• Petter1@lemm.ee
      link
      fedilink
      English
      arrow-up
      0
      ·
      3 months ago

      So if you want it more like a brain, you would have to have nodes that are able to form the connections while learning letting each node decide in what "direction” it wants to grow it’s connection in some sort, rather than having fixed connections where you only adjust the correlation of the nodes. And you would need multiple transformer (and most likely some hard logic algorithms as well) for different inputs as well as a main "thinker” that decides through which transformer (or algorithm) a input has to go and if the output of that transformer needs to be feeded in again as no input.

      • LANIK2000@lemmy.world
        link
        fedilink
        English
        arrow-up
        0
        ·
        3 months ago

        In theory. Then comes the question of how exactly are you gonna teach/train it. I feel our current approach is too strict for proper intelligence to emerge, but what do I know. I honestly have no clue how such a model could be trained. I guess it would be similar to how people train actual braincells? Tho that field is very immature atm… The neat thing about the human brain is, that it’s already preconfigured for self learning, tho it does come with its own bias on what to learn due to its unique needs and desires.

        • Petter1@lemm.ee
          link
          fedilink
          English
          arrow-up
          0
          ·
          edit-2
          3 months ago

          😁🥳 I’d say, you would then need something that takes the role of hormones in that system (like hardcoded reactions to events in and outside of the AI brain/body(so called emotions I would say)) that trigger the connections to grow, shrink, get their values adjusted etc.

          At least that would be my approach.