[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-ai-2026":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"cb0ebe4d-48f4-43bd-9652-926ca1d5c7bb","AI 2026","ai-2026",3,"這個標籤整理 2026 年 AI 的主要變化：模型推理更快、訓練與部署成本上升、企業導入加速，以及評測、治理與地緣競爭的落差。重點不只在技術進展，也在它如何先改變內容、程式與工作流程。","This tag tracks the state of AI in 2026: faster inference, higher training and deployment costs, widening enterprise adoption, and the lag between capability, evaluation, and governance. It focuses on how these shifts reshape content, code, workflows, and competition.",[12,21],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"57fe6457-4c90-4c0d-84a2-c062d87421f8","stanford-2026-ai-index-charts-explained-zh","史丹佛 2026 AI Index 圖表解讀","史丹佛 2026 AI Index 用圖表拆解 AI 現況：模型變快、成本變高、美中差距縮小，但評測和治理都追不上。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776427444966-lec9.png","zh","2026-04-17T12:03:47.109964+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":26,"image_url":27,"cover_image":27,"language":19,"created_at":28},"a265ba64-f895-4fef-af53-11ef0daf12a6","ai-in-2026-more-output-same-daily-life-zh","2026 年 AI 產量暴增，生活照舊？","2026 年的 AI 很可能先淹沒數位工作，而不是立刻改寫你的通勤、看病與育兒日常。文字、程式、圖片、影片會變多，企業流程會先變，普通人的離線生活反而只會小幅調整。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774516917147-y4jq.png","2026-03-26T07:50:07.80666+00:00"]