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Speaker 1: Get in touch with technology with tech stuff from how

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Speaker 1: stuff works dot com. Either everyone, I'm Jonathan Strickland and

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Speaker 1: I'm Lauren foc Obama, and I'm here to talk about

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Speaker 1: pennies nil times cool and it's dollar hundred dollar bills.

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Speaker 1: I am here to really hope that that never happens again.

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Speaker 1: That's hey, if any of you know what songs that

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Speaker 1: comes from, let me know, because it's fairly obscure and

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Speaker 1: I'd be really impressed. But today we wanted to talk

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Speaker 1: about some some folks who have made a pretty penny

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Speaker 1: or a billion or so uh in in the fields

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Speaker 1: of technology or yeah, yeah, more than a billion pennies,

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Speaker 1: that's true, a bunch at least at least several billion dollars.

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Speaker 1: We took. Yes, this, we're taking a list from the

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Speaker 1: top tech Billionaires off of Forbes list, which they published

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Speaker 1: pretty much on a yearly basis, so this is probably

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Speaker 1: tween list of tech billionaires. We kind of wanted to

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Speaker 1: talk about who these people are and what they've done

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Speaker 1: to kind of get to where they're going, and maybe

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Speaker 1: some little trivia facts about yeah, a little bit of

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Speaker 1: a profile, just to see, you know, because these these

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Speaker 1: are the people that are running all of the businesses

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Speaker 1: that are creating all of the cool stuff that we

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Speaker 1: talk about basically, And so there's some of them are

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Speaker 1: who are working for the same company. There's three from

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Speaker 1: one company in fact that rhymes with Schmoogle spoiler alert. Um.

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Speaker 1: But uh, we're going to talk about the folks that

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Speaker 1: are on this list, and uh, and keep in mind,

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Speaker 1: you know, this is this is like the people who

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Speaker 1: have the most money. It does not necessarily mean they're

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Speaker 1: the most influential because at least a couple of them

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Speaker 1: are for the most part retired, right, right. And and

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Speaker 1: also it doesn't necessarily mean that they have you know,

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Speaker 1: like that kind of Scrooge McDuck giant swimming pool of

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Speaker 1: gold coins. It's mostly wrapped up in stock options, so

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Speaker 1: you know, right, but nonetheless, right, they may not have

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Speaker 1: a lot of liquid at assets compared to what they

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Speaker 1: have in investments, but hey, you know, I'm sure that

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Speaker 1: I'm sure they're not They're not hurting, probably not making

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Speaker 1: They could probably afford a nice ice cream cone on

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Speaker 1: a warm summer's day. So let's let's talk about some

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Speaker 1: of them. So, coming in at number fifteen is James Goodnight,

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Speaker 1: who has probably the most awesome name. He's I think

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Speaker 1: I think he's a PhD. So it's doctor good Night,

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Speaker 1: Doctor Goodnight. That is amazing. I did not think about

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Speaker 1: that until you said it. Dr Goodnight is awesome. Well, uh,

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Speaker 1: doctor Goodnight is worth, according to Forbes, about seven point

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Speaker 1: seven billion dollars. And and and this this is the I mean,

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Speaker 1: this is the bottom of our list. So yeah, we're going.

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Speaker 1: We're going from number fifteen down to number one. It's

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Speaker 1: a countdown. You can actually all play along at home

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Speaker 1: if you like and place bets on who you think

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Speaker 1: is in the top five. Well, we'll try not to

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Speaker 1: give any spoilers. No, but we already said that three

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Speaker 1: of them are from the same company. So as as

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Speaker 1: we get down, you're gonna be thinking, huh, alright, which

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Speaker 1: I can think of a couple of names that haven't

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Speaker 1: been mentioned yet. All right, Well, what good Night did

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Speaker 1: was he co founded a company called S a S

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Speaker 1: with John Saul's back in nineteen seventy six. And this

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Speaker 1: is a business analytics software company. Yeah, and originally it

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Speaker 1: was part of a research project. You see. Uh, James

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Speaker 1: good Night grew up in North Carolina, so he's a

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Speaker 1: neighbor of mine as far as I'm concerned. I'm born

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Speaker 1: in Georgia, so I consider folks from North Carolina my neighbors.

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Speaker 1: And he began to work with computers back when he

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Speaker 1: was a sophomore at North Carolina State University. So he

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Speaker 1: graduated with eventually with a pH d in statistics. All right,

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Speaker 1: he's he's seventy right now. If that gives you an

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Speaker 1: idea of what kind of era he was working in computers.

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Speaker 1: When he was working in computers, it was before computers

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Speaker 1: were really I think people worked on. Yeah, there certainly

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Speaker 1: were no personal computers at the time where he was

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Speaker 1: getting into them, he didn't find He and John Stiles

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Speaker 1: founded the company in nineteen seventy six, that's us when

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Speaker 1: personal computers were barely getting their start. So he uh,

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Speaker 1: he had helped design some equipment for ground stations to

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Speaker 1: communicate with the Apollo missions, which is awesome, pretty amazing. Yeah.

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Speaker 1: So he then joined the faculty of North Carolina State

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Speaker 1: and while he was a faculty member there, he began

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Speaker 1: to work on this project, which was called a Statistical

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Speaker 1: analysis system or s A S. I was for agricultural

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Speaker 1: research actually to crunch some of that data exactly statistically

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Speaker 1: analyzing the information coming back from an agricultural project. And

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Speaker 1: he realized that there was a broader application for this

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Speaker 1: kind of statistical model for lots of different industries. And

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Speaker 1: so that's when he and Saul's got together and UH

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Speaker 1: and founded s A S and UH. He led the

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Speaker 1: company to grow every single year. And he's been the

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Speaker 1: CEO for essentially thirty five years now, and every year

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Speaker 1: he's been CEO, the company has grown. And perhaps the

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Speaker 1: most remarkable thing, I think, according to to what I read,

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Speaker 1: the company has never laid off a single employee. Yeah,

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Speaker 1: they're they're supposedly completely excellent to work for. I think

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Speaker 1: there are number two behind all companies aside from Google.

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Speaker 1: Uh in like employee satisfaction. It's it's pretty amazing. Now,

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Speaker 1: that doesn't mean that someone hasn't been fired from that company,

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Speaker 1: but no one has been No one's job has been

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Speaker 1: eliminated due to like cutbacks or something, which you know,

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Speaker 1: when you're when you're talking thirty five years, that's amazing

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Speaker 1: and UH And there have been books written about his

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Speaker 1: management style. He's he's often shown as sort of a

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Speaker 1: an example to folks about how to manage a company.

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Speaker 1: I had heard that he kind of developed his philosophy

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Speaker 1: while he was working on these ground systems for NASA

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Speaker 1: because those projects had a lot of turnover, and as

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Speaker 1: a result, he was like, this is not the best

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Speaker 1: way to get anything done. It's just because you have to.

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Speaker 1: You have to ramp people up as they come into

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Speaker 1: replace people. You're set back when someone leaves share. So

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Speaker 1: I spend a lot of time just revving and spinning wheels. Yeah,

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Speaker 1: but yeah, it's you know, it's one of those companies

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Speaker 1: that Adam has all kinds of services on its campuses

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Speaker 1: and and lots of educational support and snacks in the

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Speaker 1: break room, you know. And uh, from a from a

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Speaker 1: personal standpoint, he met his wife and while he was

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Speaker 1: a senior at at North Carolina State and she was

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Speaker 1: attending Meredith College. And they have three kids. So you

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Speaker 1: gotta think, you know, a kid of a billionaire. Now,

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Speaker 1: a lot of these billionaires were gonna be talking about.

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Speaker 1: Another interesting thing I found out about a lot of

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Speaker 1: them is that many of them are philanthropists. Some of

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Speaker 1: them are philanthropists to such an extreme as to it,

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Speaker 1: you know, they plan on giving away a large amount

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Speaker 1: of their wealth before they pass on, and uh, and

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Speaker 1: I know that there. There's actually a fairly common thing

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Speaker 1: I've heard among a lot of these people who have

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Speaker 1: said they want to make sure that their their kids

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Speaker 1: understand the value of hard work and the responsibility and

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Speaker 1: not just coast along on the accomplishments of the parents.

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Speaker 1: All right, Yeah, Since so many of these people, you know,

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Speaker 1: worked themselves with the ground up, they kind of go

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Speaker 1: that that was a good life lesson. Yeah. Yeah, a

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Speaker 1: few of them had somewhat privileged upbringings, but a lot

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Speaker 1: of them actually came from from pretty humble beginnings and

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Speaker 1: had worked their way up to uh, you know, not

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Speaker 1: just not just the top of their their company, but

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Speaker 1: the top of the financial industry. So let's move on

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Speaker 1: to number fourteen. This is our first Schmoogle person, as

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Speaker 1: I recall, that's uh Eric Schmidt. Yes, yes, he was

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Speaker 1: worth a reported eight point two billion in net yep

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Speaker 1: and he was he used to be the CEO for Google.

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Speaker 1: He was the CEO for Google for several years. He's

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Speaker 1: currently the executive chairman and uh international ambassador. I think

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Speaker 1: that's a honorary title. He actually, well not just honorary,

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Speaker 1: because he went to North Korea. Yeah, he just went

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Speaker 1: with that with his daughter and um Bill Richardson to

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Speaker 1: to the leaders of North Korea about opening up internet channels. Yeah,

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Speaker 1: and apparently, uh, some of those talks actually started to

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Speaker 1: see some some results. Apparently, Uh, North Korea began to

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Speaker 1: allow foreign visitors more access to things like WiFi, and

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Speaker 1: some folks are saying it's a direct result of Eric

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Speaker 1: Schmidt's visible Uh that being said, as we're recording this podcast,

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Speaker 1: there is a kerfuffle in the North Korea area, and

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Speaker 1: so I would imagine some of those issues are becoming

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Speaker 1: a bit more complicated at the moment, as as they

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Speaker 1: tend to do when nuclear warheads are involved. But he's

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Speaker 1: you know, I always heard of Eric Schmidt as the

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Speaker 1: CEO of Google and being like a kind of this

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Speaker 1: shrewd businessman. I did not realize because I mean I

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Speaker 1: just never had looked into his background very much. I

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Speaker 1: didn't realize that he has a background not just in business,

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Speaker 1: but in actual programming. Yeah, he got his engineering degree

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Speaker 1: than a PhD in computer science. I think he didn't.

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Speaker 1: He was brought on to Google back in two thousand

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Speaker 1: one as the chief executive to bring a little bit

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Speaker 1: more business experience into the next right. He had been

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Speaker 1: the CEO of Novelle before that, and but he he

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Speaker 1: had actually co authored the lex analysis software program for

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Speaker 1: Unix and uh, and so yeah, he's he's also he's

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Speaker 1: our second PhD. Um and uh he got that University

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Speaker 1: of California while he was actually working on another project there.

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Speaker 1: So he's working on a project at the University of

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Speaker 1: California and pursues a PhD at the same time. Of course,

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Speaker 1: he was at one point the technology advisor to President Obama. Uh.

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Speaker 1: He was also at one point on the board of

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Speaker 1: directors for Apple. He did resign from that position after

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Speaker 1: it was sort of like there was some tensions between

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Speaker 1: Google and Apple, mainly stemming from iOS versus Android. In fact,

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Speaker 1: I don't think it was called iOS at the time. Yeah,

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Speaker 1: because because he joined up. But in two thousand six, um,

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Speaker 1: and and then when when everything is kind of golden

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Speaker 1: and people were going like our Google and Apple going

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Speaker 1: to make beautiful babies together, and then they were like, no,

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Speaker 1: they're not that they both had they both had babies,

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Speaker 1: and they both thought their baby was the most beauty baby.

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Speaker 1: And then they tried to fight them. Pokemon right, Yeah,

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Speaker 1: you just gave me a great business idea that I'm

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Speaker 1: going to pursue after this podcast. Bat Hey, hey, hey, hey, hey,

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Speaker 1: don't get away Vocabama. Uh yeah. So he he was

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Speaker 1: on the board of directors for Apple for a while.

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Speaker 1: He stepped down. There were there was some mounting tensions

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Speaker 1: between the two companies, and it was pretty clear that

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Speaker 1: it was going to be difficult to maintain a advisory

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Speaker 1: position at one company when York, the company you are

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Speaker 1: the CEO of, is seen as an increasingly as a competitor.

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Speaker 1: So it was considered a conflict of interest, and he

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Speaker 1: stepped down. He married a woman by the name of

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Speaker 1: Windy Boyle and had two children with her, but they

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Speaker 1: separated in two thousand eleven, and now he's dating a

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Speaker 1: concert pianist. I think one really interesting thing about a

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Speaker 1: bunch of these big, big names is that technically their

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Speaker 1: salaries are are practically nothing. In in Eric Schmidt's case,

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Speaker 1: as of two thousand eight, anyway, his salary was technically

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Speaker 1: one dollar per year. And you know, all of his

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Speaker 1: fortune is is wrapped up in all of these stock options. Yeah,

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Speaker 1: you usually end up getting the majority of your compensation

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Speaker 1: ends up coming in the form of of stocks and

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Speaker 1: other investments. Uh, which which which is fair? When you

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Speaker 1: know it's you go from a stock value of eighty

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Speaker 1: five dollars to over six hundred and three years, it

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Speaker 1: does suggest that that that you might have made one

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Speaker 1: or two good calls right in your time, especially when

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Speaker 1: when you're the one who who created the launch of

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Speaker 1: those stock options. That, yeah, that speaks well for you.

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Speaker 1: I'm almost certain that taxes have something to do with

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Speaker 1: that one dollar salary, but since I'm nowhere near a billionaire,

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Speaker 1: I don't know for sure. Uh. Let's move down to

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Speaker 1: the next person, number thirteen. Now here's the first person

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Speaker 1: whose name I'm going to butcher. It's Pierre Amadyar, who

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Speaker 1: is worth eight point seven billion dollars. He's better known

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Speaker 1: as the founder of eBay. And of course, eBay is

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Speaker 1: that auction site that did really really well. I mean

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Speaker 1: it was it exploded on the internet when it shortly

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Speaker 1: after debut. I think it debuted in in like ninety five,

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Speaker 1: it was pretty early. Yeah, eBay launched in and it

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Speaker 1: did it. Of course, was one of those companies that

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Speaker 1: gave a lot of other people the idea that the

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Speaker 1: Internet was a place to make your fortune. And uh,

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Speaker 1: and I mean, how could you deny it? I mean, obviously,

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Speaker 1: this this one idea was doing incredibly well, and it

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Speaker 1: made Pierre Almadyar a billionaire overnight when over afternoon, over

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Speaker 1: afternoon afternoon in fact, yeah, in the middle of the day.

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Speaker 1: He became a billionaire when they held the initial public

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Speaker 1: offering for eBay. Yeah, so three years after he launches,

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Speaker 1: he becomes a billionaire because is of the you know,

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Speaker 1: the interest in this company. So again that's before the

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Speaker 1: dot com bubble bursts. So I eBay had a lot

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Speaker 1: of the right parts in place to survive the dot

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Speaker 1: com bubble. But it also I think helped create the

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Speaker 1: dot com bubble in a way because all these other

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Speaker 1: people said that was possible. Why can't my idea. There's

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Speaker 1: a lot of bandwagoning that happened, and and at a

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Speaker 1: certain point, you know, yeah, you can't support hence bubble. Yeah. Yeah.

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Speaker 1: Now he was born in France, uh, and he now

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Speaker 1: makes his home in America. He is his parents were Iranian,

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Speaker 1: still are I megin He's only forty five years old.

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Speaker 1: Forty five years old, and he's given away a lot

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Speaker 1: of his wealth already. He is known as a philanthropist,

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Speaker 1: and he's one of the people who signed something called

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Speaker 1: the Giving Pledge. The Giving Pledge was something proposed by

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Speaker 1: the number one entry on our lists. That's something for

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Speaker 1: you to listen for when we get there. It was

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Speaker 1: co pledged by um CO, co created by Warren Buffett. Right,

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Speaker 1: Warren Buffett was one of the creators of the Giving Pledge.

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Speaker 1: The other one is the number one on our list.

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Speaker 1: Warren Mefett is not the number one in tech and no,

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Speaker 1: Warren Buffett does not does not. He does not appear

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Speaker 1: on this list as he is not one of the

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Speaker 1: tech guys. But he also created a philanthropic investment firm

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Speaker 1: called the Amadyar Network. And this is also not unusual.

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Speaker 1: There's several people on this list who have created uh

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Speaker 1: foundations that are actually investment firms because what they do

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Speaker 1: is they were given a certain amount of grant money

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Speaker 1: to start and then they invest that money and then

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Speaker 1: from the returns on those investments, they fund various charitable efforts.

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Speaker 1: Uh So. He graduated with a degree in computer science

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Speaker 1: from Tufts University and for a while before he founded eBay,

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Speaker 1: he worked for a subsidiary of a little company called

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Speaker 1: Apple Computer the subsidiaries called Clariss and that's when he

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Speaker 1: then went on to co found a company called Ink Development,

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Speaker 1: which was originally pin based computers, So any sort of

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Speaker 1: computer that would have a pen based operating the stuff

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Speaker 1: that you would use, that's what he originally went into.

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Speaker 1: Eventually became a shop which was an e commerce site,

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Speaker 1: and then from that he got the idea for eBay.

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Speaker 1: H I think was auction web. The first thing that

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Speaker 1: he technically sold was a broken laser pointer. Yeah, fantastic.

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Speaker 1: That just makes me think of the weird al song

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Speaker 1: about I bought it on eBay. Uh and Uh and

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Speaker 1: Almady are married Pamela care Almadyar who supposedly had a

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Speaker 1: huge Pezz Dispenser collection, and that that is this is

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Speaker 1: part of why he decided to found eBay because of

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Speaker 1: his wife's Peest Dispenser Wow collection. I did not know that.

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Speaker 1: It's always amazing to me to hear the the what

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Speaker 1: was the gene? All right? Number twelve? Oh, here we

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Speaker 1: go with a German uh Entry Hasso Plotner, who was

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Speaker 1: worth eight point nine billion dollars a going to Forbes,

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Speaker 1: and he is the co founder of German software company

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Speaker 1: s A. P, s A P, A G and U.

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Speaker 1: S A P stands for system analysis and program development

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Speaker 1: or if I'm going to butcher my German system and

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Speaker 1: system analyze on programmed vic lunk, that's I thought, Thrish.

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Speaker 1: The only thing that I can pronounce in German is

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Speaker 1: my own last name, So that's that's fair. I got

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Speaker 1: my German is terrible. Uh. He he founded this company

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Speaker 1: along with four other former IBM colleagues. So he used

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Speaker 1: to work for IBM along with these other four gentlemen

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Speaker 1: and um and they they founded this and it was

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Speaker 1: a company that made enterprise software. Now that means that

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Speaker 1: they made software for other companies. It wasn't software for

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Speaker 1: you know, you to bring home and install in your

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Speaker 1: personal computer. This is something that large companies would use.

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Speaker 1: And in the case of of S A P, it

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Speaker 1: was software that's designed to manage business operations and customer relations.

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Speaker 1: So you know, this is not something that would appeal

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Speaker 1: to small businesses. That was meant for big, big, big,

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Speaker 1: big big here. Yeah, there's a lot of database kind

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Speaker 1: of crunching going on in the process, but that means,

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Speaker 1: you know, big companies mean big customers. So it's it's

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Speaker 1: one of those things that a lot of other companies

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Speaker 1: have looked into. You know, some of the names we're

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Speaker 1: gonna be talking about will be familiar to you, but

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Speaker 1: maybe not as a customer, like a direct customer, but

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Speaker 1: rather that you know of, you know the name, and

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Speaker 1: maybe if you work for a big company and work

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Speaker 1: with those those products, you know the name of, you

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Speaker 1: know some of the software. But you know, yes, yeah,

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Speaker 1: against on your computer at home, you're not going to

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Speaker 1: have this kind of stuff installed. But um yeah yeah

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Speaker 1: he he um co founded this back in two He's

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Speaker 1: he's sixty nine as of right now. Yep, and uh

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Speaker 1: he uh he. He has an interest in lots of

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Speaker 1: different things, including yachting and UH. And his interest in yachting,

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Speaker 1: he has seen himself compete head to head against another

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Speaker 1: person who will appear on our list further down. I'll

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Speaker 1: go ahead and spoil it because it's too funny and

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Speaker 1: I will never remember by the time we get down

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Speaker 1: to this. Fellow Larry Ellison, CEO of Oracle, So Larry

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Speaker 1: Elson very well known for his yachting uh interests and

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Speaker 1: UH and how so Platinum have had so they've both

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Speaker 1: participated in yachting events where their individual yachts went directly

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Speaker 1: head to head against each other, and apparently there have

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Speaker 1: been words exchanged battle yachts, some in German battle battle

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Speaker 1: yachts driven by babies. All right, we're getting a little

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Speaker 1: too far. That's that's maybe like after season four or

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Speaker 1: five and things are starting to peter off, we have

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Speaker 1: to introduce a new twist. But yeah, I thought that

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Speaker 1: was kind of interesting that these guys and I got

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Speaker 1: really snarky in my notes, didn't. I said, it shows

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Speaker 1: that the CEO still know how to have fun, just

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Speaker 1: like the rest of us common folk. Uh. He has

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Speaker 1: also Plattner has also supported philanthropic efforts. In his case,

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Speaker 1: he has spent a lot of money UM to support

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Speaker 1: efforts in South Africa to combat AIDS and the AIDS

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Speaker 1: crisis there, along with other charitable efforts. Not just not

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Speaker 1: just that one UM and he is married and has

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Speaker 1: two kids. Alright, moving up to number eleven. Now, Lauren,

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Speaker 1: I'm gonna let you take this one. Not because because

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Speaker 1: she's the woman. What do I get that? I don't

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Speaker 1: I don't understand what you're getting at, Lauren, because we

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Speaker 1: share the same name. That's why do you know? Is

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Speaker 1: it pronounced Lauren and I believe. So, okay, all right,

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Speaker 1: Lauren Powell Jobs worth a net ten point seven billion um.

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Speaker 1: She is she is the wealthiest woman in tech in fact,

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Speaker 1: and this is this is um Steve Jobs widow, yes,

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Speaker 1: who we are talking about. So um she she most

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Speaker 1: of her wealth comes from the fact that she owns

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Speaker 1: seven point three percent of a little entertainment company you

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Speaker 1: may have heard about, Disney, yep, seven point of Disney.

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Speaker 1: That that translates to about six point nine billion dollars

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Speaker 1: worth of shares. Yeah, and this is through the trust

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Speaker 1: that Steve Jobs left to her when he passed away. Yes,

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Speaker 1: but she's also I mean, you know, it's not she

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Speaker 1: has inherited quite a bit from Steve Jobs, but she

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Speaker 1: herself has been very instrumental in several different companies. Oh. Absolutely,

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Speaker 1: she's she's only forty nine years old. She's um. She's

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Speaker 1: got a few degrees in business and um. Unlike Jobs,

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Speaker 1: she stuck with her her studies. But he met her

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Speaker 1: when she was in college, I believe, and so at

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Speaker 1: the at Stanford University. And she is the co founder

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Speaker 1: and president of the board of for College Track and

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Speaker 1: College Track as an after school program that's designed to

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Speaker 1: help high school students uh study and and excel and

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Speaker 1: also to succeed in college and uh and her interest

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Speaker 1: in education goes well beyond that, which is you know,

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Speaker 1: this makes sense too because Steve Jobs very much interested

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Speaker 1: in education when he was the head of the Next

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Speaker 1: Computer back back when Steve Jobs uh initially left Apple

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Speaker 1: or was fired from Apple, it depends on your point

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Speaker 1: of view. When he left, he founded a new company

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Speaker 1: called Next Computers, and it was really for to make

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Speaker 1: an educational computer, like a computer for education systems for students. Uh.

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Speaker 1: And then he was called back to save Apple when

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Speaker 1: it was on the brink of bankruptcy and he uh

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Speaker 1: he never really lost his his passion for education, but

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Speaker 1: he definitely had a lot more on his play at

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Speaker 1: that point. Well. She has dedicated much of her life

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Speaker 1: to working on ways to improve education and to give

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Speaker 1: students tools that they could use to improve themselves. And

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Speaker 1: she also co founded tera Vera, which is a natural

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Speaker 1: foods company. She served on the board of directors for

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Speaker 1: a couple of other companies like Achieva, which is a

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Speaker 1: company that makes study tools for students. Again and um.

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Speaker 1: She was appointed in to be part of the White

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Speaker 1: House Council for Community Solutions. She was appointed by President

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Speaker 1: Barack Obama himself. Um, and yeah, she received an NBA

397
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Speaker 1: from Stanford in n and married Steve Jobs that same

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Speaker 1: year and they had three kids together. Right, lately, she's

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Speaker 1: been really into promoting the Dream Act, which is the Development,

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Speaker 1: Relief and Education for Alien Miners Act. It's failed to

401
00:22:23,640 --> 00:22:26,480
Speaker 1: pass through Congress a couple of times now, but it

402
00:22:26,520 --> 00:22:31,880
Speaker 1: would give undocumented US citizens, undocumented US citizens, undocumented US

403
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Speaker 1: youth a chance to gain citizenship by um, either joining

404
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Speaker 1: the Armed services or going to college. Yeah. The idea

405
00:22:38,960 --> 00:22:41,760
Speaker 1: being that these are people who are going to UH

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Speaker 1: to contribute positively to society, and therefore society should extend

407
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Speaker 1: to them the opportunity opportunity, especially if they came here

408
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Speaker 1: before they were fifteen. And you know that's because that's

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Speaker 1: not at that point, that's not their fault, so right,

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Speaker 1: and beyond that, just the idea of for the United

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Speaker 1: States to succeed, we have to encourage uh, you know, excellence,

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Speaker 1: and so you know, this is one way of doing it. Yeah,

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Speaker 1: it's really interesting. Well, that's that's our first batch of five.

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Speaker 1: Let's take a quick break to thank our sponsored all right,

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Speaker 1: let's get back to talking about some of these, uh

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Speaker 1: these really influential billionaires in technology. So at number ten

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Speaker 1: we have a Zeem Premg who is worth about eleven

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Speaker 1: point two billion dollars and he's an Indian businessman who's

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Speaker 1: the chairman of white Pro Limited, which is one of

420
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Speaker 1: those companies that started doing one thing and then dramatically

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Speaker 1: changed its focus. I know, I know currently they do

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Speaker 1: they work with outsourcing. Yes, it started out making vegetable oil.

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Speaker 1: Vegetable oil, that is that is a jump. Yeah, I

424
00:23:50,240 --> 00:23:55,160
Speaker 1: started making vegetable oil for for Indian food and then, um,

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Speaker 1: it eventually began to diversify. It started making hydrogen atdive, fats,

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Speaker 1: toy the trees, soaps, lighting products, hydraulics. It is, it

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Speaker 1: is still diversifying right now. I'm it's well, the the

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Speaker 1: entire outsourcing industry is getting pretty tough right now, and

429
00:24:11,520 --> 00:24:14,840
Speaker 1: so they're they just spun off its consumer products arm

430
00:24:14,840 --> 00:24:20,320
Speaker 1: into why Pro Enterprises and bought a skincare firm in December. Yeah,

431
00:24:20,359 --> 00:24:23,440
Speaker 1: so this is, um, this is one of those things

432
00:24:23,480 --> 00:24:26,080
Speaker 1: where if you were to have the you've heard of

433
00:24:26,080 --> 00:24:28,520
Speaker 1: the elevator's speech right when you you are in an

434
00:24:28,520 --> 00:24:31,280
Speaker 1: elevator with someone else and they asked you what you do?

435
00:24:31,359 --> 00:24:34,120
Speaker 1: You have to have like a way of summing up

436
00:24:34,160 --> 00:24:36,600
Speaker 1: what you do in just about fifteen seconds, that that

437
00:24:36,720 --> 00:24:40,119
Speaker 1: explains accurately what you do. I bet this guy has

438
00:24:40,119 --> 00:24:43,399
Speaker 1: a hard time doing that. Um, especially since he's considered

439
00:24:43,600 --> 00:24:47,120
Speaker 1: Asia's most generous person. He has donated a two point

440
00:24:47,119 --> 00:24:49,440
Speaker 1: three billion and shares a why pro to his educational

441
00:24:49,440 --> 00:24:54,120
Speaker 1: foundation in February after signing that that Buffett giving pledge

442
00:24:54,280 --> 00:24:58,399
Speaker 1: Buffet slash somebody someone who could it be? And that

443
00:24:58,480 --> 00:25:00,919
Speaker 1: was on top of two million dollars that he had

444
00:25:00,960 --> 00:25:06,159
Speaker 1: already donated. So again a very generous philanthropist. Uh. And

445
00:25:06,320 --> 00:25:09,240
Speaker 1: he he actually holds a degree in electrical engineering from

446
00:25:09,280 --> 00:25:13,359
Speaker 1: Stanford University. UM. And he's married to Yasmine prim g

447
00:25:13,560 --> 00:25:16,600
Speaker 1: and they have two children. Alright, so let's move on

448
00:25:16,640 --> 00:25:18,640
Speaker 1: to number nine. Now, this is kind of interesting number nine.

449
00:25:18,920 --> 00:25:20,640
Speaker 1: This is a guy who has been on this list

450
00:25:20,720 --> 00:25:25,560
Speaker 1: several times and has a seeing his his ranking changed

451
00:25:25,760 --> 00:25:30,160
Speaker 1: pretty dramatically year over year. Uh. We expect to see

452
00:25:30,200 --> 00:25:33,560
Speaker 1: that happen a lot now because the company he founded

453
00:25:33,760 --> 00:25:36,600
Speaker 1: had an initial public offering last year back in two

454
00:25:36,640 --> 00:25:41,240
Speaker 1: thousand twelve and his personal value hinges directly upon the

455
00:25:41,280 --> 00:25:44,200
Speaker 1: stock price of his company. We are, of course talking

456
00:25:44,200 --> 00:25:48,640
Speaker 1: about Mark Zuckerberg, founder of Facebook. Yes, he is worth

457
00:25:48,680 --> 00:25:51,680
Speaker 1: a net thirteen point three billion. He is also only

458
00:25:51,720 --> 00:25:54,320
Speaker 1: twenty eight years old, which somehow had escaped me up

459
00:25:54,400 --> 00:25:57,159
Speaker 1: until I was researching this article, and that was that

460
00:25:57,240 --> 00:26:00,879
Speaker 1: was what hurts it. Really, it really does. Uh. I

461
00:26:02,119 --> 00:26:07,000
Speaker 1: am nearly a decade older than Zuckerberg, and I haven't

462
00:26:07,000 --> 00:26:10,200
Speaker 1: seen my first billion yet. But then I haven't founded

463
00:26:10,280 --> 00:26:14,359
Speaker 1: a company that has over one billion active users either,

464
00:26:14,440 --> 00:26:16,520
Speaker 1: so I can't really complain, I guess. Yeah, yeah, you

465
00:26:16,520 --> 00:26:19,280
Speaker 1: haven't been working quite as hard. Yeah. Yeah. Facebook went

466
00:26:19,320 --> 00:26:21,960
Speaker 1: public last May at a thirty eight dollars per share

467
00:26:22,359 --> 00:26:25,080
Speaker 1: and had fallen to under twenty by August. It's it's

468
00:26:25,119 --> 00:26:29,119
Speaker 1: rebounded about thirty according to Forbes since then. Yeah, this

469
00:26:29,200 --> 00:26:32,000
Speaker 1: is this was one of those you may remember, Chris

470
00:26:32,040 --> 00:26:34,880
Speaker 1: and I did a podcast all about Facebook going public

471
00:26:34,960 --> 00:26:38,000
Speaker 1: and the issues that surrounded it, and part of that

472
00:26:38,080 --> 00:26:41,480
Speaker 1: was that, um, there was there was a scandal something

473
00:26:41,480 --> 00:26:45,560
Speaker 1: of a scandal anyway, that when the the company, you know,

474
00:26:45,640 --> 00:26:49,879
Speaker 1: when the actual public offering happened, that Facebook had told

475
00:26:50,320 --> 00:26:54,239
Speaker 1: some of its larger shareholders who would have started off

476
00:26:54,320 --> 00:26:56,600
Speaker 1: right at the very beginning that the company was going

477
00:26:56,640 --> 00:26:59,760
Speaker 1: to be worth less than what they had projected earlier

478
00:26:59,760 --> 00:27:02,520
Speaker 1: in the year, and that that would in turn affect

479
00:27:02,600 --> 00:27:06,240
Speaker 1: the stock price, but the actual stock price itself, the

480
00:27:06,240 --> 00:27:10,560
Speaker 1: starting stock price didn't change, Okay, so uh so it's

481
00:27:10,560 --> 00:27:13,720
Speaker 1: like saying that you know, this five dollar uh, this

482
00:27:13,880 --> 00:27:17,000
Speaker 1: five dollar thing you bought, turns out it's really worth

483
00:27:17,040 --> 00:27:19,360
Speaker 1: more like three dollars fifty cents, but they don't tell

484
00:27:19,400 --> 00:27:21,000
Speaker 1: you that. You go and spend the five dollars and

485
00:27:21,000 --> 00:27:22,800
Speaker 1: then you go around to you turn around, you decide

486
00:27:22,840 --> 00:27:24,520
Speaker 1: you don't want you turn around to sell it to

487
00:27:24,560 --> 00:27:26,280
Speaker 1: someone else, but you can only get three dollars and

488
00:27:26,320 --> 00:27:29,680
Speaker 1: fifty cents for it. Um. It's an oversimplified way of

489
00:27:29,720 --> 00:27:32,159
Speaker 1: saying what happened, but that's it's that's essentially what happened.

490
00:27:32,440 --> 00:27:35,760
Speaker 1: And some people or some really some financial institutions knew

491
00:27:35,760 --> 00:27:37,840
Speaker 1: about this and some didn't, and that caused a bit

492
00:27:37,840 --> 00:27:41,919
Speaker 1: of a scandal. Technically, nothing was illegal, but some people

493
00:27:42,000 --> 00:27:46,679
Speaker 1: say that it may have been kind so, uh, you

494
00:27:46,720 --> 00:27:48,280
Speaker 1: know that that was a bit of a black eye.

495
00:27:48,359 --> 00:27:51,480
Speaker 1: And also again because the stock price took a hit,

496
00:27:51,920 --> 00:27:55,879
Speaker 1: Zuckerberg's personal net wealth took a hit. Yeah, but like

497
00:27:55,920 --> 00:27:58,920
Speaker 1: eight point one billion dollars. Yeah, that's that's a lot

498
00:27:58,960 --> 00:28:02,639
Speaker 1: of money. He attended Harvard College, but he did not

499
00:28:02,960 --> 00:28:08,240
Speaker 1: finish matriculating. He dropped out. Um, he created Uh you

500
00:28:08,280 --> 00:28:10,359
Speaker 1: may remember we've talked about this in the past. He

501
00:28:10,400 --> 00:28:14,720
Speaker 1: created an application called facemash, which allowed people to vote

502
00:28:14,760 --> 00:28:17,840
Speaker 1: on the attractiveness of their fellow students and all right, yeah,

503
00:28:17,920 --> 00:28:19,919
Speaker 1: I remember that from from the social network more than

504
00:28:19,920 --> 00:28:22,720
Speaker 1: anything else. Um, yeah, you know, I mean it was

505
00:28:22,800 --> 00:28:25,560
Speaker 1: just if you could, you could call it tacky, but

506
00:28:25,840 --> 00:28:29,320
Speaker 1: we've seen plenty more of those sort of things pop up,

507
00:28:29,359 --> 00:28:34,000
Speaker 1: mostly from people who voluntarily share their image. Face mash

508
00:28:34,080 --> 00:28:35,800
Speaker 1: was kind of similar to that. But then he launched

509
00:28:35,840 --> 00:28:38,360
Speaker 1: Facebook in two thousand and four while he was a

510
00:28:38,400 --> 00:28:41,320
Speaker 1: student at Harvard, and it dropped out to focus primarily

511
00:28:41,360 --> 00:28:45,920
Speaker 1: upon Facebook, and it got kind of a little popular hit.

512
00:28:46,040 --> 00:28:50,520
Speaker 1: You know again, one billion users, so that was pretty exciting. Uh.

513
00:28:50,600 --> 00:28:52,880
Speaker 1: He also is one of the people who has signed

514
00:28:53,000 --> 00:28:57,160
Speaker 1: this giving pledge that we talked about that Buffett and

515
00:28:58,560 --> 00:29:02,400
Speaker 1: uh came up with, and so he's probably that pledge.

516
00:29:02,440 --> 00:29:06,000
Speaker 1: By the way, states that the people who signed it

517
00:29:06,000 --> 00:29:09,200
Speaker 1: are promising essentially to give away at least half of

518
00:29:09,280 --> 00:29:15,240
Speaker 1: their wealth before. So yeah, he's he's also um glass

519
00:29:15,240 --> 00:29:19,560
Speaker 1: Doors top employee rated CEO. Oh okay, yeah he uh

520
00:29:19,720 --> 00:29:22,520
Speaker 1: he also I remember back when he was known as

521
00:29:22,560 --> 00:29:24,840
Speaker 1: the guy who would only eat what he could kill.

522
00:29:25,360 --> 00:29:26,840
Speaker 1: I don't know, did you ever read that or hear

523
00:29:26,880 --> 00:29:29,520
Speaker 1: about that? I heard, I heard a crazy internet rumor

524
00:29:29,560 --> 00:29:31,360
Speaker 1: about it, but I don't think that I saw it

525
00:29:31,360 --> 00:29:34,240
Speaker 1: on a reputable source. So I heard about on so

526
00:29:34,280 --> 00:29:37,560
Speaker 1: many tech podcasts back when that that kind of news

527
00:29:37,560 --> 00:29:41,480
Speaker 1: story broke. But then in he posted on his Facebook

528
00:29:41,480 --> 00:29:44,520
Speaker 1: profile that he is now a vegetarian. So maybe he's

529
00:29:44,560 --> 00:29:47,360
Speaker 1: a really bad hunter and he can only catch cucumbers.

530
00:29:48,480 --> 00:29:51,000
Speaker 1: I think only cares would be about my speed personally,

531
00:29:51,120 --> 00:29:56,280
Speaker 1: Mr Zuckerberg. I'm just joshing, Please don't hunt me. Um

532
00:29:56,320 --> 00:30:00,320
Speaker 1: he got married in to Priscilla Chan and and uh

533
00:30:00,600 --> 00:30:04,520
Speaker 1: so yeah he's. Um, he's he's doing pretty well for himself,

534
00:30:05,040 --> 00:30:09,080
Speaker 1: not too bad that despite that one point year old

535
00:30:09,120 --> 00:30:11,960
Speaker 1: and ranked number nine in tech billion. Well last year

536
00:30:11,960 --> 00:30:14,280
Speaker 1: he was six, So really he should he should feel bad.

537
00:30:14,960 --> 00:30:17,120
Speaker 1: He's bad, and he should feel bad, right exactly just

538
00:30:17,160 --> 00:30:20,920
Speaker 1: like I do every day. Number eight Paul Allen Allen

539
00:30:20,960 --> 00:30:23,480
Speaker 1: worth in that fifteen billion. He's one of the co

540
00:30:23,600 --> 00:30:28,000
Speaker 1: founders of Microsoft, the other one being well, you know, anyway,

541
00:30:28,040 --> 00:30:31,479
Speaker 1: so he co founded Microsoft. He made a lot of

542
00:30:31,600 --> 00:30:35,680
Speaker 1: his current wealth in real estate. Yeah, Vulcan real Estate.

543
00:30:35,880 --> 00:30:39,440
Speaker 1: It's the name of his company, Vulcan Incorporate. Yeah, which

544
00:30:39,480 --> 00:30:42,400
Speaker 1: also manages his philanthropic efforts, because, like several the other

545
00:30:42,480 --> 00:30:46,080
Speaker 1: billionaires on this list, he is a philanthropist. He is

546
00:30:46,080 --> 00:30:48,920
Speaker 1: also another dropout. He went to Washington State University but

547
00:30:49,000 --> 00:30:52,120
Speaker 1: dropped out after two years to start working in Honeywell

548
00:30:52,360 --> 00:30:59,520
Speaker 1: in Boston. Um. And he owns a couple of sports teams, right, yeah,

549
00:30:59,520 --> 00:31:03,320
Speaker 1: the Seattle Seahawks and the Portland's Trailblazers. Yeah, it's a

550
00:31:03,440 --> 00:31:06,200
Speaker 1: it's a football game and our football game football team,

551
00:31:06,280 --> 00:31:08,720
Speaker 1: and the basketball team. I'm not big on the sports,

552
00:31:08,880 --> 00:31:11,920
Speaker 1: as it turns out. Yeah, yeah, we neither of us,

553
00:31:11,960 --> 00:31:14,680
Speaker 1: I think, are really really only to two sports I

554
00:31:14,720 --> 00:31:17,720
Speaker 1: follow in either of them are football or basketball. Just

555
00:31:18,120 --> 00:31:21,120
Speaker 1: baseball and hockey. And I don't follow hockey anymore because

556
00:31:21,480 --> 00:31:23,960
Speaker 1: I was gonna say pro wrestling, that's not sport, that

557
00:31:24,040 --> 00:31:28,920
Speaker 1: sports entertainment alright, Um, but anyway, Paul Ellen lately has

558
00:31:28,920 --> 00:31:30,800
Speaker 1: been selling off a lot of his shares of Microsoft

559
00:31:30,800 --> 00:31:33,720
Speaker 1: and starting to UM invest and diversify in a bunch

560
00:31:33,720 --> 00:31:37,000
Speaker 1: of other stuff. UM. And he's he's also he lost

561
00:31:37,000 --> 00:31:40,360
Speaker 1: his mother recently to Alzheimer's and related complications and has

562
00:31:40,400 --> 00:31:46,400
Speaker 1: been UM really active in brain research. UM donated five

563
00:31:46,520 --> 00:31:49,520
Speaker 1: hundred million to the Allen Institute for Brain Science. Yeah,

564
00:31:49,640 --> 00:31:54,600
Speaker 1: he's he's made some substantial contributions financial contributions to lots

565
00:31:54,600 --> 00:31:59,520
Speaker 1: of different nonprofit organizations. UM. He also just another here's

566
00:31:59,520 --> 00:32:02,080
Speaker 1: a little trip you for you. When he took the

567
00:32:02,160 --> 00:32:04,320
Speaker 1: S A T S he got a perfect score. Perfect.

568
00:32:05,360 --> 00:32:08,000
Speaker 1: That was back in both sides. I haven't heard about

569
00:32:08,000 --> 00:32:10,960
Speaker 1: the math, but I hadn't heard about Yeah, back when

570
00:32:10,960 --> 00:32:13,240
Speaker 1: the S S went up to six. Yeah, that was

571
00:32:13,680 --> 00:32:15,680
Speaker 1: by the way back back in the That's how it

572
00:32:15,720 --> 00:32:18,720
Speaker 1: was when I took to so back in the day, kids,

573
00:32:19,720 --> 00:32:21,840
Speaker 1: was the top score you can make and you could

574
00:32:21,880 --> 00:32:25,840
Speaker 1: not You couldn't fudge that, like that was a perfect score.

575
00:32:26,320 --> 00:32:28,800
Speaker 1: You know, because there are versions of the S A

576
00:32:28,880 --> 00:32:32,160
Speaker 1: T since then where you could quote unquote hit a

577
00:32:32,160 --> 00:32:35,640
Speaker 1: perfect score even if you didn't answer all the questions. UM. Also,

578
00:32:35,880 --> 00:32:39,080
Speaker 1: there was no essay back then. It's just math and

579
00:32:39,160 --> 00:32:44,400
Speaker 1: the math and the words things English. That's it, those

580
00:32:44,440 --> 00:32:48,040
Speaker 1: word things that we do. Yeah, we do. Anyway, he

581
00:32:48,080 --> 00:32:51,000
Speaker 1: made a perfect score on that. So yes, smart guy.

582
00:32:51,440 --> 00:32:54,560
Speaker 1: Um he never never married. He is, he's a bachelor.

583
00:32:54,720 --> 00:32:59,840
Speaker 1: He's had, uh had, just the only bachelor I think

584
00:32:59,880 --> 00:33:01,440
Speaker 1: that we have on this list. Is there a call

585
00:33:01,560 --> 00:33:03,120
Speaker 1: I might be wrong about that. We'll find out when

586
00:33:03,120 --> 00:33:06,640
Speaker 1: we get towards the very bottom. But um, yeah, never married.

587
00:33:06,800 --> 00:33:10,440
Speaker 1: Number seven. Interesting guy. Uh, this is a guy that

588
00:33:10,480 --> 00:33:14,440
Speaker 1: I've seen in action on stage in person, and he

589
00:33:14,640 --> 00:33:18,360
Speaker 1: is a force to be reckoned with. We're talking about

590
00:33:18,600 --> 00:33:24,040
Speaker 1: Steve Balmer, CEO of Microsoft. So we just went and chairman. Yes,

591
00:33:24,040 --> 00:33:26,080
Speaker 1: we just went from the one of the co founders

592
00:33:26,120 --> 00:33:30,440
Speaker 1: of Microsoft to the current CEO. He's worth a net

593
00:33:30,440 --> 00:33:34,880
Speaker 1: fifteen point two billion. He was born in Detroit and

594
00:33:35,040 --> 00:33:37,760
Speaker 1: uh he also went to Harvard University, but he finished

595
00:33:38,320 --> 00:33:42,480
Speaker 1: Uh he like Zuckerberg, he earned a degree in mathematics

596
00:33:42,600 --> 00:33:46,200
Speaker 1: and one in economics. Um. And he met he met

597
00:33:46,280 --> 00:33:49,080
Speaker 1: one of the the other co founder of Microsoft, Bill Gates.

598
00:33:49,120 --> 00:33:52,400
Speaker 1: He met him back in college, right, yeah, yeah, he

599
00:33:52,400 --> 00:33:54,160
Speaker 1: he had he had started going to Stanford for a

600
00:33:54,200 --> 00:33:57,440
Speaker 1: graduate degree. Um. And that was about when Bill Gates

601
00:33:57,480 --> 00:33:58,680
Speaker 1: was like, Hey, do you want to come work on

602
00:33:58,720 --> 00:34:01,280
Speaker 1: this crazy project? And he was like, yeah, sure. Yeah.

603
00:34:01,360 --> 00:34:04,480
Speaker 1: So Bill Gates and Paul Allen had founded uh Microsoft

604
00:34:04,520 --> 00:34:06,880
Speaker 1: in the seventies. They invite Steve Bomber to come and

605
00:34:06,920 --> 00:34:09,920
Speaker 1: work for Microsoft. He drops out of grad school at

606
00:34:09,960 --> 00:34:13,520
Speaker 1: Stanford and he becomes the thirtieth employee of Microsoft and

607
00:34:13,600 --> 00:34:16,880
Speaker 1: was a business manager. His salary was about fifty thousand

608
00:34:16,920 --> 00:34:19,640
Speaker 1: dollars a year when he first started, and he had

609
00:34:19,840 --> 00:34:23,319
Speaker 1: also received a percentage of ownership and Microsoft uh and

610
00:34:23,400 --> 00:34:25,800
Speaker 1: so when it went public, he held about eight percent

611
00:34:26,360 --> 00:34:29,320
Speaker 1: of the company and since since that time, he sold

612
00:34:29,880 --> 00:34:32,280
Speaker 1: some of that stock off about a little bit about

613
00:34:32,480 --> 00:34:35,120
Speaker 1: around half of it, a little less than half um

614
00:34:35,160 --> 00:34:38,760
Speaker 1: and in became the executive vice president of sales and Support.

615
00:34:39,239 --> 00:34:42,480
Speaker 1: Then shortly thereafter he became the president of Microsoft. And

616
00:34:42,480 --> 00:34:45,279
Speaker 1: then when Bill Gates decided to resign to step down

617
00:34:45,280 --> 00:34:49,839
Speaker 1: as CEO. Yeah, so he's he's been he's been working

618
00:34:49,840 --> 00:34:51,440
Speaker 1: there for a total of thirty three years and it's

619
00:34:51,480 --> 00:34:55,160
Speaker 1: been CEO for thirteen. Um. He's he's actually a little

620
00:34:55,200 --> 00:34:57,080
Speaker 1: bit of a of a contentious CEO right now. He

621
00:34:57,120 --> 00:34:59,840
Speaker 1: only has a forty seven percent approval rating by the

622
00:35:00,000 --> 00:35:03,560
Speaker 1: employees over at Microsoft, according to glass Door. And um, yeah,

623
00:35:03,760 --> 00:35:06,319
Speaker 1: that the Microsoft stock has been down. It's down like

624
00:35:06,320 --> 00:35:09,319
Speaker 1: like one point three two over last year or over

625
00:35:09,320 --> 00:35:11,839
Speaker 1: the past five years with a seven percent drops it's

626
00:35:11,960 --> 00:35:16,200
Speaker 1: last year. Yeah, there's been there have been several uh,

627
00:35:16,480 --> 00:35:20,520
Speaker 1: critical reports about Steve Bomber's performance as CEO and whether

628
00:35:20,640 --> 00:35:23,200
Speaker 1: or not the company's on the right track. Uh. And

629
00:35:23,280 --> 00:35:25,239
Speaker 1: you know there are people who point out products like

630
00:35:25,280 --> 00:35:28,080
Speaker 1: Windows Vista or Windows eight and saying, you know that

631
00:35:28,200 --> 00:35:30,239
Speaker 1: this is an indication that perhaps there needs to be

632
00:35:30,280 --> 00:35:34,760
Speaker 1: someone else leading the way. Um. And also the mobile

633
00:35:34,760 --> 00:35:39,439
Speaker 1: performance of Windows versus Apple, and that they said that

634
00:35:39,440 --> 00:35:42,359
Speaker 1: the Microsoft didn't move on that fast enough and they

635
00:35:42,360 --> 00:35:45,840
Speaker 1: weren't innovators, they were followers. Uh. There are some areas

636
00:35:45,880 --> 00:35:48,440
Speaker 1: of Microsoft that I think you can say pretty strongly

637
00:35:48,480 --> 00:35:50,520
Speaker 1: are are are doing really well. One of them is

638
00:35:50,600 --> 00:35:52,560
Speaker 1: something that Lauren and I both enjoy, which is the

639
00:35:53,000 --> 00:35:57,400
Speaker 1: Xbox Console. Um. But you know, there's definitely been a

640
00:35:57,440 --> 00:36:01,799
Speaker 1: lot of criticism. Uh. Also there's the famous if if

641
00:36:01,840 --> 00:36:03,600
Speaker 1: Chris were here, he would demand that I do this.

642
00:36:04,160 --> 00:36:06,920
Speaker 1: There was the famous presentation where Steve Bomber got up

643
00:36:06,960 --> 00:36:12,200
Speaker 1: on stage and started chanting developers, developers, developers, developers, developers,

644
00:36:12,560 --> 00:36:16,560
Speaker 1: and clapping his hands and and moving around like like well,

645
00:36:16,640 --> 00:36:19,160
Speaker 1: like a crazy person. There's no easy way of saying this.

646
00:36:19,200 --> 00:36:23,040
Speaker 1: If you've not seen the video, the famous Steve Bomber Developers, developers,

647
00:36:23,080 --> 00:36:26,520
Speaker 1: developers video, go to YouTube and do a search. You

648
00:36:26,560 --> 00:36:28,600
Speaker 1: really just have to search for the word developers, and

649
00:36:28,640 --> 00:36:32,360
Speaker 1: it looks gonna pop up, trust me. So he he's

650
00:36:32,400 --> 00:36:36,120
Speaker 1: an interesting guy. He married Connie Snyder in nineteen and

651
00:36:36,120 --> 00:36:39,800
Speaker 1: they have three kids. Uh. And he's only the second

652
00:36:39,920 --> 00:36:43,359
Speaker 1: person ever in the United States anyway to become a

653
00:36:43,360 --> 00:36:47,400
Speaker 1: billionaire due to stock options he received as an employee

654
00:36:47,440 --> 00:36:50,160
Speaker 1: of a corporation where he was neither the founder nor

655
00:36:50,239 --> 00:36:53,880
Speaker 1: the relative of a founder. So the very first person

656
00:36:53,920 --> 00:36:58,919
Speaker 1: was Roberto Goizetta of Coca Cola. He is he is also,

657
00:36:59,000 --> 00:37:00,320
Speaker 1: and this is going to come back in a minute,

658
00:37:00,360 --> 00:37:03,000
Speaker 1: leading a group of investors that's trying to buy the

659
00:37:03,040 --> 00:37:06,080
Speaker 1: Sacramento Kings, which is a which is a basketball team, um,

660
00:37:06,120 --> 00:37:09,239
Speaker 1: and move them to Seattle, right, So I've heard of basketball.

661
00:37:09,480 --> 00:37:13,440
Speaker 1: That's interesting. So yeah, interesting guy. And you know, again,

662
00:37:13,600 --> 00:37:17,480
Speaker 1: there's a lot of debate about his performance about his

663
00:37:17,520 --> 00:37:22,040
Speaker 1: management style. Um, and I'll be curious to see, like

664
00:37:22,400 --> 00:37:24,839
Speaker 1: the next over the next five years, what happens over

665
00:37:24,840 --> 00:37:27,120
Speaker 1: at Microsoft. It's it's one of those things where even

666
00:37:27,160 --> 00:37:31,399
Speaker 1: I have some years said I'm surprised that the shareholders

667
00:37:31,400 --> 00:37:37,120
Speaker 1: haven't made but you know, at the same time, uh,

668
00:37:37,200 --> 00:37:41,000
Speaker 1: you know, Palmer's had decades of experience at that company.

669
00:37:41,120 --> 00:37:45,480
Speaker 1: So and you know, I'm not a business person, so

670
00:37:45,560 --> 00:37:47,920
Speaker 1: for me, for me, it's all like you know, oh, well,

671
00:37:47,960 --> 00:37:50,520
Speaker 1: I could easily see that someone else needs to be right.

672
00:37:50,760 --> 00:37:52,680
Speaker 1: It's easy for us to sit back here and go like, wow,

673
00:37:52,719 --> 00:37:54,880
Speaker 1: why are they doing? And then but if you were

674
00:37:54,920 --> 00:37:56,480
Speaker 1: to put me in charge of that company, we'd be

675
00:37:56,520 --> 00:37:59,840
Speaker 1: bankrupt in two days, you know, all right? Moving on

676
00:37:59,880 --> 00:38:02,880
Speaker 1: to number six, Jonathan liquified all of our shares too,

677
00:38:02,920 --> 00:38:05,239
Speaker 1: kit Cats and pulled himself off in the back off

678
00:38:05,600 --> 00:38:08,759
Speaker 1: butterfinger actually, but yes, yeah, that's that's not a bad guest.

679
00:38:08,800 --> 00:38:10,560
Speaker 1: I'm sure would be at least a few kit Cats.

680
00:38:11,320 --> 00:38:14,960
Speaker 1: Oh good times. It's number six is uh is the

681
00:38:15,239 --> 00:38:18,000
Speaker 1: co founder of another company or a founder of another company?

682
00:38:18,440 --> 00:38:22,760
Speaker 1: Michael Dell worth a net fifteen point three billion. Dude,

683
00:38:22,760 --> 00:38:26,799
Speaker 1: He needed lots of dells there he's the founder and

684
00:38:26,840 --> 00:38:30,120
Speaker 1: CEO of Dell Incorporated, Dell Computers. So that's one of

685
00:38:30,160 --> 00:38:35,319
Speaker 1: those companies that made personal computers a viable business, right right,

686
00:38:35,320 --> 00:38:38,880
Speaker 1: This was back they founded it. Yeah, yeah, it was

687
00:38:40,200 --> 00:38:42,920
Speaker 1: while he was attending the University of Texas at Austin,

688
00:38:43,480 --> 00:38:45,919
Speaker 1: which he dropped out of. He's another dropout on our list,

689
00:38:47,000 --> 00:38:49,799
Speaker 1: and became the youngest CEO to have his company ranked

690
00:38:49,800 --> 00:38:53,440
Speaker 1: in Fortune's Top five corporations. He was only twenty seven

691
00:38:53,440 --> 00:38:56,960
Speaker 1: at the time that that happened. Uh so, you know, again,

692
00:38:57,200 --> 00:39:02,719
Speaker 1: pretty amazing and and uh very determined. He became interested

693
00:39:02,800 --> 00:39:06,160
Speaker 1: in investments when he was still a teenager, Like he

694
00:39:06,200 --> 00:39:09,040
Speaker 1: would take part time jobs, and instead of just you know,

695
00:39:09,200 --> 00:39:12,520
Speaker 1: putting the money away or or spending it on something frivolous,

696
00:39:12,560 --> 00:39:15,400
Speaker 1: he was actually investing in things like precious metals and

697
00:39:15,480 --> 00:39:19,719
Speaker 1: stocks as a team. That's that would probably be why

698
00:39:19,760 --> 00:39:22,960
Speaker 1: he's worth fifteen point three billion and I'm worth a negative.

699
00:39:23,080 --> 00:39:26,640
Speaker 1: And I also I also read an interesting story. I

700
00:39:26,719 --> 00:39:28,239
Speaker 1: don't know if this is true or not, and I'm

701
00:39:28,239 --> 00:39:30,279
Speaker 1: I'm paraphrasing because I didn't write this down on my notes,

702
00:39:30,320 --> 00:39:33,320
Speaker 1: but I read a story that he had discovered, um

703
00:39:33,320 --> 00:39:36,520
Speaker 1: like he had essentially was what amounted to a paper route,

704
00:39:36,719 --> 00:39:40,960
Speaker 1: where it was really him selling newspapers, selling newspaper subscriptions. Okay,

705
00:39:41,280 --> 00:39:43,840
Speaker 1: so he's selling newspaper subscriptions, really more of a salesperson

706
00:39:43,880 --> 00:39:46,960
Speaker 1: for a newspaper. And he noticed a trend, and this

707
00:39:47,040 --> 00:39:49,040
Speaker 1: is something that he got really good at. It is

708
00:39:49,040 --> 00:39:52,600
Speaker 1: is uh, analyzing systems and seeing how best to work

709
00:39:52,800 --> 00:39:55,200
Speaker 1: within a system or to manipulate that system, not in

710
00:39:55,239 --> 00:39:59,319
Speaker 1: a bad way, but just the most advantageous way. He

711
00:39:59,440 --> 00:40:02,600
Speaker 1: started to just that people who were moving into the

712
00:40:02,640 --> 00:40:06,879
Speaker 1: city were more likely to subscribe to a newspaper as

713
00:40:06,920 --> 00:40:10,160
Speaker 1: part of establishing their new home, and so he began

714
00:40:10,200 --> 00:40:13,400
Speaker 1: to target people he had, like he would get records

715
00:40:13,480 --> 00:40:16,520
Speaker 1: showing where houses had just been bought, and he would

716
00:40:16,520 --> 00:40:21,040
Speaker 1: target those as his as his places to sell papers.

717
00:40:21,080 --> 00:40:23,000
Speaker 1: So he was I think in college at this time,

718
00:40:23,040 --> 00:40:24,319
Speaker 1: or maybe it was actually I think it was high

719
00:40:24,360 --> 00:40:27,040
Speaker 1: school at this time, and if I'm not mistaken, he

720
00:40:27,120 --> 00:40:30,279
Speaker 1: made something like eighteen thousand dollars doing this, which was

721
00:40:30,320 --> 00:40:35,080
Speaker 1: more than what his teacher was making. Yeah. So, uh

722
00:40:35,160 --> 00:40:38,840
Speaker 1: so he was putting that kind of brain power to

723
00:40:38,960 --> 00:40:40,800
Speaker 1: use when he was in the university and he began

724
00:40:40,840 --> 00:40:44,280
Speaker 1: to realize that. He started to to offer to build

725
00:40:44,320 --> 00:40:47,040
Speaker 1: and sell PCs to other students and noticed that this

726
00:40:47,120 --> 00:40:49,799
Speaker 1: was a viable way of making money, and so he

727
00:40:49,880 --> 00:40:53,239
Speaker 1: became he started a company called PCs Limited that would

728
00:40:53,239 --> 00:40:57,800
Speaker 1: eventually become del Incorporated. Uh. He married Susan Lynn Lieberman

729
00:40:57,960 --> 00:41:00,759
Speaker 1: in nineteen nine and they have four children together. And

730
00:41:00,800 --> 00:41:04,000
Speaker 1: they also established the Michael and Susan Dell Foundation, which

731
00:41:04,040 --> 00:41:07,720
Speaker 1: is a philanthropic organization that focuses primarily on child health

732
00:41:07,760 --> 00:41:11,320
Speaker 1: and family economic stability. They are committed to donating a

733
00:41:11,400 --> 00:41:13,960
Speaker 1: hundred million a year to that. UM. Dell meanwhile, is

734
00:41:13,960 --> 00:41:17,480
Speaker 1: not doing extraordinarily well these days there. Um uh, their

735
00:41:17,520 --> 00:41:21,239
Speaker 1: stock is done I think from as a February from

736
00:41:21,320 --> 00:41:24,239
Speaker 1: last year, and um, Michael Dell has announced that he

737
00:41:24,239 --> 00:41:27,400
Speaker 1: wants to take Dell private and is trying to strike

738
00:41:27,400 --> 00:41:29,520
Speaker 1: an agreement with the shareholders right now, who are not

739
00:41:29,640 --> 00:41:32,520
Speaker 1: really excited about the deal. Yeah. He his plan was

740
00:41:32,600 --> 00:41:35,560
Speaker 1: to buy back all those shares make it a private

741
00:41:35,560 --> 00:41:38,439
Speaker 1: company again, so essentially reversing the I p O. Yeah,

742
00:41:38,719 --> 00:41:41,640
Speaker 1: for for twenty four point four billion, which the shareholders

743
00:41:41,640 --> 00:41:44,120
Speaker 1: are going like that's what. Yeah, they're saying that's way

744
00:41:44,120 --> 00:41:47,480
Speaker 1: too that's that's that's undervaluing the company, is their argument,

745
00:41:47,520 --> 00:41:49,799
Speaker 1: whereas his argument is, if we keep going the way

746
00:41:49,800 --> 00:41:53,160
Speaker 1: we're going, this company is going to be worthless. So, um,

747
00:41:53,200 --> 00:41:55,480
Speaker 1: it'll be interesting to see how that works out, because

748
00:41:55,560 --> 00:41:57,960
Speaker 1: you know, it's one of those there are times when

749
00:41:57,960 --> 00:42:00,800
Speaker 1: a company goes public where you realize further down the

750
00:42:00,880 --> 00:42:02,560
Speaker 1: road that that was that was not a good deal,

751
00:42:02,840 --> 00:42:05,759
Speaker 1: because again, you have to answer to shareholders. Sometimes that's

752
00:42:05,760 --> 00:42:08,719
Speaker 1: a great thing. Sometimes it's exactly what a company needs

753
00:42:08,760 --> 00:42:11,799
Speaker 1: to succeed. Other times, like in this case, you can

754
00:42:11,800 --> 00:42:14,200
Speaker 1: tell that maybe that was the you know, maybe it

755
00:42:14,239 --> 00:42:16,839
Speaker 1: was the right decision at the time, but it's no longer. Yeah, yeah,

756
00:42:16,840 --> 00:42:18,960
Speaker 1: it's it's at this point, you know, it's it's computer

757
00:42:19,120 --> 00:42:22,799
Speaker 1: industry needs to be nimble, and dealing shareholders is never

758
00:42:22,840 --> 00:42:25,640
Speaker 1: really a nimble It's pretty hard to reverse that decision

759
00:42:25,640 --> 00:42:27,600
Speaker 1: once it happens, too. But we'll see if that that

760
00:42:27,880 --> 00:42:31,399
Speaker 1: pans out. Well, we're about to go into our top five.

761
00:42:31,480 --> 00:42:34,360
Speaker 1: Before we do, I'd like to take a quick moment

762
00:42:34,400 --> 00:42:38,520
Speaker 1: to thank our other sponsor. So we're getting into the

763
00:42:38,520 --> 00:42:45,160
Speaker 1: top five here. Number five is another person from Schmoogle.

764
00:42:46,719 --> 00:42:49,799
Speaker 1: We can say the name now, it's not. I kind of,

765
00:42:49,920 --> 00:42:51,799
Speaker 1: I kind of can't can't help myself. At this point,

766
00:42:52,040 --> 00:42:54,160
Speaker 1: we're talking about sarag A. Brenn, who was one of

767
00:42:54,239 --> 00:42:56,480
Speaker 1: the co founders of Google. Yes, he is worth a

768
00:42:56,560 --> 00:42:59,720
Speaker 1: net twenty two point eight billion, and he's the director

769
00:42:59,760 --> 00:43:02,560
Speaker 1: of Astural Projects at Google, which means that he gets

770
00:43:02,560 --> 00:43:06,200
Speaker 1: to oversee the super awesome, cool ridiculous stuff like the

771
00:43:06,239 --> 00:43:10,000
Speaker 1: autonomous cars, Google Glass, Yeah, things, things like that kind

772
00:43:10,000 --> 00:43:13,040
Speaker 1: of stuff where you know, we've heard rumor that Google

773
00:43:13,160 --> 00:43:16,080
Speaker 1: might have a smart watch in the works that could

774
00:43:16,120 --> 00:43:21,080
Speaker 1: have an augmented reality application included in this UM I

775
00:43:21,160 --> 00:43:24,800
Speaker 1: would imagine that falls under his jurisdiction as a special project.

776
00:43:25,280 --> 00:43:27,919
Speaker 1: So it's pretty clear that sarage Brand wants to become

777
00:43:27,920 --> 00:43:31,960
Speaker 1: a cyborg and rule us all. Uh. He he's a smart,

778
00:43:32,040 --> 00:43:35,719
Speaker 1: smart guy. His his parents were both from Moscow and

779
00:43:36,160 --> 00:43:39,239
Speaker 1: right they moved the family to America when he was six, yes,

780
00:43:39,239 --> 00:43:42,040
Speaker 1: six years old. His father was a mathematics professor at

781
00:43:42,040 --> 00:43:45,560
Speaker 1: the University of Moscow and his mother ended up being

782
00:43:45,719 --> 00:43:50,279
Speaker 1: a researcher for ye NASA. Sorry, sorry I cut off here.

783
00:43:50,920 --> 00:43:52,680
Speaker 1: It's gonna be it's gonna be smart to you, but

784
00:43:52,760 --> 00:43:56,840
Speaker 1: you d snartified me, that's fine. The listeners wish they

785
00:43:56,840 --> 00:43:59,919
Speaker 1: could do it all the time. Yeah. So the point

786
00:44:00,000 --> 00:44:06,399
Speaker 1: being that his parents wicked smart, like you know, already mathematicians, researchers,

787
00:44:07,160 --> 00:44:09,759
Speaker 1: really smart people. Um, some of the people on this

788
00:44:09,800 --> 00:44:12,160
Speaker 1: list we've talked about our folks who you know, they

789
00:44:12,200 --> 00:44:16,080
Speaker 1: came from maybe not you know, humble beginnings, but not there.

790
00:44:16,120 --> 00:44:19,560
Speaker 1: The parents were not necessarily like normal people more or less. Yeah, Yeah,

791
00:44:19,880 --> 00:44:21,200
Speaker 1: I'm not gonna. I'm not gonna. I mean, you know,

792
00:44:21,280 --> 00:44:24,080
Speaker 1: I personally don't have any parents who have worked for NASA,

793
00:44:24,160 --> 00:44:25,799
Speaker 1: so I'm a little bit impressed when I hear about

794
00:44:25,800 --> 00:44:27,799
Speaker 1: that kind of thing. Neither of my parents have worked

795
00:44:27,840 --> 00:44:31,239
Speaker 1: for NASA either. Um. But yeah, when he was six,

796
00:44:31,360 --> 00:44:34,400
Speaker 1: the family immigrated to the United States. Uh. He received

797
00:44:34,440 --> 00:44:37,440
Speaker 1: degrees in mathematics and computer science at the University of Maryland,

798
00:44:37,480 --> 00:44:39,760
Speaker 1: and then he went to go do some graduate study

799
00:44:40,600 --> 00:44:43,640
Speaker 1: research over at the at Stanford University. He wanted to

800
00:44:43,640 --> 00:44:48,000
Speaker 1: eventually get a PhD. Uh. He's still working toward that.

801
00:44:48,520 --> 00:44:51,919
Speaker 1: His his studies are on indefinite hold right now, so

802
00:44:52,520 --> 00:44:56,360
Speaker 1: technically he hasn't dropped out of grad school right in Stanford.

803
00:44:56,360 --> 00:44:58,880
Speaker 1: Doesn't really want to go get on the boot. I

804
00:44:58,920 --> 00:45:01,040
Speaker 1: don't think, but I mean, you know, all depends. Like

805
00:45:01,120 --> 00:45:04,160
Speaker 1: Stanford's already got that that record of other people who said,

806
00:45:04,160 --> 00:45:05,880
Speaker 1: can I get a deferment? And they said no, And

807
00:45:05,920 --> 00:45:08,440
Speaker 1: that's fine. I'm going to become a billionaire. That's happened

808
00:45:08,440 --> 00:45:10,919
Speaker 1: a few times. But uh, but so he and when

809
00:45:10,920 --> 00:45:13,200
Speaker 1: I had became a billionaire. But maybe maybe one day

810
00:45:13,239 --> 00:45:15,880
Speaker 1: he'll end up finishing that work and earning his PhD.

811
00:45:16,239 --> 00:45:18,600
Speaker 1: He he's only thirty nine, so he's got a minute. Yeah,

812
00:45:18,600 --> 00:45:21,680
Speaker 1: he's got a little while. He also, while at Stanford,

813
00:45:21,800 --> 00:45:25,400
Speaker 1: met the other co founder of Google, Larry Page, and

814
00:45:25,440 --> 00:45:29,560
Speaker 1: not that first meeting. Supposedly, Paige and brend were both, um,

815
00:45:29,680 --> 00:45:33,240
Speaker 1: let's call them smart Alex. Okay, so they're both smart Alex.

816
00:45:33,280 --> 00:45:36,440
Speaker 1: They're both a little snarky and apparently that snarky and

817
00:45:36,480 --> 00:45:39,799
Speaker 1: snarky when they first met, kind of sparks flew like

818
00:45:40,400 --> 00:45:43,640
Speaker 1: things were not but but it wasn't necessarily a friendly

819
00:45:43,800 --> 00:45:47,239
Speaker 1: kind of snark. Yes, supposedly they did not totally get

820
00:45:47,280 --> 00:45:50,440
Speaker 1: along upon first meeting, but they ended up spending a

821
00:45:50,480 --> 00:45:52,160
Speaker 1: lot of time together because they were working on the

822
00:45:52,200 --> 00:45:55,960
Speaker 1: same research project called back rub, which was this project

823
00:45:56,040 --> 00:45:58,200
Speaker 1: to help index the web. They were talking about how

824
00:45:58,680 --> 00:46:01,520
Speaker 1: a link on a web pages kind of like a site,

825
00:46:02,160 --> 00:46:05,640
Speaker 1: like a c I T E site, not sit citation

826
00:46:05,760 --> 00:46:08,600
Speaker 1: excitation exactly, and that if you were to index all

827
00:46:08,600 --> 00:46:11,719
Speaker 1: of these you could easily navigate around the web. So

828
00:46:11,760 --> 00:46:14,600
Speaker 1: that was the basis of BackRub, which eventually became Google

829
00:46:15,000 --> 00:46:17,240
Speaker 1: And and this has been pages Idea at first, I believe,

830
00:46:17,320 --> 00:46:20,280
Speaker 1: and he kind of needed somebody with with a stronger

831
00:46:20,320 --> 00:46:24,160
Speaker 1: computer background and and mathematical skills. Yes, so Brent came on.

832
00:46:24,520 --> 00:46:27,040
Speaker 1: Brent had already been at Stanford for a while, and

833
00:46:27,040 --> 00:46:30,680
Speaker 1: in fact, originally Brent had shown Page around for the

834
00:46:30,719 --> 00:46:33,759
Speaker 1: graduate program. That's when they first met, and then he

835
00:46:33,840 --> 00:46:36,640
Speaker 1: ended up working on pages project. And as they worked

836
00:46:36,640 --> 00:46:39,520
Speaker 1: together they became they became buddy buddy. They got past

837
00:46:39,600 --> 00:46:42,879
Speaker 1: that initial he's kind of a jerk. That guy's kind

838
00:46:42,880 --> 00:46:46,360
Speaker 1: of a jerk. Uh. And in two thousand seven, Sarah G. A.

839
00:46:46,480 --> 00:46:51,320
Speaker 1: Brenn married Ann wagis Ki. Together they have two kids

840
00:46:51,840 --> 00:46:55,120
Speaker 1: and um and he's also done a lot of philanthropthropic

841
00:46:55,120 --> 00:46:58,759
Speaker 1: work himself directly actually for Google dot org, which is

842
00:46:58,800 --> 00:47:03,760
Speaker 1: the philanthropic r of Google. Uh. And it's a division

843
00:47:03,760 --> 00:47:07,000
Speaker 1: that looks at lots of different problems, including ways of

844
00:47:07,040 --> 00:47:12,720
Speaker 1: creating clean energy, reducing environmental impact in general, battling climate change.

845
00:47:13,080 --> 00:47:17,000
Speaker 1: So he's dedicated a lot of his his time and

846
00:47:17,120 --> 00:47:21,399
Speaker 1: efforts towards these sort of projects too. It's pretty heavy stuff, right,

847
00:47:23,120 --> 00:47:26,960
Speaker 1: which then leads us nicely into number four, which is

848
00:47:27,239 --> 00:47:31,080
Speaker 1: Larry Page. So the other half of the Google co

849
00:47:31,280 --> 00:47:36,000
Speaker 1: founder duo. He's he's worth a net twin. Yeah, so

850
00:47:36,080 --> 00:47:39,759
Speaker 1: point two billion more than uh than Sergey. So I'm

851
00:47:39,800 --> 00:47:42,960
Speaker 1: sure they lord it over each other whenever they're fortunate.

852
00:47:44,280 --> 00:47:46,320
Speaker 1: They go to when they go to the Billionaire Club

853
00:47:46,360 --> 00:47:52,719
Speaker 1: and they play I play Monopoly with real cities. Uh.

854
00:47:53,600 --> 00:47:55,160
Speaker 1: I was gonna make a joke, but I'm gonna stop

855
00:47:55,200 --> 00:47:59,000
Speaker 1: on that one. So anyway, Yeah, he's actually been the

856
00:47:59,080 --> 00:48:02,600
Speaker 1: acting He's been the CEO for Google since April eleven,

857
00:48:02,719 --> 00:48:05,879
Speaker 1: so Eric Schmidt of course was the former CEO. When

858
00:48:06,000 --> 00:48:08,879
Speaker 1: Schmidt stepped down, they were talking about who was going

859
00:48:08,920 --> 00:48:10,840
Speaker 1: to be the next CEO. Was there going to be

860
00:48:10,840 --> 00:48:14,600
Speaker 1: an interim CEO? Would they pick someone from outside the company,

861
00:48:14,640 --> 00:48:18,400
Speaker 1: But Larry Page ended up taking that role. And uh,

862
00:48:18,560 --> 00:48:22,040
Speaker 1: he's originally from Michigan. His parents were both computer science

863
00:48:22,040 --> 00:48:25,520
Speaker 1: professors at Michigan State University. So again, Larry Page grew

864
00:48:25,560 --> 00:48:28,600
Speaker 1: up in a household that was already familiar with and

865
00:48:28,760 --> 00:48:34,040
Speaker 1: interested in the computers, so he picked right up on that. Uh.

866
00:48:34,120 --> 00:48:36,320
Speaker 1: He attended the University of Michigan and earned a degree

867
00:48:36,320 --> 00:48:39,000
Speaker 1: in computer engineering, and then he went to Stanford and

868
00:48:39,000 --> 00:48:42,040
Speaker 1: earned a master's degree in computer science. That's, of course

869
00:48:42,160 --> 00:48:44,839
Speaker 1: we just mentioned where he met Sarah gay Brenn and

870
00:48:44,880 --> 00:48:49,000
Speaker 1: they started working on the BackRub project. Um. He's also

871
00:48:49,040 --> 00:48:51,360
Speaker 1: an investor in a company that we talked about in

872
00:48:51,400 --> 00:48:55,359
Speaker 1: a recent episode of Tech Stuff, Tesla Tesla Motors. Yep,

873
00:48:55,480 --> 00:48:59,359
Speaker 1: Tesla Motors. Um. I found both him and as I think,

874
00:48:59,400 --> 00:49:03,040
Speaker 1: are they Okay? I knew that Page was um and

875
00:49:03,080 --> 00:49:06,880
Speaker 1: he married Lucinda Southworth in two thousand seven and they

876
00:49:06,920 --> 00:49:10,480
Speaker 1: have one child together. And um, Google is doing incredibly well.

877
00:49:10,520 --> 00:49:17,560
Speaker 1: There's Stacros, which earned Page four billion personally, So don'll

878
00:49:17,680 --> 00:49:20,240
Speaker 1: that'll knock you right up the list pretty quickly. Yeah,

879
00:49:20,280 --> 00:49:22,640
Speaker 1: he's he's also in the in the top twenty of

880
00:49:23,080 --> 00:49:27,799
Speaker 1: Forbes businesses overall. UM billionaire, right, because this is this

881
00:49:27,880 --> 00:49:30,600
Speaker 1: is specifically the list we're doing is just the tech folks,

882
00:49:30,600 --> 00:49:33,760
Speaker 1: but obviously there are people who work in their businesses

883
00:49:33,840 --> 00:49:36,960
Speaker 1: other than technology. I've found one or two. I guess

884
00:49:37,040 --> 00:49:39,600
Speaker 1: I was unaware of this until I just happened to

885
00:49:39,640 --> 00:49:41,960
Speaker 1: read the wrong link on a while I was researching,

886
00:49:42,520 --> 00:49:45,959
Speaker 1: and uh, and my heart shrunk three sizes that day.

887
00:49:47,280 --> 00:49:52,440
Speaker 1: Sad story number three. Moving on, Jeff Bezos worth a

888
00:49:52,520 --> 00:49:55,600
Speaker 1: net five point two billion, and he, of course is

889
00:49:55,640 --> 00:49:58,320
Speaker 1: the founder of Amazon. Yeah, and we've talked about Bezos

890
00:49:58,400 --> 00:50:01,200
Speaker 1: quite a bit when we did our Amazon two parter

891
00:50:02,120 --> 00:50:04,200
Speaker 1: two part. Keep talking about doing the third part, but

892
00:50:04,239 --> 00:50:07,479
Speaker 1: we keep putting it off because we're we think after

893
00:50:07,560 --> 00:50:11,600
Speaker 1: covering Amazon so thoroughly that we didn't want to you

894
00:50:11,640 --> 00:50:13,960
Speaker 1: don't want to turn tech stuff into the Amazon podcast.

895
00:50:15,000 --> 00:50:16,640
Speaker 1: But we have to do it for a little while

896
00:50:16,880 --> 00:50:20,640
Speaker 1: because he's number three on the list. Um. So he

897
00:50:21,080 --> 00:50:25,560
Speaker 1: you know, he his mom ended up, uh. You know,

898
00:50:25,640 --> 00:50:29,720
Speaker 1: he remarried, divorcing his father and then remarrying. Uh, and

899
00:50:30,400 --> 00:50:35,200
Speaker 1: she married Mike Bezos, and uh, Jeff decided he essentially

900
00:50:35,239 --> 00:50:39,120
Speaker 1: took his last name from his adoptive father. UM. And

901
00:50:39,280 --> 00:50:41,279
Speaker 1: he's very very close with him, and he considers them

902
00:50:41,320 --> 00:50:44,279
Speaker 1: his real dad. That's his real dad because he was

903
00:50:44,320 --> 00:50:49,680
Speaker 1: there to raise him, and so he his maternal grandfather

904
00:50:49,719 --> 00:50:53,400
Speaker 1: worked for Darba on space technology and missile defense technology,

905
00:50:53,440 --> 00:50:57,560
Speaker 1: and he uh was a very instrumental figure in Jeff's

906
00:50:57,600 --> 00:51:01,320
Speaker 1: early life. On a column, Jeff, you guys are so

907
00:51:01,320 --> 00:51:04,240
Speaker 1: so tight. Yeah, he I've ordered every day. It's Jeff

908
00:51:04,280 --> 00:51:06,439
Speaker 1: this and Jeff that. I've ordered so many things from

909
00:51:06,440 --> 00:51:08,600
Speaker 1: his site. You would think he would know me by

910
00:51:08,680 --> 00:51:11,239
Speaker 1: name at this point. He at least knows my address. Uh.

911
00:51:11,400 --> 00:51:14,759
Speaker 1: So he graduated with a degree in electrical engineering and

912
00:51:14,800 --> 00:51:19,160
Speaker 1: computer science from Princeton. He met his wife, mckensey Bezos

913
00:51:19,200 --> 00:51:21,960
Speaker 1: while they were both working at a hedge fund company

914
00:51:22,000 --> 00:51:25,320
Speaker 1: called D. E. Shaw. And while he was working there,

915
00:51:25,320 --> 00:51:28,080
Speaker 1: he was working on some database projects and that's when

916
00:51:28,120 --> 00:51:31,560
Speaker 1: he got the idea of you could create a website

917
00:51:31,760 --> 00:51:35,160
Speaker 1: that could become an online retail space for books, which

918
00:51:35,200 --> 00:51:37,960
Speaker 1: is exactly what Amazon dot com was originally. When it

919
00:51:38,000 --> 00:51:41,719
Speaker 1: first started, it was just about the books only. Yeah,

920
00:51:41,840 --> 00:51:46,200
Speaker 1: they shipped their first one um, but had expanded so

921
00:51:46,280 --> 00:51:48,759
Speaker 1: much that they went public in Yeah. It didn't take

922
00:51:48,800 --> 00:51:50,799
Speaker 1: long at all. So again, this is one of those

923
00:51:50,840 --> 00:51:54,359
Speaker 1: companies that existed before the dot com bubble burst, and uh,

924
00:51:54,440 --> 00:51:56,480
Speaker 1: and they really quite well through it. They didn't they

925
00:51:56,480 --> 00:51:58,720
Speaker 1: didn't make a profit for a long time. No, they weren't.

926
00:51:58,800 --> 00:52:03,120
Speaker 1: Their revenues were not profitable, but they were growing quite

927
00:52:03,120 --> 00:52:06,480
Speaker 1: a bit. And and the reason that they weren't profitable

928
00:52:06,600 --> 00:52:08,520
Speaker 1: was was not because they were not doing well, but

929
00:52:08,560 --> 00:52:11,239
Speaker 1: because they kept Yeah, they were growing so quickly and

930
00:52:11,280 --> 00:52:13,840
Speaker 1: expanding so quickly into so many new distribution centers and

931
00:52:13,920 --> 00:52:16,960
Speaker 1: so many new areas. The costs were higher than what

932
00:52:17,040 --> 00:52:19,960
Speaker 1: they were bringing in, but they were Their revenues were

933
00:52:20,000 --> 00:52:23,320
Speaker 1: increasing year over year, so there was lots of growth.

934
00:52:23,400 --> 00:52:27,600
Speaker 1: There just wasn't a lot of of actual profit for

935
00:52:27,640 --> 00:52:30,399
Speaker 1: the first few years. But it did start to turn

936
00:52:30,480 --> 00:52:32,880
Speaker 1: profit and then didn't stop. Yeah, yeah, it's not a

937
00:52:32,880 --> 00:52:37,480
Speaker 1: problem anymore. They their stock last year, earning Bezos personally

938
00:52:37,520 --> 00:52:41,399
Speaker 1: six billion yea, and he was He was named Time

939
00:52:41,400 --> 00:52:44,480
Speaker 1: Magazines Person of the Year because that the Amazon had

940
00:52:44,520 --> 00:52:48,160
Speaker 1: become so influential even back then in nine before again

941
00:52:48,239 --> 00:52:52,600
Speaker 1: the dot com bubble went Carr pluey. So yeah, he's

942
00:52:52,800 --> 00:52:55,040
Speaker 1: done quite well for himself. He's number three on the list,

943
00:52:55,080 --> 00:52:58,719
Speaker 1: which leads us to number two. Mr Larry Ellison, one

944
00:52:58,800 --> 00:53:04,560
Speaker 1: of the more controversial figures from technology worth worth the

945
00:53:04,640 --> 00:53:10,080
Speaker 1: net controversy or now he is he is America's third

946
00:53:10,160 --> 00:53:12,440
Speaker 1: richest man. In fact, Yeah, it's kind of interesting. We

947
00:53:12,480 --> 00:53:15,480
Speaker 1: went from twenty five point two billion with Bezos to

948
00:53:16,000 --> 00:53:19,879
Speaker 1: forty three billion with Larry Ellison. He of course, is

949
00:53:19,920 --> 00:53:25,720
Speaker 1: a co founder of the Oracle Corporation. Um and uh he's.

950
00:53:25,840 --> 00:53:29,600
Speaker 1: He's made quite a name for himself for multiple reasons.

951
00:53:29,840 --> 00:53:34,040
Speaker 1: One is that again he's the guy who sets his

952
00:53:34,120 --> 00:53:38,680
Speaker 1: yacht against the the fellow we mentioned earlier in the podcast,

953
00:53:38,920 --> 00:53:41,000
Speaker 1: right right, He's. He's also rumored to be exploring a

954
00:53:41,080 --> 00:53:44,040
Speaker 1: deal to purchase the Sacramento Kings to prevent them from

955
00:53:44,280 --> 00:53:47,719
Speaker 1: being moved to Seattle. So he's in direct conflict with

956
00:53:47,760 --> 00:53:50,600
Speaker 1: two of the people on our list. Uh he also,

957
00:53:51,000 --> 00:53:55,440
Speaker 1: uh he's he's bought some pretty famous places, like an

958
00:53:55,440 --> 00:54:00,400
Speaker 1: island of Hawaii, Lani, one of the Hawaii in islands.

959
00:54:00,400 --> 00:54:02,839
Speaker 1: It's a hundred and forty one square mile island. He

960
00:54:02,880 --> 00:54:05,759
Speaker 1: owns pretty much all of it, including two resorts that

961
00:54:05,840 --> 00:54:10,279
Speaker 1: are on the island. Um. You know, well, he just

962
00:54:10,360 --> 00:54:12,839
Speaker 1: dropped five million on It's not not a big deal.

963
00:54:12,960 --> 00:54:16,560
Speaker 1: Half a billion dollars buying Hawaiian island. He also owns

964
00:54:16,600 --> 00:54:20,640
Speaker 1: a one million dollar home in Woodside, California. He owned

965
00:54:20,640 --> 00:54:23,920
Speaker 1: several properties in Malibu. Apparently one of those properties in

966
00:54:23,960 --> 00:54:27,640
Speaker 1: Malibu has a one million dollar entertainment system that uses

967
00:54:27,680 --> 00:54:31,960
Speaker 1: an empty swimming pool as a sub bliffer. That is

968
00:54:32,000 --> 00:54:34,839
Speaker 1: the best thing I've ever heard. So if if you're

969
00:54:34,840 --> 00:54:38,080
Speaker 1: in Malibu and you think there's an earthquake, make sure

970
00:54:38,160 --> 00:54:41,640
Speaker 1: that Ellison's not having a house park. Yeah, if he's

971
00:54:41,680 --> 00:54:44,640
Speaker 1: dropping some mad beats, that might be what you're feeling

972
00:54:44,640 --> 00:54:49,319
Speaker 1: it instead. He's another college dropout. He both in the

973
00:54:49,400 --> 00:54:53,600
Speaker 1: University of Chicago and the University of Illinois at Urbana Champagne. Yeah, yeah,

974
00:54:53,640 --> 00:54:59,840
Speaker 1: he um. He believes in doing it wholeheartedly in multiple universities. UM.

975
00:55:00,200 --> 00:55:04,719
Speaker 1: His adoptive father actually assumed the name Ellison to commemorate

976
00:55:04,840 --> 00:55:07,600
Speaker 1: the fact that he came to America and passed through

977
00:55:07,600 --> 00:55:12,759
Speaker 1: Ellis Island. So Ellison Ellison is from that. Um. He

978
00:55:12,880 --> 00:55:15,800
Speaker 1: worked at a few companies in California when he was

979
00:55:15,840 --> 00:55:19,799
Speaker 1: in his twenties, and he designed a database for a

980
00:55:19,800 --> 00:55:23,000
Speaker 1: little organization called the c I a UH and that

981
00:55:23,080 --> 00:55:26,480
Speaker 1: database was called Oracle, and that's when he got the

982
00:55:26,520 --> 00:55:29,279
Speaker 1: idea to found a software company. It was originally called

983
00:55:29,320 --> 00:55:34,160
Speaker 1: software development Laboratories, not laboratories um, which is how I

984
00:55:34,239 --> 00:55:38,840
Speaker 1: usually say it, and that's what eventually became Oracle. Uh.

985
00:55:38,880 --> 00:55:42,640
Speaker 1: This is again enterprise software. So the Oracle is one

986
00:55:42,640 --> 00:55:45,719
Speaker 1: of those names that I think, like Oracle, Sun Microsystems

987
00:55:45,719 --> 00:55:47,520
Speaker 1: like these are these are big names that people are

988
00:55:47,520 --> 00:55:50,839
Speaker 1: familiar with, even IBM to some extent, they're familiar with,

989
00:55:50,880 --> 00:55:53,560
Speaker 1: but they haven't necessarily used it in a personal person

990
00:55:54,440 --> 00:55:56,520
Speaker 1: unless they work for a company that has these systems

991
00:55:56,520 --> 00:56:00,279
Speaker 1: and they're in charge of them. But anyway, UM believe

992
00:56:00,280 --> 00:56:03,680
Speaker 1: he's been married and divorced four times, so he's had

993
00:56:03,840 --> 00:56:08,360
Speaker 1: some issues in his personal life. Um. He's also known

994
00:56:08,520 --> 00:56:12,360
Speaker 1: as being a very outspoken and blunt person. Yes, yeah,

995
00:56:12,680 --> 00:56:15,320
Speaker 1: I've I've heard that once or twice. He has signed

996
00:56:15,360 --> 00:56:19,839
Speaker 1: on to the to that Warren Beffett and right, our

997
00:56:19,960 --> 00:56:25,319
Speaker 1: number one number one is yet that's it's amazing. Yes,

998
00:56:26,160 --> 00:56:32,520
Speaker 1: And he's thus far donated UM million, mostly via Oracle stock. Right.

999
00:56:32,600 --> 00:56:35,200
Speaker 1: So yeah, so he's another one of the members of

1000
00:56:35,280 --> 00:56:38,160
Speaker 1: this this elite club of billionaires who have signed the

1001
00:56:38,160 --> 00:56:40,560
Speaker 1: Giving Pledge to to really try and make the world

1002
00:56:40,560 --> 00:56:43,279
Speaker 1: a better place. I can't criticize that at all. That's

1003
00:56:43,320 --> 00:56:45,480
Speaker 1: a phenomenal thing. I mean, that's why I would like

1004
00:56:45,560 --> 00:56:47,560
Speaker 1: to think that if I were a billionaire, I would

1005
00:56:47,560 --> 00:56:48,960
Speaker 1: do the same thing, but of course I'm not in

1006
00:56:48,960 --> 00:56:50,759
Speaker 1: that position, so it's really easy for me to say

1007
00:56:50,760 --> 00:56:53,120
Speaker 1: it right now. I'm pretty sure that you would be

1008
00:56:53,160 --> 00:56:56,879
Speaker 1: a mad scientist and would be really busy doing that.

1009
00:56:56,960 --> 00:57:01,080
Speaker 1: You can at least be a frustrated scientist, not outright mad,

1010
00:57:01,320 --> 00:57:03,360
Speaker 1: but you can still you can, you can still participate

1011
00:57:03,480 --> 00:57:06,719
Speaker 1: in have your charity. If you watch, if you watch

1012
00:57:06,800 --> 00:57:11,799
Speaker 1: the forward Thinking episode about our cities growing, you'll see

1013
00:57:11,800 --> 00:57:15,240
Speaker 1: me deliver one of my megalomaniacal monologues. And I guess

1014
00:57:15,320 --> 00:57:18,080
Speaker 1: mad Scientists is pretty accurate, you know, based on that,

1015
00:57:18,200 --> 00:57:21,280
Speaker 1: So that's fair, all right. So that takes us up

1016
00:57:21,320 --> 00:57:23,960
Speaker 1: to number one. And number one, of course is the

1017
00:57:23,960 --> 00:57:26,640
Speaker 1: the other person along with Warren Buffett, who said let's

1018
00:57:26,720 --> 00:57:30,440
Speaker 1: do this pledge, and that is of course Bill Gates

1019
00:57:31,200 --> 00:57:37,160
Speaker 1: um Worth net sixties seven billion, yes, six seven billion dollars.

1020
00:57:37,200 --> 00:57:41,000
Speaker 1: That has a huge amount of money um and he

1021
00:57:41,000 --> 00:57:44,800
Speaker 1: he only retains about five percent ownership of Microsoft, so

1022
00:57:44,920 --> 00:57:47,600
Speaker 1: most most of that wealth comes from investments that are

1023
00:57:47,640 --> 00:57:51,280
Speaker 1: in other industries and things in bonds and stocks. He's

1024
00:57:51,280 --> 00:57:55,680
Speaker 1: invested in other companies he's founded other companies. Uh. He

1025
00:57:55,880 --> 00:57:58,840
Speaker 1: was the CEO of Microsoft for many years. He stepped

1026
00:57:58,840 --> 00:58:01,240
Speaker 1: down in two thousand. Of course, Umber became the CEO

1027
00:58:01,320 --> 00:58:04,000
Speaker 1: at that time. UM. He stayed on as the chairman

1028
00:58:04,040 --> 00:58:06,960
Speaker 1: and chief Software Architect for a few more years. Uh.

1029
00:58:06,960 --> 00:58:09,800
Speaker 1: A transition from full time to part time at Microsoft

1030
00:58:09,840 --> 00:58:12,720
Speaker 1: in two thousand and six, and retired in two thousand

1031
00:58:12,680 --> 00:58:15,400
Speaker 1: and eight. And I actually remember when he retired because

1032
00:58:15,440 --> 00:58:17,520
Speaker 1: I went to c E S when they were talking

1033
00:58:17,560 --> 00:58:19,400
Speaker 1: about the fact that Gates was going to retire. It

1034
00:58:19,440 --> 00:58:23,560
Speaker 1: was his final keynote at c E S UM and

1035
00:58:23,680 --> 00:58:28,520
Speaker 1: so they presented this very cute video package that showed

1036
00:58:28,520 --> 00:58:33,400
Speaker 1: a typical day of Gates. Yeah, and it was absolutely ridiculous.

1037
00:58:33,440 --> 00:58:35,280
Speaker 1: It was very clear that Bill Gates has a very

1038
00:58:35,280 --> 00:58:38,800
Speaker 1: healthy sense of humor about himself. He seems to enjoy

1039
00:58:38,920 --> 00:58:43,040
Speaker 1: poking fun at his own reputation. UH and UM. And

1040
00:58:43,040 --> 00:58:46,040
Speaker 1: that's also clear. If you guys know where the phrase

1041
00:58:46,560 --> 00:58:51,439
Speaker 1: conquistadors they run tight, then you know he's a goofy guy.

1042
00:58:51,560 --> 00:58:54,320
Speaker 1: If you don't know about that, go to YouTube again

1043
00:58:55,440 --> 00:58:58,480
Speaker 1: after you've watched Steve Bomber screaming about developers for a

1044
00:58:58,480 --> 00:59:02,560
Speaker 1: good thirty seconds. Uh. Go and type in Jerry Seinfeld

1045
00:59:02,720 --> 00:59:06,040
Speaker 1: Bill Gates. Uh. There was a commercial that ran several

1046
00:59:06,120 --> 00:59:08,840
Speaker 1: years ago that was really just to promote Microsoft. It

1047
00:59:08,880 --> 00:59:12,520
Speaker 1: wasn't any particular Microsoft product, Microsoft The Men and a

1048
00:59:12,520 --> 00:59:16,400
Speaker 1: half long, and it was mostly about Jerry Seinfeld walking

1049
00:59:16,400 --> 00:59:18,720
Speaker 1: through the mall and seeing Bill Gates getting fitted for

1050
00:59:18,760 --> 00:59:24,320
Speaker 1: new shoes and then having a bizarre, absurd conversation with him.

1051
00:59:24,440 --> 00:59:27,320
Speaker 1: I have somehow completely missed this. It was it only

1052
00:59:27,360 --> 00:59:28,920
Speaker 1: aired a few times, but one of the things they

1053
00:59:28,960 --> 00:59:30,800
Speaker 1: talked about the type of shoes. They talked about our

1054
00:59:30,880 --> 00:59:34,960
Speaker 1: conkistadors and they run tight, as you find out in

1055
00:59:35,040 --> 00:59:37,240
Speaker 1: the In the commercial, Chris and I would quote that

1056
00:59:37,280 --> 00:59:39,760
Speaker 1: all the time because we both really appreciated how goofy

1057
00:59:39,880 --> 00:59:44,640
Speaker 1: that commercial was. He was also once arrested in nineteen

1058
00:59:44,720 --> 00:59:48,480
Speaker 1: seventy seven d traffic violation. So it is nineteen seventies

1059
00:59:48,520 --> 00:59:51,080
Speaker 1: seven mug shot is on the internet and it is

1060
00:59:51,160 --> 00:59:53,600
Speaker 1: the goofiest looking thing you've ever seen. By the way,

1061
00:59:53,680 --> 01:00:00,760
Speaker 1: that mug shot also appears in that yeah uh yeah.

1062
01:00:00,840 --> 01:00:03,360
Speaker 1: And like, like Jonathan said, he's only retained five percent

1063
01:00:03,400 --> 01:00:05,600
Speaker 1: of ownership and Microsoft, so most of the money that

1064
01:00:05,680 --> 01:00:08,000
Speaker 1: he is making right now and which is he's he

1065
01:00:08,120 --> 01:00:12,600
Speaker 1: made six billion in has been from investment in uh,

1066
01:00:12,800 --> 01:00:16,000
Speaker 1: you know, other stocks and bonds, etcetera. He uh when

1067
01:00:16,040 --> 01:00:18,479
Speaker 1: he went to college at Harvard, and he of course

1068
01:00:18,920 --> 01:00:22,720
Speaker 1: dropped out uh and went to work with Paul Allen

1069
01:00:22,760 --> 01:00:25,280
Speaker 1: at Honeywell first and then the two of them. Actually

1070
01:00:25,280 --> 01:00:27,080
Speaker 1: he was still going to Harvard when he went to

1071
01:00:27,160 --> 01:00:30,320
Speaker 1: work for Honeywell. He dropped out of Harvard when Paul

1072
01:00:30,360 --> 01:00:33,200
Speaker 1: Allen said, Hey, we should get together and make a company.

1073
01:00:33,680 --> 01:00:37,520
Speaker 1: And so Allen essentially, according to what I read, convinced

1074
01:00:37,560 --> 01:00:41,280
Speaker 1: Bill Gates to drop out and to co found Microsoft.

1075
01:00:41,480 --> 01:00:44,040
Speaker 1: So if he had not dropped out, we might not

1076
01:00:44,200 --> 01:00:46,400
Speaker 1: have ever had a Microsoft, and the world would be

1077
01:00:46,440 --> 01:00:50,320
Speaker 1: a very different Uh. So he and Allen co founded

1078
01:00:50,400 --> 01:00:53,480
Speaker 1: this company. Of course, it went on to amazing success,

1079
01:00:54,360 --> 01:00:57,280
Speaker 1: and he went on to great success both at the

1080
01:00:57,320 --> 01:01:00,680
Speaker 1: company and a part of from it. So he and

1081
01:01:00,800 --> 01:01:04,720
Speaker 1: his wife, Melinda Gates uh founded the the Bill and

1082
01:01:04,760 --> 01:01:09,800
Speaker 1: Melinda Gates Foundation, which has done an incredible amount of

1083
01:01:09,800 --> 01:01:13,760
Speaker 1: philanthropic work, a lot in developing nations, really all concentrating

1084
01:01:13,760 --> 01:01:19,360
Speaker 1: on things like access to clean water, healthcare, education Forbes.

1085
01:01:19,440 --> 01:01:22,680
Speaker 1: Forbes lists him is the world's most generous person. It's

1086
01:01:22,920 --> 01:01:26,160
Speaker 1: it's pretty phenomenal, and of course he's still making boatloads

1087
01:01:26,160 --> 01:01:29,880
Speaker 1: of money. I know that this foundation has received criticism

1088
01:01:30,360 --> 01:01:33,720
Speaker 1: because the way that the foundation ends up funding the

1089
01:01:33,960 --> 01:01:36,840
Speaker 1: various projects that works on is through investments, just like

1090
01:01:36,920 --> 01:01:40,520
Speaker 1: we've spoken about earlier, and sometimes some people have said

1091
01:01:40,560 --> 01:01:43,120
Speaker 1: that there are times where the foundation has invested in

1092
01:01:43,240 --> 01:01:46,520
Speaker 1: companies that are causing some of the very problems that

1093
01:01:46,600 --> 01:01:51,480
Speaker 1: the foundation is trying to So things like companies that

1094
01:01:51,960 --> 01:01:58,160
Speaker 1: through their operation contribute to pollution and air quality, things

1095
01:01:58,200 --> 01:02:00,840
Speaker 1: like that, and if that's in fact how they are

1096
01:02:01,400 --> 01:02:05,840
Speaker 1: funding the projects, then that might be counterproductive. And they

1097
01:02:06,760 --> 01:02:09,480
Speaker 1: the Gates Foundation said at one point that they were

1098
01:02:09,520 --> 01:02:13,640
Speaker 1: going to uh instill a new policy where everything would

1099
01:02:13,680 --> 01:02:16,920
Speaker 1: be reviewed before it would be funded, but then eventually

1100
01:02:17,080 --> 01:02:23,120
Speaker 1: apparently went back to look, the this is leading us

1101
01:02:23,160 --> 01:02:26,040
Speaker 1: to not actually get money out to people, not quite

1102
01:02:26,120 --> 01:02:28,320
Speaker 1: not quite so far as to say the ends justify

1103
01:02:28,400 --> 01:02:31,280
Speaker 1: the means. But that's what the critics have said, right

1104
01:02:31,400 --> 01:02:35,120
Speaker 1: that that was their position. But ultimately they have funded

1105
01:02:35,280 --> 01:02:37,800
Speaker 1: a lot of charitable efforts to make the world a

1106
01:02:37,840 --> 01:02:40,919
Speaker 1: better place. Yeah, they've Bill and Milinda have personally given

1107
01:02:41,040 --> 01:02:45,360
Speaker 1: over billion. That's incredible and like we said, you know,

1108
01:02:45,680 --> 01:02:48,080
Speaker 1: Bill Gates was one of the ones who who founded

1109
01:02:48,160 --> 01:02:51,240
Speaker 1: this giving pledge idea. Uh, and there are a lot

1110
01:02:51,280 --> 01:02:53,040
Speaker 1: of people who have signed onto it, not just the

1111
01:02:53,360 --> 01:02:57,280
Speaker 1: tech billionaires we've mentioned. Um. He also owns a one

1112
01:02:58,080 --> 01:03:01,440
Speaker 1: five million dollar home on Lake Washington. Not actually on

1113
01:03:01,560 --> 01:03:03,880
Speaker 1: the lake. It's actually just on the shore of the lake.

1114
01:03:03,920 --> 01:03:05,960
Speaker 1: It's should should be on the lake. That would be

1115
01:03:06,000 --> 01:03:09,000
Speaker 1: come on floating home. Technically it's underground, or most of

1116
01:03:09,040 --> 01:03:11,240
Speaker 1: it is. We did a Chris and I did a

1117
01:03:11,320 --> 01:03:14,800
Speaker 1: great podcast about Bill Gates's house, like a couple of

1118
01:03:14,880 --> 01:03:18,240
Speaker 1: years ago and the place from what we could what

1119
01:03:18,440 --> 01:03:20,760
Speaker 1: we were able to read, because you know, there's not

1120
01:03:21,440 --> 01:03:24,520
Speaker 1: not all the details are available. But he didn't invite

1121
01:03:24,560 --> 01:03:25,880
Speaker 1: you over when he found out that you were doing

1122
01:03:25,920 --> 01:03:28,920
Speaker 1: the episode. Yeah. Sadly that invitation has been lost in

1123
01:03:29,120 --> 01:03:32,520
Speaker 1: the never been written male. Uh. Yeah, but it's an

1124
01:03:32,560 --> 01:03:36,600
Speaker 1: incredible house. It's one of those places where they incorporate

1125
01:03:36,720 --> 01:03:39,440
Speaker 1: a lot of environmental design in the house itself to

1126
01:03:40,000 --> 01:03:42,880
Speaker 1: make it kind of a compliment to the area, not

1127
01:03:43,120 --> 01:03:45,240
Speaker 1: just you know, not just a big house that's sitting

1128
01:03:45,280 --> 01:03:48,560
Speaker 1: on a pretty hill. It's part of a pretty hill. Uh.

1129
01:03:48,760 --> 01:03:53,000
Speaker 1: They also incorporated a lot of technology, including and I'm

1130
01:03:53,080 --> 01:03:55,880
Speaker 1: I'm assuming that he's upgraded this since then, but I

1131
01:03:55,960 --> 01:03:57,960
Speaker 1: remember one of the first systems I read about was

1132
01:03:58,640 --> 01:04:00,800
Speaker 1: an r F I D system where you would get

1133
01:04:01,120 --> 01:04:02,760
Speaker 1: something that would have an r F I D chip

1134
01:04:02,840 --> 01:04:05,960
Speaker 1: in it, and you could program the chip to whatever

1135
01:04:06,120 --> 01:04:08,680
Speaker 1: specifications you like, so you could say, you know, I

1136
01:04:08,840 --> 01:04:11,040
Speaker 1: like it when a room is seventy degrees, and I

1137
01:04:11,160 --> 01:04:12,600
Speaker 1: like this kind of music, and I like this kind

1138
01:04:12,600 --> 01:04:14,320
Speaker 1: of art, and as you moved through the house, the

1139
01:04:14,400 --> 01:04:17,080
Speaker 1: house changed around here. So it's the idea of the

1140
01:04:17,160 --> 01:04:20,080
Speaker 1: smart home. Now, you know, we're getting to the point

1141
01:04:20,120 --> 01:04:22,400
Speaker 1: now where the r F I D is becoming less

1142
01:04:22,440 --> 01:04:25,400
Speaker 1: and less necessary to achieve that. But back when the

1143
01:04:26,240 --> 01:04:28,040
Speaker 1: first being built, that's that was state of the art.

1144
01:04:28,920 --> 01:04:32,400
Speaker 1: So yeah, I mean, pretty interesting guy. Um, he's the

1145
01:04:32,440 --> 01:04:35,120
Speaker 1: father of three kids. Uh. I thought i'd go ahead

1146
01:04:35,120 --> 01:04:38,480
Speaker 1: and drop that on there. So yeah, it's he's he's

1147
01:04:38,520 --> 01:04:42,479
Speaker 1: definitely done a lot, uh in technology, and and again,

1148
01:04:42,560 --> 01:04:44,880
Speaker 1: the world be a very different place without his contributions.

1149
01:04:45,040 --> 01:04:47,440
Speaker 1: So at the contributions of all of these people. Yep.

1150
01:04:47,600 --> 01:04:49,560
Speaker 1: And so I just thought one of their little interesting

1151
01:04:49,600 --> 01:04:55,080
Speaker 1: tidbits since we talked about fifteen people. One third of

1152
01:04:55,200 --> 01:04:58,320
Speaker 1: the billionaires we talked about dropped out of college. Yeah,

1153
01:04:58,360 --> 01:05:01,160
Speaker 1: we found this fascinating. Yeah, five five out of the

1154
01:05:01,320 --> 01:05:06,040
Speaker 1: top fifteen billionaires in technology billionaires dropped out of college.

1155
01:05:06,320 --> 01:05:09,520
Speaker 1: And and we're not saying that you shouldn't necessarily drop

1156
01:05:09,560 --> 01:05:12,960
Speaker 1: out of school. And it's it's a great Now the

1157
01:05:13,000 --> 01:05:18,080
Speaker 1: first star is listening to tech stuff. Obviously you are congratulations.

1158
01:05:19,320 --> 01:05:22,560
Speaker 1: We don't we don't know. We only teach, No, don't.

1159
01:05:22,680 --> 01:05:24,360
Speaker 1: We're not saying you drop out of school. But what

1160
01:05:24,720 --> 01:05:26,919
Speaker 1: what I was talking I was talking to Lauren before

1161
01:05:26,960 --> 01:05:29,320
Speaker 1: we came into the studio and I said, you know,

1162
01:05:29,400 --> 01:05:32,120
Speaker 1: I think part of it is that when you are

1163
01:05:32,880 --> 01:05:36,280
Speaker 1: really smart, like like these people are smart, Yes, this

1164
01:05:36,400 --> 01:05:39,240
Speaker 1: level of smart that which is way over my head.

1165
01:05:39,280 --> 01:05:41,640
Speaker 1: And then when you're this smart and you're this ambitious

1166
01:05:41,760 --> 01:05:44,000
Speaker 1: and you have this kind of vision, so it's not

1167
01:05:44,120 --> 01:05:45,800
Speaker 1: just that you're smart, but that you can you can

1168
01:05:45,880 --> 01:05:49,040
Speaker 1: apply that intelligence in a way that's going to resonate

1169
01:05:49,120 --> 01:05:52,400
Speaker 1: with people and be valuable to people. And when you

1170
01:05:52,520 --> 01:05:55,200
Speaker 1: are of this age so we're talking, you know, of

1171
01:05:55,440 --> 01:06:00,560
Speaker 1: the college age somewhere around there, then you also are

1172
01:06:00,560 --> 01:06:02,400
Speaker 1: at an age where you can afford to take some

1173
01:06:02,480 --> 01:06:05,840
Speaker 1: pretty big risks because you haven't necessarily got these other

1174
01:06:05,960 --> 01:06:08,000
Speaker 1: things that you have to worry about, like a family

1175
01:06:08,160 --> 01:06:10,240
Speaker 1: or a home or something like that. You don't already

1176
01:06:10,280 --> 01:06:13,400
Speaker 1: have large investments that you're going to you know, yeah,

1177
01:06:13,440 --> 01:06:15,120
Speaker 1: that you're going to throw away if you if you

1178
01:06:15,520 --> 01:06:19,120
Speaker 1: risk everything and lose. So you have you have lots

1179
01:06:19,160 --> 01:06:20,840
Speaker 1: of benefits. You've got a lot of energy, you've got

1180
01:06:21,000 --> 01:06:23,840
Speaker 1: this great idea, you've got the intelligence, you've got the opportunity,

1181
01:06:24,200 --> 01:06:26,080
Speaker 1: and you don't have a lot of stuff that would

1182
01:06:26,120 --> 01:06:28,680
Speaker 1: prevent you from taking a big risk, aside from this

1183
01:06:28,760 --> 01:06:31,920
Speaker 1: pesky degree that you're pursuing. Right, yeah, that might be

1184
01:06:32,000 --> 01:06:34,960
Speaker 1: a problem. But uh and and so we've talked about

1185
01:06:35,080 --> 01:06:38,720
Speaker 1: other people who realized that, you know, this is going

1186
01:06:38,760 --> 01:06:41,360
Speaker 1: to be a risk, like Elon Musk, where he's like,

1187
01:06:41,440 --> 01:06:43,720
Speaker 1: you know, this is this is something that might not work.

1188
01:06:43,800 --> 01:06:46,000
Speaker 1: So I want to be able to go back to

1189
01:06:46,120 --> 01:06:48,840
Speaker 1: my studies if I need to um. But when you

1190
01:06:48,920 --> 01:06:51,920
Speaker 1: get older, that that window becomes harder and harder to

1191
01:06:52,040 --> 01:06:55,960
Speaker 1: justify jumping through. Right at my age, I'm a married man,

1192
01:06:56,160 --> 01:06:58,760
Speaker 1: I own a home, I've got a lot of ties

1193
01:06:58,840 --> 01:07:01,040
Speaker 1: here in Atlanta, it would It would take a lot

1194
01:07:01,280 --> 01:07:05,560
Speaker 1: for me to have to make a change. So um

1195
01:07:05,800 --> 01:07:09,560
Speaker 1: so there's some benefit to to doing it the way

1196
01:07:09,640 --> 01:07:11,520
Speaker 1: these guys have done it because they were in the

1197
01:07:11,720 --> 01:07:14,560
Speaker 1: right time, the right position, with the right idea. But

1198
01:07:15,040 --> 01:07:18,360
Speaker 1: most of us probably could benefit from finishing out the

1199
01:07:18,440 --> 01:07:22,960
Speaker 1: rest of that college education school kids. Yeah, actually got

1200
01:07:23,000 --> 01:07:25,040
Speaker 1: a great ideas, have a really incredible idea, and then

1201
01:07:25,200 --> 01:07:27,560
Speaker 1: we go for it. We were right there with you

1202
01:07:27,560 --> 01:07:30,080
Speaker 1: at the very beginning, and we deserve a cut, is

1203
01:07:30,120 --> 01:07:34,120
Speaker 1: what I'm saying. But anyway, that wraps up this discussion

1204
01:07:34,360 --> 01:07:38,720
Speaker 1: of some of the incredibly wealthy folks and technology. Hope

1205
01:07:38,760 --> 01:07:41,080
Speaker 1: you guys learn something and uh and some of these

1206
01:07:41,120 --> 01:07:44,600
Speaker 1: folks we will likely cover in a full podcast. Will

1207
01:07:44,640 --> 01:07:47,240
Speaker 1: dedicate a full podcast to someone Larry Ellison we've talked

1208
01:07:47,240 --> 01:07:49,480
Speaker 1: about as being someone will cover in a full episode.

1209
01:07:49,520 --> 01:07:53,120
Speaker 1: Now we'll do that further down the road, so not tomorrow.

1210
01:07:53,280 --> 01:07:55,640
Speaker 1: But yeah, but but you know, these are fascinating folks

1211
01:07:55,680 --> 01:07:58,800
Speaker 1: and I'd love to have the opportunity to research them more. Sure, so,

1212
01:07:58,880 --> 01:08:01,320
Speaker 1: if you guys have any subjects we should cover in

1213
01:08:01,400 --> 01:08:03,680
Speaker 1: future episodes of tech Stuff, whether that's a person or

1214
01:08:03,720 --> 01:08:06,800
Speaker 1: a company or just a type of technology, or you know,

1215
01:08:07,160 --> 01:08:09,280
Speaker 1: what kind of video game do I play when I

1216
01:08:09,480 --> 01:08:12,800
Speaker 1: go home? It's BioShock Infinite. Uh. You can just write

1217
01:08:12,840 --> 01:08:14,960
Speaker 1: in and let us know and we'll we'll definitely add

1218
01:08:15,000 --> 01:08:18,480
Speaker 1: that to the list. Our addresses tex stuff at Discovery

1219
01:08:18,600 --> 01:08:21,840
Speaker 1: dot com, or drop us a line on Facebook or Twitter.

1220
01:08:21,960 --> 01:08:24,040
Speaker 1: You can find our handle at both those locations. It

1221
01:08:24,240 --> 01:08:27,360
Speaker 1: is text stuff, H. S W and Lauren and I

1222
01:08:27,400 --> 01:08:33,479
Speaker 1: will talk to you again really soon for more on

1223
01:08:33,600 --> 01:08:35,880
Speaker 1: this and thousands of other topics. Does it has to

1224
01:08:36,040 --> 01:08:36,720
Speaker 1: Works dot Com