Recent agentic search systems have made substantial progress by emphasising deep, multi-step reasoning. However, this focus often overlooks the challenges of wide-scale information synthesis
大多数人认为深度、多步推理是提升代理搜索系统性能的关键，但作者认为这种方法忽视了大规模信息合成的挑战，暗示过度强调推理深度可能不是最优路径。