[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-代理式工作流":3},{"tag":4,"articles":9},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":8},"0e78bf35-212a-4507-9308-9893487710c5","代理式工作流",0,null,[10],{"id":11,"slug":12,"title":13,"summary":14,"category":15,"image_url":16,"cover_image":16,"language":17,"created_at":18},"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"]