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AlphaGo Trivia Questions

How much do you really know about AlphaGo? Below are 8 true or false statements. Click each one to reveal the answer and explanation.

1.

AlphaGo's move 37 in game 2 against Lee Sedol was considered creative and shocked human experts.

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Easy
✓ TRUE

Move 37 was an unprecedented, seemingly suboptimal play that later proved brilliant, surprising even top Go professionals.

2.

AlphaGo's victory over Lee Sedol was the first time a computer beat a human professional at Go.

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Medium
✗ FALSE

Computers had beaten professional Go players before, but AlphaGo was the first to defeat a top-ranked world champion in a full match.

3.

The AlphaGo Zero version defeated the original AlphaGo 100 games to 0 without any human data.

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Medium
✓ TRUE

AlphaGo Zero learned solely through self-play and surpassed the original, which had used human games, by a huge margin.

4.

AlphaGo used a combination of Monte Carlo tree search and two deep neural networks.

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Medium
✓ TRUE

It employed a policy network to suggest moves and a value network to evaluate positions, guided by MCTS.

5.

After retiring from competitive Go, AlphaGo's algorithms were adapted to help solve protein folding with AlphaFold.

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Medium
✓ TRUE

DeepMind reused the reinforcement learning and neural network techniques from AlphaGo to create AlphaFold, a breakthrough in biology.

6.

AlphaGo learned entirely by playing against itself, without using any human game data.

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Hard
✗ FALSE

AlphaGo was initially trained on thousands of human expert games before switching to self-play reinforcement learning.

7.

AlphaGo lost a game to Lee Sedol because of a software bug in its neural network.

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Hard
✗ FALSE

AlphaGo's only loss (game 4) was due to a strategic mistake, not a bug; Lee Sedol's brilliant play exploited a weakness.

8.

AlphaGo needed over 1000 CPUs and GPUs to run during its match against Lee Sedol.

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Hard
✗ FALSE

AlphaGo actually used around 48 TPUs and 176 GPUs, not 1000 CPUs; the number is often exaggerated.

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