• thantik@lemmy.world
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    1 year ago

    Honestly I think we’re going to have to pit AIs against one another in another web of complexity in order to reach AGI. You’re going to need 50 different AIs all deliberating and contradicting and refining output with each one controlling some aspect of the result. I think it’s far too much processing needed at this point in time. LLMs right now are largely just word predictors, but we also see things like diffusors being able to create images, etc. These are distinct problem types, and I think if we develop a separate AI for each generalized problem type, we can utilize them in a way that can predictably output something that we can classify as ‘general intelligence’.

      • drekly@lemmy.world
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        1 year ago

        I just want an offline one that works on my pc without API costs. But then I have an old GPU so that’s a dream

    • kakes@sh.itjust.works
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      1 year ago

      I think we need to shift our paradigm one or two more times before we can start seriously talking about AGI. Current transformer models are impressive, but they’re much better suited to modeling language than what I would call “cognition”.
      I think we’re close, but I don’t think we’ll get there by increasing/improving current technology.

      • thantik@lemmy.world
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        1 year ago

        Hell, honestly – LLMs are smarter than half of the people I know already.