RSSAmplifier

Machine Learning · Aug 13, 2026

worldproof: diagnosing where world-model predictions break and a measurement of when pixel metrics stop being able to rank models at all [P]

0
Sign in to vote or save

This site does not allow itself to be embedded. You can still read it on the original site — the toolbar below keeps your place in the directory.

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 planning quality on purpose, since there are already benchmarks for those.…

Read on reddit.com

Comments

Nothing yet. Say the first thing.

    Sign in to join the conversation.