Comment on AI trained on AI garbage spits out AI garbage.

• CeeBee_Eh@lemmy.world ⁨2⁩ ⁨months⁩ ago

  That’s a bad analogy, because the calculator wasn’t trained using an artificial neural network literally designed by studying biological brains (aka biological neutral networks).

  And “understand” doesn’t equate to consciousness or sapience. For example, it is entirely and factually correct to state that an LLM is capable of reasoning. That’s not even up for debate. The accuracy of an LLM’s reasoning capability is one of the fundamental benchmarks used for evaluating its quality.

  But that doesn’t mean it’s “thinking” in the way most people consider.

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  • CileTheSane@lemmy.ca ⁨2⁩ ⁨months⁩ ago

    it is entirely and factually correct to state that an LLM is capable of reasoning

    Citation needed.

    If you’re going to tell me LLMs are modeled after biological brains and capable of reasoning then I call bullshit on your claims that you actually work in AI.

    Imagine you put a man in an enclosed room. There is a slot in the wall where messages get passed through written in Chinese. The man does not speak Chinese or even recognize the written language, he just thinks they’re weird symbols.
    First the man is shown examples of sequences of symbols to train him. Then he is shown incomplete sequences and asked which symbol comes next. If incorrect he is corrected, if correct he gets cookie. Eventually this man is able to carry on “conversations” with people in Chinese through continued practice.
    This man still does not speak Chinese, he is not having reasoned, rational arguments with the people he is conversing with, and if you told him it was a language he’s look at you like your crazy. “There’s no language here, just if I have these symbols and I next put the one that looks like a man wearing a hat they give me a cookie.”

    Thinking LLMs are capable of reasoning is the digital equivalent of putting eyes on a pencil then feeling bad when it gets broken in half.

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    • CeeBee_Eh@lemmy.world ⁨2⁩ ⁨months⁩ ago

      Citation needed.

      Certainly!

      In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains

      Source

      A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain.

      Source

      A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain

      Source

      *A neural network, or artificial neural network, is a type of computing architecture that is based on a model of how a human brain functions *

      Source

      Would you like some more citations?

      Thinking LLMs are capable of reasoning is the digital equivalent of putting eyes on a pencil then feeling bad when it gets broken in half.

      In this paper, we present Reasoning via Planning (RAP), a novel LLM reasoning framework that equips LLMs with an ability to reason akin to human-like strategic planning

      Source - Reasoning with Language Model is Planning with World Model

      Motivated by the observation that adding more concise CoT examples in the prompt can improve LLM reasoning performance

      Source - Microsoft Research

      LegalBench - a tool to evaluate the reasoning performance of an LLM in the legal domain.

      A paper on benchmarking an LLMs temporal reasoning.

      Shall I provide some more?

      source

      • CileTheSane@lemmy.ca ⁨2⁩ ⁨months⁩ ago

        Wikipedia is not a source.

        Amazon is not a source.

        Someone trying to sell their LLM to the general public, and therefore simplifying the language to convey a concept is not a source.

        These nodes pass data to each other, just like how in a brain, neurons pass electrical impulses to each other.

        By that definition my dimmer switch functions like a biological brain because it passes electrical impulses.

        In this paper, we present Reasoning via Planning (RAP), a novel LLM reasoning framework that equips LLMs with an ability to reason akin to human-like strategic planning

        This prevents LLMs from performing deliber- ate planning akin to human brains,

        So does not function like a brain does.

        To overcome the limitations, we propose a new LLM reasoning framework

        So it’s a proposal for a new framework to mimic it, not how LLMs currently function

        Aaand I’m going to stop checking your sources now. If you’re just going to gish gallop every link from a search page you think agrees with you I’m not going to waste my time reading things you clearly didn’t bother to. It took 5 links to get to something that even looks like a source, and it doesn’t say what you think it does.

        Read your sources and make sure they say what you think they do. If you present me with another pile of links and the first one is invalid I won’t bother looking at the 2nd.

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