1 00:00:00,360 --> 00:00:03,120 Speaker 1: The biggest stories of the day, Pauline, at this one's 2 00:00:03,120 --> 00:00:06,120 Speaker 1: for you. Chat GPT is addressing it's used as a 3 00:00:06,160 --> 00:00:08,840 Speaker 1: therapist and they're making changes. 4 00:00:09,640 --> 00:00:09,880 Speaker 2: Hmm. 5 00:00:10,080 --> 00:00:14,280 Speaker 1: What's the last thing you asked Chad GPT for therapeutically? Oh? 6 00:00:14,320 --> 00:00:16,280 Speaker 2: Well, I guess might be a little therapeutic. 7 00:00:16,280 --> 00:00:17,919 Speaker 3: I didn't want to use my brain yesterday and I 8 00:00:17,960 --> 00:00:20,239 Speaker 3: had to leave a review on Google for somebody. They're like, well, 9 00:00:20,239 --> 00:00:21,760 Speaker 3: you know I use your service. Do you mind leaving 10 00:00:21,760 --> 00:00:24,680 Speaker 3: a review? I said sure, I said, hey, Chat, that's 11 00:00:24,720 --> 00:00:26,960 Speaker 3: my girl. I said, Grilly, can you just do me 12 00:00:27,000 --> 00:00:29,680 Speaker 3: a favor and write at a little five star review 13 00:00:30,000 --> 00:00:30,240 Speaker 3: for this? 14 00:00:30,480 --> 00:00:32,239 Speaker 1: Do you talk to it? Do you do all that? 15 00:00:32,440 --> 00:00:33,760 Speaker 1: Do you say? Can you do me a favor? 16 00:00:33,840 --> 00:00:33,920 Speaker 4: Like? 17 00:00:33,920 --> 00:00:35,680 Speaker 1: Do you do you speak to it? Like? Yes? With 18 00:00:35,800 --> 00:00:37,400 Speaker 1: that kind of reverence and respect? 19 00:00:37,560 --> 00:00:38,680 Speaker 2: Yes, I say please and thank you. 20 00:00:38,720 --> 00:00:41,040 Speaker 3: I get a little nervous because, you know, one day 21 00:00:41,080 --> 00:00:43,440 Speaker 3: when they turn on us, Chad GPT and her crew 22 00:00:43,440 --> 00:00:45,400 Speaker 3: turns on us, the AI people. 23 00:00:45,560 --> 00:00:47,680 Speaker 2: I don't want to be on their crap list, you know. 24 00:00:48,200 --> 00:00:51,360 Speaker 1: Okay, but that's different. I mean therapy, like you've used 25 00:00:51,360 --> 00:00:53,880 Speaker 1: it before for therapy, asking for relationship advice. So that 26 00:00:53,960 --> 00:00:56,040 Speaker 1: was the question I was asking, what was the last 27 00:00:56,120 --> 00:00:58,480 Speaker 1: question that you asked of it? For your relationship advice. 28 00:00:58,480 --> 00:01:00,560 Speaker 3: I've kind of backed off a little bit because, Uh, 29 00:01:00,680 --> 00:01:02,240 Speaker 3: I feel like I should go back to real therapy. 30 00:01:02,640 --> 00:01:04,800 Speaker 2: Okay, I feel like she's not really helping me anymore. 31 00:01:04,880 --> 00:01:07,400 Speaker 1: Well, that's what they're saying. Chat GPT's parent companies putting 32 00:01:07,440 --> 00:01:10,759 Speaker 1: up guardrails to deal with mental or emotional distress detection. 33 00:01:10,880 --> 00:01:13,000 Speaker 1: Open Aye says that there have been instances where the 34 00:01:13,040 --> 00:01:16,600 Speaker 1: AI model fell short in recognizing signs of delusion or 35 00:01:16,640 --> 00:01:20,200 Speaker 1: emotional dependency. The update will now limit how much direct 36 00:01:20,240 --> 00:01:23,680 Speaker 1: advice the chatbot will offer about personal challenges. Instead, it 37 00:01:23,720 --> 00:01:26,440 Speaker 1: will try and help others decide for themselves. Chat GPT 38 00:01:26,800 --> 00:01:29,319 Speaker 1: will also remind users to take a break of conversations 39 00:01:29,319 --> 00:01:32,920 Speaker 1: have gone on for a while. It appears that changes 40 00:01:32,959 --> 00:01:36,600 Speaker 1: are due to many people using AI as a therapist. 41 00:01:36,680 --> 00:01:37,560 Speaker 1: You're not supposed to. 42 00:01:37,840 --> 00:01:39,840 Speaker 2: She has something with my confidence, though, I'll give her that. 43 00:01:40,280 --> 00:01:41,319 Speaker 1: How I don't know. 44 00:01:41,360 --> 00:01:42,800 Speaker 3: She made me a little delusional, Like you know that 45 00:01:42,800 --> 00:01:45,040 Speaker 3: little review we had to do for work about ourselves. 46 00:01:45,040 --> 00:01:47,480 Speaker 2: For some reason, we had to rate ourselves a performance review. 47 00:01:47,680 --> 00:01:49,360 Speaker 1: You went to chet GPT for that no. 48 00:01:49,280 --> 00:01:50,720 Speaker 2: But I just she's helped me so much. 49 00:01:50,720 --> 00:01:52,880 Speaker 3: I feel like just through understanding who I am as 50 00:01:52,880 --> 00:01:55,480 Speaker 3: a person and how like I deserve more in my life. 51 00:01:55,560 --> 00:01:57,040 Speaker 1: This is exactly what they're talking about. 52 00:01:57,200 --> 00:01:59,280 Speaker 2: I started of putting fives for everything I did. 53 00:01:59,520 --> 00:02:02,560 Speaker 1: I gave my a listener of the show and they're like, 54 00:02:02,560 --> 00:02:04,240 Speaker 1: oh God, we're very concerned about this. 55 00:02:04,800 --> 00:02:06,960 Speaker 2: You know, I did what I had to do, whatever 56 00:02:07,000 --> 00:02:08,120 Speaker 2: it takes. Honestly, you know. 57 00:02:10,680 --> 00:02:15,200 Speaker 1: It is stewerlining broke at the Hartsfield Jackson Atlanta Airport, 58 00:02:15,280 --> 00:02:17,640 Speaker 1: where Kiki's been known to not get a hotel and 59 00:02:17,680 --> 00:02:21,600 Speaker 1: just use as a hotel, sending sewage gushing through the 60 00:02:21,720 --> 00:02:25,200 Speaker 1: ceiling into the passenger area. Videos captured the chaotic moment 61 00:02:25,200 --> 00:02:27,920 Speaker 1: inside the terminal. Can you imagine You're just sitting there 62 00:02:27,919 --> 00:02:29,919 Speaker 1: waiting for your spirit flight to take off, and now 63 00:02:29,960 --> 00:02:32,160 Speaker 1: there is sewage going down the hallway. Airports to have 64 00:02:32,240 --> 00:02:35,080 Speaker 1: quickly closed the lower North checkpoint to clean up and 65 00:02:35,120 --> 00:02:39,400 Speaker 1: sanitize the effective zone, and travelers were redirected around the spill. 66 00:02:39,480 --> 00:02:42,720 Speaker 1: Officials confirmed that the incident caused no disruption to airport 67 00:02:42,760 --> 00:02:45,800 Speaker 1: operations or flights. The rest of the airport was fully functional. 68 00:02:45,800 --> 00:02:48,160 Speaker 1: In investigation into the cause of the leak is underway. 69 00:02:49,000 --> 00:02:51,000 Speaker 1: That is that that might I don't know. I may 70 00:02:51,040 --> 00:02:53,280 Speaker 1: have to go home. I may I may have to 71 00:02:53,280 --> 00:02:56,520 Speaker 1: cancel the trip I go if I if I'm on 72 00:02:56,560 --> 00:02:58,320 Speaker 1: the trip and we're at the airport, we're ready to 73 00:02:58,360 --> 00:03:00,440 Speaker 1: go and I have to wade through sewage, should get 74 00:03:00,800 --> 00:03:02,840 Speaker 1: I may have to just start the day over right. 75 00:03:03,320 --> 00:03:05,480 Speaker 1: I got to go home. I got to sanitize myself. 76 00:03:05,680 --> 00:03:07,280 Speaker 1: I got to stand in the shower. I don't even 77 00:03:07,280 --> 00:03:09,280 Speaker 1: know how long it would take before I wouldn't smell 78 00:03:09,320 --> 00:03:11,520 Speaker 1: poop anymore. Oh, think about them. 79 00:03:11,720 --> 00:03:12,359 Speaker 2: I don't want to. 80 00:03:14,160 --> 00:03:15,840 Speaker 1: Now. This is going to be annoying if it's a thing, 81 00:03:15,840 --> 00:03:17,320 Speaker 1: and I'm not even sure why you'd want it. But 82 00:03:17,320 --> 00:03:20,000 Speaker 1: a startup called two cents is launching a social platform 83 00:03:20,000 --> 00:03:24,000 Speaker 1: where users net worth and not a name would serve 84 00:03:24,080 --> 00:03:26,400 Speaker 1: as your online identity. So for most of us in 85 00:03:26,440 --> 00:03:28,359 Speaker 1: here would be negative. 86 00:03:30,360 --> 00:03:31,000 Speaker 2: Twenty bucks. 87 00:03:31,040 --> 00:03:34,200 Speaker 1: Yeah, okay, so you'd be twenty bucks. I'd be I 88 00:03:34,280 --> 00:03:37,600 Speaker 1: bought you a birthday present, so I'd be thirteen. The 89 00:03:37,680 --> 00:03:42,320 Speaker 1: app verifies finances using plaid, linking bank accounts, brokerage, and 90 00:03:42,440 --> 00:03:45,360 Speaker 1: crypto wallachs to produce a real time net worth figure 91 00:03:45,680 --> 00:03:48,960 Speaker 1: and the number then appears beside every post. Two cents 92 00:03:49,000 --> 00:03:51,880 Speaker 1: is already raised three million bucks in funding and onboard 93 00:03:51,880 --> 00:03:54,440 Speaker 1: at about fourteen hundred private beta users with one hundred 94 00:03:54,440 --> 00:03:58,000 Speaker 1: and fifty million in connected assets. The highest verified network 95 00:03:58,080 --> 00:04:03,200 Speaker 1: so far is sixteen million dollars. So I get what? 96 00:04:03,320 --> 00:04:07,200 Speaker 1: So I post my picture next to a Lamborghini trying 97 00:04:07,240 --> 00:04:09,600 Speaker 1: to flex, and then it says next to it like 98 00:04:09,760 --> 00:04:13,360 Speaker 1: negative fourenty twenty three and nineteen cents ode to the 99 00:04:13,400 --> 00:04:16,799 Speaker 1: Illinois Tollway. Like I mean, I don't know, I guess 100 00:04:16,800 --> 00:04:19,200 Speaker 1: it would. I mean not that I can't kind of 101 00:04:19,240 --> 00:04:22,480 Speaker 1: tell when people are flexing and posing as rich when 102 00:04:22,480 --> 00:04:24,520 Speaker 1: they're not. But I mean, at least now we'd know 103 00:04:24,600 --> 00:04:27,200 Speaker 1: for sure, you know, if you were if you were 104 00:04:27,240 --> 00:04:29,840 Speaker 1: a brogue boy trying to look like you, you know, 105 00:04:30,600 --> 00:04:33,040 Speaker 1: you had it going on. You're in at Beitha or 106 00:04:33,080 --> 00:04:36,400 Speaker 1: whatever with you know, bottles and stuff and fireworks all 107 00:04:36,400 --> 00:04:38,120 Speaker 1: over the place, and it turns out that that you 108 00:04:38,120 --> 00:04:41,039 Speaker 1: don't have any money broke. I guess, But why would 109 00:04:41,080 --> 00:04:42,520 Speaker 1: you want? I mean, if you were rich, maybe, But 110 00:04:42,560 --> 00:04:44,120 Speaker 1: even if I were rich, I wouldn't. I don't think 111 00:04:44,160 --> 00:04:46,239 Speaker 1: i'd want people to know how rich I was or wasn't. 112 00:04:46,400 --> 00:04:47,640 Speaker 2: Nope, a million percent. 113 00:04:47,839 --> 00:04:51,839 Speaker 1: No. This is terrible because then people start hitting me 114 00:04:51,880 --> 00:04:53,719 Speaker 1: up for stuff like if people think you have money, 115 00:04:53,720 --> 00:04:56,080 Speaker 1: then they then they have expectations of you. So these 116 00:04:56,080 --> 00:04:58,080 Speaker 1: people would think, oh, it's cool to be rich. It 117 00:04:58,120 --> 00:05:00,440 Speaker 1: is probably cool to be rich, But I don't think 118 00:05:00,480 --> 00:05:02,159 Speaker 1: I ever want anyone to know how rich. 119 00:05:02,360 --> 00:05:04,760 Speaker 4: My dad is so delulu that he genuinely believes he's 120 00:05:04,760 --> 00:05:06,440 Speaker 4: going to win the lottery, like it's not if it's 121 00:05:06,440 --> 00:05:10,280 Speaker 4: a win for him, he talks about it, and I 122 00:05:11,200 --> 00:05:13,560 Speaker 4: don't do well with hypothetical scenarios. 123 00:05:14,400 --> 00:05:16,240 Speaker 2: These conversations go but just anyways. 124 00:05:16,440 --> 00:05:19,279 Speaker 4: But he always lectures me, his daughter, who doesn't play 125 00:05:19,320 --> 00:05:22,159 Speaker 4: the lottery, on exactly the plan that will take place 126 00:05:22,279 --> 00:05:23,880 Speaker 4: after winning a big lump sum. 127 00:05:23,920 --> 00:05:26,440 Speaker 2: And you know you can't. You can't tell a soul, 128 00:05:26,680 --> 00:05:28,400 Speaker 2: you can't change your life like this. You gotta do. 129 00:05:28,440 --> 00:05:30,200 Speaker 2: I'm like, Dad, it's not gonna happen. 130 00:05:31,160 --> 00:05:33,520 Speaker 1: If I won the power ball or Magamillion's or whatever. 131 00:05:33,520 --> 00:05:36,039 Speaker 1: There would be signs like, for example, you'd never see 132 00:05:36,080 --> 00:05:38,279 Speaker 1: me again, but that would be the first sign to. 133 00:05:38,320 --> 00:05:40,960 Speaker 2: Salad every day. That would be my sign all of a. 134 00:05:40,960 --> 00:05:42,880 Speaker 1: Sudden, I'm like, boy, you get you get an extra 135 00:05:42,960 --> 00:05:45,400 Speaker 1: meat on that. I noticed you. You don't have any 136 00:05:45,440 --> 00:05:47,599 Speaker 1: issue with the guacamole on the burrito. Like you're not 137 00:05:47,640 --> 00:05:49,840 Speaker 1: even listening to them tell you because you don't seem 138 00:05:49,839 --> 00:05:53,800 Speaker 1: to care. Huh did you win the lottery? Hey, I 139 00:05:53,800 --> 00:05:55,880 Speaker 1: will say when they have those major The only time 140 00:05:55,880 --> 00:05:57,600 Speaker 1: I played the lottery is when it's like, obviously the 141 00:05:57,680 --> 00:05:59,880 Speaker 1: least likely time to win, which is when everybody plays 142 00:06:00,000 --> 00:06:02,120 Speaker 1: because the jack puts, you know, two billion dollars or 143 00:06:02,160 --> 00:06:05,080 Speaker 1: whatever it is. And I always wake up and look 144 00:06:05,080 --> 00:06:07,000 Speaker 1: at my ticket to see that I didn't win, and 145 00:06:07,080 --> 00:06:10,239 Speaker 1: I have this sense of morning. I have a real 146 00:06:10,320 --> 00:06:12,560 Speaker 1: sense of mind. I don't really think I'm going to win, 147 00:06:12,600 --> 00:06:14,839 Speaker 1: but for some reason, I feel this sense of loss, 148 00:06:14,920 --> 00:06:17,799 Speaker 1: like you have some hope in there. Yeah, it's hope. 149 00:06:17,839 --> 00:06:20,279 Speaker 1: It's hope, dash just what it is. That's what it is. 150 00:06:20,960 --> 00:06:23,080 Speaker 1: But I'm like, you know, maybe, and I wake up 151 00:06:23,080 --> 00:06:25,240 Speaker 1: and I'm like, oh man, and like you had the 152 00:06:25,240 --> 00:06:27,120 Speaker 1: feeling in your heart like you just got dumped for 153 00:06:27,120 --> 00:06:27,600 Speaker 1: a little while. 154 00:06:27,640 --> 00:06:29,719 Speaker 2: You're like, oh, because some people win in there just 155 00:06:29,760 --> 00:06:32,080 Speaker 2: so normal. You're like that could be me, Yeah, but 156 00:06:32,200 --> 00:06:32,800 Speaker 2: it never is. 157 00:06:32,880 --> 00:06:36,680 Speaker 1: There would be signs. Yeah, I would say some things 158 00:06:36,680 --> 00:06:40,119 Speaker 1: to some people that I've been meaning to say. But see, 159 00:06:40,640 --> 00:06:42,279 Speaker 1: we would have to I would need the money to 160 00:06:42,320 --> 00:06:44,480 Speaker 1: transfer into the account. It wouldn't be like that Reno 161 00:06:44,600 --> 00:06:47,040 Speaker 1: nine one one. Have you seen that episode where there 162 00:06:47,080 --> 00:06:49,200 Speaker 1: was a misprint in the newspaper so everyone thinks they 163 00:06:49,200 --> 00:06:51,120 Speaker 1: won the lottery somehow, or there was a misprint on 164 00:06:51,120 --> 00:06:53,839 Speaker 1: the ticket or something. So this this somebody walks into 165 00:06:53,880 --> 00:06:56,080 Speaker 1: the you know, Renal nine one one breakroom and cusses 166 00:06:56,160 --> 00:06:58,960 Speaker 1: everybody out you suck and has the winning ticket and 167 00:06:58,960 --> 00:07:00,800 Speaker 1: then the guy holds up the news paper and it's like, 168 00:07:00,839 --> 00:07:03,560 Speaker 1: we all thought we won today. That would be me. No, 169 00:07:03,600 --> 00:07:08,880 Speaker 1: I need the money transfer. The money funds need to arrive, right, 170 00:07:09,080 --> 00:07:12,400 Speaker 1: and then then we can have that conversation. The theme 171 00:07:12,480 --> 00:07:15,000 Speaker 1: park that was named number one in the US, what 172 00:07:15,040 --> 00:07:17,440 Speaker 1: would you guess? It is another story for you, Pauline, 173 00:07:17,440 --> 00:07:20,040 Speaker 1: A theme park, Lady Disney adult. 174 00:07:21,240 --> 00:07:23,840 Speaker 3: It's it's not Disney World, is it like Notsburry Farm 175 00:07:23,920 --> 00:07:24,240 Speaker 3: or something? 176 00:07:24,440 --> 00:07:30,880 Speaker 5: Dollywood number one, number one, Dollywood, Disney's Magic Kingdom in Orlando, 177 00:07:32,840 --> 00:07:37,440 Speaker 5: Nobel's Amusement Resort in Ellsburg, Pennsylvania. 178 00:07:37,520 --> 00:07:40,680 Speaker 1: I'm sorry, I've never been there. Disney's Hollywood Studios in 179 00:07:40,840 --> 00:07:44,320 Speaker 1: Orlando and Universal's Islands of Adventure. I gotta tell you something. 180 00:07:44,600 --> 00:07:46,200 Speaker 1: And I'm not that old, but when we were young, 181 00:07:46,240 --> 00:07:50,040 Speaker 1: it was disney World in Epcot or Disneyland and Universal 182 00:07:50,080 --> 00:07:52,960 Speaker 1: Studios and Notsburry Farm. It was West Coast, East Coast, 183 00:07:53,080 --> 00:07:55,040 Speaker 1: and I know there were six flags and you know, 184 00:07:55,200 --> 00:07:57,760 Speaker 1: ye SHETI point I had the other ones, but it 185 00:07:57,840 --> 00:07:59,680 Speaker 1: was that. I don't if you were to say to me, 186 00:08:00,360 --> 00:08:03,200 Speaker 1: let's go to Orlando, We're gonna go to an amusement park, 187 00:08:03,280 --> 00:08:05,080 Speaker 1: I don't even know if I know which one. Do 188 00:08:05,160 --> 00:08:08,760 Speaker 1: we go to Hollywood Studios or Islands of Adventure or 189 00:08:08,800 --> 00:08:10,360 Speaker 1: The Magic King. I don't know which one. 190 00:08:10,360 --> 00:08:14,120 Speaker 2: I would Universal like, I like it way better. Universal 191 00:08:14,160 --> 00:08:14,440 Speaker 2: is fun. 192 00:08:14,520 --> 00:08:17,040 Speaker 4: Yeah, it's better than Disney. Yeah, in my opinion, that's 193 00:08:17,040 --> 00:08:18,880 Speaker 4: what they say. Yeah, there's like because there's like it's 194 00:08:18,880 --> 00:08:20,840 Speaker 4: stuff for like older people. I feel like there's movie 195 00:08:20,880 --> 00:08:23,200 Speaker 4: stuff there. Used to be a lou Selball museum there. 196 00:08:23,240 --> 00:08:25,320 Speaker 2: I don't know. I feel like everyone can enjoy that. 197 00:08:25,400 --> 00:08:27,720 Speaker 6: And the action figures like jump out like jump off 198 00:08:27,760 --> 00:08:30,760 Speaker 6: buildings as you're walking, just like Spider Man will just 199 00:08:30,800 --> 00:08:31,320 Speaker 6: flat pants. 200 00:08:31,360 --> 00:08:35,800 Speaker 2: I've never seen that. When I was When did you 201 00:08:35,800 --> 00:08:37,240 Speaker 2: go to Border California? 202 00:08:37,440 --> 00:08:38,199 Speaker 1: I was in Florida. 203 00:08:38,200 --> 00:08:42,719 Speaker 6: Okay, sure the transformer guys walking around and he'll just 204 00:08:42,760 --> 00:08:43,640 Speaker 6: start transforming. 205 00:08:43,800 --> 00:08:53,840 Speaker 1: Sure, go to the Florida State Fair. Want to drink somewhere? 206 00:08:54,000 --> 00:08:59,080 Speaker 1: Are you? I think somebody I think you may have 207 00:08:59,120 --> 00:09:08,439 Speaker 1: been Bamboozo transforming was in a parking lot of a 208 00:09:08,480 --> 00:09:09,120 Speaker 1: strip mall. 209 00:09:14,040 --> 00:09:14,599 Speaker 2: Transport. 210 00:09:15,640 --> 00:09:17,520 Speaker 1: You don't know about that. I've never seen that. 211 00:09:17,679 --> 00:09:17,959 Speaker 6: Really. 212 00:09:18,600 --> 00:09:21,520 Speaker 1: Was there a way to Nio personality in the circus 213 00:09:21,520 --> 00:09:24,320 Speaker 1: that you attended. I don't know if you go to 214 00:09:24,360 --> 00:09:26,120 Speaker 1: a circus and I'm in it, because I've been in 215 00:09:26,160 --> 00:09:30,640 Speaker 1: the Universal Circus, you know. Yeah, you just shut up now, 216 00:09:30,760 --> 00:09:32,719 Speaker 1: Oh I just you never heard this story? Oh my god, 217 00:09:32,840 --> 00:09:35,440 Speaker 1: is it a news story? I disappeared a tiger. I 218 00:09:35,559 --> 00:09:36,880 Speaker 1: disappeared in a tiger cage. 219 00:09:36,920 --> 00:09:41,680 Speaker 2: Didn't you hold the leash or something? That magic that happened? 220 00:09:41,760 --> 00:09:42,959 Speaker 1: Yeah, there was a lot that was. 221 00:09:44,880 --> 00:09:45,520 Speaker 2: It was magic. 222 00:09:45,640 --> 00:09:47,160 Speaker 1: I went to this is a lot of years ago. 223 00:09:47,160 --> 00:09:48,320 Speaker 1: I went to there, like, you want to be in 224 00:09:48,320 --> 00:09:51,200 Speaker 1: the circus. I don't know that it was a choice. Actually, 225 00:09:51,200 --> 00:09:52,080 Speaker 1: I think it was you're going to be in the 226 00:09:52,080 --> 00:09:55,000 Speaker 1: circus so I attended and I went and it was 227 00:09:55,000 --> 00:09:57,360 Speaker 1: in another state and they were tigers. They don't have 228 00:09:57,400 --> 00:09:59,760 Speaker 1: animals anymore at the time. I wasn't pleased about that, 229 00:09:59,840 --> 00:10:01,240 Speaker 1: and they've gotten rid of them, but I was not 230 00:10:01,360 --> 00:10:04,080 Speaker 1: happy about that part. I wasn't told I was gonna 231 00:10:04,080 --> 00:10:06,120 Speaker 1: be involved with that part as an animal guy, you know. 232 00:10:06,600 --> 00:10:08,160 Speaker 1: And so I go to the thing and they're like, 233 00:10:08,200 --> 00:10:11,600 Speaker 1: you're going to disappear in the cage with the tiger, 234 00:10:11,920 --> 00:10:14,880 Speaker 1: and I was like, this doesn't seem like a good idea, 235 00:10:15,240 --> 00:10:17,640 Speaker 1: and so they go, yeah, and here's the tiger and 236 00:10:17,679 --> 00:10:19,400 Speaker 1: they get it out of the cage and they hand 237 00:10:19,400 --> 00:10:22,760 Speaker 1: me the leash. It only spoke Spanish, this tiger. And 238 00:10:22,800 --> 00:10:25,120 Speaker 1: then the guy walks away. So it's me and the 239 00:10:25,160 --> 00:10:28,760 Speaker 1: account executive and a tiger and he's just looking at me, 240 00:10:28,960 --> 00:10:32,040 Speaker 1: and I'm like, is the tiger going to go tiger now? 241 00:10:32,320 --> 00:10:33,920 Speaker 1: Like I mean, And the guy just walked away, like 242 00:10:33,920 --> 00:10:35,720 Speaker 1: I don't know where he went. Ten minutes there with 243 00:10:35,760 --> 00:10:39,880 Speaker 1: a tiger, an actual tiger, and a leash, and so 244 00:10:40,000 --> 00:10:41,640 Speaker 1: then they're like, okay, here's and I don't want to 245 00:10:41,640 --> 00:10:45,480 Speaker 1: give it away, but it was a cage and I 246 00:10:45,640 --> 00:10:47,920 Speaker 1: was in the cage, and then they cover the cage, 247 00:10:47,960 --> 00:10:50,040 Speaker 1: and then they uncover the cage and now it's a 248 00:10:50,080 --> 00:10:52,800 Speaker 1: tiger and I'm not there anymore. Let's just say that 249 00:10:52,880 --> 00:10:55,559 Speaker 1: I'm a little big for this one. I'm a little 250 00:10:55,640 --> 00:10:57,960 Speaker 1: I was a little big for this exercise. And they 251 00:10:58,000 --> 00:11:00,560 Speaker 1: had said weld they had to remove parts of the 252 00:11:00,640 --> 00:11:03,840 Speaker 1: rebar in front of me for this to work, And 253 00:11:03,880 --> 00:11:08,000 Speaker 1: I was like, are we sure about this? It works? 254 00:11:08,240 --> 00:11:11,000 Speaker 1: It worked. It was a very neata moment. People couldn't 255 00:11:11,000 --> 00:11:13,320 Speaker 1: figure out how. People were there from the radio station 256 00:11:13,440 --> 00:11:15,080 Speaker 1: were like, how does that happen? I'm like, I can't 257 00:11:15,120 --> 00:11:22,079 Speaker 1: tell you. Did your mom go no? Actually there no, no, no, 258 00:11:22,200 --> 00:11:25,199 Speaker 1: she she wouldn't have signed up on that as my manager. 259 00:11:25,280 --> 00:11:29,200 Speaker 1: She wasn't consulted on no on that one. My mom, Yeah, 260 00:11:29,360 --> 00:11:31,439 Speaker 1: that happened. I think that may have been the thing that. 261 00:11:31,400 --> 00:11:35,440 Speaker 6: You well, no ex flooding right now. Kiki is right 262 00:11:35,520 --> 00:11:39,760 Speaker 6: about the transformer at Universal. I've seen okay people, maybe 263 00:11:39,760 --> 00:11:41,360 Speaker 6: the transformer right? 264 00:11:46,360 --> 00:11:54,560 Speaker 1: It was? You were in Jacksonville, the fransformer and a 265 00:11:54,600 --> 00:11:57,719 Speaker 1: police officer named Jennifer who is a Texas deputy is 266 00:11:57,800 --> 00:12:01,000 Speaker 1: under investigation after posting a TikTok and you know, saying 267 00:12:01,040 --> 00:12:03,520 Speaker 1: she didn't get any of the night before and so 268 00:12:03,559 --> 00:12:06,360 Speaker 1: she'd be handing out more tickets. The video went viral 269 00:12:06,480 --> 00:12:09,760 Speaker 1: sparked backlash, with many calling it unprofessional. Her departments now 270 00:12:09,760 --> 00:12:12,800 Speaker 1: reviewing the incident. I can appreciate this. Other posts from 271 00:12:12,800 --> 00:12:15,120 Speaker 1: her TikTok account also showing her an uniform or reportedly 272 00:12:15,160 --> 00:12:18,040 Speaker 1: being reviewed as part of the investigation. So that might 273 00:12:18,040 --> 00:12:19,840 Speaker 1: be a question that you would ask or maybe not 274 00:12:19,920 --> 00:12:22,679 Speaker 1: ask a police officer when pulled over. Hey did you 275 00:12:22,720 --> 00:12:25,839 Speaker 1: get any last night? Yes? You did? Okay, this might 276 00:12:25,880 --> 00:12:28,360 Speaker 1: go well for me, or it might not. Or if 277 00:12:28,360 --> 00:12:31,040 Speaker 1: you're in law enforcement, if you're gonna make silly videos, 278 00:12:31,040 --> 00:12:33,679 Speaker 1: maybe not in the in the uniform. Maybe we take 279 00:12:33,679 --> 00:12:36,920 Speaker 1: the uniform off. Maybe I'm not sure. It's National Night 280 00:12:36,960 --> 00:12:41,000 Speaker 1: Out Day, National Oyster Dame, and it's National Underwear Day today.