A prevailing sentiment online is that GPT-4 still does not understand what it talks about. We can argue semantics over what “understanding” truly means. I think it’s useful, at least today, to draw the line at whether GPT-4 has succesfully modeled parts of the world. Is it just picking words and connecting them with correct grammar? Or does the token selection actually reflect parts of the physical world? One of the most remarkable things I’ve heard about GPT-4 comes from an episode of This American Life titled “Greetings, People of Earth”.
  • BitSound@lemmy.world
    31·
    10 months ago

    processed into a script for ELIZA

    That wouldn’t accomplish anything. I don’t know why the OP brought it up, and that subject should just get dropped. Also yes, you can use your intelligence to string together multiple tools to accomplish a particular task. Or you can use the intelligence of GPT-4 to accomplish the same task, without any other tools

    LLMs lack the capability of understanding and comprehension

    Also not true

    states that it is not using an accepted definition of intelligence.

    Nowhere does it state that. It says “There is no generally agreed upon definition of intelligence”. I’m not sure why you’re bringing up a physical good such as leather here. Two things: a) grab a microscope and inspect GPT-4. The comparison doesn’t make sense. b) “Is” should be banned, it encourages lazy thought and pointless discussion (Yes I’m guilty of it in this comment, but it helps when you really start asking what “is” means in context). You’re wandering into p-zombie territory, and my answer is that “is” means nothing. GPT-4 displays behaviors that are useful because of their intelligence, and nothing else matters from a practical standpoint.

    it is clear that LLMs may be useful components in building actual general intelligence.

    You’re staring the actual general intelligence in the face already, there’s no need to speculate about perhaps being components. There’s no reason right now to think that we need anything more than better compute. The actual general intelligence is yet a baby, and has experienced the world through the tiny funnel of human text, but that will change with hardware advances. Let’s see what happens with a few orders of magnitude more computing power.