Machines use their own intelligence

Google’s AlphaGo relied on processing power and data storage, writes Daniel Susskind ©AFP There are many ways of being smart that aren’t smart like us.” These are the words of Patrick Winston, a leading voice in the field of artificial intelligence. Although his idea is simple, its significance has been lost on most people thinking about the future of work. Yet this is the feature of AI that ought to preoccupy us the most. From the 1950s to the 1980s, during the “first wave” of AI research, it was generally thought that the best way to build systems capable of performing tasks to the level of human experts or higher was to copy the way that experts worked. But there was a problem: human experts often struggled to articulate how…


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