WEBVTT - One Of The Top Chess Players Talks Computers & Options Trading

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<v Speaker 1>But knowledge to work and grow your business with c

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<v Speaker 1>T dot com put Knowledge to Work. Hello, and welcome

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<v Speaker 1>to another episode of The Odd Lots podcast. I'm Joe

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<v Speaker 1>Wisenthal and I'm Tracy Alloway. So, Tracy, before we uh,

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<v Speaker 1>before we got on here, you were joking that today's episode,

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<v Speaker 1>if we wanted, we could probably go for three hours,

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<v Speaker 1>or at least I could. Yeah, I'm I was joking

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<v Speaker 1>about that, and I'm laughing right now because I think

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<v Speaker 1>I can sense your excitement from thousands and thousands of

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<v Speaker 1>miles away from New York. Yeah, I'm not going to

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<v Speaker 1>deny that I'm extremely excited about today's episode, and if

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<v Speaker 1>we didn't have time constraints, we could probably go a

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<v Speaker 1>long time. But I really think our guest today is

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<v Speaker 1>right in the sweet spot of some of the biggest

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<v Speaker 1>themes that we've covered on this podcast and all the

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<v Speaker 1>time that we've done it. Wait, so who is it

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<v Speaker 1>and why do you think that? So we're not We're

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<v Speaker 1>We're just gonna completely dispense with all the preamble and

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<v Speaker 1>jump straight into the guests and just just get right

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<v Speaker 1>into it. Well, I have a major preamble that I

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<v Speaker 1>want to give before we get to the guests. But

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<v Speaker 1>why don't you say who it is? Because I know

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<v Speaker 1>that you you want to talk about him. Okay, I'm

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<v Speaker 1>very excited. Our guest today is maybe the first sort

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<v Speaker 1>of legit celebrity that we've had on the Odd Lots podcast.

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<v Speaker 1>His name is Hikaru Nakamura. He is one of the

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<v Speaker 1>top chess players in the entire world right now. He's

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<v Speaker 1>rated around number seven. I believe he he was a prodigy,

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<v Speaker 1>he earned his he became a grand master at age ten.

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<v Speaker 1>If Wikipedia is correct. He's mad, he's giving a face.

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<v Speaker 1>I don't know if that's completely agurd, but very young.

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<v Speaker 1>And in addition to being a chess phenomen he also

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<v Speaker 1>does other stuff like trading options and at times play

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<v Speaker 1>poker competitively. So he's just a completely sweet spot Odd

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<v Speaker 1>Lots guest here, all right, And obviously we've had a

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<v Speaker 1>lot of episodes about trading and investing. We've also had

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<v Speaker 1>episodes in the past about chess and poker, so I

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<v Speaker 1>can see how you would be very very enthusiastic about

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<v Speaker 1>this one. Here is my major preamble for you, Joe.

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<v Speaker 1>I know absolutely nothing about chess. In fact, I find

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<v Speaker 1>chess extremely frustrating because whenever I play with my husband,

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<v Speaker 1>he doesn't let me win ever. In fact, he uses

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<v Speaker 1>that what's that thing where you win in like two moves?

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<v Speaker 1>That's so cringe, so cringe the the scholars mate, Well,

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<v Speaker 1>whatever it is, he's done it to me several times now,

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<v Speaker 1>and I fall for it every single time. So everyone

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<v Speaker 1>is just going to have to bear with me asking

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<v Speaker 1>very very basic questions about chess. But I actually read

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<v Speaker 1>on Hikaru's Wikipedia page as well that he has an

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<v Speaker 1>uncommon enthusiasm for chess and is known for being far

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<v Speaker 1>more approachable than other players of his abilities. So I'm

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<v Speaker 1>I'm sure he's going to humor me, right, Well, I

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<v Speaker 1>think that sounds like an ideal guest. So I say

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<v Speaker 1>we should just get started, Karo. Welcome up, Welcome to

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<v Speaker 1>the show. That's good to be here, Joe. So you

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<v Speaker 1>were making a face. I said something about when you

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<v Speaker 1>achieved grand master status? When did you become a grand master?

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<v Speaker 1>And uh, I think it said you got there faster

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<v Speaker 1>than Bobby Fisher did, Is that right? Yeah? So, um,

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<v Speaker 1>so when you referred to being ten years old, that's

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<v Speaker 1>when I became the youngest master. That's slightly lower ranking,

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<v Speaker 1>but um, at the time, at least they had they

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<v Speaker 1>kept that record in the Guinness Book of World Records.

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<v Speaker 1>So when I was very young, like I was trying

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<v Speaker 1>to get to that level and so that was important.

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<v Speaker 1>But I became a grand master I was fifteen years old.

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<v Speaker 1>I was about a month and a half younger than

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<v Speaker 1>Bobby Fisher. So that made me the youngest American grand

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<v Speaker 1>master in the world at the time. I guess that's impressive.

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<v Speaker 1>Uh when did you so, you know, it's always sort

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<v Speaker 1>of an interesting question with sort of young prodigies phenomens.

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<v Speaker 1>What was the moment early on where someone or you

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<v Speaker 1>recognize that you were on a different level than other

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<v Speaker 1>people who were learning at the same time. Well, I think, um,

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<v Speaker 1>it's not so much that I was on a different level.

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<v Speaker 1>There are there are a lot of talented young kids

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<v Speaker 1>who played chess, and um, I think it was just

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<v Speaker 1>that I had this this will will in, this motivation

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<v Speaker 1>with within me to just keep trying to win every

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<v Speaker 1>game all the time and UM. And when when you

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<v Speaker 1>start performing, even at like eleven or twelve years old,

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<v Speaker 1>by being strong grand masters, UM, it certainly shows that

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<v Speaker 1>you have talent and and it's it's a matter of

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<v Speaker 1>taking that talent and just keep keeping up and keep

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<v Speaker 1>going forward with it and UM. And basically, I would

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<v Speaker 1>say from the time I was about fifteen, I had

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<v Speaker 1>a certain inclination that I might become a professional chess player,

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<v Speaker 1>but it wasn't until I was probably nineteen or twenty

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<v Speaker 1>that that actually came to fruition because I've had a

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<v Speaker 1>lot of many other interests in my life, so there

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<v Speaker 1>there have been many other things that I've I've been

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<v Speaker 1>doing with my time as well. Was chess something that

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<v Speaker 1>you were naturally attracted to at a young age? And

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<v Speaker 1>you know, if so, what did you like about it? Well?

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<v Speaker 1>I think when when you think about chess, you hear

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<v Speaker 1>a lot of stories about these kids who are just

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<v Speaker 1>great from the time that they first started playing. It's

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<v Speaker 1>just they're they're just amazing and they just win every

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<v Speaker 1>game the start. UM. Whereas for me, that certainly wasn't

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<v Speaker 1>the case when I when I started out playing my

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<v Speaker 1>first tournament, for example, I played four games and I

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<v Speaker 1>lost every single one, and the first year that I

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<v Speaker 1>played chess, I did not have many great results, and

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<v Speaker 1>my parents actually stopped me from playing for about six months.

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<v Speaker 1>And it was only when I came back that that

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<v Speaker 1>some something clicked and I just happened to start winning games,

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<v Speaker 1>um and then from there it just kept, you know,

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<v Speaker 1>I just kept going forward. But certainly it's not something

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<v Speaker 1>that I had a natural talent for, and actually most things, um,

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<v Speaker 1>I don't seem to have a natural talent, which in

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<v Speaker 1>a way, I think is a good thing, because I

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<v Speaker 1>think the harder you have to work for something, um,

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<v Speaker 1>the better you become at it. And when you hit

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<v Speaker 1>the when you hit the wall, you kind of you

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<v Speaker 1>you keep trying, you find a way to persevere. Whereas

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<v Speaker 1>there there have been a lot of other kids who

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<v Speaker 1>were much better than I was when they were young,

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<v Speaker 1>but it's just it was a straightforward path, and so

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<v Speaker 1>they just became really good, really quickly, and then at

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<v Speaker 1>a certain point they hit the wall and they didn't

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<v Speaker 1>know how to how to go from there because they

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<v Speaker 1>just couldn't couldn't improve. And I basically had to learn

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<v Speaker 1>how to improve from the very start. So I think

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<v Speaker 1>it's it's uh for me at least, it's been very

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<v Speaker 1>useful that I don't have a natural talent for a

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<v Speaker 1>lot of things. Talk about that a little bit more

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<v Speaker 1>breaking through because I think had something a lot of

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<v Speaker 1>people experience and all kinds of endeavors where maybe they

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<v Speaker 1>hit a wall for their talent or they can't figure

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<v Speaker 1>out how to take it to the next level. What

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<v Speaker 1>was it? I mean, anyone could say you have to

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<v Speaker 1>work hard and concentrate, but even that often doesn't do

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<v Speaker 1>it for a lot of people. So that process of

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<v Speaker 1>figuring out your problem, solving it, and actually being able

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<v Speaker 1>to make material gains in your improvement, what did that entail? UM?

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<v Speaker 1>I mean obviously working hard, I mean it is a

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<v Speaker 1>big part of it, but I think in general it's

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<v Speaker 1>just you know, believing, believing in yourself, believing in the

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<v Speaker 1>process no matter what. UM I think. There there were

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<v Speaker 1>many times when I stopped, stopped improving, and and one

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<v Speaker 1>one good example was when I was about seventeen years old.

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<v Speaker 1>I had become a really strong grand master. I was

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<v Speaker 1>top one hundred in the world, but I was stuck

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<v Speaker 1>around fiftie in the world, and for a period of time,

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<v Speaker 1>I went to college I quit chest for for about

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<v Speaker 1>seven to eight months, um, and just by being away

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<v Speaker 1>from it. When I came back, of course I i

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<v Speaker 1>started working hard again, but I just learned how to

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<v Speaker 1>enjoy it. And I think it's it's important that besides

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<v Speaker 1>the hard work that you have to you have to

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<v Speaker 1>enjoy it. You have to really be into and be

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<v Speaker 1>passionate about it, because otherwise, uh, otherwise you're just not

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<v Speaker 1>going to go anywhere. And um, I think I think

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<v Speaker 1>for me it was it was just learning how to

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<v Speaker 1>enjoy it again and kind of like remembering what the

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<v Speaker 1>whole point of it was in the first place, which

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<v Speaker 1>is you know, it's a game, but you you want

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<v Speaker 1>you want to have fun, you want to do well,

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<v Speaker 1>but just enjoying enjoying everything about it. How did you

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<v Speaker 1>actually turn professional? And how does the business of being

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<v Speaker 1>a professional chess player actually work? Like? How are you

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<v Speaker 1>rewarded for playing games? Are there sponsorships? How do you

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<v Speaker 1>make money? So? Yeah, so chess, um, it's it's one

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<v Speaker 1>of those fields where it's very much a meritocracy, so

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<v Speaker 1>it's all based on your results and going professional. It's

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<v Speaker 1>not like like a major sport, for example, where you

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<v Speaker 1>know a team drafts you or something along those lines. Basically, uh,

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<v Speaker 1>you just decide on your own to just devote your

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<v Speaker 1>life to laying chess and um, and they're there are

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<v Speaker 1>people in the world who would consider themselves professional chess

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<v Speaker 1>players who are who are not even grand masters. So um,

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<v Speaker 1>there there are. There are a lot of different ways

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<v Speaker 1>of defining a professional. But UM, I would say that

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<v Speaker 1>probably the top twenty five thirty players in the world

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<v Speaker 1>make a very good living playing it. Um in large

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<v Speaker 1>part because the major events with big sponsors, UM, they

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<v Speaker 1>are invitational only, so you have maybe the top ten,

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<v Speaker 1>top fifteen players in the world and in some order

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<v Speaker 1>who are invited and therefore, um, outside of that, it's

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<v Speaker 1>very hard. Usually you go from tournament to tournament, country

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<v Speaker 1>to country just trying to earn a living, and it's

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<v Speaker 1>it's very difficult, which is why there are a lot

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<v Speaker 1>of people who I think when they're younger, like in

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<v Speaker 1>their early twenties, they try to play chess professionally, but

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<v Speaker 1>at some point if they don't break into that top

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<v Speaker 1>twenty five, top thirty in the world, UM, they they

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<v Speaker 1>eventually quit. And as far as the rankings go, every game, UM,

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<v Speaker 1>you you gain points or you lose points based on

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<v Speaker 1>what you're elo ranking is UM and whether the opponent

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<v Speaker 1>you're playing as lower ranked or higher ranked than you.

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<v Speaker 1>So let's saig here a little bit, because in the

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<v Speaker 1>intro we talked about how chess isn't your only pursuit.

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<v Speaker 1>It's not your only passion. You're also into trading and

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<v Speaker 1>options trading. In fact, you tweet, UM. I think you

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<v Speaker 1>actually tweet a lot. I've seen more tweets I think

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<v Speaker 1>about options, various options trades that you do than chess,

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<v Speaker 1>at least as far as I've noticed. Where did that

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<v Speaker 1>come from? UM, I've I've always had an interest in

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<v Speaker 1>finance since I was very young. UM. When I was

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<v Speaker 1>about fourteen or fifteen, my my my mom bought me

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<v Speaker 1>a couple of books that it was just about general

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<v Speaker 1>general investing UM, and I happen to read them and

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<v Speaker 1>I found it found it quite interesting, quite fascinating, UM.

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<v Speaker 1>How the markets work, UM, you know, in investing in companies,

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<v Speaker 1>trying trying to make money UM over the long term.

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<v Speaker 1>And so I kind of started with a very small

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<v Speaker 1>account UM. And it remained that way for a long time.

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<v Speaker 1>Primarily I was just trading in equities UM. But about

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<v Speaker 1>a year and a half ago I started I started

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<v Speaker 1>getting into options. Originally it was because I started looking

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<v Speaker 1>into um uh you know, writing calls against stock that

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<v Speaker 1>I had purchased, and from there kind of I started

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<v Speaker 1>looking at more options strategies and a few people I know,

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<v Speaker 1>I'm very fortunate in that regard um have been options

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<v Speaker 1>traders professionally, and so they they've helped me along the

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<v Speaker 1>way to you know, kind of figure out how how

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<v Speaker 1>to learn strategies and go from there. This might be

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<v Speaker 1>a slightly random question, but is there any direct relation

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<v Speaker 1>between what you do when it comes to chess and

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<v Speaker 1>the way you trade options. I think one of the

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<v Speaker 1>main things is not just options, but markets in general,

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<v Speaker 1>is um that chess players tend to be very analytical.

0:11:44.600 --> 0:11:47.120
<v Speaker 1>And I think that when you're looking at the markets,

0:11:47.120 --> 0:11:49.760
<v Speaker 1>whether it's options, whether it's equities, no matter what the

0:11:49.800 --> 0:11:52.440
<v Speaker 1>time frame, you have to be analytical. You have to

0:11:52.520 --> 0:11:54.960
<v Speaker 1>look at it from a perspective of you know, planning ahead,

0:11:54.960 --> 0:11:57.040
<v Speaker 1>trying to figure out what can go right, what can

0:11:57.080 --> 0:11:59.600
<v Speaker 1>go wrong? What are what are the very scenarios? UM.

0:11:59.760 --> 0:12:02.040
<v Speaker 1>It's much with options. You know, if you're if you're

0:12:02.080 --> 0:12:04.920
<v Speaker 1>doing um, you know, say like a a spread for example,

0:12:05.000 --> 0:12:07.560
<v Speaker 1>or if you're doing like you know, ratios or just

0:12:07.640 --> 0:12:10.480
<v Speaker 1>straight you know, calls or puts um trying to figure out,

0:12:10.520 --> 0:12:13.200
<v Speaker 1>you know, based on certain events, what happens, you know,

0:12:13.280 --> 0:12:16.000
<v Speaker 1>what's the breaking point assuming it you know, you don't

0:12:16.080 --> 0:12:20.080
<v Speaker 1>it doesn't go uh, you know, straight up or straight down, um,

0:12:20.160 --> 0:12:22.079
<v Speaker 1>and going from there. So in general, it's just being

0:12:22.160 --> 0:12:26.080
<v Speaker 1>very analytical and thinking ahead. That's that's the biggest correlation there.

0:12:26.120 --> 0:12:28.320
<v Speaker 1>There are, in fact, a lot of people I know

0:12:29.160 --> 0:12:31.880
<v Speaker 1>growing up who actually have ended up in finance as well,

0:12:31.920 --> 0:12:35.160
<v Speaker 1>and I don't think that's a coincidence. Now, a lot

0:12:35.200 --> 0:12:39.120
<v Speaker 1>of people would say that there's a fundamental difference between

0:12:39.160 --> 0:12:43.040
<v Speaker 1>any sort of trading activity and chess, And of course

0:12:43.200 --> 0:12:45.320
<v Speaker 1>the sort of big gap is the role of chance

0:12:45.720 --> 0:12:49.840
<v Speaker 1>and the role of psychology playing a much more outsized

0:12:49.960 --> 0:12:53.400
<v Speaker 1>role in markets. And so you can calculate something perfectly

0:12:53.400 --> 0:12:55.880
<v Speaker 1>in chess and then you can execute it, and if

0:12:55.880 --> 0:12:59.040
<v Speaker 1>it's if you calculated correctly, there's nothing your opponent can do,

0:12:59.679 --> 0:13:03.080
<v Speaker 1>where as all kinds of things can happen in markets.

0:13:03.160 --> 0:13:05.720
<v Speaker 1>You could have the perfect strategy and then something could

0:13:05.720 --> 0:13:07.640
<v Speaker 1>come out of nowhere, or there could be a bubble

0:13:08.000 --> 0:13:11.360
<v Speaker 1>or some sort of panic that totally destroys the calculations.

0:13:11.640 --> 0:13:15.240
<v Speaker 1>You know, there's this element that doesn't exist on the chessboard.

0:13:15.520 --> 0:13:19.640
<v Speaker 1>How hard is it to shift thinking from one realm

0:13:19.720 --> 0:13:22.560
<v Speaker 1>to another? For me, it's not that hard. And and

0:13:22.600 --> 0:13:24.880
<v Speaker 1>actually it brings up something else that I'm kind of

0:13:24.880 --> 0:13:27.800
<v Speaker 1>curious about, which is I've actually thought that trading is

0:13:27.800 --> 0:13:30.319
<v Speaker 1>a little bit closer to poker in some ways from

0:13:30.360 --> 0:13:33.400
<v Speaker 1>that standpoint, and um, I'm a little bit curious to

0:13:33.480 --> 0:13:36.000
<v Speaker 1>kind of try it out because originally I played, I

0:13:36.040 --> 0:13:38.520
<v Speaker 1>played some poker, and then then then I eventually got

0:13:38.559 --> 0:13:40.400
<v Speaker 1>into trading. So it's kind of like, because I was

0:13:40.400 --> 0:13:43.840
<v Speaker 1>a strong chess player, I couldn't handle the chance element

0:13:44.000 --> 0:13:46.800
<v Speaker 1>in poker, whereas I seem to handle handle the chance

0:13:46.880 --> 0:13:49.240
<v Speaker 1>and the risk management much better in trading. So I'm

0:13:49.280 --> 0:13:50.880
<v Speaker 1>kind of curious to say, like, go from this and

0:13:50.920 --> 0:13:53.640
<v Speaker 1>then play some poker again soon and see if see

0:13:53.640 --> 0:13:56.160
<v Speaker 1>if it changes, because that is a very big difference.

0:13:56.200 --> 0:13:59.240
<v Speaker 1>That that is. Uh, the biggest difference is that in chess,

0:13:59.640 --> 0:14:01.880
<v Speaker 1>if you play well, um, I mean I would say

0:14:01.920 --> 0:14:05.160
<v Speaker 1>probably at the time something good will happen. You might

0:14:05.160 --> 0:14:07.319
<v Speaker 1>not win the games. Your opponent plays very well but

0:14:07.640 --> 0:14:10.040
<v Speaker 1>you aren't gonna lose if you make, say, forty good

0:14:10.080 --> 0:14:12.439
<v Speaker 1>moves in a row, and so therefore that that is

0:14:12.480 --> 0:14:15.640
<v Speaker 1>a big difference. But for me, UM, I've I find

0:14:15.679 --> 0:14:18.840
<v Speaker 1>that I don't have that much difficulty switching and making

0:14:19.160 --> 0:14:22.320
<v Speaker 1>just straightforward decisions. UM. For me, it seems much more

0:14:22.320 --> 0:14:24.840
<v Speaker 1>logical actually with trading that it does with chess in

0:14:24.840 --> 0:14:27.400
<v Speaker 1>a way. Yeah, So I have to say, UM, poker

0:14:27.520 --> 0:14:30.120
<v Speaker 1>is probably the analogy that we hear the most when

0:14:30.160 --> 0:14:33.440
<v Speaker 1>it comes to trading. Uh. And you said you played

0:14:33.560 --> 0:14:35.240
<v Speaker 1>a little bit of poker in the past. Did you

0:14:35.280 --> 0:14:38.080
<v Speaker 1>find it more difficult than chess or can you kind

0:14:38.080 --> 0:14:40.120
<v Speaker 1>of walk us through what your performance was like on

0:14:40.160 --> 0:14:43.440
<v Speaker 1>that front. Yeah, I found a poker quite difficult. And

0:14:43.480 --> 0:14:45.600
<v Speaker 1>it's for the exact reason that you would think that

0:14:45.680 --> 0:14:49.080
<v Speaker 1>the trading should be difficult compared to chess, which is that, UM,

0:14:49.120 --> 0:14:50.520
<v Speaker 1>I felt like I was making a lot of the

0:14:50.600 --> 0:14:53.400
<v Speaker 1>right decisions more often than not, but the results were

0:14:53.520 --> 0:14:56.280
<v Speaker 1>were not right. I would end up you know. I mean.

0:14:56.280 --> 0:14:58.400
<v Speaker 1>The best example is when I played the World Series

0:14:58.400 --> 0:15:01.760
<v Speaker 1>of Poker or the Main Event and an eleven and UM,

0:15:01.800 --> 0:15:05.160
<v Speaker 1>in that event, I played tight, I played normal, normal

0:15:05.200 --> 0:15:08.040
<v Speaker 1>solid poker and then at the end of the second day,

0:15:08.680 --> 0:15:10.920
<v Speaker 1>and probably like the last twenty minutes, I ended up

0:15:10.960 --> 0:15:13.080
<v Speaker 1>with this hand where I had kings and the other

0:15:13.120 --> 0:15:16.040
<v Speaker 1>guy had a pair of eights, and uh, on the

0:15:16.040 --> 0:15:18.120
<v Speaker 1>flop there was an eight and and I busted out

0:15:18.160 --> 0:15:22.520
<v Speaker 1>that way despite really not doing anything anything wrong at all. Um.

0:15:22.560 --> 0:15:24.960
<v Speaker 1>And that's just one example. But I think that at

0:15:24.960 --> 0:15:27.400
<v Speaker 1>the time I found it very hard because again compared

0:15:27.440 --> 0:15:30.000
<v Speaker 1>to chess, uh, that there is that luck. You can

0:15:30.040 --> 0:15:33.080
<v Speaker 1>make all the right decisions, but then somehow you you lose,

0:15:33.120 --> 0:15:34.800
<v Speaker 1>so you're all the tournament or you you know, you

0:15:35.240 --> 0:15:37.400
<v Speaker 1>bust in the cash game. It's like it's a very

0:15:37.440 --> 0:15:41.400
<v Speaker 1>strange feeling. Um from that standpoint. But for for me,

0:15:41.440 --> 0:15:42.960
<v Speaker 1>I don't know what the difference is, but I have

0:15:43.040 --> 0:15:46.320
<v Speaker 1>found with trading it's much easier for me than than

0:15:46.480 --> 0:15:48.600
<v Speaker 1>than it was with poker. But of course I haven't

0:15:48.600 --> 0:15:50.480
<v Speaker 1>played poker seriously in a few years, and maybe it

0:15:50.480 --> 0:15:53.680
<v Speaker 1>would be an interesting experience experiment to go back to

0:15:53.800 --> 0:15:56.080
<v Speaker 1>playing some poker now just to see if see if

0:15:56.120 --> 0:15:58.560
<v Speaker 1>because I have this experience with trading, whether it's a

0:15:58.600 --> 0:16:00.560
<v Speaker 1>little bit different. Let's take a right now for a

0:16:00.560 --> 0:16:03.440
<v Speaker 1>word from our sponsor. But first we want to take

0:16:03.440 --> 0:16:05.600
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0:16:32.040 --> 0:16:34.560
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0:16:34.560 --> 0:16:37.520
<v Speaker 1>you go to the New York Times and you read

0:16:37.520 --> 0:16:41.000
<v Speaker 1>an article about Facebook. You can instantly pull up all

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0:16:49.200 --> 0:16:53.440
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0:16:53.520 --> 0:16:56.280
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0:16:56.640 --> 0:16:59.680
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0:17:25.760 --> 0:17:29.600
<v Speaker 1>and we're back with Karu Nakamura, one of the top

0:17:29.760 --> 0:17:33.480
<v Speaker 1>chess players in the entire world and therefore obviously also

0:17:33.520 --> 0:17:36.359
<v Speaker 1>one of the top players in the US. We're also

0:17:36.480 --> 0:17:41.520
<v Speaker 1>talking about his experience having played poker, his experience and

0:17:41.600 --> 0:17:45.720
<v Speaker 1>options trading car The obvious sort of follow up is

0:17:45.760 --> 0:17:50.119
<v Speaker 1>that all of these areas, whether it's poker, trading, chess,

0:17:50.640 --> 0:17:54.840
<v Speaker 1>the nature of active participation has changed dramatically due to

0:17:55.280 --> 0:17:59.040
<v Speaker 1>the use of computers artificial technology the top. It was

0:17:59.080 --> 0:18:01.440
<v Speaker 1>probably a point or no one imagined that the top

0:18:01.520 --> 0:18:04.800
<v Speaker 1>chess computers could compete with the top humans. Now that

0:18:04.920 --> 0:18:10.000
<v Speaker 1>question has been changed. Obviously, computers have completely changed the

0:18:10.000 --> 0:18:13.439
<v Speaker 1>way markets trade or you know, changed the balance of um,

0:18:13.480 --> 0:18:16.560
<v Speaker 1>how humans interact with it. Computers are getting better and

0:18:16.600 --> 0:18:20.720
<v Speaker 1>better all the time at a poker as well. Let's

0:18:21.200 --> 0:18:24.320
<v Speaker 1>talk about this a little bit in chess. How have

0:18:24.760 --> 0:18:27.520
<v Speaker 1>computers in your view changed the game? How have they

0:18:27.600 --> 0:18:32.160
<v Speaker 1>changed your preparation? How do you see them having influenced it? Basically,

0:18:32.320 --> 0:18:35.320
<v Speaker 1>I think the main thing that's changed with computers UM

0:18:35.440 --> 0:18:38.160
<v Speaker 1>is that at this point in time, because it becomes

0:18:38.200 --> 0:18:40.960
<v Speaker 1>so strong, you just automatically assume that they're right. So,

0:18:41.040 --> 0:18:43.320
<v Speaker 1>for example, if you put a certain chess position and

0:18:43.400 --> 0:18:46.080
<v Speaker 1>you have one of the computer engines analyzing it, you

0:18:46.160 --> 0:18:48.959
<v Speaker 1>just trust the evaluation what it says. You know, white's

0:18:49.000 --> 0:18:52.000
<v Speaker 1>whites better, whites winning, or the position is completely even,

0:18:52.200 --> 0:18:55.080
<v Speaker 1>you trust it without without a second thought. Whereas in

0:18:55.080 --> 0:18:57.880
<v Speaker 1>in the early days, UM saying the nineties, for example,

0:18:58.119 --> 0:19:00.680
<v Speaker 1>computers could come up with evaluations were wrong and a

0:19:00.800 --> 0:19:03.600
<v Speaker 1>human would still be right. A human wouldn't know the

0:19:03.720 --> 0:19:07.720
<v Speaker 1>understand the position better, whereas now, UM, that's not the case.

0:19:07.760 --> 0:19:10.400
<v Speaker 1>You just it's just flat out the computer's right, you're wrong.

0:19:10.440 --> 0:19:13.280
<v Speaker 1>You trust what it says, period, end of story. And

0:19:13.320 --> 0:19:16.200
<v Speaker 1>so because of that, Um, one of the main things

0:19:16.280 --> 0:19:18.720
<v Speaker 1>that that has changed is there are a lot of

0:19:18.720 --> 0:19:21.800
<v Speaker 1>positions which in the past you would have thought one side,

0:19:21.840 --> 0:19:24.440
<v Speaker 1>the way they're playing is very unusual, it's dubious, it's

0:19:24.440 --> 0:19:28.639
<v Speaker 1>not quite correct, it's not correct play. And because of computers,

0:19:28.640 --> 0:19:31.200
<v Speaker 1>if you see a position now where there's some strange moves,

0:19:31.520 --> 0:19:34.560
<v Speaker 1>the computer says it's completely fine, and you just you

0:19:34.600 --> 0:19:37.640
<v Speaker 1>believe that it's not. It's not like before, whereas if

0:19:37.680 --> 0:19:40.280
<v Speaker 1>I played some position against a cast brought, for example,

0:19:40.280 --> 0:19:42.560
<v Speaker 1>he would just you know, he would just go, that's

0:19:42.600 --> 0:19:44.399
<v Speaker 1>not good. You don't know what you're doing, your complete

0:19:44.440 --> 0:19:47.760
<v Speaker 1>pots or whereas now because of the computer. Uh, he

0:19:47.800 --> 0:19:50.679
<v Speaker 1>couldn't really say that, because the computer just it understands

0:19:50.760 --> 0:19:53.480
<v Speaker 1>chest so so much better. And basically the main thing

0:19:53.600 --> 0:19:56.280
<v Speaker 1>is that now almost any position in the game of chess,

0:19:56.680 --> 0:19:59.480
<v Speaker 1>if you find the right moves, is probably okay unless

0:19:59.480 --> 0:20:01.800
<v Speaker 1>you're just complete losing. There always are going to be

0:20:02.000 --> 0:20:06.720
<v Speaker 1>defensive resources. So Joe and I have talked about this

0:20:06.840 --> 0:20:09.239
<v Speaker 1>a number of times now. But in markets, you know,

0:20:09.280 --> 0:20:12.639
<v Speaker 1>the rise of machines as well as passive investing has

0:20:13.240 --> 0:20:15.800
<v Speaker 1>I think it's fair to say, given way to a

0:20:16.000 --> 0:20:19.919
<v Speaker 1>sense or maybe an existential crisis for fund managers, like

0:20:20.040 --> 0:20:22.720
<v Speaker 1>there's just a sense that you can never beat the

0:20:22.760 --> 0:20:25.560
<v Speaker 1>market or the machines now. Um So when it comes

0:20:25.600 --> 0:20:31.399
<v Speaker 1>to chess and computers, does the rise of computers just

0:20:31.520 --> 0:20:35.480
<v Speaker 1>make playing chess less fun? Like knowing that a computer

0:20:35.760 --> 0:20:38.840
<v Speaker 1>is all powerful and always has the right decision, does

0:20:38.920 --> 0:20:42.280
<v Speaker 1>that make the game less enjoyable for you? It does

0:20:42.320 --> 0:20:46.000
<v Speaker 1>at times. I think. Another another big thing that's happened

0:20:46.000 --> 0:20:49.440
<v Speaker 1>in chess as you have these huge databases with millions

0:20:49.440 --> 0:20:51.359
<v Speaker 1>and millions of games as well, So it's not just

0:20:51.480 --> 0:20:55.200
<v Speaker 1>the computer analysis, it's also the factory of databases, which

0:20:55.240 --> 0:20:58.160
<v Speaker 1>means that probably the first like ten to fifteen moves

0:20:58.200 --> 0:21:01.080
<v Speaker 1>of every single game, both sides are gonna know exactly

0:21:01.080 --> 0:21:03.240
<v Speaker 1>what they're doing, which means that it's getting deeper and

0:21:03.280 --> 0:21:05.760
<v Speaker 1>deeper where you reach a new position where it's just

0:21:06.600 --> 0:21:08.720
<v Speaker 1>the human is just you know, like I'm playing against

0:21:08.720 --> 0:21:10.760
<v Speaker 1>someone else. It's it's become deeper and deeper in the game.

0:21:10.800 --> 0:21:13.840
<v Speaker 1>That makes it quite a bit less fun at times,

0:21:13.880 --> 0:21:17.080
<v Speaker 1>because because it's just like you, you don't play at

0:21:17.080 --> 0:21:19.920
<v Speaker 1>the start. You you're just repeating whatever the computer says.

0:21:19.960 --> 0:21:23.040
<v Speaker 1>And then uh, somewhere in the early middle game, somewhere

0:21:23.040 --> 0:21:29.360
<v Speaker 1>around like the move in the game, you're you're starting

0:21:29.359 --> 0:21:31.120
<v Speaker 1>to play the game, whereas in the past it might

0:21:31.119 --> 0:21:33.160
<v Speaker 1>have been like the fifth move or the tenth move.

0:21:33.280 --> 0:21:36.200
<v Speaker 1>So it just keeps getting deeper and deeper, and that

0:21:36.200 --> 0:21:38.600
<v Speaker 1>that does take quite a bit of the fun out

0:21:38.640 --> 0:21:41.680
<v Speaker 1>of it because it makes it a lot harder to win.

0:21:41.720 --> 0:21:44.400
<v Speaker 1>But at the same time, um, it's also a challenge,

0:21:44.400 --> 0:21:47.199
<v Speaker 1>and it's it's fun to to try and out prepare

0:21:47.200 --> 0:21:50.159
<v Speaker 1>your opponents, to try and try and just you know,

0:21:50.200 --> 0:21:53.960
<v Speaker 1>outsmart them and beat them, so it cuts both ways.

0:21:54.359 --> 0:21:56.920
<v Speaker 1>So just to clarify what you're saying is you'll play

0:21:57.000 --> 0:22:00.320
<v Speaker 1>games with someone and the first fifteen moves or more

0:22:00.680 --> 0:22:03.280
<v Speaker 1>will be identical to numerous games that have been played,

0:22:04.920 --> 0:22:07.320
<v Speaker 1>and only deeper than that will one of you have

0:22:07.440 --> 0:22:10.920
<v Speaker 1>played a new move that hadn't been played before. So

0:22:11.600 --> 0:22:15.280
<v Speaker 1>in theory, you know, as as a trader, in theory,

0:22:15.320 --> 0:22:17.359
<v Speaker 1>you shouldn't be able to make money trading. I mean

0:22:17.400 --> 0:22:20.840
<v Speaker 1>there's this whole school of thought essentially efficient markets that

0:22:20.960 --> 0:22:25.640
<v Speaker 1>someone trying to do active stock selection or active any

0:22:25.720 --> 0:22:29.000
<v Speaker 1>sort of active trading shouldn't really be doable, that no

0:22:29.040 --> 0:22:32.560
<v Speaker 1>one has any more information or insight or anything, and

0:22:32.600 --> 0:22:34.800
<v Speaker 1>that if you do make money over a period of

0:22:34.840 --> 0:22:38.120
<v Speaker 1>time that it might be luck something like that, And

0:22:38.280 --> 0:22:44.560
<v Speaker 1>with computers being able to research and analyze probabilities so aggressively,

0:22:44.600 --> 0:22:47.440
<v Speaker 1>in theory, it should be even harder than it has

0:22:47.480 --> 0:22:51.000
<v Speaker 1>been in the past to exploit inefficiencies. Why why is

0:22:51.000 --> 0:22:53.840
<v Speaker 1>that an endeavor that you think you can make money in? Um, Well,

0:22:53.880 --> 0:22:55.600
<v Speaker 1>I mean, to be be fair, I do them next.

0:22:55.640 --> 0:22:58.200
<v Speaker 1>So it's not just I'm not a hundred percent trading

0:22:58.240 --> 0:23:01.400
<v Speaker 1>I also do do pass that in a trading component.

0:23:01.880 --> 0:23:04.919
<v Speaker 1>Why do you feel like it's an area that is

0:23:04.920 --> 0:23:09.280
<v Speaker 1>worth your time and worth trying to beat the system?

0:23:09.760 --> 0:23:12.760
<v Speaker 1>I mean I I I enjoy a challenge. I mean,

0:23:12.800 --> 0:23:15.160
<v Speaker 1>to to be frank, I enjoy a challenge. On It's

0:23:15.200 --> 0:23:17.400
<v Speaker 1>quite difficult. It takes a lot of time, a lot

0:23:17.440 --> 0:23:20.399
<v Speaker 1>of a lot of work, and even then you still

0:23:20.440 --> 0:23:22.919
<v Speaker 1>aren't always going to be right. Um. I mean I

0:23:22.960 --> 0:23:26.000
<v Speaker 1>wasn't right this morning on caterpillar for example. But um,

0:23:26.560 --> 0:23:29.840
<v Speaker 1>but but in general, uh, you know, I think, um,

0:23:30.040 --> 0:23:33.000
<v Speaker 1>I really, I really enjoy the process. So maybe over

0:23:33.040 --> 0:23:35.200
<v Speaker 1>the long run it's not going to pan out, But

0:23:35.280 --> 0:23:37.879
<v Speaker 1>but I enjoy the process, and I've been successful in

0:23:37.920 --> 0:23:43.080
<v Speaker 1>the past year. Wait, what was your caterpillar trade? Oh?

0:23:43.119 --> 0:23:46.240
<v Speaker 1>I was for some reason, I was expecting, uh, expecting

0:23:46.240 --> 0:23:48.800
<v Speaker 1>them to go down. I did a put spread on them.

0:23:48.840 --> 0:23:51.800
<v Speaker 1>I was expecting, uh, because of the commodity prices for

0:23:51.840 --> 0:23:55.760
<v Speaker 1>them to not uh not report and the and the

0:23:55.800 --> 0:23:57.800
<v Speaker 1>stock for what it's worth is up about six and

0:23:57.840 --> 0:24:01.199
<v Speaker 1>a half percent. You know, I'm letting our viewers now,

0:24:01.240 --> 0:24:03.560
<v Speaker 1>I know you you probably are feeling the pain of

0:24:03.600 --> 0:24:05.520
<v Speaker 1>that trade today. I just want to you know, but

0:24:05.560 --> 0:24:08.240
<v Speaker 1>another thing also, uh, you know, like there's a there's

0:24:08.240 --> 0:24:10.439
<v Speaker 1>another trade, for example, which I'm not doing well in,

0:24:10.440 --> 0:24:14.159
<v Speaker 1>which is Tesla. But I think one thing that that

0:24:14.240 --> 0:24:16.280
<v Speaker 1>I also enjoy is because I'm just a you know,

0:24:16.440 --> 0:24:21.080
<v Speaker 1>a retail UH investor, is that through traveling around a lot,

0:24:21.080 --> 0:24:23.880
<v Speaker 1>I get to have a different perspective on certain things.

0:24:23.880 --> 0:24:27.600
<v Speaker 1>You know. It's like, um, everyone says Tesla's UH is

0:24:27.640 --> 0:24:30.479
<v Speaker 1>overvalued right now, and I think I think it is.

0:24:30.520 --> 0:24:32.560
<v Speaker 1>But for example, I was in Italy last week, and

0:24:32.600 --> 0:24:34.720
<v Speaker 1>I was in southern Italy, no less, and I was

0:24:34.720 --> 0:24:37.600
<v Speaker 1>really surprised to see that on the weekend down town

0:24:37.640 --> 0:24:40.159
<v Speaker 1>there was there was some some sort of exhibition. It

0:24:40.240 --> 0:24:43.000
<v Speaker 1>was for electric cars. And I think that when you

0:24:43.040 --> 0:24:45.800
<v Speaker 1>see things like that, it also it also it changes

0:24:45.840 --> 0:24:48.879
<v Speaker 1>the perspective a little bit. You don't have the standard

0:24:48.960 --> 0:24:50.760
<v Speaker 1>standard view like I would if I'm just here when

0:24:50.800 --> 0:24:53.080
<v Speaker 1>I actually get out and I see certain things, um

0:24:53.119 --> 0:24:56.159
<v Speaker 1>like that or unfortunately things like in retail where you

0:24:56.200 --> 0:24:59.240
<v Speaker 1>go to malls and you see, uh, nobody, nobody there.

0:24:59.280 --> 0:25:03.000
<v Speaker 1>I mean, I think I also find that to be

0:25:03.440 --> 0:25:05.920
<v Speaker 1>one of the advantages as well of just being being

0:25:05.960 --> 0:25:07.960
<v Speaker 1>who I am, traveling around a lot, I get a

0:25:07.960 --> 0:25:10.040
<v Speaker 1>lot of different perspectives and I think that does help

0:25:10.080 --> 0:25:12.840
<v Speaker 1>me with trading. Tracy and I were in a Hong

0:25:12.920 --> 0:25:15.840
<v Speaker 1>Kong a little over a year ago, and I remember

0:25:15.880 --> 0:25:18.520
<v Speaker 1>being pretty stunned by how many Tesla's were on the road.

0:25:18.560 --> 0:25:20.200
<v Speaker 1>So I know what you mean in terms of getting

0:25:20.200 --> 0:25:22.720
<v Speaker 1>out and being uh, you know, having feeling like you

0:25:22.720 --> 0:25:25.280
<v Speaker 1>have a new piece of information that you didn't have before. Yeah,

0:25:25.320 --> 0:25:27.400
<v Speaker 1>I mean, because I think it's like I've traveled around

0:25:27.400 --> 0:25:29.240
<v Speaker 1>the US a lot, but I mean, if you go

0:25:29.359 --> 0:25:31.399
<v Speaker 1>to somewhere in the middle of the country, I mean,

0:25:31.480 --> 0:25:33.120
<v Speaker 1>one place where I've spent a fair amount of time

0:25:33.119 --> 0:25:35.720
<v Speaker 1>would be St. Louis, I mean, you don't see Tesla's.

0:25:35.760 --> 0:25:37.400
<v Speaker 1>I don't think I've seen a single Tesla when I've

0:25:37.400 --> 0:25:39.480
<v Speaker 1>been out there. I've seen Tesla's, you know, I'll see

0:25:39.520 --> 0:25:41.760
<v Speaker 1>them in New York or San Francisco or Florida, but

0:25:42.000 --> 0:25:44.280
<v Speaker 1>never in the middle of the country, despite traveling around

0:25:44.320 --> 0:25:47.160
<v Speaker 1>a lot. So it's I think, uh, it's it's quite

0:25:47.280 --> 0:25:50.800
<v Speaker 1>nice to have that extra perspective, that extra viewpoint for um,

0:25:50.880 --> 0:25:54.280
<v Speaker 1>for for making possible trades. Yeah, I think research and

0:25:54.440 --> 0:25:59.720
<v Speaker 1>data is clearly of growing importance for trading and investing.

0:26:00.040 --> 0:26:02.800
<v Speaker 1>And Joe and I we've talked about this on the

0:26:02.800 --> 0:26:05.080
<v Speaker 1>show before as well. But this idea that we have

0:26:05.640 --> 0:26:09.320
<v Speaker 1>news sources of proprietary data now like you know, you

0:26:09.359 --> 0:26:12.080
<v Speaker 1>have hedge funds that have access to satellite data that

0:26:12.240 --> 0:26:16.760
<v Speaker 1>shows which factories in China are manufacturing a lot, and

0:26:16.880 --> 0:26:20.680
<v Speaker 1>that kind of throws up some questions about data inequality

0:26:20.880 --> 0:26:24.880
<v Speaker 1>in the market. I'm just wondering when it comes to chess.

0:26:25.600 --> 0:26:27.880
<v Speaker 1>You mentioned the idea that you know, you have these

0:26:27.920 --> 0:26:32.199
<v Speaker 1>big databases that show all the moves in thousands and

0:26:32.280 --> 0:26:36.119
<v Speaker 1>thousands of various games of chess. Do certain people have

0:26:36.440 --> 0:26:42.119
<v Speaker 1>better databases or better computational power when it comes to that, Uh,

0:26:42.200 --> 0:26:45.480
<v Speaker 1>In terms of database is known. In terms of computational power,

0:26:45.680 --> 0:26:48.880
<v Speaker 1>certainly there there is a difference because some people will

0:26:48.920 --> 0:26:51.520
<v Speaker 1>spend some extra money and go out and buy supercomputers

0:26:51.640 --> 0:26:55.000
<v Speaker 1>or just have clusters of various computers altogether. Um, And

0:26:55.280 --> 0:26:57.400
<v Speaker 1>I think when I say that not, I would say

0:26:57.440 --> 0:27:00.360
<v Speaker 1>not all the top players have that. So there there

0:27:00.400 --> 0:27:05.040
<v Speaker 1>are some computational advantages if if you, you know, spend

0:27:05.040 --> 0:27:10.240
<v Speaker 1>the money. Obviously, this whole debate about humans versus computers

0:27:10.400 --> 0:27:15.000
<v Speaker 1>or computers augmenting the ability of humans is it has

0:27:15.119 --> 0:27:19.080
<v Speaker 1>much broader macro implications for the economy. This is an

0:27:19.200 --> 0:27:22.520
<v Speaker 1>endless source of debate about whether humans will have any

0:27:22.600 --> 0:27:24.960
<v Speaker 1>jobs to do, or whether there will be a few

0:27:24.960 --> 0:27:27.639
<v Speaker 1>people with jobs programming computers and the rest of us

0:27:27.640 --> 0:27:30.640
<v Speaker 1>will be unemployed and living on a drip of soilent

0:27:30.920 --> 0:27:34.560
<v Speaker 1>and basic income check or something like that. I'm curious,

0:27:34.840 --> 0:27:39.440
<v Speaker 1>you know, you whether through the chess experience, because I

0:27:39.480 --> 0:27:42.920
<v Speaker 1>think in chess there's two things. There's man versus computer chess,

0:27:42.920 --> 0:27:46.919
<v Speaker 1>but also chess or computers. As you've said, aiding your play,

0:27:47.280 --> 0:27:50.720
<v Speaker 1>whether you have some perspective on where you see sort

0:27:50.760 --> 0:27:54.359
<v Speaker 1>of the future of work and the future of human ingenuity. Well,

0:27:54.359 --> 0:27:57.200
<v Speaker 1>the first thing that I'm gonna say is actually on Chustell.

0:27:57.359 --> 0:28:00.320
<v Speaker 1>One of the really weird things is that when humans

0:28:00.359 --> 0:28:02.800
<v Speaker 1>play against humans most games and in a draw, it's

0:28:02.840 --> 0:28:05.959
<v Speaker 1>something like six of games and in a draw. But

0:28:06.359 --> 0:28:09.560
<v Speaker 1>when you have computer programs playing against each other, there

0:28:09.560 --> 0:28:11.960
<v Speaker 1>are a lot less draws. Most of the games are decisive,

0:28:12.000 --> 0:28:15.680
<v Speaker 1>which should not make any sense whatsoever, because you figure

0:28:15.720 --> 0:28:18.440
<v Speaker 1>the computers. Again, what is the difference between one computer

0:28:18.480 --> 0:28:21.800
<v Speaker 1>and another computer? Um, And I'm not a computer guy,

0:28:21.840 --> 0:28:24.240
<v Speaker 1>so I can't really explain it. But It's kind of

0:28:24.240 --> 0:28:26.160
<v Speaker 1>amazing when you think about it. That like when two

0:28:26.200 --> 0:28:28.800
<v Speaker 1>computers that should be the same same computational power and

0:28:28.840 --> 0:28:32.639
<v Speaker 1>ability they play, one computer wins, which I think bodes

0:28:32.760 --> 0:28:35.240
<v Speaker 1>very well for the future of chess UM in general.

0:28:35.440 --> 0:28:39.400
<v Speaker 1>But us as far as the world UM, I don't know.

0:28:39.440 --> 0:28:43.160
<v Speaker 1>It's it's hard to say because UM. I actually was

0:28:43.160 --> 0:28:45.640
<v Speaker 1>was down in Florida recently. UM and there's this this

0:28:45.720 --> 0:28:49.120
<v Speaker 1>I T company which builds UM builds various platforms through

0:28:49.160 --> 0:28:54.560
<v Speaker 1>AI UM and using bit bit chain technology. And uh,

0:28:54.640 --> 0:28:57.800
<v Speaker 1>certainly jobs are going to disappear with AI going forward.

0:28:58.000 --> 0:29:00.400
<v Speaker 1>But at the same time, you also need people to

0:29:00.440 --> 0:29:04.360
<v Speaker 1>train and build build these platforms and and and everything.

0:29:04.480 --> 0:29:07.000
<v Speaker 1>And uh, like when I was in Florida, there were

0:29:07.000 --> 0:29:08.600
<v Speaker 1>a lot of a lot of kids coming straight out

0:29:08.640 --> 0:29:11.440
<v Speaker 1>of college who are doing this. So I think jobs

0:29:11.440 --> 0:29:13.880
<v Speaker 1>are certainly going to disappear. I don't know if it's

0:29:14.160 --> 0:29:16.160
<v Speaker 1>the end of the world, but I mean, I think

0:29:16.640 --> 0:29:19.080
<v Speaker 1>going forward, there will probably have to be some sort

0:29:19.120 --> 0:29:23.360
<v Speaker 1>of a shift in terms of jobs, job skills and

0:29:23.200 --> 0:29:26.320
<v Speaker 1>and all that, because certain jobs like I think being

0:29:26.320 --> 0:29:29.440
<v Speaker 1>a mechanic for example, UM are just gonna simply vanish

0:29:29.760 --> 0:29:32.600
<v Speaker 1>over the next ten to fifteen years. It's really odd

0:29:32.640 --> 0:29:37.280
<v Speaker 1>that games played between computers are more decisive than games

0:29:37.280 --> 0:29:39.880
<v Speaker 1>played between humans. But on some level, I guess if

0:29:39.920 --> 0:29:43.560
<v Speaker 1>you're a chess spectator, that would be more desirable, right, Like,

0:29:44.000 --> 0:29:45.960
<v Speaker 1>would you ever get a situation where we all go

0:29:46.040 --> 0:29:48.680
<v Speaker 1>to chess tournaments and we just watch one robot play

0:29:48.720 --> 0:29:53.520
<v Speaker 1>another robot? Um? I I don't know. Maybe if that happens,

0:29:53.520 --> 0:29:56.280
<v Speaker 1>I'm not gonna be playing chess a better better just

0:29:56.400 --> 0:30:00.280
<v Speaker 1>to do something else all the time. Um, But yeah,

0:30:00.320 --> 0:30:02.160
<v Speaker 1>I think you know that that that's actually a big,

0:30:02.200 --> 0:30:05.120
<v Speaker 1>big problem with chess, for example, is because the the

0:30:05.240 --> 0:30:07.600
<v Speaker 1>database has become so so good in the players have

0:30:07.640 --> 0:30:10.040
<v Speaker 1>also just become so good through learning from the computers.

0:30:10.280 --> 0:30:13.280
<v Speaker 1>The margin of difference is so small that most games

0:30:13.280 --> 0:30:16.040
<v Speaker 1>do end and draws, and for spectators that's not exciting

0:30:16.080 --> 0:30:18.920
<v Speaker 1>at all. Um. So there have to be some changes

0:30:18.960 --> 0:30:20.680
<v Speaker 1>in chess, and I think it's a it's if you

0:30:20.720 --> 0:30:22.680
<v Speaker 1>look at it, that's, you know, a microcosm of the

0:30:22.920 --> 0:30:25.720
<v Speaker 1>bigger picture as well. Do you ever worry that? Like,

0:30:25.880 --> 0:30:28.320
<v Speaker 1>so there's one At one point when people thought the

0:30:28.400 --> 0:30:31.680
<v Speaker 1>chess that computers would never be able to compete with humans.

0:30:32.040 --> 0:30:35.280
<v Speaker 1>There was obviously this view that there was something in chess,

0:30:35.360 --> 0:30:37.560
<v Speaker 1>or there's something in poker or any of these other

0:30:37.640 --> 0:30:42.000
<v Speaker 1>games that required an intuitive, creative element that could never

0:30:42.040 --> 0:30:45.480
<v Speaker 1>be programmed into the computer. And then of course computers

0:30:45.520 --> 0:30:48.239
<v Speaker 1>don't have any creativity or intuition, but they do have

0:30:48.360 --> 0:30:51.640
<v Speaker 1>raw calculation power, and it turns out that that's enough

0:30:51.680 --> 0:30:54.040
<v Speaker 1>to make them really good at chess. Do you ever

0:30:54.080 --> 0:30:57.200
<v Speaker 1>worry there's like something unromantic about it, in the sense

0:30:57.280 --> 0:31:00.880
<v Speaker 1>that it turns out that sort of intuition and creativity

0:31:01.000 --> 0:31:03.400
<v Speaker 1>and these sort of skills that we think of as

0:31:03.560 --> 0:31:07.600
<v Speaker 1>innately human maybe aren't worth very much. Yeah. I think

0:31:07.680 --> 0:31:10.040
<v Speaker 1>it's it's a little bit depressing, you know. For me actually,

0:31:10.360 --> 0:31:12.640
<v Speaker 1>like Caspar Lost a Deep Blue, it was already I

0:31:12.640 --> 0:31:14.880
<v Speaker 1>think probably twenty years ago now, so I think there's

0:31:14.960 --> 0:31:17.160
<v Speaker 1>ninety six, wasn't it. It was? Yeah, I remember being

0:31:17.160 --> 0:31:19.400
<v Speaker 1>there and like at that point, like we had started

0:31:19.440 --> 0:31:21.160
<v Speaker 1>to accept the computers are better, and like for me

0:31:21.240 --> 0:31:24.360
<v Speaker 1>it was it was so bizarre. Um. Actually, another speaking

0:31:24.400 --> 0:31:27.640
<v Speaker 1>of another game was go where Uh it was it's,

0:31:27.680 --> 0:31:30.440
<v Speaker 1>you know, it's more difficult than chess. You can't compute it.

0:31:30.840 --> 0:31:33.720
<v Speaker 1>And then then like you have this computer just destroy

0:31:33.880 --> 0:31:36.640
<v Speaker 1>this world champion. It was just like this whole weird

0:31:36.680 --> 0:31:40.320
<v Speaker 1>flashback to to what happened like twenty years ago. Um

0:31:40.960 --> 0:31:44.600
<v Speaker 1>so I think in a way it's sad, but um

0:31:44.640 --> 0:31:48.640
<v Speaker 1>if we can still learn from computers and uh become

0:31:48.720 --> 0:31:51.200
<v Speaker 1>better at various skills, and I don't think it's all

0:31:51.240 --> 0:31:54.880
<v Speaker 1>all for not. I have one question, which is, if

0:31:54.960 --> 0:31:58.760
<v Speaker 1>you are a human, what's your what's your number one

0:31:59.160 --> 0:32:02.280
<v Speaker 1>tip for someone with a very basic knowledge of chess

0:32:02.360 --> 0:32:06.160
<v Speaker 1>who is very tired of constantly losing. Just pick up

0:32:06.160 --> 0:32:09.240
<v Speaker 1>a book or go online and find some some some

0:32:09.240 --> 0:32:11.640
<v Speaker 1>some quick tactics, like some tactics in the first like

0:32:11.680 --> 0:32:15.160
<v Speaker 1>five moves of the games, some basic tactical sequences, just tricks,

0:32:15.280 --> 0:32:19.200
<v Speaker 1>play for trucks, all right, I have to I have

0:32:19.320 --> 0:32:22.240
<v Speaker 1>two final questions. Uh. The first one is very closely

0:32:22.280 --> 0:32:26.160
<v Speaker 1>related to tracies. I have a thirteen month old daughter,

0:32:26.440 --> 0:32:29.000
<v Speaker 1>and I want her to be the next car Nakamura.

0:32:29.120 --> 0:32:32.280
<v Speaker 1>Of course, what's the how would you you know? I'm

0:32:32.320 --> 0:32:34.440
<v Speaker 1>not just looking for technical tricks, but I want to

0:32:34.840 --> 0:32:37.200
<v Speaker 1>turn her into a great chess player one day if

0:32:37.240 --> 0:32:39.360
<v Speaker 1>she wants to be. What's the best way to uh

0:32:39.480 --> 0:32:43.560
<v Speaker 1>start training her? Well, nowadays it's it's so easy, um.

0:32:43.600 --> 0:32:46.520
<v Speaker 1>I mean just going online and on any of the

0:32:46.600 --> 0:32:50.560
<v Speaker 1>various chess sites, just just studying tactical sequences um or

0:32:50.600 --> 0:32:52.880
<v Speaker 1>just looking at various games. I mean, there's so much

0:32:52.920 --> 0:32:55.320
<v Speaker 1>information out there that it's not hard to get started,

0:32:55.480 --> 0:32:57.760
<v Speaker 1>um by by any means. As I said before, there

0:32:57.760 --> 0:32:59.880
<v Speaker 1>are a few a few different chess sites like chest

0:33:00.000 --> 0:33:01.800
<v Speaker 1>dot com. I think it is probably the main one

0:33:01.840 --> 0:33:04.320
<v Speaker 1>where you can just go get a free account and uh,

0:33:04.440 --> 0:33:06.640
<v Speaker 1>look at games or do some tactics and and that's

0:33:06.680 --> 0:33:09.000
<v Speaker 1>the easiest way to get started. All right, I'll sit

0:33:09.040 --> 0:33:11.200
<v Speaker 1>here in front of the computer today and this show

0:33:11.560 --> 0:33:14.040
<v Speaker 1>you know longer with the chess dot com account by

0:33:14.080 --> 0:33:17.520
<v Speaker 1>your one year older book. Yeah, I was gonna say that.

0:33:17.640 --> 0:33:19.560
<v Speaker 1>That's another thing, is like when I became grand master

0:33:19.640 --> 0:33:22.200
<v Speaker 1>at fifteen, that was a big deal. That was quite

0:33:22.280 --> 0:33:24.840
<v Speaker 1>young at the time. But nowadays they're there are kids

0:33:24.840 --> 0:33:27.800
<v Speaker 1>who are becoming grand masters at uh twelve or thirteen.

0:33:28.160 --> 0:33:30.800
<v Speaker 1>So it just keeps getting younger and younger and uh

0:33:30.920 --> 0:33:33.200
<v Speaker 1>and and again who knows where that's going to lead

0:33:33.200 --> 0:33:35.800
<v Speaker 1>as well? I have one other question. So I used

0:33:35.840 --> 0:33:38.120
<v Speaker 1>to be I'm not very good at chess, but I

0:33:38.160 --> 0:33:39.880
<v Speaker 1>used to play a lot when I was in college,

0:33:40.440 --> 0:33:43.200
<v Speaker 1>and that was I graduate in two thousand and two,

0:33:43.320 --> 0:33:46.560
<v Speaker 1>so you're probably like early teens at that point. And

0:33:46.600 --> 0:33:48.360
<v Speaker 1>my friends and I who played, we were aware of you.

0:33:48.520 --> 0:33:51.360
<v Speaker 1>So it's very exciting because we knew about this young guy,

0:33:51.480 --> 0:33:53.840
<v Speaker 1>Kara Nakamura was becoming one of the best in the world.

0:33:53.920 --> 0:33:56.200
<v Speaker 1>And I yesterday I texted a friend and I said, oh,

0:33:56.240 --> 0:33:59.080
<v Speaker 1>we have Nackamara on the podcast, and he was really excited.

0:33:59.160 --> 0:34:01.120
<v Speaker 1>But he wants to know you have a prediction for

0:34:01.160 --> 0:34:04.480
<v Speaker 1>the two thousand eighteen Chess Olympiad because I know the

0:34:04.600 --> 0:34:08.600
<v Speaker 1>US one in its pretty extraordinary. That was in Buku

0:34:08.680 --> 0:34:13.239
<v Speaker 1>and Azerbaijan. How's it looking for we? We should be

0:34:13.280 --> 0:34:16.960
<v Speaker 1>the favorites. Uh, I mean, the one thing I will

0:34:16.960 --> 0:34:19.120
<v Speaker 1>say is it felt way too easy winning this last

0:34:19.160 --> 0:34:21.960
<v Speaker 1>time in Azerbaijan, So there's there's some kind of, uh,

0:34:22.880 --> 0:34:25.080
<v Speaker 1>there's this weird feeling that like somehow if we do

0:34:25.160 --> 0:34:26.839
<v Speaker 1>when it's not going to be as easy as it was.

0:34:26.920 --> 0:34:30.400
<v Speaker 1>So I think we're we're probably the favorites. But uh,

0:34:30.520 --> 0:34:32.239
<v Speaker 1>it's also Russia, I would say, one of the two,

0:34:32.480 --> 0:34:36.960
<v Speaker 1>one of the classic the classic countries, and again exactly alright,

0:34:37.040 --> 0:34:39.960
<v Speaker 1>Hakaro knackermar thank you so much. Been a great pleasure

0:34:40.040 --> 0:34:41.920
<v Speaker 1>to chat with you, and thanks for coming on the

0:34:41.920 --> 0:34:55.600
<v Speaker 1>Odd Lots podcast. Problem. So, Tracy, I'm not gonna lie.

0:34:55.719 --> 0:34:58.480
<v Speaker 1>I really enjoyed that it totally lived up to the hype,

0:34:58.640 --> 0:35:01.640
<v Speaker 1>as I said at the end, and I've been following

0:35:01.680 --> 0:35:04.000
<v Speaker 1>her Car's I have have been aware of her Car's career

0:35:04.080 --> 0:35:06.840
<v Speaker 1>for like fifteen years now, and so it's pretty thrilling

0:35:06.880 --> 0:35:09.839
<v Speaker 1>to get to chat with him. You know, I'm just

0:35:10.000 --> 0:35:13.319
<v Speaker 1>reading the Wikipedia entry again and it sends it says

0:35:13.400 --> 0:35:16.640
<v Speaker 1>that he is sometimes nicknamed the h bomb because of

0:35:16.719 --> 0:35:20.800
<v Speaker 1>his explosive style of playing. Do you know what that means?

0:35:22.040 --> 0:35:27.520
<v Speaker 1>I imagine it's aggressively, aggressively tactical and stuff. But he's

0:35:27.520 --> 0:35:29.520
<v Speaker 1>still here real quickly, her Carl, what what does that?

0:35:29.760 --> 0:35:32.319
<v Speaker 1>Where's that nickname come from? Yeah, it's it's just it's

0:35:32.320 --> 0:35:34.440
<v Speaker 1>just being a very aggressive player, trying to win every

0:35:34.480 --> 0:35:36.319
<v Speaker 1>game at all costs, from from when I was a

0:35:36.320 --> 0:35:39.120
<v Speaker 1>bit younger. Well, I'm lead up. We got to get

0:35:39.160 --> 0:35:41.799
<v Speaker 1>an answer to that, no, And I really sort of

0:35:41.920 --> 0:35:45.440
<v Speaker 1>appreciated the perspective. I mean, you know, we sort of

0:35:45.640 --> 0:35:50.880
<v Speaker 1>talk about this eternal sort of epic battle of humans

0:35:51.040 --> 0:35:54.040
<v Speaker 1>versus computers and robots, and we sort of act like it's, uh,

0:35:54.560 --> 0:35:57.520
<v Speaker 1>like there's this zero sum element and one is going

0:35:57.560 --> 0:35:59.680
<v Speaker 1>to win out. But I like this idea that, yeah,

0:35:59.680 --> 0:36:02.160
<v Speaker 1>there is of that, but then there's also this way

0:36:02.200 --> 0:36:06.000
<v Speaker 1>in which computers make humans way better at doing human tasks,

0:36:06.080 --> 0:36:09.719
<v Speaker 1>like being able to play a much more advanced game

0:36:09.719 --> 0:36:12.200
<v Speaker 1>of chess, or being able to learn chess at a

0:36:12.280 --> 0:36:15.280
<v Speaker 1>much earlier age, and now they're all these young grand masters.

0:36:15.320 --> 0:36:18.759
<v Speaker 1>So kind of gave me an optimistic, kind of optimistic

0:36:18.800 --> 0:36:23.279
<v Speaker 1>on that. Really I don't know, so, I mean I

0:36:23.640 --> 0:36:26.040
<v Speaker 1>just kind of see like chess in some respects is

0:36:26.120 --> 0:36:30.399
<v Speaker 1>kind of at the forefront of the man versus machine argument, right,

0:36:30.440 --> 0:36:34.840
<v Speaker 1>and like, yes, yes, people can use computers to augment

0:36:35.160 --> 0:36:40.480
<v Speaker 1>their own performance, but ultimately, when humans are pitted against computers,

0:36:40.560 --> 0:36:44.160
<v Speaker 1>the computers are the ones that went out. And I mean,

0:36:44.160 --> 0:36:46.799
<v Speaker 1>just going back to my experience, I get really frustrated

0:36:46.840 --> 0:36:49.400
<v Speaker 1>with the game because I never ever win. And so

0:36:49.480 --> 0:36:52.720
<v Speaker 1>I wonder, if you're a human constantly competing against a machine,

0:36:52.840 --> 0:36:56.560
<v Speaker 1>if eventually you just give up, you know, you should

0:36:57.200 --> 0:37:01.239
<v Speaker 1>really buy a booker. I'm sure you're not that you

0:37:01.239 --> 0:37:05.080
<v Speaker 1>could find some local grandmasters to teach you probably you know,

0:37:05.560 --> 0:37:10.120
<v Speaker 1>you know, actually try to improve it the game, yes, okay,

0:37:10.200 --> 0:37:12.759
<v Speaker 1>I I will try maybe, And I will say one

0:37:12.800 --> 0:37:15.400
<v Speaker 1>other thing is frustrating, is it It might be to

0:37:15.480 --> 0:37:18.719
<v Speaker 1>lose every game. There's nothing more boring than winning every game.

0:37:18.760 --> 0:37:21.600
<v Speaker 1>So you're actually, I think you're getting on the You're

0:37:21.680 --> 0:37:24.360
<v Speaker 1>you're on the right side of the equation. Is that

0:37:24.440 --> 0:37:27.320
<v Speaker 1>how the computers feel? You think they're like, oh my god,

0:37:27.360 --> 0:37:32.080
<v Speaker 1>I've just won another game. They probably are on that note.

0:37:32.400 --> 0:37:35.920
<v Speaker 1>This has been another episode of the Odd Lots podcast.

0:37:36.000 --> 0:37:38.520
<v Speaker 1>I'm Joe Wisn't Thal. You can follow me on Twitter

0:37:38.640 --> 0:37:41.600
<v Speaker 1>at the Stalwart, and I'm Tracy Alloway. I'm on Twitter

0:37:41.680 --> 0:37:45.240
<v Speaker 1>at Tracy Alloway. And you can follow Hakaru on Twitter

0:37:45.560 --> 0:37:48.200
<v Speaker 1>at GM Hakaru, where you can see all of his

0:37:48.360 --> 0:37:50.560
<v Speaker 1>uh later. I don't know about all of them, but

0:37:50.680 --> 0:37:54.480
<v Speaker 1>his chest exploits and many of his options trades, including

0:37:54.600 --> 0:37:58.520
<v Speaker 1>a recent trade on Young China that apparently worked out

0:37:58.560 --> 0:38:13.799
<v Speaker 1>pretty well. So thanks for listening. Put knowledge to work

0:38:13.840 --> 0:38:17.040
<v Speaker 1>and grow your business with c i T. From transportation

0:38:17.200 --> 0:38:21.320
<v Speaker 1>to healthcare to manufacturing. C i T offers commercial lending, leasing,

0:38:21.400 --> 0:38:25.080
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0:38:25.280 --> 0:38:27.920
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0:38:27.960 --> 0:38:28.400
<v Speaker 1>to work