Epstein Secrets

, who designed a commercial Go program called Crazy Stone.1-le had thought computer mastery of the game was a decade away. The IBM chess computer Deep Blue, which famously beat grandmaster Garry Kasparov in 1997, was explicitly programmed to win at the game. But AlphaGo was not preprogrammed to play

away. The IBM chess computer Deep Blue, which famously beat grandmaster Garry Kasparov in 1997, was explicitly programmed to win at the game. But AlphaGo was not preprogrammed to play Go: rather, it learned using a general- purpose algorithm that allowed it to interpret the game's patterns, in a simi

tch?v=4fjmnOQuqao 340M people watched the video of the match. Key thing is that AlphaGo is creative and intuitive. It doesn't =se calculations like Deep Blue but gets to symbolic reason through =einforced learning on neural networks. -Joi > On Apr 23, 2016, at 9:35 AM, jeffrey E. <[email protected]>

as his talk at MIT but it's =retty good: https://www.youtube.com/watch?v=4fjmnOQuqao 340M people watched the video of the match. Key thing is that AlphaGo is creative and intuitive. It doesn't =se calculations like Deep Blue but gets to symbolic reason through =einforced learning on neural networks. -

v=4fjmnOQuqao > 340M people watched the video of the match. > Key thing is that AlphaGo is creative and intuitive. It doesn't =se calculations like Deep Blue but gets to symbolic reason through =einforced learning on neural networks. > - Joi » On Apr 23, 2016, at 9:35 AM, jeffrey E. <[email protected]

talk at MIT but it's =retty good: > https://www.youtube.com/watch?v=4fjmnOQuqao > 340M people watched the video of the match. > Key thing is that AlphaGo is creative and intuitive. It doesn't =se calculations like Deep Blue but gets to symbolic reason through =einforced learning on neural networks. >

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

y "Ws° • evaluations with Monte-Carlo rollouts. Our uitar-sha browsing g p loud, soft, complex, plain. Not a single track." ed coloring program AlphaGo integrates these components purpose-built software robots like those that play checkers, chess, backgammon, and Go. These are intended to show 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

o communicate with other humans, learn from them, instruct them, and motivate them in our own native language. If our robots will all be as opaque as AlphaGo, we won’t be able to hold a meaningful conversation with them, and that would be unfortunate. We will need to retrain them whenever we make a slight

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.

rs relied a great deal on intuition and a feel for position, so proficiency was thought to require a particularly human kind of intelligence. But the AlphaGo program produced by DeepMind, after being trained on thousands of high-level Go games played by humans and then millions of games with itself, was ab

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

o communicate with other humans, learn from them, instruct them, and motivate them in our own native language. If our robots will all be as opaque as AlphaGo, we won’t be able to hold a meaningful conversation with them, and that would be unfortunate. We will need to retrain them whenever we make a slight

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.

rs relied a great deal on intuition and a feel for position, so proficiency was thought to require a particularly human kind of intelligence. But the AlphaGo program produced by DeepMind, after being trained on thousands of high-level Go games played by humans and then millions of games with itself, was ab