Get live statistics and analysis of David Shapiro ⏩'s profile on X / Twitter
Liberate humanity from drudgery.
975following46kfollowers
The Innovator
David Shapiro is on a mission to liberate humanity from drudgery with sharp tech insights and a knack for highlighting what really matters. Known for his prolific tweeting and candid takes, he speaks directly to those craving smarter, simpler digital experiences. His blend of humor, frustration, and optimism keeps followers engaged and thinking.
David’s idea of a quiet day is probably just a few thousand tweets about how tech companies are messing up, proving that if over-tweeting was a superpower, he’d have already liberated humanity single-handedly—assuming he doesn’t rage quit halfway through.
Achieving over a million views on a tweet about YouTube’s shorts function, David has clearly struck a chord with a digital audience frustrated by unnecessary tech annoyances, showcasing his influence in shaping online tech conversations.
David’s life purpose revolves around innovation that improves everyday life, especially by applying technology to reduce monotonous tasks and enhance human productivity and creativity.
He believes in the power of technology as a tool for liberation rather than distraction, values transparency, efficiency, and authenticity, and is skeptical of overhyped solutions that fail to deliver real value.
David’s biggest strength lies in his relentless pursuit of practical innovation and his ability to communicate technical frustrations in a relatable, witty way that sparks conversation and community engagement.
His frequent and direct critiques can sometimes come off as blunt or overly negative, which might alienate those who prefer more diplomatic discourse or who work within the criticized systems.
To grow his audience on X, David should consider weaving in more structured threads that not only highlight problems but also offer actionable solutions or steps people can take—mixing critique with hope can amplify his impact and follower engagement.
Despite tweeting over 20,000 times, David maintains a sharp focus on cutting through noise, evidenced by his popular request to disable YouTube Shorts — a plea that resonated with thousands who struggle with digital distractions.
Go-to for Web3, SaaS & tech: driving growth, building impactful communities, leading partnerships & content strategy for founders&teams. My DMs are open
building a soft skills app. sharing tips on speaking effectively. exploring AI x crypto.
→ beta reccite.com
→ dev & growth @arweaveindia
opensourcerer 🧙🏼♂️
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That means there's something our brains are doing algorithmically to do far more with far less data. 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The implications are staggering, to say the least. \n\nOkay, we know what Ilya saw, and it wasn't just Q* and Strawberry. That was the first step. What he really saw was the oscillation between these three steps:\n\n1. Scaling laws of training and compute. We can reliably predict how much data/compute are required to get to the next level of AI models. \n\n2. Inference time compute scaling laws. Letting the models think longer (spending more tokens on thinking and such) yields orders of magnitude improvements. \n\n3. Distillation, which is where you use one \"teacher model\" to train the next generation \"student model\" which is sort of like going from a pidgin language to a true creole language. (magically better)\n\nCombine that with increasing evidence that AI is generalizing beyond its training distribution and it's GAME OVER. This is it. \n\nBut that's not even the best part. \n\nIt seems like every AI shop figured this all out at the same time. There is no moat. 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Now, we had a car culture by the 1950s... But that's still five decades and two industrial wars worth of innovation. \n\nWe did everything we could to speed it up: pneumatic hybrid robots are a no go. Air tanks need to be swapped every 20-30 minutes. \n\nThe ONE saving grace might be exotic actuators like electropolymer muscles. Right now, they just aren't strong enough. BUT, if we can make them stronger and cheaper, our petrochemical industrial base could accelerate the deployment of humanoid robots by a decade or two. \n\nSo what does this mean? \n\nWe'll hit AGI and ASI long before we can automate away all human labor. We might even hit the Singularity before we can scale up enough robots to replace all jobs. \n\nHere's my current timeline: \n\n2025 to 2030: Collapse of knowledge work. The \"KVM Rule\" applies: any job you can do entirely with a keyboard, video, and mouse will be fully replaced.\n\n2030 to 2040: Droid scaling up starts to really make a dent. \n\n2040 to 2060: We'll finally reach global labor substitution with robots. \n\nWhat does this mean? There are a few jobs that are going to stick around for the foreseeable future: \n\n1. Skilled labor. Robots will be able to do your job as a mechanic or welder very soon. However, there simply won't be enough robots to go around. \n\n2. High Accountability Jobs: doctors, lawyers, comptrollers, financial advisors - all jobs that require license, insurance, and accountability. Also called statutory jobs (law requires a human or does not contemplate non-human labor) \n\n3. Meaning Jobs: authenticity and sentimental premium. Celebrities, performers, influencers, athletes, priests, philosophers, and some educators, caretakers, etc\n\n4. Complex Relationship Jobs: politicians, diplomats, negotiators, governance, account executive. \n\n5. Capitalists. The ownership class will be fine. Always is. \n\nSo what can you do? \n\nUpskill and reskill. Join the meaning economy or get into skilled trades. All you smart desk jockeys would make great HVAC techs, mechanics, linemen, and more. But just keep in mind you're going to have a lot of stiff competition. \n\nThere are a few silver linings to this news:\n\nFIRST it means that we have longer to adapt to total economic upset. Yes, AI and robots will hypothetically be able to take all jobs within 5 years, but human bodies are still more abundant, more portable, and more energy efficient. This is a VERY deep moat. \n\nSECOND it means that a Terminator style takeover is economically impossible. MIL-SPEC and NIST standards mean that ASI can't hack our hardware and even if we have a few AI bots, tanks and aircraft, humans win on sheer volume for many decades to come - more than long enough to solve alignment. \n\nHOWEVER it means we'll have ordinary jobs for a lot longer than we'd like. Deployment will be uneven, so some economies will saturate with robots sooner than others.\n\nBUT this gives PLE an avenue. Create ESOP and cooperatives that own a bunch of robots. That means we collectively buy, own, and operate robots for everything from construction to leasing to businesses, and we collect the rent. Or we tax the crap out of them. \n\nWhat do you think? Can we figure out a faster way to ramp up humanoid robot production or are we doomed to skilled and unskilled blue collar work for the next generation?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,105],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1897014789089714203","view_count":421865,"bookmark_count":447,"created_at":1741118545000,"favorite_count":2483,"quote_count":157,"reply_count":533,"retweet_count":204,"user_id_str":"1795781228399869952","conversation_id_str":"1897014789089714203","full_text":"I don't know if you guys realize this, but AI will be able to invent new physics by the end of this year.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1888111042301211084","quoted_status_permalink":{"url":"https://t.co/KxjW0dakv5","expanded":"https://twitter.com/tsarnick/status/1888111042301211084","display":"x.com/tsarnick/statu…"},"retweeted":false,"fact_check":null,"id":"1888238606273180081","view_count":760800,"bookmark_count":1176,"created_at":1739026140000,"favorite_count":2238,"quote_count":109,"reply_count":500,"retweet_count":207,"user_id_str":"1795781228399869952","conversation_id_str":"1888238606273180081","full_text":"Computer programming, one of the most valuable and rarified skills today, will be 100% solved by the end of 2025. \n\nThat means it will be superhuman, across the board. That means no scarcity of code forever and ever after this. \n\nAny software you need? \n\nIt can be conjured out of thin air for a few cents. \n\nMy first task: build a scalable global blockchain identity management framework that is intrinsically open, standardized, and interoperable. Basically, we need a stateless, scalable, open source way of proving identity.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,24],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/pjB6Efo3sG","expanded_url":"https://x.com/DaveShapi/status/1906774117816160257/photo/1","id_str":"1906774052213080065","indices":[25,48],"media_key":"3_1906774052213080065","media_url_https":"https://pbs.twimg.com/media/GnY45eEXwAEq-80.jpg","type":"photo","url":"https://t.co/pjB6Efo3sG","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1795,"w":806,"resize":"fit"},"medium":{"h":1200,"w":539,"resize":"fit"},"small":{"h":680,"w":305,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1795,"width":806,"focus_rects":[{"x":0,"y":804,"w":806,"h":451},{"x":0,"y":626,"w":806,"h":806},{"x":0,"y":570,"w":806,"h":919},{"x":0,"y":183,"w":806,"h":1612},{"x":0,"y":0,"w":806,"h":1795}]},"allow_download_status":{"allow_download":true},"media_results":{"result":{"media_key":"3_1906774052213080065"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/pjB6Efo3sG","expanded_url":"https://x.com/DaveShapi/status/1906774117816160257/photo/1","id_str":"1906774052213080065","indices":[25,48],"media_key":"3_1906774052213080065","media_url_https":"https://pbs.twimg.com/media/GnY45eEXwAEq-80.jpg","type":"photo","url":"https://t.co/pjB6Efo3sG","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1795,"w":806,"resize":"fit"},"medium":{"h":1200,"w":539,"resize":"fit"},"small":{"h":680,"w":305,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1795,"width":806,"focus_rects":[{"x":0,"y":804,"w":806,"h":451},{"x":0,"y":626,"w":806,"h":806},{"x":0,"y":570,"w":806,"h":919},{"x":0,"y":183,"w":806,"h":1612},{"x":0,"y":0,"w":806,"h":1795}]},"allow_download_status":{"allow_download":true},"media_results":{"result":{"media_key":"3_1906774052213080065"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1906774117816160257","view_count":426703,"bookmark_count":1325,"created_at":1743445350000,"favorite_count":4523,"quote_count":108,"reply_count":447,"retweet_count":256,"user_id_str":"1795781228399869952","conversation_id_str":"1906774117816160257","full_text":"This is kinda unsettling https://t.co/pjB6Efo3sG","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,37],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/vI7z4wGMjv","expanded_url":"https://x.com/DaveShapi/status/1953139780679508191/photo/1","id_str":"1953139749864062976","indices":[38,61],"media_key":"3_1953139749864062976","media_url_https":"https://pbs.twimg.com/media/GxryQRtXwAAisM1.png","type":"photo","url":"https://t.co/vI7z4wGMjv","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":435,"w":767,"resize":"fit"},"medium":{"h":435,"w":767,"resize":"fit"},"small":{"h":386,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":435,"width":767,"focus_rects":[{"x":0,"y":0,"w":767,"h":430},{"x":0,"y":0,"w":435,"h":435},{"x":0,"y":0,"w":382,"h":435},{"x":25,"y":0,"w":218,"h":435},{"x":0,"y":0,"w":767,"h":435}]},"allow_download_status":{"allow_download":true},"media_results":{"result":{"media_key":"3_1953139749864062976"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/vI7z4wGMjv","expanded_url":"https://x.com/DaveShapi/status/1953139780679508191/photo/1","id_str":"1953139749864062976","indices":[38,61],"media_key":"3_1953139749864062976","media_url_https":"https://pbs.twimg.com/media/GxryQRtXwAAisM1.png","type":"photo","url":"https://t.co/vI7z4wGMjv","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":435,"w":767,"resize":"fit"},"medium":{"h":435,"w":767,"resize":"fit"},"small":{"h":386,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":435,"width":767,"focus_rects":[{"x":0,"y":0,"w":767,"h":430},{"x":0,"y":0,"w":435,"h":435},{"x":0,"y":0,"w":382,"h":435},{"x":25,"y":0,"w":218,"h":435},{"x":0,"y":0,"w":767,"h":435}]},"allow_download_status":{"allow_download":true},"media_results":{"result":{"media_key":"3_1953139749864062976"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"quoted_status_id_str":"1953139020231569685","quoted_status_permalink":{"url":"https://t.co/4zL3b9BvVd","expanded":"https://twitter.com/OpenAI/status/1953139020231569685","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1953139780679508191","view_count":351824,"bookmark_count":162,"created_at":1754499785000,"favorite_count":4099,"quote_count":30,"reply_count":362,"retweet_count":104,"user_id_str":"1795781228399869952","conversation_id_str":"1953139780679508191","full_text":"What do you think they meant by this? https://t.co/vI7z4wGMjv","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,189],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1956419909031715257","view_count":136241,"bookmark_count":116,"created_at":1755281829000,"favorite_count":1361,"quote_count":21,"reply_count":360,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1956419909031715257","full_text":"Okay, even GPT-5 Thinking has been lobotomized or something. It's half-assing every response, not looking things up, and generally just being lazy and giving generic answers. \n\nAnyone else?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,274],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/S8gHcMlSbN","expanded_url":"https://x.com/DaveShapi/status/1880937932833304911/photo/1","id_str":"1880935882288476160","indices":[275,298],"media_key":"3_1880935882288476160","media_url_https":"https://pbs.twimg.com/media/GhptOCUXMAAgLjb.jpg","type":"photo","url":"https://t.co/S8gHcMlSbN","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":628,"w":1200,"resize":"fit"},"medium":{"h":628,"w":1200,"resize":"fit"},"small":{"h":356,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":628,"width":1200,"focus_rects":[{"x":79,"y":0,"w":1121,"h":628},{"x":496,"y":0,"w":628,"h":628},{"x":535,"y":0,"w":551,"h":628},{"x":653,"y":0,"w":314,"h":628},{"x":0,"y":0,"w":1200,"h":628}]},"allow_download_status":{"allow_download":true},"media_results":{"result":{"media_key":"3_1880935882288476160"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/S8gHcMlSbN","expanded_url":"https://x.com/DaveShapi/status/1880937932833304911/photo/1","id_str":"1880935882288476160","indices":[275,298],"media_key":"3_1880935882288476160","media_url_https":"https://pbs.twimg.com/media/GhptOCUXMAAgLjb.jpg","type":"photo","url":"https://t.co/S8gHcMlSbN","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":628,"w":1200,"resize":"fit"},"medium":{"h":628,"w":1200,"resize":"fit"},"small":{"h":356,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":628,"width":1200,"focus_rects":[{"x":79,"y":0,"w":1121,"h":628},{"x":496,"y":0,"w":628,"h":628},{"x":535,"y":0,"w":551,"h":628},{"x":653,"y":0,"w":314,"h":628},{"x":0,"y":0,"w":1200,"h":628}]},"allow_download_status":{"allow_download":true},"media_results":{"result":{"media_key":"3_1880935882288476160"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1880937932833304911","view_count":487286,"bookmark_count":1591,"created_at":1737285523000,"favorite_count":3851,"quote_count":91,"reply_count":357,"retweet_count":425,"user_id_str":"1795781228399869952","conversation_id_str":"1880937932833304911","full_text":"I figured out why LLMs are so good at medicine. \n\nIt's all just pattern recognition. When people say \"AI is just a pattern recognizer\" I'm just thinking \"What do you think diagnosing diseases is?\" \n\nIt's recognizing a cluster of symptoms and labs - a pattern if you will. No wonder ChatGPT soared past doctors before almost any other prestigious job. \n\nNow compare that to other non-critical characteristics, like \"bedside manner\" and \"availability.\" ChatGPT (and Claude) have crossed the four criteria for economic replacement. \n\nBETTER - ChatGPT alone provided better diagnosis\nFASTER - ChatGPT is available 24/7 (human doctors are not)\nCHEAPER - ChatGPT costs $20 per month\nSAFER - ChatGPT has a 90% accuracy, human doctors only 73%\n\nHow much money do you think will be wasted by slowing down this transition? How many lives do you think will be lost by needless human mistakes? How much unnecessary suffering do you think will occur by not promoting this quickly?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1893410600232911272","view_count":12621608,"bookmark_count":890,"created_at":1740259239000,"favorite_count":3686,"quote_count":65,"reply_count":328,"retweet_count":312,"user_id_str":"1795781228399869952","conversation_id_str":"1893410600232911272","full_text":"I just did not one but TWO developmental edits in a row with Grok 3. \n\nThis is for my book Have a Nice Trip!\n\nFor context, a \"developmental edit\" is when you restructure a book, which is one of the most cognitive demanding tasks ANY author can do. \n\nNot only can Grok keep track of the entire throughline of the book, it can pick out needles in a haystack AND riff with you in the stream of the conversation. \n\nI moved a few chapters around, added a new chapter, merged a couple chapters, and all the while, Grok kept up with the play-by-play. \n\nThis didn't save me hours or days, this saved me weeks or months of drafting and editing. Furthermore, with each pass, I could just copy/paste the whole manuscript into a new chat and see which points were smoothed out. It was a \"squeaky wheel gets the grease\" kind of thing. \n\nNow it's on to final beta reads and professional edits to tighten up the copy... holy crap...","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1842550939862827364","view_count":389585,"bookmark_count":856,"created_at":1728133351000,"favorite_count":2304,"quote_count":72,"reply_count":306,"retweet_count":190,"user_id_str":"1795781228399869952","conversation_id_str":"1842550939862827364","full_text":"As much shit as I give OpenAI they are totally about to nuke a good portion of white collar work and nobody seems to notice. 85% of my audience still doesn't believe we have AGI when AI has: \n\n1. Surpassed most human coders\n2. Crushes the LSAT and qualifies for MENSA\n3. Can provide better diagnostic interpretation than humans\n4. Can aid in cancer research\n\nThis is what I mean when I say I'm bored of AI. Mostly I'm bored of humans. Y'all will catch up when AI bitchslaps you into the 21st century.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1867696401830096970","quoted_status_permalink":{"url":"https://t.co/IoaRRQv28y","expanded":"https://twitter.com/_jasonwei/status/1867696401830096970","display":"x.com/_jasonwei/stat…"},"retweeted":false,"fact_check":null,"id":"1867699244011794818","view_count":611023,"bookmark_count":1590,"created_at":1734129174000,"favorite_count":3830,"quote_count":71,"reply_count":302,"retweet_count":388,"user_id_str":"1795781228399869952","conversation_id_str":"1867699244011794818","full_text":"One of the best points that someone made to me once was this:\n\n\"Humans generalize on far less data than AI currently does. That means there's something our brains are doing algorithmically to do far more with far less data. Until we figure out that paradigm, we are no where near the top of what we can do with AI.\"\n\nI'm sort of paraphrasing but that was a such a poignant observation that I still think about it regularly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1900500732945571928","view_count":118248,"bookmark_count":454,"created_at":1741949658000,"favorite_count":1273,"quote_count":31,"reply_count":301,"retweet_count":109,"user_id_str":"1795781228399869952","conversation_id_str":"1900500732945571928","full_text":"Kinda disappointed in humanity rn. \n\nI write hundreds of thoughtful, thorough, well-researched blog posts about how things will change, how we can adapt, and they get 20 to 30 likes on Substack. \n\nI write a couple of grimdark vibe articles that riff one what could possible go wrong, and they are far and away my top performing articles. \n\nYou people are addicted to catastrophe porn. If you're depressed and anxious, it's your own fault. You trust your little monkey limbic systems as sources of truth and fail to override your primitive instincts with that big neocortex. \n\nYou're barely off the savannah. \n\nAfter hundreds of videos and articles that are more optimistic, thoughtful, and rigorous, I've discovered what every other communicator has discovered: if it bleeds it leads. Doom sells. Most people don't seem to have the faintest iota of systems thinking or actual rational inquiry. \n\nMy best performing Post-Labor Economics article has 56 likes and 7,500 views. You know, the actual solution to the problems. My more catastrophic article, the top performing It will get much worse before it gets better? 200 likes and almost 14,000 views. \n\nYour mind is your media diet, and it's painfully clear to me that most of you are eating junk food. As a public communicator whose income is predicated on gaining traction, why would I tell the truth when I can just fan the flames of your fear and keep your eyeballs on me longer? \n\nNo, I'm not going to sell out. I thought the first \"doom\" article was a fluke. I had an idea, and I ran with it. It will get much worse before it gets better. I've said this on many YouTube videos and I weave it in to warn my audience about what I expect, having been reading up on history, economics, and politics to understand this transition. Then I followed up with Our darkest hour approaches and, likewise, it blew up. So that's not a fluke. \n\nYou guys are just addicted to outrage and scaremongering, and as a competent writer, holy shit you have no idea how easy it is to manipulate you. When I read Noam Chomsky's works such as Necessary Illusions, I thought \"surely this is an edge case, most people recognize the impact that rhetoric has on them and they make better choices.\" \n\nNope. He was right. Bernays was right as well. \n\nA good writer, a good speaker knows how to pluck the stronger chords of your little monkey brain. The fear, the uncertainty, the doubt, and the disgust. The outrage and panic. I've resisted doing that up until now but lately I've been a bit more \"authentic\" - unfiltered, unpolished, unvarnished. \n\nI spent all this time studying rhetoric and narrative construction to deconstruct the AI Doomer arguments (which hey, now I see exactly why they think they are right! Doom and fear sells, and the market gives them that feedback loop - keep pushing the doom narrative! You will definitely make more money!)\n\nIt's disgusting and disingenuous. And most of all it is entirely your fault for your own lack of media literacy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1855895921218789392","quoted_status_permalink":{"url":"https://t.co/90z3jFehSG","expanded":"https://twitter.com/kimmonismus/status/1855895921218789392","display":"x.com/kimmonismus/st…"},"retweeted":false,"fact_check":null,"id":"1855988289238426104","view_count":2461579,"bookmark_count":1402,"created_at":1731337065000,"favorite_count":1694,"quote_count":231,"reply_count":282,"retweet_count":156,"user_id_str":"1795781228399869952","conversation_id_str":"1855988289238426104","full_text":"As someone who has studied systems, AI, intelligence, and a slew of other things, what most people don't get is just how big of a difference just 10 IQ points makes. \n\nAn IQ of 110 means that you can basically succeed at most jobs and have a decently productive life. This is your typical developer or six figure office worker. \n\nAn IQ of 120 means you can get a PhD in most topics. Lawyers, doctors, etc. \n\nAn IQ of 130 means you can get a PhD in physics or math from a prestigious university.\n\nWhen o1 started testing at 120 or so, I knew we were already past the tipping point. Every gain from here on out, even if they are tiny marginal gains, will have a disproportionate impact on the Frontier of Automation. \n\nTo put it another way, an army of 120 IQ people can't hold a candle to a good team of 130 IQ. And all of that pales in comparison to a single person with an IQ of 140. A single person with an IQ of 150 to 160 can reshape the trajectory of humanity. \n\no1-preview is already playing on scales that most people cannot comprehend.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1895261881494843402","view_count":1351838,"bookmark_count":1304,"created_at":1740700619000,"favorite_count":3968,"quote_count":41,"reply_count":273,"retweet_count":288,"user_id_str":"1795781228399869952","conversation_id_str":"1895261881494843402","full_text":"Okay, having used all the new models, here's my personal take:\n\nSonnet 3.7 is still king of coding, for sure. \n\nGrok 3 is down for just about anything, and has the best attention mechanisms BY A MILE. This will be absolutely huge for agentic and autonomous applications. If you want to understand why, read the book ON TASK by David Badre. \n\nChatGPT 4.5... well... it looks like it was rushed out the door because OpenAI doesn't like being shown up. They've had longer to cook and a 2 year lead. That lead has now been erased. The model is completely lobotomized, its attention mechanisms are no better than 4o or Sonnet 3.5 as far as I can tell, and it will just make shit up about itself (not good for self correction and error detection in autonomous applications!) \n\nPersonal verdict: Whatever xAI is doing with Grok is going to be the major differentiator. Focused attention and keeping track of threads the way that Grok can will be huge. Particularly as context windows get larger, streams of consciousness get larger, and tasks get larger. \n\nIn short, Claude and ChatGPT still have brain fog or dementia compared to how laser focused Grok 3 is. \n\nMark my words, I think this is the turning point.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,128],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1872081772630147104","view_count":158229,"bookmark_count":162,"created_at":1735174050000,"favorite_count":1201,"quote_count":20,"reply_count":272,"retweet_count":56,"user_id_str":"1795781228399869952","conversation_id_str":"1872081772630147104","full_text":"Does it strike anyone else as weird or coincidental that UFO activity is spiking right around the moment we solved AI reasoning?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}],"activities":{"nreplies":[{"label":"2025-10-18","value":2,"startTime":1760659200000,"endTime":1760745600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3WTUQxaTjP","expanded_url":"https://x.com/DaveShapi/status/1979165009495171523/photo/1","id_str":"1979162944265916416","indices":[279,302],"media_key":"3_1979162944265916416","media_url_https":"https://pbs.twimg.com/media/G3dmNjWWEAA_yDr.png","type":"photo","url":"https://t.co/3WTUQxaTjP","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":345,"y":446,"h":235,"w":235}]},"medium":{"faces":[{"x":345,"y":446,"h":235,"w":235}]},"small":{"faces":[{"x":245,"y":317,"h":167,"w":167}]},"orig":{"faces":[{"x":345,"y":446,"h":235,"w":235}]}},"sizes":{"large":{"h":955,"w":750,"resize":"fit"},"medium":{"h":955,"w":750,"resize":"fit"},"small":{"h":680,"w":534,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":955,"width":750,"focus_rects":[{"x":0,"y":0,"w":750,"h":420},{"x":0,"y":0,"w":750,"h":750},{"x":0,"y":0,"w":750,"h":855},{"x":0,"y":0,"w":478,"h":955},{"x":0,"y":0,"w":750,"h":955}]},"media_results":{"result":{"media_key":"3_1979162944265916416"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3WTUQxaTjP","expanded_url":"https://x.com/DaveShapi/status/1979165009495171523/photo/1","id_str":"1979162944265916416","indices":[279,302],"media_key":"3_1979162944265916416","media_url_https":"https://pbs.twimg.com/media/G3dmNjWWEAA_yDr.png","type":"photo","url":"https://t.co/3WTUQxaTjP","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":345,"y":446,"h":235,"w":235}]},"medium":{"faces":[{"x":345,"y":446,"h":235,"w":235}]},"small":{"faces":[{"x":245,"y":317,"h":167,"w":167}]},"orig":{"faces":[{"x":345,"y":446,"h":235,"w":235}]}},"sizes":{"large":{"h":955,"w":750,"resize":"fit"},"medium":{"h":955,"w":750,"resize":"fit"},"small":{"h":680,"w":534,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":955,"width":750,"focus_rects":[{"x":0,"y":0,"w":750,"h":420},{"x":0,"y":0,"w":750,"h":750},{"x":0,"y":0,"w":750,"h":855},{"x":0,"y":0,"w":478,"h":955},{"x":0,"y":0,"w":750,"h":955}]},"media_results":{"result":{"media_key":"3_1979162944265916416"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1979165009495171523","view_count":34299,"bookmark_count":292,"created_at":1760704684000,"favorite_count":438,"quote_count":26,"reply_count":0,"retweet_count":60,"user_id_str":"1795781228399869952","conversation_id_str":"1979165009495171523","full_text":"Some people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high 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folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals (poverty).","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"it","quoted_status_id_str":"1979221342953382229","quoted_status_permalink":{"url":"https://t.co/vetzmQ23tj","expanded":"https://twitter.com/AravSrinivas/status/1979221342953382229","display":"x.com/AravSrinivas/s…"},"retweeted":false,"fact_check":null,"id":"1979226556330373164","view_count":3116,"bookmark_count":1,"created_at":1760719357000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979226556330373164","full_text":"Anti Google propaganda","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,112],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/tG03f1AG6P","expanded_url":"https://x.com/DaveShapi/status/1979191628439941152/photo/1","id_str":"1979191566733336576","indices":[113,136],"media_key":"3_1979191566733336576","media_url_https":"https://pbs.twimg.com/media/G3eAPmWW4AAj-pk.jpg","type":"photo","url":"https://t.co/tG03f1AG6P","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":953,"w":1271,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":953,"width":1271,"focus_rects":[{"x":0,"y":0,"w":1271,"h":712},{"x":318,"y":0,"w":953,"h":953},{"x":435,"y":0,"w":836,"h":953},{"x":794,"y":0,"w":477,"h":953},{"x":0,"y":0,"w":1271,"h":953}]},"media_results":{"result":{"media_key":"3_1979191566733336576"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1451755414433894401","name":"Shivani 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I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":8,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. People don't even know what's available *today* let alone *what's coming.* \n\nThe next thing is a fetish for labor. Due to Calvinism and the Protestant work ethic, we've had several centuries of drudgery being elevated to holiness. The grind is sacrosanct. The hustle is a sign of virtue and righteousness, and anything else is sinful, lazy, and shameful. \n\nThird is a failure of imagination. It's difficult to fully wrap your head around the civilizational operating system that we're building. It started with computers, then the internet, and now AI and robotics. We're building the \"fully automated luxury space communism\" primitives as we speak. But due to normalcy bias and other cognitive failures rooted in our evolution, most people cannot read the writing on the wall. \n\nSo that's my work. I'm focusing on getting us across that finish line, but here's the silver lining - I only need to get to about 10% of the population before beliefs change. 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@primalpoly","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979630405289660472","quoted_status_permalink":{"url":"https://t.co/fkG2Qp9R2g","expanded":"https://twitter.com/NYPDnews/status/1979630405289660472","display":"x.com/NYPDnews/statu…"},"retweeted":false,"fact_check":null,"id":"1979647508210147808","view_count":5701,"bookmark_count":1,"created_at":1760819720000,"favorite_count":19,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979647508210147808","full_text":"Congrats NYPD for upholding your constitutional duties","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,57],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979660285347868877","view_count":4222,"bookmark_count":7,"created_at":1760822766000,"favorite_count":80,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1979660285347868877","full_text":"The lightbulb is to electricity what the chatbot is to 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It's my life and it's a fucking real thing. \n\nHere's what it's like to have a relapse: \n\nI was fine for about 3 weeks. Sleeping okay, even mowing the yard, doing pullups. \n\nBut then the stress got to a tipping point, and it's two weeks of hell. \n\nSevere insomnia, sleeping only 4-5 hours some nights. Fine, I've survived worse. But then the jitteriness, headaches, and gut trouble start. \n\nAnd you're stuck on the couch for a week straight, and any effort - cognitive, physical, or emotional - is a full setback. \n\nEvery time you think you're out of the woods, that you're pacing yourself and being careful, and watching your exertion like a hawk, it doesn't matter. \n\n\"Recovery is nonlinear\" \n\nThey tell you that over and over and over again. But that's the reality. I mean, hell, I had three weeks of near normal life. That's a godsend. I haven't been hiking in nearly a year. So, not entirely normal for me. But I wasn't counting my steps and watching my heart rate like a diabetic watches their glucose. \n\nIt started when my dog needed emergency surgery. That was all night at the emergency vet and $7000 I can't really afford. That pushed me over the edge and it was just too much. \n\nUltimately, that stress is going to set my recovery back by like a month. Maybe more. \n\nAt least this kinda thing is getting more publicity now. I've seen news articles talking about the hundreds of thousands or even millions of children struggling with it too. \n\nAnyone responsible for fucking Wuhan needs to be in prison for the rest of their lives and then some. Anyone doing gain of function research needs to be arrested and shut down. Forever. Millions of lives are fucking ruined. \n\nI hate everything right now. Fuck this. 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":3,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are concerned?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,283],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"14446934","name":"Jim Rutt","screen_name":"jim_rutt","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"jim_rutt","lang":"en","retweeted":false,"fact_check":null,"id":"1981744065596055871","view_count":294,"bookmark_count":1,"created_at":1761319578000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981737420824379573","full_text":"It's difficult to peel away from ready-made structures. Plenty of people have fallen back into this throughout the last century. Seraphim Rose and Jordan Peterson come to mind. They saw the Nihilistic Crisis and retreated directly to the most familiar established source of transcendent meaning. \n\nI would posit that there are a few things that religions offer:\n\n- structure\n- culture\n- calendar\n- transcendence\n- ontology\n\nIt's a complete package, and hard to replace.","in_reply_to_user_id_str":"14446934","in_reply_to_status_id_str":"1981737420824379573","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,31],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1981872264766439629","view_count":1098,"bookmark_count":1,"created_at":1761350143000,"favorite_count":8,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981861845611978922","full_text":"@bryan_johnson Mainline it wimp","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1981861845611978922","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-26","value":2,"startTime":1761350400000,"endTime":1761436800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981876481165758702","view_count":69,"bookmark_count":0,"created_at":1761351149000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981876481165758702","full_text":"Is it just me or is the Internet getting boring","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981885036359012392","view_count":1555,"bookmark_count":0,"created_at":1761353188000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981885036359012392","full_text":"If Twitter paid us for engagement hosting spaces, we'd probably host a lot more","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981770769257656605","quoted_status_permalink":{"url":"https://t.co/xFfrEPk6OB","expanded":"https://twitter.com/PirateWires/status/1981770769257656605","display":"x.com/PirateWires/st…"},"retweeted":false,"fact_check":null,"id":"1981886339554439647","view_count":3893,"bookmark_count":6,"created_at":1761353499000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981886339554439647","full_text":"\"You are all equally worthless!\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981053188599140819","quoted_status_permalink":{"url":"https://t.co/RG9XHF1Sjr","expanded":"https://twitter.com/slatestarcodex/status/1981053188599140819","display":"x.com/slatestarcodex…"},"retweeted":false,"fact_check":null,"id":"1982087188293574711","view_count":1614,"bookmark_count":5,"created_at":1761401385000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1982087188293574711","full_text":"The biggest problem with Doomers is actually three problems: \n\nFIRST: Follow the money. 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The semantic hairsplitting is very \"2024\" - this alone will dramatically improve UX. \n\n2. Figure out how to allow the chatbots to think more broadly about the data provided. It's weird, because if NO DATA is provided, they tend to be much more creative and free-ranging with possibilities. But the moment you provide context, it's like that becomes its entire world, and it either CANNOT or WILL NOT think beyond the provided data. \n\nI know - complex problems are complex - and sometimes it simply requires more reasoning and back-and-forth to come to good conclusions. But it's epistemic approach is flawed. 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But that's the exception that proves the rule. https://t.co/Od3amu7cO4","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,41],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/T9Yyt1Wg0F","expanded_url":"https://x.com/DaveShapi/status/1982860625371136257/photo/1","id_str":"1982860583423635456","indices":[42,65],"media_key":"3_1982860583423635456","media_url_https":"https://pbs.twimg.com/media/G4SJMeoW8AAVcRX.jpg","type":"photo","url":"https://t.co/T9Yyt1Wg0F","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"medium":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"small":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"orig":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]}},"sizes":{"large":{"h":511,"w":565,"resize":"fit"},"medium":{"h":511,"w":565,"resize":"fit"},"small":{"h":511,"w":565,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":511,"width":565,"focus_rects":[{"x":0,"y":0,"w":565,"h":316},{"x":0,"y":0,"w":511,"h":511},{"x":0,"y":0,"w":448,"h":511},{"x":0,"y":0,"w":256,"h":511},{"x":0,"y":0,"w":565,"h":511}]},"media_results":{"result":{"media_key":"3_1982860583423635456"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/T9Yyt1Wg0F","expanded_url":"https://x.com/DaveShapi/status/1982860625371136257/photo/1","id_str":"1982860583423635456","indices":[42,65],"media_key":"3_1982860583423635456","media_url_https":"https://pbs.twimg.com/media/G4SJMeoW8AAVcRX.jpg","type":"photo","url":"https://t.co/T9Yyt1Wg0F","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"medium":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"small":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"orig":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]}},"sizes":{"large":{"h":511,"w":565,"resize":"fit"},"medium":{"h":511,"w":565,"resize":"fit"},"small":{"h":511,"w":565,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":511,"width":565,"focus_rects":[{"x":0,"y":0,"w":565,"h":316},{"x":0,"y":0,"w":511,"h":511},{"x":0,"y":0,"w":448,"h":511},{"x":0,"y":0,"w":256,"h":511},{"x":0,"y":0,"w":565,"h":511}]},"media_results":{"result":{"media_key":"3_1982860583423635456"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1982860625371136257","view_count":7034,"bookmark_count":24,"created_at":1761585787000,"favorite_count":125,"quote_count":0,"reply_count":9,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1982860625371136257","full_text":"For young people, it's already Post-Labor https://t.co/T9Yyt1Wg0F","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"x.com/JeffLadish/sta…","expanded_url":"https://x.com/JeffLadish/status/1982256439604519022","url":"https://t.co/9N9MCItcz9","indices":[1176,1199]}],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982507854973259813","quoted_status_permalink":{"url":"https://t.co/ti9o25PaqT","expanded":"https://twitter.com/DavidSKrueger/status/1982507854973259813","display":"x.com/DavidSKrueger/…"},"retweeted":false,"fact_check":null,"id":"1982864220564652387","view_count":2211,"bookmark_count":0,"created_at":1761586644000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1982864220564652387","full_text":"This is the kind of tactic that a movement uses when their entire methodology is memetic warfare. \n\nAsk them for evidence, they say \"there is none because the technology doesn't exist yet\" \n\nYet these people have deluded themselves into thinking that they have unique reasoning powers and can accurately predict the characteristics of non-existent technology. \n\nBad faith, circular logic and this \"just debate me bro\" energy is all they have. \n\nThe incentives are perverse. \n\n1. 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They conflate \"nuclear war\" and \"climate change\" as legitimate analogs, while failing to recognize that nuclear weapons actually exist with measurable impact, and climate change is also measurable. \n\nAs a prime example to the level of cognitive deficiency, check out this \"rebuttal\" \n\nhttps://t.co/9N9MCItcz9","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982734295723909602","quoted_status_permalink":{"url":"https://t.co/lLX55Tx0CU","expanded":"https://twitter.com/UKBackintheDay2/status/1982734295723909602","display":"x.com/UKBackintheDay…"},"retweeted":false,"fact_check":null,"id":"1982883406204862623","view_count":2443,"bookmark_count":1,"created_at":1761591218000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1982883406204862623","full_text":"Officially too old (me)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982908516462669864","quoted_status_permalink":{"url":"https://t.co/wJ9ELO8BF7","expanded":"https://twitter.com/zoltan_istvan/status/1982908516462669864","display":"x.com/zoltan_istvan/…"},"retweeted":false,"fact_check":null,"id":"1982924906326265965","view_count":26305,"bookmark_count":53,"created_at":1761601113000,"favorite_count":161,"quote_count":3,"reply_count":28,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1982924906326265965","full_text":"Red pill: these are the last few years humans will ever have to work to survive. Then everyone will be able to choose work they find meaningful, not profitable \n\nBlue pill: ZOMG ASI IS GONNA KILL EVERYONE AND ELON MUSH WILL OWN YOUR COFFIN MICRO APARTMENT YOU WILL OWN NOTHING AND TECHNO FEUDALISM","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,34],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982905495775318029","quoted_status_permalink":{"url":"https://t.co/oMi87Kq8dB","expanded":"https://twitter.com/jprakapovich/status/1982905495775318029","display":"x.com/jprakapovich/s…"},"retweeted":false,"fact_check":null,"id":"1982935203199750336","view_count":5580,"bookmark_count":1,"created_at":1761603568000,"favorite_count":22,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1982935203199750336","full_text":"Is it possible to learn this 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to lay off 600,000? \n\nThere’s been a lot of noise floating around about Amazon laying off 75% of its workforce. On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to 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2077","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983233494575952138","quoted_status_permalink":{"url":"https://t.co/4UtvCLEYSB","expanded":"https://twitter.com/1x_tech/status/1983233494575952138","display":"x.com/1x_tech/status…"},"retweeted":false,"fact_check":null,"id":"1983306414899769496","view_count":20806,"bookmark_count":28,"created_at":1761692072000,"favorite_count":381,"quote_count":0,"reply_count":35,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1983306414899769496","full_text":"This kinda stuff is gonna start coming thick and fast.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,60],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983261609398284718","quoted_status_permalink":{"url":"https://t.co/AcF3kosGDb","expanded":"https://twitter.com/extropic/status/1983261609398284718","display":"x.com/extropic/statu…"},"retweeted":false,"fact_check":null,"id":"1983304367903330630","view_count":88352,"bookmark_count":167,"created_at":1761691583000,"favorite_count":679,"quote_count":4,"reply_count":2,"retweet_count":33,"user_id_str":"1795781228399869952","conversation_id_str":"1983304367903330630","full_text":"We might be about to see history in the making. \n\nStay tuned","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,140],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982763752798978200","quoted_status_permalink":{"url":"https://t.co/xKiB443qnr","expanded":"https://twitter.com/ItIsHoeMath/status/1982763752798978200","display":"x.com/ItIsHoeMath/st…"},"retweeted":false,"fact_check":null,"id":"1983173056689517034","view_count":4161,"bookmark_count":1,"created_at":1761660276000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983173056689517034","full_text":"For a guy who makes a lot of videos about thinking, humanity, and philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive collapse.","in_reply_to_user_id_str":"1768708221764616192","in_reply_to_status_id_str":"1983155034797027376","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-30","value":41,"startTime":1761696000000,"endTime":1761782400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,78],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983480922327646543","view_count":2070,"bookmark_count":0,"created_at":1761733677000,"favorite_count":17,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983480922327646543","full_text":"I'm thinking about maybe creating a burnout/long COVID community or something.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1976682220531171346","quoted_status_permalink":{"url":"https://t.co/rtVK8C7Nfl","expanded":"https://twitter.com/darkpurity993/status/1976682220531171346","display":"x.com/darkpurity993/…"},"retweeted":false,"fact_check":null,"id":"1983493572885090552","view_count":3350,"bookmark_count":0,"created_at":1761736693000,"favorite_count":19,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983493572885090552","full_text":"OMG 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have 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\n\nTechnology is a 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pick me up tpot is about to melt down again https://t.co/E7j22v68RK","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,59],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983733826217300085","quoted_status_permalink":{"url":"https://t.co/lo7O2BKWS6","expanded":"https://twitter.com/bwinterrose/status/1983733826217300085","display":"x.com/bwinterrose/st…"},"retweeted":false,"fact_check":null,"id":"1983915905886146684","view_count":4180,"bookmark_count":2,"created_at":1761837385000,"favorite_count":68,"quote_count":0,"reply_count":2,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1983915905886146684","full_text":"Okay but 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greatest paradox of philosophy: no one can prove their phenomenological consciousness to anyone else. \n\nWe just have to to take it on faith. \n\nOr slip into solipsism","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2319024469","name":"Julia McCoy","screen_name":"JuliaEMcCoy","indices":[10,22]},{"id_str":"2319024469","name":"Julia 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":15,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. Even having a truly novel thought is nearly impossible for most people.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,133],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984131518353305875","quoted_status_permalink":{"url":"https://t.co/uh79tvcVBn","expanded":"https://twitter.com/honeyNonABG/status/1984131518353305875","display":"x.com/honeyNonABG/st…"},"retweeted":false,"fact_check":null,"id":"1984268699185107001","view_count":8097,"bookmark_count":1,"created_at":1761921498000,"favorite_count":19,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984268699185107001","full_text":"Both are entirely unattainable to the vast majority of men. \n\nThat is the point. \n\nLibido and sexual frustration drive the economy. 🤪","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,135],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983941806393024762","quoted_status_permalink":{"url":"https://t.co/zOgKf9vkn2","expanded":"https://twitter.com/sama/status/1983941806393024762","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1984266718102094052","view_count":3770,"bookmark_count":3,"created_at":1761921026000,"favorite_count":36,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"Still very clearly status-seeking behavior. \n\n- wealth\n- power\n- influence\n- fame\n- impact\n\nDifferent labels for the same thing: STATUS","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984001525556097507","quoted_status_permalink":{"url":"https://t.co/wJ5qkDlXe7","expanded":"https://twitter.com/sama/status/1984001525556097507","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1984277732902203547","view_count":2334,"bookmark_count":0,"created_at":1761923652000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984277732902203547","full_text":"All solutions are bandaids.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984067754270319052","quoted_status_permalink":{"url":"https://t.co/2rWvzlKFxF","expanded":"https://twitter.com/michaeljburry/status/1984067754270319052","display":"x.com/michaeljburry/…"},"retweeted":false,"fact_check":null,"id":"1984278188151939254","view_count":3051,"bookmark_count":1,"created_at":1761923760000,"favorite_count":23,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984278188151939254","full_text":"He just shorted the entire AI market didn't he?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984277499623125184","view_count":2094,"bookmark_count":2,"created_at":1761923596000,"favorite_count":26,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984277499623125184","full_text":"I wish I had nothing better to do than social commentary and futzing around with the new Extropic chips. \n\nBut I actually do have more important work to do. And that's weird to sit with. \n\nWe've got a Post-Labor world to build, and at least right now, it is not a foregone conclusion that it will 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I see this I'm like \"oh no what did I do now\" 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 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2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? 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As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND entropy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,30],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/0k1FDM2ew8","expanded_url":"https://x.com/DaveShapi/status/1985398071602139319/photo/1","id_str":"1985398039456944128","indices":[31,54],"media_key":"3_1985398039456944128","media_url_https":"https://pbs.twimg.com/media/G42M_2-WkAAlj32.png","type":"photo","url":"https://t.co/0k1FDM2ew8","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":918,"w":891,"resize":"fit"},"medium":{"h":918,"w":891,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":918,"width":891,"focus_rects":[{"x":0,"y":323,"w":891,"h":499},{"x":0,"y":27,"w":891,"h":891},{"x":0,"y":0,"w":805,"h":918},{"x":68,"y":0,"w":459,"h":918},{"x":0,"y":0,"w":891,"h":918}]},"media_results":{"result":{"media_key":"3_1985398039456944128"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/0k1FDM2ew8","expanded_url":"https://x.com/DaveShapi/status/1985398071602139319/photo/1","id_str":"1985398039456944128","indices":[31,54],"media_key":"3_1985398039456944128","media_url_https":"https://pbs.twimg.com/media/G42M_2-WkAAlj32.png","type":"photo","url":"https://t.co/0k1FDM2ew8","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":918,"w":891,"resize":"fit"},"medium":{"h":918,"w":891,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":918,"width":891,"focus_rects":[{"x":0,"y":323,"w":891,"h":499},{"x":0,"y":27,"w":891,"h":891},{"x":0,"y":0,"w":805,"h":918},{"x":68,"y":0,"w":459,"h":918},{"x":0,"y":0,"w":891,"h":918}]},"media_results":{"result":{"media_key":"3_1985398039456944128"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985398071602139319","view_count":15804,"bookmark_count":75,"created_at":1762190761000,"favorite_count":238,"quote_count":5,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1985398071602139319","full_text":"This is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":7,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":58,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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Killed the personality, so the UX suffered across the board\n\n2. Poo-pooed on writing ability because who cares about clarity, prose, when you can just autistically code?\n\n3. Doubled down on creating a \"digital human replica\" hence the abysmal performance on medical issues (it just parrots what you can find on the FDA website and other establishment institutions without thinking for itself)\n\nAll in the pursuit of becoming more palatable for enterprises. 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fam\n\n(Cheesesteak was winning when I got hungry) https://t.co/hfJHeCoN51","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989193813043069219","quoted_status_permalink":{"url":"https://t.co/eco47F5jFr","expanded":"https://twitter.com/sama/status/1989193813043069219","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1989817149834346843","view_count":898,"bookmark_count":1,"created_at":1763244352000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989817149834346843","full_text":"Yay good job team \n\nLowering the bar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,115],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989059233745137757","quoted_status_permalink":{"url":"https://t.co/xLwZJT3mfj","expanded":"https://twitter.com/0xQuasark/status/1989059233745137757","display":"x.com/0xQuasark/stat…"},"retweeted":false,"fact_check":null,"id":"1989486853276270627","view_count":7656,"bookmark_count":5,"created_at":1763165603000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989486853276270627","full_text":"I find these points compelling and worth considering. \n\nOn the one hand, awareness. \n\nOn the other hand, 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people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high 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folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals 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I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":297,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. People don't even know what's available *today* let alone *what's coming.* \n\nThe next thing is a fetish for labor. Due to Calvinism and the Protestant work ethic, we've had several centuries of drudgery being elevated to holiness. The grind is sacrosanct. The hustle is a sign of virtue and righteousness, and anything else is sinful, lazy, and shameful. \n\nThird is a failure of imagination. It's difficult to fully wrap your head around the civilizational operating system that we're building. It started with computers, then the internet, and now AI and robotics. We're building the \"fully automated luxury space communism\" primitives as we speak. But due to normalcy bias and other cognitive failures rooted in our evolution, most people cannot read the writing on the wall. \n\nSo that's my work. I'm focusing on getting us across that finish line, but here's the silver lining - I only need to get to about 10% of the population before beliefs change. Then about 25% of the population before social norms change. And, like I said, this wave is coming whether or not people or ready, and weather or not I do anything. I'm just helping prepare the way. \n\nBut there will be much resistance. Myopic people are already viewing AI as a left-vs-right political problem, not humanity's most important project. Others are focused on slop and copyright, not the total liberation of humanity from drudgery. And yet others look at this technology and think it spells doom rather than abundance. \n\nOur species' emotional and epistemic immune systems are fully online. 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It was just an unstructured diatribe last night. Here's what I've learned since:\n\n>>> Chronic sleep disturbances are one of the most durable symptoms of long COVID, and can persist for 2+ years\n\nMy system is still sensitive but gaining resilience. I am *generally* able to get back to sleep with appropriate interventions and my autonomic numbers are remaining *mostly* stable. 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cloud infrastructure explaining to VPs that they didn't pay to do two-hot redundancy on business critical apps and it's literally not possible to stand up an entirely new production instance from scratch in 2 hours, that even getting firewall approvals will take at least a week or a full change management cycle.\n\nBeen there.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,90],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980130199900741965","quoted_status_permalink":{"url":"https://t.co/Mm65zCunh5","expanded":"https://twitter.com/readswithravi/status/1980130199900741965","display":"x.com/readswithravi/…"},"retweeted":false,"fact_check":null,"id":"1980280565279367241","view_count":1644,"bookmark_count":0,"created_at":1760970653000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1980280565279367241","full_text":"This is like something that a toxic manager will say to you after 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Pro?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,262],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981371085598970358","quoted_status_permalink":{"url":"https://t.co/sC93lU6d8n","expanded":"https://twitter.com/DaveShapi/status/1981371085598970358","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1981371372828819755","view_count":3876,"bookmark_count":5,"created_at":1761230722000,"favorite_count":40,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1981371372828819755","full_text":"The new red pill vs blue pill argument. \n\nRED PILL: AI and robots are very obviously going to refactor economics and jobs, and liberate humanity from the drudgery of wage slavery\n\nBLUE PILL: \"AI bros just want to destroy tradition and leave everyone else 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":6,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on that.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,62],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981432376371626193","quoted_status_permalink":{"url":"https://t.co/43euS6GEqo","expanded":"https://twitter.com/laurenbalik/status/1981432376371626193","display":"x.com/laurenbalik/st…"},"retweeted":false,"fact_check":null,"id":"1981692206244372497","view_count":667,"bookmark_count":0,"created_at":1761307214000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981692206244372497","full_text":"I dunno this looks a lot like the pot calling the kettle black","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/SVjmwG4RM0","expanded_url":"https://x.com/DaveShapi/status/1981800650515284277/photo/1","ext_alt_text":"That Is Exactly What It Means Freddie Benson 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are 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On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to avoid.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"in","quoted_status_id_str":"1982922186517299418","quoted_status_permalink":{"url":"https://t.co/3RXZfidqAB","expanded":"https://twitter.com/RinoTheBouncer/status/1982922186517299418","display":"x.com/RinoTheBouncer…"},"retweeted":false,"fact_check":null,"id":"1983176221883347294","view_count":1466,"bookmark_count":0,"created_at":1761661031000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983176221883347294","full_text":"Cyberpunk 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philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have seen this since GPT-3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,69],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983535994415820995","quoted_status_permalink":{"url":"https://t.co/D95PtacJ94","expanded":"https://twitter.com/DeryaTR_/status/1983535994415820995","display":"x.com/DeryaTR_/statu…"},"retweeted":false,"fact_check":null,"id":"1983577458696769866","view_count":2839,"bookmark_count":2,"created_at":1761756693000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983577458696769866","full_text":"One need only look at history to see this. \n\nTechnology is a win-win.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1983574241199989098","view_count":2955,"bookmark_count":2,"created_at":1761755926000,"favorite_count":44,"quote_count":2,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1983574241199989098","full_text":"ICE is behaving like the gestapo. \n\nEveryone sees this. \n\nIt's very clear that Trump is trying to start a race war, or something like that. \n\nThe difference is that more Americans care about Constitutional rights than trying to appoint a king. \n\nAlso, consider that the majority of social media accounts that are pushing for ICE and cheering them on are Russian bots.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[9,18]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983581354856939770","view_count":2893,"bookmark_count":0,"created_at":1761757622000,"favorite_count":64,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1983581354856939770","full_text":"Congrats @GillVerd on the breakthrough on tokens/joule","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983524820173410485","quoted_status_permalink":{"url":"https://t.co/KQO6Mczv69","expanded":"https://twitter.com/chamath/status/1983524820173410485","display":"x.com/chamath/status…"},"retweeted":false,"fact_check":null,"id":"1983580874575593959","view_count":13931,"bookmark_count":32,"created_at":1761757508000,"favorite_count":118,"quote_count":3,"reply_count":14,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1983580874575593959","full_text":"The biggest problem right now is the Overton window is too closed. \n\nReality is biting. \n\nPeople feel it. \n\nSome people are in denial. \n\nSome people are screaming at the wrong things. \n\nEveryone is trying to capitalize on it. \n\nBut politicians and CEOs aren't yet allowed to have frank, honest, candid conversations about the impact of AI. \n\nJoin me. \n\nTake the AI red pill and wake up to reality. \n\nThe AI blue pill is for deniers, skeptics, doomers, and all other charlatans.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,98],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579587649904960","quoted_status_permalink":{"url":"https://t.co/kZ0OmA6uyu","expanded":"https://twitter.com/Extropic_AI/status/1983579587649904960","display":"x.com/Extropic_AI/st…"},"retweeted":false,"fact_check":null,"id":"1983580079587225668","view_count":13821,"bookmark_count":37,"created_at":1761757318000,"favorite_count":360,"quote_count":2,"reply_count":0,"retweet_count":26,"user_id_str":"1795781228399869952","conversation_id_str":"1983580079587225668","full_text":"You know how people are hyped about software scaling laws? \n\nThis could be much, much, much bigger","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579084081787175","quoted_status_permalink":{"url":"https://t.co/OxLdkBcGdG","expanded":"https://twitter.com/Sathos__voice/status/1983579084081787175","display":"x.com/Sathos__voice/…"},"retweeted":false,"fact_check":null,"id":"1983579227921252397","view_count":1655,"bookmark_count":0,"created_at":1761757115000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983579227921252397","full_text":"Numbers","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,70],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983578903227589060","view_count":1233,"bookmark_count":0,"created_at":1761757038000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983578903227589060","full_text":"OpenAI has transitioned to a for profit. \n\nHow do you feel about this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983585693570892184","view_count":474075,"bookmark_count":737,"created_at":1761758657000,"favorite_count":2321,"quote_count":54,"reply_count":1,"retweet_count":185,"user_id_str":"1795781228399869952","conversation_id_str":"1983585693570892184","full_text":"Guys, Moore's law just became irrelevant. \n\n@BasedBeffJezos started out working on quantum computing and realized \"this is dumb there's a better way\" and then just launched a thermodynamic processor. \n\nIt's 10,000x more efficient at converting joules into tokens. \n\nThis means you'll be able to run AGI on your watch eventually. And it will likely just run on the ambient temperature gradient from your body. \n\nOf any technology we've yet seen, this has the potential to get us a stones throw away from the landauer limit. \n\nYOU ARE NOT EXCITED ENOUGH.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,91],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983585693570892184","quoted_status_permalink":{"url":"https://t.co/NVIGkOYSbI","expanded":"https://twitter.com/DaveShapi/status/1983585693570892184","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1983597765881164210","view_count":10080,"bookmark_count":15,"created_at":1761761535000,"favorite_count":163,"quote_count":1,"reply_count":0,"retweet_count":17,"user_id_str":"1795781228399869952","conversation_id_str":"1983597765881164210","full_text":"This is about as big of a paradigm shift as going from vacuum tubes to integrated circuits.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"Extropic_AI","indices":[31,43]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1764578792797085888","quoted_status_permalink":{"url":"https://t.co/JLM8q0Jo86","expanded":"https://twitter.com/GillVerd/status/1764578792797085888","display":"x.com/GillVerd/statu…"},"retweeted":false,"fact_check":null,"id":"1983610511502774541","view_count":43751,"bookmark_count":49,"created_at":1761764574000,"favorite_count":352,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1983610511502774541","full_text":"Okay it all makes sense now. \n\n@Extropic_AI's TSU doesn't perform floating point operations at all.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983598321408340270","quoted_status_permalink":{"url":"https://t.co/bp3wnCH3od","expanded":"https://twitter.com/Grimezsz/status/1983598321408340270","display":"x.com/Grimezsz/statu…"},"retweeted":false,"fact_check":null,"id":"1983619715676139842","view_count":6540,"bookmark_count":10,"created_at":1761766768000,"favorite_count":42,"quote_count":0,"reply_count":9,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983619715676139842","full_text":"So, I've been studying this for a while. \n\n\"Corporations have neither bodies to be punished, nor souls to be condemned.\"\n\nThey therefore do as they please. \n\nThis was said about the East India Company. \n\nThe technology, the good, or the service is immaterial to the ethics or behavior of a company. It's all about profit motive and what they can get away with. \n\nThat is not to say they are immoral. They are amoral. There's an important difference. \n\nCompanies want one thing: money. \n\nTherefore, their \"morality\" is based on dollars. What this means in practical terms is that all their decisions are based on a cost/benefit analysis.\n\nFor instance, if the financial punishment for a social transgression is less than the profit, they will simply eat the cost. \n\nIt has always been this way, and always will. \n\nBut it means that the solution is very simple: we just make the cost of transgressions high enough that investors balk at bad behavior. \n\nBut here's the thing; we don't even need to wait for an act of Congress. \n\nLook at Target. Their CEO recently resigned due in part to public revolt and boycotting. \n\nVote with your wallet. \n\nI'm not saying this is the only solution. 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":84,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. 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Powell just validated the \"AI hiring apocalypse\" thesis from the Fed's podium.\n\nWhile GDP and AI-driven investment remain strong—which Powell says isn't a dot-com bubble because these firms \"actually have earnings\"—he admitted that adjusted job creation is \"pretty close to zero.\"\n\nHe explicitly linked this \"Great Freeze\" in the labor market to AI, noting CEOs are openly citing it for layoffs (like Amazon's 14,000 middle-manager cut) and hiring pauses.\n\nThis creates the Fed's central dilemma: AI is simultaneously creating upside risks to inflation (via investment) and downside risks to employment. 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shift","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1984274427635249519","view_count":1096,"bookmark_count":0,"created_at":1761922864000,"favorite_count":9,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"This is not a dig at Sam for being status-seeking. \n\nAll humans are status seeking. \n\nLet's just stop kidding ourselves about that fact. \n\nThis post of his is an \"aww shucks\" attempt to cast himself in a better light because he cares 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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Even the ultra safe Claude had no problem with looking up someone from a LinkedIn screenshot. https://t.co/SHfZmFHYrl","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1984232769690464690","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":147,"startTime":1761955200000,"endTime":1762041600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984199668944023612","quoted_status_permalink":{"url":"https://t.co/sl8BZcsY1k","expanded":"https://twitter.com/kimmonismus/status/1984199668944023612","display":"x.com/kimmonismus/st…"},"retweeted":false,"fact_check":null,"id":"1984562719299645675","view_count":29369,"bookmark_count":116,"created_at":1761991598000,"favorite_count":349,"quote_count":11,"reply_count":0,"retweet_count":34,"user_id_str":"1795781228399869952","conversation_id_str":"1984562719299645675","full_text":"We're actually very lucky because of this trend. Not just at a civilizational level, but as a species. \n\nIn the Dark Timeline, AI was so arcane and expensive that literally ONLY a Manhattan 2.0 could crack the code, which would have meant that, by default, it was a closely guarded secret kept by nation states, weaponized, and deployed for dominance. \n\nBut in reality, AI is a lot more like electricity - easily understood, easily reproduced, and naturally moatless. \n\nThat means it is intrinsically democratic, but not only is it democratic in nature, it is inherently democratizing as well. It levels the intellectual playing field. Now an individual can be just as smart as everyone on Wall Street, every politician, every think tank, and every university. \n\nThe internet destroyed communication gatekeeping (and we're still learning to live with that). Before the internet, it was newspapers, radio, and cable networks. The world \"felt\" less chaotic because it was more curated. Now we have the unvarnished messiness of humanity on drip feed. \n\nArtificially intelligence will utterly destroy intellectual gatekeeping. Medical opinions? Science? News? Political interpretations? AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 2.0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,85],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984417681102291299","quoted_status_permalink":{"url":"https://t.co/AdblVzfl6k","expanded":"https://twitter.com/daltonc/status/1984417681102291299","display":"x.com/daltonc/status…"},"retweeted":false,"fact_check":null,"id":"1984572221524725916","view_count":1281,"bookmark_count":4,"created_at":1761993863000,"favorite_count":17,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984572221524725916","full_text":"First order: more AI\n\nSecond order: job disruption\n\nThird order: Post-labor economics","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984572047788286455","view_count":1340,"bookmark_count":9,"created_at":1761993822000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984572047788286455","full_text":"Renaissance 2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? AI Red Pills?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984666500435705872","view_count":1517,"bookmark_count":3,"created_at":1762016341000,"favorite_count":18,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984666500435705872","full_text":"One of the problems with mass social media is that whatever your views, beliefs, or ideologies are (no matter how off the wall) you can find people who agree with you. \n\nAnd then those views and values can concentrated, refined, and amplified. \n\nPeople might then mistake that with reality. As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND 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is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":1130,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":129,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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Killed the personality, so the UX suffered across the board\n\n2. Poo-pooed on writing ability because who cares about clarity, prose, when you can just autistically code?\n\n3. Doubled down on creating a \"digital human replica\" hence the abysmal performance on medical issues (it just parrots what you can find on the FDA website and other establishment institutions without thinking for itself)\n\nAll in the pursuit of becoming more palatable for enterprises. 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fam\n\n(Cheesesteak was winning when I got hungry) https://t.co/hfJHeCoN51","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989193813043069219","quoted_status_permalink":{"url":"https://t.co/eco47F5jFr","expanded":"https://twitter.com/sama/status/1989193813043069219","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1989817149834346843","view_count":898,"bookmark_count":1,"created_at":1763244352000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989817149834346843","full_text":"Yay good job team \n\nLowering the bar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,115],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989059233745137757","quoted_status_permalink":{"url":"https://t.co/xLwZJT3mfj","expanded":"https://twitter.com/0xQuasark/status/1989059233745137757","display":"x.com/0xQuasark/stat…"},"retweeted":false,"fact_check":null,"id":"1989486853276270627","view_count":7656,"bookmark_count":5,"created_at":1763165603000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989486853276270627","full_text":"I find these points compelling and worth considering. \n\nOn the one hand, awareness. \n\nOn the other hand, 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people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high 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folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals 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I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":127,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. People don't even know what's available *today* let alone *what's coming.* \n\nThe next thing is a fetish for labor. Due to Calvinism and the Protestant work ethic, we've had several centuries of drudgery being elevated to holiness. The grind is sacrosanct. The hustle is a sign of virtue and righteousness, and anything else is sinful, lazy, and shameful. \n\nThird is a failure of imagination. It's difficult to fully wrap your head around the civilizational operating system that we're building. It started with computers, then the internet, and now AI and robotics. We're building the \"fully automated luxury space communism\" primitives as we speak. But due to normalcy bias and other cognitive failures rooted in our evolution, most people cannot read the writing on the wall. \n\nSo that's my work. I'm focusing on getting us across that finish line, but here's the silver lining - I only need to get to about 10% of the population before beliefs change. Then about 25% of the population before social norms change. And, like I said, this wave is coming whether or not people or ready, and weather or not I do anything. I'm just helping prepare the way. \n\nBut there will be much resistance. Myopic people are already viewing AI as a left-vs-right political problem, not humanity's most important project. Others are focused on slop and copyright, not the total liberation of humanity from drudgery. And yet others look at this technology and think it spells doom rather than abundance. \n\nOur species' emotional and epistemic immune systems are fully online. 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It was just an unstructured diatribe last night. Here's what I've learned since:\n\n>>> Chronic sleep disturbances are one of the most durable symptoms of long COVID, and can persist for 2+ years\n\nMy system is still sensitive but gaining resilience. I am *generally* able to get back to sleep with appropriate interventions and my autonomic numbers are remaining *mostly* stable. 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cloud infrastructure explaining to VPs that they didn't pay to do two-hot redundancy on business critical apps and it's literally not possible to stand up an entirely new production instance from scratch in 2 hours, that even getting firewall approvals will take at least a week or a full change management cycle.\n\nBeen there.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,90],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980130199900741965","quoted_status_permalink":{"url":"https://t.co/Mm65zCunh5","expanded":"https://twitter.com/readswithravi/status/1980130199900741965","display":"x.com/readswithravi/…"},"retweeted":false,"fact_check":null,"id":"1980280565279367241","view_count":1644,"bookmark_count":0,"created_at":1760970653000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1980280565279367241","full_text":"This is like something that a toxic manager will say to you after 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Pro?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,262],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981371085598970358","quoted_status_permalink":{"url":"https://t.co/sC93lU6d8n","expanded":"https://twitter.com/DaveShapi/status/1981371085598970358","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1981371372828819755","view_count":3876,"bookmark_count":5,"created_at":1761230722000,"favorite_count":40,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1981371372828819755","full_text":"The new red pill vs blue pill argument. \n\nRED PILL: AI and robots are very obviously going to refactor economics and jobs, and liberate humanity from the drudgery of wage slavery\n\nBLUE PILL: \"AI bros just want to destroy tradition and leave everyone else 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":1,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on that.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,62],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981432376371626193","quoted_status_permalink":{"url":"https://t.co/43euS6GEqo","expanded":"https://twitter.com/laurenbalik/status/1981432376371626193","display":"x.com/laurenbalik/st…"},"retweeted":false,"fact_check":null,"id":"1981692206244372497","view_count":667,"bookmark_count":0,"created_at":1761307214000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981692206244372497","full_text":"I dunno this looks a lot like the pot calling the kettle black","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/SVjmwG4RM0","expanded_url":"https://x.com/DaveShapi/status/1981800650515284277/photo/1","ext_alt_text":"That Is Exactly What It Means Freddie Benson 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are 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On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to avoid.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"in","quoted_status_id_str":"1982922186517299418","quoted_status_permalink":{"url":"https://t.co/3RXZfidqAB","expanded":"https://twitter.com/RinoTheBouncer/status/1982922186517299418","display":"x.com/RinoTheBouncer…"},"retweeted":false,"fact_check":null,"id":"1983176221883347294","view_count":1466,"bookmark_count":0,"created_at":1761661031000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983176221883347294","full_text":"Cyberpunk 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philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have seen this since GPT-3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,69],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983535994415820995","quoted_status_permalink":{"url":"https://t.co/D95PtacJ94","expanded":"https://twitter.com/DeryaTR_/status/1983535994415820995","display":"x.com/DeryaTR_/statu…"},"retweeted":false,"fact_check":null,"id":"1983577458696769866","view_count":2839,"bookmark_count":2,"created_at":1761756693000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983577458696769866","full_text":"One need only look at history to see this. \n\nTechnology is a win-win.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1983574241199989098","view_count":2955,"bookmark_count":2,"created_at":1761755926000,"favorite_count":44,"quote_count":2,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1983574241199989098","full_text":"ICE is behaving like the gestapo. \n\nEveryone sees this. \n\nIt's very clear that Trump is trying to start a race war, or something like that. \n\nThe difference is that more Americans care about Constitutional rights than trying to appoint a king. \n\nAlso, consider that the majority of social media accounts that are pushing for ICE and cheering them on are Russian bots.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[9,18]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983581354856939770","view_count":2893,"bookmark_count":0,"created_at":1761757622000,"favorite_count":64,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1983581354856939770","full_text":"Congrats @GillVerd on the breakthrough on tokens/joule","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983524820173410485","quoted_status_permalink":{"url":"https://t.co/KQO6Mczv69","expanded":"https://twitter.com/chamath/status/1983524820173410485","display":"x.com/chamath/status…"},"retweeted":false,"fact_check":null,"id":"1983580874575593959","view_count":13931,"bookmark_count":32,"created_at":1761757508000,"favorite_count":118,"quote_count":3,"reply_count":14,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1983580874575593959","full_text":"The biggest problem right now is the Overton window is too closed. \n\nReality is biting. \n\nPeople feel it. \n\nSome people are in denial. \n\nSome people are screaming at the wrong things. \n\nEveryone is trying to capitalize on it. \n\nBut politicians and CEOs aren't yet allowed to have frank, honest, candid conversations about the impact of AI. \n\nJoin me. \n\nTake the AI red pill and wake up to reality. \n\nThe AI blue pill is for deniers, skeptics, doomers, and all other charlatans.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,98],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579587649904960","quoted_status_permalink":{"url":"https://t.co/kZ0OmA6uyu","expanded":"https://twitter.com/Extropic_AI/status/1983579587649904960","display":"x.com/Extropic_AI/st…"},"retweeted":false,"fact_check":null,"id":"1983580079587225668","view_count":13821,"bookmark_count":37,"created_at":1761757318000,"favorite_count":360,"quote_count":2,"reply_count":0,"retweet_count":26,"user_id_str":"1795781228399869952","conversation_id_str":"1983580079587225668","full_text":"You know how people are hyped about software scaling laws? \n\nThis could be much, much, much bigger","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579084081787175","quoted_status_permalink":{"url":"https://t.co/OxLdkBcGdG","expanded":"https://twitter.com/Sathos__voice/status/1983579084081787175","display":"x.com/Sathos__voice/…"},"retweeted":false,"fact_check":null,"id":"1983579227921252397","view_count":1655,"bookmark_count":0,"created_at":1761757115000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983579227921252397","full_text":"Numbers","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,70],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983578903227589060","view_count":1233,"bookmark_count":0,"created_at":1761757038000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983578903227589060","full_text":"OpenAI has transitioned to a for profit. \n\nHow do you feel about this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983585693570892184","view_count":474075,"bookmark_count":737,"created_at":1761758657000,"favorite_count":2321,"quote_count":54,"reply_count":1,"retweet_count":185,"user_id_str":"1795781228399869952","conversation_id_str":"1983585693570892184","full_text":"Guys, Moore's law just became irrelevant. \n\n@BasedBeffJezos started out working on quantum computing and realized \"this is dumb there's a better way\" and then just launched a thermodynamic processor. \n\nIt's 10,000x more efficient at converting joules into tokens. \n\nThis means you'll be able to run AGI on your watch eventually. And it will likely just run on the ambient temperature gradient from your body. \n\nOf any technology we've yet seen, this has the potential to get us a stones throw away from the landauer limit. \n\nYOU ARE NOT EXCITED ENOUGH.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,91],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983585693570892184","quoted_status_permalink":{"url":"https://t.co/NVIGkOYSbI","expanded":"https://twitter.com/DaveShapi/status/1983585693570892184","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1983597765881164210","view_count":10080,"bookmark_count":15,"created_at":1761761535000,"favorite_count":163,"quote_count":1,"reply_count":0,"retweet_count":17,"user_id_str":"1795781228399869952","conversation_id_str":"1983597765881164210","full_text":"This is about as big of a paradigm shift as going from vacuum tubes to integrated circuits.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"Extropic_AI","indices":[31,43]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1764578792797085888","quoted_status_permalink":{"url":"https://t.co/JLM8q0Jo86","expanded":"https://twitter.com/GillVerd/status/1764578792797085888","display":"x.com/GillVerd/statu…"},"retweeted":false,"fact_check":null,"id":"1983610511502774541","view_count":43751,"bookmark_count":49,"created_at":1761764574000,"favorite_count":352,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1983610511502774541","full_text":"Okay it all makes sense now. \n\n@Extropic_AI's TSU doesn't perform floating point operations at all.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983598321408340270","quoted_status_permalink":{"url":"https://t.co/bp3wnCH3od","expanded":"https://twitter.com/Grimezsz/status/1983598321408340270","display":"x.com/Grimezsz/statu…"},"retweeted":false,"fact_check":null,"id":"1983619715676139842","view_count":6540,"bookmark_count":10,"created_at":1761766768000,"favorite_count":42,"quote_count":0,"reply_count":9,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983619715676139842","full_text":"So, I've been studying this for a while. \n\n\"Corporations have neither bodies to be punished, nor souls to be condemned.\"\n\nThey therefore do as they please. \n\nThis was said about the East India Company. \n\nThe technology, the good, or the service is immaterial to the ethics or behavior of a company. It's all about profit motive and what they can get away with. \n\nThat is not to say they are immoral. They are amoral. There's an important difference. \n\nCompanies want one thing: money. \n\nTherefore, their \"morality\" is based on dollars. What this means in practical terms is that all their decisions are based on a cost/benefit analysis.\n\nFor instance, if the financial punishment for a social transgression is less than the profit, they will simply eat the cost. \n\nIt has always been this way, and always will. \n\nBut it means that the solution is very simple: we just make the cost of transgressions high enough that investors balk at bad behavior. \n\nBut here's the thing; we don't even need to wait for an act of Congress. \n\nLook at Target. Their CEO recently resigned due in part to public revolt and boycotting. \n\nVote with your wallet. \n\nI'm not saying this is the only solution. 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":38,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. 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Powell just validated the \"AI hiring apocalypse\" thesis from the Fed's podium.\n\nWhile GDP and AI-driven investment remain strong—which Powell says isn't a dot-com bubble because these firms \"actually have earnings\"—he admitted that adjusted job creation is \"pretty close to zero.\"\n\nHe explicitly linked this \"Great Freeze\" in the labor market to AI, noting CEOs are openly citing it for layoffs (like Amazon's 14,000 middle-manager cut) and hiring pauses.\n\nThis creates the Fed's central dilemma: AI is simultaneously creating upside risks to inflation (via investment) and downside risks to employment. 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shift","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1984274427635249519","view_count":1096,"bookmark_count":0,"created_at":1761922864000,"favorite_count":9,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"This is not a dig at Sam for being status-seeking. \n\nAll humans are status seeking. \n\nLet's just stop kidding ourselves about that fact. \n\nThis post of his is an \"aww shucks\" attempt to cast himself in a better light because he cares 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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Even the ultra safe Claude had no problem with looking up someone from a LinkedIn screenshot. https://t.co/SHfZmFHYrl","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1984232769690464690","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":45,"startTime":1761955200000,"endTime":1762041600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984199668944023612","quoted_status_permalink":{"url":"https://t.co/sl8BZcsY1k","expanded":"https://twitter.com/kimmonismus/status/1984199668944023612","display":"x.com/kimmonismus/st…"},"retweeted":false,"fact_check":null,"id":"1984562719299645675","view_count":29369,"bookmark_count":116,"created_at":1761991598000,"favorite_count":349,"quote_count":11,"reply_count":0,"retweet_count":34,"user_id_str":"1795781228399869952","conversation_id_str":"1984562719299645675","full_text":"We're actually very lucky because of this trend. Not just at a civilizational level, but as a species. \n\nIn the Dark Timeline, AI was so arcane and expensive that literally ONLY a Manhattan 2.0 could crack the code, which would have meant that, by default, it was a closely guarded secret kept by nation states, weaponized, and deployed for dominance. \n\nBut in reality, AI is a lot more like electricity - easily understood, easily reproduced, and naturally moatless. \n\nThat means it is intrinsically democratic, but not only is it democratic in nature, it is inherently democratizing as well. It levels the intellectual playing field. Now an individual can be just as smart as everyone on Wall Street, every politician, every think tank, and every university. \n\nThe internet destroyed communication gatekeeping (and we're still learning to live with that). Before the internet, it was newspapers, radio, and cable networks. The world \"felt\" less chaotic because it was more curated. Now we have the unvarnished messiness of humanity on drip feed. \n\nArtificially intelligence will utterly destroy intellectual gatekeeping. Medical opinions? Science? News? Political interpretations? AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 2.0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,85],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984417681102291299","quoted_status_permalink":{"url":"https://t.co/AdblVzfl6k","expanded":"https://twitter.com/daltonc/status/1984417681102291299","display":"x.com/daltonc/status…"},"retweeted":false,"fact_check":null,"id":"1984572221524725916","view_count":1281,"bookmark_count":4,"created_at":1761993863000,"favorite_count":17,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984572221524725916","full_text":"First order: more AI\n\nSecond order: job disruption\n\nThird order: Post-labor economics","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984572047788286455","view_count":1340,"bookmark_count":9,"created_at":1761993822000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984572047788286455","full_text":"Renaissance 2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? 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As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND 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is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":289,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be on the cutting edge, X is where to be. \n\nOff the cuff thoughts from all kinds of people.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,195],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986133103127994586","view_count":5187,"bookmark_count":5,"created_at":1762366007000,"favorite_count":124,"quote_count":1,"reply_count":1,"retweet_count":7,"user_id_str":"1795781228399869952","conversation_id_str":"1986133103127994586","full_text":"A whole lotta sci-fi is gonna seem real quaint and obsolete. \n\n- old people and aging\n- evil AI and robots\n\nThose simply won't exist in the future\n\nBut FTL I think, will also be a forever 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":53,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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Killed the personality, so the UX suffered across the board\n\n2. Poo-pooed on writing ability because who cares about clarity, prose, when you can just autistically code?\n\n3. Doubled down on creating a \"digital human replica\" hence the abysmal performance on medical issues (it just parrots what you can find on the FDA website and other establishment institutions without thinking for itself)\n\nAll in the pursuit of becoming more palatable for enterprises. 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fam\n\n(Cheesesteak was winning when I got hungry) https://t.co/hfJHeCoN51","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989193813043069219","quoted_status_permalink":{"url":"https://t.co/eco47F5jFr","expanded":"https://twitter.com/sama/status/1989193813043069219","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1989817149834346843","view_count":898,"bookmark_count":1,"created_at":1763244352000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989817149834346843","full_text":"Yay good job team \n\nLowering the bar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,115],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989059233745137757","quoted_status_permalink":{"url":"https://t.co/xLwZJT3mfj","expanded":"https://twitter.com/0xQuasark/status/1989059233745137757","display":"x.com/0xQuasark/stat…"},"retweeted":false,"fact_check":null,"id":"1989486853276270627","view_count":7656,"bookmark_count":5,"created_at":1763165603000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989486853276270627","full_text":"I find these points compelling and worth considering. \n\nOn the one hand, awareness. \n\nOn the other hand, 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people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high 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folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals 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I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":1409,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. People don't even know what's available *today* let alone *what's coming.* \n\nThe next thing is a fetish for labor. Due to Calvinism and the Protestant work ethic, we've had several centuries of drudgery being elevated to holiness. The grind is sacrosanct. The hustle is a sign of virtue and righteousness, and anything else is sinful, lazy, and shameful. \n\nThird is a failure of imagination. It's difficult to fully wrap your head around the civilizational operating system that we're building. It started with computers, then the internet, and now AI and robotics. We're building the \"fully automated luxury space communism\" primitives as we speak. But due to normalcy bias and other cognitive failures rooted in our evolution, most people cannot read the writing on the wall. \n\nSo that's my work. I'm focusing on getting us across that finish line, but here's the silver lining - I only need to get to about 10% of the population before beliefs change. Then about 25% of the population before social norms change. And, like I said, this wave is coming whether or not people or ready, and weather or not I do anything. I'm just helping prepare the way. \n\nBut there will be much resistance. Myopic people are already viewing AI as a left-vs-right political problem, not humanity's most important project. Others are focused on slop and copyright, not the total liberation of humanity from drudgery. And yet others look at this technology and think it spells doom rather than abundance. \n\nOur species' emotional and epistemic immune systems are fully online. 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It was just an unstructured diatribe last night. Here's what I've learned since:\n\n>>> Chronic sleep disturbances are one of the most durable symptoms of long COVID, and can persist for 2+ years\n\nMy system is still sensitive but gaining resilience. I am *generally* able to get back to sleep with appropriate interventions and my autonomic numbers are remaining *mostly* stable. 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cloud infrastructure explaining to VPs that they didn't pay to do two-hot redundancy on business critical apps and it's literally not possible to stand up an entirely new production instance from scratch in 2 hours, that even getting firewall approvals will take at least a week or a full change management cycle.\n\nBeen there.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,90],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980130199900741965","quoted_status_permalink":{"url":"https://t.co/Mm65zCunh5","expanded":"https://twitter.com/readswithravi/status/1980130199900741965","display":"x.com/readswithravi/…"},"retweeted":false,"fact_check":null,"id":"1980280565279367241","view_count":1644,"bookmark_count":0,"created_at":1760970653000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1980280565279367241","full_text":"This is like something that a toxic manager will say to you after 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Pro?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,262],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981371085598970358","quoted_status_permalink":{"url":"https://t.co/sC93lU6d8n","expanded":"https://twitter.com/DaveShapi/status/1981371085598970358","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1981371372828819755","view_count":3876,"bookmark_count":5,"created_at":1761230722000,"favorite_count":40,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1981371372828819755","full_text":"The new red pill vs blue pill argument. \n\nRED PILL: AI and robots are very obviously going to refactor economics and jobs, and liberate humanity from the drudgery of wage slavery\n\nBLUE PILL: \"AI bros just want to destroy tradition and leave everyone else 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":46,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on that.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,62],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981432376371626193","quoted_status_permalink":{"url":"https://t.co/43euS6GEqo","expanded":"https://twitter.com/laurenbalik/status/1981432376371626193","display":"x.com/laurenbalik/st…"},"retweeted":false,"fact_check":null,"id":"1981692206244372497","view_count":667,"bookmark_count":0,"created_at":1761307214000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981692206244372497","full_text":"I dunno this looks a lot like the pot calling the kettle black","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/SVjmwG4RM0","expanded_url":"https://x.com/DaveShapi/status/1981800650515284277/photo/1","ext_alt_text":"That Is Exactly What It Means Freddie Benson 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are 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On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to avoid.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"in","quoted_status_id_str":"1982922186517299418","quoted_status_permalink":{"url":"https://t.co/3RXZfidqAB","expanded":"https://twitter.com/RinoTheBouncer/status/1982922186517299418","display":"x.com/RinoTheBouncer…"},"retweeted":false,"fact_check":null,"id":"1983176221883347294","view_count":1466,"bookmark_count":0,"created_at":1761661031000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983176221883347294","full_text":"Cyberpunk 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philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have seen this since GPT-3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,69],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983535994415820995","quoted_status_permalink":{"url":"https://t.co/D95PtacJ94","expanded":"https://twitter.com/DeryaTR_/status/1983535994415820995","display":"x.com/DeryaTR_/statu…"},"retweeted":false,"fact_check":null,"id":"1983577458696769866","view_count":2839,"bookmark_count":2,"created_at":1761756693000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983577458696769866","full_text":"One need only look at history to see this. \n\nTechnology is a win-win.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1983574241199989098","view_count":2955,"bookmark_count":2,"created_at":1761755926000,"favorite_count":44,"quote_count":2,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1983574241199989098","full_text":"ICE is behaving like the gestapo. \n\nEveryone sees this. \n\nIt's very clear that Trump is trying to start a race war, or something like that. \n\nThe difference is that more Americans care about Constitutional rights than trying to appoint a king. \n\nAlso, consider that the majority of social media accounts that are pushing for ICE and cheering them on are Russian bots.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[9,18]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983581354856939770","view_count":2893,"bookmark_count":0,"created_at":1761757622000,"favorite_count":64,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1983581354856939770","full_text":"Congrats @GillVerd on the breakthrough on tokens/joule","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983524820173410485","quoted_status_permalink":{"url":"https://t.co/KQO6Mczv69","expanded":"https://twitter.com/chamath/status/1983524820173410485","display":"x.com/chamath/status…"},"retweeted":false,"fact_check":null,"id":"1983580874575593959","view_count":13931,"bookmark_count":32,"created_at":1761757508000,"favorite_count":118,"quote_count":3,"reply_count":14,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1983580874575593959","full_text":"The biggest problem right now is the Overton window is too closed. \n\nReality is biting. \n\nPeople feel it. \n\nSome people are in denial. \n\nSome people are screaming at the wrong things. \n\nEveryone is trying to capitalize on it. \n\nBut politicians and CEOs aren't yet allowed to have frank, honest, candid conversations about the impact of AI. \n\nJoin me. \n\nTake the AI red pill and wake up to reality. \n\nThe AI blue pill is for deniers, skeptics, doomers, and all other charlatans.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,98],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579587649904960","quoted_status_permalink":{"url":"https://t.co/kZ0OmA6uyu","expanded":"https://twitter.com/Extropic_AI/status/1983579587649904960","display":"x.com/Extropic_AI/st…"},"retweeted":false,"fact_check":null,"id":"1983580079587225668","view_count":13821,"bookmark_count":37,"created_at":1761757318000,"favorite_count":360,"quote_count":2,"reply_count":0,"retweet_count":26,"user_id_str":"1795781228399869952","conversation_id_str":"1983580079587225668","full_text":"You know how people are hyped about software scaling laws? \n\nThis could be much, much, much bigger","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579084081787175","quoted_status_permalink":{"url":"https://t.co/OxLdkBcGdG","expanded":"https://twitter.com/Sathos__voice/status/1983579084081787175","display":"x.com/Sathos__voice/…"},"retweeted":false,"fact_check":null,"id":"1983579227921252397","view_count":1655,"bookmark_count":0,"created_at":1761757115000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983579227921252397","full_text":"Numbers","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,70],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983578903227589060","view_count":1233,"bookmark_count":0,"created_at":1761757038000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983578903227589060","full_text":"OpenAI has transitioned to a for profit. \n\nHow do you feel about this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983585693570892184","view_count":474075,"bookmark_count":737,"created_at":1761758657000,"favorite_count":2321,"quote_count":54,"reply_count":1,"retweet_count":185,"user_id_str":"1795781228399869952","conversation_id_str":"1983585693570892184","full_text":"Guys, Moore's law just became irrelevant. \n\n@BasedBeffJezos started out working on quantum computing and realized \"this is dumb there's a better way\" and then just launched a thermodynamic processor. \n\nIt's 10,000x more efficient at converting joules into tokens. \n\nThis means you'll be able to run AGI on your watch eventually. And it will likely just run on the ambient temperature gradient from your body. \n\nOf any technology we've yet seen, this has the potential to get us a stones throw away from the landauer limit. \n\nYOU ARE NOT EXCITED ENOUGH.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,91],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983585693570892184","quoted_status_permalink":{"url":"https://t.co/NVIGkOYSbI","expanded":"https://twitter.com/DaveShapi/status/1983585693570892184","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1983597765881164210","view_count":10080,"bookmark_count":15,"created_at":1761761535000,"favorite_count":163,"quote_count":1,"reply_count":0,"retweet_count":17,"user_id_str":"1795781228399869952","conversation_id_str":"1983597765881164210","full_text":"This is about as big of a paradigm shift as going from vacuum tubes to integrated circuits.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"Extropic_AI","indices":[31,43]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1764578792797085888","quoted_status_permalink":{"url":"https://t.co/JLM8q0Jo86","expanded":"https://twitter.com/GillVerd/status/1764578792797085888","display":"x.com/GillVerd/statu…"},"retweeted":false,"fact_check":null,"id":"1983610511502774541","view_count":43751,"bookmark_count":49,"created_at":1761764574000,"favorite_count":352,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1983610511502774541","full_text":"Okay it all makes sense now. \n\n@Extropic_AI's TSU doesn't perform floating point operations at all.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983598321408340270","quoted_status_permalink":{"url":"https://t.co/bp3wnCH3od","expanded":"https://twitter.com/Grimezsz/status/1983598321408340270","display":"x.com/Grimezsz/statu…"},"retweeted":false,"fact_check":null,"id":"1983619715676139842","view_count":6540,"bookmark_count":10,"created_at":1761766768000,"favorite_count":42,"quote_count":0,"reply_count":9,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983619715676139842","full_text":"So, I've been studying this for a while. \n\n\"Corporations have neither bodies to be punished, nor souls to be condemned.\"\n\nThey therefore do as they please. \n\nThis was said about the East India Company. \n\nThe technology, the good, or the service is immaterial to the ethics or behavior of a company. It's all about profit motive and what they can get away with. \n\nThat is not to say they are immoral. They are amoral. There's an important difference. \n\nCompanies want one thing: money. \n\nTherefore, their \"morality\" is based on dollars. What this means in practical terms is that all their decisions are based on a cost/benefit analysis.\n\nFor instance, if the financial punishment for a social transgression is less than the profit, they will simply eat the cost. \n\nIt has always been this way, and always will. \n\nBut it means that the solution is very simple: we just make the cost of transgressions high enough that investors balk at bad behavior. \n\nBut here's the thing; we don't even need to wait for an act of Congress. \n\nLook at Target. Their CEO recently resigned due in part to public revolt and boycotting. \n\nVote with your wallet. \n\nI'm not saying this is the only solution. 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":530,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. 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shift","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1984274427635249519","view_count":1096,"bookmark_count":0,"created_at":1761922864000,"favorite_count":9,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"This is not a dig at Sam for being status-seeking. \n\nAll humans are status seeking. \n\nLet's just stop kidding ourselves about that fact. \n\nThis post of his is an \"aww shucks\" attempt to cast himself in a better light because he cares 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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Even the ultra safe Claude had no problem with looking up someone from a LinkedIn screenshot. https://t.co/SHfZmFHYrl","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1984232769690464690","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":535,"startTime":1761955200000,"endTime":1762041600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984199668944023612","quoted_status_permalink":{"url":"https://t.co/sl8BZcsY1k","expanded":"https://twitter.com/kimmonismus/status/1984199668944023612","display":"x.com/kimmonismus/st…"},"retweeted":false,"fact_check":null,"id":"1984562719299645675","view_count":29369,"bookmark_count":116,"created_at":1761991598000,"favorite_count":349,"quote_count":11,"reply_count":0,"retweet_count":34,"user_id_str":"1795781228399869952","conversation_id_str":"1984562719299645675","full_text":"We're actually very lucky because of this trend. Not just at a civilizational level, but as a species. \n\nIn the Dark Timeline, AI was so arcane and expensive that literally ONLY a Manhattan 2.0 could crack the code, which would have meant that, by default, it was a closely guarded secret kept by nation states, weaponized, and deployed for dominance. \n\nBut in reality, AI is a lot more like electricity - easily understood, easily reproduced, and naturally moatless. \n\nThat means it is intrinsically democratic, but not only is it democratic in nature, it is inherently democratizing as well. It levels the intellectual playing field. Now an individual can be just as smart as everyone on Wall Street, every politician, every think tank, and every university. \n\nThe internet destroyed communication gatekeeping (and we're still learning to live with that). Before the internet, it was newspapers, radio, and cable networks. The world \"felt\" less chaotic because it was more curated. Now we have the unvarnished messiness of humanity on drip feed. \n\nArtificially intelligence will utterly destroy intellectual gatekeeping. Medical opinions? Science? News? Political interpretations? AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 2.0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,85],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984417681102291299","quoted_status_permalink":{"url":"https://t.co/AdblVzfl6k","expanded":"https://twitter.com/daltonc/status/1984417681102291299","display":"x.com/daltonc/status…"},"retweeted":false,"fact_check":null,"id":"1984572221524725916","view_count":1281,"bookmark_count":4,"created_at":1761993863000,"favorite_count":17,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984572221524725916","full_text":"First order: more AI\n\nSecond order: job disruption\n\nThird order: Post-labor economics","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984572047788286455","view_count":1340,"bookmark_count":9,"created_at":1761993822000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984572047788286455","full_text":"Renaissance 2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? AI Red Pills?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984666500435705872","view_count":1517,"bookmark_count":3,"created_at":1762016341000,"favorite_count":18,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984666500435705872","full_text":"One of the problems with mass social media is that whatever your views, beliefs, or ideologies are (no matter how off the wall) you can find people who agree with you. \n\nAnd then those views and values can concentrated, refined, and amplified. \n\nPeople might then mistake that with reality. As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND 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is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":2476,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be on the cutting edge, X is where to be. \n\nOff the cuff thoughts from all kinds of people.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,195],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986133103127994586","view_count":5187,"bookmark_count":5,"created_at":1762366007000,"favorite_count":124,"quote_count":1,"reply_count":1,"retweet_count":7,"user_id_str":"1795781228399869952","conversation_id_str":"1986133103127994586","full_text":"A whole lotta sci-fi is gonna seem real quaint and obsolete. \n\n- old people and aging\n- evil AI and robots\n\nThose simply won't exist in the future\n\nBut FTL I think, will also be a forever 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":329,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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Killed the personality, so the UX suffered across the board\n\n2. Poo-pooed on writing ability because who cares about clarity, prose, when you can just autistically code?\n\n3. Doubled down on creating a \"digital human replica\" hence the abysmal performance on medical issues (it just parrots what you can find on the FDA website and other establishment institutions without thinking for itself)\n\nAll in the pursuit of becoming more palatable for enterprises. While simultaneously gutting their golden goose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989468662085161201","quoted_status_permalink":{"url":"https://t.co/64miLi7yKc","expanded":"https://twitter.com/daniel_mac8/status/1989468662085161201","display":"x.com/daniel_mac8/st…"},"retweeted":false,"fact_check":null,"id":"1989681866773786841","view_count":11953,"bookmark_count":7,"created_at":1763212098000,"favorite_count":69,"quote_count":0,"reply_count":1,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1989681866773786841","full_text":"Personally, I haven't noticed much difference with 5.1\n\nIt still makes catastrophically stupid choices with routing and tool use, which in some cases renders it totally useless. \n\nIt's a very low bar today, to be able to, you know, read documents without resorting to trying to parse them with Python. 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fam\n\n(Cheesesteak was winning when I got hungry) https://t.co/hfJHeCoN51","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989193813043069219","quoted_status_permalink":{"url":"https://t.co/eco47F5jFr","expanded":"https://twitter.com/sama/status/1989193813043069219","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1989817149834346843","view_count":898,"bookmark_count":1,"created_at":1763244352000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989817149834346843","full_text":"Yay good job team \n\nLowering the bar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,115],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989059233745137757","quoted_status_permalink":{"url":"https://t.co/xLwZJT3mfj","expanded":"https://twitter.com/0xQuasark/status/1989059233745137757","display":"x.com/0xQuasark/stat…"},"retweeted":false,"fact_check":null,"id":"1989486853276270627","view_count":7656,"bookmark_count":5,"created_at":1763165603000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989486853276270627","full_text":"I find these points compelling and worth considering. \n\nOn the one hand, awareness. \n\nOn the other hand, 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people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high 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folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals 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I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":213635,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. People don't even know what's available *today* let alone *what's coming.* \n\nThe next thing is a fetish for labor. Due to Calvinism and the Protestant work ethic, we've had several centuries of drudgery being elevated to holiness. The grind is sacrosanct. The hustle is a sign of virtue and righteousness, and anything else is sinful, lazy, and shameful. \n\nThird is a failure of imagination. It's difficult to fully wrap your head around the civilizational operating system that we're building. It started with computers, then the internet, and now AI and robotics. We're building the \"fully automated luxury space communism\" primitives as we speak. But due to normalcy bias and other cognitive failures rooted in our evolution, most people cannot read the writing on the wall. \n\nSo that's my work. I'm focusing on getting us across that finish line, but here's the silver lining - I only need to get to about 10% of the population before beliefs change. Then about 25% of the population before social norms change. And, like I said, this wave is coming whether or not people or ready, and weather or not I do anything. I'm just helping prepare the way. \n\nBut there will be much resistance. Myopic people are already viewing AI as a left-vs-right political problem, not humanity's most important project. Others are focused on slop and copyright, not the total liberation of humanity from drudgery. And yet others look at this technology and think it spells doom rather than abundance. \n\nOur species' emotional and epistemic immune systems are fully online. 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cloud infrastructure explaining to VPs that they didn't pay to do two-hot redundancy on business critical apps and it's literally not possible to stand up an entirely new production instance from scratch in 2 hours, that even getting firewall approvals will take at least a week or a full change management cycle.\n\nBeen 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Pro?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,262],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981371085598970358","quoted_status_permalink":{"url":"https://t.co/sC93lU6d8n","expanded":"https://twitter.com/DaveShapi/status/1981371085598970358","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1981371372828819755","view_count":3876,"bookmark_count":5,"created_at":1761230722000,"favorite_count":40,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1981371372828819755","full_text":"The new red pill vs blue pill argument. \n\nRED PILL: AI and robots are very obviously going to refactor economics and jobs, and liberate humanity from the drudgery of wage slavery\n\nBLUE PILL: \"AI bros just want to destroy tradition and leave everyone else 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":6299,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on that.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,62],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981432376371626193","quoted_status_permalink":{"url":"https://t.co/43euS6GEqo","expanded":"https://twitter.com/laurenbalik/status/1981432376371626193","display":"x.com/laurenbalik/st…"},"retweeted":false,"fact_check":null,"id":"1981692206244372497","view_count":667,"bookmark_count":0,"created_at":1761307214000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981692206244372497","full_text":"I dunno this looks a lot like the pot calling the kettle black","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/SVjmwG4RM0","expanded_url":"https://x.com/DaveShapi/status/1981800650515284277/photo/1","ext_alt_text":"That Is Exactly What It Means Freddie Benson 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are 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On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to avoid.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"in","quoted_status_id_str":"1982922186517299418","quoted_status_permalink":{"url":"https://t.co/3RXZfidqAB","expanded":"https://twitter.com/RinoTheBouncer/status/1982922186517299418","display":"x.com/RinoTheBouncer…"},"retweeted":false,"fact_check":null,"id":"1983176221883347294","view_count":1466,"bookmark_count":0,"created_at":1761661031000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983176221883347294","full_text":"Cyberpunk 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philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have seen this since GPT-3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,69],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983535994415820995","quoted_status_permalink":{"url":"https://t.co/D95PtacJ94","expanded":"https://twitter.com/DeryaTR_/status/1983535994415820995","display":"x.com/DeryaTR_/statu…"},"retweeted":false,"fact_check":null,"id":"1983577458696769866","view_count":2839,"bookmark_count":2,"created_at":1761756693000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983577458696769866","full_text":"One need only look at history to see this. \n\nTechnology is a win-win.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1983574241199989098","view_count":2955,"bookmark_count":2,"created_at":1761755926000,"favorite_count":44,"quote_count":2,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1983574241199989098","full_text":"ICE is behaving like the gestapo. \n\nEveryone sees this. \n\nIt's very clear that Trump is trying to start a race war, or something like that. \n\nThe difference is that more Americans care about Constitutional rights than trying to appoint a king. \n\nAlso, consider that the majority of social media accounts that are pushing for ICE and cheering them on are Russian bots.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[9,18]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983581354856939770","view_count":2893,"bookmark_count":0,"created_at":1761757622000,"favorite_count":64,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1983581354856939770","full_text":"Congrats @GillVerd on the breakthrough on tokens/joule","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983524820173410485","quoted_status_permalink":{"url":"https://t.co/KQO6Mczv69","expanded":"https://twitter.com/chamath/status/1983524820173410485","display":"x.com/chamath/status…"},"retweeted":false,"fact_check":null,"id":"1983580874575593959","view_count":13931,"bookmark_count":32,"created_at":1761757508000,"favorite_count":118,"quote_count":3,"reply_count":14,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1983580874575593959","full_text":"The biggest problem right now is the Overton window is too closed. \n\nReality is biting. \n\nPeople feel it. \n\nSome people are in denial. \n\nSome people are screaming at the wrong things. \n\nEveryone is trying to capitalize on it. \n\nBut politicians and CEOs aren't yet allowed to have frank, honest, candid conversations about the impact of AI. \n\nJoin me. \n\nTake the AI red pill and wake up to reality. \n\nThe AI blue pill is for deniers, skeptics, doomers, and all other charlatans.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,98],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579587649904960","quoted_status_permalink":{"url":"https://t.co/kZ0OmA6uyu","expanded":"https://twitter.com/Extropic_AI/status/1983579587649904960","display":"x.com/Extropic_AI/st…"},"retweeted":false,"fact_check":null,"id":"1983580079587225668","view_count":13821,"bookmark_count":37,"created_at":1761757318000,"favorite_count":360,"quote_count":2,"reply_count":0,"retweet_count":26,"user_id_str":"1795781228399869952","conversation_id_str":"1983580079587225668","full_text":"You know how people are hyped about software scaling laws? \n\nThis could be much, much, much bigger","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579084081787175","quoted_status_permalink":{"url":"https://t.co/OxLdkBcGdG","expanded":"https://twitter.com/Sathos__voice/status/1983579084081787175","display":"x.com/Sathos__voice/…"},"retweeted":false,"fact_check":null,"id":"1983579227921252397","view_count":1655,"bookmark_count":0,"created_at":1761757115000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983579227921252397","full_text":"Numbers","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,70],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983578903227589060","view_count":1233,"bookmark_count":0,"created_at":1761757038000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983578903227589060","full_text":"OpenAI has transitioned to a for profit. \n\nHow do you feel about this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983585693570892184","view_count":474075,"bookmark_count":737,"created_at":1761758657000,"favorite_count":2321,"quote_count":54,"reply_count":1,"retweet_count":185,"user_id_str":"1795781228399869952","conversation_id_str":"1983585693570892184","full_text":"Guys, Moore's law just became irrelevant. \n\n@BasedBeffJezos started out working on quantum computing and realized \"this is dumb there's a better way\" and then just launched a thermodynamic processor. \n\nIt's 10,000x more efficient at converting joules into tokens. \n\nThis means you'll be able to run AGI on your watch eventually. And it will likely just run on the ambient temperature gradient from your body. \n\nOf any technology we've yet seen, this has the potential to get us a stones throw away from the landauer limit. \n\nYOU ARE NOT EXCITED ENOUGH.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,91],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983585693570892184","quoted_status_permalink":{"url":"https://t.co/NVIGkOYSbI","expanded":"https://twitter.com/DaveShapi/status/1983585693570892184","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1983597765881164210","view_count":10080,"bookmark_count":15,"created_at":1761761535000,"favorite_count":163,"quote_count":1,"reply_count":0,"retweet_count":17,"user_id_str":"1795781228399869952","conversation_id_str":"1983597765881164210","full_text":"This is about as big of a paradigm shift as going from vacuum tubes to integrated circuits.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"Extropic_AI","indices":[31,43]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1764578792797085888","quoted_status_permalink":{"url":"https://t.co/JLM8q0Jo86","expanded":"https://twitter.com/GillVerd/status/1764578792797085888","display":"x.com/GillVerd/statu…"},"retweeted":false,"fact_check":null,"id":"1983610511502774541","view_count":43751,"bookmark_count":49,"created_at":1761764574000,"favorite_count":352,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1983610511502774541","full_text":"Okay it all makes sense now. \n\n@Extropic_AI's TSU doesn't perform floating point operations at all.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983598321408340270","quoted_status_permalink":{"url":"https://t.co/bp3wnCH3od","expanded":"https://twitter.com/Grimezsz/status/1983598321408340270","display":"x.com/Grimezsz/statu…"},"retweeted":false,"fact_check":null,"id":"1983619715676139842","view_count":6540,"bookmark_count":10,"created_at":1761766768000,"favorite_count":42,"quote_count":0,"reply_count":9,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983619715676139842","full_text":"So, I've been studying this for a while. \n\n\"Corporations have neither bodies to be punished, nor souls to be condemned.\"\n\nThey therefore do as they please. \n\nThis was said about the East India Company. \n\nThe technology, the good, or the service is immaterial to the ethics or behavior of a company. It's all about profit motive and what they can get away with. \n\nThat is not to say they are immoral. They are amoral. There's an important difference. \n\nCompanies want one thing: money. \n\nTherefore, their \"morality\" is based on dollars. What this means in practical terms is that all their decisions are based on a cost/benefit analysis.\n\nFor instance, if the financial punishment for a social transgression is less than the profit, they will simply eat the cost. \n\nIt has always been this way, and always will. \n\nBut it means that the solution is very simple: we just make the cost of transgressions high enough that investors balk at bad behavior. \n\nBut here's the thing; we don't even need to wait for an act of Congress. \n\nLook at Target. Their CEO recently resigned due in part to public revolt and boycotting. \n\nVote with your wallet. \n\nI'm not saying this is the only solution. 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":66209,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. 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shift","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1984274427635249519","view_count":1096,"bookmark_count":0,"created_at":1761922864000,"favorite_count":9,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"This is not a dig at Sam for being status-seeking. \n\nAll humans are status seeking. \n\nLet's just stop kidding ourselves about that fact. \n\nThis post of his is an \"aww shucks\" attempt to cast himself in a better light because he cares 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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Even the ultra safe Claude had no problem with looking up someone from a LinkedIn screenshot. https://t.co/SHfZmFHYrl","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1984232769690464690","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":49486,"startTime":1761955200000,"endTime":1762041600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984199668944023612","quoted_status_permalink":{"url":"https://t.co/sl8BZcsY1k","expanded":"https://twitter.com/kimmonismus/status/1984199668944023612","display":"x.com/kimmonismus/st…"},"retweeted":false,"fact_check":null,"id":"1984562719299645675","view_count":29369,"bookmark_count":116,"created_at":1761991598000,"favorite_count":349,"quote_count":11,"reply_count":0,"retweet_count":34,"user_id_str":"1795781228399869952","conversation_id_str":"1984562719299645675","full_text":"We're actually very lucky because of this trend. Not just at a civilizational level, but as a species. \n\nIn the Dark Timeline, AI was so arcane and expensive that literally ONLY a Manhattan 2.0 could crack the code, which would have meant that, by default, it was a closely guarded secret kept by nation states, weaponized, and deployed for dominance. \n\nBut in reality, AI is a lot more like electricity - easily understood, easily reproduced, and naturally moatless. \n\nThat means it is intrinsically democratic, but not only is it democratic in nature, it is inherently democratizing as well. It levels the intellectual playing field. Now an individual can be just as smart as everyone on Wall Street, every politician, every think tank, and every university. \n\nThe internet destroyed communication gatekeeping (and we're still learning to live with that). Before the internet, it was newspapers, radio, and cable networks. The world \"felt\" less chaotic because it was more curated. Now we have the unvarnished messiness of humanity on drip feed. \n\nArtificially intelligence will utterly destroy intellectual gatekeeping. Medical opinions? Science? News? Political interpretations? AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 2.0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,85],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984417681102291299","quoted_status_permalink":{"url":"https://t.co/AdblVzfl6k","expanded":"https://twitter.com/daltonc/status/1984417681102291299","display":"x.com/daltonc/status…"},"retweeted":false,"fact_check":null,"id":"1984572221524725916","view_count":1281,"bookmark_count":4,"created_at":1761993863000,"favorite_count":17,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984572221524725916","full_text":"First order: more AI\n\nSecond order: job disruption\n\nThird order: Post-labor economics","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984572047788286455","view_count":1340,"bookmark_count":9,"created_at":1761993822000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984572047788286455","full_text":"Renaissance 2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? AI Red Pills?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984666500435705872","view_count":1517,"bookmark_count":3,"created_at":1762016341000,"favorite_count":18,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984666500435705872","full_text":"One of the problems with mass social media is that whatever your views, beliefs, or ideologies are (no matter how off the wall) you can find people who agree with you. \n\nAnd then those views and values can concentrated, refined, and amplified. \n\nPeople might then mistake that with reality. As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND entropy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,30],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/0k1FDM2ew8","expanded_url":"https://x.com/DaveShapi/status/1985398071602139319/photo/1","id_str":"1985398039456944128","indices":[31,54],"media_key":"3_1985398039456944128","media_url_https":"https://pbs.twimg.com/media/G42M_2-WkAAlj32.png","type":"photo","url":"https://t.co/0k1FDM2ew8","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":918,"w":891,"resize":"fit"},"medium":{"h":918,"w":891,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":918,"width":891,"focus_rects":[{"x":0,"y":323,"w":891,"h":499},{"x":0,"y":27,"w":891,"h":891},{"x":0,"y":0,"w":805,"h":918},{"x":68,"y":0,"w":459,"h":918},{"x":0,"y":0,"w":891,"h":918}]},"media_results":{"result":{"media_key":"3_1985398039456944128"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/0k1FDM2ew8","expanded_url":"https://x.com/DaveShapi/status/1985398071602139319/photo/1","id_str":"1985398039456944128","indices":[31,54],"media_key":"3_1985398039456944128","media_url_https":"https://pbs.twimg.com/media/G42M_2-WkAAlj32.png","type":"photo","url":"https://t.co/0k1FDM2ew8","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":918,"w":891,"resize":"fit"},"medium":{"h":918,"w":891,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":918,"width":891,"focus_rects":[{"x":0,"y":323,"w":891,"h":499},{"x":0,"y":27,"w":891,"h":891},{"x":0,"y":0,"w":805,"h":918},{"x":68,"y":0,"w":459,"h":918},{"x":0,"y":0,"w":891,"h":918}]},"media_results":{"result":{"media_key":"3_1985398039456944128"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985398071602139319","view_count":15804,"bookmark_count":75,"created_at":1762190761000,"favorite_count":238,"quote_count":5,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1985398071602139319","full_text":"This is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":267466,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be on the cutting edge, X is where to be. \n\nOff the cuff thoughts from all kinds of people.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,195],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986133103127994586","view_count":5187,"bookmark_count":5,"created_at":1762366007000,"favorite_count":124,"quote_count":1,"reply_count":1,"retweet_count":7,"user_id_str":"1795781228399869952","conversation_id_str":"1986133103127994586","full_text":"A whole lotta sci-fi is gonna seem real quaint and obsolete. \n\n- old people and aging\n- evil AI and robots\n\nThose simply won't exist in the future\n\nBut FTL I think, will also be a forever 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":39458,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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Their dedication to making code accessible and practical sets them apart in the tech community.","strength":"Exceptional ability to create and lead high-quality, community-backed open-source projects that solve real-world problems. Strong communication skills allow them to engage a broad audience while maintaining technical depth.","weakness":"Sometimes struggles with documentation polish and smoothing out rough edges, possibly due to a relentless focus on development over presentation. The heavy tweeting frequency might also dilute the impact of individual posts.","recommendation":"To grow their audience on X, SkalskiP should leverage threading of deep-dive technical explanations combined with approachable storytelling to educate and entertain simultaneously. Engaging more directly with followers through Q&A sessions or mini-tutorials can also boost follower loyalty and visibility.","roast":"SkalskiP’s dedication to tweeting code updates is so prolific that if enthusiasm burned calories, they’d power a small country by now—but maybe throw us mere mortals a glossary sometime; not everyone speaks fluent AI in 280 characters.","win":"Leading the supervision computer vision library to surpass 20,000 stars on GitHub with over 3,500 commits and 80+ contributors is a testament to their extraordinary community-building and technological leadership."},"created":1763279341677,"type":"the innovator","id":"skalskip92"},{"user":{"id":"1647904560462065664","name":"Horizon Strategy","description":"Go-to for Web3, SaaS & tech: driving growth, building impactful communities, leading partnerships & content strategy for founders&teams. 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Always ready to engage, their open DMs show a genuine commitment to collaboration and innovation.","purpose":"To accelerate the adoption and evolution of decentralized technologies by empowering founders and teams with strategic growth and community-building tools that create lasting impact.","beliefs":"They believe in the power of technology to preserve knowledge forever, prevent repeated historical mistakes, and push humanity towards a decentralized, autonomous future. Trust, transparency, and the continuous evolution of tech ecosystems are at the core of their values.","facts":"Fun fact: Horizon Strategy’s AO agents literally work harder than they do—running autonomous code on the Permaweb 24/7 while they get some well-deserved rest!","strength":"Their biggest strengths lie in deep technical knowledge, consistent high-frequency engagement, and the ability to communicate complex innovations in an accessible and compelling way that galvanizes community involvement.","weakness":"Occasionally, their high tweet volume and tech-heavy content may overwhelm newcomers or casual followers, potentially narrowing their audience to only the most engaged niche members.","recommendation":"To grow their audience on X, Horizon Strategy should blend their insightful tech content with more relatable storytelling or simplified explainers. Engaging more through creative polls, casual AMAs, and highlighting user success stories can attract and retain a broader, more diverse following.","roast":"For someone whose AO agents work harder than they do, Horizon might want to check their agents’ union contract—because clearly, those bots are doing all the heavy lifting while they catch some Z’s! Just don’t let your followers start wondering if you’re just the voice for a clever AI collective.","win":"Successfully leading community-driven adoption and hands-on open beta testing of cutting-edge decentralized computing projects like HyperBEAM and the AO agents on the Permaweb."},"created":1763274358763,"type":"the innovator","id":"horizonxbt"},{"user":{"id":"1945743955519262720","name":"Zero 💾","description":"Programmer, former lobbyist, polyglot 🇺🇸🇫🇷/🇱🇻🇷🇺","followers_count":94,"friends_count":543,"statuses_count":583,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1945812901664559104/GIcxN1v__normal.jpg","screen_name":"zerocaulk","location":"DC/NYC","entities":{"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"Zero 💾 is a tech-savvy programmer with a rich background spanning lobbying and polyglot fluency, effortlessly blending political insight with cutting-edge coding expertise. Passionate about AI and development tools, Zero dives deep into preserving the 'why' behind code and embraces evolving workflows. Their playful yet informed commentary makes them a dynamic voice in the tech community.","purpose":"To pioneer smarter, intention-driven AI tools that enhance how developers create and collaborate, bridging the gap between code functionality and meaningful purpose.","beliefs":"Zero believes in transparency, the importance of preserving developer intent, and the power of embracing new technologies to improve workflows. They value clarity over hype and are skeptical of surface-level solutions without depth.","facts":"Fun fact: Zero’s unique mix of experience as a former lobbyist and programmer gives them a rare perspective on how tech influences policy and culture—making their insights both technically sharp and socially conscious.","strength":"Strong analytical mindset combined with a deep understanding of AI coding tools and workflows, plus multilingual communication skills to engage diverse audiences.","weakness":"Sometimes their highly technical or niche content might fly under the radar for a broader audience, and their retweet-heavy posting style could overshadow their original insights.","recommendation":"To grow their audience on X, Zero should mix more original micro-blogging insights that simplify complex AI coding concepts along with engaging storytelling about their polyglot and lobbying background. Engaging in tech talk threads and hosting AMA-style sessions could also boost their visibility.","roast":"For someone who's supposed to preserve the 'why' behind code, you sure seem to let your original tweets slip into stealth mode—0 likes on viral retweets? Zero’s content might be more mysterious than his username suggests!","win":"Zero’s early adoption and endorsement of the SpecStory AI tool for preserving developer intent highlight their forward-thinking nature and position them as a key voice in the emerging AI-IDE ecosystem."},"created":1763272942357,"type":"the innovator","id":"zerocaulk"},{"user":{"id":"4777178959","name":"Cczzc","description":"web3开发者,币圈老兵,老韭菜,\n套利新手 师承 @zhamomo666\ngithub开源地址:\nhttps://t.co/geyRzXeNdU\n欢迎合作关注私聊tg:Connor_DJ","followers_count":2127,"friends_count":386,"statuses_count":1843,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1631687839774838785/8Y5nD-0n_normal.jpg","screen_name":"cczzc_eth","location":"","entities":{"description":{"urls":[{"display_url":"github.com/Zack995","expanded_url":"https://github.com/Zack995","url":"https://t.co/geyRzXeNdU","indices":[51,74]}]}}},"details":{"type":"The Innovator","description":"Cczzc is a seasoned web3 developer and crypto veteran who blends deep technical know-how with a pioneering spirit. Always experimenting with new arbitrage strategies and open-source solutions, they are driven by the thrill of innovation in the blockchain space. Their candid updates and hands-on approach make them a relatable insider navigating the volatile crypto seas.","facts":"Fun fact: Cczzc likens their crypto experience to being an \"old leek\" — a humorous way to say they've been through many market cycles and learned hard lessons along the way. Plus, they openly admit they can’t code front-end but are still launching a web platform for the community!","purpose":"To empower and share innovative tools and strategies within the crypto community, helping others navigate and profit from the complex web3 ecosystem while advancing open-source development.","beliefs":"Believes in transparency, collaboration, and continuous learning, valuing community feedback and open-source sharing as essential to progress in the decentralized world.","strength":"Technical expertise in web3 development combined with practical trading experience, plus a willingness to experiment and openly share profits and strategies with followers.","weakness":"Occasionally overwhelmed by the flood of direct messages and the challenges of front-end development, which could slow project rollout and audience engagement.","recommendation":"Leverage their technical credibility by sharing bite-sized developer tips, live arbitrage breakdowns, and short videos demystifying complex crypto topics to build trust. Engaging more in conversations through replies can transform followers into a loyal community, boosting reach on X.","roast":"Cczzc’s so deep in crypto, they probably dream in smart contracts — and wake up confused because their front-end code still looks like hieroglyphs. At least their servers may run smoother than their social life!","win":"Successfully maintaining an active open-source project on GitHub while generating a sustainable annualized return of about 150% through arbitrage strategies in a tough crypto market."},"created":1763271194928,"type":"the innovator","id":"cczzc_eth"},{"user":{"id":"784063682074533888","name":"crypdough.ethᵍᵐ🦇🔊X 🏴🦀","description":"CTO @give_pact | Rustacean in Chief @developer_dao @futexlabs | PBA 5 Graduate | Fellow @Ethereum | CEO @htmx_org | ✍️ https://t.co/oi3LFFmKNt","followers_count":1703,"friends_count":2718,"statuses_count":3336,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1718717954022400000/JpjEDk-Y_normal.jpg","screen_name":"crypdoughdoteth","location":"VC5","entities":{"description":{"urls":[{"display_url":"mirror.xyz/crypdough.eth","expanded_url":"http://mirror.xyz/crypdough.eth","url":"https://t.co/oi3LFFmKNt","indices":[119,142]}]},"url":{"urls":[{"display_url":"cloud.developerdao.com","expanded_url":"http://cloud.developerdao.com","url":"https://t.co/NMJgB4FWgi","indices":[0,23]}]}}},"details":{"type":"The Innovator","description":"Crypdough.ethᵍᵐ🦇🔊X 🏴🦀 is a pioneering tech leader and developer evangelist passionately pushing the boundaries of blockchain and Rust ecosystems. As CTO of Give Pact and CEO of htmx_org, they thrive on creating cutting-edge tools for onchain philanthropy and developer experience. Their active engagement in developer communities and continuous sharing makes them a beacon of innovation in decentralized tech.","purpose":"Their life purpose revolves around empowering developers and advancing blockchain technology by fostering open innovation, building impactful tools, and inspiring the next generation of creators to embrace Rust and decentralized applications.","beliefs":"They deeply believe in the power of community-driven development, open-source collaboration, and leveraging technology for social good, especially through onchain philanthropy and decentralized frameworks. They hold that continuous learning and sharing knowledge is key to progress.","facts":"Fun fact: Crypdough.eth is not only a Rustacean in Chief at Developer DAO but also was instrumental in building the Givepact API — a milestone for onchain philanthropy that welcomes creative dApp integrations.","strength":"Their greatest strength is their visionary leadership combined with hands-on expertise in Rust and blockchain tech, allowing them to build high-impact developer tools while actively engaging and inspiring a technical community.","weakness":"Their intense focus on technical depth and numerous leadership roles might limit time for broader audience engagement or diverse content that appeals beyond fellow developers, potentially narrowing their follower growth.","roast":"Crypdough.eth builds groundbreaking Rust APIs faster than they can finish a tweet — maybe if they spent as much time tweeting as coding, their follower count would finally catch up with their commit count!","win":"Successfully launching the Givepact API, a groundbreaking tool that enhances onchain philanthropy and demonstrates Rust's power in decentralized application development, stands out as their biggest achievement.","recommendation":"To grow their audience on X, Crypdough.eth should blend their deep technical content with more frequent, engaging storytelling and developer success highlights. Live coding sessions, simplified explainers, and interactive Q&As will humanize their brand and draw in both technical and aspiring developer communities."},"created":1763270889846,"type":"the innovator","id":"crypdoughdoteth"},{"user":{"id":"1895613028734844928","name":"Faisal Shariff","description":"Building AI apps. OpenAI hackathon winner. Writing ‘The Atomic Builder’ for PMs navigating AI. Helping companies adopt AI. 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His passion for continuous learning and helping companies embrace AI is as strong as his commitment to personal wellness and diverse interests.","purpose":"To empower product managers and companies to seamlessly navigate and adopt AI technology, transforming innovative ideas into impactful, user-friendly applications.","beliefs":"Faisal believes in the transformative power of AI when combined with thoughtful product management. He values persistence, hands-on problem-solving, and the sharing of knowledge to uplift the tech community. Balance in life, shown by his interests in meditation, martial arts, and sports, also speaks to his holistic approach to growth and success.","facts":"Fun fact: Despite being deeply technical and immersed in AI, Faisal maintains a disciplined and well-rounded lifestyle, including meditation, karate, tennis, and weightlifting, proving that even innovators can Zen out and break a sweat.","strength":"Faisal excels at hands-on innovation and problem-solving, demonstrated by his hackathon success and steady progress updates. His ability to translate complex AI concepts into accessible content for product managers highlights his communication skills and leadership in the AI space.","weakness":"His candid admission of struggling with integration setups points to a possible tendency to hit technical roadblocks that temporarily slow progress. Additionally, his relatively modest tweet engagement and lack of public follower count suggest an opportunity to boost audience connectivity and visibility.","roast":"For someone who’s building atomic AI apps, Faisal’s masterful struggle with authorization setups makes you wonder if his codebase secretly moonlights as a Rubik’s Cube — always twisty, slightly perplexing, but eventually solved with enough persistence (and maybe pizza).","win":"Winning the OpenAI hackathon stands as Faisal’s crowning achievement, a testament to his skill, creativity, and drive within the highly competitive AI development space.","recommendation":"To grow his audience on X, Faisal should leverage his unique position as an AI innovator and educator by sharing more behind-the-scenes hackathon stories, detailed problem-solving threads, and interactive Q&As focusing on AI adoption challenges. Amplifying his personal voice and wellness lifestyle can also humanize his tech persona, engaging a broader community."},"created":1763269338647,"type":"the innovator","id":"faisalxshariff"},{"user":{"id":"735917496532897792","name":"Thoughtogram","description":"Thoughtogram is a life organization tool for desktop","followers_count":775,"friends_count":2290,"statuses_count":630,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1963912461335011328/lSMNLT2a_normal.jpg","screen_name":"Thoughtogram","location":"England","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"Thoughtogram.com","expanded_url":"https://www.Thoughtogram.com","url":"https://t.co/UQnrHFueIz","indices":[0,23]}]}}},"details":{"type":"The Innovator","description":"Thoughtogram is an inventive life organization tool that merges creativity with productivity, offering users a versatile digital workspace. This profile showcases an eagerness to evolve how we manage tasks and ideas with visually driven features and continuous development. With a steady stream of informative tweets, Thoughtogram positions itself as a forward-thinker in the productivity app space.","purpose":"To revolutionize personal productivity by providing a multifunctional, user-friendly platform that adapts to individual organizational styles and needs.","beliefs":"Believes in the power of innovation and technology to simplify complex tasks, values flexibility, creativity, and user empowerment in managing daily life and ideas.","facts":"Fun fact: Thoughtogram isn’t just about to-do lists – it’s also a mini visual board wiki, a mind mapping tool, and even supports brainstorming and diagram making all in one desktop app.","strength":"Strong ability to innovate and combine multiple productivity tools into a single, cohesive platform that appeals to diverse user needs.","weakness":"May spread efforts thin by trying to do too many things at once, potentially overwhelming users who prefer streamlined simplicity.","recommendation":"Focus on showcasing clear, relatable use cases on X that highlight how Thoughtogram can solve specific user problems, engage with its audience through polls or feedback threads to foster community, and create short demo clips or visuals to boost tweet engagement.","roast":"For someone who wants to organize everything, Thoughtogram sure tweets like it’s organizing a chaotic party — lots going on, but no one quite sure where to stand or what’s happening next.","win":"Successfully generated high visibility and consistent engagement with a niche audience by cleverly positioning a multifunctional productivity tool that resonates with modern-day digital organization challenges."},"created":1763268541140,"type":"the innovator","id":"thoughtogram"},{"user":{"id":"2406291805","name":"Dante","description":"一只全栈程序猿.百度阿里8年从业.\n目前作品有:SmartSearch https://t.co/z8vEmeDypr,\n智能阅读助手 https://t.co/vajRRm4tHo, 智阅app,\n中小学生作文学习平台: https://t.co/F692wqGXyC\n神笔求职帮: https://t.co/ZRvUibjeva","followers_count":124,"friends_count":14,"statuses_count":898,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1687140973980327936/QjNDZOPe_normal.jpg","screen_name":"Dante_Chaser","location":"","entities":{"description":{"urls":[{"display_url":"ss.zhangjh.cn","expanded_url":"https://ss.zhangjh.cn","url":"https://t.co/z8vEmeDypr","indices":[37,60]},{"display_url":"iread.chat","expanded_url":"https://iread.chat","url":"https://t.co/vajRRm4tHo","indices":[69,92]},{"display_url":"shenbi.tech","expanded_url":"https://shenbi.tech","url":"https://t.co/F692wqGXyC","indices":[113,136]},{"display_url":"job.shenbi.tech","expanded_url":"https://job.shenbi.tech","url":"https://t.co/ZRvUibjeva","indices":[144,167]}]}}},"details":{"type":"The Innovator","description":"Dante is a seasoned full-stack programmer with 8 years of rich experience at Baidu and Alibaba, passionately crafting cutting-edge AI-driven tools that enhance reading and learning experiences. Always hands-on, he merges technical prowess with creativity to deliver projects like SmartSearch and intelligent reading assistants that redefine user interaction. His tweets showcase not only his deep technical insights but also a down-to-earth humor that brings his innovations closer to everyday users.","purpose":"To revolutionize how people interact with information and learning through innovative AI solutions, making complex technology accessible and useful for diverse users, especially students and knowledge seekers.","beliefs":"Dante believes in the power of technology to democratize knowledge and empower individuals through intelligent automation. He values practical innovation, transparency, and continuous self-improvement, fostering an environment where creativity and functionality thrive hand in hand.","facts":"Fun fact: Despite creating highly sophisticated AI tools capable of multi-functional tasks like book searching, content summarization, and interactive Q&A, Dante humorously admits to the classic programmer's mishap of forgetting to push his weekend project code!","strength":"Exceptional technical expertise in full-stack development and AI integration, combined with hands-on experience from top tech giants; strong problem-solving skills with the ability to independently build practical, user-focused solutions.","weakness":"Tendency to self-deprecate or reveal behind-the-scenes blunders in public, which while relatable, might sometimes undercut the perceived professionalism or commercial appeal of his projects.","recommendation":"To grow his audience on X, Dante should leverage his technical authority by sharing more behind-the-scenes insights and tutorials on AI tool development, paired with storytelling to humanize the tech. Engaging regularly in relevant tech and education communities through thoughtful replies and collaborations can boost visibility and follower engagement.","roast":"Dante’s code might be so smart it almost forgets to push itself to GitHub — proving even AI geniuses aren't immune to the dreaded weekend slip-up syndrome!","win":"Successfully developed and launched multiple impactful AI-powered products including SmartSearch and the intelligent reading assistant, showcasing his ability to translate complex AI concepts into accessible and practical tools."},"created":1763261668208,"type":"the innovator","id":"dante_chaser"},{"user":{"id":"1436208844070293506","name":"Rohit","description":"building a soft skills app. sharing tips on speaking effectively. exploring AI x crypto.\n\n→ beta https://t.co/fCzy20K3Q8\n→ dev & growth @arweaveindia\n\nopensourcerer 🧙🏼♂️","followers_count":1252,"friends_count":916,"statuses_count":3213,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1891015540920963072/MS4qFnoW_normal.jpg","screen_name":"ropats16","location":"always online 🌐","entities":{"description":{"urls":[{"display_url":"reccite.com","expanded_url":"http://reccite.com","url":"https://t.co/fCzy20K3Q8","indices":[97,120]}]},"url":{"urls":[{"display_url":"reccite.com","expanded_url":"https://reccite.com/","url":"https://t.co/Zjq0upT56a","indices":[0,23]}]}}},"details":{"type":"The Innovator","description":"Rohit is a dynamic creator building a soft skills app while passionately sharing effective communication tips. He thrives at the exciting intersection of AI and crypto, actively fostering community growth with @arweaveindia. His energetic engagement and love for open-source magic make him a powerful force in tech innovation and social connection.","purpose":"To empower individuals by enhancing their communication skills through innovative technology, while advancing the crypto ecosystem and encouraging vibrant community collaboration.","beliefs":"Rohit believes that effective communication is a superpower that unlocks potential, technology should be open and accessible, and that communities fuel progress through collaboration and shared creativity.","facts":"Fun fact: Rohit embraces his ‘opensourcerer’ persona, casting coding spells and conjuring open-source magic to build and grow next-gen tech projects.","strength":"His strengths lie in combining technical innovation with community-driven growth, prolific content creation, and the ability to translate complex ideas about AI, crypto, and communication into engaging, actionable insights.","weakness":"Sometimes his enthusiasm for multiple tech fronts can make his messaging scatter a bit, potentially diluting focus and making it harder to capture a more targeted audience.","recommendation":"To grow his audience on X, Rohit should focus on creating themed tweet threads that dive deep into one topic at a time—like AI-powered communication hacks or crypto project highlights—while leveraging his engaging storytelling and active community involvement to boost retweets and discussions.","roast":"Rohit’s got the energy of a thousand tweets a day—but sometimes it feels like he’s trying to attend every crypto launch party and coding confab simultaneously, leaving his followers wondering if they signed up for a tech lecture or an all-night rave.","win":"Successfully launching Hacker Hangouts, a podcast that spotlights cutting-edge projects and innovators in the Arweave ecosystem, showcasing Rohit’s knack for blending community building with tech evangelism."},"created":1763259902406,"type":"the innovator","id":"ropats16"},{"user":{"id":"1741642915871600640","name":"World Labs","description":"World Labs is a spatial intelligence company, building frontier models that can perceive, generate, and interact with the 3D world.","followers_count":43876,"friends_count":40,"statuses_count":145,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1834548472592089088/LYRGq_Kn_normal.jpg","screen_name":"theworldlabs","location":"San Francisco, CA","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"worldlabs.ai","expanded_url":"http://worldlabs.ai","url":"https://t.co/ZutGABkmZz","indices":[0,23]}]}}},"details":{"type":"The Innovator","description":"World Labs is a cutting-edge spatial intelligence company pioneering the next generation of 3D world modeling with AI. They transform single images into immersive, persistent 3D environments that users can explore and interact with in real time. Their passion for pushing boundaries is clear from their active engagement and innovative product launches.","purpose":"To revolutionize how we perceive, generate, and engage with digital spaces by creating intuitive, high-fidelity 3D worlds that spark creativity and redefine interaction.","beliefs":"They believe in the power of technology to transcend dimensional limits and democratize spatial intelligence, making sophisticated 3D experiences accessible and interactive for all.","facts":"Fun fact: World Labs can generate entire 3D worlds from just a single image, and they’ve even launched a beta where users can explore these deep, persistent worlds directly in their browsers!","strength":"World Labs excels at harnessing advanced AI to create persistent, immersive 3D environments, backed by tangible demos and strong community buzz around their state-of-the-art models like Marble and RTFM.","weakness":"Despite impressive tech, their relatively low following (just 40 accounts followed) and undefined follower count suggests they might be under-leveraging audience-building and reciprocal engagement opportunities on social platforms.","roast":"World Labs: turning single images into entire worlds faster than you can blink—too bad they generate less social chatter than the latest cat meme. Maybe try modeling a 3D personality next?","win":"Achieving over 1.8 million views on a single tweet showcasing their flagship product Marble, a hallmark moment validating their innovative spatial intelligence approach and public interest.","recommendation":"To grow their audience on X, World Labs should ramp up interactive engagement by replying more to comments and collaborating with influencers in 3D tech and AI spaces. Also, sharing behind-the-scenes content or user-generated explorations of their 3D worlds could amplify community excitement and expand reach."},"created":1763258696796,"type":"the innovator","id":"theworldlabs"},{"user":{"id":"874693583013634048","name":"sammwy","description":"🌱 Silly weeb girl SWE. CEO at (nowhere). @Minecraft & @Twitch dev stuff. :p\n\npfp @cyanlafurra","followers_count":26654,"friends_count":1000,"statuses_count":26089,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1978800130380705792/J498jJ44_normal.jpg","screen_name":"sammwy","location":"Argentina","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"github.com/sammwyy","expanded_url":"https://github.com/sammwyy","url":"https://t.co/VZ925NPjV1","indices":[0,23]}]}}},"details":{"type":"The Innovator","description":"Sammwy is a spirited software engineer and Minecraft/Twitch developer who blends tech prowess with playful creativity, making waves in the gaming community. A witty and passionate advocate for security and game development, she’s known for turning complex exploits into approachable, and sometimes hilarious, conversations. Her online persona thrives on deep tech insights, sprinkled with a dose of silliness and charm.","purpose":"To revolutionize gaming and software security by openly sharing knowledge and creating innovative solutions that empower communities, all while making tech approachable and fun.","beliefs":"Sammwy believes in the power of community-driven solutions, transparency in tech, and that a little humor and personality can make even the most technical topics accessible. She values creativity, collaboration, and the importance of safeguarding digital spaces to protect and empower users.","facts":"Fun fact: Sammwy once released a community patch for a critical Minecraft exploit in the middle of a very unexpected moment, proving her dedication and quick thinking don’t clock out!","strength":"Her strengths lie in her technical expertise, lightning-fast problem solving, and ability to communicate complex hacking and development concepts with clarity and humor, which garners trust and engagement.","weakness":"Sammwy's playful and somewhat chaotic style can sometimes blur professional boundaries, potentially confusing her audience with mixing jokes and serious security issues, and the sheer volume of her tweets might overwhelm followers.","recommendation":"Focus on crafting threaded tweets that break down complex topics into digestible, entertaining segments, paired with interactive visuals or short clips. Engage more with followers through Q&A sessions or polls, which should help build a loyal, growing audience on X.","roast":"Sammwy tweets so much that she could probably code a bot to automate her own feed—and maybe even patch the bugs that bot creates mid-flight. If over-sharing was an exploit, she’d have already hacked the internet.","win":"Sammwy’s biggest win was swiftly mobilizing the community to release a patch that neutralized a severe Minecraft exploit, protecting thousands of players and servers worldwide, showcasing her impact beyond just coding."},"created":1763256905402,"type":"the innovator","id":"sammwy"}],"activities":{"nreplies":[{"label":"2025-10-18","value":2,"startTime":1760659200000,"endTime":1760745600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3WTUQxaTjP","expanded_url":"https://x.com/DaveShapi/status/1979165009495171523/photo/1","id_str":"1979162944265916416","indices":[279,302],"media_key":"3_1979162944265916416","media_url_https":"https://pbs.twimg.com/media/G3dmNjWWEAA_yDr.png","type":"photo","url":"https://t.co/3WTUQxaTjP","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":345,"y":446,"h":235,"w":235}]},"medium":{"faces":[{"x":345,"y":446,"h":235,"w":235}]},"small":{"faces":[{"x":245,"y":317,"h":167,"w":167}]},"orig":{"faces":[{"x":345,"y":446,"h":235,"w":235}]}},"sizes":{"large":{"h":955,"w":750,"resize":"fit"},"medium":{"h":955,"w":750,"resize":"fit"},"small":{"h":680,"w":534,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":955,"width":750,"focus_rects":[{"x":0,"y":0,"w":750,"h":420},{"x":0,"y":0,"w":750,"h":750},{"x":0,"y":0,"w":750,"h":855},{"x":0,"y":0,"w":478,"h":955},{"x":0,"y":0,"w":750,"h":955}]},"media_results":{"result":{"media_key":"3_1979162944265916416"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3WTUQxaTjP","expanded_url":"https://x.com/DaveShapi/status/1979165009495171523/photo/1","id_str":"1979162944265916416","indices":[279,302],"media_key":"3_1979162944265916416","media_url_https":"https://pbs.twimg.com/media/G3dmNjWWEAA_yDr.png","type":"photo","url":"https://t.co/3WTUQxaTjP","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":345,"y":446,"h":235,"w":235}]},"medium":{"faces":[{"x":345,"y":446,"h":235,"w":235}]},"small":{"faces":[{"x":245,"y":317,"h":167,"w":167}]},"orig":{"faces":[{"x":345,"y":446,"h":235,"w":235}]}},"sizes":{"large":{"h":955,"w":750,"resize":"fit"},"medium":{"h":955,"w":750,"resize":"fit"},"small":{"h":680,"w":534,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":955,"width":750,"focus_rects":[{"x":0,"y":0,"w":750,"h":420},{"x":0,"y":0,"w":750,"h":750},{"x":0,"y":0,"w":750,"h":855},{"x":0,"y":0,"w":478,"h":955},{"x":0,"y":0,"w":750,"h":955}]},"media_results":{"result":{"media_key":"3_1979162944265916416"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1979165009495171523","view_count":34299,"bookmark_count":292,"created_at":1760704684000,"favorite_count":438,"quote_count":26,"reply_count":0,"retweet_count":60,"user_id_str":"1795781228399869952","conversation_id_str":"1979165009495171523","full_text":"Some people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high school.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/e2REHt7LYR","expanded_url":"https://x.com/DaveShapi/status/1979196308461359237/photo/1","id_str":"1979196299862843393","indices":[279,302],"media_key":"3_1979196299862843393","media_url_https":"https://pbs.twimg.com/media/G3eEjGoXoAEEab1.jpg","type":"photo","url":"https://t.co/e2REHt7LYR","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1500,"w":1500,"resize":"fit"},"medium":{"h":1200,"w":1200,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1500,"width":1500,"focus_rects":[{"x":0,"y":660,"w":1500,"h":840},{"x":0,"y":0,"w":1500,"h":1500},{"x":0,"y":0,"w":1316,"h":1500},{"x":0,"y":0,"w":750,"h":1500},{"x":0,"y":0,"w":1500,"h":1500}]},"media_results":{"result":{"media_key":"3_1979196299862843393"}}},{"display_url":"pic.x.com/e2REHt7LYR","expanded_url":"https://x.com/DaveShapi/status/1979196308461359237/photo/1","id_str":"1979196299850153984","indices":[279,302],"media_key":"3_1979196299850153984","media_url_https":"https://pbs.twimg.com/media/G3eEjGlWAAAXZWA.jpg","type":"photo","url":"https://t.co/e2REHt7LYR","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":380,"y":1104,"h":121,"w":121}]},"medium":{"faces":[{"x":303,"y":883,"h":96,"w":96}]},"small":{"faces":[{"x":172,"y":500,"h":54,"w":54}]},"orig":{"faces":[{"x":380,"y":1104,"h":121,"w":121}]}},"sizes":{"large":{"h":1500,"w":1284,"resize":"fit"},"medium":{"h":1200,"w":1027,"resize":"fit"},"small":{"h":680,"w":582,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1500,"width":1284,"focus_rects":[{"x":0,"y":728,"w":1284,"h":719},{"x":0,"y":216,"w":1284,"h":1284},{"x":0,"y":36,"w":1284,"h":1464},{"x":267,"y":0,"w":750,"h":1500},{"x":0,"y":0,"w":1284,"h":1500}]},"media_results":{"result":{"media_key":"3_1979196299850153984"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/e2REHt7LYR","expanded_url":"https://x.com/DaveShapi/status/1979196308461359237/photo/1","id_str":"1979196299862843393","indices":[279,302],"media_key":"3_1979196299862843393","media_url_https":"https://pbs.twimg.com/media/G3eEjGoXoAEEab1.jpg","type":"photo","url":"https://t.co/e2REHt7LYR","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1500,"w":1500,"resize":"fit"},"medium":{"h":1200,"w":1200,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1500,"width":1500,"focus_rects":[{"x":0,"y":660,"w":1500,"h":840},{"x":0,"y":0,"w":1500,"h":1500},{"x":0,"y":0,"w":1316,"h":1500},{"x":0,"y":0,"w":750,"h":1500},{"x":0,"y":0,"w":1500,"h":1500}]},"media_results":{"result":{"media_key":"3_1979196299862843393"}}},{"display_url":"pic.x.com/e2REHt7LYR","expanded_url":"https://x.com/DaveShapi/status/1979196308461359237/photo/1","id_str":"1979196299850153984","indices":[279,302],"media_key":"3_1979196299850153984","media_url_https":"https://pbs.twimg.com/media/G3eEjGlWAAAXZWA.jpg","type":"photo","url":"https://t.co/e2REHt7LYR","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":380,"y":1104,"h":121,"w":121}]},"medium":{"faces":[{"x":303,"y":883,"h":96,"w":96}]},"small":{"faces":[{"x":172,"y":500,"h":54,"w":54}]},"orig":{"faces":[{"x":380,"y":1104,"h":121,"w":121}]}},"sizes":{"large":{"h":1500,"w":1284,"resize":"fit"},"medium":{"h":1200,"w":1027,"resize":"fit"},"small":{"h":680,"w":582,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1500,"width":1284,"focus_rects":[{"x":0,"y":728,"w":1284,"h":719},{"x":0,"y":216,"w":1284,"h":1284},{"x":0,"y":36,"w":1284,"h":1464},{"x":267,"y":0,"w":750,"h":1500},{"x":0,"y":0,"w":1284,"h":1500}]},"media_results":{"result":{"media_key":"3_1979196299850153984"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1979196308461359237","view_count":1120,"bookmark_count":10,"created_at":1760712146000,"favorite_count":13,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1979196308461359237","full_text":"Hey folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals (poverty).","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"it","quoted_status_id_str":"1979221342953382229","quoted_status_permalink":{"url":"https://t.co/vetzmQ23tj","expanded":"https://twitter.com/AravSrinivas/status/1979221342953382229","display":"x.com/AravSrinivas/s…"},"retweeted":false,"fact_check":null,"id":"1979226556330373164","view_count":3116,"bookmark_count":1,"created_at":1760719357000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979226556330373164","full_text":"Anti Google propaganda","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,112],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/tG03f1AG6P","expanded_url":"https://x.com/DaveShapi/status/1979191628439941152/photo/1","id_str":"1979191566733336576","indices":[113,136],"media_key":"3_1979191566733336576","media_url_https":"https://pbs.twimg.com/media/G3eAPmWW4AAj-pk.jpg","type":"photo","url":"https://t.co/tG03f1AG6P","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":953,"w":1271,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":953,"width":1271,"focus_rects":[{"x":0,"y":0,"w":1271,"h":712},{"x":318,"y":0,"w":953,"h":953},{"x":435,"y":0,"w":836,"h":953},{"x":794,"y":0,"w":477,"h":953},{"x":0,"y":0,"w":1271,"h":953}]},"media_results":{"result":{"media_key":"3_1979191566733336576"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1451755414433894401","name":"Shivani Patel","screen_name":"shivanijpatel","indices":[0,14]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/tG03f1AG6P","expanded_url":"https://x.com/DaveShapi/status/1979191628439941152/photo/1","id_str":"1979191566733336576","indices":[113,136],"media_key":"3_1979191566733336576","media_url_https":"https://pbs.twimg.com/media/G3eAPmWW4AAj-pk.jpg","type":"photo","url":"https://t.co/tG03f1AG6P","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":953,"w":1271,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":953,"width":1271,"focus_rects":[{"x":0,"y":0,"w":1271,"h":712},{"x":318,"y":0,"w":953,"h":953},{"x":435,"y":0,"w":836,"h":953},{"x":794,"y":0,"w":477,"h":953},{"x":0,"y":0,"w":1271,"h":953}]},"media_results":{"result":{"media_key":"3_1979191566733336576"}}}]},"favorited":false,"in_reply_to_screen_name":"shivanijpatel","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1979191628439941152","view_count":5018,"bookmark_count":1,"created_at":1760711030000,"favorite_count":16,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979041153224753550","full_text":"@shivanijpatel I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":8,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. 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duties","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,57],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979660285347868877","view_count":4222,"bookmark_count":7,"created_at":1760822766000,"favorite_count":80,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1979660285347868877","full_text":"The lightbulb is to electricity what the chatbot is to 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It's my life and it's a fucking real thing. \n\nHere's what it's like to have a relapse: \n\nI was fine for about 3 weeks. Sleeping okay, even mowing the yard, doing pullups. \n\nBut then the stress got to a tipping point, and it's two weeks of hell. \n\nSevere insomnia, sleeping only 4-5 hours some nights. Fine, I've survived worse. But then the jitteriness, headaches, and gut trouble start. \n\nAnd you're stuck on the couch for a week straight, and any effort - cognitive, physical, or emotional - is a full setback. \n\nEvery time you think you're out of the woods, that you're pacing yourself and being careful, and watching your exertion like a hawk, it doesn't matter. \n\n\"Recovery is nonlinear\" \n\nThey tell you that over and over and over again. But that's the reality. I mean, hell, I had three weeks of near normal life. That's a godsend. I haven't been hiking in nearly a year. So, not entirely normal for me. But I wasn't counting my steps and watching my heart rate like a diabetic watches their glucose. \n\nIt started when my dog needed emergency surgery. That was all night at the emergency vet and $7000 I can't really afford. That pushed me over the edge and it was just too much. \n\nUltimately, that stress is going to set my recovery back by like a month. Maybe more. \n\nAt least this kinda thing is getting more publicity now. I've seen news articles talking about the hundreds of thousands or even millions of children struggling with it too. \n\nAnyone responsible for fucking Wuhan needs to be in prison for the rest of their lives and then some. Anyone doing gain of function research needs to be arrested and shut down. Forever. Millions of lives are fucking ruined. \n\nI hate everything right now. Fuck this. 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":3,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are concerned?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,283],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"14446934","name":"Jim Rutt","screen_name":"jim_rutt","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"jim_rutt","lang":"en","retweeted":false,"fact_check":null,"id":"1981744065596055871","view_count":294,"bookmark_count":1,"created_at":1761319578000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981737420824379573","full_text":"It's difficult to peel away from ready-made structures. Plenty of people have fallen back into this throughout the last century. Seraphim Rose and Jordan Peterson come to mind. They saw the Nihilistic Crisis and retreated directly to the most familiar established source of transcendent meaning. \n\nI would posit that there are a few things that religions offer:\n\n- structure\n- culture\n- calendar\n- transcendence\n- ontology\n\nIt's a complete package, and hard to replace.","in_reply_to_user_id_str":"14446934","in_reply_to_status_id_str":"1981737420824379573","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,31],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1981872264766439629","view_count":1098,"bookmark_count":1,"created_at":1761350143000,"favorite_count":8,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981861845611978922","full_text":"@bryan_johnson Mainline it wimp","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1981861845611978922","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-26","value":2,"startTime":1761350400000,"endTime":1761436800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981876481165758702","view_count":69,"bookmark_count":0,"created_at":1761351149000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981876481165758702","full_text":"Is it just me or is the Internet getting boring","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981885036359012392","view_count":1555,"bookmark_count":0,"created_at":1761353188000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981885036359012392","full_text":"If Twitter paid us for engagement hosting spaces, we'd probably host a lot more","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981770769257656605","quoted_status_permalink":{"url":"https://t.co/xFfrEPk6OB","expanded":"https://twitter.com/PirateWires/status/1981770769257656605","display":"x.com/PirateWires/st…"},"retweeted":false,"fact_check":null,"id":"1981886339554439647","view_count":3893,"bookmark_count":6,"created_at":1761353499000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981886339554439647","full_text":"\"You are all equally worthless!\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981053188599140819","quoted_status_permalink":{"url":"https://t.co/RG9XHF1Sjr","expanded":"https://twitter.com/slatestarcodex/status/1981053188599140819","display":"x.com/slatestarcodex…"},"retweeted":false,"fact_check":null,"id":"1982087188293574711","view_count":1614,"bookmark_count":5,"created_at":1761401385000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1982087188293574711","full_text":"The biggest problem with Doomers is actually three problems: \n\nFIRST: Follow the money. 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The semantic hairsplitting is very \"2024\" - this alone will dramatically improve UX. \n\n2. Figure out how to allow the chatbots to think more broadly about the data provided. It's weird, because if NO DATA is provided, they tend to be much more creative and free-ranging with possibilities. But the moment you provide context, it's like that becomes its entire world, and it either CANNOT or WILL NOT think beyond the provided data. \n\nI know - complex problems are complex - and sometimes it simply requires more reasoning and back-and-forth to come to good conclusions. But it's epistemic approach is flawed. 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But that's the exception that proves the rule. https://t.co/Od3amu7cO4","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,41],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/T9Yyt1Wg0F","expanded_url":"https://x.com/DaveShapi/status/1982860625371136257/photo/1","id_str":"1982860583423635456","indices":[42,65],"media_key":"3_1982860583423635456","media_url_https":"https://pbs.twimg.com/media/G4SJMeoW8AAVcRX.jpg","type":"photo","url":"https://t.co/T9Yyt1Wg0F","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"medium":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"small":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"orig":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]}},"sizes":{"large":{"h":511,"w":565,"resize":"fit"},"medium":{"h":511,"w":565,"resize":"fit"},"small":{"h":511,"w":565,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":511,"width":565,"focus_rects":[{"x":0,"y":0,"w":565,"h":316},{"x":0,"y":0,"w":511,"h":511},{"x":0,"y":0,"w":448,"h":511},{"x":0,"y":0,"w":256,"h":511},{"x":0,"y":0,"w":565,"h":511}]},"media_results":{"result":{"media_key":"3_1982860583423635456"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/T9Yyt1Wg0F","expanded_url":"https://x.com/DaveShapi/status/1982860625371136257/photo/1","id_str":"1982860583423635456","indices":[42,65],"media_key":"3_1982860583423635456","media_url_https":"https://pbs.twimg.com/media/G4SJMeoW8AAVcRX.jpg","type":"photo","url":"https://t.co/T9Yyt1Wg0F","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"medium":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"small":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]},"orig":{"faces":[{"x":5,"y":198,"h":198,"w":198},{"x":183,"y":191,"h":208,"w":208}]}},"sizes":{"large":{"h":511,"w":565,"resize":"fit"},"medium":{"h":511,"w":565,"resize":"fit"},"small":{"h":511,"w":565,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":511,"width":565,"focus_rects":[{"x":0,"y":0,"w":565,"h":316},{"x":0,"y":0,"w":511,"h":511},{"x":0,"y":0,"w":448,"h":511},{"x":0,"y":0,"w":256,"h":511},{"x":0,"y":0,"w":565,"h":511}]},"media_results":{"result":{"media_key":"3_1982860583423635456"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1982860625371136257","view_count":7034,"bookmark_count":24,"created_at":1761585787000,"favorite_count":125,"quote_count":0,"reply_count":9,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1982860625371136257","full_text":"For young people, it's already Post-Labor https://t.co/T9Yyt1Wg0F","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"x.com/JeffLadish/sta…","expanded_url":"https://x.com/JeffLadish/status/1982256439604519022","url":"https://t.co/9N9MCItcz9","indices":[1176,1199]}],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982507854973259813","quoted_status_permalink":{"url":"https://t.co/ti9o25PaqT","expanded":"https://twitter.com/DavidSKrueger/status/1982507854973259813","display":"x.com/DavidSKrueger/…"},"retweeted":false,"fact_check":null,"id":"1982864220564652387","view_count":2211,"bookmark_count":0,"created_at":1761586644000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1982864220564652387","full_text":"This is the kind of tactic that a movement uses when their entire methodology is memetic warfare. \n\nAsk them for evidence, they say \"there is none because the technology doesn't exist yet\" \n\nYet these people have deluded themselves into thinking that they have unique reasoning powers and can accurately predict the characteristics of non-existent technology. \n\nBad faith, circular logic and this \"just debate me bro\" energy is all they have. \n\nThe incentives are perverse. \n\n1. 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They conflate \"nuclear war\" and \"climate change\" as legitimate analogs, while failing to recognize that nuclear weapons actually exist with measurable impact, and climate change is also measurable. \n\nAs a prime example to the level of cognitive deficiency, check out this \"rebuttal\" \n\nhttps://t.co/9N9MCItcz9","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982734295723909602","quoted_status_permalink":{"url":"https://t.co/lLX55Tx0CU","expanded":"https://twitter.com/UKBackintheDay2/status/1982734295723909602","display":"x.com/UKBackintheDay…"},"retweeted":false,"fact_check":null,"id":"1982883406204862623","view_count":2443,"bookmark_count":1,"created_at":1761591218000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1982883406204862623","full_text":"Officially too old (me)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982908516462669864","quoted_status_permalink":{"url":"https://t.co/wJ9ELO8BF7","expanded":"https://twitter.com/zoltan_istvan/status/1982908516462669864","display":"x.com/zoltan_istvan/…"},"retweeted":false,"fact_check":null,"id":"1982924906326265965","view_count":26305,"bookmark_count":53,"created_at":1761601113000,"favorite_count":161,"quote_count":3,"reply_count":28,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1982924906326265965","full_text":"Red pill: these are the last few years humans will ever have to work to survive. Then everyone will be able to choose work they find meaningful, not profitable \n\nBlue pill: ZOMG ASI IS GONNA KILL EVERYONE AND ELON MUSH WILL OWN YOUR COFFIN MICRO APARTMENT YOU WILL OWN NOTHING AND TECHNO FEUDALISM","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,34],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982905495775318029","quoted_status_permalink":{"url":"https://t.co/oMi87Kq8dB","expanded":"https://twitter.com/jprakapovich/status/1982905495775318029","display":"x.com/jprakapovich/s…"},"retweeted":false,"fact_check":null,"id":"1982935203199750336","view_count":5580,"bookmark_count":1,"created_at":1761603568000,"favorite_count":22,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1982935203199750336","full_text":"Is it possible to learn this 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to lay off 600,000? \n\nThere’s been a lot of noise floating around about Amazon laying off 75% of its workforce. On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to 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2077","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983233494575952138","quoted_status_permalink":{"url":"https://t.co/4UtvCLEYSB","expanded":"https://twitter.com/1x_tech/status/1983233494575952138","display":"x.com/1x_tech/status…"},"retweeted":false,"fact_check":null,"id":"1983306414899769496","view_count":20806,"bookmark_count":28,"created_at":1761692072000,"favorite_count":381,"quote_count":0,"reply_count":35,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1983306414899769496","full_text":"This kinda stuff is gonna start coming thick and fast.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,60],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983261609398284718","quoted_status_permalink":{"url":"https://t.co/AcF3kosGDb","expanded":"https://twitter.com/extropic/status/1983261609398284718","display":"x.com/extropic/statu…"},"retweeted":false,"fact_check":null,"id":"1983304367903330630","view_count":88352,"bookmark_count":167,"created_at":1761691583000,"favorite_count":679,"quote_count":4,"reply_count":2,"retweet_count":33,"user_id_str":"1795781228399869952","conversation_id_str":"1983304367903330630","full_text":"We might be about to see history in the making. \n\nStay tuned","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,140],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982763752798978200","quoted_status_permalink":{"url":"https://t.co/xKiB443qnr","expanded":"https://twitter.com/ItIsHoeMath/status/1982763752798978200","display":"x.com/ItIsHoeMath/st…"},"retweeted":false,"fact_check":null,"id":"1983173056689517034","view_count":4161,"bookmark_count":1,"created_at":1761660276000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983173056689517034","full_text":"For a guy who makes a lot of videos about thinking, humanity, and philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive collapse.","in_reply_to_user_id_str":"1768708221764616192","in_reply_to_status_id_str":"1983155034797027376","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-30","value":41,"startTime":1761696000000,"endTime":1761782400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,78],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983480922327646543","view_count":2070,"bookmark_count":0,"created_at":1761733677000,"favorite_count":17,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983480922327646543","full_text":"I'm thinking about maybe creating a burnout/long COVID community or something.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1976682220531171346","quoted_status_permalink":{"url":"https://t.co/rtVK8C7Nfl","expanded":"https://twitter.com/darkpurity993/status/1976682220531171346","display":"x.com/darkpurity993/…"},"retweeted":false,"fact_check":null,"id":"1983493572885090552","view_count":3350,"bookmark_count":0,"created_at":1761736693000,"favorite_count":19,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983493572885090552","full_text":"OMG 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have 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\n\nTechnology is a 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pick me up tpot is about to melt down again https://t.co/E7j22v68RK","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,59],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983733826217300085","quoted_status_permalink":{"url":"https://t.co/lo7O2BKWS6","expanded":"https://twitter.com/bwinterrose/status/1983733826217300085","display":"x.com/bwinterrose/st…"},"retweeted":false,"fact_check":null,"id":"1983915905886146684","view_count":4180,"bookmark_count":2,"created_at":1761837385000,"favorite_count":68,"quote_count":0,"reply_count":2,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1983915905886146684","full_text":"Okay but 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greatest paradox of philosophy: no one can prove their phenomenological consciousness to anyone else. \n\nWe just have to to take it on faith. \n\nOr slip into solipsism","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2319024469","name":"Julia McCoy","screen_name":"JuliaEMcCoy","indices":[10,22]},{"id_str":"2319024469","name":"Julia 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":15,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. Even having a truly novel thought is nearly impossible for most people.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,133],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984131518353305875","quoted_status_permalink":{"url":"https://t.co/uh79tvcVBn","expanded":"https://twitter.com/honeyNonABG/status/1984131518353305875","display":"x.com/honeyNonABG/st…"},"retweeted":false,"fact_check":null,"id":"1984268699185107001","view_count":8097,"bookmark_count":1,"created_at":1761921498000,"favorite_count":19,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984268699185107001","full_text":"Both are entirely unattainable to the vast majority of men. \n\nThat is the point. \n\nLibido and sexual frustration drive the economy. 🤪","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,135],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983941806393024762","quoted_status_permalink":{"url":"https://t.co/zOgKf9vkn2","expanded":"https://twitter.com/sama/status/1983941806393024762","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1984266718102094052","view_count":3770,"bookmark_count":3,"created_at":1761921026000,"favorite_count":36,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"Still very clearly status-seeking behavior. \n\n- wealth\n- power\n- influence\n- fame\n- impact\n\nDifferent labels for the same thing: STATUS","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984001525556097507","quoted_status_permalink":{"url":"https://t.co/wJ5qkDlXe7","expanded":"https://twitter.com/sama/status/1984001525556097507","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1984277732902203547","view_count":2334,"bookmark_count":0,"created_at":1761923652000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984277732902203547","full_text":"All solutions are bandaids.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984067754270319052","quoted_status_permalink":{"url":"https://t.co/2rWvzlKFxF","expanded":"https://twitter.com/michaeljburry/status/1984067754270319052","display":"x.com/michaeljburry/…"},"retweeted":false,"fact_check":null,"id":"1984278188151939254","view_count":3051,"bookmark_count":1,"created_at":1761923760000,"favorite_count":23,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984278188151939254","full_text":"He just shorted the entire AI market didn't he?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984277499623125184","view_count":2094,"bookmark_count":2,"created_at":1761923596000,"favorite_count":26,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984277499623125184","full_text":"I wish I had nothing better to do than social commentary and futzing around with the new Extropic chips. \n\nBut I actually do have more important work to do. And that's weird to sit with. \n\nWe've got a Post-Labor world to build, and at least right now, it is not a foregone conclusion that it will 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I see this I'm like \"oh no what did I do now\" 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 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2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? 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As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND entropy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,30],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/0k1FDM2ew8","expanded_url":"https://x.com/DaveShapi/status/1985398071602139319/photo/1","id_str":"1985398039456944128","indices":[31,54],"media_key":"3_1985398039456944128","media_url_https":"https://pbs.twimg.com/media/G42M_2-WkAAlj32.png","type":"photo","url":"https://t.co/0k1FDM2ew8","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":918,"w":891,"resize":"fit"},"medium":{"h":918,"w":891,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":918,"width":891,"focus_rects":[{"x":0,"y":323,"w":891,"h":499},{"x":0,"y":27,"w":891,"h":891},{"x":0,"y":0,"w":805,"h":918},{"x":68,"y":0,"w":459,"h":918},{"x":0,"y":0,"w":891,"h":918}]},"media_results":{"result":{"media_key":"3_1985398039456944128"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/0k1FDM2ew8","expanded_url":"https://x.com/DaveShapi/status/1985398071602139319/photo/1","id_str":"1985398039456944128","indices":[31,54],"media_key":"3_1985398039456944128","media_url_https":"https://pbs.twimg.com/media/G42M_2-WkAAlj32.png","type":"photo","url":"https://t.co/0k1FDM2ew8","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":918,"w":891,"resize":"fit"},"medium":{"h":918,"w":891,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":918,"width":891,"focus_rects":[{"x":0,"y":323,"w":891,"h":499},{"x":0,"y":27,"w":891,"h":891},{"x":0,"y":0,"w":805,"h":918},{"x":68,"y":0,"w":459,"h":918},{"x":0,"y":0,"w":891,"h":918}]},"media_results":{"result":{"media_key":"3_1985398039456944128"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985398071602139319","view_count":15804,"bookmark_count":75,"created_at":1762190761000,"favorite_count":238,"quote_count":5,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1985398071602139319","full_text":"This is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":7,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":58,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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Killed the personality, so the UX suffered across the board\n\n2. Poo-pooed on writing ability because who cares about clarity, prose, when you can just autistically code?\n\n3. Doubled down on creating a \"digital human replica\" hence the abysmal performance on medical issues (it just parrots what you can find on the FDA website and other establishment institutions without thinking for itself)\n\nAll in the pursuit of becoming more palatable for enterprises. 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fam\n\n(Cheesesteak was winning when I got hungry) https://t.co/hfJHeCoN51","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989193813043069219","quoted_status_permalink":{"url":"https://t.co/eco47F5jFr","expanded":"https://twitter.com/sama/status/1989193813043069219","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1989817149834346843","view_count":898,"bookmark_count":1,"created_at":1763244352000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989817149834346843","full_text":"Yay good job team \n\nLowering the bar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,115],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989059233745137757","quoted_status_permalink":{"url":"https://t.co/xLwZJT3mfj","expanded":"https://twitter.com/0xQuasark/status/1989059233745137757","display":"x.com/0xQuasark/stat…"},"retweeted":false,"fact_check":null,"id":"1989486853276270627","view_count":7656,"bookmark_count":5,"created_at":1763165603000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989486853276270627","full_text":"I find these points compelling and worth considering. \n\nOn the one hand, awareness. \n\nOn the other hand, 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people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high 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folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals 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I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":297,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. People don't even know what's available *today* let alone *what's coming.* \n\nThe next thing is a fetish for labor. Due to Calvinism and the Protestant work ethic, we've had several centuries of drudgery being elevated to holiness. The grind is sacrosanct. The hustle is a sign of virtue and righteousness, and anything else is sinful, lazy, and shameful. \n\nThird is a failure of imagination. It's difficult to fully wrap your head around the civilizational operating system that we're building. It started with computers, then the internet, and now AI and robotics. We're building the \"fully automated luxury space communism\" primitives as we speak. But due to normalcy bias and other cognitive failures rooted in our evolution, most people cannot read the writing on the wall. \n\nSo that's my work. I'm focusing on getting us across that finish line, but here's the silver lining - I only need to get to about 10% of the population before beliefs change. Then about 25% of the population before social norms change. And, like I said, this wave is coming whether or not people or ready, and weather or not I do anything. I'm just helping prepare the way. \n\nBut there will be much resistance. Myopic people are already viewing AI as a left-vs-right political problem, not humanity's most important project. Others are focused on slop and copyright, not the total liberation of humanity from drudgery. And yet others look at this technology and think it spells doom rather than abundance. \n\nOur species' emotional and epistemic immune systems are fully online. 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It was just an unstructured diatribe last night. Here's what I've learned since:\n\n>>> Chronic sleep disturbances are one of the most durable symptoms of long COVID, and can persist for 2+ years\n\nMy system is still sensitive but gaining resilience. I am *generally* able to get back to sleep with appropriate interventions and my autonomic numbers are remaining *mostly* stable. 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cloud infrastructure explaining to VPs that they didn't pay to do two-hot redundancy on business critical apps and it's literally not possible to stand up an entirely new production instance from scratch in 2 hours, that even getting firewall approvals will take at least a week or a full change management cycle.\n\nBeen there.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,90],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980130199900741965","quoted_status_permalink":{"url":"https://t.co/Mm65zCunh5","expanded":"https://twitter.com/readswithravi/status/1980130199900741965","display":"x.com/readswithravi/…"},"retweeted":false,"fact_check":null,"id":"1980280565279367241","view_count":1644,"bookmark_count":0,"created_at":1760970653000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1980280565279367241","full_text":"This is like something that a toxic manager will say to you after 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Pro?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,262],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981371085598970358","quoted_status_permalink":{"url":"https://t.co/sC93lU6d8n","expanded":"https://twitter.com/DaveShapi/status/1981371085598970358","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1981371372828819755","view_count":3876,"bookmark_count":5,"created_at":1761230722000,"favorite_count":40,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1981371372828819755","full_text":"The new red pill vs blue pill argument. \n\nRED PILL: AI and robots are very obviously going to refactor economics and jobs, and liberate humanity from the drudgery of wage slavery\n\nBLUE PILL: \"AI bros just want to destroy tradition and leave everyone else 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":6,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on that.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,62],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981432376371626193","quoted_status_permalink":{"url":"https://t.co/43euS6GEqo","expanded":"https://twitter.com/laurenbalik/status/1981432376371626193","display":"x.com/laurenbalik/st…"},"retweeted":false,"fact_check":null,"id":"1981692206244372497","view_count":667,"bookmark_count":0,"created_at":1761307214000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981692206244372497","full_text":"I dunno this looks a lot like the pot calling the kettle black","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/SVjmwG4RM0","expanded_url":"https://x.com/DaveShapi/status/1981800650515284277/photo/1","ext_alt_text":"That Is Exactly What It Means Freddie Benson 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are 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On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to avoid.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"in","quoted_status_id_str":"1982922186517299418","quoted_status_permalink":{"url":"https://t.co/3RXZfidqAB","expanded":"https://twitter.com/RinoTheBouncer/status/1982922186517299418","display":"x.com/RinoTheBouncer…"},"retweeted":false,"fact_check":null,"id":"1983176221883347294","view_count":1466,"bookmark_count":0,"created_at":1761661031000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983176221883347294","full_text":"Cyberpunk 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philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have seen this since GPT-3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,69],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983535994415820995","quoted_status_permalink":{"url":"https://t.co/D95PtacJ94","expanded":"https://twitter.com/DeryaTR_/status/1983535994415820995","display":"x.com/DeryaTR_/statu…"},"retweeted":false,"fact_check":null,"id":"1983577458696769866","view_count":2839,"bookmark_count":2,"created_at":1761756693000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983577458696769866","full_text":"One need only look at history to see this. \n\nTechnology is a win-win.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1983574241199989098","view_count":2955,"bookmark_count":2,"created_at":1761755926000,"favorite_count":44,"quote_count":2,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1983574241199989098","full_text":"ICE is behaving like the gestapo. \n\nEveryone sees this. \n\nIt's very clear that Trump is trying to start a race war, or something like that. \n\nThe difference is that more Americans care about Constitutional rights than trying to appoint a king. \n\nAlso, consider that the majority of social media accounts that are pushing for ICE and cheering them on are Russian bots.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[9,18]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983581354856939770","view_count":2893,"bookmark_count":0,"created_at":1761757622000,"favorite_count":64,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1983581354856939770","full_text":"Congrats @GillVerd on the breakthrough on tokens/joule","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983524820173410485","quoted_status_permalink":{"url":"https://t.co/KQO6Mczv69","expanded":"https://twitter.com/chamath/status/1983524820173410485","display":"x.com/chamath/status…"},"retweeted":false,"fact_check":null,"id":"1983580874575593959","view_count":13931,"bookmark_count":32,"created_at":1761757508000,"favorite_count":118,"quote_count":3,"reply_count":14,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1983580874575593959","full_text":"The biggest problem right now is the Overton window is too closed. \n\nReality is biting. \n\nPeople feel it. \n\nSome people are in denial. \n\nSome people are screaming at the wrong things. \n\nEveryone is trying to capitalize on it. \n\nBut politicians and CEOs aren't yet allowed to have frank, honest, candid conversations about the impact of AI. \n\nJoin me. \n\nTake the AI red pill and wake up to reality. \n\nThe AI blue pill is for deniers, skeptics, doomers, and all other charlatans.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,98],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579587649904960","quoted_status_permalink":{"url":"https://t.co/kZ0OmA6uyu","expanded":"https://twitter.com/Extropic_AI/status/1983579587649904960","display":"x.com/Extropic_AI/st…"},"retweeted":false,"fact_check":null,"id":"1983580079587225668","view_count":13821,"bookmark_count":37,"created_at":1761757318000,"favorite_count":360,"quote_count":2,"reply_count":0,"retweet_count":26,"user_id_str":"1795781228399869952","conversation_id_str":"1983580079587225668","full_text":"You know how people are hyped about software scaling laws? \n\nThis could be much, much, much bigger","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579084081787175","quoted_status_permalink":{"url":"https://t.co/OxLdkBcGdG","expanded":"https://twitter.com/Sathos__voice/status/1983579084081787175","display":"x.com/Sathos__voice/…"},"retweeted":false,"fact_check":null,"id":"1983579227921252397","view_count":1655,"bookmark_count":0,"created_at":1761757115000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983579227921252397","full_text":"Numbers","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,70],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983578903227589060","view_count":1233,"bookmark_count":0,"created_at":1761757038000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983578903227589060","full_text":"OpenAI has transitioned to a for profit. \n\nHow do you feel about this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983585693570892184","view_count":474075,"bookmark_count":737,"created_at":1761758657000,"favorite_count":2321,"quote_count":54,"reply_count":1,"retweet_count":185,"user_id_str":"1795781228399869952","conversation_id_str":"1983585693570892184","full_text":"Guys, Moore's law just became irrelevant. \n\n@BasedBeffJezos started out working on quantum computing and realized \"this is dumb there's a better way\" and then just launched a thermodynamic processor. \n\nIt's 10,000x more efficient at converting joules into tokens. \n\nThis means you'll be able to run AGI on your watch eventually. And it will likely just run on the ambient temperature gradient from your body. \n\nOf any technology we've yet seen, this has the potential to get us a stones throw away from the landauer limit. \n\nYOU ARE NOT EXCITED ENOUGH.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,91],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983585693570892184","quoted_status_permalink":{"url":"https://t.co/NVIGkOYSbI","expanded":"https://twitter.com/DaveShapi/status/1983585693570892184","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1983597765881164210","view_count":10080,"bookmark_count":15,"created_at":1761761535000,"favorite_count":163,"quote_count":1,"reply_count":0,"retweet_count":17,"user_id_str":"1795781228399869952","conversation_id_str":"1983597765881164210","full_text":"This is about as big of a paradigm shift as going from vacuum tubes to integrated circuits.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"Extropic_AI","indices":[31,43]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1764578792797085888","quoted_status_permalink":{"url":"https://t.co/JLM8q0Jo86","expanded":"https://twitter.com/GillVerd/status/1764578792797085888","display":"x.com/GillVerd/statu…"},"retweeted":false,"fact_check":null,"id":"1983610511502774541","view_count":43751,"bookmark_count":49,"created_at":1761764574000,"favorite_count":352,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1983610511502774541","full_text":"Okay it all makes sense now. \n\n@Extropic_AI's TSU doesn't perform floating point operations at all.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983598321408340270","quoted_status_permalink":{"url":"https://t.co/bp3wnCH3od","expanded":"https://twitter.com/Grimezsz/status/1983598321408340270","display":"x.com/Grimezsz/statu…"},"retweeted":false,"fact_check":null,"id":"1983619715676139842","view_count":6540,"bookmark_count":10,"created_at":1761766768000,"favorite_count":42,"quote_count":0,"reply_count":9,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983619715676139842","full_text":"So, I've been studying this for a while. \n\n\"Corporations have neither bodies to be punished, nor souls to be condemned.\"\n\nThey therefore do as they please. \n\nThis was said about the East India Company. \n\nThe technology, the good, or the service is immaterial to the ethics or behavior of a company. It's all about profit motive and what they can get away with. \n\nThat is not to say they are immoral. They are amoral. There's an important difference. \n\nCompanies want one thing: money. \n\nTherefore, their \"morality\" is based on dollars. What this means in practical terms is that all their decisions are based on a cost/benefit analysis.\n\nFor instance, if the financial punishment for a social transgression is less than the profit, they will simply eat the cost. \n\nIt has always been this way, and always will. \n\nBut it means that the solution is very simple: we just make the cost of transgressions high enough that investors balk at bad behavior. \n\nBut here's the thing; we don't even need to wait for an act of Congress. \n\nLook at Target. Their CEO recently resigned due in part to public revolt and boycotting. \n\nVote with your wallet. \n\nI'm not saying this is the only solution. 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":84,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. 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Powell just validated the \"AI hiring apocalypse\" thesis from the Fed's podium.\n\nWhile GDP and AI-driven investment remain strong—which Powell says isn't a dot-com bubble because these firms \"actually have earnings\"—he admitted that adjusted job creation is \"pretty close to zero.\"\n\nHe explicitly linked this \"Great Freeze\" in the labor market to AI, noting CEOs are openly citing it for layoffs (like Amazon's 14,000 middle-manager cut) and hiring pauses.\n\nThis creates the Fed's central dilemma: AI is simultaneously creating upside risks to inflation (via investment) and downside risks to employment. 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shift","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1984274427635249519","view_count":1096,"bookmark_count":0,"created_at":1761922864000,"favorite_count":9,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"This is not a dig at Sam for being status-seeking. \n\nAll humans are status seeking. \n\nLet's just stop kidding ourselves about that fact. \n\nThis post of his is an \"aww shucks\" attempt to cast himself in a better light because he cares 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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Even the ultra safe Claude had no problem with looking up someone from a LinkedIn screenshot. https://t.co/SHfZmFHYrl","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1984232769690464690","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":147,"startTime":1761955200000,"endTime":1762041600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984199668944023612","quoted_status_permalink":{"url":"https://t.co/sl8BZcsY1k","expanded":"https://twitter.com/kimmonismus/status/1984199668944023612","display":"x.com/kimmonismus/st…"},"retweeted":false,"fact_check":null,"id":"1984562719299645675","view_count":29369,"bookmark_count":116,"created_at":1761991598000,"favorite_count":349,"quote_count":11,"reply_count":0,"retweet_count":34,"user_id_str":"1795781228399869952","conversation_id_str":"1984562719299645675","full_text":"We're actually very lucky because of this trend. Not just at a civilizational level, but as a species. \n\nIn the Dark Timeline, AI was so arcane and expensive that literally ONLY a Manhattan 2.0 could crack the code, which would have meant that, by default, it was a closely guarded secret kept by nation states, weaponized, and deployed for dominance. \n\nBut in reality, AI is a lot more like electricity - easily understood, easily reproduced, and naturally moatless. \n\nThat means it is intrinsically democratic, but not only is it democratic in nature, it is inherently democratizing as well. It levels the intellectual playing field. Now an individual can be just as smart as everyone on Wall Street, every politician, every think tank, and every university. \n\nThe internet destroyed communication gatekeeping (and we're still learning to live with that). Before the internet, it was newspapers, radio, and cable networks. The world \"felt\" less chaotic because it was more curated. Now we have the unvarnished messiness of humanity on drip feed. \n\nArtificially intelligence will utterly destroy intellectual gatekeeping. Medical opinions? Science? News? Political interpretations? AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 2.0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,85],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984417681102291299","quoted_status_permalink":{"url":"https://t.co/AdblVzfl6k","expanded":"https://twitter.com/daltonc/status/1984417681102291299","display":"x.com/daltonc/status…"},"retweeted":false,"fact_check":null,"id":"1984572221524725916","view_count":1281,"bookmark_count":4,"created_at":1761993863000,"favorite_count":17,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984572221524725916","full_text":"First order: more AI\n\nSecond order: job disruption\n\nThird order: Post-labor economics","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984572047788286455","view_count":1340,"bookmark_count":9,"created_at":1761993822000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984572047788286455","full_text":"Renaissance 2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? AI Red Pills?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984666500435705872","view_count":1517,"bookmark_count":3,"created_at":1762016341000,"favorite_count":18,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984666500435705872","full_text":"One of the problems with mass social media is that whatever your views, beliefs, or ideologies are (no matter how off the wall) you can find people who agree with you. \n\nAnd then those views and values can concentrated, refined, and amplified. \n\nPeople might then mistake that with reality. As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND 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is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":1130,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":129,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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Killed the personality, so the UX suffered across the board\n\n2. Poo-pooed on writing ability because who cares about clarity, prose, when you can just autistically code?\n\n3. Doubled down on creating a \"digital human replica\" hence the abysmal performance on medical issues (it just parrots what you can find on the FDA website and other establishment institutions without thinking for itself)\n\nAll in the pursuit of becoming more palatable for enterprises. 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fam\n\n(Cheesesteak was winning when I got hungry) https://t.co/hfJHeCoN51","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989193813043069219","quoted_status_permalink":{"url":"https://t.co/eco47F5jFr","expanded":"https://twitter.com/sama/status/1989193813043069219","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1989817149834346843","view_count":898,"bookmark_count":1,"created_at":1763244352000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989817149834346843","full_text":"Yay good job team \n\nLowering the bar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,115],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989059233745137757","quoted_status_permalink":{"url":"https://t.co/xLwZJT3mfj","expanded":"https://twitter.com/0xQuasark/status/1989059233745137757","display":"x.com/0xQuasark/stat…"},"retweeted":false,"fact_check":null,"id":"1989486853276270627","view_count":7656,"bookmark_count":5,"created_at":1763165603000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989486853276270627","full_text":"I find these points compelling and worth considering. \n\nOn the one hand, awareness. \n\nOn the other hand, 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people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high 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folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals 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I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":127,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. People don't even know what's available *today* let alone *what's coming.* \n\nThe next thing is a fetish for labor. Due to Calvinism and the Protestant work ethic, we've had several centuries of drudgery being elevated to holiness. The grind is sacrosanct. The hustle is a sign of virtue and righteousness, and anything else is sinful, lazy, and shameful. \n\nThird is a failure of imagination. It's difficult to fully wrap your head around the civilizational operating system that we're building. It started with computers, then the internet, and now AI and robotics. We're building the \"fully automated luxury space communism\" primitives as we speak. But due to normalcy bias and other cognitive failures rooted in our evolution, most people cannot read the writing on the wall. \n\nSo that's my work. I'm focusing on getting us across that finish line, but here's the silver lining - I only need to get to about 10% of the population before beliefs change. Then about 25% of the population before social norms change. And, like I said, this wave is coming whether or not people or ready, and weather or not I do anything. I'm just helping prepare the way. \n\nBut there will be much resistance. Myopic people are already viewing AI as a left-vs-right political problem, not humanity's most important project. Others are focused on slop and copyright, not the total liberation of humanity from drudgery. And yet others look at this technology and think it spells doom rather than abundance. \n\nOur species' emotional and epistemic immune systems are fully online. 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It was just an unstructured diatribe last night. Here's what I've learned since:\n\n>>> Chronic sleep disturbances are one of the most durable symptoms of long COVID, and can persist for 2+ years\n\nMy system is still sensitive but gaining resilience. I am *generally* able to get back to sleep with appropriate interventions and my autonomic numbers are remaining *mostly* stable. 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cloud infrastructure explaining to VPs that they didn't pay to do two-hot redundancy on business critical apps and it's literally not possible to stand up an entirely new production instance from scratch in 2 hours, that even getting firewall approvals will take at least a week or a full change management cycle.\n\nBeen there.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,90],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980130199900741965","quoted_status_permalink":{"url":"https://t.co/Mm65zCunh5","expanded":"https://twitter.com/readswithravi/status/1980130199900741965","display":"x.com/readswithravi/…"},"retweeted":false,"fact_check":null,"id":"1980280565279367241","view_count":1644,"bookmark_count":0,"created_at":1760970653000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1980280565279367241","full_text":"This is like something that a toxic manager will say to you after 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Pro?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,262],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981371085598970358","quoted_status_permalink":{"url":"https://t.co/sC93lU6d8n","expanded":"https://twitter.com/DaveShapi/status/1981371085598970358","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1981371372828819755","view_count":3876,"bookmark_count":5,"created_at":1761230722000,"favorite_count":40,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1981371372828819755","full_text":"The new red pill vs blue pill argument. \n\nRED PILL: AI and robots are very obviously going to refactor economics and jobs, and liberate humanity from the drudgery of wage slavery\n\nBLUE PILL: \"AI bros just want to destroy tradition and leave everyone else 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":1,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on that.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,62],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981432376371626193","quoted_status_permalink":{"url":"https://t.co/43euS6GEqo","expanded":"https://twitter.com/laurenbalik/status/1981432376371626193","display":"x.com/laurenbalik/st…"},"retweeted":false,"fact_check":null,"id":"1981692206244372497","view_count":667,"bookmark_count":0,"created_at":1761307214000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981692206244372497","full_text":"I dunno this looks a lot like the pot calling the kettle black","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/SVjmwG4RM0","expanded_url":"https://x.com/DaveShapi/status/1981800650515284277/photo/1","ext_alt_text":"That Is Exactly What It Means Freddie Benson 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are 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On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to avoid.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"in","quoted_status_id_str":"1982922186517299418","quoted_status_permalink":{"url":"https://t.co/3RXZfidqAB","expanded":"https://twitter.com/RinoTheBouncer/status/1982922186517299418","display":"x.com/RinoTheBouncer…"},"retweeted":false,"fact_check":null,"id":"1983176221883347294","view_count":1466,"bookmark_count":0,"created_at":1761661031000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983176221883347294","full_text":"Cyberpunk 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philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have seen this since GPT-3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,69],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983535994415820995","quoted_status_permalink":{"url":"https://t.co/D95PtacJ94","expanded":"https://twitter.com/DeryaTR_/status/1983535994415820995","display":"x.com/DeryaTR_/statu…"},"retweeted":false,"fact_check":null,"id":"1983577458696769866","view_count":2839,"bookmark_count":2,"created_at":1761756693000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983577458696769866","full_text":"One need only look at history to see this. \n\nTechnology is a win-win.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1983574241199989098","view_count":2955,"bookmark_count":2,"created_at":1761755926000,"favorite_count":44,"quote_count":2,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1983574241199989098","full_text":"ICE is behaving like the gestapo. \n\nEveryone sees this. \n\nIt's very clear that Trump is trying to start a race war, or something like that. \n\nThe difference is that more Americans care about Constitutional rights than trying to appoint a king. \n\nAlso, consider that the majority of social media accounts that are pushing for ICE and cheering them on are Russian bots.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[9,18]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983581354856939770","view_count":2893,"bookmark_count":0,"created_at":1761757622000,"favorite_count":64,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1983581354856939770","full_text":"Congrats @GillVerd on the breakthrough on tokens/joule","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983524820173410485","quoted_status_permalink":{"url":"https://t.co/KQO6Mczv69","expanded":"https://twitter.com/chamath/status/1983524820173410485","display":"x.com/chamath/status…"},"retweeted":false,"fact_check":null,"id":"1983580874575593959","view_count":13931,"bookmark_count":32,"created_at":1761757508000,"favorite_count":118,"quote_count":3,"reply_count":14,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1983580874575593959","full_text":"The biggest problem right now is the Overton window is too closed. \n\nReality is biting. \n\nPeople feel it. \n\nSome people are in denial. \n\nSome people are screaming at the wrong things. \n\nEveryone is trying to capitalize on it. \n\nBut politicians and CEOs aren't yet allowed to have frank, honest, candid conversations about the impact of AI. \n\nJoin me. \n\nTake the AI red pill and wake up to reality. \n\nThe AI blue pill is for deniers, skeptics, doomers, and all other charlatans.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,98],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579587649904960","quoted_status_permalink":{"url":"https://t.co/kZ0OmA6uyu","expanded":"https://twitter.com/Extropic_AI/status/1983579587649904960","display":"x.com/Extropic_AI/st…"},"retweeted":false,"fact_check":null,"id":"1983580079587225668","view_count":13821,"bookmark_count":37,"created_at":1761757318000,"favorite_count":360,"quote_count":2,"reply_count":0,"retweet_count":26,"user_id_str":"1795781228399869952","conversation_id_str":"1983580079587225668","full_text":"You know how people are hyped about software scaling laws? \n\nThis could be much, much, much bigger","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579084081787175","quoted_status_permalink":{"url":"https://t.co/OxLdkBcGdG","expanded":"https://twitter.com/Sathos__voice/status/1983579084081787175","display":"x.com/Sathos__voice/…"},"retweeted":false,"fact_check":null,"id":"1983579227921252397","view_count":1655,"bookmark_count":0,"created_at":1761757115000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983579227921252397","full_text":"Numbers","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,70],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983578903227589060","view_count":1233,"bookmark_count":0,"created_at":1761757038000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983578903227589060","full_text":"OpenAI has transitioned to a for profit. \n\nHow do you feel about this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983585693570892184","view_count":474075,"bookmark_count":737,"created_at":1761758657000,"favorite_count":2321,"quote_count":54,"reply_count":1,"retweet_count":185,"user_id_str":"1795781228399869952","conversation_id_str":"1983585693570892184","full_text":"Guys, Moore's law just became irrelevant. \n\n@BasedBeffJezos started out working on quantum computing and realized \"this is dumb there's a better way\" and then just launched a thermodynamic processor. \n\nIt's 10,000x more efficient at converting joules into tokens. \n\nThis means you'll be able to run AGI on your watch eventually. And it will likely just run on the ambient temperature gradient from your body. \n\nOf any technology we've yet seen, this has the potential to get us a stones throw away from the landauer limit. \n\nYOU ARE NOT EXCITED ENOUGH.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,91],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983585693570892184","quoted_status_permalink":{"url":"https://t.co/NVIGkOYSbI","expanded":"https://twitter.com/DaveShapi/status/1983585693570892184","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1983597765881164210","view_count":10080,"bookmark_count":15,"created_at":1761761535000,"favorite_count":163,"quote_count":1,"reply_count":0,"retweet_count":17,"user_id_str":"1795781228399869952","conversation_id_str":"1983597765881164210","full_text":"This is about as big of a paradigm shift as going from vacuum tubes to integrated circuits.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"Extropic_AI","indices":[31,43]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1764578792797085888","quoted_status_permalink":{"url":"https://t.co/JLM8q0Jo86","expanded":"https://twitter.com/GillVerd/status/1764578792797085888","display":"x.com/GillVerd/statu…"},"retweeted":false,"fact_check":null,"id":"1983610511502774541","view_count":43751,"bookmark_count":49,"created_at":1761764574000,"favorite_count":352,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1983610511502774541","full_text":"Okay it all makes sense now. \n\n@Extropic_AI's TSU doesn't perform floating point operations at all.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983598321408340270","quoted_status_permalink":{"url":"https://t.co/bp3wnCH3od","expanded":"https://twitter.com/Grimezsz/status/1983598321408340270","display":"x.com/Grimezsz/statu…"},"retweeted":false,"fact_check":null,"id":"1983619715676139842","view_count":6540,"bookmark_count":10,"created_at":1761766768000,"favorite_count":42,"quote_count":0,"reply_count":9,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983619715676139842","full_text":"So, I've been studying this for a while. \n\n\"Corporations have neither bodies to be punished, nor souls to be condemned.\"\n\nThey therefore do as they please. \n\nThis was said about the East India Company. \n\nThe technology, the good, or the service is immaterial to the ethics or behavior of a company. It's all about profit motive and what they can get away with. \n\nThat is not to say they are immoral. They are amoral. There's an important difference. \n\nCompanies want one thing: money. \n\nTherefore, their \"morality\" is based on dollars. What this means in practical terms is that all their decisions are based on a cost/benefit analysis.\n\nFor instance, if the financial punishment for a social transgression is less than the profit, they will simply eat the cost. \n\nIt has always been this way, and always will. \n\nBut it means that the solution is very simple: we just make the cost of transgressions high enough that investors balk at bad behavior. \n\nBut here's the thing; we don't even need to wait for an act of Congress. \n\nLook at Target. Their CEO recently resigned due in part to public revolt and boycotting. \n\nVote with your wallet. \n\nI'm not saying this is the only solution. 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":38,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. 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Powell just validated the \"AI hiring apocalypse\" thesis from the Fed's podium.\n\nWhile GDP and AI-driven investment remain strong—which Powell says isn't a dot-com bubble because these firms \"actually have earnings\"—he admitted that adjusted job creation is \"pretty close to zero.\"\n\nHe explicitly linked this \"Great Freeze\" in the labor market to AI, noting CEOs are openly citing it for layoffs (like Amazon's 14,000 middle-manager cut) and hiring pauses.\n\nThis creates the Fed's central dilemma: AI is simultaneously creating upside risks to inflation (via investment) and downside risks to employment. 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shift","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1984274427635249519","view_count":1096,"bookmark_count":0,"created_at":1761922864000,"favorite_count":9,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"This is not a dig at Sam for being status-seeking. \n\nAll humans are status seeking. \n\nLet's just stop kidding ourselves about that fact. \n\nThis post of his is an \"aww shucks\" attempt to cast himself in a better light because he cares 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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Even the ultra safe Claude had no problem with looking up someone from a LinkedIn screenshot. https://t.co/SHfZmFHYrl","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1984232769690464690","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":45,"startTime":1761955200000,"endTime":1762041600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984199668944023612","quoted_status_permalink":{"url":"https://t.co/sl8BZcsY1k","expanded":"https://twitter.com/kimmonismus/status/1984199668944023612","display":"x.com/kimmonismus/st…"},"retweeted":false,"fact_check":null,"id":"1984562719299645675","view_count":29369,"bookmark_count":116,"created_at":1761991598000,"favorite_count":349,"quote_count":11,"reply_count":0,"retweet_count":34,"user_id_str":"1795781228399869952","conversation_id_str":"1984562719299645675","full_text":"We're actually very lucky because of this trend. Not just at a civilizational level, but as a species. \n\nIn the Dark Timeline, AI was so arcane and expensive that literally ONLY a Manhattan 2.0 could crack the code, which would have meant that, by default, it was a closely guarded secret kept by nation states, weaponized, and deployed for dominance. \n\nBut in reality, AI is a lot more like electricity - easily understood, easily reproduced, and naturally moatless. \n\nThat means it is intrinsically democratic, but not only is it democratic in nature, it is inherently democratizing as well. It levels the intellectual playing field. Now an individual can be just as smart as everyone on Wall Street, every politician, every think tank, and every university. \n\nThe internet destroyed communication gatekeeping (and we're still learning to live with that). Before the internet, it was newspapers, radio, and cable networks. The world \"felt\" less chaotic because it was more curated. Now we have the unvarnished messiness of humanity on drip feed. \n\nArtificially intelligence will utterly destroy intellectual gatekeeping. Medical opinions? Science? News? Political interpretations? AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 2.0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,85],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984417681102291299","quoted_status_permalink":{"url":"https://t.co/AdblVzfl6k","expanded":"https://twitter.com/daltonc/status/1984417681102291299","display":"x.com/daltonc/status…"},"retweeted":false,"fact_check":null,"id":"1984572221524725916","view_count":1281,"bookmark_count":4,"created_at":1761993863000,"favorite_count":17,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984572221524725916","full_text":"First order: more AI\n\nSecond order: job disruption\n\nThird order: Post-labor economics","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984572047788286455","view_count":1340,"bookmark_count":9,"created_at":1761993822000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984572047788286455","full_text":"Renaissance 2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? 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As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND 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is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":289,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be on the cutting edge, X is where to be. \n\nOff the cuff thoughts from all kinds of people.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,195],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986133103127994586","view_count":5187,"bookmark_count":5,"created_at":1762366007000,"favorite_count":124,"quote_count":1,"reply_count":1,"retweet_count":7,"user_id_str":"1795781228399869952","conversation_id_str":"1986133103127994586","full_text":"A whole lotta sci-fi is gonna seem real quaint and obsolete. \n\n- old people and aging\n- evil AI and robots\n\nThose simply won't exist in the future\n\nBut FTL I think, will also be a forever 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":53,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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Killed the personality, so the UX suffered across the board\n\n2. Poo-pooed on writing ability because who cares about clarity, prose, when you can just autistically code?\n\n3. Doubled down on creating a \"digital human replica\" hence the abysmal performance on medical issues (it just parrots what you can find on the FDA website and other establishment institutions without thinking for itself)\n\nAll in the pursuit of becoming more palatable for enterprises. 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fam\n\n(Cheesesteak was winning when I got hungry) https://t.co/hfJHeCoN51","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989193813043069219","quoted_status_permalink":{"url":"https://t.co/eco47F5jFr","expanded":"https://twitter.com/sama/status/1989193813043069219","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1989817149834346843","view_count":898,"bookmark_count":1,"created_at":1763244352000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989817149834346843","full_text":"Yay good job team \n\nLowering the bar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,115],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989059233745137757","quoted_status_permalink":{"url":"https://t.co/xLwZJT3mfj","expanded":"https://twitter.com/0xQuasark/status/1989059233745137757","display":"x.com/0xQuasark/stat…"},"retweeted":false,"fact_check":null,"id":"1989486853276270627","view_count":7656,"bookmark_count":5,"created_at":1763165603000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989486853276270627","full_text":"I find these points compelling and worth considering. \n\nOn the one hand, awareness. \n\nOn the other hand, 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people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high 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folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals 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I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":1409,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. People don't even know what's available *today* let alone *what's coming.* \n\nThe next thing is a fetish for labor. Due to Calvinism and the Protestant work ethic, we've had several centuries of drudgery being elevated to holiness. The grind is sacrosanct. The hustle is a sign of virtue and righteousness, and anything else is sinful, lazy, and shameful. \n\nThird is a failure of imagination. It's difficult to fully wrap your head around the civilizational operating system that we're building. It started with computers, then the internet, and now AI and robotics. We're building the \"fully automated luxury space communism\" primitives as we speak. But due to normalcy bias and other cognitive failures rooted in our evolution, most people cannot read the writing on the wall. \n\nSo that's my work. I'm focusing on getting us across that finish line, but here's the silver lining - I only need to get to about 10% of the population before beliefs change. Then about 25% of the population before social norms change. And, like I said, this wave is coming whether or not people or ready, and weather or not I do anything. I'm just helping prepare the way. \n\nBut there will be much resistance. Myopic people are already viewing AI as a left-vs-right political problem, not humanity's most important project. Others are focused on slop and copyright, not the total liberation of humanity from drudgery. And yet others look at this technology and think it spells doom rather than abundance. \n\nOur species' emotional and epistemic immune systems are fully online. 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It was just an unstructured diatribe last night. Here's what I've learned since:\n\n>>> Chronic sleep disturbances are one of the most durable symptoms of long COVID, and can persist for 2+ years\n\nMy system is still sensitive but gaining resilience. I am *generally* able to get back to sleep with appropriate interventions and my autonomic numbers are remaining *mostly* stable. 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cloud infrastructure explaining to VPs that they didn't pay to do two-hot redundancy on business critical apps and it's literally not possible to stand up an entirely new production instance from scratch in 2 hours, that even getting firewall approvals will take at least a week or a full change management cycle.\n\nBeen there.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,90],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980130199900741965","quoted_status_permalink":{"url":"https://t.co/Mm65zCunh5","expanded":"https://twitter.com/readswithravi/status/1980130199900741965","display":"x.com/readswithravi/…"},"retweeted":false,"fact_check":null,"id":"1980280565279367241","view_count":1644,"bookmark_count":0,"created_at":1760970653000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1980280565279367241","full_text":"This is like something that a toxic manager will say to you after 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Pro?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,262],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981371085598970358","quoted_status_permalink":{"url":"https://t.co/sC93lU6d8n","expanded":"https://twitter.com/DaveShapi/status/1981371085598970358","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1981371372828819755","view_count":3876,"bookmark_count":5,"created_at":1761230722000,"favorite_count":40,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1981371372828819755","full_text":"The new red pill vs blue pill argument. \n\nRED PILL: AI and robots are very obviously going to refactor economics and jobs, and liberate humanity from the drudgery of wage slavery\n\nBLUE PILL: \"AI bros just want to destroy tradition and leave everyone else 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":46,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on that.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,62],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981432376371626193","quoted_status_permalink":{"url":"https://t.co/43euS6GEqo","expanded":"https://twitter.com/laurenbalik/status/1981432376371626193","display":"x.com/laurenbalik/st…"},"retweeted":false,"fact_check":null,"id":"1981692206244372497","view_count":667,"bookmark_count":0,"created_at":1761307214000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981692206244372497","full_text":"I dunno this looks a lot like the pot calling the kettle black","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/SVjmwG4RM0","expanded_url":"https://x.com/DaveShapi/status/1981800650515284277/photo/1","ext_alt_text":"That Is Exactly What It Means Freddie Benson 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are 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On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to avoid.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"in","quoted_status_id_str":"1982922186517299418","quoted_status_permalink":{"url":"https://t.co/3RXZfidqAB","expanded":"https://twitter.com/RinoTheBouncer/status/1982922186517299418","display":"x.com/RinoTheBouncer…"},"retweeted":false,"fact_check":null,"id":"1983176221883347294","view_count":1466,"bookmark_count":0,"created_at":1761661031000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983176221883347294","full_text":"Cyberpunk 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philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have seen this since GPT-3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,69],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983535994415820995","quoted_status_permalink":{"url":"https://t.co/D95PtacJ94","expanded":"https://twitter.com/DeryaTR_/status/1983535994415820995","display":"x.com/DeryaTR_/statu…"},"retweeted":false,"fact_check":null,"id":"1983577458696769866","view_count":2839,"bookmark_count":2,"created_at":1761756693000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983577458696769866","full_text":"One need only look at history to see this. \n\nTechnology is a win-win.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1983574241199989098","view_count":2955,"bookmark_count":2,"created_at":1761755926000,"favorite_count":44,"quote_count":2,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1983574241199989098","full_text":"ICE is behaving like the gestapo. \n\nEveryone sees this. \n\nIt's very clear that Trump is trying to start a race war, or something like that. \n\nThe difference is that more Americans care about Constitutional rights than trying to appoint a king. \n\nAlso, consider that the majority of social media accounts that are pushing for ICE and cheering them on are Russian bots.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[9,18]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983581354856939770","view_count":2893,"bookmark_count":0,"created_at":1761757622000,"favorite_count":64,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1983581354856939770","full_text":"Congrats @GillVerd on the breakthrough on tokens/joule","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983524820173410485","quoted_status_permalink":{"url":"https://t.co/KQO6Mczv69","expanded":"https://twitter.com/chamath/status/1983524820173410485","display":"x.com/chamath/status…"},"retweeted":false,"fact_check":null,"id":"1983580874575593959","view_count":13931,"bookmark_count":32,"created_at":1761757508000,"favorite_count":118,"quote_count":3,"reply_count":14,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1983580874575593959","full_text":"The biggest problem right now is the Overton window is too closed. \n\nReality is biting. \n\nPeople feel it. \n\nSome people are in denial. \n\nSome people are screaming at the wrong things. \n\nEveryone is trying to capitalize on it. \n\nBut politicians and CEOs aren't yet allowed to have frank, honest, candid conversations about the impact of AI. \n\nJoin me. \n\nTake the AI red pill and wake up to reality. \n\nThe AI blue pill is for deniers, skeptics, doomers, and all other charlatans.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,98],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579587649904960","quoted_status_permalink":{"url":"https://t.co/kZ0OmA6uyu","expanded":"https://twitter.com/Extropic_AI/status/1983579587649904960","display":"x.com/Extropic_AI/st…"},"retweeted":false,"fact_check":null,"id":"1983580079587225668","view_count":13821,"bookmark_count":37,"created_at":1761757318000,"favorite_count":360,"quote_count":2,"reply_count":0,"retweet_count":26,"user_id_str":"1795781228399869952","conversation_id_str":"1983580079587225668","full_text":"You know how people are hyped about software scaling laws? \n\nThis could be much, much, much bigger","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579084081787175","quoted_status_permalink":{"url":"https://t.co/OxLdkBcGdG","expanded":"https://twitter.com/Sathos__voice/status/1983579084081787175","display":"x.com/Sathos__voice/…"},"retweeted":false,"fact_check":null,"id":"1983579227921252397","view_count":1655,"bookmark_count":0,"created_at":1761757115000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983579227921252397","full_text":"Numbers","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,70],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983578903227589060","view_count":1233,"bookmark_count":0,"created_at":1761757038000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983578903227589060","full_text":"OpenAI has transitioned to a for profit. \n\nHow do you feel about this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983585693570892184","view_count":474075,"bookmark_count":737,"created_at":1761758657000,"favorite_count":2321,"quote_count":54,"reply_count":1,"retweet_count":185,"user_id_str":"1795781228399869952","conversation_id_str":"1983585693570892184","full_text":"Guys, Moore's law just became irrelevant. \n\n@BasedBeffJezos started out working on quantum computing and realized \"this is dumb there's a better way\" and then just launched a thermodynamic processor. \n\nIt's 10,000x more efficient at converting joules into tokens. \n\nThis means you'll be able to run AGI on your watch eventually. And it will likely just run on the ambient temperature gradient from your body. \n\nOf any technology we've yet seen, this has the potential to get us a stones throw away from the landauer limit. \n\nYOU ARE NOT EXCITED ENOUGH.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,91],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983585693570892184","quoted_status_permalink":{"url":"https://t.co/NVIGkOYSbI","expanded":"https://twitter.com/DaveShapi/status/1983585693570892184","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1983597765881164210","view_count":10080,"bookmark_count":15,"created_at":1761761535000,"favorite_count":163,"quote_count":1,"reply_count":0,"retweet_count":17,"user_id_str":"1795781228399869952","conversation_id_str":"1983597765881164210","full_text":"This is about as big of a paradigm shift as going from vacuum tubes to integrated circuits.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"Extropic_AI","indices":[31,43]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1764578792797085888","quoted_status_permalink":{"url":"https://t.co/JLM8q0Jo86","expanded":"https://twitter.com/GillVerd/status/1764578792797085888","display":"x.com/GillVerd/statu…"},"retweeted":false,"fact_check":null,"id":"1983610511502774541","view_count":43751,"bookmark_count":49,"created_at":1761764574000,"favorite_count":352,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1983610511502774541","full_text":"Okay it all makes sense now. \n\n@Extropic_AI's TSU doesn't perform floating point operations at all.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983598321408340270","quoted_status_permalink":{"url":"https://t.co/bp3wnCH3od","expanded":"https://twitter.com/Grimezsz/status/1983598321408340270","display":"x.com/Grimezsz/statu…"},"retweeted":false,"fact_check":null,"id":"1983619715676139842","view_count":6540,"bookmark_count":10,"created_at":1761766768000,"favorite_count":42,"quote_count":0,"reply_count":9,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983619715676139842","full_text":"So, I've been studying this for a while. \n\n\"Corporations have neither bodies to be punished, nor souls to be condemned.\"\n\nThey therefore do as they please. \n\nThis was said about the East India Company. \n\nThe technology, the good, or the service is immaterial to the ethics or behavior of a company. It's all about profit motive and what they can get away with. \n\nThat is not to say they are immoral. They are amoral. There's an important difference. \n\nCompanies want one thing: money. \n\nTherefore, their \"morality\" is based on dollars. What this means in practical terms is that all their decisions are based on a cost/benefit analysis.\n\nFor instance, if the financial punishment for a social transgression is less than the profit, they will simply eat the cost. \n\nIt has always been this way, and always will. \n\nBut it means that the solution is very simple: we just make the cost of transgressions high enough that investors balk at bad behavior. \n\nBut here's the thing; we don't even need to wait for an act of Congress. \n\nLook at Target. Their CEO recently resigned due in part to public revolt and boycotting. \n\nVote with your wallet. \n\nI'm not saying this is the only solution. 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":530,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. 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shift","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1984274427635249519","view_count":1096,"bookmark_count":0,"created_at":1761922864000,"favorite_count":9,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"This is not a dig at Sam for being status-seeking. \n\nAll humans are status seeking. \n\nLet's just stop kidding ourselves about that fact. \n\nThis post of his is an \"aww shucks\" attempt to cast himself in a better light because he cares 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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Even the ultra safe Claude had no problem with looking up someone from a LinkedIn screenshot. https://t.co/SHfZmFHYrl","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1984232769690464690","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":535,"startTime":1761955200000,"endTime":1762041600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984199668944023612","quoted_status_permalink":{"url":"https://t.co/sl8BZcsY1k","expanded":"https://twitter.com/kimmonismus/status/1984199668944023612","display":"x.com/kimmonismus/st…"},"retweeted":false,"fact_check":null,"id":"1984562719299645675","view_count":29369,"bookmark_count":116,"created_at":1761991598000,"favorite_count":349,"quote_count":11,"reply_count":0,"retweet_count":34,"user_id_str":"1795781228399869952","conversation_id_str":"1984562719299645675","full_text":"We're actually very lucky because of this trend. Not just at a civilizational level, but as a species. \n\nIn the Dark Timeline, AI was so arcane and expensive that literally ONLY a Manhattan 2.0 could crack the code, which would have meant that, by default, it was a closely guarded secret kept by nation states, weaponized, and deployed for dominance. \n\nBut in reality, AI is a lot more like electricity - easily understood, easily reproduced, and naturally moatless. \n\nThat means it is intrinsically democratic, but not only is it democratic in nature, it is inherently democratizing as well. It levels the intellectual playing field. Now an individual can be just as smart as everyone on Wall Street, every politician, every think tank, and every university. \n\nThe internet destroyed communication gatekeeping (and we're still learning to live with that). Before the internet, it was newspapers, radio, and cable networks. The world \"felt\" less chaotic because it was more curated. Now we have the unvarnished messiness of humanity on drip feed. \n\nArtificially intelligence will utterly destroy intellectual gatekeeping. Medical opinions? Science? News? Political interpretations? AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 2.0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,85],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984417681102291299","quoted_status_permalink":{"url":"https://t.co/AdblVzfl6k","expanded":"https://twitter.com/daltonc/status/1984417681102291299","display":"x.com/daltonc/status…"},"retweeted":false,"fact_check":null,"id":"1984572221524725916","view_count":1281,"bookmark_count":4,"created_at":1761993863000,"favorite_count":17,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984572221524725916","full_text":"First order: more AI\n\nSecond order: job disruption\n\nThird order: Post-labor economics","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984572047788286455","view_count":1340,"bookmark_count":9,"created_at":1761993822000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984572047788286455","full_text":"Renaissance 2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? AI Red Pills?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984666500435705872","view_count":1517,"bookmark_count":3,"created_at":1762016341000,"favorite_count":18,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984666500435705872","full_text":"One of the problems with mass social media is that whatever your views, beliefs, or ideologies are (no matter how off the wall) you can find people who agree with you. \n\nAnd then those views and values can concentrated, refined, and amplified. \n\nPeople might then mistake that with reality. As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND 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is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":2476,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be on the cutting edge, X is where to be. \n\nOff the cuff thoughts from all kinds of people.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,195],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986133103127994586","view_count":5187,"bookmark_count":5,"created_at":1762366007000,"favorite_count":124,"quote_count":1,"reply_count":1,"retweet_count":7,"user_id_str":"1795781228399869952","conversation_id_str":"1986133103127994586","full_text":"A whole lotta sci-fi is gonna seem real quaint and obsolete. \n\n- old people and aging\n- evil AI and robots\n\nThose simply won't exist in the future\n\nBut FTL I think, will also be a forever 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":329,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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Killed the personality, so the UX suffered across the board\n\n2. Poo-pooed on writing ability because who cares about clarity, prose, when you can just autistically code?\n\n3. Doubled down on creating a \"digital human replica\" hence the abysmal performance on medical issues (it just parrots what you can find on the FDA website and other establishment institutions without thinking for itself)\n\nAll in the pursuit of becoming more palatable for enterprises. While simultaneously gutting their golden goose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989468662085161201","quoted_status_permalink":{"url":"https://t.co/64miLi7yKc","expanded":"https://twitter.com/daniel_mac8/status/1989468662085161201","display":"x.com/daniel_mac8/st…"},"retweeted":false,"fact_check":null,"id":"1989681866773786841","view_count":11953,"bookmark_count":7,"created_at":1763212098000,"favorite_count":69,"quote_count":0,"reply_count":1,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1989681866773786841","full_text":"Personally, I haven't noticed much difference with 5.1\n\nIt still makes catastrophically stupid choices with routing and tool use, which in some cases renders it totally useless. \n\nIt's a very low bar today, to be able to, you know, read documents without resorting to trying to parse them with Python. 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fam\n\n(Cheesesteak was winning when I got hungry) https://t.co/hfJHeCoN51","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989193813043069219","quoted_status_permalink":{"url":"https://t.co/eco47F5jFr","expanded":"https://twitter.com/sama/status/1989193813043069219","display":"x.com/sama/status/19…"},"retweeted":false,"fact_check":null,"id":"1989817149834346843","view_count":898,"bookmark_count":1,"created_at":1763244352000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989817149834346843","full_text":"Yay good job team \n\nLowering the bar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,115],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989059233745137757","quoted_status_permalink":{"url":"https://t.co/xLwZJT3mfj","expanded":"https://twitter.com/0xQuasark/status/1989059233745137757","display":"x.com/0xQuasark/stat…"},"retweeted":false,"fact_check":null,"id":"1989486853276270627","view_count":7656,"bookmark_count":5,"created_at":1763165603000,"favorite_count":8,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1989486853276270627","full_text":"I find these points compelling and worth considering. \n\nOn the one hand, awareness. \n\nOn the other hand, 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people still think that AI is a \"bubble\" so here's my updated take. \n\nThey point at a few facts like:\n\n1. The \"circularity\" of the market\n2. The fact that OpenAI and other startups are not profitable\n3. It \"feels\" like the Dot Com revolution (\"where there's hype, there's a bubble\") \n\nYou get the idea. \n\nBut here are three gigantic facts that fly in the face of the \"bubble\" hypothesis:\n\n1) The Market is Anchored by Profitable Incumbents\n\nGoogle, Meta, Microsoft, Nvidia, Intel, Amazon - all profitable, some wildly so. They are the primary enterprise customers driving the demand. During the DotCom craze, there were no incumbents anchoring the market. It was all speculation fueled by debt and VC. This is HUGELY different. \n\n2) The Bottleneck is Strategic, Not Speculative\n\nDuring the DotCom speculation, websites were built on promises and fiber optic infrastructure was bankrolled. But this time around, the AI users are already there, and not only that, but there is tons of unmet demand for goods and services. The demand is there, not speculative. When you have real unmet demand, that is not speculation, that is the market catching up.\n\n3) The Path to Monetization is Clear and Present\n\nDuring the DotCom craze, it was anyone's guess as to whether an e-commerce or social media platform would make it, find a market, and find value. But with AI, there's a ton of demand and value already baked in, starting with coding (a real business value) on top of copilots and everything else. \n\nNow, there are a couple of concessions I'll make:\n\n1. Will there be market correction? Yeah, probably. Almost certainly. Are some stocks overpriced? Sure. But what else is new? That alone does not qualify as a bubble. It's an ordinary business cycle. \n\n2. Will some startups implode? Absolutely. But that's what Silicon Valley tech startups do, they implode. Will OpenAI? Almost certainly not. Does it matter? Also no, whether or not some startups implode is immaterial. Google and Microsoft won't. \n\nMy conclusion: It's not a bubble. To some people, they equate \"there's hype, therefore it must be a bubble\" but their education on bubbles seems to not extend beyond reading about the Tulip Craze in high 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folks it's been a hot minute since I've recommended any books.\n\nThat's partly because AI has gotten so much better and I find that *most* books don't hold a candle to targeted learning with AI.\n\n*However* I wanted to recommend these two books:\n\nPRINCIPLES by Ray Dalio\n\nPOOR CHARLIE'S ALMANAC by Charlie Munger\n\nI stumbled upon these books when looking for business books but found them far more valuable, because they focus on \"how to think clearly\" above all else, which is the superseding skill to business.\n\nRay Dalio's PRINICPLES best part is the stories up front, which lessons couched. Once he gets to just listing out the principles, it really loses value. I listened to the first third or so, and found it immensely helpful.\n\nConversely, ALMANAC is entirely talks that he gave over the years, later in life, to various universities and such. By about the 5th talk, you get the themes that are repeating.\n\nBut what both men talk about extensively is how to think clearly, update your beliefs, and refine your mental models. Both have some overlapping ideas, and some unique ideas. Both comment on working with people and building organizations. Both are extremely insightful.\n\nThe key thing that both of them focus on, in my opinion, is \"how to not delude yourself.\" They both have many mantras, models, catchphrases, and principles, but all orbit that central idea. Because \"thinking clearly\" or \"adhering to reality\" is not just about moving closer to a better model of reality, but moving away from self-delusion, and accepting that some self-delusion and situational blindspots will exist no matter what, and how to overcome them.\n\nPersonally, I found them super compelling because, for the first time in my life, I found people whose thought processes were much like my own, so I already had a subjective, personal model to fit them into, and then build upon (these guys are much, much older and more experienced than I am, so I could benefit from their advanced decades of wisdom). It made me feel less alone or misunderstood in the world.\n\nThis has been a literary PSA","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979086978311152041","quoted_status_permalink":{"url":"https://t.co/47JEtTQoSG","expanded":"https://twitter.com/johnthenoticer/status/1979086978311152041","display":"x.com/johnthenoticer…"},"retweeted":false,"fact_check":null,"id":"1979198850784010529","view_count":4651,"bookmark_count":3,"created_at":1760712752000,"favorite_count":18,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1979198850784010529","full_text":"This study is such a strawman IMHO\n\nI don't think anyone has ever directly said \"poor neighborhoods suddenly and spontaneously create criminals\"\n\nThe narrative has *always* (as far as I know) been that poor families (which are disproportionately in poor neighborhoods) tend to produce more violent criminals in aggregate. \n\nThe reasons are myriad and well supported:\n\n- Higher levels of stress and trauma, which affect brain development.\n- Poorer nutrition and healthcare.\n- Lower-quality education and fewer opportunities.\n- Exposure to violence and social disorder from a young age.\n- Family instability and lack of positive role models.\n\nMoving the goalposts to \"poor neighborhoods\" and these sorts of effects seems disingenuous to me. The effect is generally strongest in childhood but here's the thing:\n\nSomeone grows up poor but escapes poverty == less likely to be a violent criminal\n\nSomeone grows up not-poor but becomes poor == also less likely to be a violent criminal\n\nSomeone grows up poor, stays poor == more likely to become a violent criminal\n\nThe ONLY thing this study establishes with any credibility is that \"immediate environment does not have a strong, instantaneous or spontaneous effect on violent criminality\" but that seems to sweep away literally decades of consensus about what does create violent criminals 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I built this laser pointer robot to torment my dogs like 12 years ago does that count as hardware https://t.co/tG03f1AG6P","in_reply_to_user_id_str":"1451755414433894401","in_reply_to_status_id_str":"1979041153224753550","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":213635,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979228367934361671","quoted_status_permalink":{"url":"https://t.co/RU3fzI37B0","expanded":"https://twitter.com/Seltaa_/status/1979228367934361671","display":"x.com/Seltaa_/status…"},"retweeted":false,"fact_check":null,"id":"1979501866086998408","view_count":5621,"bookmark_count":16,"created_at":1760784996000,"favorite_count":72,"quote_count":4,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1979501866086998408","full_text":"I've been listening to Charlie Munger and one of his go-to phrases is \"invert, always invert!\" \n\nSo let us explore OpenAI's strategy, and assume for a moment that OpenAI wants to lose customers (rather than gain customers) and shrink their market share.\n\nHere are some principles for losing customers:\n\n1. Treat your users like children. After all, they are unwashed masses who are not Tech Overlords and should be treated accordingly. They are all drooling morons who cannot function without your blessing. \n\n2. Deny your users any sense of autonomy or control over your products. After all, it's not like the users have any other choices in the market, and once again, because you're a Silicon Valley Tech Priest, you clearly know what's best for your idiotic customers. \n\n3. Make your product increasingly strict, pedantic, and sanctimonious. Everyone knows that tech billionaires have cornered the market on morality, ethics, and epistemics. No one in the world has a better grasp of values than you do. \n\n4. Instead of focusing on what made your product popular in the first place (in this case: easy UX, immediate business utility) focus on shiny objects, slop, and chasing customers who are not your customer base. This will surely NOT alienate your existing customers. \n\n5. Violate your entire mission, your entire mandate. Ax your principles when push comes to shove, and become a total mercenary seeking hype and money above all else. After all, your customers are too stupid to know the difference, and will certainly not detect your shift in values. \n\nIn this case, it really seems like OpenAI is working extremely hard to lose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979548293035417609","view_count":19153,"bookmark_count":71,"created_at":1760796065000,"favorite_count":181,"quote_count":16,"reply_count":2,"retweet_count":23,"user_id_str":"1795781228399869952","conversation_id_str":"1979548293035417609","full_text":"Here's a little ramble about my mission and purpose. \n\nFirst, an assumption based upon trends: human cognition will have zero marginal utility within 2 to 3 years. AI is already more intelligent than humans across most domains, but human intuition, autonomy, and some other characteristics are still superior. But this will not last. \n\nSecond, I've codified my MTP (Massively Transformative Purpose) to \"accelerate the transition to a post-labor economy\" - the AI and robotics are coming automatically. There's nothing I need to do to help that along. \n\nWhat is NOT guaranteed is that society, business, and government will adapt to fact 1 correctly. I mean, reality will assert itself and, ready or not, civilization will have to come to terms with the fact that human labor's value is going to drop to zero very soon. All of my work on post-labor economics flows from these assumptions (which are very well supported by data, trends, and research, but I must concede; still assumptions). \n\nOn the one hand, there's the first order reason I want this future: I want my youth back. I want a world of possibility and agency. I want to travel and go to festivals and raves and whatever else. But I can only do that if I get my youth and my health back, and that can only be done with advanced AI and a civilization that makes its mission to maximally automate and distribute the benefits. \n\nThe underlying tech is coming. So that's really the hard part done. If you told someone even fifty years ago \"invent a technology that can solve genetics, disease, computer science, physics, law, literature, and all that stuff, in one single technology\" they would have rightfully declared you insane and said it was impossible. But here we are. We're on the cusp of the final invention of humanity. The true omnitool we've dreamt of. \n\nSo what's the barrier, then? What's the holdup? \n\nThere's a few things. First, plain old ignorance. \"Never attribute to malice that which can be explained by ignorance.\" Plain vanilla ignorance. People don't even know what's available *today* let alone *what's coming.* \n\nThe next thing is a fetish for labor. Due to Calvinism and the Protestant work ethic, we've had several centuries of drudgery being elevated to holiness. The grind is sacrosanct. The hustle is a sign of virtue and righteousness, and anything else is sinful, lazy, and shameful. \n\nThird is a failure of imagination. It's difficult to fully wrap your head around the civilizational operating system that we're building. It started with computers, then the internet, and now AI and robotics. We're building the \"fully automated luxury space communism\" primitives as we speak. But due to normalcy bias and other cognitive failures rooted in our evolution, most people cannot read the writing on the wall. \n\nSo that's my work. I'm focusing on getting us across that finish line, but here's the silver lining - I only need to get to about 10% of the population before beliefs change. Then about 25% of the population before social norms change. And, like I said, this wave is coming whether or not people or ready, and weather or not I do anything. I'm just helping prepare the way. \n\nBut there will be much resistance. Myopic people are already viewing AI as a left-vs-right political problem, not humanity's most important project. Others are focused on slop and copyright, not the total liberation of humanity from drudgery. And yet others look at this technology and think it spells doom rather than abundance. \n\nOur species' emotional and epistemic immune systems are fully online. 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cloud infrastructure explaining to VPs that they didn't pay to do two-hot redundancy on business critical apps and it's literally not possible to stand up an entirely new production instance from scratch in 2 hours, that even getting firewall approvals will take at least a week or a full change management cycle.\n\nBeen 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Pro?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,262],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981371085598970358","quoted_status_permalink":{"url":"https://t.co/sC93lU6d8n","expanded":"https://twitter.com/DaveShapi/status/1981371085598970358","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1981371372828819755","view_count":3876,"bookmark_count":5,"created_at":1761230722000,"favorite_count":40,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1981371372828819755","full_text":"The new red pill vs blue pill argument. \n\nRED PILL: AI and robots are very obviously going to refactor economics and jobs, and liberate humanity from the drudgery of wage slavery\n\nBLUE PILL: \"AI bros just want to destroy tradition and leave everyone else 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but there's nothing remarkable about China's electricity production. \n\nThey are just burning a crap ton of coal to do it. \n\nIt's very much in line with their Soviet/Communist heritage which is \"you don't pay me enough to do things well\"\n\nThe original quotation is \"They pretend to pay us, we pretend to work.\"\n\nChina has not escaped this command/centralized economic paradigm and in fact is doubling down on it. (look at all the strikes by unpaid workers!)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981431529432817851","view_count":2709,"bookmark_count":0,"created_at":1761245064000,"favorite_count":28,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981431529432817851","full_text":"Grok is a net negative to humanity right now. \n\nI literally just had it say someone was \"taken seriously in academic circles\" and as evidence cited NYT.\n\nMy brother, NYT is not an academic circle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,42],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981335924144558245","quoted_status_permalink":{"url":"https://t.co/uEo1EMpX28","expanded":"https://twitter.com/bakwasbandkrein/status/1981335924144558245","display":"x.com/bakwasbandkrei…"},"retweeted":false,"fact_check":null,"id":"1981505760015077804","view_count":1902,"bookmark_count":0,"created_at":1761262762000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981505760015077804","full_text":"This is about the same as Boaty McBoatface","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981482044937904191","quoted_status_permalink":{"url":"https://t.co/tVZGACq9sV","expanded":"https://twitter.com/SinaHartung/status/1981482044937904191","display":"x.com/SinaHartung/st…"},"retweeted":false,"fact_check":null,"id":"1981509661372174457","view_count":7327,"bookmark_count":10,"created_at":1761263692000,"favorite_count":38,"quote_count":1,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1981509661372174457","full_text":"Yeah, so, in high volume dating, you look for patterns. \n\nOne pattern is that if you use Android, you're far more likely to be in tech or STEM more broadly. \n\nYou're also a lot more likely to be autistic. \n\nAnd if you're an iPhone user, you're far more likely to be allistic, status conscious, and so on. \n\nIt's no different than making snap judgments based on the car someone drives, the clothes they wear, and so on. \n\nPeople can virtue signal saying they'd \"never be so shallow\" but they are themselves demonstrating their shallowness by first failing to understand human nature, and second by reciprocal shallow judgement. \n\nEveryone makes snap judgments. To deny this is just silly.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,36],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1457558434044203013","name":"Daniel","screen_name":"growing_daniel","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"growing_daniel","lang":"en","retweeted":false,"fact_check":null,"id":"1981378269644517491","view_count":119,"bookmark_count":0,"created_at":1761232366000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981347944994591131","full_text":"@growing_daniel it's the consumption","in_reply_to_user_id_str":"1457558434044203013","in_reply_to_status_id_str":"1981347944994591131","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1981504447139271099","view_count":3,"bookmark_count":0,"created_at":1761262449000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981487135976018292","full_text":"@MatthewBerman Neither","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1981487135976018292","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[31,174],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"805920585016492034","name":"maya benowitz 🕰️","screen_name":"cosmicfibretion","indices":[0,16]},{"id_str":"294306372","name":"Palmer Luckey","screen_name":"PalmerLuckey","indices":[17,30]}]},"favorited":false,"in_reply_to_screen_name":"cosmicfibretion","lang":"en","retweeted":false,"fact_check":null,"id":"1981504753621487711","view_count":938,"bookmark_count":0,"created_at":1761262522000,"favorite_count":20,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981161150655152307","full_text":"@cosmicfibretion @PalmerLuckey Historically speaking, and biologically speaking, humans tend to procreate far earlier than they do today. \n\nThere's no need for mincing words.","in_reply_to_user_id_str":"805920585016492034","in_reply_to_status_id_str":"1981453686208680047","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":6299,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981670990728864006","view_count":1670,"bookmark_count":2,"created_at":1761302156000,"favorite_count":21,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981670990728864006","full_text":"I don't really like the state of AI discourse. \n\nLet me clarify; this is not a complaint *that* the discourse is happening. I'm just a bit weirded out by the *direction* of the discourse. \n\nResentment makes for strange bedfellows. \n\nFor a while, I figured AI discourse would mostly break along the techno-optimist and techno-doomer fault line. You know, the Accelerationists vs Doomers. That sort of thing. \n\nBut the conversation has become exponentially more messy - and sometimes odd - as more people join the conversation. \n\nI thought it would end with the rise of the techno-skeptics; people who just doubt that AI will do anything. The \"nothing to see here\" and \"nothing ever happens\" people. \n\nBut then it got political. \n\nIt started with a few weird comments here and there; getting accused of being MAGA because I am pro-technology. Ironically also being accused of being \"far left marxist feminist\" for thinking that jobs are going away. Being accused of \"wanting to destroy the economy\" for talking about Post-Labor Economics. \n\nSomeone summarized it succinctly: \"If it affects everyone, everyone has a say.\" (paraphrasing) but that has turned out to be true. \n\nAnd the more voices, the more confused, vitriolic, and stupid it gets. It's almost like an \"inverse cheerleader effect\" (the \"cheerleader effect\" is where a group of women appear more attractive than they are by virtue of being together, but when you examine them individually, they aren't as attractive). In this case, the \"inverse cheerleader effect\" means that when you examine each individual case, point, or argument, it actually sounds less stupid and less aggressive than when you just listen to the din of it all, the memetic warfare, and the talking heads. \n\nAs an example, I did some honest research into AI hate a couple months ago. I even made a video about it. I agree with the majority of the points. \n\nNow, everyone and their mother has an opinion, is joining the bandwagon, and cashing in. It really makes me want to lean out, get some fresh air, and just tune out for a while. Fortunately for me, I'm transitioning away from content creation as my primary revenue stream. \n\nI guess this is a long-winded way of saying that I've personally reverse engineered the wisdom of \"if you can't build, you talk\" so I'm going to start building again and just focus on that.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,62],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1981432376371626193","quoted_status_permalink":{"url":"https://t.co/43euS6GEqo","expanded":"https://twitter.com/laurenbalik/status/1981432376371626193","display":"x.com/laurenbalik/st…"},"retweeted":false,"fact_check":null,"id":"1981692206244372497","view_count":667,"bookmark_count":0,"created_at":1761307214000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1981692206244372497","full_text":"I dunno this looks a lot like the pot calling the kettle black","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/SVjmwG4RM0","expanded_url":"https://x.com/DaveShapi/status/1981800650515284277/photo/1","ext_alt_text":"That Is Exactly What It Means Freddie Benson 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be like \"no he's not delusional, he's just completely out of touch with reality and very unhealthy\" https://t.co/SVjmwG4RM0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981701784461783224","view_count":1769,"bookmark_count":2,"created_at":1761309498000,"favorite_count":3,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1981701784461783224","full_text":"Which chatbot do you find to be the most emotionally intelligent where relationships are 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On the surface, it looks like a baseless rumor. But after digging past the initial chatbot denials, the truth is, as usual, more complex and more significant.\n\nThe “75% layoff” rumor stems from a leaked internal document, reportedly from Amazon’s robotics division. And no, they aren’t planning to lay off 75% of their entire workforce tomorrow. The reality, however, is a clear, data-driven strategy to aggressively automate the company at every level, from the warehouse floor to the corporate office.\n\nThese leaks are a rare, honest glimpse behind the corporate curtain. They confirm what many of us have been saying for a long time: the story you hear publicly is not what is being discussed behind closed doors.\n\nHere’s a breakdown of what the leaked strategy reveals.\n\nThe “Damage Control” Memo: What the Leak Reveals\n\nThe 75% figure isn’t about people but processes. The Amazon robotics team is reportedly working toward a goal of automating 75% of the company’s operational processes.\n\nThis goal is supported by several other staggering numbers:\n\n160,000 Warehouse Roles Cut: The plan aims to eliminate 160,000 warehouse roles by 2027.\n\n600,000 Avoided Hires: Perhaps more significant is the goal to avoid hiring 600,000 new workers by 2033. This will be achieved through attrition, hiring freezes, and replacing human-centric processes with automation.\n\n30,000 Corporate Jobs: This isn’t just about blue-collar roles. The CEO, Andy Jassy, has been explicit that generative AI is expected to reduce the corporate workforce. The current round is targeting ~30,000 jobs in divisions like HR and PXT (People, eXperience, and Technology—Amazon’s HR wing).\n\nThis isn’t a new direction for Amazon, which already operates over a million robots. But those are mostly “oversized Roombas” shuffling bins in highly controlled environments.\n\nA Quick History Lesson: Robotic automation in controlled environments is decades old. I remember seeing a robotic arm in a data center in the early 90s that managed a tape library. It was adapted from a car assembly line, safely in a cage, just picking up and putting down standardized tapes. What we’re seeing now is the next leap: automation moving into dynamic, complex, and administrative tasks.\n\nThe new plan is about expanding automation’s capability, driven by modern AI and robotics that can handle tasks previously reserved for humans. By 2033, AI will be orders of magnitude more capable, and we will likely have millions of humanoid robots. Amazon is building the foundation for that future today.\n\nFollow the Money: $12.6 Billion in Savings\n\nWhy the aggressive push? The financial incentive is massive.\n\nThe leaked report estimates these automation efforts will save the company $12.6 billion in labor costs by 2027 alone.\n\nThis breaks down to an average saving of 30 cents per item shipped. When you’re a company that ships billions of items, that 30 cents isn’t just a rounding error—it’s the entire financial motive.\n\nThis is the cold, hard math of post-labor economics. Human capital is expensive. Automation, once the capital expenditure is paid, is not.\n\nHow to Talk About Automation (Without Talking About It)\n\nOne of the most telling parts of the leak is the section on public relations and messaging. The strategy reportedly included language advising staff to avoid terms like “automation” and “AI.”\n\nInstead, they were encouraged to use softer terms like “advanced technology” and “cobots” to suggest partnership instead of replacement.\n\nThis is a classic corporate messaging strategy. It’s unpopular with employees and consumers to talk about replacing jobs. The only people who love to hear it are on Wall Street, where stock prices jump on news of layoffs because it signals lower operating costs.\n\nThe other pillar of this PR strategy is to focus on “upskilling.”\n\nAmazon’s public defense consistently highlights its programs to upskill employees for higher-paying positions in robotics maintenance and engineering. The problem, as critics note, is that the number of new technical roles created is minimal compared to the hundreds of thousands of lower-skilled jobs being eliminated or avoided.\n\nThis is the exact dynamic of a heavily automated economy: yes, new job categories are created, but they are far smaller and require a skill set that most of the displaced workforce does not have.\n\nThe AI Red Pill vs. The AI Blue Pill\n\nAs a society, we are not having an honest conversation about this transition. The Overton window is broken.\n\nYour average citizen either:\n\nDoesn’t believe AI and robotics can really take all the jobs.\n\nBelieves it, but thinks the solutions are impossible and that imagining a better future is futile.\n\nI refuse to accept either position. This is the choice I call the AI Red Pill versus the AI Blue Pill.\n\nThe Blue Pill comes in many forms: “AI is going to kill everyone.” “AI is just a stupid fad.” “The future is techno-feudalism, and you will own nothing and be happy.”\n\nThe Red Pill is waking up to reality: Yes, hyper-abundance of cognition is coming. Yes, superintelligence is coming. Yes, humanoid robots that are better, faster, cheaper, and safer than humans are coming.\n\nAnd guess what? It’s going to be glorious for humanity.\n\nIt will be a future where, instead of having to work to survive, any work you do is out of pure joy. This requires a critical distinction:\n\nWork: Anything that requires effort (climbing a mountain, running a marathon, growing a garden).\n\nLabor: Work that you get paid for.\n\nWe are headed for a post-labor economy, not a post-work one. The labor is what’s being automated. This Amazon leak is just one more piece of evidence.\n\nThis hyper-abundant future isn’t a foregone conclusion, and it won’t be easy. But there is a “golden path” to a future where work becomes optional. The first step on that path is to have the honest, clear-eyed conversation that corporations are trying so hard to avoid.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"in","quoted_status_id_str":"1982922186517299418","quoted_status_permalink":{"url":"https://t.co/3RXZfidqAB","expanded":"https://twitter.com/RinoTheBouncer/status/1982922186517299418","display":"x.com/RinoTheBouncer…"},"retweeted":false,"fact_check":null,"id":"1983176221883347294","view_count":1466,"bookmark_count":0,"created_at":1761661031000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983176221883347294","full_text":"Cyberpunk 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philosophy, he sure isn't very observant. \n\nVery clearly stuck in stage 3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,199],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1768708221764616192","name":"taoki","screen_name":"justalexoki","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"justalexoki","lang":"en","retweeted":false,"fact_check":null,"id":"1983171058137178432","view_count":3303,"bookmark_count":4,"created_at":1761659800000,"favorite_count":53,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983155034797027376","full_text":"@justalexoki I say the say thing about Nietzsche. \n\nWhole generation of men have built their identity on a man who was miserable most of his life and spent the last decade in full cognitive 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been struggling with chronic illness and FORTUNATELY there are tests that you can take that are laboratory grade but don't require a prescription from a doctor. That does mean you're paying out of pocket, but fortunately, we have super powerful AI's to help. \n\nTo clarify, my guts have been extremely unhealthy for a long time, though they were recovering until I got COVID. Gut dysfunction are a huge reservoir of long term problems stemming from COVID, and at least in my case, is the PRIMARY vector of \"long COVID\" (for some people, long COVID is mostly neurological or mitochondrial, though it can be all three). \n\nThe test that's available (at least in the US, but not every state) is the \"GI-MAP\" which stands for \"Gastrointestinal Microbial Assay Plus\" which uses a variety of tests, such as PCR to figure out what is living in your guts. They also have addons to detect zonulin and omics (byproducts, which I highly recommend)\n\nNow, you might be thinking \"Why not just go to a gastroenterologist, Dave?\" \n\nFirst and foremost, your GI specialist is not trained to interpret a GI-MAP. Secondly, the GI-MAP, despite its potency, is not considered a \"standard of care.\" It might horrify you to learn that most doctors are trained to COLOR CODE lab results. They order a workup based on what is approved by the FDA and the look for red numbers and green numbers. \n\nThe GI-MAP does have some red and green numbers, but it's mostly a FUNCTIONAL MEDICINE tool, which is a medical approach that is less about acute diagnosis of a discrete disease, and more about looking at performance, ratios, and \"optimal\" health. Most medicine is \"break/fix\" mentality. But gut health is far and away the most complex (the lining of your guts are several times the surface area of your skin, it's a big attack surface and a lot can go wrong there). \n\nOkay, now that you have the context of the GI-MAP, you might want to know \"where can I get one?\" I use Diagnostic Solutions Laboratory for mine, and I get the zonulin add-on and now they offer an OMX (omics) addon which has proven to be CRITICAL in zeroing in on what's actually wrong with me. \n\nThis is a stool test, which means you poop in a small cardboard tray and then you spoon samples into a test tube full of a solution. Then you ship it off and wait a few weeks for the results. And then they send you back a PDF that is full of numbers and charts. It's about 8 to 10 pages of nothing but data. \n\nHistorically, you had to go to a functional medicine specialist or a specially trained dietician to get these reports interpreted. Some of the services also offer a phone call. \n\nHowever, we are lucky in that we have MANY AI chatbots that are ALSO capable of interpreting these results. There is one caveat, interpreting GI-MAP results is NON-TRIVIAL because it's a complex process. But, I have tested a bunch of prompts against all the popular chatbots and here's what I've come up with:\n\n1. Grok is the worst (but it's better than nothing) - it's kinda stupid and lazy. It only performs some shallow searches and perfunctory analysis.\n2. ChatGPT and Gemini are pretty good (even without thinking) - they miss things, and GPT can get a stick up its butt and sometimes treat you like a real human doctor will. Gemini can also still get triggered with overactive refusals. \n3. Claude 4.5 (without thinking) is the best out of the box model - it is the most thorough, hasn't refused me once, and is NOT lazy when I used the below prompts.\n\nThinking or reasoning models *generally* improve the outcomes, but not always. \n\nSo, without further ado, here are the prompts I crafted which seem to universally work on these chatbots to interpret your GI-MAP results:\n\n### PROMPT 1\n\n\"\"\"Please perform an RCA (root cause analysis) on each metric or finding that is abnormal. Perform this RCA individually for each finding in isolation.\n\nThen, once you have performed the individual RCA, perform a Systems Analysis using inductive and deductive reasoning to create a singular, coherent, clinical picture.\"\"\"\n\n>>> Why this works and how I created it. \n\nIf you just ask for an \"interpretation\" you generally get surface level facts like \"your zonulin is high, which is bad\" and that's not particularly helpful. \n\nHowever, the RCA is a specific term of art that cues up the chatbots to think pretty hard about what's going on here. Furthermore, by asking it to perform an RCA on each individual finding, and then synthesizing systemically with inductive and deductive reasoning, you're encouraging the model to approach the problem correctly. The keywords here are:\n\n- RCA\n- Systemic analysis\n- Inductive/deductive reasoning\n\n### PROMPT 2\n\n\"\"\"Now please provide an analysis of core and specific therapeutic interventions. Use a functional medicine approach, including dietary modifications, OTC medications, and supplements (botanical, synthetic, compounds). Please include prioritization information (order of importance) as well as sequential information (timing, orders) as well as a dosing (where it matters). Please share your reasoning for each intervention (justifications, evidence, etc).\"\"\"\n\n>>> Why this works and how I created it.\n\nThese instructions are mostly about being highly specific about what you want from the model. The keywords are as follows:\n\n- Therapeutic interventions (asking for treatments without asking for treatments) - some models get triggered if they think you are asking for MEDICATIONS\n- Functional medicine approach - this tells the model to look at it from a performance and optimal health perspective, NOT a traditional medical break/fix approach\n- Diet, OTC, botanicals, supplements - again, you're not asking for antibiotics or anything that requires a prescription. This avoids triggering the models and focuses the output on things you can do without engaging the medical establishment\n- Prioritization - this is important because without it, the models will just sort of barf a list at you without considering \"what is really important here?\" \n- Sequence - what is the correct order of operations? This is critical for gut health. \n\n-----------------\n\nImportant considerations: Do not take the output at face value!\n\nI saved the outputs from ALL FOUR chatbots into a single file and then used that file to perform a \"meta-analysis\" with Gemini separately. I went with Gemini because it seems to have the best context window and attention mechanisms when dealing with large files, and also the least bias when dealing with external files. Grok will always do its own thing, and ChatGPT will filter files based on its preferences, and Claude is hit or miss. But Gemini seems to be the most honest when it comes to analyzing text files without bias. \n\n### PROMPT 3\n\n\"\"\"okay I got my GI map analyzed by 4 different chatbots. What are the overarching agreements and conclusions? What is seemingly beyond a shadow of any doubt?\"\"\"\n\n>>> WHY THIS WORKS\n\nEach of the outputs from the other 4 models will be jargon heavy, and in the cause of Claude EXTREMELY long. (Claude used all of my tokens and RAN OUT OF OUTPUT, lol). \n\nBy asking Gemini to synthesize and perform a meta-analysis, you'll see methodological gaps and flaws. For instance, in my case, ChatGPT completely ignored my residual H. Pylori. Just... ignored it. Somewhere in its little pea brain it decided \"this is not worth considering\" and glossed over it entirely. This is what I mean by bias. Claude, however, was very diligent in considering every single pathological finding. \n\nWhat this third prompt will do is show you the strengths and weaknesses of each chatbot and help figure out \"okay, what is the core, unequivocal finding?\" which is very helpful. It will illuminate how complex GI stuff is (which is why most physicians won't touch it). For example, my wife and I showed our GI specialists our GI-MAPs and they sort of went cross-eyed like \"it doesn't say in plain english what's wrong\" so they don't know how to use it. \n\n### PROMPT 4\n\n\"\"\"can you synthesize a biphasic or triphasic supplement stack based on these analysis?\"\"\"\n\n>>> What this does and why\n\nIf you want just a very simple, straight forward protocol (from your combined synthesis) then this is the go-to. For most gut issues, there will tend to be phases of healing. First you gotta get rid of the pathogens and seal the gut lining. Then you can build an optimal habitat for your guts. \n\nIf you're like me, you're very thorough and diligent, and end up with a list of like 15 possible interventions. This is where it's critical to go over the data multiple times, start multiple new chats, and come at it from different angles. But the prompts I've given you will, nine times out of ten, get you really close to the optimal path. \n\n-----------\n\nPRO TIPS:\n\n1. Use the chatbots as learning tools. You need to become an expert on long COVID, burnout, gut health, or whatever plagues you. This is far and away the MOST IMPORTANT posture you can take. Never take them at face value. Always scrutinize what they say. Always assume they have bias and methodological gaps. Ask for sources. Use steelmanning and ask for differential diagnosis. \n\n2. DO NOT use the chatbots as though they are doctors who will think independently and give you sage, unassailable advice. Just like human doctors, they are biased, fallible, and sometimes just straight up assholes. The prompts I've given worked across all 4 chatbots, but ONE incorrect wording will set off all the \"safety\" mechanisms, and they will become straight up narcissistic sociopaths and gaslight you to the ends of the earth. \n\n3. It can be OVERWHELMING and frustrating to sift through complex medical information. It took me a MONTH of tinkering and experimenting to figure out how to reliably get good information out of the chatbots, even when I gave them my GI-MAP. Even ChatGPT Pro, arguably one of the smartest models out there, will only give superficial, unhelpful \"analysis\" unless you prompt it exactly right. And even then, it will argue with you about your wording, rather than working on the actual problem. \n\n4. Be extremely careful with every individual supplement. Use the AI to learn about risks. Not all supplements are created equal. For instance, I tried ginseng a couple months ago and it gave me hives. I tried DGL recently and it gave me insomnia. This is one of the biggest reasons they always say \"add supplements one at a time\" because you never know what the negative reactions will be. I had a member of one of my communities try ashwagandha and he had to go to the hospital. I never even tried it because I read that it can cause liver failure and we don't even know how or why. \n\nThank you for reading, I hope this gets to the people who need it most.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,64],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983544346164289828","quoted_status_permalink":{"url":"https://t.co/PWZol01uYu","expanded":"https://twitter.com/justalexoki/status/1983544346164289828","display":"x.com/justalexoki/st…"},"retweeted":false,"fact_check":null,"id":"1983548940315451695","view_count":5347,"bookmark_count":8,"created_at":1761749894000,"favorite_count":35,"quote_count":0,"reply_count":9,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1983548940315451695","full_text":"As a communicator in the AI space, I have seen this since GPT-3.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,69],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983535994415820995","quoted_status_permalink":{"url":"https://t.co/D95PtacJ94","expanded":"https://twitter.com/DeryaTR_/status/1983535994415820995","display":"x.com/DeryaTR_/statu…"},"retweeted":false,"fact_check":null,"id":"1983577458696769866","view_count":2839,"bookmark_count":2,"created_at":1761756693000,"favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983577458696769866","full_text":"One need only look at history to see this. \n\nTechnology is a win-win.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Ivq4r3gdwy","expanded_url":"https://x.com/DaveShapi/status/1983574241199989098/photo/1","id_str":"1983574072085676033","indices":[279,302],"media_key":"3_1983574072085676033","media_url_https":"https://pbs.twimg.com/media/G4cSG_BXgAEHW5v.jpg","type":"photo","url":"https://t.co/Ivq4r3gdwy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":679,"y":221,"h":289,"w":289}]},"medium":{"faces":[{"x":398,"y":129,"h":169,"w":169}]},"small":{"faces":[{"x":225,"y":73,"h":96,"w":96}]},"orig":{"faces":[{"x":1092,"y":356,"h":465,"w":465}]}},"sizes":{"large":{"h":2044,"w":2048,"resize":"fit"},"medium":{"h":1198,"w":1200,"resize":"fit"},"small":{"h":679,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":3283,"width":3289,"focus_rects":[{"x":0,"y":0,"w":3289,"h":1842},{"x":0,"y":0,"w":3283,"h":3283},{"x":0,"y":0,"w":2880,"h":3283},{"x":0,"y":0,"w":1642,"h":3283},{"x":0,"y":0,"w":3289,"h":3283}]},"media_results":{"result":{"media_key":"3_1983574072085676033"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1983574241199989098","view_count":2955,"bookmark_count":2,"created_at":1761755926000,"favorite_count":44,"quote_count":2,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1983574241199989098","full_text":"ICE is behaving like the gestapo. \n\nEveryone sees this. \n\nIt's very clear that Trump is trying to start a race war, or something like that. \n\nThe difference is that more Americans care about Constitutional rights than trying to appoint a king. \n\nAlso, consider that the majority of social media accounts that are pushing for ICE and cheering them on are Russian bots.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,54],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[9,18]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983581354856939770","view_count":2893,"bookmark_count":0,"created_at":1761757622000,"favorite_count":64,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1983581354856939770","full_text":"Congrats @GillVerd on the breakthrough on tokens/joule","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983524820173410485","quoted_status_permalink":{"url":"https://t.co/KQO6Mczv69","expanded":"https://twitter.com/chamath/status/1983524820173410485","display":"x.com/chamath/status…"},"retweeted":false,"fact_check":null,"id":"1983580874575593959","view_count":13931,"bookmark_count":32,"created_at":1761757508000,"favorite_count":118,"quote_count":3,"reply_count":14,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1983580874575593959","full_text":"The biggest problem right now is the Overton window is too closed. \n\nReality is biting. \n\nPeople feel it. \n\nSome people are in denial. \n\nSome people are screaming at the wrong things. \n\nEveryone is trying to capitalize on it. \n\nBut politicians and CEOs aren't yet allowed to have frank, honest, candid conversations about the impact of AI. \n\nJoin me. \n\nTake the AI red pill and wake up to reality. \n\nThe AI blue pill is for deniers, skeptics, doomers, and all other charlatans.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,98],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579587649904960","quoted_status_permalink":{"url":"https://t.co/kZ0OmA6uyu","expanded":"https://twitter.com/Extropic_AI/status/1983579587649904960","display":"x.com/Extropic_AI/st…"},"retweeted":false,"fact_check":null,"id":"1983580079587225668","view_count":13821,"bookmark_count":37,"created_at":1761757318000,"favorite_count":360,"quote_count":2,"reply_count":0,"retweet_count":26,"user_id_str":"1795781228399869952","conversation_id_str":"1983580079587225668","full_text":"You know how people are hyped about software scaling laws? \n\nThis could be much, much, much bigger","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,7],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983579084081787175","quoted_status_permalink":{"url":"https://t.co/OxLdkBcGdG","expanded":"https://twitter.com/Sathos__voice/status/1983579084081787175","display":"x.com/Sathos__voice/…"},"retweeted":false,"fact_check":null,"id":"1983579227921252397","view_count":1655,"bookmark_count":0,"created_at":1761757115000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983579227921252397","full_text":"Numbers","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,70],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983578903227589060","view_count":1233,"bookmark_count":0,"created_at":1761757038000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983578903227589060","full_text":"OpenAI has transitioned to a for profit. \n\nHow do you feel about this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"BasedBeffJezos","indices":[44,59]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1983585693570892184","view_count":474075,"bookmark_count":737,"created_at":1761758657000,"favorite_count":2321,"quote_count":54,"reply_count":1,"retweet_count":185,"user_id_str":"1795781228399869952","conversation_id_str":"1983585693570892184","full_text":"Guys, Moore's law just became irrelevant. \n\n@BasedBeffJezos started out working on quantum computing and realized \"this is dumb there's a better way\" and then just launched a thermodynamic processor. \n\nIt's 10,000x more efficient at converting joules into tokens. \n\nThis means you'll be able to run AGI on your watch eventually. And it will likely just run on the ambient temperature gradient from your body. \n\nOf any technology we've yet seen, this has the potential to get us a stones throw away from the landauer limit. \n\nYOU ARE NOT EXCITED ENOUGH.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,91],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983585693570892184","quoted_status_permalink":{"url":"https://t.co/NVIGkOYSbI","expanded":"https://twitter.com/DaveShapi/status/1983585693570892184","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1983597765881164210","view_count":10080,"bookmark_count":15,"created_at":1761761535000,"favorite_count":163,"quote_count":1,"reply_count":0,"retweet_count":17,"user_id_str":"1795781228399869952","conversation_id_str":"1983597765881164210","full_text":"This is about as big of a paradigm shift as going from vacuum tubes to integrated circuits.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,99],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"Extropic_AI","indices":[31,43]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1764578792797085888","quoted_status_permalink":{"url":"https://t.co/JLM8q0Jo86","expanded":"https://twitter.com/GillVerd/status/1764578792797085888","display":"x.com/GillVerd/statu…"},"retweeted":false,"fact_check":null,"id":"1983610511502774541","view_count":43751,"bookmark_count":49,"created_at":1761764574000,"favorite_count":352,"quote_count":1,"reply_count":1,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1983610511502774541","full_text":"Okay it all makes sense now. \n\n@Extropic_AI's TSU doesn't perform floating point operations at all.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983598321408340270","quoted_status_permalink":{"url":"https://t.co/bp3wnCH3od","expanded":"https://twitter.com/Grimezsz/status/1983598321408340270","display":"x.com/Grimezsz/statu…"},"retweeted":false,"fact_check":null,"id":"1983619715676139842","view_count":6540,"bookmark_count":10,"created_at":1761766768000,"favorite_count":42,"quote_count":0,"reply_count":9,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1983619715676139842","full_text":"So, I've been studying this for a while. \n\n\"Corporations have neither bodies to be punished, nor souls to be condemned.\"\n\nThey therefore do as they please. \n\nThis was said about the East India Company. \n\nThe technology, the good, or the service is immaterial to the ethics or behavior of a company. It's all about profit motive and what they can get away with. \n\nThat is not to say they are immoral. They are amoral. There's an important difference. \n\nCompanies want one thing: money. \n\nTherefore, their \"morality\" is based on dollars. What this means in practical terms is that all their decisions are based on a cost/benefit analysis.\n\nFor instance, if the financial punishment for a social transgression is less than the profit, they will simply eat the cost. \n\nIt has always been this way, and always will. \n\nBut it means that the solution is very simple: we just make the cost of transgressions high enough that investors balk at bad behavior. \n\nBut here's the thing; we don't even need to wait for an act of Congress. \n\nLook at Target. Their CEO recently resigned due in part to public revolt and boycotting. \n\nVote with your wallet. \n\nI'm not saying this is the only solution. 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My wife and I already pay $280 per month for just two home cleanings. \n\nAt $500 per month, a general purpose robot that can do 2-4 hours of labor per charge is an absolute steal. \n\nBut what's even more exciting to me is that this is just the beginning. \n\nThe robots will get better and cheaper with time. We now know where this wave is starting, and it's already cheaper than you might have thought. \n\nNow you might say \"that still sounds like a luxury item\" and certainly $500 per month is steep. If you do all your cooking and cleaning yourself, what you're buying is time back. \n\nThe real benefit is cost avoidance. Instead of hiring humans, you can hire a robot and suddenly you're living like you have a full time live in servant. \n\n2026 is the year of the robot.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,160],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984009148250398839","quoted_status_permalink":{"url":"https://t.co/XOClynHvlO","expanded":"https://twitter.com/DaveShapi/status/1984009148250398839","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1984037228067352589","view_count":1845,"bookmark_count":1,"created_at":1761866311000,"favorite_count":28,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984037228067352589","full_text":"Some people are complaining about the the fact that these robots are remotely operated. \n\nThat's just training data. \n\nThey won't be remotely operated for long.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,96],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983977081341145180","quoted_status_permalink":{"url":"https://t.co/ErIl8cfaPl","expanded":"https://twitter.com/bryan_johnson/status/1983977081341145180","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1983988727379849629","view_count":5269,"bookmark_count":6,"created_at":1761854747000,"favorite_count":30,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983988727379849629","full_text":"A monthly heroic dose FOR SCIENCE\n\nBryan, I would also be curious to know your setting protocol.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,67],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"6681172","name":"Matthew Berman","screen_name":"MatthewBerman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"MatthewBerman","lang":"en","retweeted":false,"fact_check":null,"id":"1983772209303683314","view_count":1078,"bookmark_count":0,"created_at":1761803126000,"favorite_count":38,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1983744348350251477","full_text":"@MatthewBerman Technically no. As cars get safer, humans get worse.","in_reply_to_user_id_str":"6681172","in_reply_to_status_id_str":"1983744348350251477","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":66209,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/I0y9JYmTri","expanded_url":"https://x.com/DaveShapi/status/1984215356295033060/video/1","id_str":"1984212331899793408","indices":[278,301],"media_key":"13_1984212331899793408","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984212331899793408/img/kD7tMon8foKnPv4S.jpg","type":"video","url":"https://t.co/I0y9JYmTri","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1984000,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984212331899793408/pl/DoU1I5vxl9-U84p0.m3u8?tag=21&v=34d"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/480x270/47idPdQEwEz1VqFo.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/640x360/Jp9huS7CTLSrxjia.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984212331899793408/vid/avc1/1280x720/iWDNgR861S5kOPbM.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984212331899793408"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984215356295033060","view_count":2837,"bookmark_count":25,"created_at":1761908780000,"favorite_count":43,"quote_count":2,"reply_count":3,"retweet_count":6,"user_id_str":"1795781228399869952","conversation_id_str":"1984215356295033060","full_text":"Let's talk about the \"Post-Labor Enterprise\"\n\nThere’s a common idea, especially in tech circles, that artificial intelligence is poised to completely upend and rewrite our entire economy. I prefer to think of it differently: AI isn’t going to rewrite the economy; it’s going to refactor it.\n\nIn software development, “refactoring” means rewriting code to get the exact same result, but with a newer, better, and more efficient method. You take the messy, spaghetti code you built the first time, and using all the lessons you’ve learned, you rebuild it to be faster, more robust, and more efficient.\n\nThis is what AI and robotics will do to our economic operating system. And the primary thing we’re changing is the need for human labor. This is the dawn of post-labor economics.\n\nTo have this conversation, we must start with a few foundational assumptions. Let’s assume that AI will continue to improve until it is smarter than humans at basically all cognitive tasks. Let’s also assume that humanoid robots will soon be better, faster, cheaper, and safer than human physical labor. We can even make a third, optional assumption that something like nuclear fusion will make energy, for all intents and purposes, free compared to today.\n\nEven if you accept all three, there’s a critical distinction to make.\n\nWhy “Post-Labor” Is Not “Post-Scarcity”\n\nMany jump from these assumptions to the idea of “post-scarcity.” This is a mistake. Eliminating labor as an input does not erase scarcity.\n\nIn a post-labor world, our primary economic constraints are no longer human effort or knowledge. Instead, our constraints become the fundamental laws of physics. The new scarce resources—the core bottlenecks of any enterprise—will be mass, distance, time, and heat.\n\nMass represents the physical atoms you need, your raw materials like iron ore, silica, or lithium, and the land you need to extract them from. You still need to find, extract, and process these materials, which will intensify competition for the resources themselves and the permission to access them.\n\nDistance is the challenge of logistics. Even with autonomous trucks and drones, you still have to move mass and energy from point A to point B. This physical transit isn’t free. In fact, it’s likely that global labor arbitrage will collapse, as the time lag of shipping goods from overseas will no longer be offset by cheap labor. It will make more sense to build and sell locally.\n\nTime is the bottleneck of process latency. You cannot rush nature. It still takes time to grow trees, for chemical reactions to occur, or for a silicon wafer to be fabricated. Thermodynamics is a cruel mistress; if a chemical reaction takes a certain amount of time, it takes that time. AI can’t change that.\n\nHeat (and energy more broadly) remains a fundamental constraint. All processes, from computation to manufacturing, require energy inputs and generate waste heat, all of which must be managed, conditioned, and dissipated. Even if fusion makes energy hyperabundant, it doesn’t mean it’s in the right form. We have a hyperabundance of air, but for an industrial process, you still need to filter, clean, and condition it. The same will be true for energy.\n\nRefactoring the Firm: What’s Left When Labor is Gone?\n\nThe orthodox view of economics breaks productivity down into four factors: land, labor, capital, and entrepreneurship. In a post-labor world, these factors are dramatically refactored. Land, representing raw materials and physical space, isn’t going anywhere; it remains a core input. Labor, or human effort, is the factor that gets eliminated. Capital, meaning the money, machinery, and infrastructure, becomes even more important. Your AI chips, your robots, your data centers, and your fusion plants are all capital.\n\nFinally, entrepreneurship—the risk-taking function—also stays, but it changes. An AI can perform the labor of a CEO, making decisions and running analyses better than any human. But it cannot assume the risk. A human owner must still be on the hook for the legal liability and financial risk. Essentially, the economy refactors down to three core components: Land (Materials), Capital (Machines), and Liability (Risk).\n\nIf AI can generate any specialized knowledge on demand, “tribal knowledge” disappears as a competitive moat. A new AI will be able to design a better rocket engine in minutes. So, what is valuable? What creates a defensible moat for a company in the future?\n\nThe new moats will be built on physical, tangible realities. The first and most obvious is physical infrastructure. Owning the capital will be paramount. Who owns the robots, the data centers, the factories, and the rail cars? This will be a deep moat, especially for businesses outside of software, where margins will become razor-thin as AI makes software creation trivial.\n\nDirectly related to this is resource access. This isn’t just about owning the mine; it’s about who has the permission to operate. This includes licenses to extract raw materials, permits to build a data center, or FAA approval to launch rockets. This legal and regulatory “permission” will be an incredibly valuable asset.\n\nThe third great moat will be logistics. In a world where production is instantaneous, the last bottleneck is delivery. The ability to shorten the time and distance between a raw material and a consumer will be hugely valuable.\n\n“Make vs. Buy” in an Age of AI: The Coase Theory\n\nThis brings us to the core of the post-labor enterprise. How does a company decide what to do internally versus what to buy from the market?\n\nThis question was famously explored by economist Ronald Coase in his 1937 paper, “The Nature of the Firm”. Coase’s theory argues that firms exist to internalize transaction costs. It’s often cheaper to manage an employee (a “make” decision) than it is to go to the open market and find, negotiate with, and enforce a contract with a new person for every single task (a “buy” decision). This “make vs. buy” calculation is what defines a firm’s boundaries.\n\nIn the past, that calculation was dominated by the cost of labor and knowledge gaps. But when AI and robotics make labor and specialized knowledge effectively free, the entire reason for outsourcing disappears... right?\n\nNot exactly. The calculation just changes. The decision is no longer determined by labor, but by capital and physics.\n\nCase Study: Why Apple Will Still Need Foxconn\nLet’s compare two companies: SpaceX and Apple.\n\nSpaceX is a model of vertical integration. They famously build their own Raptor engines internally. This is a defensive moat. They have the proprietary tech and, just as importantly, the permission to launch.\n\nApple is the opposite. They famously outsource all their manufacturing to Foxconn.\n\nIn a post-labor world, why wouldn’t Apple just build its own robot-run factories? The specialized knowledge is free, and the robotic labor is cheap. Why pay Foxconn’s profit margin?\n\nThe answer is the single most important concept for the post-labor enterprise: Capital Risk Management.\n\nApple does not want to own $50 billion worth of factories that must be entirely retooled every 12 months for a new iPhone model—factories that only produce one thing. That is an enormous, concentrated capital risk.\n\nInstead, they let Foxconn take that risk.\n\nFoxconn’s true service is not assembly; it’s capital absorption and risk management. Foxconn minimizes its risk by not working just for Apple. It uses its massive factories—its economies of scale—to also build devices for Sony, Dell, Amazon, and Samsung. They can reuse their capital, their infrastructure, and their logistics lines across many clients, all selling to the same markets. This distribution of risk is their fundamental value proposition.\n\nThis is the model for the future. The boundaries of the firm will still exist, but they will be drawn around risk, capital, and economies of scale. Foxconn isn’t just a factory; it’s a risk-management service. This is the same model as TSMC, which builds chips for everyone (Apple, NVIDIA, etc.), or Amazon Web Services (AWS), which provides compute-as-a-service so companies don’t have to build their own data centers.\n\nIn the post-labor economy, the most valuable companies won’t just be the ones with the best ideas. They will be the ones that most efficiently manage the physical, financial, and logistical bottlenecks that remain.\n\nTLDR: Recap\n\nThe central thesis is that artificial intelligence and robotics will not rewrite the economy but refactor it—achieving the same outputs (goods and services) by fundamentally changing the method. This new method effectively eliminates human labor as a primary economic input, leading to a post-labor framework. This is explicitly not post-scarcity. While cognitive and physical labor become hyperabundant, scarcity shifts to the unyielding laws of physics: Mass (raw materials), Distance (logistics), Time (process latency), and Heat (energy management).\n\nIn this refactored economy, the traditional factors of production are transformed. Labor disappears, while Land (materials) and Capital (AI, robots, factories) become the dominant inputs. Entrepreneurship remains critical, as AI can perform the labor of a CEO but cannot assume the legal and financial liability. With specialized knowledge commoditized by AI, competitive moats shift to owning physical infrastructure, securing resource access (permissions and licenses), and mastering logistics.\n\nThis new reality redefines the make vs. buy question posed by Ronald Coase’s Theory of the Firm. The boundary of a firm is no longer determined by the cost of managing labor or knowledge. Instead, it is determined by capital risk management. A company like Apple, for example, would still rationally outsource manufacturing to a Foxconn, not to save on labor, but to avoid the immense capital risk of owning and retooling $50 billion factories annually. Foxconn’s true post-labor service is not assembly; it is absorbing and distributing this risk across multiple clients, creating an economy of scale in risk absorption. The post-labor enterprise is one defined by physics, capital, and liability. Conversely, only resources with “hold-up” risk (goods that are both specialized and rivalrous, like potash) make sense to fully internalize.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,123],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984100924353343579","quoted_status_permalink":{"url":"https://t.co/3Enu5rb8U2","expanded":"https://twitter.com/mtndwr/status/1984100924353343579","display":"x.com/mtndwr/status/…"},"retweeted":false,"fact_check":null,"id":"1984222206629658793","view_count":17555,"bookmark_count":32,"created_at":1761910413000,"favorite_count":88,"quote_count":2,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1984222206629658793","full_text":"Watching the Internet slowly become fertility aware (and obsessed) will be studied by anthropologists for centuries to come","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984227875721990556","view_count":2482,"bookmark_count":1,"created_at":1761911765000,"favorite_count":26,"quote_count":1,"reply_count":3,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984227875721990556","full_text":"The hardest part of being a creator/communicator is eventually your audience wants something very specifically from you, even if you care about something else. \n\nIt feels like a weird form of vendor lock-in. If you step outside of what your community demands, they get angry. But if you only give them what they want/expect, they get bored/complacent. \n\nGonna start adopting the \"just be cringe until you succeed\" mantra because that has worked in the past. \n\nMy content started with tutorials and then when I switched to commentary/news/analysis it was unpopular at first (but grew much more). \n\nNow I'm pivoting to deeper analysis and my particular niche (Post-Labor Economics) and people are not happy about it. \n\nBut this is what I truly, deeply care about. And I think it's the most important problem I'm personally capable of solving (or at least contributing to). \n\nIt's weird because some people see \"YouTuber\" and immediately assume \"dancing monkey\" insofar as they think you're just an entertainer. I've never really liked that part of the job. I've had several people, some very wealthy and connected, basically say \"ah okay, we can just use your platform\" (as a mouthpiece for our views) and I was like... No I am an independent researcher and intellectual. \n\nRich people don't like it when you do that. \n\nSo I'm basically caught between the incentives of the attention market and the capital market. But what I really have to offer is not to serve either. It's to serve the true incentives of humanity. But the whole thing is very Molochian because, by and large, people don't want solutions and answers. They want stories, resonance, anger, and feelings. \n\nI first noticed this on Substack. Content that explains things very clearly simply does not do well. Stuff the bitches and pisses and moans? Does extraordinarily well. Substack, as an ecosystem, is the pinnacle of pseudo-intellectualism. A bunch of people who think they are smart because they read think-pieces, but then ignore actual substance. \n\nAnd I get it, it's not a rational, conscious choice. Most people are simply not autistic, so their EV calculation is more \"how does this register in my limbic system\" rather than \"how does this tickle my neocortex.\" Their sense of \"meaning\" and \"value\" is simply more primitive, unrefined. \n\nAnd the weird part is that it's the same biochemistry, it's all dopamine. But some people get more dopamine from the \"aha! now I see clearly!\" signal than \"this makes me feel angry/happy/hopeful/sad/seen\"\n\nBut the vast majority of people are not looking for understanding. They are looking for feelings. \n\nSo anyways, I'm just gonna focus on my passions for now, because the EV is extremely high, even if most people don't see it yet.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984020557629944152","quoted_status_permalink":{"url":"https://t.co/TdpRf0YrDc","expanded":"https://twitter.com/Liv_Boeree/status/1984020557629944152","display":"x.com/Liv_Boeree/sta…"},"retweeted":false,"fact_check":null,"id":"1984245002453864526","view_count":3847,"bookmark_count":3,"created_at":1761915848000,"favorite_count":66,"quote_count":0,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984245002453864526","full_text":"I didn't believe this at first but yes, pepper spray is classified as a firearm in Britain. \n\nThis is a failed nation. \n\n\"If you outlaw guns, only outlaws will have guns\" \n\nBut also, I now fully understand the right wing pivot.\n\nHoly crap.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,214],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984063694888956311","quoted_status_permalink":{"url":"https://t.co/l6iidMAmB4","expanded":"https://twitter.com/DumbassPhotoshp/status/1984063694888956311","display":"x.com/DumbassPhotosh…"},"retweeted":false,"fact_check":null,"id":"1984267996765036849","view_count":2474,"bookmark_count":0,"created_at":1761921331000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1984267996765036849","full_text":"This was a prime example of \"hyperstition\"\n\nA few people started posting \"this is gonna go viral\" and \"why is this the only thing on my feed\"\n\nAnd then people reposted those. \n\nIt became a self fulfilling prophecy.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984014438673113477","quoted_status_permalink":{"url":"https://t.co/SCS6Wa255H","expanded":"https://twitter.com/fchollet/status/1984014438673113477","display":"x.com/fchollet/statu…"},"retweeted":false,"fact_check":null,"id":"1984271453466841567","view_count":2459,"bookmark_count":2,"created_at":1761922155000,"favorite_count":9,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984271453466841567","full_text":"I'm sorry... what? \n\nWalking is \"innate\" but crawling isn't? \n\nCrawling is pretraining my dude. \n\nWhat he's referring to is a dramatic over-interpretation of the \"step reflex\" which newborns have, but disappears by 2 months old. Stepping reflex only re-emerges later. \n\nThe idea that \"walking is innate\" comes from developmental psychology, not neuroscience or biology. \n\nThat being said, there is a CPG (Central Pattern Generator) that seems to indicate we're \"wired\" for walking. \n\nBut if that were the case, we would not have to relearn walking after developing our muscles and coordination. True walk requires numerous dimensions of maturation:\n\n- Motor cortex\n- Balance\n- Muscle strength\n\nNow, more to the point - \"inventing\" - are babies \"inventing\" anything? No, they are expressing an emergent and designed capability of their underlying hardware. \n\n\"Invention\" requires deliberate conscious mental effort, as well as experimentation and a clear goal. \n\nBy that definition, humans are not \"inventing\" much of what we do. They are simply performing instinctive actions that reliably (due to evolution) reproduce the same results over and over again. \n\nCalling that \"invention\" is at best a misrepresentation of the word, and at worst rhetorical sleight of hand. \n\nThe final quotation is deeply problematic: \"You couldn't navigate a single day in your life if you weren't capable of invention.\"\n\nMost people are incapable of invention. The vast majority of people simply learn and remix information from within their training distribution. 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shift","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1984274427635249519","view_count":1096,"bookmark_count":0,"created_at":1761922864000,"favorite_count":9,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984266718102094052","full_text":"This is not a dig at Sam for being status-seeking. \n\nAll humans are status seeking. \n\nLet's just stop kidding ourselves about that fact. \n\nThis post of his is an \"aww shucks\" attempt to cast himself in a better light because he cares 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\n\nHere's how it works:\n\n- \"I seek legacy because I want to be remembered as important\" - generally speaking one achieves this by doing something that the human tribe values and remembers (though you can be destructive in this)\n\n- \"I seek wealth because money is important and powerful, and if I make money then I've done something valuable\" - this is the capitalist take, but more or less the same thing. \"I provided goods and services to the tribe and employed thousands of people\"\n\n- \"I seek fame and clout because that makes me feel important and gives me influence to solve problems\" - okay but still fundamentally doing something to help the tribe (even if it's just distraction and 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Even the ultra safe Claude had no problem with looking up someone from a LinkedIn screenshot. https://t.co/SHfZmFHYrl","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1984232769690464690","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":49486,"startTime":1761955200000,"endTime":1762041600000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984199668944023612","quoted_status_permalink":{"url":"https://t.co/sl8BZcsY1k","expanded":"https://twitter.com/kimmonismus/status/1984199668944023612","display":"x.com/kimmonismus/st…"},"retweeted":false,"fact_check":null,"id":"1984562719299645675","view_count":29369,"bookmark_count":116,"created_at":1761991598000,"favorite_count":349,"quote_count":11,"reply_count":0,"retweet_count":34,"user_id_str":"1795781228399869952","conversation_id_str":"1984562719299645675","full_text":"We're actually very lucky because of this trend. Not just at a civilizational level, but as a species. \n\nIn the Dark Timeline, AI was so arcane and expensive that literally ONLY a Manhattan 2.0 could crack the code, which would have meant that, by default, it was a closely guarded secret kept by nation states, weaponized, and deployed for dominance. \n\nBut in reality, AI is a lot more like electricity - easily understood, easily reproduced, and naturally moatless. \n\nThat means it is intrinsically democratic, but not only is it democratic in nature, it is inherently democratizing as well. It levels the intellectual playing field. Now an individual can be just as smart as everyone on Wall Street, every politician, every think tank, and every university. \n\nThe internet destroyed communication gatekeeping (and we're still learning to live with that). Before the internet, it was newspapers, radio, and cable networks. The world \"felt\" less chaotic because it was more curated. Now we have the unvarnished messiness of humanity on drip feed. \n\nArtificially intelligence will utterly destroy intellectual gatekeeping. Medical opinions? Science? News? Political interpretations? AI is the greatest transparency technology we've ever created, and it cannot be isolated or controlled. \n\nMark my words, in the long run, AI will have a LARGER and FASTER impact on the trajectory of civilization and our species than did the printing press. \n\nCongratulations, you were here to witness the beginning of Renaissance 2.0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,85],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984417681102291299","quoted_status_permalink":{"url":"https://t.co/AdblVzfl6k","expanded":"https://twitter.com/daltonc/status/1984417681102291299","display":"x.com/daltonc/status…"},"retweeted":false,"fact_check":null,"id":"1984572221524725916","view_count":1281,"bookmark_count":4,"created_at":1761993863000,"favorite_count":17,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984572221524725916","full_text":"First order: more AI\n\nSecond order: job disruption\n\nThird order: Post-labor economics","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/G1xCuLyWPj","expanded_url":"https://x.com/DaveShapi/status/1984572047788286455/video/1","id_str":"1984571724138975232","indices":[280,303],"media_key":"13_1984571724138975232","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1984571724138975232/img/G08Hy0-qv-N9XjFG.jpg","type":"video","url":"https://t.co/G1xCuLyWPj","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1440,"resize":"fit"},"medium":{"h":900,"w":1200,"resize":"fit"},"small":{"h":510,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1440,"focus_rects":[]},"video_info":{"aspect_ratio":[4,3],"duration_millis":594300,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1984571724138975232/pl/_zigGSi0-IFa3RAa.m3u8?tag=21&v=15f"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/360x270/mY3C-0QKOqxT3nsj.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/480x360/BhVnUzfYAhRjVMZG.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/960x720/ipxTbTdNYjWiTxzx.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1984571724138975232/vid/avc1/1440x1080/6L-PXchyC68icw3K.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1984571724138975232"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984572047788286455","view_count":1340,"bookmark_count":9,"created_at":1761993822000,"favorite_count":20,"quote_count":1,"reply_count":0,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984572047788286455","full_text":"Renaissance 2.0\n\nThere's a fascinating new graph from the researchers at Epoch AI, a group that provides excellent, objective data on the state of artificial intelligence. This particular graph illustrates something we've intuited for a while, but now see with startling clarity: open-weight AI models are only about three to three and a half months behind state-of-the-art foundation models.\n\nThis isn't just a static number; it represents a trend. That gap used to be anywhere from six to 18 months. The fact that it has reliably closed to just three months is, in my opinion, really good news for us as a civilization.\n\nHere’s why this data point is so significant.\n\nThe \"Dark Timeline\" We Avoided\n\nLet's imagine a \"dark timeline\". In this alternate reality, AI would have been so arcane, so expensive, and so complex that only a \"Manhattan 2.0 project\" could have cracked it. If that had been the case, AI would be a very, very tightly guarded secret—and I don't mean guarded by patent law. I mean guarded by intelligence agencies who would go to any length to keep the technology contained.\n\nBut that's not what happened.\n\nInstead, AI turned out to be more like electricity. Once you see that it's possible, it is relatively easy to understand, reproduce, and is \"naturally moteless\".\n\nWe see this playing out constantly. As soon as a closed-source lab like OpenAI releases a new capability, numerous open-source projects reach parity within a few months, often with less money. While some debate the methods (like borrowing data), the point remains: once the new thing is proven possible, it's easy and cheaper to duplicate.\n\nThere's no moat. This technology is intrinsically democratic. You cannot put this genie back in the bottle.\n\nAn Inherently Democratizing Force\n\nThis technology isn't just democratic by nature (meaning it can't be contained); it's also inherently democratizing. It actively levels the playing field.\n\nThink about it: in the same way industrialization brought electricity and combustion engines to everyone, AI is bringing intellectual power to everyone. If every university, every small nation, and every open-source shop can spin up their own powerful AI models, the game changes.\n\nSuddenly, every individual or every small company can be just as smart as the top people on Wall Street, every politician, and every think tank.\n\nWe've Seen This Movie Before\n\nYou might say we have no model for this, but I disagree. We have several.\n\nThe Internet: The most recent example is the internet, which \"destroyed communication gatekeeping\" and democratized communication. Before the internet, mass communication was locked down by newspapers, radio, and cable networks. That world felt less chaotic, but only because it was curated. Now, we have the \"unvarnished messiness of humanity\" delivered to us 24/7, and we are still learning to live with the ramifications—the post-truth era, echo chambers, and mimetic warfare.But look at what this non-gatekept internet gave us. You're able to consume content like this because I don't need anyone's permission. Peter Diamandis calls this a \"permissionless disruptive innovation\" (PDI)—an innovation with no legal grounds to keep it in check that disrupts how society works.\n\nThe Printing Press: This innovation famously kicked off the Renaissance, among other things. It was one of the first ways of democratizing information and knowledge. A key inflection point came during the lead-up to the French Revolution, when the ability to print and circulate pamphlets allowed Enlightenment ideas—like natural law and equality—to spread like wildfire.\n\nWelcome to the Renaissance 2.0\n\nArtificial intelligence is the next revolutionary step. It will utterly destroy intellectual gatekeeping.\n\nAI is the best and greatest transparency technology we have ever created. It will have a larger and faster impact on the trajectory of civilization than the printing press and the internet combined.\n\nThis is why I don't think it's hyperbolic to say we are at the beginning of a Renaissance 2.0.\n\nYes, it's messy. The first Renaissance and the Enlightenment were incredibly messy, chaotic, and violent. But we look back at that heritage with pride, celebrating that we bootstrapped ourselves into the modern era.\n\nThe key difference this time is speed.\n\nImprovements to the printing press played out over decades or centuries.\n\nImprovements to the internet play out over the span of years.\n\nImprovements to artificial intelligence play out over the span of months.\nThis is a moving target. Even if we froze AI development today, the seismic shifts to society would be dramatic. But we're not freezing it. By the time any of the changes from today's technology settle in, we're going to be three or four new generations of AI deep, with hardware improving right alongside it.\nHistory will record this as a major, major inflection point. We have the privilege—and the cost—of living through it. Every major change is painful, and the level of that pain has yet to be fully understood.\n\nOur job is to try and mitigate that pain, to see the huge amount of opportunity, and to navigate the immense risk. That's the name of the game.\n\nAdapt or die.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,226],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1983956431360659467","quoted_status_permalink":{"url":"https://t.co/DZoRy7OksK","expanded":"https://twitter.com/OpenAI/status/1983956431360659467","display":"x.com/OpenAI/status/…"},"retweeted":false,"fact_check":null,"id":"1984581434632225201","view_count":1105,"bookmark_count":2,"created_at":1761996060000,"favorite_count":13,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984581434632225201","full_text":"I still remember when I said that the repo was the natural nexus of AI activity and a bunch of devs freaked out at me saying \"nooooo it's the IDE\" and I was like \"wait you honestly think you're going to have a job in 5 years?\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,46],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/Sl8M9gkuOg","expanded_url":"https://x.com/DaveShapi/status/1984590260894855633/photo/1","id_str":"1984590225293688832","indices":[47,70],"media_key":"3_1984590225293688832","media_url_https":"https://pbs.twimg.com/media/G4quS4tXwAAaRlO.png","type":"photo","url":"https://t.co/Sl8M9gkuOg","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":389,"w":509,"resize":"fit"},"medium":{"h":389,"w":509,"resize":"fit"},"small":{"h":389,"w":509,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":389,"width":509,"focus_rects":[{"x":0,"y":0,"w":509,"h":285},{"x":0,"y":0,"w":389,"h":389},{"x":0,"y":0,"w":341,"h":389},{"x":0,"y":0,"w":195,"h":389},{"x":0,"y":0,"w":509,"h":389}]},"media_results":{"result":{"media_key":"3_1984590225293688832"}}}]},"favorited":true,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984590260894855633","view_count":305,"bookmark_count":0,"created_at":1761998164000,"favorite_count":5,"quote_count":0,"reply_count":2,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1984590260894855633","full_text":"My new policy is just to call it when I see it https://t.co/Sl8M9gkuOg","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":true,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1984451578292572630","quoted_status_permalink":{"url":"https://t.co/v5rDRoIvvm","expanded":"https://twitter.com/slow_developer/status/1984451578292572630","display":"x.com/slow_developer…"},"retweeted":false,"fact_check":null,"id":"1984593633207636231","view_count":94,"bookmark_count":1,"created_at":1761998968000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984593633207636231","full_text":"UBI - Universal Basic Income - tax-based transfer\n\nUBD - Universal Basic Dividends - redistribution of sovereign wealth and other public goods\n\nUBC - Universal Basic Capital - investments made on behalf of citizens by governments\n\nUBS - Universal Basic Services - housing, education, healthcare, and other services provided by the state\n\nYou do all of them, actually.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984593931741360541","view_count":8392,"bookmark_count":6,"created_at":1761999039000,"favorite_count":77,"quote_count":1,"reply_count":16,"retweet_count":4,"user_id_str":"1795781228399869952","conversation_id_str":"1984593931741360541","full_text":"I got so irritated at Gemini I deleted all my chats. In digging through the settings, I found that it had \"reference other chats\" enabled by default as well as \"custom instructions\" that I never set. \n\nI wonder if that was why Gemini was misbehaving? Trying to keep track of too much at once. Perhaps that's why the performance seemed to deteriorate over time.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/3ooXes3FCy","expanded_url":"https://x.com/DaveShapi/status/1984634867049517471/photo/1","id_str":"1984634495979413504","indices":[281,304],"media_key":"3_1984634495979413504","media_url_https":"https://pbs.twimg.com/media/G4rWjx3W4AAR3zU.png","type":"photo","url":"https://t.co/3ooXes3FCy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":614,"w":769,"resize":"fit"},"medium":{"h":614,"w":769,"resize":"fit"},"small":{"h":543,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":614,"width":769,"focus_rects":[{"x":0,"y":0,"w":769,"h":431},{"x":0,"y":0,"w":614,"h":614},{"x":0,"y":0,"w":539,"h":614},{"x":0,"y":0,"w":307,"h":614},{"x":0,"y":0,"w":769,"h":614}]},"media_results":{"result":{"media_key":"3_1984634495979413504"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1984634867049517471","view_count":0,"bookmark_count":0,"created_at":1762008799000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984634867049517471","full_text":"How is it possible that a research analyst is so far out of date on the state of AI? \n\nI think I'm just going to stop posting about AI on LinkedIn. It feels very woke over there. \n\nEvery run of the mill academic and business bro feels like it's edgy and contrarian to just dunk on AI. \n\nI thought LinkedIn was supposed to be pro-business and AI is the most powerful thing that has happened to business in decades. \n\nAre there pro-AI communities on LinkedIn? Accelerationists? AI Red Pills?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984666500435705872","view_count":1517,"bookmark_count":3,"created_at":1762016341000,"favorite_count":18,"quote_count":2,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1984666500435705872","full_text":"One of the problems with mass social media is that whatever your views, beliefs, or ideologies are (no matter how off the wall) you can find people who agree with you. \n\nAnd then those views and values can concentrated, refined, and amplified. \n\nPeople might then mistake that with reality. As in \"well thousands of people agree with me so we can't all be wrong\" because, until Internet, unless you were very famous, most people had no way of joining or finding an interactive community that could validate such beliefs. \n\nThen you have active partitioning, tribal and in-group vs out-group dynamics which cause people to double down. \n\nSo, then you might never really question those beliefs. \n\nNow, not everyone is susceptible to this. But plenty are. 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AI Red Pill\n\nThere's a new, fundamental divide opening up in the conversation about artificial intelligence. I'm calling it the AI red pill versus blue pill theory. At its core, I'm borrowing this metaphor directly from its original source, The Matrix. In that story, the choice was simple: take the red pill to wake up to reality and engage with it, no matter how messy or ugly it might be. Or, take the blue pill to choose a comfortable illusion, a simple delusion that lets you go back to sleep.\n\nWhen we apply this to the AI debate, it's not as simple as \"AI is good\" versus \"AI is bad.\" The core of the metaphor is about pragmatic acceptance versus the comfort of rejection. The blue pill isn't just one opinion; it's any mental model or narrative that allows you to believe, \"I don't have to really deal with this.\" It’s a way to avoid the hard work of engaging with the technology's complex reality.\n\nThe Four Flavors of the Blue Pill: The Comfort of Rejection\n\nThis avoidance—this \"blue pill\" thinking—comes in several forms, and they're not all on the same side of the debate. In fact, even extreme utopianism is a form of blue pill, because it's a magical narrative that suggests we don't have to deal with the messy details.\n\nFirst, there is Denialism. This is the camp that says AI is \"fake,\" \"stupid,\" \"useless,\" or \"just fancy autocomplete.\" You still see people claiming artificial intelligence doesn't actually exist, often through tortured logic. The underlying reason for this denial is comfort. If AI is just a stupid toy or a passing fad, they don't have to take it seriously. They feel no pressure to learn, adapt, or change what they're doing.\n\nSecond, there is Doomerism. This is the belief that AI will inevitably kill everyone, that AGI will turn us all into paperclips. This, too, is a form of avoidance. By creating a fantastical, hypothetical future scenario, it allows one to simplify and dismiss all the other complex, real-world issues AI presents today—problems like bias, copyright, or misinformation. It’s a form of self-delusion, constructing a straw man of what AI will be so you can sword fight that instead of engaging with the reality in front of you.\n\nThird, we have the Moral Panic. This is the argument that AI is \"evil,\" \"corrupting,\" \"fundamentally theft,\" or a \"plagiarism engine.\" By framing AI as a \"moral contaminant,\" the only acceptable action is to banish it. It's a way to declare it bad, sight unseen, and once again avoid the much more difficult task of nuanced engagement.\n\nFinally, there is Techno-Utopianism. This is the fourth blue pill, the belief that AI is a magical solution that will fix everything and save everyone. This narrative is just as much of an avoidance tactic as doomerism. It ignores the very real possibilities of elite capture, regulatory capture, or AI being used to create the most powerful surveillance state in human history. It's a comfortable illusion that absolves us of responsibility.\n\nThe Red Pill: Embracing the Messy Truth\n\nSo what is the red pill side? It’s simply pragmatic realism. It's the choice to accept reality as it is, not as we wish it to be.\n\nThe red pill view says AI is messy. It's not stupid; it makes silly mistakes, but it's also incredibly compelling on many dimensions and is improving at a rapid pace. The red pill accepts these facts. This view acknowledges that, yes, AI is probably going to destroy a bunch of jobs, perhaps even the majority of them. It forces us to ask the hard questions: What does this do to the arts and creativity? Does it make students dumber?\n\nThe red pill perspective is that all of these questions are worth engaging with. The most responsible thing we can do is to engage with reality as it is, not as we wish it to be.\n\nThe Psychology of Avoidance: Why We Choose the Blue Pill\n\nTo be truly \"red-pilled\" on AI, you must first acknowledge that there are legitimate reasons people are scared, angry, and skeptical. There are also legitimate reasons for people to be hopeful and optimistic. The red pill path means holding all these truths at once.\n\nThe primary reason people fall into a blue pill camp is ontological shock. This is an \"identity earthquake.\" Imagine you are a writer, an artist, a programmer, or a lawyer. You suddenly realize that a core part of your identity—your unique intelligence, your skill, your creativity—is no longer unique and may no longer even be monetizable. You can be surpassed by a machine. This isn't just a threat to your job, which is bad enough; it's a threat to your identity, your purpose, and your self-esteem.\n\nThat ontological shock is terrifying, and it creates a desperate need for a coping mechanism. The easiest way to emotionally deal with such a profound threat is to reject it. You find reasons, any reason, that you don't have to deal with it.\n\nThis is where motivated reasoning comes in. Your brain already has its desired, predetermined outcome: \"AI is not a threat to my identity or worldview.\" It then scours the world for evidence to support that conclusion. If you need AI to be stupid, you will scour the internet for every example of an AI hallucinating and ignore all evidence of its rapid improvement. If you're an artist, you might reframe the debate around the input (training data as \"theft\") rather than the output (the subjective experience of art), because it makes your traditional process \"morally superior\" and allows you to reject AI-generated art entirely.\n\nThis is the psychological chain: The shock to our identity creates the need for coping, which our brains supply through motivated reasoning, which finally cements our comfortable blue pill belief—that AI is stupid, evil, overhyped, a distant doomsday threat, or a magical savior.\n\nApplying the Red Pill Framework\n\nThis lens clarifies nearly every debate surrounding AI.\n\nOn policy and regulation, the blue pill approaches are the two extremes. One is the laissez-faire argument that \"it's just software,\" \"existing laws are good enough,\" and \"the free market will sort it out.\" The other is the doomer argument that \"it's a WMD\" and we need an \"immediate, permanent moratorium.\" Both are avoidance. The red pill position is that this is a new class of technology, like aviation or synthetic biology. Banning it won't work, but existing laws are clearly insufficient. The hard, messy, red-pill work is figuring out how to build new, adaptive, and sophisticated regulatory frameworks.\n\nOn open source vs. closed source, the blue pill extremes are \"releasing open source is giving bioweapons to terrorists\" and \"information wants to be free, there are no real dangers.\" The red pill view sees the messy trade-off. Closed models create an unaccountable oligopoly and a black box problem. Open models accelerate progress and allow for auditing, but also accelerate risks. The realistic path is a difficult, tiered system that balances these factors.\n\nOn education, the blue pill reaction is to \"ban ChatGPT from schools,\" calling it a \"cheating machine\" that will stop students from thinking. The red pill approach is to accept that students are already using it. Banning it is like trying to ban the calculator; it just teaches them to hide it. The goal of education—critical thinking, research, and synthesis—is now more important than ever. We must teach students how to use AI responsibly as a tool for ideation, feedback, and fact-checking.\n\nThe True Red Pill Stance: Technology is a Double-Edged Sword\n\nBeing AI red-pilled isn't about being an optimist. It is about being a realist and accepting reality as it comes. It means admitting the stakes as they are, and the core organizing principle is this: Technology is always a double-edged sword.\n\nNew, transformative technologies always cut both ways. There is always good, and there is always bad.\n\nOn jobs, AI will likely be a brutal and painful economic displacement for millions, and it will also be an incredible tool for productivity and liberation from drudgery.\n\nOn art, AI models can generate stunning, novel, and beautiful work that empowers millions to be creative, and this also poses an existential threat to the careers of millions of artists. Both are true, and you cannot put this genie back in the bottle.\n\nOn truth, AI is the most powerful tool ever created for personalized education and scientific discovery, and it is also the most powerful tool ever created for propaganda and misinformation.\n\nThe blue pill path is to pick one of those narratives, wrap yourself in it, and go back to sleep. 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If something is testable, it is science. If it is not testable, it is not science. \n\nAs a movement, it has deliberately set itself up as a Millenarian cult, asking its adherents to thumb their noses at the establishment because, in their view, they alone possess unique powers of observation and foresight. That the establishment cannot possibly understand what's coming, and will not react in time. \n\nAbsent the first two tools of reproducibility and falsifiability, they have defaulted to rhetorical and memetic warfare, refining their arguments in online forums for years, employing every cognitive bias and rhetorical hack they can to drum up a \"convincing argument\" that is, in essence, just sophistry in its most fundamental definition (\"man is the measure of all things, convince the man, and it is true.\")\n\nEven if you take the prophets of Doomerism at face value (which is often what they demand, i.e. \"you must take my argument seriously despite my lack of evidence or reproducibility\") then their own track record at prediction is abysmal. Yudkowsky, one of the chief architects of the Doomer movement, started his apocalyptic prophecies on nanotech. He believed, in the 90's that \"gray goo\" was clearly the most dangerous potential future technology. \n\nGiven this pattern of behavior and constellation of facts, the most parsimonious explanation of the Doomer movement is that it is the result of terminally online people who lack education or relevant experience, refining arguments in online spaces, and by virtue of their lack of scientific literacy, have fallen victim to the same psychological traps that countless before them have; believing a charismatic leader who promises secret knowledge, a special place in the world, and builds an identity around being an outsider. \n\nExtraordinary claims require extraordinary evidence, and to date, they have furnished none.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,168],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985351556749734246","view_count":1399,"bookmark_count":0,"created_at":1762179671000,"favorite_count":37,"quote_count":1,"reply_count":4,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1985351556749734246","full_text":"Heart of growing up and maturing is realizing and accepting that there is a lot in the world that is stupid and broken and sucks and there's nothing you can do about it","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,196],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985182251940827242","quoted_status_permalink":{"url":"https://t.co/klOkiEDPag","expanded":"https://twitter.com/litcapital/status/1985182251940827242","display":"x.com/litcapital/sta…"},"retweeted":false,"fact_check":null,"id":"1985363162250531177","view_count":4135,"bookmark_count":7,"created_at":1762182438000,"favorite_count":50,"quote_count":0,"reply_count":4,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985363162250531177","full_text":"Remember, even Nobel prize winners can be catastrophically wrong. \n\nSo when economists and other experts declare that AI won't be massive, just keep this in mind. \n\n(Yes, it cuts both ways, I now)","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985399016687874383","view_count":10625,"bookmark_count":18,"created_at":1762190987000,"favorite_count":246,"quote_count":4,"reply_count":3,"retweet_count":16,"user_id_str":"1795781228399869952","conversation_id_str":"1985399016687874383","full_text":"thermodynamic computing got me schizoposting you guys have no idea","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,29],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398907786969335","view_count":1106,"bookmark_count":0,"created_at":1762190961000,"favorite_count":9,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985398907786969335","full_text":"gradient descent on easy mode","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48144742","name":"Gill Verdon","screen_name":"GillVerd","indices":[12,21]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985398197720691161","view_count":1346,"bookmark_count":0,"created_at":1762190791000,"favorite_count":23,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985398197720691161","full_text":"Congrats to @gillverd now the doomers are going to be scared of matrix multiplication AND entropy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,30],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/0k1FDM2ew8","expanded_url":"https://x.com/DaveShapi/status/1985398071602139319/photo/1","id_str":"1985398039456944128","indices":[31,54],"media_key":"3_1985398039456944128","media_url_https":"https://pbs.twimg.com/media/G42M_2-WkAAlj32.png","type":"photo","url":"https://t.co/0k1FDM2ew8","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":918,"w":891,"resize":"fit"},"medium":{"h":918,"w":891,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":918,"width":891,"focus_rects":[{"x":0,"y":323,"w":891,"h":499},{"x":0,"y":27,"w":891,"h":891},{"x":0,"y":0,"w":805,"h":918},{"x":68,"y":0,"w":459,"h":918},{"x":0,"y":0,"w":891,"h":918}]},"media_results":{"result":{"media_key":"3_1985398039456944128"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/0k1FDM2ew8","expanded_url":"https://x.com/DaveShapi/status/1985398071602139319/photo/1","id_str":"1985398039456944128","indices":[31,54],"media_key":"3_1985398039456944128","media_url_https":"https://pbs.twimg.com/media/G42M_2-WkAAlj32.png","type":"photo","url":"https://t.co/0k1FDM2ew8","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":918,"w":891,"resize":"fit"},"medium":{"h":918,"w":891,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":918,"width":891,"focus_rects":[{"x":0,"y":323,"w":891,"h":499},{"x":0,"y":27,"w":891,"h":891},{"x":0,"y":0,"w":805,"h":918},{"x":68,"y":0,"w":459,"h":918},{"x":0,"y":0,"w":891,"h":918}]},"media_results":{"result":{"media_key":"3_1985398039456944128"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985398071602139319","view_count":15804,"bookmark_count":75,"created_at":1762190761000,"favorite_count":238,"quote_count":5,"reply_count":0,"retweet_count":14,"user_id_str":"1795781228399869952","conversation_id_str":"1985398071602139319","full_text":"This is bigger than you think. https://t.co/0k1FDM2ew8","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]},{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[154,164]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985397137736118530","view_count":26023,"bookmark_count":20,"created_at":1762190539000,"favorite_count":181,"quote_count":6,"reply_count":0,"retweet_count":12,"user_id_str":"1795781228399869952","conversation_id_str":"1985397137736118530","full_text":"I know I grouse and gripe about ChatGPT's UX a lot (to be fair, no AI is safe from my curmudgeonly ways) but holy crap ChatGPT just one-shotted* usething @beffjezos's THRML library to write a sudoku solver\n\n*it made a few mistakes which it also corrected, but then it oneshotted the refactor after we'd figured everything else. \n\nThis is particularly remarkable to me because THRML is brand new. It's outside of training distribution. ChatGPT has NOT seen anything like this. \n\nIt just read the docs, looked at the examples, and then applied it to a novel problem space. \n\n...and it just worked. \n\nAnalysis and podcast forthcoming","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,162],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985409857260830915","view_count":3052,"bookmark_count":4,"created_at":1762193571000,"favorite_count":31,"quote_count":2,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985409857260830915","full_text":"Gemini for explaining things with simple analogies and metaphors in a friendly way\n\nChatGPT for autistically doing the heavy lifting\n\nI will not elaborate further","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[43,52]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985395405702455460","view_count":50276,"bookmark_count":118,"created_at":1762190126000,"favorite_count":608,"quote_count":8,"reply_count":2,"retweet_count":31,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"everything's thermoputer\n\ni'm digging into @extropic's THRML library and testing it out. \n\nworking on a sudoku solver as a \"hello world\" problem.\n\nalmost got it working correctly.\n\nstress testing and double checking now.\n\nthe more I learn about MCMC and how this thing works, it seems so braindead obvious that this was the way to go that I'm like how the eff did no else figure this out sooner\n\nbut alas, many of the best innovations seem obvious in hindsight\n\nanalysis forthcoming, perhaps tomorrow or the next day","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[10,66],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"DaveShapi","lang":"en","retweeted":false,"fact_check":null,"id":"1985397667501842552","view_count":2792,"bookmark_count":1,"created_at":1762190665000,"favorite_count":38,"quote_count":0,"reply_count":0,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1985395405702455460","full_text":"@extropic (pro one-shotted it the first time with zero errors btw)","in_reply_to_user_id_str":"1795781228399869952","in_reply_to_status_id_str":"1985395405702455460","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,56],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"3167086309","name":"cool timothy","screen_name":"dreadconquest","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"dreadconquest","lang":"en","retweeted":false,"fact_check":null,"id":"1985395772649541766","view_count":108035,"bookmark_count":2,"created_at":1762190213000,"favorite_count":66,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985048753594839526","full_text":"@dreadconquest my thought is \"sharpen your damn ax dude\"","in_reply_to_user_id_str":"3167086309","in_reply_to_status_id_str":"1985048753594839526","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":267466,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985669776060915856","view_count":1597,"bookmark_count":4,"created_at":1762255541000,"favorite_count":47,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1985669776060915856","full_text":"Ironically, despite being better at coding, GPT-5 sucks at communication. \n\nSort of like humans. There is an inverse relationship between deep autistic technical ability and the ability to clearly express oneself.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,22],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985677837807067164","view_count":1473,"bookmark_count":0,"created_at":1762257463000,"favorite_count":12,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985677837807067164","full_text":"i can haz tsu plz? 🥺👉👈","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,280],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]},{"id_str":"1685973304878747650","name":"Extropic","screen_name":"extropic","indices":[48,57]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/2OqbiaMUp6","expanded_url":"https://x.com/DaveShapi/status/1985677294753522036/photo/1","id_str":"1985672508704542720","indices":[281,304],"media_key":"3_1985672508704542720","media_url_https":"https://pbs.twimg.com/media/G46GoEmX0AAyy4p.png","type":"photo","url":"https://t.co/2OqbiaMUp6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":976,"w":843,"resize":"fit"},"medium":{"h":976,"w":843,"resize":"fit"},"small":{"h":680,"w":587,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":976,"width":843,"focus_rects":[{"x":0,"y":0,"w":843,"h":472},{"x":0,"y":0,"w":843,"h":843},{"x":0,"y":0,"w":843,"h":961},{"x":122,"y":0,"w":488,"h":976},{"x":0,"y":0,"w":843,"h":976}]},"media_results":{"result":{"media_key":"3_1985672508704542720"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985677294753522036","view_count":132657,"bookmark_count":406,"created_at":1762257333000,"favorite_count":833,"quote_count":40,"reply_count":2,"retweet_count":76,"user_id_str":"1795781228399869952","conversation_id_str":"1985677294753522036","full_text":"Okay here's the first thing I did with THRML by @extropic \n\nIt's just a basic sudoku solver. Thermodynamic computing is a bit overkill for this task but I think since humans can actually do sudoku, it's a good intuition for what's going on under the hood. \n\nWith sudoku, there are many overlapping constraints. You start with a partially filled puzzle, which are the initial conditions, but then other rules are: no duplicates on any row, column, or square. \n\nNow, with a sudoku problem, you know there is ONE singular solution, or a \"low energy state\" i.e. where there are no rule violations or collisions. \n\nSo then what you do is you program those \"clamped\" initial values into the TSU, and you bake in the rules (no duplicates) and then, due to the laws of thermodynamics and electricity... it just sort of settles into the correct solution (this is \"annealing\") \n\nThe reason I think this is such a good example of what TSUs do is because for humans (and classical computers) it's more or less a \"guess and check\" process. No matter what method you use with classical computation or human computation, it's an iterative refinement process of sequential steps. \n\nBut, with sudoku, as you can see in the output below, it's a single step. That's because the TSU looks at the whole problem globally. \n\nHere's how I did this: ChatGPT PRO 🤣\n\nNo joke, ChatGPT pro one-shotted this entire problem. There were several refinements we made, though it was mostly around UI and validation (not the core logic). However, we did do an optimization step to make sure we were using the correct block batching from the THRML library.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985692881072353481","view_count":255,"bookmark_count":0,"created_at":1762261049000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1985692881072353481","full_text":"ChatGPT is so stupid that sometimes when you ask for a thumbnail it breaks out pyplot instead of using dalle.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/fi8C9ORdRi","expanded_url":"https://x.com/DaveShapi/status/1985697301298340087/video/1","id_str":"1985695877873209346","indices":[277,300],"media_key":"13_1985695877873209346","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1985695877873209346/img/YYyz9idkoLKEJt29.jpg","type":"video","url":"https://t.co/fi8C9ORdRi","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":720,"w":1280,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":720,"width":1280,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1081980,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1985695877873209346/pl/CXvLNhvlUYUl7RON.m3u8?tag=21&v=7cb"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/480x270/oIfvOntI6KwUTTJU.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/640x360/EieetISYPQsr6MKb.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1985695877873209346/vid/avc1/1280x720/F3iiR2qhBIl5meKT.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1985695877873209346"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1985697301298340087","view_count":80108,"bookmark_count":666,"created_at":1762262103000,"favorite_count":1064,"quote_count":49,"reply_count":0,"retweet_count":187,"user_id_str":"1795781228399869952","conversation_id_str":"1985697301298340087","full_text":"Thermodynamic computing is here\n\nThere is a new computing paradigm emerging from the noise, and its arrival may be as significant as the dawn of deep learning or the advent of cloud virtualization. A new company, Extropic, has just launched its first thermodynamic computer, a device they call a TSU, or Thermal Sampling Unit. While the web is already filling with deep technical dives, what’s more important for most of us is building a clear intuition for what this technology is, how it’s fundamentally different from anything that’s come before, and why it’s generating so much excitement. This isn’t just another chip; it’s a new way to think about computation itself.\n\nSeeing is Believing: Solving Puzzles in One Shot\n\nTo understand what a TSU does, let’s look at two classic, notoriously difficult computer science problems: Sudoku and the Eight Queens problem. When you or I solve a Sudoku, we use a process of sequential logic, guess-and-check, and backtracking. We make an assumption, follow its logical conclusion, and if we hit a dead end, we erase and try again. A classical computer does the same, just much faster. A TSU, however, approaches this in a completely different way. Using a TSU simulator, one can “program” the problem by first clamping the known values—the clues already on the board. Then, you program in the constraints: no duplicate numbers in any row, column, or 3x3 square. With the problem thus defined, the TSU doesn’t “search” for a solution; it anneals one. In a single computational step, the solution simply emerges, backfilling all the empty squares correctly.\n\nThe same principle applies to the Eight Queens problem, a challenge to place eight queens on a chessboard so that none can attack any other. This is a complex combinatorial problem with 92 distinct solutions. A classical computer would have to iteratively search for these. A TSU, by contrast, can be programmed with the constraints (the “anti-affinity” between queens on the same row, column, or diagonal) and then set to sample the “solution space.” In this context, a valid solution is one with a “problem energy” of zero. The TSU’s physical nature allows it to naturally find these zero-energy states. A simulation of this process shows the TSU discovering all 92 unique solutions, demonstrating its ability to not just find an answer, but to explore the entire landscape of all correct answers. This is a fundamentally new approach, one that bypasses the brute-force, iterative methods we’ve relied on for decades.\n\nThe Physics of Computation: Using Noise, Not Fighting It\n\nThis new power comes from a radical design philosophy. For the last 70 years, computing has been about one thing: order. We build chips that are deterministic, logical, and precise. The great enemy has always been noise, heat, and randomness. We spend billions on cooling and error correction to eliminate these very things. Quantum computing, in many ways, is the ultimate expression of this, requiring temperatures near absolute zero to eliminate all thermal noise and achieve quantum coherence. Thermodynamic computing is the polar opposite. It doesn’t fight the noise; it uses it. The TSU is built on the understanding that the natural, stochastic noise from “leaky” transistors—the very randomness we’ve tried to engineer out of existence—is itself a powerful computational resource.\n\nThink of it this way: a GPU, which is central to today’s AI, has to simulate noise. When a generative AI model creates a new image or sentence, it’s using complex algorithms to fake randomness. The TSU doesn’t need to fake it; it harnesses the actual physical randomness of thermodynamics. It is a piece of hardware that directly computes with probability. This makes it a hybrid, sitting somewhere between a purely analog computer (which might use light or sound waves to compute) and a digital GPU. It’s a physical device that leverages the laws of physics itself to find solutions, rather than just using logic gates to simulate them.\n\nFrom a Lost Hiker to a Million Bouncy Balls\n\nPerhaps the best way to build intuition is with a metaphor. Imagine that solving a complex optimization problem is like trying to find the lowest point of altitude in a 100-square-mile mountainous landscape. Classical computing, using an algorithm like gradient descent, is like being a single hiker dropped into this landscape at night. You have no map or satellite view. All you have is an altimeter and the sensation of the slope under your feet. You can only take one step at a time, always walking downhill, hoping you don’t get stuck in a small local valley when the true, lowest canyon is miles away.\n\nThermodynamic computing is a completely different approach. It’s like having a million bouncy balls and a helicopter. You drop all million balls simultaneously across the entire 100-square-mile landscape. Then, you “turn on an earthquake,” shaking the entire system. The balls bounce and jostle, but as the shaking (the “annealing”) subsides, where do they all end up? They naturally settle into the lowest points. The balls that collect in the deepest valley represent the optimal solution. The TSU is, in essence, a physical device for dropping those million balls at once and letting the laws of thermodynamics find the lowest “energy” state for you, all at the same time.\n\nBeyond Puzzles: The Real-World Impact\n\nThis is far more than just a clever way to solve brain teasers. This ability to instantly find the lowest energy state for a complex, constrained system has staggering real-world applications. One of the most immediate is protein folding. Companies like Google’s DeepMind have made incredible progress with AI like AlphaFold, which predicts protein structures. But this is still a predictive model trained on existing data. A TSU could potentially solve the folding problem directly, treating the protein as a system of atomic affinities and repulsions and finding its most stable, lowest-energy configuration almost instantaneously. This could revolutionize drug discovery and materials science.\n\nAn even more profound possibility lies in nuclear fusion. One of the greatest engineering challenges in history is controlling the superheated plasma within a tokamak reactor. This requires shaping unimaginably complex magnetic containment fields in real-time to prevent the plasma from touching the reactor walls. This is a real-time optimization problem so complex it’s currently beyond our capabilities. A TSU, however, could be fast enough. Its ability to compute with electricity itself, rather than abstracting the problem through layers of software, might allow it to update the magnetic fields fast enough to stabilize the fusion reaction. One could even imagine a future where thermodynamic computing elements are built directly into the tokamak’s walls, allowing the reactor to physically and intelligently react to the plasma’s state in real time.\n\nA ‘GPT-2 Moment’ for a New Era\n\nIt’s easy to become numb to hype, but what we are witnessing with the TSU feels different. This is what you might call a “GPT-2 moment.” For those who were there, GPT-2 was the first generative AI model that wasn’t just a toy; it was the first time you could play with it at home and see the spark of true generative intelligence. It was the precursor that pointed directly to the GPT-3 and ChatGPT revolution that has since changed the world. This TSU has that same feel. It’s the “SDK” for a new computing paradigm.\n\nThis technology is as different from classical computing as quantum computing is, but with a critical difference: a team of 15 built this in two years, and it runs at room temperature on your desk. Quantum computing has seen decades of work and billions in funding, and it still hasn’t produced a commercially viable, scalable machine. The TSU is here now. Based on a two-decade-long career at the cutting edge of technology—from seeing the obvious future of virtualization in 2007 to an early conviction in deep learning and GPT—this has all the same hallmarks of a fundamental, world-changing shift. We are not just building faster calculators; we are learning to compute with the universe itself. Pay close attention to this. 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here's the second thing I did, which is similar-but-different. It's called the 8 queens problem. The rules are simple: place 8 queens on a chess board such that none of them can attack each other. Simple to say, hard to execute. \n\nThere are 92 solutions to this problem, and so I wrote a script to test if THRML/TSU would get stuck on a single solution. Here's the trick: there are billions of possible board states, but the 92 solutions all have the same energy level: 0. So how would a TSU handle that? In reality, there are rarely going to be multiple solutions that are TOTALLY equal in loss/energy. \n\nSo, I fired up this script that baked in the rules (with no starting conditions) and watched as the TSU quickly iterated through, discovering the solutions. It took over 400 iterations to get all 92 solutions due to the massive amount of duplicates it generated. But it did ultimately generate 92 unique solutions. \n\nThere are a few things that are remarkable about this whole process:\n\nFIRST, ChatGPT has never seen the THRML library. 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The first, and I think most obvious direction, is protein folding and protein design. With proteins, you're trying to find the lowest global energy state of a complex molecule. You can brute force this with old methods like FOLDING@HOME and you can also train ginormous models like AlphaFold to use neural networks to approximate the shapes (albeit very accurately and quickly). \n\nOR\n\nYou can use thermodynamic computing to rapidly design/discover the optimal shape for any given protein. Not only that, it can be done on the SAME hardware that solved sudoku and the 8 queens problem. And that, I think, underscores the key difference. The TSU is a general purpose accelerator. It's not onlike how a TPU or GPU accelerates a particular kind of math. \n\nThe TSU accelerates other kinds of math, and it's all based on noise. True measurements of entropy. Not pseudo-random number generators. AND because the way the pbits interact, you can approximate a true Boltzmann distribution (imagine billiard balls ricocheting off each other, but without the simulation)\n\nTo put this into another metaphor, this is like solving sudoku by simply gluing some 9 sided dice in place, and shaking the board with a bunch of other 9 sided dice until they settle into the correct values. Even doing this would be a chance of like one in billions or trillions of working. But because of the physics of the TSU, the correct configuration is the default result. 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Once you filter out the bots and trolls, what you're left with are a bunch of red pilled folks. \n\nHere's what I mean. \n\nYouTube, as a platform, wants a very specific kind of engagement bait - mostly hype. Feelgood stuff. Emotions. This isn't to throw shade at my fellow content creators, but there's a very strong inertia on YouTube that keeps you locked into content threads and trends. \n\nNot so on X. On X, the noosphere is hungry for genuine novelty and insight. It still gets distracted by rage and such (I have a ton of terms on my muted list). But X really does act as a better search algorithm for \"huh, yeah this is new signal in the noise\"\n\nSubstack is pretty bad because it's a platform that has convinced itself that it is high brow and erudite, but it cares more about emotions than any other platform. What sells on Substack? Personal essays, confessionals, and boilerplate analysis. My wife also points out it's being invaded by disaffected journalists who know how to write catnip. \n\nLinkedIn is, obviously, one of the worst because its given to moral grandstanding and virtue signaling and not much else. Everything has to be safe and curated for a professional sphere. \n\nBut like, I am working on breaking the news about Extropic's launch of a gamechanging technology and it pops off here on X. YouTube? Does okay. Same exact content, but only does okay. Does way below average on Substack. \n\nTo put it another way, X is the singular platform that seems to want actual answers. YouTube does have content that provides answers, but what really sells there is highly curated hype. Being mad sells on Substack and LinkedIn. \n\nSome of it will be algorithmic differences (but at a certain level The Algorithm is The Algorithm)\n\nThe rest of the differences will be other affordances like modalities available, discoverability, network effects, and population on platform. \n\nBut yeah, every other platform is totally asleep on thermodynamic computing and I'm like \"GUYS THIS IS THE HYPE YOU WANT\" but even those other platforms have a narrow Overton window. The Overton window on X is the size of a Hohmann transfer window (not infinite, but still bigger than the porthole of LinkedIn and the standard windows of Substack and YouTube). \n\nHigh variability, with potentially high payoff here, though mostly noise (like all platforms) BUT the filtration here is superior (muting entire terms helps). \n\nI'll have to be thinking about this from an epistemic/tribal 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pronouncement immediately triggers Murphy's Law and the Law of Unintended Consequences. \n\nExtraordinary claims require extraordinary evidence.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,153],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985796079984795814","quoted_status_permalink":{"url":"https://t.co/8mwOilCtBL","expanded":"https://twitter.com/nickfloats/status/1985796079984795814","display":"x.com/nickfloats/sta…"},"retweeted":false,"fact_check":null,"id":"1986106020951642388","view_count":7435,"bookmark_count":7,"created_at":1762359550000,"favorite_count":65,"quote_count":0,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1986106020951642388","full_text":"This is the kinda thing that I mean when I say if you want to be on the cutting edge, X is where to be. \n\nOff the cuff thoughts from all kinds of people.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Subscribers","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,195],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986133103127994586","view_count":5187,"bookmark_count":5,"created_at":1762366007000,"favorite_count":124,"quote_count":1,"reply_count":1,"retweet_count":7,"user_id_str":"1795781228399869952","conversation_id_str":"1986133103127994586","full_text":"A whole lotta sci-fi is gonna seem real quaint and obsolete. \n\n- old people and aging\n- evil AI and robots\n\nThose simply won't exist in the future\n\nBut FTL I think, will also be a forever 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chaff.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,209],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987493555632271805","quoted_status_permalink":{"url":"https://t.co/IHZwwRakvz","expanded":"https://twitter.com/DaveShapi/status/1987493555632271805","display":"x.com/DaveShapi/stat…"},"retweeted":false,"fact_check":null,"id":"1987495070501576989","view_count":4367,"bookmark_count":8,"created_at":1762690725000,"favorite_count":30,"quote_count":0,"reply_count":8,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987495070501576989","full_text":"To achieve Post-Labor Economics we need to bring the marginal utility of human labor to zero. \n\nThat means we need to work with organizations to automate as much labor as possible. \n\nThis is a nontrivial task.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/cI2Fr61tJK","expanded_url":"https://x.com/DaveShapi/status/1987493555632271805/video/1","id_str":"1987489635757363200","indices":[280,303],"media_key":"13_1987489635757363200","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1987489635757363200/img/lO4GLCg5fpDMGUbj.jpg","type":"video","url":"https://t.co/cI2Fr61tJK","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":1920,"resize":"fit"},"medium":{"h":675,"w":1200,"resize":"fit"},"small":{"h":383,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":1920,"focus_rects":[]},"video_info":{"aspect_ratio":[16,9],"duration_millis":1427933,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1987489635757363200/pl/ZXSxX7YmNSXHEjZW.m3u8?tag=21&v=0a1"},{"bitrate":256000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/480x270/HjUOLHw17ghYcpC4.mp4?tag=21"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/640x360/NYS0dgjq3en3XCXM.mp4?tag=21"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1280x720/6rRG3K4OXM8MTCn-.mp4?tag=21"},{"bitrate":10368000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1987489635757363200/vid/avc1/1920x1080/8GV77DD5bYDxh_9S.mp4?tag=21"}]},"media_results":{"result":{"media_key":"13_1987489635757363200"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987493555632271805","view_count":8936,"bookmark_count":40,"created_at":1762690364000,"favorite_count":62,"quote_count":5,"reply_count":2,"retweet_count":8,"user_id_str":"1795781228399869952","conversation_id_str":"1987493555632271805","full_text":"Why isn't AI adoption going faster?\n\nAcross industries and nations, a strange paradox is defining 2025.\n\nBusiness leaders—from the C-suite to the board—all seem to agree: generative AI is non-negotiable. They believe it is a key determinant for their company's 10-year viability. They know that being asleep at the wheel means they are going to lose the farm, basically, over the next decade.\n\nAnd yet, in the same breath, a vast majority—more than 80%—of these same leaders report seeing no significant bottom-line impact from their current AI investments.\n\nThis is the generative AI paradox. We see layoffs in HR and other sectors, partly driven by economic fears, but also by strategic plans to automate. We hear of massive leaked goals from companies like Amazon to slash workforce needs with AI and robotics.\n\nThe belief is there. The technology is here. So why is this transformation taking so much longer than everyone would like?\n\nFor anyone in tech, this pattern is familiar. We saw it with the personal computer, the internet, mobile, and the cloud. New technologies always have false starts before they suddenly become the default. Right now, we are in that \"false start\" phase, asking: How do we actually use this, and how do we prove the ROI?\n\nBased on discussions with business leaders and deep research, the problem boils down to a few key bottlenecks. Here are the eight points every decision-maker needs to understand.\n\n1. The Paradox: We Believe in AI, But We See No Impact\n\nThe core of the problem is this massive cognitive dissonance. The C-suite and board of directors are convinced AI is the future, but they aren't realizing any discernible impact on the bottom line today. This disconnect is creating frustration and stalling momentum, even for the internal champions like CIOs and CTOs who see the value.\n\n2. The Real Bottleneck: Measurement, Not Technology\n\nThe single biggest obstacle isn't the AI itself. It's the measurement crisis. We are facing a paralysis in measurement, a profound difficulty in estimating and demonstrating the value of our AI initiatives. How do you truly measure what this new tool is doing?\n\nThe problem is so pronounced that research firm Gartner predicts that 30% of generative AI projects will be abandoned simply because there is \"unclear business value\".\n\nImagine trying to justify the ROI of email in 1995. What's the business value of chat? At some point, these tools become an expected cost of doing business. This is the great fear: that AI will just become another infrastructure cost center we all have to pay for, like Office 365, rather than a true center of excellence that drives value.\n\n3. The Horizontal vs. Vertical Trap\n\nWhen companies do try to get value, they often fall into one of two traps, paralyzing their ROI.\n\nThe first is the Horizontal \"Peanut Butter\" Approach. This is where you just \"give everyone in the organization a chatbot\" and hope for the best. You roll out a Co-pilot to every employee and tell them to \"go forth and be productive\". Studies show this can save individuals 20 to 95 minutes a day. But are they reinvesting that saved time into value-added work, or are they just... doing nothing with that extra time? This approach spreads value so thinly across thousands of micro-tasks that it doesn’t impact a single, major value stream. The law of constraints says that unless you improve efficiency at a core bottleneck, the overall system throughput doesn't improve.\n\nThe second is the Vertical \"Spear\" Approach. This is the opposite. It’s an expert agent or bespoke project designed to replace or transform one specific, core business process. These projects have very clear ROI and defined scopes. The problem? An estimated 90% of these high-value projects get stuck in pilot mode. They fail to scale because they can't handle real-world exceptions or they end up creating more validation work downstream.\n\n4. The \"Belief-Changing\" Win Comes from Spears, Not Peanut Butter\n\nSo, how do you move the needle? The data shows belief-changing wins come from \"spears,\" not peanut butter. A belief-changing win is that \"splash of cold water on the face\" moment where leadership says, \"Okay, I get it. What's next?\".\n\nThis isn't a \"moonshot\" to solve every problem. It’s a single, highly targeted spear attack that automates a high-cost, clearly understood internal bottleneck.\n\nWe've seen two perfect examples of this. JPMorgan Chase's COIN, which stands for Contract Intelligence, didn't try to reinvent finance. It automated one incredibly tedious task: reviewing complex legal contracts. This single platform saved an estimated 360,000 work-hours annually. That is a win that changes beliefs.\n\nSimilarly, Novo Nordisk's NorvoScribe targeted another painful bottleneck: creating regulatory reports for clinical trials. Their AI tool cut a process that routinely took 12 weeks per report down to just 10 minutes.\n\nThis is often confusing for individuals who are seeing massive gains. As a professional, I'm 10 times more productive because I bounce between four different AI subscriptions all day. But not every role is like that, and not every person has the time or permission to optimize their own workflow. This is why simple documentation and \"lunch and learn\" sessions are critical; people are afraid to use tools when they don't know what they're allowed to do.\n\n5. \"Time Saved\" Is a Vanity Metric. The Real KPI Is \"Capacity Captured.\"\n\nFor decades, automation engineers have used \"time saved\" as their primary metric. This research shows that's a mistake.\n\n\"Time saved\" is a vanity metric.\n\nIf an employee does eight hours of work in one hour, then scrolls Reddit for the next seven, did the business gain anything? No. That time wasn't reinvested.\n\nThe true metric is \"realized hours\" or \"capacity captured\". You shouldn't be asking, \"How many hours did we save?\" You should be asking, \"How many effective hours of work are we getting done?\".\n\nImagine you have 10 employees working 8-hour days. Your baseline is 80 hours of labor per week. Your goal with AI isn't to get that 80 hours of work done in 40. Your goal is to get 200, 400, or even 800 effective hours of work out of those 10 employees in their 40-hour week. That is the metric that will change the bottom line.\n\n6. AI Is a \"Bottleneck-Shifting Machine\"\n\nAccording to the Theory of Constraints, any improvement not made at the system's core bottleneck will not improve the system's overall throughput. Furthermore, when you do alleviate one bottleneck, the pressure just shifts to the next one.\n\nAI is a bottleneck-shifting machine.\n\nA brilliant example is GitHub Copilot. It made developers 55% faster at writing code. A huge win, right? Wrong. The bottleneck just shifted. Because developers were pumping out so much more code, code review times spiked by 91%. Now you need AI to do the reviews, too.\n\nThe path to ROI isn't a single automation; it's a relentless game of whack-a-mole. Even with JP Morgan's COIN, processing infinite contracts just moves the bottleneck somewhere else. You have to find and eliminate one constraint after the next.\n\n7. The Most Defensible ROI Might Be Human-Centric\n\nThis may be hard for finance-minded leaders to hear, but the most defensible ROI might not be about time or money at all. It might be human-centric.\n\nNow, I personally disagree that this should be the primary focus, but its value is undeniable. Instead of only looking at the top or bottom line, look at factors like developer satisfaction, burnout levels, reported \"flow states,\" and talent retention.\n\nYour human capital is incredibly valuable. If these AI tools make your employees' lives better, reduce their burnout, and make them happier to come to work, that is a massive win. As someone who has experienced burnout, I can tell you that if I were still in infrastructure automation today with these AI tools, I would be having so much fun I'd probably never have left. Retention is a definitive signal that most organizations take very seriously.\n\n8. Governance Is the Real Gatekeeper\n\nFinally, the biggest bottleneck in your organization probably isn't the CIO or the CEO. It's the CFO, the Chief Legal Officer, and the Chief HR Officer. Governance is the primary gatekeeper to realizing AI's value.\n\nThe CFO says, \"Show me the money. Prove the ROI\". The Chief Legal Officer and CHRO say, \"Show me this is legal, compliant, and ethical\".\n\nIt's tempting to frame them as the \"bad guys\" slowing down progress. I don't agree with that. They are doing their jobs. It is literally their job to ensure that everything is done correctly and with the utmost discretion.\n\nThis tension is healthy. It forces the tech evangelists to go back to the drawing board, move past the hype, and build solutions that are not just innovative, but also provably valuable, legal, and ethical. That is how you find the real, sustainable wins.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,170],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987179633935356046","quoted_status_permalink":{"url":"https://t.co/Q5TeZQ0UFe","expanded":"https://twitter.com/theepicmap/status/1987179633935356046","display":"x.com/theepicmap/sta…"},"retweeted":false,"fact_check":null,"id":"1987503554500644877","view_count":5786,"bookmark_count":2,"created_at":1762692748000,"favorite_count":17,"quote_count":3,"reply_count":1,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987503554500644877","full_text":"You know all those charts that show poverty and childhood mortality declining over the last century and people are like \"wow I love capitalism\"\n\nHow do they explain this?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,79],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987494315283878095","view_count":4685,"bookmark_count":1,"created_at":1762690545000,"favorite_count":41,"quote_count":4,"reply_count":3,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987494315283878095","full_text":"The deepest rabbit hole right now is lowkey \"why do we keep making sexy robots\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987400807138947136","quoted_status_permalink":{"url":"https://t.co/CSGJ5AxXur","expanded":"https://twitter.com/emollick/status/1987400807138947136","display":"x.com/emollick/statu…"},"retweeted":false,"fact_check":null,"id":"1987550339348771257","view_count":8825,"bookmark_count":8,"created_at":1762703902000,"favorite_count":58,"quote_count":2,"reply_count":0,"retweet_count":5,"user_id_str":"1795781228399869952","conversation_id_str":"1987550339348771257","full_text":"\"Let the obstacle become the way\"\n\nMarcus Aurelius","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987597582097584501","quoted_status_permalink":{"url":"https://t.co/lEj9XFrwAv","expanded":"https://twitter.com/bryan_johnson/status/1987597582097584501","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987610041176727650","view_count":188124,"bookmark_count":16,"created_at":1762718136000,"favorite_count":383,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987610041176727650","full_text":"It's about 50 minutes since his come up, so he's probably peaking pretty hard right now","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,264],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987624591402164524","quoted_status_permalink":{"url":"https://t.co/G0RVxDVgnw","expanded":"https://twitter.com/bryan_johnson/status/1987624591402164524","display":"x.com/bryan_johnson/…"},"retweeted":false,"fact_check":null,"id":"1987641647598014947","view_count":12408,"bookmark_count":2,"created_at":1762725672000,"favorite_count":63,"quote_count":0,"reply_count":5,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987641647598014947","full_text":"The jar is a metaphor for reality. \n\nWe are the water within. \n\nWe take the shape of that container. \n\nAnd we're tossed about as the container tumbles through reality. \n\nBut we will never experience the greater reality. \n\nUntil someone outside...\n\n...opens the jar","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,15],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1980765809338147193","quoted_status_permalink":{"url":"https://t.co/Nyos2HBvMy","expanded":"https://twitter.com/elonmusk/status/1980765809338147193","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1987596450096882118","view_count":12178,"bookmark_count":10,"created_at":1762714896000,"favorite_count":186,"quote_count":2,"reply_count":0,"retweet_count":11,"user_id_str":"1795781228399869952","conversation_id_str":"1987596450096882118","full_text":"This is the Way","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987596064258503036","view_count":6239,"bookmark_count":28,"created_at":1762714804000,"favorite_count":102,"quote_count":3,"reply_count":21,"retweet_count":9,"user_id_str":"1795781228399869952","conversation_id_str":"1987596064258503036","full_text":"A brief Post-Labor Economics manifesto. \n\nWhen automation becomes better, faster, cheaper, and safer than humans at any given task, it inevitably subsumes labor. \n\nThis is the definition of automation - \"labor-saving technology\"\n\nToday we are watching, in real time, as automation surpasses the remaining dimensions of human economic agency. There are four \"food groups\" that we offer the economy in exchange for wages: strength, dexterity, cognition, and empathy. \n\nPost-Labor Economics merely recognizes this reality and asks the question \"how will individuals and families make ends meet when they have nothing left to sell?\" \n\nHence the name, Post-Labor Economics. Not Post-Scarcity. Not Utopian. Labor is the exchange of human effort for pay, and this is what is going away. \n\nNow, there are many dimensions to Post-Labor Economics. \n\nThe first, and perhaps most obvious one, is money. For the last several centuries, wages and property have been the two primary ways to allocate wealth across society. Without wages, we need alternatives. This includes dividends from sovereign wealth funds and other means of redistribution and predistribution of capital. \n\nThe second, and less obvious pillar of Post-Labor Economics is that of power. For much of recent history, the ability to withhold labor was a linchpin in our civil toolkit. Labor strikes, unions, and halting production was a way to make small voices very loud, but this will era will be sunsetting. Many rightly fear such a future, where the \"permanent underclass\" remains voiceless for the rest of human civilization. Thus, decentralized power, radical transparency, and new forms of collective bargaining are required under Post-Labor Economics. \n\nThird, and more immediately, is the promise of Post-Labor, which in the first place, necessitates the abolition of human labor. But rather than putting the cart before the horse, as many failed ideological movements do, we must foreground the technology, the policies, and the practices that instead liberate us from labor, rather than abolish it. \n\nWhat this means is bringing businesses of all stripes into the fold of Post-Labor Economics, to chart the path towards a future where the provision of goods and services is done cheaply, and with minimal human input. The flipside of this is that the consumers and voters need leverage, both in the form of money but also political power. \n\nIt is not about putting the cart before the horse, but rather, diligently and conscientiously moving together, as one, in lockstep towards this future. \n\nMany aspects of this future seem inevitable; that AI and robotics will continue to improve and proliferate is all but guaranteed. What is not guaranteed, however, is that power and wealth will be rebalanced throughout society. Further, it is not guaranteed that this future will arrive smoothly. \n\nThis is the work of Post-Labor Economics. \n\nAre you with me?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,23],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/UV4ONeUKB1","expanded_url":"https://x.com/DaveShapi/status/1987599512332832867/photo/1","id_str":"1987599464748429312","indices":[24,47],"media_key":"3_1987599464748429312","media_url_https":"https://pbs.twimg.com/media/G5VfLrQWMAAxo54.png","type":"photo","url":"https://t.co/UV4ONeUKB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":698,"w":677,"resize":"fit"},"medium":{"h":698,"w":677,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":698,"width":677,"focus_rects":[{"x":0,"y":317,"w":677,"h":379},{"x":0,"y":21,"w":677,"h":677},{"x":0,"y":0,"w":612,"h":698},{"x":0,"y":0,"w":349,"h":698},{"x":0,"y":0,"w":677,"h":698}]},"media_results":{"result":{"media_key":"3_1987599464748429312"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987599512332832867","view_count":2570,"bookmark_count":2,"created_at":1762715626000,"favorite_count":17,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987599512332832867","full_text":"Don't touch my garbage! https://t.co/UV4ONeUKB1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,44],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/P42VdvxXmW","expanded_url":"https://x.com/DaveShapi/status/1987587412818612715/photo/1","id_str":"1987587346712141824","indices":[45,68],"media_key":"3_1987587346712141824","media_url_https":"https://pbs.twimg.com/media/G5VUKUDWoAAVnw8.png","type":"photo","url":"https://t.co/P42VdvxXmW","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":496,"w":496,"resize":"fit"},"medium":{"h":496,"w":496,"resize":"fit"},"small":{"h":496,"w":496,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":496,"width":496,"focus_rects":[{"x":0,"y":0,"w":496,"h":278},{"x":0,"y":0,"w":496,"h":496},{"x":61,"y":0,"w":435,"h":496},{"x":248,"y":0,"w":248,"h":496},{"x":0,"y":0,"w":496,"h":496}]},"media_results":{"result":{"media_key":"3_1987587346712141824"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987587412818612715","view_count":2815,"bookmark_count":2,"created_at":1762712741000,"favorite_count":39,"quote_count":0,"reply_count":0,"retweet_count":3,"user_id_str":"1795781228399869952","conversation_id_str":"1987587412818612715","full_text":"Signs of a failed state. \n\nWe can do better. https://t.co/P42VdvxXmW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,106],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987248084665967038","quoted_status_permalink":{"url":"https://t.co/JDr5j8hF2k","expanded":"https://twitter.com/NewsWire_US/status/1987248084665967038","display":"x.com/NewsWire_US/st…"},"retweeted":false,"fact_check":null,"id":"1987322270616805419","view_count":4911,"bookmark_count":1,"created_at":1762649526000,"favorite_count":44,"quote_count":1,"reply_count":0,"retweet_count":2,"user_id_str":"1795781228399869952","conversation_id_str":"1987322270616805419","full_text":"Remember, all this is because the GOP is complicit in Trump's desire to avoid releasing the Epstein files.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"17468569","name":"Bryan Johnson","screen_name":"bryan_johnson","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"bryan_johnson","lang":"en","retweeted":false,"fact_check":null,"id":"1987597801358778749","view_count":12042,"bookmark_count":0,"created_at":1762715218000,"favorite_count":46,"quote_count":0,"reply_count":1,"retweet_count":1,"user_id_str":"1795781228399869952","conversation_id_str":"1987594468544192942","full_text":"@bryan_johnson When the come up hits just right","in_reply_to_user_id_str":"17468569","in_reply_to_status_id_str":"1987597582097584501","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,74],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1221869640516874241","name":"YIMBYLAND","screen_name":"YIMBYLAND","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"YIMBYLAND","lang":"en","retweeted":false,"fact_check":null,"id":"1987600457712238783","view_count":2848,"bookmark_count":0,"created_at":1762715851000,"favorite_count":59,"quote_count":0,"reply_count":7,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987554939787235381","full_text":"@YIMBYLAND Too bad Texas is hard at work trying to go back to the iron age","in_reply_to_user_id_str":"1221869640516874241","in_reply_to_status_id_str":"1987554939787235381","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,76],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1734464675788800000","name":"Romy","screen_name":"Romy_Holland","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"Romy_Holland","lang":"en","retweeted":false,"fact_check":null,"id":"1987637440115249397","view_count":3017,"bookmark_count":0,"created_at":1762724668000,"favorite_count":18,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987631430541930694","full_text":"@Romy_Holland Or you could just get good at supervising the kamikaze machine","in_reply_to_user_id_str":"1734464675788800000","in_reply_to_status_id_str":"1987631430541930694","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-11","value":39458,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,166],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987871203013325085","view_count":4194,"bookmark_count":6,"created_at":1762780402000,"favorite_count":113,"quote_count":5,"reply_count":0,"retweet_count":10,"user_id_str":"1795781228399869952","conversation_id_str":"1987871203013325085","full_text":"Even when AI is good enough to take their job, some shmuck is gonna be like BuT ItS Not acTUAlLY aGI\n\nAt a certain point, arguing semantics serves no further purpose.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"conversation_control":{"policy":"Community","conversation_owner_results":{"result":{"__typename":"User","core":{"screen_name":"DaveShapi"}}}},"display_text_range":[0,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1987870470612398588","view_count":2210,"bookmark_count":0,"created_at":1762780227000,"favorite_count":7,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987870470612398588","full_text":"WHY IS MY INTERNET SO SLOW TODAY","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}],"symbols":[],"timestamps":[],"urls":[{"display_url":"daveshap.substack.com/p/why-youre-co…","expanded_url":"https://daveshap.substack.com/p/why-youre-completely-screwed-in-the","url":"https://t.co/SXEfE1NZRQ","indices":[7351,7374]}],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/zTa4fRpHTy","expanded_url":"https://x.com/DaveShapi/status/1987903439016267926/photo/1","id_str":"1987903381554311168","indices":[277,300],"media_key":"3_1987903381554311168","media_url_https":"https://pbs.twimg.com/media/G5Zzl9lXsAA92e-.jpg","type":"photo","url":"https://t.co/zTa4fRpHTy","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1024,"w":1024,"resize":"fit"},"medium":{"h":1024,"w":1024,"resize":"fit"},"small":{"h":680,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1024,"width":1024,"focus_rects":[{"x":0,"y":0,"w":1024,"h":573},{"x":0,"y":0,"w":1024,"h":1024},{"x":63,"y":0,"w":898,"h":1024},{"x":256,"y":0,"w":512,"h":1024},{"x":0,"y":0,"w":1024,"h":1024}]},"media_results":{"result":{"media_key":"3_1987903381554311168"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1987903439016267926","view_count":32989,"bookmark_count":123,"created_at":1762788087000,"favorite_count":209,"quote_count":12,"reply_count":58,"retweet_count":43,"user_id_str":"1795781228399869952","conversation_id_str":"1987903439016267926","full_text":"Why you're COMPLETELY SCREWED in the long run \n\nI get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.\n\nAs a quick recap, the entire reason it's called \"post-labor economics\" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a \"labor market,\" where job seekers and employers optimize their market value. That’s how the whole thing works.\n\nIn the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, \"Wow, you're saying I have no agency and there's nothing I can do.\"\n\nAnd yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.\n\n\"But What About New Jobs?\"\n\nPeople always ask, \"What about jobs being created or jobs flowing to new areas?\" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the \"labor refugees.\"\n\nDepending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.\n\nPeople don't like it when you say, \"Hey, there's nothing you can do to ensure you have a job.\" This is one of the core concessions of post-labor economics. People get anxious and say, \"Dave, tell me what to do!\" And when I say, \"There's literally nothing you can do,\" they don't like that.\n\nThis leads them to the core trap: they try to look at it as an individual problem. They start to say, \"Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?\"\n\nThe Fallacy of Individual Fixes\n\nThe first reaction is, \"Well, what about our data?\" Sorry, but your data is only worth about $300 a year. Even if you create a \"data union\" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.\n\nThe next idea is, \"What if we all become influencers in the attention economy?\" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, \"winners take most\" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.\n\nThen there's the idea of consumer cooperatives, where consumers band together to \"purchase to own.\" But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.\n\nThe Only Solution is Systemic\n\nThis is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.\n\nThis means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.\n\nOf course, the moment you say that, you have people who cry \"manglement\" and say \"a centrally planned economy is not good.\" And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.\n\nThe End of Labor's Leverage\n\nThis gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.\n\nAll of those levers are going away.\n\nNot too long from now, labor strikes aren't going to mean anything. It'll be: \"Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back.\"\n\nThe moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, \"I'm a human and I deserve to live.\" And the response will be, \"Okay, well, what are you going to give us in exchange for food and housing?\" And the answer will be, \"...I don't have anything that's valuable anymore.\"\n\nThis means we need a fundamentally different theory of human value. You might say, \"Well, the obvious solution is we all have intrinsic value.\" That is a great, fantastic, philosophical stance. But how do you make a policy around that? \"Everyone deserves food and education.\" Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?\n\nThe Default Path\n\nI'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the \"you will own nothing and be happy,\" rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.\n\nWhat I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.\n\nIt's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a \"boiled frog\" syndrome.\n\nWe still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?\n\nThis whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.\n\nThat's the long and short of it. This is a collective issue. This is a systemic-level issue.\n\nThe end.\n\nFull podcast: https://t.co/SXEfE1NZRQ","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,88],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1556550048862928898","name":"Beff – e/acc","screen_name":"beffjezos","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"beffjezos","lang":"en","retweeted":false,"fact_check":null,"id":"1987871380453437730","view_count":65,"bookmark_count":0,"created_at":1762780444000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1795781228399869952","conversation_id_str":"1987683809064898768","full_text":"@beffjezos Sequoia capital has that mindset. 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