Shin Beats AI 2-1
26-year-old grandmaster wins $170,000 and luxury sedan with historic comeback against KataGo
Shin Jin-seo, the world's top-ranked Go player, has made history by defeating KataGo, the world's premier artificial intelligence Go engine, in a 2-1 comeback series. The 26-year-old South Korean grandmaster won 250 million won ($170,000) in match fees and prize money, along with a Genesis G90, Hyundai Motor Co.'s luxury sedan.
Shin's victory was sealed with a decisive 11.5-point defeat of KataGo in the series finale, which took three hours and five minutes to complete. Playing black, Shin made 221 moves to secure the win. This victory marks the first time a human has won an official series against a state-of-the-art Go engine under a two-stone handicap, considered the absolute boundary for human competition against modern AI.
The series finale saw Shin adopt a different strategy, focusing on defense and territory preservation rather than pursuing risky counterattacks. He maintained an initial 18.5-point advantage before launching a measured attack against KataGo on move 80. This attack built a massive framework that spanned from the upper board to the center, ultimately leading to his victory.
Shin's win probability remained high throughout the game, with a 99% chance of winning from mid-game to the final move. His victory has raised hopes for human intellect in the AI era, with Shin stating that the series demonstrated that humans can still hold their own against AI.
## Why it matters The victory is significant not only for Shin but also for the broader implications of human competition against AI. As AI engines continue to improve, the possibility of humans winning against them seems increasingly unlikely. However, Shin's win shows that with the right strategy and approach, humans can still compete against and defeat state-of-the-art AI engines.
Shin's achievement is a testament to his skill and experience, having held the game's highest achievable rank of nine-dan. His win will likely inspire other Go players and provide a boost to the game's popularity, as well as spark further research into the capabilities and limitations of AI engines in complex games like Go.
