Generative Vision Interview Questions #25 - The Diminishing Reflow Trap

Why "photocopying a photocopy" silently corrupts your training pairs, and how replacing extra reflows with feature-space distillation saves your sampling quality.

You’re in a Generative AI Research Engineer interview at Black Forest Labs and the interviewer asks:

“Your first reflow pass straightened your sampling trajectories and let you drop steps. So you ran three more reflow iterations chasing single-step generation, and your FID quietly got worse. Why?”

Don’t say: “More reflow = straighter paths = fewer Euler s…