1
00:00:00,240 --> 00:00:04,480
Speaker 1: Hello the Internet, and welcome to this week trend long

2
00:00:04,559 --> 00:00:07,400
Speaker 1: week trend trending edition.

3
00:00:07,680 --> 00:00:12,280
Speaker 2: Of Durdey's Yeah It's Correct by Radio.

4
00:00:12,240 --> 00:00:14,240
Speaker 1: And it's a podcast where we take a deep dive

5
00:00:14,280 --> 00:00:17,880
Speaker 1: into American share consciousness. And I am jacking that over there.

6
00:00:18,000 --> 00:00:20,919
Speaker 1: Well that's Miles Yep, Miles Gray.

7
00:00:21,120 --> 00:00:24,479
Speaker 3: What's going on? Man, I'm I'm in. I'm in the

8
00:00:24,520 --> 00:00:25,160
Speaker 3: three oh five.

9
00:00:25,360 --> 00:00:28,600
Speaker 2: I'm mister mister Miami three oh five worldwide wide.

10
00:00:29,200 --> 00:00:32,199
Speaker 3: Yeah, out here visiting her Majesty's.

11
00:00:32,360 --> 00:00:34,360
Speaker 2: Some of her family like her, Some of her family

12
00:00:34,360 --> 00:00:36,920
Speaker 2: hails from this part of Florida.

13
00:00:37,400 --> 00:00:37,920
Speaker 3: And it's great.

14
00:00:37,920 --> 00:00:40,640
Speaker 2: Man caught the caught the fucking Miami Boat Show in

15
00:00:40,680 --> 00:00:44,080
Speaker 2: that the fucking traffic was so fucked up. I thought

16
00:00:44,240 --> 00:00:47,280
Speaker 2: people were fleeing like this area for their lives. It

17
00:00:47,320 --> 00:00:50,200
Speaker 2: was like apocalyptic bumper to bumper traffic at times.

18
00:00:51,600 --> 00:00:53,880
Speaker 3: But yeah, other than that, did you catch it on

19
00:00:53,920 --> 00:00:56,080
Speaker 3: purpose or you were just like study traffic?

20
00:00:56,480 --> 00:00:58,760
Speaker 2: This is just a time when like her family was

21
00:00:58,800 --> 00:01:00,160
Speaker 2: going to be able to get together because a lot

22
00:01:00,160 --> 00:01:01,880
Speaker 2: of people had babies, so it was a time to

23
00:01:02,000 --> 00:01:03,520
Speaker 2: like bring all the babies together.

24
00:01:03,960 --> 00:01:05,920
Speaker 3: And it just happened to be the fucking weekend of

25
00:01:05,959 --> 00:01:06,600
Speaker 3: the boat show.

26
00:01:07,240 --> 00:01:09,319
Speaker 2: Yeah, a lot of boats, a lot of boats around,

27
00:01:09,440 --> 00:01:10,319
Speaker 2: a lot of boat people.

28
00:01:10,560 --> 00:01:14,039
Speaker 1: I once got caught in the US open up surfing

29
00:01:14,200 --> 00:01:19,000
Speaker 1: by accident, like in what one of those beach towns

30
00:01:19,040 --> 00:01:24,000
Speaker 1: down like Orange County area, and huh it was uh

31
00:01:24,240 --> 00:01:27,360
Speaker 1: is the word? Like I was delayed like four hours.

32
00:01:29,120 --> 00:01:31,840
Speaker 1: It was. It was a nightmare. Yeah, we just like

33
00:01:31,959 --> 00:01:34,679
Speaker 1: gave up at a certain point and like went in

34
00:01:34,720 --> 00:01:35,959
Speaker 1: a parking lot and took a nap.

35
00:01:36,400 --> 00:01:38,600
Speaker 3: Oh shit, that's real bad. Now.

36
00:01:38,680 --> 00:01:41,120
Speaker 2: I wasn't that bad, but it was definitely like like

37
00:01:41,280 --> 00:01:43,479
Speaker 2: when we got in, like what the fuck's going on

38
00:01:43,640 --> 00:01:46,039
Speaker 2: in town right now? And then every signs like boat

39
00:01:46,040 --> 00:01:49,720
Speaker 2: show traffic's boat show thing this way? And then it

40
00:01:49,840 --> 00:01:52,800
Speaker 2: rained all I think I brought the California rain with me. Anyway,

41
00:01:52,840 --> 00:01:54,600
Speaker 2: It's fine, it's great Florida boat shows.

42
00:01:54,600 --> 00:01:56,800
Speaker 1: Though, I'm assuming like a lot of just like kind

43
00:01:56,840 --> 00:02:00,760
Speaker 1: of thoughtful messaging and design, some.

44
00:02:00,840 --> 00:02:04,800
Speaker 2: Really cool trucks, you know, with some really really forward

45
00:02:04,880 --> 00:02:09,440
Speaker 2: thinking progressive ideals blazoned on the front. Yeah, I've seen

46
00:02:09,480 --> 00:02:13,240
Speaker 2: some fucking people have some really interesting placards, like like

47
00:02:13,880 --> 00:02:16,040
Speaker 2: there's some I don't know, man, there's just it's like

48
00:02:16,080 --> 00:02:20,200
Speaker 2: any city interesting placards. Okay, someone had a thing in

49
00:02:20,240 --> 00:02:22,959
Speaker 2: there over like in their rear view window that looked

50
00:02:22,960 --> 00:02:25,760
Speaker 2: like a handicap placard. It's like blue, and then if

51
00:02:25,800 --> 00:02:28,800
Speaker 2: you look at it, it says I'm not handicapped, just

52
00:02:28,840 --> 00:02:32,400
Speaker 2: slightly our word, and you're like, what the fuck?

53
00:02:33,440 --> 00:02:35,360
Speaker 3: I was like, I was like, what the fuck is this?

54
00:02:35,400 --> 00:02:37,360
Speaker 3: I'm like, this is a real attack, Like no, but

55
00:02:37,440 --> 00:02:40,120
Speaker 3: what the fuck is this? And what is this person

56
00:02:40,240 --> 00:02:41,400
Speaker 3: saying about themselves?

57
00:02:41,440 --> 00:02:44,160
Speaker 2: So I don't know anyway, It's just there's a ton

58
00:02:44,200 --> 00:02:45,320
Speaker 2: of there's there's a lot going on.

59
00:02:45,360 --> 00:02:48,200
Speaker 3: Man, there's a lot going on. Florida, Florida baby.

60
00:02:48,440 --> 00:02:51,240
Speaker 1: All right, Well, this is the show where we catch

61
00:02:51,320 --> 00:02:53,720
Speaker 1: up with the things that have been trending over the

62
00:02:53,760 --> 00:02:56,880
Speaker 1: past few days. It's a long weekend. This one feels

63
00:02:57,080 --> 00:02:58,240
Speaker 1: especially long ago.

64
00:02:58,639 --> 00:03:00,640
Speaker 3: Yeah, but they were mere home. It's ago.

65
00:03:01,320 --> 00:03:05,600
Speaker 1: I know, it's it's been a Some weekends is a decade,

66
00:03:05,880 --> 00:03:08,200
Speaker 1: I think is the is the brilliant saying I think

67
00:03:08,240 --> 00:03:11,280
Speaker 1: it was a check off or someone like that said

68
00:03:11,720 --> 00:03:13,639
Speaker 1: some weekends is a decade.

69
00:03:14,880 --> 00:03:16,880
Speaker 3: Some weeks. So before we.

70
00:03:16,800 --> 00:03:20,960
Speaker 1: Get to that stuff, we do like to check in

71
00:03:21,120 --> 00:03:23,880
Speaker 1: with each other by telling you stuff that we think.

72
00:03:23,840 --> 00:03:26,640
Speaker 3: Is underrated, overrated?

73
00:03:27,160 --> 00:03:28,519
Speaker 1: You want me to start off, you want to, you

74
00:03:28,600 --> 00:03:31,079
Speaker 1: want me to kick us off with an underrated.

75
00:03:31,000 --> 00:03:34,200
Speaker 3: Whatever you want, dealer's choice, dealer's choice.

76
00:03:34,240 --> 00:03:38,160
Speaker 1: So my first underrated on a personal note, is my

77
00:03:38,280 --> 00:03:43,440
Speaker 1: five year old's ability to just fucking roast me. I've

78
00:03:43,440 --> 00:03:46,440
Speaker 1: talked about this before, but I came back, came home

79
00:03:47,000 --> 00:03:51,080
Speaker 1: after a haircut yesterday and he just pointed at my

80
00:03:51,160 --> 00:03:55,920
Speaker 1: head and said, what happened? And then wow, I said,

81
00:03:55,960 --> 00:03:58,680
Speaker 1: I got a haircut, and he said, looks weird and

82
00:03:59,040 --> 00:04:01,160
Speaker 1: then went back to buildings legos.

83
00:04:01,600 --> 00:04:06,560
Speaker 3: So just casually, Uh no, is that what you buzzed

84
00:04:06,560 --> 00:04:09,040
Speaker 3: your head? Yeah? Yeah, so I shaved my head off.

85
00:04:09,360 --> 00:04:14,400
Speaker 1: Yeah, just went all the way down like you happy now,

86
00:04:15,240 --> 00:04:19,360
Speaker 1: Oh my god, it looks weird.

87
00:04:19,680 --> 00:04:23,279
Speaker 3: Back to my regularly scheduled programming. Yes, it's weird, man.

88
00:04:25,560 --> 00:04:28,240
Speaker 1: I also put just on a broader scale. I saw

89
00:04:28,279 --> 00:04:31,080
Speaker 1: this clip. Do you see the clip of the referee

90
00:04:31,240 --> 00:04:34,359
Speaker 1: doing a jump ball in an NBA or in a

91
00:04:34,560 --> 00:04:39,960
Speaker 1: not NBA in a basketball game and he just like

92
00:04:40,080 --> 00:04:42,599
Speaker 1: kind of throws it to one of the teams. Like

93
00:04:43,279 --> 00:04:46,159
Speaker 1: It's like, what would happen if I had like quantum

94
00:04:46,200 --> 00:04:50,599
Speaker 1: leaped into a referee's body and then you like spun

95
00:04:50,680 --> 00:04:53,560
Speaker 1: me around ten times and then just like sent me

96
00:04:53,600 --> 00:04:56,720
Speaker 1: out there and was like jump off, you go go

97
00:04:56,800 --> 00:04:57,920
Speaker 1: do this thing now.

98
00:04:58,400 --> 00:05:03,799
Speaker 3: Yo, that is what is this game fixed? It really

99
00:05:03,839 --> 00:05:05,040
Speaker 3: feels like it.

100
00:05:05,960 --> 00:05:08,280
Speaker 1: You would be suspicious it was fixed if it weren't

101
00:05:08,400 --> 00:05:10,880
Speaker 1: so blatant. But he just kind of like throws it

102
00:05:10,920 --> 00:05:13,159
Speaker 1: to one team. Everybody's like kind of standing there, like

103
00:05:13,240 --> 00:05:14,640
Speaker 1: confused as to what happened.

104
00:05:16,200 --> 00:05:16,279
Speaker 4: This.

105
00:05:16,520 --> 00:05:19,920
Speaker 2: Also, I've never seen a ref positioned like so far

106
00:05:20,000 --> 00:05:22,000
Speaker 2: away from the two players on a jump ball.

107
00:05:22,279 --> 00:05:22,839
Speaker 3: Yeah.

108
00:05:23,000 --> 00:05:26,719
Speaker 1: No, it's like he had never even seen a jump

109
00:05:26,800 --> 00:05:27,480
Speaker 1: ball before.

110
00:05:27,839 --> 00:05:28,520
Speaker 3: Yeah, it was.

111
00:05:28,560 --> 00:05:31,599
Speaker 1: It was like they pulled him in off the street.

112
00:05:32,120 --> 00:05:35,400
Speaker 1: It reminded me of the Enrico Palazzo scene in Naked

113
00:05:35,480 --> 00:05:39,440
Speaker 1: Gun where Leslie Nielsen like takes over as the ref

114
00:05:39,560 --> 00:05:41,920
Speaker 1: of a major league baseball game because he's like undercover

115
00:05:42,160 --> 00:05:44,000
Speaker 1: and knows that one of the players is going to.

116
00:05:46,800 --> 00:05:47,400
Speaker 3: Yeah.

117
00:05:47,600 --> 00:05:53,440
Speaker 1: Yeah, but this I also it's very entertaining.

118
00:05:53,680 --> 00:05:56,839
Speaker 2: First of all, honestly, what we have to put this

119
00:05:56,880 --> 00:06:00,800
Speaker 2: in the footnotes because just I can't look. It's so

120
00:06:01,120 --> 00:06:05,000
Speaker 2: it's confounding, like even the players are fucking confused. They

121
00:06:05,080 --> 00:06:09,960
Speaker 2: stop the guy who stops like, yeah, play on, and

122
00:06:10,040 --> 00:06:11,560
Speaker 2: he's like, oh shit, they starts.

123
00:06:11,279 --> 00:06:14,440
Speaker 3: Taking the court. Yeah, but I don't know.

124
00:06:14,520 --> 00:06:19,200
Speaker 1: I there's I've talked before about how medieval carnivals, like

125
00:06:19,560 --> 00:06:22,400
Speaker 1: they would have these weeks where people would switch jobs,

126
00:06:22,400 --> 00:06:24,760
Speaker 1: like the chiefs would switch with the custodian, and the

127
00:06:24,800 --> 00:06:27,200
Speaker 1: custodian would be the chief. And I think we should

128
00:06:27,360 --> 00:06:32,720
Speaker 1: go back to people getting to just randomly or having

129
00:06:32,800 --> 00:06:36,359
Speaker 1: to do the job of other people, just so that

130
00:06:36,400 --> 00:06:41,520
Speaker 1: we appreciate those jobs more. Yeah, you know, like seeing

131
00:06:41,560 --> 00:06:45,200
Speaker 1: somebody do the job of throwing a jump ball.

132
00:06:45,320 --> 00:06:47,120
Speaker 3: This badly made me.

133
00:06:47,800 --> 00:06:49,560
Speaker 1: I'm like, oh shit, they must be working on their

134
00:06:49,640 --> 00:06:52,640
Speaker 1: jump balls, like one hundred jump balls a day as

135
00:06:52,640 --> 00:06:56,840
Speaker 1: a round, because this makes you realize how unnatural it

136
00:06:56,880 --> 00:06:58,960
Speaker 1: is to be able to like throw throw it up

137
00:06:59,000 --> 00:07:01,920
Speaker 1: in between two people like it.

138
00:07:01,720 --> 00:07:04,279
Speaker 2: In a way that doesn't favor one over the other.

139
00:07:04,680 --> 00:07:06,960
Speaker 2: Whereas this goes, it's like, hey, I'm passionate to you here,

140
00:07:07,040 --> 00:07:07,400
Speaker 2: goo bud.

141
00:07:07,920 --> 00:07:14,040
Speaker 1: Yeah. Yeah, they like Undercover Boss. I guess is entertain

142
00:07:14,120 --> 00:07:16,960
Speaker 1: I've never watched it, but the premise is certainly entertaining.

143
00:07:17,840 --> 00:07:21,320
Speaker 1: You never stacked towards the bosses, but like, if we

144
00:07:21,440 --> 00:07:24,880
Speaker 1: got the opposite, where like if like a rich person

145
00:07:25,000 --> 00:07:28,920
Speaker 1: got caught bitching about Starbucks employees on social media, they

146
00:07:29,120 --> 00:07:33,960
Speaker 1: had to start in a reality TV episode or at

147
00:07:34,080 --> 00:07:36,520
Speaker 1: least like an act of reality TV where they had

148
00:07:36,520 --> 00:07:39,080
Speaker 1: to do like a Starbucks rush hour.

149
00:07:39,840 --> 00:07:41,640
Speaker 3: No, that should be so entertaining.

150
00:07:41,680 --> 00:07:44,800
Speaker 2: You should do for you do you do a work week,

151
00:07:45,120 --> 00:07:47,680
Speaker 2: you know, and and and get your licks in.

152
00:07:47,760 --> 00:07:52,120
Speaker 1: For sure, make people deliver their own Amazon package, you know.

153
00:07:53,080 --> 00:07:54,880
Speaker 3: See what that process is?

154
00:07:54,960 --> 00:07:59,400
Speaker 2: Like, Yeah, I think, yeah, I like the idea of, yeah,

155
00:07:59,520 --> 00:08:01,480
Speaker 2: the people always need to do this. I forget what

156
00:08:01,600 --> 00:08:03,440
Speaker 2: Guests was saying, like we need to make like uh

157
00:08:03,640 --> 00:08:07,200
Speaker 2: like food service work mandatory for every American to just

158
00:08:07,240 --> 00:08:10,120
Speaker 2: like set a baseline of decency for how we interact with.

159
00:08:10,040 --> 00:08:14,680
Speaker 1: People instead of mandatory military service mandatory like McDonald's, which

160
00:08:14,720 --> 00:08:17,480
Speaker 1: is sad because what we're saying is mandatory, get your

161
00:08:17,520 --> 00:08:21,160
Speaker 1: shit together, you fucking adult, Like it's that's That's what

162
00:08:21,160 --> 00:08:22,880
Speaker 1: where we have to lean in on is people to

163
00:08:22,960 --> 00:08:27,160
Speaker 1: appreciate the work that others do. But yeah, Undercover Boss though, man,

164
00:08:27,200 --> 00:08:29,080
Speaker 1: when that shit first came out, though, there was this

165
00:08:29,120 --> 00:08:31,120
Speaker 1: thing like I'm sure I brought this up on the

166
00:08:31,120 --> 00:08:33,199
Speaker 1: show before, but like in the early two thousands, like

167
00:08:33,240 --> 00:08:37,040
Speaker 1: post nine to eleven, Like having a connection to someone

168
00:08:37,200 --> 00:08:40,480
Speaker 1: in nine to eleven was like reality show gold where

169
00:08:40,480 --> 00:08:43,960
Speaker 1: it's like, oh, after this person, yeah, they're like, yeah,

170
00:08:44,000 --> 00:08:47,120
Speaker 1: my partner was in nine to eleven and Bob they're like,

171
00:08:47,160 --> 00:08:50,320
Speaker 1: oh my god, or like, you know, there's an undercover boss.

172
00:08:50,360 --> 00:08:51,880
Speaker 1: I remember there's a time when I was just like

173
00:08:51,960 --> 00:08:55,320
Speaker 1: binge watching it on Netflix, and like every like there's

174
00:08:55,360 --> 00:08:57,920
Speaker 1: a there's a while like oh my god, another fucking

175
00:08:58,000 --> 00:09:01,439
Speaker 1: nine to eleven thing, And every now and then you'd

176
00:09:01,440 --> 00:09:03,400
Speaker 1: get a boss who would actually kind of put together

177
00:09:03,559 --> 00:09:06,280
Speaker 1: how hard it was to work at their company and

178
00:09:06,320 --> 00:09:08,240
Speaker 1: then be like, yeah, you know what, we're actually making

179
00:09:08,320 --> 00:09:11,439
Speaker 1: major changes right here, I realized, And then others were

180
00:09:11,480 --> 00:09:12,760
Speaker 1: like these people fucking suck.

181
00:09:12,840 --> 00:09:18,599
Speaker 3: So I fired them right away. Fuck them. Yeah. I

182
00:09:18,760 --> 00:09:19,640
Speaker 3: noticed that they don't do.

183
00:09:19,600 --> 00:09:22,880
Speaker 1: It the other way, where the you know, shift worker

184
00:09:23,200 --> 00:09:25,880
Speaker 1: gets to do the job of the CEO and see

185
00:09:25,880 --> 00:09:29,920
Speaker 1: how glorious it is, get to fly in a private

186
00:09:30,000 --> 00:09:32,600
Speaker 1: jet and just have all of the minutia of day

187
00:09:32,600 --> 00:09:35,680
Speaker 1: to day life taken care of for them. I feel

188
00:09:35,720 --> 00:09:39,559
Speaker 1: like that would cause riots, and so they just focus

189
00:09:39,640 --> 00:09:44,280
Speaker 1: on the CEO and I'm sure, there's never like an

190
00:09:44,280 --> 00:09:48,440
Speaker 1: episode where the CEO is like completely unable to do

191
00:09:48,679 --> 00:09:52,080
Speaker 1: the job. I'm sure they're always like telling a good story,

192
00:09:52,120 --> 00:09:54,600
Speaker 1: but like if we could get the the honest truth

193
00:09:54,679 --> 00:09:58,880
Speaker 1: of like how hard that work is compared to answering

194
00:09:58,960 --> 00:10:00,760
Speaker 1: emails from a private No.

195
00:10:00,720 --> 00:10:03,800
Speaker 2: There's ones where there you have these fucking office creatures

196
00:10:04,120 --> 00:10:06,720
Speaker 2: cannot get busy with the blue collar work at all.

197
00:10:06,800 --> 00:10:07,199
Speaker 3: Yeah.

198
00:10:07,240 --> 00:10:09,280
Speaker 2: Oh and it's like yeah, and like to the point

199
00:10:09,320 --> 00:10:11,800
Speaker 2: where the like the people who are the like the

200
00:10:11,920 --> 00:10:14,320
Speaker 2: actual worker in this situation are like looking at them.

201
00:10:14,360 --> 00:10:16,400
Speaker 2: They're like, I don't know, honestly, this guy has no

202
00:10:16,440 --> 00:10:18,320
Speaker 2: fucking chance, Like I don't know if I can even

203
00:10:18,320 --> 00:10:20,280
Speaker 2: work with them anymore. It's like, hey, buddy, i'd fire

204
00:10:20,320 --> 00:10:22,720
Speaker 2: you if this were a real work day and not

205
00:10:22,800 --> 00:10:25,240
Speaker 2: a camera thing. And then when it's revealed later like

206
00:10:25,280 --> 00:10:27,040
Speaker 2: I'm so sorry, man, I said that to you, and

207
00:10:27,040 --> 00:10:29,360
Speaker 2: the guy was like no, no, no, I I needed

208
00:10:29,400 --> 00:10:30,880
Speaker 2: to hear that. I mean, like that just shows you

209
00:10:30,920 --> 00:10:33,040
Speaker 2: how much work you guys put into this stuff and.

210
00:10:32,960 --> 00:10:34,320
Speaker 3: How and you're fired.

211
00:10:34,800 --> 00:10:37,640
Speaker 2: Yeah, but guess what asshold you've been fired?

212
00:10:38,120 --> 00:10:38,520
Speaker 3: Yeah.

213
00:10:38,640 --> 00:10:42,520
Speaker 1: Anyways, Uh, what's something you think Miles Gray is underrated.

214
00:10:42,760 --> 00:10:45,840
Speaker 2: Ah man, Just I just think the ability of like

215
00:10:45,960 --> 00:10:49,480
Speaker 2: I we were fucked with like some AI imagery.

216
00:10:49,520 --> 00:10:50,760
Speaker 3: Man, they're the.

217
00:10:50,880 --> 00:10:55,719
Speaker 2: Popularity of AI images on Grandma and Grandpa's Facebook.

218
00:10:56,520 --> 00:10:57,720
Speaker 3: It's startling right now.

219
00:10:57,760 --> 00:11:00,560
Speaker 2: Like I've seen a few accounts on face Book that

220
00:11:00,640 --> 00:11:05,240
Speaker 2: are posting AI images. Yeah, like at first glance, seem

221
00:11:05,320 --> 00:11:09,120
Speaker 2: like real photos but are actually AI generated. I've gotten

222
00:11:09,280 --> 00:11:11,760
Speaker 2: like really into looking at mid journey and shit, just

223
00:11:11,760 --> 00:11:14,880
Speaker 2: seeing how detailed you can be with like generating some

224
00:11:14,960 --> 00:11:17,440
Speaker 2: of these images. So when I saw them, like you

225
00:11:17,480 --> 00:11:18,960
Speaker 2: can kind of look and you're like, a tree doesn't

226
00:11:18,960 --> 00:11:20,840
Speaker 2: really look like that, a bush like no one would

227
00:11:20,880 --> 00:11:22,600
Speaker 2: cut their headges like that, And you can kind of

228
00:11:22,600 --> 00:11:25,000
Speaker 2: see these other details when it's not necessarily a human

229
00:11:25,480 --> 00:11:27,880
Speaker 2: that you can begin to see sort of like these abnormalities.

230
00:11:28,160 --> 00:11:32,920
Speaker 2: But there are these accounts that post made up fancy

231
00:11:33,000 --> 00:11:38,439
Speaker 2: houses or beach locations with interesting features or architecture, and

232
00:11:38,480 --> 00:11:44,160
Speaker 2: all the commenters, most are older, are saying stuff like wow,

233
00:11:44,360 --> 00:11:47,280
Speaker 2: so beautiful, must visit this place one day.

234
00:11:47,800 --> 00:11:49,280
Speaker 3: Wow, stunning home.

235
00:11:49,600 --> 00:11:52,840
Speaker 2: And there's just like a momentum to not questioning the

236
00:11:52,880 --> 00:11:55,319
Speaker 2: images that we see already that we have like culturally,

237
00:11:55,720 --> 00:11:59,080
Speaker 2: but like it's clear that the bar is even lower

238
00:11:59,120 --> 00:12:01,440
Speaker 2: when it comes to like sort of innocuous shit like

239
00:12:01,559 --> 00:12:05,240
Speaker 2: houses or landscapes. Now it's like, oh my god, so beautiful,

240
00:12:05,280 --> 00:12:07,000
Speaker 2: and like I'm like, where the fuck is that? And

241
00:12:07,040 --> 00:12:09,680
Speaker 2: then like you'll see on Reddit people being like, oh

242
00:12:09,720 --> 00:12:12,400
Speaker 2: my god, like look at this, this like fucking AI

243
00:12:12,640 --> 00:12:14,880
Speaker 2: thing is just blowing up because someone thinks it's like

244
00:12:14,880 --> 00:12:18,320
Speaker 2: this beautiful home in the Alps. Yeah, and I just

245
00:12:18,440 --> 00:12:20,280
Speaker 2: I just realized too, like we just like to see

246
00:12:20,520 --> 00:12:23,040
Speaker 2: nice shit. So the AI stuff is really good at

247
00:12:23,040 --> 00:12:27,000
Speaker 2: making things like that, and like this brutalist home library

248
00:12:27,120 --> 00:12:30,520
Speaker 2: is fantastic, right, and like look at that fucking chair

249
00:12:30,679 --> 00:12:32,439
Speaker 2: like in the corner that's not even that doesn't even

250
00:12:32,440 --> 00:12:35,800
Speaker 2: function as a fucking chair, but whatever, it's It just

251
00:12:35,880 --> 00:12:38,760
Speaker 2: kind of shows where we're very open to a lot

252
00:12:38,800 --> 00:12:41,040
Speaker 2: of these images and it's not always easy to figure

253
00:12:41,080 --> 00:12:43,080
Speaker 2: out what the fuck is real or not anymore.

254
00:12:43,440 --> 00:12:47,520
Speaker 3: We're yeah, we're it's a weird time for AI for sure.

255
00:12:47,600 --> 00:12:50,160
Speaker 3: Well we'll get into that a little bit later, but like.

256
00:12:50,120 --> 00:12:55,400
Speaker 1: The video engines are are weird, but yeah, and then

257
00:12:55,600 --> 00:12:57,920
Speaker 1: just on the image front, like I don't know, we'll

258
00:12:57,920 --> 00:13:01,040
Speaker 1: talk about the New York post got like so horny

259
00:13:01,120 --> 00:13:05,640
Speaker 1: for this ai rendering of Jack the Ripper. They were like, Oh,

260
00:13:05,840 --> 00:13:08,120
Speaker 1: I want to he's so much.

261
00:13:10,679 --> 00:13:11,000
Speaker 3: Jack.

262
00:13:11,240 --> 00:13:18,400
Speaker 2: Rip me up, please, guy, mister rip up this ass.

263
00:13:18,880 --> 00:13:20,040
Speaker 3: Yeah, it's wild.

264
00:13:21,040 --> 00:13:26,600
Speaker 1: My overrated is taking financial advice from The Cut. I

265
00:13:26,600 --> 00:13:28,800
Speaker 1: don't know if you saw. I mean that was where

266
00:13:28,800 --> 00:13:31,240
Speaker 1: I got all my financial advice on this point was

267
00:13:31,280 --> 00:13:36,440
Speaker 1: New York Magazine's The Cut. But they were super late

268
00:13:36,480 --> 00:13:40,080
Speaker 1: on this. But it again, it's like this weekend, a

269
00:13:40,120 --> 00:13:43,600
Speaker 1: lot of shit happened like this happened late Thursday, I think.

270
00:13:43,920 --> 00:13:46,160
Speaker 3: Uh and so, the.

271
00:13:46,080 --> 00:13:50,440
Speaker 1: Personal finance columnist at The Cut wrote about how she

272
00:13:50,520 --> 00:13:54,040
Speaker 1: got scammed by someone claiming to be a caller from Amazon.

273
00:13:55,000 --> 00:14:01,760
Speaker 1: First flag, Amazon could have like accidentally like picked up

274
00:14:01,800 --> 00:14:05,199
Speaker 1: your child instead of a package that you left out,

275
00:14:05,280 --> 00:14:06,960
Speaker 1: and like you wouldn't be able to get them on

276
00:14:07,000 --> 00:14:10,679
Speaker 1: the phone, you know, like they they don't have that,

277
00:14:10,720 --> 00:14:13,480
Speaker 1: they don't have the phone. Yeah they don't. Yeah, Amazon

278
00:14:13,520 --> 00:14:14,200
Speaker 1: don't have phone.

279
00:14:14,280 --> 00:14:16,080
Speaker 2: The most you can do is like scream at like

280
00:14:16,120 --> 00:14:19,200
Speaker 2: a Cohle's or a Whole Foods that act as like

281
00:14:19,240 --> 00:14:20,880
Speaker 2: a drop off point for Amazon.

282
00:14:20,960 --> 00:14:21,160
Speaker 3: Shit.

283
00:14:21,360 --> 00:14:25,560
Speaker 1: Right then you know, the Amazon transferred her over to

284
00:14:25,600 --> 00:14:29,320
Speaker 1: the FTC, who, by the way, don't like deal with

285
00:14:29,360 --> 00:14:32,640
Speaker 1: fraud or any of this shit, who offered their badge number.

286
00:14:34,200 --> 00:14:37,920
Speaker 1: Just I want everybody at home to Google FTC badge

287
00:14:38,000 --> 00:14:41,480
Speaker 1: number because this was apparently, like what even before this

288
00:14:41,600 --> 00:14:46,640
Speaker 1: article hit, the first result for FTC badge number is

289
00:14:47,200 --> 00:14:51,600
Speaker 1: FTC commissioners aren't calling you really, Like this is just

290
00:14:51,640 --> 00:14:54,320
Speaker 1: written at the top of Google, Like it's not even

291
00:14:54,360 --> 00:14:57,400
Speaker 1: an article. It's just they've like pulled this as like

292
00:14:57,440 --> 00:15:00,800
Speaker 1: a public service. Whether the color promises you a prize

293
00:15:00,920 --> 00:15:03,760
Speaker 1: or threatens you with arrest, and even if they give

294
00:15:03,800 --> 00:15:06,600
Speaker 1: a fake badge number, that's a scammer.

295
00:15:06,560 --> 00:15:09,040
Speaker 3: Is Yeah, all they needed.

296
00:15:08,760 --> 00:15:12,240
Speaker 1: To do was type FTC badge number into Google and

297
00:15:12,360 --> 00:15:17,040
Speaker 1: Google would have helpfully been identified this as a scammer.

298
00:15:18,360 --> 00:15:21,040
Speaker 2: Yeah, we're so bad at civics that we don't even

299
00:15:21,120 --> 00:15:23,920
Speaker 2: know like you're like at the FTC, Yeah, the Federal

300
00:15:24,000 --> 00:15:26,920
Speaker 2: Trade Commission. Unless you're like, uh fucking you're running some

301
00:15:27,000 --> 00:15:31,240
Speaker 2: monopolistic business, you're not going to intersect with the FTC.

302
00:15:31,400 --> 00:15:35,320
Speaker 2: Everyb like, here's my badge number FDC commercial. But oh okay, Miles.

303
00:15:35,360 --> 00:15:37,720
Speaker 1: They got more serious from there, because then they transferred

304
00:15:37,760 --> 00:15:42,440
Speaker 1: her over to a CIA agent who confirmed the information

305
00:15:43,280 --> 00:15:49,760
Speaker 1: that the FTC badge holder was giving them a different

306
00:15:49,880 --> 00:15:55,000
Speaker 1: voice and everything, and somehow it went from there to

307
00:15:56,360 --> 00:15:59,280
Speaker 1: they convinced her that she was running out of time

308
00:15:59,760 --> 00:16:02,200
Speaker 1: before for her assets were frozen for the length of

309
00:16:02,240 --> 00:16:05,680
Speaker 1: the investigation because they were like, your identity has been stolen,

310
00:16:05,720 --> 00:16:09,880
Speaker 1: and like people are committing crimes with your identity. We

311
00:16:10,120 --> 00:16:13,440
Speaker 1: are like the NYPDS on their way to arrest you.

312
00:16:13,720 --> 00:16:16,840
Speaker 1: We're going to freeze your assets. You need to withdraw

313
00:16:17,440 --> 00:16:20,800
Speaker 1: fifty thousand dollars from your bank and give it, put

314
00:16:20,840 --> 00:16:23,440
Speaker 1: it in a shoe box and give it to the CIA,

315
00:16:24,800 --> 00:16:26,320
Speaker 1: to my CIA colleague.

316
00:16:26,440 --> 00:16:29,400
Speaker 2: And she did all that shit. She put fifty racks

317
00:16:29,400 --> 00:16:31,480
Speaker 2: in a shoe box and gave it to someone.

318
00:16:31,160 --> 00:16:32,200
Speaker 3: And gave it to someone.

319
00:16:32,280 --> 00:16:35,960
Speaker 1: They were like, a white escalade is going to pull up,

320
00:16:36,360 --> 00:16:39,120
Speaker 1: you're going to put it in the window. You're going

321
00:16:39,200 --> 00:16:42,600
Speaker 1: to say thank you, turn around and walk back into

322
00:16:42,680 --> 00:16:43,400
Speaker 1: your building.

323
00:16:43,920 --> 00:16:46,240
Speaker 3: And she did that shit.

324
00:16:46,800 --> 00:16:50,200
Speaker 1: And it's one of those things where you hear the

325
00:16:50,280 --> 00:16:55,000
Speaker 1: description of the article and you're like, oh, that's so dumb,

326
00:16:55,120 --> 00:16:58,600
Speaker 1: like that, yeah, but that you're expecting, like it's written

327
00:16:58,640 --> 00:16:59,760
Speaker 1: in a first person narrative.

328
00:17:00,200 --> 00:17:01,000
Speaker 3: You're going to.

329
00:17:01,240 --> 00:17:05,960
Speaker 1: Read it, read the details and get like some explanation

330
00:17:06,160 --> 00:17:08,080
Speaker 1: or get like kind of pulled into the stream of

331
00:17:08,119 --> 00:17:09,879
Speaker 1: events in a way that makes sense.

332
00:17:10,600 --> 00:17:12,400
Speaker 3: Right you read it, and like there.

333
00:17:12,320 --> 00:17:15,600
Speaker 1: Are just these details that are like even worse like

334
00:17:15,800 --> 00:17:20,119
Speaker 1: that this person just has all this like privilege and

335
00:17:20,359 --> 00:17:24,960
Speaker 1: also like a Jamie Lee Curtis in True Lies level

336
00:17:25,080 --> 00:17:31,600
Speaker 1: of desperation like this to be true. Yeah, exactly, Yeah,

337
00:17:31,760 --> 00:17:35,080
Speaker 1: just like wanting to be in a spy movie. I

338
00:17:35,080 --> 00:17:38,400
Speaker 1: think there's just, you know, a part of her that

339
00:17:38,480 --> 00:17:40,920
Speaker 1: wants all these spy movie tropes to be true.

340
00:17:41,480 --> 00:17:46,119
Speaker 3: And I, yeah, I don't know, it's it's it's scary

341
00:17:46,200 --> 00:17:47,800
Speaker 3: man wild, that's true.

342
00:17:47,880 --> 00:17:51,120
Speaker 2: Yeah, And truly that person should not have fucking said

343
00:17:51,160 --> 00:17:54,600
Speaker 2: anything out loud about this. Take that fucking l in silence,

344
00:17:54,680 --> 00:17:56,680
Speaker 2: especially if you're coming off with somebody who's like, hey,

345
00:17:56,680 --> 00:17:59,520
Speaker 2: listen to me for financial advice. I just pissed away

346
00:17:59,600 --> 00:18:02,560
Speaker 2: fifty K in a shoe box because someone told me

347
00:18:02,600 --> 00:18:05,040
Speaker 2: they were with the FTC won't let me be and

348
00:18:05,119 --> 00:18:06,920
Speaker 2: they passed me to the CIA.

349
00:18:07,720 --> 00:18:10,159
Speaker 3: What uh CIA? Again?

350
00:18:10,280 --> 00:18:14,639
Speaker 2: Why does the Central Intelligence a.

351
00:18:15,000 --> 00:18:17,880
Speaker 3: Badge number four four through two eight dash two? Can

352
00:18:17,920 --> 00:18:18,960
Speaker 3: I help you? Yes?

353
00:18:19,040 --> 00:18:21,160
Speaker 2: The White Escalade will be yes, and it is gonna

354
00:18:21,200 --> 00:18:24,639
Speaker 2: be blasting a fucking young thug out of it, just

355
00:18:24,640 --> 00:18:25,000
Speaker 2: so you know.

356
00:18:25,600 --> 00:18:28,000
Speaker 3: Uh, but that is official CIA scammer music.

357
00:18:28,480 --> 00:18:31,600
Speaker 1: There's a yeah, there's a part where like the person

358
00:18:33,040 --> 00:18:36,280
Speaker 1: is like, I forget. I think it's like they're they're

359
00:18:36,320 --> 00:18:38,520
Speaker 1: talking about.

360
00:18:37,640 --> 00:18:38,600
Speaker 3: Her getting arrested.

361
00:18:38,760 --> 00:18:42,400
Speaker 1: She's like, I'm thinking about googling whether this is even possible.

362
00:18:42,680 --> 00:18:44,960
Speaker 1: And then he's like and this call is being recorded,

363
00:18:45,240 --> 00:18:47,400
Speaker 1: and instead of like googling or like calling nine one

364
00:18:47,400 --> 00:18:51,199
Speaker 1: one or whatever or just like hanging up. Uh, she

365
00:18:52,240 --> 00:18:54,680
Speaker 1: is like, Oh, I know what I'll do. I'll record back.

366
00:18:54,760 --> 00:18:58,080
Speaker 1: I'll record the call back. So I'm recording it. It's like,

367
00:18:58,160 --> 00:18:59,920
Speaker 1: what the fuck is that going to do?

368
00:19:00,600 --> 00:19:03,240
Speaker 2: That's like when when like like racist Karen's get caught

369
00:19:03,280 --> 00:19:05,680
Speaker 2: in the wild and they're being videotaped videotaped and they're like,

370
00:19:05,720 --> 00:19:07,600
Speaker 2: why now I'm getting my exact It's like.

371
00:19:08,720 --> 00:19:09,960
Speaker 3: For what for what?

372
00:19:12,200 --> 00:19:12,600
Speaker 4: Oh?

373
00:19:12,720 --> 00:19:13,920
Speaker 3: No, yeah, y'all.

374
00:19:14,080 --> 00:19:16,720
Speaker 2: This is I mean shout out to the scammers, because

375
00:19:16,840 --> 00:19:19,560
Speaker 2: they really they did an inception style how many levels

376
00:19:19,560 --> 00:19:25,000
Speaker 2: of the dream FDC layer C I A layer and

377
00:19:25,119 --> 00:19:30,199
Speaker 2: now you are fifty psychological profile. I feel like that

378
00:19:30,240 --> 00:19:35,080
Speaker 2: they had built out of this person. But she's also like,

379
00:19:35,160 --> 00:19:36,960
Speaker 2: she thinks it's really a fascinating reading.

380
00:19:36,960 --> 00:19:38,359
Speaker 3: People should go read it. We'll link off to it

381
00:19:38,359 --> 00:19:39,080
Speaker 3: in the footnotes.

382
00:19:39,680 --> 00:19:42,600
Speaker 1: But she is like, I'm not the type of person

383
00:19:42,640 --> 00:19:46,560
Speaker 1: who falls for this. I vote, I flaws. I'm one,

384
00:19:47,600 --> 00:19:53,760
Speaker 1: so I vote and flaws. Yeah, oh, lady, is this

385
00:19:53,800 --> 00:19:54,040
Speaker 1: a man?

386
00:19:54,200 --> 00:19:56,280
Speaker 3: This is a This is a woman. Do you know

387
00:19:56,359 --> 00:19:58,800
Speaker 3: her name? Yeah? I mean and the.

388
00:19:58,720 --> 00:20:01,440
Speaker 1: Fact that she's a freelance writer who at eighty K

389
00:20:01,800 --> 00:20:05,040
Speaker 1: in the bank too, you know, yeah, ther shoe box.

390
00:20:05,640 --> 00:20:07,879
Speaker 3: Uh, well, she's good with her money. At least She's like,

391
00:20:07,920 --> 00:20:10,000
Speaker 3: you can be like me and be liquid fifty k

392
00:20:10,119 --> 00:20:11,520
Speaker 3: that you can just be like yeah, yeah, yeah.

393
00:20:12,320 --> 00:20:15,159
Speaker 1: Some people are saying that like her family is like

394
00:20:15,200 --> 00:20:16,439
Speaker 1: related to the Roosevelts.

395
00:20:16,440 --> 00:20:16,800
Speaker 3: I didn't.

396
00:20:16,800 --> 00:20:20,000
Speaker 1: I wasn't able to like find confirmation on that, but

397
00:20:20,680 --> 00:20:23,000
Speaker 1: it would check out. You know that this is like

398
00:20:23,640 --> 00:20:24,600
Speaker 1: generational wealth.

399
00:20:25,560 --> 00:20:27,320
Speaker 2: Just I also just like the idea that they're like,

400
00:20:27,440 --> 00:20:30,119
Speaker 2: people are using your image to or your identity to

401
00:20:30,160 --> 00:20:32,840
Speaker 2: scam people, And we know that people are using your

402
00:20:32,840 --> 00:20:34,800
Speaker 2: image to scam people, but we are going to hold

403
00:20:34,880 --> 00:20:38,640
Speaker 2: you responsible for that scamming, even though we know unequivocally

404
00:20:38,680 --> 00:20:40,720
Speaker 2: you are not the person doing Like what the fuck

405
00:20:40,840 --> 00:20:41,560
Speaker 2: the logic does?

406
00:20:42,240 --> 00:20:42,880
Speaker 3: Oh boy?

407
00:20:43,359 --> 00:20:45,439
Speaker 1: I mean when it gets to cash in a shoe

408
00:20:45,440 --> 00:20:49,199
Speaker 1: box and a white escalad pulling up outside, I feel

409
00:20:49,240 --> 00:20:49,680
Speaker 1: like there.

410
00:20:49,600 --> 00:20:50,520
Speaker 3: Should be some sea.

411
00:20:50,920 --> 00:20:54,159
Speaker 2: I watched too many scammer YouTube channels to fall for

412
00:20:54,480 --> 00:20:56,960
Speaker 2: shit because but I don't watch any and I still

413
00:20:56,960 --> 00:20:59,719
Speaker 2: feel like, yeah, yeah, you know, there's like there's a

414
00:20:59,720 --> 00:21:02,160
Speaker 2: whole dude, there's a whole subgenre of YouTube videos where

415
00:21:02,160 --> 00:21:05,720
Speaker 2: people are just fucking with scammers back with like voice

416
00:21:05,800 --> 00:21:08,080
Speaker 2: changers and stuff, and it's great. Shoden Freud is some

417
00:21:08,160 --> 00:21:11,280
Speaker 2: people are like terribly xenophobic, and it shows with the

418
00:21:11,320 --> 00:21:13,840
Speaker 2: way they talk about the people they're like speaking with. Ye,

419
00:21:14,000 --> 00:21:17,160
Speaker 2: but yeah, they people people love to work this kind

420
00:21:17,200 --> 00:21:18,960
Speaker 2: of thing. Hi, I'm calling with this company you have

421
00:21:18,960 --> 00:21:20,520
Speaker 2: an account with. I need to get you to our

422
00:21:20,520 --> 00:21:23,040
Speaker 2: security team so then they can get some information from.

423
00:21:22,920 --> 00:21:25,760
Speaker 3: You, right and boom boom boom. Yeah.

424
00:21:25,800 --> 00:21:29,080
Speaker 1: Anyways, over eight, I'm no longer taking financial advice from

425
00:21:29,080 --> 00:21:32,360
Speaker 1: The Cut exclusively. I'm going to also start taking financial

426
00:21:32,359 --> 00:21:33,440
Speaker 1: advice from BuzzFeed.

427
00:21:33,880 --> 00:21:37,000
Speaker 2: Yeah, and also I'm and Jim Kramer from Mad Money,

428
00:21:37,200 --> 00:21:43,119
Speaker 2: so well, never turned your back on the Kramer Mine

429
00:21:43,280 --> 00:21:48,080
Speaker 2: Overrated is just the Senate is turning into D one

430
00:21:48,240 --> 00:21:49,400
Speaker 2: football bullshit.

431
00:21:49,560 --> 00:21:51,520
Speaker 3: It's fucking hilarious.

432
00:21:51,560 --> 00:21:53,320
Speaker 2: So, like, I was just reading this story about how

433
00:21:54,119 --> 00:21:58,639
Speaker 2: the only shot the Democrats have at flipping Senator Tommy

434
00:21:58,680 --> 00:22:03,880
Speaker 2: Tuberville's Senate c in Alabama is to have Nick Saban

435
00:22:04,119 --> 00:22:09,080
Speaker 2: run against him, and they're like against a generic Democrat,

436
00:22:09,160 --> 00:22:12,960
Speaker 2: Tuberville's winning against you know, Doug Jones. Tuberville's winning against

437
00:22:13,000 --> 00:22:15,639
Speaker 2: all these other people they think, like, who are serious politicians?

438
00:22:15,640 --> 00:22:16,440
Speaker 3: Like Tuberville's winning.

439
00:22:16,440 --> 00:22:19,280
Speaker 2: He's like the one person who actually has an edge

440
00:22:19,320 --> 00:22:24,200
Speaker 2: on Tuberville is Nick Saban from that University of Alabama,

441
00:22:24,720 --> 00:22:27,680
Speaker 2: and I get it, like he's the god MC down there,

442
00:22:27,880 --> 00:22:31,639
Speaker 2: but like it's just it. It blows my mind of

443
00:22:31,800 --> 00:22:36,200
Speaker 2: the the logic that like the consultant class and party

444
00:22:36,240 --> 00:22:40,600
Speaker 2: operatives are using to just be like, man, it's this

445
00:22:40,720 --> 00:22:43,960
Speaker 2: is like fucking popularity Pokemon. We got to play where

446
00:22:44,000 --> 00:22:46,760
Speaker 2: it's like, well, if the only character to beat this

447
00:22:46,880 --> 00:22:51,679
Speaker 2: character is Nick Saban's, like what what about policy? Like

448
00:22:51,720 --> 00:22:54,639
Speaker 2: where does he stand on issues? Has he even said

449
00:22:54,680 --> 00:22:58,440
Speaker 2: he's interested? Because he hasn't, But yeah, it is it's

450
00:22:58,480 --> 00:23:01,679
Speaker 2: wild to see just sort of like see us serious people,

451
00:23:01,720 --> 00:23:04,399
Speaker 2: being like, that's what we gotta do, not maybe have

452
00:23:04,480 --> 00:23:07,479
Speaker 2: a platform that would be so appealing to voters that

453
00:23:07,560 --> 00:23:10,439
Speaker 2: you could put anyone who just seems like an upstanding person.

454
00:23:10,480 --> 00:23:12,920
Speaker 2: And I get states are different from place to place,

455
00:23:12,960 --> 00:23:16,080
Speaker 2: but like it's all a way to just not really

456
00:23:16,240 --> 00:23:19,760
Speaker 2: change much of what a party is offering or whatever

457
00:23:19,800 --> 00:23:21,160
Speaker 2: and be like, dude, you know how we can get

458
00:23:21,160 --> 00:23:23,240
Speaker 2: away with doing the same shit. We get Nick Saban

459
00:23:23,320 --> 00:23:27,360
Speaker 2: to run against Tommy Tuberville And that's just just disheartening

460
00:23:27,400 --> 00:23:28,320
Speaker 2: that way of thinking.

461
00:23:28,960 --> 00:23:30,600
Speaker 3: But I don't know, this is I guess this is

462
00:23:30,600 --> 00:23:33,359
Speaker 3: where we're headed. Hopefully roll tide.

463
00:23:33,760 --> 00:23:36,639
Speaker 2: Yeah, hopefully New York from Flavor of Love will be

464
00:23:36,720 --> 00:23:38,040
Speaker 2: running for office too.

465
00:23:39,240 --> 00:23:40,800
Speaker 3: Someone that we can actually trust.

466
00:23:40,880 --> 00:23:45,240
Speaker 2: Tiffany Pollard, come on, madam senator. All right, let's take

467
00:23:45,240 --> 00:23:58,880
Speaker 2: a quick break and we'll be right back. And we're back.

468
00:23:59,240 --> 00:23:59,720
Speaker 3: We're back.

469
00:23:59,760 --> 00:24:04,720
Speaker 1: And So a handful of AI stories. One that was

470
00:24:04,760 --> 00:24:07,440
Speaker 1: like kind of good news in the world of AI.

471
00:24:08,280 --> 00:24:12,159
Speaker 1: So an Air Canada customer service chatbot was just just

472
00:24:12,200 --> 00:24:16,600
Speaker 1: like made up a policy that the company wasn't aware

473
00:24:16,640 --> 00:24:19,960
Speaker 1: of and told somebody like that they could get their

474
00:24:20,080 --> 00:24:26,159
Speaker 1: money back on something and a judge has ruled that Yeah,

475
00:24:26,320 --> 00:24:28,560
Speaker 1: that's no, that's that's on you, guys. You have to

476
00:24:28,640 --> 00:24:32,440
Speaker 1: honor the refund policy invented by your chatbot.

477
00:24:33,560 --> 00:24:36,080
Speaker 3: So that do you know, do you.

478
00:24:36,119 --> 00:24:38,239
Speaker 2: Know what the policy was or just it was some

479
00:24:38,320 --> 00:24:40,159
Speaker 2: kind of just refund thing where it's like, yeah, you

480
00:24:40,160 --> 00:24:41,200
Speaker 2: get you have a.

481
00:24:41,160 --> 00:24:44,359
Speaker 1: Partial refund to a grieving passenger who is misled by

482
00:24:44,400 --> 00:24:49,760
Speaker 1: an airline chatbot inaccurately explaining the airlines bereavement travel policy.

483
00:24:50,720 --> 00:24:51,840
Speaker 3: Oh my gosh.

484
00:24:52,000 --> 00:24:54,560
Speaker 2: Yeah, I like how Air Canada is, Like, dude, it's

485
00:24:54,600 --> 00:24:57,560
Speaker 2: not even like a person that like we even know, right,

486
00:24:58,080 --> 00:25:00,879
Speaker 2: you can't like they say, quote that chatbot is a

487
00:25:01,040 --> 00:25:05,720
Speaker 2: separate legal entity that is responsible for its own actions.

488
00:25:06,119 --> 00:25:06,320
Speaker 3: Wow.

489
00:25:08,240 --> 00:25:09,679
Speaker 1: Yeah, I don't know if they're trying to get to

490
00:25:09,720 --> 00:25:12,600
Speaker 1: that company that programmed the chatbot to like pay for it,

491
00:25:12,720 --> 00:25:15,320
Speaker 1: but or if they were, like, I don't know, that's

492
00:25:15,359 --> 00:25:15,760
Speaker 1: on him.

493
00:25:15,760 --> 00:25:17,400
Speaker 3: You got to talk to him, the chatbot.

494
00:25:17,520 --> 00:25:21,040
Speaker 2: Yeah, that's a whole other legal entity and that's that's

495
00:25:21,080 --> 00:25:24,240
Speaker 2: their own actions. You know that that that fucking thing,

496
00:25:24,520 --> 00:25:28,439
Speaker 2: this AI shit that we implemented went fucking rogue.

497
00:25:28,520 --> 00:25:30,399
Speaker 3: Holy shit. I love that.

498
00:25:31,080 --> 00:25:35,080
Speaker 1: And then uh in kind of weirder AI news. The

499
00:25:35,119 --> 00:25:38,280
Speaker 1: New York Post got super horny for this AI Jack

500
00:25:38,320 --> 00:25:42,520
Speaker 1: the Ripper image that was, I don't know, it's just

501
00:25:42,560 --> 00:25:46,080
Speaker 1: a real sign of where we are at this moment

502
00:25:46,119 --> 00:25:49,760
Speaker 1: with AI, where people are just like so the New

503
00:25:49,840 --> 00:25:52,840
Speaker 1: York Post covered it as Jack the Ripper's face is

504
00:25:52,920 --> 00:25:56,639
Speaker 1: finally revealed thanks to the magic of AI.

505
00:25:57,760 --> 00:25:59,520
Speaker 3: And the so the.

506
00:25:59,520 --> 00:26:06,440
Speaker 1: Image shows like a highly stylized Christian bale, Like it's

507
00:26:06,520 --> 00:26:12,159
Speaker 1: just Christian ye, a little bit of like Josh Hartnett, Yes,

508
00:26:12,960 --> 00:26:16,560
Speaker 1: but like bail with like maybe a few prosthetics but

509
00:26:16,800 --> 00:26:19,560
Speaker 1: like the yeah, and and then the other one. The

510
00:26:19,560 --> 00:26:22,200
Speaker 1: profile for some reason looks like Adam Driver a little bit.

511
00:26:23,280 --> 00:26:26,880
Speaker 1: But yeah, they just like used mid journey to make

512
00:26:26,960 --> 00:26:27,840
Speaker 1: a hot guy.

513
00:26:28,480 --> 00:26:29,280
Speaker 3: And uh.

514
00:26:29,800 --> 00:26:34,800
Speaker 1: They claimed that it was based on like the digital

515
00:26:35,040 --> 00:26:42,280
Speaker 1: or the genetic like DNA of a suspects relatives, right

516
00:26:42,359 --> 00:26:47,359
Speaker 1: they so they took Cosminsky, the butcher's sister, uncle and

517
00:26:47,440 --> 00:26:50,920
Speaker 1: brother in law and like fed it into a system.

518
00:26:51,000 --> 00:26:54,040
Speaker 1: This is junk science that the police have been trying

519
00:26:54,040 --> 00:26:58,760
Speaker 1: to use, Like the DNA used to generate a facial profile,

520
00:26:59,200 --> 00:27:02,840
Speaker 1: an image of what the killer may look like. And

521
00:27:03,200 --> 00:27:07,360
Speaker 1: it's like this generic image. But this time they they

522
00:27:07,359 --> 00:27:10,760
Speaker 1: definitely had their scales tipped towards hot, like on the

523
00:27:10,800 --> 00:27:17,760
Speaker 1: hot hell, because this guy's fucking cheekbones are off the charts. Yeah,

524
00:27:17,840 --> 00:27:22,960
Speaker 1: he's got a chiseled fucking also, question your honor. You

525
00:27:23,080 --> 00:27:27,040
Speaker 1: fed images of his relatives, including his brother in law.

526
00:27:29,040 --> 00:27:32,560
Speaker 1: Don't worry about who what does that have to do

527
00:27:32,600 --> 00:27:35,159
Speaker 1: with any funny. It's just some motherfucker that married in

528
00:27:35,280 --> 00:27:35,920
Speaker 1: your family.

529
00:27:36,160 --> 00:27:36,360
Speaker 3: Yeah.

530
00:27:38,440 --> 00:27:40,680
Speaker 2: Maybe they needed that because that was the hot guy

531
00:27:40,800 --> 00:27:41,680
Speaker 2: from the pictures.

532
00:27:41,920 --> 00:27:44,919
Speaker 3: Yeah, they're like just fucking yeah, Oh what's what's the

533
00:27:44,960 --> 00:27:45,639
Speaker 3: sister look like?

534
00:27:45,680 --> 00:27:45,920
Speaker 2: Ah?

535
00:27:46,000 --> 00:27:50,000
Speaker 3: Man, and not that great the uncle? Oh boy, who's

536
00:27:50,040 --> 00:27:51,879
Speaker 3: that guy? That's the brother in law? All right, all right,

537
00:27:51,920 --> 00:27:55,200
Speaker 3: add that add that to the fucking to the prompt.

538
00:27:55,520 --> 00:27:57,919
Speaker 3: But the way they wrote about it was wild. They

539
00:27:57,960 --> 00:28:01,359
Speaker 3: were like, move over, Ted Bundy, there's a new old

540
00:28:01,640 --> 00:28:03,439
Speaker 3: cereal hottie in town.

541
00:28:03,920 --> 00:28:06,159
Speaker 2: Like that's not a joke, Like that's actually how they

542
00:28:06,240 --> 00:28:08,560
Speaker 2: wrote about Yeah, that's not hyperbolic.

543
00:28:08,640 --> 00:28:11,440
Speaker 3: That is verbatim. What is written in this thing.

544
00:28:12,119 --> 00:28:16,080
Speaker 1: The dangerously dreamy drawings of the dashing gentleman with a

545
00:28:16,200 --> 00:28:19,040
Speaker 1: darkly alluring, wild eyed energy.

546
00:28:19,720 --> 00:28:24,960
Speaker 2: Like uh huh, what are we doing I get it,

547
00:28:25,040 --> 00:28:29,640
Speaker 2: Like sometimes you just are horny, but that's like we're

548
00:28:29,720 --> 00:28:33,240
Speaker 2: so horny to get murdered by hot people. Like that's

549
00:28:33,280 --> 00:28:35,639
Speaker 2: what's weird, you know what I mean. It's like I

550
00:28:35,640 --> 00:28:38,200
Speaker 2: don't need to extend anything or like oh well, I

551
00:28:38,200 --> 00:28:39,680
Speaker 2: mean they were cute, you know what I mean. Like

552
00:28:39,720 --> 00:28:41,840
Speaker 2: it's like when you first see like young hot Stalin,

553
00:28:42,200 --> 00:28:46,000
Speaker 2: You're like, oh, okay, young hot Stalin. I see like wait, wait,

554
00:28:46,000 --> 00:28:48,200
Speaker 2: wait man man, like you you fucking a lot of

555
00:28:48,200 --> 00:28:49,280
Speaker 2: people fucking just.

556
00:28:49,560 --> 00:28:51,880
Speaker 3: Hear me, daddy, yeah exactly.

557
00:28:51,960 --> 00:28:55,280
Speaker 2: And now we're like, oh yeah, like nearly decapitate me,

558
00:28:55,360 --> 00:28:58,480
Speaker 2: honey with if you're coming with wild hair like that,

559
00:28:58,760 --> 00:29:01,480
Speaker 2: oh wee put it in the air.

560
00:29:01,920 --> 00:29:05,520
Speaker 1: And then the other big a thing from the weekend

561
00:29:05,600 --> 00:29:11,040
Speaker 1: was those videos from the Open a Eyes Like so,

562
00:29:11,480 --> 00:29:16,200
Speaker 1: I forget the name that they gave the program, but Sora, yeah,

563
00:29:16,240 --> 00:29:19,160
Speaker 1: they seem like a bad dream kind of like all

564
00:29:19,200 --> 00:29:23,200
Speaker 1: all the videos, the ones of the animals, like I

565
00:29:23,240 --> 00:29:26,480
Speaker 1: don't I don't really understand how they're doing it. So

566
00:29:26,560 --> 00:29:30,760
Speaker 1: it's like kind of an impressive magic trick. But it's

567
00:29:30,840 --> 00:29:35,360
Speaker 1: also like the eyes of the people are so like

568
00:29:36,320 --> 00:29:37,040
Speaker 1: did you did you.

569
00:29:36,960 --> 00:29:38,440
Speaker 3: Look at any of these videos.

570
00:29:38,640 --> 00:29:40,800
Speaker 2: Yeah, I did it because I saw a few comparisons

571
00:29:40,800 --> 00:29:44,920
Speaker 2: where people were talking about how they were also very

572
00:29:44,960 --> 00:29:49,560
Speaker 2: similar to like stock photo like stock video website that

573
00:29:49,640 --> 00:29:50,800
Speaker 2: it's going from.

574
00:29:50,920 --> 00:29:53,200
Speaker 3: So like it people are like, yeah.

575
00:29:52,760 --> 00:29:55,560
Speaker 2: It's kind of impressive, but it's clearly like also just

576
00:29:55,640 --> 00:29:58,880
Speaker 2: like mashing together ship from this like stock video thing.

577
00:29:59,320 --> 00:30:01,600
Speaker 2: But I mean it's a lot better than remember like

578
00:30:01,640 --> 00:30:04,560
Speaker 2: the early ones when it was like Will Smith eating spaghetti.

579
00:30:05,000 --> 00:30:07,280
Speaker 3: Right, and I just thought it was like that one,

580
00:30:07,320 --> 00:30:08,840
Speaker 3: but oh dude, that shit was.

581
00:30:08,920 --> 00:30:11,000
Speaker 2: And it's funny too because Will Smith kind of he

582
00:30:11,080 --> 00:30:13,840
Speaker 2: trolled them over the weekend and he actually just recorded

583
00:30:13,840 --> 00:30:16,240
Speaker 2: a video of him eating spaghetti all in the wild

584
00:30:16,800 --> 00:30:18,360
Speaker 2: and just to be like damn, look how far the

585
00:30:18,400 --> 00:30:21,040
Speaker 2: AI came. It's like not motherfucker, Will Smith is just

586
00:30:21,120 --> 00:30:22,000
Speaker 2: leaning into that shit.

587
00:30:22,640 --> 00:30:26,720
Speaker 1: Yeah, Like there's no one weirdest part of these videos,

588
00:30:26,760 --> 00:30:30,640
Speaker 1: Like they're just like there's one video where a couple

589
00:30:30,920 --> 00:30:35,120
Speaker 1: is like just lounging on the beach, oh and a

590
00:30:35,160 --> 00:30:39,120
Speaker 1: great white shark like in the shallows, like kind of splashing,

591
00:30:39,400 --> 00:30:41,960
Speaker 1: but it like almost looks like a kid is just

592
00:30:42,000 --> 00:30:44,400
Speaker 1: like playing in the waves, like that's how the shark's

593
00:30:44,480 --> 00:30:47,440
Speaker 1: energy is just there with his mouth open, just like

594
00:30:47,520 --> 00:30:50,360
Speaker 1: kind of playing in the waves and like right in

595
00:30:50,360 --> 00:30:53,880
Speaker 1: front of his parents. But then like the wife or

596
00:30:53,920 --> 00:30:56,600
Speaker 1: the woman looks back at the camera and she just

597
00:30:56,640 --> 00:30:59,840
Speaker 1: has her her mouth like wide open and her eyes

598
00:31:00,120 --> 00:31:04,120
Speaker 1: like I don't know, there's just this like weird horror

599
00:31:04,120 --> 00:31:09,960
Speaker 1: movie nightmarish energy, like a dementor has sucked the soul

600
00:31:10,000 --> 00:31:10,800
Speaker 1: out of her face.

601
00:31:11,240 --> 00:31:11,480
Speaker 3: Yeah.

602
00:31:11,520 --> 00:31:13,800
Speaker 2: Like, but it's also the physics of like the what

603
00:31:13,840 --> 00:31:16,280
Speaker 2: we're not physics, but like the body mechanics of it too.

604
00:31:16,400 --> 00:31:19,680
Speaker 2: That woman's head nearly twists fully around on that like

605
00:31:19,720 --> 00:31:22,640
Speaker 2: one and eighty degrees, Like there's no shoulder movement, it's

606
00:31:22,680 --> 00:31:25,360
Speaker 2: just like the head fucking rotates back towards the camera

607
00:31:25,440 --> 00:31:30,360
Speaker 2: Like yeah, yeah, it's uh, not too impressed by that.

608
00:31:30,480 --> 00:31:31,840
Speaker 2: Mid Journey looks a lot.

609
00:31:31,720 --> 00:31:32,080
Speaker 3: Better, though.

610
00:31:32,120 --> 00:31:36,040
Speaker 2: I gotta say those images are yeah, fucking wild. Like

611
00:31:36,080 --> 00:31:38,880
Speaker 2: when people know how to properly prompt it, it does.

612
00:31:38,760 --> 00:31:43,480
Speaker 1: Now get Like the NYPD dance video that I think

613
00:31:43,480 --> 00:31:46,280
Speaker 1: we're gonna be talking about in tomorrow's episode, Yeah, like that.

614
00:31:46,600 --> 00:31:48,920
Speaker 3: When I saw that, I was like, is it? Are

615
00:31:48,920 --> 00:31:50,800
Speaker 3: we sure that genera AI?

616
00:31:50,920 --> 00:31:54,280
Speaker 1: Like, yeah, this feels like everything seems kind of like

617
00:31:54,320 --> 00:31:57,280
Speaker 1: a bad dream about that video, you know.

618
00:31:57,800 --> 00:32:02,040
Speaker 2: So, yeah, did Tucker Carlson actually interviewed? Is that AI? Oh?

619
00:32:02,160 --> 00:32:04,360
Speaker 3: Okay, yeah, stranger than fiction.

620
00:32:05,040 --> 00:32:08,200
Speaker 1: It's it's getting weird, Like I feel like that's the

621
00:32:08,280 --> 00:32:10,120
Speaker 1: thing that's unnerving is.

622
00:32:10,040 --> 00:32:12,840
Speaker 3: That the capabilities of the AI.

623
00:32:13,000 --> 00:32:16,240
Speaker 1: Are going up and also getting weird as our reality

624
00:32:16,440 --> 00:32:20,320
Speaker 1: is also like entering the Uncanny Valley somehow, Yeah, a

625
00:32:20,320 --> 00:32:21,760
Speaker 1: little bit more untruly.

626
00:32:22,040 --> 00:32:24,800
Speaker 2: Yeah, And it's like just our just like our values

627
00:32:24,800 --> 00:32:27,640
Speaker 2: are so all over the place too, Like we're obsessed

628
00:32:27,880 --> 00:32:31,920
Speaker 2: with hot murderers. You know, there's just like there's just

629
00:32:31,960 --> 00:32:34,400
Speaker 2: all these weird sort of I don't know, the way

630
00:32:34,400 --> 00:32:37,240
Speaker 2: our brains are shifting is really feeding into it to

631
00:32:37,320 --> 00:32:39,320
Speaker 2: in a weird way. And also like people just like

632
00:32:39,400 --> 00:32:42,040
Speaker 2: our world seems so fucked up. It's like, of course

633
00:32:42,080 --> 00:32:46,120
Speaker 2: these images of like beautiful locations are going to be

634
00:32:46,240 --> 00:32:48,680
Speaker 2: so appealing to us because it's like, yeah, man.

635
00:32:48,560 --> 00:32:50,720
Speaker 3: That looks like a that looks like a great place

636
00:32:50,760 --> 00:32:53,800
Speaker 3: to be rather than where I'm at. So yeah, it's

637
00:32:53,840 --> 00:32:55,080
Speaker 3: funny thing but where I'm at.

638
00:32:55,280 --> 00:32:57,880
Speaker 1: Yeah, anything, but all right, let's take a quick break

639
00:32:57,960 --> 00:32:59,400
Speaker 1: and we'll be right back.

640
00:33:09,400 --> 00:33:10,840
Speaker 3: And we're back. We're back.

641
00:33:11,160 --> 00:33:14,440
Speaker 1: Jordan, One's got a little less cool this weekend. I

642
00:33:14,440 --> 00:33:17,000
Speaker 1: feel like, how I'm greeting this even though.

643
00:33:16,920 --> 00:33:21,560
Speaker 2: I got an iconic basketball shoes, Can you even play basketball?

644
00:33:24,200 --> 00:33:24,640
Speaker 3: I don't know.

645
00:33:24,840 --> 00:33:28,440
Speaker 1: I like of all the things, like they they look

646
00:33:28,520 --> 00:33:32,920
Speaker 1: like shit, they're you know, made by Trump. They're not

647
00:33:33,000 --> 00:33:36,400
Speaker 1: even that comfortable, you know. I yeah, because you got

648
00:33:36,400 --> 00:33:38,080
Speaker 1: your pair ride, I got my pair man.

649
00:33:38,880 --> 00:33:42,160
Speaker 2: Yeah, you put that mixtape you put off when you

650
00:33:42,200 --> 00:33:45,080
Speaker 2: said you were like you were doing Zion Williamson type shit,

651
00:33:45,120 --> 00:33:47,160
Speaker 2: I didn't realize you meant that your foot was just

652
00:33:47,200 --> 00:33:49,120
Speaker 2: gonna blow out of the terribly made sneaker.

653
00:33:49,120 --> 00:33:50,520
Speaker 3: I thought you're gonna dunk or some shit.

654
00:33:51,000 --> 00:33:53,680
Speaker 1: God, could you imagine trying Like if an NBA player

655
00:33:53,720 --> 00:33:57,640
Speaker 1: were these, that would actually be a great but their

656
00:33:57,680 --> 00:33:58,280
Speaker 1: whole career.

657
00:33:58,360 --> 00:34:00,920
Speaker 2: I think if you, I think just harmicley. You just

658
00:34:00,960 --> 00:34:02,440
Speaker 2: don't put those things on the court.

659
00:34:02,640 --> 00:34:05,600
Speaker 1: But yeah, So it does feel like a year since

660
00:34:05,760 --> 00:34:08,760
Speaker 1: last Friday, when Trump first announced that he'd be attending

661
00:34:08,840 --> 00:34:14,720
Speaker 1: sneaker Con in Philadelphia, putting the con in uh, putting

662
00:34:14,719 --> 00:34:19,440
Speaker 1: all the emphasis on con. For this sneaker con, there was,

663
00:34:19,560 --> 00:34:23,160
Speaker 1: of course, a major backlash, forcing sneaker Con to turn

664
00:34:23,239 --> 00:34:26,840
Speaker 1: off their comments on social media and release a bullshit

665
00:34:26,880 --> 00:34:30,040
Speaker 1: statement being like we just really like want to do

666
00:34:30,160 --> 00:34:34,200
Speaker 1: whatever makes people aware of sneakers, and so that's why

667
00:34:34,239 --> 00:34:37,000
Speaker 1: we accepted this grip.

668
00:34:37,080 --> 00:34:39,200
Speaker 3: Oh, it's to bring awareness to the issue.

669
00:34:39,400 --> 00:34:43,200
Speaker 1: We're just driving awareness for sneakers, Like don't you understand,

670
00:34:43,200 --> 00:34:44,840
Speaker 1: like people out there don't even like know.

671
00:34:46,080 --> 00:34:49,880
Speaker 2: Yeah, the billions of dollars are moving around, but nobody knows,

672
00:34:49,880 --> 00:34:52,080
Speaker 2: and we just need someone to act as a conduit

673
00:34:52,120 --> 00:34:58,879
Speaker 2: to really spread the news. These shoes are fucking offensive.

674
00:34:59,400 --> 00:35:05,440
Speaker 2: They're a oak on the viewer, the purchaser whoever. And

675
00:35:05,480 --> 00:35:10,040
Speaker 2: that dude, that whole fucking presentation was so fucking weird.

676
00:35:10,360 --> 00:35:11,080
Speaker 3: Have you seen the.

677
00:35:11,000 --> 00:35:14,919
Speaker 2: Full presentation with a person came up on stage. Huh Well,

678
00:35:15,040 --> 00:35:17,320
Speaker 2: here's a clip of him pulling up to the lectern

679
00:35:17,560 --> 00:35:19,919
Speaker 2: with his jank Force ones in hand.

680
00:35:21,040 --> 00:35:23,480
Speaker 4: Hello everybody, so thank you very much.

681
00:35:23,480 --> 00:35:25,360
Speaker 3: And we have a few young ladies that are up

682
00:35:25,360 --> 00:35:26,000
Speaker 3: here crying.

683
00:35:26,560 --> 00:35:28,640
Speaker 4: Look at you with the Trump twenty twenty four.

684
00:35:29,080 --> 00:35:32,319
Speaker 3: Thank you darling, I love you too. Wow. A lot

685
00:35:32,320 --> 00:35:36,840
Speaker 3: of emotion. There's a lot of emotion and there's thank.

686
00:35:36,600 --> 00:35:42,440
Speaker 4: You, thank you so so the really nice thing is

687
00:35:42,520 --> 00:35:44,719
Speaker 4: we have lines and I want to thank Chase, and

688
00:35:44,760 --> 00:35:45,160
Speaker 4: I want.

689
00:35:45,040 --> 00:35:48,720
Speaker 3: To thank all fu fuckings going all around the block.

690
00:35:49,280 --> 00:35:50,800
Speaker 3: They're going all around this blood.

691
00:35:50,840 --> 00:35:54,439
Speaker 4: They've never seen anything like this one. I just want

692
00:35:54,520 --> 00:35:56,200
Speaker 4: to tell you, you know, I've wanted to do this

693
00:35:56,239 --> 00:35:58,560
Speaker 4: for a long time. I have some incredible people that

694
00:35:58,640 --> 00:36:01,600
Speaker 4: work with me on things. They came up with us,

695
00:36:01,719 --> 00:36:04,720
Speaker 4: and this is something I've been talking about for twelve years,

696
00:36:04,760 --> 00:36:05,600
Speaker 4: thirteen years.

697
00:36:06,800 --> 00:36:07,880
Speaker 3: I think it's gonna.

698
00:36:07,680 --> 00:36:11,480
Speaker 4: Be Your influencers have been very positive.

699
00:36:11,920 --> 00:36:15,040
Speaker 3: They've been real influences. And are people giving him the

700
00:36:15,080 --> 00:36:18,720
Speaker 3: finger down front up? Yeah, that's the real deal.

701
00:36:19,960 --> 00:36:22,800
Speaker 2: Yeah, I've been thinking about this for twelve or thirteen years.

702
00:36:22,880 --> 00:36:26,240
Speaker 2: Shut uh, motherfucker. You can't you remember twelve or thirteen

703
00:36:26,320 --> 00:36:26,919
Speaker 2: minutes ago.

704
00:36:27,360 --> 00:36:32,319
Speaker 1: Actually the Air Jordan ones were actually influenced by me.

705
00:36:32,600 --> 00:36:35,000
Speaker 1: I told him, you know, a high top with this

706
00:36:35,120 --> 00:36:36,120
Speaker 1: thirteen years ago.

707
00:36:36,840 --> 00:36:38,759
Speaker 2: I remember there was a re release of the Air

708
00:36:38,840 --> 00:36:42,719
Speaker 2: Jordan Concord eleven and I said, we need to get

709
00:36:42,760 --> 00:36:45,680
Speaker 2: in on that. So then I decided to just put

710
00:36:45,760 --> 00:36:49,320
Speaker 2: lead gold paint on my existing shoes and put stars

711
00:36:49,320 --> 00:36:50,080
Speaker 2: and stripes on it.

712
00:36:50,360 --> 00:36:50,600
Speaker 3: Dude.

713
00:36:50,600 --> 00:36:52,719
Speaker 2: So at the end of this, this person comes up

714
00:36:52,719 --> 00:36:54,480
Speaker 2: to the lecture and this woman comes up wearing like

715
00:36:54,520 --> 00:36:57,480
Speaker 2: a Trump houddie, acting pretending that this is like some

716
00:36:57,920 --> 00:37:02,200
Speaker 2: enthusiastic fan, and then Trump's just letting them like rant

717
00:37:02,200 --> 00:37:03,399
Speaker 2: at the electern like we.

718
00:37:03,400 --> 00:37:05,240
Speaker 3: Neither reelect Donald Trump.

719
00:37:05,360 --> 00:37:09,399
Speaker 2: He's a very good man, and people are like, holy shit, wow,

720
00:37:09,520 --> 00:37:10,200
Speaker 2: this person is a fan.

721
00:37:10,280 --> 00:37:11,319
Speaker 3: I'm like, are you for real?

722
00:37:11,440 --> 00:37:15,640
Speaker 2: You think this secret service just lets random herbs pull

723
00:37:15,680 --> 00:37:18,640
Speaker 2: it right to the lectern as a fucking former.

724
00:37:18,719 --> 00:37:20,800
Speaker 3: But no, that's a fucking plant.

725
00:37:21,160 --> 00:37:23,719
Speaker 2: So the whole thing was like, the whole thing was

726
00:37:23,760 --> 00:37:26,600
Speaker 2: fucking all over the place, and the ship, I mean,

727
00:37:26,680 --> 00:37:28,920
Speaker 2: I think a lot of I think few resellers bought

728
00:37:28,960 --> 00:37:31,080
Speaker 2: them because people were saying parents are on eBay going

729
00:37:31,120 --> 00:37:33,520
Speaker 2: for like triple quadruple the price, maybe even more.

730
00:37:33,600 --> 00:37:37,080
Speaker 3: No, yeah, oh that doesn't mean an audience for it,

731
00:37:37,520 --> 00:37:37,719
Speaker 3: you know.

732
00:37:37,760 --> 00:37:39,799
Speaker 2: Oh yeah, but that that's funny, is that reseller money

733
00:37:40,080 --> 00:37:42,919
Speaker 2: that doesn't go to Trump unless unless Trump is really

734
00:37:43,000 --> 00:37:46,759
Speaker 2: think of four D and he's like, all the way

735
00:37:46,960 --> 00:37:50,359
Speaker 2: them up and then resell them yourself. So you could

736
00:37:50,400 --> 00:37:52,959
Speaker 2: have like a ten X markup on the shoe. That's

737
00:37:53,120 --> 00:37:55,520
Speaker 2: look that that's where the real that's where the dolls

738
00:37:55,560 --> 00:37:58,200
Speaker 2: at Trump. But yeah, the resell market is it's not

739
00:37:58,480 --> 00:37:59,480
Speaker 2: is not doing great recently.

740
00:37:59,560 --> 00:38:02,600
Speaker 1: It's just so wild that he's still so desperately wants

741
00:38:02,680 --> 00:38:06,120
Speaker 1: to be cool, you know, like I thought he kind

742
00:38:06,160 --> 00:38:09,080
Speaker 1: of knew what the game was at this point, Like

743
00:38:09,160 --> 00:38:13,799
Speaker 1: he's only talking to like carefully curated audiences of his supporters,

744
00:38:14,080 --> 00:38:18,800
Speaker 1: and you know he does, you know, he stays locked

745
00:38:18,840 --> 00:38:21,840
Speaker 1: away with like yes men. So for him to like

746
00:38:21,920 --> 00:38:26,320
Speaker 1: try and drop drop a sneaker like and like go

747
00:38:26,520 --> 00:38:28,640
Speaker 1: out at a sneaker con thing and think that the

748
00:38:28,760 --> 00:38:32,479
Speaker 1: reception was gonna be anything except this is so wild.

749
00:38:32,560 --> 00:38:35,040
Speaker 1: I mean, it reminds me, you know, he always wants

750
00:38:35,080 --> 00:38:36,920
Speaker 1: the one thing he can't have, Like the approval of

751
00:38:37,000 --> 00:38:41,760
Speaker 1: The New York Times led to him granting Maggie Haberman

752
00:38:42,280 --> 00:38:48,120
Speaker 1: like all this access that was ultimately probably bad backfired.

753
00:38:48,560 --> 00:38:51,359
Speaker 2: But he just like wants to be like you know, yeah,

754
00:38:51,920 --> 00:38:54,000
Speaker 2: I wonder how much of his like Baron, you know,

755
00:38:54,320 --> 00:38:55,640
Speaker 2: like maybe not what am I saying?

756
00:38:55,680 --> 00:38:58,239
Speaker 3: This motherfucker don't give a shit about his kids, Like was.

757
00:38:58,239 --> 00:39:00,279
Speaker 2: Like Baron, I know you like those I have his

758
00:39:00,480 --> 00:39:07,120
Speaker 2: Scott Stuss, Scottson's j Jay Walker's I got check out

759
00:39:07,200 --> 00:39:09,000
Speaker 2: Daddy's lead pair of shoes.

760
00:39:09,360 --> 00:39:10,799
Speaker 3: I mean all this obviously too.

761
00:39:10,960 --> 00:39:15,200
Speaker 2: Is the timing right, Like he gets fucking hit with

762
00:39:15,360 --> 00:39:18,800
Speaker 2: what's gonna with interest around a four hundred million dollar

763
00:39:18,920 --> 00:39:20,279
Speaker 2: penalty from.

764
00:39:20,200 --> 00:39:26,959
Speaker 3: The signing rod pace the next day. The next fucking day, yo.

765
00:39:27,040 --> 00:39:29,800
Speaker 2: I I owe like four hundred million. It's not a

766
00:39:29,880 --> 00:39:32,640
Speaker 2: fucking game, yo. But here I got these sneakers, which

767
00:39:32,800 --> 00:39:36,040
Speaker 2: makes me think, like when did the con? When did

768
00:39:36,040 --> 00:39:38,359
Speaker 2: they When did he think this up? Was this something

769
00:39:38,400 --> 00:39:41,480
Speaker 2: that was in the world thirteen years just like, oh,

770
00:39:41,560 --> 00:39:42,560
Speaker 2: you're right, my bad.

771
00:39:42,560 --> 00:39:51,560
Speaker 1: My bad, Yeah, exactly the time it couldn't have been Yeah,

772
00:39:51,680 --> 00:39:55,040
Speaker 1: like even if I'm sure it had to have been planned,

773
00:39:55,120 --> 00:40:00,600
Speaker 1: like not the day before, Yeah, great on an announcing it,

774
00:40:00,960 --> 00:40:02,520
Speaker 1: like but he was like you got to get it

775
00:40:02,560 --> 00:40:03,359
Speaker 1: for sneak er con.

776
00:40:04,160 --> 00:40:06,839
Speaker 3: They love me there. It's going to be big, Yeah,

777
00:40:06,880 --> 00:40:11,239
Speaker 3: big news to heels that. I mean, we'll probably talk

778
00:40:11,239 --> 00:40:12,480
Speaker 3: about this on tomorrow's episode.

779
00:40:12,520 --> 00:40:15,719
Speaker 2: But like, this man knows a lot of money, and

780
00:40:16,800 --> 00:40:19,839
Speaker 2: there's really from what it looks like, he has very

781
00:40:19,920 --> 00:40:23,439
Speaker 2: limited avenues to appeal or even like get the sum

782
00:40:23,600 --> 00:40:26,719
Speaker 2: taken down because people are like, this isn't based on testimony,

783
00:40:26,960 --> 00:40:28,360
Speaker 2: like it's based on records.

784
00:40:28,760 --> 00:40:30,719
Speaker 3: You know what I mean, Like that's right. That's even

785
00:40:30,840 --> 00:40:31,600
Speaker 3: harder to appeal.

786
00:40:31,600 --> 00:40:33,600
Speaker 2: It's like this isn't because somebody said, so we're looking

787
00:40:33,640 --> 00:40:35,840
Speaker 2: at the fucking papers you filled out and just.

788
00:40:35,960 --> 00:40:38,400
Speaker 3: Being like, yeah, so this this this comes out to

789
00:40:38,520 --> 00:40:41,840
Speaker 3: about yeah, four fifty four hundred, yeah, yeah, yeah, take that.

790
00:40:42,400 --> 00:40:45,879
Speaker 1: A lot of this has the kind of unmistakable scent

791
00:40:46,080 --> 00:40:49,560
Speaker 1: of like a scam. Like there's it says on the

792
00:40:49,640 --> 00:40:53,080
Speaker 1: website like Trump sneakers are not design, manufactured, distributed, or

793
00:40:53,200 --> 00:40:56,120
Speaker 1: sold by Donald J. Trump, the Trump Organization, or any

794
00:40:56,200 --> 00:40:59,040
Speaker 1: of their respective affiliates or principles.

795
00:41:00,080 --> 00:41:03,759
Speaker 3: Which is weird because he's like, literally, is that right,

796
00:41:03,960 --> 00:41:07,560
Speaker 3: sneaker cons man? Is that an elector in person?

797
00:41:08,800 --> 00:41:09,000
Speaker 1: Yeah?

798
00:41:09,360 --> 00:41:12,080
Speaker 3: But then so the website where you buy the shoes

799
00:41:12,120 --> 00:41:15,439
Speaker 3: is run by a company called c C Ventures LLC,

800
00:41:17,000 --> 00:41:21,799
Speaker 3: which tru reported owning in his twenty twenty three financial disclosures,

801
00:41:22,280 --> 00:41:25,560
Speaker 3: and then CIC is getting a fee from forty five

802
00:41:25,719 --> 00:41:30,360
Speaker 3: Footwear LLC, a shoe company supposedly based out of a

803
00:41:30,520 --> 00:41:34,480
Speaker 3: rundown house in a grimy shopping mall in Sheridan, Wyoming,

804
00:41:35,120 --> 00:41:37,480
Speaker 3: which is a town that is like famous for catering

805
00:41:37,520 --> 00:41:41,279
Speaker 3: to sketchy shell companies like there's the town has like

806
00:41:41,440 --> 00:41:46,719
Speaker 3: registered agents that act as gatekeepers and provide US addresses

807
00:41:47,000 --> 00:41:50,680
Speaker 3: that like basically don't exist for shell companies. So what

808
00:41:51,360 --> 00:41:54,080
Speaker 3: is it illegal for? Like why do this shit? You

809
00:41:54,160 --> 00:41:56,480
Speaker 3: know what I mean? Like the NFTs it was, I

810
00:41:56,520 --> 00:41:57,520
Speaker 3: don't think it was ever like this.

811
00:41:57,760 --> 00:41:59,359
Speaker 2: There's got nothing to do with me, even though I'm

812
00:41:59,360 --> 00:42:02,680
Speaker 2: hawking it and I'm directing I benefit directly from it.

813
00:42:02,960 --> 00:42:04,880
Speaker 2: Is there, Like, is there a legal reason to have

814
00:42:04,960 --> 00:42:07,719
Speaker 2: to do all this fucking shell game shit? I mean,

815
00:42:08,080 --> 00:42:12,960
Speaker 2: the sophistication of his like legal understanding of like financial

816
00:42:13,080 --> 00:42:18,160
Speaker 2: laws and just all laws pretty limited, especially at this

817
00:42:18,320 --> 00:42:21,600
Speaker 2: point after he's alienated and like sued every lawyer who

818
00:42:21,640 --> 00:42:22,279
Speaker 2: worked for him.

819
00:42:22,600 --> 00:42:24,440
Speaker 1: So I feel like maybe he's just like putting that in,

820
00:42:24,719 --> 00:42:27,800
Speaker 1: like tossing that out there is a disclaimer, hoping that

821
00:42:28,320 --> 00:42:29,400
Speaker 1: it protects.

822
00:42:29,000 --> 00:42:31,960
Speaker 3: Him, even though I had no reason to suspect that

823
00:42:32,040 --> 00:42:32,359
Speaker 3: it does.

824
00:42:32,880 --> 00:42:36,799
Speaker 2: Yeah, Well, he's trying. He's doing his best. Man, he's

825
00:42:36,840 --> 00:42:39,800
Speaker 2: doing his best to get back on his feet because

826
00:42:40,320 --> 00:42:41,560
Speaker 2: he's going to be broke, folks.

827
00:42:42,360 --> 00:42:43,480
Speaker 3: H I can't wait.

828
00:42:43,600 --> 00:42:45,399
Speaker 2: I can't wait to see this new phase, to see

829
00:42:45,480 --> 00:42:47,919
Speaker 2: like what the financial pressure actually does to him because

830
00:42:48,160 --> 00:42:50,480
Speaker 2: he does have to put this money up in thirty days.

831
00:42:51,040 --> 00:42:55,680
Speaker 1: Yeah, and he's also running for president and yeah, I get.

832
00:42:55,760 --> 00:42:58,759
Speaker 1: I mean he must have enough money, like in from

833
00:42:58,800 --> 00:43:01,280
Speaker 1: all the just drifting humans.

834
00:43:01,640 --> 00:43:04,800
Speaker 2: The New York Times reporter, who's reporting was the basis

835
00:43:04,880 --> 00:43:07,319
Speaker 2: for this civil fraud trial, he said, when looking at

836
00:43:07,360 --> 00:43:10,120
Speaker 2: the things, he he suspected Trump only had about fifty

837
00:43:10,200 --> 00:43:13,319
Speaker 2: million dollars. Wow, and then everything's tied up in these

838
00:43:13,360 --> 00:43:15,360
Speaker 2: other businesses and then a lot of the businesses just

839
00:43:15,440 --> 00:43:19,279
Speaker 2: bleed money and are like debt pits. So I mean,

840
00:43:19,320 --> 00:43:20,759
Speaker 2: I don't know if it's one of these things that's

841
00:43:20,800 --> 00:43:24,000
Speaker 2: going to get solved because a you know, a mysterious

842
00:43:24,160 --> 00:43:27,360
Speaker 2: buyer from Saudi Arabia purchased one of these business for

843
00:43:27,480 --> 00:43:30,480
Speaker 2: like ten times what the cost was and it's magically

844
00:43:30,560 --> 00:43:31,239
Speaker 2: delicious now.

845
00:43:32,360 --> 00:43:34,440
Speaker 3: But I don't know, and like that wouldn't be.

846
00:43:34,800 --> 00:43:38,560
Speaker 1: Yeah, I'm sure like the way he's worked things in

847
00:43:38,680 --> 00:43:41,279
Speaker 1: the past has been like doing illegal shit and then

848
00:43:41,440 --> 00:43:43,080
Speaker 1: just like delaying, delaying, delaying the.

849
00:43:43,120 --> 00:43:45,920
Speaker 3: Consequences in court. So I'm sure, yeah, do some manner

850
00:43:45,960 --> 00:43:47,640
Speaker 3: of that, right, But yeah.

851
00:43:47,560 --> 00:43:49,360
Speaker 2: But I think the one thing for sure is that

852
00:43:49,560 --> 00:43:51,680
Speaker 2: money has to Like that money has to be handed

853
00:43:51,719 --> 00:43:53,440
Speaker 2: over in thirty days. They're like, there's no way around that,

854
00:43:53,600 --> 00:43:55,879
Speaker 2: even if you're appealing like that, and then it would

855
00:43:55,920 --> 00:43:57,960
Speaker 2: be held. But you have to come up with that,

856
00:43:59,520 --> 00:44:02,439
Speaker 2: and how you do that is anyone's guess. But there's

857
00:44:02,480 --> 00:44:05,000
Speaker 2: a few, you know, independent bodies now who are in

858
00:44:05,040 --> 00:44:07,400
Speaker 2: the Trump organization to make sure that they are complying.

859
00:44:07,520 --> 00:44:11,239
Speaker 2: So hey, more complexity to come.

860
00:44:12,440 --> 00:44:20,000
Speaker 1: Finally, the box office report Hollywood shockingly undervalued how much

861
00:44:20,080 --> 00:44:22,800
Speaker 1: people love Bob Marley For some reason? What is it

862
00:44:22,880 --> 00:44:27,480
Speaker 1: about Bob Marley that made them not totally you know,

863
00:44:27,680 --> 00:44:29,320
Speaker 1: appreciate how popular he was.

864
00:44:29,680 --> 00:44:33,680
Speaker 2: Is it all the posters fucking everywhere and merch that

865
00:44:33,800 --> 00:44:35,040
Speaker 2: people just wear passively?

866
00:44:35,080 --> 00:44:36,400
Speaker 3: What could it be? What is it about this?

867
00:44:36,760 --> 00:44:42,160
Speaker 1: Marlee Fellow, so one love The Bob Marley movie was

868
00:44:42,360 --> 00:44:45,279
Speaker 1: projected to make around thirty million dollars to thirty five

869
00:44:45,840 --> 00:44:48,279
Speaker 1: between Wednesday and Monday. It ended up making fifty two

870
00:44:48,360 --> 00:44:52,279
Speaker 1: million dollars just in the US, taking the number one

871
00:44:52,320 --> 00:44:57,880
Speaker 1: spot of the box office over Madam Webb, which.

872
00:44:59,280 --> 00:45:03,680
Speaker 3: Like that one really, so that's a comic book movie.

873
00:45:05,160 --> 00:45:09,360
Speaker 1: Has a certain baseline, or has had a certain baseline

874
00:45:09,400 --> 00:45:13,680
Speaker 1: up to this point. That movie Morbius, which was similarly

875
00:45:14,440 --> 00:45:18,200
Speaker 1: a Spider Man universe movie that didn't have Spider Man

876
00:45:18,320 --> 00:45:22,880
Speaker 1: in it. I barely noticed it, like even that it

877
00:45:23,040 --> 00:45:25,320
Speaker 1: came out, didn't realize it had anything to do with

878
00:45:25,360 --> 00:45:31,560
Speaker 1: Spider Man. That one made thirty nine million dollars in

879
00:45:32,000 --> 00:45:37,160
Speaker 1: its three day debut. Madam Web made seventeen point six million.

880
00:45:37,239 --> 00:45:39,919
Speaker 1: So this is like a new low for how bad

881
00:45:39,960 --> 00:45:45,279
Speaker 1: a comic book movie can possibly do. But yeah, so

882
00:45:45,400 --> 00:45:49,279
Speaker 1: that they were like betting on Madam Web and they're like, oh, yeah,

883
00:45:49,280 --> 00:45:51,400
Speaker 1: I guess there's this Bob Marley thing that we can

884
00:45:52,120 --> 00:45:55,040
Speaker 1: throw out. It has the word love in the title.

885
00:45:55,120 --> 00:45:57,840
Speaker 1: Let's put it out on Valentine's Day is literally what

886
00:45:58,040 --> 00:45:58,359
Speaker 1: they did.

887
00:46:00,320 --> 00:46:03,120
Speaker 2: Yeah, people say it's not that movie is also not Like,

888
00:46:03,200 --> 00:46:07,200
Speaker 2: if you're looking for a real, unadulterated look into Bob

889
00:46:07,280 --> 00:46:09,200
Speaker 2: Marley's life, this isn't the movie.

890
00:46:09,360 --> 00:46:11,920
Speaker 3: But again, this feels like the movie for people who

891
00:46:12,080 --> 00:46:15,640
Speaker 3: have a Bob Marley one love t shirt. Right.

892
00:46:16,320 --> 00:46:19,759
Speaker 2: I just want to hear about the trippy artist poet guy. Yeah,

893
00:46:19,840 --> 00:46:22,800
Speaker 2: no dark stuff at all, just keep it just we

894
00:46:22,960 --> 00:46:23,200
Speaker 2: love it.

895
00:46:23,320 --> 00:46:25,520
Speaker 3: We love it. The critics we're not feeling it.

896
00:46:26,120 --> 00:46:28,480
Speaker 1: No, but hey, Bob Marley is definitely one of those

897
00:46:28,520 --> 00:46:32,640
Speaker 1: people who's like so iconic it feels weird to have

898
00:46:32,880 --> 00:46:36,920
Speaker 1: somebody play him, like the guy, Like, I don't know,

899
00:46:37,040 --> 00:46:42,080
Speaker 1: the actor playing him didn't seem like he was giving

900
00:46:42,200 --> 00:46:45,479
Speaker 1: me that much like Marley or it was like doing

901
00:46:45,640 --> 00:46:47,600
Speaker 1: the magic trick that you need a movie to do

902
00:46:47,760 --> 00:46:50,279
Speaker 1: to be like, no, that that is Bob Marley. I

903
00:46:50,320 --> 00:46:54,279
Speaker 1: guess you know, yeah, Kingsley Bennetteer is the actor, and

904
00:46:54,440 --> 00:46:57,200
Speaker 1: it definitely it feels like a.

905
00:46:57,360 --> 00:46:59,720
Speaker 3: Dude wearing a Bob Marley.

906
00:47:00,880 --> 00:47:03,759
Speaker 2: I mean like yeah, like looking at it, you're like,

907
00:47:03,920 --> 00:47:07,719
Speaker 2: oh shit, that's Bob Marley. Because also like I don't

908
00:47:07,760 --> 00:47:12,880
Speaker 2: know why his dreads look so bad, you know what

909
00:47:12,920 --> 00:47:15,680
Speaker 2: I mean, Like that's the part I think that's that.

910
00:47:15,920 --> 00:47:18,960
Speaker 2: That's the part that really my fucking brain cannot like

911
00:47:19,040 --> 00:47:22,320
Speaker 2: wrap my head around. Like at least ship dread it

912
00:47:22,440 --> 00:47:25,400
Speaker 2: looked like a helmet. It looks like a fucking like

913
00:47:25,520 --> 00:47:29,000
Speaker 2: a Dea agent is pretending to be a Rasta to

914
00:47:29,080 --> 00:47:29,600
Speaker 2: buy weed.

915
00:47:31,800 --> 00:47:35,800
Speaker 3: The wig is not not our best wig work, And

916
00:47:35,960 --> 00:47:41,120
Speaker 3: like come on, there's I know these dreads.

917
00:47:40,920 --> 00:47:42,640
Speaker 2: Can look because they don't they damn sure don't look

918
00:47:42,680 --> 00:47:48,000
Speaker 2: like Bob Marley's dreadlocks, no iconic, wonderful dreadlocks, like not

919
00:47:48,160 --> 00:47:50,919
Speaker 2: his young guy sort of. You know when Zach Dala

920
00:47:51,040 --> 00:47:53,879
Speaker 2: Rocca was rocking that kind of style of dreads back

921
00:47:53,920 --> 00:47:55,640
Speaker 2: in the day and not like the shorter ones and

922
00:47:55,719 --> 00:47:58,640
Speaker 2: then even the like latter day ones. It really looks

923
00:47:58,719 --> 00:48:01,760
Speaker 2: like a helmet that had locked things like like sewed

924
00:48:01,800 --> 00:48:05,360
Speaker 2: into them. Yeah, and yeah, it's some experience. When I

925
00:48:05,440 --> 00:48:08,640
Speaker 2: wear that, it's not good either. So yeah, you know,

926
00:48:09,440 --> 00:48:12,480
Speaker 2: red lock hat, you're definitely not getting the reactions you

927
00:48:12,560 --> 00:48:14,839
Speaker 2: thought you were getting. You're like wearing that knit cap.

928
00:48:15,280 --> 00:48:19,359
Speaker 2: This is just because I like Bob Marley. Fine, it's

929
00:48:19,400 --> 00:48:23,359
Speaker 2: a trite. Yeah, every time you go I have told

930
00:48:23,400 --> 00:48:25,640
Speaker 2: you don't go in that fucking barber shop and say

931
00:48:25,760 --> 00:48:30,160
Speaker 2: walk on. I'm telling you it's not gonna work out

932
00:48:30,200 --> 00:48:36,160
Speaker 2: for you the way wan bro oh no, get them

933
00:48:36,200 --> 00:48:38,040
Speaker 2: out of here, get him out. Did you see the

934
00:48:38,120 --> 00:48:40,279
Speaker 2: fucking I saw a couple of clips on Twitter, and

935
00:48:40,320 --> 00:48:41,520
Speaker 2: I don't know if there're bs or whatever.

936
00:48:41,600 --> 00:48:44,000
Speaker 3: That's all I'll fucking you know, I'll give you that

937
00:48:44,080 --> 00:48:44,799
Speaker 3: caveat before.

938
00:48:44,880 --> 00:48:47,919
Speaker 2: But like it looked like there were literally just full

939
00:48:48,000 --> 00:48:50,520
Speaker 2: on empty theaters of Madam Web like people be like

940
00:48:50,840 --> 00:48:54,320
Speaker 2: I'm at the showing it's me and my homeboy and

941
00:48:54,600 --> 00:48:58,000
Speaker 2: there's nobody else in here. I mean that shit happens,

942
00:48:58,040 --> 00:49:00,640
Speaker 2: like I've been in plenty of movie I guess, maybe

943
00:49:00,719 --> 00:49:01,760
Speaker 2: not on the opening weekend.

944
00:49:02,520 --> 00:49:07,960
Speaker 3: Uh yeah. Yeah when I saw that Netflix movie Leave.

945
00:49:07,840 --> 00:49:11,560
Speaker 1: The World Behind, like the when it was out, and

946
00:49:11,680 --> 00:49:13,840
Speaker 1: they were just like I had completely given up on it.

947
00:49:14,160 --> 00:49:18,680
Speaker 1: It was it was me and nobody else in the

948
00:49:18,920 --> 00:49:24,800
Speaker 1: entire so yeah, I mean, but Madam Webb was like

949
00:49:24,920 --> 00:49:27,359
Speaker 1: had a whole press to like leave the World Behind.

950
00:49:27,400 --> 00:49:29,240
Speaker 1: They were just like, ah, we'll see if anybody watches

951
00:49:29,280 --> 00:49:33,839
Speaker 1: on Netflix. Madam Web was like they like I had,

952
00:49:34,520 --> 00:49:36,919
Speaker 1: I wasn't even close to there.

953
00:49:37,160 --> 00:49:37,359
Speaker 3: There.

954
00:49:38,200 --> 00:49:43,040
Speaker 1: In all the multi verses in my where where I exist,

955
00:49:43,160 --> 00:49:46,279
Speaker 1: I did not see Madam Web. Like not in zero

956
00:49:46,480 --> 00:49:48,520
Speaker 1: percent of them did I see Madam Web. But I

957
00:49:48,640 --> 00:49:52,600
Speaker 1: knew that shit existed, like in probably most of them

958
00:49:53,280 --> 00:49:58,080
Speaker 1: you couldn't miss it. But somehow like that just nobody

959
00:49:58,239 --> 00:49:59,239
Speaker 1: wanted to see that shit.

960
00:50:00,600 --> 00:50:04,600
Speaker 2: Pretty well, it's it's uh, I mean, they spent not

961
00:50:04,719 --> 00:50:06,720
Speaker 2: that much. They said the budget was around one hundred

962
00:50:06,800 --> 00:50:11,120
Speaker 2: million for a superhero movie. That is pretty pretty tame. Yeah,

963
00:50:11,320 --> 00:50:14,360
Speaker 2: but I think I think one way too much. Yeah, Sony,

964
00:50:14,760 --> 00:50:17,439
Speaker 2: leave the Spider Man shit alone, unless it's that real

965
00:50:17,520 --> 00:50:21,080
Speaker 2: Spider Man or the fucking the animated shit, because that's

966
00:50:21,120 --> 00:50:24,120
Speaker 2: the only thing that people are fucking with. Yeah, but

967
00:50:24,160 --> 00:50:28,080
Speaker 2: they're really trying to. There's already like shady fucking stories

968
00:50:28,120 --> 00:50:32,080
Speaker 2: in the Hollywood Reporter inside Sony's Madam Webb collapse. Forget

969
00:50:32,160 --> 00:50:34,920
Speaker 2: about a new franchise. The flop is wiping out an

970
00:50:35,080 --> 00:50:37,480
Speaker 2: entire plan for a new movie series as a studio

971
00:50:37,560 --> 00:50:41,359
Speaker 2: becomes the latest superhero studio in need of a pivot. Yeah,

972
00:50:41,520 --> 00:50:44,799
Speaker 2: just again, leave it alone. There's you could have used

973
00:50:44,840 --> 00:50:48,640
Speaker 2: these same actresses and done them maybe in the original

974
00:50:48,719 --> 00:50:50,520
Speaker 2: film that had nothing to do with Spider Man.

975
00:50:51,360 --> 00:50:52,000
Speaker 3: Look, you can't.

976
00:50:52,080 --> 00:50:55,120
Speaker 1: We don't know that Bob Marley had superpowers, but we

977
00:50:55,200 --> 00:50:56,240
Speaker 1: don't know that he didn't.

978
00:50:56,560 --> 00:51:03,279
Speaker 3: Oh so all we're saying is I can see a

979
00:51:03,320 --> 00:51:05,440
Speaker 3: white guy who's like, I mean, his hair is kind

980
00:51:05,480 --> 00:51:08,040
Speaker 3: of like Spider webs. Yeah, that's pretty amazing.

981
00:51:09,080 --> 00:51:10,960
Speaker 2: Yeah, And like maybe his power is like you know,

982
00:51:11,160 --> 00:51:13,560
Speaker 2: like one love, like you can make everyone sort of

983
00:51:13,680 --> 00:51:15,719
Speaker 2: just like love, like you know, succumb to the power

984
00:51:15,800 --> 00:51:16,680
Speaker 2: of love or something.

985
00:51:16,719 --> 00:51:18,799
Speaker 3: I don't know, just let's think about it all right.

986
00:51:19,480 --> 00:51:21,960
Speaker 1: Well, those are some of the things that we're trending

987
00:51:22,160 --> 00:51:26,920
Speaker 1: over the weekend. We are back tomorrow with the whole

988
00:51:26,960 --> 00:51:30,320
Speaker 1: last episode of the show. Until then, be kind to

989
00:51:30,440 --> 00:51:33,439
Speaker 1: each other, be kind to yourselves, get the vaccine, don't

990
00:51:33,520 --> 00:51:36,800
Speaker 1: do nothing about white supremacy, and we will talk you

991
00:51:36,840 --> 00:51:37,360
Speaker 1: out tomorrow.

992
00:51:37,600 --> 00:51:38,640
Speaker 3: Bye. Bite