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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    16 hours 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???

    • fishos@lemmy.world
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      9 hours 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, the hundreds of common fallacies we fall prey to… our minds are icredibly 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.

    • Saledovil@sh.itjust.works
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      7 hours 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.

    • AppleTea@lemmy.zip
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      13 hours 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.

      • MangoCats@feddit.it
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        12 hours ago

        Human drivers are only safe when they’re not distracted, emotionally disturbed, intoxicated, and physically challenged (vision, muscle control, etc.) 1% of the population has epilepsy, and a large number of them are in denial or simply don’t realize that they have periodic seizures - until they wake up after their crash.

        So, yeah, AI isn’t perfect either - and it’s not as good as an “ideal” human driver, but at what point will AI be better than a typical/average human driver? Not today, I’d say, but soon…

    • MangoCats@feddit.it
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      12 hours ago

      If an IQ of 100 is average, I’d rate AI at 80 and down for most tasks (and of course it’s more complex than that, but as a starting point…)

      So, if you’re dealing with a filing clerk with a functional IQ of 75 in their role - AI might be a better experience for you.

      Some of the crap that has been published on the internet in the past 20 years comes to an IQ level below 70 IMO - not saying I want more AI because it’s better, just that - relatively speaking - AI is better than some of the pay-for-clickbait garbage that came before it.

    • Puddinghelmet@lemmy.world
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      13 hours 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

      • TangledHyphae@lemmy.world
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        13 hours 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.

        • MangoCats@feddit.it
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          12 hours ago

          But, are these 1.7 trillion neuron networks available to drive YOUR car? Or are they time-shared among thousands or millions of users?

        • AppleTea@lemmy.zip
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          13 hours ago

          It’s when you start including structures within cells that the complexity moves beyond anything we’re currently capable of computing.

            • MangoCats@feddit.it
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              12 hours ago

              Nah, I went to public high school - I got to see “the average” citizen who is now voting. While it is distressing that my ex-classmates now seem to control the White House, Congress and Supreme Court, what they’re doing with it is not surprising at all - they’ve been talking this shit since the 1980s.