As artificial intelligence becomes more sophisticated, much of the public attention has focused on how successfully these technologies can compete against humans at chess and other strategy games. A philosopher has taken a different approach, deconstructing the complex neural networks used in machine learning to shed light on how humans process abstract learning.
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