I think that it's absurd that we've jumped to the conclusion backpropagation in neural networks should be legally treated the same as human learning.
I mean I don't think think I could find a better description for following the derivatives of error in reproducing a set of works as creating a "derivative work".
I mean I don't think think I could find a better description for following the derivatives of error in reproducing a set of works as creating a "derivative work".