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AI's success supports cognition theory, blending innate and learned factors

A book on the philosophy of AI posits that human cognition is a blend of innate and learned factors, leaning more towards learned capabilities. The author suggests that the advancements in AI support this perspective, highlighting that life can fluidly shift cognitive effort between these modes. This view is particularly relevant when considering neural networks not just as models of human minds, but also as potential models of evolved biological mechanisms. AI

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IMPACT AI's success may offer new perspectives on the fundamental nature of cognition, suggesting a more fluid interplay between innate and learned processes.

RANK_REASON The cluster contains an opinion piece discussing AI's implications for cognitive theory, rather than a direct AI release or research finding.

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  1. Mastodon — sigmoid.social TIER_1 · [email protected] ·

    I like that my "philosophy of AI" book argues that human cognition lies somewhere between innate and learned--more towards the learned side, with the innate bit

    I like that my "philosophy of AI" book argues that human cognition lies somewhere between innate and learned--more towards the learned side, with the innate bits mostly being general-purpose faculties and inductive bias. He argues that the success of AI supports this view, and it…