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Principles

General agent components:

  • LLM (brain)
  • Prompting (instructions)
  • Memory
  • External knowledge
  • Tools

Agent Architecture

First-Principles​

从李世石与 AlphaGo 的围棋对战中的第 37 手, 我们可以总结出第一性原理 智能体的基本原则:

  • Replica agents: 当流程需要人工审核、代理作为用户的副驾驶员或与仅限 UI 的旧版工具集成时，使用仿生学。
  • Alien agents: 当目标是纯粹的结果效率时，使用第一性原理。

Asymmetry of Verification and Verifiers​

Asymmetry of verification and verifiers law:

所有可解决且易于验证的问题, 都将被 AI 解决.

Agent Traffic

Among the agents:

Value of highly polished UI and enterprise applications will decrease, value of performant, reliable, extensible API will increase.