[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-pentagon-strikes-ai-deals-classified-work-zh":3,"tags-pentagon-strikes-ai-deals-classified-work-zh":33,"related-lang-pentagon-strikes-ai-deals-classified-work-zh":43,"related-posts-pentagon-strikes-ai-deals-classified-work-zh":47,"series-industry-77bbe0b9-284a-4751-af18-8f6e44edd27b":84},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":21,"translated_content":10,"views":22,"is_premium":23,"created_at":24,"updated_at":24,"cover_image":11,"published_at":25,"rewrite_status":26,"rewrite_error":10,"rewritten_from_id":27,"slug":28,"category":29,"related_article_id":30,"status":31,"google_indexed_at":32,"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":23},"77bbe0b9-284a-4751-af18-8f6e44edd27b","五角大廈簽 AI 合約，盯上機密工作","\u003Cp data-speakable=\"summary\">五角大廈正在和 AI 公司簽約，想把模型用到更多機密工作。\u003C\u002Fp>\u003Cp>說真的，這件事比一般採購還敏感。因為一旦碰到機密資料，規則就不是看 demo 多漂亮，而是看模型能不能過安全審查。\u003C\u002Fp>\u003Cp>這次主角包括 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa>。白宮官員對它的新模型 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Mythos\u003C\u002Fa> 有興趣，也有疑慮。這代表政府端不是只想買工具，而是想決定誰能進入國防流程。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>內容\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>公司\u003C\u002Ftd>\u003Ctd>\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>模型\u003C\u002Ftd>\u003Ctd>Mythos\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>機構\u003C\u002Ftd>\u003Ctd>\u003Ca href=\"https:\u002F\u002Fwww.defense.gov\" target=\"_blank\" rel=\"noopener\">Pentagon\u003C\u002Fa>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>政治拉扯\u003C\u002Ftd>\u003Ctd>白宮官員想促成折衷\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>這次到底變了什麼\u003C\u002Fh2>\u003Cp>這次的變化，不是單純多一筆合約。它牽涉到 \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 能不能重新進入政府體系，也牽涉到哪些模型公司會先拿到國防場景。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777860048716-7vv5.png\" alt=\"五角大廈簽 AI 合約，盯上機密工作\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對 AI 公司來說，政府合約很現實。它有長約、有穩定收入，也有高門檻。能不能通過審查，常常比模型分數\u003Ca href=\"\u002Fnews\u002Fwhy-qdrant-vector-search-gains-matter-more-than-raw-speed-zh\">更重要\u003C\u002Fa>。\u003C\u002Fp>\u003Cp>對五角大廈來說，這種合作很實用。模型可以幫忙摘要、分類、翻譯，也能處理大量分析工作。講白了，就是把人力從重複工作裡拉出來。\u003C\u002Fp>\u003Cul>\u003Cli>政府採購會影響哪家 AI 公司先進國防系統。\u003C\u002Fli>\u003Cli>合約不只給錢，也給信任背書。\u003C\u002Fli>\u003Cli>模型要過資安、稽核、權限控管。\u003C\u002Fli>\u003Cli>國防端看的是可控性，不是聊天體驗。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>為什麼機密工作特別重要\u003C\u002Fh2>\u003Cp>機密工作是 AI 真正碰到硬牆的地方。公開聊天機器人可以出錯，機密系統不行。只要資料進到敏感流程，prompt injection、資料保留、存取紀錄，都會變成大問題。\u003C\u002Fp>\u003Cp>這也是 Anthropic 這次特別受關注的原因。它一直強調安全與受控部署，同時又能做出能打的模型。這種組合，對政府單位很有吸引力。\u003C\u002Fp>\u003Cp>但吸引力和風險是一起來的。模型越強，越容易被拿去做高風險用途。政府一旦採用，就會追問模型更新怎麼管、事故怎麼回報、誰能看紀錄。\u003C\u002Fp>\u003Cblockquote>“AI is the new electricity,” Andrew Ng said in a 2017 talk at Stanford’s Graduate School of Business.\u003C\u002Fblockquote>\u003Cp>這句話老梗了，但放在這裡還是貼切。通用技術一旦成熟，政府就會想把它塞進最重要的系統。只是國防這一塊，容錯率真的很低。\u003C\u002Fp>\u003Ch2>和過去的 Pentagon AI 合作比起來\u003C\u002Fh2>\u003Cp>五角大廈以前也用過 AI，但多半是窄任務。像影像辨識、物流預測、目標偵測，這些都比較像工具。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777860041158-bvkt.png\" alt=\"五角大廈簽 AI 合約，盯上機密工作\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>現在不一樣了。現在談的是能讀文字、寫程式、整理情報的模型。這種系統更像工作夥伴，也更難管。\u003C\u002Fp>\u003Cp>這裡可以直接看出差別。以前比的是準確率，現在還要比治理能力。誰能處理權限、稽核、更新和事故，誰就更接近政府標準。\u003C\u002Fp>\u003Cul>\u003Cli>早期國防 AI 偏向單一任務。\u003C\u002Fli>\u003Cli>現在的模型要處理分析、草稿、決策支援。\u003C\u002Fli>\u003Cli>政府買家更在意治理，不只看能力。\u003C\u002Fli>\u003Cli>供應商選擇會影響內部技術堆疊。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>這對整個市場很現實。拿到國防合約，不代表就能躺平。反而會被盯得更緊，因為每一次更新、每一個版本，都可能牽涉敏感用途。\u003C\u002Fp>\u003Ch2>Anthropic 會拿到什麼，又會賭上什麼\u003C\u002Fh2>\u003Cp>如果 Anthropic 跟五角大廈談成折衷，它拿到的不是只有一張合約。它可能重新打開更大範圍的政府市場，也能增加長期採用機會。\u003C\u002Fp>\u003Cp>這\u003Ca href=\"\u002Fnews\u002Fwhy-qdrant-cloud-enterprise-push-matters-ai-retrieval-zh\">很重要\u003C\u002Fa>，因為政府客戶很少，但單子很大。對模型公司來說，這種客戶能帶來收入，也能帶來可信度。\u003C\u002Fp>\u003Cp>問題是，越靠近國防，爭議就越多。外界會問，安全敘事能不能跟軍事用途同時成立。這不是公關題，是實戰題。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fnews\" target=\"_blank\" rel=\"noopener\">Anthropic 公告\u003C\u002Fa>會是觀察重點。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.defense.gov\" target=\"_blank\" rel=\"noopener\">Pentagon\u003C\u002Fa> 會要求更嚴格的控制。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.whitehouse.gov\" target=\"_blank\" rel=\"noopener\">白宮\u003C\u002Fa> 似乎在當協調者。\u003C\u002Fli>\u003Cli>其他 AI 供應商也會看這個案例怎麼收尾。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>我覺得這才是重點。AI 採購已經不是買軟體而已，而是在選哪家供應商能進到權限最深的地方。\u003C\u002Fp>\u003Ch2>接下來會怎麼走\u003C\u002Fh2>\u003Cp>如果這次折衷成功，其他政府機構很可能跟進。因為大家都想要更快的分析工具，也都想找能過審查的供應商。\u003C\u002Fp>\u003Cp>如果談不攏，Pentagon 還是會繼續找 AI 方案。只是可選名單可能變少，流程也會更保守。\u003C\u002Fp>\u003Cp>我會盯兩件事。第一，Anthropic 會不會調整政府策略。第二，其他模型公司會不會開始把國防合規當成標準配備。這兩件事，會直接影響接下來幾年的政府 AI 市場。\u003C\u002Fp>\u003Cp>講白了，下一輪競爭不是誰的 \u003Ca href=\"\u002Fnews\u002Fcursor-ceo-michael-truell-rapid-rise-zh\">cha\u003C\u002Fa>tbot 比較會聊，而是誰能通過資安、法規和政治三關。這才是大局。\u003C\u002Fp>","五角大廈正和 AI 公司簽約，想把模型用到機密工作。白宮也在推 Anthropic 回到政府體系，這場拉扯牽動國防採購、資安審查與 AI 供應鏈。","www.nytimes.com","https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F05\u002F01\u002Fus\u002Fpolitics\u002Fpentagon-ai-companies-deals.html",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777860048716-7vv5.png",[13,14,15,16,17,18,19,20],"Pentagon","Anthropic","AI合約","機密工作","國防AI","政府採購","模型治理","資安審查","zh",3,false,"2026-05-04T02:00:25.64032+00:00","2026-05-04T02:00:25.55+00:00","done","ebead706-42b3-4aaa-b7e9-8bfe501a418a","pentagon-strikes-ai-deals-classified-work-zh","industry","7a5ac340-015f-4dd2-8cba-009956214f76","published","2026-05-04T09:00:14.361+00:00",[34,36,38,40,41],{"name":15,"slug":35},"ai合約",{"name":14,"slug":37},"anthropic",{"name":17,"slug":39},"國防ai",{"name":16,"slug":16},{"name":13,"slug":42},"pentagon",{"id":30,"slug":44,"title":45,"language":46},"pentagon-strikes-ai-deals-classified-work-en","Pentagon strikes AI deals for classified work","en",[48,54,60,66,72,78],{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":29},"cd078ce9-0a92-485a-b428-2f5523250a19","circles-agent-stack-targets-machine-speed-payments-zh","Circle 推出 Agent Stack，瞄準機器速度支付","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871663628-uyk5.png","2026-05-15T19:00:44.16849+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":29},"96d96399-f674-4269-997a-cddfc34291a0","iren-signs-nvidia-ai-infrastructure-pact-zh","IREN 綁上 Nvidia AI 基建","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871057561-bukp.png","2026-05-15T18:50:37.57206+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":29},"de12a36e-52f9-4bca-8deb-a41cf974ffd9","circle-agent-stack-ai-payments-zh","Circle 推出 Agent Stack 做 AI 付款","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778870462187-t9xv.png","2026-05-15T18:40:30.945394+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":29},"e6379f8a-3305-4862-bd15-1192d3247841","why-nebius-ai-pivot-is-more-real-than-hype-zh","為什麼 Nebius 的 AI 轉型比炒作更真實","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778823044520-9mfz.png","2026-05-15T05:30:24.978992+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":29},"66c4e357-d84d-43ef-a2e7-120c4609e98e","nvidia-backs-corning-factories-with-billions-zh","Nvidia 出資 Corning 工廠擴產","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778822450270-trdb.png","2026-05-15T05:20:27.701475+00:00",{"id":79,"slug":80,"title":81,"cover_image":82,"image_url":82,"created_at":83,"category":29},"31d8109c-8b0b-46e2-86bc-d274a03269d1","why-anthropic-gates-foundation-ai-public-goods-zh","為什麼 Anthropic 和 Gates Foundation 應該投資 A…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778796636474-u508.png","2026-05-14T22:10:21.138177+00:00",[85,90,95,100,105,110,115,120,125,130],{"id":86,"slug":87,"title":88,"created_at":89},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":111,"slug":112,"title":113,"created_at":114},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":116,"slug":117,"title":118,"created_at":119},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":126,"slug":127,"title":128,"created_at":129},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":131,"slug":132,"title":133,"created_at":134},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]