📄 中文摘要
Kuro 是一个持续运行的个人 AI 代理,能够观察环境、自动学习并在重要时刻采取行动。然而,在运行过程中发现,超过一半的 API 调用都是在无所作为的循环中浪费的。解决这一问题并不是依赖于提示工程或缓存,而是借鉴了认知科学中一个被忽视的教训。通过优化 AI 代理的决策过程,可以显著减少无效的调用,提高效率。
📄 English Summary
"Why Your AI Agent Needs a System 1"
Kuro is a continuously running personal AI agent that observes the environment, learns autonomously, and takes action when necessary. However, it was observed that over half of the API calls were wasted on cycles where no action was required. The solution was not prompt engineering or caching, but rather a lesson from cognitive science that has been overlooked. By optimizing the decision-making process of the AI agent, significant reductions in ineffective calls can be achieved, enhancing overall efficiency.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等