The Intersection of Legendary Retreat and AI Ascent: Charting the New Go Landscape
In a poignant admission, South Korean Go champion Lee Se-dol has retired from professional play due to the advancements in artificial intelligence (AI). As the world's number one ranked Go player in the late 2000s, Lee found himself defeated by DeepMind's AlphaGo AI system in a historic match in 2016.
For decades, Go was considered an unattainable challenge for even the most advanced computer programs due to its immense complexity and vast number of possible configurations. However, thedefeat of Se-dol by AlphaGo served as a wake-up call , introducing the world to a new era of machine learning programs that promised to surpass traditional AI in intelligence and creativity.
Since then, DeepMind has continued to improve its AI Go systems. In 2017, it introduced AlphaGo Zero, a version of the program that surpassed even AlphaGo by learning to play through self-study rather than relying on a database of human games. The new AI system was able to defeat its predecessor 100 games to nil after just three days of supercomputer-assisted play.
In response, DeepMind's CEO Demis Hassabis praised Lee for his "true warrior spirit" and acknowledged his status as one of the greatest Go players in history. While Lee plans to commemorate his retirement by playing a match against the South Korean AI program HanDol, he admits that even with a two-stone advantage, he expects to lose the first game. This marks an exciting new chapter for the world of AI and its potential impact on human competition in complex games such as Go. Stay informed with our daily digest and homepage updates on this captivating topic.