• masterplan79th@lemmy.world
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    20 days ago

    When you ask an LLM a reasoning question. You’re not expecting it to think for you, you’re expecting that it has crawled multiple people asking semantically the same question and getting semantically the same answer, from other people, that are now encoded in its vectors.

    That’s why you can ask it. because it encodes semantics.

    • ebu@awful.systems
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      20 days ago

      because it encodes semantics.

      if it really did so, performance wouldn’t swing up or down when you change syntactic or symbolic elements of problems. the only information encoded is language-statistical

    • self@awful.systems
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      20 days ago

      thank you for bravely rushing in and providing yet another counterexample to the “but nobody’s actually stupid enough to think they’re anything more than statistical language generators” talking point

    • leftzero@lemmynsfw.com
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      20 days ago

      Paraphrasing Neil Gaiman, LLMs don’t give you information; they give you information shaped sentences.

      They don’t encode semantics. They encode the statistical likelihood that each token will follow a given sequence of tokens.

      • LainTrain@lemmy.dbzer0.com
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        20 days ago

        It’s worth pointing out that it does happen to reconstruct information remarkably well considering it’s just likelihood. They’re pretty useful tools like any other, it’s funny ofc to watch silicon valley stumble all over each other chasing the next smartphone.

        • V0ldek@awful.systems
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          18 days ago

          The only remarkable thing is how fucking easy it is to convince the median consumer that vaguely-correct-shape sentences are correct.

    • V0ldek@awful.systems
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      18 days ago

      because it encodes semantics.

      Please enlighten me on how? I admit I don’t know all the internals of the transformer model, but from what I know it encodes precisely only syntactical information, i.e. what next syntactical token is most likely to follow based on a syntactical context window.

      How does it encode semantics? What is the semantics that it encodes? I doubt they have denatotational or operational semantics of natural language, I don’t think something like that even exists, so it has to be some smaller model. Actually, it would be enlightening if you could tell me at least what the semantical domain here is, because I don’t think there’s any naturally obvious choice for that.

    • sc_griffith@awful.systems
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      19 days ago

      guy who totally gets what these words mean: “an llm simply encodes the semantics into the vectors”

      • self@awful.systems
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        19 days ago

        all you gotta do is, you know, ground the symbols, and as long as you’re writing enough Lisp that should be sufficient for GAI