To verify the impact, I ran a full end-to-end benchmark using Criterium’s quick-benchmark.
从路径上看，前面提到现在智能体规模化应用集中在编程和工作流自动化方面，随着机器智能深度理解水平的提升，可以预期智能体的应用会不断拓展边界，能承担更抽象、复杂的任务，更多的自主规划和决策，来把人类的意图转化为结果。当然，突破不等于抛弃工作流。在企业高风险场景里，工作流/权限/审计会变成“护栏”，用来限制智能体的行动空间，以确保应用的安全。在相当长的时间内，人类的审批、审计在智能体工作的闭环中可能都是不可缺少的。
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I loved my time at RC and really wanted to give back in the same way that Greg did. Eva Khoury, who runs Operations at RC and also coordinates Boshi’s Place, an indie games and arts space in Brooklyn, was super encouraging about the idea from the start. I wanted to build something similar to the Rapid Riter: the RCade, a custom arcade cabinet that runs games made by the community.
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