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.
舉例來說，2024年的一項研究發現，當使用者以禮貌的方式提問，而不是直接下命令時，大型語言模型的回答更好、更準確。更奇怪的是，這其中還存在著文化差異：與中文和英文相比，如果你對日文聊天機器人過於客氣，它們的表現反而會略遜一籌。
基金會表示：「最終，我們未與愛潑斯坦展開任何合作，也沒有成立任何基金。基金會從未向他支付任何款項，他也從未以任何形式受僱於基金會。」
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