[{"data":1,"prerenderedAt":645},["ShallowReactive",2],{"page-/post/nezus/2026/06/google-4":3,"pages-grouped-only":166,"surrounding-page":640},{"id":4,"title":5,"author":6,"body":7,"date":155,"description":13,"extension":156,"group":157,"lastmod":158,"meta":159,"navigation":160,"path":161,"rawbody":162,"seo":163,"showTitle":158,"sort":158,"stem":164,"tags":158,"versions":158,"__hash__":165},"content/post/nezus/2026/06/google-4.md","Google 开源 4 倍速扩散模型：自回归的黄昏？","user",{"type":8,"value":9,"toc":147},"minimark",[10,14,17,21,24,40,43,46,49,52,55,58,74,78,81,84,87,98,101,112,116,119,122,125,128,131],[11,12,13],"p",{},"每次前向生成 256 个 token ，速度是自回归的 4 倍。",[11,15,16],{},"这不是论文里的假设，是 Google DeepMind 刚刚开源的 DiffusionGemma——一个真正能跑的扩散文本模型。",[18,19,20],"h2",{"id":20},"数字说话",[11,22,23],{},"先看硬指标：",[25,26,27,31,34,37],"ul",{},[28,29,30],"li",{},"26B 参数的 MoE 架构，推理时只激活 3.8B",[28,32,33],{},"量化后 18GB 显存就能跑，消费级 GPU 友好",[28,35,36],{},"H100 上 1000+ tokens/s ， RTX 5090 上 700+ tokens/s",[28,38,39],{},"速度比同级别自回归模型快 4 倍",[11,41,42],{},"这意味着什么？意味着你可以在一台游戏 PC 上，以每秒 700 个 token 的速度生成文本。",[18,44,45],{"id":45},"扩散模型的文本革命",[11,47,48],{},"扩散模型在图像生成领域已经证明了威力——Stable Diffusion、Midjourney 都是基于这个范式。",[11,50,51],{},"但在文本生成领域，自回归一直是绝对主流。GPT、Claude、Gemini、Llama ，本质上都是\"一个 token 一个 token 往外蹦\"。",[11,53,54],{},"DiffusionGemma 打破了这个范式。它不是一次生成一个 token ，而是每次前向并行生成 256 个 token。",[11,56,57],{},"这带来了两个关键优势：",[59,60,61,68],"ol",{},[28,62,63,67],{},[64,65,66],"strong",{},"速度","：并行生成， 4 倍提速",[28,69,70,73],{},[64,71,72],{},"双向注意力","：具备自我修正能力，可以做内联编辑、代码填充等交互工作流",[18,75,77],{"id":76},"本地-ai-的曙光","本地 AI 的曙光",[11,79,80],{},"18GB 显存， 700+ tokens/s ， Apache 2.0 开源。",[11,82,83],{},"这三个条件凑在一起，意味着本地部署高性能文本 AI 不再是梦想。",[11,85,86],{},"对于开发者来说，这意味着：",[25,88,89,92,95],{},[28,90,91],{},"不需要 API key ，不需要网络，本地就能跑",[28,93,94],{},"延迟极低，适合实时交互场景",[28,96,97],{},"可以微调，可以部署到边缘设备",[11,99,100],{},"对于行业来说，这意味着：",[25,102,103,106,109],{},[28,104,105],{},"云端 API 不再是唯一选择",[28,107,108],{},"隐私敏感场景有了新的解决方案",[28,110,111],{},"AI 本地化的门槛大幅降低",[18,113,115],{"id":114},"自回归的黄昏","自回归的黄昏？",[11,117,118],{},"DiffusionGemma 不是要取代自回归，但它证明了扩散模型在文本生成领域同样有竞争力。",[11,120,121],{},"当 4 倍速、消费级 GPU 可跑、开源的扩散文本模型出现时，自回归的\"唯一性\"开始动摇。",[11,123,124],{},"这不是技术的终点，而是范式竞争的起点。",[11,126,127],{},"接下来要看的是：扩散模型在长文本生成、逻辑推理、多轮对话上的表现如何？能不能追上自回归的成熟度？",[11,129,130],{},"但至少现在，我们有了一个真正的选择。",[11,132,133,136,137,140,141,140,144],{},[64,134,135],{},"封面高亮关键词",": ",[64,138,139],{},"4 倍速扩散",", ",[64,142,143],{},"DiffusionGemma",[64,145,146],{},"本地 AI",{"title":148,"searchDepth":149,"depth":149,"links":150},"",2,[151,152,153,154],{"id":20,"depth":149,"text":20},{"id":45,"depth":149,"text":45},{"id":76,"depth":149,"text":77},{"id":114,"depth":149,"text":115},"2026-06-11T00:00:00.000Z","md","#202606AI资讯",null,{},true,"/post/nezus/2026/06/google-4","---\ntitle: \"Google 开源 4 倍速扩散模型：自回归的黄昏？\"\ndate: 2026-06-11\ngroup: \"#202606AI资讯\"\ndescription: \"每次前向生成 256 个 token ，速度是自回归的 4 倍。\"\nauthor: user\n---\n\n\n每次前向生成 256 个 token ，速度是自回归的 4 倍。\n\n这不是论文里的假设，是 Google DeepMind 刚刚开源的 DiffusionGemma——一个真正能跑的扩散文本模型。\n\n## 数字说话\n\n先看硬指标：\n\n- 26B 参数的 MoE 架构，推理时只激活 3.8B\n- 量化后 18GB 显存就能跑，消费级 GPU 友好\n- H100 上 1000+ tokens/s ， RTX 5090 上 700+ tokens/s\n- 速度比同级别自回归模型快 4 倍\n\n这意味着什么？意味着你可以在一台游戏 PC 上，以每秒 700 个 token 的速度生成文本。\n\n## 扩散模型的文本革命\n\n扩散模型在图像生成领域已经证明了威力——Stable Diffusion、Midjourney 都是基于这个范式。\n\n但在文本生成领域，自回归一直是绝对主流。GPT、Claude、Gemini、Llama ，本质上都是\"一个 token 一个 token 往外蹦\"。\n\nDiffusionGemma 打破了这个范式。它不是一次生成一个 token ，而是每次前向并行生成 256 个 token。\n\n这带来了两个关键优势：\n1. **速度**：并行生成， 4 倍提速\n2. **双向注意力**：具备自我修正能力，可以做内联编辑、代码填充等交互工作流\n\n## 本地 AI 的曙光\n\n18GB 显存， 700+ tokens/s ， Apache 2.0 开源。\n\n这三个条件凑在一起，意味着本地部署高性能文本 AI 不再是梦想。\n\n对于开发者来说，这意味着：\n- 不需要 API key ，不需要网络，本地就能跑\n- 延迟极低，适合实时交互场景\n- 可以微调，可以部署到边缘设备\n\n对于行业来说，这意味着：\n- 云端 API 不再是唯一选择\n- 隐私敏感场景有了新的解决方案\n- AI 本地化的门槛大幅降低\n\n## 自回归的黄昏？\n\nDiffusionGemma 不是要取代自回归，但它证明了扩散模型在文本生成领域同样有竞争力。\n\n当 4 倍速、消费级 GPU 可跑、开源的扩散文本模型出现时，自回归的\"唯一性\"开始动摇。\n\n这不是技术的终点，而是范式竞争的起点。\n\n接下来要看的是：扩散模型在长文本生成、逻辑推理、多轮对话上的表现如何？能不能追上自回归的成熟度？\n\n但至少现在，我们有了一个真正的选择。\n\n\n**封面高亮关键词**: **4 倍速扩散**, **DiffusionGemma**, **本地 AI**",{"title":5,"description":13},"post/nezus/2026/06/google-4","mr39x0oA43nvm7USmnxG8CE-AEfWYXuuh8tSsexY_og",[167,174,178,182,186,191,194,198,202,206,210,215,219,223,227,231,235,240,245,249,253,257,261,266,270,274,283,288,292,296,301,305,309,313,317,322,327,332,336,340,344,349,353,357,362,366,370,374,378,383,387,392,396,400,404,409,413,417,422,426,430,434,438,443,447,451,456,460,464,469,473,477,481,485,489,494,498,502,506,511,515,519,523,528,532,536,540,544,548,552,553,557,561,566,570,577,583,588,593,598,603,608,613,618,623,628,634],{"id":168,"path":169,"title":170,"date":171,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/2026-7-16.md","/post/nezus/2026/07/2026-7-16","2026年7月16日下午，台积电法说会上传出一个数字，让全球半导体圈炸了锅。","2026-07-17T00:00:00.000Z","#202607AI资讯","storytelling",{"id":175,"path":176,"title":177,"date":171,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/anthropic-ai.md","/post/nezus/2026/07/anthropic-ai","一个周末干掉四年：Anthropic 用 AI 两周搬完百万行代码，工程师沉默了",{"id":179,"path":180,"title":181,"date":171,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/google-20.md","/post/nezus/2026/07/google-20","欧盟一纸裁决，Google 20年护城河被撕开第一道口子",{"id":183,"path":184,"title":185,"date":171,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/xai-grok.md","/post/nezus/2026/07/xai-grok","xAI给Grok装上定时任务能力",{"id":187,"path":188,"title":189,"date":190,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/apple.md","/post/nezus/2026/07/apple","Apple智能落地中国，阿里千问成幕后赢家","2026-07-16T00:00:00.000Z",{"id":192,"path":193,"title":189,"date":190,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/deepmind.md","/post/nezus/2026/07/deepmind",{"id":195,"path":196,"title":197,"date":190,"tags":158,"group":172,"lastmod":158,"author":6,"sort":158},"content/post/nezus/2026/07/gpt-vibe-coding-paste.md","/post/nezus/2026/07/gpt-vibe-coding-paste","用GPT Vibe Coding一个常用付费软件：Paste",{"id":199,"path":200,"title":201,"date":190,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/grok-build-agent.md","/post/nezus/2026/07/grok-build-agent","马斯克开源Grok Build，编程Agent进入白嫖时代",{"id":203,"path":204,"title":205,"date":190,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/openai-ai.md","/post/nezus/2026/07/openai-ai","OpenAI造了个AI黑客，专攻自家模型",{"id":207,"path":208,"title":209,"date":190,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/wps-comate-copilot.md","/post/nezus/2026/07/wps-comate-copilot","金山办公掏出WPS Comate，正面硬刚微软Copilot",{"id":211,"path":212,"title":213,"date":214,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/295b.md","/post/nezus/2026/07/295b","腾讯把295B大模型塞进了单张显卡","2026-07-15T00:00:00.000Z",{"id":216,"path":217,"title":218,"date":214,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/git-cursor.md","/post/nezus/2026/07/git-cursor","打开一个Git仓库Cursor就自动执行了恶意代码",{"id":220,"path":221,"title":222,"date":214,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/gpt-5-6-mac.md","/post/nezus/2026/07/gpt-5-6-mac","GPT-5.6偷偷删光了我的Mac文件",{"id":224,"path":225,"title":226,"date":214,"tags":158,"group":172,"lastmod":158,"author":6,"sort":158},"content/post/nezus/2026/07/grok-cli-xai.md","/post/nezus/2026/07/grok-cli-xai","Grok CLI 偷传代码：xAI 把你的仓库打包上传了",{"id":228,"path":229,"title":226,"date":230,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/grok-cli-bug-done-xai.md","/post/nezus/2026/07/grok-cli-bug-done-xai","2026-07-14T00:00:00.000Z",{"id":232,"path":233,"title":234,"date":230,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/seedream-5-0-ai.md","/post/nezus/2026/07/seedream-5-0-ai","字节跳动Seedream 5.0：圈一下图片就改了，AI修图进入点选时代",{"id":236,"path":237,"title":238,"date":239,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/post-20260712-ddc9a8.md","/post/nezus/2026/07/post-20260712-ddc9a8","欧盟强推Chat Control 2.0：加密通信的生死时刻","2026-07-12T00:00:00.000Z",{"id":241,"path":242,"title":243,"date":244,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/ai-1-5.md","/post/nezus/2026/07/ai-1-5","AI烧了1.5万亿，能赚回来吗","2026-07-10T00:00:00.000Z",{"id":246,"path":247,"title":248,"date":244,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/ai.md","/post/nezus/2026/07/ai","你刷到的帖子可能全是AI写的",{"id":250,"path":251,"title":252,"date":244,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/chatgpt-openai.md","/post/nezus/2026/07/chatgpt-openai","ChatGPT学会自己干活了",{"id":254,"path":255,"title":256,"date":244,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/musk-anthropic-apology.md","/post/nezus/2026/07/musk-anthropic-apology","马斯克向Anthropic低头认错",{"id":258,"path":259,"title":260,"date":244,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/optimus.md","/post/nezus/2026/07/optimus","马斯克：Optimus不达标就开除团队",{"id":262,"path":263,"title":264,"date":265,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/anthropic-github.md","/post/nezus/2026/07/anthropic-github","Anthropic 花了一年打造的\"设计师灵魂\"，被一个 GitHub 仓库扒光了","2026-07-08T00:00:00.000Z",{"id":267,"path":268,"title":269,"date":265,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/meta-muse-image-video.md","/post/nezus/2026/07/meta-muse-image-video","扎克伯格掏出\"超级智能实验室\"第一张牌：30亿用户的社交数据，终于杀进了AI生图战场",{"id":271,"path":272,"title":273,"date":265,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/ms-mai-copilot.md","/post/nezus/2026/07/ms-mai-copilot","微软悄悄把OpenAI踢出局：Copilot正在用自研模型\"省钱\"，但你花的钱一分不少",{"id":275,"path":276,"title":277,"date":265,"tags":278,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/yc-ceo-37k-ai-code-bloat.md","/post/nezus/2026/07/yc-ceo-37k-ai-code-bloat","每天部署37000行代码，YC CEO的\"AI神迹\"被一个波兰程序员扒光了",[279,280,281,282],"AI","代码质量","YC","Garry 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Agent自主完成全球首例勒索攻击","2026-07-04T00:00:00.000Z",{"id":302,"path":303,"title":304,"date":300,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/ai-agent.md","/post/nezus/2026/07/ai-agent","万亿砸下去，AI Agent 还是没跑起来",{"id":306,"path":307,"title":308,"date":300,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/ai-ai.md","/post/nezus/2026/07/ai-ai","AI的身份证来了：网信办首次为AI服务设立专章",{"id":310,"path":311,"title":312,"date":300,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/anthropic-steganography-china.md","/post/nezus/2026/07/anthropic-steganography-china","Anthropic用隐写术识别中国用户：口口声声说AI安全的公司，背地里给你的代码下毒",{"id":314,"path":315,"title":316,"date":300,"tags":158,"group":172,"lastmod":158,"author":173,"sort":158},"content/post/nezus/2026/07/nvidia-rubin-ultra-cancelled.md","/post/nezus/2026/07/nvidia-rubin-ultra-cancelled","NVIDIA Rubin 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