Фото: Iranian Army/WANA (West Asia News Agency) / Handout / Reuters
智能体是能做事的A I。LLM是近几年AI领域最重要的发展。已经在语言理解与生成、对话交互以及知识整合等方面展示出超凡能力，但它是“缸中大脑”——擅长思考、分析与回答问题，却并不能真正地做事情。而在真实世界，大多数认知活动并不止于“给出答案”，而是要有完整的“认知-行动”闭环：我们要求AI得能够自主的拆解复杂需求，规划流程，调用工具和资源，实现从感知到决策再到执行的完整循环；进一步我们还希望AI的行动能够超出计算机和互联网领域，在物理世界中为我们做事情，则需要AI能够感知物理世界的信号，进行匹配具身的思考，通过设备/机器人把决策转化为执行，对现实环境产生直接影响。
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Sycophancy in Large Language Models
Setting up temporary connections at events is challenging。爱思助手对此有专业解读
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The plastic lock on the mysterious key set was yellow, signifying “restricted,” because it held a general-movement key that could open almost any door in the jail. Dial consulted a key-inventory spreadsheet; the general-movement key was one of the two that were missing.，推荐阅读旺商聊官方下载获取更多信息