[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-連續學習":3},{"tag":4,"articles":9},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":8},"4300e282-3355-48c5-8885-0fcb4372a847","連續學習",1,null,[10],{"id":11,"slug":12,"title":13,"summary":14,"category":15,"image_url":16,"cover_image":16,"language":17,"created_at":18},"f18dbadb-8c59-4723-84a4-6ad22746c77a","deepmind-bets-on-continuous-learning-ai-2026-zh","DeepMind 押注 2026 連續學習 AI","Google DeepMind 認為 2026 年，AI 可能從定期重訓走向連續學習。重點不在更長的 Token 視窗，而在模型能否安全吸收新資料、保留能力，並真的用在寫程式、研究與自動化系統。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774519636453-nkqd.png","zh","2026-03-26T08:16:02.367355+00:00"]