Comment by freehorse
18 hours ago
The problem is
1. that artificial neurons are very restrictive model for actual neurons, let alone brain/organism, as there is more going on in neurons than a thresholded 0-1 activation
2. a brain does not function in isolation, but as regulator of the bodily functions (along with even more things). If you look at the brain in isolation to the body you don't really understand fully what it is doing unless you narrow your view a lot. Eg the brain modulates production of hormones, which in turn affects stuff like heart rate which then comes back to the brain as signal, in a feedback loop. Not to mention actual behaviour and interaction with the world. Toy models of organisms are not organisms.
3. "interaction between atoms" (or rather matter in general, as we have to take into account electrons, photons, gravity and a lot of other things that matter) is too general, too big, artificial neurons are a very useful (for applications) abstraction inspired by biological processes, but not modelling said underlying biology fully. Nobody can imo right now know if "computation" is a good model for "atom interactions" as in whether we can adequately enough model "atom interactions" in a computationally tractable way, and surely we do not do that right now except in very narrow scopes, and we have good reasons to believe that the current computational paradigms/turing machines are inadequate in doing that efficiently enough.
I'm going to ask a couple dumb but genuine questions:
Does it matter that neurons are more complex than 0-1? Does the fact that transformer layers don't use purely thresholded 0-1 activation invalidate what you're saying?
How do you know that artificial neurons are less capable of producing consciousness than biological ones? How can other people independently verify this?
How does the embodied nature of human consciousness preclude consciousness emerging from a computational system? What is the definition of consciousness if it is precluded from occurring in a computational system but present in biological systems?
Why do you think exactly modeling interaction between atoms matters for consciousness? And where is the fidelity threshold? Is it the planck length?
Finally, a dumb question: how do we know humans are actually conscious, and where is the threshold between consciousness and unconsciousness? And do these criteria exclude all other forms, or other animals?
Not the person you were asking but IMHO it all reduces to computational complexity, e.g. biological evolution provided the computational efficiencies that ultimately produced conscious minds and beings, whereas it is not obvious what scale of silicon, power or energy, and input data is sufficient for that to happen artificially. But that means my view is it is a matter of it being possible in principle, merely unknown in practice. Also my view is that denying this amounts to violating the Church Turing thesis of computational equivalence ("human brains are not magic, super-Turing, etc."), and I think a lot of talking-past one another in these public disagreements amounts to one side not actually having taken modern CS theory fundamentals enough to be persuaded of these couple of premises.
That's my take on it too, roughly. I think if we get to trillion-parameter models and they don't exhibit what we'd call AGI, however you define it, then the current transformer based systems never will.
But calling them "unconscious" is a pretty high bar. Mice are conscious. The house sparrow pecking in my yard right now is conscious.
>How do you know that artificial neurons are less capable of producing consciousness than biological ones? How can other people independently verify this?
How do you know that toasters or rocks aren't conscious?
The only thing you can do is ask rhetorical questions to make your position seem obvious. Which should tell you how little you understand the thing in question.
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