Definition
World models are AI systems that learn to simulate or predict the dynamics of environments, enabling planning and reasoning.
Concept: - AI builds internal "mental model" of world - Can simulate consequences of actions - Enables planning without real-world trial - Key for embodied AI and robotics
Applications: - Robotics planning - Autonomous vehicles - Game AI - Scientific simulation - Video generation (implicit)
Research Directions: - Sora as world simulator - JEPA (Yann LeCun's vision) - Model-based RL - Structured world models
Why It Matters: - More sample-efficient learning - Better generalization - Safer exploration - Human-like reasoning
Examples
Sora generating physically plausible videos by implicitly learning how objects interact.
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