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

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

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

Designers, filmmakers, and game developers can now type a single sentence and receive a photorealistic image, a short ...

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...

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

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

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

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

What if the future of text generation wasn’t just faster, but smarter and more adaptable? Enter Gemini Diffusion, a new approach that challenges the long-standing dominance of autoregressive models.

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using ...