Westlake AGI Lab's Code World Model splits world rules (code) from video rendering
jiqizhixin · x · 2026-09-13
Westlake University's AGI Lab introduces Code World Model, addressing a key flaw in video-based training: video records the visible result of world evolution but not the rules and mechanisms producing it. Models must reverse-engineer collision, attack ranges, faction relations, and quest state from sparse visual consequences, while long-timescale changes happen off-camera—scaling video training adds seen results, not the white-box mechanics.
The method splits "how the world evolves" from "how the world is seen": a coding agent decides world evolution, code keeps rules executing persistently, and a video model converts the evolved state into high-fidelity visual observations.
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