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。
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The agent was able to create a very detailed documentation about the ZX Spectrum internals. I provided a few .z80 images of games, so that it could test the emulator in a real setup with real software. Again, I removed the session and started fresh. The agent started working and ended 10 minutes later, following a process that really fascinates me, and that probably you know very well: the fact is, you see the agent working using a number of diverse skills. It is expert in everything programming related, so as it was implementing the emulator, it could immediately write a detailed instrumentation code to “look” at what the Z80 was doing step by step, and how this changed the Spectrum emulation state. In this respect, I believe automatic programming to be already super-human, not in the sense it is currently capable of producing code that humans can’t produce, but in the concurrent usage of different programming languages, system programming techniques, DSP stuff, operating system tricks, math, and everything needed to reach the result in the most immediate way.，推荐阅读safew官方版本下载获取更多信息