World models are AI systems that learn an internal simulation of how an environment behaves, predicting what happens next given actions, enabling planning, imag
AI systems that learn an internal simulation of how an environment behaves, predicting what happens next given actions, enabling planning, imagination-based training, and physical reasoning. They are central to robotics, autonomous driving, and the 2026 push toward physical AI.
For their generality: an agent with a good world model can rehearse actions internally before taking them, learn from imagined experience, and transfer understanding across tasks, closer to how animals navigate reality than next-token prediction alone.