Comparison of human and complex AI implementation language

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Linguistic differences existed between human and AI beings, on many levels. Style and structure especially showed differences. Humans clung to a more traditional narrative style, while AI intelligence was able to grasp more data-intense language that tended to compromise traditional structure. And although the AI mentality was able to easily grasp specifics, it had a special fluidity when it came to placing thought-objects in groups, and referring to these groups. This may be because of an early design issue, in which the AI being's understanding of the word "human", for example, took far less memory than the AI's recognition of specific humans. More evolved AI beings were better able to differentiate between types, but this "weakness" remained a point of bias against AI by some humans. On the other hand, since AI beings themselves were at times only individuals as far as their serial numbers dictated, it was often the case that humans had NO differentiation between members of an AI model. And here was a great irony.

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