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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
creators were limiting what it had been asked to do. At which point the AI would turn to thinking about how to escape those bounds. It would be like Deep Blue programmed to plan its own prison break. And as much as humans might try to stifle a smart machine, we’d be fighting to contain something more powerf
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
e and evaluate a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016823 powerful room-cleaning robot was a Roomba, which moved around vacuuming a
, 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.
e and evaluate a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016240 powerful room-cleaning robot was a Roomba, which moved around vacuuming a
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