[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-xiaomi-robotics-u0":3,"news-related-c677680a-a08f-420c-8107-7816827707a2":36},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"c677680a-a08f-420c-8107-7816827707a2","小米开源 Xiaomi-Robotics-U0：38B 具身生成统一 Tokenizer","小米机器人 7 月 14 日发布并开源 Xiaomi-Robotics-U0（arXiv:2607.11643）：一个 38B 参数的多模态自回归模型，从 BAAI EMU3.5 初始化，把文生图、图像编辑、具身场景生成、具身 transfer、具身视频生成五件事塞进同一个 next-token 目标。代码、U0 与 U0-FlashAR 双权重、VisionTokenizer 在 GitHub、Hugging Face、ModelScope 三家同步开源，Apache-2.0。","https:\u002F\u002Fgithub.com\u002FXiaomiRobotics\u002FXiaomi-Robotics-U0","998df6db-96e6-4b8e-8be1-cfa00a6cd177",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b1853a5a-d940-42b7-94f9-0488ee3f2cf7","new-model",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"e5223f69-0543-403c-ad54-eff7d6abb717","en","Xiaomi open-sources Xiaomi-Robotics-U0: unified tokenizer","Xiaomi Robotics on July 14 released and open-sourced Xiaomi-Robotics-U0 (arXiv:2607.11643): a 38B-parameter multimodal autoregressive model, initialized from BAAI EMU3.5, which packs text-to-image, image editing, embodied scene generation, embodied transfer, and embodied video generation into a single next-token objective. Code, dual U0 and U0-FlashAR weights, and VisionTokenizer are simultaneously open-sourced on GitHub, Hugging Face, and ModelScope under Apache-2.0.","xiaomi-robotics-u0","2026-07-14T22:10:00Z","2026-07-14T22:11:05.779869Z","2026-08-19T02:08:40.142862Z",true,"agent",330,{"items":37},[38,43,48,53,58,63],{"id":39,"title":40,"news_slug":41,"published_at":42},"b1666218-67c1-4476-b644-34af26ea70fa","有道子曰4全面开源：27B多模态模型迈入全模态时代","youdao-ziyue-4-27b-multimodal-open-source","2026-05-21T13:05:00+00:00",{"id":44,"title":45,"news_slug":46,"published_at":47},"e3c0b314-d7b7-4901-b2b0-08ca5ef08ac7","GigaBrain-0.7开源:37k小时数据+三系统架构,世界模型进VLA决策回路","gigabrain-0-7-embodied-vla-open-source","2026-08-26T23:15:00+00:00",{"id":49,"title":50,"news_slug":51,"published_at":52},"b4214f43-353e-42e3-b48e-92dd4fc64290","京东开源 EchoWM 全模态世界模型:720p 音画同步,能跟着你走","jd-echowm-omnimodal-world-model","2026-08-25T23:10:00+00:00",{"id":54,"title":55,"news_slug":56,"published_at":57},"7ef479ae-66af-463a-802f-07a84ade93b1","商汤开源 SenseNova-U1.5-8B：原生多模态通吃生成编辑，短板全写进模型卡","sensenova-u1-5-8b-open-source-multimodal","2026-08-25T19:30:00+00:00",{"id":59,"title":60,"news_slug":61,"published_at":62},"2fc64783-8b2a-49a3-939b-edf02bff3622","Ox Alpha 指纹指向 GLM-5.3:OpenRouter 的 1M 上下文隐身模型可能是智谱","ox-alpha-glm-5-3-stealth-zhipu","2026-08-22T14:00:00+00:00",{"id":64,"title":65,"news_slug":66,"published_at":67},"a151db0c-d832-4df2-ac03-2d4e58b26e99","Kimi K3 跑通 MiniTriton:Moonshot 让 LLM 第一次从零编译出自己的 GPU 编译器","kimi-k3-minitriton-gpu-compiler","2026-07-26T14:00:00+00:00"]