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 Post subject: Blue Cat Go | 2024 ‘Bay Area Cup’ World AI Go Championship -
Post #1 Posted: Wed Nov 13, 2024 8:42 am 
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Blue Cat Go | 2024 “Bay Area Cup” World AI Go Championship, Team USA

The 2024 “Bay Area Cup” World Artificial Intelligence Go Championship kicked off on November 8 and concluded successfully on November 10 at the 1990 Cultural Center in Bao’an, Shenzhen. The tournament attracted 20 top AI Go teams from various regions, including China, Hong Kong, Taiwan, and the United States. We were delighted to have the U.S. team, Blue Cat Go, participate, achieving an impressive 10th place. We hope their insights and experiences can inspire everyone dedicated to AI!

Interview Content

Q1: Could you share your overall impression of the 2024 “Bay Area Cup” World AI Go Championship?
Blue Cat: I feel that the level of competition in this tournament was exceptionally high, especially with teams like Yi Le, Chaoran, Xin Jihe, Old Gun, and Taiwan’s Yin Zheng Go. These teams have won multiple world championships, so it was a great honor for our team to compete alongside them. The organizing committee also provided ample support for the event, and I noticed plenty of promotional materials and flags for the championship, even at the entrance and on streets in Bao’an District. Inside the venue, there were large banners and logos, which were a form of encouragement for the participants.

Q2: Which games in this tournament do you feel had the most impact on Blue Cat Go’s performance? Could you briefly review them?
Blue Cat: There were two games in particular. One was against Taiwan’s Yin Zheng Go, a team developed independently and a world champion over the last two years. I have known Yang Cheng’en from their team since participating in the World University Go Championship years ago. Their Go style is brilliant, especially in the game against the 2022 world champion Xin Jihe, with a direct kill that even impressed Go commentator “Mushroom.” After the match, I discussed it with the Taiwan team’s coach; our configurations and parameters were quite similar, making it a very close match. We were playing Black and only trailed by 0.5 points from the beginning to the endgame, with Taiwan maintaining a narrow lead. This game highlighted the strength of a world champion and reminded us of the importance of taking the initiative when playing Black.

Another significant game was against the team Shaonian Zongheng, whose creator, Mr. Li Meng, is an old acquaintance from the China Go Conference. We played Black again, with our win rate reaching 88% in the mid-game. I confirmed with Mr. Li during the game, and he acknowledged our advantage. However, White made a crucial move, causing our win rate to drop drastically. Mr. Li later advised us to save time for the mid-game phase rather than meticulously playing every move at the beginning, as focusing on the mid-game is more meaningful. We plan to adjust our timing strategy accordingly, making Blue Cat Go even stronger!

Q3: Could you give a brief introduction to your team’s background and culture?
Blue Cat: Blue Cat Go is a team from Los Angeles, established in 2023. We have extensive experience in the field of AI Go. Team members Soda, Zhaonian Chen, Hantao Huang, Mengkai Xue, and Yutong Qian each bring a wealth of knowledge. Soda and Mengkai Xue handle secondary development based on KataGo, upgrading Blue Cat Go with adjustments to official parameters and incorporating insights from past AI advancements. Hantao Huang and Zhaonian Chen are responsible for testing, covering areas like capturing races, kos, and eye formation. Yutong Qian manages our training schedules, records, and in-depth analysis of opponents’ tactics, as well as providing mental support and diet planning. We’ve also drawn from the training habits of the American Hockey League to shape our team culture.

Q4: What are your expectations for future human-AI Go competitions? How do you see AI Go evolving?
Blue Cat: The future of AI is multifaceted. Machine learning and deep learning technologies will continue to advance, making AI more intelligent and autonomous. The application of AI will expand across industries, from healthcare and finance to transportation, automating more solutions. Human-AI Go competitions may become even more common on the global stage, as seen with Google’s AlphaGo and Tencent’s FineArt, which have achieved world championships. I believe AI Go will gradually replace traditional training methods, providing new answers to outdated patterns and moves. I hope Blue Cat Go not only excels in AI development but also offers support for national teams and Go enthusiasts in training and daily practice.

Q5: Although it’s unfortunate that Blue Cat Go didn’t make the final four this time, the team has still earned broad respect and support. Do you have any words for your supporters and Go fans?
Blue Cat: We, the Blue Cat Go team, are comrades in arms and partners in growth. Whether in triumph or challenge, we remain pieces on the board with endless possibilities. Missing the final four by one game was disappointing, but I am hopeful for our future. This tournament showed that White’s win rate was 74.3%, with our team winning all White games and losing all Black ones. Over the next year, we aim to further adjust our parameters and improve our understanding of different board positions in software. Hopefully, we will achieve better results with Black in future competitions. Lastly, I wish everyone the courage to navigate the unpredictable world of Go and life, with the spirit to overcome any challenge.

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