• 0 Posts
  • 10 Comments
Joined 2 years ago
cake
Cake day: June 22nd, 2023

help-circle

  • masterspace@lemmy.catomemes@lemmy.worldFate, it seems, is not without a sense of irony
    link
    fedilink
    English
    arrow-up
    3
    arrow-down
    1
    ·
    edit-2
    22 hours ago

    The distinction is that it’s not ‘something to do with neurons’, it’s ‘neurons firing and signalling each other’.

    Like, we know the exact mechanism by which thinking happens, we just don’t know the precise wiring pattern necessary to recreate the way that we think in particular.

    And previously, we couldn’t effectively simulate that mechanism with computer chips, now we can.




  • I mean, no, not really. We know what thinking is. It’s neurons firing in your brain in varying patterns.

    What we don’t know is the exact wiring of those neurons in our brain. So that’s the current challenge.

    But previously, we couldn’t even effectively simulate neurons firing in a brain, AI algorithms are called that because they effectively can simulate the way that neurons fire (just using silicon) and that makes them really good at all the fuzzy pattern matching problems that computers used to be really bad at.

    So now the challenge is figuring out the wiring of our brains, and/or figuring out a way of creating intelligence that doesn’t use the wiring of our brains. Both are entirely possible now that we can experiment and build and combine simulated neurons at ballpark the same scale as the human brain.


  • When I heard that line I was like “Yeah, sure. We’ll never have AI in my lifespan” and you know what? I was right.

    Unless you just died or are about to, you can’t really confidently make that statement.

    There’s no technical reason to think we won’t in the next ~20-50 years. We may not, and there may be a technical reason why we can’t, but the previous big technical hurdles were the amount of compute needed and that computers couldn’t handle fuzzy pattern matching, but modern AI has effectively found a way of solving the pattern matching problem, and current large models like ChatGPT model more “neurons” than are in the human brain, let alone the power that will be available to them in 30 years.