硅谷101 . 有趣有用的商业访谈 本文来自微信公众号： 硅谷101 ，访谈：泓君，图文：思扬，编辑：泓君、梓沁，原文标题：《智 能体大战的分水岭时刻：四种技术路径全解析》，题图来自：AI生成 美国时间7月17日，OpenAI终于迎来了它的"Agent时刻"——通用型ChatGPT Agent正式发布。 它整 合了深度研究工具Deep Research与执行工具Operator，可一站式完成复杂任务，但仍存在速度 慢、个性化不足等短板。 这款产品的发布，让市场重新审视通用AI代理的技术路径选择。 ChatGPT Agent的架构本质是 "浏览器+沙盒虚拟机" ，与Manus、Genspark形成鲜明的技术路线差 异。在底层架构层面，浏览器 （Browser-based） 代理虽堪称万能，但运行速度较慢；沙盒虚拟机 （Sandbox） 高效，但无法联网操作、工具库受限；工作流集成 （Workflow API） 速度快、结果精 准，但业务范围有限。 不同架构模式下的几大主流Agent，各有哪些优劣势？针对B端客户和C端客户的Agent产品，在适用 场景和技术逻辑上有何差别？Agent将重塑互联网入口，那么依靠广告 ...

Core Insights - OpenAI has officially launched its ChatGPT Agent, marking a significant moment in the evolution of general-purpose AI agents, integrating deep research and execution tools, although it still faces challenges such as slow speed and lack of personalization [1][4][36] - The architecture of ChatGPT Agent is fundamentally a combination of a browser and a sandbox virtual machine, which contrasts with other agents like Manus and Genspark, highlighting different technical paths and capabilities [1][4][12] Architecture Comparison - The main types of AI agents currently available include browser-based agents, sandbox agents, and workflow-integrated agents, each with distinct advantages and limitations [12][26] - OpenAI's browser-based product is noted for its strong capabilities, achieving over 50% on the Browsing Camp benchmark, while competitors like Perplexity and Genspark have lower scores [4][6] - Browser-based agents are versatile but slow, while sandbox agents can execute tasks efficiently but often lack internet access [14][17] User Experience and Performance - User experience varies significantly among agents like Pokee, Genspark, Manus, and OpenAI's ChatGPT Agent, with Pokee being the fastest, potentially 4-10 times quicker than its competitors [36][40] - Manus and ChatGPT Agent share a common drawback of slow performance due to their reliance on browser navigation, with tasks taking upwards of 30 minutes [28][31] - Genspark has shifted towards a template-based approach, which may limit its general-purpose capabilities but improves speed and efficiency [34][33] Market Dynamics and Future Trends - The rise of AI agents is expected to transform internet traffic distribution, potentially reducing reliance on traditional web browsing and search engines [52][56] - Companies are increasingly motivated to open API interfaces to facilitate the integration of AI agents, which could lead to a decline in direct web traffic to traditional sites [52][58] - The advertising landscape is anticipated to evolve, with agents potentially compensating content creators directly, altering the traditional revenue models [64][66]