We are constantly fed a version of AI that looks, sounds and acts suspiciously like us. It speaks in polished sentences, mimics emotions, expresses curiosity, claims to feel compassion, even dabbles in what it calls creativity.

But what we call AI today is nothing more than a statistical machine: a digital parrot regurgitating patterns mined from oceans of human data (the situation hasn’t changed much since it was discussed here five years ago). When it writes an answer to a question, it literally just guesses which letter and word will come next in a sequence – based on the data it’s been trained on.

This means AI has no understanding. No consciousness. No knowledge in any real, human sense. Just pure probability-driven, engineered brilliance — nothing more, and nothing less.

So why is a real “thinking” AI likely impossible? Because it’s bodiless. It has no senses, no flesh, no nerves, no pain, no pleasure. It doesn’t hunger, desire or fear. And because there is no cognition — not a shred — there’s a fundamental gap between the data it consumes (data born out of human feelings and experience) and what it can do with them.

Philosopher David Chalmers calls the mysterious mechanism underlying the relationship between our physical body and consciousness the “hard problem of consciousness”. Eminent scientists have recently hypothesised that consciousness actually emerges from the integration of internal, mental states with sensory representations (such as changes in heart rate, sweating and much more).

Given the paramount importance of the human senses and emotion for consciousness to “happen”, there is a profound and probably irreconcilable disconnect between general AI, the machine, and consciousness, a human phenomenon.

https://archive.ph/Fapar

  • scarabic@lemmy.world
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    9 months ago

    My thing is that I don’t think most humans are much more than this. We too regurgitate what we have absorbed in the past. Our brains are not hard logic engines but “best guess” boxes and they base those guesses on past experience and probability of success. We make choices before we are aware of them and then apply rationalizations after the fact to back them up - is that true “reasoning?”

    It’s similar to the debate about self driving cars. Are they perfectly safe? No, but have you seen human drivers???

    • AppleTea@lemmy.zip
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      9 months ago

      Self Driving is only safer than people in absolutely pristine road conditions with no inclement weather and no construction. As soon as anything disrupts “normal” road conditions, self driving becomes significantly more dangerous than a human driving.

        • jj4211@lemmy.world
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          9 months ago

          I think the self driving is likely to be safer in the most boring scenarios, the sort of situations where a human driver can get complacent because things have been going so well for the past hour of freeway driving. The self driving is kind of dumb, but it’s at least consistently paying attention, and literally has eyes in the back of it’s head.

          However, there’s so much data about how it fails in stupidly obvious ways that it shouldn’t, so you still need the human attention to cover the more anomalous scenarios that foul self driving.

            • jj4211@lemmy.world
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              9 months ago

              Yes, as common as that is, in the scheme of driving it is relatively anomolous.

              By hours in car, most of the time is spent on a freeway driving between two lines either at cruising speed or in a traffic jam. The most mind numbing things for a human, pretty comfortably in the wheel house of driving.

              Once you are dealing with pedestrians, signs, intersections, etc, all those despite ‘common’ are anomolous enough to be dramatically more tricky for these systems.

      • scarabic@lemmy.world
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        9 months ago

        Yes of course edge and corner cases are going to take much longer to train on because they don’t occur as often. But as soon as one self-driving car learns how to handle one of them, they ALL know. Meanwhile humans continue to be born and must be trained up individually and they continue to make stupid mistakes like not using their signal and checking their mirrors.

        Humans CAN handle cases that AI doesn’t know how to, yet, but humans often fail in inclement weather, around construction, etc etc.

    • fishos@lemmy.world
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      9 months ago

      I’ve been thinking this for awhile. When people say “AI isn’t really that smart, it’s just doing pattern recognition” all I can help but think is “don’t you realize that is one of the most commonly brought up traits concerning the human mind?” Pareidolia is literally the tendency to see faces in things because the human mind is constantly looking for the “face pattern”. Humans are at least 90% regurgitating previous data. It’s literally why you’re supposed to read and interact with babies so much. It’s how you learn “red glowy thing is hot”. It’s why education and access to knowledge is so important. It’s every annoying person who has endless “did you know?” facts. Science is literally “look at previous data, iterate a little bit, look at new data”.

      None of what AI is doing is truly novel or different. But we’ve placed the human mind on this pedestal despite all the evidence to the contrary. Eyewitness testimony, optical illusions, magic tricks, the hundreds of common fallacies we fall prey to… our minds are incredibly fallible and are really just a hodgepodge of processes masquerading as “intelligence”. We’re a bunch of instincts in a trenchcoat. To think AI isn’t or can’t reach our level is just hubris. A trait that probably is more unique to humans.

      • scarabic@lemmy.world
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        9 months ago

        Yep we are on the same page. At our best, we can reach higher than regurgitating patterns. I’m talking about things like the scientific method and everything we’ve learned by it. But still, that’s a 5% minority, at best, of what’s going on between human ears.

    • Saledovil@sh.itjust.works
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      9 months ago

      Ai models are trained on basically the entirety of the internet, and more. Humans learn to speak on much less info. So, there’s likely a huge difference in how human brains and LLMs work.

      • scarabic@lemmy.world
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        9 months ago

        It doesn’t take the entirety of the internet just for an LLM to respond in English. It could do so with far less. But it also has the entirety of the internet which arguably makes it superior to a human in breadth of information.

    • Auli@lemmy.ca
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      9 months ago

      Get a self driven ng car to drive in a snow storm or a torrential downpour. People are really downplaying humans abilities.

    • Puddinghelmet@lemmy.world
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      9 months ago

      Human brains are much more complex than a mirroring script xD The amount of neurons in your brain, AI and supercomputers only have a fraction of that. But you’re right, for you its not much different than AI probably

      • scarabic@lemmy.world
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        9 months ago

        I’m pretty sure an AI could throw out a lazy straw man and ad hominem as quickly as you did.

      • TangledHyphae@lemmy.world
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        9 months ago

        The human brain contains roughly 86 billion neurons, while ChatGPT, a large language model, has 175 billion parameters (often referred to as “artificial neurons” in the context of neural networks). While ChatGPT has more “neurons” in this sense, it’s important to note that these are not the same as biological neurons, and the comparison is not straightforward.

        86 billion neurons in the human brain isn’t that much compared to some of the larger 1.7 trillion neuron neural networks though.