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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.
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万象系购物中心里，几乎看不到大连锁的痕迹，就是最好的证明。未来5—10年，差异化创新将成为主流，规模化连锁企业若不上市，需考虑多品牌布局，才能满足不同消费者的需求。
你让它画「红烧肉」，它可能老老实实给你画一块正在燃烧的肉；你让它在海报上写句中文，它往往会给你凑出一堆毫无意义的鬼画符。缺乏对真实世界的常识，是第一代 AI 最容易让人崩溃的地方。