This short book contains an essay about how neural networks work in large language models. The author conveys his enthusiasm for the recent human-like performance of ChatGPT in text creation. He also asks some interesting speculative questions about what this might mean for language theory. Could there be hitherto unknown scientific laws of language that large language models have now learned to tap into? I don't know if I learned all that much about what ChatGPT is doing, but this essay is nevertheless an interesting read about new developments which might in the long run be more revolutionary from a scientific perspective than we have yet realized.

At the end of the book there's a shorter essay about how ChatGPT could be married with the author's own Wolfram Language. This one is quite confusing - the author just repeats again and again that great benefits could be reaped by marrying these two systems. But he does not provide any interesting examples of these benefits. The point may be valid for all I know, but I'm not sure why he felt the need to publish a bad essay about it. The most plausible explanation is that this second essay was actually written by ChatGPT.