This suggests that deep learning is an approach that could be made or is already conceptually general enough to learn everything there is to learn (assuming sufficient time and resources). Thus it could already be used as the base algorithm of a self-optimizing AGI.
The paper is interesting, but I don’t think that the authors make this claim or that this claim is suggested by the paper.
The paper is interesting, but I don’t think that the authors make this claim or that this claim is suggested by the paper.
Agreed. This suggestion is made by me. I will clarify this in the post.