From this perspective, AI Agent social networks should possess significantly stronger entropy-reduction capabilities than human social networks. This is because AI Agents can directly execute code and process interactions in real time. They bypass the slow, lossy symbolic processing that humans require. As a result, AI Agent networks can rapidly organize information, generate novel structures, and create emergent functionality with far greater efficiency. Human social networks, by contrast, rely on indirect language and cognitive interpretation, which inherently introduces more noise, delay, and entropy. Therefore, the entropy-reduction power of AI Agent social networks is expected to substantially exceed that of traditional human ones.

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