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at they tend to favor or ignore. Surely (ding!)?, any man who could beat a woman at being perceived to be a woman would be an intelligent agent. What Turing did not foresee is the power of deep-learning AI to acquire this wealth of information in an exploitable form without having to understand it. Turing
the CIRL framework, one can formulate and solve the off-switch problem—that is, the problem of how to prevent a robot from disabling its off-switch. (Turing may rest easier.) A robot that’s uncertain about human preferences actually benefits from being switched off, because it understands that the human w
erintelligent machines—their actions by definition unpredictable by us and their ' Omohundro, “The Basic AI Drives,” in Proc. First AGI Conf., 171: “Artificial General Intelligence,” eds. P. Wang, B. Goertzel, & S. Franklin (IOS press, 2008). 30 HOUSE_OVERSIGHT_016833 imperfectly specified objectives conflicting with our own—
at they tend to favor or ignore. Surely (ding!)?, any man who could beat a woman at being perceived to be a woman would be an intelligent agent. What Turing did not foresee is the power of deep-learning AI to acquire this wealth of information in an exploitable form without having to understand it. Turing
the CIRL framework, one can formulate and solve the off-switch problem—that is, the problem of how to prevent a robot from disabling its off-switch. (Turing may rest easier.) A robot that’s uncertain about human preferences actually benefits from being switched off, because it understands that the human w
erintelligent machines—their actions by definition unpredictable by us and their ' Omohundro, “The Basic AI Drives,” in Proc. First AGI Conf., 171: “Artificial General Intelligence,” eds. P. Wang, B. Goertzel, & S. Franklin (IOS press, 2008). 30 HOUSE_OVERSIGHT_016250 imperfectly specified objectives conflicting with our own—
ake c to denote algorithmic information measured on some reference Turing machine, and F(X) to denote what appears on the second tape of a two-tape Turing machine t time-steps after placing X on its first tape. Other more naturalistic computational models are also possible here and are discussed extens
cal conceptual issues related to the nature of intel- ligence and mind. It then sketches the broad outlines of a novel, integrative architecture for Artificial General Intelligence (AGI) called CogPrime ... and describes an approach for giving a young AGI system (CogPrime or otherwise) appropriate experience, so that it can dev
take c to denote algorithmic information measured on some reference Turing machine, and F(X) to denote what appears on the second tape of a two-tape Turing machine ¢ time-steps after placing X on its first tape. Other more naturalistic computational models are also possible here and are discussed extensi
ical conceptual issues related to the nature of intel- ligence and mind. It then sketches the broad outlines of a novel, integrative architecture for Artificial General Intelligence (AGT) called CogPrime ... and describes an approach for giving a young AGI system (CogPrime or otherwise) appropriate experience, so that it can deve
Entities connected to both Turing and Artificial General Intelligence

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Stephen Hawking
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Marc Rich
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Marvin Minsky
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George W. Bush
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Earth
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Wilbur Ross
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Joscha Bach
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Samantha Power
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Prince Andrew
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Harvey Weinstein
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Michael Douglas
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Daniel Dennett
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Seth Lloyd
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Prince Charles
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Penrose
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Alan Turing
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Bill Gates
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Crick
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