The gist of this article is that recent AIs have outperformed humans in computer chip design, which may be read as 'the virtuous cycle of AI designing chips for AI," but also has some interesting comments to make about the important role analogy plays in human reasoning. It also discusses intuition as "a very complex and little-understood process that involves experience, unconscious knowledge, pattern recognition, and more." And it considers how these differ when manifest in a reinforcement-learning designed AI as compared to a human. In a nutshell, humans need (and use) modularity in a way that machines don't.
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