{"id":22631,"date":"2023-03-14T00:10:23","date_gmt":"2023-03-14T00:10:23","guid":{"rendered":"http:\/\/900017b1-41cd-4831-aba1-cfb169e0729e12"},"modified":"2023-03-14T00:10:23","modified_gmt":"2023-03-14T00:10:23","slug":"alphago-pushed-human-go-players-to-become-more-creative","status":"publish","type":"post","link":"https:\/\/wp.worldtechguide.net\/alphago-pushed-human-go-players-to-become-more-creative\/","title":{"rendered":"AlphaGo pushed human Go players to become more creative"},"content":{"rendered":"
Earlier this year, an amateur Go player decisively defeated<\/ins><\/span> one of the game\u2019s top-ranked AI systems. They did so using a strategy developed with the help of a program researchers designed to probe systems like KataGo for weaknesses. It turns out that victory is just one part of a broader Go renaissance that is seeing human players become more creative since AlphaGO\u2019s milestone victory in 2016<\/ins><\/span><\/p>\n In a recent study published in the journal PNAS<\/ins><\/em><\/span>, researchers from the City University of Hong Kong and Yale found that human Go players have become less predictable in recent years. As the New Scientist<\/ins><\/em> explains<\/ins><\/span>, the researchers came to that conclusion by analyzing a dataset of more than 5.8 million Go moves made during professional play between 1950 and 2021. With the help of a \u201csuperhuman\u201d Go AI, a program that can play the game and grade the quality of any single move, they created a statistic called a \u201cdecision quality index,\u201d or DQI for short.<\/p>\n <\/span><\/p>\n After assigning every move in their dataset a DQI score, the team found that before 2016, the quality of professional play improved relatively little from year to year. At most, the team saw a positive median annual DQI change of 0.2. In some years, the overall quality of play even dropped. However, since the rise of superhuman AIs in 2018, median DQI values have changed at a rate above 0.7. Over that same period, professional players have employed more novel strategies. In 2018, 88 percent of games, up from 63 percent in 2015, saw players set up a combination of plays that hadn’t been observed before.