![]() Ke Jie (9 dan professional) and AlphaGo’s handler - Aja Huang (5 dan amateur) - took their places at the game-board and, with a few official statements by the coordinators and the formality of nigiri, the colours where assigned and the game began. Tomorrow, Ke Jie might strike back - I hope he does. In the Chess world, this took a decade or more. The engine won fifty-nine of those games - all sixty if you grant her a victory for one game that ended prematurely due to technical troubles on the human-player’s end - but, by the end of the year 2016, this outcome was a foregone conclusion in my mind.įrom all the evidence, it appears that AlphaGo has walked the path from first victory by an algorithm against human champion to last victory of a human champion against an algorithm in about one year. I read the stories and perused the records from the sixty games played online by the mysterious character who identified as Magist or Master and was later revealed to be none other than a new revision of DeepMind’s AlphaGo. I watched as Deep Zen - another of these new-generation of deep-learning-powered hybrids - failed to repeat DeepMind’s achievement when matched against Cho Chikun (9 dan professional) - he of the crazy hair, the tea drinker, almost definitely the most well-known Go player alive. In March 2016, this was a huge surprise to me as a computer scientist and Go player: it was too soon. I watched, mused and wrote while last year’s Google DeepMind Challenge Match saw the upstart’s robot beat Lee Sedol (9 dan professional) - the Roger Federer of Go. I have been playing Go for many years and I am currently ranked in the middle of the “ single-digit kyu” section of the amateur rank table in both Europe and South Africa. ![]() I watched the live-stream and saw the thing unfold. Yesterday, on the first day of the Future of Go Summit in Wuzhen, China, Google DeepMind’s AlphaGo (9 dan professional) neatly defeated Ke Jie (9 dan professional), the nineteen-year-old ‘final hope’ for human players of the ancient game.
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