1
00:00:05,480 --> 00:00:08,800
Speaker 1: Glad I wore the sickest shirt all time.

2
00:00:09,640 --> 00:00:12,600
Speaker 2: Cha Chip and hell adapting ring.

3
00:00:12,800 --> 00:00:16,120
Speaker 1: I'm also on my dark winged dog ship dark. Wow,

4
00:00:16,239 --> 00:00:19,079
Speaker 1: he's not quite he's missing it. He's missing it a

5
00:00:19,079 --> 00:00:20,280
Speaker 1: little bit, but it's right there.

6
00:00:20,360 --> 00:00:27,840
Speaker 2: Yeah, he's gotta be Yeah, all the wow, you kids

7
00:00:27,840 --> 00:00:32,960
Speaker 2: have fun. I'm not wearing ship. I'm wearing a black

8
00:00:33,000 --> 00:00:35,920
Speaker 2: tea man like I'm from New Jersey or something.

9
00:00:36,120 --> 00:00:38,240
Speaker 1: Dephney, Disney merchant at all, beat.

10
00:00:38,120 --> 00:00:40,640
Speaker 2: Up the beat beat beat Uh yeah, man, I got

11
00:00:40,640 --> 00:00:42,920
Speaker 2: a that's Disney merch right there.

12
00:00:43,120 --> 00:00:43,720
Speaker 1: Oh yeah.

13
00:00:43,720 --> 00:00:45,280
Speaker 2: Cooper helmet boom.

14
00:00:45,000 --> 00:00:47,560
Speaker 1: The First Order Trooper, First Order.

15
00:00:48,280 --> 00:00:51,160
Speaker 2: You're in storm Trooper Helmet of the First Order.

16
00:00:54,720 --> 00:00:55,800
Speaker 1: I like that.

17
00:00:56,840 --> 00:01:01,280
Speaker 2: No good, no good reason how the New Yorker writes

18
00:01:01,320 --> 00:01:02,200
Speaker 2: about things.

19
00:01:05,400 --> 00:01:08,639
Speaker 1: Right, that's like that's a headline from like coroissance version

20
00:01:08,680 --> 00:01:13,520
Speaker 1: of the New Yorker. Yeah, like the Chorussanter and it's

21
00:01:13,560 --> 00:01:14,399
Speaker 1: just like whoa well.

22
00:01:16,920 --> 00:01:27,959
Speaker 2: They call themselves the First Order. Hello the Internet, and

23
00:01:28,200 --> 00:01:31,480
Speaker 2: welcome to season three eighty seven, episode four.

24
00:01:31,280 --> 00:01:33,000
Speaker 1: Of Dead Ailey's ee Geist.

25
00:01:33,319 --> 00:01:37,720
Speaker 2: Yes. Yes, it's a production of iHeartRadio. It's a podcast

26
00:01:38,040 --> 00:01:42,240
Speaker 2: where we take a deep dive into America's shared consciousness. Yes,

27
00:01:42,880 --> 00:01:47,640
Speaker 2: it's Thursday, May eighth, twenty twenty five, our first full

28
00:01:47,720 --> 00:01:54,080
Speaker 2: day in the new real ID regime. I hope everybody's

29
00:01:54,480 --> 00:01:57,600
Speaker 2: hanging in there. We're actually going to talk about this

30
00:01:57,680 --> 00:02:02,000
Speaker 2: new real Ide world because the the deadline that they

31
00:02:02,080 --> 00:02:05,640
Speaker 2: kept pushing back finally came for all of our asses

32
00:02:05,720 --> 00:02:11,720
Speaker 2: yesterday May seven, Real Real I d Judge real ID

33
00:02:11,919 --> 00:02:14,679
Speaker 2: Judgment Day. Anyways, we'll get to that. My name is

34
00:02:14,760 --> 00:02:18,840
Speaker 2: Jack O'Brien aka Potatoes O'Brien, and I'm thrilled to be

35
00:02:19,000 --> 00:02:22,560
Speaker 2: joined in our second seat by a hilarious and brilliant

36
00:02:22,560 --> 00:02:25,399
Speaker 2: producer and TV writer you know him from the Yo

37
00:02:25,480 --> 00:02:26,680
Speaker 2: is this racist podcast?

38
00:02:27,040 --> 00:02:31,760
Speaker 1: It's Andrew Too. Save for the record, this one looks

39
00:02:31,800 --> 00:02:35,000
Speaker 1: better on paper than it is gonna sound. Okay, with

40
00:02:35,160 --> 00:02:39,760
Speaker 1: the something bad and it takes birhood, who you gonna

41
00:02:39,760 --> 00:02:45,160
Speaker 1: call it gets worse? Zy trust hers? Oh no, when

42
00:02:45,200 --> 00:02:49,200
Speaker 1: the beef is weird and the memes look good, who

43
00:02:49,320 --> 00:02:52,200
Speaker 1: you gonna call zi? Trust? And this is the worst

44
00:02:52,240 --> 00:02:53,120
Speaker 1: of it gets worse?

45
00:02:55,280 --> 00:03:01,440
Speaker 2: Okay? Yeah, I mean a poster no hosts, no post

46
00:03:01,639 --> 00:03:02,480
Speaker 2: hosts would be better.

47
00:03:02,560 --> 00:03:07,079
Speaker 1: Listen workshopping this, I I got inspired by zeit Trusters

48
00:03:07,320 --> 00:03:11,040
Speaker 1: and z I lost faith in it as soon as we.

49
00:03:11,040 --> 00:03:14,600
Speaker 2: Loved even though what it means. But I do like it.

50
00:03:14,680 --> 00:03:15,840
Speaker 2: I like the un for it.

51
00:03:16,120 --> 00:03:16,760
Speaker 1: Very stupid.

52
00:03:16,800 --> 00:03:21,320
Speaker 2: I'm so sorry that appropriately stupid. Andrew. How are you doing.

53
00:03:21,360 --> 00:03:26,760
Speaker 2: It's great to have you here, fucking great man wearing

54
00:03:26,760 --> 00:03:31,000
Speaker 2: your Chippendale T shirt? R. What are they doing on

55
00:03:31,040 --> 00:03:31,760
Speaker 2: that T shirt?

56
00:03:31,919 --> 00:03:36,280
Speaker 1: This is this is my favorite shirt. It is Chippendale dabbing. Yeah,

57
00:03:36,320 --> 00:03:38,600
Speaker 1: my only regret with this shirt I got. This is

58
00:03:38,640 --> 00:03:42,440
Speaker 1: a real shirt, official Disney merch. I got it. Yeah,

59
00:03:42,480 --> 00:03:45,800
Speaker 1: this is real. This is not This is from when

60
00:03:45,840 --> 00:03:47,880
Speaker 1: I I was working on a show that was shooting

61
00:03:47,960 --> 00:03:50,520
Speaker 1: on the Disney lot and for some reason they gave

62
00:03:50,600 --> 00:03:53,280
Speaker 1: us the employee discount at the Disney store on the lot.

63
00:03:53,920 --> 00:03:57,760
Speaker 1: And this was already in like the this is so

64
00:03:57,840 --> 00:04:00,720
Speaker 1: clearly again it's Chippendale dabbing. For anyone's it's not if

65
00:04:00,760 --> 00:04:03,720
Speaker 1: we're in seeing video. And this was in obviously like

66
00:04:03,760 --> 00:04:06,400
Speaker 1: the fucking clearance bin, and it just struck me as

67
00:04:06,400 --> 00:04:09,000
Speaker 1: the sort of thing that went right off the printing

68
00:04:09,040 --> 00:04:12,680
Speaker 1: press in the fucking evil T shirt factory straight into

69
00:04:12,720 --> 00:04:15,160
Speaker 1: the clearance fin like it had like a shelf life

70
00:04:15,160 --> 00:04:18,039
Speaker 1: of it was relevant. While it was flying in the

71
00:04:18,080 --> 00:04:21,400
Speaker 1: air between the end of the factory and the clearance.

72
00:04:21,040 --> 00:04:24,039
Speaker 2: It just pulled the clearance bin directly up in the

73
00:04:24,120 --> 00:04:24,560
Speaker 2: T shirt.

74
00:04:24,600 --> 00:04:27,640
Speaker 1: Shoot, my biggest short writer is not buying the whole

75
00:04:27,640 --> 00:04:31,560
Speaker 1: stack shirt, just like as a gift you give out

76
00:04:31,600 --> 00:04:35,240
Speaker 1: to people from now on. Yeah, yeah, I love it.

77
00:04:35,600 --> 00:04:38,560
Speaker 2: That is a timeless classic. Okay, they fucked up by

78
00:04:38,600 --> 00:04:42,279
Speaker 2: putting that in the clearance spin that thing rules. What

79
00:04:42,560 --> 00:04:44,680
Speaker 2: year was that?

80
00:04:44,680 --> 00:04:48,560
Speaker 1: The twenty room of nineteen is when I bought this shirt,

81
00:04:48,680 --> 00:04:49,760
Speaker 1: presumably from.

82
00:04:49,680 --> 00:04:54,320
Speaker 2: The ing was a thing in when like early teens.

83
00:04:55,360 --> 00:05:00,280
Speaker 1: Yeah yeah, yeah, maybe I again, I would I this

84
00:05:00,360 --> 00:05:03,560
Speaker 1: went from Boss, I have a great idea to Clarence

85
00:05:03,640 --> 00:05:06,400
Speaker 1: Been in the shortest possible amount of time.

86
00:05:06,520 --> 00:05:10,080
Speaker 2: Whatever, Hey Boss, Yeah yeah, I got a great idea,

87
00:05:10,200 --> 00:05:10,760
Speaker 2: Chip and Dale.

88
00:05:11,720 --> 00:05:15,040
Speaker 1: Every time I go to Disneyland, I try to find

89
00:05:15,200 --> 00:05:18,440
Speaker 1: Chip and Ordale and ask them to dab with this

90
00:05:18,520 --> 00:05:20,599
Speaker 1: as evidence that this is a thing, that their character

91
00:05:20,680 --> 00:05:23,120
Speaker 1: is new and they have never once done it.

92
00:05:23,520 --> 00:05:27,720
Speaker 2: Super broducer Victor has informed us that dabbing became popular

93
00:05:27,760 --> 00:05:30,920
Speaker 2: in the year twenty fifteen. I'm assuming you got.

94
00:05:30,760 --> 00:05:32,560
Speaker 1: That information from Straight to the Trash.

95
00:05:32,720 --> 00:05:35,000
Speaker 2: Anyway, this is my straight put a dash in the middle,

96
00:05:35,080 --> 00:05:38,760
Speaker 2: so I have to assume it came from Andrew were

97
00:05:38,839 --> 00:05:42,680
Speaker 2: thrilled to be joined in our third seat by a

98
00:05:42,839 --> 00:05:46,880
Speaker 2: hilarious comedian actor writer came up in the New York

99
00:05:46,920 --> 00:05:51,159
Speaker 2: improv in Theater Scenes Now in Los Angeles had some

100
00:05:51,279 --> 00:05:56,440
Speaker 2: nice reviews in regional publications like The New Yorker Ever

101
00:05:56,480 --> 00:06:00,440
Speaker 2: Heard of It, who called their acting virtuosic. The New

102
00:06:00,520 --> 00:06:05,359
Speaker 2: York Times called them relentless. They have a new podcast,

103
00:06:05,400 --> 00:06:07,359
Speaker 2: Worse than You. Please, Welcome to the show.

104
00:06:07,640 --> 00:06:09,200
Speaker 1: Mo Fry passes.

105
00:06:12,800 --> 00:06:16,760
Speaker 2: Hi, Yes, Hello, what's going on? How are you on?

106
00:06:16,880 --> 00:06:19,240
Speaker 3: This is so fun. I also forget when you send

107
00:06:19,240 --> 00:06:19,799
Speaker 3: in bios.

108
00:06:19,839 --> 00:06:21,440
Speaker 4: It's like you forget when they're gonna be read aloud

109
00:06:21,440 --> 00:06:22,680
Speaker 4: and you just have to have to sit there and

110
00:06:22,680 --> 00:06:23,880
Speaker 4: it's like humiliate.

111
00:06:23,680 --> 00:06:29,239
Speaker 2: Be embarrassed. Yeah, anytime there's a New Yorker rave about

112
00:06:29,240 --> 00:06:31,960
Speaker 2: somebody on our show, like that's that is the most

113
00:06:32,000 --> 00:06:33,039
Speaker 2: meaningful thing to me.

114
00:06:33,680 --> 00:06:36,320
Speaker 4: It's a calling card, for sure. I'm not I'm not

115
00:06:36,360 --> 00:06:39,440
Speaker 4: shy about that. It's like I could probably get bigger awards,

116
00:06:39,440 --> 00:06:41,080
Speaker 4: and there's certain ones that are here just kind of

117
00:06:41,080 --> 00:06:42,040
Speaker 4: like but did you hear?

118
00:06:42,520 --> 00:06:45,160
Speaker 2: But I don't know if you've heard of New Yorker.

119
00:06:45,640 --> 00:06:47,719
Speaker 2: I also like to call The New Yorker a regional

120
00:06:47,720 --> 00:06:49,200
Speaker 2: publication because.

121
00:06:48,960 --> 00:06:50,440
Speaker 3: It's not not it's not.

122
00:06:52,600 --> 00:06:55,120
Speaker 4: Also, do you guys remember when it was it Paul

123
00:06:55,240 --> 00:06:58,600
Speaker 4: Ryan's like steps on or like Nephew dabbed in front

124
00:06:58,640 --> 00:07:02,080
Speaker 4: of like the Wife or something like over the Bible

125
00:07:02,400 --> 00:07:03,560
Speaker 4: in like twenty sixteen.

126
00:07:04,680 --> 00:07:07,160
Speaker 2: Yeah, lord, I show you the ultimate respect.

127
00:07:09,320 --> 00:07:11,440
Speaker 3: I also wish that you had, like no one's really

128
00:07:11,440 --> 00:07:15,000
Speaker 3: cornered the market on a niche Steve Jobs outfit, because

129
00:07:15,040 --> 00:07:18,000
Speaker 3: like that's like a sort of innocuous just black tea

130
00:07:18,160 --> 00:07:20,840
Speaker 3: and you know, jeans, but someone to have every single

131
00:07:20,920 --> 00:07:24,400
Speaker 3: day to wear Chippendale dabbing shirt, right, is so good.

132
00:07:24,600 --> 00:07:24,800
Speaker 1: Yeah.

133
00:07:24,800 --> 00:07:26,840
Speaker 2: I assumed you were going to get the whole clearance

134
00:07:26,880 --> 00:07:29,200
Speaker 2: been just for it to like give out as gifts,

135
00:07:29,240 --> 00:07:32,600
Speaker 2: But yeah, that's probably the better option, is just you

136
00:07:32,680 --> 00:07:36,640
Speaker 2: have a closet that every single day hang it. Yeah, yeah,

137
00:07:36,800 --> 00:07:38,680
Speaker 2: just a series of.

138
00:07:38,800 --> 00:07:43,600
Speaker 1: I fussed up my life could be so much better efficient.

139
00:07:44,160 --> 00:07:47,200
Speaker 2: Oh man, what a shirt. And by the way, Andrew

140
00:07:47,280 --> 00:07:50,760
Speaker 2: joined the record and showed us his awesome shirt, and

141
00:07:50,800 --> 00:07:54,280
Speaker 2: then super producer Justin had a dark wing duc T shirt.

142
00:07:54,320 --> 00:07:59,120
Speaker 2: All so that's that's the vibe, that's who who we are.

143
00:07:59,680 --> 00:08:02,000
Speaker 3: I got to go find some Scrooge McDuck material. I'm like,

144
00:08:02,040 --> 00:08:02,600
Speaker 3: what are we doing.

145
00:08:03,520 --> 00:08:05,400
Speaker 2: I'm trying to think of what I was watching around

146
00:08:05,440 --> 00:08:09,120
Speaker 2: that time after school, because I definitely, like way too

147
00:08:09,240 --> 00:08:13,360
Speaker 2: late in life, was watching Dark Wing Duck, Chippendale Rescue Rangers.

148
00:08:13,520 --> 00:08:16,200
Speaker 2: I think there was probably another cartoon. I don't think

149
00:08:16,240 --> 00:08:20,200
Speaker 2: Gargoyles was still on, and then like Conan reruns for

150
00:08:20,240 --> 00:08:22,560
Speaker 2: some reason I think came on right after that. So

151
00:08:22,600 --> 00:08:27,440
Speaker 2: I associate Conan, like early Conan with that time. What

152
00:08:27,560 --> 00:08:28,640
Speaker 2: a time to be alive.

153
00:08:28,440 --> 00:08:33,080
Speaker 1: Sifocation, the business model that made weird kids and.

154
00:08:33,000 --> 00:08:35,720
Speaker 4: Now so much Sandford and Sons at like three and

155
00:08:35,760 --> 00:08:37,880
Speaker 4: it's like thanks for a really weird little white girl.

156
00:08:38,200 --> 00:08:42,000
Speaker 2: Yea, all right, we are thrilled to have you here.

157
00:08:42,040 --> 00:08:43,880
Speaker 2: We're going to get to know you a little bit

158
00:08:43,880 --> 00:08:47,240
Speaker 2: better in a moment. First, a couple of things that

159
00:08:47,280 --> 00:08:48,839
Speaker 2: we're going to be talking about later, A couple of

160
00:08:48,920 --> 00:08:53,320
Speaker 2: news stories that are in the zeitgeist. Obviously, the Real

161
00:08:53,400 --> 00:08:56,200
Speaker 2: I D Is in the zeitgeist, so we're gonna talk

162
00:08:56,240 --> 00:08:59,559
Speaker 2: about the history of this real id act where it's

163
00:08:59,559 --> 00:09:02,400
Speaker 2: like we need to make sure that our ideas are

164
00:09:02,600 --> 00:09:10,000
Speaker 2: even realer, un unfakeable, unfuck withable, and it's terrible. The

165
00:09:10,120 --> 00:09:13,719
Speaker 2: history is terrible of just like ID in America, of

166
00:09:13,800 --> 00:09:17,839
Speaker 2: this particular, the real id Act. It was passed back

167
00:09:17,840 --> 00:09:19,920
Speaker 2: in two thousand and five. See if you can guess

168
00:09:20,000 --> 00:09:22,560
Speaker 2: what was going on back then. And then we're going

169
00:09:22,640 --> 00:09:26,280
Speaker 2: to talk about how it's like not even real. It's

170
00:09:26,320 --> 00:09:29,000
Speaker 2: that you don't actually you don't actually need a real

171
00:09:29,040 --> 00:09:33,000
Speaker 2: idea to travel apparently. Oh god, yeah, so we'll talk

172
00:09:33,000 --> 00:09:35,880
Speaker 2: about that. Talk about my favorite news story I've read

173
00:09:35,880 --> 00:09:40,120
Speaker 2: this week, which is Tesla's inventory of unsold cyber trucks

174
00:09:40,240 --> 00:09:45,480
Speaker 2: skyrockets despite offering huge discounts. I just this article just

175
00:09:45,559 --> 00:09:49,120
Speaker 2: made me happy, like in a way, just like the hater,

176
00:09:49,400 --> 00:09:53,480
Speaker 2: my inner hater. I'm just like fuck yeah, oh yeah.

177
00:09:53,920 --> 00:09:59,200
Speaker 2: Sarah Rump for Mediaite, just write it directly into my veins. Shoot,

178
00:09:59,240 --> 00:09:59,720
Speaker 2: it really is.

179
00:10:00,000 --> 00:10:03,240
Speaker 1: It's delightful. Everything about this it just goes. It goes

180
00:10:03,280 --> 00:10:04,360
Speaker 1: from like grin to.

181
00:10:04,320 --> 00:10:07,640
Speaker 4: Grid as you read, like cyber truck people also like

182
00:10:07,760 --> 00:10:09,600
Speaker 4: want to sort of be combative and want you to

183
00:10:09,640 --> 00:10:11,400
Speaker 4: hate them, But I'm like no, it's just like Sean

184
00:10:11,480 --> 00:10:13,480
Speaker 4: and Freud like, I'm so embarrassed for you guys.

185
00:10:13,960 --> 00:10:14,160
Speaker 1: Yeah.

186
00:10:14,520 --> 00:10:20,079
Speaker 2: Yeah, it's just so conspicuous. It doesn't look like anything else.

187
00:10:20,280 --> 00:10:22,800
Speaker 2: Like I just I can hear like a dumb horn

188
00:10:22,960 --> 00:10:27,040
Speaker 2: playing in my head, like a dumb yeah. Like every

189
00:10:27,040 --> 00:10:29,400
Speaker 2: time it's driving down the street, I'm just like, uh,

190
00:10:29,920 --> 00:10:31,160
Speaker 2: you look like shit.

191
00:10:31,640 --> 00:10:33,800
Speaker 1: I don't know if it's it was on this podcast,

192
00:10:33,920 --> 00:10:36,040
Speaker 1: but I did find the ideal. I did see the

193
00:10:36,080 --> 00:10:39,000
Speaker 1: ideal use for a cyber truck in Echo Park, which

194
00:10:39,120 --> 00:10:41,319
Speaker 1: was there's one in my neighborhood. Is a couple of

195
00:10:41,360 --> 00:10:44,679
Speaker 1: bucks away that is wrapped in a vinyl wrap promotion

196
00:10:44,920 --> 00:10:49,640
Speaker 1: for a vape juice store. That the first perfect use

197
00:10:49,679 --> 00:10:50,439
Speaker 1: of a cybergruck.

198
00:10:51,280 --> 00:10:53,840
Speaker 2: That is the final form of the cyber truck.

199
00:10:54,040 --> 00:10:55,880
Speaker 3: I feel like that's radioactive, Like don't touch that.

200
00:10:56,480 --> 00:10:59,720
Speaker 1: Oh my god. No, everything does welt in its wake.

201
00:10:59,800 --> 00:11:04,000
Speaker 1: But it is like, yeah, there's like that's my neighborhood.

202
00:11:04,160 --> 00:11:06,839
Speaker 2: That is, I think it's in my neighborhood. I'd like

203
00:11:07,000 --> 00:11:10,000
Speaker 2: see it all the time, and it's got a it's

204
00:11:10,000 --> 00:11:15,320
Speaker 2: covered in a shadow from Sonic three, like the character

205
00:11:15,400 --> 00:11:20,720
Speaker 2: shadow from Sonic three, like decal. It was just like again,

206
00:11:20,800 --> 00:11:24,120
Speaker 2: it's like that's kind of like it should be designed

207
00:11:24,280 --> 00:11:25,199
Speaker 2: like us.

208
00:11:25,280 --> 00:11:29,440
Speaker 1: You should come with that stopping job.

209
00:11:32,160 --> 00:11:33,920
Speaker 4: Tell these people they can put that on a Honda.

210
00:11:34,000 --> 00:11:37,200
Speaker 4: It's like we are saying this much money, and like,

211
00:11:37,240 --> 00:11:39,560
Speaker 4: am I most generous? I'm like, sure, car shapes and

212
00:11:39,559 --> 00:11:42,680
Speaker 4: colors have been so homogenized and that's terrifying. Most generously,

213
00:11:42,720 --> 00:11:45,120
Speaker 4: I can say, you want to stand out again, put

214
00:11:45,120 --> 00:11:48,000
Speaker 4: that decal on a Honda, Like what are we doing?

215
00:11:49,120 --> 00:11:54,600
Speaker 2: They just the timing wasn't great for them. They had

216
00:11:54,600 --> 00:11:57,480
Speaker 2: it on back order. They were ordering their cyber trucks.

217
00:11:57,480 --> 00:12:00,280
Speaker 2: And then the guy came out and gave went full

218
00:12:00,360 --> 00:12:06,160
Speaker 2: strange love on the global media center stage, just a

219
00:12:06,160 --> 00:12:09,720
Speaker 2: full Nazi salute. Oh you gotta feel for them, not

220
00:12:09,800 --> 00:12:14,679
Speaker 2: at all, you have to feel something I do. It

221
00:12:14,760 --> 00:12:18,640
Speaker 2: is we'll figure out what and we'll talk about AI

222
00:12:18,800 --> 00:12:22,360
Speaker 2: if we get to it. There's an expert who thinks

223
00:12:22,679 --> 00:12:25,320
Speaker 2: who's like talking about He used to be Uber's head

224
00:12:25,320 --> 00:12:27,960
Speaker 2: of AI, so he has all the bona fides of

225
00:12:28,000 --> 00:12:31,440
Speaker 2: being like a shitty AI dude, and everything he says

226
00:12:31,480 --> 00:12:33,840
Speaker 2: about AI makes sense. He's like this bubble is about

227
00:12:33,840 --> 00:12:37,040
Speaker 2: to pop, like this whole thing is a disaster and

228
00:12:37,360 --> 00:12:39,280
Speaker 2: it all just like makes sense. He's like, it's good

229
00:12:39,280 --> 00:12:42,040
Speaker 2: at mimicry, and that's it. It's not good at the

230
00:12:42,040 --> 00:12:44,400
Speaker 2: things it claims to be good at, and it's like

231
00:12:44,520 --> 00:12:48,120
Speaker 2: actually not getting better, It's actually getting worse as they

232
00:12:48,160 --> 00:12:51,000
Speaker 2: continue to develop it down this road. So maybe we'll

233
00:12:51,000 --> 00:12:54,079
Speaker 2: talk about that plenty more. But first mo, we do

234
00:12:54,200 --> 00:12:57,480
Speaker 2: like to ask our guests, what is something from your

235
00:12:57,679 --> 00:13:01,000
Speaker 2: search history that's revealing about who you are?

236
00:13:01,640 --> 00:13:05,680
Speaker 4: Okay, well here's my thing. I'm a Googler, That's what

237
00:13:05,720 --> 00:13:08,960
Speaker 4: I'll say. We start there, like anything. If I have

238
00:13:08,960 --> 00:13:11,040
Speaker 4: a thought, I'm eight hundred Google's in you know what

239
00:13:11,080 --> 00:13:14,400
Speaker 4: I mean. Yeah, And so already we're I'm going to

240
00:13:14,440 --> 00:13:16,200
Speaker 4: tell you that I had to like go on my

241
00:13:16,400 --> 00:13:20,360
Speaker 4: extra history to find it because I I delete everything

242
00:13:20,440 --> 00:13:25,160
Speaker 4: I Google. It's like, I'm not I know, I'm not

243
00:13:25,240 --> 00:13:27,400
Speaker 4: hiding anything. I know the data is tracked, but emotionally

244
00:13:27,440 --> 00:13:30,880
Speaker 4: it feels better to just like no one knows I

245
00:13:30,920 --> 00:13:32,400
Speaker 4: wrote it down. Oh I had a couple of good

246
00:13:32,400 --> 00:13:33,040
Speaker 4: ones I had.

247
00:13:33,360 --> 00:13:36,880
Speaker 2: By the way. Uh, you know, if you're a person

248
00:13:36,880 --> 00:13:39,560
Speaker 2: who likes to go from thought to Google really quickly,

249
00:13:39,600 --> 00:13:41,960
Speaker 2: Elon Musk has a new product that you're in love.

250
00:13:42,400 --> 00:13:44,320
Speaker 3: Oh yeah, it's beta, it's in my brain right now,

251
00:13:44,559 --> 00:13:46,160
Speaker 3: you haven't already.

252
00:13:47,360 --> 00:13:47,800
Speaker 1: Amazing.

253
00:13:48,240 --> 00:13:48,920
Speaker 3: Absolutely.

254
00:13:50,960 --> 00:13:54,040
Speaker 4: My two ones I think that are most revealing were one,

255
00:13:54,280 --> 00:13:58,800
Speaker 4: what essential oil smell like leather? Because I really like

256
00:13:58,920 --> 00:14:02,600
Speaker 4: this one perfume, but it's not non toxic and it's

257
00:14:02,640 --> 00:14:03,400
Speaker 4: really expensive.

258
00:14:04,000 --> 00:14:05,440
Speaker 2: It's not non toxic.

259
00:14:05,720 --> 00:14:10,240
Speaker 1: Yeah, much toxic toxic, it's not toxic.

260
00:14:14,640 --> 00:14:19,880
Speaker 4: My favorite Indian restaurant back in Madison says on the

261
00:14:19,920 --> 00:14:23,400
Speaker 4: window excellent vegetarian and non vegetarian food.

262
00:14:26,440 --> 00:14:27,640
Speaker 1: It is covering the bases.

263
00:14:27,800 --> 00:14:32,480
Speaker 2: Yes, So you like a perfume that smells like leather,

264
00:14:33,520 --> 00:14:37,000
Speaker 2: A scent that smells like leather that is toxic, and

265
00:14:37,040 --> 00:14:40,480
Speaker 2: so you're wondering if you can mimic it via essential oil.

266
00:14:40,680 --> 00:14:41,440
Speaker 3: Yes, exactly.

267
00:14:42,960 --> 00:14:45,440
Speaker 4: And then my other google I thought was revealing was

268
00:14:45,760 --> 00:14:48,640
Speaker 4: symptoms of hepatitis A because I saw there was an

269
00:14:48,640 --> 00:14:51,600
Speaker 4: outbreak in LA and it's it's like I think it's

270
00:14:51,600 --> 00:14:54,960
Speaker 4: like fecal and oral transmission and everyone's nasty. So I

271
00:14:55,000 --> 00:14:57,280
Speaker 4: was kind of like, oh God, I have to be ready,

272
00:14:57,360 --> 00:14:59,520
Speaker 4: like we have to look for in symptoms in myself

273
00:14:59,560 --> 00:15:00,000
Speaker 4: and others.

274
00:15:00,440 --> 00:15:03,920
Speaker 2: I don't know how I can't. I can't keep track

275
00:15:03,960 --> 00:15:07,920
Speaker 2: of all the heps what hepe is fecal. It's like

276
00:15:08,960 --> 00:15:09,320
Speaker 2: I think the.

277
00:15:09,680 --> 00:15:15,080
Speaker 1: Food one if I recall okay, other the craziest hepatitis

278
00:15:15,400 --> 00:15:19,320
Speaker 1: that I dodged one time was there's a place in

279
00:15:20,640 --> 00:15:23,280
Speaker 1: uh kind of like like South LA that serves blood

280
00:15:23,320 --> 00:15:26,000
Speaker 1: clams savice. And I did not know at the time

281
00:15:26,200 --> 00:15:28,400
Speaker 1: that blood clam, the little blood part of the blood

282
00:15:28,400 --> 00:15:30,760
Speaker 1: clam is close enough to human blood that hepatitis s

283
00:15:30,880 --> 00:15:31,440
Speaker 1: could live in.

284
00:15:32,200 --> 00:15:34,720
Speaker 3: Oh oh my god.

285
00:15:35,160 --> 00:15:38,280
Speaker 2: I mean, Andrew, I gotta say this would be one

286
00:15:38,280 --> 00:15:41,360
Speaker 2: of these situations that if if you had gone it

287
00:15:41,360 --> 00:15:45,440
Speaker 2: that way, I would have been like, on the one hand,

288
00:15:45,560 --> 00:15:48,160
Speaker 2: I love you. On the other hand, like you ate

289
00:15:48,200 --> 00:15:50,280
Speaker 2: something called blood clams cevice.

290
00:15:50,880 --> 00:15:54,120
Speaker 1: Yeah. Yeah, they also serve him on the half shot.

291
00:15:54,760 --> 00:15:56,040
Speaker 2: And was it delicious?

292
00:15:56,640 --> 00:16:00,960
Speaker 1: I wouldn't be. I'm a pretty like just fucking do it.

293
00:16:00,960 --> 00:16:03,280
Speaker 1: It was a little much for me. It mostly tastes

294
00:16:03,320 --> 00:16:07,680
Speaker 1: like a big old it's the blood bloody clams dogs.

295
00:16:07,760 --> 00:16:12,040
Speaker 1: Does it taste metally, Yeah, yeah, it's like it's not iron.

296
00:16:12,120 --> 00:16:15,960
Speaker 1: I mean it's it's like iron a proto hemoglobin sack.

297
00:16:16,960 --> 00:16:19,680
Speaker 1: It's the thing. It's like the miracle of evolution where

298
00:16:19,720 --> 00:16:21,840
Speaker 1: you're like, oh, this is when it was clam and

299
00:16:21,840 --> 00:16:25,360
Speaker 1: then probably this became blood. That's fucking anyway, Sorry, sorry

300
00:16:25,400 --> 00:16:30,840
Speaker 1: for that's important. Yeah it was clams.

301
00:16:31,360 --> 00:16:33,400
Speaker 2: Is that how they described it to you when they

302
00:16:33,480 --> 00:16:34,360
Speaker 2: when they were like.

303
00:16:34,760 --> 00:16:40,200
Speaker 1: Not there, this was this was this was a Wikipedia Yeah.

304
00:16:40,120 --> 00:16:42,840
Speaker 3: Yeah, this is after you're like, maybe I have HEPSI.

305
00:16:43,240 --> 00:16:46,520
Speaker 2: Yeah yeah, yeah, you know you got to do some

306
00:16:46,520 --> 00:16:50,200
Speaker 2: some wild ship to feel live these days and feel

307
00:16:50,240 --> 00:16:53,920
Speaker 2: dead and and then actually be dead, you know.

308
00:16:54,600 --> 00:16:55,240
Speaker 3: So important.

309
00:16:55,520 --> 00:16:59,600
Speaker 2: Anyways, Well, we hope the googling on the symptoms of

310
00:17:00,080 --> 00:17:03,360
Speaker 2: Pepe any any surprising symptoms there is that the one

311
00:17:03,360 --> 00:17:04,560
Speaker 2: that turned your eyes yellow?

312
00:17:05,000 --> 00:17:07,280
Speaker 3: Yeah, because it's a liver disease and seaundice.

313
00:17:07,400 --> 00:17:09,439
Speaker 4: Here's the tough part though, It kind of like plays

314
00:17:09,480 --> 00:17:12,160
Speaker 4: out on its own, and I feel like there's such

315
00:17:12,240 --> 00:17:15,359
Speaker 4: like a prevalence of liver issues just in like our

316
00:17:15,400 --> 00:17:18,080
Speaker 4: generation because of toxic load that I'm kind of like,

317
00:17:18,160 --> 00:17:23,920
Speaker 4: I will it play out, like yeah.

318
00:17:22,080 --> 00:17:24,000
Speaker 1: We'll just kind of and mix in with all the

319
00:17:24,040 --> 00:17:26,960
Speaker 1: other ship and then it's it's part of a balance

320
00:17:27,119 --> 00:17:28,600
Speaker 1: rather than a disease on its own.

321
00:17:28,880 --> 00:17:33,160
Speaker 3: Say that that's probably true.

322
00:17:33,200 --> 00:17:33,720
Speaker 1: I just do.

323
00:17:34,880 --> 00:17:35,800
Speaker 2: That's what we're here for.

324
00:17:36,240 --> 00:17:38,960
Speaker 1: Not only not a doctor on the opposite of a doctor.

325
00:17:39,160 --> 00:17:39,960
Speaker 1: Whatever that is.

326
00:17:40,440 --> 00:17:42,880
Speaker 2: Vibes based medicine is what we practice here.

327
00:17:43,400 --> 00:17:43,480
Speaker 1: Mo.

328
00:17:43,640 --> 00:17:45,080
Speaker 2: What is something you think is underrated?

329
00:17:45,359 --> 00:17:45,560
Speaker 1: Oh?

330
00:17:45,720 --> 00:17:46,880
Speaker 3: Non lucrative hobbies?

331
00:17:48,480 --> 00:17:48,840
Speaker 2: Love it?

332
00:17:48,920 --> 00:17:50,520
Speaker 3: Yeah, hugely underrated. I am.

333
00:17:50,960 --> 00:17:54,240
Speaker 4: There was an injured baby hummingbird in my backyard last

334
00:17:54,280 --> 00:17:58,640
Speaker 4: week and this I texted this woman who like runs

335
00:17:58,680 --> 00:18:02,320
Speaker 4: a hummingbird Sayingtuary and she happened to have a woman

336
00:18:02,760 --> 00:18:05,560
Speaker 4: who volunteers for her that was near my apartment, and

337
00:18:05,600 --> 00:18:07,400
Speaker 4: it was like, I go to her place and it's

338
00:18:07,400 --> 00:18:09,760
Speaker 4: her hobby. She has a full time job, but she

339
00:18:09,960 --> 00:18:13,640
Speaker 4: just like rehabilitates little hummingbirds in her house. And it's

340
00:18:13,640 --> 00:18:15,359
Speaker 4: not like she's doing it on the gram. She's not

341
00:18:15,400 --> 00:18:16,880
Speaker 4: doing it. She just really enjoys it.

342
00:18:16,880 --> 00:18:17,520
Speaker 3: It was awesome.

343
00:18:18,200 --> 00:18:20,439
Speaker 2: How is she coming across the all right? Sorry, my

344
00:18:20,480 --> 00:18:22,800
Speaker 2: braind just went to like a dark place where it's

345
00:18:22,880 --> 00:18:25,200
Speaker 2: like she's injuring those fucking hummingbirds.

346
00:18:25,520 --> 00:18:28,920
Speaker 3: Oh Munchausen's by, Yeah, yeah, how do you find so

347
00:18:29,000 --> 00:18:30,440
Speaker 3: many injured hummingbirds?

348
00:18:31,000 --> 00:18:31,520
Speaker 1: Can I tell you?

349
00:18:31,600 --> 00:18:34,199
Speaker 4: I mean, the little guy is a little barreling through

350
00:18:34,240 --> 00:18:36,359
Speaker 4: the air like a snitch, like you know, like I'm just.

351
00:18:36,440 --> 00:18:39,399
Speaker 2: Like I love hummingbirds. I notice hummingbirds, and I've never

352
00:18:39,520 --> 00:18:42,520
Speaker 2: seen an injured one, but I mean you found one,

353
00:18:42,680 --> 00:18:43,200
Speaker 2: so there you go.

354
00:18:43,600 --> 00:18:47,399
Speaker 1: My mind went straight to like like the hummingbird version

355
00:18:47,560 --> 00:18:50,320
Speaker 1: of like a World War One like battle hospital, so

356
00:18:50,480 --> 00:18:54,359
Speaker 1: like a little like hummingbird frush under one arm and

357
00:18:54,480 --> 00:18:57,000
Speaker 1: a teeny tiny hummingbird cigarette out of the end of

358
00:18:57,040 --> 00:19:01,480
Speaker 1: the of course. Yeah, flashback, hummy.

359
00:19:01,560 --> 00:19:05,040
Speaker 2: I love hummingbirds so much. They're so they just seem

360
00:19:05,160 --> 00:19:11,320
Speaker 2: to be little like droplets of like something operating at

361
00:19:11,400 --> 00:19:15,399
Speaker 2: a different like time space continuum than the rest of us.

362
00:19:15,680 --> 00:19:18,719
Speaker 2: It's just like that thing is moving like a fucking UFO.

363
00:19:18,920 --> 00:19:21,399
Speaker 2: There's no way remarkable. And then you look at the

364
00:19:21,440 --> 00:19:24,520
Speaker 2: weight of their little barrel chest and you go, hell, yeah,

365
00:19:26,480 --> 00:19:31,160
Speaker 2: why are you so proud this little one?

366
00:19:31,240 --> 00:19:32,760
Speaker 3: Can I talk about pride? This little one?

367
00:19:33,000 --> 00:19:35,080
Speaker 4: It was like a baby it had fallen from its nest.

368
00:19:35,160 --> 00:19:37,040
Speaker 4: And the way it looked at me when I was

369
00:19:37,040 --> 00:19:39,080
Speaker 4: like holding it was like, hey, let me down, this

370
00:19:39,160 --> 00:19:41,760
Speaker 4: is humiliating, And it was like they're so proud.

371
00:19:41,880 --> 00:19:47,360
Speaker 2: It was crazy, the ones so tall, Oh you think

372
00:19:47,359 --> 00:19:51,960
Speaker 2: you're so cool? It really was. How's a baby hummingbird?

373
00:19:52,280 --> 00:19:53,040
Speaker 2: Like fingertips?

374
00:19:54,560 --> 00:19:58,640
Speaker 3: Like bizarrely, it was like about this big like like maybe.

375
00:20:00,119 --> 00:20:04,080
Speaker 2: Around yeah intro, wow, I love this. That is amazing,

376
00:20:04,280 --> 00:20:06,399
Speaker 2: And I do think we need to bury ourselves in

377
00:20:06,480 --> 00:20:10,920
Speaker 2: non lucrative hobbies. I've been talking about the trends in

378
00:20:11,480 --> 00:20:14,400
Speaker 2: mundane like people doing mundane ship just for the sake

379
00:20:14,440 --> 00:20:17,200
Speaker 2: of doing mundane stuff on like TikTok, and like the

380
00:20:17,520 --> 00:20:19,560
Speaker 2: video I keep coming back to is like these people

381
00:20:19,600 --> 00:20:23,040
Speaker 2: who made chocolate chip cookies with but like without using

382
00:20:23,080 --> 00:20:25,920
Speaker 2: their hands. They just used the trash grabber things.

383
00:20:26,400 --> 00:20:29,600
Speaker 3: And see this is them the ill school ship that

384
00:20:29,720 --> 00:20:30,600
Speaker 3: rules exactly.

385
00:20:30,760 --> 00:20:32,480
Speaker 2: It's just like that. I feel like we need that

386
00:20:32,680 --> 00:20:37,520
Speaker 2: right now, just like it cut off from any ideological

387
00:20:37,640 --> 00:20:40,560
Speaker 2: content and just like the stuff that people used to do,

388
00:20:40,680 --> 00:20:44,399
Speaker 2: and like when they stuffed themselves into fucking foam booths

389
00:20:44,520 --> 00:20:46,960
Speaker 2: and like sat on flag poles for days.

390
00:20:47,359 --> 00:20:49,720
Speaker 4: My friends and I it was before the garage door

391
00:20:49,720 --> 00:20:52,399
Speaker 4: opener sensor was it. We'd try and roll under it

392
00:20:52,480 --> 00:20:53,359
Speaker 4: like Indiana Joe and.

393
00:20:54,760 --> 00:20:56,359
Speaker 2: Yeah, so dangerous, but it was.

394
00:20:56,800 --> 00:20:58,480
Speaker 3: We spent hours just trying to roll.

395
00:20:58,400 --> 00:21:01,600
Speaker 2: Under its door that way.

396
00:21:01,640 --> 00:21:04,280
Speaker 1: When I was five, you're sort of talking about what

397
00:21:04,440 --> 00:21:06,320
Speaker 1: you want is like if there was a way to

398
00:21:06,400 --> 00:21:09,640
Speaker 1: make a fraternity that was not wildly misogynist exactly.

399
00:21:10,119 --> 00:21:12,280
Speaker 2: Yeah. I just think there are like some things that

400
00:21:12,359 --> 00:21:16,240
Speaker 2: we can take from them, like just pick around the misogyny,

401
00:21:16,480 --> 00:21:19,760
Speaker 2: you know, and there's like a delicious little bites in

402
00:21:19,880 --> 00:21:21,000
Speaker 2: there that you get cake.

403
00:21:21,320 --> 00:21:23,320
Speaker 3: Those bites are sixteen goldfish. They make you.

404
00:21:26,400 --> 00:21:29,440
Speaker 2: Still that don't still mean to cold fish. But I

405
00:21:29,480 --> 00:21:31,600
Speaker 2: thought there's like some non mean stuff real quick.

406
00:21:31,720 --> 00:21:33,800
Speaker 1: Just speaking of chocolate chip cookies, I just want to

407
00:21:33,800 --> 00:21:36,560
Speaker 1: tell you guys about a product that I had recently.

408
00:21:36,600 --> 00:21:40,560
Speaker 1: I visited my sister in Atlanta and she had cinnamon chips,

409
00:21:41,040 --> 00:21:44,240
Speaker 1: which was I mean, that's ultimately was cocoa, butter, sugar

410
00:21:44,320 --> 00:21:46,800
Speaker 1: and cinnamon. But they were the best thing I've ever

411
00:21:46,960 --> 00:21:51,320
Speaker 1: had in a pancake. Holy fuck, oh pancake. Yeah good.

412
00:21:51,720 --> 00:21:54,200
Speaker 4: Can I tell you I am actually a chip huge

413
00:21:54,240 --> 00:21:56,080
Speaker 4: on a cinnamon chip because to me, it is the

414
00:21:56,119 --> 00:21:57,800
Speaker 4: epitome of a nineties coffee house.

415
00:21:57,880 --> 00:21:58,920
Speaker 3: Is a cinnamon chips gone?

416
00:21:59,480 --> 00:21:59,720
Speaker 2: Yeah?

417
00:22:00,880 --> 00:22:02,240
Speaker 1: I had never heard it. Is this the thing that

418
00:22:02,280 --> 00:22:02,840
Speaker 1: you knew about?

419
00:22:02,920 --> 00:22:06,080
Speaker 4: I was shocked it's been forgotten. It's like all a butterscotch.

420
00:22:06,200 --> 00:22:09,200
Speaker 4: It's it's been But it was like, I think all

421
00:22:09,280 --> 00:22:13,359
Speaker 4: the Barnes and Nobles Starbucks hats still have some chips. Okay,

422
00:22:14,000 --> 00:22:16,320
Speaker 4: but it's it's not popular and it's good.

423
00:22:16,359 --> 00:22:19,800
Speaker 1: It's really good. It is mostly cocoa oil or palm

424
00:22:19,840 --> 00:22:20,480
Speaker 1: oil or whatever.

425
00:22:20,680 --> 00:22:24,439
Speaker 3: But oh yeah, whatever, no problem.

426
00:22:24,800 --> 00:22:27,000
Speaker 2: What is something more that you think is overrated?

427
00:22:27,600 --> 00:22:28,320
Speaker 3: Keeping in touch?

428
00:22:31,040 --> 00:22:34,840
Speaker 2: I hate your mouth. This is I am so mad

429
00:22:34,920 --> 00:22:35,919
Speaker 2: at this. I hate it too.

430
00:22:36,720 --> 00:22:39,680
Speaker 4: It's also so overrated because to me, like texting, keeping

431
00:22:39,720 --> 00:22:41,960
Speaker 4: in touch with this certain like there isn't depth to it,

432
00:22:42,119 --> 00:22:44,480
Speaker 4: and so it kind of feels like a performance, like what's.

433
00:22:44,400 --> 00:22:45,080
Speaker 1: Up you doing? Good?

434
00:22:45,359 --> 00:22:46,480
Speaker 3: Okay? Well, was get in touch?

435
00:22:46,600 --> 00:22:47,320
Speaker 1: But I go.

436
00:22:49,040 --> 00:22:51,360
Speaker 4: I love yeah, you love me. I'll see you when

437
00:22:51,359 --> 00:22:53,920
Speaker 4: I see you. If you need me reach out, I'll

438
00:22:54,160 --> 00:22:57,000
Speaker 4: reach out if I need you. Yeah, the whole keeping

439
00:22:57,040 --> 00:22:59,200
Speaker 4: it No, I'm not gonna do it. I'm not gonna

440
00:22:59,280 --> 00:23:01,199
Speaker 4: do it like a.

441
00:23:01,240 --> 00:23:04,320
Speaker 2: Good you know, leave leave it for like an annual

442
00:23:04,760 --> 00:23:08,760
Speaker 2: nice conversation as opposed to a hey, just checking it

443
00:23:08,760 --> 00:23:11,280
Speaker 2: in a right good like you already know what you

444
00:23:11,359 --> 00:23:13,320
Speaker 2: want the answer to be as you're checking in, and

445
00:23:13,400 --> 00:23:14,560
Speaker 2: you want it to be short.

446
00:23:15,840 --> 00:23:18,200
Speaker 4: And it's specific. It's not like emotional check it. It's

447
00:23:18,200 --> 00:23:20,200
Speaker 4: specifically the check in because you feel like you should

448
00:23:20,200 --> 00:23:22,840
Speaker 4: because you care about that person, so you're giving that signal,

449
00:23:22,920 --> 00:23:24,040
Speaker 4: and it's like, no, cut them out.

450
00:23:24,480 --> 00:23:25,440
Speaker 3: They know you love.

451
00:23:25,359 --> 00:23:28,600
Speaker 1: Them, They should know if they love you, they would know.

452
00:23:29,480 --> 00:23:30,880
Speaker 3: Okay, I love for getting a little toxic.

453
00:23:34,160 --> 00:23:36,200
Speaker 2: Actually it's your fault that I don't check in on you.

454
00:23:38,680 --> 00:23:41,119
Speaker 1: My my core group of friends from high school, at

455
00:23:41,200 --> 00:23:44,439
Speaker 1: least four of us have like birthdays a week apart,

456
00:23:45,119 --> 00:23:48,480
Speaker 1: and by the time it's time to text the fourth person,

457
00:23:48,600 --> 00:23:51,400
Speaker 1: it's very tiresome because I am out of shit to say.

458
00:23:51,520 --> 00:23:53,000
Speaker 1: And we have already talked three times.

459
00:23:53,680 --> 00:23:56,200
Speaker 3: He's been dealing with this since he was fourteen. That's

460
00:23:56,280 --> 00:23:56,840
Speaker 3: so funny.

461
00:23:57,040 --> 00:24:00,280
Speaker 1: Yeah, last last dude on the block. It's like I

462
00:24:00,320 --> 00:24:08,399
Speaker 1: already said happy birthday to early twice. Right, all right,

463
00:24:08,520 --> 00:24:09,480
Speaker 1: let's take a quick break.

464
00:24:09,520 --> 00:24:23,040
Speaker 2: We'll come back. We'll talk about real IDs, and we're back,

465
00:24:23,760 --> 00:24:27,479
Speaker 2: and I mean, I gotta ask the group, how are

466
00:24:27,520 --> 00:24:31,560
Speaker 2: we doing on our real IDs? Folks? Mo Andrew, are

467
00:24:31,600 --> 00:24:32,560
Speaker 2: you real id up?

468
00:24:33,640 --> 00:24:39,720
Speaker 1: I let me just make one comment to you, Jack. Yeah,

469
00:24:39,720 --> 00:24:41,399
Speaker 1: I feel like it's more like real id's nuts.

470
00:24:41,920 --> 00:24:42,240
Speaker 2: Thank you.

471
00:24:42,680 --> 00:24:43,200
Speaker 1: There you go.

472
00:24:43,359 --> 00:24:48,280
Speaker 2: I do appreciate you just just dabbed like the Chipmunk

473
00:24:48,560 --> 00:24:51,600
Speaker 2: T shirt. I think I have mine.

474
00:24:51,760 --> 00:24:53,320
Speaker 1: I don't know. I had to get my license for

475
00:24:53,640 --> 00:24:54,320
Speaker 1: renewed last year.

476
00:24:54,359 --> 00:24:56,480
Speaker 4: So that's it, right, That's exactly how I feel. I

477
00:24:56,600 --> 00:24:58,480
Speaker 4: think I have mine, I got it renewed. I don't

478
00:24:58,520 --> 00:25:00,480
Speaker 4: know if I said yes, right.

479
00:25:00,440 --> 00:25:05,200
Speaker 2: Yeah, fuck, I don't know mine. So the story, the

480
00:25:05,320 --> 00:25:08,240
Speaker 2: story should be read in the context that I'm just

481
00:25:08,320 --> 00:25:11,080
Speaker 2: like mad that real ideas are a thing, and that

482
00:25:11,160 --> 00:25:14,720
Speaker 2: I haven't done it yet, but I do think they're stupid. Yeah,

483
00:25:15,280 --> 00:25:19,840
Speaker 2: we've been hearing about them since this The Real ID Act,

484
00:25:20,080 --> 00:25:22,480
Speaker 2: passed back in two thousand and five as a response

485
00:25:22,600 --> 00:25:26,520
Speaker 2: to the nine to eleven Commissions recommendations that the federal

486
00:25:26,560 --> 00:25:30,200
Speaker 2: government set standards for issuance of source of identifications such

487
00:25:30,200 --> 00:25:32,679
Speaker 2: as driver's licenses. Basically just a.

488
00:25:33,440 --> 00:25:38,159
Speaker 1: How's how's their track record on recommend swish one word swish.

489
00:25:38,760 --> 00:25:39,639
Speaker 2: They nailed it.

490
00:25:39,920 --> 00:25:42,840
Speaker 1: Kobe, Kobe from the logo.

491
00:25:43,359 --> 00:25:46,240
Speaker 2: They Yeah, it is bad. It was, you know, war

492
00:25:46,320 --> 00:25:51,120
Speaker 2: on terror, horrible travesty of human rights violations. But yeah,

493
00:25:51,160 --> 00:25:54,200
Speaker 2: they so they put that out there and then kept

494
00:25:54,280 --> 00:25:57,640
Speaker 2: pushing it back, you know, just kept getting pushed back,

495
00:25:58,160 --> 00:26:01,640
Speaker 2: and now they expect us to believe that it wasn't pushed.

496
00:26:01,400 --> 00:26:04,880
Speaker 3: Back I mean, oh what, oh a gaslight?

497
00:26:05,480 --> 00:26:07,240
Speaker 2: We all will? I just feel like I was so

498
00:26:07,400 --> 00:26:09,280
Speaker 2: used to it getting pushed back that I shouldn't have

499
00:26:09,440 --> 00:26:11,520
Speaker 2: to then go out and get it.

500
00:26:12,240 --> 00:26:12,399
Speaker 4: You know.

501
00:26:13,720 --> 00:26:15,639
Speaker 1: Okay, that just feels unfair to.

502
00:26:17,119 --> 00:26:20,720
Speaker 2: So many times I'll just passively get it.

503
00:26:21,200 --> 00:26:24,320
Speaker 4: What makes me laugh is that if you don't get

504
00:26:24,400 --> 00:26:26,520
Speaker 4: it right, you just have to have an extra measure

505
00:26:26,560 --> 00:26:28,879
Speaker 4: of security. I guess, which makes me laugh because it

506
00:26:28,880 --> 00:26:31,400
Speaker 4: reminds me of that remember that early days snapchat meme

507
00:26:31,480 --> 00:26:34,000
Speaker 4: in like twenty fifteen of that Sikh man with the

508
00:26:34,080 --> 00:26:36,560
Speaker 4: turbine and it just he wrote across the screen and

509
00:26:36,600 --> 00:26:38,520
Speaker 4: he's in front of security and goes about to get

510
00:26:38,600 --> 00:26:39,600
Speaker 4: randomly selected.

511
00:26:42,200 --> 00:26:47,280
Speaker 2: Yeah, exactly. It's just a pretext for them to choose

512
00:26:47,480 --> 00:26:50,800
Speaker 2: to give you extra security attention, which I'm assuming they're

513
00:26:50,840 --> 00:26:53,760
Speaker 2: still going to do even if you have the real idea.

514
00:26:54,119 --> 00:26:57,520
Speaker 2: But it's been pushed by Trump recently, specifically as a

515
00:26:57,560 --> 00:27:02,000
Speaker 2: way to target immigrants and give them an extra way

516
00:27:02,480 --> 00:27:06,480
Speaker 2: to you know, stop people, deport people, all all the

517
00:27:06,520 --> 00:27:09,400
Speaker 2: stuff they seem to like to do to people who

518
00:27:09,880 --> 00:27:13,280
Speaker 2: weren't born here, or were but their parents weren't born here,

519
00:27:13,800 --> 00:27:17,240
Speaker 2: or you know, they just protested on behalf of Palestinian people.

520
00:27:17,880 --> 00:27:18,879
Speaker 3: But there's more.

521
00:27:21,280 --> 00:27:24,320
Speaker 2: I mean, and this goes back like American America has

522
00:27:24,400 --> 00:27:30,000
Speaker 2: a long history of identification documents being used to control

523
00:27:30,520 --> 00:27:36,240
Speaker 2: and surveil black people, and it's rooted in the violence

524
00:27:36,280 --> 00:27:40,000
Speaker 2: of slavery, and it's after effects and you know, we

525
00:27:40,160 --> 00:27:42,960
Speaker 2: we've covered this before on the show. But it's just

526
00:27:43,520 --> 00:27:46,399
Speaker 2: a way for the government to impose its will on

527
00:27:46,560 --> 00:27:50,000
Speaker 2: you and cast doubt on you and you know, do

528
00:27:50,119 --> 00:27:53,600
Speaker 2: whatever the fuck they want to you. Basically, and even

529
00:27:53,760 --> 00:27:56,359
Speaker 2: Sarah Pitt, so this is this was just kind of

530
00:27:56,400 --> 00:27:59,160
Speaker 2: a nice like blast from the past where like conservatives

531
00:27:59,200 --> 00:28:02,840
Speaker 2: are bad about this too. They're like, this is just

532
00:28:02,960 --> 00:28:06,480
Speaker 2: big Brother forcing us through more hoops, which like brought

533
00:28:06,560 --> 00:28:10,520
Speaker 2: me back to the era where like conservative people were

534
00:28:10,640 --> 00:28:14,520
Speaker 2: just like annoyed by everything. They were just like anti homework,

535
00:28:14,800 --> 00:28:17,080
Speaker 2: you know, they're just like, I don't want to fucking

536
00:28:17,160 --> 00:28:17,440
Speaker 2: do that.

537
00:28:18,760 --> 00:28:21,560
Speaker 4: Well that's the moment and when these things come about.

538
00:28:21,680 --> 00:28:23,720
Speaker 4: The only kind of hope I have is because you

539
00:28:23,800 --> 00:28:27,040
Speaker 4: can't appeal to empathy or ethics or morals when it

540
00:28:27,080 --> 00:28:31,040
Speaker 4: comes to this, like to crossing whatever aisle quote unquote,

541
00:28:31,359 --> 00:28:35,920
Speaker 4: But when it comes to like bureaucracy and folks having

542
00:28:36,000 --> 00:28:38,160
Speaker 4: to you know, take days off work and go into

543
00:28:38,200 --> 00:28:40,080
Speaker 4: the DMV and go, and you just have to hope

544
00:28:40,080 --> 00:28:42,880
Speaker 4: that money then makes them complain and you're like, Okay,

545
00:28:43,200 --> 00:28:45,360
Speaker 4: maybe there's some some shift that will happen.

546
00:28:45,520 --> 00:28:47,040
Speaker 2: Yeah, I feel like just things are going to get

547
00:28:47,120 --> 00:28:50,720
Speaker 2: more annoying and maybe that will help. Like this makes

548
00:28:50,760 --> 00:28:54,560
Speaker 2: things more annoying, Like obviously the fucking economy like is

549
00:28:54,640 --> 00:28:58,440
Speaker 2: gonna be shitty and make things I don't know annoying

550
00:28:58,640 --> 00:29:02,960
Speaker 2: is the right word, but just harder for people. Tedious, yeah,

551
00:29:03,080 --> 00:29:07,440
Speaker 2: tedious and yeah, just having to over and over just

552
00:29:07,520 --> 00:29:11,400
Speaker 2: like go through jump through bureaucratic hoops to as a

553
00:29:11,520 --> 00:29:15,560
Speaker 2: as a wise philosopher once said aka Sarah Palin a

554
00:29:15,640 --> 00:29:16,600
Speaker 2: few sentences ago.

555
00:29:17,080 --> 00:29:20,120
Speaker 1: It is it is super cute that she like clearly

556
00:29:20,200 --> 00:29:24,680
Speaker 1: didn't get like multiple conservative like rhetoric upgrades. She's still

557
00:29:24,920 --> 00:29:26,880
Speaker 1: doing this like big brother shit, Like what are you

558
00:29:27,040 --> 00:29:29,560
Speaker 1: fucking in nineteen eighty seven? That are you talking about?

559
00:29:29,720 --> 00:29:30,320
Speaker 1: Like you guys are.

560
00:29:30,320 --> 00:29:33,040
Speaker 2: Past that, you guys are a big brother?

561
00:29:33,560 --> 00:29:36,440
Speaker 1: What are you brother for twenty years? What are you

562
00:29:36,560 --> 00:29:37,800
Speaker 1: talking about? Funny?

563
00:29:37,960 --> 00:29:40,480
Speaker 4: I like, I actually like you did her passionately being

564
00:29:40,560 --> 00:29:42,480
Speaker 4: like Hey, you guys, this is pretty scary.

565
00:29:42,600 --> 00:29:48,400
Speaker 2: Huh. But Alex Jones, also like old school you know,

566
00:29:48,680 --> 00:29:53,520
Speaker 2: conservative in some ways, has suggested that Trump's fascist government

567
00:29:53,600 --> 00:29:57,000
Speaker 2: overreach is really just because he's being manipulated to support

568
00:29:57,120 --> 00:30:00,200
Speaker 2: real id so like real idea is actually the thing

569
00:30:01,160 --> 00:30:04,400
Speaker 2: that he's all right, like you've been trying to get

570
00:30:04,440 --> 00:30:07,640
Speaker 2: to so he can like actually they can get like

571
00:30:08,000 --> 00:30:12,080
Speaker 2: more control over you, which I don't know sounds plausible

572
00:30:12,320 --> 00:30:16,680
Speaker 2: at this point. Oh god, but yeah, it just seems.

573
00:30:16,720 --> 00:30:19,640
Speaker 4: It seems tough in these situations because he's right, it's bad,

574
00:30:19,840 --> 00:30:22,600
Speaker 4: but it's like it's because it's barring like you know,

575
00:30:23,360 --> 00:30:26,600
Speaker 4: esl folks from Taylor having the right like test ability

576
00:30:26,840 --> 00:30:29,640
Speaker 4: at the DMV or the right paperwork for people who

577
00:30:29,720 --> 00:30:33,040
Speaker 4: don't have, you know, birth certificates, like all these different things.

578
00:30:33,160 --> 00:30:35,400
Speaker 4: But it's that onion thing where it's kind of like

579
00:30:35,440 --> 00:30:37,120
Speaker 4: worst guy you know agrees with you, and it's.

580
00:30:37,040 --> 00:30:40,120
Speaker 2: Like no, well yeah, And all of their fantasies of

581
00:30:40,480 --> 00:30:43,880
Speaker 2: like conspiracy theories are just them imagining what it would

582
00:30:44,280 --> 00:30:47,120
Speaker 2: what it actually is like for people of color in

583
00:30:47,240 --> 00:30:49,960
Speaker 2: this country. Yeah, like if that happened to them, you know,

584
00:30:50,640 --> 00:30:52,520
Speaker 2: so they're gonna start pulling you over and they're not

585
00:30:52,560 --> 00:30:55,000
Speaker 2: gonna let you have guns, and they're gonna, you know,

586
00:30:55,560 --> 00:30:58,680
Speaker 2: like it's like that is already the case for many

587
00:30:58,680 --> 00:31:00,440
Speaker 2: of the people in the country. It's not gonna happened

588
00:31:00,440 --> 00:31:00,600
Speaker 2: to you.

589
00:31:01,160 --> 00:31:05,880
Speaker 4: But yeah, yeah, and they can't fathom Trump like doing it.

590
00:31:06,000 --> 00:31:08,040
Speaker 4: What's so weird is every time they're like, and they

591
00:31:08,120 --> 00:31:10,360
Speaker 4: tricked them, they tricked old boy, and you're like, what.

592
00:31:14,480 --> 00:31:16,200
Speaker 1: I mean, I think they're they're just kind of leaning

593
00:31:16,280 --> 00:31:18,520
Speaker 1: into what they have, right, like he he because Trump

594
00:31:18,640 --> 00:31:21,960
Speaker 1: now seems more trickable than ever just even it's just evident.

595
00:31:22,880 --> 00:31:25,120
Speaker 1: So I think now they just had to add a

596
00:31:25,160 --> 00:31:30,080
Speaker 1: little a little zag to their zig maybe, right. Can

597
00:31:30,160 --> 00:31:33,000
Speaker 1: I just say I I flew recently at UH and

598
00:31:33,240 --> 00:31:36,640
Speaker 1: at least at Atlanta Airport. The video of Christy nome

599
00:31:36,960 --> 00:31:39,160
Speaker 1: Like doing the little like you're about to go through

600
00:31:39,240 --> 00:31:42,760
Speaker 1: TSA speech was the most I've ever felt like, oh,

601
00:31:42,800 --> 00:31:45,640
Speaker 1: I'm in the first act of Starship Troopers. Like it

602
00:31:45,840 --> 00:31:48,440
Speaker 1: was the production value I think was just a little

603
00:31:48,600 --> 00:31:51,120
Speaker 1: verhoven Ish on her video that I was like, Oh no.

604
00:31:52,400 --> 00:31:56,000
Speaker 2: It's really there's so many ways that it feels verhoven Ish,

605
00:31:56,200 --> 00:32:00,560
Speaker 2: like we're RoboCop and fucking Starship Troopers is like just

606
00:32:00,640 --> 00:32:03,600
Speaker 2: not right. Yeah, yeah, no, not as funny at all.

607
00:32:03,920 --> 00:32:08,520
Speaker 1: Just yeah, it has it's a it's a gritty Verhoven

608
00:32:08,640 --> 00:32:12,560
Speaker 1: reboot by like you know, like your Zack Snyder types.

609
00:32:13,200 --> 00:32:16,920
Speaker 2: Right, Yeah, it sucks. Yeah, it's like if a good

610
00:32:17,000 --> 00:32:19,520
Speaker 2: director was reimagined by someone who sucks at this.

611
00:32:21,040 --> 00:32:23,600
Speaker 3: Because they are in like, we're all like, oh, it's

612
00:32:23,640 --> 00:32:25,360
Speaker 3: just opian. It's like this movie. It's like this movie.

613
00:32:25,360 --> 00:32:27,920
Speaker 4: It's like because those people watch these movies, right, It's

614
00:32:28,000 --> 00:32:30,280
Speaker 4: like it's created because of that, and so then it

615
00:32:30,360 --> 00:32:33,000
Speaker 4: feels super next to reality, like.

616
00:32:33,600 --> 00:32:36,160
Speaker 1: And they're like they they watched Starship Troopers and like

617
00:32:36,360 --> 00:32:36,880
Speaker 1: seems good.

618
00:32:37,280 --> 00:32:45,600
Speaker 2: Yeah. Those bugs, those bugs gross. Also, you can get

619
00:32:45,640 --> 00:32:48,400
Speaker 2: free donuts, and you know, you might assume that you

620
00:32:48,480 --> 00:32:50,320
Speaker 2: have to get your real ID to get free donuts,

621
00:32:50,400 --> 00:32:51,480
Speaker 2: like giving blood.

622
00:32:51,600 --> 00:32:52,200
Speaker 1: But you don't.

623
00:32:52,680 --> 00:32:57,240
Speaker 2: Krispy Kreme is offering free donuts as like a way

624
00:32:57,320 --> 00:33:01,240
Speaker 2: of taking the edge off for the real ID process,

625
00:33:01,680 --> 00:33:03,600
Speaker 2: which may maybe this will be the time I've been

626
00:33:04,440 --> 00:33:06,480
Speaker 2: been told by our listeners that I need to try

627
00:33:06,600 --> 00:33:09,120
Speaker 2: fresh Crispy Kreams at some point. Have you not done

628
00:33:09,320 --> 00:33:10,280
Speaker 2: I still haven't done it.

629
00:33:11,240 --> 00:33:14,800
Speaker 3: I mean you've had twenty years since the phenomenon started.

630
00:33:14,880 --> 00:33:18,280
Speaker 2: What are you doing here being bad at life? I guess.

631
00:33:18,720 --> 00:33:22,680
Speaker 2: But yeah, as we've talked about, you don't actually like

632
00:33:23,040 --> 00:33:26,640
Speaker 2: you can still fly without the real idea you will

633
00:33:26,720 --> 00:33:30,200
Speaker 2: go get put through extra security, which is the same

634
00:33:30,280 --> 00:33:33,959
Speaker 2: security people are already subjected to quote unquote randomly by

635
00:33:34,040 --> 00:33:39,120
Speaker 2: TSA agents. So yeah, it just seems like people that

636
00:33:39,640 --> 00:33:43,480
Speaker 2: the government is banking on people not making the extra

637
00:33:43,600 --> 00:33:46,880
Speaker 2: trip to the DMB and then using this dusty law

638
00:33:46,960 --> 00:33:52,240
Speaker 2: to further do security checks and just do it, do

639
00:33:52,320 --> 00:33:53,280
Speaker 2: whatever the fuck they want to.

640
00:33:53,360 --> 00:33:58,720
Speaker 1: People essentially humanized as Jack as someone who again just

641
00:33:58,880 --> 00:34:00,880
Speaker 1: was like, whatever, I'm already at the d m V.

642
00:34:02,440 --> 00:34:05,520
Speaker 1: What what information did I give them? If I have

643
00:34:05,640 --> 00:34:08,120
Speaker 1: a real ID that I wouldn't have wanted to do,

644
00:34:08,160 --> 00:34:09,560
Speaker 1: you know, I don't.

645
00:34:09,680 --> 00:34:12,560
Speaker 2: I don't have that because it's.

646
00:34:11,920 --> 00:34:13,920
Speaker 1: Like a fingerprint or some ship. I guess I just

647
00:34:14,000 --> 00:34:16,560
Speaker 1: assume they have all that already, but I don't genuinely don't.

648
00:34:16,840 --> 00:34:20,799
Speaker 2: Blood that was part of it. Here's the thing.

649
00:34:21,120 --> 00:34:23,480
Speaker 1: Here's the thing about me and the d m V.

650
00:34:23,760 --> 00:34:25,600
Speaker 1: I was just spraying blood all over anyways.

651
00:34:25,880 --> 00:34:29,800
Speaker 2: So one thing you got me walking into a d

652
00:34:29,960 --> 00:34:34,080
Speaker 2: m V. It started to get here about that line

653
00:34:34,239 --> 00:34:35,000
Speaker 2: goes fast.

654
00:34:36,680 --> 00:34:41,880
Speaker 1: Yeah, I will say I managed to lose two pairs

655
00:34:41,920 --> 00:34:45,160
Speaker 1: of prescription sunglasses this last trip to the DMV or

656
00:34:45,280 --> 00:34:48,719
Speaker 1: two trips to get this ID, which fucking sucks. You

657
00:34:48,920 --> 00:34:53,279
Speaker 1: lost two on I left trips, I left left one

658
00:34:53,320 --> 00:34:56,160
Speaker 1: there and then I got a replacement, and then when

659
00:34:56,200 --> 00:34:57,920
Speaker 1: I went to pick up my ID card, which I

660
00:34:58,080 --> 00:35:00,759
Speaker 1: again assume was real idea, because I I feel like

661
00:35:00,760 --> 00:35:04,600
Speaker 1: I would have remembered if I took a stand and

662
00:35:04,680 --> 00:35:07,600
Speaker 1: then I just left those there. Also, don't let me

663
00:35:07,680 --> 00:35:08,480
Speaker 1: have sunglasses?

664
00:35:08,840 --> 00:35:11,240
Speaker 3: Yeah, everyone listening, We just got to get you a string.

665
00:35:11,400 --> 00:35:12,320
Speaker 3: You know those little.

666
00:35:13,640 --> 00:35:16,839
Speaker 1: Or just like pitch black contact lenses like the guy

667
00:35:16,920 --> 00:35:17,759
Speaker 1: from corn.

668
00:35:18,080 --> 00:35:21,680
Speaker 2: Yeah, or transitions they make transitions contact lenses. You just

669
00:35:21,760 --> 00:35:23,759
Speaker 2: have to stare directly at the sun and then your

670
00:35:23,800 --> 00:35:24,360
Speaker 2: eyes turned.

671
00:35:25,080 --> 00:35:26,960
Speaker 4: Can I tell you I didn't. I didn't such a

672
00:35:27,040 --> 00:35:30,040
Speaker 4: literal princess that my friend calls because I didn't see it.

673
00:35:30,360 --> 00:35:31,840
Speaker 4: I didn't look at the sun or see a sunset

674
00:35:31,920 --> 00:35:33,640
Speaker 4: until I was twelve because I was told not to

675
00:35:33,680 --> 00:35:37,000
Speaker 4: look at the sun, and nobody said there's a time

676
00:35:37,160 --> 00:35:39,359
Speaker 4: constraint on it, like you're allowed to look when it's setting.

677
00:35:40,840 --> 00:35:43,239
Speaker 2: That's true. Nobody does tell you that. We just all

678
00:35:43,320 --> 00:35:44,920
Speaker 2: are like, this is probably.

679
00:35:44,680 --> 00:35:47,120
Speaker 4: Fine, right, yeah, he said, okay, all right, and then

680
00:35:47,160 --> 00:35:48,319
Speaker 4: I got to see a sunset at twelve.

681
00:35:48,360 --> 00:35:52,040
Speaker 1: But it was incredible being being conscious of the first time.

682
00:35:52,320 --> 00:35:55,000
Speaker 2: Yeah, I see a sci fi future where you're the

683
00:35:55,080 --> 00:35:58,320
Speaker 2: only person who isn't blind. Yeah yeah, you know.

684
00:35:58,440 --> 00:36:01,360
Speaker 1: Yeah, but you're also like a vampire that got cured.

685
00:36:01,440 --> 00:36:04,480
Speaker 1: That's very like poignant to remember seeing a sunset for

686
00:36:04,560 --> 00:36:05,160
Speaker 1: the first time.

687
00:36:05,600 --> 00:36:09,160
Speaker 4: Yeah, well it is because dear sci fi point. The

688
00:36:09,239 --> 00:36:11,759
Speaker 4: reason we found out is because my parents and my

689
00:36:11,840 --> 00:36:13,759
Speaker 4: sister were all driving the car. My parents were like,

690
00:36:14,040 --> 00:36:16,360
Speaker 4: look at that beautiful sunset. I start screaming because I

691
00:36:16,440 --> 00:36:17,560
Speaker 4: was like, I'm going to be the only one to

692
00:36:17,560 --> 00:36:19,759
Speaker 4: see for the family, and I like, stop.

693
00:36:21,600 --> 00:36:24,560
Speaker 2: Throwing your body in between their face and the race.

694
00:36:24,960 --> 00:36:30,840
Speaker 2: Yeah all right. Uh moving on to just pure shod

695
00:36:30,920 --> 00:36:34,360
Speaker 2: in Freuda the So it seems like cyber trucks have

696
00:36:34,480 --> 00:36:38,560
Speaker 2: just totally stopped selling, Like and again, I just have

697
00:36:38,760 --> 00:36:43,920
Speaker 2: to Sarah rump r u MPF for media. This is

698
00:36:44,080 --> 00:36:46,759
Speaker 2: the most I've enjoyed. It's not like there's nothing that

699
00:36:46,920 --> 00:36:49,600
Speaker 2: jumped out to me like stylistically, It's just an article.

700
00:36:50,360 --> 00:36:53,080
Speaker 2: God damn did I enjoy I was like, I think

701
00:36:53,160 --> 00:36:56,960
Speaker 2: I need to cigarette after reading this. You know, I

702
00:36:57,120 --> 00:37:00,520
Speaker 2: have my suspicions the cyber trucks were not going to

703
00:37:00,560 --> 00:37:03,520
Speaker 2: sell that well. Like we'd heard that Tesla's were becoming

704
00:37:03,600 --> 00:37:06,719
Speaker 2: less popular in the aftermath of Again, the mainstream media

705
00:37:06,800 --> 00:37:09,319
Speaker 2: loves to be like it's his association with Trump, who

706
00:37:09,480 --> 00:37:13,040
Speaker 2: is a polarizing figure and doge which people have their

707
00:37:13,120 --> 00:37:18,160
Speaker 2: questions about, and it's not the like blaring almost involuntary

708
00:37:18,320 --> 00:37:24,440
Speaker 2: Nazis grew up from the global media at Trump's inauguration

709
00:37:25,040 --> 00:37:28,520
Speaker 2: and then immediately followed that by like speeches in Germany

710
00:37:29,120 --> 00:37:32,040
Speaker 2: telling them to like stop making a big deal about

711
00:37:32,040 --> 00:37:36,600
Speaker 2: the Holocaust or whatever he said there. Anyways, since that day,

712
00:37:36,760 --> 00:37:42,640
Speaker 2: Tesla sales have dropped pretty precipitously, while overall electronic vehicle

713
00:37:42,719 --> 00:37:45,760
Speaker 2: sales have gone up. So it's like against the grain

714
00:37:46,120 --> 00:37:51,239
Speaker 2: of like how everything's moving. And so my assumption was,

715
00:37:51,600 --> 00:37:54,200
Speaker 2: like he made it very uncool to own a Tesla

716
00:37:54,800 --> 00:37:59,200
Speaker 2: and the like. But Tesla's like at least look like

717
00:37:59,360 --> 00:38:01,239
Speaker 2: other cars for the most part, Like you have to

718
00:38:01,280 --> 00:38:03,200
Speaker 2: spend a second to make sure you're looking at a

719
00:38:03,280 --> 00:38:06,279
Speaker 2: Tesla before you start to judge the person who's driving it,

720
00:38:06,719 --> 00:38:10,880
Speaker 2: like there's no mistaking a cyber truck, like they they

721
00:38:11,160 --> 00:38:13,120
Speaker 2: just might as well come with like a full brass

722
00:38:13,239 --> 00:38:17,720
Speaker 2: band playing the Imperial March, like they're just so fucking

723
00:38:17,840 --> 00:38:21,880
Speaker 2: conspicuous from like three blocks away. And so you know,

724
00:38:22,040 --> 00:38:25,440
Speaker 2: they're just a statement. And the statement is like, I

725
00:38:25,640 --> 00:38:29,040
Speaker 2: stand that this came out after he did that, and

726
00:38:29,200 --> 00:38:32,120
Speaker 2: I stand, I'm down with that. I think that was

727
00:38:32,200 --> 00:38:35,480
Speaker 2: cool what he did with the uh, with saying his

728
00:38:35,640 --> 00:38:38,600
Speaker 2: heart goes out to people. So it felt like, man,

729
00:38:38,680 --> 00:38:43,200
Speaker 2: that's gotta be tough for the popularity. And this article.

730
00:38:43,760 --> 00:38:45,959
Speaker 2: So this article, in addition to being like so first

731
00:38:46,120 --> 00:38:49,319
Speaker 2: Tesla sales going down as e vehicle sales going up.

732
00:38:49,960 --> 00:38:53,840
Speaker 2: Next cyber truck quote. A Forbes editor who covers the

733
00:38:53,880 --> 00:38:57,680
Speaker 2: electric vehicle market dubbed the cyber truck Elon's ed cell

734
00:38:58,280 --> 00:39:02,080
Speaker 2: and the audio auto industry's biggest flop in decades at

735
00:39:02,120 --> 00:39:06,160
Speaker 2: the beginning of April. It's accelerated on a downward spiral

736
00:39:06,360 --> 00:39:11,239
Speaker 2: since then. So, yeah, already a flop. And then what

737
00:39:11,320 --> 00:39:14,280
Speaker 2: we're about to hear happened. A new article by Electric

738
00:39:14,440 --> 00:39:17,000
Speaker 2: editor and chief Fred Lambert spells out how brutal the

739
00:39:17,080 --> 00:39:19,279
Speaker 2: numbers have you come for the cyber truck. And by

740
00:39:19,320 --> 00:39:22,600
Speaker 2: the way, it should be noted that Electric and Lambert

741
00:39:23,000 --> 00:39:26,520
Speaker 2: personally have faced sharp criticism over the years for perceived

742
00:39:26,600 --> 00:39:29,719
Speaker 2: bias in favor of Tesla and Musk. So this is

743
00:39:29,840 --> 00:39:32,919
Speaker 2: like one of his you know, one of the people

744
00:39:33,040 --> 00:39:36,319
Speaker 2: who like writes about him glowingly in a way that's

745
00:39:36,400 --> 00:39:39,240
Speaker 2: like annoying and has created the problem in the first place.

746
00:39:39,640 --> 00:39:42,520
Speaker 2: It was reported in April that about twenty four hundred

747
00:39:42,560 --> 00:39:45,760
Speaker 2: new cyber trucks, representing about two hundred million dollars in inventory,

748
00:39:46,080 --> 00:39:49,760
Speaker 2: were languishing unsold, leading the company to refuse to accept

749
00:39:49,800 --> 00:39:53,240
Speaker 2: them as trade ins, and other used car dealers finding

750
00:39:53,280 --> 00:39:56,080
Speaker 2: them unappealing and making only low ball offers. So like

751
00:39:56,200 --> 00:39:58,959
Speaker 2: they just stopped taking them back even though the cars

752
00:39:59,000 --> 00:40:02,600
Speaker 2: are like broken and like causing all sorts of recalls

753
00:40:02,600 --> 00:40:02,960
Speaker 2: and ships.

754
00:40:03,160 --> 00:40:05,040
Speaker 4: Someone had a sticker on their car that was like,

755
00:40:05,200 --> 00:40:07,440
Speaker 4: I know, I can't afford to get a new car

756
00:40:07,600 --> 00:40:09,320
Speaker 4: like to trade Yeah.

757
00:40:09,160 --> 00:40:12,000
Speaker 2: Yeah, exactly, yeah, I mean that's I mean, that's happening

758
00:40:12,040 --> 00:40:15,279
Speaker 2: across Teslas, but like this one is that's the only

759
00:40:15,400 --> 00:40:18,560
Speaker 2: acceptable decal. Other than make juice is a giant decal.

760
00:40:18,640 --> 00:40:22,040
Speaker 2: That's like I know, so I did not I don't

761
00:40:22,080 --> 00:40:24,120
Speaker 2: pay attention to the news, but I'm.

762
00:40:24,000 --> 00:40:29,600
Speaker 1: Like, how dumb can you be? Honestly, Like, it's yeah.

763
00:40:29,880 --> 00:40:32,719
Speaker 2: Now that inventory. So they were already calling it like

764
00:40:32,800 --> 00:40:35,360
Speaker 2: the biggest flop of all time when there were like

765
00:40:35,600 --> 00:40:40,160
Speaker 2: just two four hundred cyber trucks sitting on the lot unmovable.

766
00:40:40,840 --> 00:40:44,040
Speaker 2: That inventory has skyrocketed to a new record high of

767
00:40:44,160 --> 00:40:48,799
Speaker 2: more than ten thousand cyber trucks. So it's like four

768
00:40:49,120 --> 00:40:52,200
Speaker 2: times where it was when they were like this is

769
00:40:52,320 --> 00:40:57,040
Speaker 2: the biggest disaster in the history of cars. Maybe it's

770
00:40:57,200 --> 00:41:01,239
Speaker 2: like it's four times that, and like they just can't

771
00:41:01,239 --> 00:41:05,239
Speaker 2: even like they can't even explain like what's happening. They

772
00:41:05,280 --> 00:41:08,440
Speaker 2: don't there's no like counter narrative. A lot of like

773
00:41:08,560 --> 00:41:11,000
Speaker 2: one of the counter narratives they've tried to say is like, yeah,

774
00:41:11,120 --> 00:41:14,920
Speaker 2: we're just like ramping up production because there's so much demand,

775
00:41:15,480 --> 00:41:19,400
Speaker 2: and like studies have shown that they've actually like slowed

776
00:41:19,600 --> 00:41:23,920
Speaker 2: production to almost to a halt because there is no demand.

777
00:41:24,200 --> 00:41:27,640
Speaker 2: It's just that apps like zero people are buying them,

778
00:41:28,000 --> 00:41:31,040
Speaker 2: and so they're just like they couldn't you couldn't like

779
00:41:31,200 --> 00:41:33,920
Speaker 2: slam on the brakes at the factory fast enough, and

780
00:41:34,120 --> 00:41:37,080
Speaker 2: so they're just like piling up at the you know,

781
00:41:37,960 --> 00:41:43,840
Speaker 2: like the T shirt you're talking about just into the

782
00:41:43,960 --> 00:41:48,480
Speaker 2: discount bin and like they're offering huge discounts now and

783
00:41:48,600 --> 00:41:50,879
Speaker 2: they can't sell shit. Yeah, it's like the I love

784
00:41:51,000 --> 00:41:53,279
Speaker 2: Lucy Sane really yeah.

785
00:41:53,800 --> 00:41:58,520
Speaker 1: I mean the honestly, like last year, the only tiny

786
00:41:58,680 --> 00:42:01,359
Speaker 1: ray of hope I had for the election was when

787
00:42:01,600 --> 00:42:05,840
Speaker 1: Elon joined. I was like, listen, literally everything he touches

788
00:42:05,960 --> 00:42:10,160
Speaker 1: does turn to absolute failure. So the problem was it

789
00:42:10,360 --> 00:42:12,399
Speaker 1: just the timeline. We just didn't give him enough time

790
00:42:12,480 --> 00:42:15,840
Speaker 1: to cook. If he joined, like you know, mid election cycle,

791
00:42:16,560 --> 00:42:18,759
Speaker 1: I do think Elon could have ruined Trump's.

792
00:42:18,520 --> 00:42:20,680
Speaker 2: Chances, right. Well.

793
00:42:20,719 --> 00:42:23,560
Speaker 4: I also think like the reason there's no sort of

794
00:42:23,760 --> 00:42:26,160
Speaker 4: counter narrative, right is because then we'd have to talk

795
00:42:26,160 --> 00:42:29,359
Speaker 4: about billionaires and it's like, Musk, it's like three hundred

796
00:42:29,400 --> 00:42:31,200
Speaker 4: and thirty three billion, what is it? He is?

797
00:42:31,440 --> 00:42:34,040
Speaker 3: It's like or is not? Eight hundred million is a

798
00:42:34,160 --> 00:42:34,840
Speaker 3: drop in the bucket.

799
00:42:34,880 --> 00:42:36,920
Speaker 4: And that's what the cyber trucks is called a crossing

800
00:42:37,000 --> 00:42:39,360
Speaker 4: to sit there, right, And so it's like it's just

801
00:42:39,440 --> 00:42:43,880
Speaker 4: kind of because there's no discernment or accountability within billionaires.

802
00:42:44,400 --> 00:42:46,520
Speaker 4: He's like, yeah, it's not a flop to me. It's

803
00:42:46,560 --> 00:42:49,239
Speaker 4: like it's whatever. And that's the hard part, and I

804
00:42:49,280 --> 00:42:51,640
Speaker 4: think that should be more. The focus is that a

805
00:42:51,719 --> 00:42:54,440
Speaker 4: company is able to use these resources like and like

806
00:42:55,080 --> 00:42:57,600
Speaker 4: and just no problem, no accountability.

807
00:42:57,760 --> 00:43:00,600
Speaker 1: Yeah, yeah, Well, wealth has been concentrated to such a

808
00:43:00,719 --> 00:43:04,359
Speaker 1: degree that one of the worst auto decisions at all

809
00:43:04,440 --> 00:43:07,480
Speaker 1: times can be absorbed by a moron.

810
00:43:08,080 --> 00:43:10,480
Speaker 2: Yeah, and he can act to the degree that he

811
00:43:10,560 --> 00:43:14,120
Speaker 2: can be like, actually I did that on purpose. It's

812
00:43:14,160 --> 00:43:16,920
Speaker 2: actually for tax purposes. Can I tell you for me?

813
00:43:17,600 --> 00:43:23,200
Speaker 1: Your impression is eternally troubling every time? It's actually a

814
00:43:23,320 --> 00:43:25,600
Speaker 1: win soctually socually.

815
00:43:26,960 --> 00:43:31,239
Speaker 2: Oh yeah, I also I didn't you know, I have

816
00:43:31,440 --> 00:43:34,240
Speaker 2: heard like people are talking about how he and Trump

817
00:43:34,280 --> 00:43:37,120
Speaker 2: have gone their separate ways. This article also gets into

818
00:43:37,200 --> 00:43:44,040
Speaker 2: like how Trump's policies are just directly and vigorously fucking

819
00:43:44,600 --> 00:43:45,759
Speaker 2: elon musk, Like.

820
00:43:46,160 --> 00:43:50,239
Speaker 1: God speaking of essential oil that smell leathery and are

821
00:43:50,320 --> 00:43:53,319
Speaker 1: extremely toxic. Imagine being in the room with those two

822
00:43:53,440 --> 00:43:57,440
Speaker 1: fucking dickheads, just the smell coming off their bodies.

823
00:43:58,600 --> 00:44:01,680
Speaker 2: He's just right. He bought an election, like put all

824
00:44:01,760 --> 00:44:05,880
Speaker 2: his time and energy into like buying an election for

825
00:44:05,960 --> 00:44:09,640
Speaker 2: this guy and got at just got what everyone who

826
00:44:09,760 --> 00:44:13,120
Speaker 2: thinks they can like play Trump gets Like everyone who

827
00:44:13,800 --> 00:44:17,720
Speaker 2: at like thinks they're going to get something in return

828
00:44:17,920 --> 00:44:22,879
Speaker 2: from Trump, they always get completely fucked over. And yeah,

829
00:44:22,960 --> 00:44:27,120
Speaker 2: I don't. It does for a moment make you be like, wow,

830
00:44:27,200 --> 00:44:29,440
Speaker 2: he's like really doesn't give a fuck. He's like pissing

831
00:44:29,520 --> 00:44:34,280
Speaker 2: off the oligarchs, and like, will they ever get together

832
00:44:34,600 --> 00:44:38,040
Speaker 2: and admit they were wrong? And then that scenario just

833
00:44:38,200 --> 00:44:41,920
Speaker 2: stops being plausible because obviously they would never admit they

834
00:44:41,960 --> 00:44:43,440
Speaker 2: were wrong or dumb about anything.

835
00:44:43,840 --> 00:44:47,440
Speaker 1: It's it's like watching it's the perfect con Like Trump

836
00:44:47,600 --> 00:44:50,800
Speaker 1: knows they can't do shit about him, right, And it

837
00:44:51,280 --> 00:44:54,080
Speaker 1: is in that way sort of glorious. And if we

838
00:44:54,200 --> 00:44:58,440
Speaker 1: didn't all have to collectively foot the emotional, financial, and

839
00:44:58,760 --> 00:45:01,080
Speaker 1: possibly physical safety bill, it would be funny.

840
00:45:01,600 --> 00:45:08,960
Speaker 2: Right, Let's take a let's take a quick break so

841
00:45:09,040 --> 00:45:11,880
Speaker 2: that we can all just laugh quietly to ourselves about that,

842
00:45:12,280 --> 00:45:16,120
Speaker 2: and then we'll be back. Let's talk about AI will

843
00:45:16,120 --> 00:45:32,439
Speaker 2: be right back, and we're back. And yeah, so there's

844
00:45:32,600 --> 00:45:37,840
Speaker 2: an academic slash like capitalism. Guy used to be that

845
00:45:38,600 --> 00:45:42,480
Speaker 2: used to be ahead of used to be the head

846
00:45:42,480 --> 00:45:45,880
Speaker 2: of AI prober So he's like not just an academic

847
00:45:45,960 --> 00:45:48,399
Speaker 2: who's like standing on the sidelines being like, you guys

848
00:45:48,440 --> 00:45:51,120
Speaker 2: are dumb. He what is one of the guys.

849
00:45:51,320 --> 00:45:55,040
Speaker 1: Jack I just interrupted say, like any version of the

850
00:45:55,160 --> 00:45:58,800
Speaker 1: job title financial analyst or commentary blah blah blah is

851
00:45:58,960 --> 00:46:02,360
Speaker 1: much better look to described by capitalism. Guy. Capital They

852
00:46:02,400 --> 00:46:03,120
Speaker 1: all fucking are.

853
00:46:03,560 --> 00:46:07,400
Speaker 2: Yeah, capitalism, Yeah, we're that's just gonna be a segment

854
00:46:07,440 --> 00:46:09,960
Speaker 2: of our show Capitalism. Guys, what are they up to?

855
00:46:10,760 --> 00:46:15,239
Speaker 2: But he like he doesn't even think like AI is

856
00:46:15,719 --> 00:46:18,760
Speaker 2: bad necessarily, He's just like they've chosen the wrong path.

857
00:46:19,320 --> 00:46:22,520
Speaker 2: But it did feel like for the first time I

858
00:46:22,680 --> 00:46:25,719
Speaker 2: was reading somebody talking about AI in a way that

859
00:46:26,080 --> 00:46:30,480
Speaker 2: actually made sense along alongside like what we've been seeing.

860
00:46:31,200 --> 00:46:35,920
Speaker 2: And basically he's just saying that it's kind of fucked,

861
00:46:36,480 --> 00:46:40,839
Speaker 2: like it's it's going to continue, They're going to keep

862
00:46:41,200 --> 00:46:45,160
Speaker 2: investing in it, and it specifically these like large language

863
00:46:45,200 --> 00:46:49,680
Speaker 2: models and the gains that they're making are going to

864
00:46:49,920 --> 00:46:54,280
Speaker 2: run out, and the problems like hallucinations where the AI

865
00:46:55,000 --> 00:46:59,560
Speaker 2: makes up facts are going to be impossible to solve. Essentially,

866
00:47:00,080 --> 00:47:03,919
Speaker 2: and we've also seen recent reporting that like because they're

867
00:47:04,000 --> 00:47:07,680
Speaker 2: now drawing on training themselves with an internet that is

868
00:47:08,040 --> 00:47:13,560
Speaker 2: partially AI, it's getting worse. Like it's just going to

869
00:47:13,600 --> 00:47:16,640
Speaker 2: get worse from there. I had kind of missed this story.

870
00:47:16,719 --> 00:47:20,320
Speaker 2: But Open so Open AI obviously like the known you know,

871
00:47:20,719 --> 00:47:24,279
Speaker 2: like Global Leader in AI. Suppose the Global Leader and

872
00:47:24,320 --> 00:47:27,800
Speaker 2: AI had to like just released their big like the

873
00:47:27,920 --> 00:47:31,600
Speaker 2: new GPT for whatever. Yeah, and they had to like

874
00:47:31,760 --> 00:47:34,160
Speaker 2: pull it back after a few days because it was

875
00:47:34,320 --> 00:47:40,200
Speaker 2: returning misguided, incorrect and downright harmful ideas. It was also

876
00:47:40,960 --> 00:47:45,880
Speaker 2: too sick. A phantic company acknowledged that part is amazing crazy.

877
00:47:46,200 --> 00:47:47,360
Speaker 2: Isn't that so funny?

878
00:47:47,600 --> 00:47:49,360
Speaker 4: But you know what's crazy to me is it's like

879
00:47:49,560 --> 00:47:51,959
Speaker 4: we're like forgetting the fact that it is a pure

880
00:47:52,080 --> 00:47:54,480
Speaker 4: mirror and aggregate of us and what we're feeding it

881
00:47:54,560 --> 00:47:57,799
Speaker 4: and the algorithms we're feeding it and the personal data.

882
00:47:58,160 --> 00:48:00,719
Speaker 4: And I'm going like, of course, of course, course, like

883
00:48:00,960 --> 00:48:05,120
Speaker 4: we also have sycophants as our biggest political touchstone and

884
00:48:05,239 --> 00:48:07,480
Speaker 4: news it's like we're talking about of course it's that.

885
00:48:07,880 --> 00:48:09,680
Speaker 1: Yeah, Oh it's so funny.

886
00:48:10,000 --> 00:48:14,120
Speaker 2: Yeah, I mean this feels like again and this is

887
00:48:14,239 --> 00:48:16,440
Speaker 2: the one hope for this version of AI is. I

888
00:48:16,520 --> 00:48:19,840
Speaker 2: guess that the whole like media apparatus is bought in

889
00:48:20,280 --> 00:48:22,360
Speaker 2: because so much of the market is propped up on

890
00:48:22,480 --> 00:48:25,080
Speaker 2: like AI hype that they're just not going to report

891
00:48:25,160 --> 00:48:28,400
Speaker 2: this because like that feels like a massive story that

892
00:48:28,680 --> 00:48:32,800
Speaker 2: like chat GPT releases their newest version and it's a

893
00:48:32,880 --> 00:48:35,680
Speaker 2: step backward, like in this thing that's supposed to be

894
00:48:36,520 --> 00:48:38,719
Speaker 2: like the thing it's supposed to be. The whole pitch

895
00:48:38,840 --> 00:48:41,839
Speaker 2: on AI is like this thing's advancing so fast, Yeah

896
00:48:42,040 --> 00:48:45,640
Speaker 2: that like we're actually concerned with how fast it's advancing,

897
00:48:46,160 --> 00:48:48,440
Speaker 2: Like it's gonna leave us in the dust and like

898
00:48:48,680 --> 00:48:50,920
Speaker 2: go fuck off to space like at the end of

899
00:48:51,000 --> 00:48:54,800
Speaker 2: her or you know, like Sam Altman when he was

900
00:48:54,840 --> 00:48:58,320
Speaker 2: first like coming on the scene. There's a profile of

901
00:48:58,440 --> 00:49:01,239
Speaker 2: him from that regional public the New Yorker, where he

902
00:49:01,360 --> 00:49:05,000
Speaker 2: like talks about how he like keeps a cyanide capsule

903
00:49:05,120 --> 00:49:07,920
Speaker 2: on him because he's like worried about the AI like

904
00:49:08,320 --> 00:49:10,320
Speaker 2: coming to life and killing him and his family. Like

905
00:49:10,400 --> 00:49:16,560
Speaker 2: he's just playing up like terminator ideas, like because he

906
00:49:16,719 --> 00:49:19,719
Speaker 2: knows that it makes it a good pitch. That it's

907
00:49:19,800 --> 00:49:24,920
Speaker 2: like this thing's so damn smart, it's it actually scares

908
00:49:25,040 --> 00:49:27,080
Speaker 2: me sometimes. I'm so good at my job, I get

909
00:49:27,200 --> 00:49:33,600
Speaker 2: scared sometimes and instead of like rocketing along that growth curve,

910
00:49:34,080 --> 00:49:37,440
Speaker 2: it's getting worse and like more prone to making shit up.

911
00:49:37,840 --> 00:49:41,880
Speaker 2: And they're trying to The sycophantic thing is so funny

912
00:49:41,920 --> 00:49:44,080
Speaker 2: to me because they're just like trying to cover it

913
00:49:44,360 --> 00:49:48,360
Speaker 2: up for it by having the product just flatter the user.

914
00:49:49,000 --> 00:49:53,680
Speaker 2: That's so sad, that's so pathetic, Like, I mean, I'm

915
00:49:53,760 --> 00:49:55,760
Speaker 2: happy that it didn't work, I'll say.

916
00:49:55,760 --> 00:49:57,080
Speaker 3: But here's my my thing.

917
00:49:57,160 --> 00:49:57,279
Speaker 1: Though.

918
00:49:57,520 --> 00:50:01,839
Speaker 4: I always get like half it's like burn after reading

919
00:50:01,880 --> 00:50:03,680
Speaker 4: where it's like there's more idiots than you think at

920
00:50:03,719 --> 00:50:07,120
Speaker 4: the top, and half sort of like maybe this is

921
00:50:07,200 --> 00:50:09,719
Speaker 4: part of a bigger thing where it's like nobody has

922
00:50:09,800 --> 00:50:11,200
Speaker 4: promised accuracy with AI.

923
00:50:11,440 --> 00:50:15,480
Speaker 3: Nobody has promised truth or accurate data.

924
00:50:15,920 --> 00:50:18,319
Speaker 4: So when data is given to an individual and they

925
00:50:18,360 --> 00:50:21,719
Speaker 4: can see so apparently that it is not accurate data,

926
00:50:22,200 --> 00:50:25,440
Speaker 4: then there's the issue, right, But that to me doesn't

927
00:50:25,520 --> 00:50:28,040
Speaker 4: necessarily say that. That's not the kind of point like

928
00:50:28,160 --> 00:50:31,600
Speaker 4: that's not like the idea that the data can be

929
00:50:32,360 --> 00:50:36,000
Speaker 4: chosen and picked by people doesn't speak to accuracy of data.

930
00:50:36,440 --> 00:50:37,959
Speaker 3: It's just who's giving the data.

931
00:50:38,600 --> 00:50:41,239
Speaker 4: And that's where I kind of go, oh, then that's

932
00:50:41,280 --> 00:50:44,000
Speaker 4: showing a hand too fast and not effective in the

933
00:50:44,280 --> 00:50:48,200
Speaker 4: way it is being ty traded to people to use

934
00:50:48,280 --> 00:50:52,120
Speaker 4: more actively but not necessarily ineffective as a medium or

935
00:50:52,320 --> 00:50:54,720
Speaker 4: thing itself right as.

936
00:50:54,600 --> 00:50:58,480
Speaker 2: A product, right, like they're and the trick that they

937
00:50:58,560 --> 00:51:01,400
Speaker 2: did is they never said it was like fully accurate,

938
00:51:01,520 --> 00:51:04,560
Speaker 2: and they like claimed sometimes it hallucinates.

939
00:51:04,719 --> 00:51:05,120
Speaker 1: Well they.

940
00:51:07,280 --> 00:51:11,760
Speaker 2: But yeah, the implication is by giving you a product

941
00:51:11,920 --> 00:51:15,360
Speaker 2: that it says can like write your legal briefs for you,

942
00:51:15,719 --> 00:51:19,640
Speaker 2: and like right, like they're implying that like it can

943
00:51:19,719 --> 00:51:22,920
Speaker 2: do this. Like it's like it's like Tesla being like

944
00:51:23,480 --> 00:51:26,719
Speaker 2: we have a self driving mode that like legally they

945
00:51:26,760 --> 00:51:29,359
Speaker 2: can't call it, like they can't say it can self drive.

946
00:51:29,560 --> 00:51:33,719
Speaker 2: So they like but everything around it is suggests that

947
00:51:34,000 --> 00:51:36,600
Speaker 2: well they wouldn't like put this in a car if

948
00:51:36,640 --> 00:51:41,600
Speaker 2: it was so like obviously, so like it's just yeah,

949
00:51:41,680 --> 00:51:44,719
Speaker 2: they they just imply it it is not good at

950
00:51:44,760 --> 00:51:45,239
Speaker 2: what it does.

951
00:51:45,760 --> 00:51:48,239
Speaker 1: It's like it's good at what it does, it's not

952
00:51:48,360 --> 00:51:51,120
Speaker 1: good at what it's good at. The bosses want you

953
00:51:51,239 --> 00:51:52,120
Speaker 1: to think it can.

954
00:51:52,080 --> 00:51:54,360
Speaker 2: Do that's right. So that that's the big thing. The

955
00:51:54,400 --> 00:51:56,960
Speaker 2: one thing that he points out, is it's very good

956
00:51:57,000 --> 00:52:01,680
Speaker 2: at mimicry. And that is the one thing that I'm like, yeah,

957
00:52:01,760 --> 00:52:04,279
Speaker 2: that is true, Like that's all the stuff I've been

958
00:52:04,320 --> 00:52:08,800
Speaker 2: impressed by, like the you know images, like the studio

959
00:52:08,840 --> 00:52:12,440
Speaker 2: Ghibli thing is like that's fun. You know, that's like

960
00:52:12,560 --> 00:52:15,320
Speaker 2: I see that as like a fun little like apple.

961
00:52:15,719 --> 00:52:17,560
Speaker 2: Like we this used to just be a thing that

962
00:52:17,719 --> 00:52:22,080
Speaker 2: like got introduced to like Snap and like everybody was like,

963
00:52:22,200 --> 00:52:24,640
Speaker 2: well look at this thing that Snap can do, and

964
00:52:24,760 --> 00:52:27,720
Speaker 2: people will be like that's fun. For now, the really

965
00:52:27,840 --> 00:52:30,800
Speaker 2: like mind blowing shit that it can do is like

966
00:52:31,000 --> 00:52:35,760
Speaker 2: it's making fraud like much more powerful, like the people

967
00:52:35,880 --> 00:52:39,960
Speaker 2: are able to change their race, facial hair, voice, and

968
00:52:40,120 --> 00:52:43,600
Speaker 2: more during why video calls with no effort so that

969
00:52:43,800 --> 00:52:48,200
Speaker 2: they can full elderly people. In one case in this

970
00:52:48,600 --> 00:52:51,759
Speaker 2: article that we'll link off to, it did a deep

971
00:52:51,840 --> 00:52:55,520
Speaker 2: fake on like an employee and just made that employee

972
00:52:55,560 --> 00:52:57,839
Speaker 2: think that they were in a video call with their

973
00:52:57,920 --> 00:53:00,680
Speaker 2: CFO and their CFO was like, I'm gonna need you

974
00:53:00,760 --> 00:53:04,359
Speaker 2: to like transfer five million dollars here, five million dollars here,

975
00:53:04,400 --> 00:53:07,640
Speaker 2: five million dollars here, and they did it, you know,

976
00:53:08,040 --> 00:53:12,200
Speaker 2: like so it it's good at mimicking things. It's not

977
00:53:12,840 --> 00:53:16,440
Speaker 2: good at thinking or doing research for you because it's

978
00:53:16,520 --> 00:53:19,200
Speaker 2: going to find incorrect research.

979
00:53:19,600 --> 00:53:22,319
Speaker 4: I can't believe we're not talking more about John Anderton though,

980
00:53:22,360 --> 00:53:25,600
Speaker 4: and pre crime, Like why aren't we bringing up minority report.

981
00:53:25,360 --> 00:53:26,640
Speaker 3: All the time when we're dating?

982
00:53:27,239 --> 00:53:32,239
Speaker 4: I mean like that to me is like the extrapolation

983
00:53:32,400 --> 00:53:34,200
Speaker 4: of data to say that somebody is going to do

984
00:53:34,800 --> 00:53:38,080
Speaker 4: something is just going to serve to support deporting people

985
00:53:38,080 --> 00:53:39,719
Speaker 4: to venement, like you know, all these different things.

986
00:53:39,800 --> 00:53:42,080
Speaker 2: Oh yeah, they're going to claim that it can do that.

987
00:53:43,000 --> 00:53:46,320
Speaker 1: It seems like they may have deployed versions of that

988
00:53:46,719 --> 00:53:50,080
Speaker 1: in like Gods of It. It does sound like they're

989
00:53:50,120 --> 00:53:51,640
Speaker 1: already doing that pretty big time.

990
00:53:52,320 --> 00:53:53,799
Speaker 2: Yeah, yeah, I will.

991
00:53:53,840 --> 00:53:57,560
Speaker 1: I think this is a quote from at Citron But

992
00:53:57,719 --> 00:54:00,600
Speaker 1: if I'm wrong, I'm sorry about that. But I I

993
00:54:00,840 --> 00:54:03,640
Speaker 1: some writer pointed out that like a this all this

994
00:54:03,880 --> 00:54:07,120
Speaker 1: large language model stuff is like billion or trillion dollar

995
00:54:07,280 --> 00:54:12,680
Speaker 1: solutions for at best million dollar problems, right, like really good.

996
00:54:12,800 --> 00:54:15,279
Speaker 1: It's it's just like, yeah, like this stuff is like

997
00:54:16,080 --> 00:54:18,600
Speaker 1: kind of helpful for some things, but it is not

998
00:54:19,000 --> 00:54:21,920
Speaker 1: close to what it takes to run this shit and

999
00:54:22,080 --> 00:54:26,080
Speaker 1: develop this this thing that is like only okay, Yeah, so.

1000
00:54:26,239 --> 00:54:28,960
Speaker 2: This guy's prediction for what it because I do think

1001
00:54:29,080 --> 00:54:31,520
Speaker 2: like the thing that's creating all the momentum and why

1002
00:54:31,640 --> 00:54:33,880
Speaker 2: this is like a thing that we can't stop fucking

1003
00:54:33,920 --> 00:54:37,839
Speaker 2: hearing about constantly in the mainstream media is because there's

1004
00:54:37,920 --> 00:54:40,600
Speaker 2: like a lot of money invested in it. And the

1005
00:54:40,719 --> 00:54:43,240
Speaker 2: thing that this guy's saying is like, it's not gonna

1006
00:54:43,280 --> 00:54:45,520
Speaker 2: go away. It's not just gonna like one day people

1007
00:54:45,560 --> 00:54:48,120
Speaker 2: are gonna be like there's no use for this, because

1008
00:54:48,440 --> 00:54:50,800
Speaker 2: there are like cool things that can do with regards

1009
00:54:50,840 --> 00:54:55,440
Speaker 2: to images and mimicry and like creating a C plus

1010
00:54:55,760 --> 00:54:58,719
Speaker 2: paper that like has a couple factual errors in it,

1011
00:54:58,920 --> 00:55:02,120
Speaker 2: like that stuff will probably continue to be useful some

1012
00:55:02,520 --> 00:55:04,640
Speaker 2: some of the teachers grading those papers will probably be

1013
00:55:04,760 --> 00:55:07,680
Speaker 2: using AI. So just you know, it'll just be like

1014
00:55:08,239 --> 00:55:12,600
Speaker 2: AI on AI, like bullshit, that's what tron was about.

1015
00:55:12,640 --> 00:55:16,040
Speaker 2: I think, yeah, it's just gonna spin into Instead of

1016
00:55:16,080 --> 00:55:19,440
Speaker 2: spinning off into like a hyper intelligent race like a terminator,

1017
00:55:19,480 --> 00:55:23,800
Speaker 2: it's gonna like spin off into just mediocrity, just like

1018
00:55:23,880 --> 00:55:28,560
Speaker 2: a world of mediocrity that like mediocre robots talking to

1019
00:55:28,680 --> 00:55:29,760
Speaker 2: each other essentially.

1020
00:55:30,360 --> 00:55:33,640
Speaker 1: But yeah, losers who have been told they're the smartest

1021
00:55:33,680 --> 00:55:38,520
Speaker 1: thing ever BYPT which yes, exactly losers like.

1022
00:55:39,680 --> 00:55:41,800
Speaker 2: But his idea for where this ends up is just

1023
00:55:41,920 --> 00:55:45,279
Speaker 2: like it's not going to be it's going to get

1024
00:55:45,600 --> 00:55:50,560
Speaker 2: less and less expensive, and like because nobody has like

1025
00:55:50,680 --> 00:55:53,160
Speaker 2: that the information of like how to do the thing

1026
00:55:53,320 --> 00:55:57,239
Speaker 2: that all these AI companies can do, Like everybody knows

1027
00:55:57,280 --> 00:56:00,160
Speaker 2: it now. It's not secret information as we saw with

1028
00:56:00,719 --> 00:56:03,919
Speaker 2: the what was the Chinese deep Seek.

1029
00:56:04,080 --> 00:56:07,359
Speaker 1: Yeah, I say to the extent I ever use large

1030
00:56:07,400 --> 00:56:09,960
Speaker 1: language model stuff. I always just go to deep sea.

1031
00:56:10,320 --> 00:56:15,319
Speaker 2: Just use deep It's not the worst. Who cares it's

1032
00:56:15,640 --> 00:56:20,799
Speaker 2: it's it's cheaper, it kills less, like it uses less resources.

1033
00:56:21,120 --> 00:56:24,040
Speaker 2: But like he's he keeps comparing it to spell Check

1034
00:56:24,360 --> 00:56:28,120
Speaker 2: in the article. He's like, look like spell Check, it

1035
00:56:28,280 --> 00:56:31,200
Speaker 2: was a thing that was like cool when we first

1036
00:56:31,280 --> 00:56:35,000
Speaker 2: got it, but nobody like made a billion dollars selling

1037
00:56:35,120 --> 00:56:37,520
Speaker 2: spell Check. It's just like a thing that's everywhere now

1038
00:56:37,800 --> 00:56:41,760
Speaker 2: and it's like everybody knows how to program it into

1039
00:56:42,000 --> 00:56:45,080
Speaker 2: whatever they're doing. And so like every everybody's going to

1040
00:56:45,160 --> 00:56:48,640
Speaker 2: have access to AI. It's going to be recognized as

1041
00:56:48,800 --> 00:56:53,560
Speaker 2: like the not very like impressive technology, and then we'll

1042
00:56:53,680 --> 00:56:56,759
Speaker 2: keep developing along the path to like where a I

1043
00:56:56,840 --> 00:57:01,560
Speaker 2: will eventually like be more powerful and something that what

1044
00:57:01,880 --> 00:57:04,000
Speaker 2: we'll have to reckon with. But like this version is

1045
00:57:04,120 --> 00:57:06,719
Speaker 2: not it, and it's eventually just going to be like

1046
00:57:06,840 --> 00:57:10,320
Speaker 2: something that's kind of everywhere. But also this path is

1047
00:57:10,440 --> 00:57:13,360
Speaker 2: not it the large language model business that's that's his

1048
00:57:13,480 --> 00:57:17,480
Speaker 2: whole thing. It's not like a type of consciousness that's

1049
00:57:17,680 --> 00:57:20,640
Speaker 2: just not that will improve with more processing power. It

1050
00:57:20,720 --> 00:57:23,920
Speaker 2: is simply going down the actual wrong road of.

1051
00:57:24,080 --> 00:57:25,800
Speaker 3: Wait, but not it for what and who?

1052
00:57:26,720 --> 00:57:30,400
Speaker 1: I mean it as in, if these dumb focks think

1053
00:57:30,440 --> 00:57:33,479
Speaker 1: they can build like the equivalent of a conscious mind

1054
00:57:33,600 --> 00:57:37,200
Speaker 1: out of silicon chips, Yeah, this is not how you

1055
00:57:37,360 --> 00:57:39,800
Speaker 1: even do that, Okay, Yeah, which.

1056
00:57:39,680 --> 00:57:41,280
Speaker 2: Is what we also understand because.

1057
00:57:42,840 --> 00:57:44,560
Speaker 1: Yeah, but that's what I mean.

1058
00:57:44,480 --> 00:57:47,280
Speaker 4: With these Like with these articles though, I get confused

1059
00:57:47,280 --> 00:57:49,800
Speaker 4: because I'm kind of like, it's not it for the

1060
00:57:49,920 --> 00:57:53,040
Speaker 4: tech industry. It's not it for art and technology, Like

1061
00:57:53,080 --> 00:57:54,560
Speaker 4: what is it not? If that's where I So I

1062
00:57:54,800 --> 00:57:57,120
Speaker 4: get what you're saying that because it is confusing sometimes.

1063
00:57:57,240 --> 00:58:00,360
Speaker 1: Yeah, well, because the other problem with with the media

1064
00:58:00,440 --> 00:58:02,960
Speaker 1: about AI, I will say, I think is that like

1065
00:58:04,040 --> 00:58:07,800
Speaker 1: everyone has different incentives, Like all the tech people their

1066
00:58:07,920 --> 00:58:10,160
Speaker 1: goal is a world where they don't have to employ

1067
00:58:10,320 --> 00:58:15,040
Speaker 1: human beings. Yes, people like are being pitched this idea

1068
00:58:15,160 --> 00:58:17,080
Speaker 1: that oh, you can I don't know, fucking write a

1069
00:58:17,200 --> 00:58:20,360
Speaker 1: novel with just by asking this or whatever the fuck

1070
00:58:20,640 --> 00:58:22,440
Speaker 1: you know what I mean, or this is like a

1071
00:58:22,480 --> 00:58:24,760
Speaker 1: little assistant for you. And the reality is it's like

1072
00:58:24,840 --> 00:58:27,440
Speaker 1: just like none of those things and those things are

1073
00:58:27,520 --> 00:58:31,720
Speaker 1: not consonant with each other. So like that that's why

1074
00:58:31,760 --> 00:58:34,240
Speaker 1: I think the like the it of what AI's it

1075
00:58:34,480 --> 00:58:38,360
Speaker 1: is is such a confusing moving target because at best

1076
00:58:38,640 --> 00:58:41,360
Speaker 1: they're like deluded about what it is, but more realistically

1077
00:58:41,360 --> 00:58:43,240
Speaker 1: they're just lying about what the goals.

1078
00:58:42,960 --> 00:58:46,240
Speaker 2: Are to you, right, I think so that we use

1079
00:58:46,320 --> 00:58:50,160
Speaker 2: it and train help train it. I think even the thing.

1080
00:58:50,120 --> 00:58:52,440
Speaker 1: They didn't count on is how bad that training was

1081
00:58:52,480 --> 00:58:54,080
Speaker 1: because people are fucking stupid.

1082
00:58:54,520 --> 00:58:57,600
Speaker 3: That's so funny, but that's so such sweet, you know,

1083
00:58:57,920 --> 00:58:59,240
Speaker 3: Like I love that.

1084
00:58:59,640 --> 00:59:02,280
Speaker 2: Yeah, it is just going to be used to try

1085
00:59:02,360 --> 00:59:04,960
Speaker 2: and advertise to us. We talked earlier this week about

1086
00:59:05,240 --> 00:59:07,240
Speaker 2: like the model that they're developing in the background that

1087
00:59:07,800 --> 00:59:10,880
Speaker 2: they're like, we're moving from the attention economy to the

1088
00:59:11,080 --> 00:59:15,120
Speaker 2: intention economy, where now we're going to sell your intention.

1089
00:59:15,720 --> 00:59:19,520
Speaker 2: We're going to sell your free will to marketers. So basically,

1090
00:59:19,720 --> 00:59:23,200
Speaker 2: like as you interact with an AI assistant in the background,

1091
00:59:23,280 --> 00:59:25,840
Speaker 2: that AI assistant is going to be attached to a

1092
00:59:26,560 --> 00:59:29,360
Speaker 2: market where people are buying and selling, like what it

1093
00:59:29,520 --> 00:59:30,640
Speaker 2: suggests that you do.

1094
00:59:31,280 --> 00:59:33,600
Speaker 4: Yeah, you know, I listened to that, and I just

1095
00:59:33,800 --> 00:59:35,600
Speaker 4: my whole thing the whole time is like I felt

1096
00:59:35,760 --> 00:59:38,680
Speaker 4: better because it's sort of this behemoth and sounds scared.

1097
00:59:38,680 --> 00:59:41,200
Speaker 3: But then I'm going like, oh, but it's for ads, yeah.

1098
00:59:41,080 --> 00:59:44,320
Speaker 2: For ads, and also it'll suck, Like that sounds terrible.

1099
00:59:44,360 --> 00:59:46,720
Speaker 2: The second people know that's what's happening, I feel like.

1100
00:59:46,960 --> 00:59:49,880
Speaker 4: I don't know, maybe connect your value from things a second.

1101
00:59:49,920 --> 00:59:52,240
Speaker 4: We like help people have i don't know, grounded emotional

1102
00:59:52,680 --> 00:59:55,680
Speaker 4: bases as individuals. Like then I'm not so worried.

1103
00:59:56,760 --> 00:59:59,240
Speaker 2: Yeah that's true if it's just adds well.

1104
00:59:59,280 --> 01:00:04,480
Speaker 1: And also it's specifically designed given or not specifically designed,

1105
01:00:04,520 --> 01:00:07,800
Speaker 1: but like it's fallen into like the way the market

1106
01:00:07,920 --> 01:00:11,840
Speaker 1: and the culture around it has it is the worst

1107
01:00:11,880 --> 01:00:14,280
Speaker 1: people are by far the most susceptible to it. So

1108
01:00:14,360 --> 01:00:17,480
Speaker 1: I'm kind of not hating it. I'm just like, yeah,

1109
01:00:17,520 --> 01:00:19,880
Speaker 1: that's right, you should. I actually would not mind you

1110
01:00:20,000 --> 01:00:23,200
Speaker 1: reaping what you saw because good fucking god.

1111
01:00:23,920 --> 01:00:26,800
Speaker 2: Yeah, well, Mo, it's been a true pleasure having you

1112
01:00:26,920 --> 01:00:28,000
Speaker 2: on the daily zeitgeist.

1113
01:00:28,880 --> 01:00:30,040
Speaker 3: Joy, I could gap all day.

1114
01:00:30,480 --> 01:00:33,440
Speaker 2: Where where can people find you? Follow you, hear you

1115
01:00:33,600 --> 01:00:34,440
Speaker 2: all that good stuff.

1116
01:00:35,080 --> 01:00:39,520
Speaker 4: Please join me in my podcast Worse Than You with

1117
01:00:39,640 --> 01:00:43,200
Speaker 4: Mofrey Passik. We've break down sort of people's creative process,

1118
01:00:43,920 --> 01:00:47,120
Speaker 4: usually comedians, but also different artists, why they make their art,

1119
01:00:47,320 --> 01:00:49,800
Speaker 4: why it means something to them, and also just the

1120
01:00:49,880 --> 01:00:53,040
Speaker 4: logistical process of making things. Because again I'm very literal,

1121
01:00:53,120 --> 01:00:55,360
Speaker 4: I need people to break it down. You can also

1122
01:00:55,440 --> 01:00:59,400
Speaker 4: follow me at at MOPA m E a ux Pas

1123
01:01:00,240 --> 01:01:02,760
Speaker 4: and I just you know, touch a flower today, have

1124
01:01:02,840 --> 01:01:04,160
Speaker 4: a good day's.

1125
01:01:04,480 --> 01:01:07,080
Speaker 2: Yeah, that's good advice. It's the best thing anyone said.

1126
01:01:06,920 --> 01:01:10,080
Speaker 1: On this Fly over to the flower and just drink

1127
01:01:10,120 --> 01:01:13,680
Speaker 1: the whole fucking thing down. There's a hummingbird pod.

1128
01:01:15,760 --> 01:01:19,600
Speaker 2: We do have a large hummingbird listenership.

1129
01:01:19,720 --> 01:01:20,840
Speaker 3: So I heard that.

1130
01:01:21,000 --> 01:01:23,560
Speaker 2: Yeah, is there a working media you've been enjoying?

1131
01:01:24,160 --> 01:01:28,920
Speaker 4: Okay, So I vacillate between like you know, niche artists

1132
01:01:29,160 --> 01:01:34,040
Speaker 4: of like nineteen twenty and Summer House, and I love

1133
01:01:34,120 --> 01:01:36,480
Speaker 4: sort of the connectivity of it. So I was trying

1134
01:01:36,520 --> 01:01:39,040
Speaker 4: to think of different media. But the one prompt he

1135
01:01:39,280 --> 01:01:40,840
Speaker 4: was at tweet and I just wanted to share a

1136
01:01:40,840 --> 01:01:43,560
Speaker 4: tweet that I think of all the time, and it's

1137
01:01:43,600 --> 01:01:46,800
Speaker 4: for twenty twenty and it's my favorite. When everyone's talking

1138
01:01:46,800 --> 01:01:50,120
Speaker 4: about like male female bodied dynamics or all of those,

1139
01:01:50,640 --> 01:01:51,200
Speaker 4: Rachel sent it.

1140
01:01:51,280 --> 01:01:51,640
Speaker 3: Tweet it.

1141
01:01:52,080 --> 01:01:55,280
Speaker 4: Sometimes guys are like, wow, I'm intimidated by how organized

1142
01:01:55,320 --> 01:01:58,080
Speaker 4: you are, and I'm like, okay, well, I'm intimidated by

1143
01:01:58,120 --> 01:01:59,880
Speaker 4: the fact that you could kill me with your bare hands,

1144
01:02:03,480 --> 01:02:05,880
Speaker 4: and that comes up in my head all the time.

1145
01:02:05,920 --> 01:02:07,800
Speaker 4: I enjoy every time I think of it. I feel

1146
01:02:07,880 --> 01:02:10,200
Speaker 4: so scene. I love it it so much.

1147
01:02:11,800 --> 01:02:14,760
Speaker 2: That's great, Andrew, thank you so much for joining. Where

1148
01:02:14,800 --> 01:02:16,680
Speaker 2: can people find you as their work of media.

1149
01:02:16,480 --> 01:02:19,400
Speaker 1: You've been enjoying don't find me? I don't know. Andrew

1150
01:02:19,440 --> 01:02:24,200
Speaker 1: t podcast is leave Me Alone the I mean the

1151
01:02:24,320 --> 01:02:26,800
Speaker 1: two works of media. I'm going to see Sinners a

1152
01:02:26,880 --> 01:02:30,640
Speaker 1: third time this week. I love that movie. But I

1153
01:02:30,760 --> 01:02:33,040
Speaker 1: guess the more obscure piece of media is there is

1154
01:02:33,160 --> 01:02:39,640
Speaker 1: a YouTube DJ named Jolzo. She's Chinese. Let me She's Chinese.

1155
01:02:40,960 --> 01:02:44,400
Speaker 1: Z h oh you I think, but it's kind of

1156
01:02:44,480 --> 01:02:48,200
Speaker 1: Chinese for ramble around and one of her sets she

1157
01:02:48,320 --> 01:02:50,880
Speaker 1: plays a bunch of Chinese city pop, which is way

1158
01:02:51,000 --> 01:02:54,160
Speaker 1: less well known than Japanese city pop. I'll just say

1159
01:02:54,200 --> 01:02:56,920
Speaker 1: as a Chinese person, I could acknowledge it's less good,

1160
01:02:57,160 --> 01:03:00,480
Speaker 1: but it's there. But her sets are great. She's very,

1161
01:03:00,840 --> 01:03:03,520
Speaker 1: very like you know, chill vibes to grove out to

1162
01:03:03,680 --> 01:03:06,720
Speaker 1: kind of business. And I don't know, I've been enjoying

1163
01:03:06,760 --> 01:03:08,720
Speaker 1: it so I'm fucking old. So this was a real

1164
01:03:08,800 --> 01:03:11,360
Speaker 1: revelation for me. I was like, oh, people are doing it.

1165
01:03:11,480 --> 01:03:16,959
Speaker 2: Col DJ sets on Oh my goodness, this cool DJ set.

1166
01:03:17,240 --> 01:03:18,880
Speaker 1: I remember these songs.

1167
01:03:21,560 --> 01:03:26,000
Speaker 2: You can find me on Twitter at Jack Underscore O'Brian

1168
01:03:26,080 --> 01:03:30,760
Speaker 2: on Blue Sky at jack Obi the Number one Yeah.

1169
01:03:31,360 --> 01:03:31,560
Speaker 1: D C.

1170
01:03:31,680 --> 01:03:35,640
Speaker 2: Pearson took a picture of a rack at the at

1171
01:03:35,680 --> 01:03:41,080
Speaker 2: the grocery store and on one shelf was National Geographic

1172
01:03:41,440 --> 01:03:44,320
Speaker 2: Pope Francis a Life of Service, and the next one

1173
01:03:44,480 --> 01:03:48,040
Speaker 2: was Time Magazine, Hello Kitty, the Power of Cuteness, and

1174
01:03:48,160 --> 01:03:49,720
Speaker 2: he said, sucks they never got.

1175
01:03:49,600 --> 01:03:50,640
Speaker 1: To collabse.

1176
01:03:52,680 --> 01:03:54,200
Speaker 3: That's so, that's so true.

1177
01:03:55,200 --> 01:03:59,200
Speaker 2: It would have been still good. You can find us

1178
01:03:59,280 --> 01:04:03,040
Speaker 2: on Twitter and Blue Sky at Daily Zeitgeist. We're at

1179
01:04:03,200 --> 01:04:07,200
Speaker 2: the Daily Zeitgeist on Instagram. You can click on this

1180
01:04:07,360 --> 01:04:10,920
Speaker 2: episode wherever you're listening to it and go to the description,

1181
01:04:11,320 --> 01:04:13,680
Speaker 2: and there you will find the footnotes, which is where

1182
01:04:13,720 --> 01:04:16,400
Speaker 2: we link off to the information that we talked about

1183
01:04:16,520 --> 01:04:18,880
Speaker 2: in today's episode. We also link off to a song

1184
01:04:19,000 --> 01:04:22,600
Speaker 2: that we think you might enjoy. Super producer Justin is

1185
01:04:22,720 --> 01:04:25,400
Speaker 2: there a song that you think the people might enjoy?

1186
01:04:25,880 --> 01:04:29,080
Speaker 5: Yeah, I recently came across this track that I think

1187
01:04:29,120 --> 01:04:34,320
Speaker 5: I can only describe as like a warm summer romance

1188
01:04:34,400 --> 01:04:40,000
Speaker 5: between your ears is so relaxing. There's this nice, little

1189
01:04:40,320 --> 01:04:44,240
Speaker 5: pleasant whistle in between these guitar notes, and the vocals

1190
01:04:44,280 --> 01:04:45,360
Speaker 5: are so smooth.

1191
01:04:45,640 --> 01:04:49,120
Speaker 3: I just it really sends me into a relaxing vibe.

1192
01:04:49,200 --> 01:04:53,520
Speaker 5: So this is indeed by Cruiser Cruza and you can

1193
01:04:53,560 --> 01:04:55,400
Speaker 5: find that in the footnotes footnotes.

1194
01:04:55,520 --> 01:04:57,720
Speaker 2: The Daily Zeitgeist a production of iHeart Radio. For more

1195
01:04:57,760 --> 01:05:00,840
Speaker 2: podcast from my Heart Radio, visit the iHeartRadio app, Apple podcast,

1196
01:05:00,920 --> 01:05:03,680
Speaker 2: or wherever you listen to your favorite shows. That's going

1197
01:05:03,760 --> 01:05:05,640
Speaker 2: to do it for us this morning. We're back this

1198
01:05:05,760 --> 01:05:08,640
Speaker 2: afternoon to tell you what's trending, and we'll talk to

1199
01:05:08,680 --> 01:05:09,360
Speaker 2: you all then bite.

1200
01:05:10,120 --> 01:05:12,840
Speaker 4: The Daily zeit Guys is executive produced by Catherine Long

1201
01:05:13,240 --> 01:05:15,520
Speaker 4: co produced by Bee Wag, co

1202
01:05:15,720 --> 01:05:19,360
Speaker 2: Produced by Victor Wright, co written by J M McNabb,

1203
01:05:19,880 --> 01:05:22,360
Speaker 2: edited and engineered by Justin Conner.