Does "instead" imply there is a way to analyze or learn from external data with no model comparison in the mind, or, is it just a reminder that mental models are always involved in the process?
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Most of machine learning is entirely on the data level. Efforts to mostly learn from existing models are only just beginning.
End of conversation
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Do we want to go another way? More authentic? Why?
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No, I am just trying to think about the nature of reasoning in the context of machine learning, and cognition in general.
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