Observed arrival · 2026-08-26
Physic Measures World Models Against Reality
A research harness and data pipeline for training and evaluating models that must perceive, plan, and act in physical environments.
Field notes
The proposed workflow links multimodal capture to structured trajectories, model training, and closed-loop evaluation rather than treating benchmark scores as the endpoint. Its runtime is intended to span datasets, simulators, and physical systems, with adapters for different models. The page also identifies failure-oriented outputs such as verifiers, failure taxonomies, replay sets, recovery traces, preferences, and targeted curricula, although no public documentation or working interface is shown.
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