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That's a long list you've got there, but it includes things that LLMs have not made any useful contributions to (e.g. teaching, physics, chemistry), things that are obviously frivolous (e.g. cybersex, playing video games), things that LLMs are fundamentally untrustworthy with (e.g. legal contracts, most analyses), and things that LLMs are just plain terrible at (e.g. fiction, image generation), so... yes, besides those things. I think that was a long list of nonsense intended to overawe, rather than a serious discussion of what these bots are able to do.
I think there are some use cases for LLMs, but overall much less than their boosters think. When the general public rejects this technology as not useful for them, the general public is mostly correct.
This is exactly the problem. What we are talking about is public opposition to data centres, which, as Sun discusses, is predicated at least in part on the judgement that bots are not particularly useful. If 'AI' companies want to earn the public trust, they need to demonstrate both their trustworthiness and the usefulness of their products, and thus far they are failing at both those tasks. Sneering at the peasants is certainly not going to help them in these tasks.
Fiction is middling at best but LLMs (or adjacent technologies) are now pretty great at image generation. perhaps a bit narrow but the six-fingered hand is a thing of the past, and text is more or less solved on top models.
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