move 37 Concepts

The Health Gap: The Challenge of an Unequal World

by Michael Marmot · 9 Sep 2015 · 414pp · 119,116 words

the other way seemed to suffice to lessen mental health – it got worse before those destined to go to more built-up areas made the move.37 If the thought occurred that ‘I’m just dying for a bit of green space’, it may well be true. Lack of access to urban

The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma

by Mustafa Suleyman · 4 Sep 2023 · 444pp · 117,770 words

figure out the optimal way of getting there. Keeping humans “in the loop,” as the saying goes, is desirable, but optional. Nobody told AlphaGo that move 37 was a good idea. It discovered this insight largely on its own. It was precisely this feature that struck me so forcibly watching DQN play

Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again

by Eric Topol · 1 Jan 2019 · 424pp · 114,905 words

win. It took combining DNN (supervised and reinforcement learning) with GOFAI, in the latter case a Monte Carlo tree search.30 The key winning move (move 37), as it turned out, was viewed as highly creative—despite the fact that a machine made it—and perhaps more importantly, it was made in

…

learning ability is poorly understood, and we don’t have a way to interrogate an AI system to figure out how it reached its output. Move 37 in the historic AlphaGo match against Lee Sodol is a case in point: the creators of the algorithm can’t explain how it happened. The

Coders: The Making of a New Tribe and the Remaking of the World

by Clive Thompson · 26 Mar 2019 · 499pp · 144,278 words

game, albeit in a somewhat alien fashion. It sometimes pulled off moves no human had ever before executed. In the second game against Sedol, during move 37, AlphaGo made a play that at first flummoxed the Go experts who observed the game, as Wired reported. The computer abandoned one group of stones

…

watching, fresh from his own AlphaGo defeat. “It’s not a human move. I’ve never seen a human play this move.” When AlphaGo made move 37, Sedol himself appeared stunned. He got up from the table and left the room, not returning for fifteen minutes. The next day, after his loss

Nexus: A Brief History of Information Networks From the Stone Age to AI

by Yuval Noah Harari · 9 Sep 2024 · 566pp · 169,013 words

was being rewritten before our eyes. Our AI had uncovered ideas that hadn’t occurred to the most brilliant players in thousands of years.”34 Move 37 is an emblem of the AI revolution for two reasons. First, it demonstrated the alien nature of AI. In East Asia go is considered much

…

just didn’t think to venture there. AI, being free from the limitations of human minds, discovered and explored these previously hidden areas.35 Second, move 37 demonstrated the unfathomability of AI. Even after AlphaGo played it to achieve victory, Suleyman and his team couldn’t explain how AlphaGo decided to play

I, Warbot: The Dawn of Artificially Intelligent Conflict

by Kenneth Payne · 16 Jun 2021 · 339pp · 92,785 words

study of AI strategists. Chief among these was confirmation that if AI is creative, its creativity differs from what we usually mean by it. At move 37 in game 2, the computer stunned onlookers and Sedol by making a radical move, one vanishingly unlikely to have been played by an expert human

…

rather higher than those facing the human part of the centaur chess team. If the machine says to do something whacky, like AlphaGo did in move 37, would you go along with its judgment? You might think twice, especially now you know about its tactical brilliance and strategic naivety. Conflicting human tendencies

Genius Makers: The Mavericks Who Brought A. I. To Google, Facebook, and the World

by Cade Metz · 15 Mar 2021 · 414pp · 109,622 words

phase of the game—and he never quite regained his footing. More than four hours later, he resigned. He was down two games to nil. Move 37 had also surprised Fan Hui, the man who had been so comprehensively beaten by the machine a few months earlier and who had since joined

…

to new heights in the process. Now, standing outside the commentary room on the seventh floor of the Four Seasons, in the few minutes following Move 37, he came to see the effect of this strange move. “It’s not a human move. I’ve never seen a human play this move

…

word. Beautiful. Beautiful. Beautiful. The next morning, David Silver slipped into the control room, just so he could revisit the decisions AlphaGo made in choosing Move 37. In the midst of each game, drawing on its training with tens of millions of human moves, AlphaGo calculated the probability that a human would

…

make a particular play. With Move 37, the probability was one in ten thousand. AlphaGo knew this wasn’t a move a professional Go player would ever make. Yet it made the

…

AI. After reading about the match, Jordi Ensign, a forty-five-year-old computer programmer from Florida, went out and got two tattoos. AlphaGo’s Move 37 was tattooed on the inside of her right arm—and Lee Sedol’s Move 78 was on the left. 11 EXPANSION “GEORGE WIPED OUT THE

Whiplash: How to Survive Our Faster Future

by Joi Ito and Jeff Howe · 6 Dec 2016 · 254pp · 76,064 words

human play this move.” As Metz would later note,10 nothing in the 2,500 years of collected Go knowledge and understanding prepared anyone for move 37 of the second game in the series. Except Hui. Since losing to AlphaGo the previous fall Hui had spent hours helping the Google DeepMind team

…

a myoshu. Sedol continued to play nearly flawless Go, but it wasn’t enough to counter the striking creativity the DeepMind software displayed, even after move 37. By the end of the day the big news wasn’t that AlphaGo had won a second game, but that it had displayed such deeply

…

. The excitement was palpable. He also showed images and videos from the rest of the match between AlphaGo and Lee Sedol. As it turned out, move 37 wasn’t the last dramatic moment of the match. After the second game Sedol had done his homework, developing a strategy based on known weaknesses

Class Acts: Service and Inequality in Luxury Hotels

by Rachel Sherman · 18 Dec 2006 · 380pp · 153,701 words

that front desk workers asked bellmen to bring guests’ bags to their rooms when the guests were not there (what was known as a “dead move”).37 He said, “If a bellman brings up bags to an empty room, he makes no money.” Later, I asked Jackie at the front desk if

Smart Mobs: The Next Social Revolution

by Howard Rheingold · 24 Dec 2011

, TIT FOR TAT. TIT FOR TAT is merely the strategy of starting with cooperation and thereafter doing what the other player did on the previous move.”37 If the opponent cooperates on the first move, then TIT FOR TAT cooperates on the next move; if the opponent defects on the first move