1 00:00:04,400 --> 00:00:07,760 Speaker 1: Welcome to tex Stuff, a production from my Heart Radio. 2 00:00:12,080 --> 00:00:14,600 Speaker 1: Hey there, and welcome to tech Stuff. I'm your host, 3 00:00:14,800 --> 00:00:18,480 Speaker 1: Jonathan Strickland. I'm an executive producer with I Heart Radio 4 00:00:18,520 --> 00:00:21,599 Speaker 1: and I love all things tech and I have a 5 00:00:21,760 --> 00:00:24,919 Speaker 1: dated episode here. It's time for a classic episode of 6 00:00:24,920 --> 00:00:28,760 Speaker 1: tech Stuff because it is Friday, and this episode originally 7 00:00:28,800 --> 00:00:32,800 Speaker 1: published on April seventeen, two thousand thirteen. This is one 8 00:00:32,880 --> 00:00:35,600 Speaker 1: that I think desperately needs an update, but I thought 9 00:00:35,640 --> 00:00:38,080 Speaker 1: it'd be fun to go back and visit. It's called 10 00:00:38,560 --> 00:00:43,480 Speaker 1: the Richest People in Tech Enjoy. We're taking a list 11 00:00:43,560 --> 00:00:48,080 Speaker 1: from the top tech billionaires off of Forbes list, which 12 00:00:48,120 --> 00:00:50,960 Speaker 1: they published pretty much on a yearly basis. So this 13 00:00:51,040 --> 00:00:54,760 Speaker 1: is from the list of tech billionaires. We kind of 14 00:00:54,800 --> 00:00:57,640 Speaker 1: want to talk about who these people are and what 15 00:00:57,800 --> 00:00:59,920 Speaker 1: they've done to kind of get to where they're going, 16 00:01:00,080 --> 00:01:03,240 Speaker 1: and maybe some little trivia facts about yeah, a little 17 00:01:03,240 --> 00:01:05,000 Speaker 1: bit of a profile, just to see, you know, because 18 00:01:05,040 --> 00:01:07,240 Speaker 1: these these are the people that are running all of 19 00:01:07,240 --> 00:01:10,040 Speaker 1: the businesses that are creating all of the cool stuff 20 00:01:10,040 --> 00:01:12,760 Speaker 1: that we talk about basically, and so there's some of 21 00:01:12,760 --> 00:01:16,080 Speaker 1: them are who are working for the same company. There's 22 00:01:16,120 --> 00:01:19,040 Speaker 1: three from one company in fact, that rhymes with shmoogle. 23 00:01:19,440 --> 00:01:23,160 Speaker 1: Spoiler alert. Um, but uh, we're going to talk about 24 00:01:23,160 --> 00:01:25,000 Speaker 1: the folks that are on this list, and uh, and 25 00:01:25,080 --> 00:01:26,840 Speaker 1: keep in mind, you know, this is this is like 26 00:01:26,880 --> 00:01:29,120 Speaker 1: the people who have the most money. It does not 27 00:01:29,200 --> 00:01:32,080 Speaker 1: necessarily mean they're the most influential, because at least a 28 00:01:32,120 --> 00:01:37,200 Speaker 1: couple of them are for the most part retired, right, right. 29 00:01:37,240 --> 00:01:38,960 Speaker 1: And and also it doesn't necessarily mean that they have 30 00:01:39,319 --> 00:01:42,280 Speaker 1: you know, like that kind of Scrooge McDuck giant swimming 31 00:01:42,280 --> 00:01:44,840 Speaker 1: pool of goal of coins. It's mostly wrapped up in 32 00:01:44,880 --> 00:01:48,040 Speaker 1: stock options, so you know, right, but nonetheless, right, they 33 00:01:48,120 --> 00:01:50,760 Speaker 1: may not have a lot of liquid assets compared to 34 00:01:50,800 --> 00:01:54,400 Speaker 1: what they have in investments. But hey, you know, I'm 35 00:01:54,440 --> 00:01:58,920 Speaker 1: sure that I'm sure they're not they're not hurting, probably 36 00:01:58,960 --> 00:02:01,040 Speaker 1: none of them are. Now. They can probably afford a 37 00:02:01,160 --> 00:02:04,200 Speaker 1: nice ice cream cone on a warm summer's day. So 38 00:02:04,280 --> 00:02:06,800 Speaker 1: let's let's talk about some of them. So yeah, coming 39 00:02:06,840 --> 00:02:11,000 Speaker 1: in at number fifteen is James Goodnight, who has probably 40 00:02:11,040 --> 00:02:14,320 Speaker 1: the most awesome name. I know he's I think I 41 00:02:14,320 --> 00:02:16,880 Speaker 1: think he's a PhD. So it's doctor good Night, Doctor 42 00:02:16,960 --> 00:02:20,480 Speaker 1: good Night. That is amazing. I did not think about 43 00:02:20,520 --> 00:02:23,760 Speaker 1: that until you said it. Dr Goodnight is awesome. Well, 44 00:02:24,360 --> 00:02:28,320 Speaker 1: Doctor Goodnight is worth, according to Forbes, about seven point 45 00:02:28,560 --> 00:02:31,639 Speaker 1: seven billion dollars. And and this this is the I mean, 46 00:02:31,639 --> 00:02:33,799 Speaker 1: this is the bottom of our list. Yes, so yeah, 47 00:02:33,800 --> 00:02:36,840 Speaker 1: we're going. We're going from number fifteen down to number one. 48 00:02:36,880 --> 00:02:38,960 Speaker 1: It's a countdown. You can actually all play along at 49 00:02:39,000 --> 00:02:41,360 Speaker 1: home if you like, and place bets on who you 50 00:02:41,400 --> 00:02:44,240 Speaker 1: think is in the top five. Well, we'll try not 51 00:02:44,280 --> 00:02:46,920 Speaker 1: to give any spoilers. No, but we've already said that 52 00:02:46,919 --> 00:02:49,280 Speaker 1: three of them are from the same company. So as 53 00:02:49,320 --> 00:02:51,800 Speaker 1: as we get down, you're gonna be thinking, huh, all right, 54 00:02:51,919 --> 00:02:53,280 Speaker 1: which you can think of a couple of names that 55 00:02:53,320 --> 00:02:56,280 Speaker 1: haven't been mentioned yet. All right. Well, what good Night 56 00:02:56,360 --> 00:02:59,760 Speaker 1: did was he co founded a company called s A s. 57 00:03:00,160 --> 00:03:02,799 Speaker 1: John Saul's back in nineteen seventy six. And this is 58 00:03:02,840 --> 00:03:07,080 Speaker 1: a business analytics software company. Yeah, and originally it was 59 00:03:07,320 --> 00:03:10,160 Speaker 1: part of a research project. You see. Uh, James good 60 00:03:10,160 --> 00:03:12,799 Speaker 1: and I grew up in North Carolina, so he's a 61 00:03:12,840 --> 00:03:15,480 Speaker 1: neighbor of mine as far as I'm concerned. I'm born 62 00:03:15,680 --> 00:03:19,080 Speaker 1: in Georgia, so I consider folks from North Carolina my neighbors. 63 00:03:19,560 --> 00:03:22,120 Speaker 1: And he began to work with computers back when he 64 00:03:22,160 --> 00:03:25,520 Speaker 1: was a sophomore at North Carolina State University. So he 65 00:03:25,600 --> 00:03:29,480 Speaker 1: graduated with eventually with a pH d in statistics. All right, 66 00:03:29,639 --> 00:03:31,720 Speaker 1: he's he's seventy right now. If that gives you an 67 00:03:31,760 --> 00:03:34,800 Speaker 1: idea of what kind of era he was working in computers. 68 00:03:34,920 --> 00:03:37,680 Speaker 1: Right when he was working in computers, it was before 69 00:03:37,720 --> 00:03:41,240 Speaker 1: computers were really I think people worked on. Yeah, there 70 00:03:41,320 --> 00:03:43,560 Speaker 1: certainly were no personal computers at the time where he 71 00:03:43,600 --> 00:03:45,760 Speaker 1: was getting into them. He didn't find you know, he 72 00:03:46,160 --> 00:03:48,840 Speaker 1: and John Stiles founded the company in nineteen seventy six, 73 00:03:49,120 --> 00:03:52,280 Speaker 1: that's just when personal computers were barely getting their start. 74 00:03:53,320 --> 00:03:57,240 Speaker 1: So he uh, he had helped design some equipment for 75 00:03:57,440 --> 00:04:01,480 Speaker 1: ground stations to communicate with the Apollo mission, which is awesome, 76 00:04:01,640 --> 00:04:05,240 Speaker 1: pretty amazing. Yeah. So he then joined the faculty of 77 00:04:05,360 --> 00:04:08,400 Speaker 1: North Carolina State and while he was a faculty member there, 78 00:04:08,440 --> 00:04:11,240 Speaker 1: he began to work on this project which was called 79 00:04:11,240 --> 00:04:15,000 Speaker 1: a statistical analysis system or s A S I was 80 00:04:15,080 --> 00:04:18,839 Speaker 1: for agricultural research actually to crunch some of that data 81 00:04:19,040 --> 00:04:23,640 Speaker 1: exactly statistically analyzing the information coming back from an agricultural project. 82 00:04:24,080 --> 00:04:27,240 Speaker 1: And he realized that there was a broader application for 83 00:04:27,279 --> 00:04:31,080 Speaker 1: this kind of statistical model for lots of different industries. 84 00:04:31,120 --> 00:04:33,720 Speaker 1: And so that's when he and Saul's got together and 85 00:04:33,960 --> 00:04:37,520 Speaker 1: UH and founded s A S and UH. He led 86 00:04:37,560 --> 00:04:40,440 Speaker 1: the company to grow every single year. And he's been 87 00:04:40,480 --> 00:04:43,320 Speaker 1: the CEO for essentially thirty five years now, and every 88 00:04:43,400 --> 00:04:47,360 Speaker 1: year he's been CEO, the company has grown. And perhaps 89 00:04:47,360 --> 00:04:50,400 Speaker 1: the most remarkable thing, I think, according to what I read, 90 00:04:51,000 --> 00:04:54,080 Speaker 1: the company has never laid off a single employee. Yeah, 91 00:04:54,080 --> 00:04:57,040 Speaker 1: they're they're supposedly completely excellent to work for. I think 92 00:04:57,040 --> 00:05:00,960 Speaker 1: there are number two behind all companies aside from Google, 93 00:05:01,440 --> 00:05:05,200 Speaker 1: uh in like employee satisfaction ALVE. I mean, it's it's 94 00:05:05,200 --> 00:05:07,240 Speaker 1: pretty amazing. Now, that doesn't mean that someone hasn't been 95 00:05:07,279 --> 00:05:09,359 Speaker 1: fired from that company, but no one has been No 96 00:05:09,400 --> 00:05:12,520 Speaker 1: one's job has been eliminated due to like cutbacks or something, 97 00:05:13,000 --> 00:05:16,239 Speaker 1: which you know, when you're when you're talking thirty five years, 98 00:05:16,480 --> 00:05:19,680 Speaker 1: that's amazing and UH And there have been books written 99 00:05:19,720 --> 00:05:23,920 Speaker 1: about his management style. He's he's often shown as sort 100 00:05:23,920 --> 00:05:28,040 Speaker 1: of an example to folks about how to manage a company. 101 00:05:28,080 --> 00:05:31,760 Speaker 1: I had heard that he kind of developed his philosophy 102 00:05:31,839 --> 00:05:35,840 Speaker 1: while he was working on these ground systems for NASA, 103 00:05:35,920 --> 00:05:39,240 Speaker 1: because those projects had a lot of turnover, and as 104 00:05:39,279 --> 00:05:42,039 Speaker 1: a result, he was like, this is not the best 105 00:05:42,040 --> 00:05:44,960 Speaker 1: way to get anything done because you have to you 106 00:05:44,960 --> 00:05:47,359 Speaker 1: have to ramp people up as they come into replace people. 107 00:05:47,680 --> 00:05:50,880 Speaker 1: You're set back when someone leaves, so and a lot 108 00:05:50,880 --> 00:05:53,320 Speaker 1: of time to reading and spinning whales. Yeah, but yeah, 109 00:05:53,360 --> 00:05:55,240 Speaker 1: it's you know, it's one of those companies that add 110 00:05:55,240 --> 00:05:58,919 Speaker 1: has all kinds of services on its campuses and and 111 00:05:59,040 --> 00:06:03,640 Speaker 1: lots of educational support and snacks in the break room, 112 00:06:03,800 --> 00:06:06,720 Speaker 1: you know. And uh, from a from a personal standpoint, 113 00:06:06,800 --> 00:06:09,440 Speaker 1: he met his wife Anne while he was a senior 114 00:06:09,520 --> 00:06:13,039 Speaker 1: at at North Carolina State and she was attending Meredith College. 115 00:06:13,279 --> 00:06:16,640 Speaker 1: And they have three kids. So you gotta think, you know, 116 00:06:16,800 --> 00:06:18,600 Speaker 1: a kid of a billionaire. Now, a lot of these 117 00:06:18,600 --> 00:06:20,760 Speaker 1: billionaires were gonna be talking about. Another interesting thing I 118 00:06:20,880 --> 00:06:22,800 Speaker 1: found out about a lot of them is that many 119 00:06:22,839 --> 00:06:27,280 Speaker 1: of them are philanthropists. Some of them are philanthropists to 120 00:06:27,520 --> 00:06:30,240 Speaker 1: such an extreme as to it, you know, they plan 121 00:06:30,320 --> 00:06:34,160 Speaker 1: on giving away a large amount of their wealth before 122 00:06:34,440 --> 00:06:37,880 Speaker 1: they pass on. And uh, and I know that there 123 00:06:37,920 --> 00:06:40,120 Speaker 1: there's actually a fairly common thing I've heard among a 124 00:06:40,120 --> 00:06:42,680 Speaker 1: lot of these people who have said they want to 125 00:06:42,720 --> 00:06:45,719 Speaker 1: make sure that their their kids understand the value of 126 00:06:45,800 --> 00:06:49,400 Speaker 1: hard work and the responsibility and not just coast along 127 00:06:50,000 --> 00:06:53,200 Speaker 1: on the accomplishments of the parents. Right. Yeah, Since so 128 00:06:53,240 --> 00:06:55,080 Speaker 1: many of these people, you know, worked themselves with the 129 00:06:55,120 --> 00:06:57,320 Speaker 1: ground up, they kind of go that that was a 130 00:06:57,360 --> 00:06:59,920 Speaker 1: good life lesson. Yeah. Yeah, a few of them had 131 00:07:00,240 --> 00:07:03,520 Speaker 1: somewhat privileged upbringings, but a lot of them actually came 132 00:07:03,560 --> 00:07:06,720 Speaker 1: from from pretty humble beginnings and had worked their way 133 00:07:06,839 --> 00:07:10,240 Speaker 1: up to uh, you know, not just not just the 134 00:07:10,240 --> 00:07:13,440 Speaker 1: top of their their company, but the top of the 135 00:07:13,760 --> 00:07:18,520 Speaker 1: financial industry. So let's move on to number fourteen. This 136 00:07:18,680 --> 00:07:23,280 Speaker 1: is our first Schmoogle person, as I recall, that's uh 137 00:07:23,400 --> 00:07:27,200 Speaker 1: Eric Schmidt. Yes, yes, he's worth a reported eight point 138 00:07:27,240 --> 00:07:30,760 Speaker 1: two billion in net yep, and he was he used 139 00:07:30,800 --> 00:07:33,440 Speaker 1: to be the CEO for Google. He was the CEO 140 00:07:33,520 --> 00:07:36,400 Speaker 1: for Google for several years. He's currently the executive chairman 141 00:07:36,800 --> 00:07:41,600 Speaker 1: and international Ambassador. I think that's a honorary title. He actually, 142 00:07:41,880 --> 00:07:44,800 Speaker 1: well not just honorary, because he went to North Korea. Yeah, 143 00:07:44,840 --> 00:07:47,720 Speaker 1: she just went with that with his daughter and um 144 00:07:47,760 --> 00:07:50,680 Speaker 1: Bill Richardson to talk to the leaders of North Korea 145 00:07:50,720 --> 00:07:55,680 Speaker 1: about opening up internet channels. And apparently some of those 146 00:07:55,680 --> 00:08:00,320 Speaker 1: talks actually started to see some some results. Apparently, UH, 147 00:08:00,680 --> 00:08:05,280 Speaker 1: North Korea began to allow foreign visitors more access to 148 00:08:05,440 --> 00:08:08,640 Speaker 1: things like WiFi, and some folks are saying it's a 149 00:08:08,680 --> 00:08:12,960 Speaker 1: direct result of Eric Schmidt's visit. That being said, as 150 00:08:13,000 --> 00:08:17,160 Speaker 1: we're recording this podcast, there is a kerfuffle in the 151 00:08:17,200 --> 00:08:21,480 Speaker 1: North Korea area, and so I would imagine some of 152 00:08:21,520 --> 00:08:25,640 Speaker 1: those issues are becoming a bit more complicated at the moment, 153 00:08:26,840 --> 00:08:29,680 Speaker 1: as as they tend to do when nuclear warheads are involved. 154 00:08:30,320 --> 00:08:34,120 Speaker 1: But he's you know, I always heard of Eric Schmidt 155 00:08:34,240 --> 00:08:36,439 Speaker 1: as the CEO of Google and being like a kind 156 00:08:36,440 --> 00:08:40,720 Speaker 1: of this shrewd businessman. I did not realize because I 157 00:08:40,720 --> 00:08:43,000 Speaker 1: mean I just never had looked into his background very much. 158 00:08:43,000 --> 00:08:45,480 Speaker 1: I didn't realize that he has a background not just 159 00:08:45,600 --> 00:08:49,000 Speaker 1: in business, but in actual programming. Yeah, he got his 160 00:08:49,080 --> 00:08:51,840 Speaker 1: engineering degree than a PhD in computer science. I think 161 00:08:51,840 --> 00:08:53,960 Speaker 1: he didn't. He was brought on to Google back in 162 00:08:54,000 --> 00:08:56,719 Speaker 1: two thousand one as the chief executive to bring a 163 00:08:56,720 --> 00:08:58,880 Speaker 1: little bit more business experience into the next Right, he 164 00:08:58,920 --> 00:09:02,400 Speaker 1: had been the CEO of Novel before that, and but 165 00:09:02,480 --> 00:09:06,400 Speaker 1: he he had actually co authored the lex analysis software 166 00:09:06,400 --> 00:09:10,240 Speaker 1: program for Unix and UH, and so yeah, he's he's 167 00:09:10,280 --> 00:09:14,240 Speaker 1: also he's our second PhD. Um and uh. He got 168 00:09:14,240 --> 00:09:17,679 Speaker 1: that the University of California while he was actually working 169 00:09:17,679 --> 00:09:19,920 Speaker 1: on another project there. So he's working on a project 170 00:09:19,960 --> 00:09:22,520 Speaker 1: at the University of California and pursues a PhD at 171 00:09:22,520 --> 00:09:25,040 Speaker 1: the same time. Of course, he was at one point 172 00:09:25,040 --> 00:09:29,400 Speaker 1: the technology advisor to President Obama. He was also at 173 00:09:29,440 --> 00:09:32,800 Speaker 1: one point on the board of directors for Apple, right. 174 00:09:33,120 --> 00:09:36,880 Speaker 1: He did resign from that position after it was sort 175 00:09:36,920 --> 00:09:40,240 Speaker 1: of like there was some tensions between Google and Apple, 176 00:09:40,280 --> 00:09:43,560 Speaker 1: mainly stemming from iOS versus Android. In fact, I don't 177 00:09:43,559 --> 00:09:45,520 Speaker 1: think it was called iOS at the time. Yeah, because 178 00:09:45,520 --> 00:09:48,079 Speaker 1: because he joined it in two thousand and six. Um. 179 00:09:48,120 --> 00:09:50,200 Speaker 1: And and then when when everything was kind of golden 180 00:09:50,200 --> 00:09:52,160 Speaker 1: and people were going like our Google and Apple going 181 00:09:52,200 --> 00:09:54,560 Speaker 1: to make beautiful babies together, and then they were like, yeah, no, 182 00:09:54,640 --> 00:09:57,760 Speaker 1: they're not. Is that they both had they both had babies, 183 00:09:58,240 --> 00:10:01,800 Speaker 1: and they both thought their baby was the most and 184 00:10:01,800 --> 00:10:05,240 Speaker 1: then they tried to fight them with Pokemon. Right, Yeah, 185 00:10:05,600 --> 00:10:09,240 Speaker 1: you just gave me a great business idea that I'm 186 00:10:09,240 --> 00:10:12,200 Speaker 1: going to pursue after this podcast. Bat Hey, hey, hey, hey, 187 00:10:12,400 --> 00:10:16,840 Speaker 1: don't get away Vocabama. Uh. Yeah, So he he was 188 00:10:16,920 --> 00:10:18,839 Speaker 1: on the board of directors for Apple for a while, 189 00:10:19,200 --> 00:10:22,600 Speaker 1: he stepped down. There were there was some mounting tensions 190 00:10:22,640 --> 00:10:24,880 Speaker 1: between the two companies, and it was pretty clear that 191 00:10:25,360 --> 00:10:30,040 Speaker 1: it was going to be difficult to maintain a advisory 192 00:10:30,080 --> 00:10:33,040 Speaker 1: position at one company when York, the company you are 193 00:10:33,040 --> 00:10:36,600 Speaker 1: the CEO of, is seen as an increasingly as a competitor, 194 00:10:37,040 --> 00:10:39,520 Speaker 1: so considered a conflict of interest, and he stepped down. 195 00:10:41,240 --> 00:10:44,200 Speaker 1: He married a woman by the name of Windy Boyle 196 00:10:44,720 --> 00:10:47,480 Speaker 1: and had two children with her, but they separated in 197 00:10:47,600 --> 00:10:51,400 Speaker 1: two thousand eleven, and now he's dating a concert pianist. 198 00:10:52,320 --> 00:10:54,800 Speaker 1: I think one really interesting thing about a bunch of 199 00:10:54,840 --> 00:10:59,200 Speaker 1: these big, big names is that technically their salaries are 200 00:10:59,200 --> 00:11:02,080 Speaker 1: are practical nothing. In in Eric Schmidt's case, as of 201 00:11:02,120 --> 00:11:04,760 Speaker 1: two thousand eight, anyway, his salary was technically one dollar 202 00:11:04,840 --> 00:11:07,600 Speaker 1: per year. And you know, all of his fortune is 203 00:11:07,720 --> 00:11:09,760 Speaker 1: is wrapped up in all of these stock options. Yeah, 204 00:11:09,800 --> 00:11:13,319 Speaker 1: you usually end up getting the majority of your compensation 205 00:11:13,400 --> 00:11:15,760 Speaker 1: ends up coming in the form of of stocks and 206 00:11:15,840 --> 00:11:20,200 Speaker 1: other investments, uh, which which which is fair when you 207 00:11:20,240 --> 00:11:23,319 Speaker 1: know it's you go from a stock value of eighty 208 00:11:23,320 --> 00:11:26,240 Speaker 1: five dollars to over six hundred and three years it 209 00:11:26,320 --> 00:11:28,640 Speaker 1: does suggest that that you might have made one or 210 00:11:28,679 --> 00:11:31,960 Speaker 1: two good calls right in your time, especially when when 211 00:11:32,000 --> 00:11:34,800 Speaker 1: you're the one who who created the launch of those 212 00:11:34,800 --> 00:11:37,719 Speaker 1: stock options. That, yeah, that speaks well for you. I'm 213 00:11:37,760 --> 00:11:40,480 Speaker 1: almost certain that taxes have something to do with that 214 00:11:40,559 --> 00:11:44,679 Speaker 1: one dollar salary, but since I'm nowhere near a billionaire, 215 00:11:44,760 --> 00:11:48,040 Speaker 1: I don't know for sure. Uh. Let's move down to 216 00:11:48,080 --> 00:11:51,559 Speaker 1: the next person, number thirteen. Now here's the first person 217 00:11:51,760 --> 00:11:55,440 Speaker 1: whose name I'm going to butcher. It's Pierre Amadyar, who 218 00:11:55,600 --> 00:11:59,160 Speaker 1: is worth eight point seven billion dollars. He's better known 219 00:11:59,280 --> 00:12:03,120 Speaker 1: as the founder of eBay. And of course eBay is 220 00:12:03,160 --> 00:12:07,199 Speaker 1: that auction site that did really, really well. I mean 221 00:12:07,200 --> 00:12:11,160 Speaker 1: it was it exploded on the Internet when it shortly 222 00:12:11,200 --> 00:12:14,560 Speaker 1: after debut. I think a debuted in in like ninety five, 223 00:12:14,600 --> 00:12:18,880 Speaker 1: it was pretty early. Yeah, eBay launched in and it 224 00:12:18,960 --> 00:12:21,800 Speaker 1: did it. Of course, was one of those companies that 225 00:12:21,920 --> 00:12:24,080 Speaker 1: gave a lot of other people the idea that the 226 00:12:24,120 --> 00:12:26,839 Speaker 1: Internet was a place to make your fortune. And uh, 227 00:12:26,880 --> 00:12:29,200 Speaker 1: and I mean, how could you deny it? I mean, obviously, 228 00:12:29,240 --> 00:12:32,640 Speaker 1: this this one idea was doing incredibly well, and it 229 00:12:32,679 --> 00:12:38,200 Speaker 1: made Pierre Almadyar a billionaire overnight. When the afternoon over 230 00:12:38,240 --> 00:12:40,839 Speaker 1: afternoon afternoon. In fact, yeah, in the middle of the day. 231 00:12:40,880 --> 00:12:43,880 Speaker 1: He became a billionaire when they held the initial public 232 00:12:43,920 --> 00:12:47,680 Speaker 1: offering for eBay. Yeah, so three years after he launches, 233 00:12:47,760 --> 00:12:51,040 Speaker 1: he becomes a billionaire because of the you know, the 234 00:12:51,080 --> 00:12:55,080 Speaker 1: interest in this company. So again that's before the dot 235 00:12:55,120 --> 00:13:00,600 Speaker 1: com bubble bursts. So eBay had a lot of the 236 00:13:00,720 --> 00:13:04,080 Speaker 1: right parts in place to survive the dot com bubble. 237 00:13:04,360 --> 00:13:06,840 Speaker 1: But it also I think helped create the dot com 238 00:13:06,840 --> 00:13:09,560 Speaker 1: bubble in a way because all these other people said 239 00:13:10,080 --> 00:13:13,600 Speaker 1: that was possible, Why can't I Yeah, there's a lot 240 00:13:13,600 --> 00:13:16,320 Speaker 1: of bandwagoning that happened, and and at a certain point, 241 00:13:16,400 --> 00:13:19,760 Speaker 1: you know, yeah, you can't support hence bubble. Yeah. Yeah. 242 00:13:20,080 --> 00:13:23,839 Speaker 1: Now he was born in France, uh and he now 243 00:13:23,920 --> 00:13:28,520 Speaker 1: makes his home in America. He is his parents were Iranian. 244 00:13:28,960 --> 00:13:32,160 Speaker 1: Still are I mentioned he's only forty five years old. 245 00:13:32,240 --> 00:13:34,760 Speaker 1: Forty five years old, and he's given away a lot 246 00:13:34,880 --> 00:13:37,920 Speaker 1: of his wealth already. He is known as a philanthropist, 247 00:13:38,240 --> 00:13:40,839 Speaker 1: and he's one of the people who signed something called 248 00:13:40,840 --> 00:13:44,640 Speaker 1: the Giving Pledge. The Giving Pledge was something proposed by 249 00:13:44,640 --> 00:13:47,200 Speaker 1: the number one entry on our lists. That's something for 250 00:13:47,240 --> 00:13:49,040 Speaker 1: you to listen for when we get there. It was 251 00:13:49,080 --> 00:13:53,080 Speaker 1: co pledged by um Co co created by Warren Buffett. Right, 252 00:13:53,200 --> 00:13:56,480 Speaker 1: Warren Buffett was one of the creators of the Giving Pledge. 253 00:13:56,520 --> 00:13:58,320 Speaker 1: The other one is the number one on our list. 254 00:13:58,320 --> 00:14:00,040 Speaker 1: Warren Befett is not the number one in tech and 255 00:14:00,240 --> 00:14:03,400 Speaker 1: Warren Buffett does not does not He does not appear 256 00:14:03,400 --> 00:14:05,000 Speaker 1: on this list as he is not one of the 257 00:14:05,080 --> 00:14:10,240 Speaker 1: tech guys. But he also created a philanthropic investment firm 258 00:14:10,360 --> 00:14:13,360 Speaker 1: called the Amadyar Network. And this is also not unusual. 259 00:14:13,400 --> 00:14:16,800 Speaker 1: There are several people on this list who have created 260 00:14:17,360 --> 00:14:21,600 Speaker 1: uh foundations that are actually investment firms because what they 261 00:14:21,640 --> 00:14:24,360 Speaker 1: do is they were given a certain amount of grant 262 00:14:24,400 --> 00:14:27,280 Speaker 1: money to start and then they invest that money and 263 00:14:27,320 --> 00:14:30,880 Speaker 1: then from the returns on those investments, they fund various 264 00:14:30,960 --> 00:14:35,640 Speaker 1: charitable efforts. Uh So. He graduated with a degree in 265 00:14:35,720 --> 00:14:39,960 Speaker 1: computer science from Tufts University and for a while before 266 00:14:40,000 --> 00:14:42,920 Speaker 1: he founded eBay, he worked for a subsidiary of a 267 00:14:42,960 --> 00:14:47,800 Speaker 1: little company called Apple Computer. The subsidiaries called Claris and 268 00:14:47,880 --> 00:14:50,920 Speaker 1: that's when he then went on to co found a 269 00:14:50,960 --> 00:14:54,600 Speaker 1: company called in Development, which was originally pen based computers. 270 00:14:54,680 --> 00:14:56,600 Speaker 1: So any sort of computer that would have a pen 271 00:14:56,680 --> 00:14:59,360 Speaker 1: based operating a stem that you would use that's what 272 00:14:59,440 --> 00:15:02,440 Speaker 1: he originally went into. It eventually became a shop which 273 00:15:02,520 --> 00:15:04,960 Speaker 1: was an e commerce site, and then from that he 274 00:15:05,000 --> 00:15:07,840 Speaker 1: got the idea for eBay. Yeah, I think was auction web. 275 00:15:07,920 --> 00:15:10,360 Speaker 1: The first thing that he technically sold was a broken 276 00:15:10,440 --> 00:15:15,440 Speaker 1: laser pointer. Yeah, fantastic. That just makes me think of 277 00:15:15,480 --> 00:15:17,600 Speaker 1: the weird al song about I bought it on ebit. 278 00:15:18,360 --> 00:15:22,040 Speaker 1: Uh and Uh and almady are married Pamela Kerr Almadyar 279 00:15:22,560 --> 00:15:26,000 Speaker 1: who supposedly had a huge pest dispenser collection, and that 280 00:15:26,000 --> 00:15:27,800 Speaker 1: that is this is part of why he decided to 281 00:15:27,800 --> 00:15:32,440 Speaker 1: found eBay because of his wife's pest dispenser wow collection. 282 00:15:32,560 --> 00:15:34,960 Speaker 1: I did not know that. It's always amazing to me 283 00:15:35,040 --> 00:15:40,440 Speaker 1: to hear the the what was the genestic alright number twelve? Oh, 284 00:15:40,560 --> 00:15:45,440 Speaker 1: here we go with a German uh Entry Hasso Plotner, 285 00:15:45,720 --> 00:15:48,880 Speaker 1: who was worth eight point nine billion dollars acoring of 286 00:15:48,920 --> 00:15:51,560 Speaker 1: Forbes and he is the co founder of German software 287 00:15:51,600 --> 00:15:54,360 Speaker 1: company s A P, s A P A G and 288 00:15:54,640 --> 00:15:57,640 Speaker 1: U s A P stands for a system analysis and 289 00:15:57,680 --> 00:16:02,520 Speaker 1: program development or if I'm going to butcher my German 290 00:16:03,400 --> 00:16:07,520 Speaker 1: system and a system analyze on program the vic lunk 291 00:16:08,320 --> 00:16:11,320 Speaker 1: that's I a thrish dish The only thing that I 292 00:16:11,360 --> 00:16:13,760 Speaker 1: can pronounce in German is my own last name. So 293 00:16:14,000 --> 00:16:18,400 Speaker 1: that's that's fair. I got my German is terrible. Uh. 294 00:16:18,880 --> 00:16:23,400 Speaker 1: He he founded this company along with four other former 295 00:16:23,480 --> 00:16:26,400 Speaker 1: IBM colleagues. So he used to work for IBM along 296 00:16:26,400 --> 00:16:30,280 Speaker 1: with these other four gentlemen, and and they they founded 297 00:16:30,320 --> 00:16:32,840 Speaker 1: this and it was a company that made enterprise software. 298 00:16:32,840 --> 00:16:36,560 Speaker 1: Now that means that they made software for other companies. 299 00:16:36,800 --> 00:16:39,200 Speaker 1: It wasn't software for you know, you to bring home 300 00:16:39,200 --> 00:16:41,280 Speaker 1: and install in your personal computer. This is something that 301 00:16:41,680 --> 00:16:45,000 Speaker 1: large companies would use. And in the case of of 302 00:16:45,400 --> 00:16:49,600 Speaker 1: S a P, it was software that's designed to manage 303 00:16:49,600 --> 00:16:53,560 Speaker 1: business operations and customer relations. So you know, this is 304 00:16:53,600 --> 00:16:56,840 Speaker 1: not something that would appeal to small businesses. It was 305 00:16:56,880 --> 00:16:59,080 Speaker 1: meant for big, big, big, big big. Yeah. Yeah. There's 306 00:16:59,080 --> 00:17:01,440 Speaker 1: a lot of database kind of crunching going on in 307 00:17:01,480 --> 00:17:04,479 Speaker 1: the process. But that means, you know, big companies mean 308 00:17:04,560 --> 00:17:07,159 Speaker 1: big customers. So it's it's one of those things that 309 00:17:07,840 --> 00:17:09,840 Speaker 1: a lot of other companies have looked into. You know, 310 00:17:10,160 --> 00:17:12,119 Speaker 1: some of the names we're going to be talking about 311 00:17:12,359 --> 00:17:15,399 Speaker 1: will be familiar to you, but maybe not as a 312 00:17:15,480 --> 00:17:18,760 Speaker 1: customer like a direct customer, but rather that you know, 313 00:17:18,800 --> 00:17:21,400 Speaker 1: of you know the name, and maybe if you work 314 00:17:21,400 --> 00:17:23,600 Speaker 1: for a big company and work with those those products 315 00:17:23,600 --> 00:17:26,679 Speaker 1: you know the name of, you know some of the software, 316 00:17:26,760 --> 00:17:29,520 Speaker 1: but you know, yes, yeah against on your computer at home, 317 00:17:29,560 --> 00:17:31,240 Speaker 1: you're not going to have this kind of stuff installed. 318 00:17:31,600 --> 00:17:34,240 Speaker 1: But um yeah yeah he he um co founded this 319 00:17:34,280 --> 00:17:38,680 Speaker 1: back in two he's he's sixty nine as of right now. Yep, 320 00:17:38,840 --> 00:17:44,000 Speaker 1: and uh he uh he he has an interest in 321 00:17:44,240 --> 00:17:47,760 Speaker 1: lots of different things, including yachting and uh. And his 322 00:17:47,920 --> 00:17:51,200 Speaker 1: interest in yachting, he has seen himself compete head to 323 00:17:51,280 --> 00:17:53,920 Speaker 1: head against another person who will appear on our list 324 00:17:54,119 --> 00:17:57,320 Speaker 1: further down. I'll go ahead and spoil it because it's 325 00:17:57,320 --> 00:17:59,200 Speaker 1: too funny and I will never remember by the time 326 00:17:59,240 --> 00:18:03,840 Speaker 1: we get down to to this fellow Larry Ellison, CEO 327 00:18:03,920 --> 00:18:07,919 Speaker 1: of Oracle, So Larry Elson very well known for his 328 00:18:08,040 --> 00:18:13,920 Speaker 1: yachting uh interests and uh and how so Platner have had. 329 00:18:14,640 --> 00:18:18,440 Speaker 1: So they've both participated in yachting events where their individual 330 00:18:18,520 --> 00:18:21,359 Speaker 1: yachts went directly head to head against each other. And 331 00:18:21,400 --> 00:18:26,359 Speaker 1: apparently there have been words exchanged battle yachts, some in 332 00:18:26,480 --> 00:18:32,119 Speaker 1: German battle battle yachts driven by babies. All right, we're 333 00:18:32,160 --> 00:18:34,600 Speaker 1: getting a little too far. That's sorry. It's maybe like 334 00:18:34,640 --> 00:18:36,840 Speaker 1: after season four or five and things are starting to 335 00:18:36,840 --> 00:18:40,560 Speaker 1: peter off, we have to introduce a new twist. But yeah, 336 00:18:40,600 --> 00:18:42,560 Speaker 1: I thought that was kind of interesting that these guys 337 00:18:43,080 --> 00:18:46,240 Speaker 1: and I got really snarky in my notes, didn't. I said, 338 00:18:46,600 --> 00:18:48,840 Speaker 1: it shows that the CEO still know how to have fun, 339 00:18:48,920 --> 00:18:51,760 Speaker 1: just like the rest of us common folk. Uh. He 340 00:18:51,840 --> 00:18:55,560 Speaker 1: has also Plattner has also supported philanthropic efforts. In his case, 341 00:18:55,680 --> 00:18:59,520 Speaker 1: he has spent a lot of money UM to support 342 00:18:59,600 --> 00:19:03,160 Speaker 1: effort in South Africa to combat AIDS and the AIDS 343 00:19:03,200 --> 00:19:06,639 Speaker 1: crisis there, along with other charitable efforts not just not 344 00:19:06,800 --> 00:19:09,120 Speaker 1: just that one. UM. And he is married and has 345 00:19:09,200 --> 00:19:13,800 Speaker 1: two kids. Alright, moving up to number eleven. Now, Lauren, 346 00:19:13,800 --> 00:19:17,640 Speaker 1: I'm gonna let you take this one because because she's 347 00:19:17,720 --> 00:19:20,120 Speaker 1: the woman. What what is I get that I don't 348 00:19:20,200 --> 00:19:23,679 Speaker 1: I don't understand what you're getting at, Lauren because we 349 00:19:23,800 --> 00:19:28,000 Speaker 1: share the same name. That's why do you know? Is 350 00:19:28,160 --> 00:19:31,280 Speaker 1: it pronounced Lauren? And okay, all right, Lauren Powell Jobs 351 00:19:31,440 --> 00:19:34,760 Speaker 1: worth a net ten point seven billion UM. She is 352 00:19:34,800 --> 00:19:37,240 Speaker 1: she is the wealthiest woman in tech in fact, and 353 00:19:37,480 --> 00:19:41,480 Speaker 1: this is this is um Steve Jobs widow who we 354 00:19:41,480 --> 00:19:45,320 Speaker 1: are talking about so um. She she most of her 355 00:19:45,359 --> 00:19:48,600 Speaker 1: wealth comes from the fact that she owns seven point 356 00:19:48,640 --> 00:19:51,760 Speaker 1: three percent of a little entertainment company you may have 357 00:19:51,800 --> 00:19:55,960 Speaker 1: heard about, Disney, yep, seven point of Disney. That that 358 00:19:56,040 --> 00:20:00,560 Speaker 1: translates to about six point nine billion dollars worth of cares. Yeah, 359 00:20:00,680 --> 00:20:03,720 Speaker 1: and this is through the trust that Steve Jobs left 360 00:20:03,720 --> 00:20:06,320 Speaker 1: to her when he passed away. Yes, but she's also 361 00:20:06,400 --> 00:20:09,880 Speaker 1: I mean, you know it's not she has inherited quite 362 00:20:09,920 --> 00:20:12,280 Speaker 1: a bit from Steve Jobs, but she herself has been 363 00:20:12,359 --> 00:20:15,840 Speaker 1: very instrumental in several different companies. Oh. Absolutely, she's She's 364 00:20:15,840 --> 00:20:18,159 Speaker 1: only forty nine years old. She's um. She's got a 365 00:20:18,200 --> 00:20:23,520 Speaker 1: few degrees in business, and unlike Jobs, she stuck with 366 00:20:23,560 --> 00:20:26,240 Speaker 1: her her studies. But he met her when she was 367 00:20:26,280 --> 00:20:29,480 Speaker 1: in college, I believe, and so at the at Stanford University. 368 00:20:29,680 --> 00:20:32,640 Speaker 1: And she is the co founder and president of the 369 00:20:32,760 --> 00:20:36,040 Speaker 1: board of for College Track and College Track as an 370 00:20:36,040 --> 00:20:39,280 Speaker 1: after school program that's designed to help high school students 371 00:20:40,000 --> 00:20:43,640 Speaker 1: study and and excel and also to succeed in college. 372 00:20:43,960 --> 00:20:46,920 Speaker 1: And uh. And her interest in education goes well beyond that, 373 00:20:47,119 --> 00:20:49,160 Speaker 1: which is you know, this makes sense too, because Steve 374 00:20:49,240 --> 00:20:51,600 Speaker 1: Jobs was very much interested in education when he was 375 00:20:51,960 --> 00:20:55,639 Speaker 1: the head of the Next Computer back back when Steve 376 00:20:55,720 --> 00:21:00,760 Speaker 1: Jobs initially left Apple or was fired for Apple, depends 377 00:21:00,760 --> 00:21:03,760 Speaker 1: on your point of view. When he left, he founded 378 00:21:03,800 --> 00:21:06,120 Speaker 1: a new company called Next Computers, and it was really 379 00:21:06,240 --> 00:21:08,720 Speaker 1: for to make an educational computer, like a computer for 380 00:21:09,000 --> 00:21:13,119 Speaker 1: education systems for students. Uh. And then he was called 381 00:21:13,160 --> 00:21:15,840 Speaker 1: back to save Apple when it was on the brink 382 00:21:15,880 --> 00:21:20,119 Speaker 1: of bankruptcy and he uh, he never really lost his 383 00:21:20,119 --> 00:21:23,000 Speaker 1: his passion for education, but he definitely had a lot 384 00:21:23,040 --> 00:21:25,359 Speaker 1: more on his play at that point. Well. She has 385 00:21:25,440 --> 00:21:29,359 Speaker 1: dedicated much of her life to working on ways to 386 00:21:30,040 --> 00:21:33,720 Speaker 1: improve education and to give students tools that they could 387 00:21:33,800 --> 00:21:38,280 Speaker 1: use to improve themselves. And she also co founded tera Vera, 388 00:21:38,359 --> 00:21:42,080 Speaker 1: which is a natural foods company. She served on the 389 00:21:42,160 --> 00:21:44,840 Speaker 1: board of directors for a couple of other companies like Achieva, 390 00:21:44,960 --> 00:21:47,440 Speaker 1: which is a company that makes study tools for students. 391 00:21:47,480 --> 00:21:50,879 Speaker 1: Again and um, she was appointed in twenty ten to 392 00:21:50,880 --> 00:21:53,640 Speaker 1: be part of the White House Council for Community Solutions. 393 00:21:53,680 --> 00:21:58,720 Speaker 1: She was appointed by President Barack Obama himself. Um and yeah. 394 00:21:58,760 --> 00:22:01,879 Speaker 1: She received an NBA for Stanford and n and married 395 00:22:01,920 --> 00:22:06,000 Speaker 1: Steve Jobs that same year and they had three kids together. Yeah. Right. Lately, 396 00:22:06,080 --> 00:22:08,760 Speaker 1: she's been really into promoting the Dream Act, which is 397 00:22:08,800 --> 00:22:12,760 Speaker 1: the Development, Relief and Education for Alien Minors Act. It's 398 00:22:12,800 --> 00:22:15,160 Speaker 1: failed to pass through Congress a couple of times now, 399 00:22:15,200 --> 00:22:20,520 Speaker 1: but it would give undocumented US citizens, undocumented US citizens, 400 00:22:20,560 --> 00:22:25,000 Speaker 1: undocumented US youth a chance to gain citizenship by um 401 00:22:25,080 --> 00:22:28,080 Speaker 1: either joining the armed services or going to college. Yeah. 402 00:22:28,080 --> 00:22:29,720 Speaker 1: The idea of being that these are people who are 403 00:22:29,760 --> 00:22:34,760 Speaker 1: going to uh to contribute positively to society, and therefore 404 00:22:34,880 --> 00:22:39,719 Speaker 1: society should extend to them the opportunity, right, especially if 405 00:22:39,720 --> 00:22:41,800 Speaker 1: they came here before they were fifteen. And you know 406 00:22:41,880 --> 00:22:44,000 Speaker 1: that's because that's not at that point, that's not their fault, 407 00:22:44,480 --> 00:22:48,240 Speaker 1: so right, and beyond that, just the idea of for 408 00:22:48,280 --> 00:22:51,520 Speaker 1: the United States to succeed, we have to encourage uh, 409 00:22:51,720 --> 00:22:55,359 Speaker 1: you know, excellence, and so you know, this is one 410 00:22:55,400 --> 00:22:58,240 Speaker 1: way of doing it. Yeah, it's really interesting. Well that's 411 00:22:58,280 --> 00:23:01,119 Speaker 1: that's our first batch of five. Uh. Let's take a 412 00:23:01,240 --> 00:23:11,800 Speaker 1: quick break to thank our sponsor. All right, let's get 413 00:23:11,800 --> 00:23:14,840 Speaker 1: back to talking about some of these uh, these really 414 00:23:14,840 --> 00:23:20,000 Speaker 1: influential billionaires in technology. So at number ten, we have 415 00:23:20,200 --> 00:23:23,600 Speaker 1: a Zeem PMG who is worth about eleven point two 416 00:23:24,119 --> 00:23:28,840 Speaker 1: billion dollars and he's an Indian businessman who's the chairman 417 00:23:28,960 --> 00:23:31,600 Speaker 1: of white Pro Limited, which is one of those companies 418 00:23:31,880 --> 00:23:36,600 Speaker 1: that started doing one thing and then dramatically changed its focus. 419 00:23:36,720 --> 00:23:39,720 Speaker 1: I know, I know currently they do they work with outsourcing. Yes, 420 00:23:40,240 --> 00:23:44,040 Speaker 1: it started out making vegetable oil. Vegetable oil, that is 421 00:23:45,040 --> 00:23:48,639 Speaker 1: a jump. Yeah, I started making vegetable oil for for 422 00:23:48,680 --> 00:23:53,359 Speaker 1: Indian food and then um, it eventually began to diversify. 423 00:23:53,480 --> 00:23:59,320 Speaker 1: It started making hydrogen atdive, fats, toilet trees, soaps, lighting products, hydraulics. 424 00:23:59,640 --> 00:24:03,160 Speaker 1: It's it is. It is still diversifying right now. It's well, 425 00:24:03,240 --> 00:24:07,240 Speaker 1: the the entire outsourcing industry is getting pretty tough right now, 426 00:24:07,240 --> 00:24:10,520 Speaker 1: and so they're they just spun off its consumer products 427 00:24:10,600 --> 00:24:13,560 Speaker 1: arm and two why Pro Enterprises and bought a skincare 428 00:24:13,640 --> 00:24:18,720 Speaker 1: firm in December. Yeah, so this is um. This is 429 00:24:18,720 --> 00:24:20,600 Speaker 1: one of those things where if you were to have 430 00:24:20,720 --> 00:24:23,800 Speaker 1: the you've heard of the elevator's speech right when you 431 00:24:23,800 --> 00:24:26,160 Speaker 1: you are in an elevator with someone else and they 432 00:24:26,160 --> 00:24:28,239 Speaker 1: asked you what you do, you have to have like 433 00:24:28,560 --> 00:24:30,760 Speaker 1: a way of summing up what you do in just 434 00:24:30,800 --> 00:24:34,320 Speaker 1: about fifteen seconds that that explains accurately what you do. 435 00:24:35,119 --> 00:24:38,000 Speaker 1: I bet this guy has a hard time doing that, um, 436 00:24:38,119 --> 00:24:41,760 Speaker 1: especially since he's considered Asia's most generous person. He has 437 00:24:41,920 --> 00:24:44,199 Speaker 1: donated a two point three billion and shares a hy 438 00:24:44,240 --> 00:24:48,360 Speaker 1: pro to his educational foundation in February after signing that 439 00:24:48,359 --> 00:24:52,960 Speaker 1: that Buffett giving pledge Buffet slash somebody someone who could 440 00:24:52,960 --> 00:24:56,120 Speaker 1: it be? And that was on top of two billion 441 00:24:56,160 --> 00:24:59,280 Speaker 1: dollars that he had already donated. So again a very 442 00:24:59,359 --> 00:25:04,040 Speaker 1: generous philanthropist. Uh. And he actually holds a degree in 443 00:25:04,080 --> 00:25:08,359 Speaker 1: electrical engineering from Stanford University. UM. And he's married to 444 00:25:08,440 --> 00:25:11,520 Speaker 1: Yasmine prim g and they have two children. All right, 445 00:25:11,680 --> 00:25:13,399 Speaker 1: so let's move on to number nine. Now, this is 446 00:25:13,440 --> 00:25:15,600 Speaker 1: kind of interesting, number nine. This is a guy who 447 00:25:15,640 --> 00:25:19,280 Speaker 1: has been on this list several times and hash seeing 448 00:25:19,440 --> 00:25:24,600 Speaker 1: his his ranking changed pretty dramatically year over year. Uh. 449 00:25:25,000 --> 00:25:27,919 Speaker 1: We expect to see that happen a lot now because 450 00:25:27,960 --> 00:25:31,520 Speaker 1: the company he founded had an initial public offering last 451 00:25:31,600 --> 00:25:35,600 Speaker 1: year back in two thousand twelve, and his personal value 452 00:25:35,720 --> 00:25:39,399 Speaker 1: hinges directly upon the stock price of his company. We are, 453 00:25:39,440 --> 00:25:44,000 Speaker 1: of course, talking about Mark Zuckerberg, founder of Facebook. Yes, 454 00:25:44,080 --> 00:25:46,760 Speaker 1: he is worth a net thirteen point three billion. He 455 00:25:46,880 --> 00:25:49,440 Speaker 1: is also only twenty eight years old, which somehow had 456 00:25:49,560 --> 00:25:52,400 Speaker 1: escaped me up until I was researching this article, and 457 00:25:52,600 --> 00:25:54,960 Speaker 1: that was that was what it hurts it really, it 458 00:25:55,040 --> 00:26:01,080 Speaker 1: really does. Yeah. I am nearly a decade older than 459 00:26:01,160 --> 00:26:05,080 Speaker 1: Zuckerberg and I haven't seen my first billion yet. But 460 00:26:05,119 --> 00:26:08,720 Speaker 1: then I haven't founded a company that has over one 461 00:26:08,800 --> 00:26:12,360 Speaker 1: billion active users either, so I can't really complain, I guess. Yeah, yeah, 462 00:26:12,359 --> 00:26:15,040 Speaker 1: you haven't been working quite as hard. Yeah. Yeah. Facebook 463 00:26:15,080 --> 00:26:17,560 Speaker 1: when public last May at a thirty eight dollars per 464 00:26:17,600 --> 00:26:20,800 Speaker 1: share and had fallen to under twenty by August. It's 465 00:26:20,840 --> 00:26:24,880 Speaker 1: it's rebounded about thirty according to Forbes. Since then. Um yeah, 466 00:26:24,920 --> 00:26:27,520 Speaker 1: this is this was one of those you may remember, 467 00:26:27,680 --> 00:26:30,359 Speaker 1: Chris and I did a podcast all about Facebook going 468 00:26:30,400 --> 00:26:33,720 Speaker 1: public and the issues that surrounded it, and part of 469 00:26:33,760 --> 00:26:36,880 Speaker 1: that was that, um, there was there was a scandal, 470 00:26:37,080 --> 00:26:41,040 Speaker 1: something of a scandal anyway, that when the the company, 471 00:26:41,280 --> 00:26:45,200 Speaker 1: you know, when the actual public offering happened, that Facebook 472 00:26:45,240 --> 00:26:49,680 Speaker 1: had told some of its larger shareholders who would have 473 00:26:49,720 --> 00:26:52,320 Speaker 1: started off right at the very beginning, that the company 474 00:26:52,320 --> 00:26:54,640 Speaker 1: was going to be worth less than what they had 475 00:26:54,680 --> 00:26:57,480 Speaker 1: projected earlier in the year, and that that would in 476 00:26:57,560 --> 00:27:01,640 Speaker 1: turn affect the stock price. But the actual stock price 477 00:27:01,680 --> 00:27:05,679 Speaker 1: itself the starting stock price didn't change, Okay, so uh 478 00:27:05,840 --> 00:27:09,400 Speaker 1: so it's like saying that, you know, this five dollar uh, 479 00:27:09,600 --> 00:27:12,520 Speaker 1: this five dollar thing you bought, turns out it's really 480 00:27:12,600 --> 00:27:15,040 Speaker 1: worth more like three dollars fifty cents, but they don't 481 00:27:15,080 --> 00:27:16,560 Speaker 1: tell you that, and you go and spend the five 482 00:27:16,600 --> 00:27:18,320 Speaker 1: dollars and then you go around to you turn around, 483 00:27:18,320 --> 00:27:20,240 Speaker 1: you decide you don't want you turn around to sell 484 00:27:20,280 --> 00:27:21,920 Speaker 1: it to someone else, but you can only get three 485 00:27:21,920 --> 00:27:25,360 Speaker 1: dollars and fifty cents for it. Um. It's an oversimplified 486 00:27:25,400 --> 00:27:27,600 Speaker 1: way of saying what happened, but that's it's that's essentially 487 00:27:27,600 --> 00:27:30,800 Speaker 1: what happened. And some people or some really some financial 488 00:27:30,800 --> 00:27:33,560 Speaker 1: institutions knew about this and some didn't, and that caused 489 00:27:33,560 --> 00:27:37,199 Speaker 1: a bit of the scandal. Technically, nothing was illegal, but 490 00:27:37,359 --> 00:27:40,560 Speaker 1: some people say that it may have been kind of underhand, 491 00:27:40,600 --> 00:27:43,399 Speaker 1: and yeah, so, uh you know that that was a 492 00:27:43,440 --> 00:27:46,119 Speaker 1: bit of a black eye. And also again because the 493 00:27:46,160 --> 00:27:50,840 Speaker 1: stock price took a hit, Zuckerberg's personal net wealth took 494 00:27:50,880 --> 00:27:53,760 Speaker 1: a hit. Yeah, but like eight point one billion dollars, Yeah, 495 00:27:53,800 --> 00:27:57,400 Speaker 1: that's that's a lot of money. He attended Harvard College, 496 00:27:57,920 --> 00:28:02,720 Speaker 1: but he did not finish matriculating. He dropped out. Um, 497 00:28:02,760 --> 00:28:05,520 Speaker 1: he created Uh, you may remember we've talked about this 498 00:28:05,600 --> 00:28:09,120 Speaker 1: in the past. He created an application called facemash, which 499 00:28:09,160 --> 00:28:12,359 Speaker 1: allowed people to vote on the attractiveness of their fellow 500 00:28:12,400 --> 00:28:14,840 Speaker 1: students and are right, yeah, I remember that from from 501 00:28:14,840 --> 00:28:18,040 Speaker 1: the social network more than anything else. Um, yeah, you know, 502 00:28:18,160 --> 00:28:20,520 Speaker 1: I mean it was just if you could, you could 503 00:28:20,520 --> 00:28:24,040 Speaker 1: call it tacky, but we've seen plenty more of those 504 00:28:24,119 --> 00:28:28,119 Speaker 1: sort of things pop up, mostly from people who voluntarily 505 00:28:28,240 --> 00:28:30,840 Speaker 1: share their image. Face mash was kind of similar to that. 506 00:28:30,880 --> 00:28:33,040 Speaker 1: But then he launched Facebook in two thousand and four 507 00:28:33,080 --> 00:28:35,800 Speaker 1: while he was a student at Harvard, and it dropped 508 00:28:35,800 --> 00:28:39,880 Speaker 1: out to focus primarily upon Facebook, and it got kind 509 00:28:39,920 --> 00:28:43,960 Speaker 1: a little popular hit you know again one billion users, 510 00:28:44,120 --> 00:28:47,640 Speaker 1: so that was pretty exciting. He also is one of 511 00:28:47,680 --> 00:28:50,480 Speaker 1: the people who has signed this giving pledge that we 512 00:28:50,600 --> 00:28:56,520 Speaker 1: talked about that Buffett and uh came up with, And 513 00:28:56,560 --> 00:28:59,800 Speaker 1: so he's probably that pledge, by the way, states that 514 00:29:00,720 --> 00:29:03,080 Speaker 1: the people who signed it are promising essentially to give 515 00:29:03,080 --> 00:29:07,560 Speaker 1: away at least half of their wealth before the pass right. 516 00:29:07,920 --> 00:29:12,480 Speaker 1: So yeah, he's he's also um Glass Doors top employee 517 00:29:12,520 --> 00:29:17,320 Speaker 1: rated CEO. Oh okay, yeah, he also I remember back 518 00:29:17,360 --> 00:29:19,520 Speaker 1: when he was known as the guy who would only 519 00:29:19,560 --> 00:29:21,880 Speaker 1: eat what he could kill. I don't know, did you 520 00:29:21,880 --> 00:29:24,200 Speaker 1: ever read that or hear about that? I heard, I 521 00:29:24,240 --> 00:29:26,600 Speaker 1: heard a crazy internet rumor about it, but I don't 522 00:29:26,600 --> 00:29:28,440 Speaker 1: think that I saw it on a reputable story. So 523 00:29:28,440 --> 00:29:31,120 Speaker 1: I heard I heard about on so many tech podcasts 524 00:29:31,120 --> 00:29:34,200 Speaker 1: back when that that kind of news story broke. But 525 00:29:34,280 --> 00:29:38,160 Speaker 1: then in he posted on his Facebook profile that he 526 00:29:38,240 --> 00:29:40,920 Speaker 1: is now a vegetarian. So maybe he's a really bad 527 00:29:41,000 --> 00:29:44,920 Speaker 1: hunter and he can only catch cucumbers. I think only 528 00:29:44,960 --> 00:29:48,640 Speaker 1: carets would be about my speed personally, Mrs Zuckerberg, I'm 529 00:29:48,720 --> 00:29:53,000 Speaker 1: just joshing, Please don't hunt me. Um. He got married 530 00:29:53,040 --> 00:29:58,480 Speaker 1: in to Priscilla Chan and uh so, yeah he's Um. 531 00:29:59,000 --> 00:30:02,040 Speaker 1: He's doing pretty well for himself. Not too bad that 532 00:30:02,800 --> 00:30:06,520 Speaker 1: despite that one point year old and ranked number nine 533 00:30:06,560 --> 00:30:08,560 Speaker 1: and tech Building well last year he was six, So 534 00:30:08,680 --> 00:30:11,280 Speaker 1: really he should he should feel bad. He's bad, and 535 00:30:11,280 --> 00:30:13,440 Speaker 1: he should feel bad right, exactly, just like I do 536 00:30:13,520 --> 00:30:18,760 Speaker 1: every day. Number eight. Paul Allen. Allen worth that he's 537 00:30:18,920 --> 00:30:21,440 Speaker 1: one of the co founders of Microsoft, the other one 538 00:30:21,520 --> 00:30:25,880 Speaker 1: being well, you know anyway, So he co founded Microsoft. 539 00:30:25,880 --> 00:30:30,360 Speaker 1: He made a lot of his current wealth in real estate. Yeah, 540 00:30:30,680 --> 00:30:34,680 Speaker 1: Vulcan real Estate. It's the name of his company, Vulcan Incorporate, Yeah, 541 00:30:35,160 --> 00:30:38,120 Speaker 1: which also manages his philanthropic efforts, because, like several the 542 00:30:38,120 --> 00:30:41,720 Speaker 1: other billionaires on this list, he is a philanthropist. He 543 00:30:41,920 --> 00:30:44,760 Speaker 1: is also another dropout. He went to Washington State University 544 00:30:44,800 --> 00:30:47,320 Speaker 1: but dropped out after two years to start working in 545 00:30:47,480 --> 00:30:52,000 Speaker 1: Honeywell in Boston. Um And he owns a couple of 546 00:30:52,800 --> 00:30:59,000 Speaker 1: sports teams, right, yeah, the Seattle Seahawks and the Portland's Trailblazers. Yeah, 547 00:30:59,000 --> 00:31:01,320 Speaker 1: it's a it's a football game in our football game 548 00:31:01,400 --> 00:31:04,120 Speaker 1: football team and the basketball. I'm not big on the 549 00:31:04,160 --> 00:31:07,840 Speaker 1: sports as it turns out. Yeah, yeah, we neither of us. 550 00:31:07,880 --> 00:31:10,600 Speaker 1: I think are really really only to two sports I 551 00:31:10,640 --> 00:31:13,640 Speaker 1: follow in either of them are football or basketball. Just 552 00:31:14,040 --> 00:31:17,040 Speaker 1: baseball and hockey. And I don't follow hockey anymore because 553 00:31:17,400 --> 00:31:21,719 Speaker 1: I was gonna say pro wrestling sport that sports entertainment. Okay, alright, 554 00:31:22,760 --> 00:31:25,560 Speaker 1: but anyway, Paul Ellen lately has been selling off a 555 00:31:25,560 --> 00:31:27,840 Speaker 1: lot of his shares with Microsoft and starting to um 556 00:31:27,960 --> 00:31:31,400 Speaker 1: invest and diversify in a bunch of other stuff. And 557 00:31:31,480 --> 00:31:34,360 Speaker 1: he's he's also he lost his mother recently to Alzheimer's 558 00:31:34,400 --> 00:31:38,200 Speaker 1: and related complications and has been UM really active in 559 00:31:38,360 --> 00:31:43,720 Speaker 1: brain research. Um donated five hundred million to the Allen 560 00:31:43,760 --> 00:31:48,000 Speaker 1: Institute for Brain Science. Yeah, he's He's made some substantial 561 00:31:48,080 --> 00:31:53,560 Speaker 1: contributions financial contributions to lots of different nonprofit organizations. Um. 562 00:31:53,680 --> 00:31:56,960 Speaker 1: He also just another here's a little trivia for you. 563 00:31:57,400 --> 00:31:59,160 Speaker 1: When he took the S A T S he got 564 00:31:59,200 --> 00:32:02,360 Speaker 1: a perfect score, perfect scoring math. That was back in 565 00:32:02,440 --> 00:32:04,440 Speaker 1: both sides. I have heard about the math, but I 566 00:32:04,480 --> 00:32:07,560 Speaker 1: hadn't heard about Yeah back when the s S went 567 00:32:07,600 --> 00:32:10,240 Speaker 1: up to sixteen. Yeah, that was by the way, back 568 00:32:10,360 --> 00:32:12,200 Speaker 1: back in then. That's how it was when I took 569 00:32:12,760 --> 00:32:15,960 Speaker 1: to so back in the day, kids, was the top 570 00:32:16,000 --> 00:32:19,080 Speaker 1: score you could make and you could not You couldn't 571 00:32:19,480 --> 00:32:22,440 Speaker 1: fudge that like that was a perfect score. You know, 572 00:32:22,520 --> 00:32:25,800 Speaker 1: because there are versions of the S A T since 573 00:32:25,880 --> 00:32:28,640 Speaker 1: then where you could quote unquote hit a perfect score 574 00:32:28,680 --> 00:32:31,560 Speaker 1: even if you didn't answer all the questions. Um. Also, 575 00:32:31,800 --> 00:32:36,360 Speaker 1: there was no essay back then. It's just math and 576 00:32:35,040 --> 00:32:40,320 Speaker 1: the math and the words things English. That's it, those 577 00:32:40,360 --> 00:32:43,720 Speaker 1: word things that we do. Yeah, we do them anyway. 578 00:32:43,720 --> 00:32:47,760 Speaker 1: He made a perfect score on that. So, yes, smart guy. UM. 579 00:32:47,800 --> 00:32:51,040 Speaker 1: He never never married. He is he's a bachelor he's had, 580 00:32:52,280 --> 00:32:56,000 Speaker 1: uh had just the only bachelor I think that we 581 00:32:56,080 --> 00:32:57,760 Speaker 1: have on this list. Is there a call I might 582 00:32:57,760 --> 00:32:59,240 Speaker 1: be wrong about that. We'll find out when we get 583 00:32:59,240 --> 00:33:02,560 Speaker 1: towards the very bottle him. But um, yeah, never married 584 00:33:02,680 --> 00:33:06,360 Speaker 1: number seven. Interesting guy. Uh, this is a guy that 585 00:33:06,400 --> 00:33:10,360 Speaker 1: I've seen in action on stage in person, and he 586 00:33:10,520 --> 00:33:14,280 Speaker 1: is a force to be reckoned with. We're talking about 587 00:33:14,520 --> 00:33:19,960 Speaker 1: Steve Balmer, CEO of Microsoft. So we just and chairman. Yes, 588 00:33:19,960 --> 00:33:22,000 Speaker 1: we just went from the one of the co founders 589 00:33:22,040 --> 00:33:26,360 Speaker 1: of Microsoft to the current CEO. He's worth a net 590 00:33:26,360 --> 00:33:31,040 Speaker 1: fifteen point two billion. He was born in Detroit and uh. 591 00:33:31,120 --> 00:33:34,600 Speaker 1: He also went to Harvard University, but he finished Uh 592 00:33:34,760 --> 00:33:38,600 Speaker 1: he like Zuckerberg, he earned a degree in mathematics and 593 00:33:38,720 --> 00:33:42,400 Speaker 1: one in economics. UM. And he met he met one 594 00:33:42,400 --> 00:33:45,000 Speaker 1: of the the other co founder of Microsoft, Bill Gates. 595 00:33:45,040 --> 00:33:48,320 Speaker 1: He met him back in college, right, yeah, yeah, he 596 00:33:48,320 --> 00:33:50,080 Speaker 1: he had he had started going to Stanford for a 597 00:33:50,080 --> 00:33:53,360 Speaker 1: graduate degree. Um, and that was about when Bill Gates 598 00:33:53,400 --> 00:33:54,600 Speaker 1: was like, Hey, do you want to come work on 599 00:33:54,600 --> 00:33:57,160 Speaker 1: this crazy project? And he was like yeah, sure yeah. 600 00:33:57,280 --> 00:34:00,480 Speaker 1: So Bill Gates and Paul Allen had founded a Microsoft 601 00:34:00,480 --> 00:34:02,800 Speaker 1: in the seventies. They invite the bomber to come and 602 00:34:02,800 --> 00:34:05,840 Speaker 1: work for Microsoft. He drops out of grad school at 603 00:34:05,880 --> 00:34:09,440 Speaker 1: Stanford and he becomes the thirty employee of Microsoft and 604 00:34:09,520 --> 00:34:12,640 Speaker 1: was a business manager. His salary was about fifty thou 605 00:34:12,840 --> 00:34:15,680 Speaker 1: dollars a year when he first started, and he had 606 00:34:15,760 --> 00:34:19,200 Speaker 1: also received a percentage of ownership in Microsoft. Uh and 607 00:34:19,320 --> 00:34:21,720 Speaker 1: so when it went public, he held about eight percent 608 00:34:22,280 --> 00:34:25,200 Speaker 1: of the company. And since since that time, he sold 609 00:34:25,800 --> 00:34:28,160 Speaker 1: some of that stock off about a little bit about 610 00:34:28,400 --> 00:34:30,960 Speaker 1: around half of it, a little less than half um 611 00:34:31,080 --> 00:34:34,680 Speaker 1: and became the executive vice president of sales and Support. 612 00:34:35,160 --> 00:34:38,360 Speaker 1: Then shortly thereafter he became the president of Microsoft. And 613 00:34:38,400 --> 00:34:41,200 Speaker 1: then when Bill Gates decided to resign to step down 614 00:34:41,200 --> 00:34:45,359 Speaker 1: as CEO, he became. Yeah, so he's he's been he's 615 00:34:45,360 --> 00:34:47,120 Speaker 1: been working there for a total of thirty three years 616 00:34:47,120 --> 00:34:50,800 Speaker 1: and it's been CEO for thirteen. Um. He's he's actually 617 00:34:50,800 --> 00:34:53,000 Speaker 1: a little bit of a contentious CEO right now. He 618 00:34:53,000 --> 00:34:55,759 Speaker 1: only has a forty seven percent approval rating by the 619 00:34:55,800 --> 00:34:59,480 Speaker 1: employees over at Microsoft, according to glass Door. And um, yeah, 620 00:34:59,680 --> 00:35:02,239 Speaker 1: the the Microsoft stock has been down, it's down like 621 00:35:02,239 --> 00:35:05,239 Speaker 1: like one point three two over last year or over 622 00:35:05,239 --> 00:35:07,759 Speaker 1: the past five years, with a seven percent drops it's 623 00:35:07,840 --> 00:35:12,080 Speaker 1: last year. Yeah, there's been There have been several uh 624 00:35:12,360 --> 00:35:16,439 Speaker 1: critical reports about Steve Bomber's performance as CEO and whether 625 00:35:16,560 --> 00:35:19,080 Speaker 1: or not the company's on the right track. Uh. And 626 00:35:19,160 --> 00:35:21,160 Speaker 1: you know there are people who point out products like 627 00:35:21,200 --> 00:35:24,000 Speaker 1: Windows Vista or Windows eight and saying, you know that 628 00:35:24,120 --> 00:35:26,120 Speaker 1: this is an indication that perhaps there needs to be 629 00:35:26,200 --> 00:35:30,640 Speaker 1: someone else leading the way. Um. And also the mobile 630 00:35:30,680 --> 00:35:35,319 Speaker 1: performance of Windows versus Apple, and that they said that 631 00:35:35,320 --> 00:35:38,279 Speaker 1: the Microsoft didn't move on that fast enough and they 632 00:35:38,280 --> 00:35:41,880 Speaker 1: weren't innovators, they were followers. There are some areas of 633 00:35:41,920 --> 00:35:44,560 Speaker 1: Microsoft that I think you can say pretty strongly are 634 00:35:44,600 --> 00:35:46,759 Speaker 1: are are doing really well. One of them is something 635 00:35:46,800 --> 00:35:49,320 Speaker 1: that Lauren and I both enjoy, which is the Xbox 636 00:35:49,680 --> 00:35:53,360 Speaker 1: as console. Um. But you know, there's definitely been a 637 00:35:53,360 --> 00:35:57,680 Speaker 1: lot of criticism. Uh. Also there's the famous if if 638 00:35:57,760 --> 00:35:59,520 Speaker 1: Chris were here, he would demand that I do this. 639 00:36:00,120 --> 00:36:02,839 Speaker 1: There was the famous presentation where Steve Bomber got up 640 00:36:02,880 --> 00:36:08,120 Speaker 1: on stage and started chanting developers, developers, developers, developers, developers 641 00:36:08,480 --> 00:36:12,439 Speaker 1: and clapping his hands and moving around like like well, 642 00:36:12,560 --> 00:36:15,080 Speaker 1: like a crazy person. There's no easy way of saying this. 643 00:36:15,120 --> 00:36:19,000 Speaker 1: If you've not seen the video, the famous Steve Bomber developers, developers, 644 00:36:19,000 --> 00:36:22,440 Speaker 1: developers video. Go to YouTube and do a search. You 645 00:36:22,480 --> 00:36:24,520 Speaker 1: really just have to search for the word developers and 646 00:36:24,560 --> 00:36:28,280 Speaker 1: it looks gonna pop up, trust me. So he he's 647 00:36:28,320 --> 00:36:32,040 Speaker 1: an interesting guy. He married Connie Snyder in nineteen and 648 00:36:32,040 --> 00:36:35,720 Speaker 1: they have three kids. Uh. And he's only the second 649 00:36:35,800 --> 00:36:39,239 Speaker 1: person ever in the United States anyway, to become a 650 00:36:39,280 --> 00:36:43,319 Speaker 1: billionaire due to stock options he received as an employee 651 00:36:43,360 --> 00:36:46,040 Speaker 1: of a corporation where he was neither the founder nor 652 00:36:46,120 --> 00:36:49,760 Speaker 1: the relative of a founder. So the very first person 653 00:36:49,840 --> 00:36:54,560 Speaker 1: was Roberto Goizetta of Coca Cola. He is he is 654 00:36:54,600 --> 00:36:56,200 Speaker 1: also and this is going to come back in a minute, 655 00:36:56,239 --> 00:36:58,880 Speaker 1: leading a group of investors that's trying to buy the 656 00:36:58,960 --> 00:37:01,960 Speaker 1: Sacramento Kings, which is a which is a basketball team. Um, 657 00:37:02,000 --> 00:37:05,120 Speaker 1: and moved them to Seattle, right, So I've heard of basketball. 658 00:37:05,400 --> 00:37:09,320 Speaker 1: That's interesting. So yeah, interesting guy. And you know, again, 659 00:37:09,520 --> 00:37:13,400 Speaker 1: there's a lot of debate about his performance, about his 660 00:37:13,440 --> 00:37:17,959 Speaker 1: management style. UM. And I'll be curious to see, like 661 00:37:18,320 --> 00:37:20,719 Speaker 1: the next over the next five years, what happens over 662 00:37:20,760 --> 00:37:23,040 Speaker 1: in Microsoft. It's it's one of those things where even 663 00:37:23,080 --> 00:37:27,319 Speaker 1: I have some years said I'm surprised that the shareholders 664 00:37:27,320 --> 00:37:33,040 Speaker 1: haven't made But you know, at the same time, uh, 665 00:37:33,120 --> 00:37:36,920 Speaker 1: you know, Balmber's had decades of experience at that company. 666 00:37:37,000 --> 00:37:41,400 Speaker 1: So and you know, I'm not a business person, so 667 00:37:41,480 --> 00:37:43,839 Speaker 1: for me, for me, it's all like you know, oh, well, 668 00:37:43,880 --> 00:37:45,959 Speaker 1: I could easily see that someone else needs to be 669 00:37:46,320 --> 00:37:47,839 Speaker 1: right right, It's easy for us to sit back here 670 00:37:47,880 --> 00:37:50,000 Speaker 1: and go like, wow, why are you doing? And then 671 00:37:50,320 --> 00:37:51,600 Speaker 1: but if you were to put me in charge of 672 00:37:51,600 --> 00:37:54,200 Speaker 1: that company, we'd be bankrupt in two days, you know. 673 00:37:55,080 --> 00:37:57,960 Speaker 1: All right? Moving on to number six, Jonathan liquid fied 674 00:37:58,000 --> 00:38:00,680 Speaker 1: all of our shares to kid cats himself off in 675 00:38:00,760 --> 00:38:04,000 Speaker 1: the back off butterfinger actually, but yes, yeah, that's that's 676 00:38:04,040 --> 00:38:05,600 Speaker 1: not a bad guest. I'm sure will be at least 677 00:38:05,600 --> 00:38:09,160 Speaker 1: a few kit kats. Oh good times, all right. Number 678 00:38:09,200 --> 00:38:12,680 Speaker 1: six is uh is the co founder of another company 679 00:38:12,760 --> 00:38:16,000 Speaker 1: or a founder of another company. Michael Dell worth a 680 00:38:16,080 --> 00:38:20,400 Speaker 1: net fifteen point three billion. Dude, He needed lots of 681 00:38:20,440 --> 00:38:24,480 Speaker 1: delves there. He's the founder and CEO of Dell Incorporated, 682 00:38:24,520 --> 00:38:26,920 Speaker 1: Dell Computers. So that was one of those companies that 683 00:38:27,080 --> 00:38:32,719 Speaker 1: made personal computers a viable business, right, this was they 684 00:38:32,760 --> 00:38:36,600 Speaker 1: founded it? Yeah, yeah, it was as while he was 685 00:38:36,640 --> 00:38:40,000 Speaker 1: attending the University of Texas at Austin, which he dropped 686 00:38:40,000 --> 00:38:44,240 Speaker 1: out of. He's another dropout, ye, and became the youngest 687 00:38:44,280 --> 00:38:47,879 Speaker 1: CEO to have his company ranked in Fortune's Top five corporations. 688 00:38:47,920 --> 00:38:50,640 Speaker 1: He was only twenty seven at the time that that happened. 689 00:38:51,239 --> 00:38:55,839 Speaker 1: Uh so, you know, again, pretty amazing and and uh 690 00:38:56,200 --> 00:39:00,279 Speaker 1: very determined. He became interested in investments when he was 691 00:39:00,360 --> 00:39:03,520 Speaker 1: still a teenager, Like he would take part time jobs, 692 00:39:03,640 --> 00:39:06,000 Speaker 1: and instead of just you know, putting the money away 693 00:39:06,120 --> 00:39:09,120 Speaker 1: or or spending it on something frivolous, he was actually 694 00:39:09,200 --> 00:39:12,919 Speaker 1: investing in things like precious metals and stocks as a team. 695 00:39:13,440 --> 00:39:16,799 Speaker 1: That's that would probably be why he's worth fifteen point 696 00:39:16,840 --> 00:39:20,600 Speaker 1: three billion and I'm worth a negative. And I also, 697 00:39:20,760 --> 00:39:23,120 Speaker 1: I also read an interesting story. I all know if 698 00:39:23,120 --> 00:39:25,080 Speaker 1: this is true or not. And I'm I'm paraphrasing because 699 00:39:25,080 --> 00:39:26,440 Speaker 1: I didn't write this down on my notes, but I 700 00:39:26,440 --> 00:39:29,480 Speaker 1: wrote a story that he had discovered, um like, he 701 00:39:29,520 --> 00:39:32,879 Speaker 1: had essentially was what amounted to a paper route where 702 00:39:32,960 --> 00:39:36,880 Speaker 1: it was really him selling newspapers, selling newspaper subscriptions. Okay, 703 00:39:37,160 --> 00:39:39,160 Speaker 1: so he's selling newspaper subscription He's really more of a 704 00:39:39,200 --> 00:39:42,680 Speaker 1: salesperson for a newspaper and he noticed a trend, and 705 00:39:42,719 --> 00:39:44,400 Speaker 1: this is something that he got really good at. It 706 00:39:44,480 --> 00:39:48,200 Speaker 1: is is UH analyzing systems and seeing how best to 707 00:39:48,239 --> 00:39:51,040 Speaker 1: work within a system or to manipulate that system, not 708 00:39:51,080 --> 00:39:54,600 Speaker 1: in a bad way, but just the most advantageous way. 709 00:39:55,160 --> 00:39:58,000 Speaker 1: He started to notice that people who were moving into 710 00:39:58,320 --> 00:40:02,480 Speaker 1: the city were more likely to subscribe to a newspaper 711 00:40:02,600 --> 00:40:05,680 Speaker 1: as part of establishing their new home, and so he 712 00:40:05,760 --> 00:40:08,799 Speaker 1: began to target people he had, like he would get 713 00:40:08,840 --> 00:40:12,160 Speaker 1: records showing where houses had just been bought, and he 714 00:40:12,160 --> 00:40:16,960 Speaker 1: would target those as his as his places to sell papers. 715 00:40:17,000 --> 00:40:18,879 Speaker 1: So he was I think in college at this time, 716 00:40:18,960 --> 00:40:20,279 Speaker 1: or maybe it was actually I think it was high 717 00:40:20,280 --> 00:40:22,920 Speaker 1: school at this time, and if I'm not mistaken, he 718 00:40:23,000 --> 00:40:26,160 Speaker 1: made something like eighteen thousand dollars doing this, which was 719 00:40:26,239 --> 00:40:31,239 Speaker 1: more than what his teacher was making. Yeah. So so 720 00:40:31,280 --> 00:40:35,040 Speaker 1: he was putting that kind of brain power to use 721 00:40:35,120 --> 00:40:36,840 Speaker 1: when he was in the university and he began to 722 00:40:36,880 --> 00:40:40,319 Speaker 1: realize that. He started to to offer to build and 723 00:40:40,360 --> 00:40:43,080 Speaker 1: sell PCs to other students and noticed that this was 724 00:40:43,120 --> 00:40:46,200 Speaker 1: a viable way of making money, and so he became 725 00:40:46,880 --> 00:40:49,520 Speaker 1: he started a company called PCs Limited that would eventually 726 00:40:49,560 --> 00:40:53,960 Speaker 1: become del incorporated. UH He married Susan Lynn Lieberman in 727 00:40:54,120 --> 00:40:56,879 Speaker 1: ninety nine and they have four children together. And they 728 00:40:56,920 --> 00:41:00,080 Speaker 1: also established the Michael and Susan Dell Foundation, which a 729 00:41:00,120 --> 00:41:04,360 Speaker 1: philanthropic organization that focuses primarily on child health and family 730 00:41:04,400 --> 00:41:07,920 Speaker 1: economic stability. They are committed to donating a hundred million 731 00:41:07,920 --> 00:41:10,279 Speaker 1: a year to that. UM. Dell meanwhile, is not doing 732 00:41:10,480 --> 00:41:13,800 Speaker 1: extraordinarily well these days there. Um uh, their stock is 733 00:41:13,840 --> 00:41:17,759 Speaker 1: done I think from as a February from last year, 734 00:41:18,120 --> 00:41:20,400 Speaker 1: and um, Michael Dell has announced that he wants to 735 00:41:20,400 --> 00:41:23,800 Speaker 1: take Dell private and is trying to strike an agreement 736 00:41:23,840 --> 00:41:26,200 Speaker 1: with the shareholders right now, who are not really excited 737 00:41:26,200 --> 00:41:28,959 Speaker 1: about the deal. Yeah. He his plan was to buy 738 00:41:29,040 --> 00:41:32,120 Speaker 1: back all those shares make it a private company again, 739 00:41:32,160 --> 00:41:35,879 Speaker 1: so essentially reversing the I p O. Yeah, for point 740 00:41:35,880 --> 00:41:39,279 Speaker 1: four billion, which the shareholders are going like, that's what. Yeah, 741 00:41:39,280 --> 00:41:42,640 Speaker 1: they're saying that's way too that's that's that's undervaluing the company, 742 00:41:42,719 --> 00:41:45,239 Speaker 1: is their argument, whereas his argument is, if we keep 743 00:41:45,239 --> 00:41:46,840 Speaker 1: going the way we're going, this company is going to 744 00:41:46,880 --> 00:41:50,279 Speaker 1: be worthless. So um, it'll be interesting to see how 745 00:41:50,320 --> 00:41:52,480 Speaker 1: that works out, because you know, it's one of those 746 00:41:52,920 --> 00:41:55,239 Speaker 1: there are times when a company goes public, where you 747 00:41:55,280 --> 00:41:57,759 Speaker 1: realize further down the road that that was that was 748 00:41:57,800 --> 00:42:00,000 Speaker 1: not a good deal, because again you have to answer 749 00:42:00,040 --> 00:42:03,279 Speaker 1: or to shareholders. Sometimes that's a great thing. Sometimes it's 750 00:42:03,280 --> 00:42:06,400 Speaker 1: exactly what a company needs to succeed. Other times, like 751 00:42:06,440 --> 00:42:08,920 Speaker 1: in this case, you can tell that maybe that was 752 00:42:09,000 --> 00:42:11,040 Speaker 1: the you know, maybe it was the right decision at 753 00:42:11,040 --> 00:42:13,280 Speaker 1: the time, but it's no longer. Yeah, yeah, it's it's 754 00:42:13,120 --> 00:42:16,000 Speaker 1: at this point, you know, it's it's computer industry needs 755 00:42:16,040 --> 00:42:18,880 Speaker 1: to be nimble, and dealing with shareholders is never really 756 00:42:18,920 --> 00:42:21,759 Speaker 1: a nimble. It's pretty hard to reverse that decision once 757 00:42:21,760 --> 00:42:25,120 Speaker 1: it happens, too, But we'll see if that pans out. Well, 758 00:42:25,520 --> 00:42:28,080 Speaker 1: we're about to go into our top five. Before we do, 759 00:42:28,280 --> 00:42:30,879 Speaker 1: I'd like to take a quick moment to thank our 760 00:42:30,960 --> 00:42:41,960 Speaker 1: other sponsor. So we're getting into the top five here, 761 00:42:42,400 --> 00:42:49,640 Speaker 1: Number five is another person from Schmoogle Google. We can 762 00:42:49,680 --> 00:42:52,680 Speaker 1: say the name now, it's not I kind of I 763 00:42:52,719 --> 00:42:54,919 Speaker 1: kind of can't can't help myself at this point, we're 764 00:42:54,920 --> 00:42:57,040 Speaker 1: talking about Sarah A. Brenn, who was one of the 765 00:42:57,080 --> 00:42:59,480 Speaker 1: co founders of Google. Yes, he is worth a net 766 00:42:59,520 --> 00:43:02,520 Speaker 1: twenty two point eight billion and he's the director of 767 00:43:02,560 --> 00:43:05,920 Speaker 1: Special Projects at Google, which means that he so oversees 768 00:43:06,040 --> 00:43:09,800 Speaker 1: the super awesome, cool ridiculous stuff like the autonomous cars, 769 00:43:09,840 --> 00:43:13,080 Speaker 1: Google glass, yeah, things, things like that kind of stuff 770 00:43:13,120 --> 00:43:16,279 Speaker 1: where you know, we've heard rumor that Google might have 771 00:43:16,800 --> 00:43:19,040 Speaker 1: a smart watch in the works that could have an 772 00:43:19,040 --> 00:43:24,120 Speaker 1: augmented reality application included in this. UM I I would 773 00:43:24,120 --> 00:43:27,520 Speaker 1: imagine that falls under his jurisdiction and as a special project. 774 00:43:28,000 --> 00:43:30,360 Speaker 1: So it's pretty clear that Sarah a Brand wants to 775 00:43:30,400 --> 00:43:34,000 Speaker 1: become a cyborg and rule us all. Uh. He he's 776 00:43:34,040 --> 00:43:37,600 Speaker 1: a smart, smart guy. His parents were both from Moscow 777 00:43:38,280 --> 00:43:40,839 Speaker 1: and right then they moved the family to America when 778 00:43:40,880 --> 00:43:43,279 Speaker 1: he was six, yes, six years old. His father was 779 00:43:43,360 --> 00:43:46,680 Speaker 1: a mathematics professor at the University of Moscow and his 780 00:43:46,800 --> 00:43:52,200 Speaker 1: mother ended up being a researcher for NASA. Sorry, sorry 781 00:43:52,320 --> 00:43:54,319 Speaker 1: I cut off here. You know, it's just gonna be 782 00:43:54,400 --> 00:43:58,080 Speaker 1: it's gonna be smart. But you d smartified me. That's fine. 783 00:43:58,719 --> 00:44:01,439 Speaker 1: The listeners wish they could do it all the time. Yeah, 784 00:44:01,480 --> 00:44:05,560 Speaker 1: But so the point being that his parents wicked smart, 785 00:44:05,680 --> 00:44:11,399 Speaker 1: like you know, already, mathematicians, researchers, really smart people. Um 786 00:44:11,440 --> 00:44:13,440 Speaker 1: some of the people on this list we've talked about 787 00:44:13,520 --> 00:44:16,399 Speaker 1: our folks who you know, they came from maybe not 788 00:44:16,840 --> 00:44:19,359 Speaker 1: you know, humble beginnings, but not there the parents were 789 00:44:19,400 --> 00:44:22,759 Speaker 1: not necessarily normal people more or lest. Yeah, yeah, I'm 790 00:44:22,760 --> 00:44:24,080 Speaker 1: not gonna. I'm not gonna. I mean, you know, I 791 00:44:24,200 --> 00:44:26,760 Speaker 1: personally don't have any parents who have worked for NASSA, 792 00:44:26,880 --> 00:44:28,520 Speaker 1: so I'm a little bit impressed when I hear about 793 00:44:28,520 --> 00:44:30,520 Speaker 1: that kind of thing. Neither of my parents have worked 794 00:44:30,560 --> 00:44:33,959 Speaker 1: for NASA either. Um. But yeah. When he was six, 795 00:44:34,040 --> 00:44:37,520 Speaker 1: the family immigrated to the United States. He received degrees 796 00:44:37,560 --> 00:44:40,120 Speaker 1: in mathematics and computer science at the University of Maryland, 797 00:44:40,160 --> 00:44:42,480 Speaker 1: and then he went to go do some graduate study 798 00:44:43,280 --> 00:44:46,319 Speaker 1: research over at the at Stanford University. He wanted to 799 00:44:46,360 --> 00:44:50,719 Speaker 1: eventually get a PhD Uh. He's still working towards that. 800 00:44:51,200 --> 00:44:55,960 Speaker 1: His studies are on indefinite hold right now, so technically 801 00:44:56,040 --> 00:44:59,080 Speaker 1: he hasn't dropped out of grad school right in Stanford. 802 00:44:59,080 --> 00:45:01,600 Speaker 1: Doesn't really want to go get in the boot, I 803 00:45:01,640 --> 00:45:03,719 Speaker 1: don't think. Yeah, but I mean it all depends. Like 804 00:45:03,760 --> 00:45:06,439 Speaker 1: the Stanford's already got that that record of other people 805 00:45:06,480 --> 00:45:08,400 Speaker 1: who said, can I get a deferment and they said no, 806 00:45:08,520 --> 00:45:10,839 Speaker 1: And that's fine. I'm going to become a billionaire. That's 807 00:45:10,840 --> 00:45:13,319 Speaker 1: happened a few times. But uh, but so he and 808 00:45:13,440 --> 00:45:15,719 Speaker 1: when I had became a billionaire. But maybe maybe one 809 00:45:15,800 --> 00:45:18,600 Speaker 1: day he'll end up finishing that work and earning his PhD. 810 00:45:18,960 --> 00:45:21,279 Speaker 1: He he's only thirty nine, so he's got a minute. Yeah, 811 00:45:21,320 --> 00:45:24,400 Speaker 1: he's got a little while. He also, while at Stanford, 812 00:45:24,480 --> 00:45:28,120 Speaker 1: met the other co founder of Google, Larry Page, and 813 00:45:28,160 --> 00:45:32,280 Speaker 1: not that first meeting. Supposedly, Paige and Bren were both, um, 814 00:45:32,360 --> 00:45:35,960 Speaker 1: let's call them smart Alex. Okay, so they're both smart Alex. 815 00:45:36,000 --> 00:45:39,160 Speaker 1: They're both a little snarky, and apparently that snarky and 816 00:45:39,200 --> 00:45:42,520 Speaker 1: snarky when they first met, kind of sparks flew like 817 00:45:43,120 --> 00:45:46,680 Speaker 1: things were not but it wasn't necessarily a friendly kind 818 00:45:46,719 --> 00:45:50,280 Speaker 1: of snark. Yes, supposedly they did not totally get along 819 00:45:50,320 --> 00:45:53,319 Speaker 1: upon first meeting, but they ended up spending a lot 820 00:45:53,320 --> 00:45:55,120 Speaker 1: of time together because they were working on the same 821 00:45:55,120 --> 00:45:58,840 Speaker 1: research project called back rub, which was this project to 822 00:45:59,000 --> 00:46:01,440 Speaker 1: help index the up They were talking about how a 823 00:46:01,600 --> 00:46:04,240 Speaker 1: link on a web page is kind of like a site, 824 00:46:04,880 --> 00:46:09,600 Speaker 1: like a c i T. E. Site, not sitation excitation exactly, 825 00:46:09,640 --> 00:46:11,640 Speaker 1: and that if you were to index all of these 826 00:46:11,680 --> 00:46:14,759 Speaker 1: you could easily navigate around the web, so that was 827 00:46:14,800 --> 00:46:17,920 Speaker 1: the basis of BackRub, which eventually became Google. And and 828 00:46:18,000 --> 00:46:20,160 Speaker 1: this had been pages idea at first, I believe, and 829 00:46:20,239 --> 00:46:23,440 Speaker 1: he kind of needed somebody with with a stronger computer 830 00:46:23,719 --> 00:46:27,400 Speaker 1: background and mathematical skill. Yes, so Brent came on. Brent 831 00:46:27,520 --> 00:46:30,160 Speaker 1: had already been at Stanford for a while, and in fact, 832 00:46:30,440 --> 00:46:34,360 Speaker 1: originally Brent had shown Page around for the graduate program. 833 00:46:34,640 --> 00:46:36,719 Speaker 1: That's time when they first met, and then he ended 834 00:46:36,760 --> 00:46:39,640 Speaker 1: up working on pages project. And as they worked together 835 00:46:39,680 --> 00:46:42,400 Speaker 1: they became they became buddy buddy. They got past that 836 00:46:42,520 --> 00:46:45,640 Speaker 1: initial he's kind of a jerk. That guy's kind of 837 00:46:45,680 --> 00:46:49,120 Speaker 1: a jerk. Uh. And in two thousand seven, Sarah Gey 838 00:46:49,160 --> 00:46:54,000 Speaker 1: Brenn married Anne wagis Ki. Together they have two kids 839 00:46:54,560 --> 00:46:57,759 Speaker 1: and um. And he's also done a lot of philanthropthropic 840 00:46:57,840 --> 00:47:01,480 Speaker 1: work himself directly actually for Google dot org, which is 841 00:47:01,520 --> 00:47:06,560 Speaker 1: the philanthropic arm of Google. And it's a division that 842 00:47:06,600 --> 00:47:10,120 Speaker 1: looks at lots of different problems, including ways of creating 843 00:47:10,160 --> 00:47:15,400 Speaker 1: clean energy, reducing environmental impact in general, battling climate change. 844 00:47:15,760 --> 00:47:19,680 Speaker 1: So he's dedicated a lot of his his time and 845 00:47:19,800 --> 00:47:24,040 Speaker 1: efforts towards these sort of projects too. It's pretty heavy stuff, right, 846 00:47:25,840 --> 00:47:29,680 Speaker 1: which then leads us nicely into number four, which is 847 00:47:29,920 --> 00:47:33,560 Speaker 1: Larry bag Change. So the other half of the Google 848 00:47:33,680 --> 00:47:38,680 Speaker 1: co founder duo's He's worth a net twin ye, so 849 00:47:38,760 --> 00:47:42,480 Speaker 1: point two billion more than h than Sarage. So I'm 850 00:47:42,480 --> 00:47:45,600 Speaker 1: sure they lord it over each other whenever they're fortunate, 851 00:47:46,960 --> 00:47:49,040 Speaker 1: they go to when they go to the Billionaire Club 852 00:47:49,080 --> 00:47:56,360 Speaker 1: and they play play monopoly with real cities. Uh. I 853 00:47:56,400 --> 00:47:58,000 Speaker 1: was gonna make a joke, but I'm gonna stop on 854 00:47:58,040 --> 00:48:02,200 Speaker 1: that one. So anyway, Uh, he's actually been the acting 855 00:48:02,520 --> 00:48:05,560 Speaker 1: He's been the CEO for Google since April eleven, so 856 00:48:06,200 --> 00:48:09,040 Speaker 1: Eric Schmidt, of course was the former CEO. When Schmidt 857 00:48:09,160 --> 00:48:11,719 Speaker 1: stepped down, they were talking about who was going to 858 00:48:11,800 --> 00:48:13,680 Speaker 1: be the next CEO. Was there going to be an 859 00:48:13,680 --> 00:48:17,319 Speaker 1: interim CEO? Would they pick someone from outside the company, 860 00:48:17,360 --> 00:48:21,080 Speaker 1: But Larry Page ended up taking that role. And uh, 861 00:48:21,280 --> 00:48:24,760 Speaker 1: he's originally from Michigan. His parents were both computer science 862 00:48:24,760 --> 00:48:28,200 Speaker 1: professors at Michigan State University, so again Larry Page grew 863 00:48:28,280 --> 00:48:31,319 Speaker 1: up in a household that was already familiar with and 864 00:48:31,480 --> 00:48:36,759 Speaker 1: interested in the computers, so he picked right up on that. Uh. 865 00:48:36,840 --> 00:48:39,000 Speaker 1: He attended the University of Michigan and earned a degree 866 00:48:39,040 --> 00:48:41,680 Speaker 1: in computer engineering and then he went to Stanford and 867 00:48:41,719 --> 00:48:44,719 Speaker 1: earned a master's degree in computer science. That's, of course 868 00:48:44,880 --> 00:48:47,520 Speaker 1: we just mentioned where he met Sarah gay Brinn and 869 00:48:47,560 --> 00:48:51,680 Speaker 1: they started working on the BackRub project. UM. He's also 870 00:48:51,760 --> 00:48:54,040 Speaker 1: an investor in a company that we talked about in 871 00:48:54,080 --> 00:48:58,080 Speaker 1: a recent episode of Tech Stuff, Tesla Teslamotors. Ye have 872 00:48:58,160 --> 00:49:02,879 Speaker 1: Tesla Motors. Um I found both him and Aswer I think, okay, 873 00:49:02,880 --> 00:49:05,840 Speaker 1: I believe I knew that page was um and he 874 00:49:05,960 --> 00:49:09,680 Speaker 1: married Lucinda Southworth in two thousand seven and they have 875 00:49:09,760 --> 00:49:13,200 Speaker 1: one child together. And um Google is doing incredibly well. 876 00:49:13,239 --> 00:49:20,160 Speaker 1: There's Stacros, which earned page four billion personally, So don't 877 00:49:20,400 --> 00:49:22,879 Speaker 1: don't knock you right up the list pretty quickly. Yeah, 878 00:49:22,960 --> 00:49:25,319 Speaker 1: he's He's also in the in the top twenty of 879 00:49:25,800 --> 00:49:30,520 Speaker 1: Forbes businesses overall. UM billionaire, right, because this is this 880 00:49:30,560 --> 00:49:33,280 Speaker 1: is specifically the list we're doing is just the tech folks. 881 00:49:33,280 --> 00:49:36,480 Speaker 1: But obviously there are people who work in their businesses 882 00:49:36,520 --> 00:49:39,520 Speaker 1: other than technology. I've found one or two. I guess 883 00:49:39,760 --> 00:49:42,319 Speaker 1: I was unaware of this until I just happened to 884 00:49:42,320 --> 00:49:44,680 Speaker 1: read the wrong link on a while I was researching, 885 00:49:45,200 --> 00:49:48,800 Speaker 1: and uh, and my heart shrunk three sizes that day. 886 00:49:49,960 --> 00:49:55,120 Speaker 1: Sad story Number three. Moving on Jeff Bezos, worth a 887 00:49:55,239 --> 00:49:58,319 Speaker 1: net five point two billion, and he of course is 888 00:49:58,360 --> 00:50:01,040 Speaker 1: the founder of Amazon. Yeah, and we've talked about Bezos 889 00:50:01,120 --> 00:50:03,520 Speaker 1: quite a bit when we did our our Amazon two 890 00:50:03,640 --> 00:50:06,799 Speaker 1: part two part. Keep talking about doing the third part, 891 00:50:06,880 --> 00:50:08,799 Speaker 1: but we keep putting it off because we're we think 892 00:50:09,920 --> 00:50:12,880 Speaker 1: after covering Amazon so thoroughly that we didn't want to 893 00:50:14,239 --> 00:50:16,600 Speaker 1: you don't want to turn tech stuff into the Amazon podcast. 894 00:50:17,680 --> 00:50:19,279 Speaker 1: But we have to do it for a little while 895 00:50:19,560 --> 00:50:23,320 Speaker 1: because he's number three on the list. Um, so he 896 00:50:23,760 --> 00:50:28,200 Speaker 1: you know, he his mom ended up, uh, you know, 897 00:50:28,320 --> 00:50:32,120 Speaker 1: he remarried, divorcing his father and then remarrying. Uh, and 898 00:50:33,120 --> 00:50:37,920 Speaker 1: she married Mike Bezos, and uh, Jeff decided he essentially 899 00:50:37,960 --> 00:50:42,200 Speaker 1: took his last name from his adoptive father. Um, he's 900 00:50:42,320 --> 00:50:44,560 Speaker 1: very very close with him. He considers him his real dad. 901 00:50:44,920 --> 00:50:47,799 Speaker 1: That's his real dad, because he was there to raise him. 902 00:50:48,239 --> 00:50:53,800 Speaker 1: And so he his maternal grandfather worked for DARPA on 903 00:50:54,000 --> 00:50:57,880 Speaker 1: space technology and missile defense technology, and he was a 904 00:50:58,080 --> 00:51:02,799 Speaker 1: very instrumental figure in early life. On a calm, Jeff, Jeff, Well, 905 00:51:03,120 --> 00:51:05,839 Speaker 1: you guys are so I'm so tight. Yeah, I've ordered 906 00:51:05,920 --> 00:51:08,319 Speaker 1: three day It's Jeff this and Jeff that I ordered 907 00:51:08,360 --> 00:51:10,640 Speaker 1: so many things from his site, you would think he 908 00:51:10,640 --> 00:51:12,200 Speaker 1: would know me by name. At this point, he at 909 00:51:12,280 --> 00:51:15,840 Speaker 1: least knows my address. So he graduated with a degree 910 00:51:16,000 --> 00:51:20,399 Speaker 1: in electrical engineering and computer science from Princeton. He met 911 00:51:20,520 --> 00:51:23,480 Speaker 1: his wife, mckensey Bezos while they were both working at 912 00:51:23,480 --> 00:51:26,600 Speaker 1: a hedge fund company called D. E. Shaw. And while 913 00:51:26,640 --> 00:51:29,600 Speaker 1: he was working there, he was working on some database 914 00:51:29,680 --> 00:51:32,560 Speaker 1: projects and that's when he got the idea of you 915 00:51:32,680 --> 00:51:36,280 Speaker 1: could create a website that could become an online retail 916 00:51:36,320 --> 00:51:39,480 Speaker 1: space for books, which is exactly what Amazon dot Com 917 00:51:39,719 --> 00:51:42,960 Speaker 1: was originally. When it first started, it was just about 918 00:51:43,040 --> 00:51:47,680 Speaker 1: the books books only. Yeah, they shipped their first one um, 919 00:51:47,840 --> 00:51:49,880 Speaker 1: but had expanded so much that they went public in 920 00:51:50,880 --> 00:51:52,800 Speaker 1: h didn't take long at all. So again, this is 921 00:51:53,160 --> 00:51:55,600 Speaker 1: one of those companies that existed before the dot com 922 00:51:55,880 --> 00:51:58,800 Speaker 1: bubble burst and uh and really quite well through it. 923 00:51:58,800 --> 00:52:00,759 Speaker 1: They didn't they didn't make a profit for a long time. No, 924 00:52:00,960 --> 00:52:04,359 Speaker 1: they weren't. Their revenues were not profitable, but they were 925 00:52:04,719 --> 00:52:08,400 Speaker 1: growing quite a bit. And and the reason that they 926 00:52:08,440 --> 00:52:11,080 Speaker 1: weren't profitable was was not because they were not doing well, 927 00:52:11,120 --> 00:52:13,320 Speaker 1: but because they kept you know, they were growing so 928 00:52:13,480 --> 00:52:16,080 Speaker 1: quickly and expanding so quickly into so many new distribution 929 00:52:16,120 --> 00:52:19,160 Speaker 1: centers and so many new areas. The costs were higher 930 00:52:19,280 --> 00:52:21,480 Speaker 1: than what they were bringing in, but they were Their 931 00:52:22,000 --> 00:52:25,399 Speaker 1: revenues were increasing year over year, so there was lots 932 00:52:25,440 --> 00:52:29,320 Speaker 1: of growth. There just wasn't a lot of of actual 933 00:52:29,480 --> 00:52:32,759 Speaker 1: profit for the first few years. But it did start 934 00:52:32,840 --> 00:52:35,440 Speaker 1: to turn profit and then didn't stop. Yeah, yeah, it's 935 00:52:35,440 --> 00:52:39,080 Speaker 1: not a problem anymore. They their stock last year, earning 936 00:52:39,280 --> 00:52:43,560 Speaker 1: Bezos personally six yea, and he was in He was 937 00:52:43,680 --> 00:52:46,480 Speaker 1: named Time Magazines Person of the Year because that the 938 00:52:46,560 --> 00:52:49,480 Speaker 1: Amazon had become so influential even back then in ninety 939 00:52:49,600 --> 00:52:53,440 Speaker 1: nine before again the dot com bubble went Carr pluey. 940 00:52:53,960 --> 00:52:57,160 Speaker 1: So yeah, he's done quite well for himself. He's number 941 00:52:57,160 --> 00:52:59,200 Speaker 1: three on the list, which leads us to number two. 942 00:53:00,120 --> 00:53:04,080 Speaker 1: Mr Larry Ellison, one of the more controversial figures from 943 00:53:04,200 --> 00:53:11,200 Speaker 1: technology where worth worth the net billion controversy or now 944 00:53:11,440 --> 00:53:14,319 Speaker 1: he is. He is America's third richest man. In fact, Yeah, 945 00:53:14,360 --> 00:53:16,319 Speaker 1: it's kind of interesting. We went from twenty five point 946 00:53:16,360 --> 00:53:21,160 Speaker 1: two billion with Bezos to forty three billion with Larry Ellison. 947 00:53:21,200 --> 00:53:25,799 Speaker 1: He of course, is a co founder of the Oracle Corporation. 948 00:53:26,480 --> 00:53:30,480 Speaker 1: UM and uh, he's. He's made quite a name for 949 00:53:30,600 --> 00:53:34,520 Speaker 1: himself for multiple reasons. One is that again he's the 950 00:53:35,120 --> 00:53:40,040 Speaker 1: guy who sets his yacht against the fellow we mentioned 951 00:53:40,160 --> 00:53:42,920 Speaker 1: earlier in the podcast Great Right. He's he's also removed 952 00:53:42,920 --> 00:53:45,640 Speaker 1: to be exploring a deal to purchase the Sacramento Kings 953 00:53:45,680 --> 00:53:48,879 Speaker 1: to prevent them from being moved to Seattle, so he's 954 00:53:49,000 --> 00:53:51,800 Speaker 1: in direct conflict with two of the people on our list. 955 00:53:52,719 --> 00:53:57,239 Speaker 1: He also he's he's bought some pretty famous places, like 956 00:53:57,960 --> 00:54:03,080 Speaker 1: an island of Hawaii, Lennai, of one of the Hawaiian islands. 957 00:54:03,080 --> 00:54:05,480 Speaker 1: It's a hundred and forty one square mile island. He 958 00:54:05,600 --> 00:54:08,480 Speaker 1: owns pretty much all of it, including two resorts that 959 00:54:08,520 --> 00:54:13,360 Speaker 1: are on the island. Um, you know, he just dropped 960 00:54:13,400 --> 00:54:15,520 Speaker 1: five hundred million on It's not not a big deal. 961 00:54:15,640 --> 00:54:19,200 Speaker 1: Half a billion dollars buying Hawaiian island. He also owns 962 00:54:19,280 --> 00:54:23,319 Speaker 1: a one million dollar home in Woodside, California. He owned 963 00:54:23,320 --> 00:54:26,600 Speaker 1: several properties in Malibu. Apparently one of those properties in 964 00:54:26,640 --> 00:54:30,360 Speaker 1: Malibu has a one million dollar entertainment system that uses 965 00:54:30,400 --> 00:54:34,600 Speaker 1: an empty swimming pool as a sub bliffer. That is 966 00:54:34,680 --> 00:54:37,520 Speaker 1: the best thing I've ever heard. So if Az you're 967 00:54:37,560 --> 00:54:40,759 Speaker 1: in Malibu and you think there's an earthquake, make sure 968 00:54:40,840 --> 00:54:43,960 Speaker 1: that Ellison's not having a house Parker starting. Yeah. Yeah. 969 00:54:44,000 --> 00:54:46,360 Speaker 1: If he's dropping some mad beats, that might be what 970 00:54:46,520 --> 00:54:51,680 Speaker 1: you're feeling instead. He's another college dropout, not from both 971 00:54:51,760 --> 00:54:54,640 Speaker 1: in the University of Chicago and the University of Illinois 972 00:54:54,680 --> 00:54:57,840 Speaker 1: at Urbana Champagne. Yeah yeah he um. He believes in 973 00:54:57,960 --> 00:55:03,560 Speaker 1: doing it wholeheartedly in multip full universities. UM. His adoptive 974 00:55:03,600 --> 00:55:07,879 Speaker 1: father actually assumed the name Ellison to commemorate the fact 975 00:55:07,960 --> 00:55:10,920 Speaker 1: that he came to America and passed through Ellis Island. 976 00:55:11,640 --> 00:55:16,160 Speaker 1: So Ellison Ellison is from that. UM. He worked at 977 00:55:16,160 --> 00:55:19,200 Speaker 1: a few companies in California when he was in his twenties, 978 00:55:19,680 --> 00:55:23,680 Speaker 1: and he designed a database for a little organization called 979 00:55:23,719 --> 00:55:27,040 Speaker 1: the c I A UH, and that database was called Oracle, 980 00:55:27,480 --> 00:55:30,200 Speaker 1: and that's when he got the idea to found a 981 00:55:30,400 --> 00:55:35,759 Speaker 1: software company. It was originally called software Development Laboratories, not laboratories, um, 982 00:55:36,080 --> 00:55:38,520 Speaker 1: which is how I usually say it, and that's what 983 00:55:38,719 --> 00:55:43,719 Speaker 1: eventually became Oracle. UH. This is again enterprise software. So 984 00:55:44,320 --> 00:55:46,960 Speaker 1: the Oracles one of those names that I think like Oracle, 985 00:55:47,120 --> 00:55:49,719 Speaker 1: Sun Microsystems like these are these are big names that 986 00:55:49,760 --> 00:55:53,000 Speaker 1: people are familiar with, even IBM to some extent, they're 987 00:55:53,000 --> 00:55:55,400 Speaker 1: familiar with, but they haven't necessarily used it in a 988 00:55:55,520 --> 00:55:58,640 Speaker 1: personal person unless they work for a company that has 989 00:55:58,680 --> 00:56:02,359 Speaker 1: these systems and they're in charge of him anyway. Um. 990 00:56:02,560 --> 00:56:05,600 Speaker 1: I believe he's been married and divorced four times, so 991 00:56:05,920 --> 00:56:10,120 Speaker 1: he's had some issues in his personal life. Um. He's 992 00:56:10,120 --> 00:56:15,000 Speaker 1: also known as being a very outspoken and blunt person. Yes, yeah, 993 00:56:15,360 --> 00:56:17,960 Speaker 1: I've I've heard that once or twice. He has signed 994 00:56:18,040 --> 00:56:22,920 Speaker 1: on to the to that Warren Beffett and our number 995 00:56:22,960 --> 00:56:29,840 Speaker 1: one number one is yet that's it's amazing. Yes, he's 996 00:56:30,000 --> 00:56:36,200 Speaker 1: thus far donated um million, mostly by Oracle Stock. Right. So, yeah, 997 00:56:36,280 --> 00:56:38,360 Speaker 1: so he's another one of the members of this this 998 00:56:38,560 --> 00:56:41,600 Speaker 1: elite club of billionaires who have signed the giving Pledge 999 00:56:41,680 --> 00:56:43,879 Speaker 1: to to really try and make the world a better place. 1000 00:56:44,080 --> 00:56:46,799 Speaker 1: I can't criticize that at all. That's a phenomenal thing. 1001 00:56:46,880 --> 00:56:48,880 Speaker 1: I mean, that's why I would like to think that 1002 00:56:49,000 --> 00:56:50,799 Speaker 1: if I were a billionaire, I would do the same thing. 1003 00:56:50,880 --> 00:56:52,440 Speaker 1: But of course I'm not in that position, so it's 1004 00:56:52,480 --> 00:56:54,279 Speaker 1: really easy for me to say it. Right now, I'm 1005 00:56:54,440 --> 00:56:56,880 Speaker 1: pretty sure that you would be a mad scientist and 1006 00:56:57,120 --> 00:57:00,160 Speaker 1: would be really busy doing mad, So you gotta at 1007 00:57:00,239 --> 00:57:04,080 Speaker 1: least be a frustrated scientist if not outright mad. But 1008 00:57:04,200 --> 00:57:06,200 Speaker 1: you can still you can, you can still participate in 1009 00:57:07,000 --> 00:57:09,560 Speaker 1: have you sharity? Have you watched? If you watched the 1010 00:57:09,600 --> 00:57:14,520 Speaker 1: forward thinking episode about our cities growing, you'll see me 1011 00:57:14,760 --> 00:57:18,200 Speaker 1: deliver one of my megalomaniacal monologues. And I guess man 1012 00:57:18,280 --> 00:57:20,920 Speaker 1: scientists is pretty accurate, you know, based on that. So 1013 00:57:21,560 --> 00:57:24,040 Speaker 1: that's fair, all right. So that takes us up to 1014 00:57:24,200 --> 00:57:26,720 Speaker 1: number one. And number one, of course is the the 1015 00:57:26,880 --> 00:57:29,480 Speaker 1: other person along with Warren Buffett, who said let's do 1016 00:57:29,640 --> 00:57:33,520 Speaker 1: this pledge, and that is of course Bill Gates, Yes, 1017 00:57:33,880 --> 00:57:40,080 Speaker 1: um net sixties seven billion, yes, seven billion dollars, has 1018 00:57:40,160 --> 00:57:44,360 Speaker 1: a huge amount of money um and he he only 1019 00:57:44,440 --> 00:57:48,080 Speaker 1: retains about five percent ownership of Microsoft, so most most 1020 00:57:48,080 --> 00:57:50,760 Speaker 1: of that wealth comes from investments that are in other 1021 00:57:51,320 --> 00:57:54,400 Speaker 1: industries and things in bonds and stocks. He's invested in 1022 00:57:54,480 --> 00:57:58,880 Speaker 1: other companies, He's founded other companies. UH. He was the 1023 00:57:59,040 --> 00:58:01,520 Speaker 1: CEO of mike or Soft for many years. He stepped 1024 00:58:01,560 --> 00:58:03,920 Speaker 1: down in two thousand. Of course, Bomber became the CEO 1025 00:58:04,040 --> 00:58:06,680 Speaker 1: at that time. UM he stayed on as the chairman 1026 00:58:06,720 --> 00:58:09,560 Speaker 1: and chief Software Architect for a few more years. Uh. 1027 00:58:09,680 --> 00:58:12,440 Speaker 1: A transition from full time to part time at Microsoft 1028 00:58:12,560 --> 00:58:15,560 Speaker 1: in two thousand six, and retired in two thousand eight. 1029 00:58:15,640 --> 00:58:18,400 Speaker 1: And I actually remember when you retired because I went 1030 00:58:18,520 --> 00:58:20,520 Speaker 1: to c E S when they were talking about the 1031 00:58:20,600 --> 00:58:22,280 Speaker 1: fact that Gates was going to retire. It was his 1032 00:58:22,440 --> 00:58:27,200 Speaker 1: final keynote at c E S UM, and so they 1033 00:58:27,440 --> 00:58:31,720 Speaker 1: presented this very cute video package that showed a typical 1034 00:58:31,880 --> 00:58:36,160 Speaker 1: day of Gates. Yeah, and it was absolutely ridiculous. It 1035 00:58:36,240 --> 00:58:38,280 Speaker 1: was very clear that Bill Gates has a very healthy 1036 00:58:38,360 --> 00:58:41,960 Speaker 1: sense of humor about himself. He seems to enjoy poking 1037 00:58:42,120 --> 00:58:45,960 Speaker 1: fun at his own reputation. Uh and um. And that's 1038 00:58:45,960 --> 00:58:50,160 Speaker 1: also clear. If you guys know where the phrase conquistadors 1039 00:58:50,520 --> 00:58:54,080 Speaker 1: they run tight, then you know he's a goofy guy. 1040 00:58:54,240 --> 00:58:57,000 Speaker 1: If you don't know about that, go to YouTube again. 1041 00:58:58,120 --> 00:59:01,120 Speaker 1: After you've watched Steve Bomber screen about developers for a 1042 00:59:01,160 --> 00:59:06,760 Speaker 1: good thirty seconds, go and type in Jerry Seinfeld Bill Gates. Uh. 1043 00:59:06,840 --> 00:59:09,640 Speaker 1: There was a commercial that ran several years ago that 1044 00:59:09,800 --> 00:59:12,440 Speaker 1: was really just to promote Microsoft. It wasn't any particular 1045 00:59:12,560 --> 00:59:15,760 Speaker 1: Microsoft product, just a Microsoft men and a half long 1046 00:59:16,560 --> 00:59:19,320 Speaker 1: and it was mostly about Jerry Seinfeld walking through the 1047 00:59:19,360 --> 00:59:22,080 Speaker 1: mall and seeing Bill Gates getting fitted for new shoes 1048 00:59:22,360 --> 00:59:27,160 Speaker 1: and then having a bizarre, absurd conversation with him. I 1049 00:59:27,240 --> 00:59:30,280 Speaker 1: have somehow completely missed this. It was it only aired 1050 00:59:30,320 --> 00:59:31,840 Speaker 1: a few times. But one of the things they talked 1051 00:59:31,840 --> 00:59:34,360 Speaker 1: about the type of shoes. They talked about our conquistadors 1052 00:59:34,360 --> 00:59:37,760 Speaker 1: and they run tight, as you find out in the 1053 00:59:38,040 --> 00:59:40,120 Speaker 1: in the commercial. Chris and I would quote that all 1054 00:59:40,160 --> 00:59:42,600 Speaker 1: the time because we both really appreciated how goofy that 1055 00:59:42,680 --> 00:59:47,680 Speaker 1: commercial was. He was also once arrested in nineteen seventy 1056 00:59:47,720 --> 00:59:51,800 Speaker 1: seven d traffic violation. So it is nineteen seven. Mug 1057 00:59:51,880 --> 00:59:54,480 Speaker 1: shot is on the internet and it is the goofiest 1058 00:59:54,520 --> 00:59:56,680 Speaker 1: looking thing you've ever seen. By the way, that mug 1059 00:59:56,760 --> 01:00:00,959 Speaker 1: shot also appears in that contest door commercial herschell yeah. 1060 01:00:02,240 --> 01:00:05,760 Speaker 1: Uh yeah. And like Jonathan said, he's only retained five 1061 01:00:05,800 --> 01:00:08,200 Speaker 1: percent of ownership and Microsoft, So most of the money 1062 01:00:08,240 --> 01:00:10,640 Speaker 1: that he is making right now, and which is he's 1063 01:00:10,680 --> 01:00:15,320 Speaker 1: he made six billion in has been from investment in uh, 1064 01:00:15,520 --> 01:00:18,320 Speaker 1: you know, other stocks and bonds and etcetera. He uh, 1065 01:00:18,560 --> 01:00:20,840 Speaker 1: when he went to college at Harvard and he of 1066 01:00:20,920 --> 01:00:25,080 Speaker 1: course dropped out uh and went to work with Paul 1067 01:00:25,120 --> 01:00:27,600 Speaker 1: Allen at Honeywell first, and then the two of them. 1068 01:00:27,640 --> 01:00:29,680 Speaker 1: Actually he was still going to Harvard when he went 1069 01:00:29,760 --> 01:00:32,640 Speaker 1: to work for Honeywell. He dropped out of Harvard when 1070 01:00:32,800 --> 01:00:35,360 Speaker 1: Paul Allen said, Hey, we should get together and make 1071 01:00:35,400 --> 01:00:39,320 Speaker 1: a company. And so Allen, essentially, according to what I read, 1072 01:00:39,680 --> 01:00:44,000 Speaker 1: convinced Bill Gates to drop out and to co found Microsoft. 1073 01:00:44,160 --> 01:00:46,760 Speaker 1: So if he had not dropped out, we might not 1074 01:00:46,880 --> 01:00:49,080 Speaker 1: have ever had a Microsoft, and the world would be 1075 01:00:49,120 --> 01:00:53,520 Speaker 1: a very different So he and Allen co founded this company. 1076 01:00:53,560 --> 01:00:57,280 Speaker 1: Of course, it went on to amazing success, and he 1077 01:00:57,400 --> 01:01:00,600 Speaker 1: went on to great success both at company and a 1078 01:01:00,720 --> 01:01:04,440 Speaker 1: part of from it. So he and his wife, Melinda 1079 01:01:04,520 --> 01:01:08,800 Speaker 1: Gates uh founded the the Bill and Melinda Gates Foundation, 1080 01:01:09,200 --> 01:01:13,480 Speaker 1: which has done an incredible amount of philanthropic work, a 1081 01:01:13,600 --> 01:01:16,920 Speaker 1: lot in developing nations, really all concentrating on things like 1082 01:01:17,400 --> 01:01:22,800 Speaker 1: access to clean water, healthcare, education forms Forbes lists and 1083 01:01:23,000 --> 01:01:26,760 Speaker 1: is the world's most generous person. It's it's pretty phenomenal, 1084 01:01:26,840 --> 01:01:29,920 Speaker 1: and of course he's still making boatloads of money. I 1085 01:01:30,040 --> 01:01:33,919 Speaker 1: know that this foundation has received criticism because the way 1086 01:01:34,080 --> 01:01:37,440 Speaker 1: that the foundation ends up funding the various projects it 1087 01:01:37,520 --> 01:01:40,840 Speaker 1: works on is through investments, just like we've spoken about earlier, 1088 01:01:41,240 --> 01:01:44,120 Speaker 1: and sometimes some people have said that there are times 1089 01:01:44,200 --> 01:01:47,600 Speaker 1: where the foundation has invested in companies that are causing 1090 01:01:47,720 --> 01:01:50,360 Speaker 1: some of the very problems that the foundation is trying 1091 01:01:50,440 --> 01:01:57,000 Speaker 1: to So things like companies that through their operation contribute 1092 01:01:57,040 --> 01:02:02,080 Speaker 1: to pollution and air quality, things like that, and if 1093 01:02:02,160 --> 01:02:05,680 Speaker 1: that's in fact how they are funding the projects, then 1094 01:02:05,760 --> 01:02:11,160 Speaker 1: that might be counterproductive. And they the Gates Foundation said 1095 01:02:11,200 --> 01:02:14,560 Speaker 1: at one point that they were going to uh instill 1096 01:02:14,680 --> 01:02:17,520 Speaker 1: a new policy where everything would be reviewed before it 1097 01:02:17,520 --> 01:02:22,360 Speaker 1: would be funded, but then eventually apparently went back to look, 1098 01:02:22,440 --> 01:02:26,120 Speaker 1: the MORESS really compresme, this is leading us to not 1099 01:02:26,320 --> 01:02:29,280 Speaker 1: actually get money out to people, not quite not quite 1100 01:02:29,320 --> 01:02:31,520 Speaker 1: so far as to say the ends justify the means. 1101 01:02:31,640 --> 01:02:34,320 Speaker 1: But that's what the critics have said, right that that 1102 01:02:34,520 --> 01:02:38,360 Speaker 1: was their position. But ultimately they have funded a lot 1103 01:02:38,480 --> 01:02:41,280 Speaker 1: of charitable efforts to make the world a better place. Yeah, 1104 01:02:41,720 --> 01:02:46,760 Speaker 1: they Bill and Milinda have personally given over billion. That's incredible. 1105 01:02:46,880 --> 01:02:49,520 Speaker 1: And like we said, you know, Bill Gates was one 1106 01:02:49,520 --> 01:02:53,400 Speaker 1: of the ones who founded this giving pledge idea uh 1107 01:02:53,480 --> 01:02:54,840 Speaker 1: and there are a lot of people who have signed 1108 01:02:54,880 --> 01:02:58,160 Speaker 1: onto it, not just the tech billionaires. We've mentioned um. 1109 01:02:58,840 --> 01:03:01,800 Speaker 1: He also owns a one hundred twenty five million dollar 1110 01:03:01,920 --> 01:03:04,760 Speaker 1: home on Lake Washington. Not actually on the lake. It's 1111 01:03:04,760 --> 01:03:07,360 Speaker 1: actually just on the shore of the lake. It's should 1112 01:03:07,480 --> 01:03:08,920 Speaker 1: should be on the lake, that would be come on 1113 01:03:09,040 --> 01:03:12,000 Speaker 1: floating home. Technically it's underground, or most of it is. 1114 01:03:12,760 --> 01:03:14,840 Speaker 1: We did a Chris and I did a great podcast 1115 01:03:14,920 --> 01:03:18,000 Speaker 1: about Bill Gates's house, like a couple of years ago 1116 01:03:18,560 --> 01:03:21,480 Speaker 1: and the place from what we could what we were 1117 01:03:21,520 --> 01:03:24,480 Speaker 1: able to read, because you know, there's not not all 1118 01:03:24,520 --> 01:03:27,520 Speaker 1: the details are available. But he didn't invite you over 1119 01:03:27,560 --> 01:03:29,600 Speaker 1: when he found out that you were doing the episode. Yeah, 1120 01:03:29,720 --> 01:03:34,320 Speaker 1: sadly that invitation has been lost in the never been written. Male. Uh. Yeah, 1121 01:03:34,880 --> 01:03:37,160 Speaker 1: but it's an incredible house. It's one of those places 1122 01:03:37,240 --> 01:03:41,360 Speaker 1: where they incorporate a lot of environmental design in the 1123 01:03:41,400 --> 01:03:44,560 Speaker 1: house itself to make it kind of a compliment to 1124 01:03:44,760 --> 01:03:47,160 Speaker 1: the area, not just you know, not just a big 1125 01:03:47,200 --> 01:03:49,720 Speaker 1: house that's sitting on a pretty day. It's part of 1126 01:03:49,800 --> 01:03:54,080 Speaker 1: a pretty hill. Uh. They also incorporated a lot of technology, 1127 01:03:54,240 --> 01:03:58,120 Speaker 1: including and I'm I'm assuming that he's upgraded this since then, 1128 01:03:58,240 --> 01:04:00,040 Speaker 1: but I remember one of the first systems I I 1129 01:04:00,120 --> 01:04:02,800 Speaker 1: read about was an r F I D system where 1130 01:04:02,840 --> 01:04:04,920 Speaker 1: you would get something that would have an r F 1131 01:04:05,000 --> 01:04:07,200 Speaker 1: I D chip in it, and you could program the 1132 01:04:07,280 --> 01:04:10,840 Speaker 1: chip to whatever specifications you like, so you could say, 1133 01:04:11,080 --> 01:04:13,240 Speaker 1: you know, I like it when a room is seventy degrees, 1134 01:04:13,520 --> 01:04:14,920 Speaker 1: and I like this kind of music, and I like 1135 01:04:15,000 --> 01:04:16,920 Speaker 1: this kind of art, and as you moved through the house, 1136 01:04:17,000 --> 01:04:19,800 Speaker 1: the house around. Yeah, so it's the idea of the 1137 01:04:19,840 --> 01:04:22,800 Speaker 1: smart home. Now, you know, we're getting to the point 1138 01:04:22,840 --> 01:04:25,120 Speaker 1: now where the r F I D is becoming less 1139 01:04:25,160 --> 01:04:28,080 Speaker 1: and less necessary to achieve that. But back when the 1140 01:04:28,200 --> 01:04:30,400 Speaker 1: sus is first being built, that's that was state of 1141 01:04:30,440 --> 01:04:34,520 Speaker 1: the art. So yeah, I mean, pretty interesting guy. Um, 1142 01:04:34,840 --> 01:04:37,560 Speaker 1: he's the father of three kids. Uh. Thought i'd go 1143 01:04:37,560 --> 01:04:40,200 Speaker 1: ahead and drop that on there. So yeah, it's he's 1144 01:04:41,000 --> 01:04:44,680 Speaker 1: he's definitely done a lot uh in technology and and 1145 01:04:44,920 --> 01:04:47,560 Speaker 1: again the world be a very different place without his contributions. 1146 01:04:47,720 --> 01:04:50,120 Speaker 1: So about the contributions of all of these people, yep, 1147 01:04:50,320 --> 01:04:52,720 Speaker 1: And so I just thought one of their little interesting tidbits. 1148 01:04:52,720 --> 01:04:57,920 Speaker 1: Since we talked about fifteen people, one third of the 1149 01:04:58,080 --> 01:05:01,120 Speaker 1: billionaires we talked about dropped out of college. Yeah, we 1150 01:05:01,160 --> 01:05:04,240 Speaker 1: found this fascinating. Yeah, five five out of the top 1151 01:05:04,320 --> 01:05:09,080 Speaker 1: fifteen billionaires in technology billionaires dropped out of college, and 1152 01:05:09,320 --> 01:05:12,400 Speaker 1: and we're not saying that you shouldn't necessarily drop out 1153 01:05:12,440 --> 01:05:16,080 Speaker 1: of school. And it's it's a great the first Star 1154 01:05:16,200 --> 01:05:22,080 Speaker 1: is listening to tech stuff. Obviously you are congratulations. We 1155 01:05:22,160 --> 01:05:25,560 Speaker 1: don't we don't know. We only teach, No, don't. We're 1156 01:05:25,600 --> 01:05:27,480 Speaker 1: not saying you drop out of school. But what what 1157 01:05:27,600 --> 01:05:29,680 Speaker 1: I was talking I was telling to Lauren before we 1158 01:05:29,760 --> 01:05:32,120 Speaker 1: came into the studio, and I said, you know, I 1159 01:05:32,360 --> 01:05:36,280 Speaker 1: think part of it is that when you are really smart, 1160 01:05:36,840 --> 01:05:39,680 Speaker 1: like like these people are smart, Yes, this level of smart, 1161 01:05:40,720 --> 01:05:43,200 Speaker 1: which is way over my head. When you're this smart 1162 01:05:43,280 --> 01:05:46,000 Speaker 1: and you're this ambitious and you have this kind of vision, 1163 01:05:46,320 --> 01:05:47,840 Speaker 1: So it's not just that you're smart, but that you 1164 01:05:47,920 --> 01:05:50,919 Speaker 1: can you can apply that intelligence in a way that's 1165 01:05:50,920 --> 01:05:54,080 Speaker 1: going to resonate with people and be valuable to people. 1166 01:05:54,720 --> 01:05:57,000 Speaker 1: And when you are of this age so we're talking, 1167 01:05:57,080 --> 01:05:59,680 Speaker 1: you know, of the college age, you know, in eighteen, 1168 01:06:00,000 --> 01:06:03,080 Speaker 1: funny fast somewhere around there. Uh, then you you also 1169 01:06:03,160 --> 01:06:04,960 Speaker 1: are at an age where you can afford to take 1170 01:06:05,080 --> 01:06:08,320 Speaker 1: some pretty big risks because you haven't necessarily got these 1171 01:06:08,360 --> 01:06:10,720 Speaker 1: other things that you have to worry about, like a family, 1172 01:06:10,760 --> 01:06:13,040 Speaker 1: your home or something like that you don't already have 1173 01:06:13,320 --> 01:06:16,200 Speaker 1: large investments that you're going to you know, yeah, that 1174 01:06:16,240 --> 01:06:18,439 Speaker 1: you're going to throw away if you if you risk 1175 01:06:18,520 --> 01:06:21,840 Speaker 1: everything and lose. So you have you have it lots 1176 01:06:21,840 --> 01:06:23,560 Speaker 1: of benefits. You've got a lot of energy, you've got 1177 01:06:23,680 --> 01:06:26,560 Speaker 1: this great idea, you've got the intelligence, you've got the opportunity, 1178 01:06:26,920 --> 01:06:28,760 Speaker 1: and you don't have a lot of stuff that would 1179 01:06:28,840 --> 01:06:31,360 Speaker 1: prevent you from taking a big risk aside from this 1180 01:06:31,480 --> 01:06:34,640 Speaker 1: pesky degree that you're pursuing. Right, yeah, that might be 1181 01:06:34,720 --> 01:06:37,680 Speaker 1: a problem. But uh and and so we've talked about 1182 01:06:37,800 --> 01:06:41,400 Speaker 1: other people who realized that, you know, this is going 1183 01:06:41,440 --> 01:06:44,080 Speaker 1: to be a risk, like Elon Musk, where he's like, 1184 01:06:44,160 --> 01:06:46,439 Speaker 1: you know, this is this is something that might not work. 1185 01:06:46,520 --> 01:06:48,680 Speaker 1: So I want to be able to go back to 1186 01:06:48,800 --> 01:06:51,560 Speaker 1: my studies if I need to. Um. But when you 1187 01:06:51,640 --> 01:06:54,640 Speaker 1: get older, that that window becomes harder and harder to 1188 01:06:54,760 --> 01:06:58,680 Speaker 1: justify jumping through. Right at my age, I'm a married man, 1189 01:06:58,840 --> 01:07:01,480 Speaker 1: I own a home, I've got a lot of ties 1190 01:07:01,560 --> 01:07:03,400 Speaker 1: here in Atlanta. It would be it would take a 1191 01:07:03,520 --> 01:07:08,280 Speaker 1: lot for me to have to make a so um. 1192 01:07:08,520 --> 01:07:12,280 Speaker 1: So there's some benefit to to doing it the way 1193 01:07:12,360 --> 01:07:14,240 Speaker 1: these guys have done it because they were in the 1194 01:07:14,400 --> 01:07:17,240 Speaker 1: right time, the right position, with the right idea, but 1195 01:07:17,720 --> 01:07:21,040 Speaker 1: most of us probably could benefit from finishing out the 1196 01:07:21,160 --> 01:07:25,800 Speaker 1: rest of that college education. I hope you enjoyed that 1197 01:07:26,040 --> 01:07:29,560 Speaker 1: classic episode of tech Stuff. If you have suggestions for 1198 01:07:29,800 --> 01:07:34,280 Speaker 1: future topics, you know, brand new ones, not future classics, 1199 01:07:34,600 --> 01:07:37,040 Speaker 1: let me know. Send me a message on Twitter or 1200 01:07:37,120 --> 01:07:39,720 Speaker 1: on Facebook. The handle we use it both is text 1201 01:07:39,760 --> 01:07:42,360 Speaker 1: stuff H s W and I'll talk to you again 1202 01:07:43,040 --> 01:07:51,560 Speaker 1: really soon. Text Stuff is an I Heart Radio production. 1203 01:07:51,800 --> 01:07:54,600 Speaker 1: For more podcasts from my Heart Radio, visit the i 1204 01:07:54,720 --> 01:07:57,920 Speaker 1: Heart Radio app, Apple Podcasts, or wherever you listen to 1205 01:07:58,000 --> 01:08:01,080 Speaker 1: your favorite shows. Eight