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 …
The argument is based on the insight that neural networks can represent any computable function, and the hypothesis that RL can approximate all the functions we need. Even if our RL algorithms are not very efficient, we may possibly derive better ones with RL.
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I understand that now. Was not my original takeaway. Apologies for the confusion.
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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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