Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...

DiffusionGemma hits 1,000 tokens per second by ditching word-by-word generation entirely. It just doesn't run on most ...

The boffins on Google’s DeepMind team unveiled an experimental new language model this week that uses techniques originally ...

Most AI models are designed to be autoregressive—they generate text left to right one token at a time. DiffusionGemma has ...

Google releases DiffusionGemma, a 26B experimental open model delivering 4x faster text generation using diffusion.

Google has introduced DiffusionGemma, an experimental open-weight AI model that explores diffusion-based text generation.

Google has unveiled DiffusionGemma, a new experimental AI model that generates text using diffusion ...

Google DeepMind released DiffusionGemma on June 10, 2026, an experimental open-weights model that writes text using discrete ...

DiffusionGemma generates text up to 4x faster than traditional models by producing entire blocks simultaneously, achieving ...

Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...