World Models

World models are learned systems that simulate how an environment evolves in response to actions, generating predicted future states rather than relying on a hand-coded physics or game engine. In generative video-game simulators like MIRA, a world model produces each next frame directly from a neural network's learned sense of game dynamics, letting it improvise plausible worlds it was never explicitly programmed to render.