Odyssey-3 genuinely surprised me. one world model that powers a humanoid, controls robot arms, drives a car, pilots a drone, plays video games and trains other AIs. the team behind @odysseyml built self-driving cars at Cruise and Wayve and has been on world models since 2023. so when they call task-by-task robot training brute force, I listen. their answer is a physics agent. it learns how the world works by watching it: physics, motion, cause and effect, how people behave. a new machine plugs into that knowledge. they say a few hours of its own data gets it going, with an action head turning the model's understanding into controls. it's basically what LLMs did for knowledge work. one broad model underneath, and every upgrade to it makes everything built on top better. what stuck with me most: it also generates worlds where AI agents can practice, so their mistakes happen in a simulation first. they think world models will end up understanding physics better than we do. big claim. I want to see it hold up when it's public in the coming weeks.