No. Not with the architectures and approaches we currently use for machine learning, no matter how large you make the network nor the training set.
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The point is that ML approaches used today, used the way they're intended to be used, aren't going to solve AI and MT, because they can't do that without embedding a completely new approach into them that would make the entire ML part pointless.
