Worlds Within Reach: How SIMA 2 Turns Virtual Environments into Training Grounds for Generalist Agents
Games are not toys to an AI lab. They are controlled worlds with messy consequences. A game gives an agent what enterprise software and robotics both struggle to provide at scale: visual ambiguity, delayed goals, menus, navigation, tool use, failure states, and a reset button that does not involve a broken warehouse robot or a furious operations manager. That is why Google DeepMind’s SIMA 2 paper is more interesting than “AI can play games again.” We have had that headline several times. It is getting a little tired, and it should probably hydrate. ...