Google DeepMind is using Gemini to train agents inside Goat Simulator 3

SIMA 2, which can figure out how to solve problems inside virtual worlds, could lead to more general-purpose agents and better robots. Google DeepMind has built a new video-game-playing agent called SIMA 2 that can navigate and solve problems in a wide range of 3D virtual worlds. The company claims it's a big step toward more general-purpose agents and better real-world robots. Google DeepMind first demoed SIMA (which stands for "scalable instructable multiworld agent") last year. But SIMA 2 has been built on top of Gemini, the firm's flagship large language model, which gives the agent a huge boost in capability. The researchers claim that SIMA 2 can carry out a range of more complex tasks inside virtual worlds, figure out how to solve certain challenges by itself, and chat with its users.