• QuadratureSurfer@lemmy.world
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    5 months ago

    Technically, generative AI will always give the same answer when given the same input. But, what happens is a “seed” is mixed in to help randomize things, that way it can give different answers every time even if you ask it the same question.

    • jyte@lemmy.world
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      5 months ago

      What happened to my computers being reliable, predictable, idempotent ? :'(

        • jyte@lemmy.world
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          5 months ago

          Technically they still are, but since you don’t have a hand on the seed, practically they are not.

          • QuadratureSurfer@lemmy.world
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            5 months ago

            OK, but we’re discussing whether computers are “reliable, predictable, idempotent”. Statements like this about computers are generally made when discussing the internal workings of a computer among developers or at even lower levels among computer engineers and such.

            This isn’t something you would say at a higher level for end-users because there are any number of reasons why an application can spit out different outputs even when seemingly given the “same input”.

            And while I could point out that Llama.cpp is open source (so you could just go in and test this by forcing the same seed every time…) it doesn’t matter because your statement effectively boils down to something like this:

            “I clicked the button (input) for the random number generator and got a different number (output) every time, thus computers are not reliable or predictable!”

            If you wanted to make a better argument about computers not always being reliable/predictable, you’re better off pointing at how radiation can flip bits in our electronics (which is one reason why we have implemented checksums and other tools to verify that information hasn’t been altered over time or in transition). Take, for instance, the example of what happened to some voting machines in Belgium in 2003: https://www.businessinsider.com/cosmic-rays-harm-computers-smartphones-2019-7

            Anyway, thanks if you read this far, I enjoy discussing things like this.