4M-Param Video Model Emerges Physics Rules as a Controllable World Model

Author @mathemagic1an explores whether video models genuinely understand physics through experiments. By setting up a simple physics environment with collisions and wall bounces, they trained an approximately 400万参数 pixel Transformer to predict the next frame at a cost of just 10美元. The study shows that instead of merely performing pixel interpolation or memorizing the training set, the model internally forms representations of physical laws, which can be transformed into an interactive world model.

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2026-07-29 ~ 2026-07-29 · 10 related posts

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