Google DeepMind 发布了 DiffusionGemma，这是一个实验性的开放模型，它以并行块而非逐个 token 的方式生成文本。这种新颖的方法在专用 GPU 上可实现高达四倍的输出速度，从而能够进行实时自我纠正和复杂的格式设置。该模型基于 Gemma 4 架构，采用具有 260 亿参数的专家混合（Mixture of Experts）设计，在推理过程中激活约 38 亿参数。 AI
影响 通过实现并行处理和自我纠正来加速文本生成任务，可能影响内容创作和复杂数据分析。
排序理由 前沿实验室模型发布，附带系统卡。
AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →
Find out more → https://t.co/YKGiotLVZh https://t.co/1xf06Z1Ny5
DiffusionGemma is our new experimental open model with up to 4x faster output on dedicated GPUs. Instead of predicting word-by-word, it generates entire blocks of text simultaneously. This lets the model self-correct and format complex markdown in real time. https://t.co/S62OSbf…
Diffusion AI is most common in image generation, but it can make text outputs much faster.
Google's latest DiffusionGemma open AI model comes with a 4x speed boost https://arstechnica.com/google/2026/06/googles-latest-diffusiongemma-open-ai-model-comes-with-a-4x-speed-boost/ # AI # Tech # OpenSource
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1u27fga/google_releases_diffusiongemma_new_experimental/"> <img alt="Google releases DiffusionGemma, new experimental open model with up to 4x faster output on dedicated GPUs" src="https://external-preview.re…