Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.

Amid the flood of AI-related announcements at Google’s I/O developer conference Tuesday was a brief demo that, although it didn’t get much stage time, has AI insiders buzzing. Gemini Diffusion, an ...

Last month, along with a comprehensive suite of new AI tools and innovations, Google DeepMind unveiled Gemini Diffusion. This experimental research model uses a diffusion-based approach to generate ...

Looking forward to Deepseek integrating this into their next LLM in a few weeks and cutting costs by half yet again. Not sure how the American AI companies are supposed to ever achieve profit. AI ...

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

Google has unveiled DiffusionGemma, a new experimental AI model that generates text using diffusion rather than the autoregressive approach used by most large language models today. The company says ...