AI is now largely concerned with the creation of models, with each model being specific to a single task. Human learning integrates everything into a single model of the same reality, which we call the universe. Unified learning is the most important open problem in AI.
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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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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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Interesting thoughts. Lately, I've been reading a lot of academic papers on AGI and the nature of consciousness. Some suggest that mind is an illusion; that consciousness is a... 'byproduct' of neurons firing, etc. I'm intrigued by the sheer audacity of that possibility.
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The creation of a true AGI without consciousness would suggest some interesting possibilities as well. 1. That consciousness is not a prerequisite for complex processing. 2. That artificial consciousness is a new form of consciousness, not identical to biological consciousness.
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