Generative Vision Interview Questions #11 - The Concatenation Trap

Why feeding timesteps as extra tokens silently burns quadratic compute, and how adaptive modulation retunes your entire diffusion block for free.

You’re in a Senior AI Engineer interview at OpenAI and the interviewer asks:

“You’re building a diffusion transformer. How do you inject the timestep and class condition into each block, and why?”