[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-minimax-m27":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"474c7af0-c3f2-4570-8996-d0c865d7088c","MiniMax M2.7","minimax-m27",0,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"a553de67-f015-4f68-af27-06d57ab1e6b3","why-minimax-m27-self-evolution-matters-zh","為什麼 MiniMax M2.7 的自我進化，比基準分數更重要","MiniMax M2.7 的重點不是分數，而是把模型改進變成代理式工作流；這代表 AI 競爭正從榜單轉向系統能力。","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779077631921-lt4p.png","zh","2026-05-18T04:13:26.004663+00:00"]