Get live statistics and analysis of Ryan 's profile on X / Twitter Archetype analysis The Innovator Ryan is a trailblazing tech visionary deeply embedded in AI reliability and healthcare automation. With a background as a CTO and a track record of building key industry tools, he's passionate about transforming complex AI challenges into robust, real-world solutions. His tweets blend data-driven insights with hands-on experiences, making him a go-to for those interested in AI evaluation and production readiness.
Social Circle
Top users who interacted with Ryan over the last 14 days
š„ Roast Ryanās so deep in AI debugging that when he spots a bug in his coffee machine, he tries version controlling his morning brewābecause who wouldnāt want a perfect caffeine rollout?
ā”ļø Nice achievement Successfully developed ARC-AGI 2 evaluations and led automated reliability testing for Novo Nordisk, directly influencing safer healthcare AI deployment.
š Life's purpose Ryan's life purpose revolves around pioneering dependable AI systems that improve healthcare outcomes by ensuring models are rigorously tested and reliable before deployment. He strives to bridge cutting-edge AI research with practical, impactful applications that enhance trust in automated technologies.
š¬ Values and Beliefs He believes that AI should be treated like any scientific instrumentāmeasured, versioned, and continuously validated against real data rather than assumptions. Integrity, precision, and transparency underpin his approach, along with a commitment to building communities that learn and grow together.
šŖ Strength Ryanās greatest strength lies in his analytical rigor combined with innovative thinking, enabling him to identify subtle errors and improve AI model reliability effectively. His ability to translate deep technical knowledge into accessible insights fosters meaningful community engagement.
š«£ Weakness His laser focus on technical perfection can sometimes overshadow the softer aspects of community-building and outward-facing communication, which might limit his wider audience reach at times.
ā”ļø Growth audience tips To grow his audience on X, Ryan should share more behind-the-scenes stories and simplified visuals that highlight the human impact of his technical work, tapping into the community and influencer archetypes. Engaging in dialogues and collaborations will amplify his voice beyond AI specialists.
š Bonus Fun fact: Despite his intense focus on complex AI evaluations and healthcare automation, Ryan rarely wins raffles but recently broke the streak at a community event, proving that even the most analytical minds can get lucky!
Top tweets of RyanWhen you deploy an LLM-as-a-Judge, youāre shipping a classifier into production.
Each new version is a hypothesis about how the model interprets the world.
Itās data science, just expressed in natural language.
Hereās what that looked like for a recent client project where we trained an evaluator to detect a specific agent error type (labeled Category 1 failures) before release.
Dataset
Dev: 104 labeled traces (46 failures, 58 clean)
Eval: 95 labeled traces (34 failures, 61 clean)
What We Saw
v1 established a clear baseline.
v2 drove recall higher but overfit to the dev set, collapsing generalization.
v3 made surgical adjustments that clarified āwhen not to trigger,ā improving specificity and stability.
v10 is when started to see a step change in the eval set performance, a sign the judge was beginning to generalize.
Why It Matters
I find that teams often fall into the trap of assuming the llm works without verifying it through hard data. This is a big mistake! Look at the numbers below and see for yourself. Even with careful preparation, the model still fails to correctly classify more than 80 percent of actual labeled errors.
A few percent of overfit recall here, a small generalization gap there, and suddenly your CI isnāt filtering what you think it is.
Treat them like classifiers: versioned, measured, and tuned against held-out data.
Thatās how you keep agents honest in production.
@HamelHusain @sh_reya
Iāve applied to YC four times. Never got an interview.
Techstars: final round. Rejected.
HF0: final interview. Rejected.
Iāve been laid off. Iāve pivoted a startup ten times only to walk away. Iāve helped raise millions, only to realize it wasnāt the right fit for me.
Startups are hard.
Founding is harder.
Trying again after failing, after burning out, after losing confidence... thatās the hardest part.
For the last few years, Iāve been chasing something I couldnāt name at the time.
I thought it was product-market fit. Or a big raise. Or external validation.
What Iāve come to realize is: I was chasing agency. Clarity. And the ability to build something on my own terms.
After everything (failed applications, near misses, layoffs, leaving companies I helped start) I went back to basics.
I focused on solving real problems for real customers.
I automated everything I could.
I stayed lean.
And I started shipping.
Now I run a profitable solo AI consulting practice.
High-margin, high-leverage, and fully bootstrapped.
Thereās a clear path to $1M/year.
And more importantly: I like what Iām building and who Iām building with.
Iām sharing this because I know how it feels to be in the middle of it.
The rejections. The near wins. The identity crisis.
The feeling that maybe itās just not going to happen for you.
But I promise: if you keep going, it can.
Sometimes you don't need to get picked.
Sometimes you just need to start.
Cursor isnāt just for coding. Itās a second brain for building.
Iāve written my YC application, my CRM system, and half my companyās infrastructure inside Cursor.
Inside Cursor, I can:
Build and run my CRM that ties in emails, iMessages, and deals
Generate clean diagrams with Claude Code using SVG prompts
Draft long-form applications and then refactor them like code
Open my Markdown notes, version them, and search across everything instantly
The magic isnāt just autocomplete.
Itās statefulness.
Your ideas live next to your code, your thoughts next to your tools.
Every new insight compounds.
When people ask how I move so fast, itās because everything happens inside Cursor.
The boundary between āthinking,ā āwriting,ā and ābuildingā disappears.
If youāre only using Cursor for coding, youāre missing its real potential.
Most engaged tweets of RyanWhen you deploy an LLM-as-a-Judge, youāre shipping a classifier into production.
Each new version is a hypothesis about how the model interprets the world.
Itās data science, just expressed in natural language.
Hereās what that looked like for a recent client project where we trained an evaluator to detect a specific agent error type (labeled Category 1 failures) before release.
Dataset
Dev: 104 labeled traces (46 failures, 58 clean)
Eval: 95 labeled traces (34 failures, 61 clean)
What We Saw
v1 established a clear baseline.
v2 drove recall higher but overfit to the dev set, collapsing generalization.
v3 made surgical adjustments that clarified āwhen not to trigger,ā improving specificity and stability.
v10 is when started to see a step change in the eval set performance, a sign the judge was beginning to generalize.
Why It Matters
I find that teams often fall into the trap of assuming the llm works without verifying it through hard data. This is a big mistake! Look at the numbers below and see for yourself. Even with careful preparation, the model still fails to correctly classify more than 80 percent of actual labeled errors.
A few percent of overfit recall here, a small generalization gap there, and suddenly your CI isnāt filtering what you think it is.
Treat them like classifiers: versioned, measured, and tuned against held-out data.
Thatās how you keep agents honest in production.
@HamelHusain @sh_reya
Iāve applied to YC four times. Never got an interview.
Techstars: final round. Rejected.
HF0: final interview. Rejected.
Iāve been laid off. Iāve pivoted a startup ten times only to walk away. Iāve helped raise millions, only to realize it wasnāt the right fit for me.
Startups are hard.
Founding is harder.
Trying again after failing, after burning out, after losing confidence... thatās the hardest part.
For the last few years, Iāve been chasing something I couldnāt name at the time.
I thought it was product-market fit. Or a big raise. Or external validation.
What Iāve come to realize is: I was chasing agency. Clarity. And the ability to build something on my own terms.
After everything (failed applications, near misses, layoffs, leaving companies I helped start) I went back to basics.
I focused on solving real problems for real customers.
I automated everything I could.
I stayed lean.
And I started shipping.
Now I run a profitable solo AI consulting practice.
High-margin, high-leverage, and fully bootstrapped.
Thereās a clear path to $1M/year.
And more importantly: I like what Iām building and who Iām building with.
Iām sharing this because I know how it feels to be in the middle of it.
The rejections. The near wins. The identity crisis.
The feeling that maybe itās just not going to happen for you.
But I promise: if you keep going, it can.
Sometimes you don't need to get picked.
Sometimes you just need to start.
People with Innovator archetype The Innovator The Innovator Diller šŖ @d1lr šŖ ē©ŗęēäŗŗļ½Yapę°å“å¶é ęŗļ½å åÆę¢¦č”č
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#äŗē² #YAPPER #CONNECT #WEB3 #KAITO
Airdrop Seeker | Yap Soul Active | Dream Trader š
Follow & explore the Web3 future
264 following 440 followers
The Innovator harshbajpai @bajpaiharsh244 accelerating @aztecnetwork ā”ļø | views are my own | zcash is planetary scale, unstoppable, encrypted money!
1k following 4k followers
The Innovator The Innovator The Innovator The Innovator Travis Davids @MrDavids1 3D Digital Artist šØ Teacher š„ļø Tea Drinker ā Avid Explorer š I Experiment With AI As Well šæš¦ CPP on Hailuo, Kling, Runway, Pixverse, Pika
6k following 19k followers
The Innovator eunice @eunifiedworld experimenting @whySonder , prev cmo at series. decision science + HCI @ cmu. i make life look beautiful on ig . Żā ā¹
594 following 12k followers
The Innovator ā @heykastrah making it possible to find, order, and refill your medications with ease @FamasiAfrica
437 following 917 followers
The Innovator davek @davek_btc vibecoder building mvps, ai powered workflows, business and social experiments, supabase, agents, dashboards, shipping daily, always learning.
553 following 1k followers
The Innovator The Innovator oscar gabriel @oscabriel data analyst learning web dev / plant-based / chill goth
529 following 257 followers
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There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? The interesting thing is when examining my recent experiences more closely, it doesnāt seem to correlate with those people being good at their job (though it often does). The common thread seemed to be the willingness to do the work and learn enthusiastically. Thatās the sacrament.\n\nIām not Hindu, and never will be. Despite that, his faith triggered me to re-examine my own philosophy towards work. Forget about outcomes and rewards ā that comes after work, but isnāt the thing itself. Work is a process of pure creation, a rejection of nihilism, disorder and despair. 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Intuitively this approach seems correct, especially in highly subjective arenas like art. \n\nIt does make me wonder, how would you measure the effectiveness of a given search pipeline?\n\nOf the top of my head it could be metrics around how many queries a user must make to find their desired result, and which indexes played the vital role in locating it.","in_reply_to_user_id_str":"825766640","in_reply_to_status_id_str":"1981058019250360595","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,95],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1459767830623178755","name":"PaweÅ Huryn","screen_name":"PawelHuryn","indices":[0,11]},{"id_str":"33836629","name":"Andrej Karpathy","screen_name":"karpathy","indices":[12,21]}]},"favorited":false,"in_reply_to_screen_name":"PawelHuryn","lang":"en","retweeted":false,"fact_check":null,"id":"1981148917694943608","view_count":1465,"bookmark_count":0,"created_at":1761177684000,"favorite_count":4,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981036301060096371","full_text":"@PawelHuryn @karpathy Love when people actually work with data instead of broad generalizations","in_reply_to_user_id_str":"1459767830623178755","in_reply_to_status_id_str":"1981036301060096371","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":0,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"calendly.com/ryan-vunda/15mā¦","expanded_url":"https://calendly.com/ryan-vunda/15min","url":"https://t.co/6THNKguOUX","indices":[601,624]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981533637326913989","view_count":60,"bookmark_count":0,"created_at":1761269408000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981533637326913989","full_text":"Iāve been heads down the last few weeks building and refining Social Inbox, and itās reminded me of something Iād forgotten:\n\nThe biggest breakthroughs rarely come from inspiration. 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friend asked me how to make reliable agents. 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It's surprising how much resistance there is to doing it! 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Wish I'd put in more","in_reply_to_user_id_str":"1807076305864687616","in_reply_to_status_id_str":"1978965424357154971","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":0,"startTime":1760745600000,"endTime":1760832000000,"tweets":[]},{"label":"2025-10-20","value":0,"startTime":1760832000000,"endTime":1760918400000,"tweets":[]},{"label":"2025-10-21","value":95,"startTime":1760918400000,"endTime":1761004800000,"tweets":[{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/KLgCZQNpY6","expanded_url":"https://x.com/_PaperMoose_/status/1980384612036890932/photo/1","id_str":"1980383126443458560","indices":[280,303],"media_key":"3_1980383126443458560","media_url_https":"https://pbs.twimg.com/media/G3u79gLXAAAXZAe.jpg","type":"photo","url":"https://t.co/KLgCZQNpY6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":620,"w":1946,"resize":"fit"},"medium":{"h":382,"w":1200,"resize":"fit"},"small":{"h":217,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":620,"width":1946,"focus_rects":[{"x":0,"y":0,"w":1107,"h":620},{"x":0,"y":0,"w":620,"h":620},{"x":0,"y":0,"w":544,"h":620},{"x":88,"y":0,"w":310,"h":620},{"x":0,"y":0,"w":1946,"h":620}]},"media_results":{"result":{"media_key":"3_1980383126443458560"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"825766640","name":"Hamel Husain","screen_name":"HamelHusain","indices":[1428,1440]},{"id_str":"2286218053","name":"Shreya Shankar","screen_name":"sh_reya","indices":[1441,1449]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/KLgCZQNpY6","expanded_url":"https://x.com/_PaperMoose_/status/1980384612036890932/photo/1","id_str":"1980383126443458560","indices":[280,303],"media_key":"3_1980383126443458560","media_url_https":"https://pbs.twimg.com/media/G3u79gLXAAAXZAe.jpg","type":"photo","url":"https://t.co/KLgCZQNpY6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":620,"w":1946,"resize":"fit"},"medium":{"h":382,"w":1200,"resize":"fit"},"small":{"h":217,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":620,"width":1946,"focus_rects":[{"x":0,"y":0,"w":1107,"h":620},{"x":0,"y":0,"w":620,"h":620},{"x":0,"y":0,"w":544,"h":620},{"x":88,"y":0,"w":310,"h":620},{"x":0,"y":0,"w":1946,"h":620}]},"media_results":{"result":{"media_key":"3_1980383126443458560"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1980384612036890932","view_count":8244,"bookmark_count":95,"created_at":1760995459000,"favorite_count":108,"quote_count":1,"reply_count":5,"retweet_count":11,"user_id_str":"897875988222271488","conversation_id_str":"1980384612036890932","full_text":"When you deploy an LLM-as-a-Judge, youāre shipping a classifier into production.\n\nEach new version is a hypothesis about how the model interprets the world.\n\nItās data science, just expressed in natural language.\n\nHereās what that looked like for a recent client project where we trained an evaluator to detect a specific agent error type (labeled Category 1 failures) before release.\n\nDataset\n\nDev: 104 labeled traces (46 failures, 58 clean)\n\nEval: 95 labeled traces (34 failures, 61 clean)\n\nWhat We Saw\n\nv1 established a clear baseline.\n\nv2 drove recall higher but overfit to the dev set, collapsing generalization.\n\nv3 made surgical adjustments that clarified āwhen not to trigger,ā improving specificity and stability.\n\nv10 is when started to see a step change in the eval set performance, a sign the judge was beginning to generalize. \n\nWhy It Matters\n\nI find that teams often fall into the trap of assuming the llm works without verifying it through hard data. This is a big mistake! Look at the numbers below and see for yourself. Even with careful preparation, the model still fails to correctly classify more than 80 percent of actual labeled errors.\n\nA few percent of overfit recall here, a small generalization gap there, and suddenly your CI isnāt filtering what you think it is.\n\nTreat them like classifiers: versioned, measured, and tuned against held-out data.\n\nThatās how you keep agents honest in production.\n\n@HamelHusain @sh_reya","in_reply_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":[14,34],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1528595257230667782","name":"jonathan liu","screen_name":"jonathanzliu","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"jonathanzliu","lang":"en","retweeted":false,"fact_check":null,"id":"1980330131437813781","view_count":87,"bookmark_count":0,"created_at":1760982470000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980320814546489598","full_text":"@jonathanzliu We'll get you there.","in_reply_to_user_id_str":"1528595257230667782","in_reply_to_status_id_str":"1980320814546489598","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-22","value":0,"startTime":1761004800000,"endTime":1761091200000,"tweets":[{"bookmarked":false,"display_text_range":[10,38],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1980698014454018153","view_count":14,"bookmark_count":0,"created_at":1761070180000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980667660313711092","full_text":"@garrytan I'm biased, but would agree!","in_reply_to_user_id_str":"11768582","in_reply_to_status_id_str":"1980667660313711092","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-23","value":1,"startTime":1761091200000,"endTime":1761177600000,"tweets":[{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2286218053","name":"Shreya Shankar","screen_name":"sh_reya","indices":[1030,1038]},{"id_str":"825766640","name":"Hamel Husain","screen_name":"HamelHusain","indices":[1039,1051]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1980790819675336728","view_count":37,"bookmark_count":0,"created_at":1761092307000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980790819675336728","full_text":"PSA: Stop wasting money running your CI agent evaluators on every commit.\n\nIf your LLM agentās behavior hasnāt changed, your eval results wonāt either. Despite that, I still see teams run it every time there's a new commit on a branch! It's a waste of money, sure, but more importantly with multiple judges it can dramatically slow your time to deploy per PR, driving velocity down. \n\nHereās the fix:\n\n1. Identify the files that actually define agent behavior, your prompt templates, chain logic, and config files.\n2. Update your GitHub CI workflow to only run evals when those files change.\n3. Keep everything else (like docs or small refactors) from triggering expensive eval runs.\n\nIn GitHub Actions, you can do it easily:\non:\n push:\n paths:\n - 'src/agent/**'\n - 'prompts/**'\n - 'config/**'\n\nYour deployment speed (and your wallet) will thank you!\n\n(the only caveat to this is if your confidence interval for your evaluators is wide, in which case ignore CI until you've bootstrapped your trace collection)\n\n@sh_reya @HamelHusain","in_reply_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":"1981146115782406648","view_count":93,"bookmark_count":1,"created_at":1761177016000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981146115782406648","full_text":"I recently worked with an exceptional Indian engineer, and during lunch one day the conversation turned to work and our attitudes towards it. We had often pulled 11-12 hours days together and I was curious what drove him.\n\nHe mentioned a concept that Iād never heard articulated before, āWork is worshipā.\n\nI was intrigued and asked him to elaborate. He explained that in Hinduism often one develops an affinity or relationship with one specific god, and his was Ganesha, god of wisdom and remover of obstacles. To him, and many others, work was a form of connection and celebration of the divine.\n\nItās still sitting with me days later. To many, work is an uncomfortable and unpleasant fact of life, something to be ābalancedā with the real living that takes place outside the confines of the workday. To him, there was no distinction between work and life, they were one and the same. The carrying out of one was the celebration of the other.\n\nPut another way, everything matters. There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? 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Shameless plug for my company Vunda AI, which I did instead of working at OpenAI once I saw this opportunity","in_reply_to_user_id_str":"216939636","in_reply_to_status_id_str":"1978867684537438628","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":[9,75],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2286218053","name":"Shreya Shankar","screen_name":"sh_reya","indices":[0,8]}]},"favorited":false,"in_reply_to_screen_name":"sh_reya","lang":"en","retweeted":false,"fact_check":null,"id":"1979026965114831135","view_count":63,"bookmark_count":0,"created_at":1760671771000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1978889400508649964","full_text":"@sh_reya Your class totally changed the trajectory of the agents I build :)","in_reply_to_user_id_str":"2286218053","in_reply_to_status_id_str":"1978889400508649964","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,85],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1807076305864687616","name":"Jeremy Ro","screen_name":"jjeremyro","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"jjeremyro","lang":"en","retweeted":false,"fact_check":null,"id":"1979066310710407511","view_count":572,"bookmark_count":0,"created_at":1760681152000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1978965424357154971","full_text":"@jjeremyro lol mfw when I see this from a company I invested in. Wish I'd put in more","in_reply_to_user_id_str":"1807076305864687616","in_reply_to_status_id_str":"1978965424357154971","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":0,"startTime":1760745600000,"endTime":1760832000000,"tweets":[]},{"label":"2025-10-20","value":0,"startTime":1760832000000,"endTime":1760918400000,"tweets":[]},{"label":"2025-10-21","value":11,"startTime":1760918400000,"endTime":1761004800000,"tweets":[{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/KLgCZQNpY6","expanded_url":"https://x.com/_PaperMoose_/status/1980384612036890932/photo/1","id_str":"1980383126443458560","indices":[280,303],"media_key":"3_1980383126443458560","media_url_https":"https://pbs.twimg.com/media/G3u79gLXAAAXZAe.jpg","type":"photo","url":"https://t.co/KLgCZQNpY6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":620,"w":1946,"resize":"fit"},"medium":{"h":382,"w":1200,"resize":"fit"},"small":{"h":217,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":620,"width":1946,"focus_rects":[{"x":0,"y":0,"w":1107,"h":620},{"x":0,"y":0,"w":620,"h":620},{"x":0,"y":0,"w":544,"h":620},{"x":88,"y":0,"w":310,"h":620},{"x":0,"y":0,"w":1946,"h":620}]},"media_results":{"result":{"media_key":"3_1980383126443458560"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"825766640","name":"Hamel Husain","screen_name":"HamelHusain","indices":[1428,1440]},{"id_str":"2286218053","name":"Shreya Shankar","screen_name":"sh_reya","indices":[1441,1449]}]},"extended_entities":{"media":[{"display_url":"pic.x.com/KLgCZQNpY6","expanded_url":"https://x.com/_PaperMoose_/status/1980384612036890932/photo/1","id_str":"1980383126443458560","indices":[280,303],"media_key":"3_1980383126443458560","media_url_https":"https://pbs.twimg.com/media/G3u79gLXAAAXZAe.jpg","type":"photo","url":"https://t.co/KLgCZQNpY6","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":620,"w":1946,"resize":"fit"},"medium":{"h":382,"w":1200,"resize":"fit"},"small":{"h":217,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":620,"width":1946,"focus_rects":[{"x":0,"y":0,"w":1107,"h":620},{"x":0,"y":0,"w":620,"h":620},{"x":0,"y":0,"w":544,"h":620},{"x":88,"y":0,"w":310,"h":620},{"x":0,"y":0,"w":1946,"h":620}]},"media_results":{"result":{"media_key":"3_1980383126443458560"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1980384612036890932","view_count":8244,"bookmark_count":95,"created_at":1760995459000,"favorite_count":108,"quote_count":1,"reply_count":5,"retweet_count":11,"user_id_str":"897875988222271488","conversation_id_str":"1980384612036890932","full_text":"When you deploy an LLM-as-a-Judge, youāre shipping a classifier into production.\n\nEach new version is a hypothesis about how the model interprets the world.\n\nItās data science, just expressed in natural language.\n\nHereās what that looked like for a recent client project where we trained an evaluator to detect a specific agent error type (labeled Category 1 failures) before release.\n\nDataset\n\nDev: 104 labeled traces (46 failures, 58 clean)\n\nEval: 95 labeled traces (34 failures, 61 clean)\n\nWhat We Saw\n\nv1 established a clear baseline.\n\nv2 drove recall higher but overfit to the dev set, collapsing generalization.\n\nv3 made surgical adjustments that clarified āwhen not to trigger,ā improving specificity and stability.\n\nv10 is when started to see a step change in the eval set performance, a sign the judge was beginning to generalize. \n\nWhy It Matters\n\nI find that teams often fall into the trap of assuming the llm works without verifying it through hard data. This is a big mistake! Look at the numbers below and see for yourself. Even with careful preparation, the model still fails to correctly classify more than 80 percent of actual labeled errors.\n\nA few percent of overfit recall here, a small generalization gap there, and suddenly your CI isnāt filtering what you think it is.\n\nTreat them like classifiers: versioned, measured, and tuned against held-out data.\n\nThatās how you keep agents honest in production.\n\n@HamelHusain @sh_reya","in_reply_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":[14,34],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1528595257230667782","name":"jonathan liu","screen_name":"jonathanzliu","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"jonathanzliu","lang":"en","retweeted":false,"fact_check":null,"id":"1980330131437813781","view_count":87,"bookmark_count":0,"created_at":1760982470000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980320814546489598","full_text":"@jonathanzliu We'll get you there.","in_reply_to_user_id_str":"1528595257230667782","in_reply_to_status_id_str":"1980320814546489598","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-22","value":0,"startTime":1761004800000,"endTime":1761091200000,"tweets":[{"bookmarked":false,"display_text_range":[10,38],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1980698014454018153","view_count":14,"bookmark_count":0,"created_at":1761070180000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980667660313711092","full_text":"@garrytan I'm biased, but would agree!","in_reply_to_user_id_str":"11768582","in_reply_to_status_id_str":"1980667660313711092","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-23","value":0,"startTime":1761091200000,"endTime":1761177600000,"tweets":[{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2286218053","name":"Shreya Shankar","screen_name":"sh_reya","indices":[1030,1038]},{"id_str":"825766640","name":"Hamel Husain","screen_name":"HamelHusain","indices":[1039,1051]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1980790819675336728","view_count":37,"bookmark_count":0,"created_at":1761092307000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980790819675336728","full_text":"PSA: Stop wasting money running your CI agent evaluators on every commit.\n\nIf your LLM agentās behavior hasnāt changed, your eval results wonāt either. Despite that, I still see teams run it every time there's a new commit on a branch! It's a waste of money, sure, but more importantly with multiple judges it can dramatically slow your time to deploy per PR, driving velocity down. \n\nHereās the fix:\n\n1. Identify the files that actually define agent behavior, your prompt templates, chain logic, and config files.\n2. Update your GitHub CI workflow to only run evals when those files change.\n3. Keep everything else (like docs or small refactors) from triggering expensive eval runs.\n\nIn GitHub Actions, you can do it easily:\non:\n push:\n paths:\n - 'src/agent/**'\n - 'prompts/**'\n - 'config/**'\n\nYour deployment speed (and your wallet) will thank you!\n\n(the only caveat to this is if your confidence interval for your evaluators is wide, in which case ignore CI until you've bootstrapped your trace collection)\n\n@sh_reya @HamelHusain","in_reply_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":"1981146115782406648","view_count":93,"bookmark_count":1,"created_at":1761177016000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981146115782406648","full_text":"I recently worked with an exceptional Indian engineer, and during lunch one day the conversation turned to work and our attitudes towards it. We had often pulled 11-12 hours days together and I was curious what drove him.\n\nHe mentioned a concept that Iād never heard articulated before, āWork is worshipā.\n\nI was intrigued and asked him to elaborate. He explained that in Hinduism often one develops an affinity or relationship with one specific god, and his was Ganesha, god of wisdom and remover of obstacles. To him, and many others, work was a form of connection and celebration of the divine.\n\nItās still sitting with me days later. To many, work is an uncomfortable and unpleasant fact of life, something to be ābalancedā with the real living that takes place outside the confines of the workday. To him, there was no distinction between work and life, they were one and the same. The carrying out of one was the celebration of the other.\n\nPut another way, everything matters. There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? The interesting thing is when examining my recent experiences more closely, it doesnāt seem to correlate with those people being good at their job (though it often does). The common thread seemed to be the willingness to do the work and learn enthusiastically. Thatās the sacrament.\n\nIām not Hindu, and never will be. Despite that, his faith triggered me to re-examine my own philosophy towards work. Forget about outcomes and rewards ā that comes after work, but isnāt the thing itself. Work is a process of pure creation, a rejection of nihilism, disorder and despair. In a universe bound by entropy I struggle to think of a more fitting way to worship the divine.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-24","value":0,"startTime":1761177600000,"endTime":1761264000000,"tweets":[{"bookmarked":false,"display_text_range":[13,293],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"825766640","name":"Hamel Husain","screen_name":"HamelHusain","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"HamelHusain","lang":"en","retweeted":false,"fact_check":null,"id":"1981151708207296653","view_count":45,"bookmark_count":0,"created_at":1761178349000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981058019250360595","full_text":"Hmm. Intuitively this approach seems correct, especially in highly subjective arenas like art. \n\nIt does make me wonder, how would you measure the effectiveness of a given search pipeline?\n\nOf the top of my head it could be metrics around how many queries a user must make to find their desired result, and which indexes played the vital role in locating it.","in_reply_to_user_id_str":"825766640","in_reply_to_status_id_str":"1981058019250360595","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,95],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1459767830623178755","name":"PaweÅ Huryn","screen_name":"PawelHuryn","indices":[0,11]},{"id_str":"33836629","name":"Andrej Karpathy","screen_name":"karpathy","indices":[12,21]}]},"favorited":false,"in_reply_to_screen_name":"PawelHuryn","lang":"en","retweeted":false,"fact_check":null,"id":"1981148917694943608","view_count":1465,"bookmark_count":0,"created_at":1761177684000,"favorite_count":4,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981036301060096371","full_text":"@PawelHuryn @karpathy Love when people actually work with data instead of broad generalizations","in_reply_to_user_id_str":"1459767830623178755","in_reply_to_status_id_str":"1981036301060096371","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":0,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"calendly.com/ryan-vunda/15mā¦","expanded_url":"https://calendly.com/ryan-vunda/15min","url":"https://t.co/6THNKguOUX","indices":[601,624]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981533637326913989","view_count":60,"bookmark_count":0,"created_at":1761269408000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981533637326913989","full_text":"Iāve been heads down the last few weeks building and refining Social Inbox, and itās reminded me of something Iād forgotten:\n\nThe biggest breakthroughs rarely come from inspiration. 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Even with careful preparation, the model still fails to correctly classify more than 80 percent of actual labeled errors.\n\nA few percent of overfit recall here, a small generalization gap there, and suddenly your CI isnāt filtering what you think it is.\n\nTreat them like classifiers: versioned, measured, and tuned against held-out data.\n\nThatās how you keep agents honest in production.\n\n@HamelHusain @sh_reya","in_reply_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":[14,34],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1528595257230667782","name":"jonathan liu","screen_name":"jonathanzliu","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"jonathanzliu","lang":"en","retweeted":false,"fact_check":null,"id":"1980330131437813781","view_count":87,"bookmark_count":0,"created_at":1760982470000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980320814546489598","full_text":"@jonathanzliu We'll get you there.","in_reply_to_user_id_str":"1528595257230667782","in_reply_to_status_id_str":"1980320814546489598","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-22","value":0,"startTime":1761004800000,"endTime":1761091200000,"tweets":[{"bookmarked":false,"display_text_range":[10,38],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1980698014454018153","view_count":14,"bookmark_count":0,"created_at":1761070180000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980667660313711092","full_text":"@garrytan I'm biased, but would agree!","in_reply_to_user_id_str":"11768582","in_reply_to_status_id_str":"1980667660313711092","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-23","value":3,"startTime":1761091200000,"endTime":1761177600000,"tweets":[{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2286218053","name":"Shreya Shankar","screen_name":"sh_reya","indices":[1030,1038]},{"id_str":"825766640","name":"Hamel Husain","screen_name":"HamelHusain","indices":[1039,1051]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1980790819675336728","view_count":37,"bookmark_count":0,"created_at":1761092307000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980790819675336728","full_text":"PSA: Stop wasting money running your CI agent evaluators on every commit.\n\nIf your LLM agentās behavior hasnāt changed, your eval results wonāt either. Despite that, I still see teams run it every time there's a new commit on a branch! It's a waste of money, sure, but more importantly with multiple judges it can dramatically slow your time to deploy per PR, driving velocity down. \n\nHereās the fix:\n\n1. Identify the files that actually define agent behavior, your prompt templates, chain logic, and config files.\n2. Update your GitHub CI workflow to only run evals when those files change.\n3. Keep everything else (like docs or small refactors) from triggering expensive eval runs.\n\nIn GitHub Actions, you can do it easily:\non:\n push:\n paths:\n - 'src/agent/**'\n - 'prompts/**'\n - 'config/**'\n\nYour deployment speed (and your wallet) will thank you!\n\n(the only caveat to this is if your confidence interval for your evaluators is wide, in which case ignore CI until you've bootstrapped your trace collection)\n\n@sh_reya @HamelHusain","in_reply_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":"1981146115782406648","view_count":93,"bookmark_count":1,"created_at":1761177016000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981146115782406648","full_text":"I recently worked with an exceptional Indian engineer, and during lunch one day the conversation turned to work and our attitudes towards it. We had often pulled 11-12 hours days together and I was curious what drove him.\n\nHe mentioned a concept that Iād never heard articulated before, āWork is worshipā.\n\nI was intrigued and asked him to elaborate. He explained that in Hinduism often one develops an affinity or relationship with one specific god, and his was Ganesha, god of wisdom and remover of obstacles. To him, and many others, work was a form of connection and celebration of the divine.\n\nItās still sitting with me days later. To many, work is an uncomfortable and unpleasant fact of life, something to be ābalancedā with the real living that takes place outside the confines of the workday. To him, there was no distinction between work and life, they were one and the same. The carrying out of one was the celebration of the other.\n\nPut another way, everything matters. There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? The interesting thing is when examining my recent experiences more closely, it doesnāt seem to correlate with those people being good at their job (though it often does). The common thread seemed to be the willingness to do the work and learn enthusiastically. Thatās the sacrament.\n\nIām not Hindu, and never will be. Despite that, his faith triggered me to re-examine my own philosophy towards work. Forget about outcomes and rewards ā that comes after work, but isnāt the thing itself. Work is a process of pure creation, a rejection of nihilism, disorder and despair. 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Intuitively this approach seems correct, especially in highly subjective arenas like art. \n\nIt does make me wonder, how would you measure the effectiveness of a given search pipeline?\n\nOf the top of my head it could be metrics around how many queries a user must make to find their desired result, and which indexes played the vital role in locating it.","in_reply_to_user_id_str":"825766640","in_reply_to_status_id_str":"1981058019250360595","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,95],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1459767830623178755","name":"PaweÅ Huryn","screen_name":"PawelHuryn","indices":[0,11]},{"id_str":"33836629","name":"Andrej Karpathy","screen_name":"karpathy","indices":[12,21]}]},"favorited":false,"in_reply_to_screen_name":"PawelHuryn","lang":"en","retweeted":false,"fact_check":null,"id":"1981148917694943608","view_count":1465,"bookmark_count":0,"created_at":1761177684000,"favorite_count":4,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981036301060096371","full_text":"@PawelHuryn @karpathy Love when people actually work with data instead of broad generalizations","in_reply_to_user_id_str":"1459767830623178755","in_reply_to_status_id_str":"1981036301060096371","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":0,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"calendly.com/ryan-vunda/15mā¦","expanded_url":"https://calendly.com/ryan-vunda/15min","url":"https://t.co/6THNKguOUX","indices":[601,624]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981533637326913989","view_count":60,"bookmark_count":0,"created_at":1761269408000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981533637326913989","full_text":"Iāve been heads down the last few weeks building and refining Social Inbox, and itās reminded me of something Iād forgotten:\n\nThe biggest breakthroughs rarely come from inspiration. They come from iteration.\n\nI thought I was building a small productivity hack for myselfā¦ but watching how other creators and sellers were using it totally changed my perspective.\n\nSo Iāve rebuilt a few things, rethought the experience, and now weāre almost ready to open it up again.\n\nLaunching mid-next week.\nIf you want to see how it works (and maybe join the next cohort of early users), DM me or grab a time here: 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agent works in demos but breaks in production.\n\nI spent 20 hours manually annotating 207 traces to find the patterns.\n\nThen I ran LangSmith's Insights Agent on the same data to see if automation could match expert analysis.\n\nHere's the head-to-head comparison š§µ\n@hwchase17 @sh_reya @HamelHusain @WHinthorn 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Keep everything else (like docs or small refactors) from triggering expensive eval runs.\n\nIn GitHub Actions, you can do it easily:\non:\n push:\n paths:\n - 'src/agent/**'\n - 'prompts/**'\n - 'config/**'\n\nYour deployment speed (and your wallet) will thank you!\n\n(the only caveat to this is if your confidence interval for your evaluators is wide, in which case ignore CI until you've bootstrapped your trace collection)\n\n@sh_reya @HamelHusain","in_reply_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":"1981146115782406648","view_count":93,"bookmark_count":1,"created_at":1761177016000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981146115782406648","full_text":"I recently worked with an exceptional Indian engineer, and during lunch one day the conversation turned to work and our attitudes towards it. We had often pulled 11-12 hours days together and I was curious what drove him.\n\nHe mentioned a concept that Iād never heard articulated before, āWork is worshipā.\n\nI was intrigued and asked him to elaborate. He explained that in Hinduism often one develops an affinity or relationship with one specific god, and his was Ganesha, god of wisdom and remover of obstacles. To him, and many others, work was a form of connection and celebration of the divine.\n\nItās still sitting with me days later. To many, work is an uncomfortable and unpleasant fact of life, something to be ābalancedā with the real living that takes place outside the confines of the workday. To him, there was no distinction between work and life, they were one and the same. The carrying out of one was the celebration of the other.\n\nPut another way, everything matters. There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? The interesting thing is when examining my recent experiences more closely, it doesnāt seem to correlate with those people being good at their job (though it often does). The common thread seemed to be the willingness to do the work and learn enthusiastically. Thatās the sacrament.\n\nIām not Hindu, and never will be. Despite that, his faith triggered me to re-examine my own philosophy towards work. Forget about outcomes and rewards ā that comes after work, but isnāt the thing itself. Work is a process of pure creation, a rejection of nihilism, disorder and despair. 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Intuitively this approach seems correct, especially in highly subjective arenas like art. \n\nIt does make me wonder, how would you measure the effectiveness of a given search pipeline?\n\nOf the top of my head it could be metrics around how many queries a user must make to find their desired result, and which indexes played the vital role in locating it.","in_reply_to_user_id_str":"825766640","in_reply_to_status_id_str":"1981058019250360595","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,95],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1459767830623178755","name":"PaweÅ Huryn","screen_name":"PawelHuryn","indices":[0,11]},{"id_str":"33836629","name":"Andrej Karpathy","screen_name":"karpathy","indices":[12,21]}]},"favorited":false,"in_reply_to_screen_name":"PawelHuryn","lang":"en","retweeted":false,"fact_check":null,"id":"1981148917694943608","view_count":1465,"bookmark_count":0,"created_at":1761177684000,"favorite_count":4,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981036301060096371","full_text":"@PawelHuryn @karpathy Love when people actually work with data instead of broad generalizations","in_reply_to_user_id_str":"1459767830623178755","in_reply_to_status_id_str":"1981036301060096371","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":60,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"calendly.com/ryan-vunda/15mā¦","expanded_url":"https://calendly.com/ryan-vunda/15min","url":"https://t.co/6THNKguOUX","indices":[601,624]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981533637326913989","view_count":60,"bookmark_count":0,"created_at":1761269408000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981533637326913989","full_text":"Iāve been heads down the last few weeks building and refining Social Inbox, and itās reminded me of something Iād forgotten:\n\nThe biggest breakthroughs rarely come from inspiration. They come from iteration.\n\nI thought I was building a small productivity hack for myselfā¦ but watching how other creators and sellers were using it totally changed my perspective.\n\nSo Iāve rebuilt a few things, rethought the experience, and now weāre almost ready to open it up again.\n\nLaunching mid-next week.\nIf you want to see how it works (and maybe join the next cohort of early users), DM me or grab a time here: 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speedup.","in_reply_to_user_id_str":"1751810001751183361","in_reply_to_status_id_str":"1983662836896448756","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-31","value":72,"startTime":1761782400000,"endTime":1761868800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"anthropic.com/research/introā¦","expanded_url":"http://anthropic.com/research/introspection","url":"https://t.co/fQNLEg3S95","indices":[978,1001]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984004096920375666","view_count":49,"bookmark_count":1,"created_at":1761858412000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1984004096920375666","full_text":"Major shift in AI transparency just published by Anthropic yesterday:\n\nAI models can now detect their own internal thoughts BEFORE 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They embrace continuous learning and adaptability while championing diversity and allyship.","facts":"Fun fact: Flick not only builds bots and open-source projects but also personally operates an inscription machine and contributes updates to blockchain dev tools, showing their hands-on commitment to innovation!","strength":"Exceptional technical creativity combined with a genuine eagerness to share knowledge and develop practical, usable tools that benefit niche tech communities.","weakness":"Their highly technical and specialized focus might limit wider audience appeal, and their prolific tweeting volume (over 28,000 tweets!) can make it tough for key messages to stand out.","recommendation":"Flick should leverage X threads to create digestible, step-by-step walkthroughs of their projects and share use cases that highlight real-world benefits, helping broaden appeal beyond core developers. 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This is a big mistake! Look at the numbers below and see for yourself. Even with careful preparation, the model still fails to correctly classify more than 80 percent of actual labeled errors.\n\nA few percent of overfit recall here, a small generalization gap there, and suddenly your CI isnāt filtering what you think it is.\n\nTreat them like classifiers: versioned, measured, and tuned against held-out data.\n\nThatās how you keep agents honest in production.\n\n@HamelHusain @sh_reya","in_reply_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":[14,34],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1528595257230667782","name":"jonathan liu","screen_name":"jonathanzliu","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"jonathanzliu","lang":"en","retweeted":false,"fact_check":null,"id":"1980330131437813781","view_count":87,"bookmark_count":0,"created_at":1760982470000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980320814546489598","full_text":"@jonathanzliu We'll get you there.","in_reply_to_user_id_str":"1528595257230667782","in_reply_to_status_id_str":"1980320814546489598","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-22","value":0,"startTime":1761004800000,"endTime":1761091200000,"tweets":[{"bookmarked":false,"display_text_range":[10,38],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1980698014454018153","view_count":14,"bookmark_count":0,"created_at":1761070180000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980667660313711092","full_text":"@garrytan I'm biased, but would agree!","in_reply_to_user_id_str":"11768582","in_reply_to_status_id_str":"1980667660313711092","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-23","value":0,"startTime":1761091200000,"endTime":1761177600000,"tweets":[{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2286218053","name":"Shreya Shankar","screen_name":"sh_reya","indices":[1030,1038]},{"id_str":"825766640","name":"Hamel Husain","screen_name":"HamelHusain","indices":[1039,1051]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1980790819675336728","view_count":37,"bookmark_count":0,"created_at":1761092307000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1980790819675336728","full_text":"PSA: Stop wasting money running your CI agent evaluators on every commit.\n\nIf your LLM agentās behavior hasnāt changed, your eval results wonāt either. Despite that, I still see teams run it every time there's a new commit on a branch! It's a waste of money, sure, but more importantly with multiple judges it can dramatically slow your time to deploy per PR, driving velocity down. \n\nHereās the fix:\n\n1. Identify the files that actually define agent behavior, your prompt templates, chain logic, and config files.\n2. Update your GitHub CI workflow to only run evals when those files change.\n3. Keep everything else (like docs or small refactors) from triggering expensive eval runs.\n\nIn GitHub Actions, you can do it easily:\non:\n push:\n paths:\n - 'src/agent/**'\n - 'prompts/**'\n - 'config/**'\n\nYour deployment speed (and your wallet) will thank you!\n\n(the only caveat to this is if your confidence interval for your evaluators is wide, in which case ignore CI until you've bootstrapped your trace collection)\n\n@sh_reya @HamelHusain","in_reply_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":"1981146115782406648","view_count":93,"bookmark_count":1,"created_at":1761177016000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981146115782406648","full_text":"I recently worked with an exceptional Indian engineer, and during lunch one day the conversation turned to work and our attitudes towards it. We had often pulled 11-12 hours days together and I was curious what drove him.\n\nHe mentioned a concept that Iād never heard articulated before, āWork is worshipā.\n\nI was intrigued and asked him to elaborate. He explained that in Hinduism often one develops an affinity or relationship with one specific god, and his was Ganesha, god of wisdom and remover of obstacles. To him, and many others, work was a form of connection and celebration of the divine.\n\nItās still sitting with me days later. To many, work is an uncomfortable and unpleasant fact of life, something to be ābalancedā with the real living that takes place outside the confines of the workday. To him, there was no distinction between work and life, they were one and the same. The carrying out of one was the celebration of the other.\n\nPut another way, everything matters. There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? The interesting thing is when examining my recent experiences more closely, it doesnāt seem to correlate with those people being good at their job (though it often does). The common thread seemed to be the willingness to do the work and learn enthusiastically. Thatās the sacrament.\n\nIām not Hindu, and never will be. Despite that, his faith triggered me to re-examine my own philosophy towards work. Forget about outcomes and rewards ā that comes after work, but isnāt the thing itself. Work is a process of pure creation, a rejection of nihilism, disorder and despair. 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Intuitively this approach seems correct, especially in highly subjective arenas like art. \n\nIt does make me wonder, how would you measure the effectiveness of a given search pipeline?\n\nOf the top of my head it could be metrics around how many queries a user must make to find their desired result, and which indexes played the vital role in locating it.","in_reply_to_user_id_str":"825766640","in_reply_to_status_id_str":"1981058019250360595","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,95],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1459767830623178755","name":"PaweÅ Huryn","screen_name":"PawelHuryn","indices":[0,11]},{"id_str":"33836629","name":"Andrej Karpathy","screen_name":"karpathy","indices":[12,21]}]},"favorited":false,"in_reply_to_screen_name":"PawelHuryn","lang":"en","retweeted":false,"fact_check":null,"id":"1981148917694943608","view_count":1465,"bookmark_count":0,"created_at":1761177684000,"favorite_count":4,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981036301060096371","full_text":"@PawelHuryn @karpathy Love when people actually work with data instead of broad generalizations","in_reply_to_user_id_str":"1459767830623178755","in_reply_to_status_id_str":"1981036301060096371","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":0,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"calendly.com/ryan-vunda/15mā¦","expanded_url":"https://calendly.com/ryan-vunda/15min","url":"https://t.co/6THNKguOUX","indices":[601,624]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981533637326913989","view_count":60,"bookmark_count":0,"created_at":1761269408000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981533637326913989","full_text":"Iāve been heads down the last few weeks building and refining Social Inbox, and itās reminded me of something Iād forgotten:\n\nThe biggest breakthroughs rarely come from inspiration. They come from iteration.\n\nI thought I was building a small productivity hack for myselfā¦ but watching how other creators and sellers were using it totally changed my perspective.\n\nSo Iāve rebuilt a few things, rethought the experience, and now weāre almost ready to open it up again.\n\nLaunching mid-next week.\nIf you want to see how it works (and maybe join the next cohort of early users), DM me or grab a time here: 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agent works in demos but breaks in production.\n\nI spent 20 hours manually annotating 207 traces to find the patterns.\n\nThen I ran LangSmith's Insights Agent on the same data to see if automation could match expert analysis.\n\nHere's the head-to-head comparison š§µ\n@hwchase17 @sh_reya @HamelHusain @WHinthorn 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Keep everything else (like docs or small refactors) from triggering expensive eval runs.\n\nIn GitHub Actions, you can do it easily:\non:\n push:\n paths:\n - 'src/agent/**'\n - 'prompts/**'\n - 'config/**'\n\nYour deployment speed (and your wallet) will thank you!\n\n(the only caveat to this is if your confidence interval for your evaluators is wide, in which case ignore CI until you've bootstrapped your trace collection)\n\n@sh_reya @HamelHusain","in_reply_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":"1981146115782406648","view_count":93,"bookmark_count":1,"created_at":1761177016000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981146115782406648","full_text":"I recently worked with an exceptional Indian engineer, and during lunch one day the conversation turned to work and our attitudes towards it. We had often pulled 11-12 hours days together and I was curious what drove him.\n\nHe mentioned a concept that Iād never heard articulated before, āWork is worshipā.\n\nI was intrigued and asked him to elaborate. He explained that in Hinduism often one develops an affinity or relationship with one specific god, and his was Ganesha, god of wisdom and remover of obstacles. To him, and many others, work was a form of connection and celebration of the divine.\n\nItās still sitting with me days later. To many, work is an uncomfortable and unpleasant fact of life, something to be ābalancedā with the real living that takes place outside the confines of the workday. To him, there was no distinction between work and life, they were one and the same. The carrying out of one was the celebration of the other.\n\nPut another way, everything matters. There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? The interesting thing is when examining my recent experiences more closely, it doesnāt seem to correlate with those people being good at their job (though it often does). The common thread seemed to be the willingness to do the work and learn enthusiastically. Thatās the sacrament.\n\nIām not Hindu, and never will be. Despite that, his faith triggered me to re-examine my own philosophy towards work. Forget about outcomes and rewards ā that comes after work, but isnāt the thing itself. Work is a process of pure creation, a rejection of nihilism, disorder and despair. 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Intuitively this approach seems correct, especially in highly subjective arenas like art. \n\nIt does make me wonder, how would you measure the effectiveness of a given search pipeline?\n\nOf the top of my head it could be metrics around how many queries a user must make to find their desired result, and which indexes played the vital role in locating it.","in_reply_to_user_id_str":"825766640","in_reply_to_status_id_str":"1981058019250360595","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,95],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1459767830623178755","name":"PaweÅ Huryn","screen_name":"PawelHuryn","indices":[0,11]},{"id_str":"33836629","name":"Andrej Karpathy","screen_name":"karpathy","indices":[12,21]}]},"favorited":false,"in_reply_to_screen_name":"PawelHuryn","lang":"en","retweeted":false,"fact_check":null,"id":"1981148917694943608","view_count":1465,"bookmark_count":0,"created_at":1761177684000,"favorite_count":4,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981036301060096371","full_text":"@PawelHuryn @karpathy Love when people actually work with data instead of broad generalizations","in_reply_to_user_id_str":"1459767830623178755","in_reply_to_status_id_str":"1981036301060096371","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":0,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"calendly.com/ryan-vunda/15mā¦","expanded_url":"https://calendly.com/ryan-vunda/15min","url":"https://t.co/6THNKguOUX","indices":[601,624]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981533637326913989","view_count":60,"bookmark_count":0,"created_at":1761269408000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981533637326913989","full_text":"Iāve been heads down the last few weeks building and refining Social Inbox, and itās reminded me of something Iād forgotten:\n\nThe biggest breakthroughs rarely come from inspiration. They come from iteration.\n\nI thought I was building a small productivity hack for myselfā¦ but watching how other creators and sellers were using it totally changed my perspective.\n\nSo Iāve rebuilt a few things, rethought the experience, and now weāre almost ready to open it up again.\n\nLaunching mid-next week.\nIf you want to see how it works (and maybe join the next cohort of early users), DM me or grab a time here: 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Keep everything else (like docs or small refactors) from triggering expensive eval runs.\n\nIn GitHub Actions, you can do it easily:\non:\n push:\n paths:\n - 'src/agent/**'\n - 'prompts/**'\n - 'config/**'\n\nYour deployment speed (and your wallet) will thank you!\n\n(the only caveat to this is if your confidence interval for your evaluators is wide, in which case ignore CI until you've bootstrapped your trace collection)\n\n@sh_reya @HamelHusain","in_reply_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":"1981146115782406648","view_count":93,"bookmark_count":1,"created_at":1761177016000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981146115782406648","full_text":"I recently worked with an exceptional Indian engineer, and during lunch one day the conversation turned to work and our attitudes towards it. We had often pulled 11-12 hours days together and I was curious what drove him.\n\nHe mentioned a concept that Iād never heard articulated before, āWork is worshipā.\n\nI was intrigued and asked him to elaborate. He explained that in Hinduism often one develops an affinity or relationship with one specific god, and his was Ganesha, god of wisdom and remover of obstacles. To him, and many others, work was a form of connection and celebration of the divine.\n\nItās still sitting with me days later. To many, work is an uncomfortable and unpleasant fact of life, something to be ābalancedā with the real living that takes place outside the confines of the workday. To him, there was no distinction between work and life, they were one and the same. The carrying out of one was the celebration of the other.\n\nPut another way, everything matters. There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? The interesting thing is when examining my recent experiences more closely, it doesnāt seem to correlate with those people being good at their job (though it often does). The common thread seemed to be the willingness to do the work and learn enthusiastically. Thatās the sacrament.\n\nIām not Hindu, and never will be. Despite that, his faith triggered me to re-examine my own philosophy towards work. Forget about outcomes and rewards ā that comes after work, but isnāt the thing itself. Work is a process of pure creation, a rejection of nihilism, disorder and despair. 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Intuitively this approach seems correct, especially in highly subjective arenas like art. \n\nIt does make me wonder, how would you measure the effectiveness of a given search pipeline?\n\nOf the top of my head it could be metrics around how many queries a user must make to find their desired result, and which indexes played the vital role in locating it.","in_reply_to_user_id_str":"825766640","in_reply_to_status_id_str":"1981058019250360595","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,95],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1459767830623178755","name":"PaweÅ Huryn","screen_name":"PawelHuryn","indices":[0,11]},{"id_str":"33836629","name":"Andrej Karpathy","screen_name":"karpathy","indices":[12,21]}]},"favorited":false,"in_reply_to_screen_name":"PawelHuryn","lang":"en","retweeted":false,"fact_check":null,"id":"1981148917694943608","view_count":1465,"bookmark_count":0,"created_at":1761177684000,"favorite_count":4,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981036301060096371","full_text":"@PawelHuryn @karpathy Love when people actually work with data instead of broad generalizations","in_reply_to_user_id_str":"1459767830623178755","in_reply_to_status_id_str":"1981036301060096371","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":0,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"calendly.com/ryan-vunda/15mā¦","expanded_url":"https://calendly.com/ryan-vunda/15min","url":"https://t.co/6THNKguOUX","indices":[601,624]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981533637326913989","view_count":60,"bookmark_count":0,"created_at":1761269408000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981533637326913989","full_text":"Iāve been heads down the last few weeks building and refining Social Inbox, and itās reminded me of something Iād forgotten:\n\nThe biggest breakthroughs rarely come from inspiration. They come from iteration.\n\nI thought I was building a small productivity hack for myselfā¦ but watching how other creators and sellers were using it totally changed my perspective.\n\nSo Iāve rebuilt a few things, rethought the experience, and now weāre almost ready to open it up again.\n\nLaunching mid-next week.\nIf you want to see how it works (and maybe join the next cohort of early users), DM me or grab a time here: 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Keep everything else (like docs or small refactors) from triggering expensive eval runs.\n\nIn GitHub Actions, you can do it easily:\non:\n push:\n paths:\n - 'src/agent/**'\n - 'prompts/**'\n - 'config/**'\n\nYour deployment speed (and your wallet) will thank you!\n\n(the only caveat to this is if your confidence interval for your evaluators is wide, in which case ignore CI until you've bootstrapped your trace collection)\n\n@sh_reya @HamelHusain","in_reply_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":"1981146115782406648","view_count":93,"bookmark_count":1,"created_at":1761177016000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981146115782406648","full_text":"I recently worked with an exceptional Indian engineer, and during lunch one day the conversation turned to work and our attitudes towards it. We had often pulled 11-12 hours days together and I was curious what drove him.\n\nHe mentioned a concept that Iād never heard articulated before, āWork is worshipā.\n\nI was intrigued and asked him to elaborate. He explained that in Hinduism often one develops an affinity or relationship with one specific god, and his was Ganesha, god of wisdom and remover of obstacles. To him, and many others, work was a form of connection and celebration of the divine.\n\nItās still sitting with me days later. To many, work is an uncomfortable and unpleasant fact of life, something to be ābalancedā with the real living that takes place outside the confines of the workday. To him, there was no distinction between work and life, they were one and the same. The carrying out of one was the celebration of the other.\n\nPut another way, everything matters. There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? The interesting thing is when examining my recent experiences more closely, it doesnāt seem to correlate with those people being good at their job (though it often does). The common thread seemed to be the willingness to do the work and learn enthusiastically. Thatās the sacrament.\n\nIām not Hindu, and never will be. Despite that, his faith triggered me to re-examine my own philosophy towards work. Forget about outcomes and rewards ā that comes after work, but isnāt the thing itself. Work is a process of pure creation, a rejection of nihilism, disorder and despair. 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Intuitively this approach seems correct, especially in highly subjective arenas like art. \n\nIt does make me wonder, how would you measure the effectiveness of a given search pipeline?\n\nOf the top of my head it could be metrics around how many queries a user must make to find their desired result, and which indexes played the vital role in locating it.","in_reply_to_user_id_str":"825766640","in_reply_to_status_id_str":"1981058019250360595","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,95],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1459767830623178755","name":"PaweÅ Huryn","screen_name":"PawelHuryn","indices":[0,11]},{"id_str":"33836629","name":"Andrej Karpathy","screen_name":"karpathy","indices":[12,21]}]},"favorited":false,"in_reply_to_screen_name":"PawelHuryn","lang":"en","retweeted":false,"fact_check":null,"id":"1981148917694943608","view_count":1465,"bookmark_count":0,"created_at":1761177684000,"favorite_count":4,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981036301060096371","full_text":"@PawelHuryn @karpathy Love when people actually work with data instead of broad generalizations","in_reply_to_user_id_str":"1459767830623178755","in_reply_to_status_id_str":"1981036301060096371","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":0,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"calendly.com/ryan-vunda/15mā¦","expanded_url":"https://calendly.com/ryan-vunda/15min","url":"https://t.co/6THNKguOUX","indices":[601,624]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981533637326913989","view_count":60,"bookmark_count":0,"created_at":1761269408000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981533637326913989","full_text":"Iāve been heads down the last few weeks building and refining Social Inbox, and itās reminded me of something Iād forgotten:\n\nThe biggest breakthroughs rarely come from inspiration. They come from iteration.\n\nI thought I was building a small productivity hack for myselfā¦ but watching how other creators and sellers were using it totally changed my perspective.\n\nSo Iāve rebuilt a few things, rethought the experience, and now weāre almost ready to open it up again.\n\nLaunching mid-next week.\nIf you want to see how it works (and maybe join the next cohort of early users), DM me or grab a time here: 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Keep everything else (like docs or small refactors) from triggering expensive eval runs.\n\nIn GitHub Actions, you can do it easily:\non:\n push:\n paths:\n - 'src/agent/**'\n - 'prompts/**'\n - 'config/**'\n\nYour deployment speed (and your wallet) will thank you!\n\n(the only caveat to this is if your confidence interval for your evaluators is wide, in which case ignore CI until you've bootstrapped your trace collection)\n\n@sh_reya @HamelHusain","in_reply_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":"1981146115782406648","view_count":93,"bookmark_count":1,"created_at":1761177016000,"favorite_count":3,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981146115782406648","full_text":"I recently worked with an exceptional Indian engineer, and during lunch one day the conversation turned to work and our attitudes towards it. We had often pulled 11-12 hours days together and I was curious what drove him.\n\nHe mentioned a concept that Iād never heard articulated before, āWork is worshipā.\n\nI was intrigued and asked him to elaborate. He explained that in Hinduism often one develops an affinity or relationship with one specific god, and his was Ganesha, god of wisdom and remover of obstacles. To him, and many others, work was a form of connection and celebration of the divine.\n\nItās still sitting with me days later. To many, work is an uncomfortable and unpleasant fact of life, something to be ābalancedā with the real living that takes place outside the confines of the workday. To him, there was no distinction between work and life, they were one and the same. The carrying out of one was the celebration of the other.\n\nPut another way, everything matters. There is no line between work and life, and how you do anything affects how you do everything, bleeding together in a spiraling cascade of cause and effect, devotion and beauty, anarchy and chaos.\n\nYou are either worshipping, or you arenāt.\n\nIāve often felt that work was where I felt most alive, most connected, and most purposeful. My most cherished memories include late nights with people I trusted and respected, working together to create something where before there had been nothing.\n\nIām also struck by my experiences meeting many employees and founders from all walks of life, and the different ways they held themselves. The ones who took their work seriously (be it the teller at the movie theatre, the mechanic at the car shop, the AI researcher creating frontier models) seemed more at ease in their own skin. At the time, if pressed I would have labeled it a sense of self respect, but who's to say it isnāt something much deeper? The interesting thing is when examining my recent experiences more closely, it doesnāt seem to correlate with those people being good at their job (though it often does). The common thread seemed to be the willingness to do the work and learn enthusiastically. Thatās the sacrament.\n\nIām not Hindu, and never will be. Despite that, his faith triggered me to re-examine my own philosophy towards work. Forget about outcomes and rewards ā that comes after work, but isnāt the thing itself. Work is a process of pure creation, a rejection of nihilism, disorder and despair. 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Intuitively this approach seems correct, especially in highly subjective arenas like art. \n\nIt does make me wonder, how would you measure the effectiveness of a given search pipeline?\n\nOf the top of my head it could be metrics around how many queries a user must make to find their desired result, and which indexes played the vital role in locating it.","in_reply_to_user_id_str":"825766640","in_reply_to_status_id_str":"1981058019250360595","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,95],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1459767830623178755","name":"PaweÅ Huryn","screen_name":"PawelHuryn","indices":[0,11]},{"id_str":"33836629","name":"Andrej Karpathy","screen_name":"karpathy","indices":[12,21]}]},"favorited":false,"in_reply_to_screen_name":"PawelHuryn","lang":"en","retweeted":false,"fact_check":null,"id":"1981148917694943608","view_count":1465,"bookmark_count":0,"created_at":1761177684000,"favorite_count":4,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981036301060096371","full_text":"@PawelHuryn @karpathy Love when people actually work with data instead of broad generalizations","in_reply_to_user_id_str":"1459767830623178755","in_reply_to_status_id_str":"1981036301060096371","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-25","value":60,"startTime":1761264000000,"endTime":1761350400000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"calendly.com/ryan-vunda/15mā¦","expanded_url":"https://calendly.com/ryan-vunda/15min","url":"https://t.co/6THNKguOUX","indices":[601,624]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1981533637326913989","view_count":60,"bookmark_count":0,"created_at":1761269408000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1981533637326913989","full_text":"Iāve been heads down the last few weeks building and refining Social Inbox, and itās reminded me of something Iād forgotten:\n\nThe biggest breakthroughs rarely come from inspiration. They come from iteration.\n\nI thought I was building a small productivity hack for myselfā¦ but watching how other creators and sellers were using it totally changed my perspective.\n\nSo Iāve rebuilt a few things, rethought the experience, and now weāre almost ready to open it up again.\n\nLaunching mid-next week.\nIf you want to see how it works (and maybe join the next cohort of early users), DM me or grab a time here: 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speedup.","in_reply_to_user_id_str":"1751810001751183361","in_reply_to_status_id_str":"1983662836896448756","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-31","value":72,"startTime":1761782400000,"endTime":1761868800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"anthropic.com/research/introā¦","expanded_url":"http://anthropic.com/research/introspection","url":"https://t.co/fQNLEg3S95","indices":[978,1001]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984004096920375666","view_count":49,"bookmark_count":1,"created_at":1761858412000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"897875988222271488","conversation_id_str":"1984004096920375666","full_text":"Major shift in AI transparency just published by Anthropic yesterday:\n\nAI models can now detect their own internal thoughts BEFORE 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