Epstein Secrets

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

bits. Neil Gershenfeld: Scaling Although machine making and machine thinking might appear to be unrelated trends, they lie in each other’s futures. W. Daniel Hillis: The First Machine Intelligences Hybrid superintelligences such as nation states and corporations have their own emergent goals and their actions ar

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

, Frank Wilczek, Max Tegmark, Jaan Tallinn, Steven Pinker, David Deutsch, Tom Griffiths, Anca Dragan, Chris Anderson, David Kaiser, Neil Gershenfeld, W. Daniel Hillis, Venki Ramakrishnan, Alex “Sandy” Pentland, Hans Ulrich Obrist, Alison Gopnik, Peter Galison, George M. Church, Caroline A. Jones, Stephen Wolfram.

explanation. Also, think of examples that are not =ompletely obvious—we don't want a hundred people nominating natural =election, or relativity, or Turing machines. Say something new, true, and interesting based on your own experience, =n 1,000 words or less. Go deeper than the news. Tell us something

December 14, 2011 8:06 PM To: Paul Allen; Jeff Bezos; Sergey Brin; Hubert Burda; Steve Case; John Doerr, Jeffrey Epstein; Tony Fadell; Bill Gates; W. Daniel Hillis; Maja Hoffmann; Bill Joy; Salar Kamangar; Dean Kamen; Vinod Khosla; Marissa Mayer; Kary Mullis; Elon Musk; Nathan Myhrvold; Pierre Omidyar, Larry P

ere? A dim, honest, slow-multiplying human? Impossible to tell. The distinction between machine and man blurred a bit. Buried in the very premise of Turing’s test was an assumption about what machines could do, and how they might do it. “The idea behind digital computers may be explained by saying that t

olve a 189 Adding: Hillis thesis, p. 19 190 He drove: Po Bronson, “The Long Now: Time Traveling with Danny Hillis”, Wired (May, 1998) 191 Feynman: W. Daniel Hillis, “Richard Feynman and the Connection Machine” Physics Today February 1989, p. 78 192 “At times”: Michael J. Black “Book Reviews: The Connection Mach