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Claims 2.5x speedups over eager PyTorch operations but most of the listed examples seem to be fusion benchmarks with a likely untuned compiled baseline. 6x speedups over linear, really?
norm speedups would evaporate if authors upgrade from pytorch 2.5 github.com/pytorch/pytorc…
Claims 2.5x speedups over eager PyTorch operations but most of the listed examples seem to be fusion benchmarks with a likely untuned compiled baseline. 6x speedups over linear, really?
norm speedups would evaporate if authors upgrade from pytorch 2.5 github.com/pytorch/pytorc… https://t.co/PC4OyB1OIt
Congrats to @jackcai1206 and @nayoung_nylee for their NeurIPS Spotlight on "Extrapolation by Association: Length Generalization Transfer In Transformers" :)
Congrats to @jackcai1206 and @nayoung_nylee for their NeurIPS Spotlight on "Extrapolation by Association: Length Generalization Transfer In Transformers" :)
Announcing Project Go-Big
There’s no YouTube for robot data, so we’re building one ourselves
- Figure now has access to >100k real homes via Brookfield
- We’ve begun scaling human collect
- We already have initial results: direct human video-to-robot transfer to Helix 🧬
Intelligent humanoids should have the ability to quickly adapt to new tasks by observing humans
Why is such adaptability important?
🌍 Real-world diversity is hard to fully capture in advance
🧠 Adaptability is central to natural intelligence
We present MimicDroid 👇
🌐…
ha! here is something fun and totally random I've been pondering: as Oliver Sacks has beautifully written - "what is the space between two snowflakes?" Language can describe all the things, stuff, and people in intricate details. But what about the 'space', the 'nothingness' in…
ha! here is something fun and totally random I've been pondering: as Oliver Sacks has beautifully written - "what is the space between two snowflakes?" Language can describe all the things, stuff, and people in intricate details. But what about the 'space', the 'nothingness' in…
🚨🚨New paper on core RL: a way to train value-functions via flow-matching for scaling compute!
No text/images, but a flow directly on a scalar Q-value. This unlocks benefits of iterative compute, test-time scaling for value prediction & SOTA results on whatever we tried.
🧵⬇️
Excited to see Matei Zaharia’s keynote at @VLDBconf!
Lakebase looks promising-combining @neondatabase’s cloud-native Postgres with Lakehouse to unify OLTP+analytics.
Excited to see Matei Zaharia’s keynote at @VLDBconf!
Lakebase looks promising-combining @neondatabase’s cloud-native Postgres with Lakehouse to unify OLTP+analytics.
Besides the fun fact that Connectionism is connected with the early days of the AI field and highlights similarities between neural networks and human brains, the flagship product of the (first) Thinking Machines is named Connection Machine. — 🧑🎓Enjoy reading and more is coming!
Besides the fun fact that Connectionism is connected with the early days of the AI field and highlights similarities between neural networks and human brains, the flagship product of the (first) Thinking Machines is named Connection Machine. — 🧑🎓Enjoy reading and more is coming!
🚨 Elon Musk at the All-In Summit
-- DOGE
-- Optimus
-- Starlink smartphones
-- "Grokipedia"
-- Evolving with AI
-- Why the West is Imploding
-- Understanding the universe
-- Colonizing Mars
++ much more
(0:00) Introducing Elon Musk
(2:47) Optimus: Progress and potential, the…
339 Followers 2K FollowingTenure-track assistant prof @SUNY UB | CS Ph.D. @WisconsinCS | Former intern at @Google X 2, @MSFTResearch | Tweets on exciting optimization and ML research
562 Followers 403 FollowingResearcher @Microsoft | NLP / ML PhD from @LTIatCMU | Previously at @UCSanDiego @allen_ai @AdobeResearch @facebookai @iitroorkee | Opinions are my own.
635 Followers 520 FollowingPhD student @berkeley_ai @UCJointCPH. Prev research fellow @MSFTResearch. CS @bitspilaniindia. Working in #NLProc, robustness, and causality.
3K Followers 896 FollowingProfessor for CS at the Tuebingen AI Center @uni_tue and affiliated Professor at MIT-IBM Watson AI lab @MITIBMLab - Multimodal learning and video understanding
2K Followers 555 FollowingProf at @UCSanDiego @ucsd_cse. I hacked a Stop sign once, and it is now in a museum. I also hacked professional bicycles used in the Tour de France.
124K Followers 497 FollowingPrinceton CS prof. Director @PrincetonCITP. I use X to share my research and commentary on the societal impact of AI.
BOOK: AI Snake Oil. Views mine.
3K Followers 1K FollowingVisiting Scientist at Schmidt Sciences. Visiting Researcher at the Stanford NLP Group
Previously: Anthropic, AI2, Google, Meta, UNC Chapel Hill
14K Followers 647 FollowingStanford Professor of Linguistics and, by courtesy, of Computer Science. Member of technical staff @stanfordnlp and @StanfordAILab. Co-founder @ Bigspin AI.
5K Followers 744 FollowingFull Professor and head of Fundamental AI (FunAI) Lab @funailab at University of Technology Nuremberg. previously @UvA_Amsterdam, @Oxford_VGG
2K Followers 56 FollowingChief AI Scientist, Oracle, and the Eduardo D. Glandt Distinguished Professor, CIS, University of Pennsylvania. Former VP/Distinguished Scientist, AWS AI Labs.
3K Followers 793 FollowingProf @UMichCSE, Researching to safeguard users from network interference and censorship. Founder of CensoredPlanet.
Academic mom of anti-censorship community.
3K Followers 1K FollowingSenior Research Scientist @GoogleDeepMind (Gemini team), PhD from @umass_nlp. Former undergrad @IITBombay and intern @GoogleDeepMind, @Allen_AI, @TTIC_Connect.
7K Followers 245 FollowingDirector, GenAI Research @Meta. Tech Lead of Movie Gen Meta. Past: MIT TR35, Llama3, Emu Video, ImageBind, DINO. Tweets and opinions are my own.
2K Followers 1K FollowingAssistant Professor @DIKU_Institut @UCPH_Research, Ex Postdoc @MPI_IS @ETH_ AI Center @CompSciOxford, @StHughsCollege, @turinginst, @cseatiitk