We're excited to introduce AW-0: Agentic World Action Models! 🤖 (0/8) The first World Action Model that plans in code, predicts the future, and controls the robot—all in one generative model. AW-0 jointly generates: 🧠 Code - explicit skill calls, object arguments, and control flow 🎥 Future video - predictive visual dynamics 🦾 Robot actions - continuous motor control All three are generated together through joint denoising, letting semantic plans directly shape both predicted futures and robot behavior, with: 🤝 Hybrid execution — generated programs can also run directly through perception and control APIs ⚡ Just 40 ms of additional inference latency over the base WAM on an RTX 5090 📚 Pretrained on ~3,000 hours of robot + human demonstrations One model for planning, prediction, and execution. 🌐 Project: agentic-wam.github.io/ 📄 Paper: arxiv.org/abs/2610.30136v1 💻 Code: github.com/ZhuoyangLiu2005/a… 🤗 Model: huggingface.co/miniFranka/ag… 🧵 How it works—and what we found ↓

The AI physical Olympics will be held in Tel Aviv 🇮🇱!! Details and registration below! Tel Aviv, May 18–19, 2027. 10,000 people in the arena. Forget scripted, pre-recorded demos where the robot succeeds on take 47. This one will be live! The P.AI Games—organized by the Israeli National AI Directorate | Prime Minister's Office and led by Guy Altagar—is putting embodied AI to the ultimate test: 10 real-world arenas. $1.35M in prize money. Live scoring in front of an arena crowd. Here are the events: → Pick up oily crystal glasses and pack a dishwasher in under 8 minutes without cracking one. → High-speed dynamic baton handoff between two moving robots across a 20-meter track. → Face off in real over-the-board chess against another robot, moving pieces and hitting the clock. → Balance a raw egg and a full tray of water up an incline ramp with zero spills. → Grab a 14-lb bowling ball and take down a full rack of pins. Humanoids, quadrupeds, wheeled bases, custom manipulators—every morphology is welcome. Whether you want to dominate a single niche challenge or take on all ten, this is where the bar gets set. No entry fee. Plus, participating teams receive dedicated financial support to make the trip happen. If you run a robotics startup, lead an OEM team, or build cutting-edge embodied models in academia, this is your arena. Drop a comment or DM me if your team wants to throw their hat in the ring—I'd love to see you on the floor. Details and registration: pai-games.com/

Hi all, I have a new result I'm excited to share. It turns out that *all existing implementations* of softmax and cross-entropy (that's JAX, PyTorch, textbooks, etc) have a subtle bug --- two bugs, actually. A simple rewrite fixes both, and eliminates "slingshots" when grokking:

Today, Dream Labs is coming out of stealth with Dream-1, a robot foundation model that controls bimanual robots it has never seen, on tasks it was never shown, in places it has never been, from $3/hour. Dream API is live for everyone, today. 🧵

We taught a robot to play! Introducing Dexterity from Supervised Play (DSP): turning minutes of human play into a world model and dexterous manipulation policy. No task demonstrations or sim2real! play-policy.github.io

first comes capability, then efficiency! we've already managed to bring compute requirements down, stay tuned :D

Announcing Gemini 4 Argon, our new frontier model. Argon is built to sustain deep reasoning across complex, long-horizon workflows and delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. We’re also expanding the model’s output token limit to an industry-leading 1M tokens. Argon is currently rolling out to a set of trusted cyber defenders in the Fairwind Program, with broader availability as soon as possible.

If you're at #IROS26, completing your PhD soon, and interested in a Postdoc position to collaborate with me and my students on Agentic Robotics for bimanual manipulation in the AUTOLab @UCBerkeley, please come talk with us at the Bistro near the Westin Hotel Registration Desk between 7-8pm tonight! We're particularly interested in PhDs with skills in model-based methods, control theory, computer vision, and motion planning who are excited to work with frontier LLM and VLM models!

Maybe computer vision conferences need something like an "AI methods" track. This would not be a traditional paper -- it would describe how you leveraged a frontier model to solve an outstanding problem. The publication would describe the problem, give the prompts, resulting code, demo, etc. This would allow the field to say "ok, that problem is solved sufficiently well" and move on. This acknowledges something that's been bothering reviewers for a long time. Reviewers feel papers require technical novelty. If one uses a frontier model, there may not be anything technically interesting. But the fact that an open problem is solvable, and how you solve it, is interesting. I would not have a full review process for such things. An abstract and a link to a demo might be enough. People would get a poster or demo space to show what they did. I can imagine that practical sessions where people get insights about how to solve problems today could be interesting. Just a thought.

We are excited to announce that World Labs is joining @AMD. The research and technical breakthroughs we have achieved since our founding in 2024 have given us a clear vision for AI’s potential to solve problems in the spatial and physical world. Accelerating the future of spatial and physical intelligence requires scaling our efforts, scaling our reach, and getting closer to the hardware.

Yep. This is a toxic (and crazy) outlook. There are plenty of important problems that basic research will solve outside of labs. Much of this pessimism btw is created by people that have never experienced excellence in pure research and thus don't have a frame of reference.

Na I can’t do this anymore

We are aware that codex is down and are working hard to bring back normal service.

there are many many people who studied physics and came to the conclusion that working on machine learning would probably create more scientific progress than studying physics including many of the original chatgpt crew like john schulman, liam fedus, amodei & jared kaplan at ant

תוך כמה זמן Muse מגיע ל 100 מליון משתמשים?

Full ABC release 🔤 ! Train, test, and evaluate your models. The full suite of simulation tasks and data has also been released! Excited to see what people build 🔨🤖