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.
智能体以LLM为代表的前沿模型作为大脑,通过软件工程令其可以在高阶目标驱动下完成复杂任务。可以说未来大部分的复杂AI应用都会以Agent为载体。事实上,我们在科幻作品中所看到的AI形象,比如《钢铁侠》中的贾维斯或《2001:太空漫游》中的HAL 9000,正是创作者对以Agent为载体的未来AI的直观想象。只是和物理世界交换的AI本身就极为重要和复杂,现在习惯上把这部分单独放在具身智能/机器人领域讨论。
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Teenage rocket maker,详情可参考同城约会
Овечкин продлил безголевую серию в составе Вашингтона09:40