r/MachineLearning
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worldproof: diagnosing where world-model predictions break and a measurement of when pixel metrics stop being able to rank models at all [P]
I've been building an open-source tool for diagnosing world models, the kind that predict future frames from a starting context and a sequence of actions. It compares a rollout against ground truth and against physical invariants, then tells you where and why the prediction falls apart. It doesn't score task success or