World models explained: 3 approaches from LeCun, Hassabis, and Li Fei-Fei
TheTuringPost · x · 2026-09-01
TheTuringPost clarifies the overloaded term "world model" as discussed by LeCun, Hassabis, and Li Fei-Fei, identifying three broad ideas:
- Predicting future observations: Pixels or frames, like generative video models.
- Predicting future representations: How compressed representations change, as in JEPA-style approaches.
- Predicting what matters for decisions: Only what's needed to choose a good action, like MuZero.
In this sense, "world model" is more of a job description—predicting the consequences of actions—than a specific blueprint. The real test is intervention: changing color, friction, or mass to see if the model holds up.
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