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A comment on The Principles of Deep Learning Theory. Parent comment

Re:The Principles of Deep Learning Theory by PaulDavisThe1st on Saturday April 16, 2022 @11:37AM (#31053136)
> So what i'm interested in is machine systems for which we have (1) no prior specification of the environment; and which in the end (2) anticipate permutations in the environment which arent specified.

But there are no biological systems that do this either (other than to the extent that by virtue of their embodiement, they may necessarily come more of a builtin "understanding" of the (physical) environment)).

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Re:The Principles of Deep Learning Theory by mjburgess on Saturday April 16, 2022 @01:27PM (#31054193)
Yes, I dont think intelligence is cognitive -- it's the content of cognition. Where does that come from? Essentially our bio-organic structure as distributed across the body, and esp. motor cortext.

In otherwords, the AI problem is unsolvable by any system. It's the wrong problem. Cognition, as a formal structure, isnt intelligent.

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Re:The Principles of Deep Learning Theory by webmaven on Saturday April 16, 2022 @02:55PM (#31055033)
> Yes, I dont think intelligence is cognitive -- it's the content of cognition. Where does that come from? Essentially our bio-organic structure as distributed across the body, and esp. motor cortext.

All right, so where does that (the organic structure including the motor cortex that creates cognition) come from?

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