Kurt Gödel (1906–1978) proved that there are truths in mathematical logic that lie outside mathematical logic, which means that the mind cannot be understood simply as a computer.
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Popular culture is looking for high-tech ETs to be its saviors and Silicon Valley aspires to become those ETs. What could possibly go wrong?
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Machine learning is not a new technique, but is simply a modern extension of a tool that we have had in our toolbox since the days of the Babylonians. It continues to serve us well to help us extrapolate our data to estimate the value of unknown results and to help find the signal in noisy data.
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The idea that machines are capable of replacing us is the topic of many books he has read but, he argues, the thing that really distinguishes us is the capacity for developing creative freedom.
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Does artificial intelligence “share our natural ability to make numeric snap judgments”? Researchers observed this knack for numbers in a computer model composed of virtual brain cells, or neurons, called an artificial neural network. After being trained merely to identify objects in images — a common task for AI — the network developed virtual neurons that respond to specific quantities. These artificial neurons are reminiscent of the “number neurons” thought to give humans, birds, bees and other creatures the innate ability to estimate the number of items in a set (SN: 7/7/18, p. 7). This intuition is known as number sense. Maria Temming, “A new AI acquired humanlike ‘number sense’ on its own” at ScienceNews A team led by neurobiologist Read More ›
Like all tools, AI systems, when used correctly, can augment our abilities, but they are nowhere near replacing us. And we endanger ourselves, and others, when we believe they can.
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