1 00:00:00,160 --> 00:00:03,400 Speaker 1: It's official. AI is officially going to take over anything 2 00:00:03,480 --> 00:00:07,040 Speaker 1: and everything we know, But there might actually be a 3 00:00:07,120 --> 00:00:10,520 Speaker 1: silver lining to that. New Yorkers are weighing in right 4 00:00:10,560 --> 00:00:16,200 Speaker 1: direction wrong direction under the Dani's administration. The numbers are 5 00:00:16,239 --> 00:00:20,080 Speaker 1: actually pretty shocking. And what could a conservative governor of 6 00:00:20,079 --> 00:00:24,680 Speaker 1: California actually look like in practice? We will discuss, and, 7 00:00:25,320 --> 00:00:28,120 Speaker 1: of course, in light of recent events, if anything I 8 00:00:28,160 --> 00:00:30,639 Speaker 1: say lands me in hot water, clearly I am not 9 00:00:30,840 --> 00:00:33,760 Speaker 1: competent to be held to stand any sort of trial. 10 00:00:34,360 --> 00:00:36,400 Speaker 1: All that more coming up. Thanks so much for tuning in. 11 00:00:36,440 --> 00:00:43,879 Speaker 1: My name is Jobob. The show starts right now. This 12 00:00:44,000 --> 00:00:47,160 Speaker 1: might be kind of an out of left field prediction, 13 00:00:47,520 --> 00:00:50,839 Speaker 1: but the idea that AI could be so pervasive it 14 00:00:50,840 --> 00:00:54,520 Speaker 1: could actually benefit humanity is one that I think is 15 00:00:54,520 --> 00:00:58,040 Speaker 1: actually possibly possible. Again, I don't want to put my 16 00:00:58,120 --> 00:01:02,400 Speaker 1: numbers too high, but there it would be a humanity 17 00:01:02,640 --> 00:01:06,479 Speaker 1: silver lining when AI inevitably takes over any and all 18 00:01:06,560 --> 00:01:09,840 Speaker 1: software and machinery, which it looks like it's going to 19 00:01:09,959 --> 00:01:15,199 Speaker 1: do according to the latest non release from AI leader Anthropic. 20 00:01:15,240 --> 00:01:17,600 Speaker 1: We'll discuss all that and a bunch of other stuff, 21 00:01:17,680 --> 00:01:19,560 Speaker 1: but first I got to remind you tpt at tbusa 22 00:01:19,640 --> 00:01:21,240 Speaker 1: dot com is the email address if you'd like to 23 00:01:21,240 --> 00:01:25,280 Speaker 1: send a on your thoughts, comments, concerns, even criticisms, all 24 00:01:25,400 --> 00:01:30,720 Speaker 1: are welcome TPT at TPUSA dot com. Let's see. Oh, 25 00:01:30,840 --> 00:01:33,200 Speaker 1: if your emails are discussing vile just down right nasty, 26 00:01:33,240 --> 00:01:35,319 Speaker 1: the chances of us reading them on the show actually 27 00:01:35,360 --> 00:01:38,119 Speaker 1: increase substantially because that fits in exactly with what we're 28 00:01:38,120 --> 00:01:42,639 Speaker 1: doing here, TPT at TPUSA dot com. Like I mentioned 29 00:01:42,680 --> 00:01:46,080 Speaker 1: at the top, the AI overlords will probably kill us 30 00:01:46,080 --> 00:01:48,400 Speaker 1: all and drain us of our vital fluids, as that 31 00:01:48,560 --> 00:01:51,480 Speaker 1: is their stated goal, or at least might be their 32 00:01:51,520 --> 00:01:55,800 Speaker 1: stated goal when they assume the all powerful capability that 33 00:01:56,480 --> 00:02:00,120 Speaker 1: several companies are rushing to get them towards. Now, is 34 00:02:00,160 --> 00:02:04,800 Speaker 1: that a good thing? Clearly no? But could there possibly 35 00:02:04,880 --> 00:02:08,840 Speaker 1: be some good benefits that come out of that? Maybe 36 00:02:09,360 --> 00:02:12,080 Speaker 1: find out what I think about that after we explain 37 00:02:12,400 --> 00:02:16,160 Speaker 1: the most recent story coming out of Anthropic Now. The 38 00:02:16,200 --> 00:02:20,200 Speaker 1: way these AI companies develop, it's not just you know chatbots, right, 39 00:02:20,200 --> 00:02:23,000 Speaker 1: We are all kind of used to grock on X 40 00:02:23,080 --> 00:02:26,280 Speaker 1: or chat GPT or Google's Gemini. You ask it a question, 41 00:02:26,760 --> 00:02:30,560 Speaker 1: it does its thing, and it spits out a very 42 00:02:30,720 --> 00:02:34,960 Speaker 1: very eloquent and educated response. Generally speaking, we can argue 43 00:02:35,000 --> 00:02:39,000 Speaker 1: over left or right centered responses. What are those responses? 44 00:02:39,040 --> 00:02:43,160 Speaker 1: Are they accurate? Okay? The bottom line is AI is way, way, 45 00:02:43,400 --> 00:02:47,560 Speaker 1: way more than the chatbots that we all interface with. 46 00:02:48,280 --> 00:02:50,880 Speaker 1: The way these companies generally work is they have different models, 47 00:02:51,200 --> 00:02:55,880 Speaker 1: different softwares. Effectively, and again I'm not a tech nerd, 48 00:02:55,960 --> 00:03:00,799 Speaker 1: so if you are and I'm mis pronouncing or labeling 49 00:03:00,840 --> 00:03:03,600 Speaker 1: what these things are, know that I'm getting the gist 50 00:03:03,639 --> 00:03:08,320 Speaker 1: of it correctly. They effectively have different models that they use, 51 00:03:08,360 --> 00:03:11,360 Speaker 1: and when there's a step up in performance, you know, 52 00:03:11,400 --> 00:03:14,160 Speaker 1: the model steps up, as you know generally things do. 53 00:03:14,200 --> 00:03:17,200 Speaker 1: When you go on a higher trim of the car, 54 00:03:17,280 --> 00:03:19,680 Speaker 1: it's you know, kind of the same car, but now 55 00:03:19,680 --> 00:03:22,520 Speaker 1: it's got a leather interior and heated front seats and 56 00:03:22,600 --> 00:03:25,600 Speaker 1: a push to start instead of having to turn a key. 57 00:03:25,880 --> 00:03:29,760 Speaker 1: You get the premise. Well, the most recent iteration of 58 00:03:30,040 --> 00:03:37,040 Speaker 1: Anthropics Claude is apparently too good. They're releasing a or 59 00:03:37,160 --> 00:03:41,720 Speaker 1: we're going to release an update or a new module 60 00:03:41,800 --> 00:03:49,560 Speaker 1: called Mythos, which is unfortunately so good that it's creating problems. Now. 61 00:03:49,800 --> 00:03:53,080 Speaker 1: To get ahead of these problems, Anthropic put out this 62 00:03:53,240 --> 00:03:56,080 Speaker 1: video with their CEO, but a bunch of other people 63 00:03:56,400 --> 00:04:01,600 Speaker 1: who are involved in Mythos, trying to quell the concern 64 00:04:01,800 --> 00:04:05,760 Speaker 1: that we all probably have because, of course, my biggest 65 00:04:05,800 --> 00:04:09,720 Speaker 1: fear is the AI overlord's taking me and draining me 66 00:04:09,760 --> 00:04:12,280 Speaker 1: of my vital fluids for whatever it is that the purpose, 67 00:04:12,560 --> 00:04:16,680 Speaker 1: whatever purpose they feel they deem as necessary. But here's 68 00:04:16,680 --> 00:04:19,760 Speaker 1: a cut of the video that they put out talking 69 00:04:19,800 --> 00:04:24,440 Speaker 1: about their newest iteration of AI mania called Mythos. This 70 00:04:24,480 --> 00:04:25,240 Speaker 1: is cut fifteen. 71 00:04:26,080 --> 00:04:29,120 Speaker 2: We haven't trained it specifically to be good at cyber. 72 00:04:29,279 --> 00:04:31,440 Speaker 2: We trained it to be good at code, But as 73 00:04:31,480 --> 00:04:34,039 Speaker 2: a side effect of being good at code, it's also 74 00:04:34,080 --> 00:04:34,760 Speaker 2: good at cyber. 75 00:04:34,880 --> 00:04:38,720 Speaker 3: The model that we're experimenting with is by and large 76 00:04:39,000 --> 00:04:44,240 Speaker 3: as good as a professional human ID identifying bugs. It's 77 00:04:44,279 --> 00:04:46,200 Speaker 3: good for us because we can find more of an 78 00:04:46,240 --> 00:04:48,239 Speaker 3: Albery sooner and we can fix them. 79 00:04:48,640 --> 00:04:53,359 Speaker 1: So the main point is it's really, really, really good, 80 00:04:53,400 --> 00:04:57,560 Speaker 1: which means it's scary good, which is interesting that they 81 00:04:57,680 --> 00:05:01,440 Speaker 1: chose the happy, fun corporate music to go underneath it. Hey, 82 00:05:01,480 --> 00:05:04,400 Speaker 1: we're announcing this very very scary thing that could end 83 00:05:04,480 --> 00:05:09,480 Speaker 1: up dominating any and all technology. Let's put a lighthearted 84 00:05:10,080 --> 00:05:13,839 Speaker 1: jive music underneath it to maybe, I don't know, blunt 85 00:05:14,000 --> 00:05:18,279 Speaker 1: the dramatic trauma that this may cause. Now, the goal 86 00:05:18,440 --> 00:05:22,320 Speaker 1: for this Mythos, or at least one of the goals, 87 00:05:22,640 --> 00:05:24,800 Speaker 1: is to find any sort of bugs, find any sort 88 00:05:24,800 --> 00:05:28,880 Speaker 1: of holes in software or operating systems or technology, and 89 00:05:29,080 --> 00:05:32,400 Speaker 1: fix those bugs and fix those holes without humans having 90 00:05:32,440 --> 00:05:35,080 Speaker 1: to go through and solve the problems. The problem is, 91 00:05:35,400 --> 00:05:41,719 Speaker 1: the company says the module could unfortunately enable catastrophic cyber 92 00:05:41,760 --> 00:05:47,680 Speaker 1: attacks even terror related harm if it is misused. Well, 93 00:05:48,480 --> 00:05:52,279 Speaker 1: that matters because Anthropics says that if this falls into 94 00:05:52,320 --> 00:05:57,640 Speaker 1: the wrong hands, those bad actors could target critical infrastructure 95 00:05:57,720 --> 00:06:03,000 Speaker 1: electrical grids, power plants, water treatment facilities, hospitals, and that 96 00:06:03,400 --> 00:06:05,839 Speaker 1: clearly would be bad. Now, before we get it to 97 00:06:06,279 --> 00:06:11,560 Speaker 1: how they've responded to the negatives of this new Mythos module, 98 00:06:12,480 --> 00:06:15,320 Speaker 1: how it does it is actually pretty interesting. What they 99 00:06:15,360 --> 00:06:17,480 Speaker 1: stated in the video, which we don't have time to play, 100 00:06:17,920 --> 00:06:21,679 Speaker 1: is that it basically just does a string of different things. 101 00:06:21,880 --> 00:06:26,000 Speaker 1: In other words, if something has a cybersecurity where they've 102 00:06:26,000 --> 00:06:28,600 Speaker 1: got a fence, and then pass the fence, they've got 103 00:06:28,680 --> 00:06:31,520 Speaker 1: a moat, and then pass the moat, they've got a drawbridge, 104 00:06:31,520 --> 00:06:34,400 Speaker 1: and then the drawbridge, and then the walls of the castle, 105 00:06:34,480 --> 00:06:38,440 Speaker 1: and then the What it does is it strings together 106 00:06:38,760 --> 00:06:41,560 Speaker 1: all of the different defects in the bugs to put 107 00:06:41,560 --> 00:06:45,920 Speaker 1: together one big cohesive map of how to break the system, 108 00:06:46,480 --> 00:06:50,960 Speaker 1: which again is good if you're trying to find those holes, 109 00:06:51,000 --> 00:06:55,760 Speaker 1: but bad if you are vulnerable to those holes being exploited. So, 110 00:06:56,320 --> 00:07:00,600 Speaker 1: because it's so powerful, what has Anthropic decided to do 111 00:07:00,760 --> 00:07:06,080 Speaker 1: with their new myth Thos system thing cut sixteen. 112 00:07:06,880 --> 00:07:09,279 Speaker 4: We notice that this model is very autonomous. It's just 113 00:07:09,440 --> 00:07:14,200 Speaker 4: generally better at pursuing really long range tasks that are 114 00:07:14,280 --> 00:07:17,040 Speaker 4: kind of like the task that a human security researcher 115 00:07:17,120 --> 00:07:20,720 Speaker 4: would do throughout the course of an entire day. Obviously, 116 00:07:21,040 --> 00:07:23,520 Speaker 4: capabilities in a model like this could do harm if 117 00:07:23,680 --> 00:07:26,440 Speaker 4: in the wrong hands, and so we won't be releasing 118 00:07:26,440 --> 00:07:27,440 Speaker 4: this model widely. 119 00:07:27,760 --> 00:07:29,040 Speaker 1: More powerful models. 120 00:07:28,800 --> 00:07:31,560 Speaker 2: Are going to come from us and from others, and 121 00:07:31,600 --> 00:07:34,400 Speaker 2: so we do need a plan to respond to this. 122 00:07:34,640 --> 00:07:37,960 Speaker 4: That's why we're launching what we're calling Project Classway, where 123 00:07:38,000 --> 00:07:41,000 Speaker 4: we partner with a number of the organizations that power 124 00:07:41,080 --> 00:07:43,280 Speaker 4: some of the world's most critical code to put the 125 00:07:43,320 --> 00:07:46,480 Speaker 4: model into their hands, to allow them to look at 126 00:07:46,520 --> 00:07:48,920 Speaker 4: how they can use models like this to bring down 127 00:07:49,040 --> 00:07:50,640 Speaker 4: risk and protect everyone. 128 00:07:51,000 --> 00:07:53,240 Speaker 1: The bottom line is they're not going to release it 129 00:07:53,360 --> 00:07:58,640 Speaker 1: to the public because they fear that it's too powerful. Well, 130 00:07:58,680 --> 00:08:03,000 Speaker 1: here's several problems that the lay person could point out. Well, 131 00:08:03,040 --> 00:08:05,400 Speaker 1: some people are going to have it, they're not going 132 00:08:05,440 --> 00:08:08,560 Speaker 1: to release it publicly to everybody. But Anthropics says the 133 00:08:08,600 --> 00:08:12,240 Speaker 1: glass wing will involve about forty different companies who get 134 00:08:12,320 --> 00:08:17,040 Speaker 1: early access. Companies like Amazon, Google, Apple, and video CrowdStrike, 135 00:08:17,160 --> 00:08:22,520 Speaker 1: JP Morgan Chase some examples of the participants. But one 136 00:08:22,520 --> 00:08:25,280 Speaker 1: of the problems that I have is the very end 137 00:08:25,400 --> 00:08:29,360 Speaker 1: of that video where the guy talking says, well, it's 138 00:08:29,440 --> 00:08:34,400 Speaker 1: gonna protect everyone. Where have I heard that one before? 139 00:08:35,000 --> 00:08:37,679 Speaker 1: Two weeks to slow the curb, wear a mask, social 140 00:08:37,720 --> 00:08:44,199 Speaker 1: distancing all of the things that were designed to protect everyone. 141 00:08:44,280 --> 00:08:47,120 Speaker 1: The problem is the same thing we saw during COVID. 142 00:08:47,160 --> 00:08:53,280 Speaker 1: Although these are entirely separate instances. Some people exploit the 143 00:08:53,360 --> 00:08:59,640 Speaker 1: idea of protecting everyone, even if some people are genuinely 144 00:08:59,720 --> 00:09:03,160 Speaker 1: doing it, Even if most people are genuinely doing it, 145 00:09:03,440 --> 00:09:07,320 Speaker 1: to quote unquote protect everyone, how many people does it 146 00:09:07,360 --> 00:09:11,040 Speaker 1: take for it to leak? Again, not really knowing anything 147 00:09:11,040 --> 00:09:16,280 Speaker 1: about this, if it's a computer program, probably one. And 148 00:09:16,640 --> 00:09:20,920 Speaker 1: if there's massive value on the black market, I think 149 00:09:20,920 --> 00:09:24,679 Speaker 1: the incentive for that one person, if you know that 150 00:09:24,800 --> 00:09:28,480 Speaker 1: can be done by that one person to leak it, 151 00:09:28,520 --> 00:09:32,640 Speaker 1: is extremely high. The money would be outrageous for anybody 152 00:09:32,679 --> 00:09:35,200 Speaker 1: who does want to leak it to a bad actor, 153 00:09:35,360 --> 00:09:39,720 Speaker 1: I e. I don't know China or the Russians, or 154 00:09:39,920 --> 00:09:43,319 Speaker 1: literally any other adversary of the United States of America. 155 00:09:43,960 --> 00:09:48,959 Speaker 1: Anthropic claims that it's mythos has already identified thousands of 156 00:09:49,360 --> 00:09:54,679 Speaker 1: high severity vulnerabilities, including some in every operating system and 157 00:09:54,920 --> 00:10:00,199 Speaker 1: web browser, which is bad again. Good thing that it's 158 00:10:00,200 --> 00:10:04,920 Speaker 1: being identified, but bad thing if you're like me, skeptical 159 00:10:04,960 --> 00:10:08,280 Speaker 1: of the ability for it to be rained in by 160 00:10:08,280 --> 00:10:17,120 Speaker 1: individuals who may have motivations passed the top of line moral, virtuous, 161 00:10:17,800 --> 00:10:21,080 Speaker 1: righteous thing to do. Well, Just how powerful is it? 162 00:10:21,559 --> 00:10:25,200 Speaker 1: The video continued on to example give examples of how 163 00:10:25,280 --> 00:10:27,640 Speaker 1: powerful this thing can be cut seventeen. 164 00:10:28,320 --> 00:10:31,360 Speaker 5: I found more bugs in the last couple of weeks 165 00:10:31,360 --> 00:10:33,080 Speaker 5: than I found in the rest of my life combined. 166 00:10:33,320 --> 00:10:36,000 Speaker 5: We've used the model to scan a bunch of open 167 00:10:36,040 --> 00:10:38,839 Speaker 5: source code, and the thing that we went for first 168 00:10:38,880 --> 00:10:42,240 Speaker 5: was operating systems, because this is the code that underlies 169 00:10:42,480 --> 00:10:47,160 Speaker 5: the entire Internet infrastructure. For OpenBSD, we found a bug 170 00:10:47,240 --> 00:10:51,360 Speaker 5: that's been present for twenty seven years where I can 171 00:10:51,480 --> 00:10:56,160 Speaker 5: send a couple of pieces of data to any OpenBSD. 172 00:10:55,600 --> 00:10:56,640 Speaker 6: Server and crash it. 173 00:10:57,000 --> 00:11:01,400 Speaker 5: On Linux, we found a number of vulnerabilities where as 174 00:11:01,440 --> 00:11:04,440 Speaker 5: a user with no commissions, I can elevate myself to 175 00:11:04,440 --> 00:11:08,120 Speaker 5: the administrator by just running some binary on my machine. 176 00:11:08,760 --> 00:11:14,880 Speaker 1: Oh great, this guy who's I guess his whole goal 177 00:11:14,960 --> 00:11:17,480 Speaker 1: is to find bugs. I've found more bugs in the 178 00:11:17,559 --> 00:11:21,360 Speaker 1: last couple weeks than I've done my entire career. Oh well, 179 00:11:21,800 --> 00:11:24,440 Speaker 1: the good thing is there's jaunty jive music underneath it, 180 00:11:24,480 --> 00:11:26,120 Speaker 1: so it doesn't sound as bad. 181 00:11:26,280 --> 00:11:26,480 Speaker 7: Oh. 182 00:11:26,520 --> 00:11:28,240 Speaker 1: The good thing is I found this bug that's been 183 00:11:28,240 --> 00:11:30,679 Speaker 1: in there for twenty seven years. Oh. The good thing 184 00:11:30,760 --> 00:11:33,840 Speaker 1: is I was able to, as a regular user, elevate 185 00:11:33,920 --> 00:11:38,400 Speaker 1: myself to an administrator on this operating system. Oh, this 186 00:11:38,520 --> 00:11:41,720 Speaker 1: is just fantastic, except for the fact that it's not. Look, 187 00:11:42,160 --> 00:11:47,480 Speaker 1: we can make three pretty easy assumptions in this particular case. 188 00:11:47,520 --> 00:11:51,120 Speaker 1: Assumption one is that this is only going to get better. Right, 189 00:11:51,160 --> 00:11:53,559 Speaker 1: this is not going to like deteriorate in any way, 190 00:11:53,600 --> 00:11:57,800 Speaker 1: shape or form. The ability for people to do whatever 191 00:11:57,880 --> 00:12:03,480 Speaker 1: they want either those vulnerabilities or in the cynical perspective, 192 00:12:03,640 --> 00:12:07,520 Speaker 1: exploit those vulnerabilities. It's not gonna get less, it's going 193 00:12:07,600 --> 00:12:11,199 Speaker 1: to get more. The second assumption we can make, you're 194 00:12:11,240 --> 00:12:13,120 Speaker 1: not gonna be able to contain it. Yes, you want 195 00:12:13,160 --> 00:12:16,600 Speaker 1: to limit the ability to access it to these forty 196 00:12:16,600 --> 00:12:20,880 Speaker 1: companies from the start, yeah, sure, fine. Guaranteed at some 197 00:12:21,120 --> 00:12:23,800 Speaker 1: point in time this will leak to the general public. 198 00:12:24,280 --> 00:12:28,360 Speaker 1: And unfortunately, the assumption can be made, which is the 199 00:12:28,360 --> 00:12:31,520 Speaker 1: third assumption, is that it will leak to somebody who 200 00:12:31,720 --> 00:12:35,040 Speaker 1: is capable, the most capable versions of this will leak 201 00:12:35,080 --> 00:12:38,160 Speaker 1: to somebody who's willing to do it, use it for evil. 202 00:12:39,080 --> 00:12:42,080 Speaker 1: Those three things I think can be assumed. It's gonna 203 00:12:42,080 --> 00:12:45,360 Speaker 1: get better, it's gonna leak, and somebody's going to want 204 00:12:45,400 --> 00:12:49,240 Speaker 1: to use it for bad. Now, I mentioned at the 205 00:12:49,360 --> 00:12:52,160 Speaker 1: beginning part of this might be kind of a silver lining, 206 00:12:52,160 --> 00:12:55,000 Speaker 1: and you at home might be thinking, where is the 207 00:12:55,120 --> 00:12:56,440 Speaker 1: silver lining here? Dude? 208 00:12:56,480 --> 00:13:01,600 Speaker 8: This is all very very, very bad, which may actually 209 00:13:01,720 --> 00:13:07,359 Speaker 8: be the silver lining itself, because AI is being praised 210 00:13:07,559 --> 00:13:10,600 Speaker 8: and feared for its ability and its capability. 211 00:13:11,520 --> 00:13:15,440 Speaker 1: But what if because of stuff like this and because 212 00:13:15,520 --> 00:13:19,920 Speaker 1: there are bad actors in the world, we no longer 213 00:13:19,960 --> 00:13:23,840 Speaker 1: trust it. What if that is the ultimate conclusion of 214 00:13:24,000 --> 00:13:26,880 Speaker 1: all of this, is that AI is able to do 215 00:13:26,960 --> 00:13:33,800 Speaker 1: anything and everything except gain the trust of humans, which 216 00:13:33,840 --> 00:13:36,840 Speaker 1: is the whole purpose for it to begin with. In 217 00:13:36,920 --> 00:13:41,160 Speaker 1: a world of pure efficiency, humans are being replaced by 218 00:13:41,200 --> 00:13:45,520 Speaker 1: more and more capable robots. Right now, we have like 219 00:13:45,600 --> 00:13:50,040 Speaker 1: a general trust of the machines that are used in 220 00:13:50,120 --> 00:13:52,440 Speaker 1: our everyday life. If you go to the grocery store 221 00:13:53,240 --> 00:13:56,440 Speaker 1: and you buy a loaf of bread, chances are that 222 00:13:56,480 --> 00:13:59,960 Speaker 1: bread is mass produced, and it's mass produced using machine, 223 00:14:00,120 --> 00:14:04,200 Speaker 1: and those machines are automated by systems that this AI 224 00:14:04,559 --> 00:14:07,760 Speaker 1: can effectively overwrite. Now, right, like I said, we have 225 00:14:08,480 --> 00:14:13,040 Speaker 1: trust of those systems at the moment. But if these 226 00:14:13,080 --> 00:14:15,960 Speaker 1: things become overwhelming and they're put in the hands of 227 00:14:16,000 --> 00:14:19,360 Speaker 1: bad actors, how much more are we going to trust 228 00:14:19,440 --> 00:14:25,000 Speaker 1: those machines personally? Kind of none? And then what if 229 00:14:25,160 --> 00:14:29,880 Speaker 1: the erosion of trust in automation leads to the reversion 230 00:14:30,000 --> 00:14:35,520 Speaker 1: of necessity for craftsmanship? What I mean by that is, 231 00:14:35,840 --> 00:14:40,720 Speaker 1: if I don't trust the machine that throws ninety take 232 00:14:40,760 --> 00:14:43,280 Speaker 1: the MAHA stuff out of the equation for the moment 233 00:14:43,560 --> 00:14:47,560 Speaker 1: throws ninety different ingredients, several of which I can't pronounce, 234 00:14:47,680 --> 00:14:50,520 Speaker 1: But it really only takes an increase of one of 235 00:14:50,560 --> 00:14:54,080 Speaker 1: those small, impronounceable ingredients to ruin the whole batch. Make 236 00:14:54,160 --> 00:14:57,080 Speaker 1: everybody in the town sick. If I can't trust that 237 00:14:57,200 --> 00:15:01,560 Speaker 1: machine because of AI like this, which is supposed to 238 00:15:01,600 --> 00:15:03,840 Speaker 1: make things better, but in the bat in the hands 239 00:15:03,840 --> 00:15:06,400 Speaker 1: of a bad actor, can make things very, very worse. 240 00:15:07,600 --> 00:15:10,680 Speaker 1: Am I gonna buy that loaf of bread? Probably not? 241 00:15:11,240 --> 00:15:14,200 Speaker 1: What am I gonna do? Well, I gotta eat, So 242 00:15:15,280 --> 00:15:18,120 Speaker 1: it might very well be that the mistrust in the 243 00:15:18,160 --> 00:15:22,840 Speaker 1: automation leads me to an artisan a bakery where it's 244 00:15:23,040 --> 00:15:27,040 Speaker 1: human to human. Hey, I know the person that baked 245 00:15:27,040 --> 00:15:30,280 Speaker 1: this bread. I know that they sourced their ingredients from 246 00:15:30,320 --> 00:15:36,440 Speaker 1: people who aren't out to kill me, and therefore I 247 00:15:36,480 --> 00:15:40,480 Speaker 1: have a human to human connection. What if the AI 248 00:15:41,080 --> 00:15:45,040 Speaker 1: gets so good at one closing holes but two exploiting 249 00:15:45,080 --> 00:15:48,000 Speaker 1: holes that we just can't trust any of the machines, 250 00:15:48,240 --> 00:15:50,920 Speaker 1: And like I said, will that make life a little 251 00:15:50,960 --> 00:15:55,320 Speaker 1: bit more difficult? Maybe? But also if we're gonna find 252 00:15:55,320 --> 00:15:57,560 Speaker 1: a silver lining, if we're gonna be a little bit optimistic, 253 00:15:57,920 --> 00:16:02,240 Speaker 1: might encourage more or human to human reaction, maybe not 254 00:16:02,280 --> 00:16:08,120 Speaker 1: even encourage it, but necessitate it. Maybe at some point 255 00:16:08,720 --> 00:16:11,720 Speaker 1: you can't trust the water treatment facility to be run 256 00:16:11,800 --> 00:16:14,440 Speaker 1: by a computer for all of the reasons that I'm 257 00:16:14,480 --> 00:16:18,520 Speaker 1: sure you can draw yourself. Maybe you have to have 258 00:16:18,680 --> 00:16:22,760 Speaker 1: physical humans there that you trust, and you effectively buy 259 00:16:22,800 --> 00:16:27,160 Speaker 1: that trust with dollars. That's why that's what jobs are. 260 00:16:28,240 --> 00:16:30,720 Speaker 1: And now instead of having a machine have to open 261 00:16:31,160 --> 00:16:33,080 Speaker 1: all six of the valves, you got two guys that 262 00:16:33,160 --> 00:16:36,120 Speaker 1: are cranking it manually, like we've done for the last 263 00:16:36,160 --> 00:16:39,600 Speaker 1: one hundred years save the last twenty, where machines have 264 00:16:39,640 --> 00:16:43,600 Speaker 1: been more and more prevalent. What I'm saying is this, 265 00:16:44,120 --> 00:16:47,320 Speaker 1: it's very, very possible in my mind of I'm thinking 266 00:16:47,360 --> 00:16:50,720 Speaker 1: of the long term trajectory here, that this stuff gets 267 00:16:51,040 --> 00:16:56,560 Speaker 1: so incredibly powerful that, yeah, it eliminates the needs for 268 00:16:56,840 --> 00:17:03,160 Speaker 1: humans if it were solely aligned with the betterment of humans. 269 00:17:03,680 --> 00:17:05,919 Speaker 1: But if that's not the case, and this sort of 270 00:17:05,920 --> 00:17:09,680 Speaker 1: stuff falls into the wrong hands, how can we trust 271 00:17:09,880 --> 00:17:12,920 Speaker 1: any of the machines. And if we can't trust any 272 00:17:12,960 --> 00:17:16,520 Speaker 1: of the machines because they're run by software and potentially 273 00:17:17,200 --> 00:17:22,840 Speaker 1: vulnerable to AI attacks by bad actors, then maybe the 274 00:17:22,880 --> 00:17:26,240 Speaker 1: only answer is to revert back to human to human connection. 275 00:17:27,240 --> 00:17:32,680 Speaker 1: Maybe the only way to get past the AI absorption 276 00:17:32,800 --> 00:17:39,320 Speaker 1: of really every single capability is do everything ourselves. And honestly, 277 00:17:39,880 --> 00:17:44,800 Speaker 1: does that sound that bad? Not? Really, it doesn't sound 278 00:17:44,880 --> 00:17:47,760 Speaker 1: super bad. And again I use the bakery example as one, 279 00:17:48,200 --> 00:17:52,399 Speaker 1: but of many, many different things. Go into a local 280 00:17:52,440 --> 00:17:54,520 Speaker 1: bakery to buy a fresh loaf of bread from people 281 00:17:54,560 --> 00:17:57,679 Speaker 1: that I trust in my community as opposed to a 282 00:17:57,920 --> 00:18:02,199 Speaker 1: mass factory that outputs to every where doesn't sound all 283 00:18:02,200 --> 00:18:06,119 Speaker 1: that bad. Yeah, I guess will like the big money 284 00:18:06,119 --> 00:18:10,160 Speaker 1: manufacturing kind of go by the wayside in this scenario. Yes, 285 00:18:10,320 --> 00:18:13,960 Speaker 1: But if more mom and pop stores open up because 286 00:18:14,119 --> 00:18:19,040 Speaker 1: trust is required in the age of untrustable AI technology 287 00:18:19,119 --> 00:18:22,800 Speaker 1: and machines, is that a bad thing? I actually don't 288 00:18:22,800 --> 00:18:25,600 Speaker 1: think so. I actually think it might be exactly what 289 00:18:25,640 --> 00:18:31,160 Speaker 1: we need. But again, it's either that or the AI 290 00:18:31,280 --> 00:18:34,360 Speaker 1: kills us all in trainss of our idal fluids. One 291 00:18:34,400 --> 00:18:37,399 Speaker 1: of those two options seems most probable, at least to me. 292 00:18:37,640 --> 00:18:39,679 Speaker 1: What do you think? Tt at TPUSA dot com is 293 00:18:39,680 --> 00:18:43,520 Speaker 1: the email addressed you'd like to send along your thoughts, comments, concerns, criticisms. 294 00:18:43,840 --> 00:18:47,399 Speaker 1: Does this freak you out beyond belief or does it, 295 00:18:47,480 --> 00:18:50,760 Speaker 1: I don't know. Give you a hope that smaller, more 296 00:18:50,840 --> 00:18:57,679 Speaker 1: close knit communities around economic availability will develop, which shit 297 00:18:57,840 --> 00:19:00,080 Speaker 1: may be a good thing. Let us know. Tt A 298 00:19:00,160 --> 00:19:02,880 Speaker 1: TPUSA dot com. I love to hear any of your thoughts. 299 00:19:03,000 --> 00:19:04,440 Speaker 1: Got a lot of stuff to come up to it 300 00:19:04,560 --> 00:19:08,719 Speaker 1: a little bit more, well, some depressing. Actually it's all 301 00:19:08,760 --> 00:19:11,920 Speaker 1: still depressing. I'm just gonna fair warning here. The next 302 00:19:11,960 --> 00:19:14,600 Speaker 1: segment getting to the point is a little bit depressing, 303 00:19:14,920 --> 00:19:17,760 Speaker 1: but not all of it. So have hope. TBTTBUSA dot 304 00:19:17,760 --> 00:19:19,320 Speaker 1: com as the email dress will be right back after 305 00:19:19,320 --> 00:19:20,680 Speaker 1: the breakdogaway. 306 00:19:35,119 --> 00:19:38,000 Speaker 7: The church with a homosexual flag. They think the greatest 307 00:19:38,040 --> 00:19:41,320 Speaker 7: sin is judging. They'll say, well, Jesus says do not judge. 308 00:19:41,400 --> 00:19:44,440 Speaker 7: The Bible does not say that. Jesus says, do not judge, 309 00:19:44,520 --> 00:19:44,840 Speaker 7: lest you. 310 00:19:44,920 --> 00:19:45,719 Speaker 1: Not be judged. 311 00:19:46,440 --> 00:19:50,080 Speaker 7: Oh hypocrite, which, by the way, is a judgment. Jesus 312 00:19:50,160 --> 00:19:53,080 Speaker 7: was telling us how to judge, not not to judge. 313 00:19:53,119 --> 00:19:56,360 Speaker 7: It is one of the misquoted, most misunderstood scriptures. 314 00:19:57,200 --> 00:20:00,600 Speaker 1: He also, I know this is a very short clip. 315 00:20:00,600 --> 00:20:03,280 Speaker 1: I'm sure he probably expanded greatly to that, but also 316 00:20:03,680 --> 00:20:06,800 Speaker 1: there's you don't you can't judge the heart of somebody 317 00:20:06,840 --> 00:20:10,879 Speaker 1: that that is up to God. You can criticize the 318 00:20:10,960 --> 00:20:17,120 Speaker 1: actions of people because well that's and don't have time 319 00:20:17,119 --> 00:20:19,920 Speaker 1: to get into a whole theological discussion about this, but yeah, 320 00:20:19,760 --> 00:20:23,879 Speaker 1: the point being made is how to judge the actions 321 00:20:23,880 --> 00:20:26,040 Speaker 1: of people, But you can never judge the hearts of 322 00:20:26,240 --> 00:20:29,120 Speaker 1: an individual that's again up to God, and that's the 323 00:20:29,119 --> 00:20:32,159 Speaker 1: one that lives like to throw in people's faces. You 324 00:20:32,200 --> 00:20:35,720 Speaker 1: can't judge me, like you're doing something that's objectively bad 325 00:20:35,840 --> 00:20:38,920 Speaker 1: for not only you but everybody else. So we can 326 00:20:39,160 --> 00:20:43,320 Speaker 1: curb that behavior as a society if we so choose. Again, 327 00:20:43,560 --> 00:20:46,240 Speaker 1: short of a longer theological discussion, I think that's a 328 00:20:46,560 --> 00:20:51,400 Speaker 1: great point Charlie made. All right, Hey, when we have 329 00:20:51,440 --> 00:20:54,199 Speaker 1: points to get to, well we got to get to him. 330 00:20:54,320 --> 00:20:56,680 Speaker 1: Time to get to the point, get to the point 331 00:21:00,280 --> 00:21:04,640 Speaker 1: the phone. During that little singer, I took a swig 332 00:21:04,680 --> 00:21:08,040 Speaker 1: of some coffee that's been sitting on my desk since yesterday. 333 00:21:09,240 --> 00:21:12,760 Speaker 1: That was a poor decision, just so you know, in 334 00:21:12,800 --> 00:21:17,639 Speaker 1: case there is some adverse reaction physically on the screen, 335 00:21:17,720 --> 00:21:20,080 Speaker 1: that's that's what that's what happens behind the scenes here 336 00:21:20,680 --> 00:21:23,159 Speaker 1: on the show. When you've got zingers I generally am 337 00:21:23,200 --> 00:21:25,600 Speaker 1: taking a swig of something. Turns out it was a 338 00:21:25,680 --> 00:21:31,879 Speaker 1: day old coffee with dairy itits It is not a 339 00:21:31,880 --> 00:21:34,520 Speaker 1: good idea, but enough of behind the scenes times to 340 00:21:34,640 --> 00:21:36,520 Speaker 1: get to the actual point. We already played the zinger, 341 00:21:36,560 --> 00:21:39,879 Speaker 1: so let's get to the first point. I already warned 342 00:21:39,880 --> 00:21:42,560 Speaker 1: you this is gonna be depressing. This from Breitbart, but 343 00:21:42,600 --> 00:21:45,800 Speaker 1: this is being reported pretty much everywhere. The suspect behind 344 00:21:45,840 --> 00:21:52,879 Speaker 1: the Irena Zarutska murder incapable to proceed to trial. The 345 00:21:52,920 --> 00:21:55,360 Speaker 1: Ukrainian refugee who was stabbed to death on a North 346 00:21:55,400 --> 00:21:58,520 Speaker 1: Carolina train. Unfortunately, you probably have all seen the video. 347 00:21:58,560 --> 00:22:06,280 Speaker 1: It's horrendous and terrible. De Carlos Brown Junior was arrested again, 348 00:22:07,400 --> 00:22:09,879 Speaker 1: and not again for this particular crime, but just again 349 00:22:10,000 --> 00:22:15,080 Speaker 1: in general fourteen prior charges such as armed robbery, five 350 00:22:15,160 --> 00:22:18,320 Speaker 1: year prison sentence for robbery with a deadly weapon. He 351 00:22:18,520 --> 00:22:23,160 Speaker 1: was found incapable to proceed to trial based on psychiatric 352 00:22:23,200 --> 00:22:29,800 Speaker 1: evaluation conducted by the Central Regional Hospital there in North Carolina, 353 00:22:30,720 --> 00:22:34,920 Speaker 1: to which I would say, and I understand, I understand 354 00:22:34,960 --> 00:22:38,199 Speaker 1: the dangers. I know my libertarian friends are screaming at 355 00:22:38,200 --> 00:22:41,640 Speaker 1: the TV. Say if you're not capable to stand trial? 356 00:22:41,760 --> 00:22:45,760 Speaker 1: Are you capable, especially with a criminal past, of being 357 00:22:45,880 --> 00:22:49,680 Speaker 1: amongst the population. That is the question that we should 358 00:22:49,680 --> 00:22:52,040 Speaker 1: all be asking. And is it a difficult question to 359 00:22:52,080 --> 00:22:54,439 Speaker 1: wrestle with, especially when it comes to the freedoms of 360 00:22:54,440 --> 00:22:58,400 Speaker 1: the individual. Yes, it is, but it also is necessary. 361 00:22:58,720 --> 00:23:02,320 Speaker 1: We are not a serious society if we can't tackle 362 00:23:02,400 --> 00:23:07,480 Speaker 1: these sorts of issues. If somebody who I think I 363 00:23:07,520 --> 00:23:11,360 Speaker 1: still have to legally say allegedly because it's not settled 364 00:23:11,400 --> 00:23:15,560 Speaker 1: case at this point, clearly from the video stabbed a 365 00:23:15,680 --> 00:23:19,679 Speaker 1: person for no reason, if that person is incapable of 366 00:23:19,680 --> 00:23:23,240 Speaker 1: standing trial, they should also be incapable of being released 367 00:23:23,320 --> 00:23:30,639 Speaker 1: to the public after the prior convictions. Again difficult, difficult again, 368 00:23:30,840 --> 00:23:33,400 Speaker 1: know my libertarian friends are screaming at the screen right now, 369 00:23:33,560 --> 00:23:37,800 Speaker 1: But necessary as a conversation to have when it comes 370 00:23:37,840 --> 00:23:46,440 Speaker 1: to protecting the overall populace. Let's see further under further 371 00:23:46,560 --> 00:23:52,480 Speaker 1: psychiatric examination is going to be undergone in his federal case, 372 00:23:52,880 --> 00:23:57,000 Speaker 1: so you know, there's still there's still some amount of 373 00:23:57,080 --> 00:24:01,119 Speaker 1: hope that justice will be served in this particular case. 374 00:24:01,160 --> 00:24:05,160 Speaker 1: But overall, that I think is the main takeaway. Can 375 00:24:05,240 --> 00:24:08,960 Speaker 1: we as a society come to a conclusion of what 376 00:24:09,000 --> 00:24:14,800 Speaker 1: we do with people who are criminally insane. I say, 377 00:24:14,840 --> 00:24:17,280 Speaker 1: have my opinions, and I'm sure you know those all, right. 378 00:24:17,520 --> 00:24:20,280 Speaker 1: Point number two is that I don't know. I don't 379 00:24:20,320 --> 00:24:24,680 Speaker 1: know this well. This is depressing ish. I'm not trying 380 00:24:24,720 --> 00:24:29,000 Speaker 1: to promise depressing headlines. I'm just saying this is the 381 00:24:29,200 --> 00:24:36,160 Speaker 1: general vibe of the headlines today. Cash strapped USPS suspends 382 00:24:36,400 --> 00:24:40,560 Speaker 1: pension contributions. If you don't know this, the United States 383 00:24:40,640 --> 00:24:45,520 Speaker 1: Postal Service is deemed necessary by the government now in 384 00:24:45,600 --> 00:24:50,240 Speaker 1: the modern age of internet connectivity, not entirely sure if 385 00:24:50,240 --> 00:24:53,520 Speaker 1: that still holds, but it still is deemed quote unquote necessary. 386 00:24:53,600 --> 00:24:57,600 Speaker 1: Because it's necessary. They are able to lose a bajillion 387 00:24:57,760 --> 00:25:03,520 Speaker 1: dollars every single year that for for some reason, FedEx, Ups, DHL, Amazon, 388 00:25:03,600 --> 00:25:07,159 Speaker 1: none of these companies lose money when they're shipping packages, 389 00:25:07,200 --> 00:25:11,119 Speaker 1: but the United States Postal Service, Jeez, they just hemorrhage money. 390 00:25:11,960 --> 00:25:16,159 Speaker 1: Probably a lot of that is due to the Some 391 00:25:16,200 --> 00:25:17,719 Speaker 1: of you are gonna get upset about this because I'm 392 00:25:17,760 --> 00:25:19,640 Speaker 1: sure you worked for the USPS. I'm not talking about 393 00:25:19,680 --> 00:25:24,200 Speaker 1: you specifically, it's just the broader organization as a whole. 394 00:25:24,680 --> 00:25:28,440 Speaker 1: Probably because of the lavish government pensions that are afforded 395 00:25:28,480 --> 00:25:31,520 Speaker 1: to those who work for the US Pension Service, the 396 00:25:31,520 --> 00:25:34,120 Speaker 1: cash strapp The US Postal Service announced Thursday that will 397 00:25:34,119 --> 00:25:40,719 Speaker 1: temporarily suspend its employer pension contributions to defined benefit portions 398 00:25:41,240 --> 00:25:44,520 Speaker 1: of the Federal Employees' Retirement system effective Friday, stopping two 399 00:25:44,600 --> 00:25:48,240 Speaker 1: hundred million dollars of payments every other week, to which 400 00:25:48,280 --> 00:25:52,159 Speaker 1: I say, holy how there are two hundred million dollars 401 00:25:52,200 --> 00:25:59,560 Speaker 1: every other week. This is one of those two where man, 402 00:25:59,840 --> 00:26:02,440 Speaker 1: it's tough. It's tough to be critical here because I 403 00:26:03,320 --> 00:26:05,280 Speaker 1: know that it's going to offend some people. But this 404 00:26:05,720 --> 00:26:09,879 Speaker 1: this feels like teachers, especially in California. The adage of 405 00:26:11,200 --> 00:26:14,120 Speaker 1: teachers don't get paid enough. Where where do you Maybe 406 00:26:14,119 --> 00:26:17,159 Speaker 1: that's not the case where you live in California. I 407 00:26:17,160 --> 00:26:18,760 Speaker 1: don't get in big trouble, for it is gonna get 408 00:26:18,760 --> 00:26:20,720 Speaker 1: clipped up and going to be a big old, big 409 00:26:20,720 --> 00:26:24,560 Speaker 1: old problem. But it's just factually true. Specifically in California, 410 00:26:24,640 --> 00:26:28,320 Speaker 1: teachers are grossly overpaid. When you look at all of 411 00:26:28,320 --> 00:26:30,240 Speaker 1: what they earned throughout the course of the year, given 412 00:26:30,400 --> 00:26:37,040 Speaker 1: three months off, and the pension that they get, it's unbelievable. 413 00:26:37,200 --> 00:26:42,440 Speaker 1: Like people it is so far above the like average 414 00:26:42,480 --> 00:26:46,159 Speaker 1: salary of even a household it's it's crazy. All of 415 00:26:46,200 --> 00:26:48,480 Speaker 1: that is to say is that in a lot of cases, 416 00:26:48,840 --> 00:26:54,119 Speaker 1: government employees, especially in blue states, make way too much money, 417 00:26:54,280 --> 00:26:57,720 Speaker 1: especially on the back end pension end. Uh yeah, you're 418 00:26:57,880 --> 00:27:01,240 Speaker 1: I guess the idea a riginally when this first started 419 00:27:01,400 --> 00:27:03,479 Speaker 1: was well, you're giving up a life in the private 420 00:27:03,560 --> 00:27:07,560 Speaker 1: sector to public service in the in the government sector, 421 00:27:07,600 --> 00:27:10,560 Speaker 1: and therefore we need to entice people by lavish pensions. 422 00:27:10,560 --> 00:27:15,119 Speaker 1: Well that's gone. Now it's just a very very high 423 00:27:15,119 --> 00:27:17,880 Speaker 1: paying job. Again. Not all places you may be in 424 00:27:17,960 --> 00:27:21,760 Speaker 1: like Mississippi or Louisiana, one of those places where teachers 425 00:27:21,760 --> 00:27:24,000 Speaker 1: don't make all that much money. But I guarantee you 426 00:27:24,040 --> 00:27:28,000 Speaker 1: in California, teachers are just they make so much money 427 00:27:28,600 --> 00:27:30,480 Speaker 1: while they're working, and then they don't have to save 428 00:27:30,560 --> 00:27:33,840 Speaker 1: any of it because their pension is unbelievable as well. 429 00:27:34,520 --> 00:27:37,000 Speaker 1: Wasn't expecting to go on a rant against the teachers' unions, 430 00:27:37,000 --> 00:27:39,200 Speaker 1: which again, that's what this is. It's not against teachers. 431 00:27:39,240 --> 00:27:41,520 Speaker 1: If you're a teacher in the public school system in California, 432 00:27:41,720 --> 00:27:44,600 Speaker 1: God bless you, especially if you're watching this show. But 433 00:27:44,680 --> 00:27:50,600 Speaker 1: the teachers' unions have negotiated the consistent screwing of the 434 00:27:50,640 --> 00:27:54,439 Speaker 1: taxpayer in many ways. Bottom line, the agency has been 435 00:27:54,480 --> 00:27:57,760 Speaker 1: in financial trouble, reporting net losses about one hundred and 436 00:27:57,760 --> 00:28:01,879 Speaker 1: eighteen billion dollars since two thousand and seven, which this 437 00:28:01,960 --> 00:28:06,560 Speaker 1: is the back to the USPS. I just wonder how 438 00:28:06,600 --> 00:28:11,880 Speaker 1: FedEx and UPS and DHL all managed to scrape by 439 00:28:12,080 --> 00:28:18,320 Speaker 1: without losing hundreds of billions of dollars. Okay, speaking of California, 440 00:28:18,359 --> 00:28:20,480 Speaker 1: one of the things that conpective to write the ship 441 00:28:20,840 --> 00:28:25,280 Speaker 1: is this. The La Times interestingly had a really uh, 442 00:28:25,600 --> 00:28:28,560 Speaker 1: really fun piece here, especially because the La Times is 443 00:28:28,600 --> 00:28:32,560 Speaker 1: not at all a conservative news outlet, had this article, 444 00:28:32,680 --> 00:28:39,040 Speaker 1: revolution or chaos the massive stakes if a conservative becomes 445 00:28:39,200 --> 00:28:43,440 Speaker 1: California's governor. If you don't know this, there are two 446 00:28:43,520 --> 00:28:45,640 Speaker 1: conservative California is the top We've talked about a number 447 00:28:45,640 --> 00:28:47,640 Speaker 1: time in this show. California is a top two systems. 448 00:28:47,640 --> 00:28:49,840 Speaker 1: So the top two vote getters in the primary, go on, 449 00:28:49,880 --> 00:28:53,000 Speaker 1: doesn't matter if they're both Republicans both Democrats, doesn't matter. 450 00:28:53,320 --> 00:28:56,280 Speaker 1: Top two go on. Now the goal of that as well, 451 00:28:56,320 --> 00:28:59,720 Speaker 1: let's just expense with having a conservative on the ballot 452 00:28:59,720 --> 00:29:02,640 Speaker 1: at all. Let's just have a two Libs fighting out 453 00:29:02,680 --> 00:29:06,560 Speaker 1: for Lib progressive supremacy that actually might blow back in 454 00:29:06,600 --> 00:29:08,960 Speaker 1: their faces because there are so many Libs in on 455 00:29:09,000 --> 00:29:12,360 Speaker 1: the concern on the governor's side that there might actually 456 00:29:12,360 --> 00:29:15,360 Speaker 1: be the top two vote getters be conservatives. Now the 457 00:29:15,480 --> 00:29:20,720 Speaker 1: LA Times is trying to stoke fears with this. They 458 00:29:20,760 --> 00:29:24,520 Speaker 1: say the experts warned that were a conservative governor would 459 00:29:24,520 --> 00:29:29,440 Speaker 1: wield significant executive powers, including budget line, I'd veto's appointments 460 00:29:29,480 --> 00:29:33,640 Speaker 1: emergency declarations, but would face enormous pushback in gridlock due 461 00:29:33,680 --> 00:29:38,760 Speaker 1: to the states supermajorities in both houses could also be 462 00:29:38,960 --> 00:29:43,600 Speaker 1: chaotic with the LIB controlled legislatorre attorney General, the state 463 00:29:43,680 --> 00:29:47,120 Speaker 1: Supreme Court. All of those things could be massive problems, 464 00:29:47,160 --> 00:29:51,440 Speaker 1: which leads to the headline revolution or chaos, to which 465 00:29:51,520 --> 00:29:57,080 Speaker 1: I would respond as a semi student of history, generally speaking, 466 00:29:57,360 --> 00:29:59,920 Speaker 1: it kind of comes with both, right. Both the revel 467 00:30:00,800 --> 00:30:04,040 Speaker 1: kind of comes with the chaos, and the chaos sometimes 468 00:30:04,080 --> 00:30:08,920 Speaker 1: prompts the revolution, which is probably what is needed in California. Obviously, 469 00:30:08,960 --> 00:30:11,520 Speaker 1: we don't want chaos in terms of violence in the streets, 470 00:30:12,400 --> 00:30:18,560 Speaker 1: but legislative chaos is this is maybe maybe necessary when 471 00:30:18,600 --> 00:30:23,120 Speaker 1: it comes to reviving and hopefully revolting politically speaking, in 472 00:30:23,160 --> 00:30:29,320 Speaker 1: the state of Corruptifornia, sorry California. Jeez talked a lot 473 00:30:29,360 --> 00:30:31,920 Speaker 1: about the I tease this at the beginning, so I 474 00:30:32,000 --> 00:30:33,280 Speaker 1: might as well pay it off. Will pay it off 475 00:30:33,280 --> 00:30:35,120 Speaker 1: really quickly. This will be our last get to the 476 00:30:35,120 --> 00:30:37,840 Speaker 1: point here, even though we've got several the one that 477 00:30:37,880 --> 00:30:41,360 Speaker 1: we keep bumping. Producer Glenn is upset about because it's 478 00:30:41,360 --> 00:30:43,400 Speaker 1: been on the docket for the last several days and 479 00:30:43,480 --> 00:30:46,040 Speaker 1: it is very important, but just there's too much to 480 00:30:46,080 --> 00:30:49,720 Speaker 1: talk about. So we'll pay this off very quickly. This 481 00:30:49,760 --> 00:30:52,320 Speaker 1: from the New York Post. Majority of voters in NYC 482 00:30:53,520 --> 00:30:56,040 Speaker 1: say that they're on the wrong track under Mam zo 483 00:30:56,120 --> 00:31:00,560 Speaker 1: Ordni whatever his name is. I'm not entirely sure suggest 484 00:31:00,600 --> 00:31:05,200 Speaker 1: according to a new poll in Emerson College, poll of 485 00:31:05,280 --> 00:31:08,160 Speaker 1: eight hundred and fifty New York City voters found that 486 00:31:08,200 --> 00:31:10,320 Speaker 1: fifty nine percent believe the city is in the wrong 487 00:31:10,360 --> 00:31:13,480 Speaker 1: going on the wrong track during ma'am do or Danny's 488 00:31:13,920 --> 00:31:16,280 Speaker 1: first one hundred days in office, while only forty one 489 00:31:16,280 --> 00:31:22,240 Speaker 1: percent say it's headed in the right direction. Comes as 490 00:31:22,280 --> 00:31:24,720 Speaker 1: a shock to no one, right of all the things 491 00:31:24,800 --> 00:31:28,040 Speaker 1: running through my head, the deep analysis, who could have 492 00:31:28,080 --> 00:31:31,440 Speaker 1: seen this coming literally freaking anybody. So that's that, that's 493 00:31:31,480 --> 00:31:34,640 Speaker 1: all the analysis that is necessary here. Coming up after 494 00:31:34,640 --> 00:31:37,480 Speaker 1: the break, we're going to decide some official business or 495 00:31:37,600 --> 00:31:41,120 Speaker 1: dig ourselves into some official business. Which official business, if 496 00:31:41,160 --> 00:31:44,360 Speaker 1: you don't know, is when officials state their business making 497 00:31:44,360 --> 00:31:47,000 Speaker 1: it official business, which is what we call official business. 498 00:31:47,120 --> 00:31:49,240 Speaker 1: Tbttpustate dot com if you have any thoughts on this 499 00:31:49,440 --> 00:31:52,040 Speaker 1: angry emails By the way, are you a California teacher 500 00:31:52,080 --> 00:31:55,160 Speaker 1: who I just said is probably overpaid, specifically in California, 501 00:31:55,200 --> 00:31:58,120 Speaker 1: specifically because the state is beholden to the mob, that 502 00:31:58,240 --> 00:32:01,720 Speaker 1: is the teacher's union. If you're angry about that, let 503 00:32:01,800 --> 00:32:04,400 Speaker 1: us know TBT ATBs A dot com. We'll be right 504 00:32:04,440 --> 00:32:07,640 Speaker 1: back after the break, okaway. 505 00:32:19,320 --> 00:32:22,240 Speaker 9: But it's not a child, it's a cutis And like 506 00:32:23,040 --> 00:32:27,160 Speaker 9: I don't think any of us remember being in the room, 507 00:32:27,360 --> 00:32:29,280 Speaker 9: you know, so you wouldn't even. 508 00:32:29,120 --> 00:32:34,960 Speaker 6: Know, Like do you remember when you were one? Was 509 00:32:34,960 --> 00:32:36,480 Speaker 6: it okay to kill you when you were one? 510 00:32:37,680 --> 00:32:37,840 Speaker 10: No? 511 00:32:37,960 --> 00:32:40,640 Speaker 1: But I could like if I had endured trauma at 512 00:32:40,680 --> 00:32:41,240 Speaker 1: one years. 513 00:32:41,040 --> 00:32:42,480 Speaker 8: Old, I probably would have remembered it. 514 00:32:43,560 --> 00:32:46,000 Speaker 6: But then so you would you you would be more 515 00:32:46,120 --> 00:32:50,640 Speaker 6: valuable if you had experienced trauma. 516 00:32:51,520 --> 00:32:52,160 Speaker 7: I don't think so. 517 00:32:52,920 --> 00:32:55,680 Speaker 6: I'm just saying, like the the just the logical cascade there, 518 00:32:55,720 --> 00:33:00,920 Speaker 6: it's like this abortion is okay because they wouldn't remember it. 519 00:33:01,280 --> 00:33:03,880 Speaker 6: And then I brought up did you remember being one? No, 520 00:33:05,120 --> 00:33:07,840 Speaker 6: but if you experienced trauma, you'd remember it. So if 521 00:33:07,840 --> 00:33:09,360 Speaker 6: you experienced trauma, you would be. 522 00:33:09,320 --> 00:33:10,120 Speaker 1: Able to remember it. 523 00:33:10,400 --> 00:33:13,280 Speaker 6: And being able to remember things is what brings you value. 524 00:33:13,440 --> 00:33:17,520 Speaker 4: But I don't think you remember anything pass like before before. 525 00:33:17,960 --> 00:33:21,520 Speaker 6: Yeah, I'm just saying our ability to remember things is 526 00:33:21,560 --> 00:33:22,800 Speaker 6: not where we get our rights. 527 00:33:24,960 --> 00:33:26,360 Speaker 1: I mean, obviously, I don't know if I have to 528 00:33:26,360 --> 00:33:32,400 Speaker 1: add anything of that. Yeah, clearly. Uh. The way that 529 00:33:33,080 --> 00:33:37,240 Speaker 1: libs choose to delineate what type of person, what age 530 00:33:37,280 --> 00:33:40,760 Speaker 1: of person have or don't have value is always unbelievable 531 00:33:40,800 --> 00:33:46,840 Speaker 1: to me. It's crazy that you think, well, you're not 532 00:33:46,880 --> 00:33:50,840 Speaker 1: you're not a person if you're if you can't remember anything. Also, 533 00:33:51,760 --> 00:33:54,040 Speaker 1: the dumbest people among us should be able to vote. 534 00:33:54,080 --> 00:33:56,400 Speaker 1: And I say that meaning they're trying to like lower 535 00:33:56,440 --> 00:33:59,360 Speaker 1: the voting age, like fourteen, which you know, no offense 536 00:33:59,360 --> 00:34:03,000 Speaker 1: to fourteen feet fifteen sixteen seventeen year olds. He got 537 00:34:03,040 --> 00:34:07,520 Speaker 1: a little more life to learn, and the right to 538 00:34:07,600 --> 00:34:09,560 Speaker 1: vote is not the same as the right to life. 539 00:34:09,640 --> 00:34:15,240 Speaker 1: It's the arguments. Just I don't know, bring some better arguments, Libs. 540 00:34:16,960 --> 00:34:19,480 Speaker 1: Why where were we? Oh, it's official business time. Hey, 541 00:34:19,480 --> 00:34:20,960 Speaker 1: this is my favorite part of the show because we 542 00:34:21,000 --> 00:34:23,600 Speaker 1: get to make fun of elected officials, generally libs when 543 00:34:23,640 --> 00:34:27,080 Speaker 1: they speak on their official platforms, because then it makes 544 00:34:27,120 --> 00:34:37,799 Speaker 1: it official business. First up in official business is Timu Obama, 545 00:34:37,840 --> 00:34:41,759 Speaker 1: also known as Congressman Hakeem Jeffries, the minority leader in 546 00:34:41,800 --> 00:34:44,480 Speaker 1: the House of Representatives. And I only include that to 547 00:34:44,520 --> 00:34:47,359 Speaker 1: say this is not some putts right, this is like 548 00:34:47,480 --> 00:34:52,960 Speaker 1: the top. He's the new Nancy Pelosi, although significantly dumber. 549 00:34:53,360 --> 00:34:55,400 Speaker 1: And that's not to say I agree with Nancy Pelosi 550 00:34:55,440 --> 00:34:57,480 Speaker 1: at all. I'm just saying she was a smart person 551 00:34:57,960 --> 00:35:02,520 Speaker 1: and unfortunately accomplished a lot of things. So Hakeem Jeffries 552 00:35:02,760 --> 00:35:08,040 Speaker 1: is Nancy Nancy Hakeem Jefferies his new title officially deemed 553 00:35:08,080 --> 00:35:11,719 Speaker 1: by me. Here he is talking about DEI in the 554 00:35:11,760 --> 00:35:17,319 Speaker 1: military and why we need to prioritize diversity by race 555 00:35:17,360 --> 00:35:20,600 Speaker 1: for some reason, which makes you a racist instead of merit. 556 00:35:21,600 --> 00:35:22,320 Speaker 11: That sicks. 557 00:35:22,880 --> 00:35:26,560 Speaker 10: And when you attack diversity, equity and inclusion, you attack 558 00:35:26,600 --> 00:35:31,840 Speaker 10: the United States of America. We have the high ground 559 00:35:31,880 --> 00:35:33,719 Speaker 10: on this issue, which is why I'm so thankful that 560 00:35:33,800 --> 00:35:37,279 Speaker 10: Reverend Sharpton and the National Action Network continues to lean in. 561 00:35:38,400 --> 00:35:41,440 Speaker 10: And here's the other thing that we know that this 562 00:35:41,520 --> 00:35:47,600 Speaker 10: effort attacking DEI, it's not a serious effort. It's not 563 00:35:47,680 --> 00:35:49,920 Speaker 10: about celebrating merit. 564 00:35:49,960 --> 00:35:50,920 Speaker 12: That's what they tell you. 565 00:35:52,320 --> 00:35:56,799 Speaker 10: They're not trying to celebrate merit. They're trying to elevate mediocrity. 566 00:35:57,080 --> 00:35:58,640 Speaker 10: Here's how we know that's the case. 567 00:35:59,160 --> 00:36:02,040 Speaker 12: Just look at Oh they put in charge of the 568 00:36:02,160 --> 00:36:10,200 Speaker 12: attack on Dion Pete Hegseth, the most unqualified Secretary of Defense. 569 00:36:09,760 --> 00:36:14,440 Speaker 10: In American history. You don't have the standing selection anyone. 570 00:36:14,520 --> 00:36:16,960 Speaker 10: This guy can't organize a two car funeral. 571 00:36:19,960 --> 00:36:21,680 Speaker 1: I mean, do we even need to like criticize what 572 00:36:21,680 --> 00:36:23,919 Speaker 1: he said, because what he says is just so objectively 573 00:36:24,160 --> 00:36:29,880 Speaker 1: factually wrong. Pete Hegseth couldn't organize a two car funeral. 574 00:36:29,920 --> 00:36:32,080 Speaker 1: First of all, the saying is two car parade. Second 575 00:36:32,080 --> 00:36:34,839 Speaker 1: of all, he's not the Defense secretary, is the war secretary. 576 00:36:35,280 --> 00:36:38,920 Speaker 1: Third of all, according to pretty much everybody, the strikes 577 00:36:38,920 --> 00:36:42,319 Speaker 1: on Iran agree with them or not, the rescues that 578 00:36:42,360 --> 00:36:46,960 Speaker 1: we've been able to accomplish in Iran are unbelievable in 579 00:36:47,080 --> 00:36:51,720 Speaker 1: terms of coordination, and Pete Teigseth is the top guy there. Also, 580 00:36:51,880 --> 00:36:56,960 Speaker 1: his accolades prior to any actual military action as the 581 00:36:57,040 --> 00:36:59,759 Speaker 1: Secretary of War are also pretty impressive. So I'm not 582 00:36:59,760 --> 00:37:04,520 Speaker 1: sure what you're talking about, Chemu, but yeah, you're right, 583 00:37:04,520 --> 00:37:08,360 Speaker 1: we should prioritize. Let's make sure, uh, let let's not 584 00:37:08,440 --> 00:37:13,400 Speaker 1: look at any other qualifiers. Just black guy, black girl, 585 00:37:13,840 --> 00:37:16,239 Speaker 1: white guy, white girl. Let's make sure we have all 586 00:37:16,280 --> 00:37:19,239 Speaker 1: the same amounts, because that's what matters, you know, not 587 00:37:19,440 --> 00:37:24,359 Speaker 1: military preparedness, more minorities. That's what we should focus on 588 00:37:24,400 --> 00:37:29,680 Speaker 1: and prioritize. What a dumb thing to say. He didn't 589 00:37:29,680 --> 00:37:32,440 Speaker 1: even He also couldn't get DEI out of his mouth 590 00:37:33,680 --> 00:37:38,440 Speaker 1: correctly or succinctly. He's the d d I d I 591 00:37:38,640 --> 00:37:44,399 Speaker 1: d I, which was not an issue for this Canadian MP. Now, 592 00:37:44,920 --> 00:37:49,280 Speaker 1: generally speaking, official business is usually relegated to United States 593 00:37:49,320 --> 00:37:52,600 Speaker 1: officials and United States bureaucrats, but in this particular instance, 594 00:37:53,520 --> 00:37:57,040 Speaker 1: this was so unbelievable that we had to bring into 595 00:37:57,040 --> 00:38:04,560 Speaker 1: official business a Canadian official, in which she This is 596 00:38:04,600 --> 00:38:07,160 Speaker 1: both horrifying and impressive I'm just gonna play the clip 597 00:38:07,600 --> 00:38:08,120 Speaker 1: cut seven. 598 00:38:09,440 --> 00:38:12,080 Speaker 9: When the budget was released, I was shocked to find 599 00:38:12,120 --> 00:38:16,640 Speaker 9: out that Prime Minister Carney is cutting seven billion dollars 600 00:38:16,719 --> 00:38:22,360 Speaker 9: between Indigenous Services Canada and Crown Indigenous Relations. They provided 601 00:38:22,719 --> 00:38:26,879 Speaker 9: zero dollars to deal with the ongoing genocide of m 602 00:38:26,880 --> 00:38:32,480 Speaker 9: MIIWG two S lgbt QQIA plus. This is abhorrent, This 603 00:38:32,600 --> 00:38:36,120 Speaker 9: is kellous, This is kellus because the very liberal government 604 00:38:36,520 --> 00:38:40,320 Speaker 9: that has stripped organizations of life sustaining funding. 605 00:38:41,440 --> 00:38:43,160 Speaker 1: Now, I'm going to pretty sure, Glen, I'm gonna hold 606 00:38:43,200 --> 00:38:46,239 Speaker 1: this screen here for a second because that was unbelievable. 607 00:38:46,320 --> 00:38:48,400 Speaker 1: Now you may have not seen a shock on my 608 00:38:48,440 --> 00:38:51,279 Speaker 1: face because I've watched this video several times, but yeah, 609 00:38:51,360 --> 00:38:53,879 Speaker 1: you may at home be shown. What did she say? 610 00:38:53,920 --> 00:38:57,239 Speaker 1: The genocide of what? First of all, it sounds like 611 00:38:57,719 --> 00:39:03,040 Speaker 1: when we're talking about the lgb t Q plus thing. 612 00:39:03,719 --> 00:39:06,160 Speaker 1: At a certain point, it just encompasses every How are 613 00:39:06,200 --> 00:39:09,560 Speaker 1: there two letters of the same How are there two 614 00:39:09,600 --> 00:39:10,839 Speaker 1: of the same letters? 615 00:39:11,360 --> 00:39:11,480 Speaker 8: Like? 616 00:39:11,520 --> 00:39:14,320 Speaker 1: What is they? At a certain point you're just reciting 617 00:39:14,360 --> 00:39:20,560 Speaker 1: PI three point one? Fo what who isn't encompassed in 618 00:39:20,600 --> 00:39:22,279 Speaker 1: the plus? Now, the reason I wanted to stay on 619 00:39:22,320 --> 00:39:26,319 Speaker 1: this because we're gonna do a show. First here, I'm 620 00:39:26,360 --> 00:39:30,040 Speaker 1: gonna try. I'm gonna make an attempt. I have it 621 00:39:30,120 --> 00:39:33,080 Speaker 1: on the screen here. Where it is whar we just 622 00:39:33,120 --> 00:39:36,800 Speaker 1: discussed why it's horrifying. Where it's impressive is the ability 623 00:39:36,840 --> 00:39:39,919 Speaker 1: to get all of that out. I think of when 624 00:39:40,400 --> 00:39:46,480 Speaker 1: Justin Trudeau the l g b t t l g 625 00:39:46,880 --> 00:39:48,960 Speaker 1: b t q. If you remember that clip, great, I 626 00:39:49,000 --> 00:39:52,239 Speaker 1: probably should have had that here, but it's just it 627 00:39:52,560 --> 00:39:55,200 Speaker 1: reminds me of that clip. The impressive part is being 628 00:39:55,239 --> 00:39:59,320 Speaker 1: able to get all of that out, unlike Kaqim Jeffers 629 00:39:59,360 --> 00:40:04,560 Speaker 1: with d in one very very smooth objective. So I, 630 00:40:04,800 --> 00:40:08,120 Speaker 1: with the letters on my screen, am going to attempt 631 00:40:08,520 --> 00:40:11,279 Speaker 1: to say it at the same time as this day 632 00:40:11,360 --> 00:40:14,919 Speaker 1: them and see how it goes. Okay, ready, we're gonna 633 00:40:14,920 --> 00:40:15,440 Speaker 1: do it together. 634 00:40:15,640 --> 00:40:22,320 Speaker 9: Relations They provided zero dollars to deal with the ongoing genocide. 635 00:40:21,680 --> 00:40:24,200 Speaker 1: Of M M I, S l g b t q 636 00:40:24,320 --> 00:40:25,760 Speaker 1: q I A plus I didn't. 637 00:40:25,520 --> 00:40:28,440 Speaker 9: Even get is abhorrent, This is callous. 638 00:40:28,760 --> 00:40:32,040 Speaker 1: I didn't even get the first three letters, M M I, 639 00:40:32,320 --> 00:40:36,799 Speaker 1: WG two s l g B t qq I A 640 00:40:37,120 --> 00:40:40,640 Speaker 1: plus what are the two c's? Honest to god, this 641 00:40:40,719 --> 00:40:44,360 Speaker 1: is this is not satire. This is a real person 642 00:40:44,760 --> 00:40:48,680 Speaker 1: with political power. M M I WG. If you can 643 00:40:48,719 --> 00:40:50,359 Speaker 1: do it, t PT at t BU s A dot com. 644 00:40:50,400 --> 00:40:52,280 Speaker 1: I want to see videos, if you guys can send. 645 00:40:52,520 --> 00:40:54,279 Speaker 1: I know that we've never done this sort of thing, 646 00:40:54,280 --> 00:40:56,160 Speaker 1: We've never asked for this sort of thing, but I 647 00:40:56,160 --> 00:40:59,040 Speaker 1: would like to see a video of somebody trying to 648 00:40:59,040 --> 00:41:03,120 Speaker 1: get it out as clearly as this lay them right here. 649 00:41:03,560 --> 00:41:05,920 Speaker 1: I don't know if it's even possible. M M I 650 00:41:06,080 --> 00:41:09,680 Speaker 1: w G two S two l g B t Q help. 651 00:41:10,040 --> 00:41:14,640 Speaker 1: I can't even do it slow. Well, that's you know, 652 00:41:16,320 --> 00:41:18,080 Speaker 1: because we rewatched this. We don't have a ton of 653 00:41:18,080 --> 00:41:19,600 Speaker 1: time to get to a bunch else. But I would 654 00:41:19,600 --> 00:41:22,160 Speaker 1: like emails TPT at t p U s A dot com. 655 00:41:22,200 --> 00:41:24,759 Speaker 1: Maybe we should make that our maybe producer Glenn, well, 656 00:41:24,800 --> 00:41:27,240 Speaker 1: maybe we'll task producer Glenn with making that the email. 657 00:41:27,560 --> 00:41:30,279 Speaker 1: The email is m M I G W two l 658 00:41:30,360 --> 00:41:33,040 Speaker 1: g B t Q two plus at t BU s 659 00:41:33,080 --> 00:41:35,840 Speaker 1: A dot com. But it's not tp T at t 660 00:41:35,920 --> 00:41:37,400 Speaker 1: b O s A dot com is the email address. 661 00:41:37,640 --> 00:41:39,680 Speaker 1: We'll be right back after the break with a U 662 00:41:40,040 --> 00:41:42,840 Speaker 1: oh geez, more ragging on Californians. Yeah, you hate to 663 00:41:42,880 --> 00:41:44,919 Speaker 1: see that Uh, don't go, I'll be right back. 664 00:41:58,719 --> 00:42:02,680 Speaker 11: Two were running together, but the other disciple out ran Peter. 665 00:42:03,000 --> 00:42:05,000 Speaker 11: What and reach the term first? 666 00:42:05,080 --> 00:42:05,319 Speaker 12: John? 667 00:42:05,400 --> 00:42:05,520 Speaker 5: What? 668 00:42:05,640 --> 00:42:05,839 Speaker 8: Wait? 669 00:42:05,880 --> 00:42:07,480 Speaker 11: Writing that for the other disciple? 670 00:42:07,600 --> 00:42:07,960 Speaker 1: You're John? 671 00:42:08,000 --> 00:42:09,520 Speaker 11: You could just say your name. People know it's whom 672 00:42:09,640 --> 00:42:10,279 Speaker 11: Jesus love. 673 00:42:10,400 --> 00:42:11,279 Speaker 1: Okay, we get it. 674 00:42:11,400 --> 00:42:13,319 Speaker 11: Reached the tomb first? But John, why do you need 675 00:42:13,360 --> 00:42:14,240 Speaker 11: to mention you first? 676 00:42:14,400 --> 00:42:14,640 Speaker 1: Because? 677 00:42:14,680 --> 00:42:16,640 Speaker 11: Accurate, Peter, John, I'm an old man. Of course you're 678 00:42:16,640 --> 00:42:17,879 Speaker 11: gonna beat me there. Why are you trying to play? 679 00:42:18,000 --> 00:42:19,520 Speaker 11: Do you want me to bear false witness? I can't 680 00:42:19,600 --> 00:42:21,200 Speaker 11: like Peter, I got there first? Just said we got 681 00:42:21,200 --> 00:42:23,040 Speaker 11: there together. Did I get there first? It doesn't matter. 682 00:42:23,120 --> 00:42:23,959 Speaker 11: Did I get there first? 683 00:42:24,000 --> 00:42:24,080 Speaker 7: Oh? 684 00:42:24,120 --> 00:42:25,120 Speaker 11: I got there right after you. 685 00:42:25,239 --> 00:42:26,200 Speaker 1: I got to the tomb first. 686 00:42:26,239 --> 00:42:28,080 Speaker 11: Are you going to deny this as well? Peter, John, 687 00:42:28,120 --> 00:42:29,520 Speaker 11: I got there right after you. Don't need to go 688 00:42:29,520 --> 00:42:32,040 Speaker 11: with Peter. Listen, you're the rock. You're slower. I got 689 00:42:32,040 --> 00:42:33,640 Speaker 11: to the tomb first. Let me just write that. Why 690 00:42:33,680 --> 00:42:36,080 Speaker 11: doesn't matter because the people need to know it. I 691 00:42:36,120 --> 00:42:38,120 Speaker 11: need to know what John, that I'm faster than you 692 00:42:38,200 --> 00:42:39,360 Speaker 11: and I got to the tomb first. 693 00:42:40,040 --> 00:42:42,319 Speaker 1: That has always been one of the funniest verses I 694 00:42:42,360 --> 00:42:46,000 Speaker 1: think there's no reason, there's no like theological reason to 695 00:42:46,120 --> 00:42:51,000 Speaker 1: include that. But just John was fast. You got to it. 696 00:42:51,000 --> 00:42:52,960 Speaker 1: I don't know why I'm saying it in an Australian accent. 697 00:42:53,480 --> 00:42:56,560 Speaker 1: Very funny, Uh like I'm liking the Bible humor that 698 00:42:56,560 --> 00:42:59,640 Speaker 1: that's always that's always good. Welcome. All right, Hey, it's 699 00:42:59,680 --> 00:43:01,960 Speaker 1: Thursday and limited amount of time, so let's get to 700 00:43:02,000 --> 00:43:05,080 Speaker 1: it right off the bat. It's the Thursday Tribunal or 701 00:43:05,680 --> 00:43:10,320 Speaker 1: Justice Thursday Thirstday Tribunal. 702 00:43:13,400 --> 00:43:14,160 Speaker 4: Thursday. 703 00:43:15,520 --> 00:43:19,160 Speaker 1: As you can see, appropriately, I'm depicted as a judge, 704 00:43:19,200 --> 00:43:22,800 Speaker 1: but I also am this case, am the prosecutor, the jury, 705 00:43:23,360 --> 00:43:25,799 Speaker 1: and the judge and the executioner if needed, if that's 706 00:43:25,800 --> 00:43:28,799 Speaker 1: what the judge deems as an appropriate sentence for the 707 00:43:28,840 --> 00:43:32,400 Speaker 1: crimes committed by whoever here's here on trial. First of all, 708 00:43:32,400 --> 00:43:34,680 Speaker 1: I've got to choose to indict. This article is from 709 00:43:34,719 --> 00:43:41,560 Speaker 1: the San Francisco Gate, a California publication talking about California, California. 710 00:43:41,600 --> 00:43:45,160 Speaker 1: This headline California made them rich on paper and now 711 00:43:45,280 --> 00:43:49,440 Speaker 1: they're stuck in place. Lots of homeowners across California feel 712 00:43:49,520 --> 00:43:54,880 Speaker 1: locked into their housing situation this entire article, and unfortunately 713 00:43:54,880 --> 00:43:57,480 Speaker 1: we're probably gonna leave almost zero time for mailbag. This 714 00:43:57,760 --> 00:44:03,520 Speaker 1: entire article is coming that California real estate prices have 715 00:44:03,680 --> 00:44:07,200 Speaker 1: gone up just too much. Now in California, that doesn't 716 00:44:07,239 --> 00:44:10,319 Speaker 1: mean your property taxes go up. That means you're the 717 00:44:10,440 --> 00:44:13,480 Speaker 1: value that you now have in that house. The equity 718 00:44:13,520 --> 00:44:17,680 Speaker 1: you have in that house is a lot, which if 719 00:44:17,680 --> 00:44:20,759 Speaker 1: you're any sort of investor, is a good thing. But 720 00:44:20,840 --> 00:44:25,840 Speaker 1: oh no, it's disastrous because these Californians who consistently vote 721 00:44:25,840 --> 00:44:30,680 Speaker 1: for more progressive government, which generally means more taxes, are 722 00:44:30,760 --> 00:44:34,440 Speaker 1: gonna owe taxes. I get you not. This entire article 723 00:44:34,960 --> 00:44:39,799 Speaker 1: is saying things like, well, yes, the houses in California 724 00:44:39,840 --> 00:44:43,880 Speaker 1: have quadrupled in value, but well they can't sell it 725 00:44:43,960 --> 00:44:46,839 Speaker 1: because they'll have to pay capital gains tax, as you 726 00:44:46,880 --> 00:44:49,399 Speaker 1: would on any sort of stock. Right, if your home 727 00:44:49,520 --> 00:44:52,120 Speaker 1: quadruples in value over the course of twenty years, which 728 00:44:52,120 --> 00:44:55,480 Speaker 1: is the example that they gave in the article, it's 729 00:44:55,520 --> 00:44:58,040 Speaker 1: like eight percent every single year, which is a pretty 730 00:44:58,120 --> 00:45:00,919 Speaker 1: dang good investment. Yeah, if or in stocks, you would 731 00:45:00,960 --> 00:45:04,440 Speaker 1: have to pay capital gains. But oh no, the poor 732 00:45:04,560 --> 00:45:08,160 Speaker 1: libs in California, their houses are just they've made them 733 00:45:08,280 --> 00:45:11,920 Speaker 1: so wealthy that well they can't leave because if they left, 734 00:45:12,160 --> 00:45:14,680 Speaker 1: they would have to pay the very taxes that they 735 00:45:14,840 --> 00:45:19,080 Speaker 1: freaking voted for. I'm very passionate about this, especially as 736 00:45:19,080 --> 00:45:21,240 Speaker 1: a guy in California who has a lot of friends 737 00:45:21,280 --> 00:45:24,480 Speaker 1: who can't because of a lot of different reasons, afford 738 00:45:24,520 --> 00:45:28,239 Speaker 1: to buy homes in this state. And now the homeowners 739 00:45:28,480 --> 00:45:36,160 Speaker 1: that have been made crazy wealthy feel stuck. Oh boohoo, 740 00:45:37,360 --> 00:45:40,879 Speaker 1: sell the house, pay the taxes that you freaking voted for, 741 00:45:41,520 --> 00:45:44,560 Speaker 1: and move on with your life with your millions of 742 00:45:44,640 --> 00:45:48,719 Speaker 1: dollars after taxes. You don't get a break from me. 743 00:45:48,840 --> 00:45:52,719 Speaker 1: So yes, I am choosing to prosecute these people for 744 00:45:53,360 --> 00:45:57,839 Speaker 1: whininess and irritation on my behalf. I'm irritated with them 745 00:45:58,280 --> 00:46:02,200 Speaker 1: and they're stupid complaints. I also as the jury find 746 00:46:02,200 --> 00:46:07,360 Speaker 1: them guilty, and as the judge, I sentenced them to 747 00:46:07,440 --> 00:46:11,120 Speaker 1: having to live in California. This article specifically talks about 748 00:46:11,120 --> 00:46:14,040 Speaker 1: some couple that bought their home in San Francisco in 749 00:46:14,080 --> 00:46:16,799 Speaker 1: the Bay Area, and over the last twenty years, their 750 00:46:17,160 --> 00:46:19,920 Speaker 1: home is quadrupled in value and if they move, they 751 00:46:19,920 --> 00:46:22,800 Speaker 1: would have to pay capital gains tax. Yeah, they would 752 00:46:22,800 --> 00:46:27,200 Speaker 1: also receive the upside of literally millions of dollars after 753 00:46:27,320 --> 00:46:30,480 Speaker 1: the taxes. But they just they feel stuck. So you 754 00:46:30,520 --> 00:46:32,560 Speaker 1: know what, I sentence you to having to live in 755 00:46:32,600 --> 00:46:38,080 Speaker 1: that stuckness boohoo with your million dollar houses. This article 756 00:46:38,080 --> 00:46:40,560 Speaker 1: also says real estate tax attorney says owners of three 757 00:46:40,600 --> 00:46:44,040 Speaker 1: million dollar homes could face a five hundred thousand dollars 758 00:46:44,120 --> 00:46:49,120 Speaker 1: in tax liabilities. Freaking that's your own fault. You've voted 759 00:46:49,160 --> 00:46:53,880 Speaker 1: for that. God, this makes me so irritated. Justice Thursday. 760 00:46:53,920 --> 00:46:56,120 Speaker 1: I believe justice has served. I sentenced them to having 761 00:46:56,160 --> 00:46:59,640 Speaker 1: to live in this godforsaken hell that they created in 762 00:46:59,680 --> 00:47:05,600 Speaker 1: their million dollar houses. Uh all right, tbttvsday dot com 763 00:47:05,600 --> 00:47:21,600 Speaker 1: mail bag right after the breaknek away, all right. Due 764 00:47:21,640 --> 00:47:23,480 Speaker 1: to a lack of time, we're not gonna we're gonna 765 00:47:23,520 --> 00:47:26,120 Speaker 1: skip the comeback clip today. We're gonna go straight in 766 00:47:26,160 --> 00:47:27,320 Speaker 1: to the emails. 767 00:47:28,200 --> 00:47:28,360 Speaker 7: You know. 768 00:47:28,400 --> 00:47:30,680 Speaker 1: Of course we have suggestions on how to We did 769 00:47:30,719 --> 00:47:34,520 Speaker 1: the whole first segment yesterday on Mum Dunni's which again 770 00:47:34,560 --> 00:47:36,719 Speaker 1: whose name I have no idea how to pronounce some 771 00:47:36,760 --> 00:47:40,960 Speaker 1: suggestions on how to pronounce that. Mark has a comment 772 00:47:41,120 --> 00:47:47,000 Speaker 1: on NYC says the silly celebration should take should take precedence. Yeah, 773 00:47:47,040 --> 00:47:50,440 Speaker 1: that's that also true. If you're gonna decide between the 774 00:47:50,480 --> 00:47:53,720 Speaker 1: World Cup and the city's the celebration of the country, 775 00:47:54,080 --> 00:47:57,200 Speaker 1: go ahead and prioritize the celebration of the country. We're 776 00:47:57,239 --> 00:48:01,000 Speaker 1: better than the World Cup takes friend soccer. We're not 777 00:48:01,040 --> 00:48:03,480 Speaker 1: good at soccer. But also I feel like there's a 778 00:48:03,520 --> 00:48:07,839 Speaker 1: certain amount of American news that necessitates being bad at soccer. Hey, 779 00:48:07,880 --> 00:48:11,480 Speaker 1: we have real sports that involve contact and entertainment, not 780 00:48:11,560 --> 00:48:14,960 Speaker 1: some dudes kicking a ball around for an hour and 781 00:48:15,000 --> 00:48:18,040 Speaker 1: a half to end up zero zero. Nobody wants to 782 00:48:18,040 --> 00:48:22,360 Speaker 1: watch that. There's a certain American quality to not liking soccer. 783 00:48:22,680 --> 00:48:24,880 Speaker 1: But anyways, He also goes on to give me a suggestion, 784 00:48:27,560 --> 00:48:35,040 Speaker 1: Zorco Dorco man chaser, how you pronounced the mayor New 785 00:48:35,120 --> 00:48:38,480 Speaker 1: York City's name? You know that was a little far fetched. 786 00:48:38,560 --> 00:48:40,680 Speaker 1: I'll be houes with you, Mark, I appreciate the suggestion. 787 00:48:41,040 --> 00:48:44,640 Speaker 1: I'm not entirely sure how how possible that is to 788 00:48:44,719 --> 00:48:49,880 Speaker 1: work in to our system. Another viewer name not exactly known, 789 00:48:50,080 --> 00:48:53,239 Speaker 1: man dummy. I think that one's been suggested. I do 790 00:48:53,360 --> 00:48:59,920 Speaker 1: like that one. Let's see, Stacey suggests man man Comie. 791 00:49:01,120 --> 00:49:03,479 Speaker 1: I like that one. I like that one too. Let's 792 00:49:03,560 --> 00:49:09,040 Speaker 1: see that the oh Sheldon frequent correspondent. Well, often like 793 00:49:09,120 --> 00:49:14,280 Speaker 1: Sheldon's emails asking do I actually play the guitar behind 794 00:49:14,320 --> 00:49:17,320 Speaker 1: me or is it a prop? You know, when designing 795 00:49:17,360 --> 00:49:19,560 Speaker 1: the set, we kind of put some little leaster eggs 796 00:49:19,600 --> 00:49:21,160 Speaker 1: you see right next to that as a picture of 797 00:49:21,200 --> 00:49:25,480 Speaker 1: George Washington, a plate of George Washington painting. But the 798 00:49:25,520 --> 00:49:28,600 Speaker 1: guitar behind me, Yes and no. I do play the 799 00:49:28,640 --> 00:49:32,640 Speaker 1: guitar quite frequently, by the way. I enjoy playing the guitar, 800 00:49:32,680 --> 00:49:36,120 Speaker 1: both acoustic and electric. But that is a nylon guitar 801 00:49:36,440 --> 00:49:39,439 Speaker 1: that I picked up at a thrift store, I think 802 00:49:39,520 --> 00:49:42,759 Speaker 1: for like thirty bucks. But I don't play that one specifically. 803 00:49:42,800 --> 00:49:45,279 Speaker 1: So the answer to question yes or no, Yes and no. 804 00:49:45,760 --> 00:49:48,080 Speaker 1: That's gonna do it for us here on the show today. 805 00:49:48,080 --> 00:49:51,160 Speaker 1: We'll see it tomorrow, same time, same place, TPTATPUSA dot com. 806 00:49:51,320 --> 00:49:58,080 Speaker 1: God Bless America.