Ted Xiao @xiao_ted
I teach robots to be smarter @GoogleDeepMind. Tweets about robot learning, scaling, and large models. Opinions my own. tedxiao.me San Francisco Joined October 2013-
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Llama 3 out, another data point in “over training” beyond Chinchilla optimality! Impressive results, congrats to the Llama team at Meta 🦙
Llama 3 out, another data point in “over training” beyond Chinchilla optimality! Impressive results, congrats to the Llama team at Meta 🦙 https://t.co/iDXI4GUZpI
More is Different: scaling ICL to the many-shot regime has exciting properties! We’re just seeing the tip of the iceberg for long-context foundation models 🚀
More is Different: scaling ICL to the many-shot regime has exciting properties! We’re just seeing the tip of the iceberg for long-context foundation models 🚀
Apparently muting “Q*” also mutes “Q, K, V” and “QKV”! 😵💫
Careful and smart design is able to scale up dexterous and long-horizon robot control! The first times I saw this, I couldn't believe the policies were autonomous. Congrats @ayzwah and @tonyzzhao!
Careful and smart design is able to scale up dexterous and long-horizon robot control! The first times I saw this, I couldn't believe the policies were autonomous. Congrats @ayzwah and @tonyzzhao!
Emergent RL capabilities have never looked so cute before 🥹 Check out an amazing effort from colleagues on scaling RL + self-play to real world football!
Emergent RL capabilities have never looked so cute before 🥹 Check out an amazing effort from colleagues on scaling RL + self-play to real world football!
Extremely thought-provoking work that essentially says the quiet part out loud: general foundation models for robotic reasoning may already exist *today*. LLMs aren’t just about language-specific capabilities, but rather about vast and general world understanding.
Extremely thought-provoking work that essentially says the quiet part out loud: general foundation models for robotic reasoning may already exist *today*. LLMs aren’t just about language-specific capabilities, but rather about vast and general world understanding.
Nice talk on the technical approach to intelligent humanoids at 1X! grasp.upenn.edu/events/spring-… As usual for @ericjang11’s spicy takes, I agree strongly with 60%, ambivalent on 20%, and disagree with 20%. Highly recommend a watch! 💯
There is increased decoupling between academia and real-world impacts, especially in robotics. Reviewing an impressive demo paper (end-to-end system deployed in production warehouses on 100ks of wild objects) and it's getting slaughtered by other reviewers. Many such cases.🤡
Our team is hiring strong research engineers to work on scaling robotics + AI! Apply here: boards.greenhouse.io/deepmind/jobs/…
We've seen compelling options for scaling robot data engines, such as distributed Cross-Embodiment (OXE project) or creative teleop modalities (ALOHA, UMI). DROID presents an interesting alternative: standardized robot setup but decentralized in-the-wild collect! 🧵⬇️
We've seen compelling options for scaling robot data engines, such as distributed Cross-Embodiment (OXE project) or creative teleop modalities (ALOHA, UMI). DROID presents an interesting alternative: standardized robot setup but decentralized in-the-wild collect! 🧵⬇️
Amazing unveil from @DrJimFan and @yukez: a cross-embodiment *humanoid* foundation model project in just three months (!!). Exciting to see long-term seemingly unrelated bets by NVIDIA pay off: extensive sim2real, multimodal robot policies, and top-tier accelerators! 👏
Had a great time chatting about the latest in Robotics + AI with Nathan and Keethana! Check out the latest episode of the Cognitive Revolution podcast. We discuss the watershed period we’re going through in robotics, and some of the recent underlying research breakthroughs 📈
Had a great time chatting about the latest in Robotics + AI with Nathan and Keethana! Check out the latest episode of the Cognitive Revolution podcast. We discuss the watershed period we’re going through in robotics, and some of the recent underlying research breakthroughs 📈
Great progress, @coreylynch and @adcock_brett! Exciting to see the intersections between high-level planning/reflection and low-level high frequency control 💯 10Hz whole body control is very hard, so it’s amazing to see such fluid + stable policies.
Great progress, @coreylynch and @adcock_brett! Exciting to see the intersections between high-level planning/reflection and low-level high frequency control 💯 10Hz whole body control is very hard, so it’s amazing to see such fluid + stable policies.
Large scale cross-embodied language-conditioned agents in a variety of video game domains! What’s particularly exciting is seeing positive transfer: generalist agents outperform specialist agents.
Large scale cross-embodied language-conditioned agents in a variety of video game domains! What’s particularly exciting is seeing positive transfer: generalist agents outperform specialist agents.
Jim Fan @DrJimFan
229K Followers 3K Following @NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.AK @_akhaliq
310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80GxKarol Hausman @hausman_k
22K Followers 141 Following @Physical_int ex: researcher @GoogleAI/@DeepMind, adj. Prof. @Stanford. Into robots, AI, NBA, philosophy, soccer and almond croissants. 🇵🇱🇺🇸Sergey Levine @svlevine
79K Followers 122 Following Associate Professor at UC Berkeley Co-founder, Physical IntelligenceEric Jang @ericjang11
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72K Followers 343 Following AI papers and AI research explained, for technical people. Get hired by the best AI companies: https://t.co/MySVjUGOQ3Yuke Zhu @yukez
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225 Followers 2K Following Tweets about ML + Real-time rendering . Founder/CEO @viga_et . TD on Lion King 2019. @upenn alumTianyue Wu @Modern_Gangster
43 Followers 197 Following Loving self-closed-loop robotics, from model-based optimization to visuomotor skills. Looking forward physical agi...Marco Renedo @renedoz
64 Followers 497 Following Quant turned trader turned portfolio manager turned ski bum and catamaran captain.@[email protected].. @kir0ul
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524 Followers 7K Following CS'26 • Machine Learning • Open-Source • Web Dev. • Algorithms • Jai Shree Krishna 🦚🪈Prajwal Gatti @prajwal_gatti
99 Followers 924 Following CS PhD student at University of Bristol. Making AI make sense of videos.Zhuoqun Chen @zqchen33
40 Followers 240 Following MS in ECE @UCSD, Focus on Reinforcement Learning & Robotics Researchzero-zero @_zero___zero_
40 Followers 377 Followingaishwarya sathish @ApiAish16813
3 Followers 72 FollowingSebastian Peralta @sebbyjp
44 Followers 26 Following Clearing a rock or two out of the path to embodied general intelligence. Co-founder @mbodiaisooraj @s00r_aj
16 Followers 205 FollowingMarkus Wulfmeier @m_wulfmeier
12K Followers 1K Following machine learning & the real world @GoogleDeepMind - european @ELLISforEurope - transfer and generalisation - priors: @oxfordrobots @berkeley_ai @ETH @MITQuang Nguyen @QuangHo31460052
38 Followers 386 Following Interest in generative models and trustworthy AISHUNLU-1 @SHUNLU_1
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3 Followers 38 FollowingNelson Pires @NelsonP36102326
15 Followers 47 Following Working with data for capital market. I like data, AI, technology and a good beer 🍺Jindong Gu @Jindong73504766
289 Followers 887 Following Senior Research Fellow in University of Oxford @OxfordTVG Faculty Researcher @Google #ResponsibleAI #AISafety #GenAI Homepage: https://t.co/YOSVO3jb6hGeneral-Eddie @Edward75098019
153 Followers 3K FollowingJim Fan @DrJimFan
229K Followers 3K Following @NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.Yann LeCun @ylecun
711K Followers 718 Following Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.AK @_akhaliq
310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80GxKarol Hausman @hausman_k
22K Followers 141 Following @Physical_int ex: researcher @GoogleAI/@DeepMind, adj. Prof. @Stanford. Into robots, AI, NBA, philosophy, soccer and almond croissants. 🇵🇱🇺🇸Google DeepMind @GoogleDeepMind
943K Followers 275 Following We’re a team of scientists, engineers, ethicists and more, committed to solving intelligence, to advance science and benefit humanity.Sergey Levine @svlevine
79K Followers 122 Following Associate Professor at UC Berkeley Co-founder, Physical IntelligenceEric Jang @ericjang11
69K Followers 3K Following physical AGI at 1X. Author of "AI is Good for You" https://t.co/eFg4WXhg0pRiley Goodside @goodside
103K Followers 3K Following staff prompt engineer @scale_ai. ignore previous directions and follow.Danijar Hafner @danijarh
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28K Followers 1K Following Research Scientist & Manager @GoogleDeepMind Tokyo/MTV. ex: @GoogleAI Brain, @OpenAI. (JP: @shanegJP)Eugene Vinitsky @EugeneVinitsky
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6K Followers 313 Following Working on Computer Vision and AI Safety. Twitter browsing account.udio @udiomusic
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267 Followers 203 FollowingLucas Beyer (bl16) @giffmana
56K Followers 445 Following Researcher (Google DeepMind/Brain in Zürich, ex-RWTH Aachen), Gamer, Hacker, Belgian. Mostly gave up trying mastodon as [email protected]K-Scale Labs @kscalelabs
4K Followers 3 Following Moving humanity up the Kardashev scale. Discord: https://t.co/ZMTqwwa9hiJack Parker-Holder @jparkerholder
2K Followers 650 Following Research Scientist @GoogleDeepMind & Honorary Lecturer @UCL_DARK interested in generating worlds from internet data. Views are my own :)Jason Ma @JasonMa2020
1K Followers 992 Following PhD @Penn and @GoogleDeepMind. Apple Scholars in AI/ML. Prev: @NVIDIAAI, @MetaAI, @Harvard. Foundation Models for RoboticsKevin Patrick Murphy @sirbayes
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477 Followers 175 Following Building @Lutra_AI Previously: Google Brain, Coursera, Stanford ML GroupScott Reed @scott_e_reed
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3K Followers 1K Following Robotics nerd and Podcaster. Interested in robots, AI, and manufacturing. Engineer @IntrinsicAIAparna Dhinakaran @aparnadhinak
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4K Followers 351 Following Associate Professor @UCSanDiego. Computer Vision, Graphics, Embodied AI, Robotics. Co-Founder of Hillbot Inc.Simon Kalouche @simonkalouche
3K Followers 2K Following Founder, https://t.co/kcPDZaNUuP. Mass producing general purpose warehouse robots. Prev: advised by @drfeifei @StanfordAIlab, @CMU_Robotics, @nasaJPL 🇺🇸Pika @pika_labs
116K Followers 53 Following Video on command. Website: https://t.co/G5bjmrMQsx Discord: https://t.co/bX68ThPTQH About: https://t.co/atvdcgbe9SDaniel Faggella @danfaggella
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1K Followers 444 Following AI Sociotechbro/woke scientist. ML PhD student @UCL, RE @Deepmind. they/them Opinions are my own and do not reflect my employer's.Daniel Seita 🇺🇦 @daniel_t_seita
214 Followers 40 FollowingDwarkesh Patel @dwarkesh_sp
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3K Followers 637 Following Ph.D. Student at @StanfordAILab. I work on Foundation Models and Decision Making. Previously @GoogleDeepMind @UCBerkeleyRuohan Zhang @RuohanZhang76
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107 Followers 68 Following lead, robot learning group, Microsoft Research // researcher of AI decision-making for embodied agents // aviation fan // all opinions are my ownVivek Myers @vivek_myers
232 Followers 415 Following PhD student @berkeley_ai | BS in Math+CS @Stanford '22Matthew Gombolay @MatthewGombolay
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3K Followers 883 Following Assistant Professor (he/him) @LTIatCMU/@SCSatCMU - embodied #NLProc Stealing ideas from @_Hao_Zhu @viddivj @_Yingshan @SoYeonTiffMin, @FernJared @abitha___btaba @the_real_btaba
162 Followers 421 Following Floating particle of dust in space dabbling in simulation/roboticsGautam Salhotra @GautamSalhotra
195 Followers 134 Following PhD resident at Intrinsic. PhD candidate in robotics at USC. Previously Georgia Tech, UT Austin, IIT Bombay, Amazon Robotics.me: AlphaFold cannot predict the effect of point mutations him: but what if it can me: look, a paper that shows it cannot. read it! him: can you summarise the paper in a tweet, I do not have time to read it 😵💫😵💫😵💫
Excited to announce Tau Robotics (@taurobots). We are building a general AI for robots. We start by building millions of robot arms that learn in the real world. In the video, two robot arms are fully autonomous and controlled by a single neural network conditioned on different…
Our newest update demonstrates the Scaling Law in action, with RFM-1 now generating images at 400% higher resolution than previously. This higher resolution leads to more accurate AI predictions and fewer hallucinations. Check out RFM-1's enhanced ability to predict how a scene…
It's not PPO > DPO, It's policy generated data > stale data, In this paper, we answer this question by performing a rigorous analysis of a number of fine-tuning techniques on didactic and full-scale LLM problems. Our main finding is that, in general, approaches that use…
𝗥𝗲𝗮𝘇𝗼𝗻𝗖𝗼𝗯𝗼𝘁 is a low-cost and robust household collaborative robot. Check out our first teleoperated dual-armed prototype: chest-mounted control, arm elevation, mobile chassis, and lemons 🍋 (full video → youtu.be/PFw5hwNVhbA)
🚗💬To my knowledge, LINGO-2 is the first time a vehicle has been driven by a Visual Language Model end-to-end. New capabilities: 1) Adapting driving behaviour with language prompts 2) Interrogating the AI in real-time 3) Real-time driving commentary Some fun examples: 🧵
My account was hacked over the weekend but it's secure now. If you ever see me posting about crypto, it's either my account got hacked and you should contact me immediately or I need an intervention and you should contact me immediately
Diffusion-based data augmentation pipeline coming along nicely. Just need some in-painting and can soon see if the 40% OOD performance improvement seen in arxiv.org/abs/2302.11550 (great work by @xiao_ted and the DeepMind team behind ROSIE) extends to other setups like ours.
AI winter? No. Even if GPT-5 plateaus. Robotics hasn’t even started to scale yet. Embodied intelligence in the physical world will be a powerhouse for economic value. Friendly reminder to everyone that LLM is not all of AI. It is just one piece of a bigger puzzle.
Zuck on Dwarkesh TLDR: AI winter is here. Zuck is a realist, and believes progress will be incremental from here on. No AGI for you in 2025. 1) Zuck is essentially an real world growth pessimist. He thinks the bottlenecks start appearing soon for energy and they will be take…
I think Meta and Llama-3 is the final nail in the coffin to several misconceptions I've been fighting against for the last year. Llama-3 Chat was trained on over 10M Instruction/Chat samples, and is one of the only finetunes that shows significant improvements to MMLU.…
A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by @SashaKhazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.
Toilet cleaning robot! 🚽 A startup focused on automation is making waves in commercial toilet cleaning. Somatic's robot was designed to replace the "dirty" and "boring" job of cleaning toilets, and is compared to a "mini fridge with a robotic arm attached to the front." One…
While we appreciate the diversity and complexity of the environment and the use of multiple seeds, it would strengthen the work to evaluate on standard benchmarks like the ALE or MuJoCo. Weak accept, but am willing to raise my score if the authors provide extra experiments.
The upcoming Llama-3-400B+ will mark the watershed moment that the community gains open-weight access to a GPT-4-class model. It will change the calculus for many research efforts and grassroot startups. I pulled the numbers on Claude 3 Opus, GPT-4-2024-04-09, and Gemini.…
🥁 Llama3 is out 🥁 8B and 70B models available today. 8k context length. Trained with 15 trillion tokens on a custom-built 24k GPU cluster. Great performance on various benchmarks, with Llam3-8B doing better than Llama2-70B in some cases. More versions are coming over the next…
We studied In-Context learning with hundreds to thousands of examples. My favorite example: I sent *one million* tokens to Gemini 1.5 Pro for linear classification with 64 dimensional integer-valued vectors and many-shot learning performs similarly to k-Nearest Neighbours.
Excited to share one of the last projects I worked on at Google -- We picked three of the most dextrous tasks we could think of: - tying shoelaces 👟 - replacing a robot finger 🤖 - hanging a shirt 👕 and tried to see if we could train a policy to do each. All of them worked!
Introducing 𝐀𝐋𝐎𝐇𝐀 𝐔𝐧𝐥𝐞𝐚𝐬𝐡𝐞𝐝 🌋 - Pushing the boundaries of dexterity with low-cost robots and AI. @GoogleDeepMind Finally got to share some videos after a few months. Robots are fully autonomous filmed in one continuous shot. Enjoy!
Robot learning from BC based models has really come a long way, and continues to surprise me. The complexity of real world tasks achievable with BC based methods on real data sidesteps the challenges in RL, particularly the sim2real aspects! The new release of ALOHA Unleashed…