“Master” is the new version of “AlphaGo” which Demis Hassabis stated, in the post game press conference with 9 dan Go player Ke Jie (柯潔), the details will be published for others to study similar to AlphaGo’s Nature article.
“Last year, in South Korea, AlphaGo topped the Korean grandmaster Lee Sedol, becoming the first machine to beat a professional Go player—a feat that most AI researchers believed was still years away, given the extreme complexityof the ancient Eastern game. Now, AlphaGo is challenging Ke Jie, the current world number one.
According to Demis Hassabis, the CEO and founder of DeepMind, this time out the machine is driven by a new and more powerful architecture. It can now learn the game almost entirely from play against itself, relying less on data generated by humans. In theory, this means DeepMind’s technology can more easily learn any task.“
MIT Technology review, “Intelligent Machines A Stronger AlphaGo Defeats the World’s Number One Player”
May 26, 2017 Update:
“Much of that future has yet to play out. And there is no guarantee that AI improves humanity. “In some cases,” grandmaster Gu Li said after a pair game alongside AlphaGo, “I could not follow in his footsteps.” But certainly, DeepMind has effected real change in the world of Go, a game that’s enormously popular across China, Korea, and other parts of Asia, and that is a comforting thing. In at least one way, AI has helped make humans better.
After losing matches to AlphaGo, European champion Fan Hui and Korean grandmaster Lee Sedol said the machine opened their eyes to new possibilities. This raised awareness was on wide display this week in China, when Ke Jie opened the first game with a strategy straight from the AlphaGo playbook.
Ke Jie went on to lose that game and then the next. And some observers continued to lament that machines were eclipsing humans. But that’s not the story of AlphaGo’s trip to China. What’s most striking is how closely the players have studied the games played by AlphaGo—and how hungry they are for more. Many have repeatedly called on DeepMind to release the many games that AlphaGo has played in private. They know they can’t beat the machine. But like Thore Graepel, they believe it can make them better.“
May 28, 2017 Update:
DeepMind (Demis Hassabis & David Silver), “AlphaGo’s next move”
“We have always believed in the potential for AI to help society discover new knowledge and benefit from it, and AlphaGo has given us an early glimpse that this may indeed be possible. More than a competitor, AlphaGo has been a tool to inspire Go players to try new strategies and uncover new ideas in this 3,000 year-old game.
The creative moves it played against the legendary Lee Sedol in Seoul in 2016 brought completely new knowledge to the Go world, while the unofficial online games it played under the moniker Magister (Master) earlier this year have influenced many of Go’s leading professionals – including the genius Ke Jie himself. Events like this week’s Pair Go, in which two of the world’s top players partnered with AlphaGo, showed the great potential for people to use AI systems to generate new insights in complex fields.
This week’s series of thrilling games with the world’s best players, in the country where Go originated, has been the highest possible pinnacle for AlphaGo as a competitive program. For that reason, the Future of Go Summit is our final match event with AlphaGo.
The research team behind AlphaGo will now throw their energy into the next set of grand challenges, developing advanced general algorithms that could one day help scientists as they tackle some of our most complex problems, such as finding new cures for diseases, dramatically reducing energy consumption, or inventing revolutionary new materials. If AI systems prove they are able to unearth significant new knowledge and strategies in these domains too, the breakthroughs could be truly remarkable. We can’t wait to see what comes next.
While AlphaGo is stepping back from competitive play, it’s certainly not the end of our work with the Go community, to which we owe a huge debt of gratitude for their encouragement and motivation over the past few years.
We plan to publish one final academic paper later this year that will detail the extensive set of improvements we made to the algorithms’ efficiency and potential to be generalised across a broader set of problems. Just like our first AlphaGo paper, we hope that other developers will pick up the baton, and use these new advances to build their own set of strong Go programs. […]
Finally, to mark the end of the Future of Go Summit, we wanted to give a special gift to fans of Go around the world. Since our match with Lee Sedol, AlphaGo has become its own teacher, playing millions of high level training games against itself to continually improve. We’re now publishing a special set of 50 AlphaGo vs AlphaGo games, played at full length time controls, which we believe contain many new and interesting ideas and strategies.
We took the opportunity this week in Wuzhen to show some of these games to a handful of top professionals. Shi Yue, 9 Dan Professional and World Champion said the games were “Like nothing I’ve ever seen before – they’re how I imagine games from far in the future.” Gu Li, 9 Dan Professional and World Champion, said that “AlphaGo’s self play games are incredible – we can learn many things from them.” We hope that all Go players will now enjoy trying out some of the moves in the set. The first ten games are now available here, and we’ll publish another ten each day until all 50 have been released.”
DeepMind, “Full length games for Go players to enjoy”
P.S. Bonus. The Official AGA Youtube Channel – “Join Myungwan Kim 9p as he guides us LIVE through the first historic game of AlphaGo vs. Ke Jie 9p! The best-of-three match will be live at 9:00PM PST on Monday, May 22nd.”