And the inflated fanboyism.
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I know very few researchers that have ever argued that the current methods of machine learning can carry us all the way. I am seeing mostly anti hype, but it is possible that outside of academia, the world looks different.
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I think that intelligence is the ability to model, usually in the service of motivational regulation. Motivation is relatively easy to build, the hard thing is universality of modeling. But the limits of even just the currents methods are not known afaik.
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It's ultimately only an approximation. Errors are bound to occur.
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Sometimes the approximation process discovers the global optimum.
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