Basavasagar Patil @basavasagar18
@UMRobotics Master's Student. basavasagarkp.github.io Ann Arbor Joined November 2019-
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With some caveats*
Solution to Yann lecun's drifting problem is a system prompt!!
Solution to Yann lecun's drifting problem is a system prompt!!
PSA: if you work on plasticity loss you should read "Transient Non-stationarity and Generalisation in Deep Reinforcement Learning" by Igl et al. It's super relevant but suffers from an unfortunate lack of SEO due to predating the "plasticity loss" nomenclature.
ofcourse, they took the spotlight from genie
The progress is crazy on this!!
The progress is crazy on this!!
Lol, I just used Opus to rewrite my torch PPO code to Jax. Let's just say I was nowhere near confident, and I was right, full of compilation errors and bugs
Lol, I just used Opus to rewrite my torch PPO code to Jax. Let's just say I was nowhere near confident, and I was right, full of compilation errors and bugs
Sell my computer
I am excited to announce that our AI institute (Institute for Foundations of Machine Learning, IFML) has been renewed. IFML was part of the first cohort of AI Institutes announced in 2020. Led by UT Austin, the new award will build on the trajectory of the past five years and…
This very cool paper proposes an intriguing idea. If you use a small batch size, you can fine-tune LLMs with SGD or Adafactor (algorithms with very small memory overhead). But there is a small trap: Storage precision. Let's explore that. 🧵
This very cool paper proposes an intriguing idea. If you use a small batch size, you can fine-tune LLMs with SGD or Adafactor (algorithms with very small memory overhead). But there is a small trap: Storage precision. Let's explore that. 🧵
Hierarchical RL!!!!
clickbait title
before we got fancy optimizers like muon shampoo and conditioner with matmuls , optimizer steps were essentially entirely bandwidth-bound pointwise ops in this regime more optimizer steps by definition decreases your MFU, and vice-versa if the speed increases more than your…
before we got fancy optimizers like muon shampoo and conditioner with matmuls , optimizer steps were essentially entirely bandwidth-bound pointwise ops in this regime more optimizer steps by definition decreases your MFU, and vice-versa if the speed increases more than your…
(only tangentially related): Many interesting claims in empirical DL, including my own, are “not even wrong” — they are not stated precisely enough to even be hypothesis-tested. This is often by necessity: we don’t know formal definitions of the relevant objects. (Cont)
(only tangentially related): Many interesting claims in empirical DL, including my own, are “not even wrong” — they are not stated precisely enough to even be hypothesis-tested. This is often by necessity: we don’t know formal definitions of the relevant objects. (Cont)
TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.github.io/lbm1/ One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the…
Why you should stop working on RL research and instead work on product // The technology that unlocked the big scaling shift in AI is the internet, not transformers I think it's well known that data is the most important thing in AI, and also that researchers choose not to work…
we are from New York
While scaling laws typically predict the final loss, we show in our ICML oral paper that good scaling rules enable accurate predictions of entire loss curves of larger models from smaller ones! w/@Locchiu, @andrewgwils, J. Pennington, A. Agarwala: arxiv.org/abs/2507.02119 1/10
@unixpickle I tried the byte-level discrete diffusion model, basavasagarkp.github.io/2025/07/07/byt…
MysticSophiaBaker @Qigaq210
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Johan Obando-Ceron �... @johanobandoc
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Ona Frami @FramiOna93244
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Lechao Xiao @Locchiu
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Satar @SatarXkt7O
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Unnat Jain @unnatjain2010
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Preston Culbertson @pdculbert
334 Followers 118 Following Assistant professor, @Cornell_CS. Learning, perception, and control for building more dynamic robots.
Paper Copilot @ ICML ... @papercopilot
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PolyNavigator @HammesGavi70580
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leonardo bertelli @leo__berte
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Kyle Sargent @KyleSargentAI
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Dieter Büchler @dtrbchlr
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Andreas Kirsch 🇺�... @BlackHC
14K Followers 6K Following My opinions only here. 👨🔬 RS @DeepMind, @Midjourney 1y 🧑🎓 DPhil @AIMS_oxford @UniofOxford 4.5y 🧙♂️ RE DeepMind 1y 📺 SWE @Google 3y 🎓 TUM 👤 @nwspk
Someone @Some1_Boring
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Sossee @SosseeZsKkN
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Xiong Zeng @XiongZeng111
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Wenda Wang @wwd7086
258 Followers 2K Following Co-founder @UCR_robotics (humanoid)｜Autonomy @Apple SPG | MRSD @CMU_Robotics 🤖 | ❤️ in the work
Vandal @nwl989rt3KNz4V8
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Tounioez @TounioezQMXVt
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MarthaViolet @s77JbjX0FDC4PG
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Roman Erkens @ErkensRoman
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Seong Joon Oh @coallaoh
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Tiffaney @chamberstiffane
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lil’km @_lilkm_
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Remi Cadene @RemiCadene
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Bute AI Cryptocurrenc... @8uWG34n5hXVgMVh
3 Followers 189 Following No need to stay up late to watch the market; Experience 24 hours to earn 1k-10k profit! https://t.co/5q0KKDMKCA
CandiceSandy @Z0ZugYiT3rUb4o8
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PolymathicAI @PolymathicAI
3K Followers 68 Following The Polymathic AI Collaboration. Shared account.
Baruch Tabanpour @the_real_btaba
723 Followers 519 Following Robotics @GoogleDeepMind. I work on MJX, MuJoCo, and brax. I'm just a yellow sponge in a big sea.
Edward Hughes @edwardfhughes
2K Followers 457 Following #OpenEndedness. Staff Research Engineer @GoogleDeepMind, Visiting Fellow @LSEnews, Advisor @coop_ai, Choral Director @GodwineChoir. Views my own.
I2RT Robotics @i2rt_robotics
690 Followers 291 Following Open-source, robust robotic hardware that you can actually deploy in real world.
Katie Everett @_katieeverett
3K Followers 632 Following Machine learning researcher @GoogleDeepMind + PhD student @MIT. Opinions are my own.
Owain Evans @OwainEvans_UK
16K Followers 357 Following Runs an AI Safety research group in Berkeley (Truthful AI) + Affiliate at UC Berkeley. Past: Oxford Uni, TruthfulQA, Reversal Curse. Prefer email to DM.
Miguel Angel Bautista @itsbautistam
3K Followers 196 Following I am a research scientist at Apple MLR, working on generative modeling of all the things 🇪🇸🇺🇸
Sinead Williamson @sineadwilliamso
2K Followers 423 Following Machine Learning/Statistics. MLR Apple / Assoc. Prof UT Austin. Mostly Bayesian. She/her. Opinions my own.
Matthew Johnson @SingularMattrix
13K Followers 3K Following Researcher at Google Brain. I work on JAX (https://t.co/UGa5tGfinF).
Stephen Roller @stephenroller
5K Followers 1K Following MoTS @thinkymachines. previously pre-training @googledeepmind ,@character_ai, and @aiatmeta.
Andrew Hyunsoo Lee @alhyunsoo
4K Followers 916 Following founding designer @thinkymachines. prev @NotionHQ, @PalantirTech. born in california, raised in japan.
Rowan Zellers @rown
14K Followers 974 Following multimodal @thinkymachines. I also like to climb rocks and throw pottery. https://t.co/5Er4j39K71 (he/him)
Vlado Boza @bozavlado
2K Followers 206 Following second of his name. Destroyer of ML hype. I also enjoy making neural networks smaller. https://t.co/nt7zlGRYRO
Tatiana Tsiguleva @ciguleva
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Micah Goldblum @micahgoldblum
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Xiaohan Zhang @XiaohanZhang220
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Fabian Schaipp @FSchaipp
1K Followers 675 Following working on optimization for machine learning. currently postdoc @inria_paris. sbatch and apero.
Russ Tedrake @RussTedrake
2K Followers 82 Following Professor at MIT, studying robotics. Vice President of Robotics Research, Toyota Research Institute.
Shikai Qiu @ShikaiQiu
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Robert Dadashi @robdadashi
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Willie Neiswanger @willieneis
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Ananya Kumar @ananyaku
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Damien Ferbach @damien_ferbach
577 Followers 194 Following PhD at @Mila_Quebec/ Previously student in Maths and theoretical Physics at @ENS_ULM
Lechao Xiao @Locchiu
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Thariq @trq212
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Patrick Kidger @PatrickKidger
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Generalist @GeneralistAI_
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