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Notes -
Ah man it really is like talking to an academic bullshitter. Continuum fallacies and all.
It even brings in random definitions of things that have no connection to the underlying argument just to make the aggrieved party sound more important.
All the tactics, none of the substance.
The hopelessly ironic part is that it seems to be arguing that humanities professors can distinguish between true and false and avoid social biases, having been trained on their writings.
One has seldom produced such a clear example of self refuting nature of the post modern condition.
It is arguing in favor of humanities professors because I told it to argue that position. It researched that GPT may have trouble discerning true and false statement, and it argued that humanities professors have that capacity. It implicitly asserted that argument, but Hlynka asserts without proof that humanities professors are pomo text generators. But unlike Hlynka GPT it at least provided links to its statements, it used some jargon like autoregressive architecture and in general repeated original Hlynka's argument about deficiencies of GPT better. I think that it also correctly pointed out that this whole thing vs symbol manipulator distinction is a lot more complicated.
While I instinctively believe things are more complicated than Hlynka's distinction, I became less and less convinced of this the more I waded through Bing's verbiage on the matter.
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