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Excerpt from TechCrunch -- "The difficulty with learning machines arises because they train themselves on what they see, the 'training data,' that cannot completely represent situations the machine will see in the future. These are sometimes called 'edge cases' or 'Rumsfeldian unknowns,' in that they are unknowable in advance. Humans typically deal with such edge cases remarkably well with no prior 'training' by applying common sense or finding analogies and learning from these samples of one."

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