Lee Sedol – Wikipedia
South Korean Go player
Lee Sedol (Korean: ; born 2 March 1983), or Lee Se-dol, is a former South Korean professional Go player of 9 dan rank.[1] As of February 2016, he ranked second in international titles (18), behind only Lee Chang-ho (21). He is the fifth youngest (12 years 4 months) to become a professional Go player in South Korean history behind Cho Hun-hyun (9 years 7 months), Lee Chang-ho (11 years 1 months), Cho Hye-yeon (11 years 10 months) and Choi Cheol-han (12 years 2 months). His nickname is "The Strong Stone" ("Ssen-dol"). In March 2016, he played a notable series of matches against AlphaGo that ended in 1-4.[2]
On 19 November 2019, Lee announced his retirement from professional play, stating that he could never be the top overall player of Go due to the increasing dominance of AI. Lee referred to them as being "an entity that cannot be defeated".[3]
Lee was born in South Korea in 1983 and studied at the Korea Baduk Association. He ranks second in international titles (18), behind only Lee Chang-ho (21). Despite this, he describes his opening play as "very weak".[4] In February 2013, Lee announced that he planned to retire within three years and move to the U.S. to promote Go.[5] He plays on Tygem as "gjopok".[6] He is known as 'Bigeumdo Boy' because he was born and grew up on Bigeumdo Island.[7]
He is married to Kim Hyun-jin, and has a daughter, Lee Hye-rim.[8] His older brother Lee Sang-hoon[ko] is also a 9 dan professional go player.[9]
This game was played between Lee Sedol and Hong Chang-sik during the 2003 KAT cup, on 23 April 2003. The game is notable for Lee's use of a broken ladder formation.
Normally playing out a broken ladder is a mistake, associated with beginner play, because the chasing stones are left appallingly weak. Between experts it should be decisive, leading to a lost game. Lee, playing black, defied the conventional wisdom, using the broken ladder to capture a large group of Hong's stones in the lower-right side of the board. White ultimately resigned.[10]
Starting March 9, 2016, Lee played a five-game match, broadcast live, against the computer program AlphaGo, developed by a London-based artificial intelligence firm Google DeepMind, for a $1 million match prize.[11][12][13] He said I have heard that Google DeepMinds AI is surprisingly strong and getting stronger, but I am confident that I can win at least this time.[14] In an interview with Sohn Suk-hee of JTBC Newsroom on February 22, 2016,[15] he showed confidence in his chances again, while saying that even beating AlphaGo by 41 may allow the Google DeepMind team to claim its de facto victory and the defeat of him, or even humanity. In this interview he pointed out the time rule in this match, which seems well-balanced so that both he and the AI would fairly undergo time pressure. In another interview at Yonhap News, Lee Se-dol said that he was confident of beating AlphaGo by a score of 50, at least 41 and accepted the challenge in only five minutes. He also stated "Of course, there would have been many updates in the last four or five months, but that isnt enough time to challenge me".[16]
On March 9, Lee played black and lost the first game by resignation.[17] On March 10, he played white and lost the second game by resignation.[18] On March 12, he played black and lost the third game as well.[19] On March 13, he played white and won the fourth game, following an unexpected move at White 78 described as "a brilliant tesuji", and by Gu Li 9 dan as a "divine move" and completely unforeseen by him. GoGameGuru commented that this game was "a masterpiece for Lee Sedol and will almost certainly become a famous game in the history of Go".[20] Lee commented after the victory that he considered AlphaGo was strongest when playing white (second). For this reason, and because he thought winning a second time with black would be more valuable than winning with white, he requested that he play black in the final fifth game, which is considered more risky when following Chinese Go rules.[21] On March 15, he played black and lost the fifth game, to lose the Go series 14.[22]
After his fourth-match victory, Lee was overjoyed: "I don't think I've ever felt so good after winning just one match. I remember when I said I will win all or lose just one game in the beginning. If this had really happened I won 3 rounds and lost this round it would have had a great bearing on my reputation. However, since I won after losing 3 games in a row, I am so happy. I will never exchange this win for anything in the world."[23] He added: "I, Lee Se-dol, lost, but mankind did not."[21] After the last match, however, Lee was saddened: "I failed. I feel sorry that the match is over and it ended like this. I wanted it to end well." He also confessed that "As a professional Go player, I never want to play this kind of match again. I endured the match because I accepted it."[24]
Lee Sedol turned pro in 1995 as 1 dan, and reached 9 dan in 2003.[25]
Ranks #3 in total number of titles in Korea and #2 in international titles.
Go here to see the original:
Lee Sedol - Wikipedia
- Koreans picked Google Artificial Intelligence (AI) AlphaGo as an image that comes to mind when they .. - MK - - March 16th, 2024 [March 16th, 2024]
- DeepMind AI rivals the world's smartest high schoolers at geometry - Ars Technica - January 20th, 2024 [January 20th, 2024]
- Why top AI talent is leaving Google's DeepMind - Sifted - November 20th, 2023 [November 20th, 2023]
- Who Is Ilya Sutskever, Meet The Man Who Fired Sam Altman - Dataconomy - November 20th, 2023 [November 20th, 2023]
- Microsoft's LLM 'Everything Of Thought' Method Improves AI ... - AiThority - November 20th, 2023 [November 20th, 2023]
- Absolutely, here's an article on the impact of upcoming technology - Medium - November 20th, 2023 [November 20th, 2023]
- AI: Elon Musk and xAI | Formtek Blog - Formtek Blog - November 20th, 2023 [November 20th, 2023]
- Rise of the Machines Exploring the Fascinating Landscape of ... - TechiExpert.com - November 20th, 2023 [November 20th, 2023]
- What can the current EU AI approach do to overcome the challenges ... - Modern Diplomacy - November 20th, 2023 [November 20th, 2023]
- If I had to pick one AI tool... this would be it. - Exponential View - November 20th, 2023 [November 20th, 2023]
- For the first time, AI produces better weather predictions -- and it's ... - ZME Science - November 20th, 2023 [November 20th, 2023]
- Understanding the World of Artificial Intelligence: A Comprehensive ... - Medium - October 17th, 2023 [October 17th, 2023]
- On AI and the soul-stirring char siu rice - asianews.network - October 17th, 2023 [October 17th, 2023]
- Nvidias Text-to-3D AI Tool Debuts While Its Hardware Business Hits Regulatory Headwinds - Decrypt - October 17th, 2023 [October 17th, 2023]
- One step closer to the Matrix: AI defeats human champion in Street ... - TechRadar - October 17th, 2023 [October 17th, 2023]
- The Vanishing Frontier - The American Conservative - October 17th, 2023 [October 17th, 2023]
- Alphabet: The complete guide to Google's parent company - Android Police - October 17th, 2023 [October 17th, 2023]
- How AI and ML Can Drive Sustainable Revenue Growth by Waleed ... - Digital Journal - October 9th, 2023 [October 9th, 2023]
- The better the AI gets, the harder it is to ignore - BSA bureau - October 9th, 2023 [October 9th, 2023]
- What If the Robots Were Very Nice While They Took Over the World? - WIRED - September 27th, 2023 [September 27th, 2023]
- From Draughts to DeepMind (Scary Smart) | by Sud Alogu | Aug, 2023 - Medium - August 5th, 2023 [August 5th, 2023]
- The Future of Competitive Gaming: AI Game Playing AI - Fagen wasanni - August 5th, 2023 [August 5th, 2023]
- AI's Transformative Impact on Industries - Fagen wasanni - August 5th, 2023 [August 5th, 2023]
- Analyzing the impact of AI in anesthesiology - INDIAai - August 5th, 2023 [August 5th, 2023]
- Economic potential of generative AI - McKinsey - June 20th, 2023 [June 20th, 2023]
- The Intersection of Reinforcement Learning and Deep Learning - CityLife - June 20th, 2023 [June 20th, 2023]
- Chinese AI Giant SenseTime Unveils USD559 Robot That Can Play ... - Yicai Global - June 20th, 2023 [June 20th, 2023]
- Cyber attacks on AI a problem for the future - Verdict - June 20th, 2023 [June 20th, 2023]
- Taming AI to the benefit of humans - Asia News NetworkAsia News ... - asianews.network - May 20th, 2023 [May 20th, 2023]
- Evolutionary reinforcement learning promises further advances in ... - EurekAlert - May 20th, 2023 [May 20th, 2023]
- Commentary: AI's successes - and problems - stem from our own ... - CNA - May 20th, 2023 [May 20th, 2023]
- Machine anxiety: How to reduce confusion and fear about AI technology - Thaiger - May 20th, 2023 [May 20th, 2023]
- We need more than ChatGPT to have true AI. It is merely the first ingredient in a complex recipe - Freethink - May 20th, 2023 [May 20th, 2023]
- Taming AI to the benefit of humans - Opinion - Chinadaily.com.cn - China Daily - May 16th, 2023 [May 16th, 2023]
- To understand AI's problems look at the shortcuts taken to create it - EastMojo - May 16th, 2023 [May 16th, 2023]
- Terence Tao Leads White House's Generative AI Working Group ... - Pandaily - May 16th, 2023 [May 16th, 2023]
- Why we should be concerned about advanced AI - Epigram - May 16th, 2023 [May 16th, 2023]
- Purdue President Chiang to grads: Let Boilermakers lead in ... - Purdue University - May 16th, 2023 [May 16th, 2023]
- 12 shots at staying ahead of AI in the workplace - pharmaphorum - May 16th, 2023 [May 16th, 2023]
- Hypotheses and Visions for an Intelligent World - Huawei - May 16th, 2023 [May 16th, 2023]
- Cloud storage is the key to unlocking AI's full potential for businesses - TechRadar - May 16th, 2023 [May 16th, 2023]
- The Quantum Frontier: Disrupting AI and Igniting a Patent Race - Lexology - April 19th, 2023 [April 19th, 2023]
- Putin and Xi seek to weaponize Artificial Intelligence against America - FOX Bangor/ABC 7 News and Stories - April 19th, 2023 [April 19th, 2023]
- The Future of Generative Large Language Models and Potential ... - JD Supra - April 19th, 2023 [April 19th, 2023]
- A Chatbot Beat the SAT. What Now? - The Atlantic - March 23rd, 2023 [March 23rd, 2023]
- Exclusive: See the cover for Benjamn Labatut's new novel, The ... - Literary Hub - March 23rd, 2023 [March 23rd, 2023]
- These companies are creating ChatGPT alternatives - Tech Monitor - March 23rd, 2023 [March 23rd, 2023]
- Google's AlphaGo AI Beats Human Go Champion | PCMag - February 24th, 2023 [February 24th, 2023]
- AlphaGo: using machine learning to master the ancient game of Go - Google - February 10th, 2023 [February 10th, 2023]
- AI Behind AlphaGo: Machine Learning and Neural Network - February 10th, 2023 [February 10th, 2023]
- Google AlphaGo: How a recreational program will change the world - February 10th, 2023 [February 10th, 2023]
- Computer Go - Wikipedia - November 22nd, 2022 [November 22nd, 2022]
- AvataGo's Metaverse AR Environment will be Your Eternal Friend - Digital Journal - September 17th, 2022 [September 17th, 2022]
- This AI-Generated Artwork Won 1st Place At Fine Arts Contest And Enraged Artists - Bored Panda - September 3rd, 2022 [September 3rd, 2022]
- The best performing from AI in blockchain games, a new DRL model published by rct AI based on training AI in Axie Infinity, AI surpasses the real... - September 3rd, 2022 [September 3rd, 2022]
- Three Methods Researchers Use To Understand AI Decisions - RTInsights - August 20th, 2022 [August 20th, 2022]
- What is my chatbot thinking? Nothing. Here's why the Google sentient bot debate is flawed - Diginomica - August 7th, 2022 [August 7th, 2022]
- Opinion: Can AI be creative? - Los Angeles Times - August 2nd, 2022 [August 2nd, 2022]
- AI predicts the structure of all known proteins and opens a new universe for science - EL PAS USA - August 2nd, 2022 [August 2nd, 2022]
- What is Ethereum Gray Glacier? Should you be worried? - Cryptopolitan - June 24th, 2022 [June 24th, 2022]
- How AI and human intelligence will beat cancer - VentureBeat - June 19th, 2022 [June 19th, 2022]
- Race-by-race tips and preview for Newcastle on Monday - Sydney Morning Herald - June 19th, 2022 [June 19th, 2022]
- A gentle introduction to model-free and model-based reinforcement learning - TechTalks - June 13th, 2022 [June 13th, 2022]
- The role of 'God' in the 'Matrix' - Analytics India Magazine - June 3rd, 2022 [June 3rd, 2022]
- The Powerful New AI Hardware of the Future - CDOTrends - June 3rd, 2022 [June 3rd, 2022]
- The 50 Best Documentaries of All Time 24/7 Wall St. - 24/7 Wall St. - June 3rd, 2022 [June 3rd, 2022]
- How Could AI be used in the Online Casino Industry - Rebellion Research - April 12th, 2022 [April 12th, 2022]
- 5 Times Artificial Intelligence Have Busted World Champions - Analytics Insight - April 2nd, 2022 [April 2nd, 2022]
- The Guardian view on bridging human and machine learning: its all in the game - The Guardian - April 2nd, 2022 [April 2nd, 2022]
- How to Strengthen America's Artificial Intelligence Innovation - The National Interest - April 2nd, 2022 [April 2nd, 2022]
- Why it's time to address the ethical dilemmas of artificial intelligence - Economic Times - April 2nd, 2022 [April 2nd, 2022]
- About - Deepmind - March 18th, 2022 [March 18th, 2022]
- Experts believe a neuro-symbolic approach to be the next big thing in AI. Does it live up to the claims? - Analytics India Magazine - March 18th, 2022 [March 18th, 2022]
- Measuring Attention In Science And Technology - Forbes - March 18th, 2022 [March 18th, 2022]
- The Discontents Of Artificial Intelligence In 2022 - Inventiva - March 16th, 2022 [March 16th, 2022]
- Is AI the Future of Sports? - Built In - March 5th, 2022 [March 5th, 2022]
- This is the reason Demis Hassabis started DeepMind - MIT Technology Review - February 28th, 2022 [February 28th, 2022]
- Sony's AI system outraces some of the world's best e-sports drivers | The Asahi Shimbun: Breaking News, Japan News and Analysis - Asahi Shimbun - February 28th, 2022 [February 28th, 2022]
- SysMoore: The Next 10 Years, The Next 1,000X In Performance - The Next Platform - February 28th, 2022 [February 28th, 2022]
- The World's Shortest List Of Technologies To Watch In 2022 - Forbes - February 3rd, 2022 [February 3rd, 2022]