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Garry Kasparov: Chess, Deep Blue, AI, and Putin

第2019-10-27期2019-10-27English

嘉宾:Garry Kasparov

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§01Transcript · 00:00–09:06

00:00The following is a conversation with Gary Kasparov.

00:03He's considered by many to be the greatest chess player

00:06of all time.

00:07From 1986 until his retirement in 2005,

00:11he dominated the chess world,

00:13ranking world number one for most of those 19 years.

00:17While he has many historical matches

00:18against human chess players,

00:20in the long arc of history he may be remembered

00:24for his match against the machine, IBM's Deep Blue.

00:28His initial victories and eventual loss to Deep Blue

00:31captivated the imagination of the world,

00:34of what role artificial intelligence systems may play

00:37in our civilization's future.

00:39That excitement inspired an entire generation

00:42of AI researchers, including myself,

00:45to get into the field.

00:47Gary is also a pro democracy political thinker and leader,

00:51a fearless human rights activist,

00:53and author of several books,

00:54including How Life Imitates Chess,

00:57which is a book on strategy and decision making,

01:00Winter is Coming,

01:01which is a book articulating his opposition

01:03to the Putin regime,

01:05and Deep Thinking,

01:06which is a book on the role

01:07of both artificial intelligence and human intelligence

01:11in defining our future.

01:13This is the Artificial Intelligence Podcast.

01:16If you enjoy it, subscribe on YouTube,

01:19give it five stars on iTunes,

01:21support it on Patreon,

01:22or simply connect with me on Twitter

01:24at Lex Friedman, spelled F R I D M A N.

01:28And now, here's my conversation with Gary Kasparov.

01:33As perhaps the greatest chess player of all time,

01:35when you look introspectively at your psychology

01:39throughout your career,

01:40what was the bigger motivator,

01:42the love of winning or the hatred of losing?

01:46Tough question.

01:49Have to confess I never heard it before,

01:51which is again, congratulations.

01:53It's quite an accomplishment.

01:58Losing was always painful.

02:01For me, it was almost like a physical pain

02:04because I knew that if I lost the game,

02:09it's just because I made a mistake.

02:11So I always believed that the result of the game

02:18had to be decided by the quality of my play.

02:21Okay, you may say it sounds arrogant,

02:24but it helped me to move forward

02:26because I always knew that there was room for improvement.

02:30So it's the...

02:31Was there the fear of the mistake?

02:32Actually, fear of mistake guarantees mistakes.

02:36And the difference between top players at the very top

02:40is that it's the ability to make a decision

02:44without predictable consequences.

02:46You don't know what's happening.

02:47It's just intuitively.

02:48I can go this way or that way.

02:50And there are always hesitations.

02:52People are like, you are just at the crossroad.

02:55You can go right, you can go left, you can go straight.

02:57You can turn and go back.

02:58And the consequences are just very uncertain.

03:03Yes, you have certain ideas what happens on the right

03:07or on the left or on just if you go straight,

03:09but it's not enough to make well calculated choice.

03:13And when you play chess at the very top,

03:16it's about your inner strength.

03:18So I can make this decision.

03:21I will stand firm and I'm not going to waste my time

03:24because I have full confidence that I will go through.

03:29Going back to your original question is,

03:32I would say neither.

03:34It's just, it's love for winning, hate for losing.

03:39There were important elements, psychological elements,

03:41but the key element, I would say the driving force

03:46was always my passion for making a difference.

03:53It's just, I can move forward and I can always,

03:57I can always enjoy not just playing,

03:59but creating something new.

04:01Creating something new.

04:03How do you think about that?

04:04It's just finding new ideas in the openings,

04:07some original plan in the middle game.

04:09It's actually, that helped me to make the transition

04:13from the game of chess where I was on the very top

04:15to another life where I knew I would not be number one.

04:20I would not be necessarily on the top,

04:22but I could still be very active and productive

04:26by my ability to make a difference,

04:30by influencing people, say joining the democratic movement

04:34in Russia or talking to people

04:36about human machine relations.

04:38There's so many things where I knew my influence

04:42may not be as decisive as in chess,

04:45but still strong enough to help people

04:49to make their choices.

04:51So you can still create something new

04:53that makes a difference in the world outside of chess.

04:57But wait, you've kind of painted a beautiful picture

05:01of your motivations in chess to create something new,

05:04to look for those moments of some brilliant new ideas.

05:09But were you haunted by something?

05:11See, you make it seem like to be at the level you're at,

05:15you can get away without having demons,

05:18without having fears,

05:21without being driven by some of the darker forces.

05:26I mean, you sound almost religious.

05:29The darker forces, spiritual demons.

05:32I mean, do you have a call for a priest?

05:34That's what I'm dressing as.

05:37Now, just let's go back to these crucial chess moments

05:42where I had to make big decisions.

05:44As I said, it was all about my belief from very early days

05:50that I can make all the difference by playing well

05:52or by making mistakes.

05:53So yes, I always had an opponent

05:57across the chess board, opposite me.

06:00But no matter how strong the opponent was,

06:02whether it just was ordinary player

06:04or another world champion like Anatoly Karpov,

06:09having all respect for my opponent,

06:10I still believe that it's up to me to make the difference.

06:14And I knew I was not invincible.

06:21I made mistakes.

06:22I made some blunders.

06:23And with age, I made more blunders.

06:28So I knew it.

06:30But it's still, it's very much for me

06:34to be decisive factor in the game.

06:37I mean, even now, look, I just,

06:38my latest chess experience was horrible.

06:40I mean, I played Caruana, Fabi Caruana,

06:44this number two, number two,

06:46number three player in the world these days.

06:47We played this 960 with the Fischer,

06:50so called Fischer random chess, reshuffling pieces.

06:52Yeah, I lost very badly, but it's because I made mistakes.

06:56I mean, I had so many winning positions.

06:57I mean, 15 years ago, I would have crushed him.

07:00So, and it's, you know, while I lost,

07:03I was not so much upset.

07:05I mean, I know, as I said in the interview,

07:08I can fight any opponent, but not my biological clock.

07:10So it's fighting time is always a losing proposition.

07:16But even today at age 56, you know,

07:18I knew that, you know, I could play great game.

07:22I couldn't finish it because I didn't have enough energy

07:24or just, you know,

07:25I couldn't have the same level of concentration.

07:27But, you know, in number of games

07:29where I completely outplayed one of the top players

07:31in the world, I mean, gave me a certain amount of pleasure.

07:35That is, even today, I haven't lost my touch.

07:38Not the same, you know.

07:40Okay, the jaws are not as strong

07:43and the teeth are not as sharp,

07:44but I could get to him just, you know,

07:47almost, you know, on the ropes.

07:49Still got it.

07:50Still got it.

07:50And it's, you know, and it's,

07:52I think it's, my wife said it well.

07:54I mean, she said, look, Gary,

07:55it's somehow, it's not just fighting your biological clock.

07:59It's just, you know, maybe it's a signal

08:01because, you know, the goddess of chess,

08:03since you spoke great about demons.

08:05The goddess of chess, Keisha,

08:07maybe she didn't want you to win

08:09because, you know, if you could beat

08:12number two, number three player in the world,

08:14I mean, that's one of the top players

08:16who just recently played World Championship match.

08:19If you could beat him,

08:20that would be really bad for the game of chess.

08:23But just, what people will say,

08:24oh, look, the game of chess, you know,

08:26it's not making any progress.

08:28The game is just, you know,

08:29it's totally devalued because, look,

08:32the guy coming out of retirement,

08:34you know, just, you know, winning games,

08:35maybe that was good for chess, not good for you.

08:37But it's, look, I've been following your logic.

08:41We should always look for, you know, demons,

08:43you know, superior forces and other things

08:46that could, you know, if not dominate our lives,

08:48but somehow, you know, play a significant role

08:52in the outcome.

08:55Yeah, so the goddess of chess had to send a message.

08:58Yeah, that's okay.

08:59So Gary, you should do something else.

09:02Time.

09:04Now for a question that you have heard before,

§02Transcript · 09:06–18:54

09:06but give me a chance.

09:09You've dominated the chess world for 20 years,

09:12even still got it.

09:14Is there a moment, you said,

09:15you always look to create something new.

09:17Is there games or moments

09:21where you're especially proud of

09:23in terms of your brilliance of a new creative move?

09:27You've talked about Mikhail Tal

09:28as somebody who was aggressive and creative chess player

09:31in your own game.

09:33Look, you mentioned Mikhail Tal.

09:35It's very aggressive, very sharp player,

09:39famous for his combinations and sacrifices,

09:42even called magician from Riga,

09:44so for his very unique style.

09:47But any world champion, you know,

09:50it's, yeah, was a creator.

09:53Some of them were so flamboyant and flash like Tal.

09:57Some of them were no just, you know,

09:59less discerned at the chess board like Tigran Petrosian,

10:04but every world champion, every top player

10:07brought something into the game of chess.

10:09And each contribution was priceless

10:11because it's not just about sacrifices.

10:13Of course, amateurs, they enjoy, you know,

10:15the brilliant games where pieces being sacrificed.

10:18It's all just, you know, it's all piece of hanging.

10:21And it's all of a sudden, you know,

10:24being material down, a rook down,

10:26or just, you know, queen down.

10:28The weaker side delivers the final blow

10:33on just, you know, mating opponent's king.

10:36But there are other kinds of beauty.

10:38I mean, it's a slow positional maneuvering,

10:41you know, looking for weaknesses

10:42and just, and gradually, you know,

10:44strangling your opponent

10:47and eventually delivering sort of a positional masterpiece.

10:51So I think I made more difference in the game of chess

10:55than I could have imagined when I started playing.

10:58And the reason I thought it was time for me to leave

11:01was just, I mean, I knew that I was not,

11:05I was not, no longer the position to

11:10bring the same kind of contribution,

11:14the same kind of new knowledge into the game.

11:18So, and going back,

11:21I could immediately look at my games

11:24against Anatoly Karpov.

11:25It's not just I won the match in 1985

11:27and became a world champion at age 22,

11:31but there were at least two games in that match.

11:34Of course, the last one, game 24,

11:36that was decisive game of the match,

11:38I won and became world champion.

11:40But also the way I won, it was a very sharp game

11:45and I found a unique maneuver that was absolutely new

11:48and it became some sort of just a typical now,

11:52though just when the move was made,

11:55was made on the board and put on display,

11:58a lot of people thought it was ugly.

12:01And another game, game 16 in the match

12:03where I just also managed to outplay Karpov completely

12:06with black pieces, just paralyzing his entire army

12:10in its own camp.

12:13Technically or psychologically,

12:14or was that a mix of both in game 16?

12:17Yeah, I think it was a big blow to Karpov.

12:19I think it was a big psychological victory

12:21for a number of reasons.

12:22One, the score was equal at the time

12:25and the world champion by the rules

12:28could retain his title in case of a tie.

12:30So we still have, before game 16, we have nine games to go.

12:35And also it was some sort of a bluff

12:37because neither me nor Karpov saw the refutation

12:41of this opening idea.

12:42And I think it says for Karpov, it was double blow

12:46because not that he lost the game, I should triple blow.

12:48He lost the game, it was a brilliant game

12:50and I played impeccably after just this opening bluff.

12:55And then they discovered that it was a bluff.

12:57So it's the, again, I didn't know, I was not bluffing.

13:00So that's why it happens very often.

13:03Some ideas could be refuted.

13:04And it's just, what I found out,

13:06and this is again, going back to your spiritual theme

13:09is that you could spend a lot of time working.

13:13And when I say you could, it's in the 80s, in the 90s.

13:16It doesn't happen these days because everybody

13:17has a computer.

13:18You could immediately see if it works or it doesn't work.

13:21Machine shows your refutation in a split of a second.

13:24But many of the analysis in the 80s or in the 90s,

13:28they were not perfect simply because we're humans

13:31and just you analyze the game,

13:34you look for some fresh ideas.

13:36And then just it happens that there was something

13:39that you missed because the level of the concentration

13:42at the chess board is different from when you analyze

13:45the game, just moving the pieces around.

13:47And, but somehow if you spend a lot of time

13:52at the chess board preparing, so in your studies

13:55with your coaches, hours and hours and hours,

13:59and nothing of what you found could,

14:03had materialized on the chess board.

14:08Somehow these hours help, I don't know why,

14:12always helped you.

14:14It's as if the amount of work you did could be transformed

14:19into some sort of spiritual energy that helped you

14:23to come up with other great ideas during the board.

14:27Again, even if there was no direct connection

14:30between your preparation and your victory in the game,

14:33there was always some sort of invisible connection

14:37between the amount of work you did,

14:39your dedication to actually, and your passion

14:42to discover new ideas, and your ability during the game

14:47at the chess board, when the clock was ticking,

14:49we still had ticking clock, not digital clock at the time.

14:52So to come up with some brilliance.

14:55And I also can mention many games from the 90s.

14:59So it's the, obviously all amateurs would pick up my game

15:04against Veselin Topalov in 1999 and V. Konzai.

15:07Again, because it was a brilliant game,

15:09the Black King traveled from its own camp

15:13to into White's camp across the entire board.

15:17It doesn't happen often, trust me, as you know,

15:20in the games with professional players,

15:23top professional players.

15:24So that's why visually it was one

15:26of the most impressive victories.

15:28But I could bring to your attention many other games

15:33that were not so impressive for amateurs,

15:37not so beautiful, just because it's sacrifice

15:43is always beautiful, you sacrifice pieces.

15:44And then eventually you have very few resources left

15:48and you use them just to crush your opponent basically.

15:54You have to make the king because you have almost

15:58nothing left at your disposal.

16:01But up to the very end, again, less and less,

16:06but still up to the very end, I always had games

16:08with some sort of interesting ideas

16:11and games that gave me great satisfaction.

16:14But I think it's what happened from 2005 up to these days

16:20was also a very big accomplishment

16:24since I had to find myself to sort of relocate myself.

16:28Yeah, rechannel the creative energies.

16:30Exactly, and to find something where I feel comfortable,

16:35even confident that my participation

16:39still makes the difference.

16:41Beautifully put.

16:42So let me ask perhaps a silly question,

16:44but sticking on chest for just a little longer.

16:48Where do you put Magnus Carlsen, the current world champion

16:51in the list of all time greats?

16:54In terms of style, moments of brilliance, consistency.

16:57It's a tricky question.

16:59The moment you start ranking world champions.

17:02Yeah, you lose something?

17:04I think it's not fair because any new generation

17:12knows much more about the game than the previous one.

17:15So when people say, oh, Gary was the greatest,

17:17Fischer was the greatest, Magnus was the greatest,

17:19it disregard the fact that the great players of the past,

17:24whether it was Alaskia, Capoplank, Alokian,

17:26I mean, they knew so little about chess

17:28by today's standards.

17:29I mean, today, just any kid that spent a few years

17:32with his or her chess computer knows much more

17:37about the game simply just because you have access

17:40to this information.

17:40And it has been discovered generation after generation.

17:43We added more and more knowledge to the game of chess.

17:46It's about the gap between the world champion

17:50and the rest of the field.

17:51So it's the, now, if you look at the gap,

17:55then probably Fischer could be on top,

17:58but very short period of time.

17:59Then you should also add a time factor.

18:01I was on top, not as big as Fischer, but much longer.

18:05So, and also, unlike Fischer,

18:08I succeeded in beating next generation.

18:11Here's the question.

18:13Let's see if you still got the fire,

18:14speaking of the next generation,

18:15because you did succeed beating the next generation.

18:19It's close.

18:19Okay, Anand, Short, Anand, the sheer of,

18:22Kramnik is already 12 years younger.

18:24So that's the next.

18:25But still yet, I competed with them

18:28and I just, I beat most of them.

18:30And I was still dominant when I left at age of 41.

18:34So back to Magnus.

18:36Magnus, I mean, consistency is phenomenal.

18:40The reason Magnus is on top,

18:42and it seems unbeatable today,

18:46Magnus is a lethal combination of Fischer and Karpov,

18:50which is very, it's very unusual

18:52because Fischer's style was very dynamic,

§03Transcript · 18:54–27:17

18:54just fighting to the last point,

18:56just using every resource available.

18:59Karpov was very different.

19:01It's just an unparalleled ability

19:04to use every piece with a maximum effect.

19:07Just its minimal resources always produce maximum effect.

19:12So now imagine that you merge these two styles.

19:15So it's like, you know,

19:17it's squeezing every stone for a drop of water,

19:21but doing it, you know, just, you know,

19:22for 50, 60, 70, 80 moves.

19:25I mean, Magnus could go on as long as Fischer

19:27with all his passion and energy.

19:28And at the same time being as meticulous

19:31and deadly as Karpov by just, you know,

19:35using every little advantage.

19:36So, and he has good, you know, very good health.

19:40It's important.

19:41I mean, physical conditions are, by the way,

19:42very important.

19:43So a lot of people don't recognize it.

19:44Their latest study shows that chess players

19:46burn thousands of calories during the game.

19:50So that puts him on the top of this field

19:54of the world champions.

19:56But again, it's the discussion that is,

19:59I saw recently on the internet,

20:00whether Garry Kasparov of his peak,

20:03let's say late eighties, could beat Magnus Carlsen today.

20:06I mean, it's certainly irrelevant

20:07because Garry Kasparov in 1989, okay,

20:10has played great chess,

20:12but still I knew very little about chess

20:15compared to Magnus Carlsen in 2019,

20:17who by the way, learned from me as well.

20:18So that's why, yeah.

20:20I'm extremely cautious in making any judgment

20:24that involves, you know, time gaps.

20:26You ask, you know, soccer fans.

20:28So who is your favorite?

20:30Pele, Maradona, or Messi?

20:31Yeah.

20:32Yeah, who's your favorite?

20:33Messi.

20:34Messi.

20:35Yeah, why?

20:36Because?

20:37Maybe Maradona, maybe.

20:38Not because you're younger, but that's simple.

20:40Your instinctive answer is correct

20:41because you saw, you didn't see Maradona in action.

20:44I saw all of them in action.

20:45So that's why, but since, you know,

20:48when I was, you know, just following it, you know,

20:50just Pele and Maradona, they were just, you know,

20:52they were big stars and it's, Messi's already just,

20:55I was gradually losing interest in just other things.

20:58So I remember Pele in 1970, the final match Brazil Italy.

21:02So that's the first World Cup soccer I watched.

21:05So that's the, and actually my answer when I just,

21:09when I just, you know,

21:10because I was asked this question as well.

21:12So I say that it's just,

21:13while it's impossible to make a choice,

21:15I would still probably go with Maradona for simple reason.

21:18The Brazilian team in 1970 could have won without Pele.

21:21It was absolutely great.

21:23Still could have won, maybe, but it is,

21:26Argentinian team in 1986 without Maradona

21:28would not be in the final.

21:29So this is, and Messi, he still hasn't won a title.

21:33You could argue for that for an hour,

21:35but you could say, if you ask Maradona,

21:38if you look in his eyes, especially,

21:40let's say Gary Kasparov in 1989,

21:43he would have said,

21:45I was sure as hell would beat Magnus Carlsen.

21:48Just simply because. The confidence, the fire.

21:50Simply because, again, they saw me in action.

21:54So this, again, it's the age factor that's important.

21:56Definitely with the passion and energy

21:58and being equipped with all modern ideas.

22:01But again, then you make, you know,

22:04a very just important assumption

22:05that you could empower Gary Kasparov in 1989

22:08with all ideas that have been accumulated over 30 years.

22:11That would not be Gary Kasparov.

22:12That would be someone else.

22:14Because again, I belong to 1989.

22:16I was way ahead of the field.

22:18And I beat Karpov several times

22:21in the World Championship matches.

22:23And I crossed 2800, which, by the way,

22:26if you look at the, in the rating,

22:28which is just, even today,

22:31so this is the rating that I retire.

22:33So it's still, you know, it's just, it's a top two, three.

22:37So that's Caruana and Ding.

22:38It's about the same rating now.

22:40And I crossed 2800 in 1990.

22:43Well, just you look at the inflation.

22:45When I crossed 2800 in 1990,

22:47there was only one player in 2700 category,

22:49and not only Karpov.

22:50Now we had more than 50.

22:52So just, when you see this, so if you add inflation,

22:55so I think my 2851, it could probably,

22:58could be more valuable as Magnus 2882,

23:02which was his highest rating.

23:04But anyway, again, too many hypotheticals.

23:07You're lost to IBM Deep Blue in 1997.

23:10In my eyes, that is one of the most seminal moments

23:13in the history.

23:15Again, I apologize for being romanticizing the notion,

23:18but in the history of our civilization,

23:20because humans, as the civilizations,

23:25for centuries saw chess as, you know,

23:27the peak of what man can accomplish

23:29of intellectual mastery, right?

23:31And that moment when a machine could beat a human being

23:36was inspiring to just an entire,

23:40anyone who cares about science, innovation,

23:43an entire generation of AI researchers.

23:46And yet, to you that loss, at least if reading your face,

23:50was, seemed like a tragedy, extremely painful.

23:53Like you said, physically painful.

23:55Why?

23:56When you look back at your psychology of that loss,

23:59why was it so painful?

24:01Were you not able to see the seminal nature of that moment?

24:07Or was that exactly why it was that painful?

24:10As I already said, losing was painful, physically painful.

24:17And the match I lost in 1997

24:18was not the first match I lost to a machine.

24:22It was the first match I lost, period.

24:23Yeah.

24:24That's...

24:27Oh, wow.

24:28So...

24:29Oh, wow.

24:30Yeah, it's...

24:31Right.

24:32Yeah, that makes all the difference to me.

24:35Yes.

24:36First time I lost, it's just...

24:38Now, I lost, and the reason I was so angry

24:42that I just, you know, I had suspicions

24:46that my loss was not just a result of my bad play.

24:49Yes.

24:50So though I played quite poorly, you know,

24:51just when you started looking at the games today,

24:53I made tons of mistakes.

24:54But, you know, I had all reasons to believe that,

24:57you know, there were other factors

25:00that had nothing to do with the game of chess.

25:01And that's why I was angry.

25:02But look, it was 22 years ago.

25:05It's water under the bridge.

25:07We can analyze this match,

25:08and this is with everything you said.

25:10I agree with probably one exception,

25:13is that considering chess, you know,

25:16as the sort of, as a pinnacle of intellectual activities,

25:20was our mistake.

25:21Because, you know, we just thought,

25:22oh, it's a game of the highest intellect,

25:25and it's just, you know, you have to be so,

25:27you know, intelligent, and you could see things

25:29that, you know, the ordinary mortals could not see.

25:34It's a game, and all machines had to do with this game

25:40is just to make fewer mistakes, not to solve the game.

25:43Because the game cannot be solved.

25:44I mean, according to Kovalevich Shannon,

25:45the number of legal moves is 10 to the 46th power.

25:49Too many zeros, so just for any computer

25:51to finish the job, you know, in next few billion years.

25:57But it doesn't have to.

25:59It's all about making fewer mistakes.

26:01And I think that's the, this match,

26:03this match actually, and what's happened afterwards

26:06with other games, with Go, with Shoggy, with video games.

26:12It's a demonstration that machines will always be humans

26:17in what I call closed systems.

26:19The moment you build a closed system,

26:22no matter how the system's called, chess, Go, Shoggy,

26:26Dota, machines will prevail simply because they will

26:31bring down a number of mistakes.

26:34Machines don't have to solve it, they just have to,

26:38the way they outplay us, it's not by just being

26:41more intelligent, it's just by doing something else,

26:45but eventually it's just, it's capitalizing on our mistakes.

26:48When you look at the chess machines ratings today,

26:51and compare this to Magnus Carlsen,

26:54it's the same as comparing Ferrari to Usain Bolt.

26:57It's the, the gap is, I mean, by chess standards,

27:01is insane, 34, 3500 to 2800, 2850 on Magnus.

27:06It's like difference between Magnus and an ordinary player

27:09from an open international tournament.

27:13It's not because machine understanding

27:15is better than Magnus Carlsen,

§04Transcript · 27:17–36:37

27:17but simply because it's steady.

27:19Machine has steady hand.

27:21And I think that is what we, we, we,

27:24we have to learn from 1997 experience,

27:28and from further encounters with computers,

27:31and sort of the current state of affairs with AlphaZero,

27:36beating other machines.

27:38The idea that we can compete with computers

27:41in so called intellectual fields,

27:44it was wrong from the very beginning.

27:47It's just, it's, by the way, the 1997 match

27:50was not the first victory of machines over AlphaZero.

27:54Or grandmasters.

27:56Or grandmasters.

27:57No, actually it's, I played against

28:00first decent chess computers from late, from late 80s.

28:04So I played with the prototype of Deep Blue

28:07called Deep Thought in 1989,

28:09two rapid chess games in New York,

28:10I won handily to both games.

28:13We played against new chess engines like Fritz,

28:17and other programs.

28:18And then it's the, it was Israeli program Junior

28:21that appeared in 1995.

28:23Yeah, so there were, there were several programs.

28:25I, you know, I lost few games in Blitz.

28:28I lost one match against the computer chess engine

28:311994 rapid chess.

28:33So I lost one game to Deep Blue in 1996 match,

28:36the man, the match I won.

28:38Some people, you know, tend to forget about it

28:40that I won the first match.

28:41Yes.

28:42But it's, it's, we,

28:45we made a very important psychological mistake

28:48thinking that the reason we lost Blitz matches,

28:51five, five minutes games.

28:52The reason we lost some of the rapid chess matches,

28:5525 minutes chess.

28:56Because we didn't have enough time.

28:58If you play a longer match,

29:00we will not make the same mistakes.

29:02Nonsense.

29:02So this, yeah, we had more time,

29:05but we still make mistakes.

29:06And machine also has more time.

29:07And machines, machine will always, you know,

29:10will always be steady and consistent

29:13compared to humans instabilities and inconsistencies.

29:18And today we are at the point where yes,

29:20nobody talks about, you know,

29:23humans playing as machines.

29:24Now machines can offer handicap to top players

29:27and still, you know, will, will, will be favored.

29:31I think we're just learning that it's, it's,

29:33it's no longer human versus machines.

29:35It's about human working with machines.

29:37That's what I recognized in 1998,

29:41just after leaking my wounds and spending one year

29:44in just, you know, ruminating so the,

29:46so what's happened in this match.

29:48And I knew that though we still could play

29:50against the machines.

29:51I had two more matches in, in 2003,

29:53playing both Deep Fritz and Deep Junior.

29:56Both matches ended as a tie.

29:59Though these machines were not weaker,

30:01at least actually probably stronger than Deep Blue.

30:05And by the way, today chess app on your mobile phone

30:08is probably stronger than Deep Blue.

30:10I'm not speaking about chess engines

30:12that are so much superior.

30:13And by the way, when you analyze games

30:16we played against Deep Blue in 1997 on your chess engine,

30:19they'll be laughing.

30:20So this is, and it's also shows that's how chess changed

30:23because chess commentators, they look at some of our games

30:26like game four, game five, brilliant idea.

30:29Now you ask Stockfish, you ask Houdini,

30:35you ask Commodore, all the leading chess engines.

30:37Within 30 seconds, they will show you how many mistakes

30:40both Gary and Deep Blue made in the game

30:43that was trumpeted as the, as a great chess match in 1997.

30:50Well, okay.

30:51So you've made an interesting,

30:54if you can untangle that comment.

30:56So now in retrospect, it was a mistake to see chess

31:01as the peak of human intellect.

31:03Nevertheless, that was done for centuries.

31:06So by the way, in Europe, because you know,

31:10you move to the far East, they will go,

31:13they had show games.

31:14But games, games.

31:15Again, some of the games like, you know, board games.

31:20Yes.

31:20Yeah, I agree.

31:22So if I push back a little bit, so now you say that,

31:26okay, but it was a mistake to see chess as the epitome

31:29and now, and then now there's other things maybe

31:32like language, that conversation,

31:34like some of the things that in your view

31:36is still way out of reach of computers, but inside humans.

31:40Do you think, can you talk about what those things might be?

31:44And do you think just like chess, they might fall?

31:48Soon with the same set of approaches,

31:51if you look at AlphaZero,

31:52the same kind of learning approaches

31:55as the machines grow in size.

31:57No, no, it's not about growing in size.

31:59It's about, again, it's about understanding the difference

32:02between closed system and open ended system.

32:05So you think that key difference,

32:06so the board games are closed in terms of the rule set,

32:11the actions, the state space, everything is just constrained.

32:15You think once you open it, the machines are lost?

32:19Not lost, but again, the effectiveness is very different

32:22because machine does not understand the moment

32:25it's reaching territory of diminishing returns.

32:28It's the, to put it in a different way,

32:32machine doesn't know how to ask right questions.

32:35It can ask questions, but it will never tell you

32:38which questions are relevant.

32:39So there's the, it's like about the, it's the,

32:41it's a direction.

32:42So these, it's, I think it's in human machine relations,

32:45we have to consider, so our role and people,

32:48many people feel uncomfortable that this,

32:50the territory that belongs to us is shrinking.

32:55I'm saying, so what, you know, this is,

32:57eventually we'll belong to the last few decimal points,

33:00but it's like having, so a very powerful gun,

33:05that's, and all you can do there is slightly,

33:09you know, alter direction of the bullet.

33:11Maybe, you know, 0.1 degree of this angle,

33:16but that means a mile away, 10 meters of target.

33:21So that's, we have to recognize that is a certain

33:25unique human qualities that machines in a foreseeable future

33:30will not be able to reproduce.

33:33And the effectiveness of this cooperation,

33:35collaboration depends on our understanding

33:38what exactly we can bring into the game.

33:40So the greatest danger is when we try to interfere

33:43with machine superior knowledge.

33:45So that's why I always say that sometimes you'd rather have,

33:48by reading these pictures in radiology,

33:51you may probably prefer an experienced nurse

33:55than rather than having top professor,

33:57because she will not try to interfere

34:00with machines understanding.

34:02So it's very important to know that if machines knows

34:05how to do better things in 95%, 96% of territory,

34:09we should not touch it because it's happened.

34:11It's like in chess, recognize they do it better.

34:15See where we can make the difference.

34:17You mentioned AlphaZero, I mean, AlphaZero is,

34:20it's actually a first step into what you may call AI,

34:24because everything that's being called AI today,

34:26it's just, it's one or another variation

34:30of what Claude Shannon characterized as a brute force.

34:34It's a type A machine, whether it's Deep Blue,

34:36whether it's Watson, and all these modern technologies

34:41that are being trumpeted as AI, it's still brute force.

34:45It's the, all they do, it's they do optimization.

34:48It's this, they are, you know, they keep, you know,

34:52improving the way to process human generated data.

34:56Now, AlphaZero is the first step towards, you know,

35:02machine produced knowledge.

35:04Which is, by the way, it's quite ironic

35:06that the first company that championed that was IBM.

35:12Oh, it's in backgammon.

35:13Interesting, in backgammon.

35:15Yes, you should look at IBM, it's a newer gammon.

35:19It's the scientist called Cesaro.

35:22He's still working at IBM.

35:23They had it in the early 90s.

35:25It's the program that played, you know, the AlphaZero type,

35:29so just trying to come up with own strategies.

35:31But because of success of Deep Blue,

35:34this project had been not abandoned,

35:36but just, you know, it was put on hold.

35:40And now we just, you know, it's, you know,

35:42everybody talks about this,

35:44the machines generated knowledge, so as revolutionary.

35:48And it is, but there's still, you know,

35:51many open ended questions.

35:54Yes, AlphaZero generates its own data.

35:58Many ideas that AlphaZero generated in chess

36:00were quite intriguing.

36:02So I looked at these games with,

36:06not just with interest, but with, you know,

36:08it was quite exciting to learn how machine

36:11could actually, you know, juggle all the pieces

36:13and just play positions with a broken material balance,

36:17sacrificing material, always being ahead of other programs,

36:20you know, one or two moves ahead

36:22by foreseeing the consequences,

36:24not overcalculating because machines,

36:27other machines were at least as powerful in calculating,

36:30but it's having this unique knowledge

36:33based on discovered patterns after playing 60 million games.

§05Transcript · 36:37–45:11

36:37Almost something that feels like intuition.

36:39Exactly, but there's one problem.

36:41Yeah.

36:42Now, the simple question,

36:44if AlphaZero faces superior point,

36:47let's say another powerful computer accompanied by a human

36:53who could help just to discover certain problems,

36:56because I already, I look at many AlphaZero games.

36:58I visited their lab, you know,

37:00spoke to Demis Hassabis and his team,

37:01and I know there's certain weaknesses there.

37:04Now, if these weaknesses are exposed,

37:05the question is how many games will it take

37:07for AlphaZero to correct it?

37:09The answer is hundreds of thousands.

37:11Even if it keeps losing, it can,

37:13it's just because the whole system is based.

37:16So it's now, imagine so this is,

37:19you can have a human by just making a few tweaks.

37:21So humans are still more flexible.

37:24And as long as we recognize what is our role,

37:28where we can play sort of,

37:30so the most valuable part in this collaboration.

37:34So it's, it will help us to understand

37:36what are the next steps in human machine collaboration.

37:40Beautifully put.

37:41So let's talk about the thing that machines

37:43certainly don't know how to do yet, which is morality.

37:46Machines and morality.

37:47It's another question that, you know,

37:48just it's being asked all the time these days.

37:51And I think it's another phantom

37:54that is haunting a general public

37:57because it's just being fed with this,

37:59you know, illusions is that how can we avoid machines,

38:03you know, having bias, being prejudiced?

38:07You cannot, because it's like looking in the mirror

38:10and complaining about what you see.

38:12If you have certain bias in the society,

38:14machine will just follow it.

38:17It's just, it's, you know, you look at the mirror,

38:19you don't like what you see there.

38:20You can, you know, you can break it.

38:23You can try to distort it.

38:25Or you can try to actually change something.

38:27Just by yourself.

38:29By yourself, yes.

38:30So it's very important to understand

38:31is that you cannot expect machines

38:33to improve the ills of our society.

38:37And moreover machines will simply, you know,

38:39just, you know, amplify it.

38:41Yes. Yeah.

38:42But the thing is people are more comfortable

38:45with other people doing injustice, with being biased.

38:50We're not comfortable with machines

38:52having the same kind of bias.

38:54So that's an interesting standard

38:58that we place on machines.

38:59With autonomous vehicles, they have to be much safer.

39:01With automated systems.

39:04Of course they're much safer.

39:05Statistically, they're much safer than.

39:07It's not of course.

39:08Why would, it's not of course.

39:10It's not given.

39:13Autonomous vehicles, you have to work really hard

39:16to make them safer.

39:21I think it just, it goes without saying

39:22is the outcome of this,

39:25I would call it competition with comparison is very clear.

39:29But the problem is not about being, you know, safer.

39:32It's the 40,000 people or so every year died

39:36in car accidents in the United States.

39:38And it's statistics.

39:40One accident with autonomous vehicle

39:42and it's front page of a newspaper.

39:43Yes.

39:44So it's, again, it's about psychology.

39:47So it's while people, you know,

39:49kill each other in car accidents

39:50because they make mistakes, they make more mistakes.

39:52For me, it's not a question.

39:54Of course we make more mistakes because we're human.

39:57Yes, machines are old.

39:58And by the way, no machine will ever reach 100% perfection.

40:01That's another important fake story

40:04that is being fed to the public.

40:05If machine doesn't reach 100% performance, it's not safe.

40:09No, all you can ask any computer,

40:11whether it's, you know, playing chess

40:13or doing the stock market calculations

40:16or driving your autonomous vehicle,

40:18it's to make fewer mistakes.

40:21And yes, I know it's not, you know,

40:23it's not easy for us to accept because ah,

40:25if, you know, if you have two humans, you know,

40:28colliding in their cars, okay, it's like,

40:31if one of these cars is autonomous vehicle,

40:34and by the way, even if it's humans fault, terrible.

40:37How could you allow a machine to run

40:40without a driver at the wheel?

40:42So, you know, let's linger that for a second,

40:45that double standard, the way you felt

40:48with your first loss against Deep Blue,

40:51were you treating the machine differently

40:54than you would have a human?

40:56Or, so what do you think about that difference

40:58between the way we see machines and humans?

41:02No, it's the, at that time, you know, for me it was a match.

41:04And that's why I was angry because I believed that

41:06the match was not, you know, fairly organized.

41:08So it's, definitely there were unfair advantages for IBM

41:12and I wanted to play another match, like a rubber match.

41:16So your anger or displeasure was aimed more like

41:20at the humans behind IBM versus the actual pure algorithm.

41:24Absolutely, look, I knew at the time,

41:26and by the way, I was, objectively speaking,

41:29I was stronger at that time.

41:30So that probably added to my anger

41:32because I knew I could beat the machine.

41:34Yeah. Yeah, so that's, and that's the,

41:35and as I lost, and I knew I was not well prepared.

41:38So because they, I have to give them credit.

41:39They did some good work from 1996 and I,

41:43but I still could beat the machine.

41:45So I made too many mistakes.

41:47Also, this is the whole, it's this,

41:48the publicity around the match.

41:49So I underestimated the effect, you know, just it's,

41:53and being called the, you know, the brain's last stand,

41:56you know, okay, no pressure.

42:02Okay, well, let me ask.

42:04So I was born also in the Soviet Union.

42:06What lessons do you draw from the rise and fall

42:09of the Soviet Union in the 20th century?

42:11When you just look at this nation

42:15that is now pushing forward into what Russia is,

42:19if you look at the long arc of history of the 20th century,

42:22what do we take away?

42:27What do we take away from that?

42:28I think the lesson of history is clear.

42:35Undemocratic systems, totalitarian regimes,

42:38systems that are based on controlling their citizens

42:42and just every aspect of their life,

42:46not offering opportunities to, for private initiative,

42:52central planning systems, they're doomed.

42:55They just, you know, they cannot be driving force

42:59for innovation, so they, in the history timeline,

43:02I mean, they could cause certain, you know,

43:06distortion of the concept of progress.

43:11They, by the way, they may call themselves progressive,

43:13but we know that the damage that they caused to humanity

43:17is just, it's yet to be measured.

43:19But at the end of the day, they fail.

43:22They fail, and the end of the Cold War was a great triumph

43:26of the free world.

43:28It's not that the free world is perfect.

43:30It's very important to recognize the fact that,

43:32I always like to mention, you know,

43:34one of my favorite books, The Lord of the Rings,

43:36that there's no absolute good, but there is an absolute evil.

43:42Good, you know, comes in many forms,

43:43but we all, you know, it's being humans

43:47or being even, you know, humans from fairy tales

43:49or just some sort of mythical creatures.

43:52It's the, you can always find spots on the songs.

43:57So this is conducting war and just,

44:01and fighting for justice.

44:03There are always things that, you know,

44:04can be easily criticized.

44:06And human history is the,

44:08is a never ending quest for perfection.

44:11But we know that there is absolute evil.

44:13We know it's, for me, it's no clear, it's, I mean,

44:16nobody argues about Hitler being absolute evil,

44:18but I think it's very important to recognize

44:19Stalin was absolute evil.

44:21Communism caused more damage

44:23than any other ideology in the 20th century.

44:26And unfortunately, while we all know

44:28that fascism was condemned,

44:30but there was no Nuremberg for communism.

44:32And that's why we could see, you know,

44:33still the successors of Stalin

44:36are feeling far more comfortable.

44:39And Putin is one of them.

44:40You highlight a few interesting connections actually

44:43between Stalin and Hitler.

44:45I mean, in terms of the adjusting

44:49or clarifying the history of World War II,

44:53which is very interesting.

44:54Of course, we don't have time.

44:55So let me ask.

44:56You can ask, you know,

44:57I just recently delivered a speech in Toronto

44:59at 80th anniversary of Molotov Ribbentrop Pact.

45:02It's something that I believe, you know,

45:03just, you know, has, must be taught in the schools

45:07that the World War II had been started by two dictators

§06Transcript · 45:11–55:02

45:11by signing these criminal treaty,

45:15collusion of two tyrants in August 1939

45:19that led to the beginning of the World War II.

45:21And the fact is that eventually Stalin had no choice

45:24but to join allies because Hitler attacked him.

45:27So it just doesn't, you know,

45:29eliminate the fact that Stalin helped Hitler

45:33to start World War II.

45:34And he was one of the beneficiaries at early stage

45:37by annexing a part of Eastern Europe.

45:40And as a result of the World War II,

45:42he annexed almost entire Eastern Europe.

45:44And for many Eastern European nations,

45:46the end of the World War II

45:47was the beginning of communist occupation.

45:50So Putin, you've talked about as a man who stands

45:56between Russia and democracy, essentially today.

46:00You've been a strong opponent and critic of Putin.

46:04Let me ask again, how much does fear

46:07enter your mind and heart?

46:09So in 2007, there's this interesting comment

46:12from Oleg Kalugin, KGB general.

46:17He said that I do not talk details.

46:19People who knew them are all dead now

46:21because they were vocal.

46:23I'm quiet.

46:25There's only one man who's vocal and he may be in trouble.

46:28World Chess champion Kasparov.

46:30He has been very outspoken in his attacks on Putin.

46:33And I believe he's probably next on the list.

46:36So clearly your life has been

46:38and perhaps continues to be in danger.

46:40How do you think about having the views you have,

46:45the ideas you have, being in opposition as you are

46:49in this kind of context when your life could be in danger?

46:55That's the reason I live in New York.

46:58So it was not my first choice,

47:00but I knew I had to leave Russia at one point.

47:01And among other places, New York is the safest.

47:05Is it safe?

47:07No.

47:07It's the, I know what happened,

47:11what is happening with many of Putin's enemies.

47:14But at the end of the day, I mean, what can I do?

47:18I could be very proactive

47:21by trying to change things I can influence.

47:24But here are a few facts.

47:26I cannot stop doing what I've been doing for a long time.

47:30It's the right thing to do.

47:32I grew up with my family teaching me

47:36sort of the wisdom of Soviet dissidents,

47:38do what you must and so be.

47:41I could try to be cautious by not traveling

47:44to certain places where my security could be at risk.

47:49There are so many invitations to speak

47:51at different locations in the world.

47:52And I have to say that many countries are just now

47:57are not destinations that I can afford to travel.

48:01My mother still lives in Moscow.

48:02I meet her a few times a year.

48:04She was devastated when I had to leave Russia

48:07because since my father died in 1971,

48:10so she was 33 and she dedicated her entire life

48:14to her only son.

48:15But she recognized in just a year or so

48:19since I left Russia that it was the only chance

48:22for me to continue my normal life.

48:25So just to, I mean, to be relatively safe

48:29and to do what she taught me to do to make the difference.

48:35Do you think you will ever return to Russia

48:37or let me ask a different way?

48:39When?

48:40Even sooner than many people think

48:41because I think Putin's regime

48:43is facing unsurmountable difficulties.

48:46And again, I read enough historical books

48:49to know that dictatorships, they end suddenly.

48:54It's just on Sunday, dictator feels comfortable.

49:01He believes he's popular on Monday morning, he's bust.

49:05The good news and bad news.

49:07I mean, the bad news is that I don't know

49:09when and how Putin rule ends.

49:13The good news, he also doesn't know.

49:14Okay, well put.

49:19Let me ask a question that seems to preoccupy

49:24the American mind from the perspective of Russia.

49:28One, did Russia interfere in the 2016 U.S. election,

49:33government sanction and future?

49:37Two, will Russia interfere in the 2020 U.S. election?

49:42And what does that interference look like?

49:45It's very old.

49:46We had such an intelligent conversation.

49:48And you are ruining everything

49:51by asking such a stupid question.

49:53It's insulting for my intellect.

50:01Of course they did interfere.

50:03Of course they did absolutely everything to elect Trump.

50:05I mean, they said it many times.

50:07It is just, you know, I met enough KGB colonels in my life

50:11to tell you that, you know,

50:12just the way Putin looks at Trump, this is the way.

50:16Look, and I don't have to hear what he says,

50:18what Trump says, it just is,

50:20I don't need to go through congressional investigations.

50:23The way Putin looks at Trump

50:24is the way the KGB officers looked at the assets.

50:28It's just, and following to 2020,

50:31of course they will do absolutely everything

50:33to help Trump to survive.

50:35Because I think the damage that Trump's reelections

50:37could cause to America and to the free world,

50:40it's just, it's beyond one's imagination.

50:42I think basically if Trump is reelected,

50:44he will ruin NATO, because he's already heading

50:47in this direction, but now he's just,

50:49he's still limited by the reelection hurdles.

50:56If he's still in the office after November, 2020,

51:01okay, January, 2021, I don't want to think about it.

51:05My problem is not just Trump,

51:07because Trump is basically, it's a symptom.

51:09But the problem is that I don't see,

51:11it's just, it's the, in American political horizon,

51:18politicians who could take on Trump

51:22for all damage that he's doing for the free world.

51:25Not just things that has happened

51:27that went wrong in America.

51:28So there's the, it seems to me that the campaign,

51:30political campaign on the Democratic side

51:32is fixed on certain important, but still secondary issues.

51:37Because when you have the foundation of the republic

51:40in jeopardy, I mean, you cannot talk about healthcare.

51:44I mean, I understand how important it is,

51:45but it's still secondary because the entire framework

51:48of American political life is at risk.

51:50And you have Vladimir Putin just,

51:53it's having, fortunately, free hands

51:56by attacking America and other free countries.

52:00And by the way, we have so much evidence

52:02about Russian interference in Brexit,

52:04in elections in almost every European country.

52:07And thinking that they will be shy of attacking America

52:11in 2020, now with Trump in the office, yeah.

52:15I think it's, yeah, it definitely diminishes

52:19the intellectual quality of our conversation.

52:21I do what I can.

52:24Last question.

52:26If you can go back, just look at the entirety of your life,

52:28you accomplished more than most humans will ever do.

52:33If you could go back and relive a single moment

52:35in your life, what would that moment be?

52:43There are moments in my life when I think

52:46about what could be done differently, but.

52:52No, experience happiness and joy and pride.

52:56Just a touch once again.

52:58I know, I know, but it's the, it's the,

53:00I made many mistakes in my life.

53:01So I just, it's the, I know that at the end of the day,

53:05it's, I believe in the butterfly effect.

53:07So it's the, it's the, I knew moments where I could,

53:11now if I'm there at that point in 89 and 93,

53:16you pick up a year, I could improve my actions

53:20by not doing this stupid thing.

53:25But then how do you know

53:26that I will have all other accomplishments?

53:27I just, I'm, I'm afraid that, you know,

53:31we just have to just follow this,

53:34if you may call wisdom before is gump, you know,

53:36it's the life is this, you know, it's, this is,

53:38it's a box of, of, of, of chocolate

53:41and you don't know what's inside,

53:42but you have to go one by one.

53:44So it's the, I'm, I'm happy with who I am

53:47and where I am today.

53:49And I am very proud, not only with my chess accomplishments,

53:52but that I made this transition.

53:54And since I left chess, you know,

53:56I built my own reputation that had some influence

54:00on the game of chess, but not, it's not, you know,

54:03directly derived from, from, from the game.

54:06I'm grateful for my wife.

54:08So help me to build this life.

54:10We actually married in 2005.

54:11It was my third marriage.

54:12That's why I said I'd made mistakes in my life.

54:14But, and by the way, I'm close with two kids

54:17from my previous marriages.

54:18So that's, that's the, I'm, you know,

54:20I managed to sort of to balance my life and,

54:23and here in, I live in New York.

54:25So we have our two kids born here in New York.

54:28It's, it's new life and it's, you know, it's, it's busy.

54:31Sometimes I wish I could, you know, I could limit

54:33my engagement in many other things that are still,

54:37you know, taking time and energy,

54:42but life is exciting.

54:44And as long as I can feel that I have energy,

54:48I have strengths, I have passion to make the difference,

54:54I'm happy.

54:56I think that's a beautiful moment to end on.

54:59Gary, thank you very much for talking today.

§07Transcript · 55:02–55:29

55:02Thank you.

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