Recent results from 9-dan Shin Jin-seo’s matches against KataGo have many reflecting on the historic showdown between Lee Sedol and AlphaGo. While the “Human vs. Machine” theme remains, the landscape of Go has shifted drastically over the past decade. Here, we analyze the significance of Shin Jin-seo’s performance in comparison to the Lee Sedol era.
Lee Sedol Faced the Unknown, Shin Jin-seo Absorbed the AI
In 2016, Lee Sedol’s match against AlphaGo was a head-on collision with an unidentified AI. At the time, the Go world could not fathom the AI’s strength, and Lee Sedol was a pioneer facing an unknown entity in isolation.
Conversely, for Shin Jin-seo today, AI is not an adversary to be conquered but an everyday training partner. Often dubbed “Shin-gong-ji-neung” (Shin + Artificial Intelligence), he deeply understands the logic behind AI-recommended moves and applies them to real-world scenarios. He does not simply copy AI; he reinterprets its opening strategies and combat styles into his own unique playstyle. If Lee Sedol’s match heralded the “arrival of super-advanced AI,” Shin Jin-seo’s career demonstrates the “human evolution to the extreme by leveraging AI.”
Who is Shin Jin-seo?
Born in 2000, Shin Jin-seo is currently the No. 1 ranked Go player in Korea and the world. Known for his “Shin-gong-ji-neung” nickname, he consistently exhibits one of the highest match rates with AI-recommended “Blue Spots.” He is characterized by a fierce playing style that refuses to retreat, pressing opponents until the very end even in advantageous positions.
Key Achievements
- Choongam Dojang [Student of Han Jong-jin]
- 1st Youngjae (Prodigy) Entrant [Shin Jin-seo, Shin Min-jun]
- 2014 – Go Awards: Best Rookie
- 2016 – Go Awards: Highest Winning Percentage (76%)
- 2018 – Go Awards: MVP, Most Wins (82), Best Winning Percentage (77%), Most Consecutive Wins (18)
- 2019 – Go Awards: Most Wins (78), Best Winning Percentage (80%), Most Consecutive Wins (25)
- 2020 – Go Awards: MVP, Most Wins (76), Best Winning Percentage (88%), Most Consecutive Wins (28), Popularity Award
- 2021 – Go Awards: MVP, Most Wins (80), Best Winning Percentage (82), Popularity Award
- 2022 – Go Awards: MVP, Most Wins (79), Best Winning Percentage (85), Most Consecutive Wins (18)
- 2023 – Go Awards: MVP, Most Wins (111), Best Winning Percentage (88), Most Consecutive Wins (29), Popularity Award, Special Achievement (Record for most wins in a year)
- 2024 – Go Awards: MVP, Most Wins (65), Best Winning Percentage (83), Popularity Award
- 2025 – Go Awards: MVP, Popularity Award
- 2026 – Winner of Ssen Math/Hankyung Gishin Tournament matches 2 and 3
Promotion History
- 9-dan / April 7, 2018
- 8-dan / April 23, 2017 [Tournament Winner]
- 7-dan / March 30, 2017
- 6-dan / May 22, 2016 [China Weiqi League]
- 5-dan / Dec 22, 2015 [LetsRun Park Open Tournament Winner – Special Promotion]
- 3-dan / March 2, 2015 [34th KBS Go King Tournament]
- 2-dan / Nov 20, 2013 [19th GS Caltex Cup]
- 1-dan / July 17, 2012 [1st Youngjae Tournament]
A New Standard for Watching Go After AlphaGo
Since the AlphaGo shock, Go AI has learned at a terrifying pace. It has reached a level where a human winning in a perfectly equal match (no handicap) is virtually impossible. Therefore, when watching matches between Shin Jin-seo and modern AI, you need a different perspective than you did cheering for Lee Sedol 10 years ago.
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The Limits of Handicap Matches:
Matches against top-tier AI are held with handicaps, where humans place stones on the board first. The core question is how many stones are placed. “Closing the gap” is the major theme of modern Go. -
Time Pressure:
Results fluctuate based on whether it is a blitz game (relying on intuition) or a long-form game (allowing deep reading). Machines are immune to fatigue, while humans have limits in stamina and focus. -
Blue Spot Consistency:
Beyond win/loss records, pay attention to how often Shin Jin-seo hits the “Blue Spot”—the optimal move calculated by AI. His overwhelming consistency, unmatched by other players, is his greatest weapon.
2026 KataGo Matches: Beyond Massive Computing Power
Ssen Math/Hankyung Gishin Tournament Match 1
Ssen Math/Hankyung Gishin Tournament Match 2
Ssen Math/Hankyung Gishin Tournament Match 3
| Date | Event | Result |
|---|---|---|
| 2026.07.21 | Ssen Math/Hankyung Gishin Match 3 | Shin Jin-seo (Black) won by 11.5 points |
| 2026.07.19 | Ssen Math/Hankyung Gishin Match 2 | Shin Jin-seo (Black) won by 4.5 points |
| 2026.07.17 | Ssen Math/Hankyung Gishin Match 1 | KataGo (White) won by resignation |
These points culminated in the three-game series held in July 2026. Shin Jin-seo defeated KataGo with an overall record of 2 wins and 1 loss under a two-stone handicap.
KataGo operated on a system using four parallel RTX 3090 graphics cards—a massive amount of hardware processing power compared to a single human brain. Shin Jin-seo overcame this by avoiding purely defensive play, instead building thick influence across the board. By forcing the AI into complex house-fighting scenarios where calculation becomes difficult, he induced mistakes. It was a victory of human strategy poking at machine blind spots.
Conclusion
If Lee Sedol’s win 10 years ago was a miraculous strike against an unknown machine, Shin Jin-seo’s victory is an evolution of human intelligence gained by dissecting the logic of AI. Moving forward, I recommend focusing less on the win/loss outcome and more on how closely humans can approach the AI’s “correct answer” and what creative strategies they use to construct the board.
📸 Behind the scenes
Check out more behind-the-scenes shots on my Naver blog (Korean):
신진서 카타고, 이세돌 알파고로 보는 바둑 인공지능 대결(기보 포함)
👉 https://blog.naver.com/PostView.naver?blogId=k5kun&logNo=224354920244