1 00:00:00,000 --> 00:00:03,200 Speaker 1: It's biggest stories of the day. Good morning, everybody, Glad 2 00:00:03,240 --> 00:00:06,400 Speaker 1: you're here. Fried day very exciting. 3 00:00:06,400 --> 00:00:08,880 Speaker 2: The entertainmer of port Vlogg's got another keyword to see 4 00:00:08,960 --> 00:00:11,680 Speaker 2: Harry Styles in Sydney. And then we're halfway there. Then 5 00:00:11,680 --> 00:00:14,000 Speaker 2: you'll have five you need five more next week. You 6 00:00:14,040 --> 00:00:17,279 Speaker 2: know all ten you make the sentence, You're going Sydney, Australia. 7 00:00:17,320 --> 00:00:21,800 Speaker 2: Harry Styles Fred Show Exclusive California jury on Thursday heard 8 00:00:21,920 --> 00:00:24,320 Speaker 2: from the young woman at the center of a closely 9 00:00:24,880 --> 00:00:29,120 Speaker 2: watched trial over whether social media is built to hook kids. Kiki, 10 00:00:29,200 --> 00:00:31,160 Speaker 2: I think you're part of this class action, aren't you? Yes, 11 00:00:31,200 --> 00:00:35,400 Speaker 2: I am now twenty, The plaintiff, identified as Kiki not 12 00:00:35,600 --> 00:00:40,600 Speaker 2: Kaylee GM, testified that's starting to use YouTube at six 13 00:00:40,680 --> 00:00:45,680 Speaker 2: and Instagram at nine, fed years of obsessive use, isolation, 14 00:00:46,159 --> 00:00:50,000 Speaker 2: and mental health struggles including anxiety, depression, and body dysmorphia. 15 00:00:50,320 --> 00:00:52,239 Speaker 2: If I wasn't on it, I felt like I was 16 00:00:52,280 --> 00:00:55,440 Speaker 2: going to miss out on something, she said, recalling one 17 00:00:55,480 --> 00:00:58,480 Speaker 2: day as a team when she spent sixteen hours on 18 00:00:58,520 --> 00:01:01,840 Speaker 2: Instagram and describing panic when her phone was taken away. 19 00:01:01,880 --> 00:01:05,560 Speaker 2: She said she repeatedly bypassed parental controls, snuck out at 20 00:01:05,640 --> 00:01:08,240 Speaker 2: night to find her phone and still check social media 21 00:01:08,319 --> 00:01:11,720 Speaker 2: during Walmart shifts. It's too hard to be without it, 22 00:01:11,880 --> 00:01:15,600 Speaker 2: she says. The woman's former therapist testified before her and 23 00:01:15,640 --> 00:01:19,319 Speaker 2: blamed social media for contributing to her patient's mental health issues. 24 00:01:19,640 --> 00:01:23,640 Speaker 2: The suit, which has filed against Meta, Snapchat, TikTok, and YouTube, 25 00:01:23,920 --> 00:01:26,679 Speaker 2: is the first of more than three thousand similar cases 26 00:01:27,600 --> 00:01:29,640 Speaker 2: to reach trial and as seen as a test of 27 00:01:29,680 --> 00:01:33,560 Speaker 2: whether platforms can be held liable for user content, not 28 00:01:33,560 --> 00:01:36,960 Speaker 2: for user content ratherly rather, but for allegedly addictive design 29 00:01:37,040 --> 00:01:39,600 Speaker 2: features like push notifications and like count. 30 00:01:39,880 --> 00:01:40,720 Speaker 1: Here's my question. 31 00:01:41,040 --> 00:01:45,840 Speaker 2: Like all true, but they obviously designed the product to 32 00:01:45,959 --> 00:01:49,880 Speaker 2: be something that people want to use, absolutely, and they obviously, 33 00:01:50,040 --> 00:01:52,880 Speaker 2: like any other product, they've taken into consideration what's going 34 00:01:52,920 --> 00:01:55,200 Speaker 2: to get people to come back and what's going to 35 00:01:55,200 --> 00:01:57,680 Speaker 2: get people to use their product more than others, Which 36 00:01:57,680 --> 00:02:00,880 Speaker 2: is why these sites have survived and there's similar sites 37 00:02:00,920 --> 00:02:04,440 Speaker 2: have failed. That is the objective of your of a business, 38 00:02:04,520 --> 00:02:06,960 Speaker 2: right like the objective of it. I would, in a 39 00:02:06,960 --> 00:02:08,960 Speaker 2: healthy way, I would love it if people were addicted 40 00:02:09,000 --> 00:02:11,200 Speaker 2: to this show and just had to listen every morning. 41 00:02:11,280 --> 00:02:14,639 Speaker 2: That's our job, and I don't know why we're suing, 42 00:02:14,919 --> 00:02:18,480 Speaker 2: Like why were there not better boundaries I guess between 43 00:02:18,480 --> 00:02:21,440 Speaker 2: the parents and the child, right, I just I don't 44 00:02:21,440 --> 00:02:24,240 Speaker 2: know why this is all. And I'm I'm not a 45 00:02:24,480 --> 00:02:28,240 Speaker 2: meta defender by any means. In fact, I've read some 46 00:02:28,320 --> 00:02:31,080 Speaker 2: things lately that are pretty disturbing, but at the same time, 47 00:02:31,160 --> 00:02:34,240 Speaker 2: like why is it all their fault? Where are the 48 00:02:34,320 --> 00:02:37,120 Speaker 2: parents teaching boundaries where that? You know, I don't know. 49 00:02:37,160 --> 00:02:40,959 Speaker 2: My nieces don't just have unlimited access to technology. I 50 00:02:41,000 --> 00:02:43,600 Speaker 2: mean it's monitored and it's and it's metered. 51 00:02:43,840 --> 00:02:46,440 Speaker 3: Yeah, with anything, you have to have self control, so 52 00:02:46,880 --> 00:02:48,079 Speaker 3: you know, I just. 53 00:02:48,040 --> 00:02:48,360 Speaker 1: I don't know. 54 00:02:48,400 --> 00:02:50,760 Speaker 2: It's interesting to me three thousand people that were suing 55 00:02:50,880 --> 00:02:52,079 Speaker 2: because it's their fault. 56 00:02:51,919 --> 00:02:54,760 Speaker 3: And it's just over children, right, it's not like the 57 00:02:54,800 --> 00:02:55,640 Speaker 3: adults or. 58 00:02:55,800 --> 00:02:57,680 Speaker 1: This particular stories about kids. 59 00:02:57,840 --> 00:03:01,320 Speaker 3: Yeah, because like if my kids and sneaks booze, like 60 00:03:01,360 --> 00:03:03,160 Speaker 3: I'm not going to sue the alcohol company, you know 61 00:03:03,200 --> 00:03:03,639 Speaker 3: what I mean? 62 00:03:03,840 --> 00:03:06,160 Speaker 2: Like, it's just interesting. I mean, I think I think 63 00:03:06,480 --> 00:03:08,960 Speaker 2: you're right. I mean they I think they definitely make 64 00:03:09,000 --> 00:03:09,840 Speaker 2: this to be addicted. 65 00:03:09,960 --> 00:03:13,120 Speaker 3: Oh it's the court lottery man's But I. 66 00:03:13,080 --> 00:03:15,000 Speaker 2: Don't I guess they're not alone in that and I 67 00:03:15,000 --> 00:03:17,679 Speaker 2: guess I don't. I don't know. Again, not a defender, 68 00:03:17,760 --> 00:03:20,440 Speaker 2: but I feel like there are more layers to all 69 00:03:20,480 --> 00:03:23,880 Speaker 2: this kind of stuff. The reigning Olympic champions in women's 70 00:03:23,880 --> 00:03:28,280 Speaker 2: hockey have an engagement with Flava Flame. The rapper posted 71 00:03:28,320 --> 00:03:31,240 Speaker 2: on Thursday, the She Got Game, event happening July sixteenth 72 00:03:31,240 --> 00:03:33,520 Speaker 2: through the nineteenth in Las Vegas, will honor other female 73 00:03:33,560 --> 00:03:36,600 Speaker 2: athletes as well. He said, US team players accepted the 74 00:03:36,640 --> 00:03:40,560 Speaker 2: invitation without input from USA Hockey. According to a person 75 00:03:40,840 --> 00:03:44,520 Speaker 2: familiar with the discussions with Flava Flav, because of potential 76 00:03:44,520 --> 00:03:47,000 Speaker 2: scheduling conflicts, it's not clear whether all twenty three players 77 00:03:47,000 --> 00:03:50,240 Speaker 2: will go. Unlike the gold medal winning men's team, the 78 00:03:50,280 --> 00:03:53,880 Speaker 2: women's squad declined President Trump's invitation to eat Big Max 79 00:03:54,360 --> 00:03:56,480 Speaker 2: in the White House and attend his State of the 80 00:03:56,560 --> 00:04:02,560 Speaker 2: Union address. Tampa International Airport is trending today and they've 81 00:04:02,560 --> 00:04:05,760 Speaker 2: started up the Internet after posting that they are banning 82 00:04:05,880 --> 00:04:09,640 Speaker 2: passengers and wearing pajamas at the airport. The airport's social 83 00:04:09,640 --> 00:04:14,080 Speaker 2: media accounts joked at pajama wearing travelers were a crisis 84 00:04:14,400 --> 00:04:17,719 Speaker 2: and urged people to help make the airport pajama free. 85 00:04:18,000 --> 00:04:21,080 Speaker 2: The post quickly confused and annoyed some travelers who wondered 86 00:04:21,080 --> 00:04:23,159 Speaker 2: if it was real. By the end of the day, 87 00:04:23,320 --> 00:04:25,400 Speaker 2: airport officials that clarify the truth, there is, in fact 88 00:04:25,400 --> 00:04:27,520 Speaker 2: no ban. They said that the whole thing was meant 89 00:04:27,520 --> 00:04:30,559 Speaker 2: to be lighthearted satire to engage followers in poke fund 90 00:04:30,880 --> 00:04:34,799 Speaker 2: at travel fashion debate. The airport even emphasized that passengers 91 00:04:34,839 --> 00:04:38,239 Speaker 2: are encouraged to travel comfortably, and similar joke posts, including 92 00:04:38,240 --> 00:04:41,279 Speaker 2: one about banning crocs, are part of their normal social 93 00:04:41,400 --> 00:04:43,600 Speaker 2: media humor hilarious. 94 00:04:43,920 --> 00:04:45,040 Speaker 1: So, yeah, I don't know. 95 00:04:45,120 --> 00:04:47,840 Speaker 2: I mean, I will say that the standard for what 96 00:04:47,880 --> 00:04:51,480 Speaker 2: we wear on airplanes has definitely shifted. I'm all for comfort, 97 00:04:51,520 --> 00:04:53,920 Speaker 2: but like, and I don't really care what you wear. 98 00:04:54,000 --> 00:04:54,520 Speaker 1: But you can't. 99 00:04:54,680 --> 00:04:56,719 Speaker 2: You can't tell me that it doesn't look a little 100 00:04:56,720 --> 00:04:58,280 Speaker 2: different at the airport now than it did. 101 00:04:58,600 --> 00:05:00,360 Speaker 3: People store heels yars ago. 102 00:05:00,400 --> 00:05:01,960 Speaker 2: Well, yeah, when I was growing up, like, you were 103 00:05:01,960 --> 00:05:04,320 Speaker 2: supposed to look kind of nice to fly, I mean, 104 00:05:04,400 --> 00:05:08,560 Speaker 2: and that was in the thirties. So when orable right, 105 00:05:08,640 --> 00:05:10,359 Speaker 2: and I used to go flying, when he taught me 106 00:05:10,360 --> 00:05:12,080 Speaker 2: how to fly, I used to have to wear full 107 00:05:12,160 --> 00:05:14,039 Speaker 2: leather and a helmet, you know, one of those leather 108 00:05:14,120 --> 00:05:17,440 Speaker 2: helmets with goggles, you know, And I still do actually 109 00:05:17,520 --> 00:05:19,680 Speaker 2: when I go, when I travel, I still wear it. 110 00:05:19,680 --> 00:05:21,880 Speaker 2: Even though I'm inside the plane, I still wear the 111 00:05:21,960 --> 00:05:24,520 Speaker 2: leather and helmet wings and the goggles. Well yeah, and 112 00:05:24,200 --> 00:05:27,960 Speaker 2: I wear my like leather jacket with the swords and 113 00:05:28,040 --> 00:05:29,920 Speaker 2: sheep scan or something across the collar, you know what 114 00:05:29,920 --> 00:05:31,640 Speaker 2: I'm talking about. Yes, yeah, I wear that. 115 00:05:31,720 --> 00:05:33,200 Speaker 3: I remember one time I was like, look at me, 116 00:05:33,240 --> 00:05:35,080 Speaker 3: I'm dressed like a pilot, and You're like, that's not how. 117 00:05:35,000 --> 00:05:35,200 Speaker 1: They do. 118 00:05:36,760 --> 00:05:40,120 Speaker 2: Right, Yeah, you know, I think people are maybe a 119 00:05:40,160 --> 00:05:44,000 Speaker 2: little too comfortable at the airport sometimes. But hey, yeah, okay, 120 00:05:44,040 --> 00:05:45,520 Speaker 2: got a couple of AI stories for you In the 121 00:05:45,520 --> 00:05:47,880 Speaker 2: Biggest Stories of the Day. A new Penn State study 122 00:05:48,320 --> 00:05:51,640 Speaker 2: says that talking to AI at fast food drive throughs 123 00:05:51,720 --> 00:05:54,480 Speaker 2: might actually push people to order unhealthy food. Well We're 124 00:05:54,480 --> 00:05:56,800 Speaker 2: in a drive through, first of all, so good chance 125 00:05:56,800 --> 00:06:00,160 Speaker 2: I'm going to order something unhealthy, wo SAI. 126 00:06:00,240 --> 00:06:02,160 Speaker 1: I pulled up to the Farmer's Market drive through. 127 00:06:03,160 --> 00:06:07,400 Speaker 3: Hey, right, be honest, I probably I might do that 128 00:06:07,480 --> 00:06:08,320 Speaker 3: if they have it here. 129 00:06:08,839 --> 00:06:11,560 Speaker 2: In the study, people who ordered through a voice AI 130 00:06:11,680 --> 00:06:15,520 Speaker 2: system were more likely to pick indulgent options like cheeseburgers, 131 00:06:15,520 --> 00:06:17,600 Speaker 2: and fries than people who ordered from a human. 132 00:06:17,720 --> 00:06:18,559 Speaker 1: No, I have no shame. 133 00:06:18,880 --> 00:06:20,960 Speaker 2: If I pulled up in a drive through, I'm ordering 134 00:06:20,960 --> 00:06:23,240 Speaker 2: what I'm ordering, right, I don't care. 135 00:06:23,360 --> 00:06:25,200 Speaker 1: But if someone's on the phone, I do like hang 136 00:06:25,279 --> 00:06:26,320 Speaker 1: up because I don't want them to. 137 00:06:26,320 --> 00:06:26,920 Speaker 3: Hear my order. 138 00:06:27,240 --> 00:06:28,960 Speaker 1: I do that too, Yeah, I do that too. 139 00:06:29,000 --> 00:06:30,040 Speaker 3: I just like I don't know. 140 00:06:30,960 --> 00:06:34,599 Speaker 2: In private, researchers think that it's because interacting with AI 141 00:06:34,760 --> 00:06:37,920 Speaker 2: takes more mental effort. When your brain feels a little 142 00:06:37,920 --> 00:06:39,880 Speaker 2: bit drained, you're more likely to go for comfort food 143 00:06:39,920 --> 00:06:41,080 Speaker 2: instead of the healthier choice. 144 00:06:41,080 --> 00:06:41,800 Speaker 1: Maybe I don't know. 145 00:06:42,200 --> 00:06:45,000 Speaker 2: And Burger King is rolling out a new AI helper 146 00:06:45,080 --> 00:06:49,640 Speaker 2: named Patty, which is a voice chatbot built into workers' headsets. 147 00:06:49,680 --> 00:06:51,480 Speaker 2: The goal is to help staff with day to day 148 00:06:51,520 --> 00:06:55,600 Speaker 2: tasks and improve customer service. Employees can ask Patty practical 149 00:06:55,720 --> 00:06:58,160 Speaker 2: questions like how to make a specific sandwich or how 150 00:06:58,160 --> 00:07:00,520 Speaker 2: to clean equipment, and the system pulls data from the 151 00:07:00,600 --> 00:07:04,479 Speaker 2: kitchen inventory and ordering systems. But there's also an attention 152 00:07:04,560 --> 00:07:06,839 Speaker 2: grabber here. The AI is also trained to listen for 153 00:07:06,960 --> 00:07:09,960 Speaker 2: friendliness and can wreckt it a narc, so it can 154 00:07:10,000 --> 00:07:13,200 Speaker 2: recognize phrases like welcome to Burger King please and thank you, 155 00:07:13,240 --> 00:07:15,880 Speaker 2: and managers can now check the location to see how 156 00:07:15,920 --> 00:07:19,840 Speaker 2: they're doing with customer politeness. So they say it's a 157 00:07:19,880 --> 00:07:23,160 Speaker 2: tool meant for coaching and support, not to punish individual workers. 158 00:07:23,360 --> 00:07:24,679 Speaker 1: But now it's it's the ops. 159 00:07:24,880 --> 00:07:25,320 Speaker 3: Yeah. 160 00:07:25,440 --> 00:07:27,800 Speaker 2: If I don't say thank you enough to you, then 161 00:07:27,800 --> 00:07:29,600 Speaker 2: it's gonna tell on me and get me fired. 162 00:07:32,960 --> 00:07:35,600 Speaker 3: Time. It's the ops time. Good. 163 00:07:35,880 --> 00:07:37,920 Speaker 1: Yeah, I know. Well you were a fast food alumnus. 164 00:07:38,000 --> 00:07:38,480 Speaker 3: Yes I am. 165 00:07:38,560 --> 00:07:40,800 Speaker 2: You know, I'm We've all in here done different things. 166 00:07:40,800 --> 00:07:43,240 Speaker 2: Some of us did fast foods, I did retail. You're 167 00:07:43,240 --> 00:07:44,280 Speaker 2: a fast food alumnis. 168 00:07:44,280 --> 00:07:44,720 Speaker 1: I know you. 169 00:07:44,720 --> 00:07:47,120 Speaker 2: You say that you could go back to KFC and 170 00:07:47,200 --> 00:07:49,680 Speaker 2: work an order in like ninety seconds flat right, I. 171 00:07:49,640 --> 00:07:52,200 Speaker 3: Really believe that, Like my line used to move. 172 00:07:52,520 --> 00:07:54,960 Speaker 2: What was a good time during lunch for the drive 173 00:07:54,960 --> 00:07:55,800 Speaker 2: through at KFC? 174 00:07:55,960 --> 00:07:57,440 Speaker 3: What do you mean like ninety seconds? 175 00:07:57,440 --> 00:07:59,720 Speaker 1: You should benet. I made that up, but that's real. 176 00:07:59,800 --> 00:08:02,960 Speaker 2: Yeah, ninety seconds order to chickens in my mouth? 177 00:08:03,040 --> 00:08:04,200 Speaker 1: Yes, ninety seconds. 178 00:08:04,280 --> 00:08:05,680 Speaker 3: Yes, I ran a very strict prog. 179 00:08:05,880 --> 00:08:08,920 Speaker 1: Wow. Wow, that's impressive. 180 00:08:09,080 --> 00:08:14,320 Speaker 3: Yes, everything should be in order, very easy, thank you. 181 00:08:14,560 --> 00:08:15,120 Speaker 1: Yeah, you know. 182 00:08:15,280 --> 00:08:21,480 Speaker 2: Otherwise the AI think it's Pokemon Day, it's national Retro Day, 183 00:08:21,760 --> 00:08:26,480 Speaker 2: National Polar Bear Day. It's National Kelua Day today as well. 184 00:08:26,480 --> 00:08:28,320 Speaker 2: And we learned in the fun fact on the Fred Show. 185 00:08:28,360 --> 00:08:31,360 Speaker 2: I believe it was polar bears that are actually they're 186 00:08:31,400 --> 00:08:34,280 Speaker 2: actually black, Yeah, and that they're white because of their 187 00:08:34,320 --> 00:08:36,559 Speaker 2: fur only. But if you if you shave the fur off, 188 00:08:36,559 --> 00:08:39,520 Speaker 2: they're black. Love that. I believe we learned that hair, 189 00:08:40,120 --> 00:08:40,520 Speaker 2: did we not? 190 00:08:40,679 --> 00:08:41,319 Speaker 1: Yeah? There you go. 191 00:08:41,559 --> 00:08:43,600 Speaker 2: So they ever go on Jeopardy, that may come up 192 00:08:43,600 --> 00:08:45,800 Speaker 2: and you may be you know, sens advice. 193 00:08:46,120 --> 00:08:47,280 Speaker 1: You may win some money that way. 194 00:08:47,520 --> 00:08:49,839 Speaker 2: The Entertainment Report after God Got three Minutes, it's The 195 00:08:49,880 --> 00:08:50,360 Speaker 2: Fred Show.