[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-microsoft-seven-homegrown-ai-models-openai-dependence-zh":3,"article-related-microsoft-seven-homegrown-ai-models-openai-dependence-zh":31,"series-model-release-70220ef9-6fc2-4c25-806b-6486422f0178":84},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":30},"70220ef9-6fc2-4c25-806b-6486422f0178","microsoft-seven-homegrown-ai-models-openai-dependence-zh","7 款 Microsoft 自研 AI 模型登場","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fmicrosoft\">Microsoft\u003C\u002Fa> 在 2026 年 6 月 2 日發表 7 款自研 AI \u003Ca href=\"\u002Fnews\u002Fwhy-model-version-lifecycles-are-contracts-zh\">模型\u003C\u002Fa>，目標是降低對 OpenAI 與 \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 的依賴。\u003C\u002Fp>\u003Cp>這批模型在 \u003Ca href=\"https:\u002F\u002Fblogs.microsoft.com\u002F\" target=\"_blank\" rel=\"noopener\">Microsoft\u003C\u002Fa> Build 開發者大會亮相，主打「長期自給自足」。公司說，模型從零打造，會先進入 Copilot、\u003Ca href=\"https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-foundry\u002F\" target=\"_blank\" rel=\"noopener\">Microsoft Foundry\u003C\u002Fa>、Visual Studio \u003Ca href=\"\u002Fnews\u002Fclaude-code-dynamic-workflows-new-primitive-en-zh\">Code\u003C\u002Fa> 與 \u003Ca href=\"\u002Ftag\u002Fgithub-copilot\">GitHub Copilot\u003C\u002Fa> 等產品。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>新模型數量\u003C\u002Ftd>\u003Ctd>7\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Microsoft 對 OpenAI 投資\u003C\u002Ftd>\u003Ctd>130 億美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>對 Anthropic 的投資承諾\u003C\u002Ftd>\u003Ctd>最高 50 億美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>MAI-Code-1-Flash 規模\u003C\u002Ftd>\u003Ctd>50 億參數\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>這次的主角是 \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fai\" target=\"_blank\" rel=\"noopener\">MAI-Thinking-1\u003C\u002Fa>。Microsoft AI 執行長 Mustafa Suleyman 說，它在盲測中追平 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002F\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa> 的 Claude Sonnet 4.6，並在程式基準上打平 Claude Opus 4.6。公司也強調，這個模型沒有靠其他公司模型蒸餾訓練，企業客戶會在意這條資料來源鏈。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780642070020-8fkt.png\" alt=\"7 款 Microsoft 自研 AI 模型登場\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>另一個重點是 \u003Ca href=\"https:\u002F\u002Fcode.visualstudio.com\u002F\" target=\"_blank\" rel=\"noopener\">Visual Studio Code\u003C\u002Fa> 與 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot\" target=\"_blank\" rel=\"noopener\">GitHub Copilot\u003C\u002Fa> 內的 MAI-Code-1-Flash。它是 50 億參數的寫碼模型，已開始部署到開發工具裡。對日常寫程式的人來說，這代表 Microsoft 不只是在賣雲端算力，也在把自己的模型直接塞進工作流。\u003C\u002Fp>\u003Cp>同場還有 MAI-Image-2.5 等模型，涵蓋影像、語音、轉錄、寫碼與推理。Microsoft 表示，這 7 款模型會分工使用，而不是一個模型包打天下。這種做法更像產品線布局，也更方便依任務、成本與延遲做切換。\u003C\u002Fp>\u003Cul>\u003Cli>MAI-Thinking-1 已在 Microsoft Foundry 開放私有預覽。\u003C\u002Fli>\u003Cli>Microsoft Foundry 目前也托管 OpenAI 與 Anthropic 的模型。\u003C\u002Fli>\u003Cli>MAI-Code-1-Flash 正在進入開發者工具。\u003C\u002Fli>\u003Cli>這批模型強調是從零訓練，不走外部蒸餾路線。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>這是 Microsoft 對供應鏈風險的直接對沖。它對 OpenAI 的累計投資已達 130 \u003Ca href=\"\u002Fnews\u002Fmistral-ai-14b-valuation-open-weight-models-zh\">億美元\u003C\u002Fa>，但合作關係越深，議價空間就越容易被外部變化影響；Anthropic 也同時獲得 Google 與 Amazon 支持，AI 夥伴關係早就不是單線條。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780642071109-hhd0.png\" alt=\"7 款 Microsoft 自研 AI 模型登場\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對開發者來說，最實際的變化是選項變多，但平台控制權更集中在 Microsoft 手上。若自研模型能在 \u003Ca href=\"\u002Ftag\u002Fcopilot\">Copilot\u003C\u002Fa>、Foundry 與 \u003Ca href=\"\u002Ftag\u002Fvs-code\">VS Code\u003C\u002Fa> 裡穩定運作，企業就能少受外部授權、價格調整與可用性波動影響，整合也會更順。\u003C\u002Fp>\u003Cp>更大的訊號是，Microsoft 沒有要退出外部模型生態，而是在建立備援。當合作夥伴彼此也在結盟、競爭與交叉投資時，誰能把模型、雲端與開發工具綁成一條線，誰就更有主導權。\u003C\u002Fp>\u003Cp>問題只剩一個：當 Microsoft 自己也有足夠強的模型時，OpenAI 在它的產品版圖裡，還會保留多少不可替代性？\u003C\u002Fp>","Microsoft 在 Build 2026 推出 7 款自研 AI 模型，涵蓋推理、寫碼、影像與語音，目標是降低對 OpenAI 與 Anthropic 的依賴。","www.geekwire.com","https:\u002F\u002Fwww.geekwire.com\u002F2026\u002Fmicrosoft-unveils-seven-homegrown-ai-models-in-bid-for-long-term-self-sufficiency\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780642070020-8fkt.png","model-release","zh","9d05354a-def7-4387-815f-363ef1feead7",[17,18,19,20,21,22],"Microsoft","OpenAI","Anthropic","AI models","Copilot","Build 2026",[24,25,26],"Microsoft 一口氣推出 7 款自研 AI 模型，明確要降低對外部模型供應商的依賴。","MAI-Thinking-1 和 MAI-Code-1-Flash 會先進入 Foundry、VS Code、GitHub Copilot 等核心產品。","這波動作反映 AI 供應鏈正在重組，模型、雲端與開發工具的控制權變得更重要。",0,"2026-06-05T06:47:22.990551+00:00","2026-06-05T06:47:22.978+00:00","0ccb5d2e-69f1-4354-a3e0-cb370221cd95",{"tags":32,"relatedLang":43,"relatedPosts":47},[33,35,37,39,41],{"name":17,"slug":34},"microsoft",{"name":18,"slug":36},"openai",{"name":19,"slug":38},"anthropic",{"name":20,"slug":40},"ai-models",{"name":21,"slug":42},"copilot",{"id":15,"slug":44,"title":45,"language":46},"microsoft-seven-homegrown-ai-models-openai-dependence-en","7 Microsoft AI models aim to cut OpenAI dependence","en",[48,54,60,66,72,78],{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"003f59ba-8d5a-40cb-8e6b-0b51898bc537","midjourney-21-second-video-model-closed-ai-wrong-deal-zh","為什麼 Midjourney 的 21 秒影片模型證明封閉式 AI 是錯的交易","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780648396657-oa18.png","2026-06-05T08:32:37.400103+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":13},"b5889da8-fa42-44ed-89a7-3347655b388d","microsoft-seven-ai-models-openai-anthropic-build-2026-zh","7 款 Microsoft AI 模型登場","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780642975404-f8mr.png","2026-06-05T07:02:23.607092+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":13},"b5926931-ce20-4b9d-8814-a3c960187209","what-we-know-about-gpt-56-release-date-zh","GPT-5.6 何時發布？目前線索整理","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780574585815-dzo7.png","2026-06-04T12:02:35.122398+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"1985ce38-03c6-4968-96fa-b751553bbef3","why-claude-opus-48-is-not-the-big-story-zh","為什麼 Claude Opus 4.8 不是大新聞","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780531367297-nrfs.png","2026-06-04T00:02:24.633987+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":13},"8810b91a-9aa2-4cd6-a58b-18fad5897423","devin-booker-sedona-mcdonalds-shoe-launch-zh","Booker把Sedona麥當勞變鞋款發表場","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780510686292-fm1k.png","2026-06-03T18:17:31.966783+00:00",{"id":79,"slug":80,"title":81,"cover_image":82,"image_url":82,"created_at":83,"category":13},"d4d7e664-cc7f-4211-a733-b7c111b86bd6","best-open-source-llms-2026-ranked-zh","2026 最佳開源 LLM 排名","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780396385004-yyka.png","2026-06-02T10:32:37.264398+00:00",[85,90,95,100,105,110,115,120,125,130],{"id":86,"slug":87,"title":88,"created_at":89},"58b64033-7eb6-49b9-9aab-01cf8ae1b2f2","nvidia-rubin-six-chips-one-ai-supercomputer-zh","NVIDIA Rubin 把六顆晶片塞進 AI 機櫃","2026-03-26T07:18:45.861277+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"0dcc2c61-c2a6-480d-adb8-dd225fc68914","march-2026-ai-model-news-what-mattered-zh","2026 年 3 月 AI 模型新聞重點","2026-03-26T07:32:08.386348+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"214ab08b-5ce5-4b5c-8b72-47619d8675dd","why-small-models-are-winning-on-device-ai-zh","小模型為何吃下裝置端 AI","2026-03-26T07:36:30.488966+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"785624b2-0355-4b82-adc3-de5e45eecd88","midjourney-v8-faster-images-higher-costs-zh","Midjourney V8 變快了，也變貴了","2026-03-26T07:52:03.562971+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"cda76b92-d209-4134-86c1-a60f5bc7b128","xiaomi-mimo-trio-agents-robots-voice-zh","小米 MiMo 三模型瞄準代理、機器人與語音","2026-03-28T03:05:08.779489+00:00",{"id":111,"slug":112,"title":113,"created_at":114},"9e1044b4-946d-47fe-9e2a-c2ee032e1164","xiaomi-mimo-v2-pro-1t-moe-agents-zh","小米 MiMo-V2-Pro 登場：1T MoE 模型","2026-03-28T03:06:19.002353+00:00",{"id":116,"slug":117,"title":118,"created_at":119},"c4b6186f-bd84-4598-997e-c6e31d543c0d","cursor-composer-2-agentic-coding-model-zh","Cursor Composer 2 走向代理式寫碼","2026-03-28T03:13:06.422716+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"e112e76f-ec3b-408f-810e-e93ae21a888a","apple-siri-gemini-distilled-models-zh","Apple Siri 牽手 Gemini 的真相","2026-03-29T04:52:57.886544+00:00",{"id":126,"slug":127,"title":128,"created_at":129},"c679b51f-194a-463b-87fc-7695256ff752","mimo-v2-pro-vs-omni-vs-flash-2026-zh","MiMo V2 Pro、Omni、Flash 怎麼選","2026-04-02T01:18:43.576128+00:00",{"id":131,"slug":132,"title":133,"created_at":134},"3b988fd7-6749-4f01-ba25-c0ad7486dc31","z-ai-glm-5v-turbo-design2code-claude-zh","GLM-5V-Turbo 在 Design2Code 贏了…","2026-04-02T04:03:36.31741+00:00"]