WEBVTT - What Claude Shannon Figured Out

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<v Speaker 1>Pushkin.

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<v Speaker 2>Hey, Happy New Year. We're very happy to be back,

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<v Speaker 2>I'm going to read all the emails, so thank you

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<v Speaker 2>in advance for sending them. Claude Shannon is this huge

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<v Speaker 2>figure in the history of technology. He's one of the

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<v Speaker 2>key people who worked at Bell Labs in the middle

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<v Speaker 2>of the twentieth century and really came up with the

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<v Speaker 2>idea that made modern technology possible. But I'm going to

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<v Speaker 2>be honest with you, I never really understood what Claude

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<v Speaker 2>Shannon figured out that was such a big deal. But

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<v Speaker 2>the people who know about technology, who know about the

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<v Speaker 2>history of ideas, they say Shannon's a giant. Claude Shannon

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<v Speaker 2>is like the nerds. Nerd he's the techno intellectuals, techno

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<v Speaker 2>intellectual and so For today's show, I wanted to understand

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<v Speaker 2>what did Claude Shannon figure out and why is it

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<v Speaker 2>so important.

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<v Speaker 1>For the modern world.

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<v Speaker 2>I'm Jacob Goldstein, and this is What's your problem. My

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<v Speaker 2>guest today is David Shay. David is a professor of

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<v Speaker 2>electrical engineering at Stanford. He has studied Shannon for decades.

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<v Speaker 2>He teaches Shannon's work to his students, and David used

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<v Speaker 2>Shannon's work to make a breakthrough in cell phone technology.

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<v Speaker 2>And that breakthrough, that breakthrough that came to us via

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<v Speaker 2>Shannon and Shay, it affects every phone call we make.

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<v Speaker 2>David and I talked about Shannon's key insights and about

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<v Speaker 2>how David's own work built on Shannon, and we also

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<v Speaker 2>talked about the big chunk of Shannon's life that was

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<v Speaker 2>taken up with juggling and riding unicycles and building mechanical toys.

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<v Speaker 2>But to start, we talked about how in the middle

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<v Speaker 2>of the twentieth century, Bell Labs wound up driving so

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<v Speaker 2>much technological innovation.

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<v Speaker 1>Yeah, so Bell Labs was the research lab of AT

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<v Speaker 1>and T. Aightenh at that time was the phone company. Okay,

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<v Speaker 1>nowadays we have many phone companies. We have Verizon, we

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<v Speaker 1>have T Mobile, et cetera. But those days there was

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<v Speaker 1>only one phone company, and that's a monopoly. So a

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<v Speaker 1>monopoly needs to justify its existence.

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<v Speaker 2>Huh. So it doesn't get broken by the government.

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<v Speaker 1>It doesn't get broken up. Of course, it eventually got

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<v Speaker 1>broken up, but at that time it was a monopoly.

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<v Speaker 1>And so one way of justifying its existence is to

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<v Speaker 1>say that. Okay, he says to the American people, to

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<v Speaker 1>the government, that we will always spend a certain percent

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<v Speaker 1>of our revenue on this research lab called bow Labs,

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<v Speaker 1>and whatever bow Labs come up with is kind of

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<v Speaker 1>our contribution, know only to our bottom line, but also

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<v Speaker 1>to technology of the country.

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<v Speaker 2>So they have this sort of public mission to prevent

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<v Speaker 2>the government from breaking them up.

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<v Speaker 1>Yeah, and so therefore it also allows researchers a very

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<v Speaker 1>free reign to do research that not necessarily tied to,

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<v Speaker 1>like say, a particular business unit. Okay, So they can

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<v Speaker 1>be very creative. And that's the atmosphere about so bad

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<v Speaker 1>Labs attracted a bunch of very smart people because smart

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<v Speaker 1>people wants to work on their own problem, not the

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<v Speaker 1>problem that the manager gives them. Yeah, okay, that's the

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<v Speaker 1>that's one characteristic of smart people. And so yeah, that

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<v Speaker 1>was the heydays of Bat Labs. Lots of smart people

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<v Speaker 1>inventing amazing stuff. Laser was invented there, information theory, the

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<v Speaker 1>transistor was invented there. Sort of almost all the foundation

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<v Speaker 1>of the information age. Yeah, where there's hardware, algorithm, software

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<v Speaker 1>is in some sense all have the roots at Ball Labs.

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<v Speaker 1>So that was the contribution to mankind. Actually, I should say, no,

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<v Speaker 1>only to America.

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<v Speaker 2>So Shannon gets there at this time, right, he's there

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<v Speaker 2>with you know, when they're inventing certainly the transistor.

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<v Speaker 1>What's he do?

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<v Speaker 2>Tell me about his his work there? When he gets there,

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<v Speaker 2>what's he working on?

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<v Speaker 1>Yeah? So I think Shannon always have his own agenda, right.

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<v Speaker 1>We know for a fact that he has been interested

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<v Speaker 1>in the problem of communication, that idea of having a

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<v Speaker 1>grand theory of communication, even back in nineteen thirty eight,

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<v Speaker 1>I think thirty seven thirty eight, because he wrote a

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<v Speaker 1>letter at that time to a very famous person named

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<v Speaker 1>Venera Bush. Yeah. Vera Bush is very famous, as he

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<v Speaker 1>was I think president of MIT or dean of MIT,

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<v Speaker 1>and then he became sort of a scientific advisor to

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<v Speaker 1>the president, and so he wrote a letter to Venera

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<v Speaker 1>Bush in nineteen thirty eight and say, hey, you know what,

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<v Speaker 1>I'm really interested in this question of how to find

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<v Speaker 1>one theory that unifies all possible communication systems. There's so

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<v Speaker 1>many different communications system out there, but I think there's

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<v Speaker 1>something at the heart of every system, and I'm trying

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<v Speaker 1>to get to the heart.

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<v Speaker 2>And like nobody had thought of it in that way, right.

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<v Speaker 2>It seems like part of his part of what Shannon's

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<v Speaker 2>such a big deal is like as I understand that

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<v Speaker 2>people it was like, you know that people understood like

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<v Speaker 2>they were trying to figure out how to make the

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<v Speaker 2>phone work better, and they were trying to, you know,

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<v Speaker 2>make movies be clearer or whatever. But there wasn't this

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<v Speaker 2>idea that you could abstract it until Shannon came along.

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<v Speaker 1>And the reason is very simple, actually, because if you

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<v Speaker 1>have a physical system, then you want to build right

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<v Speaker 1>what do you see right? You say, hey man the

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<v Speaker 1>video for example, i'm seeing you right now, I'm not

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<v Speaker 1>seeing you very clearly, have to say yes.

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<v Speaker 2>I'm in a closet, a closet.

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<v Speaker 1>Right Then I would say, how to try to improve

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<v Speaker 1>the imbage? Maybe I can try to, you know, fix

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<v Speaker 1>this pixel or do some filtering of your noise. So

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<v Speaker 1>I'm very tied to the very specific details of the

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<v Speaker 1>specific problem. Because why I'm the engineer. I need to

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<v Speaker 1>improve the system, not in ten years, but tomorrow. You know, tomorrow.

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<v Speaker 2>You don't need a theory of the system. You just

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<v Speaker 2>want to creer picture.

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<v Speaker 1>Yeah, yeah, I mean I'm in the weeds, right, I'm

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<v Speaker 1>in the weeds. And Shannon, because of his training, and

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<v Speaker 1>also because of the atmosphere of a place like bout Labs,

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<v Speaker 1>could afford to st step back and just look at

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<v Speaker 1>the broader forest as opposed to the details of specific trees.

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<v Speaker 2>So so, okay, Shannon's big idea comes out in this

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<v Speaker 2>paper he publishes in nineteen forty eight. The paper is

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<v Speaker 2>called a Mathematical Theory of Communication. It's like his great work.

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<v Speaker 2>Tell me about that paper.

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<v Speaker 1>So that paper is actually a very interesting paper. In fact,

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<v Speaker 1>when I teach information theory, I teach from the paper itself,

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<v Speaker 1>because I thought it's an amazing way not only of

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<v Speaker 1>learning information theory, but learning how to write a scientific

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<v Speaker 1>paper properly. Huh okay. And you know, not everyone does

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<v Speaker 1>research and information theory, but everybody has to write uh

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<v Speaker 1>huh okay. Every researcher has the right to express their

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<v Speaker 1>ideas to the peers and to the audience. So in

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<v Speaker 1>that paper, very interesting. The first paragraph of the paper. Okay,

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<v Speaker 1>it's already very interesting because typically when people write a

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<v Speaker 1>paper nowadays, they tell you, oh, how great my invention is.

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<v Speaker 1>It's going to change the world. Every paper is going

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<v Speaker 1>to change the world. But in fact, his first paper

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<v Speaker 1>paragraph focused on telling you what his paper is not achieving.

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<v Speaker 1>Ha ha, I mean that's a master. That's the masters, right,

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<v Speaker 1>I mean, how many papers that you read nowadays tells

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<v Speaker 1>you in the beginning, Hey, you know what, guys, expectation

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<v Speaker 1>management here, this paper is not about this. Hey, don't

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<v Speaker 1>get your home. Yeah, exactly, That's exactly what he did.

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<v Speaker 1>Expectation management nowadays, that's what today we will call it

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<v Speaker 1>expectation management. And now those days, I guess he just

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<v Speaker 1>calls it honesty. And his whole point was often people

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<v Speaker 1>associate information with meaning, okay, and then he said in

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<v Speaker 1>this we ignore meaning, we ignore meaning. Huh okay. So

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<v Speaker 1>that was the first thing he did, which is brilliant

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<v Speaker 1>because once you high information with meaning, then he will

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<v Speaker 1>never be able to make any progress. It's just too

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<v Speaker 1>difficult and too broad and too vague a problem.

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<v Speaker 2>Everybody gets stuck on this idea of meaning and what

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<v Speaker 2>is meaning? And he's like, forget about meaning. So we're

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<v Speaker 2>gonna forget about meaning. What is left?

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<v Speaker 1>Yes, Actually, the biggest I think breakthrough of that paper

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<v Speaker 1>is to really focus on the thing that matters and

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<v Speaker 1>cut away a lot of stuff that really doesn't learn

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<v Speaker 1>that it doesn't matter, but it doesn't matter in terms

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<v Speaker 1>of solving the communication problem, the communication. So then he said, okay,

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<v Speaker 1>what is the communication problem? The communication problem is the

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<v Speaker 1>following is that there are multiple possibilities of a word,

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<v Speaker 1>and my goal is to tell the receiver destination which

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<v Speaker 1>of the multiple pospiity is the correct prosperity.

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<v Speaker 2>Yeah, and so in language, it's basically it's a finite set.

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<v Speaker 2>Language is a finite set. It's very large. But if

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<v Speaker 2>we're speaking and we both know that we're speaking English,

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<v Speaker 2>then essentially you are hearing the words and decoding them,

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<v Speaker 2>and you know that it is a series of words,

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<v Speaker 2>and you just have to figure out which words I

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<v Speaker 2>mean like that for example, Yes, like that? Okay, so

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<v Speaker 2>that's the frame he builds then.

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<v Speaker 1>Why okay, all right, Then once you have this framing, right,

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<v Speaker 1>then you can ask the question, Okay, what is the

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<v Speaker 1>goal of communication? The goal of communication is to communicate

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<v Speaker 1>as fast as I can, right, And the natural question

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<v Speaker 1>is why is there a limit on how fast I

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<v Speaker 1>can communicate to you? Because if there's no limit, then

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<v Speaker 1>amazing world. Right, we can communicate so fast it's.

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<v Speaker 2>Like instant telepathy. It's like you instantly beat me every

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<v Speaker 2>thought in your head.

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<v Speaker 1>Yeah, okay, exactly. The natural question it has once you

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<v Speaker 1>set up this finite set, as you mentioned, is okay,

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<v Speaker 1>given these finite sets, is there a limit on how

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<v Speaker 1>fast I can communicate to you? And so that was

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<v Speaker 1>the question that was the heart of the paper, which

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<v Speaker 1>is to so he formulated this notion of a capacity.

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<v Speaker 1>That communication system is like a pipe. It's like you're

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<v Speaker 1>pushing water through this pipe, and the size of the

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<v Speaker 1>pipe limits of how fast you can push water through it.

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<v Speaker 1>And now, justly in communication, there's this notion of a

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<v Speaker 1>size of the pipe, which is called a capacity. And

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<v Speaker 1>you figured a way of computing this capacity for different

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<v Speaker 1>communication medium, any communication medium, you can actually compute a

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<v Speaker 1>capacity for that community, and that limits how fast you

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<v Speaker 1>can communicate information over that medium, whether that medium is wireless,

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<v Speaker 1>over the air or over the widline. Like I'm talking

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<v Speaker 1>to you, I communicate over the air, I talk to

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<v Speaker 1>my WiFi. The wi Fi goes through some copper cabo,

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<v Speaker 1>some optical fiber. H He's a physical medium, but he

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<v Speaker 1>can compute a capacity for each of these different mediums.

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<v Speaker 2>And I know that part of the paper looks at, say,

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<v Speaker 2>redundancy in various modes of communication and on related note patterns. Right,

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<v Speaker 2>there's this whole section of the paper where he looks

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<v Speaker 2>at the frequency with which letters occur in English and

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<v Speaker 2>kind of builds builds an idea around that. Tell me

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<v Speaker 2>about those pieces.

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<v Speaker 1>Of the paper. Yeah, so let's talk with the word redundancy.

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<v Speaker 2>Yeah, that comes off right.

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<v Speaker 1>No, no, no, no, no, no no, that's not only

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<v Speaker 1>not the wrong word, but it's actually the most important word.

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<v Speaker 1>I would say almost because you go back to the

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<v Speaker 1>question to the thing I was talking about, which is

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<v Speaker 1>how fast you can communicate? Right, So what he discovered

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<v Speaker 1>was actually there's no limit on how fast it can communicate.

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<v Speaker 1>You can always communicate very fast. But what the guy

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<v Speaker 1>can hear is gibberish, and he cannot really distinguish what

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<v Speaker 1>you're trying to say is like so much noise in

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<v Speaker 1>the system, okay, that he cannot really figure out what he's.

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<v Speaker 2>Saying, even if you're face to face, right, even if

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<v Speaker 2>you're face to face, you're not going to over the

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<v Speaker 2>phone or whatever. If you talk too fast, the listener

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<v Speaker 2>won't understand because you're going to.

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<v Speaker 1>And anybody who goes to a crazy professor's lecture would

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<v Speaker 1>know about this, where the professor just keeps on talking

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<v Speaker 1>and million miles per hour and the students, the sister

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<v Speaker 1>and nobody understood the thing, and the professor cours the

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<v Speaker 1>day when it's finished. So so basically he's what he's

0:14:05.836 --> 0:14:09.636
<v Speaker 1>saying is that, hey, you know what to make sure

0:14:09.756 --> 0:14:13.836
<v Speaker 1>that the information goes through reliably, reliably, that's the first

0:14:13.876 --> 0:14:20.316
<v Speaker 1>word you need to introduce, redundancy, redundancy in your message, okay.

0:14:21.716 --> 0:14:24.676
<v Speaker 1>And what you figured out is in some sense the

0:14:24.996 --> 0:14:28.956
<v Speaker 1>optimal way of adding redundancy, because you know, you can

0:14:28.996 --> 0:14:32.556
<v Speaker 1>always be stupid in adding redundancy. For example, I can

0:14:32.676 --> 0:14:35.116
<v Speaker 1>keep on repeating the same word one hundred times to

0:14:35.156 --> 0:14:37.476
<v Speaker 1>you and then you probably get it, and then I

0:14:37.516 --> 0:14:39.276
<v Speaker 1>move on to the next word. I cannot move on

0:14:39.316 --> 0:14:41.836
<v Speaker 1>the next word, but that would take me one hundred

0:14:41.956 --> 0:14:47.196
<v Speaker 1>times slow. Yes, right, and so that's not a very

0:14:47.236 --> 0:14:49.876
<v Speaker 1>smart way of adding redundancy. So what do you figured

0:14:49.876 --> 0:14:52.756
<v Speaker 1>out is an optimal way of edding redundancy so that

0:14:52.876 --> 0:14:57.436
<v Speaker 1>you can communicate reliably and yet at the maximum what

0:14:57.556 --> 0:15:02.676
<v Speaker 1>he calls capacity limit. And that was a totally amazing

0:15:02.756 --> 0:15:08.156
<v Speaker 1>actually formulation of the problem and highly non obvious. And

0:15:08.196 --> 0:15:12.116
<v Speaker 1>I think that is some of the amazing contribution of

0:15:12.156 --> 0:15:12.916
<v Speaker 1>this guy, Shennon.

0:15:12.996 --> 0:15:20.916
<v Speaker 2>Yeah, it's optimization. He optimizes communication across any channel where

0:15:20.916 --> 0:15:27.196
<v Speaker 2>you're balancing efficiency or speed and reliability. That is the tradeoff,

0:15:27.236 --> 0:15:29.876
<v Speaker 2>and he figures out how to optimize for that trade off.

0:15:31.276 --> 0:15:35.796
<v Speaker 1>Yes, yes, he figured out how to optimize that trade off.

0:15:37.516 --> 0:15:43.516
<v Speaker 1>But that tradeoff turns out to be very interesting. Uh huh.

0:15:43.876 --> 0:15:46.556
<v Speaker 1>It's a very interesting tradeoff. So typically when we think

0:15:46.556 --> 0:15:49.956
<v Speaker 1>about tradeoff, we think about like a smooth curve, right,

0:15:50.636 --> 0:15:53.636
<v Speaker 1>as when you tune something that you can get better performance.

0:15:54.196 --> 0:15:57.236
<v Speaker 1>But what he showed was that there's kind of like

0:15:57.396 --> 0:16:02.756
<v Speaker 1>a cliff effect, Okay, And the cliff effect is that

0:16:02.836 --> 0:16:08.076
<v Speaker 1>if you communicate below this number called capacity, then you

0:16:08.116 --> 0:16:12.916
<v Speaker 1>can always engineer system to make your signal the communication

0:16:13.076 --> 0:16:17.996
<v Speaker 1>as reliable as you want. Huh so reliable, that's completely clean. Wow.

0:16:18.796 --> 0:16:23.516
<v Speaker 1>Whereas you communicate above this number of capacity, then there's

0:16:23.556 --> 0:16:25.596
<v Speaker 1>nothing you can do to make a signal clean. It's

0:16:25.596 --> 0:16:29.796
<v Speaker 1>just completely gibberish. Huh. So it's a very sharp tradeoff

0:16:30.396 --> 0:16:33.036
<v Speaker 1>that he identified. It's not a smooth tradeoff.

0:16:33.556 --> 0:16:35.796
<v Speaker 2>And if you're running the phone company, that's exactly what

0:16:35.876 --> 0:16:37.716
<v Speaker 2>you want to know, right, So then you can tune

0:16:37.756 --> 0:16:40.996
<v Speaker 2>it all the way to capacity and then not try

0:16:41.036 --> 0:16:43.276
<v Speaker 2>and tune it anymore after that, because it's not going

0:16:43.356 --> 0:16:44.076
<v Speaker 2>to get any better.

0:16:44.476 --> 0:16:46.956
<v Speaker 1>Correct, And that's the goal of sixty years of engineering

0:16:46.956 --> 0:16:51.556
<v Speaker 1>to achieve his vision, his vision nineteen forty eight. It

0:16:51.596 --> 0:16:54.716
<v Speaker 1>took people around sixty years to get to that implement

0:16:54.796 --> 0:16:55.276
<v Speaker 1>his vision.

0:16:56.396 --> 0:16:59.596
<v Speaker 2>Well, so you are part of that story, right, Let's

0:16:59.836 --> 0:17:03.276
<v Speaker 2>let's let you walk onto the story now. So you

0:17:03.316 --> 0:17:07.236
<v Speaker 2>tell me about your work and how Shannon's work. You know,

0:17:07.716 --> 0:17:10.036
<v Speaker 2>how you built on Shannon's work. Tell me about how

0:17:10.036 --> 0:17:11.876
<v Speaker 2>you built on Shannon's work.

0:17:13.036 --> 0:17:16.956
<v Speaker 1>Yeah. So I did my PhD in the nineties. In

0:17:16.996 --> 0:17:23.076
<v Speaker 1>the nineties. My advisor was a Shannon student, and so

0:17:23.116 --> 0:17:26.476
<v Speaker 1>I learned information theory him. Okay, Now, at that time,

0:17:27.316 --> 0:17:31.196
<v Speaker 1>information theory was almost a dead subject. Okay. When I

0:17:31.276 --> 0:17:34.796
<v Speaker 1>was a PhD student, the first thing my advisor told me,

0:17:35.036 --> 0:17:39.276
<v Speaker 1>maybe following Shannon, is hey, don't work in information theory. Wow,

0:17:40.116 --> 0:17:42.156
<v Speaker 1>you'll never find a job. You never find a job

0:17:42.156 --> 0:17:44.596
<v Speaker 1>with this stuff. Okay, that's a tough moment.

0:17:44.956 --> 0:17:46.316
<v Speaker 2>That must be a tough moment for.

0:17:46.316 --> 0:17:50.516
<v Speaker 1>Pretty tough, yeah, because at that time, there's not much

0:17:50.596 --> 0:17:55.356
<v Speaker 1>progress made in the theory, and there's no killer applications either.

0:17:55.476 --> 0:17:58.556
<v Speaker 1>There's no very killer applications that need all this sophisticated

0:17:58.756 --> 0:18:03.036
<v Speaker 1>information theory. Okay. So it's like a dead field.

0:18:02.876 --> 0:18:05.196
<v Speaker 2>Was there a while when people used it to like

0:18:05.476 --> 0:18:08.476
<v Speaker 2>whatever make landline phones work better, like in the fifties

0:18:08.556 --> 0:18:10.796
<v Speaker 2>or something with where people like, oh great, now we've

0:18:10.796 --> 0:18:13.396
<v Speaker 2>got this theory and we can make the phone work better.

0:18:14.636 --> 0:18:20.436
<v Speaker 1>Yeah. So the thing is that the solutions that people

0:18:20.436 --> 0:18:24.116
<v Speaker 1>come up with to achieve these capacity limits is very complicated, okay,

0:18:24.916 --> 0:18:27.836
<v Speaker 1>and the electronics that technology is just not enough to

0:18:27.836 --> 0:18:31.116
<v Speaker 1>build these complicated circuits. So information theory have had not

0:18:31.316 --> 0:18:35.156
<v Speaker 1>a very significant applic impact in the fifties, sixties, or

0:18:35.196 --> 0:18:35.996
<v Speaker 1>even seven sounds.

0:18:36.116 --> 0:18:38.836
<v Speaker 2>So it's like one of those cases where the theory

0:18:38.876 --> 0:18:42.076
<v Speaker 2>is just too far ahead of the technology.

0:18:42.076 --> 0:18:45.556
<v Speaker 1>To be useful it. Yeah, and so people can start

0:18:45.596 --> 0:18:47.596
<v Speaker 1>losing interest in the theory is that, yes, this is

0:18:47.596 --> 0:18:50.476
<v Speaker 1>a bunch of maths. It's not impacting the real world,

0:18:50.556 --> 0:18:53.436
<v Speaker 1>and so students are drifting away from the field. But

0:18:53.556 --> 0:18:56.756
<v Speaker 1>there's still always a few students, okay, who are just

0:18:56.956 --> 0:19:00.436
<v Speaker 1>so enumorated by the theory that they keep on pursuing it.

0:19:01.116 --> 0:19:03.996
<v Speaker 1>And my advisor is one of the leading professors in

0:19:04.036 --> 0:19:08.116
<v Speaker 1>this area, and he would have like one student every decade,

0:19:08.356 --> 0:19:11.596
<v Speaker 1>every decade to do research in if.

0:19:11.436 --> 0:19:14.076
<v Speaker 2>You were that student, you were and I was.

0:19:14.076 --> 0:19:16.876
<v Speaker 1>Not that student, And I was not that student, Okay.

0:19:17.396 --> 0:19:19.596
<v Speaker 1>At that time, that slot was already taken by an

0:19:19.596 --> 0:19:22.796
<v Speaker 1>earlier student who was ways more than me, who's ways

0:19:22.876 --> 0:19:25.836
<v Speaker 1>more than me. And that's that he was that he

0:19:25.916 --> 0:19:29.276
<v Speaker 1>was a student of the decade in information theory. Okay. Now,

0:19:30.156 --> 0:19:32.716
<v Speaker 1>so I was assigned to work on some other problems okay,

0:19:32.716 --> 0:19:35.756
<v Speaker 1>completely and related Okay, But anyway, the point though, is

0:19:35.756 --> 0:19:40.036
<v Speaker 1>that when I graduated, something happened, okay, And that was

0:19:40.076 --> 0:19:45.796
<v Speaker 1>the beginning of the wireless revolution. That was the time

0:19:45.876 --> 0:19:49.436
<v Speaker 1>when only a million people have cell phones, and those

0:19:49.436 --> 0:19:53.116
<v Speaker 1>cell phones I don't even remember. It's like gigantically break yeah.

0:19:53.156 --> 0:19:56.836
<v Speaker 2>Like there's that famous scene from the movie Wall Street, right,

0:19:56.916 --> 0:19:58.676
<v Speaker 2>that's the one that everybody talks about where it's like

0:19:58.956 --> 0:20:01.236
<v Speaker 2>bigger than a brick. People say brick, but it's actually

0:20:01.236 --> 0:20:03.916
<v Speaker 2>bigger than a brick. It's like a big hardback book

0:20:04.036 --> 0:20:04.476
<v Speaker 2>or something.

0:20:05.676 --> 0:20:07.836
<v Speaker 1>Yeah. And actually those days, because there's some few of

0:20:07.876 --> 0:20:11.356
<v Speaker 1>six post it's like a prestige. It's like it's prestige

0:20:11.396 --> 0:20:14.596
<v Speaker 1>to have this brick. Yeah, okay, yeah.

0:20:14.356 --> 0:20:16.396
<v Speaker 2>You couldn't get that brick. You had to be rich

0:20:16.476 --> 0:20:18.076
<v Speaker 2>to get that brick. Yeah.

0:20:18.156 --> 0:20:21.756
<v Speaker 1>Yeah. And so the wireless revolution was happening because people

0:20:21.796 --> 0:20:24.276
<v Speaker 1>realized that hey, you know what, be able to communicate

0:20:24.276 --> 0:20:27.996
<v Speaker 1>anytime anywhere is really viable, and so people are now

0:20:28.036 --> 0:20:31.916
<v Speaker 1>getting interested. And at that time, what people realize is

0:20:31.956 --> 0:20:37.356
<v Speaker 1>that whoa this wireless physical media, it's really tough to

0:20:37.396 --> 0:20:41.276
<v Speaker 1>communicate over because the bandwidth is so limited and the

0:20:41.316 --> 0:20:45.116
<v Speaker 1>noise is so much. Right, FCC was limiting the bandwidth

0:20:45.116 --> 0:20:46.996
<v Speaker 1>allocation to these applications a lot.

0:20:47.076 --> 0:20:52.676
<v Speaker 2>Aha, and so Communications Commission the government wasn't letting wireless

0:20:52.676 --> 0:20:54.196
<v Speaker 2>companies use much bandwidth for.

0:20:54.236 --> 0:20:56.156
<v Speaker 1>Cel phone yeah, because all the bandwi most of them

0:20:56.156 --> 0:20:59.636
<v Speaker 1>are allocated for military purposes and there's only very little bandwidth

0:20:59.676 --> 0:21:03.076
<v Speaker 1>allocated at that time for civilians, and so those bandwidth

0:21:03.116 --> 0:21:06.916
<v Speaker 1>were auctional to companies with a very high price, and

0:21:06.956 --> 0:21:10.196
<v Speaker 1>so it became very important to be very efficient in

0:21:10.316 --> 0:21:15.996
<v Speaker 1>using this very expensive property. Aha, Okay, and then people realize, hey,

0:21:16.316 --> 0:21:19.396
<v Speaker 1>if we want to be really efficient, then we need

0:21:19.436 --> 0:21:23.356
<v Speaker 1>a theory which is about efficiency. So people start thinking, okay,

0:21:23.876 --> 0:21:26.836
<v Speaker 1>all right, so information theory was dead, but now it's

0:21:26.876 --> 0:21:29.116
<v Speaker 1>going to come back to life because we have this

0:21:29.196 --> 0:21:32.756
<v Speaker 1>really important problem, really expensive spectrum that was allocated by SEC,

0:21:32.956 --> 0:21:35.516
<v Speaker 1>and we want to squeeze as much of it as possible.

0:21:35.156 --> 0:21:38.476
<v Speaker 2>As much communication. We need a sort of mathematical theory

0:21:38.476 --> 0:21:40.076
<v Speaker 2>of communication, if you will.

0:21:41.156 --> 0:21:44.596
<v Speaker 1>And that was the renaissance of information theory, spurred by

0:21:45.236 --> 0:21:48.636
<v Speaker 1>this amazing technology of wireless, which took us from one

0:21:49.236 --> 0:21:52.596
<v Speaker 1>million phones to ten billion phones.

0:21:53.196 --> 0:21:56.116
<v Speaker 2>Today everybody has one point one.

0:21:55.996 --> 0:22:01.156
<v Speaker 1>Phone, and information theory play a big role in that revolution.

0:22:06.236 --> 0:22:09.676
<v Speaker 2>In a minute, how David used quad shannon It's nineteen

0:22:09.756 --> 0:22:12.436
<v Speaker 2>forty eight paper to come up with an idea that

0:22:12.476 --> 0:22:14.636
<v Speaker 2>we all use every time we make.

0:22:14.556 --> 0:22:24.076
<v Speaker 1>A phone call.

0:22:24.196 --> 0:22:27.756
<v Speaker 2>Let's talk for a moment about your your role, right,

0:22:27.836 --> 0:22:30.756
<v Speaker 2>like you actually played played an important role there.

0:22:31.076 --> 0:22:34.716
<v Speaker 1>Yeah, so I was at Ball Labs. Uh huh, just

0:22:34.756 --> 0:22:37.796
<v Speaker 1>like Claude. So it's like Claude to Yeah. Yeah, So

0:22:37.876 --> 0:22:40.476
<v Speaker 1>I spent one year at ball Lapse as a so

0:22:40.636 --> 0:22:44.516
<v Speaker 1>called postdoc right after my PhD, before I moved to

0:22:44.556 --> 0:22:47.836
<v Speaker 1>Berkeley to become a professor there. I spent one year there.

0:22:48.116 --> 0:22:49.836
<v Speaker 1>And that's what people were talking about that time of

0:22:49.836 --> 0:22:53.836
<v Speaker 1>beat Labs. Hey, this new thing, wireless information theories come

0:22:53.956 --> 0:22:57.116
<v Speaker 1>back to life. We can try to use information theory

0:22:57.196 --> 0:23:01.236
<v Speaker 1>and adapt it and extend it to this wireless communication problem.

0:23:01.876 --> 0:23:05.236
<v Speaker 1>And so that's when I said, whoa this information theory

0:23:05.236 --> 0:23:07.916
<v Speaker 1>I learned from Bob Gallagher. Finally there's a place to

0:23:08.076 --> 0:23:13.436
<v Speaker 1>use it. Finally I can actually make a living, make

0:23:13.476 --> 0:23:15.436
<v Speaker 1>a living out of it. And like what my advisor

0:23:15.476 --> 0:23:18.236
<v Speaker 1>told me, is not dead, it's come back to life. Yeah,

0:23:18.876 --> 0:23:21.556
<v Speaker 1>and so that's sort of my start in the field.

0:23:22.116 --> 0:23:25.716
<v Speaker 1>And uh yeah, so I did, I, you know, invented

0:23:25.716 --> 0:23:29.356
<v Speaker 1>a bunch of stuff and actually apply this connect this

0:23:29.396 --> 0:23:32.196
<v Speaker 1>information theory to the real world. And uh, every time

0:23:32.236 --> 0:23:36.196
<v Speaker 1>you use a phone, you're using my algorithm, which is

0:23:36.236 --> 0:23:38.996
<v Speaker 1>based on the theory of information. Huh.

0:23:39.036 --> 0:23:42.036
<v Speaker 2>And so you're you're that's a cool thing to be

0:23:42.076 --> 0:23:44.756
<v Speaker 2>able to say. First of all, that's a very good

0:23:44.796 --> 0:23:51.876
<v Speaker 2>flex your algorithm, it's the proportional fair scheduling algorithm, right, yes, yes,

0:23:52.156 --> 0:23:53.396
<v Speaker 2>what is that? What's it do?

0:23:54.756 --> 0:23:56.996
<v Speaker 1>All right? So I should tell you a little bit story.

0:23:57.036 --> 0:23:58.876
<v Speaker 1>I think the story is, uh, and then I'll tell

0:23:58.876 --> 0:24:02.796
<v Speaker 1>you what it does. Okay. So I went to So

0:24:02.836 --> 0:24:05.396
<v Speaker 1>that was the end of nineteen ninety nine, around nine

0:24:05.436 --> 0:24:09.036
<v Speaker 1>ninety nine. So I was doing all this information theory

0:24:09.156 --> 0:24:13.836
<v Speaker 1>stuff at Berkeley, writing many papers. But then I always

0:24:13.876 --> 0:24:16.156
<v Speaker 1>have a thought the back of my mind, which you say,

0:24:16.196 --> 0:24:18.436
<v Speaker 1>is this stuff going to be useful? And so I

0:24:18.476 --> 0:24:20.436
<v Speaker 1>went to a I decided to go to a company,

0:24:20.436 --> 0:24:22.356
<v Speaker 1>a wireless company who actually build these things and see

0:24:22.356 --> 0:24:24.596
<v Speaker 1>whether this theory can be used. And the company went

0:24:24.596 --> 0:24:25.396
<v Speaker 1>to is called Quaker.

0:24:26.676 --> 0:24:27.916
<v Speaker 2>Okay, I've heard of Quaker.

0:24:28.956 --> 0:24:30.516
<v Speaker 1>You've heard of Quaker, but at that time it was

0:24:30.556 --> 0:24:34.116
<v Speaker 1>a small company, it was not very big, Okay. And

0:24:34.196 --> 0:24:37.556
<v Speaker 1>at that time they have this problem they're working on. Okay,

0:24:37.556 --> 0:24:41.036
<v Speaker 1>which is the following. All right. So in wireless communication,

0:24:41.116 --> 0:24:45.276
<v Speaker 1>there's a concept COUD based station okay, and the base

0:24:45.316 --> 0:24:49.436
<v Speaker 1>station serves many cell phones in the vicinity of the

0:24:49.436 --> 0:24:50.716
<v Speaker 1>bay station. It's cost sout.

0:24:51.276 --> 0:24:52.876
<v Speaker 2>Is it like a tower? Is what we would call

0:24:52.916 --> 0:24:53.836
<v Speaker 2>it a tower?

0:24:54.036 --> 0:24:56.516
<v Speaker 1>That's right, it's always on the tower. There's there's some

0:24:56.596 --> 0:25:00.276
<v Speaker 1>electronics there. Yeah, and that's how the bay station is

0:25:00.316 --> 0:25:03.836
<v Speaker 1>supposed to beam information to many phones, and many phones.

0:25:03.876 --> 0:25:05.676
<v Speaker 2>You still see them. You see them when whatever on

0:25:05.756 --> 0:25:07.636
<v Speaker 2>top of a big building or when you're driving down

0:25:07.676 --> 0:25:09.116
<v Speaker 2>the freeway. Right, that's what you're talking about.

0:25:09.156 --> 0:25:12.396
<v Speaker 1>That, Yeah, that's right. And sometimes on fake trees.

0:25:12.596 --> 0:25:14.276
<v Speaker 2>I love the fake trees in New Jersey.

0:25:14.356 --> 0:25:18.356
<v Speaker 1>They love the fake New Jersey. That's right, New Jersey,

0:25:18.436 --> 0:25:22.836
<v Speaker 1>fake trees. Yes, So at that time they would look

0:25:22.836 --> 0:25:26.996
<v Speaker 1>at this problem, which is, hey, okay, my bandwidth is limited,

0:25:27.356 --> 0:25:30.636
<v Speaker 1>but I have many users to serve. Yeah, okay, how

0:25:30.676 --> 0:25:34.876
<v Speaker 1>do I schedule my limited resource among all these users? Right?

0:25:34.916 --> 0:25:37.716
<v Speaker 1>Because I only have one total bandwidth. And so at

0:25:37.716 --> 0:25:40.956
<v Speaker 1>that time people think, okay, maybe something simple. I give

0:25:41.156 --> 0:25:43.916
<v Speaker 1>one end of the time to the end user. Right,

0:25:43.956 --> 0:25:46.756
<v Speaker 1>so the five users, I serve this user for a

0:25:46.796 --> 0:25:48.556
<v Speaker 1>little bit, and I served the second user for a

0:25:48.556 --> 0:25:49.716
<v Speaker 1>little bit, and served user for.

0:25:50.196 --> 0:25:53.356
<v Speaker 2>The ideas, you're switching really fast. You're just like switching.

0:25:53.156 --> 0:25:56.756
<v Speaker 1>Switching really fast, yeah, exactly. And then when I went there,

0:25:56.836 --> 0:25:59.756
<v Speaker 1>I said, okay, good is the problem is a good problem.

0:25:59.796 --> 0:26:03.876
<v Speaker 1>And I said, hey, instead of fixating on this particular

0:26:03.916 --> 0:26:08.116
<v Speaker 1>scheduling policy, why don't we do any Shannon thing, a.

0:26:08.196 --> 0:26:11.716
<v Speaker 2>Card Shannon thing. You thought of, your thought of it? Yeah, okay.

0:26:12.436 --> 0:26:15.916
<v Speaker 1>The clause shaming thing is what is to look at

0:26:15.916 --> 0:26:21.196
<v Speaker 1>the problem from first principle, Uh not reassume a particular

0:26:21.876 --> 0:26:25.956
<v Speaker 1>solution or a particular class solution even and ask ourselves

0:26:26.036 --> 0:26:31.036
<v Speaker 1>what is the capacity of this whole system, and how

0:26:31.076 --> 0:26:34.636
<v Speaker 1>do I engineer the system to achieve that capacity? Okay?

0:26:35.836 --> 0:26:37.756
<v Speaker 1>And it turns out that if you look at the

0:26:37.796 --> 0:26:40.476
<v Speaker 1>problem this way, then it turns out that the optimal

0:26:40.556 --> 0:26:43.516
<v Speaker 1>way of scheduling is not the one that they will

0:26:43.556 --> 0:26:47.956
<v Speaker 1>try and design. And the reason is because in wireless

0:26:47.956 --> 0:26:54.596
<v Speaker 1>communication there's a very interesting characteristic which is called fading. Okay, okay.

0:26:55.356 --> 0:26:59.156
<v Speaker 1>When I talk to you over the air, the channel

0:26:59.316 --> 0:27:02.556
<v Speaker 1>actually goes up and down, strong and weak, strong and weak,

0:27:02.796 --> 0:27:05.676
<v Speaker 1>very rapidly. What I mean is when I send an

0:27:05.676 --> 0:27:10.036
<v Speaker 1>Electromnett signal from the from the base to the phone,

0:27:10.676 --> 0:27:17.276
<v Speaker 1>that signal get amplified and attenuate it very rapidly. It

0:27:17.316 --> 0:27:18.236
<v Speaker 1>goes up and down.

0:27:18.276 --> 0:27:21.276
<v Speaker 2>Okay, Okay, can we say it gets stronger and weaker.

0:27:21.356 --> 0:27:22.676
<v Speaker 2>Can we say it gets stronger.

0:27:22.436 --> 0:27:26.636
<v Speaker 1>And stronger and weaker? Okay? Yes, And so the alcomal

0:27:26.676 --> 0:27:29.316
<v Speaker 1>way that Information SERVI it has to do is actually

0:27:29.356 --> 0:27:34.676
<v Speaker 1>not divide the time into slots blindly, but really try

0:27:34.796 --> 0:27:39.716
<v Speaker 1>to SKATEU a user when the channel is strong.

0:27:40.476 --> 0:27:40.516
<v Speaker 2>Ha.

0:27:42.276 --> 0:27:45.316
<v Speaker 1>And then from that on I designed a scheduling album

0:27:45.316 --> 0:27:48.716
<v Speaker 1>from which is more practical by sort of leverage of

0:27:48.756 --> 0:27:50.956
<v Speaker 1>this basic idea from information theory.

0:27:51.356 --> 0:27:55.236
<v Speaker 2>And so so the base station is basically monitoring the

0:27:55.276 --> 0:27:58.796
<v Speaker 2>strength of the incoming signals from all the different phones

0:27:59.716 --> 0:28:02.036
<v Speaker 2>and saying, Oh, that one's strong, I'm gonna grab that one.

0:28:02.076 --> 0:28:03.556
<v Speaker 2>Oh that one's strong, I'm gonna grab that one.

0:28:03.596 --> 0:28:05.636
<v Speaker 1>That's what's happening, correct? Correct?

0:28:05.636 --> 0:28:07.796
<v Speaker 2>And how does that I mean I get in a

0:28:07.916 --> 0:28:10.476
<v Speaker 2>kind of big first principles way sort of analogously, it

0:28:10.516 --> 0:28:13.876
<v Speaker 2>follows from Shannon. But is there anything sort of specific

0:28:14.116 --> 0:28:20.916
<v Speaker 2>in Shannon that leads you to this algorithm?

0:28:20.956 --> 0:28:26.516
<v Speaker 1>So remember Shannon is a very general theory. Yeah, Okay.

0:28:27.356 --> 0:28:31.156
<v Speaker 1>It basically says that given any communication medium or any

0:28:31.196 --> 0:28:37.156
<v Speaker 1>communication setting, yeah, you can try to calculate this notion

0:28:37.236 --> 0:28:40.996
<v Speaker 1>of a capacity. So the very general theory, what I

0:28:41.156 --> 0:28:44.956
<v Speaker 1>did was to apply it to a very specific context,

0:28:44.956 --> 0:28:49.956
<v Speaker 1>which is this base station serving multiple user setting. Yeah,

0:28:50.036 --> 0:28:54.716
<v Speaker 1>and then apply his framework to analyze the capacity of

0:28:54.716 --> 0:28:55.236
<v Speaker 1>that system.

0:28:55.596 --> 0:28:57.036
<v Speaker 2>Huh.

0:28:57.116 --> 0:28:59.836
<v Speaker 1>And in the process of analyzing the capacity, you can

0:28:59.876 --> 0:29:04.916
<v Speaker 1>also figure out what is the optimal way of achieving

0:29:04.956 --> 0:29:09.076
<v Speaker 1>that capacity. Remember you mentioned capacity is really an optimization problem,

0:29:09.636 --> 0:29:13.556
<v Speaker 1>and Shannon was able to solve this optimization problem in general.

0:29:13.916 --> 0:29:16.236
<v Speaker 1>But now I specialize it in some sense to this

0:29:16.756 --> 0:29:20.636
<v Speaker 1>pretty specific setting, except that the setting is used by everybody.

0:29:21.356 --> 0:29:24.476
<v Speaker 1>But at that time, it was like, you know, research

0:29:24.516 --> 0:29:27.396
<v Speaker 1>is about timing, and I was there at the right

0:29:27.396 --> 0:29:32.076
<v Speaker 1>place at the right time. Because Qualcom turns out to

0:29:32.116 --> 0:29:37.876
<v Speaker 1>completely dominate the entire third generation technology. So when I

0:29:37.916 --> 0:29:40.676
<v Speaker 1>was able to convince them that, hey, your way of

0:29:40.676 --> 0:29:44.156
<v Speaker 1>doing things is no good. This way suggested by Shannon's

0:29:44.196 --> 0:29:48.556
<v Speaker 1>actually far better. Please use this way. It took me

0:29:48.596 --> 0:29:50.516
<v Speaker 1>a few months, but I was able to persuade them

0:29:50.556 --> 0:29:53.116
<v Speaker 1>to implement it, and then it got into the standard

0:29:53.796 --> 0:29:57.956
<v Speaker 1>through the domination, and then every standard after that uses

0:29:58.076 --> 0:30:02.396
<v Speaker 1>the same basic, the same algorithm. So it was good because,

0:30:02.476 --> 0:30:04.036
<v Speaker 1>as I said, I'm at the right place at the

0:30:04.076 --> 0:30:07.196
<v Speaker 1>right time. You know, when you try to contribute to engineering.

0:30:07.396 --> 0:30:09.836
<v Speaker 1>It's too late if the system is built, because people

0:30:09.876 --> 0:30:12.276
<v Speaker 1>don't want to wreck change the whole system to accompany

0:30:12.396 --> 0:30:15.876
<v Speaker 1>or new idea. But it was very early in the

0:30:15.916 --> 0:30:17.036
<v Speaker 1>design phase.

0:30:17.956 --> 0:30:21.796
<v Speaker 2>So so okay, So you made this breakthrough in wireless

0:30:21.796 --> 0:30:26.876
<v Speaker 2>communications using Shannon's work. Were there similar breakthroughs in, you know,

0:30:26.996 --> 0:30:29.196
<v Speaker 2>in other domains?

0:30:29.236 --> 0:30:33.676
<v Speaker 1>Any communication median right, it could be optical, fiber, it

0:30:33.716 --> 0:30:40.596
<v Speaker 1>could be DSL modem, YESL modem, underwater communication. Almost all

0:30:40.676 --> 0:30:44.036
<v Speaker 1>these communication systems are now designed based on his principle.

0:30:45.236 --> 0:30:50.596
<v Speaker 1>So as impact of this theory is kind of global,

0:30:50.716 --> 0:30:53.036
<v Speaker 1>it's the entire communication landscape.

0:30:54.076 --> 0:31:00.156
<v Speaker 2>There's a story I read in about Shannon that when

0:31:00.196 --> 0:31:05.596
<v Speaker 2>he is developing information theory, he he takes a book

0:31:05.636 --> 0:31:07.956
<v Speaker 2>off the shelf and he reads a sentence to its

0:31:07.956 --> 0:31:10.716
<v Speaker 2>actually his wife, and it's something like the lamp was

0:31:10.756 --> 0:31:14.036
<v Speaker 2>sitting on the and she says table and he says, no,

0:31:14.116 --> 0:31:16.356
<v Speaker 2>I'll give you a clue. The first letter is D

0:31:16.756 --> 0:31:20.916
<v Speaker 2>and she says desk. And when I heard that story,

0:31:21.156 --> 0:31:24.756
<v Speaker 2>what I thought of was large language models, Like that

0:31:24.796 --> 0:31:28.396
<v Speaker 2>sounds exactly like a large language model, And so I'm

0:31:28.436 --> 0:31:34.316
<v Speaker 2>just fishing, I'm just curious, like does his work matter

0:31:34.676 --> 0:31:38.676
<v Speaker 2>for machine learning, large language models, et cetera or no.

0:31:40.596 --> 0:31:44.116
<v Speaker 1>Yeah, so that's a very interesting point. Now I'm not

0:31:44.156 --> 0:31:48.716
<v Speaker 1>an expert by any means in AI or large language models. Yeah,

0:31:48.756 --> 0:31:52.116
<v Speaker 1>I'm not a professional researcher in that area. But I

0:31:52.156 --> 0:31:54.796
<v Speaker 1>think you can actually see some commonality, right, is that

0:31:56.676 --> 0:31:58.916
<v Speaker 1>you know these models in some sense, they don't care

0:31:58.916 --> 0:31:59.876
<v Speaker 1>about meaning either.

0:32:00.556 --> 0:32:03.476
<v Speaker 2>Yeah, very good, Very good. Yeah.

0:32:03.596 --> 0:32:08.716
<v Speaker 1>Right, Actually I've just came to my discussion is very

0:32:08.716 --> 0:32:13.596
<v Speaker 1>interesting because it's really just patterns. It's just which patterns

0:32:13.636 --> 0:32:16.196
<v Speaker 1>are more likely than other patterns. Right. The example you

0:32:16.236 --> 0:32:20.436
<v Speaker 1>gave about desk and is basically about patterns, and information

0:32:20.556 --> 0:32:23.796
<v Speaker 1>theory is really analyzing sort of the number of possible

0:32:23.836 --> 0:32:30.236
<v Speaker 1>patterns in some sense. So there is definitely a philosophical connection,

0:32:30.396 --> 0:32:35.156
<v Speaker 1>I believe, starting from Shannon to these large language models.

0:32:35.476 --> 0:32:36.916
<v Speaker 2>So let me ask you about one other, and this

0:32:36.996 --> 0:32:44.316
<v Speaker 2>is one that you are professionally involved in cryptocurrency and blockchain.

0:32:44.916 --> 0:32:48.316
<v Speaker 2>You have studied it and you started a company.

0:32:48.476 --> 0:32:48.676
<v Speaker 1>Right.

0:32:49.316 --> 0:32:52.836
<v Speaker 2>Is there a connection between Shannon's work and cryptocurrency.

0:32:53.436 --> 0:32:58.596
<v Speaker 1>Yeah, So what attracts me to work in this area blockchain,

0:32:59.636 --> 0:33:05.836
<v Speaker 1>is that blockchain actually has one very common philosophical connection

0:33:05.956 --> 0:33:09.836
<v Speaker 1>to information theory, which is a following in blockchain. The

0:33:09.916 --> 0:33:14.076
<v Speaker 1>problem is not communication per se. It's called consensus. Okay,

0:33:14.436 --> 0:33:18.836
<v Speaker 1>it's a different problem, but it's essentially allow a bunch

0:33:18.876 --> 0:33:21.396
<v Speaker 1>of users at different places to come to an agreement

0:33:22.036 --> 0:33:28.036
<v Speaker 1>on something. Okay, yes, Now, the goal of designing blockchain

0:33:28.436 --> 0:33:33.036
<v Speaker 1>is really to be so called for tolerant, tolerant, which

0:33:33.076 --> 0:33:37.716
<v Speaker 1>means for torerant, which means that even if say one

0:33:37.876 --> 0:33:40.876
<v Speaker 1>third of the users are bad guys and send you

0:33:40.916 --> 0:33:46.396
<v Speaker 1>some gibberish message, you can still the rest two third

0:33:46.396 --> 0:33:50.396
<v Speaker 1>people can still come to an agreement. Okay, all right,

0:33:51.516 --> 0:33:53.556
<v Speaker 1>So you look at this problem, it's actually not that

0:33:53.636 --> 0:33:58.396
<v Speaker 1>different from communication information theory because it's kind of combating.

0:33:58.116 --> 0:34:00.076
<v Speaker 2>The bad guys are the noise that the good guys

0:34:00.076 --> 0:34:01.076
<v Speaker 2>at the signal.

0:34:01.156 --> 0:34:03.116
<v Speaker 1>And the good guys at the signal, and they try

0:34:03.156 --> 0:34:07.996
<v Speaker 1>to reintroduce redundancy, okay, to help them to fight against

0:34:08.036 --> 0:34:08.796
<v Speaker 1>these bad guys.

0:34:09.556 --> 0:34:12.716
<v Speaker 2>And there's an optimization problem where like the more redundancy

0:34:12.796 --> 0:34:14.796
<v Speaker 2>you have, the sort of slower the system is, the

0:34:14.836 --> 0:34:15.636
<v Speaker 2>more ponderous.

0:34:16.716 --> 0:34:19.556
<v Speaker 1>And so you tried an optimization problem is to try

0:34:19.596 --> 0:34:22.956
<v Speaker 1>to figure out what is the optimal number of bad

0:34:22.996 --> 0:34:25.876
<v Speaker 1>guys that you can tolerate and your system still works.

0:34:26.436 --> 0:34:29.436
<v Speaker 1>That is the analogous to the capacity problem. So I

0:34:29.476 --> 0:34:35.076
<v Speaker 1>find the philosophical connection very appealing, and so that's sort

0:34:35.116 --> 0:34:37.316
<v Speaker 1>of one reason why I got attracted to work into

0:34:37.356 --> 0:34:39.116
<v Speaker 1>this area.

0:34:39.316 --> 0:34:42.636
<v Speaker 2>Why do you think more people don't know about Shannon?

0:34:42.876 --> 0:34:47.676
<v Speaker 2>Like all of the sort of intellectuals in technology say,

0:34:48.956 --> 0:34:53.756
<v Speaker 2>he's like one of the great thinkers of the twentieth century,

0:34:54.396 --> 0:34:57.636
<v Speaker 2>but most people have never heard of him. Why do

0:34:57.676 --> 0:34:58.356
<v Speaker 2>you think that is?

0:34:59.556 --> 0:35:05.756
<v Speaker 1>So? Shannon was actually a very shy person, very shy person.

0:35:06.396 --> 0:35:13.036
<v Speaker 1>He hates publicity, He hated when people interview him. You remember, right,

0:35:13.636 --> 0:35:16.156
<v Speaker 1>it's basically a very modest person. Remember the first paragraph

0:35:16.236 --> 0:35:19.076
<v Speaker 1>I talked you about. Yeah, he tells you what he

0:35:19.116 --> 0:35:22.356
<v Speaker 1>is not accomplishing. Yeah, And so he's a very modest,

0:35:22.516 --> 0:35:26.156
<v Speaker 1>very shy person, not into publicity. And I think that

0:35:26.916 --> 0:35:32.076
<v Speaker 1>sort of impact not only himself, but also everybody who

0:35:32.076 --> 0:35:36.316
<v Speaker 1>works in that field. Uhha, and dob this as kind

0:35:36.316 --> 0:35:38.676
<v Speaker 1>of like a metric, right that Hey, we should all

0:35:38.716 --> 0:35:41.436
<v Speaker 1>be modest, because what look at this guy who accomplished

0:35:41.476 --> 0:35:44.476
<v Speaker 1>so much and he's still so motist. Who are we?

0:35:44.996 --> 0:35:48.876
<v Speaker 1>Who are we? Right? So, as a result, the field

0:35:48.876 --> 0:35:52.996
<v Speaker 1>doesn't really sell himself very well. The marketing engine, the

0:35:53.036 --> 0:35:56.796
<v Speaker 1>marketing DNA is not there. Yeah, and so people don't

0:35:56.836 --> 0:35:58.356
<v Speaker 1>know about him.

0:35:58.556 --> 0:36:00.516
<v Speaker 2>So I want to talk for a minute about the

0:36:00.556 --> 0:36:03.996
<v Speaker 2>rest of Shannon's life. He writes this huge paper when

0:36:03.996 --> 0:36:07.236
<v Speaker 2>he's in his early thirties, eventually goes on to be

0:36:07.276 --> 0:36:11.156
<v Speaker 2>a professor at MIT, and he seems to spend a

0:36:11.236 --> 0:36:17.916
<v Speaker 2>lot of his career juggling, writing a unicycle, building mechanical toys,

0:36:17.956 --> 0:36:21.476
<v Speaker 2>building games, and he never, you know, does sort of

0:36:21.596 --> 0:36:25.876
<v Speaker 2>great influential work again, and I'm curious, you know, what

0:36:25.916 --> 0:36:27.716
<v Speaker 2>do you what do you make of that? How do

0:36:27.716 --> 0:36:29.796
<v Speaker 2>you sort of fit his whole career together?

0:36:31.036 --> 0:36:34.076
<v Speaker 1>So there's a single there's a theme that unifies all

0:36:34.116 --> 0:36:39.116
<v Speaker 1>this in my mind, which is playfulness. Because in his mind,

0:36:39.476 --> 0:36:46.036
<v Speaker 1>research is really about puzzles. Uh, he doesn't understand something.

0:36:46.796 --> 0:36:48.996
<v Speaker 1>It's like a puzzle to him, and he's trying to

0:36:49.036 --> 0:36:53.476
<v Speaker 1>figure out the pieces of the puzzle. Information theory was

0:36:53.556 --> 0:36:56.916
<v Speaker 1>like that the puzzles. He sees all these real war systems,

0:36:56.996 --> 0:36:59.396
<v Speaker 1>they seem to all share some community, but nobody understood it.

0:36:59.436 --> 0:37:01.596
<v Speaker 1>So there's a puzzle, and it's always thinking about the puzzle.

0:37:02.636 --> 0:37:06.316
<v Speaker 1>And finally his paper basically solve that puzzle. So everything

0:37:06.356 --> 0:37:09.436
<v Speaker 1>to him is playfulness. I think it's playing. There's a

0:37:09.476 --> 0:37:13.076
<v Speaker 1>game puzzle and needs a soft to puzzle, and that

0:37:13.276 --> 0:37:15.716
<v Speaker 1>is mine. That's how it's my work. So although it

0:37:15.716 --> 0:37:19.956
<v Speaker 1>seems very different things that he did pre and post

0:37:20.036 --> 0:37:24.316
<v Speaker 1>inflamation theory, but it's actually in my mind quite strongly monouns.

0:37:29.796 --> 0:37:31.756
<v Speaker 2>We'll be back in a minute with the lightning round.

0:37:40.116 --> 0:37:45.476
<v Speaker 2>So I read that you recently asked people at your

0:37:45.556 --> 0:37:50.196
<v Speaker 2>company to give five minute talks. I'm curious why you

0:37:50.236 --> 0:37:51.916
<v Speaker 2>did that. That's interesting to me. Why'd you do that?

0:37:53.796 --> 0:37:59.396
<v Speaker 1>So just short to talk the harderest to give. So

0:38:00.156 --> 0:38:04.356
<v Speaker 1>you can't explain an idea in five minutes, then I

0:38:04.356 --> 0:38:05.836
<v Speaker 1>think your idea is actually not very good.

0:38:06.036 --> 0:38:08.596
<v Speaker 2>Ah, that's good.

0:38:09.316 --> 0:38:12.196
<v Speaker 1>Most good ideas you can get the point to across

0:38:12.236 --> 0:38:15.516
<v Speaker 1>in five minutes. Remember, I'm an information theorist by training,

0:38:16.796 --> 0:38:21.436
<v Speaker 1>so communication to the limit is what I'm passionate about.

0:38:21.756 --> 0:38:25.156
<v Speaker 2>If you had to give a five minute talk, what

0:38:25.196 --> 0:38:25.916
<v Speaker 2>would it be about?

0:38:27.316 --> 0:38:33.316
<v Speaker 1>How about Shutton? I guess he's my hero. He's my hero.

0:38:34.636 --> 0:38:39.196
<v Speaker 2>So one you talked about the importance of timing in

0:38:40.116 --> 0:38:44.076
<v Speaker 2>research of not only finding the right problem, but finding

0:38:44.076 --> 0:38:46.036
<v Speaker 2>the right problem at the right time. Right, both in

0:38:46.116 --> 0:38:49.156
<v Speaker 2>terms of Shannon's work and in terms of your work.

0:38:51.316 --> 0:38:54.876
<v Speaker 2>You know, you're also a professor and you know a manager, Like,

0:38:55.036 --> 0:38:58.156
<v Speaker 2>how do you help other people find the right problem

0:38:58.196 --> 0:38:58.996
<v Speaker 2>at the right time?

0:39:01.196 --> 0:39:04.716
<v Speaker 1>Yeah, finding the right problem at the right time is

0:39:04.716 --> 0:39:11.276
<v Speaker 1>probably the most difficult because you know, time is everything. However,

0:39:12.076 --> 0:39:14.796
<v Speaker 1>this is hard to teach. What we try to do

0:39:16.076 --> 0:39:21.756
<v Speaker 1>is to be ready. So one very famous information theorist

0:39:21.836 --> 0:39:25.756
<v Speaker 1>told me this. He said, you know, everybody will get

0:39:25.836 --> 0:39:30.396
<v Speaker 1>lucky at some point in time in the career. However,

0:39:30.556 --> 0:39:34.076
<v Speaker 1>most people, when they get lucky, they're not ready, so

0:39:34.116 --> 0:39:37.036
<v Speaker 1>they don't realize that they get lucky, and so they

0:39:37.076 --> 0:39:40.276
<v Speaker 1>missed the opportunity. They went a different direction. Luck tells

0:39:40.276 --> 0:39:42.396
<v Speaker 1>you should go this way, but you went the other way.

0:39:42.756 --> 0:39:43.236
<v Speaker 1>Lost it.

0:39:43.596 --> 0:39:45.516
<v Speaker 2>That makes me so scared.

0:39:45.836 --> 0:39:49.396
<v Speaker 1>And so what I teach my students is always be ready.

0:39:49.996 --> 0:39:52.476
<v Speaker 1>It's like your muscles. You have to be always training

0:39:52.476 --> 0:39:54.796
<v Speaker 1>your muscles so that when you are lucky, you can

0:39:54.836 --> 0:39:58.476
<v Speaker 1>capitalize on the lucky.

0:39:58.596 --> 0:40:02.476
<v Speaker 2>Do you So you talked about Shannon's playful nature like

0:40:02.556 --> 0:40:05.276
<v Speaker 2>he was a juggler. He wrote a unicycle You do

0:40:05.316 --> 0:40:08.876
<v Speaker 2>anything like that? You have any weird hobbies.

0:40:10.396 --> 0:40:14.276
<v Speaker 1>No, No, the only weird hobby is I love to

0:40:14.276 --> 0:40:15.116
<v Speaker 1>talk to people like.

0:40:15.116 --> 0:40:19.636
<v Speaker 2>You fair, you love going on podcasts. That that is

0:40:19.676 --> 0:40:24.116
<v Speaker 2>the juggling of the twenty first century. Who's your second

0:40:24.156 --> 0:40:25.756
<v Speaker 2>favorite underrated thinker?

0:40:27.916 --> 0:40:33.516
<v Speaker 1>My advisor Ah Gallagher? Well gallaghery. He taught me how

0:40:33.556 --> 0:40:38.916
<v Speaker 1>to think about research because you learned from Shannon and

0:40:38.916 --> 0:40:40.596
<v Speaker 1>I learned from him.

0:40:40.876 --> 0:40:44.436
<v Speaker 2>And if you boil down what your advisor learned from

0:40:44.476 --> 0:40:47.076
<v Speaker 2>Shannon and what you learned from your advisor, what would

0:40:47.076 --> 0:40:48.116
<v Speaker 2>it be? What did you learn?

0:40:49.556 --> 0:40:54.356
<v Speaker 1>Yeah, and learn about taking a very complicated problem and

0:40:54.436 --> 0:40:59.036
<v Speaker 1>strip it down to the essential and then formulate a

0:40:59.076 --> 0:41:04.396
<v Speaker 1>problem around that and solve it. That's an art. It's

0:41:04.436 --> 0:41:07.756
<v Speaker 1>not something you can to convert it into a mathematical

0:41:07.836 --> 0:41:12.676
<v Speaker 1>formula and teach students. It's just based on intuition, experience.

0:41:13.596 --> 0:41:17.756
<v Speaker 1>And that's what Shannon talked my advisor, and that's what

0:41:17.836 --> 0:41:20.236
<v Speaker 1>my advisor taught me, and that's what I try to

0:41:20.236 --> 0:41:24.236
<v Speaker 1>teach my students. Really, teaching is not really about giving

0:41:24.276 --> 0:41:27.716
<v Speaker 1>the follower is really just learning by examples. I observe

0:41:27.836 --> 0:41:31.116
<v Speaker 1>what he does, and then my students observe what I

0:41:31.236 --> 0:41:34.756
<v Speaker 1>do as I interact with them. And hopefully this art

0:41:34.956 --> 0:41:38.196
<v Speaker 1>will carry on from generation to generation.

0:41:38.636 --> 0:41:41.276
<v Speaker 2>Finding the essence of the problem.

0:41:41.476 --> 0:41:50.036
<v Speaker 1>Yeah, David.

0:41:50.076 --> 0:41:54.836
<v Speaker 2>She is a professor at Stanford. Today's show was produced

0:41:54.836 --> 0:41:58.036
<v Speaker 2>by Gabriel Hunter Chang. It was edited by Lyddy Jean

0:41:58.116 --> 0:42:01.836
<v Speaker 2>Kott and engineered by Sarah Bruguier. You can email us

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<v Speaker 2>at problem at Pushkin dot FM. I'm Jacob Goldstein and

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<v Speaker 2>we'll be back next week with another episode of What's

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<v Speaker 2>Your Problem.