历史教授Jason Gibson发现35名学生中32人期中不及格，原因竟是集体用AI生成答案且未检查。他在试卷中嵌入白色隐藏提示，学生直接复制题目给AI后，答案会突然出现“毛茸茸的猪”等荒谬词句，从而暴露作弊。
Anthropic将自建的“经济指数”数据库接入Claude，该指数基于真实AI使用数据。用户可在claude.ai直接提问，如“哪些职业用AI最多”，答案直接从指数生成，避免模型凭空编造，实现数据驱动回答。这标志着Claude与真实世界AI使用状况的联通。
Meta在Facebook推出“AI模式”搜索功能，利用生成式AI整合全平台公开内容（如群组、Reels），通过自然语言交互直接提供综合文本答案，替代传统滚动式搜索结果浏览，加速其在AI领域的追赶。
苹果获谷歌Gemini模型访问权，将利用其生成的高质量答案与逻辑链作为训练数据，通过数据蒸馏技术加速自研轻量化AI模型的开发。
Profound 帮助品牌在 AI 生成的答案中获得可见性。
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纳米AI搜索 （原360AI搜索），拍照问，语音搜，一切答案皆可生成视频
Openai
$2.8
Input tokens/M
$11.2
Output tokens/M
1k
Context Length
Google
$0.49
$2.1
Xai
$1.4
$3.5
2k
$7.7
$30.8
200
-
Anthropic
$105
$525
$0.7
$7
$35
$17.5
$21
Alibaba
$4
$16
Baidu
128
$6
$24
256
Bytedance
$1.2
$3.6
4
$2
Tavily MCP服务器是一个基于Tavily搜索API的AI网络搜索服务，提供网页搜索、答案生成和新闻搜索功能，支持多种安装和配置方式。
Apple RAG MCP是一个为AI代理提供苹果开发专业知识的检索增强生成系统，集成了官方Swift文档、设计指南和Apple Developer YouTube内容，通过AI驱动的混合搜索技术提供准确的技术答案。
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