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As such, attempting to study generalization by fitting models to random data is a category error, since such data offers no possibility of generalization. To understand generalization, you must look at the relationship between models and natural data manifolds.
In the future, AI will be capable of extrapolation, not just interpolation, i.e. broad generalization, & further, general intelligence. This is an endeavor entirely orthogonal to interpolation / curve fitting, which will be achieved through an entirely different set of techniques
Of course, interpolation & pattern recognition are nevertheless a fundamental component of intelligence -- just not the most powerful. Being able to do it well -- by refining deep learning -- is immensely valuable
It won't be able to extrapolate non-linearly.
AGI for any type of intelligence or only analytical ? :-)
Would “thinking outside the box” be a fair metaphor ? Of course, just because you are thinking outside of a particular box doesn’t mean you’re not still within a larger box, IOW: how general would that general intelligence be?
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