This article's point about AI models being "most confident when wrong" really resonates. It reminds me of the early days in finance/banking where a perfectly formatted, confidently presented financial model could still be wildly inaccurate due to flawed assumptions. We can't let AI become a black box of misplaced conviction; rigorous validation and understanding *why* it's confident (or not) is pa