为了攻克这一难题， 腾讯内容算法中心 联合清华大学， 近期提出 ReSeek 框架，它不是对 RAG 的简单改进，而是对 Search Agent 核心逻辑的一次重塑。 ReSeek 的关键在于引入了动态自我修正机制，允许智能体在执行过程中主动评估每一步行动的有效性。一旦发现路径无效或信息错误，它就能及时回溯并探索新 的可能性，从而避免「一条路走到黑」。 为了同时解决 知识的实时性和推理的复杂性 这两大挑战，搜索智能体（Search Agent）应运而生。它与 RAG 的核心区别在于，Search Agent 能够通过与实时搜索 引擎进行多轮交互来分解并执行复杂任务。这种能力在人物画像构建，偏好搜索等任务中至关重要，因为它能模拟人类专家进行深度、实时的资料挖掘。 但 Search Agent 经常面临着一个棘手的瓶颈： 缺乏过程中的自我纠错能力。 现有的智能体一旦在推理早期因一个模糊的查询而走上错误的路径，就会基于这个错 误结果继续执行，引发连锁式错误（Cascading Errors），最终导致整个任务失败。 论文地址：https://arxiv.org/pdf/2510.00568 开源模型及数据集地址： ...

Group 1 - The core argument emphasizes the distinction between intelligence and wisdom, suggesting that while machines can perform 80% of tasks, the remaining 20% requires human wisdom [4][5][27] - The article discusses the implications of AI's capabilities, particularly how AI can pass standardized tests like the CPA exam in just 26 seconds, raising questions about the unique contributions of human intelligence [3][27] - It highlights the essential qualities of wisdom that machines cannot replicate, such as moral decision-making, empathy, and complex problem-solving [7][8][9][10][11] Group 2 - The article identifies five unique human wisdoms: ambiguous decision-making, empathetic creativity, systemic cognition, value judgment, and metacognition, which are crucial in contexts where AI falls short [6][7][8][9][10][11] - It proposes that in an era where AI handles most standardized tasks, humans must focus on self-evolution and training to enhance their unique capabilities [12][27] - The discussion includes practical training methods for individuals to develop resilience, emotional intelligence, and creative thinking, which are vital in navigating a world increasingly influenced by AI [12][13][14][15][16][19][20][21][22][24][25]