[deeznuttynutz]

I've read it and think it gives great historical perspective to the field. It is important that one understands the successful/unsuccessful methods and subfields developed since Turing's paper. IMO it is hard to appreciate the modern advances without the big picture. Some of the classic symbolic techniques combined with modern ML architectures may come full circle towards solving AGI in the way that NN came back to become the foundation of machine learning.