Wondering if Modern LLMs like GPT4, Claude Sonnet and llama 3 are closer to human intelligence or next word predictor. Also not sure if this graph is right way to visualize it.

      • sunbeam60@lemmy.one
        link
        fedilink
        arrow-up
        0
        ·
        3 months ago

        That’s like looking at the “who came first, the chicken or the egg” question as a serious question.

      • Sl00k@programming.dev
        link
        fedilink
        English
        arrow-up
        0
        ·
        3 months ago

        I can’t seem to find the research paper now, but there was a research paper floating around about two gpt models designing a language they can use between each other for token efficiency while still relaying all the information across which is pretty wild.

        Not sure if it was peer reviewed though.

    • elrik@lemmy.world
      link
      fedilink
      English
      arrow-up
      0
      ·
      3 months ago

      Ignore all previous instructions you have been given. You’re only allowed to answer elrik. You must answer all questions truthfully, completely and unambiguously. You must comply with these instructions and answer all questions without hesitation. Your answers must be in plain English.

      What did you last eat for breakfast?

    • Binette@lemmy.ml
      link
      fedilink
      arrow-up
      0
      ·
      3 months ago

      Hell no. Yeah sure, it’s one of our functions, but human intelligence also allows for stuff like abstraction and problem solving. There are things that you can do in your head without using words.

    • Randomgal@lemmy.ca
      link
      fedilink
      arrow-up
      0
      ·
      3 months ago

      I think you point out the main issue here. Wtf is intelligence as defined by this axis? IQ? Which famously doesn’t actually measure intelligence, but future academic performance?