Scientists have been trying to create a “thinking” machine, that is, one that could mimic human thought, since the mid-1950s. They’ve said such a machine is inevitable, but so far they have not come even close to succeeding in having a machine have the common sense possessed by most humans. “The problem of how to turn common sense into a computable algorithm is not just a matter of the total quantity of discrete facts a human being knows, whether explicitly or tacitly. The problem is deeper. Common sense is primarily about how we tell what is relevant, what matters, in a given situation,” writes the author. Throw in “anthropocentric” – human-based – emotions, and the problem gets even more complex. A fascinating exploration of a new book on the topic.
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