by Karoline Li
Official MLily Cup tournament festivities kicked off Tuesday (local time) in Tongling City with a welcome dinner attended by players and association officials. Ryan Li 1P and his partner Stephanie Yin 1P (photo at right) sat down to talk with AGA National Tournament Coordinator Jeff Shaevel (photo at left on the right) and I after dinner to discuss the upcoming match and Li’s journey to reach this moment. He was born in Beijing, and began playing go with his father around the age of five. He attended a go school a few times a week, and by the time his family moved to Canada at age eight, he had achieved amateur 4 dan status. After the move to Canada, he played mostly online. “He didn’t have a teacher,” Stephanie explained. “He practiced and learned on his own.” When I asked when he started competing seriously, he explained that for a while he only played in a few local tournaments in Ottawa, and his first big competition was the 2010 Canadian Open. “I took second to Matthew Hu,” Ryan says. “That was the year he became a professional.” He represented Canada in the Korean Prime Ministers Cup that year. “I didn’t do much between 2010 and 2012,” Ryan laughs. Then he joined the Pandanet AGA City League team captained by Cathy Li 1P, and was a North American representative to the first MLily Cup. He lost in the preliminaries of the MLily, but his City League team has won the championship three times out of five. He played in the second pro qualification tournament, then won the third tournament in 2015 becoming the fourth North American professional go player. Both tournaments were directed by Jeff Shaevel. “The tournament venue was in Boston right by the ocean, and it was beautiful,” Ryan remembered. “ “It was freezing!” Jeff laughed, and though Ryan agreed he viewed that as a positive. “Well I’m Canadian, so I like the cold.”
The last few years, Li has also been busy studying. He earned his bachelor’s degree in physics from the University of Toronto, and became interested in at
mospheric sciences after an internship with a professor who worked in the field. After earning his degree he went straight into a PhD program in the field at Yale University in New Haven, CT. “Does the logic for that fit with the logic of go?” Jeff asked. “I knew you were going to ask that,” Ryan laughed. “No, they don’t really go together.” Ryan explained that atmospheric sciences involves a lot of programming, data science, and theory. “Which is easier?” Jeff pressed. “Definitely go,” Ryan answered right away. “I really enjoy playing go,” he continued, his love of the game evident. “It started as a hobby, but after all these tournaments and becoming pro, it’s beyond a hobby, but it’s still fun. It’s one of the things I enjoy most.”
Li will face Li Xuanhao 6P on August 24th (local time), at 12:30pm in the top 16 match. He has prepared for this game for months by reviewing games and competing at the US Go Congress — where he went 8-1 and took second place in the Masters — in San Diego, and is excited for the match. “I have no secret weapon,” he said with a smile. “I’m just going to play my best and try to play move by move. At this point, I’m trying to relax.” He gives a lot of credit to Stephanie Yin, who has been helping him prepare for his matches and acting as his coach. Jeff smiled as Ryan talked about his preparations and his attitude towards tomorrow’s match. “This is such a proud moment for me,” Jeff beamed. “The pro qualifiers are a big deal for us, but we’re never sure what our pros will be doing after they qualify, and to see you playing in this tournament and doing so well is the most exciting thing. Whatever happens, I’m very, very proud.”
–report/photos by Li, EJ Tournaments Bureau Chief
ft and lower sides, all of them interrelated and none of them settled. This type of complex interaction, impossible to calculate fully and demanding the most of each player’s value judgment and intuition, brought both Ke Jie and AlphaGo into their element.
In surprise announcement, AlphaGo retires; DeepMind to release 50 self-play games
Saturday May 27, 2017
AlphaGo is retiring. DeepMind’s Demis Hassabis and David Silver made the stunning announcement as the Future of Go Summit wrapped up in Wuzhen, China, saying that the match against world #1 Ke Jie represented “the highest possible pinnacle for AlphaGo as a competitive program” and would be the AI program’s final match.
“The research team behind AlphaGo will now throw their considerable 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,” Hassabis said. “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.”
DeepMind isn’t leaving the go community empty-handed, however. As a “special gift to fans of Go around the world,” DeepMind is publishing a special set of 50 AlphaGo vs AlphaGo games, which Hassabis and Silver said “we believe contain many new and interesting ideas and strategies for the Go community to explore.”
And while DeepMind doesn’t plan to give AlphaGo itself a wide release, Hassabis says he’s more than happy for others to make use of DeepMind’s research themselves. Programs like Tencent’s Fine Art and Japan’s DeepZenGo have used similar deep-learning techniques to achieve around 9th-dan level, according to Hassabis. DeepMind will soon publish another paper on how it architected the latest version of AlphaGo, AlphaGo Master, and Hassabis expects other companies to learn from the new research.
Also, Hassabis said that “We’re also working on a teaching tool – one of the top requests we’ve received throughout this week. The tool will show AlphaGo’s analysis of Go positions, providing an insight into how the program thinks, and hopefully giving all players and fans the opportunity to see the game through the lens of AlphaGo. We’re particularly honoured that our first collaborator in this effort will be the great Ke Jie, who has agreed to work with us on a study of his match with AlphaGo. We’re excited to hear his insights into these amazing games, and to have the chance to share some of AlphaGo’s own analysis too.”
Read more in The Verge and on the DeepMind website. photo courtesy The Verge