[{"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],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"d35a1bd9-e709-412e-a2df-392df1dc572a","ai-impact-2026-developments-market-en","AI's Impact in 2026: Key Developments and Market Shifts","AI is reshaping industries in 2026, with companies like Meta and Ford launching innovative solutions that promise efficiency and cost savings.","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774495789055-msdj.png","en","2026-03-25T16:20:33.205823+00:00"]