Superintelligence: Paths, Dangers, Strategies
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intelligence has led us to develop language, technology, and complex social organization.
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debunking the notion that machines could “only think numerically” and showing that machines were also able to do deduction and to invent logical proofs.
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“Good Old-Fashioned Artificial Intelligence,” or “GOFAI”
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several experts in the late 1950s: “If one could devise a successful chess machine, one would seem to have penetrated to the core of human intellectual endeavor.”
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risks that are not obvious until after something goes wrong (and sometimes not even then).
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improvements to intelligence can (and often do) impose significant costs, such as higher energy consumption or slower maturation times,
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Excessively deadly environments also reduce the value of intelligence: the shorter one’s expected lifespan, the less time there will be for increased learning ability to pay off.
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The emulated human mind now exists as software on a computer. The mind can either inhabit a virtual reality or interface with the external world by means of robotic appendages.
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whole brain emulation relies less on theoretical insight and more on technological capability than artificial intelligence.
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third path to greater-than-current-human intelligence is to enhance the functioning of biological brains.
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there is no reason to suppose Homo sapiens to have reached the apex of cognitive effectiveness attainable in a biological system.
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the rate-limiting step in human intelligence is not how fast raw data can be fed into the brain but rather how quickly the brain can extract meaning and make sense of the data.