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Match 1 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo

DeepMind · Youtube · 51 HN points · 3 HN comments
HN Theater has aggregated all Hacker News stories and comments that mention DeepMind's video "Match 1 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo".
Youtube Summary
Watch DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. This is the livestream for Match 1 to be played on: 9th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 8th March 20:00 PT, 23:00 ET.

In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.

Match commentary by Michael Redmond (9-dan pro) and Chris Garlock.
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All the comments and stories posted to Hacker News that reference this video.
The YouTube video: https://www.youtube.com/watch?v=vFr3K2DORc8
acid__
Is this video laggy and constantly showing "The match will start in -0- seconds" for anyone else?
mijoharas
Yes, apparently it gets better towards the end, but I have had to give up watching the start because it is too annoying.
Mar 09, 2016 · 24 points, 4 comments · submitted by Laremere
dzdt
Its clear neither of the commentators knows anything about AI. I wish they would talk about the strategy, what they do know.
taneq
I'm more interested in the fact that they clearly consider the AI to be on par with Lee Sedol, and halfway through they started referring to AlphaGo as 'he' rather than 'it'.

Everything I've read about the Deep Blue games described the computer playing in a very mechanical way, quite differently to what you'd expect from a human grandmaster. AlphaGo seems to play qualitatively very much like a human player.

tvvocold
Poll: Who are you rooting for in the Lee Sedol vs. AlphaGo match?

https://news.ycombinator.com/item?id=11250806

clickok
And AlphaGo wins.

Unfortunately, while I could follow the tactical aspect, I'm not familiar enough with the game to understand the grand strategy, so it was a bit of an odd experience-- something complicated was happening, but even being familiar with neural networks and reinforcement learning, I couldn't really appreciate what was going on.

In contrast, Deep Blue was an impressive machine, but I understand that a combination of game tree search with position evaluation could allow you to evaluate each move in enough detail to decide whether it was "good" or "bad". Here, we have a massive neural network developed by one of the companies on the cutting edge of both research and hardware to produce something that is able to beat even the best humans in a game with a much higher branching factor. I can imagine doing a primitive sort of tree-search by hand with chess using Deep Blue's evaluation heuristics; doing even a few forward propagations through AlphaGo's value network using pen-and-paper would probably consume more time than was allotted for the match.

Mar 08, 2016 · 16 points, 1 comments · submitted by davidcgl
pschanely
Is this the most important human-computer matchup of our lifetimes? Seems like it should be a bigger deal.
Mar 08, 2016 · 2 points, 0 comments · submitted by pvinis
Link to the stream: https://www.youtube.com/watch?v=vFr3K2DORc8

Starts at 7:30 PM PST, 10:30 PM EST.

Mar 08, 2016 · 7 points, 0 comments · submitted by blacktulip
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