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2016: The moment everything changed. DeepMind's AlphaGo defeated Lee Sedol, the world's top Go player, 4-1. Go has MORE possible board configurations than atoms in the universe. It was proof that AI could develop intuition and strategy once thought impossible for machines.

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Where it all began: In 2016, AlphaGO won against grandmaster Lee Sedol and showed with “Move 37” that it could outmaneuver so creatively that it amazed everyone. It was the first time that an artificial intelligence had made such a media-effective appearance and amazed the world. Everything after that is history.

Where it all began: In 2016, AlphaGO won against grandmaster Lee Sedol and showed with “Move 37” that it could outmaneuver so creatively that it amazed everyone. It was the first time that an artificial intelligence had made such a media-effective appearance and amazed the world. Everything after that is history.

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Director Greg Kohs also did a fantastic job with the AlphaGo documentary, especially capturing behind-the-scene reactions to the wild Move 37 from Lee Sedol Go match in 2016.

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In 2016, Lee Sedol — one of the world's top Go players — played Google DeepMind's AlphaGo. A ways through Game 2 of the match, AlphaGo played its 37th move. About 10 to 15 moves later, the brilliance of AlphaGo's move became clear: it turned out to be a deeply creative, winning move that helped it win the game. But to observers, it looked like a mistake at first. Commentators were stunned. One even left the commentary booth, thinking AlphaGo had glitched. Lee Sedol himself was so surprised and unsettled that he left the room to take a break and smoke, trying to process what had just happened. Witnesses described him as visibly shaken. He reportedly spent around 15 minutes outside before returning to the board. Today, people describe a highly unconventional solution from AI that no human would ever come up with, that creates a paradigm shift, as a "Move 37." John, Jordi, and Tyler discuss Move 37 on the show — and why AI winning a Nobel Prize might never happen.

In 2016, Lee Sedol — one of the world's top Go players — played Google DeepMind's AlphaGo. A ways through Game 2 of the match, AlphaGo played its 37th move. About 10 to 15 moves later, the brilliance of AlphaGo's move became clear: it turned out to be a deeply creative, winning move that helped it win the game. But to observers, it looked like a mistake at first. Commentators were stunned. One even left the commentary booth, thinking AlphaGo had glitched. Lee Sedol himself was so surprised and unsettled that he left the room to take a break and smoke, trying to process what had just happened. Witnesses described him as visibly shaken. He reportedly spent around 15 minutes outside before returning to the board. Today, people describe a highly unconventional solution from AI that no human would ever come up with, that creates a paradigm shift, as a "Move 37." John, Jordi, and Tyler discuss Move 37 on the show — and why AI winning a Nobel Prize might never happen.

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What does it take to build AI for scientific discovery? 🧠 To celebrate 10 years of AlphaGo, Thore Graepel and Pushmeet Kohli joined Hannah Fry on our podcast to discuss how mastering games has paved the way for it to help solve more complex problems. ↓ 00:00 The AlphaGo match 02:15 Why Go? 10:58 Lee Sedol vs AlphaGo 14:58 Move 37 20:55 Move 78 24:38 Reaction from the Go community 30:45 Never before seen footage 32:05 AlphaGo to protein folding 34:00 Matrix multiplication 38:00 AlphaGo and algorithmic discovery 41:40 How to verify new discoveries 47:38 Role of mathematicians 51:43 Would we be here without AlphaGo?

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