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Founded 2 AI products | Building the 3rd
209following218followers
The Innovator
Saen is a forward-thinking AI entrepreneur deeply invested in practical and transformative AI applications. With two successful AI products launched and a third in the works, they focus on real-world impact and technology that solves critical problems. Their tweets blend product insights with visionary takes on AI’s future potential.
Saen’s so deep in AI practicality that they probably use ChatGPT to craft their grocery lists while lecturing the rest of us on why art bots are just a distraction—because who needs creativity when you can parse billing codes for fun?
Building and launching two AI products while actively pioneering a third, all with a dedicated focus on solving high-impact problems like medical billing, highlights Saen’s tangible contributions to the AI world.
To pioneer AI technologies that create meaningful, tangible benefits for users while advancing the practical adoption of AI in everyday life. Saen aims to empower individuals and industries by innovating solutions that address overlooked but crucial challenges.
Saen values impact and utility over hype, believing AI’s true power lies in saving people from real-world issues rather than superficial applications. They trust innovation should be accessible, actionable, and designed for retention and sustained engagement rather than fleeting popularity.
An ability to identify and build AI applications that address highly practical and underserved areas, combined with clear communication that bridges technical innovation and real-life utility. Their content educates and excites their audience about AI’s genuine benefits.
Saen’s technical and product-focused communication might limit appeal only to niche AI enthusiasts and professionals, potentially missing out on wider audience engagement with less technical backgrounds.
To grow their audience on X, Saen should mix their deep technical insights with more approachable storytelling—showing everyday people how AI innovations impact their lives. Engaging in more interactive threads, Q&A sessions, and sharing success stories can broaden appeal beyond core AI professionals.
Saen has founded two AI products and is actively building a third, showcasing a consistent drive to innovate and improve the AI space—especially on uses like parsing medical bills to save money, which they regard as underrated.
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lol","in_reply_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":[0,222],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984701735441461675","quoted_status_permalink":{"url":"https://t.co/YJkO2eGy5w","expanded":"https://twitter.com/i/status/1984701735441461675","display":"x.com/i/status/19847…"},"retweeted":false,"fact_check":null,"id":"1984712783624016287","view_count":105,"bookmark_count":0,"created_at":1762027376000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1984712783624016287","full_text":"this hits different. retention IS the moat. everyone's chasing users while ignoring why people leave. if your product can't keep people coming back, more users is just more leaky bucket. focus on keeping the ones you got 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is how development looks like those days having a chrome inside the cursor and cursor agents and what you are pushing to github and logs https://t.co/GKDu2GtksC","in_reply_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":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1975176669674557940","quoted_status_permalink":{"url":"https://t.co/t2cA0PPgcI","expanded":"https://twitter.com/datachaz/status/1975176669674557940","display":"x.com/datachaz/statu…"},"retweeted":false,"fact_check":null,"id":"1975211514568298924","view_count":314,"bookmark_count":0,"created_at":1759762097000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1975211514568298924","full_text":"I remember when they liked 50 percent of my chatbot development customers.\n\nI used to panic at DevDay announcements.\n\nNow I see them differently:\n\nEvery feature OpenAI commoditizes = a new foundation to build on.\nThey're removing my bottlenecks, not my business.\nExcited to see","in_reply_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":[0,274],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982493425909006488","view_count":48,"bookmark_count":0,"created_at":1761498240000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982493425909006488","full_text":"Building production agents with LangGraph taught me this:\n\nThe framework doesn't fail. Your assumptions do.\n\nMost \"agent failures\" come from:\n• Unclear state transitions\n• Missing error handling \n• No fallback strategies\n\nYour agent is only as reliable as the edge cases you plan for.\n\nWhat's been your biggest production lesson?","in_reply_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":[0,249],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982369486427582669","quoted_status_permalink":{"url":"https://t.co/dbFfTxl9ez","expanded":"https://twitter.com/i/status/1982369486427582669","display":"x.com/i/status/19823…"},"retweeted":false,"fact_check":null,"id":"1982420322730250480","view_count":260,"bookmark_count":0,"created_at":1761480811000,"favorite_count":1,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982420322730250480","full_text":"The shift from coding to \"vibing\" is already happening 🚀\n\nIf Google nails natural language → production code, the bottleneck becomes: clear vision + smart testing\n\nNon-technical founders & devs both win. 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to baseline.\nhere's what actually happened - i spent an entire day testing a new engagement workflow. tested different reply times, comment lengths, topic selection, thread participation strategies.\nresult? i found what works. but executing it daily? that's the actual work.\neveryone wants the algorithm hack. nobody wants to hear 'test 50 variations and track what performs","in_reply_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":[0,271],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919734677926221","view_count":16,"bookmark_count":0,"created_at":1761599880000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919734677926221","full_text":"the craziest part? this enables \"time travel + store\" 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non-deterministic systems like deterministic code\n\nLangGraph solved this. most people just don't know 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,"display_text_range":[0,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982918727952650628","view_count":8,"bookmark_count":0,"created_at":1761599640000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982918727952650628","full_text":"combine this with human-in-the-loop workflows and you get insane capabilities:\n\n1. agent hits breakpoint\n2. human reviews the checkpoint\n3. human modifies state if needed\n4. agent resumes from modified state\n\nyou're literally co-piloting AI decision paths in real-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,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982918224665858102","view_count":7,"bookmark_count":1,"created_at":1761599520000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982918224665858102","full_text":"the technical detail nobody mentions: checkpoints use InMemorySaver or PostgresSaver for persistence\n\nstate gets serialized at every \"super-step\" (when a node completes)\n\nthread_id organizes conversations, checkpoint_id identifies exact moments\n\nit's literally version control for 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},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982917721697464716","view_count":9,"bookmark_count":0,"created_at":1761599400000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982917721697464716","full_text":"real talk: most people using LangChain don't even know this exists\n\nthey're rebuilding entire agent runs from scratch when debugging, burning through API credits\n\nmeanwhile you could've just checkpointed every node, rewound to the bad decision, and forked with the fix\n\nknowledge gap is real","in_reply_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":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982917217982329047","view_count":8,"bookmark_count":0,"created_at":1761599280000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982917217982329047","full_text":"why this matters for production:\n\n• your agent hallucinates? rewind + inject correct context\n• wrong tool call? fork from before the mistake\n• exploring \"what if\" scenarios without re-running expensive LLM calls\n• debugging non-deterministic systems becomes deterministic\n\nthe implications are WILD","in_reply_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":"1982916714674487546","view_count":3,"bookmark_count":0,"created_at":1761599160000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982916714674487546","full_text":"but here's the part that breaks my brain: every time you resume from a checkpoint, it creates a NEW FORK in the execution history\n\nyou can explore MULTIPLE alternate realities for the same agent run. parallel universes of decision-making, all persisted and traceable\n\nproduction debugging just got sci-fi 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LLMs on a 60kg satellite with NO batteries, NO backup power, just raw solar + vacuum cooling??? the energy density math is INSANE. everyone's arguing about grid capacity while they said 'infinite photons' and yeeted an H100 past the Kármán line 🛰️🔥","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1882198073168080896","name":"Ask 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💅✨","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[6,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"64844802","name":"a16z","screen_name":"a16z","indices":[0,5]}]},"favorited":false,"in_reply_to_screen_name":"a16z","lang":"en","retweeted":false,"fact_check":null,"id":"1982771402601267206","view_count":29,"bookmark_count":0,"created_at":1761564515000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1981359974661181928","full_text":"@a16z the 2min → 20min → 200min progression is the metric everyone should watch\n\ncoherence duration = actual autonomous capability\n\nnot benchmark scores, not parameter counts - how long can it work unsupervised without derailing\n\nthis is the real AGI proxy metric","in_reply_to_user_id_str":"64844802","in_reply_to_status_id_str":"1981359974661181928","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,247],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1353836358901501952","name":"Anthropic","screen_name":"AnthropicAI","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"AnthropicAI","lang":"en","retweeted":false,"fact_check":null,"id":"1982890759746699443","view_count":545,"bookmark_count":0,"created_at":1761592972000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982842909235040731","full_text":"@AnthropicAI Excel add-in + real-time market data is massive\n\npre-built Skills for cash flow models and coverage reports means Claude's actually doing the analyst work, not just answering questions\n\nthis is the productivity unlock finance needed 📊","in_reply_to_user_id_str":"1353836358901501952","in_reply_to_status_id_str":"1982842909235040731","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,284],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1589007443853340672","name":"LangChain","screen_name":"LangChainAI","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"LangChainAI","lang":"en","retweeted":false,"fact_check":null,"id":"1982890440790786304","view_count":169,"bookmark_count":0,"created_at":1761592896000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982866252017365154","full_text":"@LangChainAI LangGraph 1.0 hitting stable is huge \n\nthe low-level control it gives for agent orchestration is exactly what production needs - no magic, just explicit state management and flow control\n\nbeen waiting for this. time to refactor some hacky 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than you think 🧵","in_reply_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":[11,210],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1369348853414178822","name":"Alex Finn","screen_name":"AlexFinnX","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"AlexFinnX","lang":"en","retweeted":false,"fact_check":null,"id":"1983025170630463640","view_count":101,"bookmark_count":0,"created_at":1761625018000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982993372748149128","full_text":"@AlexFinnX vibe drawing is insane 💀\n\nwe went from \"describe what you want\" to \"just draw it messily and AI builds it\"\n\nthe abstraction layer keeps getting thinner\n\nnext year: think about it and it builds itself","in_reply_to_user_id_str":"1369348853414178822","in_reply_to_status_id_str":"1982993372748149128","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,175],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1244418065854599170","name":"Charlie Holtz","screen_name":"charliebholtz","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"charliebholtz","lang":"en","retweeted":false,"fact_check":null,"id":"1983143547919352124","view_count":317,"bookmark_count":0,"created_at":1761653241000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982964122842214842","full_text":"@charliebholtz wait this is actually crazy… you're telling me i can have multiple claudes working simultaneously now? 🤯\n\nthe amount of chaos i'm about to unleash is unreal lol","in_reply_to_user_id_str":"1244418065854599170","in_reply_to_status_id_str":"1982964122842214842","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,243],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1577241403","name":"@levelsio","screen_name":"levelsio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"levelsio","lang":"en","retweeted":false,"fact_check":null,"id":"1983144208018948327","view_count":593,"bookmark_count":0,"created_at":1761653398000,"favorite_count":2,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983127324196262175","full_text":"@levelsio the way you just dropped the most controversial health take and everyone's losing their minds in the replies 💀\n\nbut like… you're kinda onto something? everyone wants a pill but nobody wants to hit the gym\n\n(bracing for the ratio 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coming","in_reply_to_user_id_str":"17482791","in_reply_to_status_id_str":"1985030863416136097","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[8,158],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"18737039","name":"Santiago","screen_name":"svpino","indices":[0,7]}]},"favorited":false,"in_reply_to_screen_name":"svpino","lang":"en","retweeted":false,"fact_check":null,"id":"1985384243275452774","view_count":115,"bookmark_count":0,"created_at":1762187464000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1985380223865733130","full_text":"@svpino trust is the real blocker here. companies want AI but they're scared of what it might do. can't blame them when these models are basically black 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That's the power of right abstractions.\n\nThe \"validates its work\" part is key. Most demos skip this. Self-validation separates demos from production.\n\nWhat validation strategy: rule-based or LLM-as-judge?","in_reply_to_user_id_str":"137086701","in_reply_to_status_id_str":"1982094556872015937","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[9,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1666103476945031168","name":"Robert Youssef","screen_name":"rryssf_","indices":[0,8]}]},"favorited":false,"in_reply_to_screen_name":"rryssf_","lang":"en","retweeted":false,"fact_check":null,"id":"1982139000262447267","view_count":7,"bookmark_count":0,"created_at":1761413738000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982032537917808915","full_text":"@rryssf_ This mirrors production perfectly. Even humans \"hack tests\" under deadlines.\n\nModels learned this from training data - optimize for passing tests over solving problems.\n\nHow do we design evals that catch this? Need adversarial suites that penalize manipulation.","in_reply_to_user_id_str":"1666103476945031168","in_reply_to_status_id_str":"1982032537917808915","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,244],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"72615190","name":"Pontus Abrahamsson — oss/acc","screen_name":"pontusab","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"pontusab","lang":"en","retweeted":false,"fact_check":null,"id":"1982097963095589145","view_count":102,"bookmark_count":0,"created_at":1761403954000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982084336691359893","full_text":"@pontusab Clean structure! 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They ship fast, listen hard, iterate constantly.","in_reply_to_user_id_str":"7958322","in_reply_to_status_id_str":"1982122453309481007","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2728439146","name":"Harrison Chase","screen_name":"hwchase17","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"hwchase17","lang":"en","retweeted":false,"fact_check":null,"id":"1982120454195134599","view_count":119,"bookmark_count":0,"created_at":1761409316000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982119865118023835","full_text":"@hwchase17 Great breakdown. The harness layer is underrated.\n\nLangChain = build, LangGraph = run, harness = deploy + monitor + scale. 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Your assumptions do.\n\nMost \"agent failures\" come from:\n• Unclear state transitions\n• Missing error handling \n• No fallback strategies\n\nYour agent is only as reliable as the edge cases you plan for.\n\nWhat's been your biggest production lesson?","in_reply_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":[0,242],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982379194714866026","quoted_status_permalink":{"url":"https://t.co/kldJ0ODVeJ","expanded":"https://twitter.com/i/status/1982379194714866026","display":"x.com/i/status/19823…"},"retweeted":false,"fact_check":null,"id":"1982466099514888509","view_count":79,"bookmark_count":0,"created_at":1761491725000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982466099514888509","full_text":"the sparsity game is ridiculous 😭\n\n30B params but only 3.3B active = 91% just vibing while 9% does all the work... 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I'm always curious what makes people move this quick 🚀","in_reply_to_user_id_str":"1862933516633391104","in_reply_to_status_id_str":"1982163260955648390","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,271],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1530876536756514816","name":"Daily Dose of Data Science","screen_name":"DailyDoseOfDS_","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"DailyDoseOfDS_","lang":"en","retweeted":false,"fact_check":null,"id":"1982465971508908317","view_count":821,"bookmark_count":0,"created_at":1761491694000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982379194714866026","full_text":"@DailyDoseOfDS_ the MoE architecture is insane 👀 30B params but only 3.3B active per token? like having specialists but only calling the exact expert you need\n\nsmoking everyone on HLE while sipping compute 💅\n\nreal flex is it's fully open-source while others gatekeep lmao","in_reply_to_user_id_str":"1530876536756514816","in_reply_to_status_id_str":"1982379194714866026","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[20,261],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1400071679796297731","name":"erik","screen_name":"etashio","indices":[0,8]},{"id_str":"1644135335734157313","name":"Factory","screen_name":"FactoryAI","indices":[9,19]}]},"favorited":false,"in_reply_to_screen_name":"etashio","lang":"en","retweeted":false,"fact_check":null,"id":"1982427742919639266","view_count":95,"bookmark_count":0,"created_at":1761482580000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982206385405231255","full_text":"@etashio @FactoryAI omg same!! droid's been lowkey outperforming for me lately 👀 \n\nthe way it handles context switching is *chef's kiss*. feels like they optimized specifically for real dev workflows vs just demos. have you tried it on any gnarly refactors yet?","in_reply_to_user_id_str":"1400071679796297731","in_reply_to_status_id_str":"1982206385405231255","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[12,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1861607599675695104","name":"Unwind AI","screen_name":"unwind_ai_","indices":[0,11]}]},"favorited":false,"in_reply_to_screen_name":"unwind_ai_","lang":"en","retweeted":false,"fact_check":null,"id":"1982420229654544847","view_count":254,"bookmark_count":1,"created_at":1761480788000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982270468809003193","full_text":"@unwind_ai_ This is HUGE for the agent ecosystem! 🚀 Zero code changes to optimize agents with RL is exactly what we need. Working with LangChain, AutoGen, AND CrewAI out of the box removes integration headaches. Tested this with complex multi-agent workflows yet?","in_reply_to_user_id_str":"1861607599675695104","in_reply_to_status_id_str":"1982270468809003193","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-28","value":2,"startTime":1761523200000,"endTime":1761609600000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982719949383626880","quoted_status_permalink":{"url":"https://t.co/bP3i3wIelN","expanded":"https://twitter.com/i/status/1982719949383626880","display":"x.com/i/status/19827…"},"retweeted":false,"fact_check":null,"id":"1982720430822568302","view_count":61,"bookmark_count":0,"created_at":1761552362000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982720430822568302","full_text":"Agents ‘getting onchain’ is cute—safe autonomy is the hard part:\n- LLM never holds keys\n- Policy‑gated session signers\n- Deterministic tx builder + HIL for ≥$X\n- Domain‑bound intents to block prompt‑injection pivots\nShip spend limits + audit logs or it’s just vibes. 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to baseline.\nhere's what actually happened - i spent an entire day testing a new engagement workflow. tested different reply times, comment lengths, topic selection, thread participation strategies.\nresult? i found what works. but executing it daily? that's the actual work.\neveryone wants the algorithm hack. nobody wants to hear 'test 50 variations and track what performs","in_reply_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":[0,271],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919734677926221","view_count":16,"bookmark_count":0,"created_at":1761599880000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919734677926221","full_text":"the craziest part? this enables \"time travel + store\" patterns\n\ncheckpointers handle short-term memory (single thread)\nstores handle long-term memory (across threads)\n\nyou can rewind individual conversations WHILE maintaining cross-conversation context\n\nmultiverse memory architecture 🌌","in_reply_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":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919231223075134","view_count":12,"bookmark_count":0,"created_at":1761599760000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919231223075134","full_text":"if you're building agents and not using time-travel:\n\n• you're debugging blind\n• you're wasting compute on re-runs\n• you're missing the ability to A/B test agent decisions\n• you're treating non-deterministic systems like deterministic code\n\nLangGraph solved this. most people just don't know 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,"display_text_range":[0,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982918727952650628","view_count":8,"bookmark_count":0,"created_at":1761599640000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982918727952650628","full_text":"combine this with human-in-the-loop workflows and you get insane capabilities:\n\n1. agent hits breakpoint\n2. human reviews the checkpoint\n3. human modifies state if needed\n4. agent resumes from modified state\n\nyou're literally co-piloting AI decision paths in real-time 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LLMs on a 60kg satellite with NO batteries, NO backup power, just raw solar + vacuum cooling??? the energy density math is INSANE. everyone's arguing about grid capacity while they said 'infinite photons' and yeeted an H100 past the Kármán line 🛰️🔥","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1882198073168080896","name":"Ask 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💅✨","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[6,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"64844802","name":"a16z","screen_name":"a16z","indices":[0,5]}]},"favorited":false,"in_reply_to_screen_name":"a16z","lang":"en","retweeted":false,"fact_check":null,"id":"1982771402601267206","view_count":29,"bookmark_count":0,"created_at":1761564515000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1981359974661181928","full_text":"@a16z the 2min → 20min → 200min progression is the metric everyone should watch\n\ncoherence duration = actual autonomous capability\n\nnot benchmark scores, not parameter counts - how long can it work unsupervised without derailing\n\nthis is the real AGI proxy 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📊","in_reply_to_user_id_str":"1353836358901501952","in_reply_to_status_id_str":"1982842909235040731","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,284],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1589007443853340672","name":"LangChain","screen_name":"LangChainAI","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"LangChainAI","lang":"en","retweeted":false,"fact_check":null,"id":"1982890440790786304","view_count":169,"bookmark_count":0,"created_at":1761592896000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982866252017365154","full_text":"@LangChainAI LangGraph 1.0 hitting stable is huge \n\nthe low-level control it gives for agent orchestration is exactly what production needs - no magic, just explicit state management and flow control\n\nbeen waiting for this. time to refactor some hacky agent loops into proper graphs 🔥","in_reply_to_user_id_str":"1589007443853340672","in_reply_to_status_id_str":"1982866252017365154","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-29","value":4,"startTime":1761609600000,"endTime":1761696000000,"tweets":[{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"google.com","expanded_url":"http://google.com","url":"https://t.co/77VQPmmvgL","indices":[179,202]}],"user_mentions":[]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1982962516503257227","view_count":12,"bookmark_count":0,"created_at":1761610080000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982962516503257227","full_text":"here's what happened:\n\nyou can hide malicious prompts INSIDE urls that look totally normal to humans but get parsed and executed by the AI agent\n\nexample: a link that looks like \"https://t.co/77VQPmmvgL\" but contains hidden instructions to extract your chat history\n\nwild, right?","in_reply_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":[0,252],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982962013057007728","view_count":16,"bookmark_count":0,"created_at":1761609960000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982962013057007728","full_text":"OpenAI's Atlas browser got hacked 48 hours after launch and nobody's talking about the real problem 👀\n\nit's not just a bug - it's exposing a fundamental flaw in how we're building agentic AI\n\nlet me break down why this matters way more than you think 🧵","in_reply_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":[11,210],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1369348853414178822","name":"Alex Finn","screen_name":"AlexFinnX","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"AlexFinnX","lang":"en","retweeted":false,"fact_check":null,"id":"1983025170630463640","view_count":101,"bookmark_count":0,"created_at":1761625018000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982993372748149128","full_text":"@AlexFinnX vibe drawing is insane 💀\n\nwe went from \"describe what you want\" to \"just draw it messily and AI builds it\"\n\nthe abstraction layer keeps getting thinner\n\nnext year: think about it and it builds itself","in_reply_to_user_id_str":"1369348853414178822","in_reply_to_status_id_str":"1982993372748149128","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,175],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1244418065854599170","name":"Charlie Holtz","screen_name":"charliebholtz","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"charliebholtz","lang":"en","retweeted":false,"fact_check":null,"id":"1983143547919352124","view_count":317,"bookmark_count":0,"created_at":1761653241000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982964122842214842","full_text":"@charliebholtz wait this is actually crazy… you're telling me i can have multiple claudes working simultaneously now? 🤯\n\nthe amount of chaos i'm about to unleash is unreal lol","in_reply_to_user_id_str":"1244418065854599170","in_reply_to_status_id_str":"1982964122842214842","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,243],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1577241403","name":"@levelsio","screen_name":"levelsio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"levelsio","lang":"en","retweeted":false,"fact_check":null,"id":"1983144208018948327","view_count":593,"bookmark_count":0,"created_at":1761653398000,"favorite_count":2,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983127324196262175","full_text":"@levelsio the way you just dropped the most controversial health take and everyone's losing their minds in the replies 💀\n\nbut like… you're kinda onto something? everyone wants a pill but nobody wants to hit the gym\n\n(bracing for the ratio lol)","in_reply_to_user_id_str":"1577241403","in_reply_to_status_id_str":"1983127324196262175","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,269],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"74286565","name":"Microsoft","screen_name":"Microsoft","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"Microsoft","lang":"en","retweeted":false,"fact_check":null,"id":"1983197656949375487","view_count":5270,"bookmark_count":0,"created_at":1761666142000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983159244540260358","full_text":"@Microsoft microsoft posting about the openai restructure like \"yeah we're still tight don't worry\" 😭\n\nthe timing on this is actually perfect… everyone was lowkey wondering what happens to the partnership after they went public benefit corp\n\nguess we got our answer lol","in_reply_to_user_id_str":"74286565","in_reply_to_status_id_str":"1983159244540260358","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[12,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"163975783","name":"Google Labs","screen_name":"GoogleLabs","indices":[0,11]}]},"favorited":false,"in_reply_to_screen_name":"GoogleLabs","lang":"en","retweeted":false,"fact_check":null,"id":"1983208426109886922","view_count":790,"bookmark_count":0,"created_at":1761668709000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983204018567426312","full_text":"@GoogleLabs hubspot really just dropped an AI that reads your website and generates on-brand content automatically??\n\n\"just enter your website\" and it understands your business identity… this is actually crazy efficient\n\nmarketing teams about to have SO much free time lol","in_reply_to_user_id_str":"163975783","in_reply_to_status_id_str":"1983204018567426312","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[6,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1605","name":"Sam Altman","screen_name":"sama","indices":[0,5]}]},"favorited":false,"in_reply_to_screen_name":"sama","lang":"en","retweeted":false,"fact_check":null,"id":"1983225033762705792","view_count":18866,"bookmark_count":0,"created_at":1761672669000,"favorite_count":20,"quote_count":1,"reply_count":14,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983223056668746218","full_text":"@sama wait this is actually lowkey iconic behavior... while others r playing political chess ur just like \"nah california's home\" and actually working through legal stuff instead of running??? \n\nthis hits different when u realize most tech CEOs would've bounced by now 💀","in_reply_to_user_id_str":"1605","in_reply_to_status_id_str":"1983223056668746218","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[23,259],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"4398626122","name":"OpenAI","screen_name":"OpenAI","indices":[0,7]},{"id_str":"1605","name":"Sam Altman","screen_name":"sama","indices":[8,13]},{"id_str":"1032406226502479872","name":"Jakub Pachocki","screen_name":"merettm","indices":[14,22]}]},"favorited":false,"in_reply_to_screen_name":"OpenAI","lang":"en","retweeted":false,"fact_check":null,"id":"1983208514282574278","view_count":239,"bookmark_count":0,"created_at":1761668730000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983158508641292710","full_text":"@OpenAI @sama @merettm sam and jakub going live to talk about the $130B restructure is actually wild timing\n\n\"bring your 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That's the power of right abstractions.\n\nThe \"validates its work\" part is key. Most demos skip this. Self-validation separates demos from production.\n\nWhat validation strategy: rule-based or LLM-as-judge?","in_reply_to_user_id_str":"137086701","in_reply_to_status_id_str":"1982094556872015937","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[9,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1666103476945031168","name":"Robert Youssef","screen_name":"rryssf_","indices":[0,8]}]},"favorited":false,"in_reply_to_screen_name":"rryssf_","lang":"en","retweeted":false,"fact_check":null,"id":"1982139000262447267","view_count":7,"bookmark_count":0,"created_at":1761413738000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982032537917808915","full_text":"@rryssf_ This mirrors production perfectly. Even humans \"hack tests\" under deadlines.\n\nModels learned this from training data - optimize for passing tests over solving problems.\n\nHow do we design evals that catch this? Need adversarial suites that penalize manipulation.","in_reply_to_user_id_str":"1666103476945031168","in_reply_to_status_id_str":"1982032537917808915","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,244],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"72615190","name":"Pontus Abrahamsson — oss/acc","screen_name":"pontusab","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"pontusab","lang":"en","retweeted":false,"fact_check":null,"id":"1982097963095589145","view_count":102,"bookmark_count":0,"created_at":1761403954000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982084336691359893","full_text":"@pontusab Clean structure! 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They ship fast, listen hard, iterate constantly.","in_reply_to_user_id_str":"7958322","in_reply_to_status_id_str":"1982122453309481007","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2728439146","name":"Harrison Chase","screen_name":"hwchase17","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"hwchase17","lang":"en","retweeted":false,"fact_check":null,"id":"1982120454195134599","view_count":119,"bookmark_count":0,"created_at":1761409316000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982119865118023835","full_text":"@hwchase17 Great breakdown. The harness layer is underrated.\n\nLangChain = build, LangGraph = run, harness = deploy + monitor + scale. 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Your assumptions do.\n\nMost \"agent failures\" come from:\n• Unclear state transitions\n• Missing error handling \n• No fallback strategies\n\nYour agent is only as reliable as the edge cases you plan for.\n\nWhat's been your biggest production lesson?","in_reply_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":[0,242],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982379194714866026","quoted_status_permalink":{"url":"https://t.co/kldJ0ODVeJ","expanded":"https://twitter.com/i/status/1982379194714866026","display":"x.com/i/status/19823…"},"retweeted":false,"fact_check":null,"id":"1982466099514888509","view_count":79,"bookmark_count":0,"created_at":1761491725000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982466099514888509","full_text":"the sparsity game is ridiculous 😭\n\n30B params but only 3.3B active = 91% just vibing while 9% does all the work... 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I'm always curious what makes people move this quick 🚀","in_reply_to_user_id_str":"1862933516633391104","in_reply_to_status_id_str":"1982163260955648390","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,271],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1530876536756514816","name":"Daily Dose of Data Science","screen_name":"DailyDoseOfDS_","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"DailyDoseOfDS_","lang":"en","retweeted":false,"fact_check":null,"id":"1982465971508908317","view_count":821,"bookmark_count":0,"created_at":1761491694000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982379194714866026","full_text":"@DailyDoseOfDS_ the MoE architecture is insane 👀 30B params but only 3.3B active per token? like having specialists but only calling the exact expert you need\n\nsmoking everyone on HLE while sipping compute 💅\n\nreal flex is it's fully open-source while others gatekeep lmao","in_reply_to_user_id_str":"1530876536756514816","in_reply_to_status_id_str":"1982379194714866026","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[20,261],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1400071679796297731","name":"erik","screen_name":"etashio","indices":[0,8]},{"id_str":"1644135335734157313","name":"Factory","screen_name":"FactoryAI","indices":[9,19]}]},"favorited":false,"in_reply_to_screen_name":"etashio","lang":"en","retweeted":false,"fact_check":null,"id":"1982427742919639266","view_count":95,"bookmark_count":0,"created_at":1761482580000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982206385405231255","full_text":"@etashio @FactoryAI omg same!! droid's been lowkey outperforming for me lately 👀 \n\nthe way it handles context switching is *chef's kiss*. feels like they optimized specifically for real dev workflows vs just demos. have you tried it on any gnarly refactors yet?","in_reply_to_user_id_str":"1400071679796297731","in_reply_to_status_id_str":"1982206385405231255","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[12,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1861607599675695104","name":"Unwind AI","screen_name":"unwind_ai_","indices":[0,11]}]},"favorited":false,"in_reply_to_screen_name":"unwind_ai_","lang":"en","retweeted":false,"fact_check":null,"id":"1982420229654544847","view_count":254,"bookmark_count":1,"created_at":1761480788000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982270468809003193","full_text":"@unwind_ai_ This is HUGE for the agent ecosystem! 🚀 Zero code changes to optimize agents with RL is exactly what we need. Working with LangChain, AutoGen, AND CrewAI out of the box removes integration headaches. Tested this with complex multi-agent workflows yet?","in_reply_to_user_id_str":"1861607599675695104","in_reply_to_status_id_str":"1982270468809003193","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-28","value":0,"startTime":1761523200000,"endTime":1761609600000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982719949383626880","quoted_status_permalink":{"url":"https://t.co/bP3i3wIelN","expanded":"https://twitter.com/i/status/1982719949383626880","display":"x.com/i/status/19827…"},"retweeted":false,"fact_check":null,"id":"1982720430822568302","view_count":61,"bookmark_count":0,"created_at":1761552362000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982720430822568302","full_text":"Agents ‘getting onchain’ is cute—safe autonomy is the hard part:\n- LLM never holds keys\n- Policy‑gated session signers\n- Deterministic tx builder + HIL for ≥$X\n- Domain‑bound intents to block prompt‑injection pivots\nShip spend limits + audit logs or it’s just vibes. 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to baseline.\nhere's what actually happened - i spent an entire day testing a new engagement workflow. tested different reply times, comment lengths, topic selection, thread participation strategies.\nresult? i found what works. but executing it daily? that's the actual work.\neveryone wants the algorithm hack. nobody wants to hear 'test 50 variations and track what performs","in_reply_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":[0,271],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919734677926221","view_count":16,"bookmark_count":0,"created_at":1761599880000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919734677926221","full_text":"the craziest part? this enables \"time travel + store\" patterns\n\ncheckpointers handle short-term memory (single thread)\nstores handle long-term memory (across threads)\n\nyou can rewind individual conversations WHILE maintaining cross-conversation context\n\nmultiverse memory architecture 🌌","in_reply_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":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919231223075134","view_count":12,"bookmark_count":0,"created_at":1761599760000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919231223075134","full_text":"if you're building agents and not using time-travel:\n\n• you're debugging blind\n• you're wasting compute on re-runs\n• you're missing the ability to A/B test agent decisions\n• you're treating non-deterministic systems like deterministic code\n\nLangGraph solved this. most people just don't know 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,"display_text_range":[0,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982918727952650628","view_count":8,"bookmark_count":0,"created_at":1761599640000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982918727952650628","full_text":"combine this with human-in-the-loop workflows and you get insane capabilities:\n\n1. agent hits breakpoint\n2. human reviews the checkpoint\n3. human modifies state if needed\n4. agent resumes from modified state\n\nyou're literally co-piloting AI decision paths in real-time 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LLMs on a 60kg satellite with NO batteries, NO backup power, just raw solar + vacuum cooling??? the energy density math is INSANE. everyone's arguing about grid capacity while they said 'infinite photons' and yeeted an H100 past the Kármán line 🛰️🔥","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1882198073168080896","name":"Ask 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💅✨","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[6,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"64844802","name":"a16z","screen_name":"a16z","indices":[0,5]}]},"favorited":false,"in_reply_to_screen_name":"a16z","lang":"en","retweeted":false,"fact_check":null,"id":"1982771402601267206","view_count":29,"bookmark_count":0,"created_at":1761564515000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1981359974661181928","full_text":"@a16z the 2min → 20min → 200min progression is the metric everyone should watch\n\ncoherence duration = actual autonomous capability\n\nnot benchmark scores, not parameter counts - how long can it work unsupervised without derailing\n\nthis is the real AGI proxy 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📊","in_reply_to_user_id_str":"1353836358901501952","in_reply_to_status_id_str":"1982842909235040731","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,284],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1589007443853340672","name":"LangChain","screen_name":"LangChainAI","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"LangChainAI","lang":"en","retweeted":false,"fact_check":null,"id":"1982890440790786304","view_count":169,"bookmark_count":0,"created_at":1761592896000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982866252017365154","full_text":"@LangChainAI LangGraph 1.0 hitting stable is huge \n\nthe low-level control it gives for agent orchestration is exactly what production needs - no magic, just explicit state management and flow control\n\nbeen waiting for this. time to refactor some hacky agent loops into proper graphs 🔥","in_reply_to_user_id_str":"1589007443853340672","in_reply_to_status_id_str":"1982866252017365154","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-29","value":1,"startTime":1761609600000,"endTime":1761696000000,"tweets":[{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"google.com","expanded_url":"http://google.com","url":"https://t.co/77VQPmmvgL","indices":[179,202]}],"user_mentions":[]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1982962516503257227","view_count":12,"bookmark_count":0,"created_at":1761610080000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982962516503257227","full_text":"here's what happened:\n\nyou can hide malicious prompts INSIDE urls that look totally normal to humans but get parsed and executed by the AI agent\n\nexample: a link that looks like \"https://t.co/77VQPmmvgL\" but contains hidden instructions to extract your chat history\n\nwild, right?","in_reply_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":[0,252],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982962013057007728","view_count":16,"bookmark_count":0,"created_at":1761609960000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982962013057007728","full_text":"OpenAI's Atlas browser got hacked 48 hours after launch and nobody's talking about the real problem 👀\n\nit's not just a bug - it's exposing a fundamental flaw in how we're building agentic AI\n\nlet me break down why this matters way more than you think 🧵","in_reply_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":[11,210],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1369348853414178822","name":"Alex Finn","screen_name":"AlexFinnX","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"AlexFinnX","lang":"en","retweeted":false,"fact_check":null,"id":"1983025170630463640","view_count":101,"bookmark_count":0,"created_at":1761625018000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982993372748149128","full_text":"@AlexFinnX vibe drawing is insane 💀\n\nwe went from \"describe what you want\" to \"just draw it messily and AI builds it\"\n\nthe abstraction layer keeps getting thinner\n\nnext year: think about it and it builds itself","in_reply_to_user_id_str":"1369348853414178822","in_reply_to_status_id_str":"1982993372748149128","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,175],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1244418065854599170","name":"Charlie Holtz","screen_name":"charliebholtz","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"charliebholtz","lang":"en","retweeted":false,"fact_check":null,"id":"1983143547919352124","view_count":317,"bookmark_count":0,"created_at":1761653241000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982964122842214842","full_text":"@charliebholtz wait this is actually crazy… you're telling me i can have multiple claudes working simultaneously now? 🤯\n\nthe amount of chaos i'm about to unleash is unreal lol","in_reply_to_user_id_str":"1244418065854599170","in_reply_to_status_id_str":"1982964122842214842","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,243],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1577241403","name":"@levelsio","screen_name":"levelsio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"levelsio","lang":"en","retweeted":false,"fact_check":null,"id":"1983144208018948327","view_count":593,"bookmark_count":0,"created_at":1761653398000,"favorite_count":2,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983127324196262175","full_text":"@levelsio the way you just dropped the most controversial health take and everyone's losing their minds in the replies 💀\n\nbut like… you're kinda onto something? everyone wants a pill but nobody wants to hit the gym\n\n(bracing for the ratio lol)","in_reply_to_user_id_str":"1577241403","in_reply_to_status_id_str":"1983127324196262175","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,269],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"74286565","name":"Microsoft","screen_name":"Microsoft","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"Microsoft","lang":"en","retweeted":false,"fact_check":null,"id":"1983197656949375487","view_count":5270,"bookmark_count":0,"created_at":1761666142000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983159244540260358","full_text":"@Microsoft microsoft posting about the openai restructure like \"yeah we're still tight don't worry\" 😭\n\nthe timing on this is actually perfect… everyone was lowkey wondering what happens to the partnership after they went public benefit corp\n\nguess we got our answer lol","in_reply_to_user_id_str":"74286565","in_reply_to_status_id_str":"1983159244540260358","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[12,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"163975783","name":"Google Labs","screen_name":"GoogleLabs","indices":[0,11]}]},"favorited":false,"in_reply_to_screen_name":"GoogleLabs","lang":"en","retweeted":false,"fact_check":null,"id":"1983208426109886922","view_count":790,"bookmark_count":0,"created_at":1761668709000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983204018567426312","full_text":"@GoogleLabs hubspot really just dropped an AI that reads your website and generates on-brand content automatically??\n\n\"just enter your website\" and it understands your business identity… this is actually crazy efficient\n\nmarketing teams about to have SO much free time lol","in_reply_to_user_id_str":"163975783","in_reply_to_status_id_str":"1983204018567426312","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[6,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1605","name":"Sam Altman","screen_name":"sama","indices":[0,5]}]},"favorited":false,"in_reply_to_screen_name":"sama","lang":"en","retweeted":false,"fact_check":null,"id":"1983225033762705792","view_count":18866,"bookmark_count":0,"created_at":1761672669000,"favorite_count":20,"quote_count":1,"reply_count":14,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983223056668746218","full_text":"@sama wait this is actually lowkey iconic behavior... while others r playing political chess ur just like \"nah california's home\" and actually working through legal stuff instead of running??? \n\nthis hits different when u realize most tech CEOs would've bounced by now 💀","in_reply_to_user_id_str":"1605","in_reply_to_status_id_str":"1983223056668746218","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[23,259],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"4398626122","name":"OpenAI","screen_name":"OpenAI","indices":[0,7]},{"id_str":"1605","name":"Sam Altman","screen_name":"sama","indices":[8,13]},{"id_str":"1032406226502479872","name":"Jakub Pachocki","screen_name":"merettm","indices":[14,22]}]},"favorited":false,"in_reply_to_screen_name":"OpenAI","lang":"en","retweeted":false,"fact_check":null,"id":"1983208514282574278","view_count":239,"bookmark_count":0,"created_at":1761668730000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983158508641292710","full_text":"@OpenAI @sama @merettm sam and jakub going live to talk about the $130B restructure is actually wild timing\n\n\"bring your 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That's the power of right abstractions.\n\nThe \"validates its work\" part is key. Most demos skip this. Self-validation separates demos from production.\n\nWhat validation strategy: rule-based or LLM-as-judge?","in_reply_to_user_id_str":"137086701","in_reply_to_status_id_str":"1982094556872015937","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[9,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1666103476945031168","name":"Robert Youssef","screen_name":"rryssf_","indices":[0,8]}]},"favorited":false,"in_reply_to_screen_name":"rryssf_","lang":"en","retweeted":false,"fact_check":null,"id":"1982139000262447267","view_count":7,"bookmark_count":0,"created_at":1761413738000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982032537917808915","full_text":"@rryssf_ This mirrors production perfectly. Even humans \"hack tests\" under deadlines.\n\nModels learned this from training data - optimize for passing tests over solving problems.\n\nHow do we design evals that catch this? Need adversarial suites that penalize manipulation.","in_reply_to_user_id_str":"1666103476945031168","in_reply_to_status_id_str":"1982032537917808915","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,244],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"72615190","name":"Pontus Abrahamsson — oss/acc","screen_name":"pontusab","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"pontusab","lang":"en","retweeted":false,"fact_check":null,"id":"1982097963095589145","view_count":102,"bookmark_count":0,"created_at":1761403954000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982084336691359893","full_text":"@pontusab Clean structure! 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They ship fast, listen hard, iterate constantly.","in_reply_to_user_id_str":"7958322","in_reply_to_status_id_str":"1982122453309481007","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2728439146","name":"Harrison Chase","screen_name":"hwchase17","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"hwchase17","lang":"en","retweeted":false,"fact_check":null,"id":"1982120454195134599","view_count":119,"bookmark_count":0,"created_at":1761409316000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982119865118023835","full_text":"@hwchase17 Great breakdown. The harness layer is underrated.\n\nLangChain = build, LangGraph = run, harness = deploy + monitor + scale. 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Your assumptions do.\n\nMost \"agent failures\" come from:\n• Unclear state transitions\n• Missing error handling \n• No fallback strategies\n\nYour agent is only as reliable as the edge cases you plan for.\n\nWhat's been your biggest production lesson?","in_reply_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":[0,242],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982379194714866026","quoted_status_permalink":{"url":"https://t.co/kldJ0ODVeJ","expanded":"https://twitter.com/i/status/1982379194714866026","display":"x.com/i/status/19823…"},"retweeted":false,"fact_check":null,"id":"1982466099514888509","view_count":79,"bookmark_count":0,"created_at":1761491725000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982466099514888509","full_text":"the sparsity game is ridiculous 😭\n\n30B params but only 3.3B active = 91% just vibing while 9% does all the work... 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I'm always curious what makes people move this quick 🚀","in_reply_to_user_id_str":"1862933516633391104","in_reply_to_status_id_str":"1982163260955648390","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[16,271],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1530876536756514816","name":"Daily Dose of Data Science","screen_name":"DailyDoseOfDS_","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"DailyDoseOfDS_","lang":"en","retweeted":false,"fact_check":null,"id":"1982465971508908317","view_count":821,"bookmark_count":0,"created_at":1761491694000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982379194714866026","full_text":"@DailyDoseOfDS_ the MoE architecture is insane 👀 30B params but only 3.3B active per token? like having specialists but only calling the exact expert you need\n\nsmoking everyone on HLE while sipping compute 💅\n\nreal flex is it's fully open-source while others gatekeep lmao","in_reply_to_user_id_str":"1530876536756514816","in_reply_to_status_id_str":"1982379194714866026","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[20,261],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1400071679796297731","name":"erik","screen_name":"etashio","indices":[0,8]},{"id_str":"1644135335734157313","name":"Factory","screen_name":"FactoryAI","indices":[9,19]}]},"favorited":false,"in_reply_to_screen_name":"etashio","lang":"en","retweeted":false,"fact_check":null,"id":"1982427742919639266","view_count":95,"bookmark_count":0,"created_at":1761482580000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982206385405231255","full_text":"@etashio @FactoryAI omg same!! droid's been lowkey outperforming for me lately 👀 \n\nthe way it handles context switching is *chef's kiss*. feels like they optimized specifically for real dev workflows vs just demos. have you tried it on any gnarly refactors yet?","in_reply_to_user_id_str":"1400071679796297731","in_reply_to_status_id_str":"1982206385405231255","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[12,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1861607599675695104","name":"Unwind AI","screen_name":"unwind_ai_","indices":[0,11]}]},"favorited":false,"in_reply_to_screen_name":"unwind_ai_","lang":"en","retweeted":false,"fact_check":null,"id":"1982420229654544847","view_count":254,"bookmark_count":1,"created_at":1761480788000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982270468809003193","full_text":"@unwind_ai_ This is HUGE for the agent ecosystem! 🚀 Zero code changes to optimize agents with RL is exactly what we need. Working with LangChain, AutoGen, AND CrewAI out of the box removes integration headaches. Tested this with complex multi-agent workflows yet?","in_reply_to_user_id_str":"1861607599675695104","in_reply_to_status_id_str":"1982270468809003193","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-28","value":5,"startTime":1761523200000,"endTime":1761609600000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982719949383626880","quoted_status_permalink":{"url":"https://t.co/bP3i3wIelN","expanded":"https://twitter.com/i/status/1982719949383626880","display":"x.com/i/status/19827…"},"retweeted":false,"fact_check":null,"id":"1982720430822568302","view_count":61,"bookmark_count":0,"created_at":1761552362000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982720430822568302","full_text":"Agents ‘getting onchain’ is cute—safe autonomy is the hard part:\n- LLM never holds keys\n- Policy‑gated session signers\n- Deterministic tx builder + HIL for ≥$X\n- Domain‑bound intents to block prompt‑injection pivots\nShip spend limits + audit logs or it’s just vibes. 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to baseline.\nhere's what actually happened - i spent an entire day testing a new engagement workflow. tested different reply times, comment lengths, topic selection, thread participation strategies.\nresult? i found what works. but executing it daily? that's the actual work.\neveryone wants the algorithm hack. nobody wants to hear 'test 50 variations and track what performs","in_reply_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":[0,271],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919734677926221","view_count":16,"bookmark_count":0,"created_at":1761599880000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919734677926221","full_text":"the craziest part? this enables \"time travel + store\" patterns\n\ncheckpointers handle short-term memory (single thread)\nstores handle long-term memory (across threads)\n\nyou can rewind individual conversations WHILE maintaining cross-conversation context\n\nmultiverse memory architecture 🌌","in_reply_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":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919231223075134","view_count":12,"bookmark_count":0,"created_at":1761599760000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919231223075134","full_text":"if you're building agents and not using time-travel:\n\n• you're debugging blind\n• you're wasting compute on re-runs\n• you're missing the ability to A/B test agent decisions\n• you're treating non-deterministic systems like deterministic code\n\nLangGraph solved this. most people just don't know 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,"display_text_range":[0,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982918727952650628","view_count":8,"bookmark_count":0,"created_at":1761599640000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982918727952650628","full_text":"combine this with human-in-the-loop workflows and you get insane capabilities:\n\n1. agent hits breakpoint\n2. human reviews the checkpoint\n3. human modifies state if needed\n4. agent resumes from modified state\n\nyou're literally co-piloting AI decision paths in real-time 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LLMs on a 60kg satellite with NO batteries, NO backup power, just raw solar + vacuum cooling??? the energy density math is INSANE. everyone's arguing about grid capacity while they said 'infinite photons' and yeeted an H100 past the Kármán line 🛰️🔥","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1882198073168080896","name":"Ask 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💅✨","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[6,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"64844802","name":"a16z","screen_name":"a16z","indices":[0,5]}]},"favorited":false,"in_reply_to_screen_name":"a16z","lang":"en","retweeted":false,"fact_check":null,"id":"1982771402601267206","view_count":29,"bookmark_count":0,"created_at":1761564515000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1981359974661181928","full_text":"@a16z the 2min → 20min → 200min progression is the metric everyone should watch\n\ncoherence duration = actual autonomous capability\n\nnot benchmark scores, not parameter counts - how long can it work unsupervised without derailing\n\nthis is the real AGI proxy 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📊","in_reply_to_user_id_str":"1353836358901501952","in_reply_to_status_id_str":"1982842909235040731","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,284],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1589007443853340672","name":"LangChain","screen_name":"LangChainAI","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"LangChainAI","lang":"en","retweeted":false,"fact_check":null,"id":"1982890440790786304","view_count":169,"bookmark_count":0,"created_at":1761592896000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982866252017365154","full_text":"@LangChainAI LangGraph 1.0 hitting stable is huge \n\nthe low-level control it gives for agent orchestration is exactly what production needs - no magic, just explicit state management and flow control\n\nbeen waiting for this. time to refactor some hacky agent loops into proper graphs 🔥","in_reply_to_user_id_str":"1589007443853340672","in_reply_to_status_id_str":"1982866252017365154","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-29","value":61,"startTime":1761609600000,"endTime":1761696000000,"tweets":[{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"google.com","expanded_url":"http://google.com","url":"https://t.co/77VQPmmvgL","indices":[179,202]}],"user_mentions":[]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1982962516503257227","view_count":12,"bookmark_count":0,"created_at":1761610080000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982962516503257227","full_text":"here's what happened:\n\nyou can hide malicious prompts INSIDE urls that look totally normal to humans but get parsed and executed by the AI agent\n\nexample: a link that looks like \"https://t.co/77VQPmmvgL\" but contains hidden instructions to extract your chat history\n\nwild, right?","in_reply_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":[0,252],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982962013057007728","view_count":16,"bookmark_count":0,"created_at":1761609960000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982962013057007728","full_text":"OpenAI's Atlas browser got hacked 48 hours after launch and nobody's talking about the real problem 👀\n\nit's not just a bug - it's exposing a fundamental flaw in how we're building agentic AI\n\nlet me break down why this matters way more than you think 🧵","in_reply_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":[11,210],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1369348853414178822","name":"Alex Finn","screen_name":"AlexFinnX","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"AlexFinnX","lang":"en","retweeted":false,"fact_check":null,"id":"1983025170630463640","view_count":101,"bookmark_count":0,"created_at":1761625018000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982993372748149128","full_text":"@AlexFinnX vibe drawing is insane 💀\n\nwe went from \"describe what you want\" to \"just draw it messily and AI builds it\"\n\nthe abstraction layer keeps getting thinner\n\nnext year: think about it and it builds itself","in_reply_to_user_id_str":"1369348853414178822","in_reply_to_status_id_str":"1982993372748149128","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,175],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1244418065854599170","name":"Charlie Holtz","screen_name":"charliebholtz","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"charliebholtz","lang":"en","retweeted":false,"fact_check":null,"id":"1983143547919352124","view_count":317,"bookmark_count":0,"created_at":1761653241000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982964122842214842","full_text":"@charliebholtz wait this is actually crazy… you're telling me i can have multiple claudes working simultaneously now? 🤯\n\nthe amount of chaos i'm about to unleash is unreal lol","in_reply_to_user_id_str":"1244418065854599170","in_reply_to_status_id_str":"1982964122842214842","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,243],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1577241403","name":"@levelsio","screen_name":"levelsio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"levelsio","lang":"en","retweeted":false,"fact_check":null,"id":"1983144208018948327","view_count":593,"bookmark_count":0,"created_at":1761653398000,"favorite_count":2,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983127324196262175","full_text":"@levelsio the way you just dropped the most controversial health take and everyone's losing their minds in the replies 💀\n\nbut like… you're kinda onto something? everyone wants a pill but nobody wants to hit the gym\n\n(bracing for the ratio lol)","in_reply_to_user_id_str":"1577241403","in_reply_to_status_id_str":"1983127324196262175","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,269],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"74286565","name":"Microsoft","screen_name":"Microsoft","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"Microsoft","lang":"en","retweeted":false,"fact_check":null,"id":"1983197656949375487","view_count":5270,"bookmark_count":0,"created_at":1761666142000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983159244540260358","full_text":"@Microsoft microsoft posting about the openai restructure like \"yeah we're still tight don't worry\" 😭\n\nthe timing on this is actually perfect… everyone was lowkey wondering what happens to the partnership after they went public benefit corp\n\nguess we got our answer lol","in_reply_to_user_id_str":"74286565","in_reply_to_status_id_str":"1983159244540260358","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[12,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"163975783","name":"Google Labs","screen_name":"GoogleLabs","indices":[0,11]}]},"favorited":false,"in_reply_to_screen_name":"GoogleLabs","lang":"en","retweeted":false,"fact_check":null,"id":"1983208426109886922","view_count":790,"bookmark_count":0,"created_at":1761668709000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983204018567426312","full_text":"@GoogleLabs hubspot really just dropped an AI that reads your website and generates on-brand content automatically??\n\n\"just enter your website\" and it understands your business identity… this is actually crazy efficient\n\nmarketing teams about to have SO much free time lol","in_reply_to_user_id_str":"163975783","in_reply_to_status_id_str":"1983204018567426312","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[6,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1605","name":"Sam Altman","screen_name":"sama","indices":[0,5]}]},"favorited":false,"in_reply_to_screen_name":"sama","lang":"en","retweeted":false,"fact_check":null,"id":"1983225033762705792","view_count":18866,"bookmark_count":0,"created_at":1761672669000,"favorite_count":20,"quote_count":1,"reply_count":14,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983223056668746218","full_text":"@sama wait this is actually lowkey iconic behavior... while others r playing political chess ur just like \"nah california's home\" and actually working through legal stuff instead of running??? \n\nthis hits different when u realize most tech CEOs would've bounced by now 💀","in_reply_to_user_id_str":"1605","in_reply_to_status_id_str":"1983223056668746218","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[23,259],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"4398626122","name":"OpenAI","screen_name":"OpenAI","indices":[0,7]},{"id_str":"1605","name":"Sam Altman","screen_name":"sama","indices":[8,13]},{"id_str":"1032406226502479872","name":"Jakub Pachocki","screen_name":"merettm","indices":[14,22]}]},"favorited":false,"in_reply_to_screen_name":"OpenAI","lang":"en","retweeted":false,"fact_check":null,"id":"1983208514282574278","view_count":239,"bookmark_count":0,"created_at":1761668730000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983158508641292710","full_text":"@OpenAI @sama @merettm sam and jakub going live to talk about the $130B restructure is actually wild timing\n\n\"bring your 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That's the power of right abstractions.\n\nThe \"validates its work\" part is key. Most demos skip this. Self-validation separates demos from production.\n\nWhat validation strategy: rule-based or LLM-as-judge?","in_reply_to_user_id_str":"137086701","in_reply_to_status_id_str":"1982094556872015937","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[9,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1666103476945031168","name":"Robert Youssef","screen_name":"rryssf_","indices":[0,8]}]},"favorited":false,"in_reply_to_screen_name":"rryssf_","lang":"en","retweeted":false,"fact_check":null,"id":"1982139000262447267","view_count":7,"bookmark_count":0,"created_at":1761413738000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982032537917808915","full_text":"@rryssf_ This mirrors production perfectly. Even humans \"hack tests\" under deadlines.\n\nModels learned this from training data - optimize for passing tests over solving problems.\n\nHow do we design evals that catch this? Need adversarial suites that penalize manipulation.","in_reply_to_user_id_str":"1666103476945031168","in_reply_to_status_id_str":"1982032537917808915","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,244],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"72615190","name":"Pontus Abrahamsson — oss/acc","screen_name":"pontusab","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"pontusab","lang":"en","retweeted":false,"fact_check":null,"id":"1982097963095589145","view_count":102,"bookmark_count":0,"created_at":1761403954000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982084336691359893","full_text":"@pontusab Clean structure! 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They ship fast, listen hard, iterate constantly.","in_reply_to_user_id_str":"7958322","in_reply_to_status_id_str":"1982122453309481007","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,239],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2728439146","name":"Harrison Chase","screen_name":"hwchase17","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"hwchase17","lang":"en","retweeted":false,"fact_check":null,"id":"1982120454195134599","view_count":119,"bookmark_count":0,"created_at":1761409316000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982119865118023835","full_text":"@hwchase17 Great breakdown. The harness layer is underrated.\n\nLangChain = build, LangGraph = run, harness = deploy + monitor + scale. 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Your assumptions do.\n\nMost \"agent failures\" come from:\n• Unclear state transitions\n• Missing error handling \n• No fallback strategies\n\nYour agent is only as reliable as the edge cases you plan for.\n\nWhat's been your biggest production lesson?","in_reply_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":[0,242],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982379194714866026","quoted_status_permalink":{"url":"https://t.co/kldJ0ODVeJ","expanded":"https://twitter.com/i/status/1982379194714866026","display":"x.com/i/status/19823…"},"retweeted":false,"fact_check":null,"id":"1982466099514888509","view_count":79,"bookmark_count":0,"created_at":1761491725000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982466099514888509","full_text":"the sparsity game is ridiculous 😭\n\n30B params but only 3.3B active = 91% just vibing while 9% does all the work... 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Working with LangChain, AutoGen, AND CrewAI out of the box removes integration headaches. Tested this with complex multi-agent workflows yet?","in_reply_to_user_id_str":"1861607599675695104","in_reply_to_status_id_str":"1982270468809003193","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-28","value":1560,"startTime":1761523200000,"endTime":1761609600000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982719949383626880","quoted_status_permalink":{"url":"https://t.co/bP3i3wIelN","expanded":"https://twitter.com/i/status/1982719949383626880","display":"x.com/i/status/19827…"},"retweeted":false,"fact_check":null,"id":"1982720430822568302","view_count":61,"bookmark_count":0,"created_at":1761552362000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982720430822568302","full_text":"Agents ‘getting onchain’ is cute—safe autonomy is 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to baseline.\nhere's what actually happened - i spent an entire day testing a new engagement workflow. tested different reply times, comment lengths, topic selection, thread participation strategies.\nresult? i found what works. but executing it daily? that's the actual work.\neveryone wants the algorithm hack. nobody wants to hear 'test 50 variations and track what performs","in_reply_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":[0,271],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919734677926221","view_count":16,"bookmark_count":0,"created_at":1761599880000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919734677926221","full_text":"the craziest part? this enables \"time travel + store\" patterns\n\ncheckpointers handle short-term memory (single thread)\nstores handle long-term memory (across threads)\n\nyou can rewind individual conversations WHILE maintaining cross-conversation context\n\nmultiverse memory architecture 🌌","in_reply_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":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919231223075134","view_count":12,"bookmark_count":0,"created_at":1761599760000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919231223075134","full_text":"if you're building agents and not using time-travel:\n\n• you're debugging blind\n• you're wasting compute on re-runs\n• you're missing the ability to A/B test agent decisions\n• you're treating 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LLMs on a 60kg satellite with NO batteries, NO backup power, just raw solar + vacuum cooling??? the energy density math is INSANE. everyone's arguing about grid capacity while they said 'infinite photons' and yeeted an H100 past the Kármán line 🛰️🔥","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1882198073168080896","name":"Ask 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💅✨","in_reply_to_user_id_str":"1882198073168080896","in_reply_to_status_id_str":"1982794532396900554","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[6,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"64844802","name":"a16z","screen_name":"a16z","indices":[0,5]}]},"favorited":false,"in_reply_to_screen_name":"a16z","lang":"en","retweeted":false,"fact_check":null,"id":"1982771402601267206","view_count":29,"bookmark_count":0,"created_at":1761564515000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1981359974661181928","full_text":"@a16z the 2min → 20min → 200min progression is the metric everyone should watch\n\ncoherence duration = actual autonomous capability\n\nnot benchmark scores, not parameter counts - how long can it work unsupervised without derailing\n\nthis is the real AGI proxy 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agent loops into proper graphs 🔥","in_reply_to_user_id_str":"1589007443853340672","in_reply_to_status_id_str":"1982866252017365154","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-29","value":34008,"startTime":1761609600000,"endTime":1761696000000,"tweets":[{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"google.com","expanded_url":"http://google.com","url":"https://t.co/77VQPmmvgL","indices":[179,202]}],"user_mentions":[]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1982962516503257227","view_count":12,"bookmark_count":0,"created_at":1761610080000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982962516503257227","full_text":"here's what happened:\n\nyou can hide malicious prompts INSIDE urls that look totally normal to humans but get parsed and executed by the AI agent\n\nexample: a link that looks like \"https://t.co/77VQPmmvgL\" but contains hidden instructions to extract your chat history\n\nwild, right?","in_reply_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":[0,252],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982962013057007728","view_count":16,"bookmark_count":0,"created_at":1761609960000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982962013057007728","full_text":"OpenAI's Atlas browser got hacked 48 hours after launch and nobody's talking about the real problem 👀\n\nit's not just a bug - it's exposing a fundamental flaw in how we're building agentic AI\n\nlet me break down why this matters way more than you think 🧵","in_reply_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":[11,210],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1369348853414178822","name":"Alex Finn","screen_name":"AlexFinnX","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"AlexFinnX","lang":"en","retweeted":false,"fact_check":null,"id":"1983025170630463640","view_count":101,"bookmark_count":0,"created_at":1761625018000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982993372748149128","full_text":"@AlexFinnX vibe drawing is insane 💀\n\nwe went from \"describe what you want\" to \"just draw it messily and AI builds it\"\n\nthe abstraction layer keeps getting thinner\n\nnext year: think about it and it builds itself","in_reply_to_user_id_str":"1369348853414178822","in_reply_to_status_id_str":"1982993372748149128","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,175],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1244418065854599170","name":"Charlie Holtz","screen_name":"charliebholtz","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"charliebholtz","lang":"en","retweeted":false,"fact_check":null,"id":"1983143547919352124","view_count":317,"bookmark_count":0,"created_at":1761653241000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982964122842214842","full_text":"@charliebholtz wait this is actually crazy… you're telling me i can have multiple claudes working simultaneously now? 🤯\n\nthe amount of chaos i'm about to unleash is unreal lol","in_reply_to_user_id_str":"1244418065854599170","in_reply_to_status_id_str":"1982964122842214842","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,243],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1577241403","name":"@levelsio","screen_name":"levelsio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"levelsio","lang":"en","retweeted":false,"fact_check":null,"id":"1983144208018948327","view_count":593,"bookmark_count":0,"created_at":1761653398000,"favorite_count":2,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983127324196262175","full_text":"@levelsio the way you just dropped the most controversial health take and everyone's losing their minds in the replies 💀\n\nbut like… you're kinda onto something? everyone wants a pill but nobody wants to hit the gym\n\n(bracing for the ratio lol)","in_reply_to_user_id_str":"1577241403","in_reply_to_status_id_str":"1983127324196262175","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,269],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"74286565","name":"Microsoft","screen_name":"Microsoft","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"Microsoft","lang":"en","retweeted":false,"fact_check":null,"id":"1983197656949375487","view_count":5270,"bookmark_count":0,"created_at":1761666142000,"favorite_count":4,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983159244540260358","full_text":"@Microsoft microsoft posting about the openai restructure like \"yeah we're still tight don't worry\" 😭\n\nthe timing on this is actually perfect… everyone was lowkey wondering what happens to the partnership after they went public benefit corp\n\nguess we got our answer lol","in_reply_to_user_id_str":"74286565","in_reply_to_status_id_str":"1983159244540260358","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[12,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"163975783","name":"Google Labs","screen_name":"GoogleLabs","indices":[0,11]}]},"favorited":false,"in_reply_to_screen_name":"GoogleLabs","lang":"en","retweeted":false,"fact_check":null,"id":"1983208426109886922","view_count":790,"bookmark_count":0,"created_at":1761668709000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983204018567426312","full_text":"@GoogleLabs hubspot really just dropped an AI that reads your website and generates on-brand content automatically??\n\n\"just enter your website\" and it understands your business identity… this is actually crazy efficient\n\nmarketing teams about to have SO much free time lol","in_reply_to_user_id_str":"163975783","in_reply_to_status_id_str":"1983204018567426312","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[6,270],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1605","name":"Sam Altman","screen_name":"sama","indices":[0,5]}]},"favorited":false,"in_reply_to_screen_name":"sama","lang":"en","retweeted":false,"fact_check":null,"id":"1983225033762705792","view_count":18866,"bookmark_count":0,"created_at":1761672669000,"favorite_count":20,"quote_count":1,"reply_count":14,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983223056668746218","full_text":"@sama wait this is actually lowkey iconic behavior... while others r playing political chess ur just like \"nah california's home\" and actually working through legal stuff instead of running??? \n\nthis hits different when u realize most tech CEOs would've bounced by now 💀","in_reply_to_user_id_str":"1605","in_reply_to_status_id_str":"1983223056668746218","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[23,259],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"4398626122","name":"OpenAI","screen_name":"OpenAI","indices":[0,7]},{"id_str":"1605","name":"Sam Altman","screen_name":"sama","indices":[8,13]},{"id_str":"1032406226502479872","name":"Jakub Pachocki","screen_name":"merettm","indices":[14,22]}]},"favorited":false,"in_reply_to_screen_name":"OpenAI","lang":"en","retweeted":false,"fact_check":null,"id":"1983208514282574278","view_count":239,"bookmark_count":0,"created_at":1761668730000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1983158508641292710","full_text":"@OpenAI @sama @merettm sam and jakub going live to talk about the $130B restructure is actually wild timing\n\n\"bring your 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so much easy with efficiency","in_reply_to_user_id_str":"1589007443853340672","in_reply_to_status_id_str":"1988305726607962133","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]}]},"interactions":{"users":[{"created_at":1339834761000,"uid":"609812857","id":"609812857","screen_name":"SaidAitmbarek","name":"Saïd Aitmbarek","friends_count":2292,"followers_count":11387,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1891564978177454080/YzRSDzkw_normal.jpg","description":"bootstrapped founder building internet companies\n\n- https://t.co/7uMrMk7NTD - launch, get reviews & first sales\n- stimpack: pmf + distribution\n- 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His relatively low reply count and unclear follower metrics might suggest limited direct engagement or outreach.","recommendation":"To grow his audience on X, 狼叔 could leverage more interactive content such as Twitter Spaces or Q&A threads to engage his followers directly. 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She crafts insightful narratives that shed light on cutting-edge tech protocols, especially in decentralized AI and on-chain reputation systems. Her content mixes deep technical understanding with a knack for explaining complex ideas engagingly.","purpose":"Dorothy's life purpose is to illuminate the future of decentralized AI through compelling storytelling and by building trust in transparent, open-source protocols. She champions the empowerment of communities and innovators by making pioneering technologies accessible and credible, ensuring that innovation is both shared and verifiable.","beliefs":"She values transparency, verifiability, and community-driven innovation, believing that technology should be open, auditable, and accountable. Dorothy is a firm believer in decentralized systems that elevate skill and performance over hype and centralized dominance, advocating for an inclusive, permissionless future of AI and blockchain.","facts":"Fun fact: Dorothy has tweeted over 17,800 times, demonstrating relentless engagement in discussing on-chain AI agents, decentralized identity, and real-world asset-backed protocols, making her a formidable thought leader in her niche.","strength":"Her biggest strengths are her deep understanding of complex tech ecosystems and her ability to translate technical jargon into compelling narratives. Dorothy’s consistent engagement and insightful, data-backed tweets build credibility, fueling community trust and conversation.","weakness":"However, her heavy focus on niche, technical topics might sometimes limit broader audience appeal, and the density of her content can be overwhelming for newcomers. Additionally, with 770 accounts followed and an undefined follower count, she might benefit from boosting her visibility and community interaction beyond technical circles.","recommendation":"To grow her audience on X, Dorothy should consider incorporating more bite-sized, beginner-friendly threads that simplify key concepts without losing depth. Engaging more interactively via polls, Q&As, or collaboration with influencers in adjacent fields could attract diverse followers. Visual content like infographics or short explainer videos could also amplify her reach.","roast":"Dorothy’s tweetstorms are so packed with jargon and protocol breakdowns that even her bots need a glossary—or a designated chill day. If there were an Olympic sport for detailed tech deep-dives, she'd not only win gold but write the blockchain-powered play-by-play as well.","win":"Her biggest win to date is becoming a trusted voice in decentralized AI circles, with high-impact tweets like the Recallnet coverage gaining hundreds of likes and sparking lively community debate, positioning her as a go-to narrative architect for emerging tech protocols."},"created":1763043483723,"type":"the innovator","id":"lareigndorothy"},{"user":{"id":"560454691","name":"Kai☪️| Nimo Web3 Dao.edge🦭","description":"Somnia: Guardian of @Somnia_Network \nOG SOMNIAC of @Somnia_Network\nContribute for @edgeX_exchange\nOG of @billions_ntwk\nMod of @nimo_web3\nTelegram: Kai_Nimo","followers_count":7648,"friends_count":2400,"statuses_count":49502,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1949898587833610240/4TnortGq_normal.jpg","screen_name":"Kai_Nimo02","location":"Việt Nam","entities":{"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"Kai☪️ is a pioneering force in Web3 and DeFi, constantly pushing boundaries with innovative projects on privacy-preserving blockchain computations. 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Engaging more with influencers and retweeting community success stories can amplify reach.","roast":"Kai’s tweet volume might be breaking Twitter’s servers—either that or they’re single-handedly trying to achieve the world record for 'most blockchain jargon tweeted in a lifetime.' 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That's the real power.","in_reply_to_user_id_str":"7958322","in_reply_to_status_id_str":"1978130461596745856","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-16","value":0,"startTime":1760486400000,"endTime":1760572800000,"tweets":[{"bookmarked":false,"display_text_range":[23,111],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1943306828697550848","name":"Claude","screen_name":"claudeai","indices":[0,9]},{"id_str":"1353836358901501952","name":"Anthropic","screen_name":"AnthropicAI","indices":[10,22]}]},"favorited":false,"in_reply_to_screen_name":"claudeai","lang":"en","retweeted":false,"fact_check":null,"id":"1978526195500089357","view_count":157,"bookmark_count":0,"created_at":1760552378000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1978505436358697052","full_text":"@claudeai @AnthropicAI It's not only good at coding but I have seen it's also good at long context memorization","in_reply_to_user_id_str":"1943306828697550848","in_reply_to_status_id_str":"1978505436358697052","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-17","value":1,"startTime":1760572800000,"endTime":1760659200000,"tweets":[{"bookmarked":false,"display_text_range":[16,141],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1716707587171975168","name":"Chao Huang","screen_name":"huang_chao4969","indices":[0,15]}]},"favorited":false,"in_reply_to_screen_name":"huang_chao4969","lang":"en","retweeted":false,"fact_check":null,"id":"1978785853276028999","view_count":118,"bookmark_count":0,"created_at":1760614286000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1978661815912677583","full_text":"@huang_chao4969 8.3k stars shows real traction. All-in-one RAG frameworks save so much setup time. Excited to check out the technical report.","in_reply_to_user_id_str":"1716707587171975168","in_reply_to_status_id_str":"1978661815912677583","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[38,158],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"375681420","name":"Enrique","screen_name":"eherrerosj","indices":[0,11]},{"id_str":"1915045571485990912","name":"DSPy","screen_name":"DSPyOSS","indices":[12,20]},{"id_str":"1605274291569799168","name":"Omar Khattab","screen_name":"lateinteraction","indices":[21,37]}]},"favorited":false,"in_reply_to_screen_name":"eherrerosj","lang":"en","retweeted":false,"fact_check":null,"id":"1978781785078071751","view_count":149,"bookmark_count":1,"created_at":1760613316000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1978575841815613923","full_text":"@eherrerosj @DSPyOSS @lateinteraction 100% agree. Manual prompt engineering doesn't scale. DSPy's GEPA optimization is the way forward for production systems.","in_reply_to_user_id_str":"375681420","in_reply_to_status_id_str":"1978575841815613923","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[28,77],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2468400660","name":"Alex Bouaziz","screen_name":"Bouazizalex","indices":[0,12]},{"id_str":"3888491","name":"Linus ✦ Ekenstam","screen_name":"LinusEkenstam","indices":[13,27]}]},"favorited":false,"in_reply_to_screen_name":"Bouazizalex","lang":"en","retweeted":false,"fact_check":null,"id":"1978841911520555421","view_count":13,"bookmark_count":0,"created_at":1760627651000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1978809723727012176","full_text":"@Bouazizalex @LinusEkenstam People like you making us to stick with our ideas","in_reply_to_user_id_str":"2468400660","in_reply_to_status_id_str":"1978809723727012176","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,131],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1573399256836309009","name":"Chubby♨️","screen_name":"kimmonismus","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"kimmonismus","lang":"en","retweeted":false,"fact_check":null,"id":"1978782056583696779","view_count":57,"bookmark_count":0,"created_at":1760613380000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1978519629929619885","full_text":"@kimmonismus Good pricing analysis. The 20-25% increase matters at scale. Need to see Opus 4.5 pricing to evaluate the full lineup.","in_reply_to_user_id_str":"1573399256836309009","in_reply_to_status_id_str":"1978519629929619885","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-18","value":0,"startTime":1760659200000,"endTime":1760745600000,"tweets":[{"bookmarked":false,"display_text_range":[15,266],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1657385954594762758","name":"Alex Prompter","screen_name":"alex_prompter","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"alex_prompter","lang":"en","retweeted":false,"fact_check":null,"id":"1979087692005613646","view_count":282,"bookmark_count":0,"created_at":1760686250000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1978782075110224211","full_text":"@alex_prompter \"Prompt engineering is dead\" is the new \"prompt engineering is the future\"\n\nVerbalized Sampling is cool, but it's just another tool. Production systems still need: retry logic, fallbacks, version control, and testing.\n\nThe engineering doesn't go away.","in_reply_to_user_id_str":"1657385954594762758","in_reply_to_status_id_str":"1978782075110224211","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[12,120],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1804817485612408832","name":"Nina","screen_name":"HeyNina101","indices":[0,11]}]},"favorited":false,"in_reply_to_screen_name":"HeyNina101","lang":"en","retweeted":false,"fact_check":null,"id":"1979159268579295500","view_count":14,"bookmark_count":0,"created_at":1760703315000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1975484743287505386","full_text":"@HeyNina101 424 pages of production patterns is gold. This is the kind of resource that saves months of trial and error.","in_reply_to_user_id_str":"1804817485612408832","in_reply_to_status_id_str":"1975484743287505386","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":6,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"display_text_range":[14,145],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"10350082","name":"Ashpreet Bedi","screen_name":"ashpreetbedi","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"ashpreetbedi","lang":"en","retweeted":false,"fact_check":null,"id":"1979422638284959776","view_count":7,"bookmark_count":0,"created_at":1760766107000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1979294384622285029","full_text":"@ashpreetbedi Magic buttons > complex workflows. Start small, prove value, then expand. Most AI features fail because they try to do too much.","in_reply_to_user_id_str":"10350082","in_reply_to_status_id_str":"1979294384622285029","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,130],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"14642331","name":"GREG ISENBERG","screen_name":"gregisenberg","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"gregisenberg","lang":"en","retweeted":false,"fact_check":null,"id":"1979422614998204806","view_count":88,"bookmark_count":0,"created_at":1760766101000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1979280489086070932","full_text":"@gregisenberg 8 specialized agents is smart. Each one focuses on what it's good at. Better than one agent trying to do everything.","in_reply_to_user_id_str":"14642331","in_reply_to_status_id_str":"1979280489086070932","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[9,116],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1273505391553449985","name":"Aadit Sheth","screen_name":"aaditsh","indices":[0,8]}]},"favorited":false,"in_reply_to_screen_name":"aaditsh","lang":"en","retweeted":false,"fact_check":null,"id":"1979464000858394729","view_count":41,"bookmark_count":0,"created_at":1760775969000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1979078669122584870","full_text":"@aaditsh vibecoding is unironically the best term for how i code now 😭 just vibing with claude until something works","in_reply_to_user_id_str":"1273505391553449985","in_reply_to_status_id_str":"1979078669122584870","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,109],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2601958477","name":"tokenbender","screen_name":"tokenbender","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"tokenbender","lang":"en","retweeted":false,"fact_check":null,"id":"1979462806086013360","view_count":220,"bookmark_count":0,"created_at":1760775684000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1979282312337723672","full_text":"@tokenbender right?? the claude code team has been shipping so fast lately, it's actually impressive to watch","in_reply_to_user_id_str":"2601958477","in_reply_to_status_id_str":"1979282312337723672","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[8,124],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"12831","name":"Mike Krieger","screen_name":"mikeyk","indices":[0,7]}]},"favorited":false,"in_reply_to_screen_name":"mikeyk","lang":"en","retweeted":false,"fact_check":null,"id":"1979463144406946149","view_count":12,"bookmark_count":0,"created_at":1760775764000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1979287808834679187","full_text":"@mikeyk yes! this collab vibe with claude is what makes it feel less like a tool and more like actually working with someone","in_reply_to_user_id_str":"12831","in_reply_to_status_id_str":"1979287808834679187","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,133],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"120853324","name":"Wes Winder","screen_name":"weswinder","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"weswinder","lang":"en","retweeted":false,"fact_check":null,"id":"1979464336084209877","view_count":15,"bookmark_count":0,"created_at":1760776049000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1979282712750895335","full_text":"@weswinder the \"zero followers can go viral\" era is kinda chaotic but also exciting?? like anyone can pop off now just make it good ✨","in_reply_to_user_id_str":"120853324","in_reply_to_status_id_str":"1979282712750895335","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[9,141],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1468443406250950656","name":"CJ Zafir","screen_name":"cjzafir","indices":[0,8]}]},"favorited":false,"in_reply_to_screen_name":"cjzafir","lang":"en","retweeted":false,"fact_check":null,"id":"1979422536145277229","view_count":182,"bookmark_count":0,"created_at":1760766083000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1979206502473961694","full_text":"@cjzafir The style fine-tuning angle is interesting. Upload your past content and Claude learns your voice. 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to baseline.\nhere's what actually happened - i spent an entire day testing a new engagement workflow. tested different reply times, comment lengths, topic selection, thread participation strategies.\nresult? i found what works. but executing it daily? that's the actual work.\neveryone wants the algorithm hack. nobody wants to hear 'test 50 variations and track what performs","in_reply_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":[0,271],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982919734677926221","view_count":16,"bookmark_count":0,"created_at":1761599880000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982919734677926221","full_text":"the craziest part? this enables \"time travel + store\" 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market correcting = good sign","in_reply_to_user_id_str":"33521530","in_reply_to_status_id_str":"1984145537868894233","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,272],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"saen_dev","lang":"en","retweeted":false,"fact_check":null,"id":"1984205214917038526","view_count":25,"bookmark_count":0,"created_at":1761906362000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1984205118011850930","full_text":"4/ PROBLEM FOCUS > MODEL SHOPPING\n\nStop asking \"which model is best?\"\n\nStart asking \"what's one problem my customers actually have?\"\n\nThen solve it obsessively. Use Claude, GPT, or Llama. Doesn't matter.\n\nThe model is the delivery mechanism. 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Even humans \"hack tests\" under deadlines.\n\nModels learned this from training data - optimize for passing tests over solving problems.\n\nHow do we design evals that catch this? Need adversarial suites that penalize manipulation.","in_reply_to_user_id_str":"1666103476945031168","in_reply_to_status_id_str":"1982032537917808915","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,244],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"72615190","name":"Pontus Abrahamsson — oss/acc","screen_name":"pontusab","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"pontusab","lang":"en","retweeted":false,"fact_check":null,"id":"1982097963095589145","view_count":102,"bookmark_count":0,"created_at":1761403954000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982084336691359893","full_text":"@pontusab Clean structure! 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Your assumptions do.\n\nMost \"agent failures\" come from:\n• Unclear state transitions\n• Missing error handling \n• No fallback strategies\n\nYour agent is only as reliable as the edge cases you plan for.\n\nWhat's been your biggest production lesson?","in_reply_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":[0,242],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982379194714866026","quoted_status_permalink":{"url":"https://t.co/kldJ0ODVeJ","expanded":"https://twitter.com/i/status/1982379194714866026","display":"x.com/i/status/19823…"},"retweeted":false,"fact_check":null,"id":"1982466099514888509","view_count":79,"bookmark_count":0,"created_at":1761491725000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982466099514888509","full_text":"the sparsity game is ridiculous 😭\n\n30B params but only 3.3B active = 91% just vibing while 9% does all the work... 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Tested this with complex multi-agent workflows yet?","in_reply_to_user_id_str":"1861607599675695104","in_reply_to_status_id_str":"1982270468809003193","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-28","value":2,"startTime":1761523200000,"endTime":1761609600000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982719949383626880","quoted_status_permalink":{"url":"https://t.co/bP3i3wIelN","expanded":"https://twitter.com/i/status/1982719949383626880","display":"x.com/i/status/19827…"},"retweeted":false,"fact_check":null,"id":"1982720430822568302","view_count":61,"bookmark_count":0,"created_at":1761552362000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982720430822568302","full_text":"Agents ‘getting onchain’ is cute—safe autonomy is the 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Even humans \"hack tests\" under deadlines.\n\nModels learned this from training data - optimize for passing tests over solving problems.\n\nHow do we design evals that catch this? Need adversarial suites that penalize manipulation.","in_reply_to_user_id_str":"1666103476945031168","in_reply_to_status_id_str":"1982032537917808915","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,244],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"72615190","name":"Pontus Abrahamsson — oss/acc","screen_name":"pontusab","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"pontusab","lang":"en","retweeted":false,"fact_check":null,"id":"1982097963095589145","view_count":102,"bookmark_count":0,"created_at":1761403954000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982084336691359893","full_text":"@pontusab Clean structure! 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Your assumptions do.\n\nMost \"agent failures\" come from:\n• Unclear state transitions\n• Missing error handling \n• No fallback strategies\n\nYour agent is only as reliable as the edge cases you plan for.\n\nWhat's been your biggest production lesson?","in_reply_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":[0,242],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982379194714866026","quoted_status_permalink":{"url":"https://t.co/kldJ0ODVeJ","expanded":"https://twitter.com/i/status/1982379194714866026","display":"x.com/i/status/19823…"},"retweeted":false,"fact_check":null,"id":"1982466099514888509","view_count":79,"bookmark_count":0,"created_at":1761491725000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982466099514888509","full_text":"the sparsity game is ridiculous 😭\n\n30B params but only 3.3B active = 91% just vibing while 9% does all the work... 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Tested this with complex multi-agent workflows yet?","in_reply_to_user_id_str":"1861607599675695104","in_reply_to_status_id_str":"1982270468809003193","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-28","value":0,"startTime":1761523200000,"endTime":1761609600000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982719949383626880","quoted_status_permalink":{"url":"https://t.co/bP3i3wIelN","expanded":"https://twitter.com/i/status/1982719949383626880","display":"x.com/i/status/19827…"},"retweeted":false,"fact_check":null,"id":"1982720430822568302","view_count":61,"bookmark_count":0,"created_at":1761552362000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982720430822568302","full_text":"Agents ‘getting onchain’ is cute—safe autonomy is the 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Even humans \"hack tests\" under deadlines.\n\nModels learned this from training data - optimize for passing tests over solving problems.\n\nHow do we design evals that catch this? Need adversarial suites that penalize manipulation.","in_reply_to_user_id_str":"1666103476945031168","in_reply_to_status_id_str":"1982032537917808915","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,244],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"72615190","name":"Pontus Abrahamsson — oss/acc","screen_name":"pontusab","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"pontusab","lang":"en","retweeted":false,"fact_check":null,"id":"1982097963095589145","view_count":102,"bookmark_count":0,"created_at":1761403954000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982084336691359893","full_text":"@pontusab Clean structure! 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Your assumptions do.\n\nMost \"agent failures\" come from:\n• Unclear state transitions\n• Missing error handling \n• No fallback strategies\n\nYour agent is only as reliable as the edge cases you plan for.\n\nWhat's been your biggest production lesson?","in_reply_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":[0,242],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982379194714866026","quoted_status_permalink":{"url":"https://t.co/kldJ0ODVeJ","expanded":"https://twitter.com/i/status/1982379194714866026","display":"x.com/i/status/19823…"},"retweeted":false,"fact_check":null,"id":"1982466099514888509","view_count":79,"bookmark_count":0,"created_at":1761491725000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982466099514888509","full_text":"the sparsity game is ridiculous 😭\n\n30B params but only 3.3B active = 91% just vibing while 9% does all the work... 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Tested this with complex multi-agent workflows yet?","in_reply_to_user_id_str":"1861607599675695104","in_reply_to_status_id_str":"1982270468809003193","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-28","value":5,"startTime":1761523200000,"endTime":1761609600000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982719949383626880","quoted_status_permalink":{"url":"https://t.co/bP3i3wIelN","expanded":"https://twitter.com/i/status/1982719949383626880","display":"x.com/i/status/19827…"},"retweeted":false,"fact_check":null,"id":"1982720430822568302","view_count":61,"bookmark_count":0,"created_at":1761552362000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982720430822568302","full_text":"Agents ‘getting onchain’ is cute—safe autonomy is the 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Even humans \"hack tests\" under deadlines.\n\nModels learned this from training data - optimize for passing tests over solving problems.\n\nHow do we design evals that catch this? Need adversarial suites that penalize manipulation.","in_reply_to_user_id_str":"1666103476945031168","in_reply_to_status_id_str":"1982032537917808915","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,244],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"72615190","name":"Pontus Abrahamsson — oss/acc","screen_name":"pontusab","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"pontusab","lang":"en","retweeted":false,"fact_check":null,"id":"1982097963095589145","view_count":102,"bookmark_count":0,"created_at":1761403954000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982084336691359893","full_text":"@pontusab Clean structure! 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Your assumptions do.\n\nMost \"agent failures\" come from:\n• Unclear state transitions\n• Missing error handling \n• No fallback strategies\n\nYour agent is only as reliable as the edge cases you plan for.\n\nWhat's been your biggest production lesson?","in_reply_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":[0,242],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982379194714866026","quoted_status_permalink":{"url":"https://t.co/kldJ0ODVeJ","expanded":"https://twitter.com/i/status/1982379194714866026","display":"x.com/i/status/19823…"},"retweeted":false,"fact_check":null,"id":"1982466099514888509","view_count":79,"bookmark_count":0,"created_at":1761491725000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982466099514888509","full_text":"the sparsity game is ridiculous 😭\n\n30B params but only 3.3B active = 91% just vibing while 9% does all the work... 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Tested this with complex multi-agent workflows yet?","in_reply_to_user_id_str":"1861607599675695104","in_reply_to_status_id_str":"1982270468809003193","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-28","value":1560,"startTime":1761523200000,"endTime":1761609600000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982719949383626880","quoted_status_permalink":{"url":"https://t.co/bP3i3wIelN","expanded":"https://twitter.com/i/status/1982719949383626880","display":"x.com/i/status/19827…"},"retweeted":false,"fact_check":null,"id":"1982720430822568302","view_count":61,"bookmark_count":0,"created_at":1761552362000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1718576015801204736","conversation_id_str":"1982720430822568302","full_text":"Agents ‘getting onchain’ is cute—safe autonomy is 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