Don’t believe the hype: AGI is far from inevitable | Radboud University
www.ru.nl
Will AI soon surpass the human brain? If you ask employees at OpenAI, Google DeepMind and other large tech companies, it is inevitable. However, researchers at Radboud University and other institutes show new proof that those claims are overblown.

Will AI soon surpass the human brain? If you ask employees at OpenAI, Google DeepMind and other large tech companies, it is inevitable. However, researchers at Radboud University and other institutes show new proof that those claims are overblown and unlikely to ever come to fruition. Their findings are published in Computational Brain & Behavior today.

  • 𝙲𝚑𝚊𝚒𝚛𝚖𝚊𝚗 𝙼𝚎𝚘𝚠@programming.dev
    0·
    2 months ago

    If producing an AGI is intractable, why does the human meat-brain exist?

    Ah, but here we have to get pedantic a little bit: producing an AGI through current known methods is intractable.

    The human brain is extremely complex and we still don’t fully know how it works. We don’t know if the way we learn is really analogous to how these AIs learn. We don’t really know if the way we think is analogous to how computers “think”.

    There’s also another argument to be made, that an AGI that matches the currently agreed upon definition is impossible. And I mean that in the broadest sense, e.g. humans don’t fit the definition either. If that’s true, then an AI could perhaps be trained in a tractable amount of time, but this would upend our understanding of human consciousness (perhaps justifyingly so). Maybe we’re overestimating how special we are.

    And then there’s the argument that you already mentioned: it is intractable, but 60 million years, spread over trillions of creatures is long enough. That also suggests that AGI is really hard, and that creating one really isn’t “around the corner” as some enthusiasts claim. For any practical AGI we’d have to finish training in maybe a couple years, not millions of years.

    And maybe we develop some quantum computing breakthrough that gets us where we need to be. Who knows?

    • petrol_sniff_king@lemmy.blahaj.zone
      0·
      1 month ago

      Ah, but here we have to get pedantic a little bit: producing an AGI through current known methods is intractable.

      I didn’t quite understand this at first. I think I was going to say something about the paper leaving the method ambiguous, thus implicating all methods yet unknown, etc, whatever. But yeah, this divide between solvable and “unsolvable” shifts if we ever break NP-hard and have to define some new NP-super-hard category. This does feel like the piece I was missing. Or a piece, anyway.

      e.g. humans don’t fit the definition either.

      I did think about this, and the only reason I reject it is that “human-like or -level” matches our complexity by definition, and we already have a behavior set for a fairly large n. This doesn’t have to mean that we aren’t still below some curve, of course, but I do struggle to imagine how our own complexity wouldn’t still be too large to solve, AGI or not.

      Anyway, the main reason I’m replying again at all is just to make sure I thanked you for getting back to me, haha. This was definitely helpful.