Kevin Lu @_kevinlu
@thinkymachines. formerly: - @openai: RL, synthetic data, efficient models - @berkeley_ai: decision transformer, universal computation kevinlu.ai SF 🏳️🌈 Joined October 2020-
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I recently joined @thinkymachines -- super excited to work with the team, I think we have the highest density of research talent in the world 🙂 we have a very ambitious roadmap ahead, the right team to work on it, & I think now is a great time to join; you should reach out to…
I recently joined @thinkymachines -- super excited to work with the team, I think we have the highest density of research talent in the world 🙂 we have a very ambitious roadmap ahead, the right team to work on it, & I think now is a great time to join; you should reach out to…
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Kevin Lu retweeted
GPT-5 is what you’ve been waiting for – it defines and extends the cost-intelligence frontier across model sizes today. it’s been a long journey, and we’ve landed pivotal improvements across many axes in the whole GPT-5 family. and hey no more model picker (by default)!
Kevin Lu retweeted
this was a first-class effort worked on by amazing researchers, and the results speak for themselves I'm proud of OpenAI for this release – open-weights models are huge for Broadly Distributing the Benefits of AI research glad this model made it out alive 🙃
this was a first-class effort worked on by amazing researchers, and the results speak for themselves I'm proud of OpenAI for this release – open-weights models are huge for Broadly Distributing the Benefits of AI research glad this model made it out alive 🙃 https://t.co/bLvNPdjtIA
come check out the team’s latest models, with substantial contributions from @SuvanshSanjeev & @minyoung_huh 🙂 we are a stone’s throw away from gpt5-level performance running locally on your phone
come check out the team’s latest models, with substantial contributions from @SuvanshSanjeev & @minyoung_huh 🙂 we are a stone’s throw away from gpt5-level performance running locally on your phone
Kevin Lu retweeted
Ads aren't inherently good or evil. They are fundamentally a market for attention. Attention is humanity's ultimate scarce resource. Our goal should be to allocate it as efficiently as possible.
Kevin Lu retweeted
I surveyed 30+ AI researchers, builders, and VCs on what actually matters in AI right now: what what they pay for, companies to invest in, hot takes, etc. Here's what AI insiders think 2025+ will bring:
Exciting implications for environment design, search, and science 🙂 A lot of good science is smart experimental design resulting in a precise hypothesis that can be clearly verified Today we have systems like AlphaEvolve that can optimize easy-to-verify systems -- how can we…
Exciting implications for environment design, search, and science 🙂 A lot of good science is smart experimental design resulting in a precise hypothesis that can be clearly verified Today we have systems like AlphaEvolve that can optimize easy-to-verify systems -- how can we…
one of the things we need for ai to mature is a more efficient capital allocation: - what if i buy a large cluster but find no use for it? - what if i sign a nine figure contract with a company that fails to deliver me a good model? - what if I pay $100M for a researcher who…
one of the things we need for ai to mature is a more efficient capital allocation: - what if i buy a large cluster but find no use for it? - what if i sign a nine figure contract with a company that fails to deliver me a good model? - what if I pay $100M for a researcher who…
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