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unlike others on this planet.
Go put you somewhere
where are you always in the farthest part
your capacity.
There is a reason that people have played Go
for thousands and thousands years, right?
Not only that they want to understand Go.
They want to understand what it means.
And maybe it's really what it means to be human.
When I was a kid, I like playing games.
I started with board games like chess.
And then I bought my first computer when I was eight years old
with the victory of the chess tournament.
From that moment on, I felt the computer
is a magic device like this that can extend the power of your mind.
Virtual environments and games,
we think they are the perfect platform to develop and test AI algorithms.
The game is very comfortable, because many of them have scores,
so it's very easy to measure additional progress.
So I will show some videos from the agent system, AI.
So let's start with Breakout.
So here you control bats and balls,
and you try to break through this rainbow colored wall.
The agent system must learn everything for itself,
only from raw pixels.
Don't know what controls it.
It doesn't even know what object is this game.
Now, at the beginning, after 100 matches, you can see that the agent is not very good.
This loses the ball most of the time.
But it starts to feel Hanging that idea
that the bat must go towards the ball.
Now, after 300 matches,
this is as good as because every human being can play this,
and quite a lot balls return every time.
We think, "Well, that's really cool."
But we let the system play for the other 200 matches,
and it does this extraordinary thing.
He found the optimal strategy
is digging a tunnel on the side.
And put the ball around the back of the wall.
Researchers do this, amazing AI developers,
well, they are not so good at Breakout, and they don't know about that strategy.
So, they learn something from their own system,
which, uh, you know, is quite funny and quite instructive,
I think, about the potential for general AI.
So, for us, what's the next step now?
Go is the most complex game, quite a lot, has been designed by humans.
Defeating professional players on Go
is a big challenge that has long existed AI research.
Wow.
You really want to kill me, yeah?
No, I don't want to, but I'm trying to survive.
Yes, that's it. There he is.
I am a professional Go player.
I am also a European Champion.
With that step,
You will lose sure.
You like to beat me but then you panic.
You fear that victory will run away from you.
In general, when you are afraid, victory always avoids you.
I was born in China.
When I am 18 years old, I want to change my life.
That's why I went to France.
I want to try to forget Go.
But that's not possible.
Because all the things I learned in my life are through Go.
It's like a mirror.
When I see Go, I also see myself.
For me, Go is real life.
Dear, Mr. Fan.
My name is Demis Hassabis.
I run an artificial intelligence company based in London called DeepMind.
As the strongest Go player in Europe,
we want to invite you to our office in London,
both of them to meet you personally and share with you
interesting Go project that we do.
If you are interested come to visit us,
please let us know.
Thank you very much. Salam, Demis.
When I see this e-mail,
I don't know whether it's true or not.
I will accept this. Why not?
For me, everything is adventure.
I want to go visit DeepMind
to find out what this Go project is.
On my first visit, I thought maybe they wanted me
to sit in a special room,
attach a lot of cables to my head,
and also my body,
let me play to scan my brain.
I don't know,
to do research.
We need to get Fan Hui for DeepMind
to see us is a serious operation, and we are serious people...
doing the right research.
And the search time gets better and better
when we go from, for example, one to eight, in one of these,
always up.
We think of DeepMind as...
kind of like the Apollo program effort for AI.
Our mission is basically understand intelligence,
and recreate artificially.
And then, after we finish doing it,
we feel that we can use it technology to help the community
solve all kinds of other problems.
If you step the actual game,
we can see, type, how AlphaGo thinks,
what are the most likely variations which he thinks will occur.
We have worked on AlphaGo,
our program to play Go, is only under two years now.
All small patterns flow together,
layer by layer, after layer, after layer.
I started talking about the Go game with Demis more than 20 years ago.
And so, this has happened a very long journey.
Game Go is a holy grail artificial intelligence.
Years, people have seen this game
and they think, "Wow, this is too difficult."
Everything we've tried on AI,
it just falls when you try the Go game.
And that is why it feels a real litmus progress test.
If we can solve Go, we know we have done something special.
So with Fan Hui, we started talking
what is the real purpose of the visit.
It's not just the Go project we want him to help,
actually we want to play it, and we have a very strong program.
It's okay, this is just a program.
Very easy.
So, it will be easy to play.
Many people think that it's been decades.
Some people think it will never happen.
Because they feel that to succeed on Go, you need human intuition.
Go is the oldest in the world keep playing board games.
And, in some cases,
This is one of the simplest and also the most abstract.
There is only one type of work.
There is only one type of movement.
You just place the piece on the board.
And then, your goal is to create groups related to your rock
that surrounds some empty territory.
And when you surround enemy stones,
You catch them, and remove them from the board.
You get points from the surrounding area.
And, at the end of the game, people with the most territories win.
It seems very simple.
But, then you sit down to play, and you immediately realize,
it's like, "Well, I know technically what I can do, but I don't know what to do."
Go very challenging for computers to overcome
because it is compared to, say, chess,
the number of possible moves in a much greater position.
In chess, this is around 20.
In Go, this is around 200.
and number of possibilities board configuration
more than the number of _ atoms in the universe.
So even if you take everything computers in the world,
and run it for a million years,
it won't have enough computational power to calculate all possible variations.
If you ask great Go players why do they play certain movements,
sometimes, they will only tell you it feels right.
So, we have to go up with some kind of smart algorithm
to imitate what people do with their intuition.
- Nice to meet you. - Oh, hello. Nice to meet you too.
So with Fan Hui, we agree the best match of five matches.
And we agreed that it would be filmed.
You know, we will treat it as a serious partner.
I play with AlphaGo.
Aja Huang pushes stones for AlphaGo.
And, of course, I think I will win games with AlphaGo
because it's just a program.
Good game.
Have a good game.
The first game, I made a few mistakes,
and I lost the game.
Oh Strange. A very strange game.
In that first match, I thought something was clicked for him
that this is not an ordinary Go program.
We don't just do just like everyone else,
that something new is happening.
Second game, I try to change my style.
But the problem is whether I also lost in the second game.
And also the third game,
fourth game,
even the last game.
I lost, five zeros.
AlphaGo wins all games.
After losing, losing, losing,
You can feel the pressure getting heavier and heavier.
And several times after the match,
he said he wanted to go out looking for fresh air.
I said, "Oh, I can go with you and chat."
He said, "No, I want to go alone."
I feel something very strange.
I lost a program.
And I don't understand myself anymore.
I am worried he will even return.
You know, he looks very low,
and he spends about an hour away from the office.
He changed again completely.
I tell Maddy, "This is the first time in history
that human Go professional players lose to a program.
He tells me," Yes, we know.
But for you... Are you okay? "
I told him...
" No, and yes. "
I don't like losing games,
but I'm very happy to play for history.
Artificial intelligence researchers have solved the game Go
one decade earlier than expected.
A computer named AlphaGo,
able to defeat European human champions.
Artificial intelligence researcher
has made a significant breakthrough.
That's really a big leap forward.
There is a big difference between IBM computer ways to defeat Kasparov,
programmed by expert chess players,
and the way the computer Go-playing, is more or less, self-study.
The way we started training AlphaGo
is to show 100,000 games strong amateurs have played,
which we have downloaded from the internet.
And at first we got AlphaGo to imitate human players.
And then, by playing alone, learning reinforcement,
it plays against different versions of itself millions of times,
and learn from his mistakes.
Specific ideas that drive AlphaGo
will encourage our future.
Technology in the heart of AlphaGo,
they are what are called deep neural networks
which essentially mimics
network of neurons in the human brain.
That's a very old idea,
but recently, due to an increase in in computing power,
this neural network has become very strong,
almost overnight.
Large neural networks which operate on large data
can achieve surprising things.
AlphaGo finds a way to learn how to play Go.
Learning is the main thing here. This is machine learning.
All beauty about these types of algorithms
because they learn for themselves,
they can go beyond
what we, as programmers, know how to do it,
and allows us to make new breakthroughs in the fields of science and medicine.
So, AlphaGo is one of the important steps towards the final goal.
My wife called me.
He told me, "Don't check the internet.
Don't connect to the internet,
because people say bad things
about your match with AlphaGo."
"Fan Hui has lived for a long time in Europe,
he's not a true professional, he's just an amateur player."
This is very difficult for me, very difficult.
The World Goes Skeptic
about how strong AlphaGo really is
and how far it needs
So our program increases with time,
and we want to encourage AI algorithm to the limit,
and see how far this type self-improvement process can go.
So, we need to look at for bigger challenges.
Matches like no other will begin soon in South Korea.
Se-dol Lee, global champion in power...
This person is a genius...
... who will take over AlphaGo artificial intelligence program
in the end human versus machine smackdown.
This is a great moment for both the world of artificial intelligence
and I think, the world of Go.
So far, AlphaGo has been beaten every challenge we provide.
But we will not know the true strength until we play someone who are at the top of the world, like Se-dol Lee.
We chose Se-dol Lee
because we want it legendary, historic player.
Someone who has been recognized as the greatest player in the past decade.
I don't want to sound too arrogant,
but, still, I think I have an advantage.
"I won't be too arrogant,
but I don't think that it will be a very close match. So, considering that it's a few months just passed,
I don't think it's enough for that to be able to catch up with me.
My hope is that it will be good five zero for me, or maybe four to one.
So the critical point for me is to make sure I don't lose one. "
Fifth, please.
We don't know how good
our system will play against someone
as creative as Se-dol Lee.
Also, he is very famous
- to play highly creative battles. - Yes, yes. Yes.
So, this can make it difficult for us, but we'll see.
Maybe, in some ways,
he is the most difficult opponent we can choose.
Yes.
There are still many questions
about whether they can beat or not
someone like Se-dol Lee.
Fan Hui is a good player,
but he is nobody like the top player.
Se-dol Lee is a 9-and professional.
Nine-and professional is the highest ranking that you can achieve on Go.
Ranking system.
Fan Hui, who is a European Champion, is only a 2-and professional.
On the other hand, at the very top, Se-dol Lee is 9-and professional.
Se-dol Lee is Go what Roger Federer is tennis.
He plays at Wimbledon to win a Grand Slam.
And not just this year. He will be there next year,
and the following year, and the following year.
Of course, internet,
and all the Go, everyone,
community maybe not 100%, maybe 99.999%
thought Se-dol Lee would win very easily.
Teacher, I'm stuck.
How do I leave here?
Good. Hold the stone properly.
Place the stone well, not like that.
And hold it well, like this.
Go is taken seriously in Korea.
So many parts of the culture, like breathing, or, you know,
like taking swimming lessons, or something.
On the surface, this is a game,
but inside, it has a very deep philosophy.
The Go Board reflects individuals who play.
The truth will appear by itself on the board.
You won't be able to hide it.
In ancient China, Japan, Korea,
Go is one of four noble things,
like four achievements for literati,
with music, poetry, and painting.
So, people think of Go
players very smart and very noble.
It's okay to lose,
as long as you play the best.
Bow to your opponent.
Mr. Kwon started this school,
so he can produce
great players in Korea.
Se-dol Lee, when he was eight years old,
he came here, attended class,
9am to 9pm for seven days.
And then, he lives with Mr. Kwon.
I remember his round face
and dark brown eyes.
Since he came from an island, he easily attracted attention.
But unlike other kids,
His eyes shone brightly.
7th WORLD MONTH TRAVEL
Se-dol Lee is a boy
I remember when I was a student learned Go.
He is very young and quite rural to think that pizza grows on trees.
When I was young,
I started playing Go because I thought it was fun
to defeat people who are older than me.
Since then, it has become a type of my creation.
I want the style of my Go to be something different,
something new,
my own thing.
Something that is nobody has been thought of before.
Se-dol Lee plays many things
interesting, where you feel like
he wins and loses outside.
He wants to do something innovative or bring things to the next level.
So every Go player learns the game with certainty.
21ST ASIAN TV CUP CHAMPIONSHIP
For about ten years, he dominates the world of professional Go.
He won 18 World Championships.
Se-dol Lee
is a genius of this century.
INITIAL 2012 CHAMPIONSHIP AGREEMENT GO AT GRAND CENTRAL HOTEL, CHINA
Even when I look back now, I am proud of him.
And I'm also proud of myself.
Surely, Se-dol Lee will win the match, five all.
IF YOU WANT TO WIN, YOU WILL LOSE
Yes, all games.
He will win all the matches.
We have our evaluation match last week.
We won the match, and we lost in one match.
And we lost in one match
it will make us look very stupid
if it happens openly.
That means that we still have work to do,
and we must consider this really serious.
There are too many risks, actually,
we can lose, overall.
Not only that, but we can lose in the way it makes us look rather silly.
- Yes - So, I guess, um...
Yes, Aja, do you want to say anything about what you tried?
I work hard.
So, we work all the time right now,
practice our algorithm further,
try to gradually continue to improve
to date where we have matches.
We have gathered together
people with different skills to the same team.
So we have researchers, engineers, valuation people.
But you mean what happens if it creates something new
- who is not in the center of gravity? - Yes
Then we don't see it.
You will see it.
- Good. - The first thing to know...
I think we have the perfect solution,
- But it's not perfect. - Yes
It is the main programmer, and builds the original search engine.
So the responsibility of Aja is quite large.
He who will sit opposite Se-dol Lee
and really playing the movements made by AlphaGo.
- I feel happy. - Yes?
Se-dol Lee is a great player,
and I feel honored to play with him.
Many of my friends, they are very excited about the match.
They keep telling me that the whole world is watching.
"Just prepare AlphaGo."
Hello.
Hello, Demis. Can you hear us?
Yes, I can hear you, friend.
Can you hear me okay?
Yes. Perfect.
"I'm curious to meet you,
the amazing developer
who made AlphaGo.
Nice to meet you."
Thank you, thank you. Too.
It's really nice to meet you.
I like the Go game. I'm not too good,
but I don't know if you know,
but we actually have similarities.
I actually also practice in a game at a young age.
I was, when I was young, a professional chess player.
He said that he had been
a professional chess player.
I used to play for the English team,
and then I stopped playing when I was around 14. I...
When I was 13 years old, I was the second the highest ranked player in the world.
"After the match,
I want to apply that I give you a teaching game Go,
and you give me one chess teaching game."
- Yes - "How does that sound?"
Sounds really good. I will be honored to do that.
"I'm not sure if it's alright to ask this question,
but I see a match against Fan Hui,
and I don't think that's enough at the level playing with me,
but I hear that it's getting stronger.
Can I ask how many _ have become stronger since then? "
Yes. I can't say too much, of course,
but surely there are much stronger.
With more time, I think, a logical approach
will be followed up by on the local Aja search,
- Run fast on AlphaGo, - Right.
- produces a new data set, - Exactly.
- and more time iterations. - Yes
But we run out of time for that, so we have to be realistic.
We realize that if we want to prepare
for mammoth tasks like taking Se-dol Lee,
there will be nothing better than talking to a professional.
And we cannot choose people who are better than Fan Hui.
We invited him as adviser
because during the match, we realized that he was a man with good spirit.
- Welcome back. - Thank you very much.
It's very valuable that we have Fan Hui with us.
Let's go down this way.
He was destroyed by AlphaGo,
but then, he became very positive
and very helpful to us.
When Demis tells me,
"Can you go back to help us make AlphaGo stronger?"
I feel respect.
Of course, I accept it.
I play with AlphaGo
to understand what AlphaGo strong points are
and what might be weaknesses.
I play in the morning,
at dusk,
all the time.
And I found something.
I found AlphaGo's big weakness.
That's the big one.
Superheroes always have it
hidden vulnerabilities, right?
And the same thing applies to AlphaGo.
This is amazing superhuman, in general,
but has certain weaknesses in some situations.
We can think about it there become this space
of all things known,
and he knows most of that is very good.
Then there will be this complicated lump knowledge,
that it only understands very badly.
And it's very difficult for us to characterize
when will it enter be one of these blobs.
But if that happens, can be completely delusional,
think that it's alive in one part of the board
when actually dead or vice versa.
So, there is a real risk that we can lose the match.
Everyone in the team
trying to work more and more solve the problem,
but I think it's difficult
for it to be fixed very quickly.
We have version 18 in the pipe, right?
Well, we will only go for version 18 if it is made
- a significant increase... - If that... Yes.
We have to rerun all tests because they are wrong, unfortunately,
so basically we are a day behind in our evaluation because of that.
Well, maybe we just need to be realistic.
That we have tried many things,
and we come to the point where we say we will really
starts to freeze the code, and says,
"Listen, this...
is not... actually, not finding out."
This delusion is still a realistic possibility for the match.
We have several weaknesses
that we... I don't think we will go to fully repair before the match,
so that causes us a little anxiety.
Se-dol Lee gets ready to rumble.
On Wednesday, directly on the Internet,
This professional South Korean Go player
will take artificial intelligence AlphaGo program.
I am confident that I will win five to zero.
Tomorrow, Julian and George, they pack version 18,
they put it on a laptop, and they fly to Seoul.
- See you in Korea. - Safe travel.
- Good luck to the destination. - See you too.
Are all ready for victory against Se-dol Lee?
Everything is set up, I think.
But when I arrived at the hotel, I would follow the team.
What should we do in the remaining time
is a list of things that can be wrong in system solidity.
We need a place to place AlphaGo down here.
OK, practice. Let's go, please, friends!
Have you set that place
so that Se-dol Lee smokes?
When he is in a difficult situation, he likes smoking.
Yes, there is a terrace, and we will have security,
so he will be able to go up there and be himself.
Which one do you support,
Se-dol Lee or AlphaGo?
I am in an awkward position.
- As you can see, I am a referee. - I see.
I am a referee.
When I get here,
I didn't expect attention to the match.
That's really front page news.
About eight million Koreans play the game Go,
and, even those who don't, You know, recognize Se-dol Lee.
He is a national figure.
And so, there is that. Right?
There is national pride involved.
But, more than that.
Just thinking of a machine playing human in something like this,
I think, it is inherently interesting People.
Can we bring it in?
Come on in? Yes.
I am sure about the match.
I believe that human intuition is still too advanced
because AI has followed.
I will do my best to protect human intelligence.
The whole world puts pressure
for Se-dol Lee.
Before this, he played the tournament for his country, for himself.
But this time, he plays for humanity.
I just hope we win this first game.
If you lose the first match,
You really have to win three out of four.
Yes it's true.
- Which is hard work. - Yes
Where do you want to go?
- I will start in the match room. - Good.
Then, I will go here, make sure everything is fine.
- Yes, you might have to be here. - or something like that.
- I know you're nervous. - Yes, I'm nervous.
I'm nervous.
How are you? Are you not nervous?
- A little. - A little, huh?
It's good to have a little nerve.
That must be fine.
OK. OK.
Hello and welcome to the DeepMind Challenge,
Game One, Round One,
live from Four Seasons here in Seoul, Korea.
I'm Chris Garlock The American Go E-Journal.
I am here with Michael Redmond, 9-and professional.
Welcome, Michael.
Want to give greetings to everyone watching all over the world?
Well, the excitement is quite clear here at the hotel.
I have never seen the interest of reporters from all over the world.
- Camera... - Incredible media.
I'm not sure how much AlphaGo
has changed in the last five months.
OK, everyone. You are here, You will see history made.
Stay with us.
Five minutes, friend. Five minutes.
Please don't push.
I think we have to do it
Spend time together and just think about what will happen.
I am very happy to be here.
Very proud of you all and what we have done.
And, win or lose, I think it's amazing that we are here.
Isn't that weird of your father
is fighting against the engine?
I would like it if the machine
hasn't defeated humans on Go.
One more minute.
Five, four, three, two, one.
The match will be
in Chinese rules, 7.5 commi points.
Two hour, and 60 second deadlines three times.
Please select the stone.
Se-dol Lee, 9 and, what have you chosen?
Black.
Please start the game.
We have worked very hard
to ensure that this will go technically smooth.
We tested it and tested it and tested it.
And still, come when when you live,
all TV cameras broadcast everything,
and now it must be done the thing you build to do.
AlphaGo even considers it
what to do from the first step.
If you look at that time carefully,
- It's been more than 30 seconds. - Yes.
AlphaGo thinks too long in the second step.
Yes.
I'm a little nervous.
This is the first time I sit in front of a world-class Go player.
And I really feel spirit and politeness
Great Go players like Se-dol Lee.
Because I think this is the first time he has faced
strange opponent, I guess.
It's not human, has no emotions, it's cold.
But he remains calm.
And I can feel his mental strength.
Oh
AlphaGo peeking.
That can't be trusted.
This is the first time
I see AlphaGo move like this.
It feels like AlphaGo is playing like humans.
I'm Andrew Jackson.
With me here is Myung-wan Kim, a 9-and pro from the Korean Rhino Association.
We are here staying at Four Seasons Hotels
on the 21st floor.
What do we see? How is the game?
Oh, it was fighting from the start.
- From the start? - Yes, yes.
- AlphaGo plays very well. - Yes?
- It's like a top professional. - Just like top professionals?
Yes, it's very aggressive.
- It's blocked! - Is that blocking?
How did he dare to decide?
This can't be true.
Now, the battle is getting harder is very complicated.
Um, this is actually the first time I have seen AlphaGo
playing games who have this difficult fight.
This can happen
Se-dol Lee is nervous.
Because AlphaGo uses one minute to 1.5 minutes in any situation.
This action is not like humans at all.
No matter how complex you make games,
AlphaGo plays as if he knows everything is already.
I only saw it seeing on the face of his opponent.
- And that's just a kind of habit. - It's just an instinct,
as a player, to see that person in front of you.
Yes, that's something that Se-dol Lee did
when he wondered how his opponent felt.
- Right. - That's just a habit.
So, not Aja Huang will give giveaway
- Because Aja Huang isn't AlphaGo, right? - Correct. Right.
He almost moves.
Lee smiled a little.
- No. That... - I think Lee is wrong?
He will move that doesn't make sense.
- Here it is... - What did he do?
If he puts the stone there, he will lose the game today.
- He tried to place it here, - His hand...
but he moved his hand there without thinking.
- He has many things to ponder. - Well, I think...
He is tired now.
- I think... - Well...
He looks a little panicked.
This is the problem we are most afraid.
Yes.
- Self-doubt. - Self-doubt.
With humans, when you play,
You can have an exchange, with feelings.
I see you. I know that, okay, maybe you want to talk to me.
Maybe you are afraid of me.
I can feel a lot, many things.
But with AlphaGo, you can't feel anything.
So when you don't feel anything when you play,
You have more questions for yourself.
At first, you think, "Okay, my move is good.
Is that really good? Very good?
Oh, maybe that's bad. I put it here? " Increasingly.
It's hard to know where to be.
All rooms are different like interesting in different ways.
Mm-hm. Right.
It's quite fun to be here at the heart of surgery.
Yes, I feel safe here.
White is thinking of doing this big invasion here
from the thick wall.
Yes, do it.
Stone enters. He entered.
- Look at his face. Look at his face. - Yes
It's not a confident face.
He is quite horrified by it.
I don't believe what I see now.
Very...
- Se-dol, he is a little left behind. - Mm-hm.
- And he made a very aggressive move here. - Good.
And make it very complicated.
- Good. - I think Se-dol Lee,
- if he doesn't respond correctly, - Uh huh.
then he can faint.
I mean, this doesn't make sense as a Go human player.
What if he knows everything
about what will happen next?
Where are we?
Following our search depth, we are looking, 50 or 60 moving forward.
That maximum number moves forward
the AlphaGo search for from the current game position.
Usually more than 50. This is often more than 60.
In the game we have seen, often moves around 150,
AlphaGo applies to killing.
We are moving 150 now, so we are heading to that tactical point.
We are all astonished,
right in the middle of the game because AlphaGo is, uh...
It seems to do a much better job than we all think.
I think Se-dol Lee will lead the game comfortably,
but apparently he struggled right now.
But, I think, finally, he will win. I hope.
I, you know, are five to zero,
but now, I'm not sure about that.
What is this?
AlphaGo makes a mistake.
AlphaGo made a mistake here.
What a mistake.
Maybe it's the first mistake,
clear types of errors that are made white.
AlphaGo makes errors in the game from time to time.
If AlphaGo wins with a small difference in the end,
maybe it's played enough to win.
The reason I stopped talking a minute ago
is that according to my count, AlphaGo might have more points.
I didn't tell you because I can't believe it.
It seems like it's a mistake,
but because based on calculations, is actually not a mistake.
Yes yes.
So if it's really based on on calculations...
it's very scary.
That means just playing with his opponent.
Myung-wan, it looks like you have to count.
Yes right.
- What do you think? Yes. - Done. Yes.
White wins a lot at this time. That looks like that.
If it's like this, white has won a lot.
Yes.
Two three. I do not believe that.
Thirty six, thirty seven...
Seventy two.
He is lost.
Whoa, this is very surprising.
I... I expect AlphaGo to win only one match.
Gosh.
I can feel the pain. Like him...
He doesn't believe, you know. He can't accept it.
It takes a while to receive the results.
Maybe AlphaGo is very strong now,
but he doesn't want to believe he will lose.
And as a professional player Go,
we can't believe this,
because, for us, is something unimaginable.
That's not something that can happen now. Impossible.
But, the truth is...
that happens now.
I think he resigned in a very polite manner.
Se-dol Lee plays black, but he puts a white stone.
I think he resigned.
Geez.
- Look at the time. It's slow. - Yes
Wow.
You get this.
- Congratulations. - Hey
What's wrong?
I feel very good. I feel like I really believe in AlphaGo.
Of course, it's natural human want humans to win.
I mean, I think that is a natural response.
But AlphaGo is man-made,
and I think that is the final sign human intelligence and intelligence.
Everything AlphaGo does,
that happens, because humans also create data that they learn from,
creating a learning algorithm that learns from that data,
creates a search algorithm.
All of these things come from humans.
So, really, this is human effort.
In battle between humans versus machines,
the computer just came out as a winner.
Enter DeepMind the computer program to test
against one of the smartest minds in the world and win.
AlphaGo beats a professional player
who has 18 World Go Champions under his belt.
Victory is considered a breakthrough in artificial intelligence.
First of all,
I have to say that I was very surprised,
because I don't think that I will lose the game.
I think the mistake I made was originally
lasts until the end.
That's why I lost this game.
I can't predict it.
I don't think AlphaGo will play games in a perfect way.
I have won the world title and have a lot of experience,
So losing one match will not affect me in playing games in the future.
I think it's now 50/50.
I want to express it my respect to the team
to develop extraordinary programs like that
like AlphaGo.
In research,
we usually work to produce academic papers.
It was published, and maybe we can talk about it
in a conference if we are lucky.
This is not normal for research.
In fact, I never experienced it media attention close to this.
So, this is a special moment for all of us, and we only enjoy it while it lasts.
In the fight between humans and machines, who wins?
So far, this is the engine.
In Seoul, South Korea, computers with artificial intelligence
defeat global champions in the ancient Chinese Go board game.
AlphaGo Shock AI Shocks the World
Se-dol Lee loses in the first fight, but he has four more opportunities.
This is the team
who plays Go with Se-dol Lee.
We got our newspaper.
But we are not responsible. Only men in beanies.
Sorry.
AI Defeats the Human Brain
Somewhat strange is on the front cover
and all as computer scientists.
Usually, you sit there in your corner and code.
Nobody really knows about that.
Maybe you've heard the joke,
"How do you know that a computer scientist
is an extrovert and not an introvert?"
If he's an extrovert, he sees your shoes
when he talks to you, instead of yourself.
If you see Aja, he avoids all cameras like crazy.
He is like, the game is over, and he, like, comes out from behind,
and return to his room.
And I think many computer scientists will be like that.
We do more of our work than standing in the spotlight.
Hello and welcome to Game Two, Round Two,
in the Google DeepMind Challenge
setbacks between humans and machines.
Game One, the machine drops humans.
Big shocks. Main news around the world.
The reaction on the ground here from people in Korea is just stunned.
They estimate 60 million people watch matches in China alone.
Maybe raising it to to maybe 80 million people
who watched this match around the world.
That's amazing.
And if there is, today maybe is even more than a crazy house.
So, Se-dol Lee knows today.
He knows that this is fair a very important game. Right?
He must win.
Go, Se-dol Lee!
Fight!
Can you know what Lee
is thinking by looking at his face?
Does he look nervous?
Yes. Lee seems very tense.
My guess is he didn't sleep well last night.
Se-dol Lee with white,
I think maybe looking for for a little reply.
My impression is maybe he underestimated AlphaGo,
and he will change his tactics.
Se-dol Lee is playing away, slower today.
Yes.
- Which will affect us. - Yes.
He plays half the speed, actually.
It's hard to say who is ahead
or better now.
The last two steps make me doubt AlphaGoo's ability.
- But we must remain vigilant. - Yes.
This is difficult. - AlphaGo is difficult to understand.
If I see something about AlphaGo
it's not normal, maybe how to handle the game
- when thinking it up front. - Yes.
We will actually visit from one of the teams,
and we will talk about exactly that point from inside.
Thank you very much for coming, Thore.
I really appreciate that.
Can you share a little what happened on AlphaGo?
So, AlphaGo has all three major components.
There is a policy network,
who are trained in high level games to imitate the players.
And then, we have a second component. We call it net value.
And that can evaluate the board position
and say what is the probability of winning in this particular position.
And the third component is tree search,
where it will be seen different game variations
and try to find out What will happen in the future.
So if we take a position like this now,
first, network policy will scan the position
and come up with what will happen interesting places to play,
and it builds a variation tree.
And then use this value net
which tells how promising the results are this particular variation.
So, AlphaGo tries to maximize the probability of winning,
but that doesn't matter at all the margin won.
Okay, so when you see it a movement that looks slow,
that may be an indication that AlphaGo thinks it has a good chance of winning.
- Yes, that's a little giveaway. - Yes
- Little know. We are looking for. - Oh, yes.
Se-dol Lee is playing
in a completely different style from his usual style.
These historic moments and Se-dol Lee are the center of attention.
He must have felt tremendous pressure.
I hope he gets well this pressure and enjoy the match.
Ooh, looks like Lee
take a little rest.
Se-dol Lee goes smoking,
and AlphaGo just play.
It was not thought out whether the opponent would exist or not.
So, Aja saw AlphaGo play step 37,
and just put the stone on the board.
- Oh. - Oh wow.
- Oh, that's really an unthinkable step. - Yes.
Value...
That's very... It's a very surprising step.
I think it's a mistake.
When I see this step, for me, it's just a big surprise.
What?
Usually, humans will never play this one
because it's bad.
That's bad. We don't know why, it's bad.
It's a little high.
Yes?
This is the fifth row.
Usually, you don't make it shoulder blows in the fifth row.
So, coming above the fourth line zone is really unusual.
Yes, that's an interesting step.
I think we see an original step here.
That is the type of movement You play Go for.
Hey.
Interesting thing.
- This fifth line shoulder attack is good. - Yes
And I don't expect that.
I don't really know whether it's good or bad at this point.
Professional commentators almost unanimously say
it is not a human player will choose to move 37.
So, I really raved on AlphaGo
to see what AlphaGo thinks.
And AlphaGo really agrees with that assessment.
AlphaGo says there are 1-in-10,000 probabilities
that movement 37 will be played by human players.
So he knows this a very unlikely step.
This goes beyond the human guide,
and it appears with something new and creative and different.
I really pay attention to the match through this commentator.
That's how it works.
So when they are confused, I must be confused.
At the same time, I stick to the facts
that they are confused, right?
That's an interesting moment.
When other people are confused, who is not confused, right,
other than that machine?
I want to see Se-dol Lee when he sees this step.
He is back. Lee is back.
I think AlphaGo
based on probability calculations
and that is just a machine.
But when I see this step, I change my mind.
Surely, AlphaGo is creative.
This step is truly creative and beautiful.
Usually, he thinks
for about one or two minutes no more than that.
But this time, he thought for more than 12 minutes.
The more I see this step, I feel something has changed.
Maybe, for humans, we think it's bad,
but for AlphaGo, why not?
Go like geopolitics,
like something small happening here,
it can have a ripple effect,
You know, hours on the road on different parts of the board.
The game is like turning on the axis at that time.
This step is very special,
because with this step,
all stones played before
work together.
It is connected.
It looks like a network, is linked everywhere.
That's very special.
Very special.
This step makes me think
about Going in a new light.
What is the creative meaning in Go?
That is a very meaningful step.
This is a difficult game
for Se-dol Lee.
AlphaGo doesn't allow Se-dol Lee
- Do what he wants. - Correct.
Black has almost 60 points. That's a lot.
That's not a good sign.
Oh Oh
Se-dol Lee just slapped himself on the side of the head.
Oh wow.
I think black is ahead at this time.
It looks good, right? We are good... a stable road now.
I just saw Se-dol Lee...
losing so much.
Usually, we will resign it's been a long time, but he wants to try.
He continues to play.
He just doesn't want to resign.
Because then it's white... Oh, he resigned.
Seems like Se-dol Lee has just resigned.
That doesn't make sense. I don't predict that one.
- Move 37, very beautiful. - Yes.
Beautiful, huh. Beautiful.
Is he okay?
I brought his friend, because yesterday I noticed
that he really wants to analyze the game.
I don't realize how bad it is.
There is this heavy sadness
on the whole floor,
and you can feel it during the game.
I felt it during the match.
And I leave the comments room to go to the press conference,
and I was stopped by someone,
other technology reporter.
At first, everything he wants to talk about
is technology and how great this is,
but then, even he slipped in this melancholic moment
where he is also upset.
Yesterday, I was surprised, but today, I can't say anything.
"I can't say anything.
I admit that it is a very clear loss on my part.
From the beginning of the game,
there are no moments in time that I feel that I am lead the game. "
You feel happy, and you feel a little scared.
There is something, I think, is frightening to people
about self-learning machines.
For us, AlphaGo is clear only a few computer programs.
But see the comments on the internet,
I've seen commentators call AlphaGo
like "he" and "he" during the match.
Really unconscious.
Which... AlphaGo really is a very, very simple program.
This isn't close to full AI, and we've seen that happen.
So in my opinion it's very interesting.
The tendency to anthropomorphize the AI system
is one big obstacle
on the road actually try to understand
how can AI affect the world in the future.
For example, the conversation is about
what can be wrong, what are the risks.
And always, you see this Terminator picture.
Every time, there are these red sparkling eyes, right?
We are really closer to the smart washing machine
from the Terminator.
If you see AI today,
we are really very new born.
I'm very excited
and excited about the potential of AI.
But the AI is still very limited in strength.
I think those people are right to think
that there is a danger when we continue to improve this system,
that we might lose that threshold where we cross into danger.
But the good news is
that there are already people thinking about that danger.
You know, there is a lot of talk now, and we are leading the discussion about this,
there might have to be something like that,
cross-industry best practices work groups or something.
Right.
Where are the leaders of the research team in these organizations,
You know, the big ones who work on AI, IBM, Microsoft, and so on
get together and make sure that AI is used ethically and responsibly.
I think what's important is that there is a community of these people who leads the spearhead of AI,
who interact with academics,
and have thought about the long term,
and how can we make sure that innovation is responsible
as the power of these machines is even bigger.
Se-dol Lee Missing due to Resignation
Here it is, friends.
Third Day, Game Three. Se-dol Lee, Go Master.
Return to the wall. He dropped two zeros.
He must win today to keep hope alive.
Se-dol Lee has a holiday
after losing two games,
and he gathered with professionals Go
and analyze the game all night.
I heard that four pros, yes, went to visit him.
- Hm. - To entertain him and review AlphaGo...
Her console? Do you think he's upset, or...
I mean, Se-dol Lee upset. Yes.
At first, _ there was a fierce battle,
and AlphaGo play very well.
So he got the advantage very early.
From step 50, the victory level is very high.
It climbs to 100%.
Oh, that's a good step.
What is your probability value?
- Like, 91? - No.
- Looks like 70, do you think? - No.
He definitely wants to win desperately now.
CHALLENGES AI 0 VS. 2
But I feel the pressure
and psychological burden increases.
Today is the worst.
I personally believe,
when you try too hard to win, you will lose.
He tried to fight
directly in the game
but it's not his style.
When we change our style to play against an opponent,
usually, very, very bad.
So this is an easier game for AlphaGo.
- This looks good for us. - Hopefully, I think...
You know, the black group is very large, and there is no place to go,
and it will roam.
I don't know how to describe the situation.
If I am black, I will resign.
We must recognize that we are facing the strongest existence ever,
ever in the history of Go.
There is no point in playing endgame,
and you will lose, right? I see...
Even though black can stay there...
- Done. Finish. - Oh, he resigned. Good.
Wow. Wow.
You see the history made here tonight.
AlphaGo has won again. Three consecutive wins.
Has won the match.
When Se-dol Lee resigned from the game, she seemed unhappy.
Not only did he lose the tournament,
it's mainly about this game,
because he doesn't play the game.
I am very hurt about this, very hurt.
But, I can't do anything.
You know, suddenly, I feel a little ambivalent about that,
considering I am a game player,
and, you know, Go is the top of board games.
But I really like that statement
from one of the top Chinese professionals. He said, you know,
"If AlphaGo wins, maybe we will start to see this game."
I can't celebrate it.
That's fantastic we won,
but there is a big part of me
who sees this man trying very hard
and very disappointed.
I look on the Internet, many people talk about Se-dol Lee.
Maybe he doesn't play the best.
You know, we are Go players.
Okay, sometimes in China, in Korea, in Japan we see Go like art.
We are artists, you know.
- We play the best for Go. - Correct. Right.
- So, please be gentle with Se-dol Lee. - Correct.
He's a very, very good player. He's a great player.
I am in the room. I saw Se-dol Lee. He wants to win.
He tried everything.
It's just that we can't. It's just... So...
I think I have to express it I apologize first.
If I can play better or smarter,
the results may be different.
I think I disappointed you too much this time.
I want to apologize for being powerless.
I have never felt...
a lot of this pressure,
as heavy as this.
I think I'm too weak to overcome it.
I don't believe this happened.
Regardless of your opponent's level,
to be defeated not with three zeros, but five zeros?
Lose to AlphaGo with five zeros
will really hurt my pride.
I also feel very bad for the people who have supported me.
Se-dol Lee, 9 and,
have the strongest heart of anyone I know.
He fights alone.
There is no opponent in physical form.
I really feel it.
We still have Games Four and Five,
and if Se-dol Lee, 9 and, play like themselves,
I believe we can beat the machine.
You can see him more relaxed
after he lost three games in a row.
It can be said, the stakes are still high.
You know, in the end, this is not about self-esteem.
He doesn't feel confident,
but he feels light.
Can Se-dol Lee find AlphaGo weaknesses?
Are there, really, weaknesses?
I think I will just pull the plug.
- Will you just pull the plug? - Yes
Everyone still cheers for Se-dol Lee.
And...
Yes, that doesn't work well.
Se-dol Lee has chosen
to play conservatively.
But I am not sure that it will benefit him.
I agree.
Yes, it's not like that a very good strategy for him.
It feels pretty good
for black at this point.
- It feels pretty good for black, huh. - Very good for black. Yes.
I want Se-dol Lee to play the game.
Because, at that time, he tried various things
to play with AlphaGo, to understand AlphaGo,
but he never tried to play alone.
I have said this many times,
AlphaGo looks like a real mirror.
When you play with AlphaGo,
You feel very strange.
It feels like you are naked all the time.
The first time you see this, you don't want to see because...
"Oh, is this me? The real me?"
And the more you see, you learn to accept it.
"Oh, here I am.
So, how... Now, what should I do?"
This develops into a very, very dangerous battle.
This is really the type of Se-dol Lee game. He likes fighting like this.
White must find something in the black area.
I think he already plans to try something.
So you believe in the ability of Se-dol Lee
to live in a very small area, right?
Yes. Yes.
There is a little potential there.
And I think, maybe he will try do something.
- Magic Se-dol Lee! - Good.
Oh, what will happen magic moves?
Se-dol Lee runs out of time,
but he must use all the time.
Yes, he just caught fire, like, seven or eight minutes,
only in this step.
I don't see anything.
We can't find anything.
Show us something.
I don't see the possibility of moving.
Is that Se-dol Lee here?
Yes, he really concentrates.
He really is. Look at that.
Se-dol Lee is very patient.
He waits. He is waiting for the moment.
I feel, sometimes, he is like a wolf,
waiting in the forest, in winter.
He is cold. He is very, very cold.
But he needs patience.
But, when the time comes,
he comes out to attack.
This is part of the game.
Oh
Look at the movement. That's an interesting step.
- Basically, I believe this time... - He found slices.
Whoa.
This will change the equation
because now black can't escape.
That would be really cool if it worked.
Oh!
AlphaGo just played something that might be unusual.
You know, I'm not really sure what AlphaGo is trying to do here.
What is that about?
I don't really understand it.
Well, alright.
That is a sharp decline in the level of victory.
That is the sharpest decline in the level of victory we have seen.
He dropped eight percent.
- Wow. - Wow.
This could be actually can't find a way.
- I think this... - Uh huh.
That already looks far enough ahead to see that it doesn't work,
and now it might be skewed. I do not know.
That he came.
- That's one time. - He came.
It looks like it's falling off a cliff.
- Yes, it has made a mistake. - Yes
Is there anything strange happening in...
- No, everything looks normal. - Yes
Well, we certainly can say there are weaknesses.
Well, we definitely say there is an error.
I feel this mixture this feeling of sinking in my stomach,
where I wonder if AlphaGo is delusional in this situation.
Where can I see that it starts to play weird,
and at the same time, is relieved, that Se-dol Lee,
that he really has a chance now.
Just like trying not to look horrified.
I know after moving 78, after, like, 10 or 20 movements,
I see AlphaGo's strange movement.
And, I know AlphaGo somehow has gone crazy, but I don't realize why.
What?
We searched 95 ahead at that time?
Which part makes a mistake?
- Yes. - I think something is wrong.
That is the longest one that is searched the whole game, right?
Yes.
I think it's like that looking so deep,
- It has disappeared itself. - Already exhausted.
I get the impression
that AlphaGo has some kind, go with a touch.
- What is being done now? - Well, maybe it has a master plan.
No, that's never thought of, isn't it?
So he knows it has made a mistake, and starts evaluating it in another way.
Look, look, Lee is confused. He is like, "What is he doing?"
It's not "I'm afraid" confused, it is "What is he doing?"
What is happening?
You know, you ask if it's a bug.
I have said before that if...
- Yes right. That's what I thought. - If DeepMind already knows
how to write code that has no bugs,
that is news that is bigger than AlphaGo.
- Are you kidding me? - Hm?
This... Literally, this is the next step we will play,
I think they will laugh. I think Lee will laugh.
Oh! Oh!
What is this?
- Oh, that's ridiculous! - What is going on?
What is he thinking about?
I really don't know what AlphaGo is trying to do here.
That's an understatement this year.
Is this mouse misclick
- From Aja Huang? - No, that's the step.
Aja Huang made no mistake.
Se-dol Lee is very confused.
This is not a human movement.
This step also cannot be explained.
I mean, that, you can clearly call that mistake.
Yes of course.
But this is the first time in four matches
- That we have seen such a movement. - Correct.
Oh, the value drops even more.
That's weird.
They are like 45%.
White.
- White. - I think white wins.
Come on, Se-dol Lee.
- This can't be trusted. - Yes alright!
I am very sure that this black region will only be consolidated by black,
and there is nothing there.
And somehow, he just deleted everything. Like, it's gone.
So, he has discovered his weaknesses.
That economical step might surprise him.
- Block it, huh. - Yes
Looks like AlphaGo has a good game, then...
this whole sequence in the middle sort of change that.
He draws miracles.
He managed to make it complicated
that artificial intelligence does not evaluate it correctly.
I think it looks like Aja Huang maybe, sit there,
also knows that the game is over.
I can't... I can't stop smiling.
Does he smile?
No, I haven't seen it smile.
- I think he is still checking. - He is very serious.
He's very serious.
- He wants to be careful. - Yes
He is very worried.
He really does the best.
I think he feels like he has a sense...
uh, responsibility, or burden.
I think it's almost over.
So, what percentage?
This shows as 18.2%.
The next step must be to resign.
Here it is. AlphaGo resigns.
- Looks like AlphaGo has resigned. - Wow.
The most amazing game.
I will almost cry, are, uh, Game Four...
um, where did he come back and win, right?
That resigns!
I'm very happy!
I hear people shouting joyfully
when it's clear that AlphaGo has lost the game.
I think it's clear why.
People feel helpless and scared.
It looks like we humans are very weak and fragile.
And this victory means...
we can still hold our property.
Over time, maybe it will happen very difficult to defeat AI.
But just winning this time, feels like it's enough.
One time is enough.
I hear from many people who say
they ran out on the road.
They are very happy.
They sing, they celebrate.
Especially after zero-three down,
at that time, it seems there is no hope, that the end of the world is coming,
but we see light.
Usually...
I am happy when I win, not when my partner wins.
But, this time, it feels like my victory.
I don't want to move that AlphaGo can predict.
This section...
That doesn't anticipate this wedge step.
I won one match at least.
Good work today.
But I don't expect it to be like this.
I don't believe I won one match.
That can't be trusted.
Thank you very much.
I have never congratulated to win one match.
After losing three games in a row, I can't be happier.
This victory is very valuable that I will not exchange it
for anything in the world.
My question is about moving number 78.
Chinese top Go Player Gu Li said it was a god game.
What do you think when you make the game? Thank you.
At that time in the game,
moving 78 is the only step I can see.
There are no other placements.
That's the only choice for me, so I put it there.
I am very flattered by all that praise I get for it.
That leaves me a little amazed at the power of the human brain,
In particular, Lee's extraordinary abilities caused AlphaGo problems and find something seems from nothing.
So, we really want it to understand what has happened.
So, is that really Lee's move?
The key is central.
After the center comes out, there is no chance.
Come to come.
We won before this.
But if AlphaGo thinks it's won
and that can't change that victory, that means it doesn't really win.
Otherwise, it will happen the right response.
Will we play it?
Steel nerves there.
What probability does it give as white?
It's 0.007%...
Is it in the position he plays?
- That's when he played it. - I see.
- We think this is a 1 in 10,000 movement. - I know it's like...
- Yes - Values that we don't know.
- So the god moves literally is the step of the god, - Yes
because we believe which is only one in 10,000 human beings
- will find that step. - Right.
That doesn't come to mind as...
in the top five steps that you will consider.
Except you Se-dol Lee, he said that was the only step.
He thinks it's the only step. Yes, amazing, right?
Welcome back to Four Seasons.
World Champion Se-dol Lee
go looking for AlphaGo weaknesses in Game Four, and he finds it.
Today, the last round, he wants to see if he can repeat it.
We will see what happens.
Place is a crazy house downstairs.
Maybe as many, if not more, reporters here today
than there is for Game One.
We are very excited for the fifth match,
to see what will happen.
Will this be three or two things or will it be a four one thing?
And, you know, there are different messages with both.
For me, I don't think AlphaGo will make a mistake again.
But who knows.
Maybe it will happen again.
And Se-dol Lee is now more confident about this.
It seems, maybe, Se-dol Lee has found the key in solving AlphaGo.
Oh, this works!
Is it fair to say that AlphaGo made a mistake?
We might have another victory today.
You are not crazy about time at this step.
- Yes - And now, you don't approve of this.
Yes, I kind of thought it might be AlphaGo
hasn't recovered from Game Four yet. Yes.
Still deceived?
We don't know.
Oh no, I hope he doesn't...
No, no, he must play...
He plays several movements.
That is a bad step.
I feel something.
Oh, maybe the weaknesses have returned.
Do we see other short circuits?
Or something, what...
I think that can happen sort of misreading.
And we are...
You are comfortable enough by saying that...
That looks good for Se-dol Lee?
This looks good for Se-dol Lee.
What does he play there for?
There is no reason for white to play the movement.
This is a bad step.
And in some cases, it will lose points too.
That's exactly the same.
It's 91% certain now.
Someone told me maybe that...
Yes, because it's wrong again.
The whole game, we think that AlphaGo
wrong about board positions.
We are very worried, "Oh, this will play rubbish.
It will be like losing in a very embarrassing way."
And this continues for the whole game.
This is a bit strange.
- When does it play it? - Just.
- So I don't know. I mean, it's not... - Well, we don't know.
But we're not good enough Go players to know that, right?
Yes.
Apparently, none of us know. Good enough
to accurately assess what AlphaGo is doing.
White people win now.
This one looks like white wins.
Ah!
We all say some AlphaGo movements are very strange and strange,
and maybe an error.
But after the match is over,
we must doubt ourselves, our judgment.
AlphaGo makes another type of entry that doesn't make sense.
I'm not so sure about what it is.
This is 10 or maybe playing 11-and it seems.
It seems strange, and we don't understand it.
I think it's very important to learn more
about AlphaGo error-like movements.
Then maybe we can adjust our knowledge about Go.
For me, the most amazing thing is to get out of my understanding of Go
as a result of watching AlphaGo
is the famous "slack movement".
There is something strange
- about how to play it, - Yes
because it plays some movements that are not really needed.
Right.
"Slack movement" is a step it looks lazy.
You can see this other better movement, and AlphaGo reject it.
But, what I thought AlphaGo taught us
is we use the score as a proxy for the possibility of winning.
So the greater the margin of my area,
the more confident I am if I will win.
And AlphaGo said, "No, no, no.
It shouldn't matter how much you win,
You only need to win by one point. need it? "
The lessons AlphaGo teaches us
will affect how Go is played for the next thousand years.
With my calculations, white wins this game.
How... How much? Do we speak two points?
- One half. - One and a half points.
One and a half. Maybe half, one half.
Of course, Go is just a game, but we can learn important lessons
from a computer that is so successful at Go.
The machine will have the ability not only to crunch
through a large amount of data, but also analyze it intelligently.
Just as in the case of the Go game,
machines are made to move even surprise experts.
And, finally, those machines will get our confidence
because we will see it often, very often
they make better guesses than we can make as humans.
AlphaGo has a strong foundation.
What surprised me the most was...
the AlphaGo shows us
that moves people might think creative, truly conventional.
I think this will bring a new paradigm for Go.
AlphaGo wins this area too? Oh, my God.
- That makes me very uncomfortable. - Oh!
Unfortunately, for Se-dol Lee,
I think it might be white a little profit here.
White lights light up in several places, but if we count them like that, that's 1.5.
They keep saying one and a half points.
How do you know Korean space have called it?
Someone, um...
- Who told us Korea was calling it? - I do not know.
Koreans tell you?
Koreans call it.
Korean space has called him for AlphaGo.
We just want to know if a Korean person there can find out.
Korean space thinks AlphaGo wins.
"Win," okay, no... then don't win.
- That's what he said. - "Win."
He said they called him there.
AlphaGo says it will resign.
- What... - No, I'm just kidding.
Jesus, I almost had a heart attack.
That's ridiculous.
That's very good.
- Good game. - Yes
- Good game. - Not too.
I can't do it too long. I can't think like that.
David, you have waited two years to do that.
He needs to do that.
We don't know the score. We don't know what happened, right?
Two and a half points.
Lee is two and a half points behind, the least.
Farewell in the middle,
very difficult to... Very difficult to...
Lee touches the bowl.
It looks like he is considering resigning.
Yes. I thought he was thinking of resigning.
- Did he resign? - He resigned.
Hm? What does he have?
I think he resigned.
- He resigns? - I think he resigned. Look.
- He moved everything there. - What?
He plays white.
It looks relaxed.
- Yes, he has resigned. - He has resigned.
Yes, he gave up.
- Good. There he is. He has given up. - Yes
- Yes! - Yes!
I mean, I think it's really is a once in a lifetime thing.
I will say that is the most amazing thing, You know, I have experience.
You know, for us, that is the culmination of a 20-year dream.
This starts as a pure research effort.
We just want to understand. Can the neural network play the Go game?
And from there, it continues to a level that I never expected.
And, I'm extraordinarily proud of the team.
When I start doing artificial intelligence,
that was four or five years ago,
and I am very interested in that,
but, like, many people will break my spirit,
and they will say, okay, there is no future.
So, really seeing that in five years
we are at this stage now,
it's amazing by itself.
Everyone says, "Nine and."
- Nine and! - Nine and!
Kimchi!
There are lots of possible application domains
where creativity, in different dimensions for what humans can do,
can be very valuable to us.
And I like to have more those moments
where we look back and say, "Yes, it's like moving 37.
Something beautiful happens there."
At least in the broadest sense, move 37 children step 78,
gave birth to a new attitude on Se-dol Lee, new ways to see the game.
He was repaired through this machine.
Its nature is expanded after playing this lifeless creation.
And the hope is, that machine,
and specifically, the technology behind it,
can have the same effect as all of us.
I remember hearing talks by Kasparov, who said that, uh,
good humans plus machines are the best combination.
This is a unique experience.
No one can have this experience
playing with AlphaGo, five games like this.
So, I hope Se-dol Lee can find it something in these five matches.
Maybe some changes in the game.
I see today how he continues to fight.
SE-DOL LEE 2016-03-15
He is very good,
a master, a very great master.
I have grown
through this experience.
I will make something from it with the lessons I learned.
I feel grateful and feel like that
I have found the reason I play Go.
I realize it's really a good choice, learn to play Go.
This is an unforgettable experience.
This event is complete,
but for the story, maybe, this is just the beginning.
We don't know.
Only when I play with AlphaGo, he shows me something.
I feel something beautiful. There he is.
I see the world differently, before everything starts.
What exactly is behind the Go game?
What is that, it can change my game.
Maybe it can only show people something we have never found.
Maybe, there is beauty. Delivered by: www.subtitlecinema.com