For about a year the diffusion versus autoregressive argument has mostly run on vibes. One camp says next token prediction is a dead end and parallel denoising is the future, the other says diffusion never survives contact with real tasks. Almost nobody was putting the two side by side on the same evals from the same lab. The lab behind it just did exactly that, with a model they pushed out only hours ago, and the honest part is what they compared against. They benchmarked their diffusion mode...