Google’s AlphaGo AI defeats team of five leading Go players

Re:Google’s AlphaGo AI defeats team of five leading Go players by IanCal on Friday May 26, 2017 @01:29PM (#14425759)

I'd love to take this as far as possible.

What happens if you allow the team to roll back decisions as they see they're at a disadvantage? How far away are we from an effectively unbeatable machine?

Given what people can learn over time, can they learn to beat it?

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Re:Google’s AlphaGo AI defeats team of five leading Go players by Jenya_ on Friday May 26, 2017 @02:47PM (#14426270)

There is already a system in Go which allows to measure the difference between unequal opponents - handicap stones.

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Re:Google’s AlphaGo AI defeats team of five leading Go players by Jach on Friday May 26, 2017 @06:36PM (#14427692)

And it's interesting to note that according to DeepMind, the Master version of AlphaGo was 3 stones stronger than the version that played Lee Sedol. I don't know if the latest one playing Ke Jie is even stronger than Master or by how much, but the difference in Ke Jie and Lee Sedol isn't 3 stones.

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