[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-microsoft-365-copilot-cowork-claude-partnership-zh":3,"tags-microsoft-365-copilot-cowork-claude-partnership-zh":35,"related-lang-microsoft-365-copilot-cowork-claude-partnership-zh":51,"related-posts-microsoft-365-copilot-cowork-claude-partnership-zh":55,"series-ai-agent-fac79d39-f8d7-4936-8079-fcb9c297e313":92},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":23,"translated_content":10,"views":24,"is_premium":25,"created_at":26,"updated_at":26,"cover_image":11,"published_at":27,"rewrite_status":28,"rewrite_error":10,"rewritten_from_id":29,"slug":30,"category":31,"related_article_id":32,"status":33,"google_indexed_at":34,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":25},"fac79d39-f8d7-4936-8079-fcb9c297e313","Microsoft 365 把 Copilot 推向執行層","\u003Cp>Microsoft 365 正在改寫 Copilot 的定位。它不想只當聊天助理，而是要直接做事。這次還把 \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fmicrosoft-365\" target=\"_blank\" rel=\"noopener\">Microsoft 365\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fmicrosoft-365\u002Fcopilot\" target=\"_blank\" rel=\"noopener\">Copilot\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fopenai.com\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> 拉進同一個工作流。背後還有一筆傳出高達 300 \u003Ca href=\"\u002Fnews\u002Fdrift-280m-exploit-governance-controls-zh\">億美元\u003C\u002Fa>的 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa> 合作案，這數字真的很硬。\u003C\u002Fp>\u003Cp>更誇張的是規模。Microsoft 提到，商用 Microsoft 365 客戶大約有 4.5 億人。這不是小規模試驗。只要其中一小部分真的開始用 agentic workflow，辦公軟體市場的玩法就會變。\u003C\u002Fp>\u003Cp>講白了，這次不是在比誰回話比較像人。是看誰能把會議、簡報、信件、排程，真的串成一條可執行的流程。這才是企業願意掏錢的地方。\u003C\u002Fp>\u003Ch2>Copilot Cowork 不是聊天，是接手工作\u003C\u002Fh2>\u003Cp>Microsoft 這次主打的名字是 \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fai\" target=\"_blank\" rel=\"noopener\">Frontier program\u003C\u002Fa> 底下的 Copilot Cowork。它的核心概念很直接，就是把 Copilot 從「幫你寫」推到「幫你做」。這種轉法很務實，也很 Microsoft。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775304230592-esm8.png\" alt=\"Microsoft 365 把 Copilot 推向執行層\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>它用 \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fmicrosoft-365\u002Fenterprise\u002Fwork-iq\" target=\"_blank\" rel=\"noopener\">Work IQ\u003C\u002Fa> 去抓 Outlook、Teams 之類的訊號。意思是，它不是每次都要你手把手下指令。它會看脈絡，再決定下一步要做什麼。\u003C\u002Fp>\u003Cp>這件事重要在於，舊式 ass\u003Ca href=\"\u002Fnews\u002Fdistsim-distributed-systems-on-your-laptop-zh\">ist\u003C\u002Fa>ant 模式有天花板。它能寫草稿、做摘要、分類資料。可是你還是得自己把整個工作串起來。Cowork 想吃掉的，就是那段最煩的中間流程。\u003C\u002Fp>\u003Cp>像是做簡報、跑競品分析、處理排程。這些事單看都不難。真的做起來，常常卡在跨 App 切換、資料對齊、來回確認。說真的，這些才是辦公室最耗時間的垃圾工。\u003C\u002Fp>\u003Cul>\u003Cli>Copilot Cowork 直接跑在 Microsoft 365 裡。\u003C\u002Fli>\u003Cli>Work IQ 會讀取 Outlook 和 Teams 的脈絡。\u003C\u002Fli>\u003Cli>Microsoft 說它能做簡報和競品分析。\u003C\u002Fli>\u003Cli>資料與動作都留在 365 環境內。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Anthropic 讓 Microsoft 不必只押一個模型\u003C\u002Fh2>\u003Cp>這次把 \u003Ca href=\"\u002Fnews\u002Fclaudes-c-compiler-benchmarks-analysis-zh\">Clau\u003C\u002Fa>de 拉進來，代表 Microsoft 走的是多模型策略。這很合理。不同模型擅長的事本來就不一樣。企業平台如果只押單一模型，風險太高了。\u003C\u002Fp>\u003Cp>現在的訊號很清楚。Microsoft 把 Claude 當成 sub-processor，和 OpenAI 模型並列使用。這代表它想把 AI 堆疊做成一個可管理系統，而不是一個單純的聊天框。\u003C\u002Fp>\u003Cp>對企業來說，這種設計比較好談。採購部門不愛黑盒子。法務和資安也不愛。你如果能說清楚模型來源、權限邊界、稽核紀錄，導入阻力就會小很多。\u003C\u002Fp>\u003Cblockquote>“The next phase of AI is about agents that can do work, not just talk about it.” — Satya Nadella, Microsoft Build 2025 keynote\u003C\u002Fblockquote>\u003Cp>這句話很直白。Nadella 的意思不是 AI 會講更多廢話，而是 AI 要開始接工作。Copilot Cowork 就是這個方向的實作版。\u003C\u002Fp>\u003Cp>我覺得這也解釋了 Microsoft 為什麼一直把 Copilot 綁在 365。因為真正的價值，不在於模型本身。是在於它能不能直接碰到企業每天在用的資料、文件、行事曆和通訊紀錄。\u003C\u002Fp>\u003Cp>換句話說，Microsoft 不是在賣一個聊天機器人。它是在賣一個工作入口。\u003C\u002Fp>\u003Ch2>Researcher 和企業控管，才是能不能落地的重點\u003C\u002Fh2>\u003Cp>Microsoft 也提到 Researcher agent 的改動。它把內容生成和評估拆開。這種設計看起來不炫，但很實際。因為企業最怕的不是 AI 不會講，而是 AI 講得很像，卻錯得很離譜。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775304241852-cnp0.png\" alt=\"Microsoft 365 把 Copilot 推向執行層\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>如果一個系統先寫，再自己檢查，至少能多一層保險。這對報告、內部簡報、主管摘要特別重要。畢竟沒人想在董事會上，被 AI 亂寫的數字打臉。\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.capitalgroup.com\" target=\"_blank\" rel=\"noopener\">Capital Group\u003C\u002Fa> 是 Microsoft 目前點名的早期客戶之一。Barton Warner 是它的 SVP of Enterprise Technology。他的說法很對企業胃口，因為他講的是協作和安全邊界，不是炫技。\u003C\u002Fp>\u003Cblockquote>“Copilot helps connect and coordinate enterprise tasks while staying inside security boundaries.” — Barton Warner, SVP of Enterprise Technology, Capital Group\u003C\u002Fblockquote>\u003Cp>這類引述的價值，在於它直接對準企業最在意的問題：能不能控管。AI 再強，不能管就沒戲。尤其是金融、醫療、法務這些場景，權限和紀錄比模型分數更重要。\u003C\u002Fp>\u003Cp>所以這次更新真正的看點，不只是功能多了什麼。是 Microsoft 有沒有把「可控」做得夠完整。這會影響它能不能從試用，走到正式上線。\u003C\u002Fp>\u003Cul>\u003Cli>Researcher 把生成和評估拆開。\u003C\u002Fli>\u003Cli>Capital Group 已在早期採用名單內。\u003C\u002Fli>\u003Cli>Microsoft 強調動作留在客戶自己的 365 環境。\u003C\u002Fli>\u003Cli>英國和歐盟管理員要先開啟 Anthropic 設定。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>跟現有 Copilot 比，差別不在寫作而在流程\u003C\u002Fh2>\u003Cp>Microsoft 說，它的 4.5 億商用 Microsoft 365 使用者裡，真正用 Copilot 的還只是少數。這句話很誠實，也很殘酷。代表市場還大，但滲透率還沒到很漂亮的程度。\u003C\u002Fp>\u003Cp>原因其實不難懂。很多人用過 Copilot 後，會覺得它能寫，但不一定省事。草稿很快，修稿也很快。可是一旦牽涉到跨部門協作，價值就開始看執行能力，而不是看文筆。\u003C\u002Fp>\u003Cp>這裡可以直接做個對照：\u003C\u002Fp>\u003Cul>\u003Cli>舊 Copilot：寫 email、摘要會議、改文件。\u003C\u002Fli>\u003Cli>Copilot Cowork：跑流程、做簡報、分析產品成長。\u003C\u002Fli>\u003Cli>舊模式：人要自己補步驟。\u003C\u002Fli>\u003Cli>新模式：人先定目標，系統多做一段流程。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>這差很多。因為企業不只想要文字，企業想要省人力。若 Copilot 只能幫你寫 20 分鐘，卻讓你多花 30 分鐘驗證，那它就只是半成品。\u003C\u002Fp>\u003Cp>如果 Cowork 真能把任務做完一半以上，IT 團隊的評估方式也會變。問題不再只是「寫得像不像人」。而是「能不能碰資料」、「有沒有稽核紀錄」、「權限會不會亂跑」。\u003C\u002Fp>\u003Ch2>這波其實是在拚企業工作入口\u003C\u002Fh2>\u003Cp>我覺得 Microsoft 的野心很明顯。它想把 Microsoft 365 變成企業 agent 的控制中心。你每天開的不是一個聊天視窗，而是一個能接工作、能串資料、能留紀錄的入口。\u003C\u002Fp>\u003Cp>這種佈局不是憑空冒出來的。過去 10 年，企業軟體一直在往整合走。Slack、Google Workspace、Notion、Salesforce，都在搶工作流入口。現在 AI 只是把這場競爭再推快一點。\u003C\u002Fp>\u003Cp>對台灣開發者來說，這也很現實。未來很多 SaaS 不會只比 API 多不多，而是比誰能跟 Microsoft 365、Teams、Outlook、SharePoint 接得更順。你如果做企業軟體，這條線不能忽略。\u003C\u002Fp>\u003Cp>而且這不是單純的模型戰。是產品、權限、資料治理、稽核、價格一起打。誰能把這幾件事包好，誰才有機會進企業採購名單。\u003C\u002Fp>\u003Ch2>接下來要看的，不是 demo，是採用率\u003C\u002Fh2>\u003Cp>demo 很容易漂亮。真的難的是讓企業開權限、讓員工改習慣、讓主管願意信任結果。這三件事少一個，agent 就只是展示品。\u003C\u002Fp>\u003Cp>我會先看兩個數字。第一個是 Copilot 的活躍使用率。第二個是 Cowork 相關功能在企業內部的留存率。只要這兩個數字拉不起來，再強的模型也只是燒錢。\u003C\u002Fp>\u003Cp>如果你問我接下來會怎樣，我的判斷很簡單：Microsoft 會繼續把 Copilot 往「執行層」推。接下來 6 到 12 個月，重點會是更多工作流整合，而不是更多花俏對話。\u003C\u002Fp>\u003Cp>你可能會想問，這對一般使用者有差嗎？有，但不是馬上。先變的是企業版 Office。等企業真的接受 agent 代辦，消費版才會跟上。這次的主戰場，還是在商用市場。\u003C\u002Fp>","Microsoft 365 正把 Copilot 從聊天工具推向任務執行，還透過與 Anthropic 的合作把 Claude 拉進企業工作流，背後是 300 億美元級別的佈局。","voip.review","https:\u002F\u002Fvoip.review\u002F2026\u002F04\u002F03\u002Fmicrosoft-revolutionizes-365-copilot-cowork-anthropic-partnership\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775304230592-esm8.png",[13,14,15,16,17,18,19,20,21,22],"Microsoft 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Claude","en",[56,62,68,74,80,86],{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":31},"38406a12-f833-4c69-ae22-99c31f03dd52","switch-ai-outputs-markdown-to-html-zh","怎麼把 AI 輸出改成 HTML","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778743243861-8901.png","2026-05-14T07:20:21.545364+00:00",{"id":63,"slug":64,"title":65,"cover_image":66,"image_url":66,"created_at":67,"category":31},"c7c69fe4-97e3-4edf-a9d6-a79d0c4495b4","anthropic-cat-wu-proactive-ai-assistants-zh","Cat Wu 談 Claude 的主動式 AI","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778735455993-gnw7.png","2026-05-14T05:10:30.453046+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":31},"e1d6acda-fa49-4514-aa75-709504be9f93","how-to-run-hermes-agent-on-discord-zh","如何在 Discord 執行 Hermes 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