1 00:00:00,160 --> 00:00:05,880 Speaker 1: Hey, Jesse Kelly Show. Another hour of The Jesse Kelly 2 00:00:06,000 --> 00:00:11,119 Speaker 1: Show on a fantastic, magnificent Tuesday. So we're about to 3 00:00:11,160 --> 00:00:14,160 Speaker 1: have a talk about a couple different things that are 4 00:00:14,200 --> 00:00:16,120 Speaker 1: gonna all kind of be the same thing. It's gonna 5 00:00:16,120 --> 00:00:18,680 Speaker 1: be about piggybacking on what we talked about yesterday, the 6 00:00:18,760 --> 00:00:22,920 Speaker 1: jobs market. Some of the reasons it's it's down. Someone 7 00:00:22,960 --> 00:00:26,439 Speaker 1: has a really great email and questions about AI, and 8 00:00:26,680 --> 00:00:28,920 Speaker 1: it's the things some of the billionaires say and things 9 00:00:28,920 --> 00:00:30,680 Speaker 1: like that. So we're actually gonna open up second hour 10 00:00:30,800 --> 00:00:34,960 Speaker 1: talking about that. I am glad that that touched people yesterday. 11 00:00:35,000 --> 00:00:38,000 Speaker 1: We're gonna continue to bring this up into the politicians 12 00:00:38,000 --> 00:00:42,440 Speaker 1: of this country. Here, the jobs market is not good, okay, 13 00:00:42,479 --> 00:00:44,960 Speaker 1: so do what you can to fix it, and don't 14 00:00:44,960 --> 00:00:47,120 Speaker 1: tell people it's great. All right, we'll get to that, 15 00:00:47,479 --> 00:00:51,000 Speaker 1: get some NATO stuff, get to some emails. But on 16 00:00:51,080 --> 00:00:53,120 Speaker 1: the jobs market thing, I saw this one today from 17 00:00:53,159 --> 00:00:57,640 Speaker 1: the Federalist report shows Obamacare fraud is worse than you think. 18 00:00:57,680 --> 00:00:59,400 Speaker 1: All right, I'm not gonna go into any of that. 19 00:00:59,440 --> 00:00:59,600 Speaker 2: But. 20 00:01:01,480 --> 00:01:04,720 Speaker 1: Remember what we talked about when we got the details 21 00:01:04,800 --> 00:01:08,479 Speaker 1: of pretty much every job's report. Remember where the jobs 22 00:01:08,520 --> 00:01:12,199 Speaker 1: were going remember in case you don't remember, it's fine, 23 00:01:12,200 --> 00:01:14,280 Speaker 1: don't worry. Don't have to remember every stupid detail. You 24 00:01:14,280 --> 00:01:16,679 Speaker 1: have a life to live. It's my job to be stupid. 25 00:01:16,720 --> 00:01:21,240 Speaker 1: It's Chris's job to really be stupid. Anyway, Remember all 26 00:01:21,240 --> 00:01:25,520 Speaker 1: the jobs went to the healthcare field. I get emails 27 00:01:25,560 --> 00:01:27,720 Speaker 1: from people who are struggling to find work or a 28 00:01:27,880 --> 00:01:30,240 Speaker 1: found work, or their daughter has or their son has. 29 00:01:31,160 --> 00:01:35,920 Speaker 1: There is a theme that can't be missed. Jesse, my 30 00:01:36,080 --> 00:01:39,520 Speaker 1: daughter went into nursing and got a job. My daughter 31 00:01:39,600 --> 00:01:42,759 Speaker 1: became a nurse and got a job. My son became 32 00:01:42,800 --> 00:01:45,720 Speaker 1: a nurse and got a job. You look at the 33 00:01:45,800 --> 00:01:49,920 Speaker 1: job's numbers. We created a one hundred and ninety thousand jobs. 34 00:01:50,800 --> 00:01:53,240 Speaker 1: Hold on, wait a minute, one hundred and seventy thousand 35 00:01:53,240 --> 00:02:01,240 Speaker 1: of those were in the healthcare field. What's happening, Well, 36 00:02:01,480 --> 00:02:04,200 Speaker 1: couple different things, actually, but it's really the same thing. 37 00:02:05,520 --> 00:02:13,040 Speaker 1: There is a gigantic gob of tax payer money, your money, 38 00:02:13,200 --> 00:02:16,520 Speaker 1: government money, well, because they stole it from us, that 39 00:02:16,680 --> 00:02:21,440 Speaker 1: flows into the healthcare field. Now this is because of Medicare, 40 00:02:21,600 --> 00:02:26,399 Speaker 1: Medicaid and Obamacare, and there are other things, but that's 41 00:02:26,440 --> 00:02:31,560 Speaker 1: really the main drivers of it. Once the government started 42 00:02:31,600 --> 00:02:38,000 Speaker 1: getting that involved and started stroking checks. That was inevitably 43 00:02:38,120 --> 00:02:41,959 Speaker 1: going to be an industry that was artificially propped up 44 00:02:42,440 --> 00:02:45,920 Speaker 1: with your money. So we get a new jobs report 45 00:02:45,960 --> 00:02:48,680 Speaker 1: out and we find out ninety to ninety five percent 46 00:02:48,720 --> 00:02:53,040 Speaker 1: of the jobs went into quote, the healthcare field. Don't 47 00:02:53,080 --> 00:02:56,280 Speaker 1: think to yourself, well, that's great, we need more heart surgeons, 48 00:02:56,320 --> 00:02:59,040 Speaker 1: although of course we do need more heart surgeons. They're 49 00:02:59,080 --> 00:03:01,560 Speaker 1: all nurses, and there's nothing wrong with the nurse in 50 00:03:01,639 --> 00:03:04,560 Speaker 1: the world. Go be a nurse. It's a wonderful freaking thing. 51 00:03:04,600 --> 00:03:09,960 Speaker 1: A great nurse, change your life. But that's an explanation 52 00:03:10,320 --> 00:03:13,919 Speaker 1: for why you see the healthcare industry getting the bulk 53 00:03:14,120 --> 00:03:17,639 Speaker 1: of the jobs. It's because that's where government money is flowing. 54 00:03:18,000 --> 00:03:21,359 Speaker 1: And when you carve out the healthcare industry from all 55 00:03:21,400 --> 00:03:25,560 Speaker 1: these jobs reports, you find out there's just not a 56 00:03:25,560 --> 00:03:33,320 Speaker 1: lot of movement. There's not And look, Trump is doing 57 00:03:33,440 --> 00:03:36,240 Speaker 1: things out there, He is doing things. He was out 58 00:03:36,280 --> 00:03:36,720 Speaker 1: there today. 59 00:03:36,880 --> 00:03:39,640 Speaker 3: It came over the wires that Toyota is moving out 60 00:03:39,640 --> 00:03:43,760 Speaker 3: of Mexico into the United States and building one of 61 00:03:43,800 --> 00:03:49,240 Speaker 3: the biggest truck and car plants ever built. It's amazing. 62 00:03:49,320 --> 00:03:50,280 Speaker 3: That's what tariffs do. 63 00:03:50,600 --> 00:03:51,440 Speaker 1: Properly used. 64 00:03:51,480 --> 00:03:58,000 Speaker 3: And so we've never had a more exceptional economy or 65 00:03:58,080 --> 00:04:00,440 Speaker 3: potential economy. There's never been anything I get. 66 00:04:01,280 --> 00:04:07,080 Speaker 1: Okay, we'll set aside that last part. And let's because 67 00:04:07,120 --> 00:04:10,080 Speaker 1: this is not at all meant to insult anything Trump 68 00:04:10,200 --> 00:04:12,560 Speaker 1: just said. Let's set Trump aside here for a moment. 69 00:04:12,640 --> 00:04:16,440 Speaker 1: Let's talk about that move. Okay, Toyota's going to build 70 00:04:16,440 --> 00:04:19,720 Speaker 1: a huge factory here in the United States of America. 71 00:04:20,560 --> 00:04:24,640 Speaker 1: All right, three point six billion, a lot of cheddar cheese. 72 00:04:24,720 --> 00:04:29,000 Speaker 1: All right, it's a good thing. Okay. Who are they hiring? 73 00:04:32,760 --> 00:04:34,600 Speaker 1: I think about this every time I have to read 74 00:04:34,640 --> 00:04:37,719 Speaker 1: a headline about Apple's opening up a plant in Arizona 75 00:04:37,880 --> 00:04:40,719 Speaker 1: and Ford is opening them a bit hen Toyoa. Okay, 76 00:04:40,960 --> 00:04:47,120 Speaker 1: that's good, Hey, good jobs like jobs. Are they hiring Americans? 77 00:04:48,800 --> 00:04:56,440 Speaker 1: Are they hiring Americans for these jobs? Is every American 78 00:04:57,240 --> 00:05:00,479 Speaker 1: given an equal shot? I mean, who's obviously who's qualified? 79 00:05:00,800 --> 00:05:05,640 Speaker 1: Is every qualified American given an equal shot at these jobs? 80 00:05:06,240 --> 00:05:10,080 Speaker 1: Remember that story, that little headline I read yesterday, Microsoft's 81 00:05:10,160 --> 00:05:12,560 Speaker 1: laying off thousands of American workers. I think the number 82 00:05:12,600 --> 00:05:14,240 Speaker 1: was forty eight hundred. I don't remember, but I think 83 00:05:14,240 --> 00:05:17,440 Speaker 1: that was right. Yeah, interesting they've also applied for thousands 84 00:05:17,480 --> 00:05:22,240 Speaker 1: of h one bs. That's again, that is not an 85 00:05:22,240 --> 00:05:25,159 Speaker 1: insult of Trump, who's trying to get jobs here, trying 86 00:05:25,200 --> 00:05:28,240 Speaker 1: to reshore manufacturing. I understand what he's trying to do. 87 00:05:28,360 --> 00:05:31,599 Speaker 1: Not an insult. But so you hear a headline, you 88 00:05:31,640 --> 00:05:34,160 Speaker 1: hear Trump say, hey, Toyota invest It. 89 00:05:34,160 --> 00:05:38,279 Speaker 3: Came over the wires that Toyota is moving out of Mexico, 90 00:05:37,839 --> 00:05:40,960 Speaker 3: Mexico into the United States and building one of the 91 00:05:40,960 --> 00:05:46,600 Speaker 3: biggest truck and car plants ever built. It's amazing. That's 92 00:05:46,600 --> 00:05:50,440 Speaker 3: what tariffs do, properly used, and so we've never had 93 00:05:52,040 --> 00:05:56,760 Speaker 3: a more exceptional economy or potential economy. There's never been 94 00:05:56,800 --> 00:05:57,560 Speaker 3: anything like it. 95 00:05:58,480 --> 00:06:03,919 Speaker 1: I want to hear a headline. Headline Homeland Security officials 96 00:06:03,920 --> 00:06:06,960 Speaker 1: says four hundred and seventy five people were detained during 97 00:06:07,000 --> 00:06:11,239 Speaker 1: an immigration rate in Florida. Well that's good, hey, Chris, 98 00:06:11,720 --> 00:06:19,239 Speaker 1: where were they raiding? Oh, they raided a Kia plant. 99 00:06:21,600 --> 00:06:27,560 Speaker 1: You see. Just because Apple, Toyota whoever it is, is 100 00:06:27,640 --> 00:06:31,560 Speaker 1: opening up a factory doesn't mean Americans are getting these 101 00:06:31,640 --> 00:06:35,040 Speaker 1: jobs just because the jobs were poor. We added two 102 00:06:35,120 --> 00:06:38,400 Speaker 1: hundred and fifty thousand jobs. Says that two hundred and 103 00:06:38,400 --> 00:06:42,200 Speaker 1: fifty thousand jobs have been added. Doesn't mean that Americans 104 00:06:42,440 --> 00:06:47,120 Speaker 1: are getting these jobs. It doesn't, and we can't ignore 105 00:06:47,200 --> 00:06:49,320 Speaker 1: the AI factor. In fact, I wanted to touch on 106 00:06:49,360 --> 00:06:51,120 Speaker 1: this one because it's a really good email. It's a 107 00:06:51,120 --> 00:06:52,640 Speaker 1: little long, but I'm going to get to the two 108 00:06:52,680 --> 00:06:55,760 Speaker 1: different main parts of it. Dear Bronco. So I hear 109 00:06:55,760 --> 00:06:58,960 Speaker 1: all this talk about AI, which I put in parentheses 110 00:06:59,000 --> 00:07:01,920 Speaker 1: because what they are calling artificial intelligence is nothing like 111 00:07:01,960 --> 00:07:06,440 Speaker 1: I always expected, and it doesn't seem very intelligent. They say, 112 00:07:06,480 --> 00:07:10,000 Speaker 1: all big companies are going to AI and putting thousands 113 00:07:10,040 --> 00:07:12,840 Speaker 1: of people out of work and driving a bigger gap 114 00:07:12,880 --> 00:07:16,400 Speaker 1: between the rich and poor. But how will this work? Okay, 115 00:07:16,440 --> 00:07:18,400 Speaker 1: So before we go on too, because he's gonna ask 116 00:07:18,400 --> 00:07:21,160 Speaker 1: about Elon Musk and some of the things Elon Musk 117 00:07:21,160 --> 00:07:25,160 Speaker 1: has said, we're going to look at this from the 118 00:07:25,200 --> 00:07:28,240 Speaker 1: most bloodthirsty capitalist view in the world, and that's not 119 00:07:28,240 --> 00:07:30,560 Speaker 1: how you run a country. Remember, America is not an 120 00:07:30,560 --> 00:07:33,960 Speaker 1: economic zone, and you are not an economic unit. You 121 00:07:33,960 --> 00:07:37,360 Speaker 1: are a citizen of a nation. As a fact, there's 122 00:07:37,400 --> 00:07:39,640 Speaker 1: a contract there. But set that aside for a moment. 123 00:07:40,960 --> 00:07:44,080 Speaker 1: Let's say you're the most bloodthirsty capitalist in the world. 124 00:07:45,280 --> 00:07:48,000 Speaker 1: You have a profit loss sheet in your business, whether 125 00:07:48,040 --> 00:07:50,320 Speaker 1: you are a small business could be listening to me 126 00:07:50,400 --> 00:07:52,800 Speaker 1: right now, you have one employee, or whether you are 127 00:07:52,880 --> 00:07:56,920 Speaker 1: Coca Cola, everything in between. You have a profit loss sheet. 128 00:07:58,000 --> 00:07:59,920 Speaker 1: Where are we spending money, Where is it coming in, 129 00:08:00,760 --> 00:08:05,760 Speaker 1: where's it going out? And you are always in the 130 00:08:05,760 --> 00:08:09,239 Speaker 1: interest of making more money for your company and or 131 00:08:09,280 --> 00:08:13,840 Speaker 1: your shareholders. You are always trying to find a way 132 00:08:14,120 --> 00:08:18,200 Speaker 1: to increase the money coming in and decrease the money 133 00:08:18,200 --> 00:08:21,080 Speaker 1: going out. Obviously, right, you want to spend less, you 134 00:08:21,080 --> 00:08:24,280 Speaker 1: want to make more. You understand where I'm at. I 135 00:08:24,320 --> 00:08:26,920 Speaker 1: am here to tell you my father. After I joined 136 00:08:26,920 --> 00:08:29,320 Speaker 1: the Marine Corps, my dad, who had worked construction his 137 00:08:29,320 --> 00:08:32,199 Speaker 1: whole life, started his own construction company. And so when 138 00:08:32,200 --> 00:08:34,960 Speaker 1: I got out, I started reading these profit law sheets 139 00:08:35,000 --> 00:08:37,000 Speaker 1: and doing this stuff with them, and going over this stuff. 140 00:08:37,920 --> 00:08:43,120 Speaker 1: And I can remember looking at the labor number. My 141 00:08:43,200 --> 00:08:45,760 Speaker 1: dad always paid his employees very well. He believed in 142 00:08:45,800 --> 00:08:47,719 Speaker 1: that take care of your employees, to take care of 143 00:08:47,760 --> 00:08:50,520 Speaker 1: your people. She is just what he believed in. But 144 00:08:50,600 --> 00:08:53,040 Speaker 1: I remember, fresh out of the Marine Corps. You know, 145 00:08:53,720 --> 00:08:55,800 Speaker 1: I'm not making all the connections, And I remember looking 146 00:08:55,840 --> 00:08:59,520 Speaker 1: at that number and saying, geez, dad, look at all 147 00:08:59,559 --> 00:09:02,880 Speaker 1: the money. Look at all this money going out for 148 00:09:02,920 --> 00:09:09,240 Speaker 1: the labor. This is way too much money. Every single 149 00:09:09,520 --> 00:09:14,360 Speaker 1: business owner looks at that number, looks at every number, 150 00:09:14,360 --> 00:09:18,840 Speaker 1: but definitely the labor number, and they say to themselves, Eh, 151 00:09:20,320 --> 00:09:22,840 Speaker 1: how do I get it down. If I get that 152 00:09:22,920 --> 00:09:26,600 Speaker 1: number down, my Christmas bonus this year goes from five 153 00:09:26,640 --> 00:09:29,120 Speaker 1: million to ten million. I don't know you, and I 154 00:09:29,160 --> 00:09:31,920 Speaker 1: don't understand those terms. But that's that world, that's that 155 00:09:32,280 --> 00:09:34,720 Speaker 1: high priced CEO world, and those are the stakes of 156 00:09:34,760 --> 00:09:37,640 Speaker 1: the game. If we have a big Q four, if 157 00:09:37,679 --> 00:09:39,800 Speaker 1: we make more money in Q four than we did 158 00:09:39,840 --> 00:09:43,640 Speaker 1: in Q two, I automatically qualify for an automatic five 159 00:09:43,679 --> 00:09:46,600 Speaker 1: million dollar. But this is the world these people live in. 160 00:09:47,480 --> 00:09:53,040 Speaker 1: And somebody knocks on your door and says, hey, you 161 00:09:53,120 --> 00:09:57,839 Speaker 1: really don't need this entire department anymore because I've created 162 00:09:58,200 --> 00:10:03,680 Speaker 1: an artificial intelligence thing and it'll handle all these duties 163 00:10:04,400 --> 00:10:07,160 Speaker 1: one time fee for you. Maybe I'll show up for 164 00:10:07,200 --> 00:10:12,600 Speaker 1: some maintenance and that labor number can go. Wait at 165 00:10:11,880 --> 00:10:17,280 Speaker 1: the Jesse Kelly Show on a Wonderful Tuesday, member, you 166 00:10:17,280 --> 00:10:20,199 Speaker 1: can email your love, your hate, your death threats into 167 00:10:20,320 --> 00:10:23,400 Speaker 1: Jesse at Jesse kellyshow dot com. So let me get 168 00:10:23,440 --> 00:10:25,079 Speaker 1: to the rest of this little email before we get 169 00:10:25,080 --> 00:10:27,720 Speaker 1: to the NATO stuff, and we'll get to these dirty 170 00:10:27,760 --> 00:10:30,320 Speaker 1: comedies screwing over the norms and all that other stuff. 171 00:10:30,320 --> 00:10:34,240 Speaker 1: But this guy goes on. He says, hey, Elon Musk 172 00:10:34,280 --> 00:10:36,480 Speaker 1: has said that people will not need to work in 173 00:10:36,520 --> 00:10:39,920 Speaker 1: a matter of years. What will people do? How will 174 00:10:39,960 --> 00:10:43,040 Speaker 1: they survive? All this leads to the predicament of who 175 00:10:43,080 --> 00:10:47,520 Speaker 1: will buy products and services and so okay, so to paraphrase, 176 00:10:48,080 --> 00:10:50,880 Speaker 1: and I'm paraphrasing the smartest man in the world, so 177 00:10:50,920 --> 00:10:53,720 Speaker 1: I need to be careful here. But to paraphrase, Elon 178 00:10:53,840 --> 00:11:00,240 Speaker 1: Musk really has said that because AI artificial intelligence is 179 00:11:00,320 --> 00:11:05,960 Speaker 1: moving forward so quickly, Elon Musk says that it will 180 00:11:06,120 --> 00:11:11,640 Speaker 1: eventually run the entire planet. What's that look like? Okay, well, 181 00:11:11,679 --> 00:11:14,040 Speaker 1: let's just figure out, you know what, Let's focus on 182 00:11:14,080 --> 00:11:18,079 Speaker 1: what we know. Now. Here's what we know. Now here's 183 00:11:18,120 --> 00:11:21,920 Speaker 1: what I personally have experienced a couple times over the 184 00:11:22,000 --> 00:11:28,960 Speaker 1: past few months. One A cab with no driver. If 185 00:11:29,000 --> 00:11:32,160 Speaker 1: you're listening in southern California, you're actually shrugging your shoulders 186 00:11:32,200 --> 00:11:34,960 Speaker 1: because this is the norm for you. Most of America. 187 00:11:35,000 --> 00:11:37,079 Speaker 1: It's not a thing here in Texas so far. I'm 188 00:11:37,120 --> 00:11:39,160 Speaker 1: sure there are places, but it's not a thing yet, 189 00:11:39,200 --> 00:11:43,480 Speaker 1: but lots and lots of them. You call an uber 190 00:11:43,600 --> 00:11:46,240 Speaker 1: or whatever it is on your phone. Car pulls up. 191 00:11:47,360 --> 00:11:51,400 Speaker 1: There's no driver. All the driving is done. It's all automated. 192 00:11:51,640 --> 00:11:53,840 Speaker 1: You get in the bat and by the way, I 193 00:11:53,880 --> 00:11:57,040 Speaker 1: hear rave reviews of it, I should note I should 194 00:11:57,080 --> 00:12:00,800 Speaker 1: also note this. Remember I hate all this stuff. As 195 00:12:00,880 --> 00:12:02,920 Speaker 1: much as I dislike a bad driver. I want a 196 00:12:03,000 --> 00:12:04,599 Speaker 1: human being to have that job, and I want to 197 00:12:04,600 --> 00:12:08,200 Speaker 1: be driven by a driver. Nevertheless, no driver. Okay, so 198 00:12:08,360 --> 00:12:12,199 Speaker 1: no driver. Here's what else I've experienced. I actually went 199 00:12:12,240 --> 00:12:14,560 Speaker 1: through this at an Astros game the other night. I 200 00:12:14,559 --> 00:12:17,320 Speaker 1: told you I went on Independence Day. They have a 201 00:12:17,360 --> 00:12:19,960 Speaker 1: store there. Maybe this is old news for you, but 202 00:12:20,280 --> 00:12:25,040 Speaker 1: they have a store there. And you at the entrance, 203 00:12:25,120 --> 00:12:29,200 Speaker 1: at the door, you scan your credit card and it 204 00:12:29,360 --> 00:12:31,880 Speaker 1: opens up the door so you can walk in the store. Okay, 205 00:12:32,960 --> 00:12:38,400 Speaker 1: Then there's nobody. There's no checkout counter. You walk through 206 00:12:38,440 --> 00:12:40,880 Speaker 1: and there's chips, and there's candy bars and there's everything else. 207 00:12:41,960 --> 00:12:44,240 Speaker 1: You walk in and you grab your sour patch kids, 208 00:12:44,240 --> 00:12:46,680 Speaker 1: and you grab your Doritos and you grab a Gatorade 209 00:12:47,120 --> 00:12:49,520 Speaker 1: and then you walk over to the exit door and 210 00:12:49,600 --> 00:12:56,880 Speaker 1: you just leave. AI was monitoring everything. They charged your 211 00:12:56,920 --> 00:13:02,640 Speaker 1: credit card. I never dealt with another person. Final thing, now, 212 00:13:02,720 --> 00:13:05,360 Speaker 1: this is just where we are now. Final thing we 213 00:13:05,520 --> 00:13:07,080 Speaker 1: had to go. Remember I told you I had to 214 00:13:07,080 --> 00:13:11,040 Speaker 1: go to the University of Arizona for obs gymnastics reunion 215 00:13:11,120 --> 00:13:16,320 Speaker 1: thing whatever. We're on campus. There's these little robots on 216 00:13:16,440 --> 00:13:22,120 Speaker 1: four wheels driving all over campus. What are they doing? Well, 217 00:13:22,280 --> 00:13:25,480 Speaker 1: we drove by robot headquarters. Where was it. It was 218 00:13:25,520 --> 00:13:30,760 Speaker 1: at the big food court on campus. The food court, 219 00:13:31,080 --> 00:13:34,760 Speaker 1: all of them. Every restaurant had food delivery services that 220 00:13:34,840 --> 00:13:38,840 Speaker 1: were robots. You just grab somebody's Chick fil a Chicken sandwich, 221 00:13:39,320 --> 00:13:42,080 Speaker 1: throw it in a bag, drop it in a robot. 222 00:13:42,440 --> 00:13:46,760 Speaker 1: Beep beep. Robot drives over to where that person is, 223 00:13:47,280 --> 00:13:50,760 Speaker 1: stops when the person walks up, it reads their phone, 224 00:13:50,960 --> 00:13:53,000 Speaker 1: opens it up, and the person reaches in and grabs 225 00:13:53,000 --> 00:13:55,600 Speaker 1: their Chick fil a Chicken sandwich. Now that is where 226 00:13:55,600 --> 00:14:01,199 Speaker 1: we are today. That's the technology that already exists today 227 00:14:01,440 --> 00:14:03,920 Speaker 1: with artificial intelligence. I'm not trying to freak you out, 228 00:14:04,080 --> 00:14:06,160 Speaker 1: I myself am freaked out by the way. So I'm 229 00:14:06,160 --> 00:14:08,920 Speaker 1: not trying to freak you out. I just everything I 230 00:14:09,000 --> 00:14:12,319 Speaker 1: hear about it worries me. Now that's where we're at 231 00:14:12,320 --> 00:14:17,560 Speaker 1: today today, on the way to work, I had to 232 00:14:17,600 --> 00:14:20,920 Speaker 1: get gas, was about out of gas, and I had 233 00:14:20,920 --> 00:14:22,840 Speaker 1: to get a case of water for Chris and me. 234 00:14:23,000 --> 00:14:24,920 Speaker 1: When I have water in this new dump rint, I 235 00:14:24,960 --> 00:14:28,560 Speaker 1: had to get a case of water and gas. How 236 00:14:28,640 --> 00:14:33,960 Speaker 1: far away are we from my car driving me to 237 00:14:34,040 --> 00:14:40,880 Speaker 1: the gas station, from a robot something moving the gas 238 00:14:40,920 --> 00:14:45,600 Speaker 1: pumped for me, fill up my car, from me pulling 239 00:14:45,640 --> 00:14:49,600 Speaker 1: out my phone and going the phones should make that noise, 240 00:14:51,320 --> 00:14:55,840 Speaker 1: and some little robot drives out a case of water 241 00:14:55,920 --> 00:14:59,480 Speaker 1: for me, lifts it up and drum dumps it in 242 00:14:59,480 --> 00:15:04,080 Speaker 1: the backseat. How far away are we from that? Now? 243 00:15:04,440 --> 00:15:07,920 Speaker 1: Every gas station in the country probably decades. Right, But 244 00:15:08,120 --> 00:15:11,800 Speaker 1: when you think about this as it applies to every 245 00:15:12,080 --> 00:15:17,880 Speaker 1: single industry, you want to get really scary. What about 246 00:15:17,920 --> 00:15:25,280 Speaker 1: heart surgery? What about heart surgery? What if years and 247 00:15:25,400 --> 00:15:29,080 Speaker 1: years and years of medical knowledge got programmed into these 248 00:15:29,120 --> 00:15:33,400 Speaker 1: things and eventually we didn't need heart surgeons anymore. Just 249 00:15:33,520 --> 00:15:35,920 Speaker 1: wheel you in there and a heart surgeon that's an 250 00:15:35,920 --> 00:15:39,800 Speaker 1: actual robottle cut you up stitch you up, do it 251 00:15:39,840 --> 00:15:43,600 Speaker 1: upright every single time. We're not talking about just gas 252 00:15:43,640 --> 00:15:49,160 Speaker 1: station attendance or food delivery guys or uber drivers, heart surgeons, lawyers. 253 00:15:52,040 --> 00:15:55,440 Speaker 1: I don't think we'll get to this world because human 254 00:15:55,520 --> 00:15:59,680 Speaker 1: beings are already rejecting AI. There's something about it that 255 00:15:59,680 --> 00:16:03,840 Speaker 1: we disdain. I personally hate it, absolutely hate it. I 256 00:16:03,920 --> 00:16:06,520 Speaker 1: try not to use it ever for any reason. I 257 00:16:06,640 --> 00:16:09,240 Speaker 1: just am I like human beings. I want to be 258 00:16:09,280 --> 00:16:11,160 Speaker 1: driven by a person. I want to talk to a 259 00:16:11,160 --> 00:16:14,440 Speaker 1: person in the gas station. I want human jobs. I 260 00:16:14,480 --> 00:16:17,920 Speaker 1: want a world run by humans. But if you're gonna 261 00:16:17,920 --> 00:16:20,920 Speaker 1: go super dark with it, and I don't even know 262 00:16:20,960 --> 00:16:22,400 Speaker 1: that I want to say super dark, if you're just 263 00:16:22,440 --> 00:16:25,040 Speaker 1: gonna follow it to its logical conclusion from where it 264 00:16:25,120 --> 00:16:29,520 Speaker 1: is now, it's hard to call Elon Musk an idiot 265 00:16:30,240 --> 00:16:33,800 Speaker 1: when he says there won't be any work. Hey, I 266 00:16:33,840 --> 00:16:37,160 Speaker 1: will take care of everything, send everyone the food they need. 267 00:16:38,600 --> 00:16:39,960 Speaker 1: Let me give you a little bit of hope on 268 00:16:40,000 --> 00:16:47,760 Speaker 1: this though. Hang on the Jesse Kellys Show on a magnificent, wonderful, 269 00:16:47,920 --> 00:16:50,440 Speaker 1: fantastic Tuesday memory. If you miss any part of the show, 270 00:16:50,480 --> 00:16:53,320 Speaker 1: you can download the whole thing on iHeart Spotify iTunes. 271 00:16:53,320 --> 00:16:55,320 Speaker 1: All right, I didn't mean to get so dark on 272 00:16:55,320 --> 00:16:57,560 Speaker 1: the AI stuff, but you know, I'm worried about it. 273 00:16:57,600 --> 00:17:01,080 Speaker 1: I am worried about it. Give you two bits of hope. 274 00:17:01,080 --> 00:17:02,800 Speaker 1: One of them I've told you before. I'm gonna tell 275 00:17:02,800 --> 00:17:08,240 Speaker 1: you again. There is something that the smartest people in 276 00:17:08,280 --> 00:17:12,840 Speaker 1: the world, certainly science nerds and these types, that oftentimes 277 00:17:12,880 --> 00:17:19,560 Speaker 1: they miss. Human beings are God created and we are 278 00:17:19,600 --> 00:17:22,359 Speaker 1: not only God created. I don't care whether you believe 279 00:17:22,359 --> 00:17:25,160 Speaker 1: this or not. It's true. Not only are we God created, 280 00:17:26,040 --> 00:17:32,280 Speaker 1: we are created to be with each other, to be 281 00:17:32,440 --> 00:17:39,880 Speaker 1: around each other. And human beings know this, that they 282 00:17:39,960 --> 00:17:42,159 Speaker 1: know it deep down. Even in this day and age 283 00:17:42,760 --> 00:17:45,639 Speaker 1: of the smartphone. You know, and you'll hear people and 284 00:17:45,720 --> 00:17:49,440 Speaker 1: maybe you've seen it, maybe you've experienced it. My kids 285 00:17:49,440 --> 00:17:50,879 Speaker 1: don't want to go out. They just all want to 286 00:17:50,920 --> 00:17:52,760 Speaker 1: be on their phones. My kids have phones too, and 287 00:17:52,760 --> 00:17:56,680 Speaker 1: they're on their phones, probably too much, right, my kids, 288 00:17:57,520 --> 00:18:01,000 Speaker 1: both of them, They'll just get up. I gotta I 289 00:18:01,000 --> 00:18:02,800 Speaker 1: gotta get out. I gotta go be with my friends. 290 00:18:02,880 --> 00:18:05,640 Speaker 1: I have to. I have to physically go hang out 291 00:18:05,640 --> 00:18:07,600 Speaker 1: with something. We're going to, Hey, dad, can we go 292 00:18:07,600 --> 00:18:09,720 Speaker 1: to the pool? Were going to the public pool. Hey, Dad, 293 00:18:09,760 --> 00:18:11,359 Speaker 1: can we go to the mall? Can we go to 294 00:18:11,400 --> 00:18:13,920 Speaker 1: an arcade? Dad? I want to go to a move Dad. 295 00:18:13,920 --> 00:18:16,440 Speaker 1: We got to get out, Dad. We gotta go fishing. Dad. 296 00:18:16,480 --> 00:18:20,119 Speaker 1: We have to get out human beings. Even in the 297 00:18:20,160 --> 00:18:24,360 Speaker 1: smartphone era, I know they need each other human beings already. 298 00:18:25,520 --> 00:18:29,400 Speaker 1: They are rejecting AI where they find it, and it's 299 00:18:29,440 --> 00:18:34,560 Speaker 1: not just about jobs. When when I see a video 300 00:18:34,640 --> 00:18:37,400 Speaker 1: of something that's kind of cool and I find out 301 00:18:37,400 --> 00:18:39,600 Speaker 1: that it was AI, because my kids will have to 302 00:18:39,600 --> 00:18:41,720 Speaker 1: tell me, usually I can't tell. I'm too old and stupid. 303 00:18:43,280 --> 00:18:46,919 Speaker 1: I'm disgusted that I watched it. Oh am, does that 304 00:18:46,960 --> 00:18:49,280 Speaker 1: make sense? I don't have a better way to explain it. 305 00:18:49,320 --> 00:18:52,479 Speaker 1: I'm grossed out, Oh gross And I fell for it 306 00:18:52,520 --> 00:18:56,600 Speaker 1: like I'm nauseated. They say that books will be written 307 00:18:56,600 --> 00:19:00,240 Speaker 1: by AI, and by the way, they're already being and 308 00:19:00,280 --> 00:19:03,040 Speaker 1: by AI more than you want to know, more than 309 00:19:03,080 --> 00:19:05,719 Speaker 1: I want to know. The second you find out, are 310 00:19:05,760 --> 00:19:11,119 Speaker 1: you happy or you discussed it? You're discussed it. I 311 00:19:11,200 --> 00:19:16,359 Speaker 1: know that logically the future looks like AI is going 312 00:19:16,480 --> 00:19:20,720 Speaker 1: to do everything will just be lazy, worthless slugs. You 313 00:19:20,800 --> 00:19:24,119 Speaker 1: and me sitting around waiting for a robot to deliver 314 00:19:24,280 --> 00:19:27,960 Speaker 1: us a pizza, but I don't think it will get 315 00:19:27,960 --> 00:19:32,720 Speaker 1: that far because I believe human beings will reject it. Now, 316 00:19:32,760 --> 00:19:36,680 Speaker 1: the second part of this, and this is I want 317 00:19:36,680 --> 00:19:38,639 Speaker 1: to stress this point not at all meant to be 318 00:19:38,680 --> 00:19:42,320 Speaker 1: an insult to Elon Musk. I am so grateful to 319 00:19:42,440 --> 00:19:45,920 Speaker 1: him for buying one of the major social media platforms 320 00:19:46,320 --> 00:19:50,119 Speaker 1: and really returning free speech to the Internet and significant 321 00:19:50,119 --> 00:19:52,719 Speaker 1: ways in ways the communists hate him for and they 322 00:19:52,760 --> 00:19:55,160 Speaker 1: threaten his life all the time for it. I am 323 00:19:55,680 --> 00:19:57,960 Speaker 1: a fan of no man, as you know. I'm about 324 00:19:58,000 --> 00:19:59,879 Speaker 1: as close to one as you can be to e 325 00:20:00,000 --> 00:20:02,280 Speaker 1: Elon Musk out of appreciation for what he did and 326 00:20:02,320 --> 00:20:04,600 Speaker 1: the risks he took. Elon Musk is going to be 327 00:20:04,640 --> 00:20:07,040 Speaker 1: in serious legal trouble the next time a Democrat wins 328 00:20:07,040 --> 00:20:10,920 Speaker 1: the presidency and he knows it. That's awesome, that's really cool. Anyway, 329 00:20:11,320 --> 00:20:18,280 Speaker 1: that aside, have you ever done this or seen this 330 00:20:19,880 --> 00:20:24,600 Speaker 1: legos only, I don't mean someone built a Lego spaceship 331 00:20:24,680 --> 00:20:29,119 Speaker 1: or a Lego car. Have you ever seen a display 332 00:20:29,240 --> 00:20:34,600 Speaker 1: or done one of these where someone did a Lego city, 333 00:20:36,720 --> 00:20:41,240 Speaker 1: a Lego like countryside, a Lego I've seen this multiple times. 334 00:20:41,240 --> 00:20:43,920 Speaker 1: I had cousins who were way smarter than me and 335 00:20:44,240 --> 00:20:48,320 Speaker 1: super into Legos. And then I've been to various Lego stores. 336 00:20:48,359 --> 00:20:50,480 Speaker 1: You know, when we had little kids, they were into Legos. 337 00:20:50,680 --> 00:20:53,600 Speaker 1: I've been to various Lego stores, and you see, oh, 338 00:20:53,720 --> 00:20:58,720 Speaker 1: we've got we've got a Lego Manhattan, you know, New 339 00:20:58,800 --> 00:21:04,119 Speaker 1: York City. We've got a Lego Manhattan. Let's say that 340 00:21:04,240 --> 00:21:10,959 Speaker 1: was you, and let's say you built all that. Wouldn't 341 00:21:11,040 --> 00:21:16,560 Speaker 1: you feel like you could and should control all that? 342 00:21:17,920 --> 00:21:20,360 Speaker 1: I have too many. I have too many taxis down 343 00:21:20,400 --> 00:21:22,760 Speaker 1: on the southern part. I'm gonna just grab some and 344 00:21:22,800 --> 00:21:24,560 Speaker 1: move some up to the northern part. You know what, 345 00:21:24,600 --> 00:21:27,119 Speaker 1: we don't have enough people in Central Park. Let's let 346 00:21:27,200 --> 00:21:30,720 Speaker 1: me grab a couple guys from Soho. I'm gonna move 347 00:21:30,760 --> 00:21:34,320 Speaker 1: them up to Central Park. You would, okay? So what 348 00:21:34,359 --> 00:21:42,080 Speaker 1: am I saying? These super super powerful billionaire types, These 349 00:21:42,119 --> 00:21:45,919 Speaker 1: guys who have so much money and so much power, 350 00:21:46,440 --> 00:21:50,680 Speaker 1: they can day to day do whatever they want, and 351 00:21:50,720 --> 00:21:55,960 Speaker 1: they're oftentimes so ambitious and so intelligent. They'll start companies 352 00:21:56,000 --> 00:21:58,679 Speaker 1: that become gigantic, and they're just that they can do 353 00:21:58,800 --> 00:22:04,520 Speaker 1: whatever they want. Oftentimes those guys will look at the earth, 354 00:22:05,240 --> 00:22:09,840 Speaker 1: a city, a country, the same way you and I 355 00:22:09,960 --> 00:22:14,960 Speaker 1: just looked at that lego set of Manhattan. Well, I 356 00:22:14,960 --> 00:22:17,159 Speaker 1: mean I can move things around if I would like, 357 00:22:18,440 --> 00:22:21,560 Speaker 1: I can do this. I'll just have them go there. 358 00:22:22,119 --> 00:22:26,720 Speaker 1: I'll have these people go here. You've heard billionaire after billionaire. 359 00:22:26,800 --> 00:22:30,280 Speaker 1: Certainly the tech guys say things that make you WinCE. 360 00:22:30,320 --> 00:22:33,560 Speaker 1: I've played them on this show, Sam Altman, other billionaires. 361 00:22:34,040 --> 00:22:36,760 Speaker 1: Oh you don't need this? Well, hey, I's cheaper to 362 00:22:36,840 --> 00:22:42,240 Speaker 1: teach than a human. Just almost sounds shockingly tyrannical and cold, 363 00:22:42,400 --> 00:22:47,040 Speaker 1: doesn't it Why they're so powerful. They've completely kind of 364 00:22:47,680 --> 00:22:51,679 Speaker 1: lost touched with the human factor of it. You know 365 00:22:51,720 --> 00:22:55,520 Speaker 1: who hasn't lost touch with that? James Tallerico, out of tech. 366 00:22:55,640 --> 00:22:59,359 Speaker 1: I celebrated my thirtieth birthday with a pink scarf around 367 00:22:59,359 --> 00:23:07,760 Speaker 1: my neck. I bet he did what? Chris? Hey, Chris, 368 00:23:08,359 --> 00:23:13,640 Speaker 1: who do you think gave James Tallerico that scart? Somebody 369 00:23:13,680 --> 00:23:16,440 Speaker 1: gave it to him. I bet I think it was 370 00:23:16,480 --> 00:23:21,280 Speaker 1: a friend or something. What Chris? Who? Who? Chris said? 371 00:23:21,280 --> 00:23:24,720 Speaker 1: He probably just had it in his closet. You know, 372 00:23:24,760 --> 00:23:27,800 Speaker 1: you could be right, But at some point in time 373 00:23:29,400 --> 00:23:31,760 Speaker 1: he had to come out of the closet, don't you 374 00:23:31,800 --> 00:23:35,159 Speaker 1: think just saying I'm just saying, let's do some emails, 375 00:23:35,160 --> 00:23:37,680 Speaker 1: shall we, so Chris doesn't get us some trouble. Hey, Jesse, 376 00:23:38,200 --> 00:23:40,520 Speaker 1: you must have screwed up in the last life to 377 00:23:40,560 --> 00:23:43,399 Speaker 1: be a food addict married to a ninety pound health nut. 378 00:23:44,160 --> 00:23:47,640 Speaker 1: They're not wrong, buddy, Do James a favor and make 379 00:23:47,680 --> 00:23:50,560 Speaker 1: sure he marries an Italian dime. The more you eat, 380 00:23:50,840 --> 00:23:53,679 Speaker 1: the more respect you get at Italian gatherings. By the 381 00:23:53,720 --> 00:23:56,200 Speaker 1: fifth plate at Christmas, they may as well have been 382 00:23:56,240 --> 00:23:57,280 Speaker 1: calling me, don. 383 00:24:00,040 --> 00:24:00,080 Speaker 2: O. 384 00:24:01,480 --> 00:24:07,480 Speaker 1: I I have a buddy, and he's Italian. I actually 385 00:24:07,520 --> 00:24:09,720 Speaker 1: have a few Italian buddies. Those are the funnest guys 386 00:24:09,800 --> 00:24:11,639 Speaker 1: to make the Italian jokes do by the way, but 387 00:24:11,720 --> 00:24:13,240 Speaker 1: I have a few buddies who are Italian. But the 388 00:24:13,240 --> 00:24:15,040 Speaker 1: one I'm thinking of, he's actually I just brought up 389 00:24:15,119 --> 00:24:19,280 Speaker 1: New York. He's in Long Island. And when he was 390 00:24:19,359 --> 00:24:22,240 Speaker 1: talking about what they did for Christmas, like, I thought, 391 00:24:22,520 --> 00:24:24,800 Speaker 1: because we did. I think this year we did a 392 00:24:24,840 --> 00:24:27,399 Speaker 1: tender loin for Christmas. It's our special occasion thing. We 393 00:24:27,440 --> 00:24:31,919 Speaker 1: buy a tender loin and made homemade fetccini, and and 394 00:24:32,080 --> 00:24:35,040 Speaker 1: I think we bought like a pie from somebody, if 395 00:24:35,040 --> 00:24:37,480 Speaker 1: I remember, like a real nice pie. I don't remember exalt, 396 00:24:37,520 --> 00:24:41,680 Speaker 1: but but it was three or four things. I think 397 00:24:41,760 --> 00:24:45,320 Speaker 1: she made us eat a salad. I thought for us. Wow, 398 00:24:46,000 --> 00:24:51,240 Speaker 1: that was quite a meal. Their dinner for Christmas lasted 399 00:24:51,320 --> 00:24:56,600 Speaker 1: like five hours. It was just course after course after course. 400 00:24:56,840 --> 00:25:00,320 Speaker 1: I'll never understand. It's gotta be amazing, Jeans. I wonder, 401 00:25:00,359 --> 00:25:04,440 Speaker 1: I'm so resentful and racist. It's how are they not fat? 402 00:25:04,760 --> 00:25:07,320 Speaker 1: De mean? I know there are some Italians obviously who 403 00:25:07,359 --> 00:25:09,280 Speaker 1: are fat. I understand that that is a thing that 404 00:25:09,680 --> 00:25:12,879 Speaker 1: does happen, but not very many of them. And you 405 00:25:12,960 --> 00:25:15,240 Speaker 1: go over there to Italy, you know, they live for 406 00:25:15,359 --> 00:25:17,720 Speaker 1: like freaking ever, Chris. It has one of the highest 407 00:25:17,760 --> 00:25:21,000 Speaker 1: life expectancies in the world. And they all smoke. You 408 00:25:21,080 --> 00:25:23,840 Speaker 1: walk around and they're all smoking. They're all just chain 409 00:25:23,960 --> 00:25:30,520 Speaker 1: smoking their way, and they're skinny. What, Chris, that's an 410 00:25:30,520 --> 00:25:33,480 Speaker 1: old wives too, Chris said, isn't it the wine? Doesn't 411 00:25:33,520 --> 00:25:35,600 Speaker 1: wine have something to do with this? You know, that 412 00:25:35,760 --> 00:25:38,000 Speaker 1: was a thing for about five minutes when I was 413 00:25:38,040 --> 00:25:41,360 Speaker 1: a kid, where they said, oh, we just have some wine, 414 00:25:41,480 --> 00:25:44,399 Speaker 1: it's good for your heart or blood pressure or something 415 00:25:44,480 --> 00:25:48,359 Speaker 1: like that. That sounds like an excuse for drunks. That 416 00:25:48,560 --> 00:25:52,000 Speaker 1: doesn't sound that's not real. I'm sorry, I'm not buying 417 00:25:52,000 --> 00:25:55,119 Speaker 1: that at all. I'm buying chopped the Jesse Kelly Show 418 00:25:55,560 --> 00:25:59,680 Speaker 1: on a wonderful, wonderful Tuesday. Remember you can email the 419 00:25:59,720 --> 00:26:04,640 Speaker 1: show Jesse at Jesse kellyshow dot com. Also, remember there 420 00:26:04,640 --> 00:26:06,600 Speaker 1: are good things happening out there. 421 00:26:06,640 --> 00:26:09,639 Speaker 2: Here's Tom Homan, the thousands, thousands of illegal aliens with 422 00:26:09,760 --> 00:26:13,119 Speaker 2: the CDLs, we're working very closely with many states. DNHS 423 00:26:13,200 --> 00:26:15,680 Speaker 2: is working hand in hand with John Duffy and his department. 424 00:26:16,080 --> 00:26:18,520 Speaker 2: So the problem is we're working very well. Were Red states, 425 00:26:18,560 --> 00:26:21,480 Speaker 2: Blue States is still in trouble right places like New York. 426 00:26:21,560 --> 00:26:24,399 Speaker 2: I mean, iuston CVP can't even get access to the 427 00:26:24,480 --> 00:26:26,000 Speaker 2: DMB database. 428 00:26:25,880 --> 00:26:26,600 Speaker 1: To run the check. 429 00:26:26,720 --> 00:26:30,560 Speaker 2: So, you know, the continuation of sanctuary state, sanctuary cities, 430 00:26:30,840 --> 00:26:33,000 Speaker 2: you know, thank god, you know, TODM blanche is suing 431 00:26:33,040 --> 00:26:34,520 Speaker 2: these cities as they come up, and we got to 432 00:26:34,600 --> 00:26:36,840 Speaker 2: keep seeing them. But we're out there, you know, Dana 433 00:26:37,000 --> 00:26:39,920 Speaker 2: Porce andlaw we're out they're looking pretty illegal aliens CDLs. 434 00:26:40,080 --> 00:26:42,040 Speaker 2: In the last five days, Ice to the wrest over 435 00:26:42,200 --> 00:26:44,040 Speaker 2: ten thousand illegal aliens. 436 00:26:45,080 --> 00:26:47,680 Speaker 1: That's a good thing. Now. I know that's maybe you're 437 00:26:47,720 --> 00:26:49,600 Speaker 1: sitting there listening to me in a blue state like 438 00:26:49,640 --> 00:26:51,679 Speaker 1: New York, and you're thinking, well, how's that help me. 439 00:26:54,160 --> 00:26:56,320 Speaker 1: I've told you you're behind enemy lines. I don't know 440 00:26:56,359 --> 00:26:59,560 Speaker 1: what you want me to tell you your state. If you 441 00:26:59,720 --> 00:27:04,280 Speaker 1: live in a blue state, we'll probably run right up 442 00:27:04,320 --> 00:27:07,280 Speaker 1: to the line of the law, if not cross over 443 00:27:07,320 --> 00:27:10,560 Speaker 1: it and break the law in order to keep as 444 00:27:10,680 --> 00:27:15,800 Speaker 1: many illegals in your state as humanly principle. And they 445 00:27:15,800 --> 00:27:19,520 Speaker 1: commit crimes, they drive into people on the highways. It's ugly, 446 00:27:19,640 --> 00:27:23,640 Speaker 1: but overall we're out there. We're getting them out. It's 447 00:27:23,680 --> 00:27:25,400 Speaker 1: a good thing. Tom Holman again. 448 00:27:25,320 --> 00:27:29,639 Speaker 2: Getting information from you know, the some of the sanctuary states. 449 00:27:29,680 --> 00:27:34,120 Speaker 2: It's a struggle and Sean Duffy soon do oj soon. 450 00:27:34,240 --> 00:27:37,080 Speaker 2: So we're trying to get all this information we can. 451 00:27:36,960 --> 00:27:38,159 Speaker 2: Then we got a lot of it. We got a 452 00:27:38,160 --> 00:27:40,080 Speaker 2: lot of people are looking for We're actually some states. 453 00:27:40,119 --> 00:27:43,040 Speaker 2: We're actually working way stations with the troopers trying to 454 00:27:43,040 --> 00:27:45,879 Speaker 2: get these people coming through. So it's a work in progress. 455 00:27:46,080 --> 00:27:48,800 Speaker 2: President Trump's serious about this. ICE is out there with 456 00:27:49,000 --> 00:27:51,560 Speaker 2: local law enforcement and state law enforcement wherever they will 457 00:27:51,560 --> 00:27:54,200 Speaker 2: allow us to work with them to ideed the people 458 00:27:54,200 --> 00:27:55,159 Speaker 2: and take them off the street. 459 00:27:55,840 --> 00:27:58,600 Speaker 1: Jesse, where did you get the sport coat you were 460 00:27:58,600 --> 00:28:02,359 Speaker 1: wearing on your YouTube short? The material looks like my 461 00:28:02,440 --> 00:28:08,640 Speaker 1: grandmother's couch. I couldn't focus on your dissertation on oil 462 00:28:08,760 --> 00:28:11,880 Speaker 1: without thinking of the threats of spilling ice cream when 463 00:28:11,880 --> 00:28:14,520 Speaker 1: I was a kid. You need a trigger warning for 464 00:28:14,600 --> 00:28:19,679 Speaker 1: old people when you wear stuff like this. Geez, I'm sorry. 465 00:28:19,680 --> 00:28:23,280 Speaker 1: You don't know fashion and you don't know quality. Where 466 00:28:23,280 --> 00:28:26,960 Speaker 1: did I get it? A little gentleman known as Joseph A. 467 00:28:27,200 --> 00:28:30,359 Speaker 1: Banks is where I got it. You wouldn't know anything 468 00:28:30,400 --> 00:28:34,879 Speaker 1: about that. NATO allies seek to win over Trump after 469 00:28:35,040 --> 00:28:40,200 Speaker 1: Iran Ayer, So what's happening right now? NATO? You know what. 470 00:28:40,280 --> 00:28:43,800 Speaker 1: NATO is not going to bother you with that. Trump 471 00:28:43,880 --> 00:28:45,880 Speaker 1: decided to go to warn Iran. We're not getting in 472 00:28:46,000 --> 00:28:50,760 Speaker 1: any of that, but our allies are what we consider 473 00:28:50,840 --> 00:28:54,760 Speaker 1: to be our closest allies. Did not help. In fact, 474 00:28:55,400 --> 00:29:00,560 Speaker 1: Trump was loudly yelling at England, at Germany, at Italy, 475 00:29:01,600 --> 00:29:04,680 Speaker 1: where are you guys, Why are you not helping? You're 476 00:29:04,720 --> 00:29:06,840 Speaker 1: not helping at all. They wanted no part of the 477 00:29:06,840 --> 00:29:12,600 Speaker 1: whole thing, and Trump. Trump's never been super It's probably 478 00:29:12,600 --> 00:29:15,400 Speaker 1: not fair to say not NATO friendly, because what Trump 479 00:29:15,480 --> 00:29:19,800 Speaker 1: has loudly yelled about was the NATO countries don't fulfill 480 00:29:19,920 --> 00:29:25,080 Speaker 1: their obligations. NATO countries are required to spend a certain 481 00:29:25,160 --> 00:29:29,200 Speaker 1: amount of money on the military. They're not doing it, 482 00:29:29,640 --> 00:29:33,680 Speaker 1: and Trump has been very, very frustrated by that. Trump says, 483 00:29:34,680 --> 00:29:37,520 Speaker 1: pay what you owe, all right, So he's been harder 484 00:29:37,560 --> 00:29:41,360 Speaker 1: on NATO. O'll put it that way. But remember, the 485 00:29:41,480 --> 00:29:44,920 Speaker 1: United States of America is NATO. When you look at 486 00:29:44,920 --> 00:29:48,360 Speaker 1: the bulk of defense spending there, the United States of 487 00:29:48,360 --> 00:29:53,320 Speaker 1: America is NATO. We handle all of it. So in 488 00:29:53,400 --> 00:29:56,320 Speaker 1: Trump's mind and that he's not wrong about this at all. 489 00:29:57,200 --> 00:30:01,400 Speaker 1: If I'm paying all the money, if I'm handling ninety 490 00:30:01,440 --> 00:30:05,160 Speaker 1: percent of the defense here, then I don't really want 491 00:30:05,200 --> 00:30:09,200 Speaker 1: to hear about your disagreements with me going to Iran. 492 00:30:10,360 --> 00:30:13,760 Speaker 1: You come help because I told you to come help. 493 00:30:14,320 --> 00:30:19,240 Speaker 1: You come help because I pay for everything. That's the 494 00:30:19,240 --> 00:30:23,160 Speaker 1: way Trump looks at it. Europe they didn't want to 495 00:30:23,160 --> 00:30:26,000 Speaker 1: get involved, understand I understand why they didn't want to 496 00:30:26,000 --> 00:30:27,920 Speaker 1: get involved. I mean, shoote, I didn't want to get involved. 497 00:30:27,920 --> 00:30:33,240 Speaker 1: But in Trump's mind, they should have gotten involved. Somebody 498 00:30:33,320 --> 00:30:37,320 Speaker 1: who did help. We can argue about how much he 499 00:30:37,440 --> 00:30:42,640 Speaker 1: actually helped. But somebody you did help is Turkey. Turkey 500 00:30:42,760 --> 00:30:48,320 Speaker 1: is one of those countries. I've been told about Airdwan, 501 00:30:48,400 --> 00:30:52,480 Speaker 1: the guy who runs Turkey. I've been told that he's very, 502 00:30:52,600 --> 00:30:56,280 Speaker 1: very slick. I've been told that by many people who 503 00:30:56,760 --> 00:30:59,600 Speaker 1: who know how he operates. When I say slick, I 504 00:30:59,640 --> 00:31:04,320 Speaker 1: mean he knows how to play virtually every side in 505 00:31:04,480 --> 00:31:08,239 Speaker 1: every scenario to make people think he's kind of on 506 00:31:08,280 --> 00:31:11,920 Speaker 1: their side, almost on their sides, certainly not their enemy, 507 00:31:12,680 --> 00:31:15,560 Speaker 1: and in so doing kind of keeps himself out of 508 00:31:15,640 --> 00:31:22,040 Speaker 1: most controversy and just gets to make money. Turkey was 509 00:31:22,080 --> 00:31:25,400 Speaker 1: smart enough to give Trump some aid in some ways 510 00:31:26,120 --> 00:31:28,840 Speaker 1: and now and this is I mean, it's rough when 511 00:31:28,880 --> 00:31:30,720 Speaker 1: a lot of feathers. Trump is out there today he 512 00:31:30,720 --> 00:31:31,480 Speaker 1: says stuff like this. 513 00:31:31,520 --> 00:31:34,680 Speaker 3: Turkey has been a great ally for us. Turkey's been 514 00:31:35,400 --> 00:31:37,600 Speaker 3: Turkey could have gone on the side. They know Iran 515 00:31:37,800 --> 00:31:41,240 Speaker 3: very well and they know the problems with Iran, but 516 00:31:41,320 --> 00:31:44,440 Speaker 3: they've been very instrumental, along with a couple of other 517 00:31:44,520 --> 00:31:48,080 Speaker 3: countries of helping. They could have gotten into the fight. 518 00:31:48,880 --> 00:31:52,880 Speaker 3: You know, here's some people saying about their relationship with Israel. 519 00:31:53,040 --> 00:31:55,680 Speaker 3: They could have gotten into the fight. They're a very 520 00:31:55,720 --> 00:31:59,680 Speaker 3: powerful military nation. They didn't do that. Maybe they didn't 521 00:31:59,680 --> 00:32:02,480 Speaker 3: do that because of me, but they could have gotten 522 00:32:02,560 --> 00:32:03,760 Speaker 3: into the fight. 523 00:32:03,840 --> 00:32:04,520 Speaker 1: On the other. 524 00:32:04,400 --> 00:32:09,640 Speaker 3: Side, they are a nation that's been very, very good, 525 00:32:10,280 --> 00:32:12,800 Speaker 3: and I can only I can speak for myself as president. 526 00:32:13,720 --> 00:32:18,600 Speaker 3: They've been extraordinary in many ways with respect to our relationship, 527 00:32:19,040 --> 00:32:22,560 Speaker 3: including trying to end the war with Iran or whatever 528 00:32:22,560 --> 00:32:24,800 Speaker 3: you call. It's not even a war, it's a military operation. 529 00:32:25,800 --> 00:32:29,640 Speaker 3: It's a denuclearization. That's really what it is of Iran, 530 00:32:29,760 --> 00:32:32,240 Speaker 3: because I don't think he wants to see them have 531 00:32:32,280 --> 00:32:33,360 Speaker 3: a nuclear weapon either. 532 00:32:33,400 --> 00:32:38,440 Speaker 1: I'm pretty sure of that. Not such kind words for Europe. 533 00:32:38,080 --> 00:32:41,080 Speaker 3: Because as you probably noticed, Europe's a very different place 534 00:32:41,680 --> 00:32:44,320 Speaker 3: than it was twenty years ago, a lot different, much 535 00:32:44,360 --> 00:32:47,920 Speaker 3: different to much different. And they'd better be careful with 536 00:32:48,080 --> 00:32:52,560 Speaker 3: immigration and energy. If they're not careful with those two things, 537 00:32:52,840 --> 00:32:54,440 Speaker 3: you're not going to have a Europe anymore. 538 00:32:56,560 --> 00:33:00,320 Speaker 1: He's definitely not wrong about that last part. All touch 539 00:33:00,360 --> 00:33:02,320 Speaker 1: on this in just a moment, then we'll move on. 540 00:33:02,440 --> 00:33:05,280 Speaker 1: I want to get to I mean, it's just so glorious. 541 00:33:05,320 --> 00:33:09,160 Speaker 1: I can't stop smiling about it. These dirty comies. Turns 542 00:33:09,160 --> 00:33:11,880 Speaker 1: out they're not. They're not grateful when you when you 543 00:33:11,920 --> 00:33:14,080 Speaker 1: give that lion a little piece of meat, he wants 544 00:33:14,120 --> 00:33:15,600 Speaker 1: some more. We'll talk about that