I feel like the obsession with continual learning / sample efficiency leads the field in the wrong direction. It's the bad career strategy of focusing on addressing your weaknesses instead of maximizing your strengths. Yes, there is an existence proof in the human brain, but it doesn't by any means guarantee that that'll be the most interesting AI. It may require $100T of R&D on chips and AI methods to get that unlock. On the other side of things, it's obvious that the coming models are extremely transformative and built on technologies that we already have. There's great reason to focus on just maximizing this. In reality, this is what the frontier labs are doing. They're going as fast as possible down the current development tree. This is good for progress and mixed for safety/geopolitics. Things like "automate white color work" and "replace the AI researcher job" are the guesses of labs because it's super hard to imagine futures for what these dramatic technologies will be. Don't take the labs too seriously about this being the exact goal. The exact goal is to push the frontier and monetize later. Solving continual learning, sample efficiency, etc would be great, but its trying to predict when a scientific breakthrough will come instead of trying to grapple with how the 100% sure thing coming technological revolution will change our lives. This isn't to say the Dwarkesh post is bad, it addresses some reasonable critiques, but it is the least bitter lesson pilled thing to be obsessed with human intelligence and how that can inform AI. We are in the AGI era of research. This is about embracing the unknown, scaling resources, and seeing what is enabled by making a series of magical tweaks to complex recipes that build frontier models. Lean into the alchemy. (it should be pretty clear that I personally, investing in open research agree we need fundamental science -- just not agreeing that this is what the "cutting edge of the frontier" is governed by)

フィジカルAI、ついに独り立ち！ テレオペなし・自律で、もしかめ5回成功。けん玉6級レベルに到達。 そして今日は私の誕生日。39歳、だけにサンキュー。

World Labs CEO Dr. Fei-Fei Li: "The world is not made of words." "Language models have given machines an extraordinary command of concepts, vocabulary, and reasoning, but the physical world, virtual or real, runs on a different substrate." "Where language models learn the statistical structure of text, world models learn the statistical structure of space and time: how light falls on a surface, how a garden looks from an angle no camera has captured, how objects respond to force and follow the laws of physics." "Language gave machines a way to talk about that world. World models are how machines will finally come to understand, imagine, reason and interact with it." Full piece: drfeifei.substack.com/p/a-fu…

NVIDIA announces the first open humanoid robot reference design built for robotics research. The NVIDIA Isaac GR00T Reference Humanoid Robot combines the @UnitreeRobotics H2 humanoid robot, @SharpaRobotics Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard compute, and Isaac GR00T open software and models, giving researchers a full-stack platform from data capture to model deployment. Read the #NVIDIAGTC Taipei announcement: nvda.ws/4ef9VOr

Humanoids need data. Lots and lots of data. Introducing HumanoidMimicGen: a method that automatically generates 1000s of humanoid loco-manipulation demonstrations from a single teleoperated demonstration.

Submit your CoRL workshop proposal! This year @RLioutikov and I wanted to make the workshop more "workshopy". Main changes are: - Half-day events only - Limited speaker slots - Challenge- and participation-driven - A post-workshop artifact (white paper, report, paper, etc.) summarizing the discussions

SONIC is now open-source! Generalist whole-body teleoperation for EVERYONE! Our team has long been building comprehensive pipelines for whole-body control, kinematic planner, and teleoperation, and they will all be shared. This will be a continuous update; inference code model already there, training code and gr00t integration coming soon! Code: github.com/NVlabs/GR00T-Whol… Docs: nvlabs.github.io/GR00T-Whole… Site: nvlabs.github.io/GEAR-SONIC/

Zero teleoperation. Zero real-world data. ➔ Autonomous humanoid loco-manipulation in reality. Introducing VIRAL: Visual Sim-to-Real at Scale. We achieved 54 autonomous cycles (walk, stand, place, pick, turn) using a simple recipe: 1. RL 2. Simulation 3. GPUs Website: viral-humanoid.github.io/ Arxiv: arxiv.org/abs/2511.15200 Deep dive with me: 🧵

@tydsh always enjoy your presentations, whether at workshops or podcasts, as well as your insights on post-training, RSI, and even your sci-fi writing. 🥳🥳🥳 ~ recursive-workshop.github.io #RSI #ICLR2026 #破晓之钟

We are working to restore mobility that was lost due to disease or spinal cord injury by allowing participants to control robotic arms with their thoughts. See how this is possible.