Google's DiffusionGemma generates 256 tokens in parallel

Google released DiffusionGemma, a text model that generates 256 tokens in parallel using diffusion instead of left-to-right token generation. The model can self-correct its output during generation. This approach keeps GPUs saturated during local inference, where standard models leave GPUs idle most of the time.