American Go E-Journal » Computer Go/AI

AlphaGo-Lee Sedol Match: Game 4 News Coverage

Sunday March 13, 2016

Lee Sedol defeats AlphaGo in masterful comeback – Game 42016.03.14_AlphaGo-Lee-Sedol-game-4-6-300x453
Go Game Guru

South Korean Gets ‘Priceless’ Victory Over Computer in Go Match
New York Times

 

After Three Losses, Master Go Player Scores A Win Against Computer
NPR

Go Grandmaster Lee Sedol Grabs Consolation Win Against Google’s AI
Wired

Go champion Lee Se-dol strikes back to beat Google’s DeepMind AI for first time
The Verge

Go Champion Beats AlphaGo Software on Fourth Try
Wall Street Journal

Go champion notches first victory against Google computer
Financial Times

In the Age of Google DeepMind, Do the Young Go Prodigies of Asia Have a Future?
The New Yorker

Is Artificial Intelligence Being Oversold?
Scientific American

 

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Lee Sedol Notches Win Against AlphaGo in DeepMind Challenge Game 4

Sunday March 13, 2016

Lee Sedol 9P made a comeback Sunday after three consecutive losses, to beat AlphaGo in the fourth game of the Google 2016.03.13-lee-sedol-round4DeepMind Challenge. Playing as white, Lee won by resignation after 180 moves. AlphaGo held a strong position for the first half of the game, but commentators noted that Lee Sedol played a brilliant move 78, followed by a mistake by AlphaGo at move 79. “Today’s game was another example of AlphaGo playing a very interesting, good game,” said English commentator Michael Redmond 9P. “However, move 78 by Lee Sedol was really brilliant — and enabled him to win.“ Song Taegon 9P, the Korean commentator, said that “It seems Lee Sedol can now read AlphaGo better and has a better understanding of how AlphaGo moves. For the 5th match, it will be a far closer battle than before since we know each better. 2016.03.12_demis-reviewsProfessional go players said that they became more interested in playing go after witnessing AlphaGo’s innovative moves. People started to rethink about moves that were previously regarded as undesirable or bad moves. AlphaGo can help us think outside of the box.“ As in the previous games in this match, Lee used up all of his time and two periods of byō-yomi overtime, playing nearly two hours on his last period. With the match score 3-1, AlphaGo has already secured victory in the Google DeepMind Challenge Match, but Sunday’s loss heightens the drama going into the final game, Game Five, which will be played on Tuesday, March 15 at 1pm KST.
photo (left): AlphaGo’s Demis Hassabis and David Silver review Game 4 with Michael Redmond 9P; photo by Chris Garlock. photo (right): Lee Sedol, courtesy Geordie Wood for Wired.
Click here for Michael Redmond’s Match 3 Game Highlights and here for the Match 4 Livestream commentary by Michel Redmond 9P with Chris Garlock. Click here for complete commentaries on games 1-4, as well as brief game highlights for each round.
The fifth and final game in the 5-game Lee Sedol-AlphaGo match will be Tuesday, March 15, 1P KST (Monday night 9p PST, midnight EST). The match will be livestreamed on DeepMind’s YouTube channel with commentary by Redmond and Garlock. And catch Myungwan Kim 9P’s commentary with Andrew Jackson starting at 10P PST on the AGA’s YouTube Channel. 

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AlphaGo-Lee Sedol Match: Game 3 News Coverage

Saturday March 12, 2016

Google’s AI Takes Historic Match Against Go Champ With Third Straight Win2016.03.13_AlphaGo-Lee-Sedol-game-3-game-over-550x310
Wired

AlphaGo beats Lee Sedol in third consecutive Go game
The Guardian

Artificial intelligence: Google’s AlphaGo beats Go master Lee Se-dol
BBC

AlphaGo shows its true strength in 3rd victory against Lee Sedol
Go Game Guru

Google’s Go Computer Beats Top-Ranked Human
Fortune

Google’s A.I. Beats Human Champ at Go for Third Straight Time2016.03.12_AlphaGo-Lee-Sedol-game-3-Chris-Garlock-Michael-Redmond-550x367
Slate

AlphaGo is the official winner in landmark man vs machine Go match
ZDNet

AlphaGo beats Lee Se-dol again to take Google DeepMind Challenge series
The Verge

Match 3 Livestream – Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Commentary by Michael Redmond 9P with Chris Garlock

Alpha no Go – After the Match (manga)
imgur

The Sadness and Beauty of Watching Google’s AI Play Go (Game 2)
Wired

 

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San Diego & SDGC Join Forces to Watch Lee Sedol – AlphaGo Game 3

Saturday March 12, 2016

Seventeen people attended a go house-party on Friday evening to watch the third game in the Lee Sedol – AlphaGo match.2016.03.12_San-Diego-party Members of the San Diego Go Club and the UCSD Go club gathered at the SDGC president’s home to try to root the human on to victory. “It was almost like a go sports bar,” reports  San Diego Go Club President Ted Terpstra, “with two big-screen TVs, a couple of Macs, iPads and a bevy of cell phones all tuned to the action. The upstairs’ TV was turned on to the DeepMind YouTube analysis by Chris Garlock and Michael Redmond 9P while downstairs some were watching the AGA YouTube channel featuring Andrew Jackson and Cho Hyeyeon 9P. Gobans were scattered around flat surfaces so that the spectators could look at variations during the match. Pizza and pop supplied by the American Go Association added to the party atmosphere. Play was well past the four-hour mark when Lee Sedol resigned and lost the  game and the match. The last of the disappointed and weary group ambled out at 12:30 a.m. PST.”
photo by Ted Terpstra

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AlphaGo beats Lee Sedol again to take Google DeepMind Challenge series

Saturday March 12, 2016

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Michael Redmond on AlphaGo-Lee Sedol Games 1 & 2 (plus his advice for Game 3)

Friday March 11, 2016

Michael Redmond 9P has been providing the English game commentary for the Lee Sedol-AlphaGo match, with American Go E-Journal Managing Editor Chris Garlock. On Friday, the break day before the match resumes on Saturday with Game 3, Redmond sat down with Garlock to recap the first two games and look ahead to the critical third game on Saturday. 

Game 1: Underestimating AlphaGo: Lee Sedol, taking black, played a really unusual opening in the first game. I2016.03.11_AlphaGo-Lee-Sedol-first-move-550x369 think he had a plan to try to throw the computer off course by playing an opening it didn’t have in its’ database. But I’ve been talking to the Deep Mind programmers and it’s not actually a database but machine learning that recognizes patterns, so AlphaGo doesn’t need to have an exact match and it doesn’t really matter if some of the moves are slightly different, so AlphaGo can judge the situation, which is quite different from the usual computer programs and closer to the human way of thinking. So Lee’s plan to play something that AlphaGo hadn’t seen before just didn’t work. And in fact, Black 27 was an overplay and Lee got in trouble himself and I think it’s because he was playing an opening that he really wasn’t familiar with and probably underestimating AlphaGo. Even though he mostly recovered from that mistake, White 102 clearly took Lee Sedol by surprise. It’s a move I was expecting, because White had to do something like that, although of course you need the reading to back it up. It’s a move Lee Sedol should have been looking at and I think maybe one of the reasons he might not have been looking at it is that maybe he underestimated AlphaGo and wasn’t treating it like a top human player. In this game, I didn’t find anything I would call original in AlphaGo’s play, it was just plainly strong. Click here for Redmond and Garlock’s Match 1 15 min Summary.
2016.03.11_AlphaGo-Lee-Sedol-game-2-t-300x300

Game 2: AlphaGo’s Exquisite Game: In the second game, AlphaGo had black, and I was looking to see how it would play. In the games with Fan Hui, I wasn’t impressed with AlphaGo’s opening; it was really too orthodox, and too simple for a game with black, because of the big komi. Black needs to play more aggressively or more of a speed-oriented game. So I was interested to see how AlphaGo had changed since last October. So it was rewarding to see that AlphaGo was playing moves that were not conventional and they were speed-oriented and putting pressure on Lee Sedol from the start of the game. And then there was the shoulder-hit at move 37, which was a move that really took me by surprise and I’m pretty sure it took Lee Sedol by surprise too. One of the programmers dug into the files and found that the possibility of playing that move was something like one in ten thousand so it was a really unlikely move but it happened to be on the edge of AlphaGo’s search and in the analysis of the possible variations, AlphaGo decided to knock it up to the move that it would choose. I still don’t really understand the mechanics of it but it’s really interesting. Not only does AlphaGo have good shape or pattern-matching, but it can also think itself out of that and find something completely different, even though it might not have had a good score in the pattern analysis. That game on the whole was an exquisite game by AlphaGo. I actually thought that Lee Sedol had a pretty good chance to win up until the middle game and the game was sort of in the balance for a while there, but then almost before you notice it, AlphaGo had very subtly built up an advantage after Lee Sedol played a few slack moves. In this game, Lee Sedol took territory in the beginning, allowing AlphaGo to sort of dance around the board and take the initiative, and that’s not really typical of Lee Sedol, so once again he wasn’t really playing his own style. Click here for Redmond and Garlock’s Match 2 90-second Summary.

Game 3: Play Your Own Game
If I were Lee Sedol I’d just play an opening I’m familiar with and I wouldn’t worry about whether AlphaGo knows the moves or not and then he should continue into the middle game along a familiar path in which case he’ll be more at home and less likely to make mistakes. When Lee Sedol plays well he’s brilliant, of course. If he plays his own game I think he’s more likely to get into the middle game with a favorable position, which is really necessary. He hasn’t done that in these first two games; he’s been going into the middle game in a fairly difficult position. If Lee Sedol has a favorable position in the middle game, that’ll be something new for AlphaGo, something we haven’t seen yet. Just as a test of the program itself, that’s something I really want to see how it handles that.

The third game in the 5-game Lee Sedol-AlphaGo match will be Saturday, March 12, (Friday night 8p PST, 11p EST). The match will be livestreamed on DeepMind’s YouTube channel with commentary by Redmond and Garlock. And catch Cho Hyeyeon 9P’s commentary with Andrew Jackson starting at 9P PST on the AGA’s YouTube Channel. 

photos: (top right) Lee Sedol plays the first move in the first game; (middle left) Lee at the press conference after the second game

 

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AlphaGo Don’t Care

Friday March 11, 2016

by Anders Kierulf

AlphaGo is badass. Like the honey badger, AlphaGo just don’t care.2016.03.11_alphago

Lee Sedol may have underestimated AlphaGo in game 1, but he knew what he was up against in game 2. I watched Michael Redmond’s commentary during the game, then Myungwan Kim’s commentary this morning. The Go Game Guru commentary is also very helpful.

The tenuki at move 13: Professionals always extend at the bottom first? AlphaGo don’t care. It builds a nice position at the top instead.

The peep at move 15: This is usually played much later in the game, and never without first extending on the bottom. AlphaGo don’t care. It adds 29 later, and makes the whole thing work with the creative shoulder hit of 37. It even ends up with 10 points of territory there.

With 64 and 70, Lee Sedol made his group invulnerable to prepare for a fight at the top. AlphaGo don’t care, it just builds up its framework, and then shows a lot of flexibility in where it ends up with territory.

2016.03.11_kierulfLee Sedol threatens the territory at the top with 166? AlphaGo don’t care, it just secures points in the center instead. Points are points, it doesn’t matter where on the board they are.

What can Lee Sedol do in the next games? I think he needs to get a complicated fight going early in the game, start ko fights, in general increase the complexity. But I fear AlphaGo just won’t care.

Kierulf is the founder of Smart Go, “a Utah corporation dedicated to creating a strong go-playing program with a superior user interface.” In addition to creating the various SmartGo software programs, Kierulf has published dozens of go e-books. This post originally appeared on the SmartGo blog.

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AlphaGo Scores Another Win to Go Up 2-0 Against Lee Sedol in DeepMind Challenge Match

Thursday March 10, 2016

AlphaGo posted a second straight win against Lee Sedol 9P on Thursday in Seoul. “Yesterday I was surprised but today it’s 2016.03.10_lee-sedol-game2more than that — I am speechless,” said Lee in the post-game press conference. “I admit that it was a very clear loss on my part. From the very beginning of the game I did not feel like there was a point that I was leading.” DeepMind founder Demis Hassabis was “speechless” too. “I think it’s testament to Lee Sedol’s incredible skills,” he said. “We’re very pleased that AlphaGo played some quite surprising and beautiful moves, according to the commentators, which was amazing to see.”

The complex, tense game ran nearly five hours and appeared to offer validation of AlphaGo’s evaluative ability, the main roadblock to proficiency for previous go programs. Hassabis said that AlphaGo was confident in victory from the midway point of the game, even though the professional commentators couldn’t tell which player was ahead.

Lee, the winner of 18 world championships, must now win all three remaining games to win the million-dollar prize.

Click here for the Game 2 commentary by Michael Redmond 9p with American Go E-Journal Managing Editor Chris Garlock. The third game in the 5-game Lee Sedol-AlphaGo match will be Saturday, March 12, (Friday night 8p PST, 11p EST). The match will be livestreamed on DeepMind’s YouTube channel with commentary by Redmond and Garlock.
photo courtesy Handout/Getty Images 

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AlphaGo-Lee Sedol Match Draws Global News Coverage

Wednesday March 9, 2016

Google’s AI Wins First Game in Historic Match With Go Champion2016.03.10_deepmind-telegraph
Wired

Master of Go Board Game Is Walloped by Google Computer Program
New York Times

Google’s software beats human Go champion in first match
Washington Post

Google’s DeepMind AI makes history by defeating Go champion Lee Se-dol
The Telegraph

Google’s DeepMind defeats legendary Go player Lee Se-dol in historic victory
The Verge

Google’s AlphaGo AI defeats human in first game of Go contest
The Guardian

Google’s AlphaGo Wins First Match Against Go Grandmaster Lee Sedol
Gadgets 360

Google DeepMind’s AlphaGo beats Go champion Lee Sedol in AI milestone in Seoul
CNBC

It’s 1-0 to AlphaGo! Google’s DeepMind computer BEATS human champion Lee Sedol in the first of five battles
MailOnline

‘I’m in shock!’ How an AI beat the world’s best human at Go
New Scientist

photo by AFP

 

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Evanston Go Club watches historic AlphaGo-Lee Sedol match

Wednesday March 9, 2016

The Evanston Go Club hosted a watch party for the first Alpha Go-Lee Sedol game at the home of club president Mark 2016.03.10_evanston-watch-partyRubenstein on Tuesday night. “We all feel like we’ve been part of go history tonight,” said Rubenstein. “It’s an incredible achievement, one which most of us thought was many years away, if at all. I’m stunned, and a little sad. I always liked being able to say that computers couldn’t beat the strongest humans. It’s a new world!” Watching the game were Nathan Chan, Jeff Pratt, Moon Ki Cho, and Scott Ogawa.
- photo by Mark Rubenstein

The second game in the Lee Sedol-AlphaGo match will be Wednesday, March 9, 8p PST (11p EST). The match will be livestreamed on DeepMind’s YouTube channel with English commentary by Michael Redmond 9p with American Go E-Journal Managing Editor Chris Garlock.

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