Latent prediction error does not always indicate physical surprise
Original title: When Does Latent Prediction Error Support Physical Surprise Claims in Video World Models?
Framework separates physical surprise from appearance and motion in video models
Prediction errors from video world models often reflect appearance or static content rather than physical surprise. Evaluation on IntPhys2 benchmark compares latent representations and shows V-JEPA2 provides modest physical possibility information. Impossible events can produce lower error than possible ones in simulation frameworks.
- Appearance remains easy to decode
- Incorrect actions raise prediction error
- Fixed threshold incorrectly flags possible events
- AI models
- V-JEPA2
From the original article
1 min read at huggingface.co
Prediction errors from video world models are often treated as physical surprise, but they can also reflect appearance, static content, motion, or ordinary prediction difficulty. We present an evaluation framework that separates what frozen representations contain, how they organize appearance and physical differences, and what changes a model's own prediction error.
By Anton Hristov, Aleksandar Slavov, Vasil Vasilev · huggingface.co
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