World models are moving AI into 3D space to teach robots navigation

World models represent a shift in AI development from processing text and images to simulating three-dimensional physical environments. These systems learn how objects move, interact, and behave in space, enabling robots and autonomous vehicles to predict outcomes and navigate complex scenarios more effectively than current approaches.

By building internal models of real-world physics, these AI systems can train on simulated environments before deployment, reducing the need for costly real-world testing. The technology bridges a gap between how AI understands the world in language and images versus how it must operate in physical space.