1 00:00:00,040 --> 00:00:01,880 Speaker 1: Hello, and welcome back to another episode of the Mark 2 00:00:01,960 --> 00:00:05,520 Speaker 1: Mass Show, where we're talking about the decentralized Revolution, and 3 00:00:05,559 --> 00:00:08,680 Speaker 1: we have been talking about the battle for the fate 4 00:00:08,720 --> 00:00:11,400 Speaker 1: of humanity and what I've been calling the fight of 5 00:00:11,440 --> 00:00:14,840 Speaker 1: our lives, and that fight of our lives is about technology. 6 00:00:15,200 --> 00:00:16,720 Speaker 1: And so this is a thread that I've been continuing 7 00:00:16,760 --> 00:00:19,840 Speaker 1: to hit on. If you want to build and protect 8 00:00:19,920 --> 00:00:22,600 Speaker 1: your wealth and more importantly, your freedom, than these are 9 00:00:22,640 --> 00:00:24,680 Speaker 1: things that you should be worried about. You should be 10 00:00:24,760 --> 00:00:26,400 Speaker 1: concerned about. These are things that you want to know 11 00:00:26,400 --> 00:00:28,960 Speaker 1: about and take action on, because it's always technology that 12 00:00:29,080 --> 00:00:32,200 Speaker 1: changes the world, and we're seeing that as this tool 13 00:00:32,280 --> 00:00:35,960 Speaker 1: is being used more and more and more, there's a 14 00:00:36,000 --> 00:00:39,239 Speaker 1: battle over who wields the power, who has it. So 15 00:00:39,400 --> 00:00:41,640 Speaker 1: in this show, I want to break down and really 16 00:00:41,680 --> 00:00:43,199 Speaker 1: dig into this narrative and I want to look at 17 00:00:43,240 --> 00:00:47,200 Speaker 1: two big things that happened this week that really highlight this. 18 00:00:48,040 --> 00:00:49,839 Speaker 1: And I got my show producer Q on with me. 19 00:00:49,880 --> 00:00:50,199 Speaker 1: What's up? 20 00:00:50,240 --> 00:00:53,560 Speaker 2: C Mark, Thank you so much for having me to 21 00:00:53,600 --> 00:00:56,520 Speaker 2: join you. I was hissed reading all this stuff, man, 22 00:00:56,920 --> 00:00:59,160 Speaker 2: so needless say, I'm excited to get to talking out 23 00:00:59,160 --> 00:00:59,360 Speaker 2: with you. 24 00:01:00,080 --> 00:01:03,560 Speaker 1: Yeah, you know, so you know, it's like it's like 25 00:01:04,200 --> 00:01:06,600 Speaker 1: I called it earlier, sort of like this fire, right, 26 00:01:06,680 --> 00:01:09,720 Speaker 1: so it's like who controls fire, who controls steel? Or 27 00:01:09,760 --> 00:01:13,960 Speaker 1: you know, so throughout history you have these monumental things copper, 28 00:01:14,080 --> 00:01:16,960 Speaker 1: the Bronze age, and whoever harnesses the power of these 29 00:01:17,440 --> 00:01:21,520 Speaker 1: has unfair advantage, if you will, right, And now we 30 00:01:21,640 --> 00:01:24,479 Speaker 1: have like this power of information and maybe this sort 31 00:01:24,480 --> 00:01:27,080 Speaker 1: of fits into this like fifth generation of warfare narrative, 32 00:01:27,440 --> 00:01:31,839 Speaker 1: and like the ability to create information, share information, communicate 33 00:01:31,840 --> 00:01:34,280 Speaker 1: things like that has has gotten pretty powerful. And the 34 00:01:34,319 --> 00:01:36,360 Speaker 1: way I was kind of looking at is like almost 35 00:01:36,360 --> 00:01:39,640 Speaker 1: like the elites the state. I probably call it the state. 36 00:01:39,640 --> 00:01:42,000 Speaker 1: I don't like to use the word elite, the state. 37 00:01:42,080 --> 00:01:44,560 Speaker 1: You know, their power comes from their ability to kind 38 00:01:44,560 --> 00:01:49,000 Speaker 1: of control this narrative. And they probably going like, oh shoot, 39 00:01:49,000 --> 00:01:51,520 Speaker 1: now they have this power of this internet, this technology, 40 00:01:51,800 --> 00:01:55,080 Speaker 1: Like what are we going to do about it? Dude? 41 00:01:55,120 --> 00:01:58,720 Speaker 2: I mean that is in essence the development of information 42 00:01:58,800 --> 00:02:00,920 Speaker 2: in society. I mean they talk about that in the 43 00:02:00,960 --> 00:02:03,760 Speaker 2: sovereign individual. Now that we are in the information age, 44 00:02:04,320 --> 00:02:08,000 Speaker 2: we don't have to have gatekeepers tell us certain things. 45 00:02:08,040 --> 00:02:15,640 Speaker 2: And these gatekeepers have historically always bended, fibbed, turned things 46 00:02:15,639 --> 00:02:19,720 Speaker 2: in a way that benefited themselves. And now people more 47 00:02:19,760 --> 00:02:22,520 Speaker 2: than just a couple individuals. Now we're seeing it in masks. 48 00:02:22,520 --> 00:02:25,359 Speaker 2: People are waking up to the fact that hey, this 49 00:02:25,480 --> 00:02:27,960 Speaker 2: system is bs. 50 00:02:28,440 --> 00:02:32,280 Speaker 1: Yeah. So this week we saw some big news. It's, 51 00:02:32,320 --> 00:02:34,359 Speaker 1: you know, as technology ramps up. I think this is 52 00:02:34,440 --> 00:02:36,400 Speaker 1: ramping up. I talk about this every week and sort 53 00:02:36,400 --> 00:02:39,160 Speaker 1: of like this collision course that we're on where like 54 00:02:40,000 --> 00:02:42,480 Speaker 1: we're getting more technology, it's sort of being a back 55 00:02:42,520 --> 00:02:44,120 Speaker 1: more power. But they starting to see this and they 56 00:02:44,160 --> 00:02:45,680 Speaker 1: want to kind of start closing that door. And so 57 00:02:45,720 --> 00:02:48,400 Speaker 1: there's like this, there's this battle that's coming and the 58 00:02:48,400 --> 00:02:49,880 Speaker 1: fight of our lives, if you will. And so this 59 00:02:49,919 --> 00:02:55,839 Speaker 1: week we saw Biden's latest attempt at controlling technology. Now, 60 00:02:55,880 --> 00:02:58,120 Speaker 1: of course he knows nothing about it, he doesn't even 61 00:02:58,160 --> 00:03:00,239 Speaker 1: know where he's at. But he put it through an 62 00:03:00,280 --> 00:03:02,440 Speaker 1: executive order. Now, first of all, I have offense to this. 63 00:03:02,520 --> 00:03:04,520 Speaker 1: Now I'm not going to call it just Biden for this. 64 00:03:05,040 --> 00:03:08,440 Speaker 1: Every president does this. But an executive order is basically 65 00:03:08,480 --> 00:03:09,800 Speaker 1: like I'm a dictator and I'm just going to make 66 00:03:09,800 --> 00:03:12,560 Speaker 1: a rule because I say I'm a dictator, and it 67 00:03:12,600 --> 00:03:15,760 Speaker 1: completely bypasses the democratic process. Like again, not just singling. 68 00:03:15,760 --> 00:03:18,040 Speaker 1: Now Biden, Trump did it as well, so did Obama, etc. 69 00:03:18,680 --> 00:03:22,600 Speaker 1: But Biden sure is doing a lot of these. I 70 00:03:22,600 --> 00:03:24,760 Speaker 1: haven't looked at the numbers, but I'm guessing he's setting 71 00:03:24,760 --> 00:03:26,960 Speaker 1: some records doing this. But either way, he set an 72 00:03:26,960 --> 00:03:32,239 Speaker 1: executive order to control or regulate AI, and what he's 73 00:03:32,280 --> 00:03:35,920 Speaker 1: demanding is equity. Now, a couple of things that I 74 00:03:35,920 --> 00:03:39,200 Speaker 1: saw on this is, first of all, you know, in 75 00:03:39,320 --> 00:03:41,720 Speaker 1: order for laws to work. Fa Hiak really framed this 76 00:03:41,800 --> 00:03:43,520 Speaker 1: up well in his book The Road to Serve Them, 77 00:03:43,680 --> 00:03:46,920 Speaker 1: and he talks about how laws are supposed to be interpreted, 78 00:03:47,040 --> 00:03:49,280 Speaker 1: be able to be interpreted by everybody, So they should 79 00:03:49,280 --> 00:03:51,720 Speaker 1: be simple enough that we can understand them, and specific 80 00:03:51,800 --> 00:03:53,600 Speaker 1: enough so we know how to apply them, and then 81 00:03:53,640 --> 00:03:55,920 Speaker 1: permanent enough that we can plan our life on them. 82 00:03:56,200 --> 00:04:00,360 Speaker 1: But these things seem very ambiguous. So for example, they 83 00:04:00,360 --> 00:04:06,040 Speaker 1: talk about how AI artificial intelligence holds extraordinary potential, but 84 00:04:06,280 --> 00:04:09,600 Speaker 1: it also could potentially harm us, so that's a tool, right. 85 00:04:10,080 --> 00:04:16,039 Speaker 1: And he talks about how disinformation could displace and disempower workers, 86 00:04:16,080 --> 00:04:20,920 Speaker 1: stifle competition, and pose risks to national security. So right there, 87 00:04:21,040 --> 00:04:26,960 Speaker 1: that piece pose risks to national security, disinformation and national security, 88 00:04:27,000 --> 00:04:29,200 Speaker 1: So those things jump out at me. I mean, what 89 00:04:29,960 --> 00:04:30,800 Speaker 1: did you think about that? 90 00:04:31,960 --> 00:04:34,720 Speaker 2: I mean, look, it's pulling on that heartstring. You are 91 00:04:35,360 --> 00:04:40,040 Speaker 2: unequivocally Unamerican if you think that anything under the guise 92 00:04:40,080 --> 00:04:43,120 Speaker 2: of for the sake of national security shouldn't be done 93 00:04:43,160 --> 00:04:44,919 Speaker 2: like that. That is sort of the play. It's the 94 00:04:44,920 --> 00:04:47,279 Speaker 2: same play as the Patrioted Act. Oh, you're not a 95 00:04:47,320 --> 00:04:49,360 Speaker 2: patriot if you don't support the Patriot Act, when in 96 00:04:49,400 --> 00:04:52,240 Speaker 2: fact it is some of the most Unamerican legislation we've 97 00:04:52,279 --> 00:04:54,960 Speaker 2: ever seen. In this in turn, is it's becoming that 98 00:04:55,000 --> 00:04:58,840 Speaker 2: we're just seeing more government overreach when they just don't 99 00:04:58,880 --> 00:05:00,239 Speaker 2: need to and they don't know what they're doing. 100 00:05:00,800 --> 00:05:03,120 Speaker 1: Yeah, and so the problem that I have is that 101 00:05:04,160 --> 00:05:06,960 Speaker 1: it seems to be and I haven't gone through and 102 00:05:06,960 --> 00:05:09,920 Speaker 1: actually put a quantitative number behind this, but the state 103 00:05:10,040 --> 00:05:13,240 Speaker 1: is the largest purveyor of disinformation over and over and 104 00:05:13,279 --> 00:05:16,440 Speaker 1: over again, it's the state pushing the disinformation, and so 105 00:05:16,520 --> 00:05:17,760 Speaker 1: for them to throw that out there and then the 106 00:05:17,839 --> 00:05:20,000 Speaker 1: risk of national security. So we don't know what that means. 107 00:05:20,000 --> 00:05:21,560 Speaker 1: But as we dig into this a little bit more, 108 00:05:22,520 --> 00:05:25,760 Speaker 1: we see that he says, my administration places the urgency 109 00:05:26,040 --> 00:05:30,920 Speaker 1: on developing the use of AI safely. So, like back 110 00:05:30,960 --> 00:05:36,200 Speaker 1: to that word safe safety safely, the quote has been 111 00:05:36,200 --> 00:05:38,920 Speaker 1: misatt reaated. We don't know as a Jefferson or Franklin 112 00:05:38,960 --> 00:05:42,520 Speaker 1: says that those who sacrifice freedom for safety deserve neither. 113 00:05:42,800 --> 00:05:45,680 Speaker 1: So we don't really know what this means. But the 114 00:05:45,680 --> 00:05:51,840 Speaker 1: federal government wants to have wide sweeping control to put 115 00:05:51,839 --> 00:05:55,279 Speaker 1: things into artificial intelligence to keep it safe. I mean, 116 00:05:55,320 --> 00:05:57,239 Speaker 1: what kind of things are they talking about safe? 117 00:05:58,160 --> 00:06:00,080 Speaker 2: I mean a lot of it goes back to you, 118 00:06:00,360 --> 00:06:03,000 Speaker 2: and I'm going to put my data analyst hat on. 119 00:06:03,279 --> 00:06:05,599 Speaker 2: There's an old saying when you build sort of machine 120 00:06:05,680 --> 00:06:08,880 Speaker 2: learning models or just models in general, garbage in, garbage out, 121 00:06:08,960 --> 00:06:10,600 Speaker 2: if you give it bad data, it's going to give 122 00:06:10,600 --> 00:06:13,599 Speaker 2: you a bad model. So there is an element of 123 00:06:13,600 --> 00:06:17,440 Speaker 2: this where it's like, Okay, they understand that component, sure, 124 00:06:17,480 --> 00:06:20,720 Speaker 2: but who are you to tell me what I can 125 00:06:20,800 --> 00:06:24,320 Speaker 2: and can't do? At its core, writing code is an 126 00:06:24,320 --> 00:06:27,080 Speaker 2: expression of free speech. I am typing up words on 127 00:06:27,080 --> 00:06:30,039 Speaker 2: my computer to then go and type up more words, 128 00:06:30,600 --> 00:06:33,839 Speaker 2: and then I could bore you with the nuances of 129 00:06:33,839 --> 00:06:37,479 Speaker 2: what actually is the definition of artificial intelligence. But what 130 00:06:37,560 --> 00:06:40,560 Speaker 2: we're seeing here is just clear as day government overreach. 131 00:06:41,360 --> 00:06:43,640 Speaker 1: He says that my administration cannot and will not tolerate 132 00:06:43,680 --> 00:06:46,800 Speaker 1: the use of AI to disadvantage those are who are 133 00:06:46,880 --> 00:06:51,760 Speaker 1: already too denied equal opportunity and justice. Is that a threat? 134 00:06:51,880 --> 00:06:55,200 Speaker 1: Is that what's happening? Is that a big deal? How 135 00:06:55,200 --> 00:06:56,039 Speaker 1: does that even work? 136 00:06:58,480 --> 00:07:01,719 Speaker 2: It's just a lot of empty promises that aren't really 137 00:07:01,720 --> 00:07:04,440 Speaker 2: going to be solved. This is not the arena to 138 00:07:04,480 --> 00:07:08,839 Speaker 2: solve these issues. We have laws in place that protect 139 00:07:08,960 --> 00:07:12,680 Speaker 2: us from things like copyright infringement, from having our money 140 00:07:12,720 --> 00:07:15,080 Speaker 2: stolen out of our bank accounts, and from countless other 141 00:07:15,200 --> 00:07:18,960 Speaker 2: laws that everyone's afraid AI is going to do. So 142 00:07:19,040 --> 00:07:22,560 Speaker 2: before they do those laws, we're going to stop them. 143 00:07:23,040 --> 00:07:26,800 Speaker 2: It's like that Minority Yeah, it's Minority Report all over again. 144 00:07:27,160 --> 00:07:29,240 Speaker 1: Yeah, it's just laws on top of laws on top 145 00:07:29,280 --> 00:07:31,240 Speaker 1: of laws. The problem that I see with this is 146 00:07:31,280 --> 00:07:35,400 Speaker 1: that what we've seen countless examples, and there's been numerous 147 00:07:35,640 --> 00:07:39,560 Speaker 1: reports and studies and tests done how open AI, which 148 00:07:39,600 --> 00:07:43,600 Speaker 1: was supposed to be open and other now other AI 149 00:07:43,720 --> 00:07:47,600 Speaker 1: models as well, Language learning models lms, as you mentioned earlier, 150 00:07:48,200 --> 00:07:50,960 Speaker 1: have been fed a certain type of data, so then 151 00:07:51,040 --> 00:07:54,680 Speaker 1: they recite, they regurgitate information they got from the data sources. 152 00:07:54,680 --> 00:07:57,840 Speaker 1: They were fed. It's always seen through countless tests and 153 00:07:57,840 --> 00:08:01,120 Speaker 1: studies is that it's very leaning to one side, left 154 00:08:01,200 --> 00:08:05,080 Speaker 1: leaning on one side. Now, just this week, I think 155 00:08:05,400 --> 00:08:09,560 Speaker 1: Elon Musk and Twitter Launch launched their groc or what 156 00:08:09,600 --> 00:08:15,000 Speaker 1: are they called xai It's called grock Ai, grocke XI. 157 00:08:15,680 --> 00:08:19,760 Speaker 1: And his goal was to have something to counter the 158 00:08:19,880 --> 00:08:22,840 Speaker 1: left leaning l ms, which is great, right, And we 159 00:08:22,880 --> 00:08:26,120 Speaker 1: should have a free market, shouldn't we see what happens 160 00:08:26,120 --> 00:08:28,000 Speaker 1: and see what competes and I can go check different 161 00:08:28,040 --> 00:08:30,240 Speaker 1: ones for different sources. I do that all the time, 162 00:08:30,320 --> 00:08:33,600 Speaker 1: Like I use dut duto as my main search engine, 163 00:08:34,360 --> 00:08:36,120 Speaker 1: and a lot of times I'll jump onto Google. See 164 00:08:36,120 --> 00:08:38,360 Speaker 1: what resorts I get onto Google. Sometimes I go jump 165 00:08:38,360 --> 00:08:42,840 Speaker 1: over on being so like, shouldn't we just have multiple sources. 166 00:08:43,440 --> 00:08:47,160 Speaker 2: I'll even bring it back to AI. I use both Chat, 167 00:08:47,200 --> 00:08:49,960 Speaker 2: GPT and bart and there are countless other AI tools 168 00:08:49,960 --> 00:08:52,200 Speaker 2: like just to keep it simple and you can sort 169 00:08:52,200 --> 00:08:54,800 Speaker 2: of if you play with these tools enough, you know 170 00:08:54,880 --> 00:08:58,120 Speaker 2: what the advantages of one is over the other. So 171 00:08:59,000 --> 00:09:02,440 Speaker 2: the free market should be allowed to operate here and 172 00:09:02,480 --> 00:09:06,160 Speaker 2: give consumers the opportunity to find the product that best 173 00:09:06,200 --> 00:09:07,440 Speaker 2: serves them and their needs. 174 00:09:08,880 --> 00:09:10,360 Speaker 1: If you're just tuned in, you're listening to the Mark 175 00:09:10,400 --> 00:09:14,040 Speaker 1: mas Show. We're talking about the paddle over technology. The 176 00:09:14,280 --> 00:09:16,040 Speaker 1: fight of our lives really is what I'm calling it. 177 00:09:16,559 --> 00:09:19,560 Speaker 1: We're breaking down this new executive order that Biden just signed, 178 00:09:19,600 --> 00:09:21,920 Speaker 1: and then we're going to jump into some bombshells that 179 00:09:22,000 --> 00:09:24,599 Speaker 1: were just revealed through Rep. Jim Jordan and more. We 180 00:09:24,720 --> 00:09:26,520 Speaker 1: back in a minute. Don't go away, We're back, all right, 181 00:09:26,520 --> 00:09:28,040 Speaker 1: Welcome back. If you're just tune in, you're listening to 182 00:09:28,080 --> 00:09:31,360 Speaker 1: the Mark mass Show. I'm sitting down with Q and 183 00:09:31,400 --> 00:09:33,319 Speaker 1: we are talking about a couple of stories that we're 184 00:09:33,360 --> 00:09:36,880 Speaker 1: in the news today this week, talking about how the 185 00:09:36,920 --> 00:09:38,360 Speaker 1: battle for the fight of our lives is right in 186 00:09:38,360 --> 00:09:40,080 Speaker 1: front of us, and it's really for the battle over 187 00:09:40,520 --> 00:09:42,960 Speaker 1: freedom of speech, freedom of expression, and really the control 188 00:09:43,000 --> 00:09:45,959 Speaker 1: over technology. And we're talking about this new executive order 189 00:09:45,960 --> 00:09:49,280 Speaker 1: that the Bide Administration put together for artificial intelligence and 190 00:09:49,360 --> 00:09:51,840 Speaker 1: some of the things we're talking about how lots of 191 00:09:51,880 --> 00:09:55,160 Speaker 1: tests and results have shown for the llm's language learning 192 00:09:55,160 --> 00:09:57,360 Speaker 1: models of opening. I to be very left leaning, and 193 00:09:57,400 --> 00:10:00,560 Speaker 1: now Elon Musk has created one to count that, as 194 00:10:00,559 --> 00:10:04,760 Speaker 1: he says, the problem that I think that's great we 195 00:10:04,840 --> 00:10:06,199 Speaker 1: just kind of talked about that. But the problem that 196 00:10:06,240 --> 00:10:08,320 Speaker 1: I have in some of this language on this EO 197 00:10:08,760 --> 00:10:11,280 Speaker 1: Executive Order is some of the things where they talked 198 00:10:11,280 --> 00:10:16,000 Speaker 1: about that they want to use in the Defense Production Act. 199 00:10:16,040 --> 00:10:18,600 Speaker 1: The order increases federal oversight and regulatory scrutiny of the 200 00:10:18,600 --> 00:10:23,880 Speaker 1: industry by creating new reporting requirements. So they want to 201 00:10:23,920 --> 00:10:28,680 Speaker 1: have complete oversight and regulatory scrutiny of everything that everybody's doing. 202 00:10:29,200 --> 00:10:31,960 Speaker 1: And what do they want to see. Well, they want 203 00:10:32,000 --> 00:10:37,240 Speaker 1: people to report all of the testing, the training of 204 00:10:37,320 --> 00:10:41,120 Speaker 1: the AI of the LM. So they order further calls 205 00:10:41,120 --> 00:10:43,920 Speaker 1: for AI companies to report on training, security, and testing 206 00:10:43,960 --> 00:10:46,760 Speaker 1: of the AM models. So they want to see what 207 00:10:47,000 --> 00:10:51,079 Speaker 1: are you feeding the model. It requires that AI developers 208 00:10:51,120 --> 00:10:55,679 Speaker 1: provide safety test results. Now that sounds good, like I 209 00:10:55,880 --> 00:10:58,840 Speaker 1: want to be safe, but what do they deem safety? So, 210 00:10:58,960 --> 00:11:01,880 Speaker 1: for example, if you look at reports from the Department 211 00:11:01,920 --> 00:11:05,360 Speaker 1: of Home Security and the FBI, they say the greatest 212 00:11:05,400 --> 00:11:11,400 Speaker 1: threats to America right now are disinformation, malinformation, and anything 213 00:11:11,480 --> 00:11:15,640 Speaker 1: that could undermine the state, the confidence in the state. 214 00:11:15,760 --> 00:11:19,840 Speaker 1: So you go back to security right and it's like 215 00:11:20,400 --> 00:11:25,320 Speaker 1: if this were to put out it was actually Alex Epstein. I' 216 00:11:25,320 --> 00:11:26,920 Speaker 1: foun him on my show before he wrote the book 217 00:11:26,920 --> 00:11:29,360 Speaker 1: Fossil Future, and he was showing how he was asking 218 00:11:29,400 --> 00:11:33,800 Speaker 1: open AI to talk about energy fossil fuels and it 219 00:11:33,800 --> 00:11:37,160 Speaker 1: couldn't even reply. So if the state says that fossil 220 00:11:37,200 --> 00:11:39,920 Speaker 1: fuels are a threat to national security, then all of 221 00:11:39,920 --> 00:11:42,360 Speaker 1: a sudden AI can't have that. So it's like they're 222 00:11:42,400 --> 00:11:46,480 Speaker 1: creating like this regulatory body that's for safety, but at 223 00:11:46,480 --> 00:11:48,920 Speaker 1: the end of the day, it requires permission. Is that 224 00:11:48,960 --> 00:11:50,240 Speaker 1: how you read it or is that just where my 225 00:11:50,280 --> 00:11:50,760 Speaker 1: mind goes? 226 00:11:51,320 --> 00:11:54,360 Speaker 2: No, I think you're absolutely right. It's this idea of 227 00:11:54,480 --> 00:12:00,200 Speaker 2: just utter and complete control. Like I am not don't 228 00:12:00,200 --> 00:12:05,120 Speaker 2: even consider myself a coder. However I am proficient at Python. 229 00:12:05,160 --> 00:12:07,000 Speaker 2: I can get away with it. I could build an 230 00:12:07,120 --> 00:12:10,199 Speaker 2: LLM for you, very poorly, but I could do it. 231 00:12:10,679 --> 00:12:15,000 Speaker 2: But now I couldn't even try to hone that skill 232 00:12:15,600 --> 00:12:17,960 Speaker 2: to a certain degree. At a certain point, I have 233 00:12:18,000 --> 00:12:20,200 Speaker 2: to be subject to certain regulations. And the fact of 234 00:12:20,200 --> 00:12:23,480 Speaker 2: the matter is the government has proven to us, not 235 00:12:23,520 --> 00:12:25,440 Speaker 2: just shown us, but proven to us over the course 236 00:12:25,440 --> 00:12:27,880 Speaker 2: of its history that the people it puts in charge 237 00:12:27,920 --> 00:12:30,959 Speaker 2: of these positions like, oh, I don't know the guy 238 00:12:31,000 --> 00:12:33,160 Speaker 2: you were talking about the last hour, mister Gary Gensler, 239 00:12:33,200 --> 00:12:36,520 Speaker 2: in charge of securities. They don't actually know what they're 240 00:12:36,559 --> 00:12:39,319 Speaker 2: doing in these roles, and they don't know how to 241 00:12:39,679 --> 00:12:43,720 Speaker 2: their roles impact these things, let alone how to properly 242 00:12:43,720 --> 00:12:47,320 Speaker 2: build an LLM or some other machine learning algorithm. 243 00:12:47,679 --> 00:12:49,640 Speaker 1: Yeah. Now, some of the things I saw on here 244 00:12:49,679 --> 00:12:52,520 Speaker 1: that it maybe seem kind of good to me. You know, 245 00:12:54,120 --> 00:12:55,679 Speaker 1: my dad told me when I was eighteen i learned 246 00:12:55,679 --> 00:12:57,160 Speaker 1: how to vote. He said that to remember every time 247 00:12:57,160 --> 00:12:58,719 Speaker 1: we vote for a law, and whether it's good or bad, 248 00:12:58,760 --> 00:13:01,640 Speaker 1: it's less freedom. Some of these things they sound good, 249 00:13:02,000 --> 00:13:04,160 Speaker 1: but it's like, do we really need them? So, for example, 250 00:13:04,760 --> 00:13:08,520 Speaker 1: hid Biden's order further directs the Commerce Department to identify 251 00:13:08,600 --> 00:13:12,760 Speaker 1: science backstandards and techniques for detecting synthetic content. And so 252 00:13:12,800 --> 00:13:16,560 Speaker 1: what they're saying is that using AI, you could take 253 00:13:16,600 --> 00:13:19,880 Speaker 1: somebody's likeness and you could you could manipulate it. So 254 00:13:19,880 --> 00:13:23,120 Speaker 1: it s specifically calls for preventing generative AI from producing 255 00:13:23,200 --> 00:13:26,679 Speaker 1: child sexual abuse. Okay, that sounds great. I'm for that 256 00:13:27,320 --> 00:13:32,760 Speaker 1: producing non consensual intimate imagery of real individuals and deep fakes. 257 00:13:32,840 --> 00:13:35,520 Speaker 1: So like that sounds good. So I certainly don't want 258 00:13:35,600 --> 00:13:40,120 Speaker 1: child sexual abuse to happen. I certainly wouldn't want non 259 00:13:40,200 --> 00:13:44,480 Speaker 1: consensual intimate imagy or deep fakes of myself produced. So 260 00:13:45,360 --> 00:13:46,520 Speaker 1: that sounds good, right. 261 00:13:48,679 --> 00:13:51,320 Speaker 2: It does. But then the question I have to ask 262 00:13:51,360 --> 00:13:56,480 Speaker 2: you is that is an infringement on your name, your image, 263 00:13:56,520 --> 00:13:59,560 Speaker 2: your likeness. So it's a copyright infringement. It's also potentially, 264 00:13:59,640 --> 00:14:01,920 Speaker 2: depending on what the deep fank is doing or saying 265 00:14:01,960 --> 00:14:05,920 Speaker 2: with you, it could be libel. It could be any 266 00:14:06,160 --> 00:14:09,120 Speaker 2: host of other pre existing laws that we have in 267 00:14:09,160 --> 00:14:15,120 Speaker 2: place to actually handle these issues. So, and the funny thing, 268 00:14:15,120 --> 00:14:17,400 Speaker 2: and I was kind of telling you before we went live, 269 00:14:18,720 --> 00:14:21,680 Speaker 2: at this point in time in twenty twenty three, whether 270 00:14:21,760 --> 00:14:25,160 Speaker 2: you only watch content on YouTube or you watch Netflix, 271 00:14:25,320 --> 00:14:27,520 Speaker 2: you go to the movie theater, it doesn't matter. We've 272 00:14:27,560 --> 00:14:30,840 Speaker 2: reached a point where there is so much computer generated 273 00:14:30,920 --> 00:14:34,880 Speaker 2: content that like, what is that line? What is that 274 00:14:34,960 --> 00:14:38,800 Speaker 2: line of synthetic content versus computer generated content that gets 275 00:14:38,920 --> 00:14:39,880 Speaker 2: dinged or not dinged? 276 00:14:40,400 --> 00:14:42,840 Speaker 1: Yeah. So, and like you said, we have laws in 277 00:14:42,880 --> 00:14:45,640 Speaker 1: place for that. So if somebody uses my likeness and 278 00:14:45,720 --> 00:14:47,400 Speaker 1: says something I don't want to say, then we have 279 00:14:47,480 --> 00:14:50,520 Speaker 1: defamation and liable We have things already that are there, 280 00:14:50,520 --> 00:14:52,360 Speaker 1: So it's like, do we need to continue to stack 281 00:14:52,440 --> 00:14:56,400 Speaker 1: more things? And you know, the problem that I have 282 00:14:56,560 --> 00:14:59,160 Speaker 1: is that it just creates all these again back to 283 00:14:59,560 --> 00:15:02,720 Speaker 1: the law being very ambiguous. And the reason why that's 284 00:15:02,920 --> 00:15:04,320 Speaker 1: a good thing for them and a bad thing for 285 00:15:04,400 --> 00:15:07,520 Speaker 1: us is then they can arbitrarily choose to apply that. 286 00:15:08,200 --> 00:15:09,920 Speaker 1: So they can apply it to you and not to me. 287 00:15:10,640 --> 00:15:12,360 Speaker 1: You don't really for the definition, Oh you do right, 288 00:15:12,440 --> 00:15:14,600 Speaker 1: kind of a thing like that. We can see that, 289 00:15:14,640 --> 00:15:16,360 Speaker 1: you know, they could use the federal government could use 290 00:15:16,400 --> 00:15:21,440 Speaker 1: this to strong arm AI companies into making whatever concepts 291 00:15:21,480 --> 00:15:24,960 Speaker 1: like let's say critical race theory a foundational concept of 292 00:15:25,040 --> 00:15:28,320 Speaker 1: their models, for example. So you don't even know this. 293 00:15:28,320 --> 00:15:30,160 Speaker 1: This is something I talk about. I wrote the book 294 00:15:30,200 --> 00:15:35,040 Speaker 1: The Shameless Plug, the Uncommunist Manifesto. And because Marxism is 295 00:15:35,120 --> 00:15:39,600 Speaker 1: so ingrained into our education system, most professors and teachers 296 00:15:39,680 --> 00:15:43,200 Speaker 1: don't know they're Marxists. They don't know that they didn't 297 00:15:43,240 --> 00:15:45,680 Speaker 1: purposely go out to become a Marxist. They just don't 298 00:15:45,680 --> 00:15:48,240 Speaker 1: realize that they've been indoctrinated in this. And so you 299 00:15:48,280 --> 00:15:52,200 Speaker 1: start to embed these types of principles and foundations and 300 00:15:52,240 --> 00:15:55,560 Speaker 1: building blocks into these tools that will start to use. 301 00:15:55,600 --> 00:15:58,280 Speaker 1: We'll start to go get information from this, and it's 302 00:15:58,280 --> 00:16:01,800 Speaker 1: starting to feed us back these principles, and without us 303 00:16:01,880 --> 00:16:06,160 Speaker 1: even knowing it, it starts to change the entire concept 304 00:16:06,320 --> 00:16:08,600 Speaker 1: of what America is, the way that we think. And 305 00:16:08,680 --> 00:16:10,200 Speaker 1: this is sort of what I framed up in the 306 00:16:10,200 --> 00:16:13,880 Speaker 1: Battle for the Fate of Humanity, which is that history, 307 00:16:14,400 --> 00:16:16,520 Speaker 1: the long arm of history, is just a series of 308 00:16:16,680 --> 00:16:21,400 Speaker 1: never ending freedom, oppression, revolution. It's just revolution after revolution 309 00:16:21,440 --> 00:16:24,080 Speaker 1: after a revolution. But I think that cycle could be 310 00:16:24,080 --> 00:16:27,960 Speaker 1: broken because with technologies like this, we start using AI 311 00:16:28,040 --> 00:16:31,040 Speaker 1: to think for us, we use social media, it starts 312 00:16:31,040 --> 00:16:34,840 Speaker 1: to condition our thinking. It's able to censor and stop 313 00:16:34,880 --> 00:16:39,160 Speaker 1: any sort of dissent type of thought. They could potentially 314 00:16:39,200 --> 00:16:42,320 Speaker 1: stop a revolution from ever happening again. And we could 315 00:16:42,320 --> 00:16:45,960 Speaker 1: be living in this like dystopian matrix type world where 316 00:16:45,960 --> 00:16:48,240 Speaker 1: they're just feeding us from the time that we're born 317 00:16:48,960 --> 00:16:52,680 Speaker 1: this narrative, this model, and we're never able to really 318 00:16:52,760 --> 00:16:55,480 Speaker 1: break through. Anybody who sort of breaks free, you could 319 00:16:55,480 --> 00:16:57,920 Speaker 1: be just stopped almost instantly. It's very scary, but at 320 00:16:57,960 --> 00:16:59,760 Speaker 1: the same time, it's very real the power of this 321 00:16:59,800 --> 00:17:00,800 Speaker 1: technology to do that. 322 00:17:02,560 --> 00:17:09,879 Speaker 2: No, absolutely, there are unintended consequences, absolutely, But I firmly 323 00:17:09,960 --> 00:17:15,080 Speaker 2: go back to any example that's presented of well, this 324 00:17:15,160 --> 00:17:17,080 Speaker 2: nefarious thing could be done with AI, or you can 325 00:17:17,119 --> 00:17:21,440 Speaker 2: create and that's illegal. There's aren't there's a law in place, right, 326 00:17:21,480 --> 00:17:24,399 Speaker 2: we don't. We don't need more laws, we especially not 327 00:17:24,560 --> 00:17:28,680 Speaker 2: when it comes to technology that is being developed. That is, 328 00:17:29,320 --> 00:17:33,440 Speaker 2: this is next gen technology as cliche as catch catchphraezy 329 00:17:33,480 --> 00:17:36,000 Speaker 2: as that is, this is the future that we've been 330 00:17:36,040 --> 00:17:39,440 Speaker 2: promised for a very long time. To stifle the development 331 00:17:39,480 --> 00:17:44,120 Speaker 2: of this tech now it's it's lherquently unamerican. 332 00:17:44,960 --> 00:17:48,040 Speaker 1: There's some more revelations that I want to dig into. Rep. 333 00:17:48,119 --> 00:17:51,480 Speaker 1: Jim Jordan blew something wide open or something called the 334 00:17:51,560 --> 00:17:54,400 Speaker 1: ei P and something called SISA that's going on there 335 00:17:54,400 --> 00:17:56,480 Speaker 1: you need to know about. That really builds into this narrative. 336 00:17:56,480 --> 00:17:58,040 Speaker 1: But I got to take a quick break. If you're 337 00:17:58,040 --> 00:18:00,239 Speaker 1: just tuning in listening to the Mark Mass Show, we're 338 00:18:00,320 --> 00:18:02,800 Speaker 1: running through some things that happened this week that show 339 00:18:02,840 --> 00:18:05,359 Speaker 1: you the battle for the fate of humanity, the battle 340 00:18:05,359 --> 00:18:07,600 Speaker 1: of our life is right here at the gate. We'll 341 00:18:07,640 --> 00:18:08,960 Speaker 1: dig more into that when we come back. Don't go 342 00:18:08,960 --> 00:18:10,560 Speaker 1: a wait, We're back, all right, welcome back. If you're 343 00:18:10,560 --> 00:18:12,280 Speaker 1: just tune in, you're listening to the Mark mass Show. 344 00:18:12,320 --> 00:18:14,639 Speaker 1: We're talking about some of these stories that just happened 345 00:18:14,640 --> 00:18:18,280 Speaker 1: this week that really illustrate the balance of power shifting 346 00:18:18,560 --> 00:18:22,120 Speaker 1: with technology and it's really leading us into the fight 347 00:18:22,200 --> 00:18:25,040 Speaker 1: of our life. And we're talking about the power of 348 00:18:25,160 --> 00:18:28,040 Speaker 1: us using technology for freedom or the government's using technology 349 00:18:28,080 --> 00:18:31,400 Speaker 1: to censor us. And this week we saw a bombshell 350 00:18:31,440 --> 00:18:36,320 Speaker 1: report Rep. Jim Jordan, who almost became the Speaker of 351 00:18:36,320 --> 00:18:38,960 Speaker 1: the House. He didn't get the votes, but he kind 352 00:18:38,960 --> 00:18:40,879 Speaker 1: of broke this wide open with lots of other people, 353 00:18:41,440 --> 00:18:45,560 Speaker 1: but talking about the censorship industrial complex, hundreds of secret 354 00:18:45,600 --> 00:18:53,400 Speaker 1: supports showing that Homeland Security, the DHS, Cyber Security Infrastructure, SISA, 355 00:18:53,840 --> 00:18:57,440 Speaker 1: and lots of other things. We're working together with Stanford 356 00:18:57,880 --> 00:19:03,160 Speaker 1: NGOs like the Atlantic Council and big tech to purposely 357 00:19:03,440 --> 00:19:07,520 Speaker 1: censor Americans before the twenty twenty election, including true information, 358 00:19:07,680 --> 00:19:12,000 Speaker 1: jokes and opinions to steer the election. They worked through 359 00:19:12,000 --> 00:19:17,400 Speaker 1: something called the EIP, which is the Election Integrity Partnership, 360 00:19:17,640 --> 00:19:21,760 Speaker 1: and they created this EIP Election Integrity Partnership to monitor 361 00:19:22,160 --> 00:19:25,520 Speaker 1: and censor American speech. This is a big deal. They 362 00:19:25,520 --> 00:19:28,879 Speaker 1: have smoking guns. They have videos of them having conversations. 363 00:19:28,920 --> 00:19:32,440 Speaker 1: One of the videos I saw, somebody from the EEP 364 00:19:32,640 --> 00:19:34,639 Speaker 1: was saying, these are things that the government can't do, 365 00:19:34,680 --> 00:19:37,080 Speaker 1: so we really need, we really need to rely on 366 00:19:37,119 --> 00:19:39,120 Speaker 1: you to do these things for us. Things like that. 367 00:19:39,400 --> 00:19:44,000 Speaker 1: So the stakeholders were the federal government submitting misinformation reports. 368 00:19:44,160 --> 00:19:46,800 Speaker 1: They would then use big tech to censor, and like 369 00:19:46,840 --> 00:19:49,200 Speaker 1: I said, even things that were known to be true, 370 00:19:49,720 --> 00:19:53,359 Speaker 1: such as jokes and political opinions. They gave example or 371 00:19:53,520 --> 00:19:59,120 Speaker 1: they had lists of certain alternative news sources and commentators 372 00:19:59,160 --> 00:20:03,360 Speaker 1: that were purpose being censored, like Dave Rubin for example, 373 00:20:03,400 --> 00:20:05,800 Speaker 1: things like that, what did you think about this? Reporters 374 00:20:05,800 --> 00:20:06,359 Speaker 1: you read through a Q. 375 00:20:09,440 --> 00:20:12,480 Speaker 2: I'd say, I'm surprised at this point, but given. 376 00:20:12,920 --> 00:20:15,360 Speaker 1: How could you be surprised about anything at this point? 377 00:20:15,400 --> 00:20:19,000 Speaker 2: Exactly? All all cards are on the table. But you 378 00:20:19,040 --> 00:20:23,720 Speaker 2: know the thing that just you try to laugh in 379 00:20:23,800 --> 00:20:29,680 Speaker 2: moments of just sare pain like this. The Election Integrity Partnership, 380 00:20:29,720 --> 00:20:38,280 Speaker 2: the EIP was created to keep election integrity, but did 381 00:20:38,280 --> 00:20:40,840 Speaker 2: the very thing it was fighting again, Like it's. 382 00:20:40,480 --> 00:20:42,920 Speaker 1: Just I would, I would, I would stop you on that. 383 00:20:43,200 --> 00:20:46,679 Speaker 1: I believe that almost every government I hate to use 384 00:20:46,720 --> 00:20:50,800 Speaker 1: that word. But but yeah, maybe almost every government policy 385 00:20:50,880 --> 00:20:53,040 Speaker 1: or agency they put together does the opposite of what 386 00:20:53,080 --> 00:20:57,159 Speaker 1: the total So the Inlation Reduction Act spending twenty one 387 00:20:57,200 --> 00:21:00,480 Speaker 1: point seven trillion dollars. Right, Uh so the I don't 388 00:21:00,480 --> 00:21:04,560 Speaker 1: I wouldn't say it was created to create true integrity 389 00:21:04,560 --> 00:21:07,480 Speaker 1: in the election. It was created to create integrity for 390 00:21:07,720 --> 00:21:08,960 Speaker 1: their outcome. 391 00:21:09,320 --> 00:21:13,600 Speaker 2: Or a guys of integrity, sort of like this smoke 392 00:21:13,680 --> 00:21:17,320 Speaker 2: screen of see, look, we we care, we fight the 393 00:21:17,320 --> 00:21:19,280 Speaker 2: good fight. But then if you actually like peel back 394 00:21:19,320 --> 00:21:21,719 Speaker 2: the curtain and you see what's going on there, you 395 00:21:21,760 --> 00:21:27,440 Speaker 2: see stuff that would make third world leaders applaud, cheer 396 00:21:27,640 --> 00:21:32,119 Speaker 2: and like be proud, and this is happening in America. 397 00:21:32,520 --> 00:21:35,640 Speaker 2: This isn't it's on our neighbors to the north. It's 398 00:21:35,680 --> 00:21:39,280 Speaker 2: not the cartel down south or any of the countries 399 00:21:39,320 --> 00:21:42,720 Speaker 2: that we've torn apart throughout Central and South America or 400 00:21:42,760 --> 00:21:45,680 Speaker 2: anywhere in the Middle East. No, this is America. These 401 00:21:45,680 --> 00:21:46,960 Speaker 2: are our leaders right now. 402 00:21:47,000 --> 00:21:53,879 Speaker 1: That's yeah, yeah about it, Yeah, exactly. Now. There was 403 00:21:53,920 --> 00:21:58,840 Speaker 1: an after the twenty twenty election was over, Time Magazine 404 00:21:59,640 --> 00:22:04,920 Speaker 1: wrote an article in Time Magazine entitled The Secret History 405 00:22:05,040 --> 00:22:08,399 Speaker 1: of the Shadow Campaign that saved the twenty twenty election. 406 00:22:08,960 --> 00:22:10,800 Speaker 1: That's the name of in Time magazine. You go look 407 00:22:10,840 --> 00:22:14,120 Speaker 1: it up for yourself. And in this they talked about 408 00:22:14,160 --> 00:22:18,760 Speaker 1: this invisible cabal that worked together to rig the election 409 00:22:18,920 --> 00:22:23,040 Speaker 1: against Donald Trump. Okay, so this is in Time magazine 410 00:22:23,240 --> 00:22:25,320 Speaker 1: and they talk about how they did all these things 411 00:22:25,320 --> 00:22:29,320 Speaker 1: to work with the social media platforms to win the election. 412 00:22:29,480 --> 00:22:32,240 Speaker 1: We did it, we won. Go look it up for yourself, 413 00:22:32,280 --> 00:22:35,040 Speaker 1: Time Magazine. The secret history of the shadow campaign that 414 00:22:35,080 --> 00:22:38,600 Speaker 1: saved the twenty twenty election. So this wasn't about it 415 00:22:38,640 --> 00:22:42,560 Speaker 1: was about it was about securing the integrity that would 416 00:22:42,640 --> 00:22:45,679 Speaker 1: lead to the outcome that they wanted, rather the integrity 417 00:22:45,720 --> 00:22:47,960 Speaker 1: of a free and open So they start and this 418 00:22:48,000 --> 00:22:50,280 Speaker 1: is sort of like Marxism. They start to distort these 419 00:22:50,359 --> 00:22:53,320 Speaker 1: words because you and I and this is a big thing. 420 00:22:53,960 --> 00:22:56,280 Speaker 1: In my book on Uncompress Manifesto, we open up the 421 00:22:56,320 --> 00:22:59,320 Speaker 1: book with definitions. And if you listen to some of 422 00:22:59,359 --> 00:23:02,520 Speaker 1: these voices, these academics, you know, like a Jordan Peterson, 423 00:23:02,520 --> 00:23:07,600 Speaker 1: for example, he's very clear on using definitions. You always 424 00:23:07,640 --> 00:23:09,920 Speaker 1: have to define what the word is. And the part 425 00:23:09,920 --> 00:23:11,840 Speaker 1: of the reason why doctor James Lindsay is very very 426 00:23:11,840 --> 00:23:14,520 Speaker 1: good about this. He's probably the leader in the Marxist 427 00:23:14,640 --> 00:23:18,440 Speaker 1: neo Marxist kind of movement, and he's always trying to 428 00:23:18,600 --> 00:23:22,080 Speaker 1: explain the definition of these words because they the other side, 429 00:23:22,119 --> 00:23:24,520 Speaker 1: they're using these words to mean different things than what 430 00:23:24,600 --> 00:23:27,840 Speaker 1: you and I think they mean. And so when they 431 00:23:27,880 --> 00:23:31,240 Speaker 1: say democracy, for example, when they say like freedom is 432 00:23:31,280 --> 00:23:33,679 Speaker 1: a threat to our democracy or a freedom of speech 433 00:23:33,680 --> 00:23:35,880 Speaker 1: and theftour democracy, how could that be because this isn't 434 00:23:35,960 --> 00:23:39,080 Speaker 1: democracy like what the public wants. So if you don't 435 00:23:39,160 --> 00:23:41,679 Speaker 1: let the public is different. But their definition of the 436 00:23:41,680 --> 00:23:44,600 Speaker 1: word democracy is different. Their definition of the word integrity 437 00:23:44,640 --> 00:23:47,360 Speaker 1: is different. I guess I. 438 00:23:47,320 --> 00:23:49,600 Speaker 2: Mean it must be nice when you write your own 439 00:23:49,680 --> 00:23:52,800 Speaker 2: rules and write the rules for everyone else, say the least. 440 00:23:54,000 --> 00:23:57,359 Speaker 1: Yeah, And so we know that the First Amendment guarantees 441 00:23:57,440 --> 00:23:59,880 Speaker 1: us the freedom of speech and the government's not able 442 00:23:59,880 --> 00:24:02,240 Speaker 1: to infringe on that. But this goes back to like 443 00:24:02,240 --> 00:24:04,200 Speaker 1: I said, this EEP was saying, hey, there's certain things 444 00:24:04,200 --> 00:24:05,959 Speaker 1: we can't do, so we're relying on you to do this. 445 00:24:06,280 --> 00:24:08,719 Speaker 1: And so the government sort of had this plausible deniability 446 00:24:08,760 --> 00:24:11,560 Speaker 1: where they're like, hey, it's not us, it's Facebook, it's 447 00:24:11,600 --> 00:24:14,960 Speaker 1: YouTube doing it, it's Twitter doing it. But now we 448 00:24:15,160 --> 00:24:18,000 Speaker 1: have the documents to see that it was the governments 449 00:24:18,040 --> 00:24:20,480 Speaker 1: that were pressuring them to do this all along. I mean, 450 00:24:20,520 --> 00:24:22,919 Speaker 1: it's just so dirty. And now I've even seen some 451 00:24:23,080 --> 00:24:26,679 Speaker 1: like some testimony where they're like they're talking to like 452 00:24:26,760 --> 00:24:31,720 Speaker 1: Department Homeland Security head may Orchis and they're like sort 453 00:24:31,720 --> 00:24:35,480 Speaker 1: of like denying it, but like they're like using this 454 00:24:35,600 --> 00:24:39,160 Speaker 1: like legally speak to like not really lie under oath, 455 00:24:39,240 --> 00:24:41,240 Speaker 1: but like not being honest either. I don't know if 456 00:24:41,240 --> 00:24:41,919 Speaker 1: you've seen some of that. 457 00:24:42,040 --> 00:24:46,719 Speaker 2: No, it is. This is the purpose of NGO's like 458 00:24:46,840 --> 00:24:52,160 Speaker 2: the Atlantic Council. It affords an extra layer of separation, 459 00:24:52,520 --> 00:24:55,240 Speaker 2: so the head of the Homeland Security can go on 460 00:24:55,240 --> 00:24:58,160 Speaker 2: the stage and be like, well, it didn't directly come 461 00:24:58,200 --> 00:25:01,280 Speaker 2: from us, it came from this other group, where like 462 00:25:01,320 --> 00:25:03,199 Speaker 2: if you do some digging, you come to realize, oh, 463 00:25:03,359 --> 00:25:07,880 Speaker 2: the Atlantic Council is just like a secret government funded 464 00:25:08,040 --> 00:25:12,240 Speaker 2: organization and group that pushes forward a very focused agenda 465 00:25:12,359 --> 00:25:15,439 Speaker 2: for a specific group of people. You don't know that. 466 00:25:15,680 --> 00:25:19,400 Speaker 2: It's almost like the same thing that like confused Americans 467 00:25:19,520 --> 00:25:23,080 Speaker 2: about the Iraq War and nine to eleven of oh, 468 00:25:23,080 --> 00:25:24,560 Speaker 2: we were bombed by al Qaeda, but we're going to 469 00:25:24,640 --> 00:25:27,040 Speaker 2: go to war in Iraq with who's al Qaida. It's 470 00:25:27,080 --> 00:25:30,080 Speaker 2: the same thing of well it's Twitter and Facebook, but 471 00:25:30,119 --> 00:25:32,280 Speaker 2: they're saying it's the government. Yeah, but it's the Atlantic Council, 472 00:25:32,440 --> 00:25:34,440 Speaker 2: so it's not the government. Well they kind of are, 473 00:25:34,480 --> 00:25:35,280 Speaker 2: but they're kind of not. 474 00:25:35,920 --> 00:25:38,879 Speaker 1: Yeah, I mean they have like multiple CIA people on 475 00:25:38,920 --> 00:25:41,080 Speaker 1: their board. I mean, it's basically the government, but kind 476 00:25:41,080 --> 00:25:42,960 Speaker 1: of not. So here's sort of how it works. So 477 00:25:43,000 --> 00:25:47,000 Speaker 1: the EP Election Integrity Partnership, they're you know, what they 478 00:25:47,000 --> 00:25:49,960 Speaker 1: did is they used external stakeholders. So these would be 479 00:25:50,040 --> 00:25:54,359 Speaker 1: federal agencies organizations funded by the federal government, but sort 480 00:25:54,359 --> 00:25:57,000 Speaker 1: of like they're funded by them, but a little bit different. Maybe. 481 00:25:57,240 --> 00:25:59,399 Speaker 1: What they would do is they would submit misinformation reports 482 00:25:59,400 --> 00:26:03,600 Speaker 1: directly to the EP. Then the misinformation analysts would then 483 00:26:04,000 --> 00:26:07,880 Speaker 1: go across the whole Internet looking for examples additional examples 484 00:26:07,880 --> 00:26:11,200 Speaker 1: that need to be censored. Then if the submitted report flagged, 485 00:26:11,240 --> 00:26:14,200 Speaker 1: like a Facebook post for example, then the IP analysts 486 00:26:14,240 --> 00:26:18,240 Speaker 1: would search for similar content on other platforms YouTube, TikTok, 487 00:26:18,280 --> 00:26:21,600 Speaker 1: right at Twitter, things like that, and then once all 488 00:26:21,640 --> 00:26:24,240 Speaker 1: the offending links were compiled, the IP would send the 489 00:26:24,280 --> 00:26:27,560 Speaker 1: most significant ones directly to Big Tech, Directly to YouTube, Twitter, etc. 490 00:26:28,080 --> 00:26:32,119 Speaker 1: With specific recommendations on how the social media platforms should 491 00:26:32,160 --> 00:26:35,879 Speaker 1: censor the post, such as reducing the post discoverability. This 492 00:26:35,920 --> 00:26:38,600 Speaker 1: is like the shadow banding hear about suspending an accounts 493 00:26:38,640 --> 00:26:40,760 Speaker 1: ability to continue tweeting for like twelve hours. So we 494 00:26:40,760 --> 00:26:43,760 Speaker 1: saw like during the Hunter Biden laptop story during an 495 00:26:43,840 --> 00:26:47,600 Speaker 1: election politicians accounts were like blocked for periods of time, 496 00:26:48,560 --> 00:26:51,359 Speaker 1: monitoring if any of the tagged influencer accounts retweet a 497 00:26:51,400 --> 00:26:55,960 Speaker 1: particular user, and of course then removing thousands, tens of 498 00:26:55,960 --> 00:27:00,040 Speaker 1: thousands of Americans posts and even accounts. I mean, it 499 00:26:59,800 --> 00:27:02,719 Speaker 1: was just craziness, just craziness. But like I said, this 500 00:27:02,800 --> 00:27:06,639 Speaker 1: is all highlighting the bigger battle that's in front of 501 00:27:06,720 --> 00:27:09,680 Speaker 1: us now. This is all scary stuff, and it's technology 502 00:27:09,680 --> 00:27:11,800 Speaker 1: that they're using to get this power. Not just the 503 00:27:11,800 --> 00:27:13,840 Speaker 1: power of the Internet, but it's going to be the 504 00:27:13,880 --> 00:27:16,040 Speaker 1: power over our IDs, digital I d's, it's gonna be 505 00:27:16,080 --> 00:27:18,040 Speaker 1: the power over our money. If you're just tuning in 506 00:27:18,119 --> 00:27:20,280 Speaker 1: listening to the Mark Mass Show, running through a couple 507 00:27:20,400 --> 00:27:23,680 Speaker 1: stories that broke this week that really highlight the battle, 508 00:27:24,200 --> 00:27:26,240 Speaker 1: the fight of our lives. Right now, I'm gonna take 509 00:27:26,240 --> 00:27:27,520 Speaker 1: a very quick break. We'll be back with more in 510 00:27:27,520 --> 00:27:29,159 Speaker 1: a minute. Don't go away, all right, Welcome back. If 511 00:27:29,200 --> 00:27:31,040 Speaker 1: you're just tune in, you're listening to the Mark mass Show. 512 00:27:31,359 --> 00:27:33,320 Speaker 1: We're talking through a couple of stories that broke this 513 00:27:33,359 --> 00:27:35,520 Speaker 1: week that really highlight the battle for the fight of 514 00:27:35,520 --> 00:27:38,520 Speaker 1: our lives. And this is the battle over freedom. It's 515 00:27:38,520 --> 00:27:40,880 Speaker 1: battle over technology, battle of freedom of speech. And we're 516 00:27:40,920 --> 00:27:45,240 Speaker 1: talking about this bombshell report that came out showing how 517 00:27:45,359 --> 00:27:50,040 Speaker 1: the government, through multiple arms of the government, including think tanks, 518 00:27:50,880 --> 00:27:55,920 Speaker 1: including new agencies, used their power and might in order 519 00:27:55,960 --> 00:27:59,919 Speaker 1: to censor people, censor Americans. Now, a lot of this 520 00:28:00,160 --> 00:28:03,680 Speaker 1: came out through information and a lot of it came 521 00:28:03,680 --> 00:28:06,800 Speaker 1: out of this agency called the Cybersecurity and Internet Security 522 00:28:06,840 --> 00:28:12,119 Speaker 1: Agency or CISA. Cza's censorship partners as partners with the 523 00:28:12,200 --> 00:28:16,160 Speaker 1: EIP as well Atlantic Council. We've talked about a bunch 524 00:28:16,200 --> 00:28:18,959 Speaker 1: of things. The thing that I want to know is, 525 00:28:19,000 --> 00:28:23,360 Speaker 1: like we see now Jim Jordan, Rep. Jim Jordan kind 526 00:28:23,359 --> 00:28:26,280 Speaker 1: of brought this to the forefront. He's pound on the 527 00:28:26,320 --> 00:28:28,439 Speaker 1: table on this. You see a lot of people on 528 00:28:28,560 --> 00:28:31,320 Speaker 1: the Republican not a lot. A few people on the 529 00:28:31,359 --> 00:28:33,960 Speaker 1: Republican side sort of jumping in on top of this. 530 00:28:35,160 --> 00:28:37,639 Speaker 1: I haven't seen anybody on the Democratic side. Maybe RFK, 531 00:28:37,800 --> 00:28:41,080 Speaker 1: but he's like an independent now jumping on this as well. 532 00:28:42,200 --> 00:28:44,720 Speaker 1: I get a little bit tired. I don't want to 533 00:28:44,760 --> 00:28:47,240 Speaker 1: say I get tired of it. But it's like there's 534 00:28:47,280 --> 00:28:49,520 Speaker 1: a few people, there's there's a there's a handful, like 535 00:28:49,520 --> 00:28:51,960 Speaker 1: like half a dozen people like Jim Jordan that pound 536 00:28:52,040 --> 00:28:54,960 Speaker 1: on this, but it just never seems to go anywhere. 537 00:28:55,200 --> 00:28:57,480 Speaker 1: And I always want to know it's like cool, all right, thanks, 538 00:28:57,920 --> 00:28:59,560 Speaker 1: thanks for bringing that to my attention. Now, now what 539 00:28:59,600 --> 00:29:00,520 Speaker 1: are you going to do about it? 540 00:29:02,560 --> 00:29:06,560 Speaker 2: Like, at this point, I think we have to come 541 00:29:06,600 --> 00:29:10,280 Speaker 2: to accept kind of to your point earlier when you 542 00:29:10,360 --> 00:29:13,640 Speaker 2: were discussing SBF, like this is not Our problems are 543 00:29:13,640 --> 00:29:16,480 Speaker 2: not going to be solved by the state, let alone 544 00:29:16,560 --> 00:29:20,640 Speaker 2: some centralized entity that's going to take power away from 545 00:29:20,720 --> 00:29:23,480 Speaker 2: themselves and give it back to the people. This has 546 00:29:23,560 --> 00:29:27,640 Speaker 2: to come from the people continuously pounding the drums to 547 00:29:27,720 --> 00:29:29,800 Speaker 2: ask for justice and ask for the right things to 548 00:29:29,840 --> 00:29:34,080 Speaker 2: be done. Enough is enough? I kind of want to 549 00:29:34,480 --> 00:29:37,080 Speaker 2: pose a question though to you. You know, we're seeing 550 00:29:37,080 --> 00:29:40,280 Speaker 2: a lot of this stuff talking about election interference, and 551 00:29:41,280 --> 00:29:45,480 Speaker 2: we just had election last week and our next one. 552 00:29:45,480 --> 00:29:48,000 Speaker 2: Next year is going to be for another presidential election. 553 00:29:48,160 --> 00:29:50,880 Speaker 2: Like seeing all this stuff as we headed into another 554 00:29:50,920 --> 00:29:54,320 Speaker 2: presidential election cycle, like, where are your thoughts on just 555 00:29:54,840 --> 00:29:56,040 Speaker 2: how things are shaping up? 556 00:29:58,080 --> 00:30:00,960 Speaker 1: Well, Q, that's that's a very skill, very thing to 557 00:30:01,000 --> 00:30:02,400 Speaker 1: think about. And I don't even know if I can 558 00:30:02,400 --> 00:30:04,760 Speaker 1: talk about it. We're sitting here talking about censorship. I mean, 559 00:30:04,800 --> 00:30:06,200 Speaker 1: this video is gonna go on YouTube, so I gotta 560 00:30:06,200 --> 00:30:12,040 Speaker 1: be very careful what I say. Unfortunately, I don't believe 561 00:30:12,120 --> 00:30:15,640 Speaker 1: we have truly free and fair elections. And let me 562 00:30:15,720 --> 00:30:17,280 Speaker 1: just let me just back this up, so we know 563 00:30:18,160 --> 00:30:21,360 Speaker 1: we have concrete evidence in proof that for years, not 564 00:30:21,400 --> 00:30:24,680 Speaker 1: just twenty twenty, longer, there's always been election tampering going on. 565 00:30:25,440 --> 00:30:27,920 Speaker 1: Just this last week we saw in was it New 566 00:30:27,960 --> 00:30:33,120 Speaker 1: Jersey someone got convicted for election tampering. They got caught 567 00:30:33,160 --> 00:30:36,000 Speaker 1: bringing in ballots and they got convicted of it. This 568 00:30:36,120 --> 00:30:38,360 Speaker 1: just happened this last week, So we know this has 569 00:30:38,400 --> 00:30:40,880 Speaker 1: happened for a long period of time, not just twenty twenty. 570 00:30:40,880 --> 00:30:46,760 Speaker 1: It goes on longer. This is not arguable. The arguable 571 00:30:46,800 --> 00:30:50,880 Speaker 1: fact is how deep and pervasive is it? And those 572 00:30:50,920 --> 00:30:52,920 Speaker 1: things we just don't know. And part of it's because 573 00:30:52,960 --> 00:30:58,680 Speaker 1: we don't have freedom of information. What bothers me is 574 00:30:58,720 --> 00:31:03,200 Speaker 1: that if we wanted it to be free and fair 575 00:31:03,240 --> 00:31:06,760 Speaker 1: and transparent, we could very easily. It used to be, 576 00:31:07,440 --> 00:31:10,360 Speaker 1: we don't need technology. I mean, we can sit there 577 00:31:10,400 --> 00:31:11,960 Speaker 1: and just do it with hash marks, with a pencil 578 00:31:11,960 --> 00:31:13,960 Speaker 1: and a piece of paper like it can be very simple. 579 00:31:13,960 --> 00:31:15,440 Speaker 1: So the way that it's supposed to work, and the 580 00:31:15,440 --> 00:31:19,440 Speaker 1: way it's worked forever until twenty twenty, is that voting 581 00:31:19,560 --> 00:31:22,280 Speaker 1: is done locally, and it's done in person. So it's 582 00:31:22,320 --> 00:31:25,360 Speaker 1: done in precincts. So I go down to my local 583 00:31:25,720 --> 00:31:29,440 Speaker 1: school usually or church, or somebody's garage or whatever it 584 00:31:29,440 --> 00:31:32,560 Speaker 1: may be, and it's done very in a very small precinct. 585 00:31:32,880 --> 00:31:34,840 Speaker 1: And at that precinct, I go to check in, they 586 00:31:34,920 --> 00:31:37,360 Speaker 1: check my name off a list, I'm on a registered roll, 587 00:31:38,080 --> 00:31:41,440 Speaker 1: they take my vote, I make my thing, and then 588 00:31:41,640 --> 00:31:44,520 Speaker 1: that right there, that precinct tallies those votes and then 589 00:31:44,520 --> 00:31:46,680 Speaker 1: they get sent up and then that night we know 590 00:31:46,720 --> 00:31:50,720 Speaker 1: who won. That's that's always been done. And now there 591 00:31:50,800 --> 00:31:52,880 Speaker 1: was a shift where we started saying what about service 592 00:31:52,880 --> 00:31:55,560 Speaker 1: members voting overseas, and so then we started having these 593 00:31:55,560 --> 00:31:59,400 Speaker 1: absentee bat ballots. Now I became a permanent absenceee voter 594 00:31:59,480 --> 00:32:01,240 Speaker 1: because I did want to keep going to the polls. 595 00:32:01,240 --> 00:32:03,080 Speaker 1: That was kind of a paying the butt. But even 596 00:32:03,080 --> 00:32:05,360 Speaker 1: with the absentee ballot, you still have to be on 597 00:32:05,440 --> 00:32:07,080 Speaker 1: the voter roll, and so then they would send to you. 598 00:32:07,320 --> 00:32:09,760 Speaker 1: What happened in twenty twenty is they created what's called 599 00:32:10,040 --> 00:32:12,560 Speaker 1: mail in ballots, where they just set out ballots in 600 00:32:12,720 --> 00:32:16,080 Speaker 1: mass and allowed anyone to be a bundler, get these things, 601 00:32:16,200 --> 00:32:19,160 Speaker 1: drop them off. And now not only they don't have 602 00:32:19,240 --> 00:32:21,320 Speaker 1: to be in in one day, now they stretch it 603 00:32:21,360 --> 00:32:23,240 Speaker 1: out like over a month, and they just keep bringing 604 00:32:23,240 --> 00:32:25,040 Speaker 1: in pads and pods. But so they've completely distored the 605 00:32:25,040 --> 00:32:27,840 Speaker 1: whole thing. So if we wanted to restore integrity, back 606 00:32:28,760 --> 00:32:31,480 Speaker 1: election integrity, then we don't have to go back to 607 00:32:31,760 --> 00:32:33,120 Speaker 1: some we don't have to come up with some crazy 608 00:32:33,160 --> 00:32:35,480 Speaker 1: software like or use the bitcoin letter. We can just 609 00:32:35,560 --> 00:32:37,440 Speaker 1: go back to the way it was. And we can 610 00:32:37,520 --> 00:32:40,640 Speaker 1: have and we could, we should have somebody from both sides, 611 00:32:40,880 --> 00:32:43,640 Speaker 1: a Republican and Democrat. We could live stream it so 612 00:32:43,920 --> 00:32:47,400 Speaker 1: on on Facebook or on YouTube. Everyone can watch it. 613 00:32:47,920 --> 00:32:50,920 Speaker 1: And I think if people, you know, obviously the twenty 614 00:32:50,960 --> 00:32:54,640 Speaker 1: twenty election became very contested, if either side would have 615 00:32:54,680 --> 00:32:56,720 Speaker 1: just said, okay, fine, like let's just recount, let's set 616 00:32:56,800 --> 00:32:59,160 Speaker 1: up the cameras, just recount it. Like I think people 617 00:32:59,160 --> 00:33:01,200 Speaker 1: would be okay with it. Like I think people are 618 00:33:01,240 --> 00:33:03,000 Speaker 1: okay with the outcome, even if it's an outcome they 619 00:33:03,000 --> 00:33:04,880 Speaker 1: don't want as long as they can deem it to 620 00:33:04,920 --> 00:33:06,760 Speaker 1: be fair. And we you and I we talked about 621 00:33:06,760 --> 00:33:09,800 Speaker 1: this in sports quite a bit. So anyway, my guess, 622 00:33:10,160 --> 00:33:13,600 Speaker 1: Q is that this one is going to be even 623 00:33:13,640 --> 00:33:17,960 Speaker 1: more contested than the last one. I don't believe. And 624 00:33:18,480 --> 00:33:21,400 Speaker 1: let me just throw out a couple of fact. We're 625 00:33:21,440 --> 00:33:25,240 Speaker 1: already seeing, like the amount of indictments going around Donald Trump. 626 00:33:27,360 --> 00:33:29,440 Speaker 1: If I don't know how anybody can't see that this 627 00:33:29,520 --> 00:33:31,160 Speaker 1: isn't like something they're trying to take him down. I mean, 628 00:33:31,320 --> 00:33:34,280 Speaker 1: the prosecutor is on video a year ago, two years 629 00:33:34,280 --> 00:33:35,800 Speaker 1: ago saying that if she gets elected, she's going to 630 00:33:35,800 --> 00:33:37,800 Speaker 1: go out and prosecute him, like they've got him off 631 00:33:37,800 --> 00:33:40,520 Speaker 1: every single charge from every single angle. But yet he's 632 00:33:40,720 --> 00:33:44,000 Speaker 1: now The Democrats are like crazy scared because he's massively 633 00:33:44,080 --> 00:33:46,080 Speaker 1: leading Joe Biden. But of course, who's going to vote 634 00:33:46,080 --> 00:33:47,600 Speaker 1: for Joe Biden. A guy came and put a sentence together, 635 00:33:48,080 --> 00:33:50,360 Speaker 1: and so it's like this is going to be a problem. 636 00:33:50,960 --> 00:33:54,160 Speaker 1: And in order to overcome this, whether you want to 637 00:33:54,200 --> 00:33:56,640 Speaker 1: call it a conspiracy or dirty or whatever, like nobody 638 00:33:56,680 --> 00:33:58,880 Speaker 1: wants to lose, the Democratic Party, Revoking Party, both want 639 00:33:58,920 --> 00:34:01,360 Speaker 1: to win. They're going to have to pull some sort 640 00:34:01,360 --> 00:34:02,440 Speaker 1: of rabbit out of the how if they want a 641 00:34:02,480 --> 00:34:05,840 Speaker 1: whole power. That's kind of my final summary. I guess. 642 00:34:07,360 --> 00:34:09,680 Speaker 2: I want to quickly plug and shout out Nate Silver. 643 00:34:10,440 --> 00:34:13,160 Speaker 2: He had a really interesting article this last week where 644 00:34:13,200 --> 00:34:14,759 Speaker 2: he was talking about some of the polling data that 645 00:34:14,840 --> 00:34:17,719 Speaker 2: he's seeing come through, and he was talking about how 646 00:34:18,400 --> 00:34:23,480 Speaker 2: you know, if you just remove so Trump Biden national polls, 647 00:34:23,480 --> 00:34:25,400 Speaker 2: they're talking about sort of what that looks like. But 648 00:34:25,480 --> 00:34:28,120 Speaker 2: then he goes a step further. He goes, if you 649 00:34:28,280 --> 00:34:33,279 Speaker 2: just do Biden versus a Republican, the empty Republican, not 650 00:34:33,800 --> 00:34:37,719 Speaker 2: Nikki Haley, not specifying who just a Republican based on 651 00:34:38,600 --> 00:34:42,400 Speaker 2: what you believe to be Republican values polls twice as 652 00:34:42,440 --> 00:34:45,319 Speaker 2: well as is beating Biden by a margin twice as 653 00:34:45,440 --> 00:34:47,000 Speaker 2: large as Trump is. And then on the inverse of 654 00:34:47,040 --> 00:34:50,400 Speaker 2: that is also true, where if they remove Biden against 655 00:34:50,440 --> 00:34:54,319 Speaker 2: a just blanket democrat against Donald Trump. You again are 656 00:34:54,360 --> 00:34:57,120 Speaker 2: also seeing all of a sudden, this blanket democrat who 657 00:34:57,400 --> 00:35:00,279 Speaker 2: whatever the values of the Democratic Party are, it just 658 00:35:00,320 --> 00:35:02,919 Speaker 2: points to everyone is sick of this. Everyone is sick 659 00:35:02,920 --> 00:35:05,160 Speaker 2: of this. People just want to return to some semblance 660 00:35:05,200 --> 00:35:07,160 Speaker 2: of normalcy and move forward, and. 661 00:35:07,239 --> 00:35:09,680 Speaker 1: We want fairness. Like look, that's why I said, like 662 00:35:10,000 --> 00:35:11,680 Speaker 1: if they could just if they could just show that 663 00:35:11,760 --> 00:35:14,120 Speaker 1: this was fair, we could accept the outcome. My favorite 664 00:35:14,120 --> 00:35:16,840 Speaker 1: team loses, but I was fair, right, and so we 665 00:35:16,960 --> 00:35:20,279 Speaker 1: need to return to that. And I agree. I've I've 666 00:35:20,320 --> 00:35:22,520 Speaker 1: set I mean, I like Trump. I certainly would want 667 00:35:22,520 --> 00:35:24,600 Speaker 1: Trump over Biden, but I've also said that I think 668 00:35:24,640 --> 00:35:27,040 Speaker 1: he should just step down because there's so many people 669 00:35:27,160 --> 00:35:29,200 Speaker 1: that just will never vote for him because they are 670 00:35:29,280 --> 00:35:31,360 Speaker 1: never Trumper, and so he should probably step down and 671 00:35:31,360 --> 00:35:33,200 Speaker 1: in behalf of the Republican Party. To the kind of 672 00:35:33,239 --> 00:35:36,439 Speaker 1: point that you just made, I thought we talked about 673 00:35:36,440 --> 00:35:39,319 Speaker 1: this earlier, but I didn't watch Guilty. I didn't watch 674 00:35:39,360 --> 00:35:41,799 Speaker 1: the debate Republican debate last night, but I did see 675 00:35:41,800 --> 00:35:43,920 Speaker 1: a clip of Vivid Ramaswami, who I've had on the 676 00:35:43,960 --> 00:35:46,520 Speaker 1: show before. Just search Mark Mashaw Vivic and you'll see that. 677 00:35:47,280 --> 00:35:49,880 Speaker 1: But I liked how he opened it up and he 678 00:35:50,000 --> 00:35:53,240 Speaker 1: just said, look, guys, you're completely losing. He was asking 679 00:35:53,360 --> 00:35:56,279 Speaker 1: for the RNC chair to step down, and he was 680 00:35:56,360 --> 00:36:00,879 Speaker 1: just saying, like we we're we are the anti democratic 681 00:36:00,920 --> 00:36:02,759 Speaker 1: party right where the other party like we should be 682 00:36:02,840 --> 00:36:05,359 Speaker 1: welcoming Elon Musk and Joe Rogan to be in here 683 00:36:05,440 --> 00:36:08,319 Speaker 1: moderating these things. And I think it would be much 684 00:36:08,400 --> 00:36:11,640 Speaker 1: more inclusive that way, as opposed to trying to stick 685 00:36:11,680 --> 00:36:14,640 Speaker 1: to these old ideals this conservative party who hasn't conserved 686 00:36:14,920 --> 00:36:17,960 Speaker 1: one thing. What's the point of that even name. But anyway, 687 00:36:19,440 --> 00:36:21,400 Speaker 1: we gotta wrap this up. Q, thanks for jumping in 688 00:36:21,520 --> 00:36:23,560 Speaker 1: on this. I just want to want to finish this 689 00:36:23,640 --> 00:36:25,879 Speaker 1: off by saying, look, this is the fight for our life. 690 00:36:25,920 --> 00:36:27,640 Speaker 1: And it's not the red or blue, it's not the 691 00:36:27,680 --> 00:36:31,640 Speaker 1: Democratic Republican. It's we the people having access to technology 692 00:36:31,680 --> 00:36:34,440 Speaker 1: that gives us freedom to make our lives better, versus 693 00:36:34,600 --> 00:36:37,480 Speaker 1: the state who wants to control the narrative and continue 694 00:36:37,520 --> 00:36:39,160 Speaker 1: to gas light us to continue to control us. That 695 00:36:39,360 --> 00:36:40,960 Speaker 1: is the battle for the fate of humanity. Don't get 696 00:36:41,000 --> 00:36:42,880 Speaker 1: caught up in the left or the right. It's always 697 00:36:43,000 --> 00:36:46,520 Speaker 1: voting for more freedom that's what we want anyway, listening 698 00:36:46,520 --> 00:36:48,040 Speaker 1: to the Mark Moss Show. Thanks so much for listening 699 00:36:48,120 --> 00:36:50,160 Speaker 1: this time. Hit me up on social media at one 700 00:36:50,200 --> 00:36:52,920 Speaker 1: Mark Moss, leave me a comment, leave a review on 701 00:36:53,040 --> 00:36:55,160 Speaker 1: a podcast, and that's it until next time.