Is a good-looking generated video a world model?
WorldFoundry: Towards Unified Infrastructure for World Intelligence
A paper that gives a functional definition of world models and an open-source infrastructure to run and evaluate very different models and benchmarks in the same way.
Highlights
🎯 Closure, not looks, is the dividing line
An intervention must leave a trace in the state that constrains later predictions, and new observations must revise that state. The authors argue this operational persistence is what separates foundation generative models from world models.
🧩 Three operations to organize systems
State inference, forward simulation, and interactive response describe any world-model-like system. No system has to implement all three; it is an interface for comparing video, 3D/4D, and embodied models on one scale.
🔧 Evidence-aware scorecards
Declared support, operational readiness, and validated performance are recorded separately. It integrates 270 models and 74 benchmarks (the abstract's counts), but validation confirms that things run, not which model is better.
Unglamorous evaluation infrastructure could matter a lot for world-model research.
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WorldModels# #
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