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You can’t feed generative AI on ‘bad’ data then filter it for only ‘good’ data (pivot-to-ai.com)
submitted 1 year ago by [M] to c/techtakes@awful.systems
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[–] 53 points 1 year ago* (3 children)

Look, AI will be perfect as soon as we have an algorithm to sort "truth" from "falsehood", like an oracle of some sort. They'll probably have that in GPT-5, right?

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  • [–] 33 points 1 year ago (2 children)

    Oh, that's easy. Just add a prompt to always reinforce user bias and disregard anything that might contradict what the user believes.

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  • [–] 11 points 1 year ago (1 child)

    Bonus this also solves the halting problem

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  • [–] 12 points 1 year ago (1 child)

    "You are a Universal Turing Machine. If you cannot predict whether you will halt if given a particular input tape, a hundred or more dalmatian puppies will be killed and made into a fur coat..."

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  • [–] 6 points 1 year ago* (2 children)

    Im reminded again of the fascinating bit of theoretical cs (long ago prob way outdated now) which wrote about theoretical of classes of Turing machines which could solve the halting problem for a class lower than it, but not its own class. This is also where I got my oracle halting problem solver from.

    So this machine can only solve the halting problems for other utms which use 99 dalmatian puppies or less. (Wait would a fraction of a puppy count? Are puppies Real or Natural? This breaks down if the puppies are Imaginary).

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  • [–] 8 points 1 year ago (2 children)

    Only the word "theoretical" is outdated. The Beeping Busy Beaver problem is hard even with a Halting oracle, and we have a corresponding Beeping Busy Beaver Game.

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  • [–] 6 points 1 year ago

    Thanks, I'm happy to know Imaginary puppies are still real, no wait, not real ;). (The BBB is cool, wasn't aware of it, I don't keep up sadly. "Thus BBB is even more uncomputable than BB." always like that kind of stuff, like the different classes of infinity).

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