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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

Both models trade word-by-word generation for parallel denoising. Only one of them does it without losing intelligence in the ...

Explore the leaked benchmarks of Gemini 3.5 Pro, highlighting Google's challenges in coding and reasoning compared to top AI ...

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

Google recently released DiffusionGemma, and it's weird in the best way.

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

Google’s Diffusion Gemma introduces a bold shift in AI language modeling by adopting a diffusion-based architecture that processes tokens in parallel, rather than sequentially. As explained by Prompt ...

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

Cursor, a San Francisco AI coding platform from startup Anysphere valued at $29.3 billion, has launched Composer 2, a new fine-tuned variant of Chinese open source model Kimi K2.5 now available inside ...

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