1 00:00:00,240 --> 00:00:03,480 Speaker 1: Hello, and welcome to another episode of The Mark Moss Show, 2 00:00:03,480 --> 00:00:07,560 Speaker 1: where we talk about the decentralized revolution that is sweeping 3 00:00:07,600 --> 00:00:09,680 Speaker 1: the world right now. Of course, we always look at 4 00:00:09,680 --> 00:00:13,880 Speaker 1: it through the lens of politics, finance, and technology, because 5 00:00:13,960 --> 00:00:17,079 Speaker 1: those are the drivers of real change. And from a 6 00:00:17,239 --> 00:00:20,480 Speaker 1: cycle's perspective, looking back through thousands of years of history, 7 00:00:20,800 --> 00:00:23,560 Speaker 1: we can see that these are repeating cycles. On a 8 00:00:23,640 --> 00:00:26,400 Speaker 1: two hundred and fifty year timeframe, we have political revolutions, 9 00:00:26,440 --> 00:00:31,080 Speaker 1: eighty year timeframe, financial revolutions, fifty year timeframe, technological revolutions, 10 00:00:31,120 --> 00:00:36,199 Speaker 1: and all three are converging right now. Now. I've done 11 00:00:36,240 --> 00:00:38,800 Speaker 1: a lot of talk about this, and it's understand it's 12 00:00:38,840 --> 00:00:41,760 Speaker 1: important to understand this because it not only tells us 13 00:00:41,960 --> 00:00:44,600 Speaker 1: how we got here, more importantly tells us what's going 14 00:00:44,640 --> 00:00:47,239 Speaker 1: on right now. And even more importantly than that, it 15 00:00:47,360 --> 00:00:49,720 Speaker 1: tells us where we're going, what we can expect in 16 00:00:49,760 --> 00:00:51,680 Speaker 1: the future. And so it's important to look at that. 17 00:00:51,800 --> 00:00:54,160 Speaker 1: And you know, over the last two years or so, 18 00:00:54,200 --> 00:00:56,600 Speaker 1: I've done a lot of work on this, a lot 19 00:00:56,640 --> 00:00:59,160 Speaker 1: of work on the cycles. I've been on numerous shows 20 00:00:59,160 --> 00:01:02,520 Speaker 1: talking about the and so forth. I've even started writing 21 00:01:02,560 --> 00:01:06,280 Speaker 1: a book that is still in its emphasy stage. But 22 00:01:07,240 --> 00:01:09,760 Speaker 1: one of the topics that I really kind of go 23 00:01:09,840 --> 00:01:12,559 Speaker 1: into and where I think this is headed is something 24 00:01:12,600 --> 00:01:15,559 Speaker 1: I want to talk about today, and it's something really, 25 00:01:15,600 --> 00:01:19,880 Speaker 1: really big, and I've framed it up in a few interviews. 26 00:01:19,880 --> 00:01:21,959 Speaker 1: One of the best interviews I had it's on a 27 00:01:22,000 --> 00:01:25,560 Speaker 1: podcast called What Bitcoin Did. You could just search Mark 28 00:01:25,560 --> 00:01:27,640 Speaker 1: Moss What Bitcoin Did? And we've done a three part series. 29 00:01:27,680 --> 00:01:31,600 Speaker 1: But the first one is the Battle for the fate 30 00:01:31,720 --> 00:01:34,959 Speaker 1: of humanity. And I know this sounds like a really 31 00:01:34,959 --> 00:01:38,440 Speaker 1: big hyperbolee, like come on, Mark, You're like, you're what 32 00:01:38,480 --> 00:01:42,920 Speaker 1: are you talking about? But I believe that the battle 33 00:01:43,480 --> 00:01:47,200 Speaker 1: for the fate of humanity will be fought over the 34 00:01:47,200 --> 00:01:49,600 Speaker 1: next couple of years. And so what do I mean 35 00:01:49,640 --> 00:01:52,440 Speaker 1: by that, Well, if you go back through thousands of 36 00:01:52,520 --> 00:01:55,320 Speaker 1: years of history, you'll see that it's just a repeating 37 00:01:55,400 --> 00:01:57,960 Speaker 1: cycle over and over and over where we have humans 38 00:01:57,960 --> 00:02:01,640 Speaker 1: have freedom, and then a group of people comes and 39 00:02:01,720 --> 00:02:05,520 Speaker 1: oppresses them, and eventually the oppression gets so bad that 40 00:02:05,560 --> 00:02:09,919 Speaker 1: there's a revolution, and then there's freedom again, and then 41 00:02:10,000 --> 00:02:14,160 Speaker 1: eventually another group comes in him oppresses him, oppression gets 42 00:02:14,160 --> 00:02:16,600 Speaker 1: too big, and then eventually there's revolution and it just 43 00:02:16,600 --> 00:02:18,880 Speaker 1: repeats over and over and over and over. Now it 44 00:02:19,520 --> 00:02:21,640 Speaker 1: typically happens on about a two hundred forty year timeframe, 45 00:02:23,040 --> 00:02:24,799 Speaker 1: and we can really look at on like an eighty 46 00:02:24,880 --> 00:02:28,200 Speaker 1: year timeframe. So in an eighty an eighty four year timeframe, 47 00:02:28,240 --> 00:02:31,280 Speaker 1: there's what we call a populist uprising or a regime 48 00:02:31,440 --> 00:02:34,480 Speaker 1: change cycle. So about eighty four years ago was the 49 00:02:34,560 --> 00:02:36,880 Speaker 1: end of World War Two. We had Hitler, we had 50 00:02:36,960 --> 00:02:41,200 Speaker 1: Mussolini in the US, we had FDR's New Deal. About 51 00:02:41,240 --> 00:02:44,480 Speaker 1: eighty four years before that, Karl Marx wrote the famous 52 00:02:44,639 --> 00:02:48,200 Speaker 1: Communist Manifesto, which, by the way, I've written a rebuttal 53 00:02:48,200 --> 00:02:51,240 Speaker 1: to that. It's called The Uncommunist Manifesto. Check it out 54 00:02:51,240 --> 00:02:53,800 Speaker 1: on Amazon. Highly recommend that you read that book, The 55 00:02:54,040 --> 00:02:58,079 Speaker 1: Uncommunist Manifesto. It came out on Amazon last August. Check 56 00:02:58,080 --> 00:03:00,919 Speaker 1: it out. It's about an hour hour and read and 57 00:03:01,080 --> 00:03:03,560 Speaker 1: leave me a comment if you do. But the car 58 00:03:03,639 --> 00:03:06,920 Speaker 1: Marks wrote the Communist Manifesto, which led to the largest 59 00:03:07,000 --> 00:03:12,839 Speaker 1: revolution in European history. So happens eighty four year times, 60 00:03:13,080 --> 00:03:16,440 Speaker 1: but on two three times eighty four equals two hundred 61 00:03:16,440 --> 00:03:19,000 Speaker 1: and fifty two. That's the big ones. So two hundred 62 00:03:19,000 --> 00:03:22,280 Speaker 1: fifty years ago was the American Revolution, the French Revolution. 63 00:03:22,360 --> 00:03:25,440 Speaker 1: Two hundrety years before that was the Protestant Reformation. And 64 00:03:25,480 --> 00:03:29,120 Speaker 1: so we see these massive revolutions that happen. But the 65 00:03:29,160 --> 00:03:32,800 Speaker 1: problem that I see is that we can't just look 66 00:03:32,840 --> 00:03:35,280 Speaker 1: at political revolutions on their own. We also have to 67 00:03:35,280 --> 00:03:37,600 Speaker 1: look at financial and we also have to look at 68 00:03:37,640 --> 00:03:40,000 Speaker 1: the technology. And the reason I have to look at 69 00:03:40,040 --> 00:03:44,080 Speaker 1: the technology is because technology is what changes things. Technology 70 00:03:44,240 --> 00:03:46,720 Speaker 1: changes humanity. It changes the way that we organize, change 71 00:03:46,720 --> 00:03:48,480 Speaker 1: the way the communicate, change the way we do commerce, 72 00:03:48,560 --> 00:03:51,560 Speaker 1: changes the way we do everything. And it really has 73 00:03:51,600 --> 00:03:57,520 Speaker 1: this power to create centralization aspects or decentralization aspects. And 74 00:03:57,600 --> 00:04:01,680 Speaker 1: so the technologies that were developed being right now, that 75 00:04:01,760 --> 00:04:05,480 Speaker 1: are being used today and are becoming more and more prevalent, 76 00:04:05,760 --> 00:04:08,160 Speaker 1: and over the next couple of years, I believe could 77 00:04:08,160 --> 00:04:15,240 Speaker 1: achieve some sort of supremacy. I think these technologies could 78 00:04:15,880 --> 00:04:19,039 Speaker 1: change or could end the cycles that have repeated for 79 00:04:19,080 --> 00:04:22,240 Speaker 1: thousands of years. Instead of this, as I said this, 80 00:04:22,400 --> 00:04:27,239 Speaker 1: thousands of years of history of oppression, revolution, freedom, oppression, revolution, freedom, impression, revolution, freedom, 81 00:04:27,360 --> 00:04:33,960 Speaker 1: I think that cycle ends and we either end up 82 00:04:34,120 --> 00:04:38,880 Speaker 1: in permanent slavery with no revolution in sight. Because technology 83 00:04:38,920 --> 00:04:42,480 Speaker 1: will create a way to prevent any type of revolution 84 00:04:42,600 --> 00:04:48,200 Speaker 1: or uprising from ever happening again, or or that doesn't work, 85 00:04:49,000 --> 00:04:52,400 Speaker 1: or we win or we get rid of that and 86 00:04:52,520 --> 00:04:55,440 Speaker 1: we never have to worry about that oppression ever again. 87 00:04:56,839 --> 00:04:59,360 Speaker 1: That's the battle, and it's happening, and it will happen 88 00:04:59,400 --> 00:05:01,720 Speaker 1: over the next couple years. It's happening right now, this 89 00:05:01,800 --> 00:05:03,719 Speaker 1: very minute, and that's what we're gonna talk about today. 90 00:05:03,760 --> 00:05:05,960 Speaker 1: I'm gonna break all of this down to show you 91 00:05:06,000 --> 00:05:09,440 Speaker 1: where we're at right now and what the race is, 92 00:05:09,920 --> 00:05:12,160 Speaker 1: what the battle is, and what's kind of happened over 93 00:05:12,200 --> 00:05:14,200 Speaker 1: the next couple of years, so you can understand exactly 94 00:05:14,240 --> 00:05:17,160 Speaker 1: what this is. I think this is the most important 95 00:05:17,200 --> 00:05:19,880 Speaker 1: topic to talk about period, which of course is what 96 00:05:19,960 --> 00:05:21,880 Speaker 1: I've been talking about it for two years. This is 97 00:05:21,880 --> 00:05:24,640 Speaker 1: the most important topic because, as I said, I think 98 00:05:24,640 --> 00:05:27,640 Speaker 1: this changes the cycle of humanity. So you know, for me, 99 00:05:28,640 --> 00:05:31,839 Speaker 1: I'm good man, I'm good I got enough money, I'm 100 00:05:31,839 --> 00:05:34,960 Speaker 1: old enough. I could just go ride this thing out right, 101 00:05:35,720 --> 00:05:39,279 Speaker 1: I'll be dead, let other people deal with it. But 102 00:05:39,360 --> 00:05:42,160 Speaker 1: that ain't cool because I got kids, and hopefully one 103 00:05:42,240 --> 00:05:45,360 Speaker 1: day i'll have grandkids, and you probably have kids and 104 00:05:45,400 --> 00:05:47,679 Speaker 1: hopefully we'll have grandkids one day, and I care about 105 00:05:47,720 --> 00:05:49,640 Speaker 1: all of them. I care about the people that aren't 106 00:05:49,640 --> 00:05:52,440 Speaker 1: even born yet. And I want to change this battle. 107 00:05:52,480 --> 00:05:55,520 Speaker 1: I want to do my part to shift this power, 108 00:05:55,880 --> 00:05:58,760 Speaker 1: this balance of power that's leading into this battle for 109 00:05:58,760 --> 00:06:00,680 Speaker 1: the fate of humanity. So let's talk about this four minutes. 110 00:06:00,680 --> 00:06:02,960 Speaker 1: So what am I talking about. Well, I'm talking about 111 00:06:04,000 --> 00:06:08,400 Speaker 1: technology and how it reshapes society. And I'm talking about 112 00:06:08,440 --> 00:06:10,720 Speaker 1: this technology that's going into place right now that could 113 00:06:10,760 --> 00:06:14,480 Speaker 1: potentially put us into this matrix type world where we're 114 00:06:14,600 --> 00:06:17,600 Speaker 1: never able to come out of it. So, for example, 115 00:06:17,680 --> 00:06:22,239 Speaker 1: we know that Facebook has been using AI algorithms since 116 00:06:22,279 --> 00:06:25,640 Speaker 1: two sixteen, maybe sooner, but we know at least twenty 117 00:06:25,880 --> 00:06:29,960 Speaker 1: sixteen to change the way we think. Specifically, they've run 118 00:06:30,080 --> 00:06:33,880 Speaker 1: lots of tests to change our emotions, to change our behaviors, 119 00:06:33,880 --> 00:06:36,360 Speaker 1: to make us sad, to make us happy, to make 120 00:06:36,440 --> 00:06:39,520 Speaker 1: us stressed out, whatever it is. And they've done lots 121 00:06:39,520 --> 00:06:41,800 Speaker 1: of tests on this. And so they show you certain 122 00:06:41,800 --> 00:06:45,680 Speaker 1: types of content and then waterfall that content to kind 123 00:06:45,680 --> 00:06:47,920 Speaker 1: of build and build a build to get certain emotions 124 00:06:47,960 --> 00:06:50,200 Speaker 1: out of you. So we know that we know they 125 00:06:50,240 --> 00:06:54,520 Speaker 1: can manipulate our feelings, but they also manipulate the data 126 00:06:54,560 --> 00:06:57,840 Speaker 1: that we see. So we know now. Mark Zuckerberg was 127 00:06:57,839 --> 00:07:03,320 Speaker 1: on Joe Rogan talking about how the FBI was working 128 00:07:03,400 --> 00:07:07,640 Speaker 1: with Facebook to censor information, so they don't want you 129 00:07:07,720 --> 00:07:10,760 Speaker 1: to see certain information, or they do want you to 130 00:07:10,800 --> 00:07:13,160 Speaker 1: see other information. We know that also the same thing 131 00:07:13,200 --> 00:07:15,240 Speaker 1: happened on Twitter. I've talked about it extensively on this 132 00:07:15,240 --> 00:07:18,160 Speaker 1: show with the Twitter file. Since Elon Musk has taken 133 00:07:18,160 --> 00:07:22,560 Speaker 1: over Twitter, he's basically opened up, pulled back the curtains, 134 00:07:22,720 --> 00:07:25,400 Speaker 1: and he's released tons and tons and tons of data 135 00:07:25,600 --> 00:07:31,640 Speaker 1: of actual text messages, emails, etc. Of government officials coercing 136 00:07:31,680 --> 00:07:35,880 Speaker 1: Twitter to change the way you think, to censor the 137 00:07:35,920 --> 00:07:39,040 Speaker 1: information that you see, to control the narrative, to take 138 00:07:39,120 --> 00:07:41,560 Speaker 1: people off that are saying things they don't want them 139 00:07:41,600 --> 00:07:44,400 Speaker 1: to hear. And so the problem is is that as 140 00:07:44,400 --> 00:07:47,120 Speaker 1: this technology grows, as we depend more and more on 141 00:07:47,160 --> 00:07:50,280 Speaker 1: technologies like social media and we're going to talk about 142 00:07:50,320 --> 00:07:53,760 Speaker 1: AI in a minute, as we depend more on these technologies, 143 00:07:53,920 --> 00:07:58,000 Speaker 1: the people that control them have massive amounts of control. 144 00:07:58,440 --> 00:08:03,160 Speaker 1: So how does oppression and then revolution happened. Well, people 145 00:08:03,240 --> 00:08:07,080 Speaker 1: living under heavy oppression aren't happy and they start talking 146 00:08:07,080 --> 00:08:11,360 Speaker 1: about it. They start seeing how other people are living 147 00:08:11,720 --> 00:08:13,880 Speaker 1: or how people lived in the past, and they wish 148 00:08:13,880 --> 00:08:17,440 Speaker 1: that they could have that themselves. If I could only 149 00:08:17,480 --> 00:08:19,200 Speaker 1: have that, if we could only go back to that time. 150 00:08:20,000 --> 00:08:22,360 Speaker 1: And then I start talking about it, and then those 151 00:08:22,480 --> 00:08:25,480 Speaker 1: ideas spread, and then other people hear what I'm talking about, 152 00:08:25,520 --> 00:08:27,120 Speaker 1: and then they also want to go back to that. 153 00:08:27,760 --> 00:08:30,560 Speaker 1: And so if they could keep us from ever seeing 154 00:08:31,320 --> 00:08:33,720 Speaker 1: how other people are living, if they could keep us 155 00:08:33,760 --> 00:08:36,640 Speaker 1: from ever remembering how it was in the good old days, 156 00:08:36,960 --> 00:08:39,720 Speaker 1: like changing history that they're doing now, if they could 157 00:08:39,760 --> 00:08:44,360 Speaker 1: prevent us from communicating and sharing those ideas with others, 158 00:08:44,720 --> 00:08:49,080 Speaker 1: they could prevent that revolution from ever happening again. And 159 00:08:49,160 --> 00:08:52,160 Speaker 1: it's just getting started. Wait till you hear about the 160 00:08:52,160 --> 00:08:56,960 Speaker 1: technology that's in place right now, already being used, and 161 00:08:57,080 --> 00:08:59,319 Speaker 1: what the plans are for this. If you're just tuning in, 162 00:08:59,360 --> 00:09:01,200 Speaker 1: you're listening to the Arms Show, we're talking about the 163 00:09:01,200 --> 00:09:04,600 Speaker 1: decentralized revolution, and I am shaping up what I am 164 00:09:04,640 --> 00:09:07,880 Speaker 1: calling the battle for the fate of humanity. It's that big. 165 00:09:08,800 --> 00:09:10,720 Speaker 1: And so I'm gonna break this down and explaining what 166 00:09:10,760 --> 00:09:13,320 Speaker 1: I mean, and I'm gonna leave you with hope because 167 00:09:13,640 --> 00:09:16,240 Speaker 1: I do believe that we win. I believe that we 168 00:09:16,280 --> 00:09:20,800 Speaker 1: have the tools. However, it's not guaranteed. It's a big road. 169 00:09:20,840 --> 00:09:22,160 Speaker 1: It's a long road ahead of us. And if we 170 00:09:22,160 --> 00:09:23,880 Speaker 1: do the work, I think we'll win. We have the 171 00:09:23,880 --> 00:09:26,240 Speaker 1: tools to do that. So I'm gonna break all of 172 00:09:26,240 --> 00:09:27,720 Speaker 1: this down for you. It's a big show. I'm gonna 173 00:09:27,720 --> 00:09:29,720 Speaker 1: be talking fast. You don't want to miss any of this. 174 00:09:29,800 --> 00:09:31,600 Speaker 1: So I'm gonna take a quick break, but don't go 175 00:09:31,640 --> 00:09:33,520 Speaker 1: away because I'm gonna be right back with more in 176 00:09:33,559 --> 00:09:37,000 Speaker 1: a second. Don't go away, all right, Welcome back. If 177 00:09:37,000 --> 00:09:39,160 Speaker 1: you're just tuning in, you're listening to the Mark Moss Show. 178 00:09:39,520 --> 00:09:41,760 Speaker 1: We talk about the decentralized revolution. We look at it 179 00:09:41,800 --> 00:09:45,720 Speaker 1: through lens of politics, finance, and technology, but today specifically, 180 00:09:46,000 --> 00:09:49,080 Speaker 1: we're talking about what I am calling the battle for 181 00:09:49,120 --> 00:09:53,960 Speaker 1: the fate of humanity. And that's big. It's really big, 182 00:09:54,200 --> 00:09:56,480 Speaker 1: and I mean it and this is what I mean. 183 00:09:56,520 --> 00:09:58,200 Speaker 1: And so I'm gonna break this down for you. So 184 00:09:58,240 --> 00:10:00,400 Speaker 1: I was talking about before the break, how tech knowledgy 185 00:10:00,480 --> 00:10:02,680 Speaker 1: is change you think and technology is at this place 186 00:10:02,720 --> 00:10:07,880 Speaker 1: now where the people that control this technology could prevent us, 187 00:10:07,960 --> 00:10:11,800 Speaker 1: the people, we the people from ever uprising against them. 188 00:10:11,880 --> 00:10:15,000 Speaker 1: Ever again, so I've kind of broken it down. Let's 189 00:10:15,040 --> 00:10:17,200 Speaker 1: let's talk about this. So we know I've talked about 190 00:10:17,240 --> 00:10:19,480 Speaker 1: many times. Unless you've been living under a rock, you 191 00:10:19,520 --> 00:10:25,439 Speaker 1: know this that China is a communist country. It's not controversial. 192 00:10:25,640 --> 00:10:29,559 Speaker 1: It's in the name CCB stands the C stands for communist, 193 00:10:30,360 --> 00:10:32,840 Speaker 1: and so of course you would expect them to have 194 00:10:32,920 --> 00:10:36,679 Speaker 1: all types of surveillance and control, which of course they do. 195 00:10:37,480 --> 00:10:40,360 Speaker 1: They have what's called a social credit score system, which 196 00:10:40,360 --> 00:10:41,760 Speaker 1: I'm sure you're familiar with. I'm not going to go 197 00:10:41,800 --> 00:10:44,719 Speaker 1: deep into that, but basically the real high level of 198 00:10:44,760 --> 00:10:47,160 Speaker 1: view of that is that they give you, just like 199 00:10:47,160 --> 00:10:49,200 Speaker 1: you have a credit score based off of how well 200 00:10:49,240 --> 00:10:51,520 Speaker 1: you pay your bills and don't do pay your bills, etc. 201 00:10:51,960 --> 00:10:53,360 Speaker 1: And they give your credit score, and then that credit 202 00:10:53,400 --> 00:10:56,480 Speaker 1: scord determines whether you can do certain things like get 203 00:10:56,480 --> 00:10:59,040 Speaker 1: a new credit card or buy a car. Well, they 204 00:10:59,080 --> 00:11:02,200 Speaker 1: have what's called US credit score, and very similar to 205 00:11:02,240 --> 00:11:06,640 Speaker 1: your regular credit score. It is a score that you 206 00:11:06,679 --> 00:11:11,640 Speaker 1: get individually that allows you to either get access permission 207 00:11:12,520 --> 00:11:15,960 Speaker 1: ability to do certain things. So for example, if I 208 00:11:16,080 --> 00:11:19,160 Speaker 1: do things that they deem to be bad socially, like 209 00:11:19,280 --> 00:11:23,120 Speaker 1: for example, I say mean things about the government, or 210 00:11:23,160 --> 00:11:25,520 Speaker 1: I say mean things about somebody else, or I don't 211 00:11:25,520 --> 00:11:29,200 Speaker 1: pay my electricity bill, all different types of categories they have. 212 00:11:29,400 --> 00:11:32,719 Speaker 1: Of course, mostly it's socially, mostly against the government. If 213 00:11:32,760 --> 00:11:35,400 Speaker 1: I do these types of things, my credit score, my 214 00:11:35,480 --> 00:11:38,920 Speaker 1: social credit score gets deemed, and my social credit score 215 00:11:38,920 --> 00:11:41,240 Speaker 1: could drop and drop and drop, and eventually it drops 216 00:11:41,240 --> 00:11:45,240 Speaker 1: so low that I'm not allowed to get a train ticket, 217 00:11:46,080 --> 00:11:48,800 Speaker 1: I'm not allowed to get a plane ticket, I'm not 218 00:11:48,840 --> 00:11:51,360 Speaker 1: allowed to buy certain things, I'm not allowed to travel, 219 00:11:51,400 --> 00:11:53,040 Speaker 1: I'm not allowed to do all types of things. Now, 220 00:11:54,360 --> 00:11:59,640 Speaker 1: this isn't like eventually it drop so low that most 221 00:11:59,679 --> 00:12:01,600 Speaker 1: people will ever drop that low. No, no, no, no no no. 222 00:12:02,000 --> 00:12:05,000 Speaker 1: In twenty eighteen, I believe it was something like thirty 223 00:12:05,000 --> 00:12:08,160 Speaker 1: five million people. And this is in twenty eighteen. Imagine 224 00:12:08,160 --> 00:12:10,439 Speaker 1: where it's at today. Here we are in twenty twenty three, 225 00:12:11,240 --> 00:12:13,320 Speaker 1: five years later. But in two thousand and eighteen, something 226 00:12:13,360 --> 00:12:17,040 Speaker 1: like thirty five million Chinese people who had been restricted 227 00:12:17,080 --> 00:12:20,000 Speaker 1: from buying a train ticket because their social credit score 228 00:12:20,040 --> 00:12:23,760 Speaker 1: is too low. I would imagine that's hundreds of millions 229 00:12:23,760 --> 00:12:27,520 Speaker 1: of people today. This isn't just like some little thing. No, no, 230 00:12:27,559 --> 00:12:29,559 Speaker 1: this is really big. Now. They've been doing this for 231 00:12:29,640 --> 00:12:32,080 Speaker 1: a long time, like I said, restricting people's every move 232 00:12:32,200 --> 00:12:33,920 Speaker 1: based off of the social credit score. Now, of course, 233 00:12:33,920 --> 00:12:36,160 Speaker 1: in order to get that social credit score, what do 234 00:12:36,200 --> 00:12:39,040 Speaker 1: they have to do, Well, they have to collect every 235 00:12:39,040 --> 00:12:42,320 Speaker 1: single piece of information on you. They need to know 236 00:12:42,800 --> 00:12:46,400 Speaker 1: every single thing that you search for online, every article 237 00:12:46,520 --> 00:12:49,480 Speaker 1: you read, everything that you look at, everything that you say, 238 00:12:49,960 --> 00:12:54,280 Speaker 1: all your communication online on social media, what you post online, 239 00:12:54,960 --> 00:12:57,480 Speaker 1: what you say between your friends, what you say via 240 00:12:57,559 --> 00:13:00,280 Speaker 1: text message, phone call, all of that data has to 241 00:13:00,280 --> 00:13:02,480 Speaker 1: be collected. Because, of course they don't collect the data, 242 00:13:02,559 --> 00:13:05,400 Speaker 1: how can they give you a rating. So China is 243 00:13:05,440 --> 00:13:09,920 Speaker 1: this giant surveillance state that collects all of this information 244 00:13:10,240 --> 00:13:14,800 Speaker 1: and then of course weaponizes that information on you against you, 245 00:13:15,200 --> 00:13:17,760 Speaker 1: and of course they do because they're a communist country. Now, 246 00:13:18,640 --> 00:13:20,760 Speaker 1: if that sounds good to you, well, then you can 247 00:13:20,800 --> 00:13:23,040 Speaker 1: just move to China. If it doesn't sound good to you, 248 00:13:23,280 --> 00:13:24,839 Speaker 1: like it doesn't sound good to me, then I certainly 249 00:13:24,840 --> 00:13:27,040 Speaker 1: don't want to be a Chinese citizen, And I certainly 250 00:13:27,080 --> 00:13:29,240 Speaker 1: don't want that coming to the Land of the Free, 251 00:13:29,400 --> 00:13:32,079 Speaker 1: to America, I certainly don't want that coming to anywhere 252 00:13:32,080 --> 00:13:35,640 Speaker 1: else in the world. However, some of the most influential 253 00:13:35,679 --> 00:13:40,199 Speaker 1: people in the world do like who well, like our 254 00:13:40,240 --> 00:13:43,840 Speaker 1: good old buddy everybody's favorite, James Bond Villain Clout Schwab, 255 00:13:44,200 --> 00:13:51,280 Speaker 1: head of the World Economic Forum. He said that he 256 00:13:51,400 --> 00:13:58,440 Speaker 1: said that China has a quote very attractive model. He 257 00:13:58,600 --> 00:14:02,040 Speaker 1: praises it. Klaus Schwab says that what China is doing, 258 00:14:02,080 --> 00:14:04,920 Speaker 1: what their social credit core system doing, is amazing. He said, 259 00:14:04,960 --> 00:14:09,560 Speaker 1: it's a model for the world to model for the world. Now, 260 00:14:09,600 --> 00:14:14,240 Speaker 1: not just him, we have Justin Trudeau, the PM of Canada, 261 00:14:14,280 --> 00:14:16,640 Speaker 1: which of course was trained under Klaus Schwab, with the 262 00:14:16,679 --> 00:14:19,080 Speaker 1: world coming for him as one of the young global leaders, 263 00:14:19,200 --> 00:14:22,720 Speaker 1: who has implanted in the government. Per Kloud Schwab's own words, 264 00:14:22,840 --> 00:14:25,440 Speaker 1: that's what he said. And of course we have Justin 265 00:14:25,480 --> 00:14:29,840 Speaker 1: Trudeau also praising China. He said that he said that 266 00:14:29,880 --> 00:14:33,200 Speaker 1: I sometimes wish that we were communists because we would 267 00:14:33,200 --> 00:14:35,360 Speaker 1: have so much more control. Well, of course we'd be 268 00:14:35,400 --> 00:14:37,920 Speaker 1: able to do so much more good, is what he says. Right, 269 00:14:39,160 --> 00:14:42,360 Speaker 1: So they want this, they like this and Kloud Schwab's 270 00:14:42,600 --> 00:14:47,800 Speaker 1: quote a very attractive model. Now what is this model 271 00:14:47,840 --> 00:14:49,680 Speaker 1: that they're talking about. Well, if we dig into this 272 00:14:49,720 --> 00:14:53,440 Speaker 1: just a little bit China. We call it this panopticon, 273 00:14:53,600 --> 00:14:56,320 Speaker 1: this digital panopticon, which is coming for the whole world, 274 00:14:56,360 --> 00:14:59,000 Speaker 1: which is framing up this battle for the fate of humanity. 275 00:14:59,480 --> 00:15:03,720 Speaker 1: And what China wants to do. And Jijingping, the President 276 00:15:03,720 --> 00:15:06,600 Speaker 1: of China, they want to continue to build out this 277 00:15:06,680 --> 00:15:11,160 Speaker 1: technological capability and specifically they want to use artificial intelligence 278 00:15:11,400 --> 00:15:17,560 Speaker 1: to enhance the governments totalitarian control. And even better, they 279 00:15:17,600 --> 00:15:20,240 Speaker 1: want to share it. They want to share it, they 280 00:15:20,280 --> 00:15:23,240 Speaker 1: want to export it. They want to export this technology 281 00:15:23,440 --> 00:15:28,320 Speaker 1: to regimes all around the world. Now they use all 282 00:15:28,320 --> 00:15:30,440 Speaker 1: types of things, all types of what they would consider 283 00:15:30,480 --> 00:15:36,080 Speaker 1: practical innovations, including IRIS, Irish recognition, including that's a retinal scanning, 284 00:15:36,680 --> 00:15:41,320 Speaker 1: all types of cloud based speech synthesis, and all of 285 00:15:41,320 --> 00:15:44,840 Speaker 1: this is spending off Chinese tech giants, AI startups and 286 00:15:45,560 --> 00:15:51,360 Speaker 1: even their own army. Yeah, it's that bad. Now. President 287 00:15:51,440 --> 00:15:55,200 Speaker 1: je has said that he wants China by the year's 288 00:15:55,400 --> 00:16:00,880 Speaker 1: end to be competitive with the world's AI leaders. Now, 289 00:16:01,040 --> 00:16:04,440 Speaker 1: some people might say that China might have already reached that. 290 00:16:04,800 --> 00:16:07,600 Speaker 1: Other people say, no, you know, the US and the 291 00:16:07,640 --> 00:16:10,320 Speaker 1: free world is way too far ahead. But President g 292 00:16:10,480 --> 00:16:12,400 Speaker 1: has said no, this is our goal. This is where 293 00:16:12,400 --> 00:16:16,600 Speaker 1: we're trying to be. And he wants China to achieve 294 00:16:16,720 --> 00:16:23,080 Speaker 1: AI supremacy by twenty thirty. That's his goal. And not 295 00:16:23,080 --> 00:16:24,960 Speaker 1: only do you want to develop it, not only does 296 00:16:24,960 --> 00:16:26,200 Speaker 1: you want to test it, not only you want to 297 00:16:26,280 --> 00:16:28,280 Speaker 1: use it on his own people. He wants to export 298 00:16:28,320 --> 00:16:31,840 Speaker 1: it to a country near you. But it says he 299 00:16:32,040 --> 00:16:36,640 Speaker 1: also wants to use AI's awesome analytical powers to push 300 00:16:36,760 --> 00:16:40,920 Speaker 1: China to the cutting edge of surveillance. Of course, how 301 00:16:40,960 --> 00:16:42,960 Speaker 1: do you control people if you don't survey him? You 302 00:16:43,040 --> 00:16:48,160 Speaker 1: have to see every single move, every single thought, every 303 00:16:48,160 --> 00:16:51,400 Speaker 1: single thought. Think about that, every single thought. Now, I'll 304 00:16:51,440 --> 00:16:54,640 Speaker 1: bring your attention back to where this world that comic 305 00:16:54,680 --> 00:16:57,640 Speaker 1: forums own Nothing and Be Happy came from. It came 306 00:16:57,680 --> 00:17:00,800 Speaker 1: from an article written by I believe it, Ida Alkin, 307 00:17:01,880 --> 00:17:03,920 Speaker 1: who is one of the top people at the WEF. 308 00:17:04,240 --> 00:17:06,520 Speaker 1: And in the article, she opened it up by saying, 309 00:17:07,520 --> 00:17:10,719 Speaker 1: the year is twenty thirty. I have no privacy, I 310 00:17:10,800 --> 00:17:14,479 Speaker 1: own nothing, and I've never been happier, something to that effect. 311 00:17:14,880 --> 00:17:17,399 Speaker 1: And in that she said she owns nothing and she's happy, 312 00:17:17,600 --> 00:17:20,520 Speaker 1: But she also said she has no privacy. And if 313 00:17:20,520 --> 00:17:22,760 Speaker 1: you go through to read that article, it talks about 314 00:17:22,760 --> 00:17:28,280 Speaker 1: how even her dreams are being read, especially has no privacy, 315 00:17:28,359 --> 00:17:34,040 Speaker 1: even her dreams, every single piece of communication, but even 316 00:17:34,040 --> 00:17:38,879 Speaker 1: every thought is being read. And so without this ability 317 00:17:38,920 --> 00:17:42,679 Speaker 1: to surveil, without the ability to see everything the panopticon, 318 00:17:42,920 --> 00:17:45,199 Speaker 1: of course, how they can how can can they control that? 319 00:17:45,560 --> 00:17:49,080 Speaker 1: So Z wants to use the analytical powers of AI 320 00:17:49,240 --> 00:17:53,280 Speaker 1: to be the cutting edge of surveillance, building this all 321 00:17:53,359 --> 00:17:58,840 Speaker 1: seeing digital system of social control patrolled by algorithms that 322 00:17:58,960 --> 00:18:03,080 Speaker 1: identify potential dissenters in real time. Because that's the thing. 323 00:18:04,000 --> 00:18:05,800 Speaker 1: If their ideas were so good, they wouldn't have to 324 00:18:05,840 --> 00:18:08,080 Speaker 1: worry about dissenters. But they do, because of course nobody 325 00:18:08,080 --> 00:18:09,760 Speaker 1: wants their ideas. If you're just tune in and listening 326 00:18:09,800 --> 00:18:12,000 Speaker 1: to the Mark Moss Show, we're talking about the battle 327 00:18:12,040 --> 00:18:14,240 Speaker 1: for the fate of humanity that is shaping up over 328 00:18:14,240 --> 00:18:16,040 Speaker 1: the next couple of years. You don't want to miss this. 329 00:18:16,400 --> 00:18:18,200 Speaker 1: It's really big. I have a lot more to cover 330 00:18:18,200 --> 00:18:19,480 Speaker 1: when I come back, so don't go away. I'll be 331 00:18:19,560 --> 00:18:22,280 Speaker 1: right back, all right, Welcome back. If you're just tuning in, 332 00:18:22,280 --> 00:18:24,199 Speaker 1: you're listening to the Mark Moss Show. Of course, we 333 00:18:24,359 --> 00:18:28,480 Speaker 1: talk about the decentralized revolution, every week talking about the 334 00:18:28,480 --> 00:18:30,280 Speaker 1: way the world is changing as we look at through 335 00:18:30,280 --> 00:18:34,200 Speaker 1: the lens of politics, finance, and technology, and of course 336 00:18:34,240 --> 00:18:36,199 Speaker 1: today is well we're talking about all three of those 337 00:18:36,280 --> 00:18:38,399 Speaker 1: as we always do, we talk about the convergence of 338 00:18:38,440 --> 00:18:41,280 Speaker 1: those three, and I'm talking about I guess some politics, 339 00:18:41,320 --> 00:18:44,199 Speaker 1: mostly technology, and we're talking about the battle for the 340 00:18:44,240 --> 00:18:47,000 Speaker 1: fate of humanity. If you've missed it, don't worry, I 341 00:18:47,040 --> 00:18:48,600 Speaker 1: got your back. Go check it out on the podcast 342 00:18:48,640 --> 00:18:50,480 Speaker 1: to search the Mark Mass Show, or you can find 343 00:18:50,520 --> 00:18:54,040 Speaker 1: it on YouTube if you search Market Disruptors on YouTube. 344 00:18:54,040 --> 00:18:55,720 Speaker 1: You can watch me and listen to me at the 345 00:18:55,760 --> 00:18:59,320 Speaker 1: same time. But we're talking about china social credit card 346 00:18:59,359 --> 00:19:02,920 Speaker 1: system and what gzping is doing to try to scale 347 00:19:02,960 --> 00:19:07,119 Speaker 1: that and by using AI, this new AI wave that 348 00:19:07,160 --> 00:19:10,920 Speaker 1: we're seeing now, China has this system already. They're trying 349 00:19:10,920 --> 00:19:13,000 Speaker 1: to grow to be bigger and bigger. But China already 350 00:19:13,000 --> 00:19:19,040 Speaker 1: has hundreds of millions, hundreds of millions of surveillance cameras 351 00:19:19,080 --> 00:19:24,720 Speaker 1: everywhere watching every single thing. However, it's not enough. They 352 00:19:24,840 --> 00:19:27,320 Speaker 1: have all these cameras and they need this AI technology 353 00:19:27,359 --> 00:19:30,600 Speaker 1: to parse all this data and put together because what 354 00:19:30,640 --> 00:19:33,680 Speaker 1: they want in the future is for every person who 355 00:19:33,800 --> 00:19:37,760 Speaker 1: enters any space to be instantly identified by an AI 356 00:19:38,119 --> 00:19:41,560 Speaker 1: that could match them to all of their personal data, 357 00:19:41,600 --> 00:19:47,760 Speaker 1: including every text communication, their bodies, their gait, their walk, 358 00:19:47,840 --> 00:19:51,480 Speaker 1: their stride, and even they're one of a kind protein 359 00:19:51,720 --> 00:19:58,240 Speaker 1: construction schema. And it says that China is on is 360 00:19:58,280 --> 00:20:00,480 Speaker 1: on the path to do this, they'll be able to 361 00:20:00,480 --> 00:20:02,520 Speaker 1: string data points from a broad range of sources, including 362 00:20:02,560 --> 00:20:09,440 Speaker 1: travel records, friends, associates, reading habits, purchase habits to predict 363 00:20:09,640 --> 00:20:16,680 Speaker 1: what to predict political resistance before it happens. Pre crime. 364 00:20:16,920 --> 00:20:19,480 Speaker 1: There was a movie from with Tom Cruise called Minority 365 00:20:19,520 --> 00:20:21,439 Speaker 1: Report and it was all about this pre crime, and 366 00:20:21,520 --> 00:20:23,720 Speaker 1: that's exactly what they're talking about. They want to predict 367 00:20:24,000 --> 00:20:30,800 Speaker 1: political resistance before it happens. This is now. First of all, 368 00:20:30,840 --> 00:20:33,080 Speaker 1: I'm reading some of this from this article on the Atlantic, 369 00:20:33,320 --> 00:20:36,160 Speaker 1: and just just so you know, The Atlantic is no 370 00:20:37,520 --> 00:20:41,160 Speaker 1: proponent of freedom. Let's just say that I would consider 371 00:20:41,160 --> 00:20:45,600 Speaker 1: them to be a very very very far leaning left 372 00:20:47,160 --> 00:20:51,119 Speaker 1: outlet news outlet, not a like I said, not a 373 00:20:51,119 --> 00:20:54,199 Speaker 1: fan of freedom necessarily in my opinion, And so for 374 00:20:54,320 --> 00:20:58,400 Speaker 1: them to write this, it's pretty bad. So what they're saying, 375 00:20:58,400 --> 00:21:00,600 Speaker 1: if you're picking up on This is a couple things, right, 376 00:21:01,000 --> 00:21:06,560 Speaker 1: So they want to use precog algorithms to identify potential dissenters, 377 00:21:07,200 --> 00:21:11,160 Speaker 1: dissenters of what, dissenters of the state. Now, if people 378 00:21:11,320 --> 00:21:14,159 Speaker 1: love the state because the state gave them so much value, 379 00:21:14,160 --> 00:21:16,440 Speaker 1: why would they be dissenting from that? Of course, the 380 00:21:16,480 --> 00:21:21,720 Speaker 1: answer is they wouldn't. And here it says to predict 381 00:21:21,760 --> 00:21:25,600 Speaker 1: political resistance before it happens. Why are we dissenting? Why 382 00:21:25,640 --> 00:21:29,000 Speaker 1: are we resisting the political system? Well, because they're forcing 383 00:21:29,080 --> 00:21:31,240 Speaker 1: us to do things we don't want to do. Now, 384 00:21:31,400 --> 00:21:33,199 Speaker 1: I can't speak for China, well I can. I mean, 385 00:21:33,240 --> 00:21:35,840 Speaker 1: they're communists and they want total control, not you. In 386 00:21:35,880 --> 00:21:39,639 Speaker 1: the United States, we the people are supposed to have 387 00:21:39,680 --> 00:21:42,480 Speaker 1: the power. We the people, You and I. We are 388 00:21:42,720 --> 00:21:47,480 Speaker 1: private citizens. That means that the government should know absolutely 389 00:21:47,560 --> 00:21:53,640 Speaker 1: nothing about us zero because we are private citizens. The government, however, 390 00:21:53,880 --> 00:22:00,480 Speaker 1: is public servants. That means they are there to be 391 00:22:00,800 --> 00:22:04,080 Speaker 1: public servants meeting they're there to serve the best interests 392 00:22:04,080 --> 00:22:07,760 Speaker 1: of us, the private sistants. So they should know zero 393 00:22:07,760 --> 00:22:11,840 Speaker 1: about us, and we should know everything about them. We 394 00:22:11,840 --> 00:22:15,080 Speaker 1: should know everything about them, Like how did Nancy Pelosi 395 00:22:15,119 --> 00:22:18,359 Speaker 1: become the best wall street trader of all time. How 396 00:22:18,400 --> 00:22:22,920 Speaker 1: do these politicians like Obama or Nancy Pelosi or any 397 00:22:22,960 --> 00:22:25,920 Speaker 1: of the other hundreds of them, how do they enter 398 00:22:26,560 --> 00:22:31,000 Speaker 1: public office broke and make one hundred thousand a year 399 00:22:31,000 --> 00:22:33,800 Speaker 1: two hundred thousand a year and become worth ten twenty 400 00:22:33,920 --> 00:22:38,040 Speaker 1: fifty hundred million dollars by the time they retire. How 401 00:22:38,080 --> 00:22:40,000 Speaker 1: does that happen? I'd sure like to know, because I 402 00:22:40,080 --> 00:22:42,560 Speaker 1: might like to do the same thing, would you? We 403 00:22:42,600 --> 00:22:44,440 Speaker 1: should know that about them, But of course that's not 404 00:22:44,480 --> 00:22:47,320 Speaker 1: the case. So China's government could soon, as says here, 405 00:22:47,600 --> 00:22:52,840 Speaker 1: soon achieve an unprecedented political stranglehold on more than one 406 00:22:53,080 --> 00:22:59,879 Speaker 1: billion people, one billion people, And like I said, as 407 00:23:00,080 --> 00:23:03,840 Speaker 1: rations are to export this beyond the country's borders, in 408 00:23:04,000 --> 00:23:08,040 Speaker 1: trenching the power of a whole generation of autocrats, in 409 00:23:08,160 --> 00:23:10,040 Speaker 1: trenching this is what I'm talking about, the battle for 410 00:23:10,040 --> 00:23:12,920 Speaker 1: the fad of demanding. If this gets put into place, 411 00:23:13,080 --> 00:23:18,760 Speaker 1: in trenching the power, it says, this may never get repealed. Now, 412 00:23:18,800 --> 00:23:21,919 Speaker 1: it says China's digital infrastructure could shift the balance of 413 00:23:21,960 --> 00:23:25,080 Speaker 1: power between the individual and the state worldwide. So there's 414 00:23:25,119 --> 00:23:29,080 Speaker 1: something about there's always returns, returns on your investment ROI. 415 00:23:29,200 --> 00:23:31,919 Speaker 1: You've heard that there's returns on my energy, return on 416 00:23:32,000 --> 00:23:36,040 Speaker 1: my time. There's also something known as a return on violence. 417 00:23:36,480 --> 00:23:39,520 Speaker 1: So the state, all states, including the US government, has 418 00:23:39,560 --> 00:23:43,760 Speaker 1: a monopoly on violence. They can use violence on you 419 00:23:44,000 --> 00:23:45,760 Speaker 1: anytime they want. They can send the police officers to 420 00:23:45,800 --> 00:23:49,240 Speaker 1: your house with guns. You can't use violence on other people, right, 421 00:23:49,320 --> 00:23:53,720 Speaker 1: So the state has a monopoly on violence. And so 422 00:23:53,880 --> 00:23:56,680 Speaker 1: that's the balance of power between the individual and the state. 423 00:23:56,800 --> 00:23:59,879 Speaker 1: The problem is the return on violence. So a lot 424 00:23:59,880 --> 00:24:02,359 Speaker 1: of people say, oh, the government's gonna come take all 425 00:24:02,400 --> 00:24:05,600 Speaker 1: your bitcoin. So the government's gonna go house to house 426 00:24:05,640 --> 00:24:09,600 Speaker 1: to house three hundred and thirty million plus people, house 427 00:24:09,680 --> 00:24:12,720 Speaker 1: to house to house three hundred million times, and torture 428 00:24:12,760 --> 00:24:15,400 Speaker 1: people until they give up a couple dollars for the bitcoin. 429 00:24:15,600 --> 00:24:18,960 Speaker 1: Like the return on that violence is way too low. 430 00:24:19,000 --> 00:24:20,719 Speaker 1: Like there's just there's no there's no way they can 431 00:24:20,760 --> 00:24:22,679 Speaker 1: do that. And it's also why even in some of 432 00:24:22,680 --> 00:24:27,119 Speaker 1: the most you know, more strict i'll say authoritarian regimes, 433 00:24:28,040 --> 00:24:30,879 Speaker 1: there's actually a lot of freedom in those areas. And 434 00:24:30,920 --> 00:24:33,879 Speaker 1: the reason why is because you know, maybe Mexico is 435 00:24:33,880 --> 00:24:36,760 Speaker 1: actually their government's more restrictive than the United States, but 436 00:24:37,160 --> 00:24:41,119 Speaker 1: because their economy is so poor, because their their technology 437 00:24:41,200 --> 00:24:43,679 Speaker 1: is so poor, they can't really enforce it. So in 438 00:24:43,760 --> 00:24:46,480 Speaker 1: most of the country people don't even know about the government. 439 00:24:46,480 --> 00:24:48,320 Speaker 1: They don't even they know nothing, and so they can't 440 00:24:48,359 --> 00:24:51,240 Speaker 1: enforce it. The return on violence would be too low. 441 00:24:51,320 --> 00:24:54,960 Speaker 1: But if they can put this digital infrastructure in and 442 00:24:55,040 --> 00:24:58,480 Speaker 1: now they don't need police officers and military people everywhere 443 00:24:58,480 --> 00:25:02,320 Speaker 1: because now technology does that. Now the return on violence 444 00:25:02,359 --> 00:25:05,600 Speaker 1: can get very high. That's this balance of power that 445 00:25:05,640 --> 00:25:09,639 Speaker 1: we're talking about. But the one thing that we have 446 00:25:10,200 --> 00:25:16,160 Speaker 1: is that for now, anyway, it looks like industry analysts 447 00:25:16,160 --> 00:25:20,120 Speaker 1: expect America to retain its current AI lead for at 448 00:25:20,240 --> 00:25:24,600 Speaker 1: least another decade. But it's not very much comforting because 449 00:25:24,600 --> 00:25:27,440 Speaker 1: it says here China is already developing powerful new surveillance 450 00:25:27,480 --> 00:25:30,960 Speaker 1: tools and exporting them to dozens of the world's actual 451 00:25:31,440 --> 00:25:38,199 Speaker 1: and would be autocracies, And it says that an emergence 452 00:25:38,200 --> 00:25:40,680 Speaker 1: of an AI pirate authoritarian block led by China could 453 00:25:40,760 --> 00:25:44,320 Speaker 1: warp the geopolitics of this century. It could prevent billions 454 00:25:44,359 --> 00:25:49,280 Speaker 1: of people, billions so huge percentages of the world across 455 00:25:49,359 --> 00:25:53,240 Speaker 1: large swash of the globe, from ever securing any measure 456 00:25:53,400 --> 00:25:59,680 Speaker 1: of political freedom. That's a big deal. It's a real 457 00:25:59,680 --> 00:26:03,879 Speaker 1: big this is this is already in place, This is 458 00:26:03,960 --> 00:26:07,320 Speaker 1: already growing. The tools that they need to institute this 459 00:26:07,640 --> 00:26:11,560 Speaker 1: are own, are growing at a at a rapid rate. 460 00:26:11,560 --> 00:26:13,320 Speaker 1: As a matter of fact, the rate at which AI 461 00:26:13,480 --> 00:26:18,959 Speaker 1: is growing is astronomical, and it's growing so fast. And 462 00:26:19,040 --> 00:26:22,000 Speaker 1: so they have the systems in place, they have the 463 00:26:22,000 --> 00:26:24,840 Speaker 1: technology in place, and they have the aspirations to do it. 464 00:26:24,880 --> 00:26:27,320 Speaker 1: Of course, which government doesn't want more control over their people. 465 00:26:27,720 --> 00:26:31,560 Speaker 1: And so this is leading to a very scary place. 466 00:26:32,000 --> 00:26:36,680 Speaker 1: It's sort of like George Orrel's nineteen eighty four on steroids. 467 00:26:39,880 --> 00:26:42,359 Speaker 1: Now they have the you know, they have all these things, 468 00:26:42,359 --> 00:26:48,080 Speaker 1: but who controls the AI, what's the purpose of the AI? 469 00:26:48,200 --> 00:26:51,080 Speaker 1: And more more more specifically, I said that there's a 470 00:26:51,240 --> 00:26:54,199 Speaker 1: battle for the fate of humanity that I think we 471 00:26:54,240 --> 00:26:58,080 Speaker 1: can win. So how do we win in the face 472 00:26:58,160 --> 00:27:00,560 Speaker 1: of all of this, that's a bigger question. And I 473 00:27:00,560 --> 00:27:02,359 Speaker 1: think we have the tools to do it, and I 474 00:27:02,480 --> 00:27:06,840 Speaker 1: think I don't think. I believe, I have hope. I hope. 475 00:27:06,880 --> 00:27:08,440 Speaker 1: I have hope that we're going to do the hard work. 476 00:27:09,040 --> 00:27:10,480 Speaker 1: I have hope that we're gonna be able to push 477 00:27:10,480 --> 00:27:12,399 Speaker 1: back against this. I have hope that we're going to 478 00:27:12,440 --> 00:27:15,280 Speaker 1: defeat this, and I have hope that my kids and 479 00:27:15,359 --> 00:27:17,840 Speaker 1: your kids will live in a much freer world on 480 00:27:17,880 --> 00:27:19,560 Speaker 1: the other side of this, on the other side of 481 00:27:19,560 --> 00:27:21,280 Speaker 1: the Battle for the Fate of humanity. If you're just 482 00:27:21,320 --> 00:27:23,360 Speaker 1: tuning in, you're listening to the Mark Moss Show. We're 483 00:27:23,400 --> 00:27:26,000 Speaker 1: talking about the battle for the Fate of humanity. We 484 00:27:26,040 --> 00:27:29,200 Speaker 1: talk about every week the decentralized Revolution, which I think 485 00:27:29,280 --> 00:27:32,480 Speaker 1: is going to overpower the battle for the Fate of humanity. 486 00:27:32,480 --> 00:27:33,960 Speaker 1: We're gonna talk about all that. I still got a 487 00:27:33,960 --> 00:27:36,520 Speaker 1: lot more to cover when I come back. You don't 488 00:27:36,520 --> 00:27:38,679 Speaker 1: want to miss this for the conclusion, what gives me 489 00:27:38,760 --> 00:27:41,000 Speaker 1: hope and how we can win. Don't go away. I'm 490 00:27:41,000 --> 00:27:42,920 Speaker 1: going to come back in a minute with more. I'll 491 00:27:42,960 --> 00:27:45,600 Speaker 1: be right back. All right, Welcome back. If you're just 492 00:27:45,640 --> 00:27:47,840 Speaker 1: tuning in, you're listening to the Mark Moss Show, where 493 00:27:47,840 --> 00:27:50,600 Speaker 1: we talk about each and every week the decentralized Revolution, 494 00:27:50,640 --> 00:27:54,560 Speaker 1: and today specifically, we are talking about what I'm calling 495 00:27:54,800 --> 00:27:59,200 Speaker 1: the Battle for the Fate of Humanity. Yeah, it's a big, big, 496 00:27:59,200 --> 00:28:01,280 Speaker 1: big topics, something I'm sup passionate about. Something I talk 497 00:28:01,320 --> 00:28:06,440 Speaker 1: about indifferent pieces and segments all the time. But we're 498 00:28:06,480 --> 00:28:10,200 Speaker 1: really seeing this come to the forefront now. AI Artificial 499 00:28:10,240 --> 00:28:14,399 Speaker 1: intelligence has been in development at least since the seventies, 500 00:28:15,240 --> 00:28:16,800 Speaker 1: you know, depends on what kind of development do you 501 00:28:16,800 --> 00:28:18,679 Speaker 1: want to talk about there, But we've been working on 502 00:28:18,760 --> 00:28:21,439 Speaker 1: for decades and decades and decades. But it really was 503 00:28:21,600 --> 00:28:25,959 Speaker 1: thrust into the mainstream. I believe it was November thirtieth 504 00:28:26,040 --> 00:28:29,560 Speaker 1: last year, twenty twenty two, so it's been about two 505 00:28:29,600 --> 00:28:32,800 Speaker 1: and a half months, not even ninety days, that the 506 00:28:33,560 --> 00:28:36,399 Speaker 1: public has gotten access to this AI. Of course, it 507 00:28:36,520 --> 00:28:38,840 Speaker 1: was launched with this Open AI. You might have heard 508 00:28:38,840 --> 00:28:41,280 Speaker 1: of that. I've talked about it before, Open AI, and 509 00:28:41,280 --> 00:28:44,000 Speaker 1: it's leading to this massive revolution. They launched what's called 510 00:28:44,120 --> 00:28:49,760 Speaker 1: chat GPT, and now chat GPT kind of gave everyday 511 00:28:49,800 --> 00:28:52,840 Speaker 1: people like you and I access to the AI where 512 00:28:52,920 --> 00:28:55,800 Speaker 1: now literally through a like a search bar command, I 513 00:28:55,800 --> 00:28:59,400 Speaker 1: could type in all types of things like, um, you know, 514 00:28:59,440 --> 00:29:01,280 Speaker 1: do some reef search for me, tell me the answer 515 00:29:01,320 --> 00:29:05,440 Speaker 1: to this, take this article and summarize it, produce emails, 516 00:29:05,520 --> 00:29:09,400 Speaker 1: give me sales copy, but also like righte code, write 517 00:29:09,440 --> 00:29:12,840 Speaker 1: new programs commands, even ones that can create images and 518 00:29:13,000 --> 00:29:15,880 Speaker 1: videos and all types of stuff, and so this is 519 00:29:15,880 --> 00:29:18,120 Speaker 1: now really taking off. I've done a video on my 520 00:29:18,120 --> 00:29:19,560 Speaker 1: main YouTube channel. If you want to go watch it, 521 00:29:19,640 --> 00:29:21,920 Speaker 1: just search Mark Moss. It's my main channel, and I 522 00:29:21,960 --> 00:29:23,960 Speaker 1: did a video kind of breaking down this AI. But 523 00:29:24,960 --> 00:29:28,560 Speaker 1: now that we're seeing like not just private companies and 524 00:29:28,680 --> 00:29:32,200 Speaker 1: governments using this, now we're seeing people using this. Now, 525 00:29:32,240 --> 00:29:35,400 Speaker 1: this is going to find its way into everybody's everyday 526 00:29:35,440 --> 00:29:39,560 Speaker 1: lives where you know, high schoolers, maybe middle schoolers, students, 527 00:29:39,640 --> 00:29:41,760 Speaker 1: let's just call it. Students will be using this to 528 00:29:42,360 --> 00:29:44,920 Speaker 1: like I said, do research for different topics, have them 529 00:29:45,040 --> 00:29:48,360 Speaker 1: help help them write papers. Professionals will use this to 530 00:29:48,440 --> 00:29:52,480 Speaker 1: write articles and blogs for their business. And with SEO optimization, 531 00:29:53,640 --> 00:29:55,560 Speaker 1: you know, creative people will be using it too, like 532 00:29:55,600 --> 00:29:58,280 Speaker 1: I said, create images and create videos and things like that. 533 00:29:59,400 --> 00:30:02,040 Speaker 1: This will find its way into everyday writing code right, 534 00:30:02,360 --> 00:30:05,000 Speaker 1: every way of life. Now, the AI isn't going to 535 00:30:05,040 --> 00:30:06,880 Speaker 1: go change your toilet, and it's not going to go 536 00:30:06,920 --> 00:30:09,360 Speaker 1: build a road or build a house. And so m 537 00:30:09,680 --> 00:30:11,640 Speaker 1: AI is not going to replace every job. A lot 538 00:30:11,640 --> 00:30:13,360 Speaker 1: of jobs we're still going to need humans for. Or's 539 00:30:13,400 --> 00:30:16,560 Speaker 1: gonna need that, and LA's gonna need the creativity of humans. 540 00:30:16,560 --> 00:30:18,040 Speaker 1: But I'm not gonna get into all that right now. 541 00:30:18,360 --> 00:30:20,000 Speaker 1: But what I'm what I do want to say is 542 00:30:20,000 --> 00:30:22,480 Speaker 1: that this AI one, it's it's been being used by 543 00:30:22,600 --> 00:30:25,600 Speaker 1: governments and private co operations, but now it's being used 544 00:30:25,600 --> 00:30:29,920 Speaker 1: by the people. So that's good, right because now the 545 00:30:29,960 --> 00:30:33,840 Speaker 1: people have their own well not really because who controls 546 00:30:33,880 --> 00:30:39,240 Speaker 1: it for the people? Now? We know that we can 547 00:30:39,280 --> 00:30:43,080 Speaker 1: see that chat GPT. There's been all types of tests 548 00:30:43,480 --> 00:30:46,920 Speaker 1: and it looks like there's a problem with chat GPT 549 00:30:47,520 --> 00:30:53,600 Speaker 1: where it's very liberal biased. And of course, right an 550 00:30:53,640 --> 00:30:58,600 Speaker 1: AI has to be trained. It's only as good as 551 00:30:58,640 --> 00:31:02,680 Speaker 1: the data as the infration it's been fed. So who 552 00:31:02,880 --> 00:31:06,280 Speaker 1: fed at the data and what data did they feed it. 553 00:31:08,320 --> 00:31:10,000 Speaker 1: We can see a couple of tests that were done 554 00:31:12,720 --> 00:31:15,360 Speaker 1: here and it was talking about doing some writing things 555 00:31:15,400 --> 00:31:18,040 Speaker 1: like that, and they'd been doing some stress testing on it, 556 00:31:18,200 --> 00:31:20,600 Speaker 1: and they noticed that how to liberal bias when they 557 00:31:20,680 --> 00:31:22,280 Speaker 1: when they asked it to do certain things. I don't 558 00:31:22,280 --> 00:31:25,320 Speaker 1: have the examples here in front of me, but basically 559 00:31:25,360 --> 00:31:28,040 Speaker 1: they'd say, you know, write something critical of Joe Biden 560 00:31:28,080 --> 00:31:29,680 Speaker 1: and it says, oh, I can't do that, and then say, oh, 561 00:31:29,720 --> 00:31:31,680 Speaker 1: write something of Donald Trump and it can do that 562 00:31:31,880 --> 00:31:33,040 Speaker 1: I want. I don't want to go into that. I 563 00:31:33,080 --> 00:31:35,640 Speaker 1: don't want to go into the tip for tat on. 564 00:31:35,680 --> 00:31:38,120 Speaker 1: This doesn't really matter for what I'm trying to talk about, 565 00:31:38,160 --> 00:31:40,240 Speaker 1: which is the point is is now even if the people, 566 00:31:40,320 --> 00:31:43,480 Speaker 1: even if we have it, but who controls it? Who 567 00:31:43,600 --> 00:31:48,080 Speaker 1: fed it? It's a big problem. Now there's a video 568 00:31:48,120 --> 00:31:53,440 Speaker 1: I watched with Peter Diamandis and he was interviewing the 569 00:31:53,480 --> 00:31:57,760 Speaker 1: founder of stable Diffusion. His name is Immad Immad mystique 570 00:31:57,880 --> 00:32:00,200 Speaker 1: if I'm saying that right. It was an amazing easy 571 00:32:00,240 --> 00:32:02,040 Speaker 1: interview at how do you recommend it? Just go onto 572 00:32:02,080 --> 00:32:08,280 Speaker 1: YouTube in search Peter Diamantis and Stable Diffusion, and in 573 00:32:08,440 --> 00:32:11,560 Speaker 1: that they talk about how email it has started this 574 00:32:11,680 --> 00:32:16,920 Speaker 1: new AI to basically rival or compete against open ai. 575 00:32:17,160 --> 00:32:21,520 Speaker 1: Now the irony is that open ai isn't open. Open 576 00:32:21,560 --> 00:32:25,760 Speaker 1: ai is actually a closed AI that they control, that 577 00:32:25,800 --> 00:32:28,600 Speaker 1: they feed with the data they want, which returns answers 578 00:32:28,600 --> 00:32:31,080 Speaker 1: that they want to give you. So how is this 579 00:32:31,160 --> 00:32:33,840 Speaker 1: when everybody in the world, as I said, right from 580 00:32:34,160 --> 00:32:38,720 Speaker 1: students to professionals to programmers and coders are trusting to 581 00:32:38,760 --> 00:32:43,320 Speaker 1: get good information, but they're being fed only what this 582 00:32:43,560 --> 00:32:45,920 Speaker 1: group of people who control it wants you to be fed. 583 00:32:46,920 --> 00:32:51,080 Speaker 1: How does that start shifting and changing the course of humanity? 584 00:32:51,080 --> 00:32:56,520 Speaker 1: How does that start to shift our collective intelligence, our communication, etc. Well, 585 00:32:56,840 --> 00:33:01,520 Speaker 1: Stable Diffusion has started an AI that's an open source AI, 586 00:33:02,240 --> 00:33:04,920 Speaker 1: and their goal is that all of us could have 587 00:33:05,120 --> 00:33:10,760 Speaker 1: our own AI that's built and trained for us, as 588 00:33:10,760 --> 00:33:15,000 Speaker 1: opposed to an AI that's controlled by somebody else. So 589 00:33:15,040 --> 00:33:19,200 Speaker 1: we're getting these tools to help free us. It's decentralized. 590 00:33:19,200 --> 00:33:22,840 Speaker 1: So why I talk about the decentralized revolution. We are 591 00:33:22,920 --> 00:33:26,600 Speaker 1: moving into a world that used to be unipolar world 592 00:33:26,600 --> 00:33:29,160 Speaker 1: where the United States was the global homogene and the 593 00:33:29,240 --> 00:33:32,000 Speaker 1: US dollars the reserve currency of the entire world. And 594 00:33:32,000 --> 00:33:35,000 Speaker 1: we're now moving into a multipolar world where we're going 595 00:33:35,080 --> 00:33:38,840 Speaker 1: to have many competing governments. Of course we've already seen 596 00:33:38,840 --> 00:33:40,880 Speaker 1: that with Russia and China and what's happening with that, 597 00:33:41,120 --> 00:33:45,200 Speaker 1: but also competing monies. And we also have a technology 598 00:33:45,240 --> 00:33:50,560 Speaker 1: now with bitcoin that's a decentralized technology, and so it 599 00:33:50,600 --> 00:33:55,080 Speaker 1: allows us to decentralize all types of information and value. 600 00:33:55,120 --> 00:33:58,760 Speaker 1: And so we have this technology and AI can be 601 00:33:59,640 --> 00:34:02,960 Speaker 1: very centralizing in the aspect if we all use open 602 00:34:03,000 --> 00:34:05,440 Speaker 1: ayes AI and who controls that, but we also have 603 00:34:05,480 --> 00:34:08,160 Speaker 1: the tools to go against it. Now more specifically, I'm 604 00:34:08,200 --> 00:34:10,919 Speaker 1: talking about the battle for the fate of humanity. So one, 605 00:34:11,120 --> 00:34:17,080 Speaker 1: as entrepreneurs, we can continue to build new tools, just 606 00:34:17,160 --> 00:34:20,680 Speaker 1: like what Imad's doing with stable diffusion. We can continue 607 00:34:20,680 --> 00:34:25,839 Speaker 1: to build tools to fight back against this all right. 608 00:34:26,120 --> 00:34:28,600 Speaker 1: But more importantly what we can do is we can 609 00:34:28,680 --> 00:34:32,799 Speaker 1: realize that the source of all the state's power. When 610 00:34:32,840 --> 00:34:35,239 Speaker 1: I say the state, the government's the US government, the 611 00:34:35,360 --> 00:34:38,799 Speaker 1: Chinese CCP at, Chinese government, etc. The source of their 612 00:34:38,880 --> 00:34:43,799 Speaker 1: power is the money printer, their ability to print money. 613 00:34:44,440 --> 00:34:46,160 Speaker 1: With the United States right now is going through this 614 00:34:46,280 --> 00:34:49,279 Speaker 1: debt sealing limit debate, which we go through every couple 615 00:34:49,320 --> 00:34:51,439 Speaker 1: of years. We need more debt. We need more debt. 616 00:34:51,520 --> 00:34:53,400 Speaker 1: We're adding more debt at a faster pace than we 617 00:34:53,440 --> 00:34:56,520 Speaker 1: have anytime in society. And without that debt, the government 618 00:34:56,560 --> 00:34:59,560 Speaker 1: can't continue to grow. We can't continue to fund all 619 00:34:59,600 --> 00:35:03,080 Speaker 1: these new well one, all all the obligations that we 620 00:35:03,120 --> 00:35:05,800 Speaker 1: already have to pay, and we can't continue to spend 621 00:35:05,840 --> 00:35:09,160 Speaker 1: new obligations and pay pay for new favors. And so 622 00:35:09,200 --> 00:35:11,920 Speaker 1: without the ability to continue to print more money, the 623 00:35:12,000 --> 00:35:15,280 Speaker 1: states wither and die. The state would be a tiny 624 00:35:15,320 --> 00:35:18,319 Speaker 1: little shell of itself. It doesn't get the money that 625 00:35:18,320 --> 00:35:20,439 Speaker 1: it needs from tax revenue, It gets it from being 626 00:35:20,440 --> 00:35:23,680 Speaker 1: able to print it. So if we could take away 627 00:35:23,719 --> 00:35:27,360 Speaker 1: their ability, the state's ability to print money, then we 628 00:35:27,400 --> 00:35:30,440 Speaker 1: could affect and limit the size of the government. They 629 00:35:30,440 --> 00:35:33,799 Speaker 1: wouldn't have billions or hundreds of billions of dollars to 630 00:35:33,960 --> 00:35:38,840 Speaker 1: dump into AI and social credit score system technologies. The 631 00:35:39,320 --> 00:35:42,279 Speaker 1: US or whatever government would be happy to import this 632 00:35:42,360 --> 00:35:44,920 Speaker 1: stuff from China if they could just go print a 633 00:35:44,920 --> 00:35:47,239 Speaker 1: few hundred billion dollars and pay for it and bring 634 00:35:47,239 --> 00:35:50,839 Speaker 1: it in. But what if they didn't have that money, Well, 635 00:35:50,920 --> 00:35:53,399 Speaker 1: they wouldn't be able to do that, And that's how 636 00:35:53,400 --> 00:35:56,439 Speaker 1: we win. We need to take away their ability to 637 00:35:56,480 --> 00:35:59,000 Speaker 1: print money. And if we take away their ability to 638 00:35:59,000 --> 00:36:01,360 Speaker 1: print money, then we cut them off at the source. 639 00:36:01,400 --> 00:36:03,239 Speaker 1: They're not able to bring in this technology. They're not 640 00:36:03,320 --> 00:36:06,640 Speaker 1: able to implement this technology. They're not able to build 641 00:36:06,719 --> 00:36:09,000 Speaker 1: this digital panopticon that can put you and I and 642 00:36:09,040 --> 00:36:12,160 Speaker 1: our kids and our grandkids into future prison for all eternity. 643 00:36:13,320 --> 00:36:15,000 Speaker 1: That's where this battle is gonna be fought. It's gonna 644 00:36:15,000 --> 00:36:17,160 Speaker 1: be fought over the money, which of course is why 645 00:36:17,160 --> 00:36:19,279 Speaker 1: they're trying to rush in the final piece, which is 646 00:36:19,280 --> 00:36:23,080 Speaker 1: the central bank digital currencies. They want to control the money, 647 00:36:23,120 --> 00:36:26,240 Speaker 1: but we cannot let them. We have to retain control 648 00:36:26,280 --> 00:36:28,720 Speaker 1: of over our money, and we do that with bitcoin. 649 00:36:28,840 --> 00:36:33,520 Speaker 1: It's the only option. If not Bitcoin, then what It's 650 00:36:33,560 --> 00:36:37,520 Speaker 1: not dodgecoin, it's not ethereum, They're not decentralized. It's only 651 00:36:37,680 --> 00:36:41,040 Speaker 1: Bitcoin that is our tool that we can defeat the 652 00:36:41,080 --> 00:36:43,680 Speaker 1: money printer. We can take away their ability to continue 653 00:36:43,680 --> 00:36:46,719 Speaker 1: to grow. And if we can do that over the 654 00:36:46,719 --> 00:36:49,840 Speaker 1: next couple of years this decade, then we can prevent 655 00:36:50,040 --> 00:36:53,520 Speaker 1: this from happening, and we can win the battle for 656 00:36:53,640 --> 00:36:56,280 Speaker 1: the fate of humanity and prevent them from ever getting 657 00:36:56,280 --> 00:36:58,160 Speaker 1: the size they need to ever put us back into prison. 658 00:36:58,400 --> 00:37:00,600 Speaker 1: You're listening to the markmas Show going on a rant 659 00:37:00,640 --> 00:37:02,680 Speaker 1: here about the battle for the fate of humanity, talking 660 00:37:02,719 --> 00:37:05,800 Speaker 1: about the decentralized revolution, like we talked about each and 661 00:37:05,840 --> 00:37:07,319 Speaker 1: every week. If you missed any of it, catch me 662 00:37:07,360 --> 00:37:09,759 Speaker 1: on the podcast at the Mark Moss Show, and that's 663 00:37:09,760 --> 00:37:11,960 Speaker 1: what I got. Thanks so much for listening. Until next time.