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首先，智能体应具备强大的目标理解和规划能力来体现智能的自主性。理想状态下，人类只需给出抽象目标，智能体便能理解目标、拆解任务、规划行动，并在尽量少的人工干预下完成执行闭环。就像影《星际穿越》中的机器TARS，在紧急情况下能够根据"拯救宇航员"这一目标，自主判断局势、制定和调整行动策略，甚至做出牺牲自己数据的决定来完成使命。这要求机器智能有深度“理解/思考”能力（推理、规划、决策），能够敏锐地决策，能够基于执行结果与环境反馈动态调整任务规划，而不是僵化地执行既定路径。
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One thing that I found really interesting was the ability of the LLM to inspect the COM files for ZEXALL / ZEXCOM tests for the Z80, easily spot the CP/M syscalls that were used (a total of three), and implement them for the extended z80 test (executed by make fulltest). So, at this point, why not implement a full CP/M environment? Same process again, same good result in a matter of minutes. This time I interacted with it a bit more for the VT100 / ADM3 terminal escapes conversions, reported things not working in WordStar initially, and in a few minutes everything I tested was working well enough (but, there are fixes to do, like simulating a 2Mhz clock, right now it runs at full speed making CP/M games impossible to use).
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So far, there's no evidence that it has the planes or the capability to launch airstrikes deep into Pakistan.
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