1 00:00:00,680 --> 00:00:03,560 Speaker 1: Hello, and welcome to another episode of The Markomas Show, 2 00:00:03,600 --> 00:00:06,800 Speaker 1: where we're always talking about the decentralized revolution. We're talking 3 00:00:06,800 --> 00:00:09,680 Speaker 1: about the way the world is changing, and we talk 4 00:00:09,680 --> 00:00:12,680 Speaker 1: about it through the lens of politics, finance, and technology. 5 00:00:12,680 --> 00:00:15,000 Speaker 1: As I always say every week, it's always technology that 6 00:00:15,120 --> 00:00:18,840 Speaker 1: changes the world more than anything. Politics and finance change 7 00:00:18,880 --> 00:00:21,480 Speaker 1: around technology, and so that is what we are going 8 00:00:21,520 --> 00:00:24,200 Speaker 1: to be talking about today. We're going to dig in 9 00:00:24,200 --> 00:00:27,120 Speaker 1: and we're going to talk about the dark truth about 10 00:00:27,240 --> 00:00:30,640 Speaker 1: artificial intelligence, about AI, and we're going to talk about 11 00:00:30,640 --> 00:00:34,159 Speaker 1: it how it is going to disrupt everything, yes, including finance, 12 00:00:34,240 --> 00:00:38,199 Speaker 1: and yes, including politics. It's gonna disrupt all of those. 13 00:00:38,200 --> 00:00:39,559 Speaker 1: So what we're going to cover today, we're going to 14 00:00:39,560 --> 00:00:41,800 Speaker 1: talk about the history. You know, I love history. I'm 15 00:00:41,800 --> 00:00:45,240 Speaker 1: going to take you back through the history of disruptive technologies. 16 00:00:45,280 --> 00:00:48,239 Speaker 1: I'm going to show you that as many things that 17 00:00:48,280 --> 00:00:51,239 Speaker 1: are new that are actually just old, so we can 18 00:00:51,280 --> 00:00:52,680 Speaker 1: look at them from a historical lens. It's going to 19 00:00:52,720 --> 00:00:54,520 Speaker 1: give us a lot more clarity as to what we're seeing 20 00:00:54,560 --> 00:00:56,480 Speaker 1: and where we're going. We're going to look at some 21 00:00:56,600 --> 00:01:00,840 Speaker 1: examples like sewing machines and electricity, and of course, yes, 22 00:01:00,920 --> 00:01:03,800 Speaker 1: the Internet, each of those were disruptive technologies. We're gonna 23 00:01:03,840 --> 00:01:07,280 Speaker 1: look at something known as Moore's Law and how it 24 00:01:07,440 --> 00:01:10,920 Speaker 1: predicts how fast things change. And then we're gonna look 25 00:01:10,920 --> 00:01:14,880 Speaker 1: at some recent inspiration behind this new tech and one 26 00:01:14,920 --> 00:01:16,959 Speaker 1: of the biggest dangers and fears that I have of 27 00:01:17,000 --> 00:01:19,679 Speaker 1: what's going on in the United States in regards to 28 00:01:19,720 --> 00:01:22,800 Speaker 1: this new technology and where this takes us, specifically for 29 00:01:22,840 --> 00:01:24,840 Speaker 1: my kids and my grandkids world. So we're gonna talk 30 00:01:24,880 --> 00:01:26,839 Speaker 1: about all that. It's a big show. I got a 31 00:01:26,959 --> 00:01:30,199 Speaker 1: very ambitious schedule, so stick with me. I'm gonna talk fast. 32 00:01:30,600 --> 00:01:33,560 Speaker 1: Don't miss it. Now. If you miss any of it, 33 00:01:33,800 --> 00:01:35,480 Speaker 1: don't worry. I got your back. You can check it 34 00:01:35,520 --> 00:01:37,400 Speaker 1: out on the podcast. Just go to your favorite podcast 35 00:01:37,440 --> 00:01:41,600 Speaker 1: player and search search the Mark Moss Show. Or you 36 00:01:41,640 --> 00:01:43,760 Speaker 1: can go onto YouTube and you can watch me and 37 00:01:43,800 --> 00:01:45,880 Speaker 1: you can listen at the same time. Just search for 38 00:01:45,959 --> 00:01:49,400 Speaker 1: the channel Market Disruptors and you can watch me. There. Now, 39 00:01:49,720 --> 00:01:53,800 Speaker 1: one more thing, if I could just ask, please, if 40 00:01:53,800 --> 00:01:56,640 Speaker 1: you don't mind on your favorite podcast player, if you 41 00:01:56,640 --> 00:01:58,920 Speaker 1: could just rate and review the show, that'd be greatfully 42 00:01:58,920 --> 00:02:02,880 Speaker 1: helpful help show to reach more people. So please, if 43 00:02:02,880 --> 00:02:05,240 Speaker 1: you could just take what is that a minute out 44 00:02:05,240 --> 00:02:07,720 Speaker 1: of your day that would be greatly appreciated. All right, 45 00:02:07,760 --> 00:02:10,200 Speaker 1: so let's dig into this, see how much value we 46 00:02:10,200 --> 00:02:12,760 Speaker 1: can pack into here. But really let's go into some 47 00:02:12,960 --> 00:02:14,600 Speaker 1: of the background. Like I said, I want to take 48 00:02:14,600 --> 00:02:16,960 Speaker 1: you through this historical lens, because you know, those who 49 00:02:16,960 --> 00:02:18,640 Speaker 1: don't know history are bound to repeat it. And so 50 00:02:18,760 --> 00:02:21,640 Speaker 1: while a lot of this seems new and scary, it 51 00:02:21,680 --> 00:02:25,440 Speaker 1: always seems new and scary, but yet somehow it's not. 52 00:02:25,760 --> 00:02:28,400 Speaker 1: As a matter of fact, somehow it's actually much better. 53 00:02:28,960 --> 00:02:31,760 Speaker 1: And so uncertainty is always scared because we're not certain 54 00:02:32,000 --> 00:02:34,840 Speaker 1: of what that future looks like. But with the historical 55 00:02:34,919 --> 00:02:37,400 Speaker 1: narrative that I'm about to spin, hopefully that makes you 56 00:02:37,440 --> 00:02:40,880 Speaker 1: a lot more certain and a lot more confident, less 57 00:02:40,880 --> 00:02:42,680 Speaker 1: scared about what's going to happen. So you know, we 58 00:02:42,720 --> 00:02:46,040 Speaker 1: can look at a lot of this hysteria around what 59 00:02:46,080 --> 00:02:49,480 Speaker 1: I'm calling like disruptive technology and see that, like I said, 60 00:02:49,480 --> 00:02:53,160 Speaker 1: it's nothing new, and so disruptive technology uses something. I mean, 61 00:02:53,200 --> 00:02:56,560 Speaker 1: it's disruptive, So that means it disrupts the old way 62 00:02:56,760 --> 00:02:58,960 Speaker 1: to create a new way. It's what we call in technology, 63 00:02:58,960 --> 00:03:03,440 Speaker 1: we call it creative destruct So one new creation destroys 64 00:03:03,680 --> 00:03:06,919 Speaker 1: the old one, which is how it's supposed to work, right. 65 00:03:07,280 --> 00:03:11,240 Speaker 1: So obviously the the best, you know, modern example of 66 00:03:11,280 --> 00:03:14,239 Speaker 1: that is Kodak, the company that made film for cameras. 67 00:03:14,280 --> 00:03:18,280 Speaker 1: You know, over a hundred year old company was disrupted 68 00:03:18,440 --> 00:03:23,360 Speaker 1: by digital photography. And I'm sorry for Kodak, and you know, 69 00:03:23,480 --> 00:03:26,360 Speaker 1: they were a hallmark of the United States, you know, 70 00:03:26,400 --> 00:03:29,000 Speaker 1: kind of industrial world, and I'm sorry for the owners 71 00:03:29,040 --> 00:03:30,920 Speaker 1: of that company and the people that worked at that company, 72 00:03:31,240 --> 00:03:34,560 Speaker 1: but I'm so much happier that we have digital photos today. 73 00:03:35,640 --> 00:03:38,520 Speaker 1: You know, if you were an old school film photographer, 74 00:03:38,920 --> 00:03:41,880 Speaker 1: your career got disrupted because now with all the tools 75 00:03:42,000 --> 00:03:45,000 Speaker 1: digital tools that we have, it made something that used 76 00:03:45,000 --> 00:03:47,840 Speaker 1: to be very skilled and took a very skilled craftsman, 77 00:03:48,240 --> 00:03:50,600 Speaker 1: and now people can duplicate it very easily with digital photos. 78 00:03:50,600 --> 00:03:53,400 Speaker 1: So those people, those skilled photographers, and the people making 79 00:03:53,480 --> 00:03:58,320 Speaker 1: the film, the people developing the film, they all got disrupted. 80 00:03:58,520 --> 00:04:02,000 Speaker 1: They all lost their jobs. But me as a consumer, 81 00:04:02,040 --> 00:04:04,320 Speaker 1: I'm sure you as a consumer as well, agree that 82 00:04:05,000 --> 00:04:08,120 Speaker 1: most of the people benefited from that. So that sort 83 00:04:08,120 --> 00:04:09,640 Speaker 1: of sets it up. Let's dig into a little bit 84 00:04:09,680 --> 00:04:12,960 Speaker 1: of this. One of the things that if we look 85 00:04:12,960 --> 00:04:18,559 Speaker 1: at as looking at sci fi movies. Sci fi movies 86 00:04:18,560 --> 00:04:20,719 Speaker 1: are interesting because you know, they predict a lot of 87 00:04:20,720 --> 00:04:23,360 Speaker 1: things about what the future would have or would hold, 88 00:04:24,160 --> 00:04:26,599 Speaker 1: but not all those things ever really come true. Part 89 00:04:26,600 --> 00:04:29,680 Speaker 1: of the reason why is because humans are no good 90 00:04:29,720 --> 00:04:34,520 Speaker 1: at imagining the future. Humans can only really imagine better 91 00:04:34,720 --> 00:04:37,960 Speaker 1: versions of what we have today. So we have cars, 92 00:04:38,640 --> 00:04:42,640 Speaker 1: well of self driving cars, well flying cars, and they 93 00:04:43,000 --> 00:04:45,760 Speaker 1: vision things like that, but they don't they can't envision 94 00:04:46,000 --> 00:04:48,120 Speaker 1: something completely new because in order to get that something new, 95 00:04:48,160 --> 00:04:50,640 Speaker 1: you have to have new set of building blocks. If 96 00:04:50,640 --> 00:04:53,479 Speaker 1: you handed me a deck of cards, I could set 97 00:04:53,560 --> 00:04:55,880 Speaker 1: up like a house of cards, like a TV right, 98 00:04:55,920 --> 00:04:57,480 Speaker 1: Like I could build like a little lean to out 99 00:04:57,480 --> 00:04:59,440 Speaker 1: of a couple of cards. If you gave me a 100 00:04:59,480 --> 00:05:03,480 Speaker 1: set of las, I could build something completely different. And 101 00:05:03,560 --> 00:05:05,480 Speaker 1: until I get those new set of building blocks, I 102 00:05:05,480 --> 00:05:07,919 Speaker 1: can't even imagine building something different. And so that's what 103 00:05:07,960 --> 00:05:11,320 Speaker 1: this technology does. Now. If we look at some you know, 104 00:05:12,160 --> 00:05:14,440 Speaker 1: more recent movies in history, we can see, you know, 105 00:05:14,480 --> 00:05:17,600 Speaker 1: the film Matrix, which is even though it's an old movie, 106 00:05:17,640 --> 00:05:19,880 Speaker 1: I think it's from nineteen ninety nine, it's now whatever, 107 00:05:19,960 --> 00:05:23,760 Speaker 1: twenty four years old. Thing. I'm old. It's an old movie, 108 00:05:23,760 --> 00:05:25,839 Speaker 1: but you know, it still gets circulated a lot today 109 00:05:25,839 --> 00:05:28,120 Speaker 1: because of the Red pill Blue pill. You know, in 110 00:05:28,480 --> 00:05:30,679 Speaker 1: the movie, Neo took the red pill and he knew everything. 111 00:05:31,800 --> 00:05:33,320 Speaker 1: The blue pill was he'd go back to sleep and 112 00:05:33,360 --> 00:05:35,960 Speaker 1: didn't know anything. But in that movie. Really we've got 113 00:05:36,000 --> 00:05:40,360 Speaker 1: to see like VR virtual reality, simulated reality, virtual reality, 114 00:05:40,400 --> 00:05:45,200 Speaker 1: things like that, even though they didn't really come into 115 00:05:45,200 --> 00:05:47,719 Speaker 1: commercial use until just recently. It's still sort of gaming 116 00:05:47,839 --> 00:05:50,599 Speaker 1: gamings team however, Really that technology started in like the 117 00:05:50,640 --> 00:05:54,039 Speaker 1: nineteen sixties. Of course, self driving cars, lots of movies 118 00:05:54,040 --> 00:05:57,600 Speaker 1: have had those. The Minority Report in two thousand and 119 00:05:57,600 --> 00:06:00,360 Speaker 1: two talked about self driving cars. One thing that's interesting 120 00:06:00,400 --> 00:06:02,280 Speaker 1: when you think about these sci fi movies that kind 121 00:06:02,279 --> 00:06:07,120 Speaker 1: of predict the future, they pretty much always predict a dark, 122 00:06:07,640 --> 00:06:12,440 Speaker 1: dystopian world. It's not good. There's another movie called Demolition 123 00:06:12,560 --> 00:06:15,880 Speaker 1: Man with Sylvester Stallone. He was like a police officer 124 00:06:16,000 --> 00:06:18,240 Speaker 1: and he chased down a criminal. They both got put 125 00:06:18,279 --> 00:06:20,800 Speaker 1: into like a cryo prison where they were basically frozen, 126 00:06:21,040 --> 00:06:22,560 Speaker 1: and they came out, I don't know what it was 127 00:06:22,600 --> 00:06:25,000 Speaker 1: fifty years later or something like that, and they woke 128 00:06:25,080 --> 00:06:27,599 Speaker 1: up and didn't recognize the world and it was like 129 00:06:27,680 --> 00:06:32,440 Speaker 1: around Los Angeles, and the world that they show that 130 00:06:32,480 --> 00:06:36,800 Speaker 1: they woke up into is a world that I don't 131 00:06:36,839 --> 00:06:38,880 Speaker 1: necessarily want, but it seems to be the world that 132 00:06:38,920 --> 00:06:41,080 Speaker 1: we're going into. As a matter of fact, you know, 133 00:06:41,120 --> 00:06:43,080 Speaker 1: you've all heard the world that Comic Forum talk about 134 00:06:43,640 --> 00:06:46,880 Speaker 1: in twenty thirty you'll own nothing and be happy. And 135 00:06:46,920 --> 00:06:48,800 Speaker 1: that's because the world that Comic Form put that out 136 00:06:48,839 --> 00:06:50,880 Speaker 1: on their Twitter, they put it on their website. And 137 00:06:50,920 --> 00:06:53,480 Speaker 1: really where that was inspired from was an article written 138 00:06:53,520 --> 00:06:55,760 Speaker 1: by I believe it was Ida alcin I think it 139 00:06:55,839 --> 00:07:03,120 Speaker 1: is her name, who's parliament member, I think for the 140 00:07:03,160 --> 00:07:06,120 Speaker 1: Netherlands or Holland, one of those. I'm sorry, don't quote 141 00:07:06,160 --> 00:07:08,400 Speaker 1: me on that. And now she's a big player in 142 00:07:08,640 --> 00:07:11,000 Speaker 1: the world comic form. But she wrote this long article 143 00:07:11,040 --> 00:07:15,640 Speaker 1: and it started out by saying, the year is twenty thirty. 144 00:07:16,920 --> 00:07:21,000 Speaker 1: I own nothing, I have no privacy, and I've never 145 00:07:21,000 --> 00:07:22,520 Speaker 1: been happier, or something like that. And she goes on 146 00:07:22,560 --> 00:07:26,160 Speaker 1: to explain this article and talks about how she doesn't 147 00:07:26,160 --> 00:07:28,920 Speaker 1: own anything and she just you know, goes around and 148 00:07:28,960 --> 00:07:30,720 Speaker 1: wherever she needs. She just has a bed and she 149 00:07:30,800 --> 00:07:32,560 Speaker 1: just sleeps there. And when she walks out on the 150 00:07:32,560 --> 00:07:34,760 Speaker 1: street to go somewhere. A car just magically appears and 151 00:07:34,920 --> 00:07:37,120 Speaker 1: takes her to where she wants to go. And there's 152 00:07:37,160 --> 00:07:39,960 Speaker 1: this whole world where there's no privacy because even her 153 00:07:40,120 --> 00:07:44,200 Speaker 1: dreams are being read, her brain activity is being fed 154 00:07:44,240 --> 00:07:47,160 Speaker 1: into this giant AI cloud which always knows what she 155 00:07:47,320 --> 00:07:49,240 Speaker 1: wants and always serves it up to her at the 156 00:07:49,280 --> 00:07:53,200 Speaker 1: point that she needs it. And then she goes on 157 00:07:53,240 --> 00:07:56,920 Speaker 1: to say, I feel bad for those people living outside 158 00:07:56,920 --> 00:08:02,280 Speaker 1: the walls who don't have what we have. So she 159 00:08:02,360 --> 00:08:05,280 Speaker 1: talks about like, really two classes of people, and there's 160 00:08:05,320 --> 00:08:07,720 Speaker 1: a class of people that live outside of the walls 161 00:08:07,880 --> 00:08:12,040 Speaker 1: that don't live in this technological she describes it as 162 00:08:12,080 --> 00:08:15,040 Speaker 1: a utopia. I would describe it as a dystopia. But 163 00:08:15,120 --> 00:08:16,840 Speaker 1: she describes these people that being outside the walls who 164 00:08:16,880 --> 00:08:20,000 Speaker 1: don't have that she feels bad for them. But back 165 00:08:20,040 --> 00:08:22,840 Speaker 1: to The Demolition Man the movie, that's exactly what they showed. 166 00:08:23,080 --> 00:08:25,320 Speaker 1: You had this group of people who had no privacy 167 00:08:25,400 --> 00:08:28,400 Speaker 1: and they lived in this technical dystopia in my opinion, 168 00:08:28,520 --> 00:08:30,120 Speaker 1: and then you have these people that lived outside the walls, 169 00:08:30,080 --> 00:08:32,960 Speaker 1: and technically in the movie, they lived underground and they 170 00:08:32,960 --> 00:08:35,600 Speaker 1: didn't have any of those comforts. But they thought they 171 00:08:35,600 --> 00:08:39,240 Speaker 1: were living much better. So anyway, very interesting that unfortunately 172 00:08:39,280 --> 00:08:43,079 Speaker 1: all these movies kind of show this world. And I 173 00:08:43,160 --> 00:08:46,600 Speaker 1: think part of it is because when you understand this technology, 174 00:08:46,600 --> 00:08:49,920 Speaker 1: and more importantly, how this technology can be used not 175 00:08:49,960 --> 00:08:53,400 Speaker 1: just for us but against us, it's very clear where 176 00:08:54,880 --> 00:08:58,280 Speaker 1: human nature takes these things. Anyway, if you're just tuning in, 177 00:08:58,280 --> 00:09:00,760 Speaker 1: you're listening to the Mark Mash Show. We're breaking down 178 00:09:00,800 --> 00:09:04,079 Speaker 1: the technological revolution. We're going through history and bringing it 179 00:09:04,120 --> 00:09:05,719 Speaker 1: forward all the way to today and where we're going. 180 00:09:05,720 --> 00:09:08,000 Speaker 1: We're using history to tell us what is coming next. 181 00:09:08,160 --> 00:09:09,560 Speaker 1: I'm gonna take a quick break. I'm gonna co back. 182 00:09:09,559 --> 00:09:11,360 Speaker 1: We're going to talk about disruptive technology. I'm going to 183 00:09:11,400 --> 00:09:14,160 Speaker 1: go back for five six hundred years and talk about 184 00:09:14,160 --> 00:09:17,800 Speaker 1: different types of technology, how people were scared, what happened 185 00:09:17,840 --> 00:09:21,200 Speaker 1: after that, and so much more. Then we'll get into 186 00:09:21,559 --> 00:09:23,679 Speaker 1: the types of technology we have now that are disrupting 187 00:09:23,720 --> 00:09:26,000 Speaker 1: things and the big danger that we have in the 188 00:09:26,040 --> 00:09:28,040 Speaker 1: United States with this. So I'm gonna take a quick break. 189 00:09:28,040 --> 00:09:30,240 Speaker 1: I'll be right back. Don't go away, I'll be right back. 190 00:09:33,400 --> 00:09:34,920 Speaker 1: All right, Welcome back. If you're just tune in, you're 191 00:09:34,920 --> 00:09:37,160 Speaker 1: listening to the Mark mass show, and of course, as 192 00:09:37,200 --> 00:09:41,400 Speaker 1: always we're talking about the decentralized revolution, how technology is 193 00:09:41,559 --> 00:09:44,160 Speaker 1: decentralizing the world, how the world is breaking apart driven 194 00:09:44,160 --> 00:09:46,160 Speaker 1: by technology, but we look at it through politics, finance, 195 00:09:46,200 --> 00:09:49,560 Speaker 1: and technology. But we're sitting here talking about technology specifically 196 00:09:49,559 --> 00:09:53,560 Speaker 1: today and how technology has always changed things. Now we're 197 00:09:53,600 --> 00:09:59,319 Speaker 1: witnessing another technological revolution right now, which means the course 198 00:09:59,360 --> 00:10:02,240 Speaker 1: of humanity is going to change. And I think when 199 00:10:02,240 --> 00:10:06,559 Speaker 1: you look at AI and virtual reality and you know bitcoin, 200 00:10:07,200 --> 00:10:10,000 Speaker 1: you can see that like the world is changing. And 201 00:10:10,320 --> 00:10:11,920 Speaker 1: to all those sci fi movies I was talking about 202 00:10:11,920 --> 00:10:15,400 Speaker 1: before the break, it paints a world that looks a 203 00:10:15,400 --> 00:10:18,720 Speaker 1: little bleak. I mean, just what you already know about 204 00:10:18,720 --> 00:10:23,120 Speaker 1: AI and virtual reality, just extrapolate that to the future 205 00:10:23,120 --> 00:10:25,120 Speaker 1: and think about what the future it looks like. I'm 206 00:10:25,160 --> 00:10:27,800 Speaker 1: sure you guys saw the movie Ready Player one. Everybody 207 00:10:27,840 --> 00:10:31,120 Speaker 1: sort of has that reality or that vision of the 208 00:10:31,160 --> 00:10:34,120 Speaker 1: of the future being a reality, and it's pretty scary 209 00:10:34,760 --> 00:10:37,000 Speaker 1: a bunch of people just living inside a box, just 210 00:10:37,080 --> 00:10:40,160 Speaker 1: plugged into a virtual world all the time. Anyway, I 211 00:10:40,200 --> 00:10:42,440 Speaker 1: want to go through some history so you can sort 212 00:10:42,440 --> 00:10:45,160 Speaker 1: of understand that there's really nothing new. This is just 213 00:10:45,240 --> 00:10:49,120 Speaker 1: the way it goes. So some disruptive technologies. Some examples 214 00:10:49,160 --> 00:10:53,520 Speaker 1: of disruptive technologies. If we go back to fourteen fifty 215 00:10:53,600 --> 00:10:56,280 Speaker 1: and fourteen fifty was a very pivotal year. We had 216 00:10:56,360 --> 00:10:59,840 Speaker 1: the Protestant Reformation in the fifteen hundreds. But what's set 217 00:10:59,840 --> 00:11:04,520 Speaker 1: down that reformation up was about seventy years earlier was 218 00:11:04,559 --> 00:11:08,320 Speaker 1: a new technological revolution or a technology called the printing press. 219 00:11:08,679 --> 00:11:12,360 Speaker 1: It was invented by Johannes Gutenberg, and the printing press 220 00:11:12,400 --> 00:11:16,000 Speaker 1: made books cheaper and widely available. So up until that point, 221 00:11:16,480 --> 00:11:19,240 Speaker 1: mostly the books that were there were The Bible was 222 00:11:19,280 --> 00:11:21,760 Speaker 1: the biggest book as it stills today, and it had 223 00:11:21,760 --> 00:11:25,079 Speaker 1: to be hand transcribed, so there weren't a lot of 224 00:11:25,120 --> 00:11:26,800 Speaker 1: copies of books because you had to sit there and 225 00:11:26,840 --> 00:11:29,199 Speaker 1: read it or write it one by one. But now 226 00:11:29,200 --> 00:11:34,000 Speaker 1: the printing press allowed you to mass produce books, specifically 227 00:11:34,000 --> 00:11:37,880 Speaker 1: the Bible, which then undermined the authority of the church 228 00:11:37,920 --> 00:11:43,359 Speaker 1: and state, and so that was disruptive. It changed the world. 229 00:11:43,640 --> 00:11:47,840 Speaker 1: Leaders at the time were using the control of information, 230 00:11:48,760 --> 00:11:54,120 Speaker 1: controlling the narrative to push their agenda. They withheld information, 231 00:11:54,760 --> 00:11:57,160 Speaker 1: lied about what the true information was in order to 232 00:11:57,200 --> 00:12:01,120 Speaker 1: exert their power to maintain their grip of power. So 233 00:12:01,160 --> 00:12:03,080 Speaker 1: that's how technology has been used. And then of course 234 00:12:03,120 --> 00:12:05,280 Speaker 1: when people got the information for themselves, they said, wait 235 00:12:05,280 --> 00:12:07,400 Speaker 1: a minute, you're lying to us. That's not what it says, 236 00:12:08,040 --> 00:12:10,720 Speaker 1: and then they lost confidence in their leaders and it 237 00:12:10,760 --> 00:12:14,320 Speaker 1: all fell Remember that, we'll come back to that. Seventeen 238 00:12:14,440 --> 00:12:18,240 Speaker 1: twelve we had the steam engine, revolutionized the transportation industry, 239 00:12:18,679 --> 00:12:21,280 Speaker 1: power trains and ships and all of that. We started 240 00:12:21,280 --> 00:12:24,040 Speaker 1: having travel. It played a very pivotal role in the 241 00:12:24,080 --> 00:12:29,040 Speaker 1: Industrial Revolution. Of course, we still move stuff around the 242 00:12:29,040 --> 00:12:33,240 Speaker 1: world the same way today. In the early eighteen hundreds, 243 00:12:33,240 --> 00:12:35,679 Speaker 1: eighteen thirty, eighteen forties, we had the telegraph and that 244 00:12:35,720 --> 00:12:42,000 Speaker 1: allowed instantaneous communication over space, over long distances. So again 245 00:12:42,080 --> 00:12:45,280 Speaker 1: technology changes the way that we work, organize, and communicate. 246 00:12:45,400 --> 00:12:49,640 Speaker 1: So because now we could communicate instantaneously across long distances, 247 00:12:50,080 --> 00:12:53,160 Speaker 1: then we could organize and work differently. So that was 248 00:12:53,200 --> 00:12:58,440 Speaker 1: a massive disruptor. Now what was the communication channel before that, Well, 249 00:12:58,520 --> 00:13:03,240 Speaker 1: it was a mail, snail mail, slow mail, ponymail. Right, 250 00:13:03,600 --> 00:13:05,760 Speaker 1: you had to literally someone had to ride on a 251 00:13:05,800 --> 00:13:08,360 Speaker 1: horse with a letter over a long distance, or put 252 00:13:08,360 --> 00:13:10,440 Speaker 1: it on a ship and send it across the ocean 253 00:13:10,480 --> 00:13:13,360 Speaker 1: to somebody to get that communication there and now they 254 00:13:13,360 --> 00:13:16,080 Speaker 1: could have it instantly. So that was very disruptive to 255 00:13:16,200 --> 00:13:19,240 Speaker 1: those people that were delivering mail. That whole mail industry 256 00:13:19,400 --> 00:13:22,880 Speaker 1: was disrupted, and of course it was disrupted again with email. Electricity. 257 00:13:23,800 --> 00:13:30,000 Speaker 1: Electricity late nineteenth century was pretty interesting and disrupted lots 258 00:13:30,040 --> 00:13:33,240 Speaker 1: of things. One of which the very first application electricity 259 00:13:33,360 --> 00:13:35,920 Speaker 1: was the light bulb was like a digital candle. And 260 00:13:35,960 --> 00:13:38,800 Speaker 1: so what was disrupted, well, candles, As a matter of fact, 261 00:13:38,800 --> 00:13:41,079 Speaker 1: you can find if you search on the internet, you 262 00:13:41,120 --> 00:13:44,640 Speaker 1: can find like a letter from the candle Makers Association 263 00:13:45,800 --> 00:13:48,400 Speaker 1: writing a letter saying that this electricity had to be 264 00:13:48,520 --> 00:13:52,920 Speaker 1: controlled and censored and shut down because it was disrupting 265 00:13:53,440 --> 00:13:55,880 Speaker 1: their candle making business. I mean, candles have been light 266 00:13:55,920 --> 00:13:58,360 Speaker 1: for five thousand years. What do we need this electricity for? 267 00:13:58,600 --> 00:14:01,760 Speaker 1: Electricity is dangerous? Why do we need these wires? And 268 00:14:01,880 --> 00:14:03,760 Speaker 1: why do I need this big transformer in this big 269 00:14:03,800 --> 00:14:07,240 Speaker 1: box that could electrocute somebody. That's dangerous that it costs 270 00:14:07,240 --> 00:14:09,320 Speaker 1: too much money. I don't need that in my house. 271 00:14:09,520 --> 00:14:11,080 Speaker 1: We don't know what the long term effects are of 272 00:14:11,080 --> 00:14:15,160 Speaker 1: this electricity. Candles have been light for five thousand years, Well, 273 00:14:15,440 --> 00:14:18,280 Speaker 1: it disrupted them. We can keep going. It was interesting. 274 00:14:18,679 --> 00:14:21,160 Speaker 1: You might have heard the term Luddite, the Ludite movement. 275 00:14:21,760 --> 00:14:23,400 Speaker 1: I wrote a book. I co wrote a book called 276 00:14:23,400 --> 00:14:28,280 Speaker 1: The Uncommunist Manifesto, my co author Alex Fetzki. By the way, 277 00:14:28,280 --> 00:14:30,600 Speaker 1: if you don't have that book, you should check it out. 278 00:14:31,040 --> 00:14:34,000 Speaker 1: It's one some bestseller categories on Amazon. Just searched The 279 00:14:34,320 --> 00:14:36,440 Speaker 1: Uncommunist Manifesto. It's like a book that you could read 280 00:14:36,440 --> 00:14:38,600 Speaker 1: about hour hour and a half. Anyway, in that we 281 00:14:38,640 --> 00:14:44,920 Speaker 1: referenced the Lueddite, and in full confession, I wasn't really 282 00:14:44,960 --> 00:14:46,200 Speaker 1: even sure what that meant. I thought that was like 283 00:14:46,240 --> 00:14:48,520 Speaker 1: a derogatory term that you call people, which it sort 284 00:14:48,520 --> 00:14:51,240 Speaker 1: of is, but it has a historical grounding. And so 285 00:14:51,520 --> 00:14:54,000 Speaker 1: in the early eighteen hundreds, the Luedites were a group 286 00:14:54,040 --> 00:14:57,960 Speaker 1: of textile workers in England. And the reason why we 287 00:14:58,000 --> 00:15:00,600 Speaker 1: famously refer to them as like idiots it's their stupid 288 00:15:00,640 --> 00:15:03,080 Speaker 1: people or whatever, is because they were famous for their 289 00:15:03,120 --> 00:15:07,960 Speaker 1: resistance to new technologies such as the power loom and 290 00:15:08,040 --> 00:15:13,520 Speaker 1: the spinning frame. So they were creating textiles, but as 291 00:15:13,520 --> 00:15:17,200 Speaker 1: soon as these machines came that could make textiles faster, 292 00:15:17,800 --> 00:15:21,000 Speaker 1: they feared. These machines would make their skills obsolete and 293 00:15:21,120 --> 00:15:25,160 Speaker 1: cost them their jobs. They were right, they did, but 294 00:15:25,840 --> 00:15:30,520 Speaker 1: their response was to sabotage the machines. Their response was 295 00:15:30,560 --> 00:15:33,720 Speaker 1: to stop this progression. We can't have this new technological 296 00:15:33,720 --> 00:15:36,960 Speaker 1: innovation because it's gonna take away our jobs. Yes, it 297 00:15:37,000 --> 00:15:39,400 Speaker 1: did take away their jobs. We saw the sewing machines 298 00:15:39,440 --> 00:15:42,120 Speaker 1: eighteen fifty. Same thing. The seamstress is all feared for 299 00:15:42,160 --> 00:15:45,320 Speaker 1: their livelihoods. It's going to replace us. They won't need 300 00:15:45,320 --> 00:15:49,080 Speaker 1: our manual work anymore. What will we do? It turns 301 00:15:49,080 --> 00:15:52,920 Speaker 1: out you'll do higher value tasks. So we can see this. 302 00:15:52,960 --> 00:15:56,520 Speaker 1: The early nineteen hundreds we had automobiles, and newspapers were 303 00:15:56,520 --> 00:15:58,880 Speaker 1: talking about how dangerous these automobiles were. Why do we 304 00:15:58,920 --> 00:16:01,160 Speaker 1: need these things? They're noise, they're dangerous, they're going too 305 00:16:01,160 --> 00:16:06,160 Speaker 1: fast down these streets. Horse and carts have been transportation 306 00:16:06,320 --> 00:16:09,160 Speaker 1: for thousands of years. That's tried and true. We know 307 00:16:09,200 --> 00:16:10,880 Speaker 1: what they are. We don't know what these cars are. 308 00:16:10,920 --> 00:16:13,800 Speaker 1: These cars are dangerous. And so the point is is 309 00:16:13,840 --> 00:16:16,800 Speaker 1: that you can see every single time a new technology 310 00:16:16,840 --> 00:16:20,560 Speaker 1: is introduced, it disrupts an old way, and those people 311 00:16:20,560 --> 00:16:22,680 Speaker 1: that are being disrupted don't like it, and so they 312 00:16:22,680 --> 00:16:26,359 Speaker 1: fight against it, but for the majority of humanity it's beneficial. 313 00:16:26,440 --> 00:16:29,280 Speaker 1: So I'm sorry for the horse and buggy manufacturers they 314 00:16:29,320 --> 00:16:31,520 Speaker 1: lost their jobs. But I'm sure we all agree that 315 00:16:31,560 --> 00:16:36,160 Speaker 1: we're happy that we have automobiles today, right, Maybe not everybody, 316 00:16:36,200 --> 00:16:41,840 Speaker 1: not the ESG proponents. They're not happy about it anyway. Now, 317 00:16:41,840 --> 00:16:43,240 Speaker 1: one of the ways we can see that the Internet 318 00:16:43,240 --> 00:16:45,640 Speaker 1: has really changed things is one of my favorite books, 319 00:16:45,680 --> 00:16:47,760 Speaker 1: a book I've talked about many times, and it's called 320 00:16:47,800 --> 00:16:51,480 Speaker 1: The Sovereign individual I would highly recommend you reading this book, 321 00:16:51,480 --> 00:16:52,760 Speaker 1: but I'm just going to warn you in advance. It 322 00:16:52,800 --> 00:16:55,280 Speaker 1: is not an easy read. My book, The Uncommerce Manifesto 323 00:16:55,560 --> 00:16:57,360 Speaker 1: is like a booklet. Like I said, it's like hour read. 324 00:16:57,480 --> 00:16:59,880 Speaker 1: The Sovereign Individuals like I don't know. It's probably a 325 00:17:00,280 --> 00:17:03,320 Speaker 1: ten or twelve hour read, is my guess, but it's 326 00:17:03,400 --> 00:17:05,440 Speaker 1: highly worth it. I would recommend it if you really 327 00:17:05,480 --> 00:17:08,560 Speaker 1: want to know how things change and where we're going. 328 00:17:09,119 --> 00:17:11,399 Speaker 1: But they talked about in this book, and it was 329 00:17:11,400 --> 00:17:13,800 Speaker 1: written in like nineteen ninety seven, so it's very prophetic 330 00:17:13,960 --> 00:17:16,080 Speaker 1: where we're at today. They talked about how this this 331 00:17:16,240 --> 00:17:19,679 Speaker 1: digital revolution would lead to a world where where the 332 00:17:19,800 --> 00:17:24,639 Speaker 1: individual would gain more power at the expense of nation states. 333 00:17:25,080 --> 00:17:28,040 Speaker 1: The Internet would allow us to now move freely around 334 00:17:28,040 --> 00:17:33,080 Speaker 1: the world, work from anywhere, communicate without the centralized control 335 00:17:33,160 --> 00:17:35,480 Speaker 1: of a nation state. And so then as we remove 336 00:17:35,520 --> 00:17:40,160 Speaker 1: ourselves from their dependency, they lose power. So highly recommend 337 00:17:40,160 --> 00:17:43,400 Speaker 1: that the sovereign individual and the Internet has created us 338 00:17:43,480 --> 00:17:46,040 Speaker 1: as sovereign individuals. Now, if you're just tuned in, you're 339 00:17:46,040 --> 00:17:48,679 Speaker 1: listening to the Mark mass Show, we're talking about the 340 00:17:48,720 --> 00:17:51,640 Speaker 1: decentralized revolution of the world is changing and how technology 341 00:17:51,760 --> 00:17:53,919 Speaker 1: is driving that change. I'm going to take a very 342 00:17:53,960 --> 00:17:55,480 Speaker 1: quick break, but I'm going to come back and talk 343 00:17:55,520 --> 00:17:59,760 Speaker 1: about this law that shows us how the world has 344 00:17:59,800 --> 00:18:01,960 Speaker 1: changed at what speed, and then we'll talk about some 345 00:18:02,000 --> 00:18:03,679 Speaker 1: of the dangers that we have. I'll be back with 346 00:18:03,720 --> 00:18:09,479 Speaker 1: more in a minute. Don't go away, bear back. All right, 347 00:18:09,480 --> 00:18:10,960 Speaker 1: welcome back. If you're just tune in and you're listening 348 00:18:11,040 --> 00:18:13,800 Speaker 1: to the Mark Mos Show, we've been talking about how 349 00:18:13,840 --> 00:18:16,520 Speaker 1: this technology is changing the world. As I talk about 350 00:18:16,560 --> 00:18:19,639 Speaker 1: each and every week, the decentralized revolution, how the world's 351 00:18:19,680 --> 00:18:22,000 Speaker 1: breaking apart, and we've I kind of took you through 352 00:18:22,000 --> 00:18:24,679 Speaker 1: the history and now let's talk more about where this 353 00:18:24,880 --> 00:18:28,840 Speaker 1: is going. So there's something known as Moore's law. In 354 00:18:28,920 --> 00:18:31,840 Speaker 1: nineteen sixty five, a person named Gordon Moore, who was 355 00:18:31,880 --> 00:18:33,840 Speaker 1: the co founder of Intel. You've probably heard of them 356 00:18:34,400 --> 00:18:37,080 Speaker 1: Intel microchips, I'm sure, and he observed that the number 357 00:18:37,080 --> 00:18:42,359 Speaker 1: of transistors on a microchip doubled approximately every two years, 358 00:18:42,880 --> 00:18:46,760 Speaker 1: while the cost of the computers have So we doubled 359 00:18:47,480 --> 00:18:50,680 Speaker 1: the production of the chip, doubled the transistors, but reduced 360 00:18:50,680 --> 00:18:53,800 Speaker 1: the cost in half. So what this basically means is 361 00:18:53,840 --> 00:18:57,440 Speaker 1: that technology gets faster and it gets cheaper over time. 362 00:18:57,480 --> 00:18:59,560 Speaker 1: And this is how true. It's been over fifty years, 363 00:18:59,640 --> 00:19:02,080 Speaker 1: and this what's been happening. So we have this exponential 364 00:19:02,080 --> 00:19:05,520 Speaker 1: growth because it doubles, so you go from one to two, 365 00:19:05,520 --> 00:19:06,719 Speaker 1: but then you go from two to four, and from 366 00:19:06,720 --> 00:19:09,080 Speaker 1: four to eight, and from eight to sixteen, sixteen to 367 00:19:09,160 --> 00:19:12,360 Speaker 1: thirty two, and then from six thirty two to sixty four, 368 00:19:12,560 --> 00:19:16,119 Speaker 1: and like it starts doubling, and those last couple doubles 369 00:19:16,680 --> 00:19:19,600 Speaker 1: get really really really big. As it starts getting cheaper 370 00:19:19,640 --> 00:19:22,400 Speaker 1: and cheaper and cheaper, it allows things to get smaller 371 00:19:22,400 --> 00:19:24,720 Speaker 1: and smaller and smaller. Think about like you know, in 372 00:19:24,760 --> 00:19:28,480 Speaker 1: the sixties when they launched the space shuttle, NASA AD. 373 00:19:28,720 --> 00:19:31,480 Speaker 1: You know, entire buildings that were a big computer, and 374 00:19:31,520 --> 00:19:34,560 Speaker 1: today the iPhone is more powerful than that entire building 375 00:19:34,760 --> 00:19:37,480 Speaker 1: of a computer at the time. So it gets better, faster, 376 00:19:37,680 --> 00:19:40,679 Speaker 1: more powerful, it gets cheaper, and it gets smaller at 377 00:19:40,680 --> 00:19:45,119 Speaker 1: the same time. So that's what's happening. And like I said, today, 378 00:19:45,160 --> 00:19:47,440 Speaker 1: we have a few new technologies I believe this next 379 00:19:47,520 --> 00:19:52,080 Speaker 1: technological revolution, and I think those are artificial intelligence and 380 00:19:54,200 --> 00:19:58,920 Speaker 1: really bitcoin decentralized ledger technology. So we have artificial intelligence, 381 00:19:58,920 --> 00:20:01,840 Speaker 1: which is really it's a sort of a subset or 382 00:20:01,880 --> 00:20:04,000 Speaker 1: maybe a continuation of what we've been doing for a while, 383 00:20:04,000 --> 00:20:07,239 Speaker 1: which is machine learning, where machines can learn and then 384 00:20:07,280 --> 00:20:10,120 Speaker 1: they can improve upon themselves. So we're starting to see that. 385 00:20:10,359 --> 00:20:14,000 Speaker 1: We're starting to see a lot of potential use cases 386 00:20:14,080 --> 00:20:18,040 Speaker 1: and really disruptive use cases that are happening. Look no further. 387 00:20:18,119 --> 00:20:20,119 Speaker 1: I mean I'm in southern California, Look no further than 388 00:20:20,200 --> 00:20:22,720 Speaker 1: up the road for me in Hollywood, and we have 389 00:20:24,640 --> 00:20:26,800 Speaker 1: actors on strike. We're going to talk about that in 390 00:20:26,800 --> 00:20:30,280 Speaker 1: a second. But we can see, you know, these algorithms. 391 00:20:30,280 --> 00:20:32,520 Speaker 1: We have these social media platforms that recommend content we 392 00:20:32,520 --> 00:20:35,800 Speaker 1: should watch Netflix movies, weh watch YouTube videos we should watch, 393 00:20:36,040 --> 00:20:38,320 Speaker 1: and that's sort of like a machine learning. It's an 394 00:20:38,359 --> 00:20:40,960 Speaker 1: algorithm that learns what I like and it serves those 395 00:20:40,960 --> 00:20:43,600 Speaker 1: things up to me. Of course, like I said, bitcoin 396 00:20:43,720 --> 00:20:46,280 Speaker 1: is now a new way for us to send value 397 00:20:46,520 --> 00:20:49,840 Speaker 1: over time and space that's not controlled by essential entity. 398 00:20:50,200 --> 00:20:55,479 Speaker 1: So now I can move packets of value bitcoin like money, 399 00:20:55,600 --> 00:20:57,520 Speaker 1: and it can be sent from me to you peer 400 00:20:57,520 --> 00:21:00,000 Speaker 1: to peer without going through a YouTube or a Google 401 00:21:00,240 --> 00:21:03,879 Speaker 1: or Facebook or something like that. That is very disruptive 402 00:21:03,960 --> 00:21:08,440 Speaker 1: as well. And so these are things that are changing. 403 00:21:08,640 --> 00:21:12,200 Speaker 1: These are the things that are upon us right now now. 404 00:21:12,280 --> 00:21:15,880 Speaker 1: Like I said, there's always potential dangers, or at least 405 00:21:15,920 --> 00:21:20,159 Speaker 1: there's always perceived potential dangers, because we're scared of what 406 00:21:20,200 --> 00:21:22,960 Speaker 1: this new technology could do. We're scared of what this 407 00:21:23,080 --> 00:21:26,640 Speaker 1: new technology is replacing. And people are scared because their 408 00:21:26,760 --> 00:21:29,600 Speaker 1: jobs are in danger and they're going to have to 409 00:21:29,680 --> 00:21:31,240 Speaker 1: learn to do something new. So, for example, in the 410 00:21:31,240 --> 00:21:34,840 Speaker 1: Industrial Revolution, before the Industrial Revolution in the late seventeen hundreds, 411 00:21:34,960 --> 00:21:39,760 Speaker 1: everybody worked on farms and in like a cottage industry. Now, 412 00:21:39,880 --> 00:21:42,240 Speaker 1: when the machines were made, a machine could do the 413 00:21:42,280 --> 00:21:45,680 Speaker 1: work of five thousand men. But what would those five 414 00:21:45,720 --> 00:21:50,159 Speaker 1: thousand men do well. Turns out things like science and 415 00:21:50,240 --> 00:21:55,200 Speaker 1: medicine higher value tasks. I've been going down to Mexico 416 00:21:55,280 --> 00:21:58,760 Speaker 1: and Central America for many, many decades down there surfing. 417 00:21:58,800 --> 00:22:00,359 Speaker 1: They got great waves, and I love the food and 418 00:22:00,359 --> 00:22:03,800 Speaker 1: the people. And I've been on Nicaragua a couple times. 419 00:22:03,880 --> 00:22:06,000 Speaker 1: Nicaragua is very, very poor. You still have people getting 420 00:22:06,000 --> 00:22:08,040 Speaker 1: around on like oxen and carts and stuff like that 421 00:22:08,119 --> 00:22:11,320 Speaker 1: down there. And where I like to go is about 422 00:22:11,320 --> 00:22:13,679 Speaker 1: a three hour drive from the airport where you fly in. 423 00:22:14,200 --> 00:22:17,119 Speaker 1: And every time I go back, like they're still working 424 00:22:17,200 --> 00:22:20,160 Speaker 1: on this same road, and it's like years in between, right, 425 00:22:20,560 --> 00:22:22,879 Speaker 1: Like they're still working, and like they're literally like putting 426 00:22:23,000 --> 00:22:26,359 Speaker 1: like brick by brick by brick on there, like like 427 00:22:26,480 --> 00:22:29,080 Speaker 1: hand pavers, right. And I asked the guy, I'm like 428 00:22:29,119 --> 00:22:30,760 Speaker 1: the guy that was driving back and forth, and I'm like, 429 00:22:32,000 --> 00:22:34,440 Speaker 1: can't they just get like a tractor in here and 430 00:22:34,520 --> 00:22:37,199 Speaker 1: just like grade this whole thing and pave it? And 431 00:22:37,240 --> 00:22:38,919 Speaker 1: he said, yeah, But then what are all these people 432 00:22:38,920 --> 00:22:43,320 Speaker 1: going to do? You See, it's always the same thing 433 00:22:43,400 --> 00:22:46,000 Speaker 1: that we hear all the time. So we have the 434 00:22:46,040 --> 00:22:48,199 Speaker 1: Luddites who are afraid of being replaced. But then we 435 00:22:48,240 --> 00:22:53,240 Speaker 1: also have the fearmongers worried about what this could do. Now. 436 00:22:53,240 --> 00:22:56,919 Speaker 1: Of course, part of it also stems at least you know, 437 00:22:57,040 --> 00:22:59,919 Speaker 1: part of my concerns today are not so much afraid 438 00:23:00,080 --> 00:23:04,640 Speaker 1: of the technology, but really my fears revolve around who 439 00:23:05,240 --> 00:23:09,800 Speaker 1: controls the technology and uses the technology against us. So 440 00:23:11,040 --> 00:23:16,520 Speaker 1: I want the convenience. I want the benefit of the technology. 441 00:23:16,560 --> 00:23:18,280 Speaker 1: I grew up as a kid watching like the cartoon 442 00:23:18,280 --> 00:23:20,119 Speaker 1: The Jetsons, and they lived in space and they had 443 00:23:20,119 --> 00:23:21,920 Speaker 1: a robot that would clean the house and they could 444 00:23:21,920 --> 00:23:23,920 Speaker 1: talk to their house and it would do everything for them. 445 00:23:23,960 --> 00:23:26,359 Speaker 1: Like I want that, Like what was it an iron 446 00:23:26,359 --> 00:23:28,960 Speaker 1: Man he had? Like Jarvis? Like I want Jarvis. I 447 00:23:29,000 --> 00:23:30,199 Speaker 1: want to talk to my house and have to do 448 00:23:30,200 --> 00:23:32,359 Speaker 1: everything for me. Hey, start my coffee, shut the blind, 449 00:23:32,480 --> 00:23:35,040 Speaker 1: turn the t beyond like I want that. What I 450 00:23:35,119 --> 00:23:38,919 Speaker 1: don't want is Amazon Alexa to do it for me, 451 00:23:38,960 --> 00:23:43,080 Speaker 1: because Amazon listens to all my conversations and steals my 452 00:23:43,200 --> 00:23:47,399 Speaker 1: data and weaponizes it against me. So I want the technology. 453 00:23:47,480 --> 00:23:50,119 Speaker 1: I want the convenience of the technology, the benefit of it. 454 00:23:50,200 --> 00:23:53,760 Speaker 1: I don't want it used against me. But unfortunately that's 455 00:23:54,000 --> 00:23:56,520 Speaker 1: the battle that I see. Now. Some of this we 456 00:23:56,560 --> 00:23:59,640 Speaker 1: can see again. Going back to these movies show us 457 00:24:00,280 --> 00:24:05,240 Speaker 1: where this inevitably goes. One of the most famous books 458 00:24:05,240 --> 00:24:08,040 Speaker 1: and examples of this is George Orwell's nineteen eighty four, 459 00:24:08,640 --> 00:24:13,080 Speaker 1: which was written I don't know what is that seventy 460 00:24:13,359 --> 00:24:17,080 Speaker 1: eighty years ago, before any of this technology was there. However, 461 00:24:17,160 --> 00:24:21,199 Speaker 1: if you go read it today, it's like, this is 462 00:24:21,200 --> 00:24:24,920 Speaker 1: what happened. I was flying last week and the guy 463 00:24:24,920 --> 00:24:26,639 Speaker 1: sitting behind me had the book and I was like, Oh, 464 00:24:26,680 --> 00:24:28,080 Speaker 1: that's a great book. And then he's like, oh, yeah, 465 00:24:28,119 --> 00:24:30,600 Speaker 1: it's scary. I said, I know. It was not meant 466 00:24:30,640 --> 00:24:32,560 Speaker 1: to be an instruction manual. It was meant to be 467 00:24:32,560 --> 00:24:34,640 Speaker 1: a warning, but it seems like it was instruction manager. 468 00:24:34,640 --> 00:24:36,560 Speaker 1: They've done that exactly, and some of the things they 469 00:24:36,600 --> 00:24:37,919 Speaker 1: talked about in the book are the things that we 470 00:24:37,960 --> 00:24:43,239 Speaker 1: have today, such as facial recognition, data mining tools and 471 00:24:43,280 --> 00:24:46,680 Speaker 1: basically what China has done. China has created a surveillance 472 00:24:46,720 --> 00:24:51,159 Speaker 1: state using a network of surveillance cameras everywhere, facial recognition technology, 473 00:24:51,920 --> 00:24:56,480 Speaker 1: data collection, and our own US companies are on board 474 00:24:56,480 --> 00:24:58,360 Speaker 1: with that. You know, Google, Facebook do the same thing. 475 00:24:58,760 --> 00:25:01,480 Speaker 1: I just flew in from space a week ago, and 476 00:25:03,600 --> 00:25:08,040 Speaker 1: when I went through customs. I'm a frequent traveler, so 477 00:25:08,240 --> 00:25:10,600 Speaker 1: I have a Global Entry so that means I'm in 478 00:25:10,600 --> 00:25:13,080 Speaker 1: a database and I'm approved, which means I get through 479 00:25:13,080 --> 00:25:15,080 Speaker 1: the border faster because I've taken the time to go 480 00:25:15,080 --> 00:25:18,160 Speaker 1: through this extra screening. And when I went through Global Entry, 481 00:25:18,840 --> 00:25:22,040 Speaker 1: I didn't even have to pull my passport out as 482 00:25:22,080 --> 00:25:25,040 Speaker 1: I walked through the line. It just grabbed my face 483 00:25:25,160 --> 00:25:28,239 Speaker 1: and approved me and allowed me to go through. Was 484 00:25:28,600 --> 00:25:31,720 Speaker 1: pretty interesting. But this is the technology that was talked 485 00:25:31,760 --> 00:25:34,040 Speaker 1: about nineteen eighty four. It's being used, it's being weaponized 486 00:25:34,040 --> 00:25:36,240 Speaker 1: against people in China, and we're having it today. In 487 00:25:36,280 --> 00:25:39,119 Speaker 1: the movie Minority Report with Tom Cruise, there was a 488 00:25:39,160 --> 00:25:41,080 Speaker 1: lot of things in that movie that have come to pass, 489 00:25:42,040 --> 00:25:45,560 Speaker 1: specifically retinal scanning, which we see all over the news 490 00:25:45,560 --> 00:25:47,639 Speaker 1: today with this world coin. We'll talk more about that later, 491 00:25:48,560 --> 00:25:51,159 Speaker 1: but they had something called pre crime, and basically the 492 00:25:51,200 --> 00:25:52,760 Speaker 1: premise of that movie was that we were going to 493 00:25:52,800 --> 00:25:54,960 Speaker 1: try to catch people before they did the crime, so 494 00:25:54,960 --> 00:25:57,200 Speaker 1: then they they didn't do the crime. Problem is, in 495 00:25:57,240 --> 00:25:59,480 Speaker 1: the United States, we have something called a rule of law, 496 00:25:59,520 --> 00:26:01,720 Speaker 1: this a pesky rule of law, and that is that 497 00:26:01,760 --> 00:26:06,119 Speaker 1: you're innocent until proven guilty. So just because you potentially 498 00:26:06,200 --> 00:26:09,600 Speaker 1: might could maybe one day potentially do something criminally. It 499 00:26:09,600 --> 00:26:11,879 Speaker 1: doesn't mean you are a criminal today. But the purmise 500 00:26:11,880 --> 00:26:13,280 Speaker 1: of that movie is that we could catch him before 501 00:26:13,280 --> 00:26:16,119 Speaker 1: they did that. But now we see that. Now we 502 00:26:16,160 --> 00:26:20,680 Speaker 1: see predictive policing software like preadpole. It uses historical crime 503 00:26:20,760 --> 00:26:24,920 Speaker 1: data to predict where crimes are likely to occur. Right, 504 00:26:25,320 --> 00:26:28,640 Speaker 1: it raises all types of ethical concerns, But yet we're 505 00:26:28,640 --> 00:26:30,760 Speaker 1: seeing it. We're seeing it being used in LA for 506 00:26:31,160 --> 00:26:37,160 Speaker 1: parking tickets, We're seeing it being used for predicting driving patterns. 507 00:26:37,440 --> 00:26:39,959 Speaker 1: You know, recently in New York they managed to identify 508 00:26:39,960 --> 00:26:43,879 Speaker 1: and apprehend a drug trafficker seemingly by magic, but it 509 00:26:43,960 --> 00:26:48,880 Speaker 1: wasn't magic. Instead, it was through AI and surveillance and 510 00:26:49,200 --> 00:26:51,959 Speaker 1: they were able to find him and apprehend him. So 511 00:26:52,359 --> 00:26:54,800 Speaker 1: we're seeing this case after case after case of it 512 00:26:54,880 --> 00:26:56,640 Speaker 1: being used against us. Of course, like I said, China 513 00:26:56,800 --> 00:26:59,879 Speaker 1: social credit CORSE system is the biggest case of that yet. 514 00:27:00,359 --> 00:27:02,960 Speaker 1: But I want to talk about where this is going. 515 00:27:03,000 --> 00:27:05,520 Speaker 1: I want to talk about some of the policies that 516 00:27:05,560 --> 00:27:07,720 Speaker 1: are being put into place that I think are very 517 00:27:07,840 --> 00:27:13,600 Speaker 1: very dangerous, specifically dangerous because of like being the luedite 518 00:27:13,760 --> 00:27:16,560 Speaker 1: preventing this progress from happening that we need it. If 519 00:27:16,600 --> 00:27:19,280 Speaker 1: you're just tuning in, you're listening to the Mark Maas Show. 520 00:27:19,320 --> 00:27:21,480 Speaker 1: Of course, as always talking about the way the world 521 00:27:21,520 --> 00:27:24,440 Speaker 1: is changing, as it's breaking apart through the lens of politics, finance, 522 00:27:24,480 --> 00:27:27,719 Speaker 1: and technology, but we're honing in on the technology piece today. 523 00:27:27,960 --> 00:27:29,200 Speaker 1: Somebody to come back. I'm going to talk about some 524 00:27:29,200 --> 00:27:30,800 Speaker 1: of the policies, some of the problems, some of the 525 00:27:30,880 --> 00:27:34,000 Speaker 1: dangers there that I see, and where I think this 526 00:27:34,040 --> 00:27:35,240 Speaker 1: is going. You don't want to miss it. I'll be 527 00:27:35,280 --> 00:27:36,680 Speaker 1: back with all that and more in just a second. 528 00:27:36,760 --> 00:27:44,959 Speaker 1: Don't go away. I'll be your backup. All right, welcome back. 529 00:27:45,000 --> 00:27:46,760 Speaker 1: If you're just tune in, you're listening to the Mark 530 00:27:46,800 --> 00:27:50,240 Speaker 1: Maas Show, and we're talking about disruptive technology. We're talking 531 00:27:50,240 --> 00:27:51,880 Speaker 1: about how the world is changing, and we're talking about 532 00:27:51,880 --> 00:27:54,040 Speaker 1: how technology is driving that change. And of course we've 533 00:27:54,040 --> 00:27:57,720 Speaker 1: been recapping all the way back from the fourteen hundreds 534 00:27:57,920 --> 00:28:00,960 Speaker 1: and recapping all the technology that has change the world, 535 00:28:01,320 --> 00:28:04,000 Speaker 1: how people have always been fearing it and fighting it, 536 00:28:04,280 --> 00:28:07,600 Speaker 1: and how it's actually been a net positive, and how 537 00:28:07,600 --> 00:28:10,240 Speaker 1: we're witnessing a new technological revolution and people are also 538 00:28:10,320 --> 00:28:13,520 Speaker 1: fearing and fighting it, and if history is any indication, 539 00:28:13,880 --> 00:28:15,639 Speaker 1: it's going to be a very good thing for us 540 00:28:15,800 --> 00:28:18,439 Speaker 1: after we get over the fear. But the problem is 541 00:28:18,880 --> 00:28:21,280 Speaker 1: one thing I would say real quick. First of all, 542 00:28:21,320 --> 00:28:23,560 Speaker 1: if you've missed any of that, you missed a lot. 543 00:28:24,000 --> 00:28:25,840 Speaker 1: But go catch me on the podcast. Just search the 544 00:28:25,880 --> 00:28:27,840 Speaker 1: Mark Mas Show and a favorite podcast player, or go 545 00:28:27,880 --> 00:28:30,399 Speaker 1: to YouTube under Market Disruptors and you can watch me there. 546 00:28:31,240 --> 00:28:33,080 Speaker 1: You can tune into that. But what i'd say is 547 00:28:33,119 --> 00:28:35,439 Speaker 1: that one thing is that the world has changed. And 548 00:28:35,480 --> 00:28:37,480 Speaker 1: of course you obviously know that, but what I mean 549 00:28:37,520 --> 00:28:40,239 Speaker 1: more specifically is we live in a much different time. 550 00:28:40,320 --> 00:28:43,920 Speaker 1: So for example, you know, when the Industrial Revolution happened, 551 00:28:44,040 --> 00:28:46,720 Speaker 1: everybody lived on the farms in the cottage industry. And 552 00:28:46,760 --> 00:28:49,400 Speaker 1: then when the factories were made and we had machines 553 00:28:49,400 --> 00:28:50,800 Speaker 1: that could do the work of five thousand men, it 554 00:28:50,800 --> 00:28:54,959 Speaker 1: displaced a lot of jobs. It did when the car, 555 00:28:55,080 --> 00:28:58,080 Speaker 1: when electricity came, it displaced a lot of jobs. All 556 00:28:58,080 --> 00:29:00,080 Speaker 1: the candle makers were put out of jobs. When the 557 00:29:00,120 --> 00:29:02,280 Speaker 1: automobile was made, it displaced a lot of jobs. All 558 00:29:02,280 --> 00:29:05,200 Speaker 1: the buggy makers were put out of work. So technology 559 00:29:05,280 --> 00:29:08,960 Speaker 1: always displaces, it always gets rid of it. Destroys cbstruction, 560 00:29:09,040 --> 00:29:12,240 Speaker 1: It destroys those old ways. What do those people do 561 00:29:12,280 --> 00:29:15,200 Speaker 1: once they lose their jobs, Well, it turns out they 562 00:29:15,520 --> 00:29:18,640 Speaker 1: do something else. They learn a new skill and they 563 00:29:18,640 --> 00:29:20,920 Speaker 1: do something else. Computers are going to put everyone out 564 00:29:20,920 --> 00:29:23,080 Speaker 1: of work, Well they put up. They put a lot 565 00:29:23,080 --> 00:29:24,520 Speaker 1: of people out of work, but they created a bunch 566 00:29:24,560 --> 00:29:27,760 Speaker 1: of new jobs. The reason why I think we're a 567 00:29:27,880 --> 00:29:33,440 Speaker 1: little bit different today is because I'm trying to think 568 00:29:33,480 --> 00:29:34,720 Speaker 1: of the best way to say it. I'm just gonna 569 00:29:34,720 --> 00:29:36,840 Speaker 1: say it. I'll be blunt, because we have a bunch 570 00:29:36,880 --> 00:29:40,360 Speaker 1: of people that are uncapable, incapable of taking care of themselves. 571 00:29:40,480 --> 00:29:42,800 Speaker 1: We have created a welfare state, and we've created a 572 00:29:42,920 --> 00:29:49,120 Speaker 1: society that continually takes blame away, or actually say takes 573 00:29:49,160 --> 00:29:52,800 Speaker 1: responsibility away, takes agency away from individuals and tells them 574 00:29:52,840 --> 00:29:56,760 Speaker 1: it's not your fault. You can't get ahead. You're gay, 575 00:29:56,880 --> 00:30:01,160 Speaker 1: you're you're a woman, you're a minority, or technology, whatever 576 00:30:01,200 --> 00:30:03,800 Speaker 1: it may be, it's not your fault. There's nothing you 577 00:30:03,880 --> 00:30:07,280 Speaker 1: can do. You need me, the state, to now come 578 00:30:07,280 --> 00:30:10,160 Speaker 1: in and take care of you. I'll give you welfare, 579 00:30:10,600 --> 00:30:13,280 Speaker 1: I'll give you a house, I'll give you food, I'll 580 00:30:13,280 --> 00:30:16,040 Speaker 1: give you now it's called UBI universal Basic income. So 581 00:30:16,120 --> 00:30:19,600 Speaker 1: now people are arguing that we need universal basic income 582 00:30:19,880 --> 00:30:22,600 Speaker 1: because AI is going to replace so many jobs. There 583 00:30:22,600 --> 00:30:24,960 Speaker 1: won't be enough jobs to do, and so what will 584 00:30:24,960 --> 00:30:27,120 Speaker 1: these people do. Well, we must give them UBI. That 585 00:30:27,120 --> 00:30:29,360 Speaker 1: means the government should just pay everybody to not work 586 00:30:29,400 --> 00:30:31,520 Speaker 1: and that will solve the problem. But you see in 587 00:30:31,600 --> 00:30:34,720 Speaker 1: times past, when the industrial revolution took out the farmers 588 00:30:35,000 --> 00:30:37,520 Speaker 1: and the candlemakers were lost their jobs and the buggy 589 00:30:37,600 --> 00:30:40,080 Speaker 1: makers lost their jobs, we didn't have that welfare state, 590 00:30:40,560 --> 00:30:43,840 Speaker 1: and so people had to go learn a new skill. 591 00:30:44,800 --> 00:30:47,200 Speaker 1: Like I said, computers got rid of lots of jobs, 592 00:30:47,320 --> 00:30:50,560 Speaker 1: but they created lots of jobs. AI is going to 593 00:30:50,560 --> 00:30:53,000 Speaker 1: get rid of lots of jobs. It's going to create 594 00:30:53,160 --> 00:30:56,320 Speaker 1: a lot of jobs. That's how it works. The problem 595 00:30:56,400 --> 00:30:59,280 Speaker 1: is is that people have to go shoot, I should 596 00:30:59,560 --> 00:31:02,800 Speaker 1: learn a new skill, and that's going to take some effort, 597 00:31:03,000 --> 00:31:05,120 Speaker 1: and I don't know if I want to do effort. 598 00:31:05,440 --> 00:31:07,400 Speaker 1: If the government's just going to pay me to do nothing, 599 00:31:07,520 --> 00:31:09,840 Speaker 1: then I should just do that. And so I do 600 00:31:09,880 --> 00:31:13,800 Speaker 1: believe we're in a different place today, although it's always 601 00:31:13,800 --> 00:31:15,959 Speaker 1: been the case, we're in a different place to day 602 00:31:15,960 --> 00:31:19,040 Speaker 1: because people the way that society is set up today. 603 00:31:19,040 --> 00:31:21,800 Speaker 1: We don't have people that take personal responsibility because society 604 00:31:21,800 --> 00:31:25,640 Speaker 1: tells them not to, which is why unfortunately you have 605 00:31:26,120 --> 00:31:30,000 Speaker 1: people like you know, Jordan Peterson or Andrew Tate being 606 00:31:30,040 --> 00:31:35,560 Speaker 1: demonized when they tell people to be strong, take personal responsibility. 607 00:31:35,600 --> 00:31:38,160 Speaker 1: It's up to you to make your life better. I 608 00:31:38,280 --> 00:31:40,480 Speaker 1: was just a couple of days ago, I was out 609 00:31:40,480 --> 00:31:44,959 Speaker 1: in Arizona in Phoenix, Arizona with Robert Kiyosaki, and I 610 00:31:45,000 --> 00:31:48,640 Speaker 1: met with another girl afterwards, this girl Anne, who I'm 611 00:31:48,640 --> 00:31:51,720 Speaker 1: going to have on the show here soon. Anne Atkinson. 612 00:31:51,720 --> 00:31:54,680 Speaker 1: Shout out to Anne and she worked for Arizona State 613 00:31:54,760 --> 00:31:57,560 Speaker 1: University and she hosted an event at Arizona State University 614 00:31:57,600 --> 00:32:01,720 Speaker 1: called Health, Wealth and Happiness. She'd been there for a 615 00:32:01,720 --> 00:32:05,160 Speaker 1: couple years. She's a very successful business person, and she 616 00:32:05,280 --> 00:32:07,959 Speaker 1: decided to now since she's achieved some success. She was 617 00:32:08,280 --> 00:32:11,720 Speaker 1: working at her alma mater to run business programs for 618 00:32:11,840 --> 00:32:14,680 Speaker 1: free to help students make it in the real world, 619 00:32:15,240 --> 00:32:18,320 Speaker 1: and she would teach things like personal responsibility and how 620 00:32:18,360 --> 00:32:21,280 Speaker 1: to use credit and things like that. So she decided 621 00:32:21,320 --> 00:32:24,320 Speaker 1: to have this event at Arizona State University called Health, 622 00:32:24,440 --> 00:32:28,200 Speaker 1: Wealth and Happiness. Oh my gosh, how dare you teach 623 00:32:28,240 --> 00:32:32,320 Speaker 1: people about those things? And this school came out and 624 00:32:32,560 --> 00:32:35,280 Speaker 1: just raged against this, tried to shut down the event. 625 00:32:36,000 --> 00:32:38,600 Speaker 1: Boycotted it like thirty seven out of like forty five 626 00:32:38,680 --> 00:32:41,960 Speaker 1: something like that of the school board. Faculty wrote letters 627 00:32:41,960 --> 00:32:44,120 Speaker 1: trying to stop it. They had protests trying to block it. 628 00:32:44,440 --> 00:32:48,440 Speaker 1: How dare you talk about health, wealth and happiness. Wow, 629 00:32:49,440 --> 00:32:51,200 Speaker 1: that's scary. That's where we're at. I'm going to have 630 00:32:51,200 --> 00:32:52,760 Speaker 1: her on We're going to talk about that more in detail. 631 00:32:52,840 --> 00:32:54,959 Speaker 1: But anyway, so this is where the world is at. 632 00:32:55,120 --> 00:32:57,800 Speaker 1: And what's scary about this is we have at a 633 00:32:57,840 --> 00:33:00,560 Speaker 1: time like the Luddites, how stupid they look. Today the 634 00:33:00,600 --> 00:33:03,600 Speaker 1: seamstresses looks stupid trying to stop the sewing machine. We 635 00:33:03,640 --> 00:33:05,920 Speaker 1: have the same thing today, and even worse, we have 636 00:33:06,000 --> 00:33:08,680 Speaker 1: politicians in the United States that are making laws and 637 00:33:08,760 --> 00:33:12,600 Speaker 1: rules and regulations. They're luod Heites, and they're so old 638 00:33:13,200 --> 00:33:16,080 Speaker 1: they don't even know what they're talking about. So I'm 639 00:33:16,160 --> 00:33:18,920 Speaker 1: sorry if you're a great grandparent, I'm sorry if you're 640 00:33:18,960 --> 00:33:22,280 Speaker 1: seventy or eighty. I don't mean it offensively, but you know, 641 00:33:22,520 --> 00:33:25,120 Speaker 1: when you're eighty nine years old or eighty four years old, 642 00:33:25,440 --> 00:33:28,320 Speaker 1: you just don't understand technology like a eighteen or twenty 643 00:33:28,400 --> 00:33:30,280 Speaker 1: year old, you just don't. The eighteen and twenty year 644 00:33:30,320 --> 00:33:32,240 Speaker 1: old just grew up with it. Like my daughter just 645 00:33:32,240 --> 00:33:34,520 Speaker 1: went around and she was a kid, every screen was 646 00:33:34,520 --> 00:33:36,000 Speaker 1: a touch screen. She thought she would always try and 647 00:33:36,000 --> 00:33:37,440 Speaker 1: touch screens, so that she just thought that's how it was. 648 00:33:38,160 --> 00:33:40,080 Speaker 1: So they grow up with it. It's native for them, 649 00:33:40,080 --> 00:33:41,800 Speaker 1: and when you're eighty, it's just not and you just 650 00:33:41,800 --> 00:33:44,320 Speaker 1: haven't spent the time, not that you're not capable of learning, 651 00:33:44,320 --> 00:33:46,800 Speaker 1: just haven't spent the time doing it. But the problem 652 00:33:46,880 --> 00:33:48,760 Speaker 1: is is that we have our leaders that are that 653 00:33:49,000 --> 00:33:52,120 Speaker 1: old who don't understand this technology, the lud heightes, and 654 00:33:52,160 --> 00:33:54,600 Speaker 1: they're trying to pass laws to prevent it from happening. 655 00:33:54,920 --> 00:33:57,040 Speaker 1: And that is what's going to affect my kids and 656 00:33:57,120 --> 00:34:01,400 Speaker 1: my grandkids. The policy making a round disruptive tech is 657 00:34:01,440 --> 00:34:05,600 Speaker 1: the problem. And when the Internet happened, they actually passed laws, literally, 658 00:34:05,640 --> 00:34:09,200 Speaker 1: the US passed laws to allow the Internet to happen, 659 00:34:09,480 --> 00:34:12,799 Speaker 1: and they gave it immunity from lawsuits and taxes and 660 00:34:12,800 --> 00:34:15,080 Speaker 1: things like that so it could flourish and grow. But 661 00:34:15,120 --> 00:34:16,960 Speaker 1: now they're taking the opposite stance. Now they're trying to 662 00:34:17,000 --> 00:34:19,200 Speaker 1: pass laws to stop it instead of passing laws to 663 00:34:19,320 --> 00:34:22,319 Speaker 1: allow it, or they pass laws to prevent other people 664 00:34:22,320 --> 00:34:24,279 Speaker 1: from stopping it. Now they want to pass laws to 665 00:34:24,280 --> 00:34:29,160 Speaker 1: stop it. In the United States, the Vice President Kamala Harris, 666 00:34:29,360 --> 00:34:33,640 Speaker 1: the person who literally can't even put a coherent sentence together. Literally, 667 00:34:33,680 --> 00:34:36,080 Speaker 1: And I'm sorry, but watch some of our videos you 668 00:34:36,080 --> 00:34:38,680 Speaker 1: know what I'm talking about. She's in charge of AI 669 00:34:38,840 --> 00:34:41,120 Speaker 1: she's the AI zar. Like the person who can't even 670 00:34:41,120 --> 00:34:44,520 Speaker 1: put a sentence together. We have, you know, President Biden 671 00:34:44,560 --> 00:34:47,080 Speaker 1: who's eighty years old and who can't even walk up 672 00:34:47,080 --> 00:34:49,160 Speaker 1: a set of stairs and can't even put a sentence together, 673 00:34:49,440 --> 00:34:52,680 Speaker 1: like literally. And I just spent almost four weeks in 674 00:34:52,719 --> 00:34:55,920 Speaker 1: Europe traveling, and I can tell you what the world thinks. 675 00:34:56,160 --> 00:34:58,600 Speaker 1: They are not brainwashed like Americans. They all understand that 676 00:34:58,640 --> 00:35:00,959 Speaker 1: we have a president that can't speak, that's lost his mind. 677 00:35:01,000 --> 00:35:04,200 Speaker 1: And it's sad. It's sad my grandfather did and it's 678 00:35:04,200 --> 00:35:06,040 Speaker 1: sad to watch. But that's where we're at. But it's 679 00:35:06,040 --> 00:35:11,239 Speaker 1: not just them. Yesterday we had Mitch McConnell, who's one 680 00:35:11,239 --> 00:35:14,360 Speaker 1: of the top people in Congress, making a statement, a 681 00:35:14,400 --> 00:35:17,040 Speaker 1: public statement, and right in the middle of the statement 682 00:35:17,200 --> 00:35:20,759 Speaker 1: just froze up. He just stopped talking and all of 683 00:35:20,760 --> 00:35:22,200 Speaker 1: a sudden just like lost his mind. I don't know 684 00:35:22,200 --> 00:35:24,200 Speaker 1: if he had a stroke, like literally while it was 685 00:35:24,200 --> 00:35:26,640 Speaker 1: happening or what. He just stood there like a train 686 00:35:26,719 --> 00:35:28,160 Speaker 1: was about to hit him with his eyes wide open, 687 00:35:28,239 --> 00:35:29,799 Speaker 1: and they had to come grab him and take him 688 00:35:29,840 --> 00:35:35,520 Speaker 1: off the stage. We have Dianne Feinstein. She's ninety years old. 689 00:35:35,560 --> 00:35:37,799 Speaker 1: She disappeared, nobody knew where she was. She was in 690 00:35:37,800 --> 00:35:42,160 Speaker 1: the hospital. Well, she needs to step down from her post. 691 00:35:42,400 --> 00:35:44,640 Speaker 1: They brought her back and you can see videos of 692 00:35:44,640 --> 00:35:47,560 Speaker 1: them wheeling her in her wheelchair, and she has no 693 00:35:47,719 --> 00:35:50,200 Speaker 1: idea where she's at or what's going on, no idea, 694 00:35:50,320 --> 00:35:53,200 Speaker 1: no idea at all. But yet they're pretending like weekend 695 00:35:53,239 --> 00:35:55,640 Speaker 1: at Bernie's, like she's still there. And there was a 696 00:35:55,640 --> 00:36:00,280 Speaker 1: clip yesterday of them holding a vote and they said, 697 00:36:00,320 --> 00:36:02,960 Speaker 1: say I so they told her, and she just repeated 698 00:36:03,000 --> 00:36:05,279 Speaker 1: what they said. She had no idea what she's voting on. 699 00:36:05,600 --> 00:36:09,440 Speaker 1: Mitch McConnell eighty one, Joe Biden eighty, Nancy Pelosi eighty three, 700 00:36:09,680 --> 00:36:13,359 Speaker 1: Maxine Waters, Head of the Financial Committee eighty four, Chuck 701 00:36:13,440 --> 00:36:17,880 Speaker 1: Grassley eighty nine. Dianne Feinstein ninety years old. I mean, 702 00:36:17,920 --> 00:36:20,839 Speaker 1: we got you know, klau Schwab eighty five, and these 703 00:36:20,880 --> 00:36:24,760 Speaker 1: are the ones passing these rules. And that's a big problem, 704 00:36:24,800 --> 00:36:28,920 Speaker 1: a big problem. So certainly we need term limits. Certainly 705 00:36:28,920 --> 00:36:31,239 Speaker 1: we need the average age of US fortune five hundred 706 00:36:31,280 --> 00:36:35,680 Speaker 1: CEO is fifty seven years old. Fifty seven. We need 707 00:36:35,719 --> 00:36:39,000 Speaker 1: to have a real serious conversation in this country about 708 00:36:39,040 --> 00:36:42,839 Speaker 1: that because we have very disruptive technology coming. It's going 709 00:36:42,880 --> 00:36:45,880 Speaker 1: to change the world in more ways than we know it. 710 00:36:45,880 --> 00:36:48,240 Speaker 1: It's going to be very dangerous in the wrong hands. 711 00:36:48,280 --> 00:36:51,160 Speaker 1: It would be very beneficial for most of humanity if 712 00:36:51,280 --> 00:36:55,360 Speaker 1: we do it right. However, with the policymakers that we 713 00:36:55,400 --> 00:36:58,160 Speaker 1: have in place, the led Heites of today, it could 714 00:36:58,200 --> 00:37:00,799 Speaker 1: be very dangerous. I'd love to know what you have 715 00:37:00,840 --> 00:37:05,080 Speaker 1: to think about that though, because it's a big deal now. 716 00:37:05,200 --> 00:37:06,600 Speaker 1: Like I said, I'd love to hear what you have 717 00:37:06,640 --> 00:37:08,880 Speaker 1: to think about this episode. Leave me a review, Please 718 00:37:09,120 --> 00:37:12,440 Speaker 1: send me a comment on social media at one Mark Moss, 719 00:37:12,600 --> 00:37:14,359 Speaker 1: ask me your question, tell me what you're thinking. I'd 720 00:37:14,360 --> 00:37:16,000 Speaker 1: love to connect with you. And that's what I got. 721 00:37:16,040 --> 00:37:16,960 Speaker 1: Thanks so much for listening.