Andy Tang @tangerinecoder
Robotics and AI @ SAIL fear less; imagine more andyta.ng Joined April 2023-
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Very happy to share that our work on learning long-history policies received the Best Paper Award from the Workshop on Learned Robot Representations @RoboticsSciSys ! 🤖🥳 Check out our paper if you haven't already! long-context-dp.github.io Thank you to all the organizers and…
Very happy to share that our work on learning long-history policies received the Best Paper Award from the Workshop on Learned Robot Representations @RoboticsSciSys ! 🤖🥳 Check out our paper if you haven't already! long-context-dp.github.io Thank you to all the organizers and… https://t.co/IY36rUvlzs
Even the smartest LLMs can fail at basic multiturn communication Ask for grocery help → without asking where you live 🤦♀️ Ask to write articles → assumes your preferences 🤷🏻♀️ ⭐️CollabLLM (top 1%; oral @icmlconf) transforms LLMs from passive responders into active collaborators.…
How can robots autonomously handle ambiguous situations that require commonsense reasoning? *VLM-PC* provides adaptive high-level planning, so robots can get unstuck by exploring multiple strategies. Paper: anniesch.github.io/vlm-pc/
How do we make a scalable RL recipe for robots? We study batch online RL w/ demos. Key findings: - iterative filtered imitation is insufficient - need diverse policy data, eg using diffusion policy - policy extraction can hinder data diversity Paper: pd-perry.github.io/batch-online-r…
How do we make a scalable RL recipe for robots? We study batch online RL w/ demos. Key findings: - iterative filtered imitation is insufficient - need diverse policy data, eg using diffusion policy - policy extraction can hinder data diversity Paper: pd-perry.github.io/batch-online-r…
🧠Memory is crucial for robots — to handle occlusions, track progress, stay coherent, etc. Yet, most VLA truncate context. 🤔Why is long-context hard for robot policies? And how can we fix it? 📄Our new paper: Learning Long-Context Diffusion Policies via Past-Token Prediction
🧠Memory is crucial for robots — to handle occlusions, track progress, stay coherent, etc. Yet, most VLA truncate context. 🤔Why is long-context hard for robot policies? And how can we fix it? 📄Our new paper: Learning Long-Context Diffusion Policies via Past-Token Prediction https://t.co/pc5R5xgJoN
Was super fun exploring this! Most modern policies don't use history -- Diffusion Policy in particular gets a lot worse. We identify a simple ingredient for history improvement, and use it to improve efficiency and performance of long-context policies.
Was super fun exploring this! Most modern policies don't use history -- Diffusion Policy in particular gets a lot worse. We identify a simple ingredient for history improvement, and use it to improve efficiency and performance of long-context policies.
I’m excited to share a project I’ve been working on for over a year, which I believe will fundamentally change our approach to language models. We’ve designed a new architecture, which replaces the hidden state of an RNN with a machine learning model. This model compresses…
We've had over a thousand new engineers try Quilter in the last few weeks submitting some really interesting designs. We really want to see some of these come to life, so we're subsidizing board builds! If you want to build a Quilter design in real life, we'll cover the cost of…
We've had over a thousand new engineers try Quilter in the last few weeks submitting some really interesting designs. We really want to see some of these come to life, so we're subsidizing board builds! If you want to build a Quilter design in real life, we'll cover the cost of…
Here is Playground v2.5, our latest model.
Here is Playground v2.5, our latest model.
Very excited to introduce ROAM, our new work that allows a robot to *adapt on-the-go* as it faces OOD situations during deployment, drawing on pre-trained behaviors. See as ROAM enables our Go1 to roller skate zero-shot 🤖🐕🛼 (without any lessons!) 🧵(1/9)
We’ve had a flurry of product launches over the past week. Unless you’ve been on X every day, you likely missed a couple. Here’s a recap of every launch so you can get up to speed👇
if you have trouble deploying on replit i guarantee lincoln can figure it out. it's shipping szn :D

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wavefunction 🌊 @wavefunction_sh
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Ben Z𝟶 @0thernet
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Priyaa @pritopian
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sophi kravitz 🎈�... @SophiKravitz
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June @h_june88
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verbii @verbii_
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Quilter @quilterai
591 Followers 66 Following Quliter removes the manual layout bottleneck to make PCB design instant, infinite, and autonomous, so engineers can innovate instead of routing traces.
kabir @KabirGoel
2K Followers 1K Following taking down production @cartesia_ai • wasted your tax dollars @cal
jenny @jennyhansolo
178 Followers 631 Following prompt eng @khanacademy alum @stanfordsymsys, @stanfordhci
Ayush Agrawal @ayushh_agrawal
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Joe Thom ⠕ @joethomdotcom
166 Followers 286 Following ~/dev @Replit Ex @TeamKano @stemplayer @Madebymany
Niklas Muennighoff @Muennighoff
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Daniel Litt @littmath
50K Followers 883 Following Assistant professor (of mathematics) at the University of Toronto. Algebraic geometry, number theory, forever distracted and confused, etc. He/him.
zack (in SF) @zack_overflow
26K Followers 2K Following 24 eng @bunjavascript i like systems programming, chief uncle @nautilusquest house
Myra Deng @myra_deng
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Andrew Davison @AjdDavison
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1K Followers 815 Following member of technical staff @stanfordnlp, go by zen, life is neither wind nor rain, nor clear skies
Seohong Park @seohong_park
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Geoffrey Litt @geoffreylitt
17K Followers 2K Following researching malleable software / prev @inkandswitch, @MIT_CSAIL / 🇯🇵🇺🇸
Jessy Lin @realJessyLin
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Rylan Schaeffer @RylanSchaeffer
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Ziming Liu @ZimingLiu11
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Andreas Kirsch 🇺�... @BlackHC
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