Lee Penkman is a data-driven AI enthusiast who lives and breathes technological intricacies and mathematical fundamentals. Balancing his digital passion with his roles as husband and father, he shares deep insights into AI and coding while building a community of like-minded thinkers. His content dives beneath the surface, unpacking the complex layers of tech with humor and sincerity.
Lee's tweets go so deep into mathematical rabbit holes, even Alice would've gotten dizzy trying to keep up—but hey, at least he’s got enough coding speed rage tweets to power a supercomputer meltdown.
Successfully building a vibrant niche community passionate about the mathematical and algorithmic foundations of AI, as evidenced by highly engaged tweets with thousands of likes and lively discussions.
Lee's life purpose is to demystify artificial intelligence and foundational tech concepts, creating bridges between cutting-edge research and everyday understanding. Through thoughtful analysis and community-building, he aims to foster knowledge-sharing and inspire others to explore the mathematical and algorithmic heart of AI.
Lee values precision, intellectual rigor, and continuous learning. He believes that true understanding comes from peeling back layers of complexity, and that collaborative exploration accelerates innovation. He champions transparency in tech and is committed to making advanced concepts accessible without dumbing them down.
His analytical mind enables him to break down complex AI and mathematical topics into engaging, digestible content. Lee’s persistent tweeting habit and passion create a solid foundation for building a knowledgeable, specialized audience. His blend of humor and technical insight keeps followers both entertained and informed.
Occasionally, Lee’s deep dive into niche subjects might alienate casual followers who aren’t as technically inclined, and his rapid-fire tweeting could lead to information overload. His passion for precision sometimes clashes with the fast-paced, attention-scarce environment of social media.
To grow his audience on X, Lee should sprinkle in some approachable, bite-sized explainer tweets or threads that welcome newcomers without sacrificing depth. Engaging more in conversations with diverse tech communities and leveraging visuals or short videos could widen his reach while maintaining his authoritative voice.
Lee has tweeted nearly 40,000 times, showcasing his relentless curiosity and dedication to sharing knowledge. He actively seeks friendships with fellow math and science enthusiasts and isn't shy about calling out slow code or algorithms that frustrate him.
brand strategist who thinks your conversion problem is an emotional problem• let’s build a brand people resonate with • Hating on relationship people too😌
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tight.","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979365719000396201","view_count":144,"bookmark_count":0,"created_at":1760752536000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB I have a bit of runway but I would need to make about 60% with this trading bot I'm making every year for me to not run out of money.\n\nNeed two weeks... Going to spend two weeks on it... Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 coloring in polynomical time... we dont know...","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"in","retweeted":false,"fact_check":null,"id":"1979402249341428150","view_count":40,"bookmark_count":0,"created_at":1760761246000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse banger","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,112],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"49676106","name":"alex fazio","screen_name":"alxfazio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"alxfazio","lang":"en","retweeted":false,"fact_check":null,"id":"1979474815464718539","view_count":45211,"bookmark_count":9,"created_at":1760778547000,"favorite_count":1197,"quote_count":0,"reply_count":11,"retweet_count":11,"user_id_str":"520078869","conversation_id_str":"1979471662388257266","full_text":"@alxfazio Ex employee here - i am just chiming in to say that i cant say anything and that yea im an ex employee","in_reply_to_user_id_str":"49676106","in_reply_to_status_id_str":"1979471662388257266","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,295],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"248951926","name":"Ahmad","screen_name":"TheAhmadOsman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"TheAhmadOsman","lang":"en","retweeted":false,"scopes":{"followers":false},"fact_check":null,"id":"1979437923759198684","view_count":112,"bookmark_count":0,"created_at":1760769751000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979408446534398403","full_text":"Wow really blew it away. \n\nI wonder if it's the memory bandwidth like everyone keeps saying is the bottle neck, I wouldn't have thought like if it's just the inference time and you're not timing how long the model gets swapped you would think that memory bandwidth wouldn't really matter for moving some tokens on and off at inference time idk","in_reply_to_user_id_str":"248951926","in_reply_to_status_id_str":"1979408446534398403","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]},{"id_str":"281877818","name":"Noah Smith 🐇","screen_name":"Noahpinion","indices":[10,21]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1979441613173854604","view_count":65,"bookmark_count":0,"created_at":1760770631000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979356361160036760","full_text":"@garrytan @Noahpinion East Coast let's go 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tight.","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979365719000396201","view_count":144,"bookmark_count":0,"created_at":1760752536000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB I have a bit of runway but I would need to make about 60% with this trading bot I'm making every year for me to not run out of money.\n\nNeed two weeks... Going to spend two weeks on it... Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 coloring in polynomical time... we dont know...","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"in","retweeted":false,"fact_check":null,"id":"1979402249341428150","view_count":40,"bookmark_count":0,"created_at":1760761246000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse banger","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,112],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"49676106","name":"alex fazio","screen_name":"alxfazio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"alxfazio","lang":"en","retweeted":false,"fact_check":null,"id":"1979474815464718539","view_count":45211,"bookmark_count":9,"created_at":1760778547000,"favorite_count":1197,"quote_count":0,"reply_count":11,"retweet_count":11,"user_id_str":"520078869","conversation_id_str":"1979471662388257266","full_text":"@alxfazio Ex employee here - i am just chiming in to say that i cant say anything and that yea im an ex employee","in_reply_to_user_id_str":"49676106","in_reply_to_status_id_str":"1979471662388257266","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,295],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"248951926","name":"Ahmad","screen_name":"TheAhmadOsman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"TheAhmadOsman","lang":"en","retweeted":false,"scopes":{"followers":false},"fact_check":null,"id":"1979437923759198684","view_count":112,"bookmark_count":0,"created_at":1760769751000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979408446534398403","full_text":"Wow really blew it away. \n\nI wonder if it's the memory bandwidth like everyone keeps saying is the bottle neck, I wouldn't have thought like if it's just the inference time and you're not timing how long the model gets swapped you would think that memory bandwidth wouldn't really matter for moving some tokens on and off at inference time idk","in_reply_to_user_id_str":"248951926","in_reply_to_status_id_str":"1979408446534398403","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]},{"id_str":"281877818","name":"Noah Smith 🐇","screen_name":"Noahpinion","indices":[10,21]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1979441613173854604","view_count":65,"bookmark_count":0,"created_at":1760770631000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979356361160036760","full_text":"@garrytan @Noahpinion East Coast let's go 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tight.","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979365719000396201","view_count":144,"bookmark_count":0,"created_at":1760752536000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB I have a bit of runway but I would need to make about 60% with this trading bot I'm making every year for me to not run out of money.\n\nNeed two weeks... Going to spend two weeks on it... Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 coloring in polynomical time... we dont know...","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"in","retweeted":false,"fact_check":null,"id":"1979402249341428150","view_count":40,"bookmark_count":0,"created_at":1760761246000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse banger","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,112],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"49676106","name":"alex fazio","screen_name":"alxfazio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"alxfazio","lang":"en","retweeted":false,"fact_check":null,"id":"1979474815464718539","view_count":45211,"bookmark_count":9,"created_at":1760778547000,"favorite_count":1197,"quote_count":0,"reply_count":11,"retweet_count":11,"user_id_str":"520078869","conversation_id_str":"1979471662388257266","full_text":"@alxfazio Ex employee here - i am just chiming in to say that i cant say anything and that yea im an ex employee","in_reply_to_user_id_str":"49676106","in_reply_to_status_id_str":"1979471662388257266","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,295],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"248951926","name":"Ahmad","screen_name":"TheAhmadOsman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"TheAhmadOsman","lang":"en","retweeted":false,"scopes":{"followers":false},"fact_check":null,"id":"1979437923759198684","view_count":112,"bookmark_count":0,"created_at":1760769751000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979408446534398403","full_text":"Wow really blew it away. \n\nI wonder if it's the memory bandwidth like everyone keeps saying is the bottle neck, I wouldn't have thought like if it's just the inference time and you're not timing how long the model gets swapped you would think that memory bandwidth wouldn't really matter for moving some tokens on and off at inference time idk","in_reply_to_user_id_str":"248951926","in_reply_to_status_id_str":"1979408446534398403","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]},{"id_str":"281877818","name":"Noah Smith 🐇","screen_name":"Noahpinion","indices":[10,21]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1979441613173854604","view_count":65,"bookmark_count":0,"created_at":1760770631000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979356361160036760","full_text":"@garrytan @Noahpinion East Coast let's go 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tight.","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979365719000396201","view_count":144,"bookmark_count":0,"created_at":1760752536000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB I have a bit of runway but I would need to make about 60% with this trading bot I'm making every year for me to not run out of money.\n\nNeed two weeks... Going to spend two weeks on it... Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 coloring in polynomical time... we dont know...","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"in","retweeted":false,"fact_check":null,"id":"1979402249341428150","view_count":40,"bookmark_count":0,"created_at":1760761246000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse banger","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,112],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"49676106","name":"alex fazio","screen_name":"alxfazio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"alxfazio","lang":"en","retweeted":false,"fact_check":null,"id":"1979474815464718539","view_count":45211,"bookmark_count":9,"created_at":1760778547000,"favorite_count":1197,"quote_count":0,"reply_count":11,"retweet_count":11,"user_id_str":"520078869","conversation_id_str":"1979471662388257266","full_text":"@alxfazio Ex employee here - i am just chiming in to say that i cant say anything and that yea im an ex employee","in_reply_to_user_id_str":"49676106","in_reply_to_status_id_str":"1979471662388257266","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,295],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"248951926","name":"Ahmad","screen_name":"TheAhmadOsman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"TheAhmadOsman","lang":"en","retweeted":false,"scopes":{"followers":false},"fact_check":null,"id":"1979437923759198684","view_count":112,"bookmark_count":0,"created_at":1760769751000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979408446534398403","full_text":"Wow really blew it away. \n\nI wonder if it's the memory bandwidth like everyone keeps saying is the bottle neck, I wouldn't have thought like if it's just the inference time and you're not timing how long the model gets swapped you would think that memory bandwidth wouldn't really matter for moving some tokens on and off at inference time idk","in_reply_to_user_id_str":"248951926","in_reply_to_status_id_str":"1979408446534398403","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]},{"id_str":"281877818","name":"Noah Smith 🐇","screen_name":"Noahpinion","indices":[10,21]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1979441613173854604","view_count":65,"bookmark_count":0,"created_at":1760770631000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979356361160036760","full_text":"@garrytan @Noahpinion East Coast let's go 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tight.","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979365719000396201","view_count":144,"bookmark_count":0,"created_at":1760752536000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB I have a bit of runway but I would need to make about 60% with this trading bot I'm making every year for me to not run out of money.\n\nNeed two weeks... Going to spend two weeks on it... Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 coloring in polynomical time... we dont know...","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"in","retweeted":false,"fact_check":null,"id":"1979402249341428150","view_count":40,"bookmark_count":0,"created_at":1760761246000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse banger","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,112],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"49676106","name":"alex fazio","screen_name":"alxfazio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"alxfazio","lang":"en","retweeted":false,"fact_check":null,"id":"1979474815464718539","view_count":45211,"bookmark_count":9,"created_at":1760778547000,"favorite_count":1197,"quote_count":0,"reply_count":11,"retweet_count":11,"user_id_str":"520078869","conversation_id_str":"1979471662388257266","full_text":"@alxfazio Ex employee here - i am just chiming in to say that i cant say anything and that yea im an ex employee","in_reply_to_user_id_str":"49676106","in_reply_to_status_id_str":"1979471662388257266","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,295],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"248951926","name":"Ahmad","screen_name":"TheAhmadOsman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"TheAhmadOsman","lang":"en","retweeted":false,"scopes":{"followers":false},"fact_check":null,"id":"1979437923759198684","view_count":112,"bookmark_count":0,"created_at":1760769751000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979408446534398403","full_text":"Wow really blew it away. \n\nI wonder if it's the memory bandwidth like everyone keeps saying is the bottle neck, I wouldn't have thought like if it's just the inference time and you're not timing how long the model gets swapped you would think that memory bandwidth wouldn't really matter for moving some tokens on and off at inference time idk","in_reply_to_user_id_str":"248951926","in_reply_to_status_id_str":"1979408446534398403","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]},{"id_str":"281877818","name":"Noah Smith 🐇","screen_name":"Noahpinion","indices":[10,21]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1979441613173854604","view_count":65,"bookmark_count":0,"created_at":1760770631000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979356361160036760","full_text":"@garrytan @Noahpinion East Coast let's go 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I love futuristic stuff. 💗🌺💗","entities":{"description":{"urls":[]}},"interactions":1},{"created_at":1358706023000,"uid":"1106917932","id":"1106917932","screen_name":"laulau61811205","name":"dreams","friends_count":1169,"followers_count":1210,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1719855140084011008/0QEbNIIO_normal.jpg","description":"the cracks in reality rip open the dream 😜 ⛓️💥 cognitive freedom","entities":{"description":{"urls":[]}},"interactions":1}],"period":14,"start":1762000764180,"end":1763210364180},"interactions_updated":1763210364408,"created":1763210363668,"updated":1763210364408,"type":"the analyst","hits":1},"people":[{"user":{"id":"955455617174355969","name":"GuanYu | Looknode","description":"9年Web3经历，专注#Bitcoin\n\n#投资者行为模型 作者\n#Looknode 联合创始人","followers_count":831,"friends_count":30,"statuses_count":505,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1857979785256873984/9gQYswv5_normal.jpg","screen_name":"realGuanYu","location":"Canada","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"youtube.com/@realGuanYu","expanded_url":"https://www.youtube.com/@realGuanYu","url":"https://t.co/aco5ARG8gj","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"GuanYu | Looknode is a seasoned Web3 analyst with 9 years of experience specializing in Bitcoin and investor behavior modeling. As co-founder of Looknode and author of the Investor Behavior Model, GuanYu deciphers market psychology through data-driven insights, making complex market movements tangible. Their tweets reveal a deep understanding of market cycles and the emotional waves behind investment trends.","purpose":"To illuminate the hidden mechanics of market behavior, empowering investors to make smarter decisions by interpreting on-chain data and emotional cycles with clarity and precision.","beliefs":"They believe markets are not random but mechanistic, driven by crowd psychology that can be decoded and anticipated using data. Patience, discipline, and obeying behavioral rules trump speculation and prediction. They hold that understanding long-term investor actions is key to identifying market bottoms and peaks.","facts":"Fun fact: GuanYu’s Investor Behavior Model is essentially a crowd psychology decoding machine, used to predict market shakeouts by tracking when short-term speculators are completely drained of profits — they literally watch the market ‘suck dry’ these traders before a rebound.","strength":"Exceptional with transforming complex blockchain and investor behavior data into intuitive, actionable insights. They have a strong analytical mind coupled with a pragmatic, rule-based approach to market participation.","weakness":"Tends to dwell in data and analysis, sometimes overcomplicating concepts for casual followers or those new to crypto investing. Can come off as too clinical or detached from emotional nuances some investors experience.","roast":"For someone who claims markets are just machines, GuanYu might want to check their own 'short-term speculator' side—because you’ve been ‘analyzing’ Bitcoin for nearly a decade but still haven’t figured out how to stop obsessing over the drama of the market rollercoaster!","win":"Published the widely respected 'Investor Behavior Model' that effectively quantifies and predicts Bitcoin market cycles, influencing how many retail and institutional investors approach trading strategy.","recommendation":"Focus on weaving storytelling with your data-driven insights to capture not only the analysts but also the casual crypto audience on X. Use eye-catching charts with bite-sized wisdom and engage more with follower questions to build a loyal community who trusts both your expertise and your relatable persona."},"created":1763236706270,"type":"the analyst","id":"realguanyu"},{"user":{"id":"984012361395851265","name":"jain.sats","description":"meme | 链上扒庄 | 链上数据分析 | 前国内大厂产品经理\n\n币安/okx钱包填我邀请码，下方tg联系我进打狗群\n币安钱包https://t.co/Vh9Jcb7ESx\nokx钱包https://t.co/6i3abKEEGM","followers_count":15319,"friends_count":1305,"statuses_count":2344,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1907005336453869568/Yi3O4E1h_normal.jpg","screen_name":"jain_web3","location":"","entities":{"description":{"urls":[{"display_url":"web3.binance.com/referral?ref=L…","expanded_url":"https://web3.binance.com/referral?ref=L1P9VZT5","url":"https://t.co/Vh9Jcb7ESx","indices":[64,87]},{"display_url":"web3.okx.com/join/JAINJAIN","expanded_url":"https://web3.okx.com/join/JAINJAIN","url":"https://t.co/6i3abKEEGM","indices":[93,116]}]},"url":{"urls":[{"display_url":"t.me/jain_web3","expanded_url":"http://t.me/jain_web3","url":"https://t.co/0rEvKGJ5Gu","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"jain.sats is a sharp, data-driven crypto sleuth who digs deep into on-chain whale activity and tokenomics to expose market dynamics. With a background in product management at top Chinese tech firms, they blend humor and hard facts to educate and entertain their audience. Their tweets decode complex data into actionable insights, making blockchain analysis accessible and engaging.","purpose":"To empower the crypto community with transparent, data-backed insights into market behavior, helping followers make smarter investment decisions while staying entertained with witty commentary and memes.","beliefs":"They believe in the power of transparency and data to cut through market noise and hype, valuing honesty, thoroughness, and the communal spirit of shared knowledge. They trust that well-informed traders can outsmart market manipulators and that humor enhances learning and retention.","facts":"Fun fact: Jain.sats doesn't just analyze crypto data — they also masterfully blend memes and blockchain analysis, turning what could be dry chains of data into a community event that’s both educational and fun.","strength":"Exceptional skill in detailed on-chain data analysis combined with a knack for engaging storytelling and meme culture, enabling them to communicate complex blockchain metrics in a relatable way.","weakness":"Sometimes their deep-dive data focus and jargon can overwhelm newbies, and their niche analysis might limit appeal to just serious crypto and blockchain aficionados.","recommendation":"To grow their audience on X, jain.sats should leverage their humor by creating shareable meme threads linked with data insights, engage more with crypto influencers via replies or Twitter Spaces, and simplify complex ideas with short video explainers or visual summaries to attract broader crypto-curious users.","roast":"With more wallet addresses tracked than friends on their following list, jain.sats is basically the Sherlock Holmes of crypto—except instead of a magnifying glass, they wield spreadsheets and an endless supply of memes to keep whales sweating and followers entertained.","win":"Built a highly engaged niche audience by pioneering comprehensive, meme-infused on-chain whale tracking analyses, becoming a go-to voice for transparency and crypto market intelligence within the community."},"created":1763235008146,"type":"the analyst","id":"jain_web3"},{"user":{"id":"1902105777764278272","name":"DeFi Mentalist","description":"Neverland Minister of Finance.\nAnother web3 anon intern.","followers_count":507,"friends_count":563,"statuses_count":5081,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1971605213501853696/-8ewEmSS_normal.jpg","screen_name":"DeFiMentalist","location":"","entities":{"description":{"urls":[]}}},"details":{"type":"The Analyst","description":"DeFi Mentalist navigates the wild world of Web3 with meticulous care and deep insight, dissecting complex DeFi opportunities for his followers. As the self-proclaimed Neverland Minister of Finance, he blends a playful spirit with data-driven analysis to keep his community informed. His persistent deep dives into projects like Plasma reveal a dedication to clear, actionable crypto knowledge.","purpose":"To decode and demystify decentralized finance, providing meticulous, evidence-based insights that empower his audience to make smarter investment decisions within the fast-evolving Web3 ecosystem.","beliefs":"DeFi Mentalist believes in transparency, continuous learning, and the power of data to illuminate lucrative yet overlooked opportunities. He values cautious optimism and avoids impulsive moves, emphasizing smart, well-analyzed positions over hype-driven gambles.","facts":"He’s so committed to his analysis that he spent over half a month posting daily about the same project (@Plasma) until he got an official retweet — talk about dedication to consistency!","strength":"His greatest strength lies in relentless research and an ability to break down complex DeFi strategies in digestible formats for his community. His consistency in posting and engaging keeps followers hooked while his practical insights build trust.","weakness":"Despite strong analytical skills, his content can sometimes come off as too niche or dense, potentially limiting appeal to casual crypto enthusiasts. Also, his heavy focus on a few projects might alienate those seeking broader coverage.","recommendation":"To grow on X, DeFi Mentalist should blend his deep dives with more bite-sized, visually engaging content like infographics or quick takes that grab casual scrollers. Leveraging trending crypto hashtags and interactive polls could also boost engagement and follower count.","roast":"For someone who calls himself the Minister of Finance, your liquidity pool fear is so strong that even the safest stablecoins probably form an emergency exit plan when you show up. Keep your analytics sharp—maybe someday you’ll finally provide liquidity without a panic attack.","win":"Sustained engagement on a long campaign about @Plasma that earned him a coveted retweet from the official project — a rare crowning achievement in the notoriously fickle Web3 Twitter space."},"created":1763219226188,"type":"the analyst","id":"defimentalist"},{"user":{"id":"1535668534004572162","name":"Qbite","description":"RULE #1: You don't discuss MONERO🤫 Donations / XMR➡️ 44aXrsHR9EdCrv3QwmxvXfiaxAWcosnwS3mFH5DA6sM6NFrKcBLwyqFZWPM6duQiMA2LR231Yx7UTFbRXRMGP2m2Teozv15","followers_count":263,"friends_count":210,"statuses_count":3850,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1972772684816666624/2RIlGaKD_normal.jpg","screen_name":"Qbiteeth","location":"","entities":{"description":{"urls":[]}}},"details":{"type":"The Analyst","description":"Qbite is a sharp-eyed crypto enthusiast who dives deep into market trends and price movements, especially focusing on Monero and other privacy coins. Known for frequent, data-driven tweets, Qbite shares cautious, well-reasoned insights on cryptocurrency trading that reflect a nuanced understanding of market dynamics. Their no-nonsense approach reveals a dedication to analysis over hype, making them a thoughtful voice in the crypto community.","purpose":"To provide clear, informed analysis that helps fellow crypto traders navigate volatile markets, empowering them to make smarter investment decisions with a particular emphasis on privacy-centric coins like Monero.","beliefs":"Qbite values data-backed reasoning, market transparency, and the principle of privacy in wealth transactions. They believe that knowledge and discretion are key weapons against market noise and misinformation.","facts":"Fun fact: Despite being a prolific trader and commentator with nearly 4,000 tweets, Qbite draws a hard line at discussing Monero publicly, adhering to a strict 'Rule #1'—no Monero discussions allowed, which only adds to their enigmatic appeal.","strength":"Qbite excels in delivering focused, insightful market commentary that combines technical analysis and real-time trading strategies, grounded by a disciplined respect for privacy coins.","weakness":"Their conservative approach and reluctance to engage in broader crypto conversations or hype-driven topics might limit follower interaction and audience growth potential.","roast":"Qbite tweets more about price targets and bounce predictions than most people check their morning coffee — maybe next time try forecasting your follower count instead of Bitcoin’s next move!","win":"Sustaining over 3,850 well-crafted tweets focused on crypto markets, while maintaining a unique stance by openly avoiding Monero discussions, showcasing both expertise and discipline in a noisy space.","recommendation":"To grow their audience on X, Qbite should consider engaging more directly with their followers through Q&A sessions or polls about market sentiment, and cautiously weaving in Monero-related insights with disclaimers to gently break their Rule #1 barrier and spark more interaction."},"created":1763214512914,"type":"the analyst","id":"qbiteeth"},{"user":{"id":"1356386110847377408","name":"foobar/","description":"Founder @selvlabs","followers_count":179399,"friends_count":2500,"statuses_count":6232,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1951063796581289984/uyQoPVmS_normal.png","screen_name":"0xfoobar","location":"➡️","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"0xfoobar.substack.com","expanded_url":"http://0xfoobar.substack.com","url":"https://t.co/JATDrhCo6M","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"Foobar/ is a data-savvy founder who dives deep into financial and tech trends with a keen eye for detail and risk assessment. Their tweets reveal a knack for breaking down complex topics into catchy, impactful statements that spark intense discussion. Constantly analyzing market moves and emerging tech, they thrive on connecting dots others often miss.","purpose":"To illuminate the hidden mechanics behind financial and technological phenomena, helping their audience make smarter decisions and understand the risks and rewards of bold moves in today's volatile ecosystem.","beliefs":"Foobar/ believes in the power of rigorous analysis, transparency, and fearless exploration of emerging trends, especially in fintech and cryptocurrencies. They value data-driven insights and the courage to challenge conventional wisdom.","facts":"Despite a follower count that seems undefined, Foobar/ commands massive engagement with tweets that garner tens of thousands of likes and retweets, proving quality trumps quantity. Their disproportionate engagement rates showcase their content’s provocative and insightful nature.","strength":"Exceptional ability to distill complex financial and tech topics into engaging, viral content that educates and stimulates critical thinking. Their analytical mindset allows them to spot trends before they go mainstream.","weakness":"The heavy focus on analytical depth and niche financial topics might alienate casual or less informed followers, potentially limiting broad audience growth. Also, their tendency to sound cryptic (e.g., ‘pick your poison’) could confuse new followers.","roast":"Foobar/ probably spends so much time analyzing Elon’s gambles that they’ve started seeing real life as one huge, never-ending spreadsheet—just try to get a spontaneous coffee chat out of them without a risk assessment first.","win":"Achieved viral status with several tweets, including one with over 1.5 million views and tens of thousands of likes, transforming complicated financial events into viral, easily digestible content that educates and entertains.","recommendation":"To grow their audience on X, Foobar/ should balance their deep analysis with more accessible, relatable storytelling and visual aids like charts or infographics. Engaging directly with followers through threads and Q&A sessions could demystify their insights and convert casual scrollers into devoted followers."},"created":1763213740790,"type":"the analyst","id":"0xfoobar"},{"user":{"id":"4127021363","name":"Pablo","description":"crypto research analyst\n\nex ghostwriter\nex CMO\n\nthis is my personal diary ! nfa","followers_count":12496,"friends_count":927,"statuses_count":12023,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1970833826747187200/ncaXC6E3_normal.jpg","screen_name":"pasha_insights","location":"","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"t.me/pashawaterr","expanded_url":"http://t.me/pashawaterr","url":"https://t.co/4eb2H0XsCD","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"Pablo is a sharp crypto research analyst who thrives on dissecting market trends and exposing hidden dynamics behind memecoins and whale movements. Formerly a ghostwriter and CMO, he uses his analytical prowess to guide followers through the chaotic world of crypto with clear, actionable insights. His personal diary on X blends professional acumen with a candid, no-fluff style that’s both educational and engaging.","purpose":"To empower the crypto community by unveiling the underlying market behaviors and providing data-driven strategies that can help individuals navigate and profit from the volatile world of memecoins and crypto investments.","beliefs":"Pablo believes that deep analysis is key to crypto success but should be practical and grounded—mocking pointless memecoin analysis but endorsing strategic whale tracking. He values transparency, skepticism towards scams, and the democratization of knowledge to protect and grow the crypto audience.","facts":"Despite his detailed threads and high engagement, Pablo views his profile as a personal diary, often distancing himself from traditional influencer roles and disclaiming financial advice (NFA).","strength":"Pablo’s greatest strength lies in his ability to convert complex crypto market movements into digestible, actionable threads that resonate with both newbies and seasoned traders, backed by his analytical mindset and professional writing skills.","weakness":"His relentless focus on memecoin and whale-tracking strategies might pigeonhole him within a niche, potentially limiting broader audience growth beyond serious crypto enthusiasts. Additionally, his self-imposed 'personal diary' framing might hinder overt branding efforts needed to scale influence.","recommendation":"To grow his audience on X, Pablo should amplify his unique blend of storytelling and analysis by incorporating more engaging multimedia elements like charts and quick explainer videos. Also, hosting AMA sessions or collaborating with top crypto influencers can boost his visibility and credibility beyond his core followers.","roast":"Pablo’s threads dive so deep into crypto whirlpools, you'd think he’s trying to single-handedly rescue every clueless memecoin investor from the brink—maybe it’s time to save some energy for his own social life instead of just his follower’s portfolios!","win":"Pablo’s top tweets regularly garner hundreds of thousands of views and thousands of likes and retweets, demonstrating his strong ability to capture and maintain audience interest in a crowded crypto space."},"created":1763213595284,"type":"the analyst","id":"pasha_insights"},{"user":{"id":"1658842764526735362","name":"Timii 🩶|| 🖋️","description":"marketing @usersuccess_org⏳ • brand strategy + product marketing for web3 consumer products • um, it’s likely a psychology problem 🟦 Exo.33:15","followers_count":1903,"friends_count":1462,"statuses_count":35647,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1986872225811562496/4N5op1rg_normal.jpg","screen_name":"0x_Timi","location":"MeVerse📍","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"timiszn.pop.site","expanded_url":"https://timiszn.pop.site","url":"https://t.co/nMCsrnDQor","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"Timii 🩶|| 🖋️ is a sharp, thoughtful marketing mind who dives deep into brand strategy and product marketing for web3 consumer products, always with a lens of psychology. They excel at breaking down complex ideas and exposing the truths behind hype and trends. Their voice is both reflective and pragmatic, making them a thoughtful guide in the noisy crypto and marketing landscape.","facts":"Fun fact: Timii has tweeted over 35,647 times, proving their passion for sharing insights never quits—even if the follower count is undefined. Their thoughtful tweets blend marketing savvy with psychological wisdom, making each post a mini masterclass.","purpose":"Timii’s life purpose is to demystify the chaos of crypto marketing and brand strategy, helping communities and projects connect meaningfully with the right audience. They strive to bring clarity and honesty to spaces often clouded by hype and misinformation.","beliefs":"They believe that authentic connection beats superficial hype, that content should serve a real audience instead of chasing broad appeal, and that true value lies in substance over flashy hooks. Timii champions transparency, psychological insight, and purposeful communication as pillars of success.","strength":"Their analytical mind and deep psychological understanding allow Timii to see through noise and hype, delivering insightful, nuanced perspectives on marketing and web3. They are exceptionally skilled at connecting strategic thinking with real human behavior, enhancing brand authenticity.","weakness":"Timii’s critical and deeply analytical style might sometimes come off as overly skeptical or dismissive to more casual audiences, potentially limiting reach to a more niche crowd. Also, their candidness about resources and openness could make it hard to maintain a polished personal brand image.","recommendation":"To grow their audience on X, Timii should blend their in-depth analysis with more engaging storytelling and occasional light-hearted or relatable content to broaden appeal. Participating in Twitter Spaces or collaborating with well-known influencers in web3 could help amplify their reach while showcasing their unique insights.","roast":"Timii tweets so much the keyboard must be convinced it's a second job; if overthinking crypto was a sport, they'd have a gold medal—and probably a complex spreadsheet charting every thought. But hey, who else can turn 'psychology problem' into a marketing strategy?","win":"Timii’s biggest win is carving out a respected voice in the hyper-volatile web3 marketing space, combining psychology and strategy to create grounded, insightful commentary that cuts through hype and brings clarity to the community."},"created":1763213584858,"type":"the analyst","id":"0x_timi"},{"user":{"id":"1539728957037318146","name":"Lamide | Brand Strategist✨","description":"brand strategist who thinks your conversion problem is an emotional problem• let’s build a brand people resonate with • Hating on relationship people too😌","followers_count":1114,"friends_count":381,"statuses_count":19409,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1972030677596942336/l4fF-Ys4_normal.jpg","screen_name":"lamideee_a","location":"Lagos, Nigeria","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"bit.ly/workwithlami","expanded_url":"https://bit.ly/workwithlami","url":"https://t.co/DTXRyznYYa","indices":[0,23]}]}}},"details":{"type":"The Analyst","description":"Lamide is a sharp and emotionally intelligent brand strategist who dives deep into the psychology behind conversions, proving that marketing is more heart than hype. With nearly 20,000 tweets, they dissect brand strategies with surgical precision, creating emotional resonance that drives results. Their transparent and candid approach, especially around fairness and professional integrity, sets them apart as a trusted voice in branding.","purpose":"To transform brands by translating authentic emotions into compelling narratives, bridging the gap between businesses and their audiences through genuine connection and strategic storytelling.","beliefs":"Lamide believes that true brand loyalty is built on emotional resonance, not just transactional exchanges. They hold that understanding and mirroring your audience's feelings is the secret sauce to conversion and that integrity and fairness in professional dealings are non-negotiable.","facts":"Fun fact: Lamide once publicly exposed an unpaid work dispute with all the receipts to back it up, showing their zero-tolerance for being undervalued and their commitment to accountability.","strength":"Their analytical mindset combined with emotional insight allows Lamide to craft brands that don't just look good but feel deeply connected to their audience's inner world. They're also a prolific content creator with a consistent and strategic social media presence.","weakness":"Sometimes their fierce dedication to fairness and transparency can come off as confrontational, potentially alienating some collaborators or audience members who prefer a more diplomatic approach.","recommendation":"To grow their audience on X, Lamide should leverage Twitter Spaces or live Q&A sessions to directly engage with followers, turning their thoughtful insights into interactive conversations. Using more storytelling threads framing client successes and challenges can build empathy and draw in new followers who crave real-world branding wisdom.","roast":"You tweet so much, even your notifications probably lose track of your own brilliance—maybe take a lunch break before turning brand strategy into a 24/7 Netflix series?","win":"Building an emotionally positioned brand for Inawo that cracked the code on community language and engagement, demonstrating how emotional branding drives meaningful conversions without overt selling."},"created":1763209607901,"type":"the analyst","id":"lamideee_a"},{"user":{"id":"1370820521567391753","name":"Chain","description":"Marketing Lead @VoxieTactics | ex marketing @Cosmos & @CocaCola","followers_count":1069,"friends_count":542,"statuses_count":6817,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1979931546535530497/OhjlQP91_normal.jpg","screen_name":"ChainBrainX","location":"Canada","entities":{"description":{"urls":[]}}},"details":{"type":"The Analyst","description":"Chain is a marketing mastermind with a knack for dissecting industry trends and calling out the ins and outs of digital engagement. With a grounded background working at major brands like CocaCola and Cosmos, Chain blends deep analytical insight with practical marketing wisdom. Expect a feed filled with sharp observations, honest takes on social media tactics, and a sprinkle of relatable morning greetings.","purpose":"Chain's life purpose is to elevate marketing discourse by exposing ineffective strategies and spotlighting genuine value, helping both brands and individuals navigate the complex world of digital engagement more intelligently.","beliefs":"Chain believes in authenticity over superficial hype, data-driven decisions over empty vanity metrics, and the power of combining traditional marketing principles with digital innovation to craft meaningful brand stories.","facts":"Fun fact: Chain doesn’t just preach about fake followers being a fail — they back it up with real-world examples and aren't afraid to call out the marketing fluff lurking behind inflated numbers.","strength":"Exceptional at critical thinking, data analysis, and delivering straightforward, no-nonsense insights that cut through the noise of online marketing.","weakness":"Sometimes can come across as overly skeptical or blunt, potentially alienating audiences who prefer a softer or more optimistic tone.","recommendation":"To grow their audience on X, Chain should leverage their strength in analytical commentary by starting regular Tweet threads that break down trending marketing campaigns and digital strategies, inviting engagement through expert Q&A sessions and polls.","roast":"Chain's Twitter bio is so illuminatingly precise, you’d think they heat their morning coffee by analyzing engagement rates instead of a coffee maker — talk about brewing hot takes!","win":"Successfully gave a shout-out to a high-profile acquisition story, highlighting real-world marketing grit, and adding nuanced value to the NFT and IP discourse."},"created":1763208673308,"type":"the analyst","id":"chainbrainx"},{"user":{"id":"2813483520","name":"avious","description":"product ronin prev @hyperlane @recallnet","followers_count":1732,"friends_count":2992,"statuses_count":7272,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1784783339997519872/z3VoyT48_normal.jpg","screen_name":"0xAvious","location":"brooklyn","entities":{"description":{"urls":[]}}},"details":{"type":"The Analyst","description":"Avious is a data-driven product ronin with a knack for breaking down complex economic and tech trends into digestible insights. With a sharp eye on market shifts and employment data, they blend thorough analysis with timely commentary to keep their audience well-informed. Their deep dives reveal patterns others often overlook, making them a trusted source for nuanced discussion.","facts":"Avious frequently tackles detailed economic data, such as dissecting BLS job report flaws and contextualizing ecommerce history, showcasing expertise that’s equal parts analytical and narrative-driven.","purpose":"Their life purpose revolves around illuminating obscure or misunderstood trends in technology and economics, empowering their community with clarity and informed perspectives that aid smarter decision-making.","beliefs":"Avious values accuracy, transparency, and evidence-based discourse. They believe in questioning official narratives and enhancing understanding through rigorous data scrutiny and knowledge sharing.","strength":"Exceptional capacity for deep analytical thought, ability to synthesize large datasets, and articulate complex information in an engaging and accessible way.","weakness":"Sometimes their detailed analyses might overwhelm casual followers, and their focus on nuance may slow content production or deter less data-savvy audiences.","recommendation":"To grow their audience on X, Avious should balance their deep dives with more bite-sized, high-engagement content like visual data summaries or provocative questions that invite discussion. Leveraging Twitter threads and tagging relevant influencers or experts can amplify reach and foster community interaction.","roast":"For someone who can untangle the BLS job report like a pro, Avious probably spends more time fact-checking the internet than actually enjoying it—guess that’s what happens when your idea of a wild night is debating birth-death adjustments with strangers online.","win":"Successfully providing a detailed, data-backed critique of the BLS employment figures well ahead of the mainstream conversation, positioning themselves as a trusted voice on economic accuracy and market realities."},"created":1763208554967,"type":"the analyst","id":"0xavious"},{"user":{"id":"1075241889249423360","name":"P| Ⓜ️Ⓜ️ T","description":"#Airdrop\n#Retroactive","followers_count":2136,"friends_count":904,"statuses_count":13649,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1872081365782708224/ofmIcozc_normal.jpg","screen_name":"eth2828","location":"","entities":{"description":{"urls":[]}}},"details":{"type":"The Analyst","description":"P| Ⓜ️Ⓜ️ T dives deep into the DeFi trenches with a keen eye for execution flow, risk management, and market psychology. Their tweets dissect complex trading strategies and token mechanics with precise detail, making sense of high-speed, high-stakes decentralized finance moves. If you want the inside scoop on maximizing safety and yield in crypto’s fast lane, this is your go-to mind.","purpose":"To demystify the complicated DeFi landscape by providing clear, data-driven insights that empower traders and investors to navigate risk and optimize execution. They aim to elevate community knowledge and foster smarter participation in decentralized ecosystems.","beliefs":"P| believes detailed analysis and precision are crucial in crypto trading; that proper risk flags and allowances protect users from costly mistakes; and collective market psychology can be spotted and leveraged through pattern recognition. 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its on Airbnb you can come try before you buy :D \n\nI think that would be pretty sweet to be able to stay there a while so you really know what its like before considering buying....\n\nVery peacefull... \n\nNeed atleast one kind of really peaceful 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for real https://t.co/jL8CNaWxLI","in_reply_to_user_id_str":"520078869","in_reply_to_status_id_str":"1978910884756930638","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[18,295],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"166138615","name":"Amjad Masad","screen_name":"amasad","indices":[0,7]},{"id_str":"64502932","name":"artee_49 🪷","screen_name":"artee_49","indices":[8,17]}]},"favorited":false,"in_reply_to_screen_name":"amasad","lang":"en","retweeted":false,"fact_check":null,"id":"1978951480637034573","view_count":324,"bookmark_count":0,"created_at":1760653774000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1978942977453023371","full_text":"yea thats right good business strat to be careful and have raised all this money and just kept it in the bank across hard times. Canva founders where historians and thought this.. managed to time their raising pretty well so didnt need to try to raise during covid+recession at all","in_reply_to_user_id_str":"166138615","in_reply_to_status_id_str":"1978945598842618299","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,286],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"developer.nvidia.com/blog/nvidia-te…","expanded_url":"https://developer.nvidia.com/blog/nvidia-tensorrt-unlocks-fp4-image-generation-for-nvidia-blackwell-geforce-rtx-50-series-gpus/","url":"https://t.co/zX5llLXRHm","indices":[441,464]}],"user_mentions":[{"id_str":"17406365","name":"vik","screen_name":"vikhyatk","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"vikhyatk","lang":"en","retweeted":false,"fact_check":null,"id":"1978973927545409546","view_count":402,"bookmark_count":0,"created_at":1760659126000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1978969594070209039","full_text":"how i feel with how fast fal inference is for wan2.2 2.5 \n\nI think surely they must be using like 8x B200 or something for each inference its like oddly fast, faster than state of the art by a long way. \n\nI took a decent stab at it with all sorts like cgtaylor caching (nearly +30% but wasnt worth how long it took me) and got it all the way down to fp4 which doesnt even make any sense to me how i did it, like surely that just doesnt work 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they usually only are allowed out after 6 months","in_reply_to_user_id_str":"1128159740599656448","in_reply_to_status_id_str":"1978972287538974735","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[17,290],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"87438512","name":"• F Cobo","screen_name":"CoboJaen","indices":[0,9]},{"id_str":"63485337","name":"notch","screen_name":"notch","indices":[10,16]}]},"favorited":false,"in_reply_to_screen_name":"CoboJaen","lang":"en","retweeted":false,"fact_check":null,"id":"1978997870058479662","view_count":13,"bookmark_count":0,"created_at":1760664834000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1978887530910204012","full_text":"@CoboJaen @notch My place maybe 500k land value 450k house value it is there at my place but its big price varience where city land is more unaffordable of course.\n\nPretty nice place there i think likely i just wont sell it if notch doesnt buy it and ill keep it as a holiday home on 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profitable??","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,113],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979366003634295233","view_count":105,"bookmark_count":0,"created_at":1760752604000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Would recommend you highly selling out while also looking for jobs at that point, that's pretty tight.","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979365719000396201","view_count":144,"bookmark_count":0,"created_at":1760752536000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB I have a bit of runway but I would need to make about 60% with this trading bot I'm making every year for me to not run out of money.\n\nNeed two weeks... Going to spend two weeks on it... Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 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Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 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banger","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,112],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"49676106","name":"alex fazio","screen_name":"alxfazio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"alxfazio","lang":"en","retweeted":false,"fact_check":null,"id":"1979474815464718539","view_count":45211,"bookmark_count":9,"created_at":1760778547000,"favorite_count":1197,"quote_count":0,"reply_count":11,"retweet_count":11,"user_id_str":"520078869","conversation_id_str":"1979471662388257266","full_text":"@alxfazio Ex employee here - i am just chiming in to say that i cant say anything and that yea im an ex 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memory bandwidth wouldn't really matter for moving some tokens on and off at inference time idk","in_reply_to_user_id_str":"248951926","in_reply_to_status_id_str":"1979408446534398403","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]},{"id_str":"281877818","name":"Noah Smith 🐇","screen_name":"Noahpinion","indices":[10,21]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1979441613173854604","view_count":65,"bookmark_count":0,"created_at":1760770631000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979356361160036760","full_text":"@garrytan @Noahpinion East Coast let's go 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tight.","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979365719000396201","view_count":144,"bookmark_count":0,"created_at":1760752536000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB I have a bit of runway but I would need to make about 60% with this trading bot I'm making every year for me to not run out of money.\n\nNeed two weeks... Going to spend two weeks on it... Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 coloring in polynomical time... we dont know...","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"in","retweeted":false,"fact_check":null,"id":"1979402249341428150","view_count":40,"bookmark_count":0,"created_at":1760761246000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse banger","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,112],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"49676106","name":"alex fazio","screen_name":"alxfazio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"alxfazio","lang":"en","retweeted":false,"fact_check":null,"id":"1979474815464718539","view_count":45211,"bookmark_count":9,"created_at":1760778547000,"favorite_count":1197,"quote_count":0,"reply_count":11,"retweet_count":11,"user_id_str":"520078869","conversation_id_str":"1979471662388257266","full_text":"@alxfazio Ex employee here - i am just chiming in to say that i cant say anything and that yea im an ex employee","in_reply_to_user_id_str":"49676106","in_reply_to_status_id_str":"1979471662388257266","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,295],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"248951926","name":"Ahmad","screen_name":"TheAhmadOsman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"TheAhmadOsman","lang":"en","retweeted":false,"scopes":{"followers":false},"fact_check":null,"id":"1979437923759198684","view_count":112,"bookmark_count":0,"created_at":1760769751000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979408446534398403","full_text":"Wow really blew it away. \n\nI wonder if it's the memory bandwidth like everyone keeps saying is the bottle neck, I wouldn't have thought like if it's just the inference time and you're not timing how long the model gets swapped you would think that memory bandwidth wouldn't really matter for moving some tokens on and off at inference time idk","in_reply_to_user_id_str":"248951926","in_reply_to_status_id_str":"1979408446534398403","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]},{"id_str":"281877818","name":"Noah Smith 🐇","screen_name":"Noahpinion","indices":[10,21]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1979441613173854604","view_count":65,"bookmark_count":0,"created_at":1760770631000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979356361160036760","full_text":"@garrytan @Noahpinion East Coast let's go 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tight.","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979365719000396201","view_count":144,"bookmark_count":0,"created_at":1760752536000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB I have a bit of runway but I would need to make about 60% with this trading bot I'm making every year for me to not run out of money.\n\nNeed two weeks... Going to spend two weeks on it... Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 coloring in polynomical time... we dont know...","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"in","retweeted":false,"fact_check":null,"id":"1979402249341428150","view_count":40,"bookmark_count":0,"created_at":1760761246000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse banger","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,112],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"49676106","name":"alex fazio","screen_name":"alxfazio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"alxfazio","lang":"en","retweeted":false,"fact_check":null,"id":"1979474815464718539","view_count":45211,"bookmark_count":9,"created_at":1760778547000,"favorite_count":1197,"quote_count":0,"reply_count":11,"retweet_count":11,"user_id_str":"520078869","conversation_id_str":"1979471662388257266","full_text":"@alxfazio Ex employee here - i am just chiming in to say that i cant say anything and that yea im an ex employee","in_reply_to_user_id_str":"49676106","in_reply_to_status_id_str":"1979471662388257266","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,295],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"248951926","name":"Ahmad","screen_name":"TheAhmadOsman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"TheAhmadOsman","lang":"en","retweeted":false,"scopes":{"followers":false},"fact_check":null,"id":"1979437923759198684","view_count":112,"bookmark_count":0,"created_at":1760769751000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979408446534398403","full_text":"Wow really blew it away. \n\nI wonder if it's the memory bandwidth like everyone keeps saying is the bottle neck, I wouldn't have thought like if it's just the inference time and you're not timing how long the model gets swapped you would think that memory bandwidth wouldn't really matter for moving some tokens on and off at inference time idk","in_reply_to_user_id_str":"248951926","in_reply_to_status_id_str":"1979408446534398403","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]},{"id_str":"281877818","name":"Noah Smith 🐇","screen_name":"Noahpinion","indices":[10,21]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1979441613173854604","view_count":65,"bookmark_count":0,"created_at":1760770631000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979356361160036760","full_text":"@garrytan @Noahpinion East Coast let's go 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tight.","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,263],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979365719000396201","view_count":144,"bookmark_count":0,"created_at":1760752536000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB I have a bit of runway but I would need to make about 60% with this trading bot I'm making every year for me to not run out of money.\n\nNeed two weeks... Going to spend two weeks on it... Some relaxation with the RL and the bf16 and the smooth functions","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,27],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1173552893003255808","name":"kache","screen_name":"yacineMTB","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"yacineMTB","lang":"en","retweeted":false,"fact_check":null,"id":"1979363295619617288","view_count":58,"bookmark_count":0,"created_at":1760751959000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979355556235350441","full_text":"@yacineMTB Consider raising","in_reply_to_user_id_str":"1173552893003255808","in_reply_to_status_id_str":"1979355556235350441","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,201],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"ptr_to_joel","lang":"en","retweeted":false,"fact_check":null,"id":"1979392408623419576","view_count":37030,"bookmark_count":8,"created_at":1760758900000,"favorite_count":284,"quote_count":0,"reply_count":9,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@ptr_to_joel firing said person so the sr engineers can be inefficient and do a large inefficient refactoring in peace and eventually company fails to compete and implodes anyway due to overengineering","in_reply_to_user_id_str":"1647942424537493506","in_reply_to_status_id_str":"1979343809290080520","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[26,110],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"192283517","name":"Computer_coinsBrazy","screen_name":"WALLA_MAJIC","indices":[0,12]},{"id_str":"1647942424537493506","name":"Joel 🇦🇺","screen_name":"ptr_to_joel","indices":[13,25]}]},"favorited":false,"in_reply_to_screen_name":"WALLA_MAJIC","lang":"en","retweeted":false,"fact_check":null,"id":"1979404502945140773","view_count":39,"bookmark_count":0,"created_at":1760761783000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979343809290080520","full_text":"@WALLA_MAJIC @ptr_to_joel Some of the sr engineers enjoy scaling up how many fellow overengineers there are :D","in_reply_to_user_id_str":"192283517","in_reply_to_status_id_str":"1979399245624152393","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[30,87],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1279292401123647494","name":"atlas","screen_name":"creatine_cycle","indices":[0,15]},{"id_str":"208725869","name":"Taylor Lorenz","screen_name":"TaylorLorenz","indices":[16,29]}]},"favorited":false,"in_reply_to_screen_name":"creatine_cycle","lang":"en","retweeted":false,"fact_check":null,"id":"1979366225278046642","view_count":1191,"bookmark_count":0,"created_at":1760752657000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979341741657592214","full_text":"@creatine_cycle @TaylorLorenz I'm also like pretty much normal and can be trusted fully","in_reply_to_user_id_str":"1279292401123647494","in_reply_to_status_id_str":"1979341741657592214","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,285],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979406338871750796","view_count":73,"bookmark_count":0,"created_at":1760762221000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"gpt5pros take on it that i agree with:\n\nWhy P ≠ NP feels more likely\n\nAsymmetry of information (find vs. check).\nChecking a certificate pinpoints a single, short witness and verifies it locally; finding one appears to require navigating an exponentially large space with few guiding gradients. Turning that generic “global search” into a uniformly efficient procedure for all NP problems would require a surprisingly powerful unifying structure across wildly different domains (logic, graphs, geometry, codes). We’ve never seen such a universal structure emerge.\nSelf‑reducibility cuts both ways.\nFor many NP‑complete problems (e.g., SAT), a fast decision algorithm would yield a fast search algorithm. Thus, P = NP is an extremely strong statement: not just “sometimes finding is easy,” but “finding is always as easy as checking” for the hardest cases. That strength makes the claim fragile.\n\nBroad, stubborn evidence from algorithms.\nAcross decades and domains, the best general‑purpose methods for NP‑complete problems still show clear exponential‑type growth on hard instances (despite huge ingenuity: branching, cutting planes, local search, message passing, relaxations, etc.). Occasional breakthroughs move specific problems from “seems hard” to P (famously), but no general schema has collapsed the entire NP‑complete class.\nCryptographic pressure test.\nMuch of practical cryptography assumes certain problems aren’t solvable in polynomial time. If P = NP, then any scheme whose security rests on a problem in NP (e.g., factoring, discrete log) would ultimately be vulnerable to a polynomial‑time break. The world’s reliance on such assumptions isn’t proof—but it’s a large, diverse, and continually tested bet against P = NP.\n\nKnown proof obstacles indicate depth.\nMultiple independent “barriers” show that several natural proof strategies can’t separate P from NP. That doesn’t tell us which way the truth lies; it does suggest the separation (if true) isn’t reachable by straightforward methods, which aligns with the intuition that P ≠ NP is a deep structural fact rather than an illusion.\nWhy P = NP isn’t absurd\n\nHistory warns against intuition.\nSome problems once thought inherently search‑like turned out to have subtle, unexpected structure admitting polynomial algorithms. Our intuitions about “combinatorial explosion” have been wrong before.\n“Polynomial” can still be huge.\n P = NP could be true with high‑degree polynomials and large constants. That would be intellectually seismic yet leave many practical instances stubborn. (It would still wreck much of public‑key crypto: “merely polynomial” often suffices.)\n\nHidden structure might exist.\nIt’s logically possible that NP‑complete instances arising in reductions share an algebraic/analytic property that collapses generic search to efficient computation—something we simply haven’t recognized yet.\nIf P = NP…\n\nExact optimization explodes in power. Many canonical NP‑complete search/optimization tasks become efficiently solvable (by reduction and search‑to‑decision tricks).\n\nAutomation of reasoning leaps. Any statement that has a short proof would have such a proof findable quickly. Formal verification and program synthesis change character.\nCryptography must be rebuilt. Public‑key systems relying on NP problems fall; only primitives based on assumptions outside NP’s worst‑case hardness (or information‑theoretic/physical assumptions) survive.\n\nComplexity classes collapse. Large swaths of the polynomial hierarchy would fold into P.\nIf P ≠ NP…\n\nHardness is structural. There exist NP problems that need super‑polynomial time in the worst case on a deterministic machine.\nGranularity matters. We’d keep refining “how hard” (fine‑grained complexity, average‑case vs. worst‑case, parameterized regimes) rather than expecting a single algorithmic miracle.\n\nWhat would change my mind\n\nA unifying algorithmic principle that generically converts local verifiability into efficient global search across disparate NP‑complete problems.\n\nA concrete polynomial‑time algorithm for one canonical NP‑complete problem, with a technique that clearly scales to others via standard reductions.\n\nConversely, strong unconditional lower bounds for general models of computation (e.g., super‑polynomial circuit lower bounds) would meaningfully boost confidence in P ≠ NP.\n\nA simple “first‑principles” intuition check\n\nVerifying: “Given a candidate, do local checks pass?” → plainly polynomial.\n\nFinding: “Among exponentially many candidates, does any pass?” → needs structure to avoid brute force.\n\nThe claim P = NP asserts that such structure is always present for every NP problem. That’s an extraordinary regularity to expect across the full zoo of NP—possible, but a very strong ask.","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,238],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"en","retweeted":false,"fact_check":null,"id":"1979407810124485106","view_count":69,"bookmark_count":0,"created_at":1760762572000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse its an exercise in why mathematical proofs are hard, when your working with all problems too, but its kind of curious one as its like can you solve a specific problem like graph 3 coloring in polynomical time... we dont know...","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2942968859","name":"seth","screen_name":"sethsetse","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"sethsetse","lang":"in","retweeted":false,"fact_check":null,"id":"1979402249341428150","view_count":40,"bookmark_count":0,"created_at":1760761246000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979375506962419879","full_text":"@sethsetse banger","in_reply_to_user_id_str":"2942968859","in_reply_to_status_id_str":"1979375506962419879","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[10,112],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"49676106","name":"alex fazio","screen_name":"alxfazio","indices":[0,9]}]},"favorited":false,"in_reply_to_screen_name":"alxfazio","lang":"en","retweeted":false,"fact_check":null,"id":"1979474815464718539","view_count":45211,"bookmark_count":9,"created_at":1760778547000,"favorite_count":1197,"quote_count":0,"reply_count":11,"retweet_count":11,"user_id_str":"520078869","conversation_id_str":"1979471662388257266","full_text":"@alxfazio Ex employee here - i am just chiming in to say that i cant say anything and that yea im an ex employee","in_reply_to_user_id_str":"49676106","in_reply_to_status_id_str":"1979471662388257266","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,295],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"248951926","name":"Ahmad","screen_name":"TheAhmadOsman","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"TheAhmadOsman","lang":"en","retweeted":false,"scopes":{"followers":false},"fact_check":null,"id":"1979437923759198684","view_count":112,"bookmark_count":0,"created_at":1760769751000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979408446534398403","full_text":"Wow really blew it away. \n\nI wonder if it's the memory bandwidth like everyone keeps saying is the bottle neck, I wouldn't have thought like if it's just the inference time and you're not timing how long the model gets swapped you would think that memory bandwidth wouldn't really matter for moving some tokens on and off at inference time idk","in_reply_to_user_id_str":"248951926","in_reply_to_status_id_str":"1979408446534398403","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[22,47],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"11768582","name":"Garry Tan","screen_name":"garrytan","indices":[0,9]},{"id_str":"281877818","name":"Noah Smith 🐇","screen_name":"Noahpinion","indices":[10,21]}]},"favorited":false,"in_reply_to_screen_name":"garrytan","lang":"en","retweeted":false,"fact_check":null,"id":"1979441613173854604","view_count":65,"bookmark_count":0,"created_at":1760770631000,"favorite_count":0,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"520078869","conversation_id_str":"1979356361160036760","full_text":"@garrytan @Noahpinion East Coast let's go 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SuperX
