
By 2028, AI can learn to efficiently sort lists of numbers much larger than in any training set used
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Learn to efficiently sort lists of numbers much larger than in any
training set used, the way Neural GPUs can do for additionbut without being given the form of the solution.
For context, the original Neural Turing Machines could not do this,
but Neural Programmer-Interpreters have been able to do this by
training on stack traces (which contain a lot of information about
the form of the solution).
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