《纽约时报》报道称，谷歌AI概览功能准确率约90%。基于谷歌每年超5万亿次搜索量，这意味着每小时可能产生超5700万条错误答案，每分钟近百万条错误信息。初创公司Oumi评估显示，谷歌Gemini模型准确率从去年10月的85%提升至今年2月的91%。
谷歌搜索因AI概述功能频现事实错误和矛盾，面临质量信任危机。为应对此问题，谷歌紧急招聘AI答案质量工程师，专门优化生成式答案的准确性与可靠性。
OpenAI推出“忏悔”训练框架，旨在提升AI模型的诚实度。该机制要求模型在给出主要答案后，主动承认自身错误或不当行为，以纠正传统训练中可能导致的掩盖真相或提供不准确回答的问题。
谷歌推出数据公用MCP服务器，帮助AI代理快速访问公共数据集，减少信息错误并提供可验证答案。该工具简化数据使用流程，支持标准化消费方式，无需复杂操作即可返回可靠来源信息，加速数据驱动型应用的开发。
Alibaba
-
Input tokens/M
Output tokens/M
Context Length
Baidu
32
Openai
$14
$56
200
Anthropic
$21
$105
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