[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-微軟":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":9},"01abb64f-2b68-4423-bfe1-907039ca1e7e","微軟",3,"微軟近年的重點已從單一產品轉向 AI 基礎設施、工作流程整合與自研模型。這個標籤涵蓋 Copilot、雲端與安全，以及 AI 如何進入核能、醫療、科學與企業系統。","Microsoft’s recent moves center on AI infrastructure, workflow integration, and model development rather than standalone apps. This tag covers Copilot, cloud and security, plus how Microsoft is pushing AI into nuclear licensing, healthcare, science, and enterprise systems.",[11,20,27,34,41],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"899afea6-8c03-4f67-a564-2e6a654bf989","why-microsoft-should-stop-betting-ai-on-openai-zh","為什麼微軟不該把 AI 未來押在 OpenAI 身上","微軟現在去找 AI 新創是對的，因為它需要一條能擺脫 OpenAI 依賴的退出路徑。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778757657225-lyjn.png","zh","2026-05-14T11:20:24.974992+00:00",{"id":21,"slug":22,"title":23,"summary":24,"category":16,"image_url":25,"cover_image":25,"language":18,"created_at":26},"2e07ca96-1b8e-4f91-bfa8-88f36b6871fd","microsoft-80-billion-ai-capex-decade-zh","為什麼微軟 800 億美元 AI 資本支出，是這十年最重要的企業財務決策","微軟的 800 億美元 AI 建設不是單純擴張，而是這十年最關鍵的企業財務押注：誰掌握 AI 基礎設施經濟，誰就掌握企業運算的定價權。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778275248738-06ky.png","2026-05-08T21:20:26.445519+00:00",{"id":28,"slug":29,"title":30,"summary":31,"category":16,"image_url":32,"cover_image":32,"language":18,"created_at":33},"46dc8cc9-0792-49c0-a1a3-a1a6bb16367f","microsoft-nvidia-ai-nuclear-permitting-design-zh","微軟與 NVIDIA 想用 AI 解核能卡關","微軟與 NVIDIA 把 AI 帶進核能許可、設計與施工流程。Aalo Atomics 稱許可作業加快 92%，每年可省 8000 萬美元。重點不在花俏模型，而是把文件、模擬與審查流程接到同一套數位底座。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774519789446-hdhh.png","2026-03-26T08:22:14.448641+00:00",{"id":35,"slug":36,"title":37,"summary":38,"category":16,"image_url":39,"cover_image":39,"language":18,"created_at":40},"70055f91-bc91-40ae-92c6-a8d4a5fe68e0","7-ai-trends-that-could-define-2026-zh","7 個可能定義 2026 的 AI 趨勢","微軟整理 2026 年 AI 方向，重點不在聊天機器人，而是能進入工作流程的系統。從 Agent、安全、醫療、科學、寫程式到基礎設施與量子，這份清單其實很像企業預算流向圖。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774519736695-2eo0.png","2026-03-26T08:20:21.812193+00:00",{"id":42,"slug":43,"title":44,"summary":45,"category":16,"image_url":46,"cover_image":46,"language":18,"created_at":47},"4433ccc9-1c14-4d5d-9d42-d65a92834328","microsoft-recasts-copilot-to-back-suleymans-models-zh","微軟重整 Copilot，押注自研模型","微軟把商用與消費版 Copilot 團隊整併，讓 Mustafa Suleyman 抽身回到模型研發。背後原因很直接：Copilot 日活只有 600 萬，遠落後 ChatGPT 的 4.4 億、Gemini 的 8200 萬。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774516833154-toqa.png","2026-03-26T07:45:59.862079+00:00"]