Epstein Secrets

ring Test. In October 1950, the British journal Mind published an essay by Alan M. Turing titled, "Computing Machinery and Intelligence," in which Turing proposed an operational definition for "intelligence" [2]. This definition would come to be called "the Turing Test." Turing himself called it "the

t different one in which the interrogator was to attempt to determine the gender of two contestants, one male the other female. Interesting because Turing was homosexual and perhaps accustomed to such an imitation game. But in the matter of intelligence, such an operational definition made some sense

g-like Indistinguishability Tests for the Validation of a Computer Simulation of Paranoid Pro- cesses, Artif. Intel]. 3(1-3) 1972. pp. 199-221. HI] Hans Moravec, Mind Children, Harvard University Press, 1988. (12] John Steinbeck, "The Grapes of Wrath," The Viking Press, 1939. (5] (61 (71 (81 (9] 1131

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

” But it didn’t come; it went. From that point on ’ve worked with researchers in nearly every variety of AI and complexity, including Rodney Brooks, Hans Moravec, John Archibald Wheeler, Benoit Mandelbrot, John Henry Holland, Danny Hillis, Freeman Dyson, Chris Langton, Doyne Farmer, Geoffrey West, Stuart Russe

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

” But it didn’t come; it went. From that point on ’ve worked with researchers in nearly every variety of AI and complexity, including Rodney Brooks, Hans Moravec, John Archibald Wheeler, Benoit Mandelbrot, John Henry Holland, Danny Hillis, Freeman Dyson, Chris Langton, Doyne Farmer, Geoffrey West, Stuart Russe