歷史教授Jason Gibson發現35名學生中32人期中不及格，原因竟是集體用AI生成答案且未檢查。他在試卷中嵌入白色隱藏提示，學生直接複製題目給AI後，答案會突然出現“毛茸茸的豬”等荒謬詞句，從而暴露作弊。
Anthropic將自建的“經濟指數”數據庫接入Claude，該指數基於真實AI使用數據。用戶可在claude.ai直接提問，如“哪些職業用AI最多”，答案直接從指數生成，避免模型憑空編造，實現數據驅動回答。這標誌着Claude與真實世界AI使用狀況的聯通。
復旦大學數據挖掘課期末考變身“出題人大賽”：學生需自創10道帶唯一答案的計算題，讓AI解答。得分規則反轉：AI答錯越多，學生成績越高，以此激勵學生深入掌握知識、設計高難度題目，檢驗AI短板，實現教學創新。
Meta在Facebook推出“AI模式”搜索功能，利用生成式AI整合全平臺公開內容（如羣組、Reels），通過自然語言交互直接提供綜合文本答案，替代傳統滾動式搜索結果瀏覽，加速其在AI領域的追趕。
Profound 幫助品牌在 AI 生成的答案中獲得可見性。
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Apple RAG MCP是一個為AI代理提供蘋果開發專業知識的檢索增強生成系統，集成了官方Swift文檔、設計指南和Apple Developer YouTube內容，通過AI驅動的混合搜索技術提供準確的技術答案。
Tavily MCP服務器是一個基於Tavily搜索API的AI網絡搜索服務，提供網頁搜索、答案生成和新聞搜索功能，支持多種安裝和配置方式。
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