American Go E-Journal » Computer Go/AI

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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AlphaGo Defeats Lee Sedol in First Game of Historic “Man vs Machine” Showdown

Wednesday March 9, 2016

AlphaGo scored a stunning win against Lee Sedol 9P in the first game of the historic match between Google Deep Mind’s 2016.03.09_AlphaGo-Lee-Sedol-Aja-Huang-550x366AI and the world’s top professional go player, forcing Lee to resign in just 186 moves. “#AlphaGo WINS!!!! We landed it on the moon,” tweeted DeepMind CEO Demis Hassabis after the game. “So proud of the team!! Respect to the amazing Lee Sedol too.” At a jam-packed post-game press conference, Lee admitted “I was so surprised. Actually, I never imagined that I would lose. It’s so shocking.” Cho Hanseung 9p said that “AlphaGo is much stronger than before, when it played against Fan Hui 2p!” Click here to see the English game commentary by Michael Redmond 9P with Chris Garlock on the Google Deepmind YouTube Channel.

The match began on Wednesday, March 9, at the Four Seasons Hotel, in Seoul, Korea. Lee is playing for one million dollars and, perhaps more importantly, the pride of countless humans around the world who don’t yet wish to see 2016.03.09_lee-press-crushcomputers triumph in the ancient board game go. DeepMind, on the other hand, seek to test the abilities of their machine and make another step along the road towards a general purpose learning algorithm.

Game two of the match is scheduled to take place Thursday March 10 (local time; see below for US details) and Lee said “I am looking forward to tomorrow.”

Includes reporting by Go Game Guru; click here for their full report, photos and a game record.
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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Google DeepMind Challenge Broadcast Update

Tuesday March 8, 2016

In addition to the live commentary by Michael Redmond 9P and Chris Garlock on the first AlphaGo-Lee Sedol game (starting2016.03.09_usgo-AlphaGoLeeSedol 2016.03.09_Google DeepMindat 8p PST tonight), Myungwan Kim 9p will offer commentary on the AGA YouTube channel and Twitch, starting at 9p PST tonight. Kim’s commentary will be targeted for high level players. “Michael and Chris will be hosting DeepMind’s official broadcast for the wide audience attracted to this historic game, so we really wanted to go deep on the variations and complexities that might show up,” said co-host Andrew Jackson.

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Myungwan Kim 9P plans live AlphaGo-Lee Sedol commentary Friday night at LA Korean Cultural Center

Tuesday March 8, 2016

Myungwan Kim 9P will provide live commentary this Friday night on the third game in this week’s DeepMind AlphaGo vs2016.03.09_MyungwanKim_DSC_0373-136x150 Lee Sedol 9P match. LA-area fans can watch in person at the Korean Cultural Center of Los Angeles starting at 7p. The Lee Sedol/AlphaGo challenge match is being held March 9-15 at the Four Seasons Hotel in Seoul, South Korea, and all five of the matches will be livestreamed on DeepMind’s YouTube channel with commentary by Michael Redmond 9P with American Go E-Journal Managing Editor Chris Garlock. Kim, a professional Korean 9-dan player, lives and teaches in Los Angeles. The event is free but registration is required as seating is limited; click here to register.

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AlphaGo vs Lee Sedol: Match schedule and details

Tuesday March 8, 2016

The much anticipated five game match between Lee Sedol 9P and Google DeepMind’s AlphaGo begins this week, on Wednesday, March 9 2016.03.02_DeepMind - YouTube(March 8 for American viewers). Here is the match schedule, along with details of how you can watch and timezone conversions, courtesy Go Game Guru.
The first game in the Lee Sedol-AlphaGo match will be Tuesday, March 8, 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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Humanity the winner at Deep Mind Challenge Match, Google Chief Says

Monday March 7, 2016

“The winner here, no matter who wins, is humanity,” said Alphabet executive chairman Eric Schmidt at Tuesday’s press conference launching2016.03.08_google-press-conf the Google Deep Mind Challenge Match between Google’s AlphaGo and world champion Lee Sedol 9P. Alphabet is the parent company of Google. Hundreds of journalists crowded into the 6th-floor ballroom at the Four Seasons in downtown Seoul. Camera flashes exploded as Schmidt took the stage to proclaim that “This is a great day for humanity. Humans will be smarter, the world will be a better place.” Deep Mind CEO Demis Hassabis called go “The most elegant game humans have ever invented.” Hassabis, a go player himself, noted that because of go’s complexity, “It’s been a longstanding challenge for the AI community to master this game.” Lee Sedol, who a few weeks ago confidently predicted he would defeat AlphaGo, adopted a more circumspect approach this time. “Playing against a machine is very different from an actual human opponent,” the world’s Number 1 told the BBC. “Normally, you can sense your opponent’s breathing, their energy. And lots of times you make decisions which are dependent on the physical reactions of the person you’re playing against. With a machine, you can’t do that.” Indeed, asked about AlphaGo’s strengths, Hassabis sais that “AlphaGo will never get tired and it won’t be intimidated, unlike a human opponent.” Even so, Hassabis said, “We’re many decades away from a real human AI; we’re still playing games.” And Sedol turned a bit philosophical at the end of the press conference, quietly saying that “If I get defeated it might be negative for go, but it is inevitable in this modern life. But it won’t destroy the value of go itself.”
- report/photo by Chris Garlock; photo: (l-r): Hassabis, Lee & Schmidt

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