[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-deepmind-veterans-are-leaving-london-zh":3,"article-related-deepmind-veterans-are-leaving-london-zh":32,"series-industry-21e55851-9929-4b8c-86a1-e97fe2524a50":79},{"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":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"21e55851-9929-4b8c-86a1-e97fe2524a50","deepmind-veterans-are-leaving-london-zh","DeepMind老兵為何離開倫敦","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fgoogle-deepmind\">Google DeepMind\u003C\u002Fa> 從研究型團隊轉向產品與模型競賽後，老研究員開始流失。這篇拆解組織文化怎麼變、人才為何離開，以及 \u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa> 時代的代價。\u003C\u002Fp>\u003Cp>說真的，這不是單純的搬家新聞。\u003Ca href=\"https:\u002F\u002Fdeepmind.google\" target=\"_blank\" rel=\"noopener\">DeepMind\u003C\u002Fa> 曾靠 AlphaGo 和 AlphaFold 把招牌打亮。現在，它更像 \u003Ca href=\"https:\u002F\u002Fdeepmind.google\u002Ftechnologies\u002Fgemini\" target=\"_blank\" rel=\"noopener\">Google DeepMind\u003C\u002Fa> 的一個核心引擎。\u003C\u002Fp>\u003Cp>問題也很直白。研究節奏變成產品節奏後，很多老研究員就會開始不習慣。你可能會想問，這到底差在哪裡？差在一邊是長期研究，一邊是季度交付。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>時間點\u003C\u002Fth>\u003Cth>事件\u003C\u002Fth>\u003Cth>意義\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>2016\u003C\u002Ftd>\u003Ctd>AlphaGo 擊敗李世石\u003C\u002Ftd>\u003Ctd>DeepMind 進入全球視野\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>2020\u003C\u002Ftd>\u003Ctd>AlphaFold 2 進展成熟\u003C\u002Ftd>\u003Ctd>AI for Science 變成主流話題\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>2023\u003C\u002Ftd>\u003Ctd>Google 整合 Bard 與 DeepMind\u003C\u002Ftd>\u003Ctd>Gemini 成為核心方向\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>從研究聖地變成產品機器\u003C\u002Fh2>\u003Cp>早期的 DeepMind，很像一間研究氣味很重的實驗室。研究員能花很多時間想問題，也能慢慢驗證想法。那種節奏很\u003Ca href=\"\u002Fnews\u002Fsora-smash-ultimate-final-dlc-pick-balanced-zh\">適合\u003C\u002Fa>做強化學習、蛋白質結構、通用智能這類長線題目。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782777778486-vnfd.png\" alt=\"DeepMind老兵為何離開倫敦\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>但現在不一樣了。Gemini 不是只看論文分數。它還要進 \u003Ca href=\"https:\u002F\u002Fwww.google.com\" target=\"_blank\" rel=\"noopener\">Google\u003C\u002Fa> 搜尋、Workspace、Android、雲端服務。講白了，模型不只要強，還要能上線。\u003C\u002Fp>\u003Cp>這會直接改變評估方式。以前問的是「這個研究對不對」。現在常問的是「這個功能能不能準時交」。兩種問題都重要，但對研究員來說，感受差很多。\u003C\u002Fp>\u003Cul>\u003Cli>AlphaGo 讓 DeepMind 變成 AI 圈名牌。\u003C\u002Fli>\u003Cli>AlphaFold 讓它不只會下棋，還能碰科學研究。\u003C\u002Fli>\u003Cli>Gemini 讓它更像產品與平台的核心零件。\u003C\u002Fli>\u003Cli>研究節奏也從年為單位，變成季為單位。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>老研究員為什麼開始走\u003C\u002Fh2>\u003Cp>最常見的原因，是研究自主權變少了。以前可以圍繞一個科學問題慢慢挖。現在常常要看產品優先序，還要配合模型發布節點。這種改變，對很多人來說很傷。\u003C\u002Fp>\u003Cp>第二個原因，是組織氣質變了。早期 DeepMind 很像研究社群。大家靠論文、實驗和長期目標建立信任。現在它更像 \u003Ca href=\"\u002Ftag\u002Fgoogle\">Google\u003C\u002Fa> 內部的一個大部門，協調成本明顯變高。\u003C\u002Fp>\u003Cp>再來是心理落差。你原本以為自己在做研究，結果慢慢變成在幫產品線補零件。這種落差很現實，也很難靠口號補回來。\u003C\u002Fp>\u003Cblockquote>“The main thing I’m worried about is that we don’t move too fast and break things.” — Demis Hassabis\u003C\u002Fblockquote>\u003Cp>這句話出自 \u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FDemis_Hassabis\" target=\"_blank\" rel=\"noopener\">Demis Hassabis\u003C\u002Fa>。他一直在講速度和謹慎要平衡。問題是，當整個 AI 產業都在拼速度，研究耐心就會變成稀缺品。\u003C\u002Fp>\u003Cp>對研究員來說，最煩的不是忙，而是忙得沒有閉環。你可能做出一個很強的模組，卻看不到它怎麼從研究一路走到產品價值。那種感覺，很像在幫別人蓋房子，自己卻進不了門。\u003C\u002Fp>\u003Cul>\u003Cli>長期自由課題變少。\u003C\u002Fli>\u003Cli>里程碑和交付壓力變多。\u003C\u002Fli>\u003Cli>跨團隊協作變重。\u003C\u002Fli>\u003Cli>純研究空間被壓縮。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Gemini 時代到底改了什麼\u003C\u002Fh2>\u003Cp>如果說 AlphaGo 時代在\u003Ca href=\"\u002Fnews\u002Fbitcoin-price-page-risk-asset-market-signal-zh\">證明\u003C\u002Fa>「AI 能做到什麼」，那 Gemini 時代更像在回答「這些能力怎麼塞進 Google 產品」。這兩件事都重要，但組織邏輯完全不同。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782777775975-zskz.png\" alt=\"DeepMind老兵為何離開倫敦\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>前者偏研究機構。後者偏平台公司。前者獎勵新想法。後者獎勵可\u003Ca href=\"\u002Fnews\u002Fllm-wikis-beat-raw-rag-knowledge-work-zh\">維護\u003C\u002Fa>、可部署、可複製。對習慣前者的人來說，後者常常很悶。\u003C\u002Fp>\u003Cp>這也解釋了人才流動。外界常說是老兵離開，其實更像文化重寫。很多人不是否定 DeepMind，而是覺得那間熟悉的研究所已經不見了。\u003C\u002Fp>\u003Cp>從競爭角度看，Google 也不是沒理由這樣做。\u003Ca href=\"https:\u002F\u002Fopenai.com\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa>、Google 都在搶模型能力、開發者心智和企業客戶。研究成果如果不快點接上產品，很容易只留在 demo。\u003C\u002Fp>\u003Cp>但代價也很明確。當一個原本靠理想感凝聚的團隊，被要求同時扛商業化和模型競賽，認同感就會鬆。老研究員離開倫敦，很多時候不是因為城市，而是因為工作內容已經變味。\u003C\u002Fp>\u003Cul>\u003Cli>研究成果更快進產品。\u003C\u002Fli>\u003Cli>模型節奏更貼近商業需求。\u003C\u002Fli>\u003Cli>研究文化更像工程文化。\u003C\u002Fli>\u003Cli>組織認同感更容易鬆動。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>這波流失會把 DeepMind 帶去哪\u003C\u002Fh2>\u003Cp>短期內，Google DeepMind 還是很能吸人。算力夠大，題目夠難，影響力也夠高。對很多年輕研究員來說，這些條件還是很香。\u003C\u002Fp>\u003Cp>但長期來看，內部分化會更明顯。有些人會接受產品化節奏。有些人會跑去更獨立的實驗室、創業公司，或學術環境。這種分流，現在已經在發生。\u003C\u002Fp>\u003Cp>所以，真正該看的不是誰走了，而是 Google DeepMind 還願不願意保留「慢研究」的位置。只要這個空間變小，老兵離開就不會是偶發事件。\u003C\u002Fp>\u003Cp>我覺得接下來最值得追的，不是某個人的去向，而是 Google DeepMind 能不能同時做兩件互相拉扯的事：一邊做出能改寫學界認知的研究，一邊把能力塞進 Google 的產品機器。這題很難，而且不會很快有答案。\u003C\u002Fp>\u003Cp>如果你是做 AI 或產品的人，這篇其實在提醒一件事。組織變大後，文化一定會變。問題不是變不變，而是你還能不能接受它變成現在這樣。\u003C\u002Fp>","Google DeepMind 從研究型團隊轉向產品與模型競賽後，老研究員開始流失。這篇拆解組織文化怎麼變、人才為何離開，以及 Gemini 時代的代價。","zhuanlan.zhihu.com","https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F2053547511319639558",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782777778486-vnfd.png","industry","zh","96ad3567-ab75-487a-b9ac-656da06056ef",[17,18,19,20,21,22],"DeepMind","Google DeepMind","Gemini","AI 人才流動","研究文化","倫敦",[24,25,26,27],"DeepMind 從研究型組織轉向產品與平台節奏。","老研究員離開，核心原因是研究自主權變少。","Gemini 讓研究成果更快進產品，也壓縮純研究空間。","真正的觀察重點，是 Google DeepMind 還能留多少慢研究文化。",0,"2026-06-30T00:02:28.609027+00:00","2026-06-30T00:02:28.601+00:00","934dbacd-9bb0-45c6-8e73-084b26489646",{"tags":33,"relatedLang":38,"relatedPosts":42},[34,36],{"name":18,"slug":35},"google-deepmind",{"name":19,"slug":37},"gemini",{"id":15,"slug":39,"title":40,"language":41},"deepmind-veterans-are-leaving-london-en","DeepMind老兵正在离开伦敦","en",[43,49,55,61,67,73],{"id":44,"slug":45,"title":46,"cover_image":47,"image_url":47,"created_at":48,"category":13},"2bf33104-e55c-4b7b-a090-4597d41fe2f3","anthropic-export-ban-shift-changes-ai-access-zh","Anthropic 限制鬆綁，AI 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