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Future of Go Summit

Future of Go Summit is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Future of Go Summit rather than just read about it. In short: The Future of Go Summit (Chinese: 中国乌镇围棋峰会) was a Go games summit held in May 2017 in Wuzhen, Zhejiang, China, by the Chinese Go Association, the Zhejiang Provincial Sort Bureau, and Google. It featured five Go games involving AlphaGo and top Chinese Go players, as well as a forum on the future of artificial intelligence.

Key takeaways

  • Future of Go Summit belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Future of Go Summit to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Future of Go Summit from memory before moving on to harder problems.

Reference excerpt

The Future of Go Summit (Chinese: 中国乌镇围棋峰会) was a Go games summit held in May 2017 in Wuzhen, Zhejiang, China, by the Chinese Go Association, the Zhejiang Provincial Sort Bureau, and Google. It featured five Go games involving AlphaGo and top Chinese Go players, as well as a forum on the future of artificial intelligence. This summit was Google’s biggest public event in partnership with the Chinese government since Google China's search engine was moved out of mainland China to Hong Kong due to the government censorship in 2010. It was seen as a charm offensive launched by Google toward Chinese officials, being part of effort to reopen China's market. The version of AlphaGo used in this Summit was AlphaGo Master, using four TPUs on a single machine with an Elo rating of 4,858. DeepMind claimed that this version was 3 stones stronger in games of self-play than the version used in AlphaGo v. Lee Sedol. After winning its three-game match against Chinese grandmaster Ke Jie, the world's top Go player, AlphaGo was awarded professional 9-duan by Chinese Weiqi Association. DeepMind announced that AlphaGo would retire, and DeepMind would disband the team that worked on Go and spend their time exploring new AI in other areas instead of Go. After the Summit, DeepMind released 50 games AlphaGo played against itself.

Schedule Ke Jie vs. AlphaGo. 23, 25 and 27 May, all of them from 10:30 – 17:30 UTC+8. Pair Go: Gu Li and AlphaGo vs. Lian Xiao and AlphaGo. Friday 26 May, 8:30 – 12:30, UTC+8. Team Tournament: AlphaGo vs. Chinese team (Chen Yaoye, Mi Yuting, Shi Yue, Tang Weixing, Zhou Ruiyang). Friday 26 May, 13:30 – 18:30, UTC+8.

Games

Ke Jie vs AlphaGo

Google DeepMind offered 1.5 million dollars winner prizes for this match while the losing side took 300,000 dollars for participating in the three games. AlphaGo won all three games.

Pair Go

The pair Go game was played on 26 May morning. Gu Li, an eight-time world champion, and Lian Xiao, the current Chinese Mingren and Tianyuan titles holder, each had their own AlphaGo teammate, alternating moves in tag team style. The move sequence was Gu Li (black), Lian Xiao (white), AlphaGo (black), and AlphaGo (white).

After move 198, the black AlphaGo proposed resignation, but got rejected by its teammate Gu Li. The white AlphaGo and Lian Xiao finally won by resignation after move 220. This pair Go game provided a glimpse of how human players might be able to use AI tools in the future, benefiting from the computer's insights while also relying on their own intuition. After the match, David Silver, the lead researcher for AlphaGo said: "Pair Go was a beautiful game. All four players made some brilliant and creative moves. It felt like four painters working together on a shared canvas, all with different styles, all combining together to make something truly beautiful."

Team Go

The team Go match was held on 26 May afternoon. In this five-on-one match, five world champion players, Chen Yaoye, Zhou Ruiyang, Mi Yuting, Shi Yue, and Tang Weixing (black), joined forces to play against AlphaGo (white). There was a two-and-a-half-hour set time limit for each side followed by three 60-second byo-yomi overtime periods. Consulting each other on every move, the human team approached the challenge in a light-hearted manner, obviously enjoying the experience of playing together. Chosen as the team leader, Zhou Ruiyang positioned the stones on the board during regular time. Tang Weixing put down the stones in overtime, almost working on his own, and finally resigned in the face of AlphaGo’s certain victory. Eric Schmidt, the Executive Chairman of DeepMind's parent company Alphabet, Inc. tweeted: "This speaks volumes about where AI is headed - human players are teaming up with AlphaGo to have even more fun with the game!".

White 54 is a surprising move to human players. After move 58, Ke Jie pointed out that White could play 60, but was teased by other professional players in the research room until AlphaGo actually played this move. Tan Xiao commented that it's difficult for Black to win after move 64.

Chinese media coverage The game was widely reported by Chinese media and became one of the hottest topics on social networks. However, due to the instruction of the Chinese authorities, the state owned China Central Television cancelled the plan to live telecast the game, and live streaming on a number of Chinese websites was cut off. The only official live broadcast was on YouTube, which is blocked in China. The restrictions caused widespread complaints among Chinese netizens on the social platform Sina Weibo. Chinese media was instructed to play down the mention of Google or Google's products in their reports, as its services are blocked in China.

References

External links AlphaGo at The Future of Go Summit, 23-27 May 2017 Archived 6 June 2019 at the Wayback Machine, at DeepMind's website Official event page, The Future of Go Summit Archived 2017-06-04 at the Wayback Machine AlphaGo China | DeepMind Archived 2019-06-06 at the Wayback Machine

Worked examples

Example 1 — a first encounter with Future of Go Summit

Start with the simplest possible case. Write down what Future of Go Summit claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Future of Go Summit before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Future of Go Summit ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Future of Go Summit

In research
Future of Go Summit appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Future of Go Summit in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Future of Go Summit is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2017 in Chinese sport, 2017 in go, AlphaGo, so understanding it makes those chapters shorter.
In everyday life
Look for Future of Go Summit outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Future of Go Summit in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Future of Go Summit means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Future of Go Summit out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Future of Go Summit in simple terms?

The Future of Go Summit (Chinese: 中国乌镇围棋峰会) was a Go games summit held in May 2017 in Wuzhen, Zhejiang, China, by the Chinese Go Association, the Zhejiang Provincial Sort Bureau, and Google. It featured five Go games involving AlphaGo and top Chinese Go players, as well as a forum on the future of…

Why does Future of Go Summit matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Future of Go Summit?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Future of Go Summit.

Tags

  • 2017 in Chinese sport
  • 2017 in go
  • AlphaGo
  • Computer Go games
  • Go competitions in China
  • Human versus computer matches
  • May 2017 sports events in Asia

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