Joe Isaacson
@Jisaacso
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@ NeurIPS torching pys @pytorch
Seattle, WA
Joined July 2012
@AsimovBio cooking over the holidays. Just launched their second essays on genetic engineering, written in physical DNA and sealed in a stainless steel capsule. Lasts 10k years without degradation 🤯
Eat your heart out, Gutenberg @AsimovPress book #2, encoded in DNA, available now for pre-order. One of the coolest projects I've ever seen unfold. Huge thanks to @catalogtechinc, @imagene_biotech, and @plasmidsaurus for making this possible, and @jasonjoyride for the epic vid
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@anneouyang from @Stanford talking on KernelBench, a standardized benchmark for kernel generations. Level 1-4 problems challenging sota LLMs to generate performant GPU kernels.
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@simran_s_arora from @HazyResearch on GPU kernel generation, project 🍿and the challenge of AI mapping algorithms to hardware architecture. At @NeurIPSConf Hacker AI Cup
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@WuNeal from @cognition_labs on the future of competitive programming as a litmus test for AI, at @NeurIPSConf Hacker Cup session
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David Harmeyer on Facebook’s history of Hacker Cup. How to add N flights to N airports to minimize travel distance.
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Stoked for the Hacker AI Cup Workshop to start at @NeurIPSConf ! Speakers @weiwei_msr @syhw @WuNeal @simran_s_arora @MishaLaskin @thomascapellajp @marksaroufim ! Come join, room 210
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Congrats on the launch of 🌽 KernelBench! We're excited to partner with 🍿 Popcorn to lower the barrier to GPU programming!
We are not the only ones thinking about this direction. The vision was nicely outlined by @karpathy in his talk (see picture below, credit to karpathy and @accel), and we found many others also eager to attempt this. Project 🍿: in the GPU Mode server is a community effort towards this goal of LLMs generating performant GPU kernels. We hope KernelBench could be a valuable contribution for the community, to help understand current capabilities and serve as a playground to evaluate various techniques. If you are interested, we would love to hear your thoughts and welcome you to join the mission! Link to the relevant part of Karpathy’s talk:
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A huge thanks to @caseyaylward and the @Accel team for running the highest quality sys ml hackathon I’ve ever see . It was great to meet so many GPU MODE friends IRL, and hack on torchao. And Congrats to the winners for fast flexible attention!
14/ We had so much fun bringing this special community together IRL for an amazing day of technical talks/hacking. Big thanks to everyone who turned out and our planning committee (here’s an “after” photo taken at midnight). Full videos of the talks to follow soon #cudamodeirl.
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RT @marksaroufim: From the beginning, @neurosp1ke and I wanted a community that was cozy, inclusive and fun where you could make friends an…
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Excited for our release of LeanRL, showcasing the simplicity and performance of torch compile across a breath of RL Models. Big shout out to @vwxyzjn for the inspiration and support
Today we're opensourcing a LeanRL, a simple RL library that provides recipes for fast RL training using torch.compile and cudagraphs. Using these, we get >6x speed-ups compared to the original CleanRL implementations. A thread ⬇️
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RT @MSFTResearch: Registration is open for the #NeurIPS2024 HackerCup, the world's first AI programming competition by Microsoft Research,…
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