1
00:00:00,240 --> 00:00:03,560
Speaker 1: Hello the Internet, and welcome to this episode of the

2
00:00:03,600 --> 00:00:05,120
Speaker 1: Weekly Zeitgeist.

3
00:00:05,519 --> 00:00:06,560
Speaker 2: Uh These are.

4
00:00:06,480 --> 00:00:10,600
Speaker 1: Some of our favorite segments from this week, all edited

5
00:00:10,640 --> 00:00:19,440
Speaker 1: together into one NonStop infotainment laugh stravaganza. Uh yeah, So,

6
00:00:19,880 --> 00:00:24,000
Speaker 1: without further ado, here is the Weekly Zeitgeist.

7
00:00:25,360 --> 00:00:27,320
Speaker 2: Miles Colors.

8
00:00:27,600 --> 00:00:31,440
Speaker 1: You are thrilled to be joined in our third seat

9
00:00:32,120 --> 00:00:36,320
Speaker 1: by a very funny media critic, talented musician, just all

10
00:00:36,360 --> 00:00:41,480
Speaker 1: around artists who you know from YouTube, where her work

11
00:00:41,520 --> 00:00:44,519
Speaker 1: has been viewed millions of times and hailed by The

12
00:00:44,560 --> 00:00:45,600
Speaker 1: New York Times.

13
00:00:46,159 --> 00:00:50,960
Speaker 2: Please welcome, Thank you.

14
00:00:51,440 --> 00:00:53,080
Speaker 3: Am I supposed to sing a song now?

15
00:00:53,520 --> 00:00:56,440
Speaker 2: Yes? You got to your musician. You are duty bound.

16
00:00:56,840 --> 00:00:59,880
Speaker 3: I didn't Preparis song. I didn't Preparis song.

17
00:01:00,440 --> 00:01:01,720
Speaker 2: Will allow it this once.

18
00:01:02,160 --> 00:01:02,560
Speaker 3: I'm just.

19
00:01:04,040 --> 00:01:10,200
Speaker 2: Watch walking on the moon. Cat, there you go. My

20
00:01:10,280 --> 00:01:13,000
Speaker 2: legs don't break. Yeah, see, I brought it all together

21
00:01:13,040 --> 00:01:13,280
Speaker 2: right there.

22
00:01:13,319 --> 00:01:17,280
Speaker 3: I'm just not hearing in awe, How on it you

23
00:01:17,319 --> 00:01:19,319
Speaker 3: guys are so early in the morning.

24
00:01:19,240 --> 00:01:21,200
Speaker 2: Right now, eleven fifty two.

25
00:01:22,560 --> 00:01:24,080
Speaker 3: That's early in the morning for me. Yeah.

26
00:01:24,120 --> 00:01:28,319
Speaker 1: Yeah, we shouldn't be awake right now, frankly, quite frankly, Cat,

27
00:01:28,600 --> 00:01:30,039
Speaker 1: we shouldn't be awake right now.

28
00:01:30,280 --> 00:01:31,240
Speaker 2: And you're welcome.

29
00:01:31,600 --> 00:01:34,399
Speaker 3: Look, you have lunch yet, and you're on it on it.

30
00:01:35,440 --> 00:01:37,600
Speaker 2: I have not had lunch yet. Usually, like as soon

31
00:01:37,640 --> 00:01:42,000
Speaker 2: as we're done recording, I'm like, I am fucked inside out.

32
00:01:42,520 --> 00:01:45,479
Speaker 2: I'm so dumb about my food intake. Like I will

33
00:01:45,520 --> 00:01:48,000
Speaker 2: let myself get angry hungry.

34
00:01:48,040 --> 00:01:50,680
Speaker 1: And then yeah and then just be like god and

35
00:01:50,720 --> 00:01:52,760
Speaker 1: then finally eat And it's like I was holding my

36
00:01:52,840 --> 00:01:54,080
Speaker 1: breath like that's how hungry.

37
00:01:54,160 --> 00:01:58,080
Speaker 2: I was like, yeah, damn you know that point like

38
00:01:58,120 --> 00:02:00,520
Speaker 2: you were your stomach's empty, and like your breath smells

39
00:02:00,560 --> 00:02:03,720
Speaker 2: bad because your stomach's so empty. My breath never smells bad.

40
00:02:03,920 --> 00:02:06,280
Speaker 2: Well ship between drinking and baby.

41
00:02:07,440 --> 00:02:10,600
Speaker 3: Well, I've never tried the sniff test when I'm about hungry.

42
00:02:10,880 --> 00:02:11,560
Speaker 3: I probably should.

43
00:02:11,680 --> 00:02:14,200
Speaker 2: I think you're probably responsible enough to probably eat when

44
00:02:14,240 --> 00:02:17,119
Speaker 2: it's time to And we're just like just three more

45
00:02:17,200 --> 00:02:21,200
Speaker 2: recordings and then I will have two twenty pieces of

46
00:02:21,200 --> 00:02:23,640
Speaker 2: bread or whatever the you. But anyway, thank you so

47
00:02:23,720 --> 00:02:26,520
Speaker 2: much for coming on. Moons. Can I call you moon cat,

48
00:02:26,680 --> 00:02:27,840
Speaker 2: moon cat cat?

49
00:02:28,240 --> 00:02:28,440
Speaker 4: Yeah?

50
00:02:28,520 --> 00:02:30,520
Speaker 3: People call me moon, people call me moon cat.

51
00:02:30,880 --> 00:02:34,000
Speaker 1: Yeah, nobody calls you moons, So I'm just gonna cut that.

52
00:02:35,280 --> 00:02:36,560
Speaker 3: No one's ever called me moons.

53
00:02:36,680 --> 00:02:39,360
Speaker 2: No, like, my mouth keeps wanting to do that, but

54
00:02:39,560 --> 00:02:42,119
Speaker 2: that's a very I think that's like an American thing,

55
00:02:42,400 --> 00:02:45,639
Speaker 2: like throwing as on dude moons. What's up, Moon? Yeah,

56
00:02:45,680 --> 00:02:48,200
Speaker 2: moons came through. Dude Moons came through the pod. It

57
00:02:48,320 --> 00:02:51,560
Speaker 2: was really fantastic. Yeah, but yeah, it's so great to

58
00:02:51,600 --> 00:02:54,600
Speaker 2: have you here. Like like I was saying before, huge

59
00:02:54,639 --> 00:02:56,840
Speaker 2: fans of your work, so it's really great to have

60
00:02:56,880 --> 00:03:00,280
Speaker 2: you on to talk about this topic because it's Yeah,

61
00:03:00,280 --> 00:03:03,480
Speaker 2: we just felt like, wait, we like this video, we

62
00:03:03,560 --> 00:03:06,400
Speaker 2: love this creator. Let's have a conversation with them, and

63
00:03:06,520 --> 00:03:08,720
Speaker 2: everyone wins. Everyone wins because I'm sure many of our

64
00:03:08,720 --> 00:03:10,120
Speaker 2: listeners are also big fans too.

65
00:03:10,880 --> 00:03:11,400
Speaker 5: Yeah.

66
00:03:11,440 --> 00:03:15,040
Speaker 1: This is definitely the guests that when I've told people.

67
00:03:14,800 --> 00:03:20,240
Speaker 6: Everyone's like, oh hell yeah really, Oh damn, oh damn,

68
00:03:20,360 --> 00:03:24,760
Speaker 6: oh listen, Oh my god, wait on your podcast if

69
00:03:25,960 --> 00:03:26,840
Speaker 6: you swear.

70
00:03:28,400 --> 00:03:32,560
Speaker 2: Yes, swear down in the title and everything. Yeah, swear down, man,

71
00:03:32,600 --> 00:03:34,160
Speaker 2: We're gonna have moon Cat all right.

72
00:03:34,200 --> 00:03:36,560
Speaker 1: Yeah I've been burnt before. Yeah, I put it in

73
00:03:36,600 --> 00:03:37,360
Speaker 1: the title that one.

74
00:03:37,440 --> 00:03:40,960
Speaker 2: Yeah, I know. Look, Gavin McGinnis, he's a coward and

75
00:03:41,040 --> 00:03:42,680
Speaker 2: he bailed on us. We thought we were gonna have

76
00:03:42,720 --> 00:03:44,280
Speaker 2: a great conversation with him about the.

77
00:03:44,400 --> 00:03:47,560
Speaker 1: But the wrong Gavin McGinnis, and we're sorry.

78
00:03:49,000 --> 00:03:51,400
Speaker 3: I could just be AI. I could just be an

79
00:03:51,400 --> 00:03:52,720
Speaker 3: AI version of myself.

80
00:03:52,920 --> 00:03:56,640
Speaker 2: That's right, truly, Yeah, I mean for all we know. Yeah, yeah,

81
00:03:56,680 --> 00:03:58,720
Speaker 2: but you showed us your hands. You had five digits.

82
00:03:58,760 --> 00:04:01,640
Speaker 2: They didn't look all AI stuff, so yeah, you passed.

83
00:04:02,360 --> 00:04:05,280
Speaker 2: The writing on your shirt is complete gibberish.

84
00:04:04,800 --> 00:04:06,320
Speaker 3: But yeah, yeah it is.

85
00:04:07,520 --> 00:04:09,080
Speaker 2: What's your saying?

86
00:04:09,840 --> 00:04:12,560
Speaker 3: It says sleepy head until I'm dead.

87
00:04:13,080 --> 00:04:17,880
Speaker 1: Oh hell, that's actually I guess it's that as I

88
00:04:17,920 --> 00:04:19,080
Speaker 1: am a very sleepy boy.

89
00:04:19,160 --> 00:04:21,440
Speaker 3: It has has a little kitten on it. Despite this

90
00:04:21,480 --> 00:04:25,680
Speaker 3: brand called Dogecore. The owner of that brand, Yeah, the

91
00:04:26,160 --> 00:04:28,599
Speaker 3: owner of the brand just emailed me one day and

92
00:04:28,800 --> 00:04:30,760
Speaker 3: was like, I love your videos. Let me send you

93
00:04:30,760 --> 00:04:35,919
Speaker 3: anod of free clothes. And I was like, okay, yeah crypto,

94
00:04:36,240 --> 00:04:39,320
Speaker 3: yeah yeah, that's it's not not affiliated with.

95
00:04:44,040 --> 00:04:49,400
Speaker 1: But yeah, you've you've helped uncover everything from fucking crypto

96
00:04:49,600 --> 00:04:56,359
Speaker 1: influencers to most recently, evolutionary psychology. And we wanted to

97
00:04:56,400 --> 00:04:59,559
Speaker 1: have you on to talk about your Manosphere video, which

98
00:04:59,760 --> 00:05:03,680
Speaker 1: is a favorite of ours, and just really open my

99
00:05:03,720 --> 00:05:06,680
Speaker 1: eyes to a world that I wish I had never

100
00:05:06,800 --> 00:05:10,360
Speaker 1: learned about, but I think it's important for our job

101
00:05:10,760 --> 00:05:13,800
Speaker 1: covering the zeitgeist. It was it was very kind of

102
00:05:13,960 --> 00:05:19,320
Speaker 1: enlightening as to what bullshit is happening.

103
00:05:19,680 --> 00:05:21,440
Speaker 2: Yeah, but just below the surface.

104
00:05:22,760 --> 00:05:26,440
Speaker 1: What is something Jack Wagner from your search history that

105
00:05:26,600 --> 00:05:28,200
Speaker 1: is revealing about who you are?

106
00:05:28,480 --> 00:05:30,080
Speaker 7: Oh my god, this is the one I was not

107
00:05:30,160 --> 00:05:33,400
Speaker 7: quite prepared for. But my search history in general is

108
00:05:33,400 --> 00:05:35,760
Speaker 7: like insane because of this show. So like I'm just

109
00:05:36,040 --> 00:05:38,880
Speaker 7: constantly I'm content. I mean, I could look at my

110
00:05:38,920 --> 00:05:42,440
Speaker 7: search it might be boring today, but I'm constantly looking

111
00:05:42,520 --> 00:05:44,159
Speaker 7: up stuff where I'm like, oh, I'm for sure going

112
00:05:44,200 --> 00:05:46,159
Speaker 7: to end up on some watch list, you know.

113
00:05:46,440 --> 00:05:49,239
Speaker 2: Yeah, but I feel like a lot of podcast hosts

114
00:05:49,279 --> 00:05:52,440
Speaker 2: who have deep dive shows have some version like there's

115
00:05:52,440 --> 00:05:54,080
Speaker 2: no way I'm not on a watch list based on

116
00:05:54,120 --> 00:05:56,320
Speaker 2: the ship I look up just for my show.

117
00:05:56,400 --> 00:05:59,279
Speaker 7: But a funny one the other day that like in

118
00:05:59,320 --> 00:06:01,560
Speaker 7: the middle of the inner something came up where like

119
00:06:01,600 --> 00:06:04,360
Speaker 7: we were talking about, uh, you know those pictures on

120
00:06:04,400 --> 00:06:07,200
Speaker 7: like Hallmark cards where it'll be like a black and

121
00:06:07,240 --> 00:06:10,280
Speaker 7: white photo of two little kids usually dressed as adults,

122
00:06:10,360 --> 00:06:12,719
Speaker 7: like wearing like nineteen forty suits and it'll be like

123
00:06:12,720 --> 00:06:15,120
Speaker 7: a little boy holding a flower up to the girl

124
00:06:15,279 --> 00:06:17,480
Speaker 7: or like kissing her on the cheek. Yeah, Like, I

125
00:06:17,480 --> 00:06:19,240
Speaker 7: don't know whatever those are called. I was trying to

126
00:06:19,240 --> 00:06:22,120
Speaker 7: figure out the name of the photographer, and I was

127
00:06:22,160 --> 00:06:24,279
Speaker 7: having a lot of trouble. I think it's Kim Anderson,

128
00:06:24,320 --> 00:06:26,839
Speaker 7: by the way. But like during the interview, which was

129
00:06:26,880 --> 00:06:29,880
Speaker 7: like video recorded too, I kept doing this search and

130
00:06:30,440 --> 00:06:32,960
Speaker 7: all of the searches I was doing were for sure

131
00:06:33,160 --> 00:06:35,479
Speaker 7: going to end up like getting me on one of

132
00:06:35,480 --> 00:06:38,360
Speaker 7: the watch lists because I was typing in like cute

133
00:06:38,480 --> 00:06:41,160
Speaker 7: romantic children like photos.

134
00:06:43,200 --> 00:06:46,640
Speaker 2: White like oh no, on a date, like this guy's

135
00:06:46,640 --> 00:06:51,480
Speaker 2: a freak. Yeah, there's definitely like a page of shit

136
00:06:51,600 --> 00:06:56,000
Speaker 2: like that and kids doing adult stuff. Yeah, wait a second,

137
00:06:56,960 --> 00:06:57,960
Speaker 2: it sounds like a guy.

138
00:06:58,200 --> 00:07:01,320
Speaker 7: It sounds like like somebody on their first day of

139
00:07:01,320 --> 00:07:02,120
Speaker 7: being a pedophile.

140
00:07:02,279 --> 00:07:02,479
Speaker 2: Yeah.

141
00:07:02,520 --> 00:07:04,360
Speaker 7: They don't know what to search, Ye, they like it

142
00:07:04,960 --> 00:07:06,920
Speaker 7: like how kids used to when you were a kid,

143
00:07:06,920 --> 00:07:10,040
Speaker 7: and you would search likenked women, boob.

144
00:07:09,880 --> 00:07:14,440
Speaker 2: Yeah yeah whatever. Yeah. I don't want to be greedy,

145
00:07:14,560 --> 00:07:15,680
Speaker 2: you know, I don't want to come off like a

146
00:07:15,720 --> 00:07:17,520
Speaker 2: weirdo just boob. I like that.

147
00:07:17,520 --> 00:07:20,240
Speaker 1: The kid in that scenario is also like an old prospector.

148
00:07:20,640 --> 00:07:26,600
Speaker 7: Yeah, naked, but yeah, I'm looking for that's a pretty

149
00:07:26,600 --> 00:07:28,600
Speaker 7: good one.

150
00:07:28,800 --> 00:07:30,880
Speaker 2: You didn't even realize that there was like a sort

151
00:07:30,880 --> 00:07:33,800
Speaker 2: of like a Getty's kind of Yeah, I didn't like

152
00:07:33,840 --> 00:07:40,080
Speaker 2: an tourist theory. Name drop on the other photography babies,

153
00:07:40,960 --> 00:07:43,760
Speaker 2: great name drop. Yeah, who's the one who did the

154
00:07:43,800 --> 00:07:47,920
Speaker 2: Wye Mariners? You know you know what I'm talking about that.

155
00:07:48,560 --> 00:07:51,560
Speaker 2: It's like it was, Oh, William Wegman. If you look up,

156
00:07:51,760 --> 00:07:53,520
Speaker 2: there was like in the the guy would dress up

157
00:07:53,560 --> 00:07:57,440
Speaker 2: wyriiners and like human clothing and they were like dogs.

158
00:07:57,480 --> 00:07:59,239
Speaker 2: I was like, yeah, yeah, yes, Oh.

159
00:07:59,080 --> 00:08:01,240
Speaker 1: My god, I not know what word you're.

160
00:08:01,280 --> 00:08:04,040
Speaker 2: I know what you're talking about. Yeah, yeah, yeah, yeah

161
00:08:03,880 --> 00:08:06,520
Speaker 2: the dog. I wonder if all of them I hate

162
00:08:06,560 --> 00:08:09,400
Speaker 2: these photos. Yeah, I know they're just like I'm sorry,

163
00:08:09,400 --> 00:08:12,560
Speaker 2: well dude, they're fucking They're just they're yeah, they're angering.

164
00:08:12,840 --> 00:08:14,960
Speaker 2: I hope you googled that and that wasn't like a

165
00:08:15,000 --> 00:08:17,400
Speaker 2: pull off the dome. I would be so impressed. But

166
00:08:17,920 --> 00:08:21,160
Speaker 2: I knew, I just knew. I knew. I knew his name,

167
00:08:21,240 --> 00:08:24,040
Speaker 2: but I always know it's the Wine Hiner photographer guy,

168
00:08:24,200 --> 00:08:27,680
Speaker 2: because it's I'm impressed that, you know, the breed winem Reiner.

169
00:08:27,960 --> 00:08:30,320
Speaker 2: It's because you know what, my dad's also a photographer,

170
00:08:30,320 --> 00:08:32,800
Speaker 2: and he would always talk cash shit about these pictures.

171
00:08:32,800 --> 00:08:34,760
Speaker 2: He's like, what the fuck is He's like, you're dressing

172
00:08:34,840 --> 00:08:39,319
Speaker 2: up dogs? Either way, I wonder if these three link up, right, right,

173
00:08:40,320 --> 00:08:43,080
Speaker 2: William like an Avengers of like or they just fucking

174
00:08:43,160 --> 00:08:46,560
Speaker 2: hate each other, right, I'm thinking I hate each other?

175
00:08:46,760 --> 00:08:48,840
Speaker 1: That would be a great like like.

176
00:08:48,760 --> 00:08:51,800
Speaker 2: And Getty's is so pissed because like he got the

177
00:08:51,840 --> 00:08:55,760
Speaker 2: big Hallmark deal in ninety four, right, and like like

178
00:08:55,960 --> 00:09:00,480
Speaker 2: you believe they're making fucking porcelain figurines out of his dogs? Yeah.

179
00:09:00,559 --> 00:09:04,000
Speaker 1: The winem Reinders seemed to be taken somewhat seriously. Is

180
00:09:04,040 --> 00:09:07,680
Speaker 1: that am I? Like more seriously than the kids you

181
00:09:07,720 --> 00:09:08,640
Speaker 1: know on the Yeah?

182
00:09:09,240 --> 00:09:11,200
Speaker 2: You know, yeah. Yeah. It was like it was like

183
00:09:11,240 --> 00:09:14,000
Speaker 2: a thing like serious. People were like, oh, like I

184
00:09:14,080 --> 00:09:17,920
Speaker 2: have the William Wegman book, Sure of a fucking Dog

185
00:09:17,960 --> 00:09:18,640
Speaker 2: wearing a robe?

186
00:09:18,720 --> 00:09:22,000
Speaker 1: Okay, and they all like look down on Lisa Frank

187
00:09:22,200 --> 00:09:23,440
Speaker 1: because she's like.

188
00:09:24,000 --> 00:09:29,319
Speaker 2: I've Lisa's a artist, Lisa's a goat and omar William

189
00:09:29,320 --> 00:09:35,200
Speaker 2: Wegman see this is like I think this is emblematic

190
00:09:35,240 --> 00:09:37,360
Speaker 2: of the nineties in a way that gets lost, like

191
00:09:37,440 --> 00:09:40,400
Speaker 2: this is what shit was actually like in the late

192
00:09:40,480 --> 00:09:43,120
Speaker 2: nineties and early two thousands. Is that when this was

193
00:09:43,120 --> 00:09:46,760
Speaker 2: going down? Yeah, this is like I mean it was big, definitely,

194
00:09:46,800 --> 00:09:49,040
Speaker 2: like he was working through like from the seventies on.

195
00:09:49,120 --> 00:09:50,520
Speaker 2: But I feel like I'm reading Yeah.

196
00:09:50,679 --> 00:09:53,679
Speaker 1: For more than forty years, artist William Wegman has been

197
00:09:53,720 --> 00:09:58,439
Speaker 1: making portraits and videos of his own beloved wim Reinder dogs,

198
00:09:58,520 --> 00:10:01,040
Speaker 1: which have appeared in countless public occasions and feature on

199
00:10:01,080 --> 00:10:02,560
Speaker 1: Sesame Street and Satay Night Life.

200
00:10:02,720 --> 00:10:07,320
Speaker 7: I think it's probably like late nineties, early aughts. But

201
00:10:08,080 --> 00:10:10,160
Speaker 7: this type of ship people know, why do kay? But

202
00:10:10,160 --> 00:10:12,440
Speaker 7: they don't know like this type of ship, Yeah, because

203
00:10:12,440 --> 00:10:14,640
Speaker 7: this is what people are actually into, right.

204
00:10:14,840 --> 00:10:15,760
Speaker 2: Why do they make you?

205
00:10:17,080 --> 00:10:19,600
Speaker 1: Is it because they appear to have human bodies? They're

206
00:10:19,640 --> 00:10:22,079
Speaker 1: Wina Rhein in their heads on human bodies? Is it

207
00:10:22,280 --> 00:10:25,160
Speaker 1: just the stupid simplicity of it?

208
00:10:25,320 --> 00:10:25,720
Speaker 2: Vibes?

209
00:10:26,360 --> 00:10:30,520
Speaker 1: Yeah, yeah, vibes. I don't know, the vibes are atrocious.

210
00:10:30,720 --> 00:10:32,599
Speaker 2: They're just I mean, like it's just like that was

211
00:10:32,640 --> 00:10:34,760
Speaker 2: where the bar kind of was, you know, for It's

212
00:10:34,800 --> 00:10:37,240
Speaker 2: like and then you know Williams work it sort of

213
00:10:37,280 --> 00:10:41,240
Speaker 2: deals in what if Wymerhiners were the bourgeoisie? You know

214
00:10:41,320 --> 00:10:44,240
Speaker 2: what can what can we parse through like the analysis

215
00:10:44,240 --> 00:10:46,480
Speaker 2: of his work? You know what? You know what?

216
00:10:46,679 --> 00:10:49,800
Speaker 7: Like the next version of this is is like there

217
00:10:49,880 --> 00:10:55,160
Speaker 7: was a period where on every like bad micro brewery,

218
00:10:55,200 --> 00:10:58,359
Speaker 7: there would be like a painting of like a gorilla

219
00:10:58,520 --> 00:11:01,320
Speaker 7: in like a military uniform or a suit or something.

220
00:11:01,360 --> 00:11:03,560
Speaker 7: Do you know what I'm talking about? Like hair wearing

221
00:11:03,559 --> 00:11:10,640
Speaker 7: a suit and he had a mustache. It's the same ship. Yeah, evil,

222
00:11:10,800 --> 00:11:12,880
Speaker 7: great art, evil just taking a different form.

223
00:11:13,400 --> 00:11:15,880
Speaker 2: Yeah, you know what's that quote?

224
00:11:16,520 --> 00:11:19,280
Speaker 1: But what if the animals were doing like people stuff?

225
00:11:19,559 --> 00:11:20,240
Speaker 2: Is the question?

226
00:11:20,679 --> 00:11:23,640
Speaker 1: So what this work of art presupposes is what if

227
00:11:23,720 --> 00:11:25,520
Speaker 1: animals but people stuff?

228
00:11:26,000 --> 00:11:26,120
Speaker 2: Like?

229
00:11:26,280 --> 00:11:29,599
Speaker 1: Yes, yes, there's like one really great yeah work of

230
00:11:29,720 --> 00:11:32,160
Speaker 1: I was just about.

231
00:11:33,360 --> 00:11:33,760
Speaker 8: One.

232
00:11:34,760 --> 00:11:37,840
Speaker 1: I'm a little avant garde. I like this painting where

233
00:11:37,880 --> 00:11:39,480
Speaker 1: these dogs are playing poker.

234
00:11:39,600 --> 00:11:40,640
Speaker 2: Well that's a classic.

235
00:11:41,200 --> 00:11:44,320
Speaker 7: That is a classic America you I think I'm looking.

236
00:11:44,440 --> 00:11:47,520
Speaker 1: Yeah, this should be just a show of you telling

237
00:11:47,840 --> 00:11:52,360
Speaker 1: like differentiating between like pop art that is bullshit and

238
00:11:52,400 --> 00:11:55,439
Speaker 1: pop art that is classic that he's like Frank classic.

239
00:11:55,720 --> 00:11:58,120
Speaker 7: I hope those other world listeners tuning in being like

240
00:11:58,160 --> 00:12:02,760
Speaker 7: maybe he'll reveal secrets, and it's just they're meeting the

241
00:12:02,880 --> 00:12:06,000
Speaker 7: real me for the first time, and it's a big disappointment.

242
00:12:06,000 --> 00:12:09,480
Speaker 7: It's all about dogs playing poker. Yeah, okay, I gotta

243
00:12:09,480 --> 00:12:14,800
Speaker 7: close that tab. What is something, Claire that you think

244
00:12:15,080 --> 00:12:18,400
Speaker 7: is overrated texting?

245
00:12:19,120 --> 00:12:23,720
Speaker 9: M What do you mean texting as the primary form

246
00:12:23,800 --> 00:12:28,280
Speaker 9: of communication. I think it's overrated. I think often things

247
00:12:28,360 --> 00:12:35,560
Speaker 9: get lost in translation with punctuation and capitalization. I think

248
00:12:35,800 --> 00:12:39,120
Speaker 9: people need to stop expecting me personally to text them

249
00:12:39,160 --> 00:12:41,239
Speaker 9: back right away.

250
00:12:40,520 --> 00:12:42,800
Speaker 8: Yes, I find texting.

251
00:12:42,840 --> 00:12:45,160
Speaker 2: You gotta let it marinate. You gotta let it marinate.

252
00:12:45,320 --> 00:12:48,160
Speaker 9: You gotta let it marinate. It's not natural to communicate

253
00:12:48,200 --> 00:12:53,840
Speaker 9: with each other this quickly in this fashion. It's not natural.

254
00:12:54,679 --> 00:12:57,280
Speaker 2: I feel like I wish they took like us, like

255
00:12:57,400 --> 00:13:00,520
Speaker 2: switched I message like AOL instant messenger, where you here

256
00:13:00,520 --> 00:13:03,240
Speaker 2: like like a door open, You're like, oh, who signed on?

257
00:13:03,600 --> 00:13:04,400
Speaker 9: Yeah?

258
00:13:05,200 --> 00:13:05,360
Speaker 1: What's that?

259
00:13:05,400 --> 00:13:05,960
Speaker 2: What's that? What's up?

260
00:13:06,320 --> 00:13:06,440
Speaker 3: Hey?

261
00:13:06,440 --> 00:13:10,240
Speaker 2: You're on here? Help the door close? Well just later,

262
00:13:10,400 --> 00:13:12,600
Speaker 2: just later. I feel like that was because that was

263
00:13:12,600 --> 00:13:14,840
Speaker 2: the beginning of sort of like, hey, why aren't you

264
00:13:14,880 --> 00:13:16,680
Speaker 2: talking to me? Because back then it's like yeah, because

265
00:13:16,720 --> 00:13:18,320
Speaker 2: my ass is sat right in front of this fucking

266
00:13:18,360 --> 00:13:21,400
Speaker 2: computer talking to you. Yeah, yeah, now with it in

267
00:13:21,440 --> 00:13:23,400
Speaker 2: the hand. I'm like, we can't have that expert. I'm

268
00:13:23,400 --> 00:13:25,400
Speaker 2: even terrible at responding right away most of the time,

269
00:13:25,559 --> 00:13:26,120
Speaker 2: me too.

270
00:13:26,080 --> 00:13:29,959
Speaker 9: An away message even just say i'll get back one

271
00:13:29,960 --> 00:13:33,320
Speaker 9: of these. Hey, I'm sorry, but I'll get back to shortly.

272
00:13:33,840 --> 00:13:36,560
Speaker 9: When what is that? Four hours or four days?

273
00:13:36,840 --> 00:13:37,080
Speaker 1: Yeah?

274
00:13:37,080 --> 00:13:39,480
Speaker 2: You break you people? Do you have people coming at

275
00:13:39,520 --> 00:13:42,320
Speaker 2: you for not responding quickly? I'm guessing yeah, for what,

276
00:13:42,600 --> 00:13:45,040
Speaker 2: like real stuff like please help me, I need it,

277
00:13:45,080 --> 00:13:47,200
Speaker 2: I need a ride now to the doctor. I'm in

278
00:13:47,240 --> 00:13:47,920
Speaker 2: big trouble.

279
00:13:50,240 --> 00:13:52,560
Speaker 9: I'm gonna actually turned my phone off.

280
00:13:54,480 --> 00:13:54,600
Speaker 10: Now.

281
00:13:54,880 --> 00:13:59,160
Speaker 9: I I well, I'm just generally a bad texture texture

282
00:13:59,200 --> 00:14:01,960
Speaker 9: backer unless it is important. But if it's not important,

283
00:14:02,000 --> 00:14:04,400
Speaker 9: and it's just like, hey, what.

284
00:14:04,320 --> 00:14:06,320
Speaker 2: Are you doing next Sunday? Next?

285
00:14:06,600 --> 00:14:07,280
Speaker 10: Yeah?

286
00:14:08,280 --> 00:14:11,200
Speaker 9: And you know, I understand like the feelings of you know,

287
00:14:11,360 --> 00:14:14,400
Speaker 9: that sort of everyday rejection we go through when somebody

288
00:14:14,440 --> 00:14:18,040
Speaker 9: doesn't answer right away and you're asking them out or

289
00:14:18,120 --> 00:14:22,120
Speaker 9: asking them to do something. But I'm just like, wait, are.

290
00:14:22,000 --> 00:14:24,640
Speaker 2: You saying if we call you on the phone, then

291
00:14:24,680 --> 00:14:28,880
Speaker 2: I'm going to respond really Okay?

292
00:14:29,760 --> 00:14:32,600
Speaker 1: Both of those things stress me out, but yeah, phone

293
00:14:32,640 --> 00:14:36,360
Speaker 1: calls I feel like much less stressful than having a

294
00:14:36,400 --> 00:14:40,840
Speaker 1: text that's just sitting there, you know, unresponded to.

295
00:14:42,080 --> 00:14:44,680
Speaker 2: Well, then there's also like that stress like that you have,

296
00:14:44,760 --> 00:14:46,720
Speaker 2: like when you see someone calling that you haven't talked

297
00:14:46,760 --> 00:14:48,080
Speaker 2: to on the phone a long time. You're like, oh,

298
00:14:48,120 --> 00:14:50,240
Speaker 2: what the fuck is going on? I'm like, we're normally

299
00:14:50,280 --> 00:14:56,880
Speaker 2: texting area that means death. Yes, it's like did you

300
00:14:56,960 --> 00:15:03,360
Speaker 2: die right now? Yeah? Oh you have my Deadwood DVD

301
00:15:03,520 --> 00:15:06,800
Speaker 2: still okay? Yeah? Yeah yeah yeah yeah, bring yeah, just

302
00:15:06,800 --> 00:15:08,520
Speaker 2: bring them over. You can leave them by the door.

303
00:15:08,560 --> 00:15:10,600
Speaker 2: I'll be all right, thanks, oh thanks fucking god.

304
00:15:11,320 --> 00:15:14,200
Speaker 11: Yeah, and you are saying thanks God because you really

305
00:15:14,240 --> 00:15:17,160
Speaker 11: want to go. Yeah, don't know how to watch it

306
00:15:17,200 --> 00:15:19,800
Speaker 11: on streaming. I still don't care about their health. You're

307
00:15:19,880 --> 00:15:21,840
Speaker 11: just no, no, no, no.

308
00:15:21,640 --> 00:15:23,360
Speaker 9: No, it's all about the Wood.

309
00:15:23,600 --> 00:15:26,960
Speaker 1: Yeah. When there's like a group chat and like everybody's

310
00:15:27,040 --> 00:15:30,440
Speaker 1: just like like there's just like text flying back and forth,

311
00:15:30,520 --> 00:15:33,160
Speaker 1: I will frequently get too stressed out to respond.

312
00:15:33,600 --> 00:15:36,600
Speaker 2: Oh I've seen that happen where I feel like we'll

313
00:15:36,640 --> 00:15:40,320
Speaker 2: text about a game with Jabbari and like Jabari and

314
00:15:40,400 --> 00:15:43,480
Speaker 2: I are going off on something and slowly I'm like

315
00:15:43,800 --> 00:15:47,000
Speaker 2: Jack car respond this is these are firefucking texts right now,

316
00:15:47,080 --> 00:15:49,840
Speaker 2: not even a tat back on anything. And then it's

317
00:15:49,880 --> 00:15:51,640
Speaker 2: like seventy message if you're like, sorry, that was a

318
00:15:51,640 --> 00:15:54,120
Speaker 2: lot to catch up on a lot to catch up

319
00:15:54,320 --> 00:15:55,840
Speaker 2: right there. I get it.

320
00:15:57,280 --> 00:16:02,920
Speaker 1: Always get a phone on you knows life does. Yeah,

321
00:16:02,960 --> 00:16:04,680
Speaker 1: And it's not true that I don't keep my phone

322
00:16:04,680 --> 00:16:07,000
Speaker 1: on me. I'm just sitting there trying to come up

323
00:16:07,040 --> 00:16:10,040
Speaker 1: with something to text and just sweat pouring down, just

324
00:16:10,080 --> 00:16:13,400
Speaker 1: being like, oh, it's too late. There are already four more.

325
00:16:13,800 --> 00:16:17,120
Speaker 2: That's where AI would really help you, Jack, Yeah, Jack,

326
00:16:17,760 --> 00:16:22,760
Speaker 2: find something witty to reply about this conversation about Kendrick Lamar.

327
00:16:22,920 --> 00:16:27,640
Speaker 1: Please, everyone's just a I boughts texting with other AI bots.

328
00:16:28,040 --> 00:16:31,400
Speaker 1: That's the dream, according to the founder of Bumble. Oh

329
00:16:31,480 --> 00:16:35,000
Speaker 1: yeah right, I bought dates another AI bought and for

330
00:16:35,640 --> 00:16:40,240
Speaker 1: you and each other. Woa. Yeah, that's the that's what

331
00:16:40,360 --> 00:16:44,200
Speaker 1: they they're promising with this AI stuff. It sounds too

332
00:16:44,240 --> 00:16:48,840
Speaker 1: good to be true. What is what is underrated?

333
00:16:49,680 --> 00:16:55,160
Speaker 5: Underrated Sam the app that tells you what songs are playing? Okay,

334
00:16:56,480 --> 00:17:00,440
Speaker 5: I use it daily and I have such bad taste

335
00:17:00,480 --> 00:17:03,040
Speaker 5: in music and I don't even know if it's bad taste.

336
00:17:03,240 --> 00:17:06,240
Speaker 5: I think I just don't have any I don't know

337
00:17:06,280 --> 00:17:10,200
Speaker 5: how to find music. And for instance, whenever I literally

338
00:17:10,280 --> 00:17:13,920
Speaker 5: I people fast forward, I hear through Mark Maren's intros

339
00:17:13,920 --> 00:17:16,840
Speaker 5: and wtf. Famously I don't do that. I love them,

340
00:17:16,920 --> 00:17:18,880
Speaker 5: but I in this show all fast forward.

341
00:17:18,920 --> 00:17:20,439
Speaker 2: You don't listen to the interviews, right.

342
00:17:20,440 --> 00:17:22,560
Speaker 5: No, no, I don't even I've never heard another voice

343
00:17:22,600 --> 00:17:25,040
Speaker 5: on the podcast other than it is, except the Joel

344
00:17:25,080 --> 00:17:28,720
Speaker 5: Edgerton interview. But he but I fast forward to the

345
00:17:28,800 --> 00:17:31,920
Speaker 5: end of this so I can hear Miles's music recommendations

346
00:17:32,000 --> 00:17:34,720
Speaker 5: or Justin when Justin does them, because truly I do

347
00:17:35,040 --> 00:17:37,960
Speaker 5: know bit actually like I always add those songs because

348
00:17:37,960 --> 00:17:40,919
Speaker 5: I just don't find music. Well, I used to do

349
00:17:41,000 --> 00:17:43,320
Speaker 5: it when I was listening, like to music in my car,

350
00:17:43,720 --> 00:17:45,359
Speaker 5: like on the radio or whatever, and make like a

351
00:17:45,400 --> 00:17:47,720
Speaker 5: note of it. So I guess it's been like fifteen

352
00:17:47,800 --> 00:17:49,280
Speaker 5: years I've been able.

353
00:17:49,560 --> 00:17:51,639
Speaker 1: Where are you shazaming things? You just like go and

354
00:17:51,720 --> 00:17:53,919
Speaker 1: buy a car with its windows down like that.

355
00:17:54,040 --> 00:17:56,119
Speaker 5: Happened the other day. Really I did that. Yeah, they

356
00:17:56,160 --> 00:17:57,680
Speaker 5: were stuck at a stoplight.

357
00:17:57,320 --> 00:17:59,280
Speaker 2: And I roll down your window. What is this? What

358
00:17:59,359 --> 00:18:00,639
Speaker 2: is this? What is this? It was this guy was

359
00:18:00,680 --> 00:18:01,240
Speaker 2: this guy? It was.

360
00:18:01,320 --> 00:18:03,400
Speaker 5: It was a convertible, so you know, the music was good.

361
00:18:03,480 --> 00:18:06,560
Speaker 5: Yeah the other day I have to I have to

362
00:18:06,560 --> 00:18:09,200
Speaker 5: be a little quiet, but like it was, it was,

363
00:18:09,320 --> 00:18:15,240
Speaker 5: it was, yeah, through the wall. I could hear him

364
00:18:15,359 --> 00:18:19,560
Speaker 5: blasting music in my house. So I held my phone

365
00:18:19,720 --> 00:18:23,280
Speaker 5: up to the wall shazam and I shazammed a song

366
00:18:23,640 --> 00:18:26,000
Speaker 5: his song through the wall, and it was like a

367
00:18:26,000 --> 00:18:28,280
Speaker 5: song by Portugal the Man. I'm like, I fucking love

368
00:18:28,359 --> 00:18:30,760
Speaker 5: this song. And I just started listening to a ton

369
00:18:30,800 --> 00:18:32,800
Speaker 5: of their music. And then I went to a concert.

370
00:18:33,119 --> 00:18:36,840
Speaker 2: Oh really, you see Portugal the Man lists of this show.

371
00:18:36,960 --> 00:18:39,640
Speaker 1: Yeah, yeah, they are shout out.

372
00:18:41,640 --> 00:18:43,800
Speaker 5: Like I bought a hat. I have a Portugal the manhat.

373
00:18:43,840 --> 00:18:46,760
Speaker 5: I listened to them all the time, literally because the

374
00:18:46,880 --> 00:18:50,720
Speaker 5: zeitgeist oh amazing. As they should it should exactly.

375
00:18:50,920 --> 00:18:52,840
Speaker 2: I mean, I I don't know why we're even mentioning that.

376
00:18:52,960 --> 00:18:55,040
Speaker 1: I mean, I feel like about the Empire weekend before

377
00:18:55,040 --> 00:18:57,200
Speaker 1: we started. Obviously huge fans of this show.

378
00:18:57,560 --> 00:19:00,199
Speaker 2: Art the Man should bring us on stage, like these

379
00:19:00,200 --> 00:19:03,399
Speaker 2: two guys are real pieces of ship. Sometimes the po

380
00:19:03,760 --> 00:19:09,879
Speaker 2: there's no reference to anything. Yeah, these books alright, all right,

381
00:19:09,960 --> 00:19:15,320
Speaker 2: get out of here. The Grand Generation. What song was it?

382
00:19:15,880 --> 00:19:16,080
Speaker 2: Do you know?

383
00:19:16,080 --> 00:19:16,159
Speaker 10: What?

384
00:19:16,160 --> 00:19:17,320
Speaker 2: Do you know what song it was?

385
00:19:17,480 --> 00:19:19,200
Speaker 5: I wasn't paying attention. What were you playing?

386
00:19:20,000 --> 00:19:23,080
Speaker 2: The man? Song was that? Did you shop? What kind

387
00:19:23,040 --> 00:19:23,480
Speaker 2: of started?

388
00:19:24,720 --> 00:19:24,800
Speaker 4: It?

389
00:19:24,880 --> 00:19:24,960
Speaker 11: Was?

390
00:19:25,240 --> 00:19:26,040
Speaker 2: Modern? Modern?

391
00:19:27,440 --> 00:19:28,760
Speaker 5: That one that one I had heard of that was

392
00:19:28,800 --> 00:19:31,240
Speaker 5: like the big one. It was called Modern Jesus. And

393
00:19:31,320 --> 00:19:34,920
Speaker 5: then red, yellow, purple blue probably not the right colors

394
00:19:35,320 --> 00:19:37,879
Speaker 5: waves all from that one album. I was like, really

395
00:19:37,880 --> 00:19:41,879
Speaker 5: into it. And then I saw them in Philly whenever

396
00:19:41,920 --> 00:19:42,880
Speaker 5: that was, and they were great.

397
00:19:43,160 --> 00:19:48,479
Speaker 1: So yeah, us like all right, the tech industry as

398
00:19:48,720 --> 00:19:51,760
Speaker 1: off the rails as they have steered our entire civilization

399
00:19:52,359 --> 00:19:57,199
Speaker 1: over the past ten years, they have yours just that

400
00:19:57,240 --> 00:20:00,119
Speaker 1: ship they and I am just reading this word for

401
00:20:00,160 --> 00:20:01,440
Speaker 1: word from what Blake wrote in.

402
00:20:01,400 --> 00:20:02,239
Speaker 5: The doc No no, no, no, no.

403
00:20:02,880 --> 00:20:05,920
Speaker 1: As much as they have fucked us with this AI.

404
00:20:05,920 --> 00:20:12,080
Speaker 5: Bullshit that doesn't sound like me, they they've.

405
00:20:11,800 --> 00:20:14,440
Speaker 1: Bought themselves, Like I think I'm giving them at least

406
00:20:14,480 --> 00:20:18,520
Speaker 1: another four years just because of Sam Yeah, Shazam and

407
00:20:18,560 --> 00:20:21,880
Speaker 1: the bird Shazam that I can't stop talking about is

408
00:20:22,280 --> 00:20:25,720
Speaker 1: it's called Merlin, Merlin, Merlin. It's brought to you by

409
00:20:25,800 --> 00:20:31,359
Speaker 1: I think Cornell University, and right, yeah, is that what

410
00:20:31,400 --> 00:20:32,400
Speaker 1: they're called the Big Red.

411
00:20:32,480 --> 00:20:34,560
Speaker 5: I know all the Ivy League teams.

412
00:20:35,720 --> 00:20:36,600
Speaker 2: The Big Red.

413
00:20:37,200 --> 00:20:39,879
Speaker 1: Anyways, it's a great app. Shazam is a great app.

414
00:20:40,400 --> 00:20:44,040
Speaker 1: But you've got five more years the tech industry and

415
00:20:44,080 --> 00:20:48,280
Speaker 1: then you need to do Yeah, you need enough another

416
00:20:48,359 --> 00:20:51,440
Speaker 1: thing that just solves a basic human problem.

417
00:20:51,520 --> 00:20:53,680
Speaker 2: What about this? We can we can give custom names

418
00:20:53,720 --> 00:20:56,440
Speaker 2: to your farts.

419
00:20:56,480 --> 00:20:58,080
Speaker 5: Another three months, another three months.

420
00:20:58,480 --> 00:21:01,080
Speaker 2: That'll buy you about a week. Okay, I'm not gonna lie.

421
00:21:01,080 --> 00:21:01,880
Speaker 2: That will buy you a little bit.

422
00:21:02,760 --> 00:21:09,560
Speaker 1: But like they're really good, really great part names. Uh,

423
00:21:09,680 --> 00:21:11,280
Speaker 1: let's take a quick break and we'll come back and

424
00:21:11,320 --> 00:21:14,520
Speaker 1: hear what you think is overrated Blake, Okay, that's not

425
00:21:14,520 --> 00:21:14,840
Speaker 1: all right.

426
00:21:15,359 --> 00:21:16,280
Speaker 5: I'll be here.

427
00:21:17,800 --> 00:21:19,200
Speaker 2: Tri City Dust Double.

428
00:21:30,160 --> 00:21:32,439
Speaker 8: And we're back.

429
00:21:33,640 --> 00:21:37,800
Speaker 2: And I mean, where do you start? Where?

430
00:21:38,480 --> 00:21:39,280
Speaker 1: Where to start?

431
00:21:39,320 --> 00:21:39,399
Speaker 12: With?

432
00:21:39,520 --> 00:21:42,440
Speaker 2: Thenisphere? Where to start? I will say.

433
00:21:42,040 --> 00:21:47,240
Speaker 1: My first question about the Hemisphere was why videos so long?

434
00:21:47,920 --> 00:21:51,480
Speaker 1: All their videos seem to be at least three hours long?

435
00:21:51,840 --> 00:21:52,440
Speaker 2: What the fuck?

436
00:21:53,000 --> 00:21:55,320
Speaker 1: And that's the thing that like kept me. I wonder

437
00:21:55,359 --> 00:21:57,919
Speaker 1: if it's a strategy like it kept me out, but

438
00:21:58,080 --> 00:22:00,720
Speaker 1: like for the people who have a worm in their

439
00:22:00,720 --> 00:22:04,719
Speaker 1: brain that is like desperate for more Manosphere content, like

440
00:22:04,880 --> 00:22:09,080
Speaker 1: it just it's a very selective group that makes it

441
00:22:09,760 --> 00:22:11,680
Speaker 1: I guess not that selective looking at some of the

442
00:22:11,760 --> 00:22:16,000
Speaker 1: view counts, but for people with such little rigor to

443
00:22:16,240 --> 00:22:19,119
Speaker 1: what they're actually saying, they sure say it a lot.

444
00:22:19,640 --> 00:22:22,439
Speaker 3: Yeah, and I had to watch a lot of those

445
00:22:22,600 --> 00:22:23,840
Speaker 3: very long videos.

446
00:22:24,440 --> 00:22:28,199
Speaker 1: I've never been more impressed by, like the level of

447
00:22:28,280 --> 00:22:31,919
Speaker 1: research and also more sorry for the person doing that

448
00:22:33,160 --> 00:22:33,960
Speaker 1: and watching your.

449
00:22:34,520 --> 00:22:37,280
Speaker 2: It's like, yeah, same like people who like monitor the

450
00:22:37,320 --> 00:22:39,840
Speaker 2: alt right on the show. Yeah, you're like I know

451
00:22:39,920 --> 00:22:42,640
Speaker 2: that because I'm like I'm in all these chat groups. Man,

452
00:22:42,680 --> 00:22:45,240
Speaker 2: I'm in all these tim like, oh you poor motherfucker.

453
00:22:45,280 --> 00:22:47,280
Speaker 2: I'm so sorry, but thank you, but thank you.

454
00:22:47,359 --> 00:22:50,440
Speaker 3: Yeah, I mean two time speed is a thing on YouTube.

455
00:22:50,640 --> 00:22:54,560
Speaker 1: Hopefully it probably you really need to get the nuance,

456
00:22:54,680 --> 00:22:57,160
Speaker 1: don't you of what these guys are saying. I feel

457
00:22:57,200 --> 00:23:00,400
Speaker 1: like it's really you know, it's all very tonal and

458
00:23:00,440 --> 00:23:03,159
Speaker 1: subtle and nope, no, it turns out it's not.

459
00:23:03,680 --> 00:23:06,359
Speaker 2: Yeah. The thing that all that struck me first is

460
00:23:06,400 --> 00:23:08,560
Speaker 2: like when I think about the Manisphere, like I knew

461
00:23:08,600 --> 00:23:11,240
Speaker 2: all these figures like you know, Andrew Tate and Jordan

462
00:23:11,280 --> 00:23:13,760
Speaker 2: Peterson and fresh and fit and like sneakle all these

463
00:23:13,800 --> 00:23:16,359
Speaker 2: like weirdos who you know, are part of this this

464
00:23:16,440 --> 00:23:20,240
Speaker 2: whole culture, but like I and I always knew that

465
00:23:20,359 --> 00:23:23,000
Speaker 2: it was based on their misogynistic beliefs. But the thing

466
00:23:23,040 --> 00:23:24,639
Speaker 2: that really came out on the video from is like

467
00:23:24,760 --> 00:23:29,800
Speaker 2: how much quasi science pseudo science they use to sort

468
00:23:29,800 --> 00:23:32,400
Speaker 2: of buttress their arguments, like in this way that it's

469
00:23:32,440 --> 00:23:34,840
Speaker 2: not simply it's like dude, Like chicks don't even want

470
00:23:34,840 --> 00:23:37,200
Speaker 2: to be like a dude anymore, like they have like no,

471
00:23:37,480 --> 00:23:41,000
Speaker 2: there's this thing called hypergame man, and that, Like it's

472
00:23:41,040 --> 00:23:45,520
Speaker 2: really interesting how they use these sort of academic inroads

473
00:23:45,560 --> 00:23:48,520
Speaker 2: to then display, you know, to present their completely like

474
00:23:48,560 --> 00:23:52,280
Speaker 2: regressive thinking. Like can you just sort of give just

475
00:23:52,320 --> 00:23:56,359
Speaker 2: everyone an idea of like those main sort of pseudoscientific

476
00:23:56,960 --> 00:23:59,360
Speaker 2: arguments that are laid out to sort of justify this

477
00:23:59,520 --> 00:24:01,000
Speaker 2: misogyn worldview.

478
00:24:01,520 --> 00:24:05,520
Speaker 3: Yeah, well yeah, a lot of it's rooted in evolutionary psychology,

479
00:24:05,560 --> 00:24:08,320
Speaker 3: which is why my most recent video decided to delve

480
00:24:08,320 --> 00:24:10,920
Speaker 3: into that a bit more. But yeah, their main ones,

481
00:24:11,000 --> 00:24:15,040
Speaker 3: it's like, is hypergamy, where they sort of say that

482
00:24:15,080 --> 00:24:19,240
Speaker 3: women are wired to want to date men that earn

483
00:24:19,320 --> 00:24:23,359
Speaker 3: more than them, and there's like no way that that

484
00:24:23,680 --> 00:24:27,040
Speaker 3: could be programmed out of them. It's just innate and

485
00:24:27,200 --> 00:24:31,239
Speaker 3: feminism is just tricking them into thinking that they're not

486
00:24:31,359 --> 00:24:37,000
Speaker 3: like that, but really they are like that, right yeah, Yeah,

487
00:24:37,440 --> 00:24:40,520
Speaker 3: And then'll also talk about how rape culture is a

488
00:24:40,560 --> 00:24:44,840
Speaker 3: myth and they'll use like cherry picked studies to try

489
00:24:44,880 --> 00:24:46,200
Speaker 3: and improve that as well.

490
00:24:46,520 --> 00:24:46,720
Speaker 2: Right.

491
00:24:46,920 --> 00:24:50,360
Speaker 3: And also they'll say that that even when it comes

492
00:24:50,359 --> 00:24:53,639
Speaker 3: to domestic violence, they'll say that women are more violent

493
00:24:53,680 --> 00:24:56,320
Speaker 3: towards men than men are towards women, and they'll use

494
00:24:56,359 --> 00:25:02,120
Speaker 3: cherry picked studies to supposedly prove that. They'll also they'll

495
00:25:02,160 --> 00:25:04,040
Speaker 3: say things like the terne of wage gap is a

496
00:25:04,080 --> 00:25:09,120
Speaker 3: myth as well, and cherry pick certain studies to try

497
00:25:09,160 --> 00:25:10,280
Speaker 3: and prove that as well.

498
00:25:10,640 --> 00:25:13,639
Speaker 2: So, yeah, it's always striking how these like sort of

499
00:25:13,840 --> 00:25:17,120
Speaker 2: these backwards ways of thinking. They're always they always find

500
00:25:17,160 --> 00:25:19,080
Speaker 2: a way to be like that thing that is reality

501
00:25:19,200 --> 00:25:22,320
Speaker 2: isn't actually not true, And here's this way to kind

502
00:25:22,359 --> 00:25:25,240
Speaker 2: of intellectually get yourself out of this way of thinking

503
00:25:25,320 --> 00:25:28,439
Speaker 2: or believing that what is happening is actually not happening

504
00:25:28,800 --> 00:25:31,760
Speaker 2: and it's actually like a myth. And there's always this

505
00:25:32,280 --> 00:25:37,120
Speaker 2: I'm always amazed at the just like the lack of well,

506
00:25:37,160 --> 00:25:38,720
Speaker 2: I'm sure we'll get to it. Just like just how

507
00:25:38,880 --> 00:25:41,040
Speaker 2: like it feels like a lot of these ideologies they

508
00:25:41,080 --> 00:25:44,400
Speaker 2: prop up when the like sort of like the logic

509
00:25:44,600 --> 00:25:47,480
Speaker 2: of their beliefs hit a dead end, like like like

510
00:25:47,560 --> 00:25:50,000
Speaker 2: being a man was supposed to be enough, you know,

511
00:25:50,200 --> 00:25:53,879
Speaker 2: and I'm just I just exist, but things aren't. I'm not.

512
00:25:54,160 --> 00:25:56,840
Speaker 2: I'm not experiencing all these things I see on television

513
00:25:56,920 --> 00:25:59,640
Speaker 2: or the things that I believed. I am so now, well,

514
00:25:59,640 --> 00:26:02,960
Speaker 2: what is mean? Oh, it's that everything else is fucked up.

515
00:26:03,040 --> 00:26:06,480
Speaker 2: There's nothing I need to do to change. Let me now, like,

516
00:26:06,640 --> 00:26:09,720
Speaker 2: let me stay sort of fixed in my belief and

517
00:26:09,760 --> 00:26:12,359
Speaker 2: then begin to explain why everything else is not the

518
00:26:12,480 --> 00:26:14,840
Speaker 2: issue or everything else is the issue, rather than like

519
00:26:15,119 --> 00:26:16,800
Speaker 2: how I'm interacting with the world.

520
00:26:17,840 --> 00:26:22,960
Speaker 3: Yeah, it basically like whenever before I investigated the Manisphere,

521
00:26:23,000 --> 00:26:26,560
Speaker 3: I investigated quite a few different like scams, like sort

522
00:26:26,560 --> 00:26:30,000
Speaker 3: of property investment scams and multi level marketing schemes and

523
00:26:30,000 --> 00:26:33,160
Speaker 3: stuff like that, and I found that it definitely worked

524
00:26:33,200 --> 00:26:35,200
Speaker 3: in much the same way as many scams, in the

525
00:26:35,240 --> 00:26:37,480
Speaker 3: way that it would sort of target people and it

526
00:26:37,480 --> 00:26:41,119
Speaker 3: would reel in people who definitely felt a bit lost

527
00:26:41,160 --> 00:26:44,520
Speaker 3: in life and just were looking for, you know, like

528
00:26:44,600 --> 00:26:48,159
Speaker 3: something else to blame it on, and we're offering a

529
00:26:48,200 --> 00:26:52,640
Speaker 3: way out of that via paying who was ever, whoever

530
00:26:52,640 --> 00:26:57,080
Speaker 3: this influencer was, for a course or whatever. So yeah,

531
00:26:57,080 --> 00:27:01,320
Speaker 3: the minister would definitely reel in men who sort of

532
00:27:01,320 --> 00:27:03,760
Speaker 3: feel like they don't have a purpose in life. And

533
00:27:03,800 --> 00:27:07,280
Speaker 3: I guess in the past, your purpose would have been

534
00:27:07,920 --> 00:27:12,000
Speaker 3: more easily been like, oh, I'm a man, therefore my

535
00:27:12,080 --> 00:27:15,000
Speaker 3: purpose is to provide for a woman and for children,

536
00:27:15,040 --> 00:27:18,000
Speaker 3: Whereas it's not that easy anymore, just to have a

537
00:27:18,040 --> 00:27:22,040
Speaker 3: purpose based on your gender. It's not that simple anymore.

538
00:27:22,640 --> 00:27:25,200
Speaker 3: So I think a lot of men they do feel

539
00:27:25,240 --> 00:27:27,639
Speaker 3: a bit lost in life. And it's not you know,

540
00:27:27,840 --> 00:27:31,040
Speaker 3: because of their gender. It's probably because of like capitalism,

541
00:27:31,560 --> 00:27:33,880
Speaker 3: but they want to but they're looking to the past

542
00:27:33,920 --> 00:27:35,800
Speaker 3: and they're thinking, well, in the past, I would have

543
00:27:35,840 --> 00:27:37,639
Speaker 3: had this purpose, you know, to be a man, and

544
00:27:37,680 --> 00:27:40,760
Speaker 3: I would have been given a wife, you know, by someone,

545
00:27:40,840 --> 00:27:42,720
Speaker 3: and that would have been me and that would have

546
00:27:42,800 --> 00:27:44,840
Speaker 3: been my life. But now I don't know what to do,

547
00:27:44,920 --> 00:27:46,840
Speaker 3: so it's everybody else's fault kind of.

548
00:27:46,800 --> 00:27:52,440
Speaker 2: Thing, right. I preferred middle stage capitalism, Yeah, exactly, That's

549
00:27:52,440 --> 00:27:53,359
Speaker 2: when things were great.

550
00:27:54,800 --> 00:27:57,680
Speaker 1: Their version of the past is also a wildly inaccurate

551
00:27:58,000 --> 00:27:59,800
Speaker 1: version of what that.

552
00:28:00,040 --> 00:28:02,359
Speaker 3: Oh yeah, they liked it. They like to say that

553
00:28:02,480 --> 00:28:04,640
Speaker 3: women were happy in the nineteen fifties.

554
00:28:04,760 --> 00:28:06,560
Speaker 1: They absolutely were were happy.

555
00:28:06,680 --> 00:28:11,080
Speaker 3: They were all on drugs. Housewives were on drugs, right, yeah, lots.

556
00:28:10,840 --> 00:28:13,960
Speaker 2: Of the time. Yeah, we were just talking recent but like,

557
00:28:13,960 --> 00:28:16,399
Speaker 2: you know, the Stepford Wives being a commentary on that

558
00:28:16,520 --> 00:28:20,080
Speaker 2: era of like just being so medicated that it was

559
00:28:20,400 --> 00:28:22,919
Speaker 2: completely like not like dulling the senses of like a

560
00:28:22,960 --> 00:28:26,800
Speaker 2: generation of women. But yeah, but now it's actually feminism

561
00:28:26,840 --> 00:28:29,879
Speaker 2: that has created this unhappiness and now we're dealing with

562
00:28:29,920 --> 00:28:33,400
Speaker 2: the fallout of that. Dude, Yeah, the feminist shit.

563
00:28:33,520 --> 00:28:38,200
Speaker 1: In fact, the actual like details of the people that

564
00:28:39,320 --> 00:28:41,880
Speaker 1: we meet in the video, like the fresh and Fit,

565
00:28:42,200 --> 00:28:44,440
Speaker 1: Well I was not familiar. Is that the name of

566
00:28:44,480 --> 00:28:46,520
Speaker 1: the show, the one where they just like get women

567
00:28:46,640 --> 00:28:51,080
Speaker 1: drunk and then explain women to women?

568
00:28:51,400 --> 00:28:53,120
Speaker 2: Yeah, yeah, they don't.

569
00:28:53,200 --> 00:28:54,800
Speaker 3: They don't let them talk back, and if they do

570
00:28:54,880 --> 00:28:56,440
Speaker 3: try and talk about they just kick them out of

571
00:28:56,480 --> 00:28:59,960
Speaker 3: the podcast, supposedly beating them in the marketplace of ideas.

572
00:29:00,400 --> 00:29:04,240
Speaker 1: Right, It's amazing, Like I've never seen someone like people

573
00:29:04,360 --> 00:29:08,239
Speaker 1: be more infuriating to somebody else, like just try like

574
00:29:08,920 --> 00:29:13,240
Speaker 1: the things that they're saying about women, like the most dismissive,

575
00:29:14,000 --> 00:29:18,520
Speaker 1: diminishing things. And then if in the off chance, like

576
00:29:18,600 --> 00:29:22,120
Speaker 1: one episode out of many, like the women can't take

577
00:29:22,120 --> 00:29:25,320
Speaker 1: it anymore and get angry, then the men are like, oh,

578
00:29:25,360 --> 00:29:30,640
Speaker 1: you're just sensitive while being the most thin skinned creatures,

579
00:29:30,800 --> 00:29:36,800
Speaker 1: so emotional, get so emotional over anyone, just like talking

580
00:29:36,880 --> 00:29:37,760
Speaker 1: back to them.

581
00:29:38,560 --> 00:29:41,560
Speaker 2: It's it's so wild you put it out how like

582
00:29:41,640 --> 00:29:44,680
Speaker 2: obviously you know people say this so much, especially in

583
00:29:44,680 --> 00:29:46,760
Speaker 2: the US, like you just seen your feelings, just in

584
00:29:46,800 --> 00:29:49,239
Speaker 2: your feelings now, and then when they get caught out,

585
00:29:49,240 --> 00:29:52,200
Speaker 2: it's like, no, I'm having a fact response, having an

586
00:29:52,200 --> 00:29:55,120
Speaker 2: emotional response, having a fact based response.

587
00:29:55,560 --> 00:29:58,400
Speaker 3: Oh man, I forgot about that part. That was hilarious.

588
00:29:58,560 --> 00:30:02,400
Speaker 2: The fact response is like, holy shit, man, the amount

589
00:30:02,480 --> 00:30:05,760
Speaker 2: of mental gymnastics they got to do on that cognitive dissonance.

590
00:30:05,840 --> 00:30:08,200
Speaker 2: It's it's it's wild. It's truly wild.

591
00:30:08,800 --> 00:30:09,120
Speaker 4: Yeah.

592
00:30:09,160 --> 00:30:11,880
Speaker 3: That's why in my most recent video, I just dedicated

593
00:30:11,920 --> 00:30:15,200
Speaker 3: a whole part of the video to facts versus feelings

594
00:30:15,200 --> 00:30:18,320
Speaker 3: and how no one's only going off facts. Absolutely, no

595
00:30:18,400 --> 00:30:21,920
Speaker 3: one is ever. Everybody has feelings and everybody's acting upon

596
00:30:22,000 --> 00:30:25,080
Speaker 3: feelings and emotions. You can't escape them because if you

597
00:30:25,280 --> 00:30:29,200
Speaker 3: if you did escape your emotions, then your brain wouldn't work.

598
00:30:29,400 --> 00:30:33,080
Speaker 3: It would be just it would just short circuit.

599
00:30:33,680 --> 00:30:37,160
Speaker 2: Yeah, there is such a fear of feelings, clearly from

600
00:30:37,200 --> 00:30:39,040
Speaker 2: all of these men. Yeah what I mean, which is

601
00:30:39,080 --> 00:30:41,520
Speaker 2: why there has to be an emphasis on fact rather

602
00:30:41,600 --> 00:30:45,760
Speaker 2: than like, I'm actually having feelings of terrible inadequacy. Yeah, no, dude,

603
00:30:45,840 --> 00:30:50,920
Speaker 2: the facts are it's fucking hypergamy, man, and fucking eighty

604
00:30:51,000 --> 00:30:53,320
Speaker 2: percent of the win. There's only twenty percent of the

605
00:30:53,320 --> 00:30:55,720
Speaker 2: women available to the other eighty percent of men that

606
00:30:55,760 --> 00:30:57,600
Speaker 2: are out there, because they're all going for the top

607
00:30:57,640 --> 00:31:00,640
Speaker 2: twenty percent. So that's like we're already like so the

608
00:31:00,680 --> 00:31:02,400
Speaker 2: way they have to set all of this ship up,

609
00:31:02,440 --> 00:31:05,920
Speaker 2: it's really it's really fucking I mean, it makes sense

610
00:31:05,960 --> 00:31:10,560
Speaker 2: because right, we're so averse to picking apart our egos

611
00:31:10,680 --> 00:31:12,760
Speaker 2: or things like that, or bringing any self awareness to

612
00:31:12,800 --> 00:31:15,280
Speaker 2: that that this is such a convenient way to avoid

613
00:31:15,920 --> 00:31:19,960
Speaker 2: any kind of introspection or self critique because those are actual,

614
00:31:20,040 --> 00:31:22,640
Speaker 2: those are those things are actually by default like impossible

615
00:31:22,680 --> 00:31:26,480
Speaker 2: within the manosphere. Like I don't see many people being like, man,

616
00:31:26,480 --> 00:31:29,560
Speaker 2: you got to sit down, take an inventory of kind

617
00:31:29,600 --> 00:31:32,680
Speaker 2: of what you're feeling, maybe how things from your past

618
00:31:32,760 --> 00:31:34,920
Speaker 2: may relate to this. Now. It's always just like, no,

619
00:31:35,120 --> 00:31:37,880
Speaker 2: let me externalize everything everything is happening outside of me,

620
00:31:38,160 --> 00:31:40,880
Speaker 2: because I'm fine, but the world has gone fucking mad

621
00:31:41,120 --> 00:31:42,720
Speaker 2: and now I just need to learn how to navigate

622
00:31:42,720 --> 00:31:44,000
Speaker 2: that with my macho shit.

623
00:31:44,880 --> 00:31:47,360
Speaker 3: Yeah, which which kind of goes against the whole right

624
00:31:47,400 --> 00:31:50,160
Speaker 3: wing perspective of individualism in a way, doesn't it just

625
00:31:50,200 --> 00:31:52,040
Speaker 3: like lame everything around you?

626
00:31:52,520 --> 00:31:52,880
Speaker 2: Truly?

627
00:31:53,280 --> 00:31:56,560
Speaker 1: Yeah, those are facts and they have nothing to do

628
00:31:56,640 --> 00:32:00,400
Speaker 1: with my feelings. Okay, So I had ever heard of

629
00:32:00,400 --> 00:32:02,440
Speaker 1: Fresh and Fit or like a lot of the people covered,

630
00:32:02,600 --> 00:32:08,000
Speaker 1: I did know Jordan Peterson pretty well at their point.

631
00:32:08,440 --> 00:32:10,760
Speaker 1: He's a friend, and I think you were unfriend. No,

632
00:32:11,080 --> 00:32:16,800
Speaker 1: he like the degree to which he has crossed over

633
00:32:17,840 --> 00:32:21,080
Speaker 1: is kind of staggering when you when you look at

634
00:32:21,120 --> 00:32:26,880
Speaker 1: like what he's saying, and I mean hypergamy is that

635
00:32:26,960 --> 00:32:31,520
Speaker 1: we're calling what he's calling out like where women are

636
00:32:31,720 --> 00:32:38,480
Speaker 1: like these domesticated animals who just like can't help but

637
00:32:38,720 --> 00:32:44,480
Speaker 1: like respond to these instincts that make them find you repulse.

638
00:32:44,720 --> 00:32:48,440
Speaker 1: It's so weird, like the psychological shit they're all going

639
00:32:48,520 --> 00:32:50,520
Speaker 1: through like so many of the videos. I think you

640
00:32:50,880 --> 00:32:53,720
Speaker 1: said at one point, like come down to how ugly

641
00:32:53,760 --> 00:32:54,760
Speaker 1: do women find me?

642
00:32:55,920 --> 00:32:59,520
Speaker 3: Yeah, they're obsessed with like hierarchies. They really want to

643
00:32:59,560 --> 00:33:02,680
Speaker 3: put them else on this hierarchy of how attractive they

644
00:33:02,720 --> 00:33:05,720
Speaker 3: think they are to every woman, Like every woman is

645
00:33:05,720 --> 00:33:09,680
Speaker 3: looking at a man and thinking, so, no, ten, they're not.

646
00:33:09,880 --> 00:33:12,760
Speaker 3: They're they're extremely subjective in how they find a man,

647
00:33:12,960 --> 00:33:16,200
Speaker 3: how attractive they find a man to be right, Whereas

648
00:33:16,240 --> 00:33:19,680
Speaker 3: but they're looking at women and thinking five, six, an

649
00:33:19,400 --> 00:33:22,040
Speaker 3: eight in turn or whatever, and they think that women

650
00:33:22,120 --> 00:33:24,400
Speaker 3: are looking at men in the same way. They're absolutely not.

651
00:33:24,560 --> 00:33:27,200
Speaker 3: Women all have different tastes and most men do as well,

652
00:33:27,240 --> 00:33:29,680
Speaker 3: have all different tastes, but they think that everybody thinks

653
00:33:29,680 --> 00:33:32,120
Speaker 3: that the way they do in this very sort of

654
00:33:32,160 --> 00:33:33,160
Speaker 3: misogynistic way.

655
00:33:34,120 --> 00:33:38,280
Speaker 1: So, yeah, it'sh haired chads and some women like dark

656
00:33:38,320 --> 00:33:40,200
Speaker 1: haired chads, and that's it exactly.

657
00:33:40,360 --> 00:33:41,920
Speaker 8: Those are the two tastes.

658
00:33:41,640 --> 00:33:46,600
Speaker 1: That you need a jaw bone that looks like an

659
00:33:46,680 --> 00:33:47,959
Speaker 1: upside down football helmet.

660
00:33:48,200 --> 00:33:52,280
Speaker 3: Yeah, the perfect mandibular angle is what all women are

661
00:33:52,280 --> 00:33:53,040
Speaker 3: looking for us.

662
00:33:53,880 --> 00:33:56,520
Speaker 1: But what do you like? Who would you say is

663
00:33:56,680 --> 00:34:02,920
Speaker 1: the most kind of dangerous of these people who've who you've.

664
00:34:02,840 --> 00:34:05,880
Speaker 3: Encountered the most dangerous person in the manisphere.

665
00:34:06,080 --> 00:34:08,080
Speaker 1: Yeah, by the way, they are going to release a

666
00:34:08,160 --> 00:34:11,640
Speaker 1: video after this saying with that I'm the most dangerous

667
00:34:11,719 --> 00:34:12,359
Speaker 1: person in the.

668
00:34:16,840 --> 00:34:20,840
Speaker 3: I would say probably Jordan Peterson because he's got the

669
00:34:20,880 --> 00:34:24,880
Speaker 3: widest reach. He's got that whole PhD I know what

670
00:34:24,960 --> 00:34:27,560
Speaker 3: I'm talking about thing going on. They all look up

671
00:34:27,560 --> 00:34:29,520
Speaker 3: to him. Like when I made my Manusphet video, so

672
00:34:29,640 --> 00:34:32,279
Speaker 3: many people in the comments were like, Jordan Peterson isn't

673
00:34:32,280 --> 00:34:35,160
Speaker 3: a part of the manuscept he absolutely is. He's like

674
00:34:35,200 --> 00:34:39,839
Speaker 3: the king of the Manisphere. So yeah, i'd probably say

675
00:34:39,880 --> 00:34:41,520
Speaker 3: him just because he's got the most reach and.

676
00:34:41,560 --> 00:34:45,200
Speaker 2: The most influence, and he's being embraced by political figures too.

677
00:34:45,239 --> 00:34:48,480
Speaker 2: I think that's what also makes it especially dangerous. I mean, like,

678
00:34:48,560 --> 00:34:50,719
Speaker 2: you know, Andrew Tate is obviously like a scumbag, and

679
00:34:50,840 --> 00:34:54,319
Speaker 2: Violin has is like a danger to society, but like

680
00:34:54,400 --> 00:34:57,720
Speaker 2: the level to which Jordan Peterson has sort of been

681
00:34:58,120 --> 00:35:01,319
Speaker 2: you know, nodded to, or like his ideas end up

682
00:35:01,440 --> 00:35:04,399
Speaker 2: kind of like bleeding into like right wing yeah, sort

683
00:35:04,400 --> 00:35:08,080
Speaker 2: of poltical speech and things like that. Yeah, I definitely

684
00:35:08,120 --> 00:35:10,919
Speaker 2: see that because it's again, it's that PhD that sort

685
00:35:10,920 --> 00:35:13,160
Speaker 2: of takes it from Yeah, this isn't a guy wearing

686
00:35:13,160 --> 00:35:16,399
Speaker 2: a fuzzy hat in a feather boa and giant sunglasses.

687
00:35:16,719 --> 00:35:20,799
Speaker 2: This is a fucking PhD. Okay, they're saying the same thing,

688
00:35:20,880 --> 00:35:23,080
Speaker 2: but the fact that the PhD is saying, I'm going

689
00:35:23,160 --> 00:35:24,040
Speaker 2: to give that some more weight.

690
00:35:24,440 --> 00:35:26,799
Speaker 3: Yeah, Andrew Tait is also dangerous, but he's dangerous in

691
00:35:26,800 --> 00:35:30,240
Speaker 3: a much different way. But like he he only really

692
00:35:30,360 --> 00:35:33,759
Speaker 3: I think most of the guys sort of into Manisphere

693
00:35:33,800 --> 00:35:35,680
Speaker 3: ideas kind of look at Andrew Tait and think he's

694
00:35:35,680 --> 00:35:38,040
Speaker 3: a bit of an idiot. So I think his I

695
00:35:38,080 --> 00:35:40,640
Speaker 3: think his reaches is a lot. It's a lot less

696
00:35:40,640 --> 00:35:45,359
Speaker 3: widespread than Jordan Peterson's, and I think, like, especially since

697
00:35:45,400 --> 00:35:49,919
Speaker 3: the whole trafficking allegations, I think he Yeah, he will

698
00:35:49,920 --> 00:35:52,520
Speaker 3: say the opposite publicly, he will say that it's only

699
00:35:52,640 --> 00:35:55,840
Speaker 3: improved his reach, but I think it has actually diminished

700
00:35:55,880 --> 00:35:57,960
Speaker 3: his reach a little bit because there are there are

701
00:35:58,040 --> 00:36:00,279
Speaker 3: actually some guys in the Manisphere who are like, you know,

702
00:36:00,360 --> 00:36:03,400
Speaker 3: I wouldn't go so far as to traffic women actually,

703
00:36:03,520 --> 00:36:06,279
Speaker 3: so maybe he's very great jokes.

704
00:36:05,960 --> 00:36:09,200
Speaker 2: About it, but I will engage in the traffic. Yeah,

705
00:36:09,320 --> 00:36:11,840
Speaker 2: that's a bridge too far. I will make people believe

706
00:36:12,000 --> 00:36:14,600
Speaker 2: that I'm saying it not as a you know, winky way,

707
00:36:14,640 --> 00:36:16,239
Speaker 2: but yeah, yeah, yeah.

708
00:36:16,280 --> 00:36:19,480
Speaker 1: I mean he's not the only person who has like

709
00:36:19,600 --> 00:36:25,120
Speaker 1: bragged about committing assaults and you know, sexual violence in

710
00:36:25,120 --> 00:36:28,320
Speaker 1: in this world like that. That was kind of shocking

711
00:36:28,320 --> 00:36:32,680
Speaker 1: to me how many of these guys are actually saying

712
00:36:32,800 --> 00:36:37,480
Speaker 1: that they're doing horrifying things like in the videos like.

713
00:36:38,360 --> 00:36:40,719
Speaker 2: Yeah, yeah, that's how you kind of see like the

714
00:36:40,760 --> 00:36:43,600
Speaker 2: evolution of it starts off with a like keep your

715
00:36:43,680 --> 00:36:45,920
Speaker 2: room clean if you want to attract a woman, and

716
00:36:45,960 --> 00:36:50,439
Speaker 2: then turns into like why rape culture is vaporware, it's fake,

717
00:36:50,520 --> 00:36:54,600
Speaker 2: it's nonsense, and it gets more and more you know, violent,

718
00:36:54,880 --> 00:36:58,000
Speaker 2: and yeah, it's really what. The thing that really struck

719
00:36:58,040 --> 00:37:01,120
Speaker 2: me too is is kind of like it's so weird

720
00:37:01,200 --> 00:37:04,760
Speaker 2: how these Manisphere figures who are like selling a course

721
00:37:04,880 --> 00:37:09,040
Speaker 2: or whatever talk about the benefits of this mindset, of

722
00:37:09,080 --> 00:37:11,920
Speaker 2: this mindset because all of their materials they use to

723
00:37:12,000 --> 00:37:17,840
Speaker 2: sell these courses read like this fucking bizarro utopia in

724
00:37:17,920 --> 00:37:21,719
Speaker 2: some nineties movie about being the coolest guy ever, and

725
00:37:21,760 --> 00:37:24,799
Speaker 2: you putting this out in your video about the seduction

726
00:37:25,000 --> 00:37:28,719
Speaker 2: devil and his course and like what he's prompt like,

727
00:37:29,280 --> 00:37:32,520
Speaker 2: this is what he's promising people. Okay, And I thought

728
00:37:32,520 --> 00:37:34,600
Speaker 2: this was really eye opening from your video it and

729
00:37:34,680 --> 00:37:37,560
Speaker 2: this is from a Manisphere course. It's like ninety seven

730
00:37:37,600 --> 00:37:39,799
Speaker 2: bucks or some shit, And it says in just one

731
00:37:39,840 --> 00:37:44,239
Speaker 2: week across the court, it wasn't in seven In just

732
00:37:44,400 --> 00:37:47,920
Speaker 2: one week after getting inside, you'll find yourself quote skipping

733
00:37:47,960 --> 00:37:51,640
Speaker 2: the line at bars and clubs, high fiving the bouncers

734
00:37:51,800 --> 00:37:57,919
Speaker 2: and befriending the staff, okay, attracting minds and tens effortlessly

735
00:37:58,360 --> 00:38:04,600
Speaker 2: without saying oh word, holy shit, Entering a cafe with

736
00:38:04,760 --> 00:38:08,560
Speaker 2: your new girl, receiving a warm welcome, and discovering that

737
00:38:08,680 --> 00:38:11,680
Speaker 2: your regular has already been prepared.

738
00:38:12,440 --> 00:38:14,920
Speaker 1: Wow, oh my god, hey.

739
00:38:14,719 --> 00:38:17,319
Speaker 2: Jack, the regular, all right, I already had it here

740
00:38:17,320 --> 00:38:20,239
Speaker 2: for you. Whoa baller who's had another one on your arm?

741
00:38:20,320 --> 00:38:20,719
Speaker 5: All right?

742
00:38:21,600 --> 00:38:22,000
Speaker 6: My man?

743
00:38:22,360 --> 00:38:23,160
Speaker 1: Hey, hi five.

744
00:38:23,960 --> 00:38:27,560
Speaker 2: This fucking world doesn't even exist, not even for people

745
00:38:27,560 --> 00:38:29,680
Speaker 2: who they would even think are that cool. But it's

746
00:38:29,800 --> 00:38:33,600
Speaker 2: it's interesting to see how this like whatever, their lack

747
00:38:33,640 --> 00:38:37,239
Speaker 2: of meaningful social interactions or what they believe they want

748
00:38:37,280 --> 00:38:39,759
Speaker 2: to be, has created this like version of what they

749
00:38:39,800 --> 00:38:43,160
Speaker 2: think is truly like what like is what they're just

750
00:38:43,200 --> 00:38:45,560
Speaker 2: sort of telling on themselves. It's like, wait, so your

751
00:38:45,640 --> 00:38:48,480
Speaker 2: fantasy is to walk into a cafe with your new

752
00:38:48,520 --> 00:38:52,960
Speaker 2: girl and someone's like your regular, your ice, your milk

753
00:38:53,000 --> 00:38:55,240
Speaker 2: with ice is ready? Okay?

754
00:38:57,480 --> 00:38:57,760
Speaker 1: Yeah?

755
00:38:58,080 --> 00:39:01,520
Speaker 2: Out of have I drink half and half with some

756
00:39:01,800 --> 00:39:03,360
Speaker 2: little bit of ice on the rocks?

757
00:39:04,360 --> 00:39:05,240
Speaker 3: Yeah?

758
00:39:05,360 --> 00:39:05,640
Speaker 5: Yeah.

759
00:39:05,680 --> 00:39:08,920
Speaker 3: It did kind of remind me of like how the

760
00:39:09,440 --> 00:39:12,440
Speaker 3: crypto scams work in a way. I don't know if

761
00:39:12,440 --> 00:39:15,840
Speaker 3: you remember from my crypto video, the whole Crypto land

762
00:39:17,000 --> 00:39:20,120
Speaker 3: where they were like, oh you could, you could move

763
00:39:20,200 --> 00:39:24,719
Speaker 3: to this special island where everybody just trades with cryptocurrency

764
00:39:24,880 --> 00:39:29,440
Speaker 3: and and we we have communal working spaces and everybody's

765
00:39:29,440 --> 00:39:32,919
Speaker 3: going to have a lambow, and for the whole thing

766
00:39:33,040 --> 00:39:35,840
Speaker 3: was just so it was just, yeah, an absolute fantasy

767
00:39:35,880 --> 00:39:39,279
Speaker 3: based on crypto. It's not realistic at all.

768
00:39:39,400 --> 00:39:43,040
Speaker 1: But it's so depressing that their vision of utopia is

769
00:39:43,080 --> 00:39:48,000
Speaker 1: being beloved by service employees like that they like walk

770
00:39:48,040 --> 00:39:51,240
Speaker 1: in and like everyone at Starbucks.

771
00:39:50,640 --> 00:39:51,560
Speaker 8: Is like yay.

772
00:39:52,560 --> 00:39:57,960
Speaker 1: Like it's just such an interesting like snapshot of like

773
00:39:58,160 --> 00:40:04,600
Speaker 1: just dead list end stage capitalism where they're like and

774
00:40:04,640 --> 00:40:07,360
Speaker 1: then I'm gonna walk in and instead of treating me

775
00:40:07,920 --> 00:40:11,240
Speaker 1: like I'm just there to spend money. They're gonna really

776
00:40:11,320 --> 00:40:14,680
Speaker 1: love me and they're the bouncer is gonna be like

777
00:40:14,800 --> 00:40:18,239
Speaker 1: rules don't apply to you because.

778
00:40:18,000 --> 00:40:21,160
Speaker 2: They no smoking in here. Oh wait, it's you, amen,

779
00:40:21,480 --> 00:40:24,919
Speaker 2: spark up, dude, You're the best. It's like, what were

780
00:40:24,960 --> 00:40:28,840
Speaker 2: you not hearing enough in your life that created this version.

781
00:40:29,360 --> 00:40:31,160
Speaker 2: But again, I think it says a lot because a

782
00:40:31,200 --> 00:40:34,080
Speaker 2: lot of people they are lacking this, so they do

783
00:40:34,160 --> 00:40:36,200
Speaker 2: just like, oh my god, I would love nothing more

784
00:40:36,280 --> 00:40:39,960
Speaker 2: than to passively attract a partner without having to do

785
00:40:40,080 --> 00:40:42,680
Speaker 2: any work or any effort, or to have the fear

786
00:40:42,719 --> 00:40:45,440
Speaker 2: of failure of being rejected. I'd rather just feel like

787
00:40:45,520 --> 00:40:48,800
Speaker 2: a human. Yeah, yeah, exactly. I'm such a fucking baller

788
00:40:48,880 --> 00:40:52,200
Speaker 2: that my my aura is enough to bring all the

789
00:40:52,239 --> 00:40:55,040
Speaker 2: boys or women or whoever, non bind your people to

790
00:40:55,120 --> 00:40:57,399
Speaker 2: the yard. But I feel for this it's mostly had

791
00:40:57,440 --> 00:40:59,759
Speaker 2: dudes looking for women. But like, you know, we talk

792
00:40:59,840 --> 00:41:02,080
Speaker 2: a lot, a lot about deaths of despair, you know,

793
00:41:02,160 --> 00:41:04,960
Speaker 2: and how they're rising, especially here in the United States,

794
00:41:05,040 --> 00:41:09,040
Speaker 2: and it's clear that like America in this late stage

795
00:41:09,080 --> 00:41:13,600
Speaker 2: capitalism era we're in is like unraveling, and there's like

796
00:41:13,640 --> 00:41:16,319
Speaker 2: a cruel irony that like all of this manisphere shit

797
00:41:16,440 --> 00:41:18,719
Speaker 2: is like almost like this, it's like a capitalist response

798
00:41:18,840 --> 00:41:22,400
Speaker 2: to the chaos that has been sown by capitalism. It's like,

799
00:41:22,520 --> 00:41:25,719
Speaker 2: rather than in investigating any of that, it's like, let

800
00:41:25,719 --> 00:41:28,960
Speaker 2: me sell you something that is absolute nonsense that will

801
00:41:28,960 --> 00:41:32,080
Speaker 2: actually send you into a darker hole. Like, you know,

802
00:41:32,320 --> 00:41:34,960
Speaker 2: if these people were interested in making things better, there

803
00:41:35,000 --> 00:41:38,560
Speaker 2: would certainly be some more again introspection analysis of like

804
00:41:38,640 --> 00:41:41,520
Speaker 2: the forces that are shaping the world in which they live.

805
00:41:42,000 --> 00:41:44,640
Speaker 2: But it's like, the problem isn't capitalism. It's that women

806
00:41:44,680 --> 00:41:48,880
Speaker 2: are superficial and demanding too much. It's not capitalism, it's immigrants.

807
00:41:49,280 --> 00:41:51,799
Speaker 2: How do you sort of see the relationship between the

808
00:41:51,920 --> 00:41:56,520
Speaker 2: manisphere and an unwillingness to like engage in anything that

809
00:41:57,040 --> 00:42:00,719
Speaker 2: is like, what's a solution here? It's because there's really

810
00:42:00,800 --> 00:42:03,319
Speaker 2: no solution. It's more like the world's fucked up. This

811
00:42:03,360 --> 00:42:05,000
Speaker 2: is how you be more fucked up to the world.

812
00:42:06,640 --> 00:42:10,839
Speaker 3: Yeah, it's I don't I honestly like, I don't know

813
00:42:10,880 --> 00:42:13,279
Speaker 3: what the solution is other than trying to sort of

814
00:42:13,320 --> 00:42:18,239
Speaker 3: give men a different sort of outlet, because there definitely

815
00:42:18,320 --> 00:42:22,520
Speaker 3: is like a problem. I think specifically since the pandemic.

816
00:42:22,600 --> 00:42:25,640
Speaker 3: I think everyone, like not just men, are feeling a

817
00:42:25,640 --> 00:42:29,680
Speaker 3: lot more lonely right and they've been looking online for

818
00:42:30,000 --> 00:42:36,160
Speaker 3: solutions to that, and specifically with the manisphere. This sort

819
00:42:36,160 --> 00:42:40,040
Speaker 3: of gateway drug is when you look up videos on

820
00:42:40,080 --> 00:42:43,440
Speaker 3: how to talk to women to try and you know,

821
00:42:43,800 --> 00:42:46,960
Speaker 3: pick them up or whatever they get, and like when

822
00:42:47,000 --> 00:42:48,480
Speaker 3: you click on one of them, I mean that the

823
00:42:48,560 --> 00:42:50,879
Speaker 3: algorithm will just take you further and further and further

824
00:42:50,920 --> 00:42:54,520
Speaker 3: into the manisphere and until you eventually believe that women

825
00:42:54,560 --> 00:42:58,480
Speaker 3: aren't actually sentient beings at all, they're just sort of

826
00:42:58,560 --> 00:43:02,880
Speaker 3: programmed a certain way. And you'll get to the pick

827
00:43:03,000 --> 00:43:05,400
Speaker 3: up artists who will like literally give you a flow

828
00:43:05,480 --> 00:43:08,719
Speaker 3: chart and they'll say like it's like a dialogue tree

829
00:43:08,719 --> 00:43:10,239
Speaker 3: that you can have with a woman, and they'll be like,

830
00:43:10,280 --> 00:43:11,839
Speaker 3: if you say this this and this and this, then

831
00:43:11,840 --> 00:43:15,120
Speaker 3: you'll definitely get her in bed kind of thing. And

832
00:43:15,160 --> 00:43:18,719
Speaker 3: it's selling a very sort of simple, simple solution to

833
00:43:18,800 --> 00:43:22,160
Speaker 3: this very complex problem of loneliness, which I think is

834
00:43:22,200 --> 00:43:26,960
Speaker 3: a genuine problem. And I think that's exacerbated by dating

835
00:43:26,960 --> 00:43:30,719
Speaker 3: apps because everybody relies on dating apps nowadays. And I

836
00:43:31,239 --> 00:43:34,759
Speaker 3: do sympathize with men on dating apps because men have

837
00:43:34,840 --> 00:43:37,480
Speaker 3: a much worse time on dating apps than women do,

838
00:43:38,360 --> 00:43:41,600
Speaker 3: although women also do have a bad time, and that's

839
00:43:41,680 --> 00:43:45,000
Speaker 3: why they're that's why they're leaving the apps, which which

840
00:43:45,080 --> 00:43:47,919
Speaker 3: leaves more men on the apps than women, and that's

841
00:43:47,960 --> 00:43:51,600
Speaker 3: why men will swipe right more on every women that

842
00:43:51,640 --> 00:43:55,120
Speaker 3: they see and women will swipe left more because they're expecting.

843
00:43:56,040 --> 00:43:59,560
Speaker 3: Women are expecting a match with anyone that they swipe

844
00:43:59,600 --> 00:44:02,439
Speaker 3: right on right, so that will make that will cause

845
00:44:02,440 --> 00:44:06,920
Speaker 3: women to be more picky, and men are increasingly not

846
00:44:07,080 --> 00:44:09,799
Speaker 3: expecting a match with whoever they swipe right on, so

847
00:44:09,800 --> 00:44:12,359
Speaker 3: that will cause them to be less picky. And that

848
00:44:12,440 --> 00:44:14,600
Speaker 3: just happens more and more and more, and this feedback

849
00:44:14,640 --> 00:44:19,120
Speaker 3: loop just happens even more increasingly all the time, until

850
00:44:19,400 --> 00:44:22,239
Speaker 3: you get like a guy with barely any matches and

851
00:44:22,280 --> 00:44:24,239
Speaker 3: a woman with too many matches and she doesn't know

852
00:44:24,280 --> 00:44:26,480
Speaker 3: who to go on a date with, so like both

853
00:44:26,560 --> 00:44:31,840
Speaker 3: genders are having a really awful time. But but the

854
00:44:32,280 --> 00:44:35,719
Speaker 3: mistake that the Manisphere makes, and the sort of that's

855
00:44:35,800 --> 00:44:37,400
Speaker 3: the excuse that they use to bring a lot of

856
00:44:37,400 --> 00:44:39,600
Speaker 3: people in is to say that this is like real

857
00:44:39,640 --> 00:44:43,520
Speaker 3: life now because of feminism. But they've got no they've

858
00:44:43,520 --> 00:44:46,879
Speaker 3: got no proof of that other than dating apps. But

859
00:44:47,120 --> 00:44:49,960
Speaker 3: dating apps work that way for a reason because it's

860
00:44:50,000 --> 00:44:53,160
Speaker 3: not real life because women have all left. But women

861
00:44:53,200 --> 00:44:56,560
Speaker 3: haven't left real life. Women still go into like bars

862
00:44:56,600 --> 00:44:59,839
Speaker 3: and things, and you can still like women are still

863
00:44:59,840 --> 00:45:02,799
Speaker 3: in trusted in making friend groups and so amen, and

864
00:45:02,840 --> 00:45:04,279
Speaker 3: I think we need to sort of try and get

865
00:45:04,320 --> 00:45:08,400
Speaker 3: back to that sort of real life thing of mingling

866
00:45:08,480 --> 00:45:12,359
Speaker 3: in friend groups and you know, making friendships that might

867
00:45:12,360 --> 00:45:15,120
Speaker 3: turn into something else based on that, whereas I think

868
00:45:15,920 --> 00:45:19,000
Speaker 3: nowadays we sort of rely on dating apps so much

869
00:45:19,120 --> 00:45:21,960
Speaker 3: that a lot of men in the manosphere just like

870
00:45:22,080 --> 00:45:24,560
Speaker 3: think that that's real life and that's.

871
00:45:24,440 --> 00:45:26,960
Speaker 2: Right based on the behaviors that they see or how

872
00:45:27,120 --> 00:45:28,839
Speaker 2: yeah things are being sorted. Yeah, yeah.

873
00:45:28,840 --> 00:45:34,320
Speaker 1: A lot of it seems to be inter human relations

874
00:45:34,400 --> 00:45:38,920
Speaker 1: that are mediated by capitalists, you know, yeah, the dating

875
00:45:38,960 --> 00:45:43,520
Speaker 1: app profiles or the person who fantasizes about everybody in

876
00:45:43,560 --> 00:45:46,600
Speaker 1: the bar who works at the bar liking them, and

877
00:45:47,200 --> 00:45:51,440
Speaker 1: it just feels like everyone's turned into our product, Like

878
00:45:51,480 --> 00:45:55,479
Speaker 1: this is all part of this weird thing where we're

879
00:45:55,520 --> 00:45:59,640
Speaker 1: trying to apply the rules of capitalism, like late stage

880
00:45:59,719 --> 00:46:03,600
Speaker 1: hyper capitalism to interactions and then we're like what happened?

881
00:46:03,640 --> 00:46:04,320
Speaker 2: Why is everybody?

882
00:46:04,360 --> 00:46:04,440
Speaker 8: So?

883
00:46:04,719 --> 00:46:06,920
Speaker 3: Yeah, it's like it's the same way that we ruined

884
00:46:07,120 --> 00:46:10,360
Speaker 3: sort of like restaurants with all of these food delivery apps,

885
00:46:10,400 --> 00:46:12,640
Speaker 3: and it's the same way that we ruined all of

886
00:46:12,640 --> 00:46:15,719
Speaker 3: these taxi companies with uber is because they tried to

887
00:46:16,000 --> 00:46:20,040
Speaker 3: like lays a fair capitalism all of these all of

888
00:46:20,080 --> 00:46:24,080
Speaker 3: these companies and all of these industries and they tried

889
00:46:24,080 --> 00:46:27,319
Speaker 3: to completely libertarianize them all. And they've done the same

890
00:46:27,360 --> 00:46:29,640
Speaker 3: with dating as well. And they've and then they've sort

891
00:46:29,680 --> 00:46:32,040
Speaker 3: of realized that, oh, this is this isn't actually good

892
00:46:32,080 --> 00:46:32,879
Speaker 3: for people? Is it?

893
00:46:32,960 --> 00:46:33,040
Speaker 4: Like?

894
00:46:33,160 --> 00:46:33,879
Speaker 3: Doing it like this?

895
00:46:34,400 --> 00:46:36,319
Speaker 1: Let's take one more break and we'll come back and

896
00:46:36,400 --> 00:46:37,440
Speaker 1: finish out talking about this.

897
00:46:37,520 --> 00:46:38,360
Speaker 2: We'll be right back.

898
00:46:48,520 --> 00:46:50,359
Speaker 1: And we're back.

899
00:46:49,560 --> 00:46:53,359
Speaker 2: We're we're back, all right.

900
00:46:53,400 --> 00:46:57,200
Speaker 13: There is this article in what was it in, I

901
00:46:57,200 --> 00:47:00,399
Speaker 13: don't know, Apple News, so it's one of the order,

902
00:47:00,880 --> 00:47:03,239
Speaker 13: probably a Hollywood reporter, one of those places that makes

903
00:47:03,239 --> 00:47:06,000
Speaker 13: you subscribe or you can get it through Apple News, but.

904
00:47:06,560 --> 00:47:10,440
Speaker 1: The headline is Hollywood Nightmare. New streaming service lets viewers

905
00:47:10,520 --> 00:47:14,040
Speaker 1: create their own shows using AI, and the promise is

906
00:47:14,080 --> 00:47:19,279
Speaker 1: the generative artificial intelligence, the auto complete thing that chat

907
00:47:19,320 --> 00:47:22,080
Speaker 1: GPT does is coming for streaming with the release of

908
00:47:22,080 --> 00:47:25,759
Speaker 1: a platform dedicated to AI content that allows users to

909
00:47:25,800 --> 00:47:29,560
Speaker 1: create episodes with a prompt of just a couple of words.

910
00:47:30,360 --> 00:47:32,839
Speaker 2: Oh wow, what would those words be?

911
00:47:33,320 --> 00:47:36,880
Speaker 1: That you think you would get a good show out.

912
00:47:36,680 --> 00:47:39,120
Speaker 9: Of step Mom bubs?

913
00:47:39,239 --> 00:47:39,479
Speaker 3: Right?

914
00:47:39,880 --> 00:47:43,480
Speaker 1: Yeah, Like that makes sense to me if you're telling.

915
00:47:47,280 --> 00:47:48,080
Speaker 9: What's gonna happen?

916
00:47:48,640 --> 00:47:50,799
Speaker 1: And sure like that if you told me that, I'd

917
00:47:50,840 --> 00:47:53,279
Speaker 1: be like, I bet that would be pretty popular. But

918
00:47:53,360 --> 00:47:58,960
Speaker 1: like creating long form entertainment that like competes with Netflix

919
00:47:59,480 --> 00:48:02,759
Speaker 1: just likes, I don't, like, I don't even know how

920
00:48:02,800 --> 00:48:07,040
Speaker 1: they think that's going to work. And like what So

921
00:48:07,120 --> 00:48:11,080
Speaker 1: I read the article and the example. I was like,

922
00:48:11,120 --> 00:48:13,239
Speaker 1: do they have like an example that we can look at?

923
00:48:13,560 --> 00:48:17,279
Speaker 8: And they have this south Park deep fake that is

924
00:48:18,280 --> 00:48:22,160
Speaker 8: so it's just a South Park episode without jokes and

925
00:48:22,320 --> 00:48:25,480
Speaker 8: where the characters instead of like doing anything, just like

926
00:48:25,560 --> 00:48:28,799
Speaker 8: kind of stand in a hallway and say lines toward

927
00:48:28,920 --> 00:48:29,440
Speaker 8: the camera.

928
00:48:30,000 --> 00:48:30,200
Speaker 2: Yeah.

929
00:48:30,200 --> 00:48:33,200
Speaker 1: But it's and like they sound like all the South

930
00:48:33,239 --> 00:48:37,080
Speaker 1: Park characters sound like tech bros. Like the questions are

931
00:48:37,160 --> 00:48:38,560
Speaker 1: like they're they don't.

932
00:48:38,440 --> 00:48:40,560
Speaker 2: I mean, all the voices are just like it all

933
00:48:40,600 --> 00:48:44,920
Speaker 2: sounds like yeah, just but like even the nuances between

934
00:48:44,960 --> 00:48:48,160
Speaker 2: the characters. They talk like tech bros in this thing, right,

935
00:48:48,239 --> 00:48:50,480
Speaker 2: It's like you literally pick, like who's the hero of

936
00:48:50,520 --> 00:48:53,240
Speaker 2: the episode, which characters do you want in the episode?

937
00:48:53,280 --> 00:48:56,920
Speaker 2: And then what's your prompt? This one says Cartman heard

938
00:48:56,960 --> 00:49:00,200
Speaker 2: of the screen actors guild strike and blah blah blah

939
00:49:00,280 --> 00:49:02,560
Speaker 2: blah blah. So this is what the shit sounds like.

940
00:49:02,920 --> 00:49:04,080
Speaker 3: That's ridiculous, Cartman.

941
00:49:04,600 --> 00:49:06,759
Speaker 14: Is it ridiculous or is it so ridiculous that it

942
00:49:06,840 --> 00:49:10,439
Speaker 14: just might work? No, it's definitely just ridiculous. Well, then

943
00:49:10,600 --> 00:49:12,240
Speaker 14: I guess you guys won't want to cut the profits.

944
00:49:12,239 --> 00:49:15,040
Speaker 14: When Queepy takes off more for me, then there won't

945
00:49:15,080 --> 00:49:17,719
Speaker 14: be any profits. Krtman, you're going to get sued, not

946
00:49:17,800 --> 00:49:19,759
Speaker 14: if they can't prove it. Now, if you'll excuse me,

947
00:49:19,960 --> 00:49:21,879
Speaker 14: I have a deep fake streaming empire to build.

948
00:49:22,280 --> 00:49:25,360
Speaker 1: Yeah, uh huh so, and then cut to next scene

949
00:49:25,520 --> 00:49:31,000
Speaker 1: where they're just delivering lines like I'm just repeating the

950
00:49:31,040 --> 00:49:33,560
Speaker 1: same premise over and over again. And then they like

951
00:49:34,480 --> 00:49:37,719
Speaker 1: they've seen episodes of South Park before, so they're like

952
00:49:37,800 --> 00:49:40,000
Speaker 1: and then Tom Cruise makes a cameo, but like he

953
00:49:40,040 --> 00:49:44,160
Speaker 1: doesn't do like there's no content, there's like no ideas

954
00:49:44,200 --> 00:49:47,719
Speaker 1: in it, there's no jokes in it. It's just like

955
00:49:47,840 --> 00:49:52,480
Speaker 1: wait form inform a South Park episode?

956
00:49:52,640 --> 00:49:56,959
Speaker 9: Are they taking so you can write your own quote

957
00:49:57,040 --> 00:50:00,719
Speaker 9: unquote write your own shows? But it's is it all

958
00:50:00,760 --> 00:50:04,400
Speaker 9: through existing ip It's not even like they generate new

959
00:50:05,040 --> 00:50:07,480
Speaker 9: characters that look like you or anything like that.

960
00:50:07,600 --> 00:50:10,840
Speaker 2: I think this is just like a demonstration of just

961
00:50:10,880 --> 00:50:16,400
Speaker 2: like demontration. Yeah how but I think the far out version,

962
00:50:16,840 --> 00:50:19,520
Speaker 2: the far out version will be like I want to

963
00:50:19,600 --> 00:50:24,600
Speaker 2: see a like Steve McQueen esque movie where my uncle

964
00:50:25,080 --> 00:50:27,640
Speaker 2: is the getaway drive, you know, like that kind of shit.

965
00:50:27,719 --> 00:50:30,000
Speaker 2: I think is what they they're trying to say is

966
00:50:30,080 --> 00:50:32,879
Speaker 2: the fucking future. But I think again, the only ship

967
00:50:32,960 --> 00:50:35,000
Speaker 2: that this stuff is good for is like playing around,

968
00:50:35,040 --> 00:50:37,719
Speaker 2: not like real creative shit. So I think porn is

969
00:50:37,760 --> 00:50:40,560
Speaker 2: probably the thing that would get the most use out

970
00:50:40,600 --> 00:50:42,840
Speaker 2: of it because in a way, like it's you're trying

971
00:50:42,880 --> 00:50:45,960
Speaker 2: to externalize your fantasies in some way people don't know

972
00:50:46,000 --> 00:50:46,239
Speaker 2: how to.

973
00:50:46,560 --> 00:50:50,640
Speaker 1: Everyone knows a storm like just very functional, right, It's

974
00:50:50,640 --> 00:50:53,560
Speaker 1: not like you're trying to have the subtlety of like

975
00:50:53,760 --> 00:50:57,840
Speaker 1: art with commentary or anything like that, you know, Yeah.

976
00:50:57,760 --> 00:51:00,600
Speaker 2: Yeah, yeah, I mean again, Like I think hopefully, if anything,

977
00:51:00,680 --> 00:51:03,160
Speaker 2: this helps people understand like, man, I don't know how

978
00:51:03,160 --> 00:51:05,319
Speaker 2: to fucking make anything, dude, Like I tried to make

979
00:51:05,360 --> 00:51:07,879
Speaker 2: a cool show with the fucking AI, and I like, man,

980
00:51:07,960 --> 00:51:09,200
Speaker 2: fucking I'm back.

981
00:51:09,320 --> 00:51:09,520
Speaker 6: Yeah.

982
00:51:09,880 --> 00:51:13,719
Speaker 9: If everyone realizes they're out of their league, they they

983
00:51:14,040 --> 00:51:16,800
Speaker 9: keep graphic designing or whatever.

984
00:51:17,239 --> 00:51:19,520
Speaker 1: Right, I recommend everybody. Why well, we'll link off to

985
00:51:19,560 --> 00:51:23,640
Speaker 1: the south Park episode. It's worth like forcing yourself through

986
00:51:23,760 --> 00:51:26,480
Speaker 1: five minutes of it just to like get a sense

987
00:51:26,760 --> 00:51:31,760
Speaker 1: of because I feel like it really illustrates the people

988
00:51:31,840 --> 00:51:34,480
Speaker 1: who are doing this and like what they think is

989
00:51:34,680 --> 00:51:40,760
Speaker 1: cool and just how depressing and like bereft of any soul.

990
00:51:41,200 --> 00:51:44,000
Speaker 1: Like it is like not that South Park is like

991
00:51:44,080 --> 00:51:48,120
Speaker 1: this soulful thing, but it's just it really is wild.

992
00:51:48,200 --> 00:51:51,320
Speaker 1: Like it's hard. It's hard to describe, but it will

993
00:51:52,360 --> 00:51:55,719
Speaker 1: make you want to do a hard reset with.

994
00:51:55,800 --> 00:51:59,320
Speaker 2: A they're a gun, They're a gun on your temple? Yeah,

995
00:51:59,760 --> 00:52:01,479
Speaker 2: really get it out the.

996
00:52:01,520 --> 00:52:04,279
Speaker 1: Uh So you're never gonna guess which actor does not

997
00:52:04,480 --> 00:52:08,480
Speaker 1: seem to appreciate the limits of AI. That's right, it

998
00:52:08,560 --> 00:52:12,919
Speaker 1: is Ashton Kutcher. He recently made headlines after sitting down

999
00:52:12,960 --> 00:52:16,240
Speaker 1: with Google CEO Eric Schmidt and extolling the virtues of AI.

1000
00:52:17,000 --> 00:52:20,800
Speaker 1: He specifically heaped praise on generative text to video AI

1001
00:52:20,960 --> 00:52:24,839
Speaker 1: tools such as open Ai Sora, which we we've talked

1002
00:52:24,840 --> 00:52:28,120
Speaker 1: about Sora before. It's the one that like creates weird, trippy,

1003
00:52:29,040 --> 00:52:32,640
Speaker 1: very creepy video clips, like it's getting better.

1004
00:52:32,760 --> 00:52:36,759
Speaker 2: See the new one the guy was eating Ramen and loot. Yeah, yeah, yeah,

1005
00:52:36,760 --> 00:52:38,399
Speaker 2: hell yeah. They got the noodles down.

1006
00:52:38,719 --> 00:52:42,239
Speaker 1: And it did that by ingesting like all of YouTube illegally,

1007
00:52:42,719 --> 00:52:46,879
Speaker 1: Like they just took everything off YouTube and like put

1008
00:52:46,920 --> 00:52:52,279
Speaker 1: it into this you know, generative engine.

1009
00:52:50,920 --> 00:52:56,320
Speaker 2: I mean, yeah, if you asked the chief technical officer

1010
00:52:56,400 --> 00:52:59,279
Speaker 2: of so they asked. Someone did ask the CTO of

1011
00:52:59,360 --> 00:53:02,600
Speaker 2: this company, and she was like, huh, you know, I

1012
00:53:02,640 --> 00:53:08,880
Speaker 2: don't actually know. It's amazing because like this journalist from

1013
00:53:08,880 --> 00:53:10,839
Speaker 2: the Wall Street Journal like made a prompt like a

1014
00:53:10,880 --> 00:53:13,960
Speaker 2: mermaid thing with a crab in it, but the crab

1015
00:53:14,440 --> 00:53:18,000
Speaker 2: literally had a mustache like on SpongeBob. And she's like, hmm,

1016
00:53:18,640 --> 00:53:21,600
Speaker 2: I feel like this isn't wholly original because I've seen

1017
00:53:21,640 --> 00:53:25,000
Speaker 2: a depiction of a crab like this elsewhere. So that's

1018
00:53:25,120 --> 00:53:27,439
Speaker 2: what got her to ask the question, Claire, They're coming

1019
00:53:27,480 --> 00:53:31,359
Speaker 2: for your paycheck, you know, at least by residuals. Yeah,

1020
00:53:31,400 --> 00:53:34,080
Speaker 2: well here she is defending you know what, don't worry

1021
00:53:34,080 --> 00:53:35,879
Speaker 2: because it's not I don't know if we did. Maybe

1022
00:53:35,880 --> 00:53:36,879
Speaker 2: we did. I don't know what.

1023
00:53:36,920 --> 00:53:38,680
Speaker 4: Data was used to train SOA.

1024
00:53:39,680 --> 00:53:43,680
Speaker 10: We used publicly available data and licensed data.

1025
00:53:44,680 --> 00:53:52,520
Speaker 4: So videos on YouTube, look at that face, Just videos

1026
00:53:52,560 --> 00:53:57,239
Speaker 4: from Facebook, Instagram, you.

1027
00:53:57,200 --> 00:54:03,239
Speaker 10: Know, if they were publicly available available, publicly available to s,

1028
00:54:04,640 --> 00:54:08,759
Speaker 10: there might be the data. But I'm not sure. I'm

1029
00:54:08,800 --> 00:54:09,759
Speaker 10: not confident about it.

1030
00:54:09,880 --> 00:54:12,200
Speaker 4: What about Shutterstock? I know you guys have a deal

1031
00:54:12,239 --> 00:54:14,560
Speaker 4: with them.

1032
00:54:14,600 --> 00:54:16,400
Speaker 10: I'm just not going to go into the details of

1033
00:54:16,719 --> 00:54:19,680
Speaker 10: the data that was that was used. But it was

1034
00:54:19,680 --> 00:54:21,560
Speaker 10: publicly available or licensed data?

1035
00:54:21,920 --> 00:54:26,359
Speaker 2: Yeah, why the fuck am I on trial right now? Well?

1036
00:54:26,520 --> 00:54:26,839
Speaker 2: Was it?

1037
00:54:27,000 --> 00:54:30,160
Speaker 12: That's the most why do they get the most basic

1038
00:54:30,480 --> 00:54:34,120
Speaker 12: question about an AI think is like there's an input

1039
00:54:34,400 --> 00:54:37,000
Speaker 12: and then an output, and they're like, why are you

1040
00:54:37,040 --> 00:54:38,320
Speaker 12: asking me about the input?

1041
00:54:38,440 --> 00:54:45,319
Speaker 2: Yeah, you're the CTO And you're like, ah, so, well,

1042
00:54:45,360 --> 00:54:48,320
Speaker 2: don't you said videos on YouTube? And her mouth literally.

1043
00:54:48,200 --> 00:54:53,880
Speaker 6: Went yeah, you got in a fucking four game.

1044
00:54:54,160 --> 00:54:57,759
Speaker 2: Damn, what are you doing? And then to end that

1045
00:54:57,800 --> 00:54:59,560
Speaker 2: with you know, I'm actually not going to talk about

1046
00:54:59,560 --> 00:55:03,320
Speaker 2: this wo stellar defense. You know what, I actually didn't

1047
00:55:03,320 --> 00:55:03,960
Speaker 2: even think about that.

1048
00:55:04,080 --> 00:55:07,239
Speaker 1: Huh, where does the video come from? I just paid

1049
00:55:07,280 --> 00:55:09,640
Speaker 1: attention to like what came out of it. But yeah,

1050
00:55:09,640 --> 00:55:12,520
Speaker 1: you're right, there must be something going in. It's like

1051
00:55:12,600 --> 00:55:15,200
Speaker 1: you're the chief technical officer.

1052
00:55:15,600 --> 00:55:18,760
Speaker 2: Yeah, yeah, they need a better they need better liars

1053
00:55:18,800 --> 00:55:21,000
Speaker 2: in here. Like it's so weird that she thought, just

1054
00:55:21,000 --> 00:55:22,799
Speaker 2: say you didn't do it.

1055
00:55:23,920 --> 00:55:27,920
Speaker 9: Bring back bring back the Sarahnos lady, right, are you

1056
00:55:28,080 --> 00:55:29,560
Speaker 9: not a powerful millionaire?

1057
00:55:29,800 --> 00:55:31,759
Speaker 1: Just lie and say you didn't do it.

1058
00:55:32,160 --> 00:55:34,520
Speaker 2: Don't you know how these grifts go. You gotta lie

1059
00:55:34,680 --> 00:55:37,080
Speaker 2: all the way to the end until people going damn,

1060
00:55:37,160 --> 00:55:39,440
Speaker 2: all that shit was a lie. But I guess, I mean,

1061
00:55:39,440 --> 00:55:41,640
Speaker 2: maybe they are making it easier for us to be

1062
00:55:41,640 --> 00:55:44,120
Speaker 2: a little more discerning, because when you do interviews like this,

1063
00:55:44,360 --> 00:55:46,440
Speaker 2: it just makes them look so fucking bad.

1064
00:55:47,360 --> 00:55:50,560
Speaker 1: So Ashton Kutcher was like, it's gonna it's gonna make

1065
00:55:50,920 --> 00:55:53,399
Speaker 1: footage you could ease, you'll easily use in a major

1066
00:55:53,480 --> 00:55:56,759
Speaker 1: motion picture, a television show, like specifically, I think he

1067
00:55:56,880 --> 00:56:00,719
Speaker 1: was referencing like establishing shots like outside. He's like, we're

1068
00:56:01,120 --> 00:56:03,759
Speaker 1: not gonna need people to actually we're not gonna need

1069
00:56:03,840 --> 00:56:07,080
Speaker 1: artists to need that shit unit. I'm just gonna invent

1070
00:56:07,560 --> 00:56:09,920
Speaker 1: things and that does seem like a thing that it

1071
00:56:10,080 --> 00:56:16,080
Speaker 1: could do, actually, and that sucks. That's fucking terrible. And

1072
00:56:16,160 --> 00:56:18,920
Speaker 1: instead of that being terrible, he's like, no, this is

1073
00:56:18,960 --> 00:56:21,800
Speaker 1: the future. What you better get on board. But people

1074
00:56:21,800 --> 00:56:24,840
Speaker 1: are also pointing out also, I like this Lene. Someone

1075
00:56:24,960 --> 00:56:27,600
Speaker 1: was like, yeah, I think that Sara might be able

1076
00:56:27,640 --> 00:56:30,640
Speaker 1: to make an Ashton Kutcher movie, but not like a

1077
00:56:32,680 --> 00:56:37,840
Speaker 1: necessarily a Sean O'Connor. Yeah, And then so he defended

1078
00:56:37,880 --> 00:56:40,800
Speaker 1: himself on Twitter saying, Hollywood ignoring this is just gonna

1079
00:56:40,800 --> 00:56:44,600
Speaker 1: like be catastrophic for everybody. It's like, no, what the

1080
00:56:44,600 --> 00:56:48,279
Speaker 1: fuck are people who like righte Like, what are the creatives,

1081
00:56:48,320 --> 00:56:51,320
Speaker 1: like the ninety eight percent of the people in Hollywood,

1082
00:56:51,400 --> 00:56:54,000
Speaker 1: what the fuck are they supposed to do with this?

1083
00:56:54,520 --> 00:56:58,360
Speaker 1: You know, this is just a thing that matters to

1084
00:56:58,400 --> 00:57:02,480
Speaker 1: the like executive who are trying to like cut the

1085
00:57:02,520 --> 00:57:05,160
Speaker 1: bottom line, like the people that he hangs out with,

1086
00:57:05,480 --> 00:57:09,440
Speaker 1: Like what is the DP who like does the establishing

1087
00:57:09,440 --> 00:57:11,480
Speaker 1: shots for a film, Like, what the fuck is he

1088
00:57:11,560 --> 00:57:13,440
Speaker 1: supposed to do with this information?

1089
00:57:13,600 --> 00:57:13,680
Speaker 4: That?

1090
00:57:13,840 --> 00:57:19,160
Speaker 1: Like, and you've been replaced by a fucking AI software.

1091
00:57:18,720 --> 00:57:20,680
Speaker 2: You should up your game. So a director wants you

1092
00:57:20,720 --> 00:57:23,440
Speaker 2: to be the main director of photography and that's you're

1093
00:57:23,480 --> 00:57:23,920
Speaker 2: not stuck.

1094
00:57:25,520 --> 00:57:28,560
Speaker 9: Yeah, Earlier this spear.

1095
00:57:28,760 --> 00:57:30,520
Speaker 2: Ship where they're like, if they ignored it's going to

1096
00:57:30,560 --> 00:57:32,959
Speaker 2: be catastrophic. Like is that a threat? They're like, because

1097
00:57:32,960 --> 00:57:35,520
Speaker 2: you know once AI comes then they're gonna get mad

1098
00:57:35,520 --> 00:57:39,040
Speaker 2: at you for ignoring it, or that it's gonna somehow revolution.

1099
00:57:39,160 --> 00:57:41,560
Speaker 2: I like, I get that they're trying to say it's

1100
00:57:41,600 --> 00:57:44,120
Speaker 2: a tool, but then when they also say shit like

1101
00:57:44,160 --> 00:57:45,760
Speaker 2: you know jobs are going to change, we need to

1102
00:57:45,760 --> 00:57:48,160
Speaker 2: be prepared, and you're not following that up with something

1103
00:57:48,240 --> 00:57:51,520
Speaker 2: actually radical about the nature of work, then shut the

1104
00:57:51,600 --> 00:57:53,320
Speaker 2: fuck up about this. Well.

1105
00:57:53,800 --> 00:57:56,040
Speaker 1: So the thing that I think the bait and switch

1106
00:57:56,120 --> 00:57:59,200
Speaker 1: they're trying to pull off the executive class here is

1107
00:57:59,600 --> 00:58:03,120
Speaker 1: there you using somebody who is like nominally an actor,

1108
00:58:03,520 --> 00:58:07,080
Speaker 1: who is actually like a media executive. He has a

1109
00:58:07,160 --> 00:58:10,080
Speaker 1: venture capital firm, cool Sounder.

1110
00:58:09,800 --> 00:58:11,280
Speaker 2: Centures, your sound Ventures.

1111
00:58:11,360 --> 00:58:14,520
Speaker 1: Yeah, he was able to start it in twenty fifteen

1112
00:58:14,600 --> 00:58:19,840
Speaker 1: when with nothing more than his beautiful face, his business talents,

1113
00:58:20,280 --> 00:58:22,919
Speaker 1: and one hundred million dollars from Liberty Media.

1114
00:58:22,960 --> 00:58:26,000
Speaker 2: Oh which, oh, oh, Libertal Group at all yeah.

1115
00:58:25,840 --> 00:58:29,240
Speaker 1: So he's like a media investor, and that's where this

1116
00:58:29,320 --> 00:58:33,120
Speaker 1: is coming from. He's just trying to do the work

1117
00:58:33,200 --> 00:58:35,880
Speaker 1: of being like, guys, this is nothing to fear. This

1118
00:58:35,960 --> 00:58:39,400
Speaker 1: is the future, and it's gonna make sick shit.

1119
00:58:40,120 --> 00:58:42,080
Speaker 2: Dude, Like you don't you don't have you don't even

1120
00:58:42,120 --> 00:58:45,560
Speaker 2: have the discerning abilities to know that Danny Masterson was

1121
00:58:45,640 --> 00:58:47,560
Speaker 2: a piece of shit. For how the fuck am I

1122
00:58:47,640 --> 00:58:52,680
Speaker 2: supposed to be? Like, yeah, dude, what about this technology stuff, Pashton,

1123
00:58:53,120 --> 00:58:56,920
Speaker 2: Because like you said that Sound Ventures has like a

1124
00:58:56,920 --> 00:58:59,880
Speaker 2: two hundred and forty million dollar AI fund, so there's

1125
00:59:00,120 --> 00:59:03,080
Speaker 2: so they're so deep in on this shit. And this

1126
00:59:03,120 --> 00:59:05,520
Speaker 2: is the thing, man, every time Kutcher starts opening his

1127
00:59:05,640 --> 00:59:08,840
Speaker 2: mouth about technology, you have to presume it's a grift

1128
00:59:08,920 --> 00:59:11,360
Speaker 2: because he was doing this with Crypto too, Like this

1129
00:59:11,480 --> 00:59:14,080
Speaker 2: isn't this is like his new thing, like he likes

1130
00:59:14,120 --> 00:59:16,560
Speaker 2: to be like, oh man, these NFTs are fucking sick. Man.

1131
00:59:16,560 --> 00:59:18,640
Speaker 2: They're gonna make this new show called Stoner Cats or

1132
00:59:18,720 --> 00:59:21,400
Speaker 2: like doing funny videos with like the creator of like

1133
00:59:21,440 --> 00:59:22,880
Speaker 2: Ethereum and trying to make.

1134
00:59:23,080 --> 00:59:24,880
Speaker 15: Like yeah, dude, we're just like out here just like

1135
00:59:25,560 --> 00:59:27,960
Speaker 15: trying to figure out what this stuff is and he

1136
00:59:27,960 --> 00:59:30,560
Speaker 15: he made a donation to Ellen like a charity that

1137
00:59:30,600 --> 00:59:33,960
Speaker 15: she was running, like but as a crypto donation to

1138
00:59:34,080 --> 00:59:35,440
Speaker 15: bring more eyeballs onto it.

1139
00:59:35,480 --> 00:59:39,200
Speaker 2: So everything he does is about propping up his own investments.

1140
00:59:39,600 --> 00:59:44,560
Speaker 1: Yeah, but it's yeah, I mean he's like all these

1141
00:59:44,880 --> 00:59:48,880
Speaker 1: a lot of these famous people like get rich and famous,

1142
00:59:48,920 --> 00:59:52,560
Speaker 1: and then the people they hang out with are other

1143
00:59:52,800 --> 00:59:56,120
Speaker 1: like media executives and like other millionaires, and so they're

1144
00:59:56,200 --> 00:59:59,240
Speaker 1: just going to think all this shit is cool and

1145
00:59:59,320 --> 01:00:02,280
Speaker 1: like think thought that like those people are putting in

1146
01:00:02,280 --> 01:00:02,760
Speaker 1: their heads.

1147
01:00:02,960 --> 01:00:05,840
Speaker 2: But yeah, I mean this is this. This is the

1148
01:00:05,880 --> 01:00:08,160
Speaker 2: thing that keeps going is like you know, the New

1149
01:00:08,240 --> 01:00:11,120
Speaker 2: York Times is embroiled in a lawsuit because they're like,

1150
01:00:11,840 --> 01:00:14,720
Speaker 2: I'm pretty sure you're probably skimming our articles to train

1151
01:00:14,840 --> 01:00:19,160
Speaker 2: some of this ship. And yeah, many industries are like no,

1152
01:00:19,440 --> 01:00:22,240
Speaker 2: like you keep saying you're skimming the internet like to

1153
01:00:22,320 --> 01:00:24,240
Speaker 2: train these things. So how the fuck could it not

1154
01:00:24,520 --> 01:00:26,880
Speaker 2: you You're you're constantly going like, oh, not that that's

1155
01:00:26,960 --> 01:00:29,440
Speaker 2: copyright and like the way that even that CTO was

1156
01:00:29,480 --> 01:00:33,240
Speaker 2: like I believe it's publicly available, Like what do you

1157
01:00:33,280 --> 01:00:35,400
Speaker 2: mean that you can just access it? Or they're saying

1158
01:00:35,400 --> 01:00:38,400
Speaker 2: that the licensing. It's it's available for any kind of

1159
01:00:38,480 --> 01:00:41,680
Speaker 2: use to the public, and it was available.

1160
01:00:41,200 --> 01:00:43,240
Speaker 1: To me, and that I just like went in and

1161
01:00:43,480 --> 01:00:44,640
Speaker 1: fucking hacked that ship.

1162
01:00:44,680 --> 01:00:48,240
Speaker 2: And yeah, I used YouTube downloader and you got it off,

1163
01:00:48,520 --> 01:00:48,760
Speaker 2: not me.

1164
01:00:48,920 --> 01:00:51,520
Speaker 9: I can't. I can't pay the pass the paywall. I

1165
01:00:51,560 --> 01:00:55,400
Speaker 9: only get the first four cents of article. I don't

1166
01:00:55,400 --> 01:00:58,840
Speaker 9: really know what you guys are talking. I get always

1167
01:00:58,880 --> 01:01:01,840
Speaker 9: tant to get the gist. Yeah, I wonder what will

1168
01:01:01,840 --> 01:01:04,360
Speaker 9: happen when this comes back to bite Ashton in the

1169
01:01:04,720 --> 01:01:08,000
Speaker 9: in his sweet little ass and there's a video that

1170
01:01:08,080 --> 01:01:11,520
Speaker 9: comes out of him, like fucking a pig's head or something, right,

1171
01:01:13,040 --> 01:01:16,120
Speaker 9: AI generated Yeah, yeah, exactly.

1172
01:01:16,280 --> 01:01:20,080
Speaker 1: And then issue and AI generated half hearted apology video

1173
01:01:20,200 --> 01:01:25,800
Speaker 1: in front of the wooden wall. Yeah, with a wrinkley

1174
01:01:25,920 --> 01:01:29,080
Speaker 1: T shirt, looking like he hasn't slept in a while.

1175
01:01:29,560 --> 01:01:31,520
Speaker 9: I guess it's forever the circle.

1176
01:01:32,080 --> 01:01:32,280
Speaker 2: Yeah.

1177
01:01:32,320 --> 01:01:35,080
Speaker 1: Do you think before that apology video they had like

1178
01:01:35,440 --> 01:01:37,920
Speaker 1: a make up like a person come in and like

1179
01:01:38,080 --> 01:01:39,640
Speaker 1: make them look disheveled.

1180
01:01:40,800 --> 01:01:40,880
Speaker 4: No.

1181
01:01:41,040 --> 01:01:43,800
Speaker 2: I think they're both actors enough that they I think

1182
01:01:43,800 --> 01:01:46,680
Speaker 2: they're have enough savvy. Yeah, because they had like these

1183
01:01:46,720 --> 01:01:49,200
Speaker 2: like poor poor us faces on.

1184
01:01:49,600 --> 01:01:53,200
Speaker 1: They look like smelled bad, you know, because you're sot.

1185
01:01:53,440 --> 01:01:54,880
Speaker 2: I mean that is a good point. Yeah, I mean

1186
01:01:54,880 --> 01:01:57,400
Speaker 2: like in a way I could smell the stress sweat. Yeah,

1187
01:01:57,520 --> 01:02:01,320
Speaker 2: through the computer screen for that feel like I feel

1188
01:02:01,320 --> 01:02:03,280
Speaker 2: like they have their hair and makeup person come through

1189
01:02:03,560 --> 01:02:05,520
Speaker 2: and be like, but like this time, like make us

1190
01:02:05,560 --> 01:02:08,400
Speaker 2: look like shit, like make it like make us down.

1191
01:02:08,960 --> 01:02:09,280
Speaker 1: Okay.

1192
01:02:09,280 --> 01:02:12,160
Speaker 2: Then I would say, I would say, you don't need me.

1193
01:02:12,320 --> 01:02:14,120
Speaker 2: If you want to look like shit, I would say,

1194
01:02:14,240 --> 01:02:15,560
Speaker 2: don't put any makeup.

1195
01:02:15,800 --> 01:02:19,080
Speaker 9: It's that no makeup, makeup. Look, yeah, I'm doing it.

1196
01:02:19,280 --> 01:02:19,560
Speaker 13: Yeah.

1197
01:02:19,600 --> 01:02:21,480
Speaker 2: They're like hydrated.

1198
01:02:21,720 --> 01:02:21,959
Speaker 16: Yeah.

1199
01:02:22,240 --> 01:02:23,800
Speaker 2: Yeah, oh that's good.

1200
01:02:23,840 --> 01:02:24,280
Speaker 8: That's good.

1201
01:02:24,440 --> 01:02:25,200
Speaker 2: Dehydrated.

1202
01:02:25,600 --> 01:02:27,720
Speaker 1: I mean I'm not gonna get dehydrated because that could

1203
01:02:27,760 --> 01:02:29,600
Speaker 1: totally fuck up pH levels.

1204
01:02:29,880 --> 01:02:32,360
Speaker 2: Yeah. But actually that reminds you. I need to drink

1205
01:02:32,360 --> 01:02:34,520
Speaker 2: a gallon of alkaline water right now. Yeah, you bring

1206
01:02:34,560 --> 01:02:35,720
Speaker 2: it over, bring it over, bring it over now. And

1207
01:02:35,760 --> 01:02:37,120
Speaker 2: I'm fucking freaking out. I'm freaking out.

1208
01:02:38,920 --> 01:02:41,960
Speaker 1: Not always the best stories you hear behind the scenes

1209
01:02:42,000 --> 01:02:44,920
Speaker 1: about the ash Man, But that's all. That's all I

1210
01:02:45,000 --> 01:02:48,600
Speaker 1: say about that. The Tribeca Film Festival also getting in

1211
01:02:48,680 --> 01:02:52,480
Speaker 1: on the whole thing with some Sora shorts, which are

1212
01:02:52,520 --> 01:02:55,760
Speaker 1: short films created by chat GPT's like video thing.

1213
01:02:56,400 --> 01:02:59,120
Speaker 2: What a fucking slap in the face to people who

1214
01:02:59,320 --> 01:03:04,040
Speaker 2: actually want to filmmaker, Like really, yeah, so they're they're

1215
01:03:04,040 --> 01:03:07,360
Speaker 2: gonna celebrate people who just typed a fucking prompt into

1216
01:03:07,400 --> 01:03:11,280
Speaker 2: it and being like, and that's an art form two miles. Okay, no,

1217
01:03:11,480 --> 01:03:14,200
Speaker 2: it is fucking not. But yeah, oh.

1218
01:03:14,160 --> 01:03:18,680
Speaker 1: They're all created by Sam Altman and he is a genius,

1219
01:03:19,000 --> 01:03:22,360
Speaker 1: I swear to god, but yeah. People were also pointing

1220
01:03:22,360 --> 01:03:25,400
Speaker 1: out similarly, like it it really always feels like you

1221
01:03:25,440 --> 01:03:28,680
Speaker 1: can just trace this bullshit back up to somebody who

1222
01:03:28,720 --> 01:03:31,320
Speaker 1: has hundreds of millions of dollars invested in this shit.

1223
01:03:31,680 --> 01:03:35,880
Speaker 1: In this case, Tribeca Film Festival is owned by Tribeca Enterprises,

1224
01:03:36,240 --> 01:03:39,280
Speaker 1: which is owned by Lupa Systems, the company run by

1225
01:03:39,320 --> 01:03:43,640
Speaker 1: Rupert Murdoch's son James, and Lupas Systems has multiple investments

1226
01:03:43,640 --> 01:03:48,640
Speaker 1: in AI companies, including one that produces generative music, which

1227
01:03:48,680 --> 01:03:50,400
Speaker 1: is my favorite genre of music.

1228
01:03:50,520 --> 01:03:54,760
Speaker 2: Yeah, generative, Yeah, because it will generate a fucking headache

1229
01:03:54,800 --> 01:03:56,960
Speaker 2: and crisis as you listen to it. Yeah, but yeah,

1230
01:03:56,960 --> 01:03:59,440
Speaker 2: I get yeah, everything, Like that's what's they make it

1231
01:03:59,480 --> 01:04:01,840
Speaker 2: so easy though, Like with these grifts, like you just

1232
01:04:01,840 --> 01:04:03,640
Speaker 2: have to do a little bit of digging, and you're like,

1233
01:04:03,720 --> 01:04:06,440
Speaker 2: what celebrity, where's their money? Who?

1234
01:04:07,240 --> 01:04:10,520
Speaker 1: With so much information that I feel like people who

1235
01:04:10,560 --> 01:04:13,480
Speaker 1: don't listen to this show. Yeah, and there are people

1236
01:04:13,520 --> 01:04:16,160
Speaker 1: like that still out there, folks. So talk to your

1237
01:04:16,160 --> 01:04:18,720
Speaker 1: friends and family. But you know, like I don't know,

1238
01:04:18,760 --> 01:04:21,360
Speaker 1: if I was just reading headlines, I'd be like, man,

1239
01:04:21,400 --> 01:04:24,480
Speaker 1: it seems like Hollywood's warming up to AI, you know

1240
01:04:24,560 --> 01:04:27,880
Speaker 1: what I mean. Like it's just easy when when the

1241
01:04:27,920 --> 01:04:30,480
Speaker 1: mainstream media is like kind of in on the grift

1242
01:04:30,760 --> 01:04:33,080
Speaker 1: in this case, like with Crypto, they were at least

1243
01:04:33,160 --> 01:04:37,200
Speaker 1: like somewhat skeptical, but in this case it feels like

1244
01:04:38,040 --> 01:04:38,960
Speaker 1: the corporate.

1245
01:04:38,560 --> 01:04:41,400
Speaker 2: Overlords just have it so that they're like, hey, I

1246
01:04:41,480 --> 01:04:44,640
Speaker 2: wave at the future, right, Yeah, And then they have

1247
01:04:44,840 --> 01:04:47,800
Speaker 2: like the stupid human trick of like chet GPT seeming

1248
01:04:47,840 --> 01:04:52,080
Speaker 2: to be alive by doing auto complete really well, and

1249
01:04:52,120 --> 01:04:55,760
Speaker 2: so that's enough to like get the momentum they need.

1250
01:04:55,920 --> 01:04:57,800
Speaker 2: But just keep it to tricks, man, Just keep it

1251
01:04:57,840 --> 01:05:00,800
Speaker 2: to fun party tricks. Stop saying it'll do that's all else.

1252
01:05:00,960 --> 01:05:04,959
Speaker 1: But yeah, you think it's fun party trick, well you're

1253
01:05:05,360 --> 01:05:09,400
Speaker 1: gonna be a fun party trick of history. Because this

1254
01:05:09,880 --> 01:05:11,360
Speaker 1: is the future of Hollywood.

1255
01:05:11,680 --> 01:05:14,120
Speaker 2: I mean, we already know it's happened on podcast too,

1256
01:05:14,560 --> 01:05:17,440
Speaker 2: Like it's not people are like, you know.

1257
01:05:17,640 --> 01:05:21,440
Speaker 1: That joke very well was written by AI's.

1258
01:05:22,600 --> 01:05:29,640
Speaker 9: Wait I wrote that.

1259
01:05:27,080 --> 01:05:30,760
Speaker 2: Special party trick of history.

1260
01:05:31,000 --> 01:05:34,040
Speaker 9: Are they doing that and podcasts ship?

1261
01:05:34,800 --> 01:05:38,280
Speaker 2: Yeah, there's there's a lot of like like the like

1262
01:05:38,320 --> 01:05:41,080
Speaker 2: trying to build voice models and things like that to

1263
01:05:41,120 --> 01:05:44,120
Speaker 2: be able to like automate stuff down the road, you know,

1264
01:05:44,200 --> 01:05:44,800
Speaker 2: Like and.

1265
01:05:45,440 --> 01:05:48,320
Speaker 1: It's one that I've been doing it for a while

1266
01:05:48,680 --> 01:05:52,560
Speaker 1: that's like a comedy podcast that's they claim as all AI,

1267
01:05:52,800 --> 01:05:56,120
Speaker 1: but it's actually made by two comedians and it seems

1268
01:05:56,160 --> 01:05:57,960
Speaker 1: like the comedians are actually writing it.

1269
01:05:58,320 --> 01:05:59,360
Speaker 9: That's kind of funny.

1270
01:05:59,520 --> 01:06:01,560
Speaker 2: Yeah, is that one? Will Sasso is involved?

1271
01:06:01,720 --> 01:06:03,640
Speaker 1: Yeah, I think Will Sasso is involved in it, and

1272
01:06:03,680 --> 01:06:06,280
Speaker 1: like it just seems like it's a bit. But there

1273
01:06:06,320 --> 01:06:09,960
Speaker 1: have been others that are like actually a I generated

1274
01:06:10,080 --> 01:06:14,040
Speaker 1: and I don't I haven't seen them catch on yet, shockingly.

1275
01:06:14,120 --> 01:06:15,960
Speaker 2: No, because you can even like do you even see

1276
01:06:15,960 --> 01:06:18,360
Speaker 2: the AI videos that they have, like the AI voices.

1277
01:06:18,360 --> 01:06:20,840
Speaker 2: You see a lot more on like uh social posts

1278
01:06:20,920 --> 01:06:23,640
Speaker 2: like or like TikTok ads or things like that, like

1279
01:06:23,640 --> 01:06:26,720
Speaker 2: because they're they're basically cutting out like cheap voiceover actors

1280
01:06:26,720 --> 01:06:32,520
Speaker 2: by just having AI voice, like the voice to text. Yeah, yeah,

1281
01:06:32,560 --> 01:06:34,960
Speaker 2: it's so wanked, like it does like these things that

1282
01:06:35,000 --> 01:06:37,480
Speaker 2: are you know, ads a few positives or things like that,

1283
01:06:37,560 --> 01:06:39,880
Speaker 2: but it's still to the human ear. You're like, is

1284
01:06:39,920 --> 01:06:42,720
Speaker 2: this person like like take a bunch of valume and

1285
01:06:42,720 --> 01:06:44,720
Speaker 2: then a bunch of oppers or something, and they're like

1286
01:06:44,760 --> 01:06:48,760
Speaker 2: they're completely crosswired here. It's very odd to listen to.

1287
01:06:48,840 --> 01:06:53,240
Speaker 9: But again, my hot take is that something worse than

1288
01:06:53,280 --> 01:06:57,040
Speaker 9: AI generated content like that are what have you ever

1289
01:06:57,080 --> 01:06:59,080
Speaker 9: seen an ad on Instagram where it's like a fake

1290
01:06:59,280 --> 01:07:03,040
Speaker 9: two people talking about a product on a fake podcast.

1291
01:07:03,720 --> 01:07:07,960
Speaker 9: Oh seemingly like oh this person who created this product

1292
01:07:08,000 --> 01:07:10,560
Speaker 9: happened to be on a podcast talking about it and

1293
01:07:10,600 --> 01:07:15,840
Speaker 9: they filmed it. But it's clearly just for Instagram. Yeah,

1294
01:07:15,880 --> 01:07:19,520
Speaker 9: Like that's because that's a popular clip that looks like style. Yeah,

1295
01:07:19,840 --> 01:07:21,880
Speaker 9: interesting podcast.

1296
01:07:22,160 --> 01:07:24,680
Speaker 2: There's so many quote unquote podcasts that are also just

1297
01:07:24,680 --> 01:07:25,920
Speaker 2: like that, where like we just need to make like

1298
01:07:25,960 --> 01:07:28,080
Speaker 2: a two minute video in here, but let's just put

1299
01:07:28,160 --> 01:07:30,360
Speaker 2: MIC's in front of us with like a flat screen

1300
01:07:30,400 --> 01:07:33,960
Speaker 2: TV with a graphic and then crazy they're really talking

1301
01:07:33,960 --> 01:07:35,720
Speaker 2: about on that podcast.

1302
01:07:35,640 --> 01:07:38,440
Speaker 9: Or that Rocket Money ad. Have you seen those Rocket

1303
01:07:38,440 --> 01:07:43,040
Speaker 9: Money ads where they're they're fake like stand up Peckler

1304
01:07:43,080 --> 01:07:46,840
Speaker 9: clips where there's a stand up talking about like yeah,

1305
01:07:46,880 --> 01:07:49,040
Speaker 9: and you know when you have all these subscriptions and

1306
01:07:49,080 --> 01:07:52,600
Speaker 9: it's just crazy, right, and someone in the audience goes

1307
01:07:52,960 --> 01:07:57,320
Speaker 9: Rocket Money and then the comic goes, oh, oh, that's

1308
01:07:57,360 --> 01:08:01,200
Speaker 9: exactly right, rocket and like it's shot like a stand

1309
01:08:01,280 --> 01:08:04,560
Speaker 9: up clip. It's really freaky. They do it with like

1310
01:08:04,680 --> 01:08:07,840
Speaker 9: three different fake comedians.

1311
01:08:08,000 --> 01:08:09,080
Speaker 1: That's wild.

1312
01:08:09,440 --> 01:08:11,560
Speaker 9: I can't believe you haven't seen this yet. I don't

1313
01:08:11,680 --> 01:08:12,120
Speaker 9: got to see it.

1314
01:08:12,240 --> 01:08:14,000
Speaker 2: That's a good that's usually on Instagram.

1315
01:08:14,080 --> 01:08:17,120
Speaker 9: Maybe it's on my my algorithm specifically, but yeah, if

1316
01:08:17,120 --> 01:08:20,360
Speaker 9: you're heavy in the stand up clips, that's what you're saying.

1317
01:08:20,600 --> 01:08:23,120
Speaker 2: Love crowd work, dude, there's someone so cool about all

1318
01:08:23,120 --> 01:08:27,200
Speaker 2: these crowd work clips. I think that's the future comedy.

1319
01:08:27,280 --> 01:08:29,240
Speaker 2: Just someone's talking to a bunch of people they don't know,

1320
01:08:29,360 --> 01:08:31,200
Speaker 2: not even doing material, and.

1321
01:08:31,240 --> 01:08:34,320
Speaker 1: The thing they're saying that they're brilliant observision is just

1322
01:08:34,360 --> 01:08:35,840
Speaker 1: how good a product is?

1323
01:08:36,640 --> 01:08:39,960
Speaker 2: I love that? Oh yeah, I love that app. We're

1324
01:08:40,000 --> 01:08:41,880
Speaker 2: all talking about it backstage.

1325
01:08:42,240 --> 01:08:45,840
Speaker 9: This coca cola tastes good and there's no calories.

1326
01:08:46,640 --> 01:08:48,559
Speaker 1: And that's what I like about the crowd work is

1327
01:08:48,600 --> 01:08:52,120
Speaker 1: just the exchange of ideas about how what apps are cool?

1328
01:08:54,560 --> 01:08:55,800
Speaker 9: Wow, unbelievable.

1329
01:08:56,640 --> 01:09:01,280
Speaker 1: All right, that's gonna do it for this week's weekly Zeitgeist.

1330
01:09:01,400 --> 01:09:04,880
Speaker 1: Please like and review the show. If you like, the

1331
01:09:04,960 --> 01:09:10,240
Speaker 1: show means the world demiles. He needs your validation, folks.

1332
01:09:10,800 --> 01:09:13,880
Speaker 1: I hope you're having a great weekend and I will

1333
01:09:13,920 --> 01:09:15,000
Speaker 1: talk to you Monday.

1334
01:09:15,040 --> 01:10:04,360
Speaker 16: Bye. Dream Doctor actor A confront