1 00:00:00,280 --> 00:00:04,040 Speaker 1: Hello the Internet, and welcome to this episode of They're 2 00:00:04,120 --> 00:00:10,160 Speaker 1: Eating the Trends. That one courtesy of Hamburger Time on 3 00:00:10,200 --> 00:00:13,880 Speaker 1: the Discord. Thank you for that and always to happy, 4 00:00:14,000 --> 00:00:17,720 Speaker 1: always happy to hear that it is Hamburger Time. My 5 00:00:17,840 --> 00:00:20,639 Speaker 1: name is Jack and I'm thrilled to be joined in 6 00:00:20,720 --> 00:00:24,439 Speaker 1: today's trending episode by a very special guest, Andrew T. 7 00:00:26,320 --> 00:00:32,320 Speaker 1: Joy Trump Here to trend and we're here to trend. Andrew, 8 00:00:33,280 --> 00:00:36,599 Speaker 1: so much going on today. First of all, it's nine 9 00:00:36,640 --> 00:00:38,519 Speaker 1: to eleven. Happy nine to eleven to you, Thank you 10 00:00:39,240 --> 00:00:44,159 Speaker 1: to you. I'm with your spirit. I do miss Joe Biden. 11 00:00:44,680 --> 00:00:48,479 Speaker 1: Like yesterday before the debate, he was like, I'm feeling 12 00:00:48,520 --> 00:00:53,200 Speaker 1: great tomorrow, I'm doing nine to eleven, and then tonight 13 00:00:53,240 --> 00:00:54,040 Speaker 1: we got the debate. 14 00:00:54,640 --> 00:00:56,920 Speaker 2: Uh, and I was just like, oh man, that would 15 00:00:56,920 --> 00:00:58,120 Speaker 2: have been that. 16 00:00:58,280 --> 00:01:00,360 Speaker 1: All we were talking about is that he was heading 17 00:01:00,400 --> 00:01:01,600 Speaker 1: into the debate being like. 18 00:01:01,600 --> 00:01:04,240 Speaker 2: Tomorrow, I'm doing nine to eleven and be like, oh fuck. 19 00:01:06,040 --> 00:01:07,959 Speaker 2: But it's good. 20 00:01:08,040 --> 00:01:10,440 Speaker 1: Good to have him back in the in the media, 21 00:01:11,160 --> 00:01:14,000 Speaker 1: and even better to not have him being the person 22 00:01:14,880 --> 00:01:19,600 Speaker 1: who I was worried about in last night's debate. You know. 23 00:01:19,840 --> 00:01:21,200 Speaker 2: Yes, So. 24 00:01:22,720 --> 00:01:29,040 Speaker 1: The debate happened you watched every second twice you said, yeah. 25 00:01:28,520 --> 00:01:32,200 Speaker 3: I watched it. I watched it via Twitter impressions and 26 00:01:32,560 --> 00:01:35,640 Speaker 3: my friends texting me like holy shit, and. 27 00:01:35,600 --> 00:01:39,520 Speaker 1: I was at dinner, right, yeah, I had to rewatch 28 00:01:39,520 --> 00:01:44,120 Speaker 1: it on DVR. And while people's takes like we were 29 00:01:44,160 --> 00:01:47,280 Speaker 1: already like three levels deep on the They're eating dogs 30 00:01:47,400 --> 00:01:49,600 Speaker 1: memes by the time that I was watching it. 31 00:01:49,760 --> 00:01:54,200 Speaker 3: I I just think that like shit like this and 32 00:01:54,280 --> 00:01:58,120 Speaker 3: like award shows are actually the perfect It still remains 33 00:01:58,120 --> 00:02:00,600 Speaker 3: the perfect use of Twitter, which is like you you 34 00:02:00,720 --> 00:02:04,440 Speaker 3: really do get everything you need to know from Twitter. 35 00:02:04,760 --> 00:02:09,560 Speaker 1: You really, yeah, you get You see the things that 36 00:02:09,639 --> 00:02:12,920 Speaker 1: are going to be remembered for the debate being like 37 00:02:13,400 --> 00:02:17,480 Speaker 1: solidified into like memories. You see the other parts just 38 00:02:17,560 --> 00:02:21,360 Speaker 1: kind of dropping away. There were like fifteen minutes at 39 00:02:21,360 --> 00:02:25,200 Speaker 1: the beginning where you know, she seemed a little nervous, 40 00:02:25,240 --> 00:02:29,240 Speaker 1: he seemed like he was gonna be okay. But that's 41 00:02:29,280 --> 00:02:35,800 Speaker 1: all gone, that's all gone. They I do. I do 42 00:02:35,840 --> 00:02:40,080 Speaker 1: find myself going into these like thinking like the mainstream 43 00:02:40,120 --> 00:02:43,120 Speaker 1: media where you like watch the debate with like one 44 00:02:43,280 --> 00:02:48,480 Speaker 1: dumb eye, trying to imagine like how people who like 45 00:02:48,639 --> 00:02:54,440 Speaker 1: Trump or are like still undecided side are are like 46 00:02:54,560 --> 00:02:58,959 Speaker 1: watching this where it's like and and yeah, the immediate 47 00:02:59,080 --> 00:03:03,800 Speaker 1: takes from the main cable channel, like you know, they're 48 00:03:03,840 --> 00:03:06,800 Speaker 1: not cable channels, the main network channels, Like I was 49 00:03:06,840 --> 00:03:11,079 Speaker 1: watching on NBC and it was like, I mean, they 50 00:03:11,120 --> 00:03:15,600 Speaker 1: both had moments that will probably resonate. She successfully prosecuted 51 00:03:15,639 --> 00:03:17,760 Speaker 1: the case that he's an unstable lunatic who pulls a 52 00:03:17,800 --> 00:03:21,320 Speaker 1: next essential risk to the survival of the nation and 53 00:03:21,400 --> 00:03:25,560 Speaker 1: presented herself as reasonable and empathetic by comparison, and he 54 00:03:25,840 --> 00:03:31,480 Speaker 1: was taller and was like like whide awake the whole time, 55 00:03:31,720 --> 00:03:35,280 Speaker 1: Like that really seemed to be the But you know 56 00:03:35,440 --> 00:03:39,240 Speaker 1: they I feel like they need to they struggle to 57 00:03:39,440 --> 00:03:42,360 Speaker 1: find their yeah, to horse race it. And they know 58 00:03:42,600 --> 00:03:45,920 Speaker 1: also that it's no matter what happened, it wasn't going 59 00:03:45,960 --> 00:03:49,120 Speaker 1: to be a clear like there's no knockout punch happening, 60 00:03:49,160 --> 00:03:51,000 Speaker 1: so they have to just be like yeah, and he's 61 00:03:51,080 --> 00:03:53,880 Speaker 1: you know, he's continuing to be Trump. 62 00:03:54,120 --> 00:03:58,560 Speaker 3: And there's nothing that could It's like like literally nothing 63 00:03:58,680 --> 00:04:01,320 Speaker 3: could change the selection and shy of one of them 64 00:04:01,440 --> 00:04:05,440 Speaker 3: dying on stage during right, yes, we both right, Like 65 00:04:05,480 --> 00:04:08,200 Speaker 3: it's just like nothing will change nothing, How could anything change? 66 00:04:08,200 --> 00:04:13,160 Speaker 3: It would be wild if anyone's opinion were swayed by tonight. 67 00:04:13,480 --> 00:04:17,960 Speaker 1: Yeah, and this debate was a great test of that 68 00:04:18,400 --> 00:04:23,560 Speaker 1: because if anything, if it were possible for a debate 69 00:04:23,640 --> 00:04:29,240 Speaker 1: to actually change something, I have to wonder, if they're 70 00:04:29,360 --> 00:04:34,279 Speaker 1: eating our pets, they're eating the dogs, is going to 71 00:04:35,040 --> 00:04:39,320 Speaker 1: like be so far over the edge of believability, like 72 00:04:39,600 --> 00:04:45,880 Speaker 1: so crazy email forward coded that people just have to 73 00:04:47,320 --> 00:04:51,120 Speaker 1: like stop and be like wait, what the fuck? Like yeah, 74 00:04:51,160 --> 00:04:55,800 Speaker 1: that's that, Like he's always he's always a lot, like 75 00:04:55,880 --> 00:04:59,840 Speaker 1: he's a cartoon liar. Like people don't seem to mind, 76 00:05:00,640 --> 00:05:04,440 Speaker 1: but even this felt like he was playing a liar 77 00:05:04,600 --> 00:05:08,560 Speaker 1: on TV in a performance that would be called like 78 00:05:08,760 --> 00:05:11,160 Speaker 1: overly broad by a critic. 79 00:05:11,400 --> 00:05:13,960 Speaker 3: I get to me. It's that like he's always going 80 00:05:14,040 --> 00:05:17,000 Speaker 3: to be like like like that the dunk that I 81 00:05:17,000 --> 00:05:19,839 Speaker 3: think I kept seeing on my Twitter was like he's 82 00:05:19,920 --> 00:05:23,320 Speaker 3: so like conservative media pill. He only makes sense to 83 00:05:23,440 --> 00:05:26,640 Speaker 3: like people that are on like you know, Fox News 84 00:05:26,640 --> 00:05:30,080 Speaker 3: and worse all day long. But the thing is he's 85 00:05:30,240 --> 00:05:33,080 Speaker 3: only ever been that, Like I just don't understand what 86 00:05:33,480 --> 00:05:35,599 Speaker 3: that and that these people think that there's a that 87 00:05:35,720 --> 00:05:39,640 Speaker 3: this is a dunk or that there's like actual persuadable 88 00:05:39,720 --> 00:05:43,160 Speaker 3: voters nine years into the ship, Like, what what are 89 00:05:43,160 --> 00:05:45,520 Speaker 3: you talking about? Like, yeah, of course he sounds like 90 00:05:45,520 --> 00:05:50,120 Speaker 3: a racist Facebook post, but like he never hasn't ye, 91 00:05:50,279 --> 00:05:52,360 Speaker 3: Like what difference does that. 92 00:05:52,279 --> 00:05:56,800 Speaker 1: Make it to be part of the appeal to the charm? Yeah, 93 00:05:56,839 --> 00:06:00,520 Speaker 1: but like I feel like he made that look dumb 94 00:06:00,839 --> 00:06:03,520 Speaker 1: last night. He made that, you know, like dumber than 95 00:06:03,520 --> 00:06:08,120 Speaker 1: he's ever made it. But that doesn't matter how. 96 00:06:07,960 --> 00:06:11,560 Speaker 3: Many times have we said this exact thing. He finally 97 00:06:11,600 --> 00:06:15,120 Speaker 3: did it. It's like like this will be the thing, 98 00:06:15,160 --> 00:06:17,800 Speaker 3: and I'm just like maybe, but like we've been saying 99 00:06:17,839 --> 00:06:20,640 Speaker 3: this since the Clinton campaign and you know, like it 100 00:06:21,440 --> 00:06:22,560 Speaker 3: hasn't heard him yet. 101 00:06:23,279 --> 00:06:23,719 Speaker 2: Yeah. 102 00:06:23,880 --> 00:06:27,520 Speaker 1: I mean part of the bit with him is like 103 00:06:27,680 --> 00:06:32,880 Speaker 1: how much he triggers people who like cared about their 104 00:06:32,920 --> 00:06:38,120 Speaker 1: grades in high school, you know, and like on some 105 00:06:38,440 --> 00:06:42,960 Speaker 1: level they have to know that they're being constantly lied 106 00:06:43,000 --> 00:06:45,600 Speaker 1: to and it's just like fun to see him tell 107 00:06:45,640 --> 00:06:48,279 Speaker 1: the lie in a way. But like I guess that 108 00:06:48,440 --> 00:06:53,800 Speaker 1: is the like Kamala Harris did seem unfazed by it 109 00:06:53,920 --> 00:06:56,520 Speaker 1: a little bit and sort of able to manipulate it 110 00:06:57,120 --> 00:06:57,640 Speaker 1: a little bit. 111 00:06:57,920 --> 00:07:02,240 Speaker 3: Maybe, Yeah, yeah, I think that's I mean, you wonder 112 00:07:02,360 --> 00:07:05,400 Speaker 3: because it's like like the one of the reasons he 113 00:07:05,520 --> 00:07:09,320 Speaker 3: ran rings around Biden was Biden was like, first of all, 114 00:07:09,600 --> 00:07:14,440 Speaker 3: they probably like unfortunately share more opinions than I would 115 00:07:14,480 --> 00:07:17,520 Speaker 3: want to think about. Sure, and so it's like, you know, 116 00:07:17,520 --> 00:07:19,640 Speaker 3: it's like the hay Buster, You're gone too far, or 117 00:07:19,680 --> 00:07:23,760 Speaker 3: I wouldn't say like that was Joe Biden's like POV, 118 00:07:24,520 --> 00:07:26,680 Speaker 3: whereas like at least Kama was able to just be 119 00:07:26,840 --> 00:07:31,160 Speaker 3: like like make the face of like this is was 120 00:07:31,200 --> 00:07:32,520 Speaker 3: crazy right, right. 121 00:07:32,440 --> 00:07:38,200 Speaker 1: Yeah, like channeling a nation of people being like what yeah, yeah. 122 00:07:38,160 --> 00:07:40,400 Speaker 3: Like Jim the office, Jim from the office face. 123 00:07:40,520 --> 00:07:42,720 Speaker 2: Yes, she was like serving Jim from the office a 124 00:07:42,720 --> 00:07:48,600 Speaker 2: little bit. But that smug look. 125 00:07:48,400 --> 00:07:52,560 Speaker 3: Has been the problem for Democrats for fucking over at death. 126 00:07:53,080 --> 00:07:55,840 Speaker 1: Yeah, and I do think a lot of because there's 127 00:07:55,880 --> 00:07:58,280 Speaker 1: a lot of people who are responding to this like 128 00:07:58,720 --> 00:08:03,120 Speaker 1: it's over. It was, in fact the knockout punch, and. 129 00:08:03,000 --> 00:08:05,880 Speaker 3: It's the exact same shit from the exact same point 130 00:08:05,920 --> 00:08:07,200 Speaker 3: in the election that he won. 131 00:08:07,720 --> 00:08:10,640 Speaker 2: I know, I know, I'm just. 132 00:08:10,520 --> 00:08:13,280 Speaker 3: Saying like I don't have enough data points either, but 133 00:08:13,320 --> 00:08:16,840 Speaker 3: I'm like, I don't know, this feels like exactly like 134 00:08:17,320 --> 00:08:19,560 Speaker 3: we've been here before and it didn't go well. 135 00:08:19,720 --> 00:08:23,160 Speaker 1: The Drudge Report, which has soured on Trump a long 136 00:08:23,200 --> 00:08:27,280 Speaker 1: time ago, but like their headline was big letters the 137 00:08:27,520 --> 00:08:30,840 Speaker 1: end with a with an ai image of Trump sitting 138 00:08:30,880 --> 00:08:34,840 Speaker 1: in a plane full of cats because of that line, 139 00:08:35,240 --> 00:08:38,520 Speaker 1: very stupid, but again, like hundreds of millions of Americans 140 00:08:38,559 --> 00:08:43,440 Speaker 1: check that side every day, and Lindsey Graham called it. 141 00:08:43,400 --> 00:08:44,520 Speaker 2: A total disaster. 142 00:08:45,080 --> 00:08:49,560 Speaker 1: So like, there are places that I've looked where it 143 00:08:49,679 --> 00:08:52,560 Speaker 1: feels like people on the right are reacting to this 144 00:08:52,640 --> 00:08:56,680 Speaker 1: debate the way that people in the center reacted to 145 00:08:56,720 --> 00:08:57,720 Speaker 1: the Biden debate. 146 00:08:57,920 --> 00:09:00,320 Speaker 2: But I don't know, We'll have to see. 147 00:09:00,679 --> 00:09:03,440 Speaker 3: I think that the problem with the Biden debate was 148 00:09:03,440 --> 00:09:08,600 Speaker 3: that it went against like Biden's narrative, whereas this is 149 00:09:08,640 --> 00:09:12,440 Speaker 3: comfortably within Trump's narrative. Sure, yeah, I think it's the 150 00:09:12,480 --> 00:09:15,640 Speaker 3: thing like at least Biden was like, oh, at least 151 00:09:15,640 --> 00:09:19,800 Speaker 3: we got a white guy that'll fucking stand up the Trump, 152 00:09:20,160 --> 00:09:23,280 Speaker 3: like in a haybuster type of way, and when he 153 00:09:23,320 --> 00:09:25,880 Speaker 3: couldn't do that, it was like, uh, but it's like 154 00:09:27,120 --> 00:09:31,000 Speaker 3: short of Trump crying like I just don't like, there's 155 00:09:31,040 --> 00:09:34,120 Speaker 3: nothing his image is this and this was more of it. Yes, 156 00:09:34,240 --> 00:09:37,280 Speaker 3: I don't know, I just you know, again, as someone 157 00:09:37,280 --> 00:09:39,319 Speaker 3: who didn't watch it, but I felt like the thing 158 00:09:39,320 --> 00:09:41,240 Speaker 3: that might compel me to watch it is if a 159 00:09:41,280 --> 00:09:45,520 Speaker 3: gambling market were to have the balls to open up 160 00:09:45,559 --> 00:09:48,400 Speaker 3: the betting of whether he will say the N word 161 00:09:48,440 --> 00:09:54,480 Speaker 3: on stage. That's what would take me to tune in. Yeah, 162 00:09:54,559 --> 00:09:56,160 Speaker 3: I don't know what tide my money would be on. 163 00:09:56,480 --> 00:10:04,120 Speaker 1: The betting markets did move someone significantly for Harriya, which 164 00:10:04,559 --> 00:10:05,960 Speaker 1: was surprising that aftermath. 165 00:10:06,240 --> 00:10:09,560 Speaker 3: Yeah, it's going to revert right back to forty nine 166 00:10:09,600 --> 00:10:13,160 Speaker 3: point nine, fifty point oh one whatever. 167 00:10:14,120 --> 00:10:18,640 Speaker 1: But anyways, the other big event happening in the presidential 168 00:10:18,640 --> 00:10:25,680 Speaker 1: election immediately after was that Taylor Swift. You know, most 169 00:10:25,720 --> 00:10:29,320 Speaker 1: Americans might not have been persuaded by what they saw. 170 00:10:29,679 --> 00:10:35,880 Speaker 1: Taylor Swift was like, right, I've done my research, guys. 171 00:10:36,040 --> 00:10:39,480 Speaker 1: I came into this debate not knowing who to believe. 172 00:10:41,760 --> 00:10:45,640 Speaker 1: I think the timing was made it feel like that. 173 00:10:46,440 --> 00:10:51,720 Speaker 1: But yeah, she she came out wrote a piece saying 174 00:10:51,800 --> 00:10:56,360 Speaker 1: that she is now going to she she has made 175 00:10:56,440 --> 00:10:59,720 Speaker 1: up her mind, she's going to vote for Harris Walls. 176 00:11:00,160 --> 00:11:01,680 Speaker 2: The Harris Walls. 177 00:11:01,600 --> 00:11:06,600 Speaker 1: Campaign immediately launched some Harris Walls friendship bracelets. A big 178 00:11:06,640 --> 00:11:10,880 Speaker 1: piece of Taylor Swift merch and those immediately sold out, 179 00:11:11,200 --> 00:11:13,840 Speaker 1: which is kind of hard to believe because like, isn't 180 00:11:13,840 --> 00:11:17,280 Speaker 1: the thing with friendship bracelets that they are so easy 181 00:11:17,320 --> 00:11:19,880 Speaker 1: to make that like a six year old can make them. 182 00:11:20,040 --> 00:11:22,120 Speaker 3: Jah je chat check jeck jack checkeck. 183 00:11:22,240 --> 00:11:24,480 Speaker 2: My fucking up here, my depths. 184 00:11:24,720 --> 00:11:28,680 Speaker 3: This is about. This is about selling about eight cents 185 00:11:28,679 --> 00:11:33,280 Speaker 3: worth of string and beads for twenty dollars. Yeah, okay, 186 00:11:33,440 --> 00:11:35,400 Speaker 3: I guess I mean official? 187 00:11:35,520 --> 00:11:36,400 Speaker 4: Yeah that. 188 00:11:38,559 --> 00:11:41,280 Speaker 3: Yes, sell the march, raise the money. It's what we need. 189 00:11:41,320 --> 00:11:45,520 Speaker 1: I suppose, yes and Trump. Then the next morning, This 190 00:11:45,679 --> 00:11:49,480 Speaker 1: Morning appeared on Fox and Friends suggested that Swift will 191 00:11:49,600 --> 00:11:53,280 Speaker 1: pay a price in the market for her endorsement. Cool, 192 00:11:53,640 --> 00:11:55,800 Speaker 1: not at all like the bad guy in an Asian 193 00:11:55,880 --> 00:12:01,079 Speaker 1: smoothie for all your cool opinions. You'll pay it the market. 194 00:12:01,720 --> 00:12:05,199 Speaker 3: Yeah. But and it's that's so weird too, because it's like, 195 00:12:05,480 --> 00:12:07,600 Speaker 3: if there's one thing right wing people are used to, 196 00:12:07,720 --> 00:12:10,760 Speaker 3: it's every artist that is good hating them, right, Like, 197 00:12:11,040 --> 00:12:15,319 Speaker 3: since when is this new? Like obviously any Trump supporting 198 00:12:15,360 --> 00:12:17,079 Speaker 3: Taylor Swift fans. 199 00:12:17,000 --> 00:12:23,559 Speaker 1: Knew this, Like I there's of course Hull Cogan, one 200 00:12:23,600 --> 00:12:27,520 Speaker 1: of my favorite artists. Did you see the JD Van 201 00:12:27,640 --> 00:12:30,000 Speaker 1: speech where he tried to make the joke. He was like, 202 00:12:30,760 --> 00:12:32,640 Speaker 1: I mean, did you see how cool that was? We 203 00:12:32,720 --> 00:12:36,040 Speaker 1: got Hull Cogan at the r n C and he 204 00:12:37,240 --> 00:12:39,920 Speaker 1: took off his shirt. Don't wear I can't don't wear that. 205 00:12:40,200 --> 00:12:43,920 Speaker 1: Can't worry, don't you just couldn't get the joke out. 206 00:12:44,679 --> 00:12:46,560 Speaker 1: I'm not don't worry. Don't worry. 207 00:12:46,600 --> 00:12:47,760 Speaker 2: I'm not going to take off my shirt. 208 00:12:47,960 --> 00:12:50,680 Speaker 3: It's the joke thing from all right wing people that's 209 00:12:50,720 --> 00:12:51,640 Speaker 3: so amazing to me. 210 00:12:51,720 --> 00:12:56,360 Speaker 1: Well, speaking of which, yes, Elon Musk hopped in. He 211 00:12:56,559 --> 00:12:59,960 Speaker 1: was like, oh, so Taylor Swift signed her thing child 212 00:13:00,080 --> 00:13:02,280 Speaker 1: with cat Lady. 213 00:13:02,000 --> 00:13:06,360 Speaker 3: Which was a jab at JD Vance's general apparently main 214 00:13:06,520 --> 00:13:10,559 Speaker 3: political platform, which is he hates he hates women without. 215 00:13:10,720 --> 00:13:13,360 Speaker 2: Without children that haven't given him a child. 216 00:13:13,920 --> 00:13:19,160 Speaker 1: Yeah soon Musk after reading Swiss Instagram posts, normal, normal, 217 00:13:19,160 --> 00:13:22,280 Speaker 1: good comedian Elon Musk, one of one of our finest, 218 00:13:23,160 --> 00:13:25,480 Speaker 1: said fine, Taylor, you win. 219 00:13:26,160 --> 00:13:29,280 Speaker 2: I will give you a child and guard your cats 220 00:13:29,360 --> 00:13:31,520 Speaker 2: with my life. Oh my god. 221 00:13:32,200 --> 00:13:35,199 Speaker 3: I we had a little disagree with off Mike about 222 00:13:35,360 --> 00:13:37,440 Speaker 3: what we thought he was doing here. 223 00:13:38,120 --> 00:13:39,400 Speaker 4: I feel. 224 00:13:40,840 --> 00:13:45,320 Speaker 2: Because I think he this is his this is his version. 225 00:13:45,400 --> 00:13:48,240 Speaker 3: I think of yes, And I think he thinks he's 226 00:13:48,960 --> 00:13:52,560 Speaker 3: playing along with her. He's just so like such a 227 00:13:52,840 --> 00:13:55,840 Speaker 3: right like right wing lunatic that he thinks I will 228 00:13:55,840 --> 00:14:00,360 Speaker 3: give you a child is the right yes, and to 229 00:14:00,600 --> 00:14:03,600 Speaker 3: childless cat lady because he thinks he's playing along with 230 00:14:03,679 --> 00:14:07,560 Speaker 3: har horror, I don't have a child. And in his 231 00:14:07,679 --> 00:14:12,280 Speaker 3: right wing brain he's like, oh, but the counter the 232 00:14:12,280 --> 00:14:14,520 Speaker 3: the like the next step of that is but you 233 00:14:14,640 --> 00:14:15,160 Speaker 3: want one? 234 00:14:15,440 --> 00:14:17,120 Speaker 2: By y? Yes? 235 00:14:17,320 --> 00:14:20,240 Speaker 5: Like do you do you think he was offering her 236 00:14:20,400 --> 00:14:22,440 Speaker 5: one of his many many children. 237 00:14:22,800 --> 00:14:23,680 Speaker 2: Who's that voice? 238 00:14:24,640 --> 00:14:31,720 Speaker 1: Oh hey, it's me Brian joining us, Briant interject we 239 00:14:31,720 --> 00:14:32,360 Speaker 1: are joined. 240 00:14:34,960 --> 00:14:39,600 Speaker 5: Like one of his many children. Board to put one in. 241 00:14:40,240 --> 00:14:43,560 Speaker 2: Yeah, I think put one in her because either believable. 242 00:14:43,840 --> 00:14:47,440 Speaker 3: Yes, but I love this spin. I love the spin. 243 00:14:48,000 --> 00:14:52,200 Speaker 1: He's just offering her one too many damn kids. 244 00:14:52,800 --> 00:14:54,840 Speaker 2: Yeah, I will give you a child. 245 00:14:54,960 --> 00:14:57,520 Speaker 1: Yeah No, I guess part of the thing that grosses 246 00:14:57,680 --> 00:14:59,560 Speaker 1: me out is like, I will give you a child 247 00:14:59,840 --> 00:15:04,080 Speaker 1: is like sounds like vaguely biblical, like, yeah, it'll make 248 00:15:04,120 --> 00:15:07,200 Speaker 1: you with child under his in. 249 00:15:07,280 --> 00:15:10,800 Speaker 3: Cell bros think this is the most crying emoji ship 250 00:15:10,880 --> 00:15:16,000 Speaker 3: you've ever like heard, And it is like, Okay, the 251 00:15:16,040 --> 00:15:18,920 Speaker 3: pitch we were talking about beforehand is like this man, 252 00:15:19,480 --> 00:15:23,200 Speaker 3: I don't think this man well he does understand you 253 00:15:23,240 --> 00:15:25,520 Speaker 3: know how cheap it is to hire very good joke 254 00:15:25,520 --> 00:15:31,040 Speaker 3: writers right now, like many ideas could have a knockout 255 00:15:31,240 --> 00:15:36,240 Speaker 3: amazing writer's room, and like and chooses. 256 00:15:35,920 --> 00:15:38,040 Speaker 4: Not to you offering your services. 257 00:15:38,080 --> 00:15:42,520 Speaker 1: Andrew, I'm just saying, I mean all would take a 258 00:15:42,560 --> 00:15:43,640 Speaker 1: million dollars a. 259 00:15:43,480 --> 00:15:47,560 Speaker 3: Month, honestly it would. You could do it for way less. 260 00:15:50,000 --> 00:15:51,600 Speaker 3: I think you could probably do it for free lunch 261 00:15:51,680 --> 00:15:55,080 Speaker 3: every day for a decent number of l A copics. 262 00:15:55,400 --> 00:15:58,400 Speaker 1: I still guard your cats with my leg like I 263 00:15:58,400 --> 00:16:01,520 Speaker 1: could see that I will give you a child being 264 00:16:02,040 --> 00:16:05,040 Speaker 1: like either a play on him having so many children 265 00:16:05,760 --> 00:16:10,120 Speaker 1: or him being like a creepy, fucking perverse but then 266 00:16:10,240 --> 00:16:12,760 Speaker 1: and guard your cats with my life. It's just like 267 00:16:12,840 --> 00:16:15,720 Speaker 1: takes it back to like him being like desperate or 268 00:16:16,320 --> 00:16:18,000 Speaker 1: he's a malady guy. 269 00:16:18,000 --> 00:16:21,520 Speaker 3: This is malady talk, and this. 270 00:16:21,480 --> 00:16:23,360 Speaker 2: Is straight up malady. 271 00:16:23,480 --> 00:16:30,160 Speaker 3: He only is, well he fired. Yeah he does put 272 00:16:30,200 --> 00:16:33,640 Speaker 3: on a whack hat, but like it's just that he 273 00:16:33,800 --> 00:16:37,600 Speaker 3: has access to slightly more expensive hats. But this is 274 00:16:38,160 --> 00:16:43,880 Speaker 3: unambiguously malady talk. That's who he is. And like that's 275 00:16:43,920 --> 00:16:47,160 Speaker 3: why he's like this. He's a fucking, you know, right 276 00:16:47,160 --> 00:16:49,520 Speaker 3: wing fourteen year old boy freak. 277 00:16:50,040 --> 00:16:55,880 Speaker 1: Yeah, Grimes. It really like puts puts Grimes's decision making 278 00:16:56,000 --> 00:16:59,960 Speaker 1: to it's wild. Yeah, this is the game that worked. 279 00:17:00,520 --> 00:17:02,760 Speaker 1: All right, let's uh, let's take a quick break and 280 00:17:02,760 --> 00:17:06,040 Speaker 1: then we're gonna come back and uh talk about the 281 00:17:06,520 --> 00:17:10,080 Speaker 1: big news story that like basically didn't happen yesterday because 282 00:17:10,080 --> 00:17:13,399 Speaker 1: nobody noticed because it was incredibly poorly timed by Apple. 283 00:17:13,920 --> 00:17:15,760 Speaker 1: The Apple launch event will. 284 00:17:15,560 --> 00:17:26,760 Speaker 2: Be right back and we're back. 285 00:17:27,200 --> 00:17:30,080 Speaker 1: So, Brian the Editor, I always like to have you 286 00:17:30,119 --> 00:17:35,200 Speaker 1: on when we're doing tech talk, a specialty, tech time. 287 00:17:35,760 --> 00:17:39,840 Speaker 6: It's tech time. We got Brian the Editor here tech talk. 288 00:17:41,240 --> 00:17:46,439 Speaker 6: Oh hell yeah. Mainly, I mean it's that you know 289 00:17:46,520 --> 00:17:49,840 Speaker 6: stuff about tech. Also, you nag me every time I 290 00:17:49,880 --> 00:17:51,920 Speaker 6: talk about tech. You're like, you sound like an old 291 00:17:51,960 --> 00:17:54,679 Speaker 6: man who doesn't know about technology, just. 292 00:17:55,680 --> 00:17:56,600 Speaker 4: A little confused. 293 00:17:56,640 --> 00:18:02,240 Speaker 5: Sometimes you know about that Apple announcements as. 294 00:18:02,119 --> 00:18:05,400 Speaker 3: An old man who cares, who needs alert about technology? 295 00:18:05,840 --> 00:18:07,919 Speaker 3: Has Apple got several products for you? 296 00:18:08,200 --> 00:18:12,080 Speaker 1: I know this is I was excited. Other people may 297 00:18:12,119 --> 00:18:14,919 Speaker 1: not have noticed, but I was. I had a Google alert. 298 00:18:15,119 --> 00:18:18,640 Speaker 1: When is Apple going to make a product that can 299 00:18:18,680 --> 00:18:23,600 Speaker 1: monitor my sleep apnea and I'm in business, baby, We're 300 00:18:23,680 --> 00:18:24,960 Speaker 1: in the money. 301 00:18:25,920 --> 00:18:26,000 Speaker 6: No. 302 00:18:26,160 --> 00:18:31,159 Speaker 1: So again, like we said before the break, just horribly timed. Wow, 303 00:18:31,280 --> 00:18:34,880 Speaker 1: the day of the debate and they did. 304 00:18:34,760 --> 00:18:35,800 Speaker 2: A big product launch. 305 00:18:35,880 --> 00:18:38,719 Speaker 1: I saw a couple headlines, but Andrew, you had to 306 00:18:38,760 --> 00:18:42,240 Speaker 1: like remind me that they announced, I mean it just 307 00:18:42,320 --> 00:18:46,920 Speaker 1: iPhone sixteen. And they also announced that AI no longer 308 00:18:46,960 --> 00:18:53,440 Speaker 1: stands for Artificial Intelligence. Now it stands for Apple iPhone 309 00:18:53,840 --> 00:18:57,280 Speaker 1: or Apple really Intelligence. 310 00:18:57,920 --> 00:19:00,520 Speaker 3: What a great like. I mean as as far as 311 00:19:00,600 --> 00:19:06,000 Speaker 3: like taking shots, like trying to basically turn Apple into 312 00:19:06,480 --> 00:19:10,240 Speaker 3: the Kleenex of AI, is like, what a bold move. 313 00:19:10,400 --> 00:19:12,879 Speaker 3: And I think it might work because no one wants 314 00:19:13,119 --> 00:19:15,880 Speaker 3: AI as on a consumer level. 315 00:19:16,080 --> 00:19:19,520 Speaker 2: Right, So it's just a right, a thing. 316 00:19:20,840 --> 00:19:26,960 Speaker 1: That will allow people to interact with AI stuff in 317 00:19:27,000 --> 00:19:28,280 Speaker 1: a way that's less annoying. 318 00:19:28,880 --> 00:19:29,280 Speaker 2: Yeah. 319 00:19:29,400 --> 00:19:32,600 Speaker 4: Yeah, And this is this is typical of Apple. 320 00:19:32,680 --> 00:19:36,200 Speaker 5: They take features that have existed on other platforms for 321 00:19:36,280 --> 00:19:39,240 Speaker 5: quite some time and they rebrand it with their own 322 00:19:39,240 --> 00:19:43,359 Speaker 5: goofy name and uh and pretend like they invented it. 323 00:19:43,840 --> 00:19:45,200 Speaker 4: This is their playbook. 324 00:19:45,560 --> 00:19:48,880 Speaker 1: Yeah, that is kind of their Their move is take 325 00:19:48,920 --> 00:19:52,600 Speaker 1: other people technology, cram it be really mean to a 326 00:19:52,600 --> 00:19:54,639 Speaker 1: bunch of engineers until they can figure out how to 327 00:19:54,640 --> 00:19:55,840 Speaker 1: cram it into your pocket. 328 00:19:56,000 --> 00:19:56,880 Speaker 4: I will give them this. 329 00:19:57,480 --> 00:20:01,679 Speaker 5: They tend to tend to have a little more polish 330 00:20:01,800 --> 00:20:03,760 Speaker 5: when they do come out with something. It's it's a 331 00:20:03,840 --> 00:20:07,320 Speaker 5: little you know, the integrations with their other stuff tends 332 00:20:07,359 --> 00:20:09,600 Speaker 5: to be a little smoother in the competition. 333 00:20:09,600 --> 00:20:12,440 Speaker 1: I will agree iPhones are shiny, and that has been 334 00:20:12,520 --> 00:20:14,160 Speaker 1: my contribution to the conversation. 335 00:20:14,880 --> 00:20:17,600 Speaker 3: Yeah, I mean the fact that they're they're using chat 336 00:20:17,640 --> 00:20:20,879 Speaker 3: GPT instead of their own thing is like such a 337 00:20:20,920 --> 00:20:24,639 Speaker 3: weird like, oh, they're so behind, because like it feels 338 00:20:24,640 --> 00:20:26,760 Speaker 3: like they would if they could have, they would not 339 00:20:26,840 --> 00:20:27,960 Speaker 3: have made a deal with chat. 340 00:20:27,800 --> 00:20:31,320 Speaker 5: Gpt, Right, Well, that's the thing. Everybody made a deal 341 00:20:31,359 --> 00:20:35,840 Speaker 5: with chat gpt. It yeams, like every AI device is 342 00:20:35,840 --> 00:20:40,159 Speaker 5: integrated with open Ai because they've already built the model 343 00:20:40,160 --> 00:20:45,040 Speaker 5: and it's apparently really expensive and for the environment to 344 00:20:45,359 --> 00:20:46,720 Speaker 5: build these language models. 345 00:20:47,240 --> 00:20:49,199 Speaker 4: So I mean that makes sense to me. 346 00:20:49,600 --> 00:20:53,480 Speaker 5: But this is already something that you know, Google and 347 00:20:53,520 --> 00:20:56,359 Speaker 5: Samsung has already put out in the last year or 348 00:20:56,400 --> 00:20:59,080 Speaker 5: so that all their AI integrations, and. 349 00:20:59,200 --> 00:21:02,159 Speaker 4: Yeah, there's a lot of fatigue. So yeah, you're to 350 00:21:02,200 --> 00:21:03,160 Speaker 4: your point Andrew. 351 00:21:03,440 --> 00:21:07,480 Speaker 5: It seems like this, you know, just this little rebrand 352 00:21:07,520 --> 00:21:09,520 Speaker 5: could help make it a little. 353 00:21:09,280 --> 00:21:11,639 Speaker 4: More palatable to be especially Apple people. 354 00:21:13,640 --> 00:21:16,399 Speaker 1: Again, the the whole question with AI, give me like 355 00:21:16,600 --> 00:21:21,000 Speaker 1: three things it can do that iPhone can't currently. 356 00:21:21,160 --> 00:21:25,760 Speaker 5: Basically, they've added things like certain photo features where you 357 00:21:25,800 --> 00:21:29,800 Speaker 5: can add or remove things that were never in the photo. 358 00:21:31,280 --> 00:21:33,159 Speaker 2: Okay, yeah, making Google ads. 359 00:21:34,760 --> 00:21:39,120 Speaker 5: Basically they've reached parody with Google and Samsung with their 360 00:21:39,160 --> 00:21:42,160 Speaker 5: AI features. It's nothing, They're not doing anything new, They're 361 00:21:42,200 --> 00:21:43,480 Speaker 5: just doing it the Apple way. 362 00:21:43,880 --> 00:21:46,000 Speaker 1: That is, like one of the more promising things I've 363 00:21:46,040 --> 00:21:51,080 Speaker 1: heard AI doing is just making photoshop like kind of idiots, 364 00:21:51,080 --> 00:21:54,240 Speaker 1: Like anybody can use photoshop. Anyone can photoshop a thing 365 00:21:54,520 --> 00:21:56,639 Speaker 1: and you don't have to learn a tool, you just 366 00:21:56,720 --> 00:21:58,919 Speaker 1: like intuitively move things around. 367 00:21:59,080 --> 00:22:02,120 Speaker 5: But yeah, they just added the same machine learning features 368 00:22:02,160 --> 00:22:05,640 Speaker 5: that other companies have already done, and it's really they're 369 00:22:05,680 --> 00:22:10,159 Speaker 5: just reaching parody. Same thing with like this Apple AirPods 370 00:22:11,200 --> 00:22:16,800 Speaker 5: for launch, which on its face is a little confusing, 371 00:22:17,280 --> 00:22:21,920 Speaker 5: but basically it is the base model AirPods, which are 372 00:22:22,080 --> 00:22:25,560 Speaker 5: open ear design. They don't have the silicon tips, and 373 00:22:25,600 --> 00:22:29,640 Speaker 5: they are releasing two models. They're releasing one without noise canceling, 374 00:22:29,680 --> 00:22:36,000 Speaker 5: and one with noise canceling, which basically they're achieving parody 375 00:22:36,000 --> 00:22:38,080 Speaker 5: with Samsung because they just released some. 376 00:22:39,880 --> 00:22:42,280 Speaker 3: For these, like active cancelation. 377 00:22:42,920 --> 00:22:46,399 Speaker 5: Yeah, but they're open, so the noise cancelation is not 378 00:22:46,440 --> 00:22:49,400 Speaker 5: going to be like what most people expect of noise 379 00:22:49,440 --> 00:22:54,240 Speaker 5: canceling because your ear canal isn't sealed. So I'm expecting 380 00:22:55,640 --> 00:22:59,360 Speaker 5: mixed reviews on this sort of thing because there's there's 381 00:22:59,400 --> 00:23:01,760 Speaker 5: going to be some understandings. People are going to buy 382 00:23:01,800 --> 00:23:03,600 Speaker 5: this thinking that it's going you're gonna be able to 383 00:23:03,600 --> 00:23:05,960 Speaker 5: get on a plane and block out all the sound, 384 00:23:06,320 --> 00:23:08,240 Speaker 5: and that's just not the case with this form factor. 385 00:23:10,040 --> 00:23:11,560 Speaker 5: But you know, they're trying to. 386 00:23:11,880 --> 00:23:14,920 Speaker 3: They're trying to just it just generates everybody the negative 387 00:23:14,960 --> 00:23:16,080 Speaker 3: sound wave, right. 388 00:23:16,400 --> 00:23:19,640 Speaker 5: Yeah, but it works a lot better the better passive 389 00:23:19,720 --> 00:23:22,920 Speaker 5: noise canceling you have, Like the more you're your canal 390 00:23:23,040 --> 00:23:25,480 Speaker 5: is seeing, the better the noise canceling will work. 391 00:23:26,520 --> 00:23:29,600 Speaker 4: So if you're the more mouth, it can only do 392 00:23:29,680 --> 00:23:30,040 Speaker 4: so much. 393 00:23:30,520 --> 00:23:35,000 Speaker 5: Sure, and the yeah, like you know, it's really this 394 00:23:35,160 --> 00:23:37,159 Speaker 5: is I wouldn't call it catch up, but they're just 395 00:23:37,640 --> 00:23:40,119 Speaker 5: achieving parody with everybody else. 396 00:23:40,440 --> 00:23:43,600 Speaker 1: But just like because most people have iPhones, or because 397 00:23:43,600 --> 00:23:45,720 Speaker 1: a lot of people have iPhones, it'll just be more 398 00:23:45,920 --> 00:23:47,439 Speaker 1: present to them. 399 00:23:47,600 --> 00:23:51,800 Speaker 5: Yeah, yeah, they have the the hearing aid functionality. 400 00:23:52,440 --> 00:23:54,600 Speaker 3: That was a small clip that I saw, which is 401 00:23:54,640 --> 00:23:57,359 Speaker 3: they made a big deal that it can be like 402 00:23:57,359 --> 00:24:01,600 Speaker 3: like replaced like a hearing aid medical device, which just 403 00:24:01,720 --> 00:24:03,600 Speaker 3: to me, I mean, I know it's that they're like 404 00:24:03,680 --> 00:24:06,040 Speaker 3: reaching out to like a broad audience, but it just 405 00:24:06,160 --> 00:24:09,480 Speaker 3: definitely started to feel like, right, this is boomer time. 406 00:24:09,800 --> 00:24:12,159 Speaker 3: Like they're like, the screen is so much bigger on 407 00:24:12,200 --> 00:24:15,640 Speaker 3: the Apple Watch. You can make the font humongous, and 408 00:24:15,800 --> 00:24:18,280 Speaker 3: like you can use this instead of your like medical 409 00:24:18,320 --> 00:24:18,920 Speaker 3: hearing aid. 410 00:24:19,320 --> 00:24:21,280 Speaker 4: Right, Well, when you think about it, it kind of 411 00:24:21,280 --> 00:24:23,080 Speaker 4: makes sense. 412 00:24:23,760 --> 00:24:25,439 Speaker 5: I know, you're like kind of kidding, but it's like 413 00:24:26,119 --> 00:24:29,160 Speaker 5: the numbers on how many teens and young adults use 414 00:24:29,240 --> 00:24:33,320 Speaker 5: iPhones is staggering. So the only the only demographic left 415 00:24:33,320 --> 00:24:35,480 Speaker 5: they need to get is old people. 416 00:24:35,800 --> 00:24:37,960 Speaker 2: Yeah, wait, young people don't use iPhones. 417 00:24:38,240 --> 00:24:41,320 Speaker 5: No, young people overwhelmingly use already. 418 00:24:41,040 --> 00:24:44,679 Speaker 1: Knows they don't have to even think about it. 419 00:24:44,800 --> 00:24:48,200 Speaker 5: Sell more iPhones to to the kids because they all 420 00:24:48,359 --> 00:24:50,159 Speaker 5: have them, So you got to sell it to the 421 00:24:50,240 --> 00:24:54,119 Speaker 5: parents and the grandparents and and yeah, like once again, 422 00:24:54,280 --> 00:24:58,760 Speaker 5: this is achieving parody with Samsung because they've had this feature. 423 00:24:58,880 --> 00:24:59,800 Speaker 4: For a couple of years now. 424 00:25:00,160 --> 00:25:05,560 Speaker 5: I use it to for nerdy things, but it works 425 00:25:05,720 --> 00:25:09,439 Speaker 5: pretty I used to diagnose like mechanical issues, but it. 426 00:25:09,480 --> 00:25:12,080 Speaker 4: Works pretty well, i'd say. 427 00:25:13,080 --> 00:25:16,160 Speaker 5: And Apple, they tend to like to get their medical 428 00:25:16,640 --> 00:25:21,200 Speaker 5: sort of type things FDA approved, so I don't know 429 00:25:21,240 --> 00:25:23,240 Speaker 5: what they're doing with that, but they tend to go 430 00:25:23,320 --> 00:25:24,840 Speaker 5: pretty hard with this sort of stuff. 431 00:25:24,960 --> 00:25:26,920 Speaker 3: I think they said in the in the thing that 432 00:25:27,000 --> 00:25:30,480 Speaker 3: it was close or they were pursuing it, or like, yeah, 433 00:25:30,600 --> 00:25:33,040 Speaker 3: FDA approval for the for the hearing aid. 434 00:25:33,240 --> 00:25:37,040 Speaker 4: So yeah, I feel like that would work pretty well. 435 00:25:37,280 --> 00:25:39,560 Speaker 4: And you know, my mom just. 436 00:25:39,480 --> 00:25:42,840 Speaker 5: Got hearing aids, and hearing aids are expensive like the 437 00:25:43,480 --> 00:25:47,000 Speaker 5: medical ones, so having this is an option is pretty cool. 438 00:25:47,280 --> 00:25:47,560 Speaker 2: Yeah. 439 00:25:47,640 --> 00:25:49,960 Speaker 1: I just use an ear horn like one of those 440 00:25:50,240 --> 00:25:53,200 Speaker 1: holes and make people speak into it, and that's actually 441 00:25:53,200 --> 00:25:53,920 Speaker 1: pretty helvy. 442 00:25:54,000 --> 00:25:58,840 Speaker 5: You urchin what the consumer branch of Sennheiser moved into 443 00:25:58,880 --> 00:26:03,359 Speaker 5: this space of years ago, and they're sort of adding 444 00:26:03,400 --> 00:26:06,560 Speaker 5: those features to their products as well. So this is 445 00:26:06,600 --> 00:26:08,840 Speaker 5: this is just where the market is moving, where they're 446 00:26:08,880 --> 00:26:13,360 Speaker 5: kind of merging, you know, hearing aids and earbuds together. 447 00:26:14,440 --> 00:26:17,320 Speaker 1: Yeah, there's gonna be like a larger group of very 448 00:26:17,359 --> 00:26:21,439 Speaker 1: old people on the planet. Yeah, for the next thirty 449 00:26:21,520 --> 00:26:23,040 Speaker 1: years than has ever been true. 450 00:26:23,320 --> 00:26:25,960 Speaker 3: You know, well, especially if you slice it to what's 451 00:26:26,000 --> 00:26:31,160 Speaker 3: the population that can afford iPhones. Yeah, it's like, oh yeah. 452 00:26:30,640 --> 00:26:34,160 Speaker 1: Yeah, they're not letting go of their money anytime. Yeah. 453 00:26:34,240 --> 00:26:37,040 Speaker 3: I will say the one they may have gotten me 454 00:26:37,119 --> 00:26:40,480 Speaker 3: with the single like AI thing that I actually want 455 00:26:40,520 --> 00:26:44,960 Speaker 3: to use, which is on the fly AI emojis so 456 00:26:45,000 --> 00:26:49,040 Speaker 3: they can use. So the example they use in this 457 00:26:49,080 --> 00:26:52,119 Speaker 3: Guardian article is like you can type in cowboy frog 458 00:26:52,640 --> 00:26:55,119 Speaker 3: and it'll put a cowboy hat on the frog emoji 459 00:26:55,200 --> 00:26:57,560 Speaker 3: and it'll that is an emoji that you can put 460 00:26:57,600 --> 00:26:59,280 Speaker 3: into like your texts or whatever. 461 00:27:00,200 --> 00:27:00,800 Speaker 2: That's fun. 462 00:27:01,280 --> 00:27:05,760 Speaker 5: Yeah, yeah, once again achieving parody with the competition. 463 00:27:07,760 --> 00:27:10,000 Speaker 4: It's all of this stuff. This is kind of a 464 00:27:10,040 --> 00:27:14,280 Speaker 4: nothing burger for me. This is just their playbook. 465 00:27:14,400 --> 00:27:17,919 Speaker 5: They they let everybody get out of the gate and 466 00:27:17,960 --> 00:27:21,359 Speaker 5: then they pull up from behind and sort of quote 467 00:27:21,440 --> 00:27:24,720 Speaker 5: unquote perfect these things when they get around to it 468 00:27:25,200 --> 00:27:27,159 Speaker 5: and once again pretend like they invented it. 469 00:27:28,440 --> 00:27:30,520 Speaker 2: That's worth stealing essentially. 470 00:27:30,320 --> 00:27:32,600 Speaker 5: Yeah, which is not a bad thing to do. You 471 00:27:32,600 --> 00:27:34,520 Speaker 5: don't want to be first the market. Look at everything 472 00:27:34,520 --> 00:27:36,960 Speaker 5: that you know, like, look at friends, their look at 473 00:27:37,240 --> 00:27:40,000 Speaker 5: you know, all these things from the tech world. Being 474 00:27:40,080 --> 00:27:42,520 Speaker 5: first is not the best thing you want to be. 475 00:27:43,400 --> 00:27:45,440 Speaker 5: You want to come in and crush it. You don't 476 00:27:45,440 --> 00:27:49,639 Speaker 5: want to be first necessarily. So yeah, it's not a 477 00:27:49,680 --> 00:27:50,600 Speaker 5: bad strategy. 478 00:27:51,040 --> 00:27:53,960 Speaker 3: This is this is I was like, oh man, all right, 479 00:27:54,320 --> 00:27:56,200 Speaker 3: they got me. This is an AI thing that I 480 00:27:56,640 --> 00:27:58,040 Speaker 3: will actually use. 481 00:27:58,560 --> 00:27:59,840 Speaker 2: Yeah, that's fun. 482 00:28:00,200 --> 00:28:01,320 Speaker 4: But as I said it, as I. 483 00:28:01,280 --> 00:28:04,600 Speaker 3: Said prior to us recording, this is literally a trillion 484 00:28:04,680 --> 00:28:06,960 Speaker 3: dollar solution to a ten cent problem. 485 00:28:07,119 --> 00:28:14,879 Speaker 1: So probably not trillion world melting solution to Yeah, all right, 486 00:28:14,920 --> 00:28:20,240 Speaker 1: I don't know, maybe we could do this, Okay, all right, well, 487 00:28:20,240 --> 00:28:23,560 Speaker 1: Brian the editor and the tech expert, thank you so 488 00:28:23,640 --> 00:28:24,800 Speaker 1: much for joining us. 489 00:28:24,800 --> 00:28:26,920 Speaker 2: And Andrew T, thank you so much. 490 00:28:27,200 --> 00:28:28,200 Speaker 3: Thank you for having me. 491 00:28:29,200 --> 00:28:29,879 Speaker 4: This is fun. 492 00:28:30,280 --> 00:28:32,800 Speaker 2: Where can people find you? Follow you? All that could stuff? 493 00:28:33,080 --> 00:28:33,480 Speaker 2: Andrew T? 494 00:28:33,960 --> 00:28:34,920 Speaker 4: He know, is this racist? 495 00:28:34,920 --> 00:28:37,880 Speaker 3: All of our weird premium shows are unsuboptimal pods dot 496 00:28:37,920 --> 00:28:41,400 Speaker 3: com we also have. I didn't mention it on Daily's 497 00:28:41,440 --> 00:28:45,520 Speaker 3: like I did in the future, but my co host 498 00:28:45,560 --> 00:28:49,560 Speaker 3: Tani Newsome just got back from a long trip in Africa, 499 00:28:49,720 --> 00:28:52,400 Speaker 3: and there's some there's some Africa diaries that are pretty 500 00:28:52,400 --> 00:28:54,120 Speaker 3: dope on our premium shows. 501 00:28:54,520 --> 00:28:56,560 Speaker 2: So yes, whatever, subscribe. 502 00:28:56,760 --> 00:29:00,560 Speaker 1: Amazing that is going to do it for us this afternoon. 503 00:29:00,760 --> 00:29:03,200 Speaker 1: We are back tomorrow with a who last episode of 504 00:29:03,240 --> 00:29:06,320 Speaker 1: the show. Until then, be kind to each other, be 505 00:29:06,440 --> 00:29:09,960 Speaker 1: kind to yourselves, get the vaccine, don't do nothing about 506 00:29:09,960 --> 00:29:13,400 Speaker 1: white supremacy, and we will talk to y'all tomorrow. 507 00:29:13,560 --> 00:29:19,640 Speaker 2: Bye peace, Bye,