No, we're beyond that. Black Box neural nets don't depend upon us understanding how they're igniting intelligenesis. Which is good, because we're almost certainly too dim to do so.
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Neural nets will never produce consciousness. Which means it almost certainly will never be smarter than a person.
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It’s not at all clear why this should be the case. What’s so special about the blood-and-goo instantiation of thought-architecture?
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Neural nets are just math. Consciousness requires specialized hardware.
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Replying to @Alrenous @smudgie_buggler and
If neural nets are conscious you could write the formula on a piece of paper and then the paper would be alive.
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This doesn’t follow, as far as I’m concerned. Transcribed software doesn’t compute any function any more than musical notation has pitch or rhythm.
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Replying to @smudgie_buggler @Alrenous and
Perfectly willing to entertain that neural nets themselves aren’t qualia-apt no matter how sophisticated (in fact this seems likely). But if I’m understanding you, you don’t think consciousness is capable of being virtualised by a Turing machine. Why?
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Because encoding is arbitrary. If one Turing machine is conscious, every Turing machine is conscious. And everything is a component of some Turing machine, so everything is multiple consciousnesses. In reality consciousness takes specific, expensive machinery.
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"[C]onsciousness takes specific, expensive machinery." -- This seems extremely evolutionarily improbable.
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Replying to @Outsideness @Alrenous and
You know next to nothing about evolution then. high intelligence has high evolutionary and energy costs. there's a reason so few animals have self awareness and complex methods of communication.
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You're completely misunderstanding the conversation, which begins with @Alrenous committing to the hard problem of consciousness.
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Replying to @Outsideness @Alrenous and
No he is mostly correct in this account. You can have some function that could produce consciousness but it would almost certainly take incredibly specialized and complex hardware to execute because all the breakthroughs in AI have come from simple solutions that scale w/ compute
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