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im mu =risKer w v, . = re piper soloist fourth-Power.° majority — Appendix — al mvp oboist — ° App
competition because of pancreatic cancer.) Chinook had no machine learned aspects. EFTA_R1_02074941 EFTA02702510 In 1997, Garry Kasparov lost to Deep Blue at chess—Kasp- arov was the reigning world chess champion. In one pivotal game Kasparov remarked on the "superior intelligence" of the machine duri
rations from FM 3-24 Afghanistan COIN Dynamics “Power corrupts, PowerPoint corrupts absolutely.” Ed Tuf
day, holds the record for the highest chess ranking ever achieved. Some consider him one of the most intelligent people on the planet. His opponent, Deep Blue, is a massively parallel chess-playing computer built by IBM’s Watson Research Laboratory. The machine itself sits a few blocks north of the tourname
stland, Merchant, Soldier, Sage: A New History of Power, (New York: Penguin, 2013) 112 HOUSE_OVERSIGHT_
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
er: Tech Prophecy and the Underappreciated Causal Power of Ideas There is no law of complex systems that
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
e again, ArtReview ranked him #1 on their annual “Power 100” list. Recently we collaborated on a panel d
Machines were simply faster at doing brute-force calculations, had prodigious amounts of memory, and were not prone to errors. One article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual.
er: Tech Prophecy and the Underappreciated Causal Power of Ideas There is no law of complex systems that
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
e again, ArtReview ranked him #1 on their annual “Power 100” list. Recently we collaborated on a panel d
Machines were simply faster at doing brute-force calculations, had prodigious amounts of memory, and were not prone to errors. One article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual.
Entities connected to both Samantha Power and Deep Blue

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Joe Biden
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