This article conflates two separate, very different issues into one: * Issue #1: There is a tremendous amount of hype, noise, and snake oil surrounding the mon

This article conflates two separate, very different issues into one: * Issue #1: There is a tremendous amount of hype, noise, and snake oil surrounding the moniker "AI." Pretty much everyone agrees with this statement. (And anyone who doesn't agree with it... is probably selling snake oil.) * Issue #2: Is intelligence just a form of "curve fitting," i.e., is it just finding solutions to very complicated, high-dimensional problems with more and more computation via search and self-play? Note that DL via SGD is a form of learning via search, RL via state-action-reward mechanisms is a form of learning via search, and multi-model/multi-agent DL/RL are forms of learning via search with self-play.) There is sharp disagreement on the answer to this question #2. Is that really all there is to intelligence? The OP believes the answer to #2 is no: intelligence ought to be more than "curve fitting" via search and self-play. Others believe the answer to #2 is yes. For a typical example of their thinking, here's Rich Sutton, Distinguished Research Scientist at DeepMind: http://www.incompleteideas.net/IncIdeas/BitterLesson.html http://www.incompleteideas.net/IncIdeas/BitterLesson.html