The gist of this article is that the study of artificial neural networks - such as those used in large language models - can help in our understanding of the brain in a way that neuroscience itself has been unable to thus far. What makes it work is that, provided the networks have a sufficient base configuration, they can emulate many areas of human (and animal) cognition, including, for example, vision and image recognition. Good stuff here, and this article supports in a way the assumptions underlying the theory of connectivism George Siemens and I were on about some 15 years ago.
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