大模型是目前智能体大脑的最优选择，因为大模型的万亿参数压缩了人类积累的海量知识，拥有强大的模式识别和生成能力，是处理包括语言在内的多种非结构化数据的万能接口，拥有不错的泛化能力构成处理各类任务的基础。而以OpenAI o1/DeepSeek R1为代表的新一代推理模型为智能体的发展进一步助推：加强的推理能力带来更强的任务分解和规划，更好地自检和纠错，也令智能体对工具的使用可以更加准确。
This article originally appeared on Engadget at https://www.engadget.com/mobile/smartphones/how-to-pre-order-the-samsung-galaxy-s26-phones-and-galaxy-buds-4-180500976.html?src=rss。safew官方版本下载是该领域的重要参考
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This story was originally featured on Fortune.com
To find these crucial border points, we employed a clever technique based on the Ford-Fulkerson algorithm. By simulating "flooding" roads with traffic from random start/end points, we could identify the natural bottlenecks – the "minimum cut" in graph theory terms. These bottlenecks became our border points.