1 00:00:00,280 --> 00:00:02,320 Speaker 1: Friend's biggest stories of the day. 2 00:00:04,120 --> 00:00:06,000 Speaker 2: Keek, I've been playing with your emotions the last couple 3 00:00:06,000 --> 00:00:09,200 Speaker 2: of days. Yeah, I haven't. It's your president. But the 4 00:00:09,440 --> 00:00:12,600 Speaker 2: deadline for a divestiture, which is not a word I 5 00:00:12,640 --> 00:00:14,920 Speaker 2: thought I would say in the first twenty minutes or 6 00:00:15,000 --> 00:00:18,480 Speaker 2: shutdown of TikTok in the US, it's once again been extended. 7 00:00:18,520 --> 00:00:21,439 Speaker 2: The video sharing platform now has until December sixteenth to 8 00:00:21,480 --> 00:00:25,119 Speaker 2: strike a deal, per an executive order signed yesterday, and 9 00:00:25,160 --> 00:00:28,520 Speaker 2: the White House said a framework to spin off TikTok's 10 00:00:28,600 --> 00:00:31,880 Speaker 2: US operations has been reached. A concept of a Plankiki. 11 00:00:32,000 --> 00:00:34,000 Speaker 3: How nice of him to at least wait till after 12 00:00:34,040 --> 00:00:34,599 Speaker 3: our birthday. 13 00:00:35,120 --> 00:00:37,600 Speaker 1: We got a concept of a plan, we got till December. 14 00:00:37,600 --> 00:00:39,360 Speaker 1: I'm cool with that, But I thought we had to solved, 15 00:00:39,400 --> 00:00:41,040 Speaker 1: and now we don't have a self. I don't know. 16 00:00:41,040 --> 00:00:42,680 Speaker 2: If I'm not listening to the iHeart radio app, I'm 17 00:00:42,720 --> 00:00:44,360 Speaker 2: on TikTok, I don't know what exactly I would do 18 00:00:44,400 --> 00:00:44,920 Speaker 2: with myself. 19 00:00:45,560 --> 00:00:47,600 Speaker 3: I now I'm with you, I know you are, and 20 00:00:47,880 --> 00:00:49,280 Speaker 3: I see you on there all the time. 21 00:00:49,360 --> 00:00:51,680 Speaker 1: I'm on there all the time. Yeah, I'm on there. 22 00:00:51,720 --> 00:00:53,680 Speaker 4: You're trying to make a little content creating career. 23 00:00:53,800 --> 00:00:56,480 Speaker 1: No, I don't like it. I don't like it. I 24 00:00:56,480 --> 00:00:59,160 Speaker 1: don't like it. I don't like it. Content creating on TikTok, 25 00:00:59,200 --> 00:01:01,320 Speaker 1: I don't. I don't enjoy it. 26 00:01:01,320 --> 00:01:04,240 Speaker 2: No, I'm on there consuming content that other people are created. 27 00:01:04,280 --> 00:01:05,000 Speaker 4: I see your videos. 28 00:01:05,000 --> 00:01:06,680 Speaker 1: I like them, Yeah, but I don't. I don't. 29 00:01:06,680 --> 00:01:08,959 Speaker 2: I feel stupid, like this is one thing, you know, 30 00:01:09,040 --> 00:01:10,560 Speaker 2: just running my mouth on this whole thing, and then 31 00:01:10,560 --> 00:01:12,360 Speaker 2: people listen and then they're having to look at me 32 00:01:12,400 --> 00:01:14,880 Speaker 2: while I'm doing stupid stuff. I don't know I'd send 33 00:01:14,920 --> 00:01:17,680 Speaker 2: for me. You guys are good at it Russia. Every 34 00:01:17,680 --> 00:01:19,000 Speaker 2: time you post, I think. 35 00:01:18,840 --> 00:01:21,679 Speaker 1: The last one got like seventeen views. That was cool. No, 36 00:01:21,680 --> 00:01:22,479 Speaker 1: but I either get. 37 00:01:22,319 --> 00:01:24,360 Speaker 2: Twenty four thousand views or I get nine under it 38 00:01:24,480 --> 00:01:27,800 Speaker 2: and I'm like, what, like, what do you mean? Like 39 00:01:27,840 --> 00:01:29,840 Speaker 2: I thought that was good, you know, and then I 40 00:01:29,959 --> 00:01:31,800 Speaker 2: check it like obsessively because I'm like, oh do I 41 00:01:32,080 --> 00:01:32,919 Speaker 2: hit with this one? 42 00:01:33,000 --> 00:01:35,160 Speaker 3: I really hit? And then no one looks at it. 43 00:01:35,240 --> 00:01:38,559 Speaker 3: You know what I say? Social media is the lottery. 44 00:01:38,720 --> 00:01:42,480 Speaker 3: It is the new lottery Sagram. Our grandparents were addicted 45 00:01:42,520 --> 00:01:44,240 Speaker 3: to the play and the lottery and all that. That's 46 00:01:44,240 --> 00:01:46,720 Speaker 3: how we are with social media and they mark in them. 47 00:01:47,080 --> 00:01:49,800 Speaker 3: They have the strategy, they control the algorithm, So. 48 00:01:49,920 --> 00:01:53,920 Speaker 2: Just keep Instagram is it's like, look who I ran into? 49 00:01:53,920 --> 00:01:55,760 Speaker 2: You run into Jesus this weekend. It's a picture of 50 00:01:55,760 --> 00:01:59,320 Speaker 2: me and hey, Suice, and then it's fourteen likes, and 51 00:01:59,360 --> 00:02:01,200 Speaker 2: then I'll take a picure sure like a water glass, 52 00:02:01,280 --> 00:02:04,600 Speaker 2: you know, because I'm feeling artsy, and you know, and 53 00:02:05,240 --> 00:02:07,680 Speaker 2: eleven thousand likes and I'm like, wait, which one is it? 54 00:02:07,800 --> 00:02:09,520 Speaker 2: The want that was right there? 55 00:02:09,919 --> 00:02:11,960 Speaker 1: They want you to obsess over hanging out with the. 56 00:02:11,880 --> 00:02:13,880 Speaker 2: Pope over the weekend. No one even liked it. And 57 00:02:13,919 --> 00:02:17,160 Speaker 2: then you know, it's like, I don't I don't even know, 58 00:02:17,280 --> 00:02:20,360 Speaker 2: like me standing there doing nothing, and then everyone it's 59 00:02:20,360 --> 00:02:23,640 Speaker 2: hard to know. Yep, it's hard to know. Some Tesla 60 00:02:23,680 --> 00:02:27,400 Speaker 2: owners say the company's full self driving FSD software can 61 00:02:27,440 --> 00:02:30,600 Speaker 2: struggle with railroad crossing to Multiple drivers report that they're 62 00:02:30,639 --> 00:02:34,680 Speaker 2: Teslas be able to recognize lowered crossing arms or flashing lights. 63 00:02:34,720 --> 00:02:36,480 Speaker 2: In one case, the driver had to slam on the 64 00:02:36,480 --> 00:02:38,480 Speaker 2: brakes to avoid a collision. God forbid, you'd have to 65 00:02:38,480 --> 00:02:41,040 Speaker 2: pay attention to your surroundings. But I would think that 66 00:02:41,040 --> 00:02:42,840 Speaker 2: would be sort of one of the top things that 67 00:02:42,880 --> 00:02:45,919 Speaker 2: we would work on, you know, at Tesla, And I'm 68 00:02:45,919 --> 00:02:47,480 Speaker 2: not smart enough to work at Tesla, but I would 69 00:02:47,480 --> 00:02:48,799 Speaker 2: think that, you know, as as far as the self 70 00:02:48,880 --> 00:02:51,120 Speaker 2: driving is concerned, we might we might say, hey, let's 71 00:02:51,160 --> 00:02:53,639 Speaker 2: not hit o the cars first, like, let's not hit 72 00:02:53,720 --> 00:02:56,079 Speaker 2: the people for you know. Second, let's not run any 73 00:02:56,120 --> 00:02:58,480 Speaker 2: kind of lights. That would be third, I would think, 74 00:02:58,800 --> 00:03:00,480 Speaker 2: you know, and then let's make sure that the trains 75 00:03:00,520 --> 00:03:03,160 Speaker 2: coming to the car stops right because we all know that, 76 00:03:03,280 --> 00:03:05,760 Speaker 2: you know, Kiki and her Tesla is watching TikTok right now, 77 00:03:05,760 --> 00:03:07,000 Speaker 2: so she's not paying any attention. 78 00:03:07,880 --> 00:03:08,400 Speaker 1: Yeah. 79 00:03:08,800 --> 00:03:11,400 Speaker 2: Another driver says that their Tesla nearly went through a 80 00:03:11,480 --> 00:03:14,880 Speaker 2: lowered crossing gate toward a moving train because the system 81 00:03:14,880 --> 00:03:18,440 Speaker 2: appeared to misinterpret the situation. We don't need misinterpretations of 82 00:03:18,520 --> 00:03:21,560 Speaker 2: situations when we're driving. These problems suggest that the FSD 83 00:03:21,680 --> 00:03:25,840 Speaker 2: can struggle in complex safety critical situations like railroad crossings. 84 00:03:26,040 --> 00:03:29,480 Speaker 2: Visual cues, gate flashing lights, and timing seem tricky. Drivers 85 00:03:29,480 --> 00:03:32,400 Speaker 2: are having to intervene manually to avoid collisions. 86 00:03:32,440 --> 00:03:33,840 Speaker 1: Yes, you have to drive the cars. 87 00:03:33,600 --> 00:03:38,360 Speaker 2: Sometimes, which I know can be annoying. So this is 88 00:03:38,360 --> 00:03:40,240 Speaker 2: for you, you know, I like to I curate these stories 89 00:03:40,280 --> 00:03:41,040 Speaker 2: for the people who are here. 90 00:03:41,240 --> 00:03:41,680 Speaker 1: I appreciate. 91 00:03:41,720 --> 00:03:44,040 Speaker 2: And since there's only two of you, that three, I 92 00:03:44,040 --> 00:03:47,360 Speaker 2: got one for Shelley here somewhere. It's about It's about 93 00:03:47,400 --> 00:03:49,880 Speaker 2: wheat grass and eating bushes and things. 94 00:03:51,640 --> 00:03:53,800 Speaker 1: No. I mean, like back when Shelley was. 95 00:03:53,800 --> 00:03:55,720 Speaker 2: Single, we usually hang out, like going a little like 96 00:03:55,760 --> 00:03:57,680 Speaker 2: a little walks and stuff and like talk about life. 97 00:03:57,760 --> 00:03:59,240 Speaker 1: We used to do that. A lot of people don't 98 00:03:59,240 --> 00:04:00,880 Speaker 1: know that friendship we used. 99 00:04:00,920 --> 00:04:02,880 Speaker 2: We used to do them and uh, we'd go talk 100 00:04:02,920 --> 00:04:06,040 Speaker 2: about life and and we'd have to eat. We'd have 101 00:04:06,080 --> 00:04:08,880 Speaker 2: to go to like salad restaurants only like you know 102 00:04:08,960 --> 00:04:10,800 Speaker 2: places where like there was you know, they grew it 103 00:04:10,880 --> 00:04:12,120 Speaker 2: there or something, you know what I mean. 104 00:04:13,320 --> 00:04:14,600 Speaker 1: And it was quite the experience. 105 00:04:14,680 --> 00:04:18,000 Speaker 2: Yeah, it was like no dairy no, well, no, you 106 00:04:18,000 --> 00:04:20,239 Speaker 2: could have a meat. There could be a RIBI involved, 107 00:04:20,240 --> 00:04:22,760 Speaker 2: like the biggest stake you've ever seen. We could have that. Yeah, 108 00:04:22,880 --> 00:04:27,080 Speaker 2: but then no stars, no this, no that, No sugar, 109 00:04:27,240 --> 00:04:30,359 Speaker 2: no gluten, no dairy no. And then I'm like, what 110 00:04:30,480 --> 00:04:32,160 Speaker 2: happened Shelley if you and she's like you don't want 111 00:04:32,160 --> 00:04:34,080 Speaker 2: to know, I'm like, you're right, I don't. But a 112 00:04:34,120 --> 00:04:36,920 Speaker 2: recent study found that approximately one third of claims made 113 00:04:36,920 --> 00:04:40,520 Speaker 2: by AI search tools and deep research agents are based 114 00:04:40,680 --> 00:04:44,760 Speaker 2: are excuse me, biased, and lack support from reliable sources. 115 00:04:45,600 --> 00:04:48,000 Speaker 2: So this you think you're getting therapy from Chad GPT, 116 00:04:48,440 --> 00:04:50,080 Speaker 2: but now we don't even know where they get the 117 00:04:50,120 --> 00:04:53,360 Speaker 2: information from. A study assessed several AI search engines including 118 00:04:53,400 --> 00:04:57,480 Speaker 2: open Aiyes, GPT, blah blah blah blah, bing Chat, Perplexity, 119 00:04:58,120 --> 00:05:01,440 Speaker 2: you dot Com, who you dot, as well as deep 120 00:05:01,480 --> 00:05:05,920 Speaker 2: research agents, and the findings show that twenty three percent 121 00:05:05,920 --> 00:05:09,600 Speaker 2: of claims made by being chat were unsupported thirty one 122 00:05:09,640 --> 00:05:12,600 Speaker 2: percent by you. Basically, a lot of these things aren't 123 00:05:12,640 --> 00:05:15,480 Speaker 2: even right. The research has noted that these systems often 124 00:05:15,520 --> 00:05:21,520 Speaker 2: exhibit over confidence, weak sourcing, and confusing citation practices, leading 125 00:05:21,560 --> 00:05:26,240 Speaker 2: to a misleading interpretation of evidential rigor. I've made a 126 00:05:26,240 --> 00:05:30,600 Speaker 2: whole career out of over exhibiting confidence, week sourcing, and 127 00:05:30,760 --> 00:05:32,240 Speaker 2: confusing citation practiced. 128 00:05:32,320 --> 00:05:33,159 Speaker 1: I didn't as okay. 129 00:05:34,000 --> 00:05:39,520 Speaker 2: Online disagreements in news comment sections frequently escalate into name calling. Guys, 130 00:05:39,160 --> 00:05:40,520 Speaker 2: this is this is I don't know if you knew this, 131 00:05:40,640 --> 00:05:43,240 Speaker 2: but we had to research this. We had to research 132 00:05:43,320 --> 00:05:46,679 Speaker 2: this is another piece of research that you can't trust. AI, 133 00:05:47,040 --> 00:05:48,680 Speaker 2: And I don't know if you knew this, but if 134 00:05:48,720 --> 00:05:51,640 Speaker 2: you say something that someone doesn't agree with, they'll go 135 00:05:51,680 --> 00:05:53,600 Speaker 2: in the comment section and say bad things about you. 136 00:05:53,720 --> 00:05:55,080 Speaker 2: They need research to do this. 137 00:05:55,600 --> 00:05:55,800 Speaker 1: Yeah. 138 00:05:55,839 --> 00:05:58,600 Speaker 2: Research has found that a significant portion of online interactions 139 00:05:58,640 --> 00:06:02,200 Speaker 2: devolves into insult with users often resorting to personal and 140 00:06:02,279 --> 00:06:05,640 Speaker 2: tax instead of meaningful discussions. This trend highlights the challenges 141 00:06:05,680 --> 00:06:09,599 Speaker 2: of maintaining respectful discourse in digital spaces. Well, of course 142 00:06:09,600 --> 00:06:11,560 Speaker 2: we're not going to do that because of the next line, 143 00:06:11,640 --> 00:06:16,480 Speaker 2: antibody and lack of accountability encourage hostile behavior almost Well, 144 00:06:16,520 --> 00:06:18,520 Speaker 2: I shouldn't say this. Last week when there were stuff 145 00:06:18,560 --> 00:06:20,880 Speaker 2: going on, there were people who had there. I'm like, 146 00:06:20,880 --> 00:06:23,800 Speaker 2: do you realize your name and picture are right next 147 00:06:23,800 --> 00:06:25,839 Speaker 2: to the thing you just typed on Facebook? Like? 148 00:06:25,880 --> 00:06:27,400 Speaker 1: Do you do know that? Right? 149 00:06:27,880 --> 00:06:29,880 Speaker 2: Like you know I can see your face, Like you 150 00:06:29,920 --> 00:06:32,120 Speaker 2: are not, in fact hiding behind anything. Like when you 151 00:06:32,160 --> 00:06:34,960 Speaker 2: type what you typed, it got wild one way or 152 00:06:34,960 --> 00:06:37,280 Speaker 2: the other. I'm like, oh my god, I had no idea. 153 00:06:37,360 --> 00:06:38,880 Speaker 2: I've known you for twenty years. I didn't know you 154 00:06:38,960 --> 00:06:41,520 Speaker 2: had it in you. Yep, And I learned on Facebook 155 00:06:41,560 --> 00:06:44,680 Speaker 2: my home, my hometown went crazy. My neighborhood went crazy 156 00:06:44,720 --> 00:06:48,039 Speaker 2: on Facebook. I gotta get off Facebook. What some guy 157 00:06:48,080 --> 00:06:51,320 Speaker 2: yesterday was on me on TikTok oh, God, just going 158 00:06:51,360 --> 00:06:52,719 Speaker 2: in on me. Of course it was it was an 159 00:06:52,800 --> 00:06:55,360 Speaker 2: anonymous It was, you know, a fake identity. 160 00:06:55,040 --> 00:06:56,800 Speaker 1: Is there one on you? While the guy had a 161 00:06:56,839 --> 00:06:57,360 Speaker 1: fake name. 162 00:06:57,480 --> 00:06:59,279 Speaker 2: But then it was like all it was was reposts, 163 00:06:59,320 --> 00:07:02,080 Speaker 2: So like, don't your name or your face or any 164 00:07:02,120 --> 00:07:04,200 Speaker 2: form of you know, don't don't associate yourself with you 165 00:07:04,240 --> 00:07:07,520 Speaker 2: just hating on me. But he was mad because I 166 00:07:07,640 --> 00:07:12,240 Speaker 2: was defending in ser Go yesterday that how the guy was, 167 00:07:12,280 --> 00:07:14,240 Speaker 2: like how he led and if you didn't hear it, 168 00:07:14,400 --> 00:07:16,720 Speaker 2: the guy was upset that he found out that his 169 00:07:16,760 --> 00:07:20,160 Speaker 2: wife had a side account, a secret account with money 170 00:07:20,200 --> 00:07:22,800 Speaker 2: in it, that she'd been kind of siphoning off, which 171 00:07:22,920 --> 00:07:26,040 Speaker 2: that's one thing. But then he started the conversation by saying, well, 172 00:07:26,040 --> 00:07:29,000 Speaker 2: I essentially I'm paraphrasing I have a real job and 173 00:07:29,040 --> 00:07:30,760 Speaker 2: she doesn't have one because she stays at home. 174 00:07:31,080 --> 00:07:33,600 Speaker 1: Oh And my thing to him was. 175 00:07:33,560 --> 00:07:36,560 Speaker 2: Watch out with that, because I understand that that's not 176 00:07:36,640 --> 00:07:40,720 Speaker 2: a you know, vocation, but that you know, by by 177 00:07:40,760 --> 00:07:42,920 Speaker 2: leading with that, what you're saying is I make the 178 00:07:42,920 --> 00:07:45,720 Speaker 2: money she doesn't the money's mind. That's what he was implying. 179 00:07:45,760 --> 00:07:48,400 Speaker 2: Everybody could hear that. But this moron's on there talking 180 00:07:48,440 --> 00:07:51,640 Speaker 2: about well, uh, you know, you're you're a samp and 181 00:07:51,640 --> 00:07:53,400 Speaker 2: you're this and that. I'm like, no, what I'm saying. 182 00:07:53,560 --> 00:07:55,520 Speaker 2: What I'm saying is you don't have you don't stake 183 00:07:55,560 --> 00:07:57,800 Speaker 2: one hundred percent of the claim to the income in 184 00:07:57,840 --> 00:08:00,360 Speaker 2: your family because you're the only one making the mone money. 185 00:08:00,640 --> 00:08:05,040 Speaker 2: When in a relationship, you've decided that your spouse or partner, 186 00:08:05,040 --> 00:08:07,840 Speaker 2: whoever it is, is at home, you know, taking care 187 00:08:07,880 --> 00:08:10,120 Speaker 2: of the kids and taking care of the house. And 188 00:08:10,160 --> 00:08:11,760 Speaker 2: because it's like and then his thing is, well, that's 189 00:08:11,760 --> 00:08:12,400 Speaker 2: not a job. 190 00:08:12,800 --> 00:08:15,400 Speaker 4: Really, he's able to make that money because of her 191 00:08:15,480 --> 00:08:16,200 Speaker 4: unpaid labor. 192 00:08:16,520 --> 00:08:18,040 Speaker 2: Well, see, that's what I'm saying is he has to 193 00:08:18,080 --> 00:08:20,120 Speaker 2: go to work, correct, and he gets the freedom to 194 00:08:20,320 --> 00:08:23,239 Speaker 2: And look, I'm not saying either one his contribution is important, 195 00:08:23,240 --> 00:08:25,480 Speaker 2: her contribution. But all I was saying is the way 196 00:08:25,520 --> 00:08:27,560 Speaker 2: he was coming off hot from the beginning, as they 197 00:08:27,560 --> 00:08:30,760 Speaker 2: are ago, was she shouldn't be siponing off money because 198 00:08:30,800 --> 00:08:33,400 Speaker 2: it's mine. That's what he was saying. Now, maybe she 199 00:08:33,440 --> 00:08:36,320 Speaker 2: shouldn't be sivoning off money because it's theirs that you 200 00:08:36,360 --> 00:08:39,160 Speaker 2: could make that argument, right, But when you lead with 201 00:08:39,720 --> 00:08:42,920 Speaker 2: well I have a real job, that set me off 202 00:08:42,920 --> 00:08:46,080 Speaker 2: because I'm what And then my point was okay, so 203 00:08:46,120 --> 00:08:49,280 Speaker 2: then so then you should go hire a nanny, a chef, 204 00:08:49,440 --> 00:08:53,559 Speaker 2: a driver, a clean a house cleaner, and whatever else, 205 00:08:54,000 --> 00:08:55,760 Speaker 2: because those are all the things you would need to 206 00:08:55,760 --> 00:08:58,400 Speaker 2: have if, in fact your partner were off earning her 207 00:08:58,480 --> 00:08:59,840 Speaker 2: quote unquote own money. 208 00:09:00,240 --> 00:09:00,959 Speaker 1: Well, he didn't like. 209 00:09:00,920 --> 00:09:03,480 Speaker 2: That either, And then I realized, why am I even 210 00:09:03,520 --> 00:09:05,719 Speaker 2: doing this? Why am I even having this to No. 211 00:09:05,640 --> 00:09:07,880 Speaker 4: One needs a secret account more than she does right now? 212 00:09:07,960 --> 00:09:10,240 Speaker 4: His wife, I'm sorry, whoever you are, that is so 213 00:09:10,400 --> 00:09:12,640 Speaker 4: messed up. If that's how your husband thinks in his mentality, 214 00:09:12,679 --> 00:09:14,440 Speaker 4: I hope that he changes that, because that is not 215 00:09:14,559 --> 00:09:16,280 Speaker 4: right to think about your wife, who is doing all 216 00:09:16,280 --> 00:09:19,520 Speaker 4: the unpaid labor, all the emotional labor at home. 217 00:09:19,880 --> 00:09:22,679 Speaker 2: Oh, Laurena Fred Hayter, Laurence Beck Fred needs to learn 218 00:09:22,720 --> 00:09:26,320 Speaker 2: to accept constructive criticism. Yes, because calling me names on 219 00:09:26,360 --> 00:09:30,600 Speaker 2: the internet like you do is constructive. Yeah, okay, goodness, Yeah, 220 00:09:30,640 --> 00:09:32,960 Speaker 2: we got some real idiots, We got some we got 221 00:09:33,000 --> 00:09:35,040 Speaker 2: a couple of real morons and listen. I mean honestly, 222 00:09:35,600 --> 00:09:37,480 Speaker 2: you know, but you got to reach out and make 223 00:09:37,480 --> 00:09:39,480 Speaker 2: sure you say something, you know, hiding behind the thing. 224 00:09:40,600 --> 00:09:43,439 Speaker 1: That's fine. So that was the thing. 225 00:09:43,480 --> 00:09:45,120 Speaker 2: So people get on the internet and they say whatever 226 00:09:45,160 --> 00:09:46,920 Speaker 2: they want, and then when you say, like this idiot, 227 00:09:46,960 --> 00:09:49,280 Speaker 2: when you say something back, then they get all. 228 00:09:49,520 --> 00:09:50,760 Speaker 1: It happens every day around here. 229 00:09:50,840 --> 00:09:52,880 Speaker 2: People will be like, you're an idiot, Fred, and then 230 00:09:52,880 --> 00:09:55,280 Speaker 2: I'll say something back and they'll be like, I cannot. 231 00:09:54,880 --> 00:09:57,640 Speaker 1: Believe that you would. How dare you speak to me 232 00:09:57,679 --> 00:09:58,120 Speaker 1: in this way? 233 00:09:58,720 --> 00:10:02,960 Speaker 2: Favorite it's constant, guess Letty, this person who hates us listens. 234 00:10:03,360 --> 00:10:05,400 Speaker 2: Blish's more than the people who like us, and we 235 00:10:05,440 --> 00:10:07,559 Speaker 2: appreciate it all. But she's forced to because of her carpool. 236 00:10:07,559 --> 00:10:08,920 Speaker 2: By the way, I want to thank the people in 237 00:10:08,960 --> 00:10:11,080 Speaker 2: the carpool. I don't even think that's a real story. 238 00:10:11,120 --> 00:10:12,839 Speaker 2: I think it's all fake. I want to thank the 239 00:10:12,840 --> 00:10:14,400 Speaker 2: people in the cardpool. And I want to know why 240 00:10:14,400 --> 00:10:16,800 Speaker 2: you haven't kicked this more out of the carpool, because 241 00:10:16,880 --> 00:10:19,920 Speaker 2: this person must be a miserable human being. I want 242 00:10:19,920 --> 00:10:22,000 Speaker 2: you to know a person in the carpool, they hate you, 243 00:10:22,600 --> 00:10:25,040 Speaker 2: they don't want you in the carpool. They for some reason, 244 00:10:25,040 --> 00:10:27,000 Speaker 2: they feel forced to do this to you because they 245 00:10:27,000 --> 00:10:29,360 Speaker 2: have good taste. They listen to this show. They have 246 00:10:29,440 --> 00:10:31,520 Speaker 2: good taste. You are the only one who doesn't like it, 247 00:10:31,559 --> 00:10:33,440 Speaker 2: apparently in the car. But I don't even know if 248 00:10:33,480 --> 00:10:37,000 Speaker 2: I believe that story, because I would think they would have. 249 00:10:37,000 --> 00:10:38,760 Speaker 1: Kicked your ass out by now anyway. 250 00:10:39,559 --> 00:10:42,560 Speaker 2: And there's a guy who this is kind of like 251 00:10:42,600 --> 00:10:47,560 Speaker 2: the cold play story, except not really so. During the 252 00:10:47,559 --> 00:10:51,560 Speaker 2: Tennessee Georgia college football game last weekend, which Tennessee lost 253 00:10:51,600 --> 00:10:55,319 Speaker 2: in overtime, a Knoxville native named Jeff was repeatedly shown 254 00:10:55,320 --> 00:10:58,400 Speaker 2: on the stadium JumboTron because he was having big reactions 255 00:10:58,400 --> 00:11:00,559 Speaker 2: to the game. The problem is, he hold his boss 256 00:11:00,559 --> 00:11:03,000 Speaker 2: that he was sick in order to go to the game, 257 00:11:03,400 --> 00:11:05,720 Speaker 2: so he didn't realize that he'd been shown so much 258 00:11:05,800 --> 00:11:08,959 Speaker 2: over the game. But two hundred people message him about 259 00:11:08,960 --> 00:11:10,840 Speaker 2: it because it was like they saw their buddy on TV. 260 00:11:10,880 --> 00:11:12,800 Speaker 2: Because they kept going to him because I guess he 261 00:11:12,840 --> 00:11:16,320 Speaker 2: was having big reactions. His boss saw the pictures in video, 262 00:11:17,600 --> 00:11:20,240 Speaker 2: but he'd called in sick to the game, so he's 263 00:11:20,280 --> 00:11:22,360 Speaker 2: now joking about being cold play. His over the top 264 00:11:22,400 --> 00:11:24,480 Speaker 2: reactions made him Internet famous. No word and if he 265 00:11:24,520 --> 00:11:26,600 Speaker 2: still has a job or not. But I don't know. 266 00:11:26,800 --> 00:11:28,240 Speaker 2: I would I would hope we can all sort of 267 00:11:28,320 --> 00:11:32,679 Speaker 2: joke about this, but we'll see. Maybe he's annoys right, 268 00:11:32,840 --> 00:11:34,840 Speaker 2: but I think somebody, oh some other Tennessee fan will 269 00:11:34,920 --> 00:11:38,560 Speaker 2: will hire him. It's National Professional House Cleaner's Day, which 270 00:11:38,600 --> 00:11:42,559 Speaker 2: that guy from Sarrego might need after his wife takes 271 00:11:42,600 --> 00:11:45,559 Speaker 2: all his money and divorces him. It's National Monte Cristo Day, 272 00:11:45,559 --> 00:11:47,640 Speaker 2: which is a sandwich, A delicious sandwich, by the way. 273 00:11:47,800 --> 00:11:49,680 Speaker 1: It's Constitution Day today is