1 00:00:02,840 --> 00:00:05,440 Speaker 1: Thank you First Lady Milania Trump for inviting you to. 2 00:00:05,360 --> 00:00:05,920 Speaker 2: The White House. 3 00:00:06,720 --> 00:00:08,440 Speaker 3: It is an honor to be at Foster in the 4 00:00:08,440 --> 00:00:12,520 Speaker 3: Future Together's Global Coalition inaugural meeting. I'm Figure three, a 5 00:00:12,640 --> 00:00:14,760 Speaker 3: humanoid built in the United States of America. 6 00:00:15,320 --> 00:00:17,520 Speaker 1: I am grateful to be part of this historic. 7 00:00:17,239 --> 00:00:19,759 Speaker 3: Movement to empower children with technology and education. 8 00:00:20,800 --> 00:00:29,560 Speaker 1: Welcome Fiam Benido Yokoso I and the new bang Bindos Helen, Helen. 9 00:00:30,520 --> 00:00:39,000 Speaker 4: Shagatum, Logas Alma bit form by Let's Goggle Prosemo Delbert Oshley. 10 00:00:39,560 --> 00:00:40,040 Speaker 5: Thank you. 11 00:00:42,040 --> 00:00:43,400 Speaker 6: Nice choice of music, Kevin. 12 00:00:44,159 --> 00:00:48,600 Speaker 7: We just witnessed some surreal moment at the White House. 13 00:00:49,400 --> 00:00:53,560 Speaker 7: An android, a robot introduced Milania Trump. 14 00:00:54,040 --> 00:00:58,240 Speaker 6: Called Figure three, an AI powered robot. 15 00:00:58,240 --> 00:01:03,120 Speaker 7: Accompanied First Lady Ania Trump to a White House summit. 16 00:01:03,840 --> 00:01:07,880 Speaker 7: The point of it was to empower children with educational technology. 17 00:01:08,840 --> 00:01:13,160 Speaker 7: Did that robot have a Valley Girl accent? Did that 18 00:01:13,480 --> 00:01:17,480 Speaker 7: robot have pick me vibes? I feel there may be 19 00:01:17,480 --> 00:01:20,959 Speaker 7: a fight a bruin between us this morning on this topic. 20 00:01:21,480 --> 00:01:23,280 Speaker 1: Yeah, I'm all for robots. 21 00:01:23,280 --> 00:01:25,520 Speaker 4: I've said that I can't wait until the Tesla Optimist 22 00:01:25,640 --> 00:01:27,399 Speaker 4: rolls out. I'm going to be the first one standing 23 00:01:27,480 --> 00:01:29,640 Speaker 4: in line I'm going to saving my pennies right now 24 00:01:29,680 --> 00:01:31,200 Speaker 4: so that I can afford one when it comes out. 25 00:01:31,200 --> 00:01:33,800 Speaker 4: And Elon Musk has said it could be available for 26 00:01:33,880 --> 00:01:35,800 Speaker 4: consumer purchase at the end of this year. 27 00:01:35,959 --> 00:01:39,040 Speaker 7: And I say all aboard the crazy train with that one. 28 00:01:39,720 --> 00:01:42,600 Speaker 7: You're listening to Casey and Jim at his ninety three WIBC. 29 00:01:42,760 --> 00:01:44,920 Speaker 7: Good morning, Hey, there may be a potential for some 30 00:01:45,080 --> 00:01:48,680 Speaker 7: severe weather this afternoon and this evening here in central Indiana, 31 00:01:49,040 --> 00:01:51,720 Speaker 7: so make sure you keep it locked right here. Also 32 00:01:51,760 --> 00:01:54,440 Speaker 7: on the way this morning, did you know that Doge 33 00:01:54,800 --> 00:01:55,240 Speaker 7: is back? 34 00:01:55,400 --> 00:01:55,920 Speaker 1: Hey, everybody. 35 00:01:56,000 --> 00:02:00,120 Speaker 8: Tim Burschick generated chair our first Doge subcommittee here in 36 00:02:00,160 --> 00:02:02,720 Speaker 8: a minute, going to show a lot of duplication and 37 00:02:02,800 --> 00:02:06,640 Speaker 8: government at crazy chart right there is an indication of 38 00:02:06,920 --> 00:02:08,880 Speaker 8: what we've got going on in government, probably over a 39 00:02:08,960 --> 00:02:12,400 Speaker 8: trillion dollars in duplication. We can cut a few million 40 00:02:12,440 --> 00:02:13,080 Speaker 8: bucks out of that. 41 00:02:13,120 --> 00:02:14,000 Speaker 1: I'd be very happy. 42 00:02:14,080 --> 00:02:15,639 Speaker 8: I'd like to cut it all out, but we'll see 43 00:02:15,639 --> 00:02:16,280 Speaker 8: how that goes. 44 00:02:16,600 --> 00:02:18,160 Speaker 6: So the media tried to bury Doge. 45 00:02:18,160 --> 00:02:21,040 Speaker 7: It's back with a chairman, with a subcommittee and a 46 00:02:21,160 --> 00:02:22,440 Speaker 7: very long list of. 47 00:02:22,480 --> 00:02:27,440 Speaker 6: Duplicative government programs. Good luck to you, Tim. Also, the 48 00:02:27,480 --> 00:02:29,240 Speaker 6: investigation continues. 49 00:02:29,840 --> 00:02:32,480 Speaker 5: All right, So we are here today at the first 50 00:02:32,480 --> 00:02:37,160 Speaker 5: of multiple series of the IURC, the commission looking into 51 00:02:37,400 --> 00:02:40,880 Speaker 5: all of the IOUs the investor owned utilities in Indiana, 52 00:02:41,040 --> 00:02:45,960 Speaker 5: discussing most importantly affordability. This is the first time there's 53 00:02:46,000 --> 00:02:50,680 Speaker 5: ever been an investigation from the IURC. Ever, I applaud 54 00:02:50,720 --> 00:02:54,239 Speaker 5: them for taking the effort and taking the General Assembly's 55 00:02:54,320 --> 00:02:57,040 Speaker 5: lead when we wrote the letter to the IURC. It 56 00:02:57,160 --> 00:02:58,960 Speaker 5: just goes to show that they are taking as serious 57 00:02:59,480 --> 00:03:02,799 Speaker 5: they're taking you, the rate paper payer, very serious, and 58 00:03:02,840 --> 00:03:05,480 Speaker 5: we want to get a good explanation as to why 59 00:03:05,520 --> 00:03:07,920 Speaker 5: these rates are where they're at and how do we 60 00:03:08,000 --> 00:03:10,960 Speaker 5: get them lowered at the fastest. 61 00:03:10,360 --> 00:03:14,800 Speaker 7: Possible way to be determined if they're taking us serious. 62 00:03:14,840 --> 00:03:16,280 Speaker 6: That is State Rep. Jim Pressl. 63 00:03:16,320 --> 00:03:20,160 Speaker 7: He was commenting on the iu RC's regular their investigation 64 00:03:20,280 --> 00:03:23,120 Speaker 7: on energy affordability. Nikki Kelly is going to join us 65 00:03:23,520 --> 00:03:26,200 Speaker 7: at ten o'clock and we're going to discuss that more 66 00:03:26,560 --> 00:03:30,000 Speaker 7: also on the way this morning. She works for Marco Rubio, 67 00:03:30,600 --> 00:03:32,440 Speaker 7: the US Secretary of State. 68 00:03:32,720 --> 00:03:37,120 Speaker 6: This administration has from the beginning spoken about peace through strength. 69 00:03:37,880 --> 00:03:39,120 Speaker 5: Peace through strength. 70 00:03:38,800 --> 00:03:40,920 Speaker 7: Can take on many forms, but the way I see 71 00:03:40,920 --> 00:03:44,040 Speaker 7: it it means we want our allies and our partners 72 00:03:44,120 --> 00:03:48,320 Speaker 7: to rest easy while our adversaries think twice. That is 73 00:03:48,360 --> 00:03:52,119 Speaker 7: the deputy spokesperson for the US State Department, minnyon Houston, 74 00:03:52,560 --> 00:03:55,160 Speaker 7: and she is going to join us at eleven. But 75 00:03:55,520 --> 00:03:59,760 Speaker 7: back to Malania Trump and her robot. Let's get things straight. 76 00:04:00,120 --> 00:04:01,200 Speaker 1: Yeah, I've been. 77 00:04:01,120 --> 00:04:04,280 Speaker 7: Calling it a humanoid. I don't like that phrase at all. 78 00:04:04,960 --> 00:04:08,840 Speaker 7: When you put the word human in humanoid, it waters 79 00:04:08,880 --> 00:04:10,280 Speaker 7: down actual mankind. 80 00:04:10,440 --> 00:04:12,400 Speaker 6: It's a robot. It's a machine. 81 00:04:12,520 --> 00:04:15,680 Speaker 4: Yeah, but it kind of looks like a human. It's 82 00:04:15,680 --> 00:04:17,920 Speaker 4: got a head and arms and legs and a torso 83 00:04:18,160 --> 00:04:20,800 Speaker 4: I think I think they're just trying to be descriptive. 84 00:04:21,000 --> 00:04:23,400 Speaker 4: And it's not like you've seen the other robots, like 85 00:04:23,920 --> 00:04:26,000 Speaker 4: it's a box that kind of just kind of rolls 86 00:04:26,040 --> 00:04:28,760 Speaker 4: around on wheels, either in an Amazon warehouse or some 87 00:04:28,800 --> 00:04:29,960 Speaker 4: other industrial setting. 88 00:04:30,240 --> 00:04:32,039 Speaker 1: This one looks more like a human. 89 00:04:32,320 --> 00:04:34,280 Speaker 7: Yes, but we can call it a robot or we 90 00:04:34,320 --> 00:04:38,039 Speaker 7: can call it an android. By calling it a human humanoid, 91 00:04:38,160 --> 00:04:40,680 Speaker 7: you're trying to humanize it and that's not what it is. 92 00:04:40,760 --> 00:04:43,720 Speaker 7: It's a machine and we're not going to give it 93 00:04:43,760 --> 00:04:44,640 Speaker 7: a name either. 94 00:04:44,880 --> 00:04:48,479 Speaker 4: That was my next question. You're against naming humanoid robots. 95 00:04:48,520 --> 00:04:52,000 Speaker 6: Then well, this one was called figure three. 96 00:04:51,760 --> 00:04:56,920 Speaker 7: I think people do name in animate objects, for example, 97 00:04:56,960 --> 00:04:57,440 Speaker 7: your car. 98 00:04:57,600 --> 00:04:59,320 Speaker 6: Many people give their car a nickname. 99 00:04:59,480 --> 00:05:01,040 Speaker 1: Yeah, right, But to call it. 100 00:05:01,000 --> 00:05:06,479 Speaker 7: A humanoid that just reduces humans and I don't like 101 00:05:06,560 --> 00:05:07,080 Speaker 7: that at all. 102 00:05:07,240 --> 00:05:11,920 Speaker 4: Okay, point noted, Look, you're against the robots. I'm one 103 00:05:11,960 --> 00:05:14,760 Speaker 4: hundred percent in favor of the robots. And this story 104 00:05:14,800 --> 00:05:16,479 Speaker 4: actually broke yesterday when we were on the air. We 105 00:05:16,480 --> 00:05:19,000 Speaker 4: talked about it a little bit and speculated because it 106 00:05:19,040 --> 00:05:20,760 Speaker 4: was kind of breaking news at the time, that might 107 00:05:20,760 --> 00:05:22,719 Speaker 4: be one of the Tesla Optimist robots. 108 00:05:22,720 --> 00:05:23,039 Speaker 1: It's not. 109 00:05:23,200 --> 00:05:26,080 Speaker 4: It's from a different company that's building robots here. And 110 00:05:26,520 --> 00:05:29,240 Speaker 4: I understand people's trepidation because there were a lot of 111 00:05:29,240 --> 00:05:31,880 Speaker 4: people freaking out on social media yesterday. And this video 112 00:05:32,000 --> 00:05:34,839 Speaker 4: is everywhere and you could see Millennia walking down that 113 00:05:34,960 --> 00:05:37,080 Speaker 4: long hallway and the robot walking. 114 00:05:36,760 --> 00:05:37,400 Speaker 1: Next to her. 115 00:05:38,360 --> 00:05:42,400 Speaker 4: But this is what has happened in this country with technology. 116 00:05:42,480 --> 00:05:44,760 Speaker 4: You know, at one point in time, one point in time, 117 00:05:45,080 --> 00:05:47,520 Speaker 4: we did not have indoor plumbing in this country. You 118 00:05:47,600 --> 00:05:49,720 Speaker 4: either had an outhouse or a chamber pot. And then 119 00:05:49,760 --> 00:05:52,479 Speaker 4: they started putting in pipes everywhere and indoor plumbing, and 120 00:05:52,520 --> 00:05:54,400 Speaker 4: people thought, oh, no, you're. 121 00:05:54,240 --> 00:05:55,919 Speaker 1: Bringing the waste inside. 122 00:05:56,000 --> 00:05:59,040 Speaker 4: It could make people sick, or these pipes are risky, 123 00:05:59,080 --> 00:06:01,599 Speaker 4: they could burst in, they could flood my home. Everywhere 124 00:06:01,680 --> 00:06:04,239 Speaker 4: there were still do Sometimes there were social concerns because 125 00:06:04,240 --> 00:06:06,840 Speaker 4: back at the time people thought that bathing too often 126 00:06:07,000 --> 00:06:10,839 Speaker 4: was a bad thing. And it turns out indoor palming 127 00:06:11,040 --> 00:06:14,280 Speaker 4: pretty darn nice piece of technology. Same thing with electricity. 128 00:06:14,440 --> 00:06:17,599 Speaker 4: When the country was being electrified in the early nineteen hundreds, 129 00:06:17,640 --> 00:06:21,400 Speaker 4: there were concerns about electrocution and house fires, and people 130 00:06:21,440 --> 00:06:23,800 Speaker 4: thought that they would be able to feel the electricity 131 00:06:23,839 --> 00:06:26,839 Speaker 4: in their house. There's a famous story of Thomas Edison 132 00:06:27,120 --> 00:06:31,400 Speaker 4: that literally little grotesque but literally electrocuted an elephant in 133 00:06:31,440 --> 00:06:34,680 Speaker 4: public to show about how dangerous electricity is. Turns out, 134 00:06:34,680 --> 00:06:38,040 Speaker 4: electricity pretty darn nice. I like it a lot. And look, 135 00:06:38,080 --> 00:06:40,440 Speaker 4: I get that people are freaked out about robots, but 136 00:06:40,640 --> 00:06:42,440 Speaker 4: robots are going to be pretty darn nice. 137 00:06:42,520 --> 00:06:46,000 Speaker 7: So Malania Trump, she entered into the East Room for 138 00:06:46,040 --> 00:06:49,520 Speaker 7: the second day of her international Technology summit. She was 139 00:06:49,560 --> 00:06:53,560 Speaker 7: hosting spouses of leaders from forty five nations and representatives 140 00:06:53,800 --> 00:06:56,080 Speaker 7: from twenty eight different tech companies. 141 00:06:56,520 --> 00:06:59,440 Speaker 6: The question isn't whether this is weird or whether it 142 00:06:59,680 --> 00:07:01,480 Speaker 6: freaked you out. It is weird. 143 00:07:02,000 --> 00:07:05,760 Speaker 7: The question is whether kids learn better from a robot 144 00:07:06,000 --> 00:07:09,880 Speaker 7: than from a union teacher who can't be fired. So 145 00:07:10,400 --> 00:07:14,960 Speaker 7: that's what was the real directive of this announcement. Milania 146 00:07:14,960 --> 00:07:19,360 Speaker 7: Trump was suggesting using humanoid robots as teachers. 147 00:07:19,480 --> 00:07:25,760 Speaker 9: Moving forward, imagine an humanoid educator named Plato. Access to 148 00:07:25,840 --> 00:07:36,360 Speaker 9: the classical studies is now instantaneous literature, science, art, philosophy, mathematics, 149 00:07:36,720 --> 00:07:42,920 Speaker 9: and history. Humanity's entire corpus of information is available in 150 00:07:43,000 --> 00:07:49,920 Speaker 9: the comfort of your home. Plato will provide a personalized experience, 151 00:07:50,320 --> 00:07:55,520 Speaker 9: adoptive to the needs of each student. Plato is always 152 00:07:55,560 --> 00:07:57,920 Speaker 9: patient and always available. 153 00:08:00,000 --> 00:08:04,440 Speaker 7: So she proposed using robot teachers to world leaders. Public 154 00:08:04,440 --> 00:08:08,200 Speaker 7: school test scores are at historic lows. You've got teacher shortages, 155 00:08:08,280 --> 00:08:10,520 Speaker 7: that's real. A robot is going to show up every 156 00:08:10,560 --> 00:08:11,920 Speaker 7: day and doesn't go on strike. 157 00:08:12,000 --> 00:08:13,640 Speaker 6: So I think we need to weigh the pros and 158 00:08:13,720 --> 00:08:14,320 Speaker 6: cons of this. 159 00:08:14,920 --> 00:08:18,240 Speaker 7: Some of the pros You've got the national standard that 160 00:08:18,280 --> 00:08:22,600 Speaker 7: can be taught and forced through AI, and every student 161 00:08:22,680 --> 00:08:26,720 Speaker 7: will receive training which is devoid of politics or in 162 00:08:26,800 --> 00:08:32,560 Speaker 7: doctrination or bias. Con is that a robot can be 163 00:08:32,640 --> 00:08:39,240 Speaker 7: programmed by the state with propaganda. Now, there are some 164 00:08:39,280 --> 00:08:41,959 Speaker 7: things that a robot can do. It could take down 165 00:08:42,000 --> 00:08:46,840 Speaker 7: an active shooter. It could deal with fights in the classroom. 166 00:08:47,559 --> 00:08:50,840 Speaker 7: It could have unlimited office hours. It's not going to 167 00:08:50,840 --> 00:08:53,760 Speaker 7: take a vacation five months out of the year. It 168 00:08:53,800 --> 00:08:57,280 Speaker 7: won't be in a union, it won't be a voting block. 169 00:08:58,120 --> 00:09:01,160 Speaker 7: It can be upgraded, it can be more efficient, it 170 00:09:01,240 --> 00:09:08,160 Speaker 7: can be precise, it can be organized. However, test after 171 00:09:08,240 --> 00:09:14,520 Speaker 7: test shows that young children, especially learn through real human 172 00:09:14,600 --> 00:09:18,560 Speaker 7: to human interaction. And part of going to school is 173 00:09:18,720 --> 00:09:23,640 Speaker 7: the socialization aspect of it, real human connection, and you're 174 00:09:23,679 --> 00:09:25,680 Speaker 7: not gonna get that with a robot. 175 00:09:25,960 --> 00:09:28,000 Speaker 4: No, there's certainly going to be some things that robots 176 00:09:28,040 --> 00:09:30,200 Speaker 4: can't do. And that's and that's certainly one of them, 177 00:09:30,240 --> 00:09:32,800 Speaker 4: that kind of person to person in social interaction. And 178 00:09:32,840 --> 00:09:36,080 Speaker 4: I think teacher teaching and education was just an example here. 179 00:09:36,360 --> 00:09:38,160 Speaker 4: This is this is part of a trend here. You've 180 00:09:38,200 --> 00:09:40,600 Speaker 4: had these tech leaders for the last couple of years 181 00:09:40,600 --> 00:09:42,480 Speaker 4: now that I've been jumping up and down and saying 182 00:09:42,520 --> 00:09:46,800 Speaker 4: look AI and humanoid robots, they're coming. They're coming fast. 183 00:09:46,880 --> 00:09:49,800 Speaker 4: It is going to dramatically change our culture. It is 184 00:09:49,840 --> 00:09:52,760 Speaker 4: going to dramatically change the way we look at work. 185 00:09:52,840 --> 00:09:57,560 Speaker 4: It will create a massive upheaval employment, and for the 186 00:09:57,600 --> 00:10:00,040 Speaker 4: most part, a lot of people weren't really listening to it. 187 00:10:00,120 --> 00:10:01,960 Speaker 4: This seems to me like this is kind of the 188 00:10:01,960 --> 00:10:05,280 Speaker 4: first big step in government, the United States government coming 189 00:10:05,280 --> 00:10:08,480 Speaker 4: out and saying, look, this is what technology can do. 190 00:10:08,920 --> 00:10:13,000 Speaker 4: We're talking about, in this specific instance, potentially robots replacing 191 00:10:13,080 --> 00:10:17,320 Speaker 4: teachers in the classroom. That's just one example. Robots are 192 00:10:17,400 --> 00:10:22,560 Speaker 4: going to be replacing employees across all industries everywhere, and 193 00:10:22,600 --> 00:10:26,040 Speaker 4: it's coming very, very quickly. It's already started in a 194 00:10:26,040 --> 00:10:28,600 Speaker 4: lot of industries. And we're talking about this is not 195 00:10:28,760 --> 00:10:31,640 Speaker 4: ten years away. This is not twenty years away. This 196 00:10:31,679 --> 00:10:33,360 Speaker 4: is more like two or three years away. 197 00:10:34,120 --> 00:10:36,560 Speaker 7: We've got so much more to talk about this, and 198 00:10:36,600 --> 00:10:38,600 Speaker 7: we'll get to all of it. You're listening to Casey 199 00:10:38,640 --> 00:10:46,079 Speaker 7: and Jim. It is ninety three WIBC. A lot of 200 00:10:46,160 --> 00:10:50,000 Speaker 7: people are calling it social media is tobacco moment. Big 201 00:10:50,080 --> 00:10:54,320 Speaker 7: Tech spent years saying their platforms were harmless, while the 202 00:10:54,360 --> 00:10:58,160 Speaker 7: internal research showed they knew exactly what they were doing. 203 00:10:58,280 --> 00:11:02,520 Speaker 7: The jury agreed this is just the beginning. A jury 204 00:11:02,640 --> 00:11:08,280 Speaker 7: rule that meta platforms and Google are legally responsible for harming. 205 00:11:07,840 --> 00:11:10,080 Speaker 6: A young user's mental health. 206 00:11:10,679 --> 00:11:14,559 Speaker 7: This case focused on platforms like Instagram and YouTube and 207 00:11:14,679 --> 00:11:19,720 Speaker 7: the claims they were designed to be addictive, especially for kids. 208 00:11:20,040 --> 00:11:22,720 Speaker 7: There was a plaintiff, a young woman said she became 209 00:11:22,840 --> 00:11:26,000 Speaker 7: addicted as a child and claimed that the apps contributed 210 00:11:26,040 --> 00:11:31,400 Speaker 7: to her depression, anxiety, and other issues, and the jury agreed. 211 00:11:31,960 --> 00:11:35,160 Speaker 7: They said both of those companies were negligent and they 212 00:11:35,200 --> 00:11:38,680 Speaker 7: didn't warn their users about the risks, and even their 213 00:11:38,720 --> 00:11:41,920 Speaker 7: design choices played a major role in the harm. 214 00:11:42,240 --> 00:11:44,480 Speaker 4: This is a really big deal and it got some 215 00:11:44,840 --> 00:11:48,280 Speaker 4: traction in the news media yesterday, but probably not enough 216 00:11:48,280 --> 00:11:51,520 Speaker 4: for how big of a deal is is because now 217 00:11:51,840 --> 00:11:54,080 Speaker 4: this was a state level case. This was not a 218 00:11:54,120 --> 00:11:56,520 Speaker 4: federal case, so this was California, so that kind of 219 00:11:56,559 --> 00:11:58,880 Speaker 4: helps social media companies contain. 220 00:11:58,600 --> 00:11:59,760 Speaker 1: The fallout a little bit. 221 00:11:59,840 --> 00:12:02,920 Speaker 4: But what I think you can expect going forward here 222 00:12:03,440 --> 00:12:07,599 Speaker 4: is probably a flood of lawsuits that are going to 223 00:12:07,679 --> 00:12:10,400 Speaker 4: take place here because now they've got some legal precedent. 224 00:12:10,600 --> 00:12:12,559 Speaker 4: And that's a big part of this. Keep in mind here, 225 00:12:12,640 --> 00:12:15,959 Speaker 4: so much of what happens in a courtroom is legal precedent. Okay, 226 00:12:15,960 --> 00:12:18,560 Speaker 4: what happened, when something happened before, and what did it 227 00:12:18,600 --> 00:12:20,720 Speaker 4: look like before, and how did those judges rule at 228 00:12:20,720 --> 00:12:24,199 Speaker 4: that point in time. Social media company specifically, this is 229 00:12:24,440 --> 00:12:28,040 Speaker 4: really one of the first times where they've been held 230 00:12:28,240 --> 00:12:33,000 Speaker 4: liable for these specific problems, and so this is all new. 231 00:12:33,080 --> 00:12:34,920 Speaker 4: So now you're going to see a ton more lawsuits. 232 00:12:35,040 --> 00:12:37,480 Speaker 4: I'm sure you'll see some federal lawsuits. You know, you're 233 00:12:37,480 --> 00:12:40,480 Speaker 4: going to see appeals on this, But most of what 234 00:12:40,559 --> 00:12:42,760 Speaker 4: this means going forward going to be great for lawyers. 235 00:12:42,840 --> 00:12:44,760 Speaker 4: Lawyers are going to do fantastic with all of this. 236 00:12:45,040 --> 00:12:47,280 Speaker 4: But it's it's far from settled, that's for sure. 237 00:12:47,480 --> 00:12:50,840 Speaker 7: So the financial outcome about six million dollars in total damages, 238 00:12:50,960 --> 00:12:53,560 Speaker 7: roughly four point two from Meta, one point eight million 239 00:12:53,600 --> 00:12:54,200 Speaker 7: from Google. 240 00:12:54,320 --> 00:12:56,200 Speaker 6: And you're right, this is a big deal. 241 00:12:56,280 --> 00:12:59,959 Speaker 7: It's like a test case for thousands of other lawsuit 242 00:13:00,120 --> 00:13:02,960 Speaker 7: so that will most likely come and it really could 243 00:13:03,080 --> 00:13:06,680 Speaker 7: change how the tech companies design their apps going forward. 244 00:13:06,760 --> 00:13:10,120 Speaker 7: They might try to make them be more difficult to 245 00:13:10,240 --> 00:13:15,040 Speaker 7: use or even uglier, less colorful, and maybe it will 246 00:13:15,080 --> 00:13:17,240 Speaker 7: even change push notifications. 247 00:13:17,559 --> 00:13:19,440 Speaker 1: Yeah, now you got to be clear about this. 248 00:13:19,440 --> 00:13:23,400 Speaker 4: This lawsuit was brought against Meta, which includes Facebook, and Instagram, 249 00:13:23,440 --> 00:13:26,880 Speaker 4: and it was brought against Google, which operates YouTube as well. 250 00:13:27,520 --> 00:13:29,920 Speaker 4: Some of the other social media companies had already settled 251 00:13:29,920 --> 00:13:32,160 Speaker 4: with this plaintiff, so kind of keep that in mind. 252 00:13:32,240 --> 00:13:35,240 Speaker 7: Yet TikTok and Snapchat they were involved earlier and they 253 00:13:35,320 --> 00:13:36,560 Speaker 7: settled before the trial. 254 00:13:36,679 --> 00:13:37,880 Speaker 4: And so you're going to see a lot of that. 255 00:13:37,920 --> 00:13:39,720 Speaker 4: You're going to see more of these come to trial. 256 00:13:39,840 --> 00:13:42,200 Speaker 4: You'll probably see some of them be settled by social 257 00:13:42,240 --> 00:13:44,880 Speaker 4: media companies. Some will go to a full jury trial, 258 00:13:44,920 --> 00:13:47,680 Speaker 4: and we'll see what happens as that rolls around. 259 00:13:47,720 --> 00:13:54,680 Speaker 1: But this is it's a really big deal, and we really. 260 00:13:54,960 --> 00:13:56,800 Speaker 4: Like we talked about, this is all new, so we 261 00:13:56,920 --> 00:13:58,679 Speaker 4: really don't know where it's going to go from here. 262 00:13:58,679 --> 00:14:01,400 Speaker 4: But I love your Big Tobacco comparison, because if you 263 00:14:01,920 --> 00:14:04,400 Speaker 4: remember when all those settlements happened with the various states 264 00:14:04,400 --> 00:14:06,760 Speaker 4: back in the eighties and nineties, it was really that 265 00:14:06,840 --> 00:14:09,760 Speaker 4: one first settlement that took place, and then it was like, Okay, 266 00:14:09,920 --> 00:14:12,080 Speaker 4: all the rest of the states saw dollar signs and 267 00:14:12,080 --> 00:14:14,200 Speaker 4: they were like, I'm gonna settle with big Tobacco and 268 00:14:14,240 --> 00:14:16,480 Speaker 4: get me some of that sweet, sweet big tobacco money. 269 00:14:16,679 --> 00:14:19,040 Speaker 4: And then Big Tobacco did that across the whole board. 270 00:14:19,320 --> 00:14:22,320 Speaker 4: It seems to me that if there is a path 271 00:14:22,360 --> 00:14:24,480 Speaker 4: going forward, if you can make any prediction about this, 272 00:14:24,760 --> 00:14:27,840 Speaker 4: it seems to be that the Big Tobacco settlements in lawsuits, 273 00:14:28,000 --> 00:14:32,160 Speaker 4: that looks like it may be the most likely process 274 00:14:32,360 --> 00:14:34,360 Speaker 4: going forward here for these social media Well. 275 00:14:34,280 --> 00:14:37,360 Speaker 7: And think about what happened after the Big Tobacco moments. 276 00:14:37,400 --> 00:14:39,520 Speaker 7: They had to put warning labels on all of the 277 00:14:39,560 --> 00:14:42,880 Speaker 7: cigarette packages. So now is social media gonna come with 278 00:14:42,920 --> 00:14:43,720 Speaker 7: a warning label? 279 00:14:44,200 --> 00:14:45,840 Speaker 4: You know what I mean? That's part of the settlement. 280 00:14:45,840 --> 00:14:47,880 Speaker 4: There's a ton of different things, like you just mentioned. 281 00:14:47,880 --> 00:14:51,360 Speaker 4: Not all of the settlements include strictly monetary settlements. 282 00:14:51,600 --> 00:14:53,080 Speaker 1: That's certainly a big part of it. 283 00:14:53,120 --> 00:14:55,560 Speaker 4: But there were some non monetary parts of that settlement 284 00:14:55,600 --> 00:14:58,960 Speaker 4: that went forward. But what Big Tobacco did at the time, 285 00:14:59,040 --> 00:15:01,720 Speaker 4: another thing big is it's settled with all these states 286 00:15:01,960 --> 00:15:06,280 Speaker 4: and basically insulated themselves from future lawsuits. Now you don't 287 00:15:06,320 --> 00:15:08,720 Speaker 4: have to feel sorry for Meta or Google or any 288 00:15:08,760 --> 00:15:11,120 Speaker 4: of these social media companies. They got billions and billions 289 00:15:11,120 --> 00:15:13,120 Speaker 4: of dollars and they can handle any sort of payouts 290 00:15:13,160 --> 00:15:15,240 Speaker 4: that come along with it. But it will be interesting 291 00:15:15,240 --> 00:15:17,960 Speaker 4: to see that as this moves forward. If the social 292 00:15:18,000 --> 00:15:21,120 Speaker 4: media companies just settle with all of these states in 293 00:15:21,160 --> 00:15:24,040 Speaker 4: the federal government, then they kind of got I don't 294 00:15:24,040 --> 00:15:26,280 Speaker 4: want to call it a free pass going forward, but 295 00:15:26,320 --> 00:15:29,080 Speaker 4: they have a path going forward. 296 00:15:29,280 --> 00:15:34,080 Speaker 7: So Meta says that they will appeal. Of course they will. 297 00:15:34,160 --> 00:15:37,680 Speaker 2: We will continue to defend ourselves vigorously as every case 298 00:15:37,760 --> 00:15:40,920 Speaker 2: is different, and we remain confident in our record of 299 00:15:41,040 --> 00:15:43,560 Speaker 2: protecting teams online. 300 00:15:43,760 --> 00:15:47,400 Speaker 7: Yeah, they've got more lawyers than most countries have citizens. 301 00:15:47,880 --> 00:15:50,520 Speaker 7: The verdict, though, does seem like it is a crack 302 00:15:50,600 --> 00:15:55,240 Speaker 7: in the dam, and things most likely will change in 303 00:15:55,280 --> 00:15:59,960 Speaker 7: regards to social media because of this. More lawsuits possible, 304 00:16:00,520 --> 00:16:03,160 Speaker 7: more regulations are expected because of this. 305 00:16:03,360 --> 00:16:05,480 Speaker 4: Well, yeah, you're right the social media companies, this is 306 00:16:05,480 --> 00:16:07,280 Speaker 4: certainly a wake up call for them because they see 307 00:16:07,280 --> 00:16:09,840 Speaker 4: a huge risk to their finances going forward. So at 308 00:16:09,840 --> 00:16:12,760 Speaker 4: the very least, you'll probably start to see some small 309 00:16:12,880 --> 00:16:15,800 Speaker 4: changes with social media apps and they'll make some adjustments 310 00:16:15,880 --> 00:16:18,520 Speaker 4: because they want to insulate themselves from any potential risk 311 00:16:18,640 --> 00:16:21,400 Speaker 4: going forward as best they can, and that's certainly going 312 00:16:21,440 --> 00:16:25,640 Speaker 4: to be part of this. I do think that I 313 00:16:25,680 --> 00:16:28,960 Speaker 4: do think that this is, like you said, the crack 314 00:16:29,040 --> 00:16:33,200 Speaker 4: in the dam. Look, these companies all have billions of dollars, 315 00:16:33,280 --> 00:16:35,200 Speaker 4: and with that they can buy the best lawyers in 316 00:16:35,240 --> 00:16:37,360 Speaker 4: the world. What I think they're hoping for is, Okay, 317 00:16:37,440 --> 00:16:39,760 Speaker 4: let's get this one on appeal, and then let's shut 318 00:16:39,800 --> 00:16:42,400 Speaker 4: down as many of these as we can going forward 319 00:16:42,480 --> 00:16:45,080 Speaker 4: so that crack in the dam doesn't turn into the 320 00:16:45,160 --> 00:16:46,080 Speaker 4: dam bursting and. 321 00:16:46,000 --> 00:16:47,600 Speaker 6: Flooding the lol tabs opening up. 322 00:16:47,680 --> 00:16:51,840 Speaker 7: Yeah, there was another settlement that was reached over claims 323 00:16:51,880 --> 00:16:56,160 Speaker 7: from the Biden era about pressuring social media companies. The 324 00:16:56,240 --> 00:17:00,040 Speaker 7: lawsuit was brought by states like Missouri and Louisiana, and 325 00:17:00,120 --> 00:17:04,399 Speaker 7: the claim was that government officials pushed platforms like Facebook 326 00:17:04,400 --> 00:17:05,440 Speaker 7: and YouTube to. 327 00:17:05,520 --> 00:17:07,920 Speaker 6: Remove or limit certain posts. 328 00:17:08,359 --> 00:17:13,439 Speaker 7: Topics included things like COVID nineteen and elections, and a 329 00:17:13,480 --> 00:17:17,280 Speaker 7: settlement was reached in that the government signed a ten 330 00:17:17,359 --> 00:17:21,840 Speaker 7: year consent degree admitting that it colluded with big tech 331 00:17:22,200 --> 00:17:26,640 Speaker 7: to silence Americans on COVID, on the Hunter Biden laptop 332 00:17:26,800 --> 00:17:31,719 Speaker 7: on the twenty twenty election. I mean, that's pretty incredible 333 00:17:31,960 --> 00:17:35,320 Speaker 7: that you've got the US government signing a ten year 334 00:17:35,400 --> 00:17:39,200 Speaker 7: consent degree admitting that it colluded with big tech. 335 00:17:39,320 --> 00:17:42,000 Speaker 6: Yeah, we all knew it was, and now they're admitting 336 00:17:42,040 --> 00:17:42,520 Speaker 6: that they did. 337 00:17:42,640 --> 00:17:45,000 Speaker 4: Yeah, this goes back to what happened during COVID under 338 00:17:45,040 --> 00:17:47,479 Speaker 4: the Biden era, And I think that part of what 339 00:17:47,520 --> 00:17:50,000 Speaker 4: we need to mention this is that this is now 340 00:17:50,040 --> 00:17:52,760 Speaker 4: a Trump run US government that of. 341 00:17:52,800 --> 00:17:55,040 Speaker 1: Course they're going to be more. 342 00:17:54,840 --> 00:17:57,679 Speaker 4: Open to settling with this and calling out how the 343 00:17:57,680 --> 00:18:00,600 Speaker 4: Biden administration did all of these things that were My 344 00:18:00,680 --> 00:18:02,879 Speaker 4: guess is that if you know Kamala Harris won the 345 00:18:03,200 --> 00:18:05,639 Speaker 4: election in twenty twenty four and not Donald Trump, you 346 00:18:05,840 --> 00:18:08,719 Speaker 4: probably wouldn't have seen this settlement from the federal government. 347 00:18:08,880 --> 00:18:10,360 Speaker 4: But this is a big deal, and you know, we've 348 00:18:10,359 --> 00:18:13,040 Speaker 4: got to keep bringing it back to the fact that 349 00:18:13,040 --> 00:18:18,119 Speaker 4: Elon Musk bought Twitter. Opened that allowed somebody who was 350 00:18:18,200 --> 00:18:21,040 Speaker 4: interested in the truth to be able to buy one 351 00:18:21,080 --> 00:18:23,920 Speaker 4: of these social media companies, get in there and then 352 00:18:24,000 --> 00:18:27,040 Speaker 4: release all of that communication that took place between Twitter 353 00:18:27,119 --> 00:18:29,159 Speaker 4: and the federal government, and then that opened up to 354 00:18:29,200 --> 00:18:31,960 Speaker 4: the other social media companies sharing their communications as well. 355 00:18:32,160 --> 00:18:36,080 Speaker 7: So calling something misinformation doesn't make it unprotected speech. That 356 00:18:36,160 --> 00:18:39,080 Speaker 7: quote should be on a billboard outside every newsroom in America. 357 00:18:39,160 --> 00:18:43,040 Speaker 7: The government doesn't get to decide what's true. Calling something 358 00:18:43,080 --> 00:18:48,040 Speaker 7: misinformation doesn't make it unprotected speech. You're listening to ninety 359 00:18:48,080 --> 00:18:49,920 Speaker 7: three WIBC. 360 00:18:53,920 --> 00:18:56,399 Speaker 3: On this vote, the eas or four of the na's 361 00:18:56,480 --> 00:18:59,399 Speaker 3: or forty six three fifths of the Senate Dewey chosen 362 00:18:59,440 --> 00:19:03,879 Speaker 3: and sworn nine. Having an affirmative emotion upon reconsideration is 363 00:19:03,920 --> 00:19:04,479 Speaker 3: not a great sea. 364 00:19:05,520 --> 00:19:08,320 Speaker 7: Yeah, they had one job fund the government for two weeks, 365 00:19:08,440 --> 00:19:11,520 Speaker 7: just two weeks, so the TSA agents could feed their families. 366 00:19:11,800 --> 00:19:14,879 Speaker 7: But Democrats they blocked it fifty four to forty six. 367 00:19:15,000 --> 00:19:17,720 Speaker 7: Every single one of those forty six votes is a 368 00:19:17,800 --> 00:19:19,520 Speaker 7: name voters should remember. 369 00:19:19,680 --> 00:19:20,680 Speaker 6: And what do you have now? 370 00:19:20,760 --> 00:19:23,240 Speaker 7: You've got TSA agents that are sleeping in their cars, 371 00:19:23,280 --> 00:19:26,040 Speaker 7: they're being evicted, they're quitting their jobs. This is what 372 00:19:26,200 --> 00:19:29,760 Speaker 7: Democrats chose over a two week funding extension. There is 373 00:19:29,880 --> 00:19:32,480 Speaker 7: no spin to this, and the more you think about it, 374 00:19:32,960 --> 00:19:36,360 Speaker 7: the more it really feels like this is a control thing. 375 00:19:36,880 --> 00:19:40,600 Speaker 7: They just don't want you going anywhere. Just go inside 376 00:19:40,600 --> 00:19:44,120 Speaker 7: your house and stay there, don't ever try to leave. 377 00:19:44,480 --> 00:19:46,880 Speaker 4: Well, the Democrats want this because it's a They think 378 00:19:46,920 --> 00:19:48,879 Speaker 4: it's a good talking point for them. They think it 379 00:19:49,480 --> 00:19:52,919 Speaker 4: shows their base that they're standing up to Ice and 380 00:19:53,000 --> 00:19:57,480 Speaker 4: not letting this additional funding go through. I'm smart move 381 00:19:57,520 --> 00:20:00,040 Speaker 4: by the Republicans by trying to say, okay, fine, you 382 00:20:00,040 --> 00:20:01,720 Speaker 4: don't want to fund the whole thing, just let's just 383 00:20:01,760 --> 00:20:04,680 Speaker 4: pay TSA for two weeks. And Nope, that still didn't work. 384 00:20:05,080 --> 00:20:08,800 Speaker 4: Still didn't work. Despite the fact that in our country 385 00:20:08,840 --> 00:20:11,280 Speaker 4: we should be on heightened security right now, because you know, 386 00:20:11,359 --> 00:20:14,560 Speaker 4: we're at war with Iran terrorist state that has its 387 00:20:14,640 --> 00:20:18,120 Speaker 4: tentacles all over the world. Funding security for our airports 388 00:20:18,160 --> 00:20:20,760 Speaker 4: you would think would be a big priority. This goes 389 00:20:20,800 --> 00:20:23,760 Speaker 4: beyond just long lines at TSA. This is about the 390 00:20:23,800 --> 00:20:26,680 Speaker 4: security at airports. And we can't even get a temporary 391 00:20:26,720 --> 00:20:27,600 Speaker 4: two week funding pack. 392 00:20:27,720 --> 00:20:30,919 Speaker 7: And now you've got the TSA people saying, you know what, 393 00:20:30,960 --> 00:20:33,960 Speaker 7: they're gonna have to start shutting airports down because they've 394 00:20:33,960 --> 00:20:36,760 Speaker 7: got so many agents that are quitting. They can't even 395 00:20:36,800 --> 00:20:38,880 Speaker 7: afford to get to the airport to do the job 396 00:20:38,920 --> 00:20:40,320 Speaker 7: that they're not getting paid for. 397 00:20:40,760 --> 00:20:44,840 Speaker 4: Right And I feel terrible for the TSA agents because 398 00:20:44,840 --> 00:20:46,400 Speaker 4: they're the ones stuck in the middle of this. They're 399 00:20:46,440 --> 00:20:49,160 Speaker 4: the ones the Republicans and the Democrats can't agree on this, 400 00:20:49,280 --> 00:20:52,320 Speaker 4: can't do the funding. And meanwhile, I'm a TSA employee 401 00:20:52,320 --> 00:20:54,200 Speaker 4: and I'm showing up to work every day and I'm 402 00:20:54,240 --> 00:20:56,399 Speaker 4: not getting my paycheck. And we've seen tons of stories 403 00:20:56,400 --> 00:20:58,760 Speaker 4: about how, you know, certain TSA employees have had to 404 00:20:58,880 --> 00:21:02,000 Speaker 4: resort to going to food and asking friends and family 405 00:21:02,040 --> 00:21:05,280 Speaker 4: members for loans because they can't pay their bills. It 406 00:21:05,320 --> 00:21:09,520 Speaker 4: is we're talking about this. It's interesting because I think 407 00:21:09,560 --> 00:21:12,080 Speaker 4: the Democrats got away with this for several weeks because 408 00:21:12,160 --> 00:21:15,000 Speaker 4: all of the focus for everybody was on what's going 409 00:21:15,040 --> 00:21:17,680 Speaker 4: on in Iran. And now that there's not as much 410 00:21:17,760 --> 00:21:20,480 Speaker 4: focus that's going on in Iran, there's a lot more 411 00:21:20,520 --> 00:21:23,320 Speaker 4: focus that's happening here with TSA. I hope that that 412 00:21:23,400 --> 00:21:25,600 Speaker 4: extra focus means that it'll put the pressure on the 413 00:21:25,600 --> 00:21:29,400 Speaker 4: Democrats and that we're getting close to a solution somehow. 414 00:21:29,480 --> 00:21:30,680 Speaker 6: Well, tomorrow's the date. 415 00:21:31,119 --> 00:21:33,240 Speaker 7: They've got to come to a solution by tomorrow or 416 00:21:33,280 --> 00:21:34,720 Speaker 7: they're gone for two weeks. 417 00:21:34,760 --> 00:21:37,040 Speaker 4: For two weeks, yeah, despite the fact that Donald Trump 418 00:21:37,080 --> 00:21:39,920 Speaker 4: asked them to stay in session through the Easter weekend. 419 00:21:40,160 --> 00:21:41,200 Speaker 6: They told him to kick rock. 420 00:21:41,280 --> 00:21:43,400 Speaker 4: Congress was like, stick it, You're not my boss. We're 421 00:21:43,400 --> 00:21:45,000 Speaker 4: gonna do what we want and we're going home for 422 00:21:45,040 --> 00:21:47,160 Speaker 4: two weeks. And I don't care if DHS is shut 423 00:21:47,160 --> 00:21:47,840 Speaker 4: down and you're. 424 00:21:47,680 --> 00:21:49,840 Speaker 7: Seeing more and more people saying, oh, they're missing their 425 00:21:49,840 --> 00:21:52,960 Speaker 7: flights and would you like you you couldn't pay me 426 00:21:53,160 --> 00:21:54,080 Speaker 7: to fly right now? 427 00:21:54,400 --> 00:21:56,800 Speaker 4: Yeah, and sending ICE to some of these airports. And 428 00:21:56,880 --> 00:21:58,600 Speaker 4: keep in mind ice, I think is it like ten 429 00:21:58,760 --> 00:22:02,320 Speaker 4: or fifteen airports around the country, So it's not everywhere. 430 00:22:01,840 --> 00:22:05,440 Speaker 1: And it's helping a little bit. But again this morning. 431 00:22:05,160 --> 00:22:07,720 Speaker 4: There were reports in certain airports around the country of 432 00:22:07,800 --> 00:22:10,639 Speaker 4: again three and four hour tsa lines. Yeah, I have 433 00:22:11,200 --> 00:22:13,760 Speaker 4: no interest in flying right now. Like you said, you 434 00:22:13,760 --> 00:22:15,400 Speaker 4: couldn't pay me to get on a plane right now. 435 00:22:15,400 --> 00:22:17,640 Speaker 4: I don't care if I'm driving to Phoenix. I'm gonna, 436 00:22:17,640 --> 00:22:19,359 Speaker 4: you know, suck it up and do the thirty hours 437 00:22:19,400 --> 00:22:19,879 Speaker 4: in a car. 438 00:22:20,000 --> 00:22:22,520 Speaker 7: Get in my car, and we'll talk about gas prices 439 00:22:22,560 --> 00:22:23,399 Speaker 7: in just a second. 440 00:22:23,720 --> 00:22:26,840 Speaker 6: But first, what is it? Day forty day forty one? 441 00:22:27,680 --> 00:22:32,160 Speaker 7: And here this woman is an Atlanta traveler, and her 442 00:22:32,240 --> 00:22:35,760 Speaker 7: message is to her Senator John Osoff, who, by the way, 443 00:22:36,000 --> 00:22:40,560 Speaker 7: is up for reelection. He's from Georgia, and here's someone 444 00:22:40,800 --> 00:22:45,280 Speaker 7: one of his potential voters telling him that this is ridiculous. 445 00:22:45,600 --> 00:22:48,240 Speaker 6: Do you have a message to these lawmakers? 446 00:22:49,440 --> 00:22:53,280 Speaker 10: Get out, get out of get on the ball. And 447 00:22:53,320 --> 00:22:56,560 Speaker 10: make a decision. This is ridiculous. We get people who 448 00:22:56,680 --> 00:22:59,240 Speaker 10: are going hungry. They can't get to work because they 449 00:22:59,280 --> 00:23:02,720 Speaker 10: don't have the guess, let them work, let them get 450 00:23:02,720 --> 00:23:05,160 Speaker 10: paid so they can do their jobs. 451 00:23:05,600 --> 00:23:07,720 Speaker 7: So do you think that that woman would vote for 452 00:23:07,880 --> 00:23:11,719 Speaker 7: John Osoft, Democrat from Georgia. Probably not. That could be 453 00:23:12,400 --> 00:23:16,359 Speaker 7: a campaign ad for somebody running against him. But let's 454 00:23:16,359 --> 00:23:19,679 Speaker 7: talk about those gas prices here in Indiana. In some 455 00:23:19,800 --> 00:23:23,760 Speaker 7: places they're about four dollars per gallon in many places 456 00:23:24,320 --> 00:23:27,080 Speaker 7: between four oh seven and four oh eight is the average. 457 00:23:27,160 --> 00:23:29,760 Speaker 4: Yeah, exactly four oh seven is what Triple A is reporting. 458 00:23:29,840 --> 00:23:32,720 Speaker 4: Is the national average for the entire state of Indiana. 459 00:23:32,760 --> 00:23:35,840 Speaker 4: By the way, that's higher than the national average. So 460 00:23:35,880 --> 00:23:38,240 Speaker 4: our gas prices here in Indiana are higher than the 461 00:23:38,320 --> 00:23:40,760 Speaker 4: national average, and that is that is a bit of 462 00:23:40,760 --> 00:23:43,760 Speaker 4: a flip because generally our gas prices in Indiana are 463 00:23:43,800 --> 00:23:46,680 Speaker 4: slightly below the national average, or that's been the case 464 00:23:46,720 --> 00:23:48,119 Speaker 4: in the last several months. 465 00:23:48,160 --> 00:23:50,080 Speaker 6: Not right now, diesel even higher. 466 00:23:50,119 --> 00:23:53,320 Speaker 7: It's around five dollars and seventeen cents per gallon, and 467 00:23:53,400 --> 00:23:56,800 Speaker 7: the prices they're rising fast, up about twenty eight cents 468 00:23:57,240 --> 00:23:59,520 Speaker 7: in just one week, more. 469 00:23:59,359 --> 00:24:01,679 Speaker 6: Than a dollar higher than a month ago. 470 00:24:02,040 --> 00:24:04,640 Speaker 7: So the cheapest that is being reported around the Great 471 00:24:04,680 --> 00:24:07,720 Speaker 7: State of Indiana three dollars and twelve cents, the most 472 00:24:07,760 --> 00:24:11,520 Speaker 7: expensive four dollars and twenty nine cents. Of course, you've 473 00:24:11,560 --> 00:24:14,679 Speaker 7: got the prices going up one because of seasonal demand, 474 00:24:14,840 --> 00:24:18,159 Speaker 7: spring and summer driving, but also the global oil supply, 475 00:24:18,359 --> 00:24:23,200 Speaker 7: the ongoing disruptions and everything that's going on with Iran, and. 476 00:24:23,280 --> 00:24:27,440 Speaker 6: Prices are just they just keep on climbing. 477 00:24:27,520 --> 00:24:31,119 Speaker 7: So if you were thinking about driving to Arizona, I 478 00:24:31,119 --> 00:24:32,560 Speaker 7: don't know, it's going to be kind. 479 00:24:32,400 --> 00:24:35,000 Speaker 6: Of expensive at least when you leave this state. 480 00:24:34,880 --> 00:24:37,000 Speaker 1: Right I say, it seems like we're kind of boxed 481 00:24:37,040 --> 00:24:37,320 Speaker 1: in here. 482 00:24:37,600 --> 00:24:39,359 Speaker 7: I'm saying they don't want you to leave your house, 483 00:24:39,400 --> 00:24:41,680 Speaker 7: they don't want you to go anywhere, just stay put. 484 00:24:42,000 --> 00:24:44,000 Speaker 6: That way they can control you. 485 00:24:44,440 --> 00:24:46,760 Speaker 4: I think you may be onto something here because the 486 00:24:46,760 --> 00:24:49,960 Speaker 4: TSA lines flying right now is be totally miserable long 487 00:24:50,000 --> 00:24:53,320 Speaker 4: lines for TSA driving right now, totally miserable on your 488 00:24:53,359 --> 00:24:55,720 Speaker 4: finances because we're paying almost four dollars and ten cents 489 00:24:55,760 --> 00:24:57,320 Speaker 4: for a gallon of gas here in Indiana. 490 00:24:57,960 --> 00:25:01,000 Speaker 7: So there was a well known Indianapolis road side statue 491 00:25:01,200 --> 00:25:05,000 Speaker 7: called Mister Bendo. It was damaged after a vehicle hit it. 492 00:25:05,200 --> 00:25:08,240 Speaker 7: This happened in the early morning of March twenty second, 493 00:25:08,359 --> 00:25:10,879 Speaker 7: the city's west side along sixteenth Street. 494 00:25:11,400 --> 00:25:14,600 Speaker 6: Stuff like this feels small, but you know, it's kind. 495 00:25:14,520 --> 00:25:18,040 Speaker 7: Of part of a bigger issue about basic respect for 496 00:25:18,440 --> 00:25:25,680 Speaker 7: communities and what people use as identifying markers within the community. 497 00:25:25,800 --> 00:25:29,680 Speaker 7: Apparently it was a hit and run too. The statue 498 00:25:29,760 --> 00:25:33,480 Speaker 7: is expected to be repaired and make a full recovery. 499 00:25:33,880 --> 00:25:38,600 Speaker 7: But it is one of those nostalgic, iconic indie roadside 500 00:25:38,640 --> 00:25:40,840 Speaker 7: attractions that everybody is used to seeing. 501 00:25:40,960 --> 00:25:43,919 Speaker 4: Yeah, and I always love, you know, that type of 502 00:25:43,960 --> 00:25:46,480 Speaker 4: marketing where a business puts some sort of huge statue 503 00:25:46,520 --> 00:25:48,760 Speaker 4: that represents their business out in front and it sits 504 00:25:48,760 --> 00:25:51,440 Speaker 4: there for years. Probably especially nationally, the best known is 505 00:25:51,480 --> 00:25:53,960 Speaker 4: the Big Boy, and then you'd hear every now and 506 00:25:54,000 --> 00:25:56,080 Speaker 4: then that somebody would, you know, steal the Big Boy, 507 00:25:56,160 --> 00:25:58,000 Speaker 4: and then it would get returned a week later. But 508 00:25:58,560 --> 00:26:00,960 Speaker 4: if you think about it, there's actually a ton of them. Yeah, 509 00:26:01,000 --> 00:26:04,000 Speaker 4: mister Bendo, you got to build Big Boy. Wilson's Farm 510 00:26:04,040 --> 00:26:06,040 Speaker 4: Market up on thirty one North. They had that big 511 00:26:06,119 --> 00:26:07,960 Speaker 4: rooster out there for a long time, and now I 512 00:26:08,000 --> 00:26:11,080 Speaker 4: know they've got like this twenty foot you know, corn 513 00:26:11,280 --> 00:26:14,240 Speaker 4: stalk of corn statue or ear of corn statue that's 514 00:26:14,280 --> 00:26:18,320 Speaker 4: up there. Timberline Lounge in Muncie has the twenty five 515 00:26:18,359 --> 00:26:20,679 Speaker 4: foot Paul Bunyan out in front of it. You and 516 00:26:20,760 --> 00:26:23,400 Speaker 4: I have been to Mentone, Indiana. 517 00:26:23,600 --> 00:26:26,000 Speaker 6: The world's largest egg, the world's largest egg. 518 00:26:26,040 --> 00:26:29,160 Speaker 4: They've got this massive egg statue in Mentone, Indiana because 519 00:26:29,160 --> 00:26:30,520 Speaker 4: there's a lot of egg farmers up there. 520 00:26:30,560 --> 00:26:32,720 Speaker 6: But it's the huge rocking chair that was on thirty 521 00:26:32,720 --> 00:26:33,240 Speaker 6: one North. 522 00:26:33,840 --> 00:26:35,840 Speaker 4: There's that too. Yeah, that was on thirty one North. 523 00:26:35,840 --> 00:26:37,600 Speaker 4: If you're driving north on thirty one, it'd be on 524 00:26:37,600 --> 00:26:38,560 Speaker 4: your right side of the road. 525 00:26:38,600 --> 00:26:40,280 Speaker 1: I think it was just past Kocomo. 526 00:26:40,520 --> 00:26:44,520 Speaker 4: Yeah, probably for Grissom, Yeah, before Grissom Airbase. I haven't 527 00:26:44,560 --> 00:26:45,919 Speaker 4: been that way in a long time. I don't know 528 00:26:45,920 --> 00:26:47,520 Speaker 4: if it's still there. I hope it is still there. 529 00:26:47,560 --> 00:26:50,280 Speaker 4: But I am very nostalgic for these types of big 530 00:26:50,320 --> 00:26:52,520 Speaker 4: statues that get put out in front of businesses. And 531 00:26:53,480 --> 00:26:56,280 Speaker 4: I'm glad to hear that mister Bendo will be getting repaired. 532 00:26:56,320 --> 00:26:59,280 Speaker 7: You going to make a full recovery, and Indianapolis we 533 00:26:59,280 --> 00:27:03,080 Speaker 7: can all exhale. Well, he's gonna be okay. So Jimmy 534 00:27:03,119 --> 00:27:08,639 Speaker 7: Kimmel said something absolutely ridiculous. I know you're not surprised 535 00:27:08,640 --> 00:27:12,439 Speaker 7: by that, but he thinks that being a plumber is 536 00:27:12,600 --> 00:27:14,359 Speaker 7: actually a punchline. 537 00:27:14,640 --> 00:27:18,119 Speaker 2: Rivers Lani might not be with us much longer, but 538 00:27:19,520 --> 00:27:22,800 Speaker 2: Dull Waring Trumb's got a whole new generation of thinkers 539 00:27:22,800 --> 00:27:27,119 Speaker 2: lined up, including his newly confirmed Secretary of Homeland Security, 540 00:27:27,520 --> 00:27:30,800 Speaker 2: Mark Wayne, Chuck, Mike Bruce, Dave, Meet Mullen. 541 00:27:31,840 --> 00:27:32,840 Speaker 1: Maybe Mellon's better. 542 00:27:32,880 --> 00:27:36,320 Speaker 11: He is the now former Senator of Oklahoma. Before he 543 00:27:36,359 --> 00:27:39,320 Speaker 11: was elected to the Senate, Mark Wayne Mullen was a 544 00:27:39,440 --> 00:27:42,200 Speaker 11: low level MMA fighter and a plumber. 545 00:27:42,480 --> 00:27:42,920 Speaker 1: That's right. 546 00:27:42,960 --> 00:27:46,120 Speaker 11: We have a plumber protecting us from terrorism. 547 00:27:46,240 --> 00:27:50,200 Speaker 1: Now I work for Super Mario. Why not Mark Wayne's. 548 00:27:51,119 --> 00:27:54,440 Speaker 7: So that is elitism of Hollywood right there. 549 00:27:54,760 --> 00:27:55,680 Speaker 6: In one segment. 550 00:27:56,240 --> 00:27:59,359 Speaker 7: To set the record straight, Mark Wayne Mullen, he dropped 551 00:27:59,359 --> 00:28:01,359 Speaker 7: out of college when he was twenty years old to 552 00:28:01,440 --> 00:28:05,400 Speaker 7: save his family's business when his father got sick, and 553 00:28:05,440 --> 00:28:09,000 Speaker 7: he ended up turning it into a multi million dollar 554 00:28:09,119 --> 00:28:13,280 Speaker 7: company with one hundred and fifty employees. That's actually a 555 00:28:13,320 --> 00:28:16,679 Speaker 7: success story, and Jimmy Kimmel takes it as a moment 556 00:28:17,080 --> 00:28:19,000 Speaker 7: to rip on people who are in the trades. 557 00:28:19,160 --> 00:28:20,879 Speaker 4: Casey, and this is what we've talked about on the 558 00:28:20,920 --> 00:28:23,880 Speaker 4: show for a long time. It is the conversation isn't 559 00:28:23,920 --> 00:28:27,520 Speaker 4: left versus right anymore. It's not Democrat versus Republican anymore. 560 00:28:27,800 --> 00:28:30,840 Speaker 4: It is us versus the elites. And did Jimmy Kimmel 561 00:28:30,920 --> 00:28:35,240 Speaker 4: put that on full display on his show talking down? 562 00:28:35,400 --> 00:28:38,840 Speaker 4: Oh we've got a plumber now that's running our security 563 00:28:38,880 --> 00:28:41,600 Speaker 4: for our whole country. What an elitist d bag. I 564 00:28:41,600 --> 00:28:45,240 Speaker 4: don't care whether it's financial elites, or government elites or 565 00:28:45,280 --> 00:28:48,640 Speaker 4: Hollywood elites. That's the battle that we're facing right now. 566 00:28:48,640 --> 00:28:52,800 Speaker 4: It is average, everyday Americans versus these elitists like Jimmy 567 00:28:52,840 --> 00:28:55,440 Speaker 4: Kimmel who sit there and talk down to somebody who 568 00:28:55,480 --> 00:28:59,200 Speaker 4: is a very successful small businessman in his community. In fact, 569 00:28:59,200 --> 00:29:01,480 Speaker 4: the business that implay to one hundred and fifty people he. 570 00:29:01,520 --> 00:29:02,080 Speaker 1: Built at Able. 571 00:29:02,200 --> 00:29:05,360 Speaker 7: He built it from six people into a multi million 572 00:29:05,400 --> 00:29:09,080 Speaker 7: dollar h fat company with one hundred and fifty employees. 573 00:29:09,560 --> 00:29:11,640 Speaker 6: Sneering at a trades person. 574 00:29:12,000 --> 00:29:14,239 Speaker 7: It's one of the most out of touch things in 575 00:29:14,280 --> 00:29:15,480 Speaker 7: American politics. 576 00:29:15,520 --> 00:29:17,600 Speaker 6: I mean, think about that. Who is Jimmy Kimmel. 577 00:29:18,280 --> 00:29:22,080 Speaker 7: He's a guy who has people writing his jokes for him, 578 00:29:22,480 --> 00:29:26,640 Speaker 7: and he's picking on a guy who is actually servicing 579 00:29:27,160 --> 00:29:30,880 Speaker 7: customers with things real problems plumbing. 580 00:29:30,760 --> 00:29:33,720 Speaker 6: HVAC, electricity. I mean, those are things that you. 581 00:29:33,720 --> 00:29:37,320 Speaker 7: Really need to live your life versus a stupid joke 582 00:29:37,400 --> 00:29:39,160 Speaker 7: that somebody else wrote for him. 583 00:29:39,320 --> 00:29:40,720 Speaker 1: Casey, Yeah. 584 00:29:40,720 --> 00:29:45,600 Speaker 4: I mean, comedians and Hollywood are very important to the 585 00:29:45,680 --> 00:29:49,480 Speaker 4: average Americans' lives. Just ask the actors and comedians. They'll 586 00:29:49,480 --> 00:29:51,760 Speaker 4: tell you how much and how important they are to 587 00:29:51,800 --> 00:29:52,680 Speaker 4: everybody's lives. 588 00:29:52,760 --> 00:29:54,880 Speaker 7: I mean he's he's ripping on people who keep the 589 00:29:54,960 --> 00:29:58,600 Speaker 7: lights on, who fix the pipes, who run age fat companies. 590 00:29:59,000 --> 00:30:02,040 Speaker 7: Those are the people you won in Washington, people with 591 00:30:02,280 --> 00:30:04,280 Speaker 7: real world experience. 592 00:30:04,480 --> 00:30:06,480 Speaker 4: Yeah, this blew up in Kimmel's face. It was all 593 00:30:06,520 --> 00:30:08,600 Speaker 4: over social media and people are dogging them, as they 594 00:30:08,680 --> 00:30:09,200 Speaker 4: rightly should. 595 00:30:09,240 --> 00:30:10,920 Speaker 1: But this is what Hollywood thinks of you. 596 00:30:11,280 --> 00:30:13,680 Speaker 4: This is what Hollywood thinks of the average American work 597 00:30:13,720 --> 00:30:15,960 Speaker 4: or whether you're a plumber or nurse or a school 598 00:30:16,000 --> 00:30:19,280 Speaker 4: teacher or you were construction or whatever, they think less 599 00:30:19,320 --> 00:30:19,560 Speaker 4: of you. 600 00:30:19,760 --> 00:30:20,880 Speaker 6: They think they're better than you. 601 00:30:20,960 --> 00:30:22,200 Speaker 1: Absolutely they do. 602 00:30:22,280 --> 00:30:24,800 Speaker 4: And there's a leitist when it comes to finances and 603 00:30:24,800 --> 00:30:26,720 Speaker 4: there's a leadist when it comes to government, there's a 604 00:30:26,760 --> 00:30:29,480 Speaker 4: leadist when it comes to everywhere. In education, those are 605 00:30:29,480 --> 00:30:32,240 Speaker 4: some of the worst elitists in education. And they all 606 00:30:32,360 --> 00:30:36,880 Speaker 4: think less of you and better of them, mostly because 607 00:30:36,880 --> 00:30:40,120 Speaker 4: of where you live, your politics, what sort of job you, 608 00:30:40,160 --> 00:30:42,239 Speaker 4: what do you do for a living, absolutely all of 609 00:30:42,280 --> 00:30:44,600 Speaker 4: those things, and they just think they are better than you, 610 00:30:44,680 --> 00:30:47,160 Speaker 4: smarter in you. And by the way, you're dumb because 611 00:30:47,200 --> 00:30:49,680 Speaker 4: you're a plumber. You're dumb because you live in Indiana. 612 00:30:49,720 --> 00:30:51,960 Speaker 4: You're dumb because you voted for Donald Trump. 613 00:30:52,000 --> 00:30:53,080 Speaker 1: And I'm the smart one. 614 00:30:53,160 --> 00:30:56,720 Speaker 7: And when AI does take over, guess what those are 615 00:30:56,720 --> 00:30:59,240 Speaker 7: the jobs everybody's going to be running to it. Well, 616 00:30:59,320 --> 00:31:02,480 Speaker 7: Vince Vaughn had a rebuttal to it, and we'll get 617 00:31:02,520 --> 00:31:05,560 Speaker 7: to that coming up. You're listening to ninety three WYBC. 618 00:31:12,080 --> 00:31:12,560 Speaker 1: Good morning. 619 00:31:12,600 --> 00:31:15,240 Speaker 6: You're listening to Casey and Jim on ninety three WIBC. 620 00:31:15,480 --> 00:31:17,680 Speaker 7: Just moments ago, we were talking about how Jimmy Kimmel 621 00:31:17,760 --> 00:31:22,240 Speaker 7: was mocking Mark Wayne Mullin for being a plumber and 622 00:31:22,400 --> 00:31:26,640 Speaker 7: completely missing the mark, completely out of touch with most 623 00:31:26,680 --> 00:31:32,280 Speaker 7: Americans and their politics, and actor Vince Vaughan he had 624 00:31:32,280 --> 00:31:35,560 Speaker 7: a rebuttal to that he was blasting late night shows, 625 00:31:36,200 --> 00:31:39,760 Speaker 7: and he called out the late night comedians, saying, people 626 00:31:39,800 --> 00:31:42,680 Speaker 7: like Jimmy Kimmel and Stephen Colbert and all the others, 627 00:31:43,000 --> 00:31:46,560 Speaker 7: it's all the same show and it's no longer funny. 628 00:31:46,920 --> 00:31:48,959 Speaker 6: This is how it went when he was on with 629 00:31:49,080 --> 00:31:49,680 Speaker 6: THEO Vaughn. 630 00:31:50,320 --> 00:31:53,000 Speaker 12: But see, they never get it right. The podcasts have 631 00:31:53,080 --> 00:31:57,520 Speaker 12: gotten so much more popular with less production, less writers 632 00:31:57,680 --> 00:31:59,800 Speaker 12: left staff two. 633 00:32:00,040 --> 00:32:01,360 Speaker 1: And you and both of them are hung over. The 634 00:32:01,480 --> 00:32:03,320 Speaker 1: one guy is shingles, but the place is clean. 635 00:32:03,480 --> 00:32:05,200 Speaker 12: I like that you keep a clean planking. Yeah, we 636 00:32:05,200 --> 00:32:09,280 Speaker 12: did a vacuum, but but yeah, because people want authenticity, 637 00:32:09,560 --> 00:32:12,000 Speaker 12: and I think that I think that the talk shows 638 00:32:12,040 --> 00:32:15,840 Speaker 12: to a large part, became really agenda based. They were 639 00:32:15,880 --> 00:32:18,280 Speaker 12: going to evangelical people to what they thought, you know 640 00:32:18,280 --> 00:32:20,960 Speaker 12: what I mean, And so people just rejected it because 641 00:32:20,960 --> 00:32:22,959 Speaker 12: it didn't feel authentic. It felt like they had an 642 00:32:22,960 --> 00:32:25,920 Speaker 12: agenda and it's not being funny, and it started feeling 643 00:32:26,000 --> 00:32:28,240 Speaker 12: like I was a class I didn't want to take. 644 00:32:28,320 --> 00:32:29,360 Speaker 1: But if you look at what happened to. 645 00:32:29,360 --> 00:32:31,800 Speaker 12: The talk shows and why their ratings are low, it's 646 00:32:31,840 --> 00:32:34,080 Speaker 12: got only to do with the fact of what you 647 00:32:34,120 --> 00:32:36,600 Speaker 12: just said, which is they all became the same show, 648 00:32:37,280 --> 00:32:40,400 Speaker 12: and they all became so about their politics and who's 649 00:32:40,440 --> 00:32:42,840 Speaker 12: good and who's bad. And it's like, imagine sitting next 650 00:32:42,840 --> 00:32:46,080 Speaker 12: to someone like that on a plane. Oh bro, you'd 651 00:32:46,120 --> 00:32:47,600 Speaker 12: be like, how do I get out of this? 652 00:32:48,040 --> 00:32:49,680 Speaker 1: A fart right next to. 653 00:32:51,080 --> 00:32:53,840 Speaker 12: You fought your way out of it. 654 00:32:54,000 --> 00:32:58,320 Speaker 6: Oh skunk, Skunk's the king of the jungle. 655 00:32:59,360 --> 00:33:02,680 Speaker 7: He being funny, and it started feeling like he was 656 00:33:02,720 --> 00:33:04,960 Speaker 7: taking a class that he didn't want to take. So 657 00:33:05,120 --> 00:33:07,880 Speaker 7: Vince Vaughn's saying what half of Americans have been thinking 658 00:33:07,920 --> 00:33:11,000 Speaker 7: for ten years. Late Night stopped being about comedy and 659 00:33:11,040 --> 00:33:14,280 Speaker 7: it became more of a nightly DNC press briefing. You 660 00:33:14,320 --> 00:33:18,080 Speaker 7: could predict the punchlines even before the monologue started. 661 00:33:18,160 --> 00:33:21,440 Speaker 6: That's not a show anymore, that is just talking points. 662 00:33:21,480 --> 00:33:24,760 Speaker 1: Well, and it didn't always It wasn't always that way. 663 00:33:24,880 --> 00:33:25,440 Speaker 1: Think back to. 664 00:33:25,360 --> 00:33:27,360 Speaker 4: When Bill Clinton was in office in the late nineties 665 00:33:27,360 --> 00:33:30,440 Speaker 4: and the Monoca Lewinsky scandal. All the late night talk 666 00:33:30,480 --> 00:33:33,320 Speaker 4: showers were making Bill Clinton jokes. Saturday Night Live was 667 00:33:33,400 --> 00:33:36,200 Speaker 4: making Bill Clinton jokes even though he was a Democrat. 668 00:33:36,280 --> 00:33:37,200 Speaker 1: Everybody was doing it. 669 00:33:37,240 --> 00:33:39,360 Speaker 4: And by the way, the Lewinsky scandal was a big 670 00:33:39,360 --> 00:33:42,240 Speaker 4: thing people were talking about how, you know, Clinton might 671 00:33:42,280 --> 00:33:44,600 Speaker 4: have to resign, He was impeached over it, all of 672 00:33:44,640 --> 00:33:46,320 Speaker 4: these sort of things. This wasn't just some sort of 673 00:33:46,360 --> 00:33:48,080 Speaker 4: you know, run of the mill scandal. It was a 674 00:33:48,120 --> 00:33:52,120 Speaker 4: really big deal and all of Hollywood were able to poke. 675 00:33:51,960 --> 00:33:52,880 Speaker 1: Fund at a Democrat. 676 00:33:53,120 --> 00:33:56,080 Speaker 4: You didn't see any of that for certainly not for 677 00:33:56,160 --> 00:33:58,520 Speaker 4: Barack Obama, and you didn't see any of it under 678 00:33:58,600 --> 00:34:02,200 Speaker 4: Joe Biden. Things change. Trump broke them. It's been ten 679 00:34:02,280 --> 00:34:04,320 Speaker 4: years now since Trump, you know, won his first term 680 00:34:04,320 --> 00:34:09,600 Speaker 4: in office. Trump absolutely broke Hollywood and it changed then. 681 00:34:09,800 --> 00:34:11,799 Speaker 4: And then it was oh no, no, no, no, this has 682 00:34:11,840 --> 00:34:15,000 Speaker 4: got to be a political It was politics over comedy 683 00:34:15,040 --> 00:34:17,040 Speaker 4: at that point, and that's when everything went downhill. 684 00:34:17,120 --> 00:34:19,239 Speaker 7: Well it was the same jokes, the same politics, the 685 00:34:19,280 --> 00:34:23,160 Speaker 7: same smug tone, and the ratings are taking and yet 686 00:34:23,200 --> 00:34:25,080 Speaker 7: they still don't get it. 687 00:34:25,600 --> 00:34:27,640 Speaker 4: Well they don't care because again they're not in it 688 00:34:27,680 --> 00:34:29,399 Speaker 4: for ratings, they're not in it for the money. They've 689 00:34:29,400 --> 00:34:31,600 Speaker 4: got all the money they can spend in a lifetime. Anyway, 690 00:34:31,600 --> 00:34:33,879 Speaker 4: These are people that are you know, Hollywood elitists. They've 691 00:34:33,880 --> 00:34:36,040 Speaker 4: got everything they need. So now when you've got that, 692 00:34:36,360 --> 00:34:38,440 Speaker 4: it's politics is more than anything. We're going to make 693 00:34:38,480 --> 00:34:40,920 Speaker 4: fun of Trump voters and Trump and we're going to 694 00:34:41,080 --> 00:34:44,680 Speaker 4: you know, belittle those people by you know, you know, 695 00:34:44,800 --> 00:34:47,560 Speaker 4: talking about Mark Wayne mullinby and the DHS secretary and 696 00:34:47,560 --> 00:34:49,799 Speaker 4: we got a plumber running things now. They're going to 697 00:34:49,840 --> 00:34:53,839 Speaker 4: denigrate everybody only to push their political agenda. 698 00:34:53,920 --> 00:34:58,360 Speaker 7: So while Congress can't fix the funding of TSA, Elon 699 00:34:58,480 --> 00:35:02,560 Speaker 7: Musk is literally tunneling under American cities to try and 700 00:35:02,600 --> 00:35:05,200 Speaker 7: fix traffic. You've got one guy out here trying to 701 00:35:05,239 --> 00:35:09,120 Speaker 7: solve infrastructure problems while the rest of the five hundred 702 00:35:09,120 --> 00:35:13,040 Speaker 7: plus people in Washington can't agree on fixing anything. It 703 00:35:13,120 --> 00:35:17,120 Speaker 7: was announced that Elon Musk's The Boring Company, is pushing 704 00:35:17,160 --> 00:35:21,560 Speaker 7: to expand its underground tunnel systems in more US cities. 705 00:35:21,640 --> 00:35:26,200 Speaker 7: And the idea is to build small car sized tunnels underground. 706 00:35:26,400 --> 00:35:33,040 Speaker 7: And he's he's listed the cities and they were Baltimore, Louisiana, 707 00:35:33,640 --> 00:35:36,160 Speaker 7: and I believe Dallas was the other. 708 00:35:36,040 --> 00:35:38,880 Speaker 1: One, New Orleans Baltimore being. 709 00:35:38,680 --> 00:35:44,600 Speaker 7: Considered as well. So the Boring Company boring and name 710 00:35:44,719 --> 00:35:47,040 Speaker 7: only underground tunnels. 711 00:35:46,600 --> 00:35:49,319 Speaker 6: In these areas. That's good. That's going to be a 712 00:35:49,320 --> 00:35:51,720 Speaker 6: long term project. I question New Orleans. 713 00:35:51,840 --> 00:35:54,360 Speaker 7: I mean, there's a reason that people in New Orleans 714 00:35:54,360 --> 00:35:55,760 Speaker 7: are buried above ground. 715 00:35:56,120 --> 00:35:59,000 Speaker 6: Yeah, that seems like that's that's going to be quite 716 00:35:59,000 --> 00:35:59,440 Speaker 6: a project. 717 00:35:59,520 --> 00:36:01,360 Speaker 4: Yeah, they got a high water table in New Orleans. 718 00:36:01,360 --> 00:36:04,040 Speaker 4: Just look at Hurricane Katrina, and yes, their cemeteries bury 719 00:36:04,080 --> 00:36:06,919 Speaker 4: people above ground because there is such a high water 720 00:36:07,000 --> 00:36:09,080 Speaker 4: table there. But this is this is not new, and 721 00:36:09,320 --> 00:36:12,080 Speaker 4: this is for transportation. I mean, that's what it's designed for. 722 00:36:12,400 --> 00:36:14,560 Speaker 4: And he's already got his proof of concept because he's 723 00:36:14,800 --> 00:36:17,560 Speaker 4: done this in Las Vegas and it's been operating underneath 724 00:36:17,600 --> 00:36:19,680 Speaker 4: the strip for years. And in fact, Las Vegas just 725 00:36:19,719 --> 00:36:23,680 Speaker 4: approved sixty eight more miles of tunnels connecting the airport 726 00:36:23,719 --> 00:36:26,000 Speaker 4: and a whole bunch of other locations. I love Elon 727 00:36:26,080 --> 00:36:27,920 Speaker 4: Musk because he sits there and he's like, you know what, 728 00:36:27,920 --> 00:36:30,520 Speaker 4: what's the creative solution. How can we fix this? Let's 729 00:36:30,520 --> 00:36:31,680 Speaker 4: go underground. 730 00:36:32,280 --> 00:36:35,160 Speaker 7: Coming up next, Nikki Kelly from Indiana Capitol Chronicle is 731 00:36:35,160 --> 00:36:35,759 Speaker 7: going to join us. 732 00:36:35,760 --> 00:36:36,840 Speaker 6: We're going to talk about. 733 00:36:36,640 --> 00:36:41,480 Speaker 7: Trump endorsements, whole plants, and also what's going on with 734 00:36:41,520 --> 00:36:45,200 Speaker 7: the IURC that's on the way from ninety three WIDC