What Makes a Good World Model: Predicting the Unseen
ziv_ravid · x · 2026-07-04
The author clarifies what a "good world model" entails: beyond accurate perception, it must predict "what's likely there" when inputs are missing. For instance, asked about an unseen kitchen, it must hallucinate what's next to the oven (a fridge, counter, or cabinets). This prior-based completion is a feature of world models, not a mere failure.
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