Deep learning is useful because it enables us to create programs that we could not otherwise code by hand. But the space of programs you can learn via deep learning models is a minuscule slice of the space of programs that we may be interested in.
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Future AI that isn't based on ML, you mean?
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do you have any examples for such programs?
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Category theory gave us access to this level of abstraction that let us control & reflect on true structure/relations of our programs, AI/DL should give access to this deeper understanding of programs we humans can't catch easily & let us reflect about their structure & relations
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