Even deeper problems with neural network models of language

Behavioral and Brain Sciences 46:e387 (2023)
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Abstract

We recognize today's deep neural network (DNN) models of language behaviors as engineering achievements. However, what we know intuitively and scientifically about language shows that what DNNs are and how they are trained on bare texts, makes them poor models of mind and brain for language organization, as it interacts with infant biology, maturation, experience, unique principles, and natural law.

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A Miracle Creed: The Principle of Optimality in Leibniz's Physics and Philosophy.Jeffrey K. McDonough - 2022 - New York,NY, United States of America: Oxford University Press.

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