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How Go Players Disempower Themselves to AI

A MATS researcher examines how AI cheating suspicions and engine adoption have gradually undermined trust and agency within competitive Go culture since AlphaGo's 2016 victory over Lee Sedol.

May 8 · · primary fetch1 sourceupdated May 8 ·

Written as part of the MATS 9.1 extension program, mentored by Richard Ngo. From March 9th to 15th 2016, Go players around the world stayed up to watch their game fall to AI. Google DeepMind’s AlphaGo defeated Lee Sedol, commonly understood to be the world’s strongest player at the time, with a convincing 4-1 score. This event “rocked” the Go world, but its impact on the culture was initially unclear. In Chess, for instance, computers have not meaningfully automated away human jobs. Human Chess flourished as a pseudo-Esport in the internet era whereas the yearly Computer Chess Championship is followed concurrently by no more than a few hundred nerds online.

It turns out that the game’s cultural and economic value comes not from the abstract beauty of top-end performance, but instead from human drama and engagement. Indeed, Go has appeared to replicate this. A commentary stream might feature a complementary AI evaluation bar to give the viewers context. A Go teacher might include some new intriguing AI variations in their lesson materials. But the cultural practice of Go seemed to remain largely unaffected. Nascent signs of disharmony in Europe became nevertheless visible in early…

read full article on lesswrong.com
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  1. lesswrong.comHow Go Players Disempower Themselves to AIprimary