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.

Google has launched DiffusionGemma, an experimental open model that generates text up to four times faster than traditional large language models. Built to self correct in real time and available ...

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.

Most local LLMs feel predictable now. You download a model, point a runtime at it, ask a question, and then watch text move across the screen one token at a time. The ...

Google LLC today released DiffusionGemma, a large language model based on an emerging machine learning approach known as text diffusion. The company says the algorithm can generate text four times ...

DiffusionGemma writes a whole chunk of text in one go and then keeps polishing it rather than building it word by word. Google says it can be up to 4x faster, hitting 1,000+ tokens per second on ...

Google DeepMind released DiffusionGemma on June 10, 2026, an experimental open-weights model that writes text using discrete diffusion rather than the token-by-token method behind GPT-style systems, ...