[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"trend-detail-solve-zh-TW":3},{"keyword":4,"slug":4,"score":5,"change":6,"peakScore":5,"history":7,"relatedTrends":8,"relatedArticles":32},"solve",500,0,[5],[9,13,17,21,25,29],{"keyword":10,"slug":11,"score":12},"Anthropic","anthropic",10000,{"keyword":14,"slug":15,"score":16},"OpenAI","openai",6569,{"keyword":18,"slug":19,"score":20},"Claude","claude",3403,{"keyword":22,"slug":23,"score":24},"Cloudflare","cloudflare",3139,{"keyword":26,"slug":27,"score":28},"Ethereum","ethereum",2347,{"keyword":30,"slug":31,"score":28},"Claude Code","claude-code",[33,42,49,56,65,74],{"id":34,"slug":35,"title":36,"summary":37,"source":38,"category":39,"cover_image":40,"image_url":40,"created_at":41},"c649adb7-c8ae-4ade-a092-2c0d53beeb71","measuring-llm-behavior-portability-zh","LLM 行為不一定可移植","這篇研究指出，LLM 在一個情境學到的行為，常常無法穩定轉移到報酬等價但表面不同的環境。","arxiv.org","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782717472977-na8g.png","2026-06-29T07:17:29.597679+00:00",{"id":43,"slug":44,"title":45,"summary":46,"source":38,"category":39,"cover_image":47,"image_url":47,"created_at":48},"118680f5-6212-4535-986a-50c4a0e71699","solver-choice-nash-equilibrium-selection-zh","求解器會改變納許均衡","這篇論文指出，在多重納許均衡的零和博弈裡，不同求解器不只會收斂，還會系統性挑不同的均衡。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782714784181-t42d.png","2026-06-29T06:32:31.062308+00:00",{"id":50,"slug":51,"title":52,"summary":53,"source":38,"category":39,"cover_image":54,"image_url":54,"created_at":55},"93b19c63-dbfd-4277-92b5-b5a60946fd65","river-llm-reinforcement-learning-without-answers-zh","RiVER 讓 LLM 不靠標準答案也能學","RiVER 證明 LLM 可以只靠執行回饋與分數校準，在沒有標準答案的任務上學出更好的策略。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782454671897-i8l3.png","2026-06-26T06:17:26.979468+00:00",{"id":57,"slug":58,"title":59,"summary":60,"source":61,"category":62,"cover_image":63,"image_url":63,"created_at":64},"c6ede5a0-8e1c-4967-90f1-95972f2c2682","postgres-data-movement-next-database-battle-zh","Postgres 的下一戰是資料搬運","Postgres 的儲存已經成熟，接下來真正難的是資料怎麼在系統間乾淨搬動，還有怎麼維持相容與一致性。","thenewstack.io","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782389883081-hguk.png","2026-06-25T12:17:36.639844+00:00",{"id":66,"slug":67,"title":68,"summary":69,"source":70,"category":71,"cover_image":72,"image_url":72,"created_at":73},"0e808308-2bd5-4fc0-a664-698df223abc4","anthropic-claude-tag-research-slack-search-zh","Claude 讓 Slack 變研究庫","我把 Reuters 對 Claude Tag Research 的報導拆成可落地的 Slack 研究流程，重點是標籤、權限、摘要與可複製模板。","www.reuters.com","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782285516725-yjy9.png","2026-06-24T07:18:02.774232+00:00",{"id":75,"slug":76,"title":77,"summary":78,"source":79,"category":80,"cover_image":81,"image_url":81,"created_at":82},"8b0b6a07-b173-42ab-883a-77d720808276","kimi-long-context-models-moonshot-ai-zh","Kimi 的長上下文一路加大","Moonshot AI 的 Kimi 從長上下文聊天機器人，走到 agent 與 1T 參數模型。Kimi K2.5 在 2026 年 1 月登場，也把產品線推到更複雜的階段。","en.wikipedia.org","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782231484525-xqgo.png","2026-06-23T16:17:38.02879+00:00"]