• Lvxferre
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    1 year ago

    What if Generative AI turned out to be a Dud?

    The odds of that happening would be fairly low, given how wide machine generation is*. Even the two major implementations (image and text) look nothing like each other. Because of that I predict that at least some will stick around.

    Benedict Evans’ tweets

    Yup, they sum up the same practical usage that I found for ChatGPT. Zero.

    However the world doesn’t revolve around my belly, and you could find some tidbits of usefulness here and there. Here’s an example; as I mentioned in another thread the way that the writer is using LLM is IMO bad, but the idea of using LLM to sort and compare addresses (instead of doing it manually) is worth the trouble.

    there is no reason to think that the hallucination problem will be solved soon.

    I believe that the “hallucination” problem won’t go away for LLMs. Their premise on what language is stinks “I’m a codemonkey** and I’m ignorant on Linguistics, but I assume” from a distance. However the problem is not intrinsic to machine generation, not even to textual machine generation, so it could be solved with a better model.

    *I don’t like to call it “artificial intelligence” because the term is at the same time vague and misleading.
    **by “codemonkey” I mean the sort of programmer who shows blatant lack of insight on what they’re programming. I don’t mean programmers in general.