Episode
DiffusionGemma: How Google's Open Text Diffusion Model Writes in Parallel and Gives Autoregression Its First Real Rival - June 26, 2026
- Published
- Jun 26, 2026
- Duration seconds
- 731
- Processing state
not_requested
Actions
POST https://stenobird.com/v1/public/podcasts/dx-today-no-hype-podcast-news-about-ai-dx-6434212/episodes/diffusiongemma-how-google-s-open-text-diffusion-model-writes-in-parallel-and-gives-autoregression-its-first-real-rival-june-26-2026/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/dx-today-no-hype-podcast-news-about-ai-dx-6434212/diffusiongemma-how-google-s-open-text-diffusion-model-writes-in-parallel-and-gives-autoregression-its-first-real-rival-june-26-2026.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
Send us Fan Mail DiffusionGemma: How Google's Open Text Diffusion Model Writes in Parallel and Gives Autoregression Its First Real Rival Chris and Laura dig into Google DeepMind's DiffusionGemma, an open weights, twenty six billion parameter mixture of experts model that abandons token by token generation and instead denoises whole blocks of text in parallel for up to four times faster output. They unpack how text diffusion works, the eye opening speed numbers on consumer hardware, why Googl...