An AGI prediction on the bold end (5 years, because Deep Learning carries us all the way), by @IntuitMachinehttps://medium.com/intuitionmachine/near-term-agi-should-be-considered-as-a-possibility-9bcf276f9b16 …
I think that your objection is possibly valid, and it is not clear to me if current RL can efficiently reach every solution we need, even though it seems not impossible
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Isn't that the crux of the argument? That is that DRL is similarly scalable as DL and therefore there are no more obstacles other than compute? I believe there is a conceptual obstacle, but I don't think it's a big hurdle!
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There is a good chance we're witnessing a second incarnation of the Church-Turing thesis. My main concern is unsupervised learning: would extra compute solve that particular problem? I don't know, but from the outset it would appear as a primarily conceptual obstacle.
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