Give it time. If we're going to compare narrow A.I. to humans after only a few years of evolution, narrow A.I. is markedly ahead in its development.
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If AGI existed and evolved to its full potential, it would likely consider human intelligence as "narrow".
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I consider the intelligence of dogs, for example, to be general. General or narrow isn't about doing everything humans can do, it's about the ability to override previously learned models arbitrarily.
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and for me, that's when life gets a little scary. i prefer narrow AI over AGI. if you follow the rabbit hole far enough AGI is no longer AI - it's human. what kind of humanity is a whole different donut.
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For what it's worth, I view the development of artificial beings as an extension of humanity. I don't think humanity is about being a "meat bag".
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Perhaps we're not just meat bags. Although, if
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We are not meat bags. We are minds that identify as meat bags.
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Edsger Dijkstra: "The question of whether machines can think is about as relevant as the question of whether submarines can swim." Yet we keep playing the imitation game: asking how closely machine intelligence can duplicate our own intelligence, as if that is the real point.
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Replying to @AntoineDennison @Plinz and
I find this quote reassuring. It allows me to get on with the business of developing deep learning models without being constrained with philosophical distractions. I can envision 1,000 narrow AI's working in tandem to approximate AGI. For my part, that would serve just as well.
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The development of machine learning tools/models and the development of artificial minds relate to each other as writing a text editor and writing a novel. Both are relevant, and take place in the same space, but they are quite different tasks.
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Thanks for the clarification.
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