cross-posted from: https://lemmy.ml/post/20858435

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.

  • @ContrarianTrail@lemm.ee
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    7 hours ago

    AGI is inevitable unless:

    1. General intelligence is substrate independent and what the brain does cannot be replicated in silica. However, since both are made of matter, and matter obeys the laws of physics, I see no reason to assume this.

    2. We destroy ourselves before we reach AGI.

    Other than that, we will keep incrementally improving our technology and it’s only a matter of time untill we get there. May take 5 years, 50 or 500 but it seems pretty inevitable to me.

    • Michał "rysiek" Woźniak · 🇺🇦
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      6 hours ago

      @ContrarianTrail @JRepin well I guess somebody would first need to clearly define what “AGI” is. Currently it’s just “whatever the techbro hypers want it to be”.

      And then there’s the matter (ha!) of your assumption that we understand all laws of physics necessary that “matter obeys”, or that we can reasonably understand them. That’s a pretty strong assumption: individual human minds are pretty limited and communication adds overhead, and we might reach a point where we’re stuck.

      • @ContrarianTrail@lemm.ee
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        76 hours ago

        A chess engine is intelligent in one thing: playing chess. That narrow intelligence doesn’t translate to any other skill, even if it’s sometimes superhuman at that one task, like a calculator.

        Humans, on the other hand, are generally intelligent. We can perform a variety of cognitive tasks that are unrelated to each other, with our only limitations being the physical ones of our “meat computer.”

        Artificial General Intelligence (AGI) is the artificial version of human cognitive capabilities, but without the brain’s limitations. It should be noted that AGI is not synonymous with AI. AGI is a type of AI, but not all AI is generally intelligent. The next step from AGI would be Artificial Super Intelligence (ASI), which would not only be generally intelligent but also superhumanly so. This is what the “AI doomers” are concerned about.

  • kbal
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    139 hours ago

    Meh. It’s not a problem of scale. It’s a problem of we have no idea how the fuck to do that. Scaling up existing techniques is neither necessary nor sufficient.

  • @Steve@communick.news
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    59 hours ago

    Will AI soon surpass the human brain?
    If you ask employees at OpenAI, Google DeepMind and other large tech companies, it is inevitable.

    That doesn’t answer the question.
    If it will happen is unrelated to When it will happen.
    I’d expect we’ll see AGI some time between the next 20 and 200 years. I think that’s pretty soon. You may not.

    • @ContrarianTrail@lemm.ee
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      27 hours ago

      If there were a giant asteroid hurling toward Earth, set to impact sometime in the next 20 to 200 years, I’d say there’s definitely a need for urgency. A true AGI is somewhat of an asteroidal impact in itself.

  • @TranquilTurbulence@lemmy.zip
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    10 hours ago

    Sounds really counterintuitive to say that it’s impossible.

    The article says that we would run out of computing power, and that’s definitely true for current hardware and software. It’s just that they are being developed all the time, so I think we need to leave that door open. Who knows how efficient things can get within the next decade or century. The article didn’t even mention any fundamental obstacle that would make AGI completely impossible. It’s not like AGI would be violating the laws of physics.

    • @ContrarianTrail@lemm.ee
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      37 hours ago

      The fact that human brain is capable of general intelligence tells us everything we need to know about the processing power needed to run one.

      • EamonnMR
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        15 hours ago

        Well it sets an upper bound on compute requirements at ‘simulate 10^27 atoms for thirty years’ remains to be seen if what we can optimize away ever converges with what’s feasible to build.

    • @JackOverlord@beehaw.org
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      912 hours ago

      Whenever I hear someone say that something is impossible with current technology, I think about my grandma. When she was a kid, only some important people had telephones. Doctors, police, etc.

      In her lifetime we went from that to today, and, since she’s still alive, even further into the future.

      Whenever someone calls something impossible, I think about how far technology will progress in my own lifetime and I know that they’ve got no idea what they’re talking about. (Unless, like you said, it’s against the laws of physics. But sometimes even then I’m not so sure, cause it’s not like we understand those entirely. )

      • @DdCno1@beehaw.org
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        59 hours ago

        The thing is, we have no idea where technological progress is taking us. So far, most predictions have been wrong. 50 to 60 years ago, people thought we would already be colonizing other planets by now. Barely anyone was able to predict the Internet, smartphones, social media, etc. - the kind of technology that is actually shaping our civilization’s future right now.

        Another aspect that I feel is often neglected is the assumption that technological progress will continue forever or at least continue at this current rapid pace. This wasn’t true in the past and we might simply be experiencing a historical anomaly right now, one that could correct itself very soon in the future, either towards stagnation or even regression.

        • The space example is extremely apt. Its possible we could have had tons of space stations, a moon colony, maybe even some other stuff going on around the solar system, asteroid mining, etc. But thay would have at least required the space race to continue longer and for spending to grow to create a big enoigh industry to ensure thay outcome, assuming no capacity or time issue. Alas, we took another path.

          Something that seems important to us might not matter in even 10 years, or at least, not have a monetary and/or societal incentive to keep advancing.

          • @DdCno1@beehaw.org
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            1 hour ago

            I was also based on the assumption that the rapid progress of aerospace technology that happened in the 1920s to 1960s would continue onward at the same pace, whereas what actually happened was that barriers emerged that nobody was able to circumvent, like for example engineering things to withstand incredibly abrasive Moon dust (or really do anything productive on that lifeless rock), how to deal with the endless pitfalls of a long Mars journey, how to bring down the cost of launch vehicles so that grand projects like giant space stations would even be remotely possible (von Braun was already thinking about huge space stations all the way back in 1945). Many of these issues couldn’t simply be solved by throwing more money at them, which is important. Deciders, both in Washington and Moscow, were smart enough to realize this in the 1970s, for the most part at least (the Space Shuttle and its Soviet clone, each a gigantic waste of money, are major counter example from this era).

            The point I’m making here is that everyone assumed linear progress in this area, just like there are people currently making many billion dollar bets on linear progress in regards to computer technology in general and AI in particular, but at least, with the benefit of hindsight given past examples, there’s a reasonable amount of doubt this time around.

        • @sydneybrokeit@beehaw.org
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          16 hours ago

          This wasn’t true in the past and we might simply be experiencing a historical anomaly right now

          While our exact pacing might be slightly different from the pure extrapolation, human history has been a long, steady increase in the rate of invention. Access to education has meant that more people are making things, and then the next generations build on top of their work to make even bigger things.

        • @megopie@beehaw.org
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          37 hours ago

          I love the flying car example because it reveals a huge issue with the whole “tech will get better” idea. People are still trying to make flying cars happen but it’s running in to the same fundamental issues; large things that are mechanically complex, energy intensive, and moving at high speeds in a crowded urban environments are just too expensive and dangerous.

          There is no way around the physical realities, no clever trick or efficiency that will push it over some threshold of practicality.

      • massive_bereavement
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        612 hours ago

        Let’s put it this way: If in our lifetime we can simulate the intelligence of a vinegar fly as general intelligence, that would be a monumental landmark in AGI. And we’re far, far, far away from it.

        As far as the iron age was from the metal alloys used in the Space Shuttle.

        Talking about AGI simulating higher intelligence at the level of a dog or a cat, dear I say a pigeon or a crow is as far fetched as expecting ancient Egyptians to harness the power of the atom.

        • @JackOverlord@beehaw.org
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          11 hours ago

          Let’s put it this way: If in our lifetime we can simulate the intelligence of a vinegar fly as general intelligence, that would be a monumental landmark in AGI. And we’re far, far, far away from it.

          I get what you mean here and I agree with it, if we’re talking about current “AI”, which isn’t anywhere close. I know, because I’ve programmed some simple “AIs” (Mainly ML models) myself.

          But your comparison to ancient egypt is somewhat lacking, considering we had the aptly named dark ages between then and now.

          Lot’s of knowledge got lost all the time during humanity’s history, but ever since the printing press, and more recently the internet, came into existence, this problem has all but disappeared. As long as humanity doesn’t nuke itself back to said dark ages, I recon we aren’t that far away from AGI, or at least something close to it. Maybe not in my lifetime, but another ~2000 years seems a little extreme.

      • @TranquilTurbulence@lemmy.zip
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        10 hours ago

        Could take a while, but how long? Progress tends to be non-linear, so things can slow down and speed up suddenly. I’m pretty sure we’ll get there sooner or later unless we nuke ourselves to oblivion before that.

        If AI development isn’t prioritized, it could take centuries. Maybe we’re still missing some crucial corner stores we haven’t even thought of yet. Just imagine what it was like to build an airplane in an age when the internal combustion engine hadn’t been invented yet. Maybe we’re still missing something that big. On the other hand, it could also be just around the corner, but I find it unlikely.

    • Vodulas [they/them]
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      29 hours ago

      Not really a good comparison. The steam engine was an extant technology at that point. AGI is not, and we really no idea if/when it will be. One thing is clear though, it is not as close on the horizon as tech bros want us to think it is.

  • @Aggravationstation@feddit.uk
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    312 hours ago

    Possible or not I don’t think we’ll get to the point of AGI. I’m pretty sure at some point someone will do something monumentally stupid with AI that will wipe out humanity.

      • Maybe. But I have a feeling it’ll be a dumb single mistake that’ll make someone say “ah, shit” just before we’re wiped out.

        When the Soviets trained anti-tank dogs in WW2 they did so on tanks that weren’t running to save fuel: “Their deployment revealed some serious problems… In the field, the dogs refused to dive under moving tanks.” https://en.m.wikipedia.org/wiki/Anti-tank_dog

        History is littered with these kinds of mistakes. It would only take one military AI with access to autonomous weapons to have a similar issue in it’s training data to potentially kill us all.