🌍World Models

A World Model is a generative AI that learns an internal, predictive model of its environment. Think of it as a robot's "imagination." It allows the robot to simulate "what would happen if...?" without having to perform the action in the real world. By understanding the rules, physics, and dynamics of its surroundings, a world model can predict future states from current observations and potential actions.

Prominent examples like DeepMind's Genie 2 and models developed by Worldlabs can generate high-fidelity, interactive simulation environments from multi-view imagery and video data. A robot can use these internal simulations to:

• Train and learn new skills in a safe, virtual space.

• Plan complex, multi-step tasks by exploring the outcomes of different action sequences.

• Anticipate the actions of other agents (e.g., humans or other robots).

Essentially, world models give robots a form of common-sense physical reasoning inside realistic environments, drastically improving their planning and decision-making capabilities.