1
00:00:00,200 --> 00:00:03,360
Speaker 1: Hello the Internet, and welcome to this episode of The

2
00:00:03,560 --> 00:00:08,559
Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from

3
00:00:08,600 --> 00:00:17,759
Speaker 1: this week, all edited together into one NonStop infotainment laugh stravaganza.

4
00:00:18,360 --> 00:00:23,919
Speaker 1: Uh yeah, So, without further ado, here is the Weekly Zeitgeist.

5
00:00:24,079 --> 00:00:28,600
Speaker 1: We are thrilled to be joined in our third scene

6
00:00:29,280 --> 00:00:33,960
Speaker 1: by the brilliant, the talented, the legendary, the new daily

7
00:00:34,040 --> 00:00:40,120
Speaker 1: podcast host Nicky Glazer. Hiys, so good to be here

8
00:00:40,479 --> 00:00:44,000
Speaker 1: on another daily podcast. You guys inspired me to start

9
00:00:44,040 --> 00:00:49,559
Speaker 1: my own podcasts. Uh and uh, I'm oh man, I'm

10
00:00:49,640 --> 00:00:52,360
Speaker 1: yeah doing a daily podcast. And then also I've been

11
00:00:52,600 --> 00:00:55,080
Speaker 1: doing a ton of other podcasts, Like I'm podcasting like

12
00:00:55,120 --> 00:00:57,880
Speaker 1: three or four times a day. It's all I do,

13
00:00:58,520 --> 00:01:00,680
Speaker 1: and I love it. It's the best. But yeah, I'm

14
00:01:00,680 --> 00:01:03,279
Speaker 1: having so much fun with mine and um as we

15
00:01:03,280 --> 00:01:05,959
Speaker 1: were just talking off air of like, it's just so

16
00:01:06,080 --> 00:01:08,440
Speaker 1: nice to have a job you don't dread or like,

17
00:01:08,959 --> 00:01:10,560
Speaker 1: and and then there's so many jobs I do that

18
00:01:10,600 --> 00:01:12,840
Speaker 1: are just you know, it's obviously what I chose to do.

19
00:01:12,920 --> 00:01:14,800
Speaker 1: But I don't think there's a single time I go

20
00:01:14,880 --> 00:01:17,280
Speaker 1: on stage and I go, oh, I don't even know

21
00:01:17,360 --> 00:01:18,720
Speaker 1: what I'm gonna say. I don't want to do this.

22
00:01:18,800 --> 00:01:21,120
Speaker 1: And then I grabbed the mic and I have fun.

23
00:01:21,440 --> 00:01:22,880
Speaker 1: The second I grabbed the mic and I got on stage,

24
00:01:22,880 --> 00:01:25,320
Speaker 1: I have fun, but constant dread up until that moment.

25
00:01:25,360 --> 00:01:28,800
Speaker 1: But I don't dread my own podcast at all. In fact,

26
00:01:28,840 --> 00:01:31,119
Speaker 1: I like I do it four days a week, Monday

27
00:01:31,120 --> 00:01:34,560
Speaker 1: through Thursday, the Nicki Glazer Podcast. I Heart Radio by

28
00:01:34,600 --> 00:01:39,759
Speaker 1: Big Money Players, um, but on I get sad Friday, Saturday, Sunday.

29
00:01:39,800 --> 00:01:42,720
Speaker 1: It's like too much of a break. I miss it.

30
00:01:42,800 --> 00:01:44,759
Speaker 1: And that's not just me saying that to be like

31
00:01:45,440 --> 00:01:49,080
Speaker 1: I really do. I just feel like it's I Yeah,

32
00:01:49,160 --> 00:01:50,440
Speaker 1: do you guys ever feel that way? Or do you

33
00:01:50,480 --> 00:01:55,160
Speaker 1: need a break? I mean, we all need breaks. But yeah,

34
00:01:52,760 --> 00:01:58,440
Speaker 1: I enjoyed my weekends. I think it was once we

35
00:01:58,480 --> 00:02:04,320
Speaker 1: started doing a second episode every day. I was just like, yes, yes,

36
00:02:04,360 --> 00:02:09,440
Speaker 1: we did like a fifteen minute trending episode a lot.

37
00:02:10,000 --> 00:02:11,720
Speaker 1: But I don't know because Jack and I we saw

38
00:02:11,720 --> 00:02:14,639
Speaker 1: each other physically for the first time over the weekends.

39
00:02:14,960 --> 00:02:17,240
Speaker 1: We were doing a lesser a war show than the

40
00:02:17,280 --> 00:02:20,799
Speaker 1: one you were doing or maybe depending on where let's

41
00:02:20,800 --> 00:02:24,720
Speaker 1: be honest, I think their same level really boil it down. Yeah,

42
00:02:24,800 --> 00:02:30,360
Speaker 1: But like it was one of those moments you're like

43
00:02:29,200 --> 00:02:32,200
Speaker 1: like a reunion scene at the end of a fashion

44
00:02:32,240 --> 00:02:34,480
Speaker 1: curious movie or some ship because you guys don't see

45
00:02:34,520 --> 00:02:38,000
Speaker 1: each other in person, like ever, you don't have the

46
00:02:38,240 --> 00:02:44,080
Speaker 1: first time in over a year. What yeah, oh my god,

47
00:02:43,280 --> 00:02:47,359
Speaker 1: what did the vaccine observant? I wasn't surprised. How the

48
00:02:47,880 --> 00:02:51,239
Speaker 1: solid hug Jack gave me. Ship my man came in

49
00:02:51,800 --> 00:02:56,200
Speaker 1: from came from deep within. Podcasting is hard, though, because

50
00:02:56,280 --> 00:02:58,720
Speaker 1: I mean, it's like a great job, and I'm not complaining,

51
00:02:58,800 --> 00:03:01,320
Speaker 1: but it is. You can't be on your phone, you

52
00:03:01,320 --> 00:03:03,560
Speaker 1: can't be doing other things. It is to be focused.

53
00:03:03,560 --> 00:03:05,320
Speaker 1: You have to be present, you have to be listening,

54
00:03:05,320 --> 00:03:09,000
Speaker 1: you have to be It's it's different than any other job.

55
00:03:09,040 --> 00:03:11,519
Speaker 1: I mean, I feel like most people work nine to

56
00:03:11,639 --> 00:03:14,600
Speaker 1: five and maybe get the same amount of presence and

57
00:03:14,680 --> 00:03:17,320
Speaker 1: like focus that we have in an hour of podcasting.

58
00:03:17,520 --> 00:03:19,120
Speaker 1: Because I get off my phone, I'm like, oh, that's

59
00:03:19,120 --> 00:03:21,840
Speaker 1: the longest I've been away from my phone. Ever, is

60
00:03:21,880 --> 00:03:24,800
Speaker 1: what I podcast? It's like the it's the It's the

61
00:03:24,800 --> 00:03:26,240
Speaker 1: way it used to be when you would go on

62
00:03:26,280 --> 00:03:28,240
Speaker 1: a plane and they wouldn't have wife right now now

63
00:03:28,240 --> 00:03:31,320
Speaker 1: you have no excuse to never be tethered to your phone.

64
00:03:31,400 --> 00:03:34,680
Speaker 1: But podcasting is the only excuse I have now and sleeping,

65
00:03:34,720 --> 00:03:37,280
Speaker 1: But even sleeping, it's like wake up, bitch, answer my

66
00:03:37,440 --> 00:03:42,920
Speaker 1: tax Yeah, yeah, everything, okay, yeah, I've just been asleep

67
00:03:42,960 --> 00:03:46,000
Speaker 1: for four hours with them. Yeah. Well the only reason

68
00:03:46,080 --> 00:03:47,640
Speaker 1: I like when if people want to get ahold of

69
00:03:47,640 --> 00:03:50,280
Speaker 1: me when I'm sleeping, I say call me because I

70
00:03:50,320 --> 00:03:52,360
Speaker 1: always had my phone on silent, but I always have

71
00:03:52,680 --> 00:03:54,800
Speaker 1: um white noise going. I think it was one of

72
00:03:54,840 --> 00:03:57,200
Speaker 1: my underrateds last time I came on here as like

73
00:03:57,360 --> 00:04:00,800
Speaker 1: a sleep mask and white noise to sleep, So I

74
00:04:00,880 --> 00:04:03,560
Speaker 1: wake up when someone calls because the white noise will

75
00:04:03,680 --> 00:04:05,800
Speaker 1: just it'll go to silence. So I get woken up

76
00:04:05,840 --> 00:04:09,720
Speaker 1: by silence of the call. So that's the only way

77
00:04:09,720 --> 00:04:11,240
Speaker 1: I wake up when I when I sleep. When people

78
00:04:11,240 --> 00:04:12,840
Speaker 1: are like, I don't I didn't want to wake you

79
00:04:12,920 --> 00:04:15,040
Speaker 1: up by texting you, and I'm like, who the hell

80
00:04:15,160 --> 00:04:19,080
Speaker 1: is leaving their text alerts on when they're sleeping? That's

81
00:04:19,080 --> 00:04:21,239
Speaker 1: a that's a that's a person. You need to don't

82
00:04:21,320 --> 00:04:24,800
Speaker 1: get very many text messages, like myself, Oh, you don't

83
00:04:24,839 --> 00:04:26,560
Speaker 1: get any texts and you just rub in your mits.

84
00:04:26,560 --> 00:04:31,600
Speaker 1: You're like, whoa I wake everybody in my house. Hold up.

85
00:04:31,600 --> 00:04:37,480
Speaker 1: I'm like, God, kids, get in here. Do you notice, though,

86
00:04:37,520 --> 00:04:41,160
Speaker 1: that more people are using the voice memo option instead

87
00:04:41,160 --> 00:04:47,039
Speaker 1: of texting? We've been doing that? Yeah, because they disappear, right, Yeah,

88
00:04:47,080 --> 00:04:50,000
Speaker 1: I've I've not. I would say drug dealers are very

89
00:04:50,040 --> 00:04:52,880
Speaker 1: early adopters of the voice message because you could get

90
00:04:52,920 --> 00:04:56,279
Speaker 1: real graphic and say things that you wouldn't want in

91
00:04:56,360 --> 00:04:58,720
Speaker 1: text form that you could do in the voice, you know,

92
00:04:58,760 --> 00:05:06,880
Speaker 1: because yes, graph like graphic about your drugs, like oh

93
00:05:06,920 --> 00:05:11,000
Speaker 1: you want three point five grams? Yes, It's so much

94
00:05:11,040 --> 00:05:13,520
Speaker 1: better than being like can I get some sweaters from you?

95
00:05:13,600 --> 00:05:16,119
Speaker 1: Or whatever? Like I used to just in high school,

96
00:05:16,160 --> 00:05:19,120
Speaker 1: we used to say we were knitting sweaters, And it's

97
00:05:19,160 --> 00:05:22,080
Speaker 1: just like why I thought my parents wouldn't catch onto

98
00:05:22,120 --> 00:05:24,719
Speaker 1: the fact that I've never had an interest in like

99
00:05:24,839 --> 00:05:26,800
Speaker 1: arts and crafts at all, and that we would go

100
00:05:26,920 --> 00:05:29,840
Speaker 1: knit sweaters in the car and drive around my subdivision

101
00:05:30,040 --> 00:05:33,240
Speaker 1: for fifteen minutes and come back with bloodshot eyes and

102
00:05:33,279 --> 00:05:36,279
Speaker 1: no yarn or needles or sweaters. Like it's just so dumb.

103
00:05:37,240 --> 00:05:39,600
Speaker 1: But now I do feel like the voice moment thing.

104
00:05:39,640 --> 00:05:42,480
Speaker 1: I noticed it with like more famous people that I

105
00:05:42,560 --> 00:05:44,680
Speaker 1: may be talking to as the same as drug dealers, Like,

106
00:05:44,880 --> 00:05:47,480
Speaker 1: I don't want as much of a record of a

107
00:05:47,600 --> 00:05:50,680
Speaker 1: text screenshot, so they said the voice. But I like

108
00:05:51,480 --> 00:05:56,960
Speaker 1: you and I famous friends, I mean barely. Well, yeah,

109
00:05:57,000 --> 00:05:58,960
Speaker 1: I need more drug dealers in my life, to be

110
00:05:59,000 --> 00:06:01,640
Speaker 1: honest with you, I'm tired of asking my dad if

111
00:06:01,640 --> 00:06:03,400
Speaker 1: I could have some of his weed. Now they're all

112
00:06:03,440 --> 00:06:06,400
Speaker 1: on Signal, so oh yeah, Signal that's the one. And

113
00:06:06,440 --> 00:06:08,520
Speaker 1: you get an alert when a friend joined Signal. If

114
00:06:08,520 --> 00:06:10,840
Speaker 1: you're on Signal, you get like alerts when your friends

115
00:06:10,920 --> 00:06:13,280
Speaker 1: joined it. You go, oh, someone just got a new

116
00:06:13,360 --> 00:06:16,480
Speaker 1: drug dealer. That's what I say. It's like because you're

117
00:06:16,520 --> 00:06:19,120
Speaker 1: not a journalist or activist or someone who would need

118
00:06:20,200 --> 00:06:24,479
Speaker 1: you're into psilocybin. Now, yeah, you're trying a new therapy.

119
00:06:24,920 --> 00:06:27,000
Speaker 1: I just got an alert that the city of Dayton,

120
00:06:27,040 --> 00:06:30,200
Speaker 1: Ohio joined Signal. I was like, Okay, first of all,

121
00:06:30,200 --> 00:06:32,640
Speaker 1: I didn't know they were one of my contacts. But

122
00:06:33,080 --> 00:06:36,560
Speaker 1: that's so weird wild. I mean, Dayton, Ohio has had

123
00:06:36,600 --> 00:06:39,200
Speaker 1: a drug dealer for a long time. I don't think

124
00:06:39,279 --> 00:06:42,160
Speaker 1: that's what's going on there, right. They're just catching up

125
00:06:42,160 --> 00:06:47,440
Speaker 1: to the technologybe they're having an affair with Cleveland. That

126
00:06:46,200 --> 00:06:50,880
Speaker 1: could it really could be cheating on Cincinnati with Cleveland.

127
00:06:51,920 --> 00:06:54,279
Speaker 1: It's just like an administrator for the city is doing

128
00:06:54,279 --> 00:06:57,159
Speaker 1: it for shady stuff and not realizing it's sending like

129
00:06:57,240 --> 00:07:01,040
Speaker 1: the city of Dayton has joined signal. Damn. I'm starting

130
00:07:01,080 --> 00:07:04,159
Speaker 1: to wonder if my little sister has been using voice memos,

131
00:07:04,240 --> 00:07:06,560
Speaker 1: like since they began. I'm wondering if maybe she's a

132
00:07:06,640 --> 00:07:10,200
Speaker 1: drug dealer. She might be young, like how old is shame?

133
00:07:10,440 --> 00:07:12,720
Speaker 1: She's only two years younger than me. But okay, but

134
00:07:12,880 --> 00:07:15,560
Speaker 1: like the younger kids use the voice memos too, you know,

135
00:07:15,640 --> 00:07:18,160
Speaker 1: Like I feel like that's a it's like texting as

136
00:07:18,200 --> 00:07:20,000
Speaker 1: like old. But I do a lot of the dictating

137
00:07:20,160 --> 00:07:24,360
Speaker 1: of like saying period, exclamation mark. I still started my

138
00:07:24,480 --> 00:07:29,400
Speaker 1: period exclamation mark, you know. But that's that's a weird

139
00:07:29,440 --> 00:07:31,440
Speaker 1: one because sometimes I will be used leaving the voice

140
00:07:31,480 --> 00:07:34,200
Speaker 1: momo and I say exclamation and I'm talking like a

141
00:07:34,440 --> 00:07:37,520
Speaker 1: robot exclamation mark, and I'm like, oh wait, no, I'm

142
00:07:37,640 --> 00:07:43,440
Speaker 1: sending this. Yeah right. My series has I'm unimpressed with

143
00:07:43,520 --> 00:07:48,400
Speaker 1: series of yet uh series ability to like just randomly

144
00:07:48,480 --> 00:07:51,200
Speaker 1: drops in as like I'm sorry, I don't know about that.

145
00:07:51,240 --> 00:07:53,600
Speaker 1: I was I'm like, what the funk? I've never I've

146
00:07:53,640 --> 00:07:58,680
Speaker 1: never like gotten that when it was intended. Anyways, I'm

147
00:07:58,680 --> 00:08:02,080
Speaker 1: an old man, yet, let's talk about I don't think

148
00:08:02,080 --> 00:08:05,600
Speaker 1: Siria has ever brought me anything but consternation in my life,

149
00:08:05,720 --> 00:08:08,160
Speaker 1: Like I need to shut it off. That little start things,

150
00:08:08,240 --> 00:08:12,840
Speaker 1: the little magic ball like starts, get at it. I

151
00:08:12,920 --> 00:08:19,480
Speaker 1: hate I hate that on these iPhones. How many screenshots

152
00:08:19,480 --> 00:08:22,480
Speaker 1: do you have of your home screen from trying to

153
00:08:22,560 --> 00:08:25,040
Speaker 1: turn up or down the music when you have to

154
00:08:25,040 --> 00:08:26,640
Speaker 1: get a grip on it so you have to press

155
00:08:26,720 --> 00:08:29,320
Speaker 1: the other button. I have so many screenshots of my

156
00:08:29,360 --> 00:08:33,080
Speaker 1: home screen It's so annoying. I feel like, are the

157
00:08:33,120 --> 00:08:36,080
Speaker 1: new phones? Did they fix that? Are the new models

158
00:08:36,320 --> 00:08:38,760
Speaker 1: they had to have? I mean, that isn't a thing

159
00:08:38,800 --> 00:08:40,920
Speaker 1: that happens. I think, if anything, you have to change,

160
00:08:40,920 --> 00:08:44,520
Speaker 1: like how you take a screenshot to avoid that definitely,

161
00:08:44,840 --> 00:08:49,000
Speaker 1: like oh okay, thank you. It got harder to take

162
00:08:49,040 --> 00:08:52,679
Speaker 1: a screenshot with this latest update of the phone, so

163
00:08:52,760 --> 00:08:56,080
Speaker 1: I had to like, yeah, I well, I'm on, I

164
00:08:56,160 --> 00:08:58,120
Speaker 1: just got the twelve, but I jumped from like one

165
00:08:58,200 --> 00:09:04,120
Speaker 1: with a button, so I'm way behind. Like the first day,

166
00:09:04,280 --> 00:09:07,640
Speaker 1: I couldn't take a screenshot. Now I can't not take

167
00:09:07,640 --> 00:09:10,400
Speaker 1: them so and then that's the thing is, like you learned.

168
00:09:10,720 --> 00:09:13,120
Speaker 1: Sometimes it's like we get so mad at a design

169
00:09:13,240 --> 00:09:16,040
Speaker 1: change and then we get used to it with it.

170
00:09:16,120 --> 00:09:18,680
Speaker 1: Give it a day before you start tweeting about how

171
00:09:18,800 --> 00:09:22,600
Speaker 1: it's now ruined. We they know us so well. They're

172
00:09:22,840 --> 00:09:26,760
Speaker 1: only optimizing everything for us to be on this thing longer.

173
00:09:26,840 --> 00:09:30,360
Speaker 1: And and they know they know us better than we

174
00:09:30,360 --> 00:09:32,640
Speaker 1: know ourselves. So give it time and it will be

175
00:09:32,679 --> 00:09:36,400
Speaker 1: intuitive within hours. I have to stop being mean to Siri,

176
00:09:36,559 --> 00:09:39,520
Speaker 1: like when she interrupts, I have to stop. Oh, shut up,

177
00:09:39,600 --> 00:09:43,880
Speaker 1: because my my kids are learning it now. Uh, they're

178
00:09:43,920 --> 00:09:47,400
Speaker 1: like being mean too, Alexa. Now I'm like, gosh, they're like,

179
00:09:50,080 --> 00:09:54,520
Speaker 1: it is so at her and get your aggression out

180
00:09:54,600 --> 00:09:56,760
Speaker 1: and just be like you dumb bitch. I don't care

181
00:09:56,800 --> 00:09:59,320
Speaker 1: about the weather like I like to get really mad.

182
00:09:59,360 --> 00:10:02,400
Speaker 1: It's probably rejection. It's not good. I should change it

183
00:10:02,440 --> 00:10:04,720
Speaker 1: to a man's voice to make it feel less. Uh,

184
00:10:04,760 --> 00:10:12,840
Speaker 1: you know, Alex, shut the funk, Alex, Alexei. I guess

185
00:10:12,920 --> 00:10:16,240
Speaker 1: Alex might be too common. I don't know. Whatever. What

186
00:10:17,480 --> 00:10:20,600
Speaker 1: is something from your search history that is revealing about

187
00:10:20,600 --> 00:10:24,400
Speaker 1: who you are? Wow? I am obsessed with these Twitter

188
00:10:24,440 --> 00:10:28,880
Speaker 1: accounts that just post a Google photo of every address

189
00:10:28,960 --> 00:10:32,200
Speaker 1: in the city. So the one that I look at

190
00:10:32,320 --> 00:10:36,520
Speaker 1: constantly is every Lot l A, which is just a

191
00:10:36,559 --> 00:10:40,760
Speaker 1: picture of every lot in l A. But there's also

192
00:10:41,360 --> 00:10:45,960
Speaker 1: every lot Chicago, every lot in New York. I follow

193
00:10:46,000 --> 00:10:49,240
Speaker 1: them all, but I don't understand what what does it do?

194
00:10:50,080 --> 00:10:53,240
Speaker 1: It just posts. It's just a bot and that is

195
00:10:53,440 --> 00:10:58,160
Speaker 1: programmed to post a picture of like every address wanted.

196
00:10:58,200 --> 00:11:03,840
Speaker 1: It like a picture of every Google Maps shot of

197
00:11:03,960 --> 00:11:08,400
Speaker 1: every building. It's like every building in every city. It's

198
00:11:08,600 --> 00:11:13,040
Speaker 1: wild because right now they're like Laurel Canyon Vale, and

199
00:11:13,040 --> 00:11:15,840
Speaker 1: I'm like, yo, what the fun? Yeah, last night I

200
00:11:15,920 --> 00:11:18,280
Speaker 1: was looking at it because they're on Victory Boulevard and

201
00:11:18,280 --> 00:11:20,840
Speaker 1: it's just like a stretch of Victory Boulevard. I love.

202
00:11:21,640 --> 00:11:25,720
Speaker 1: So I was just like Victory, we love it. Oh

203
00:11:26,120 --> 00:11:30,240
Speaker 1: that's a victory right there. About a North Hollywood shootout. Yeah,

204
00:11:31,480 --> 00:11:34,640
Speaker 1: old elementary school right there. Yeah. And I just I

205
00:11:34,760 --> 00:11:37,600
Speaker 1: love the account and I love that it's a bot

206
00:11:37,640 --> 00:11:40,280
Speaker 1: because I just like, well, wait, it posts every twenty minutes.

207
00:11:40,360 --> 00:11:43,360
Speaker 1: I'll be like, oh man, only eight more minutes until

208
00:11:43,400 --> 00:11:48,920
Speaker 1: we get another every lot post. Now, this is the

209
00:11:49,040 --> 00:11:51,679
Speaker 1: sort of thing, just thinking with my n f T

210
00:11:51,880 --> 00:11:55,120
Speaker 1: brain here you can pile all of those into a

211
00:11:55,240 --> 00:12:00,959
Speaker 1: single uh file and then uh you can add an

212
00:12:01,040 --> 00:12:04,160
Speaker 1: n f T and sell that for well you can

213
00:12:05,360 --> 00:12:08,120
Speaker 1: for that, you know, real estate speculation going on. Just

214
00:12:08,240 --> 00:12:11,800
Speaker 1: pictures of real estate. Yeah, it's a fucking no brain

215
00:12:11,920 --> 00:12:14,240
Speaker 1: or molly, I mean the central Land kind of like that.

216
00:12:16,640 --> 00:12:19,480
Speaker 1: This is dope, though, this is really cool. It's just weird.

217
00:12:19,600 --> 00:12:22,080
Speaker 1: It's like it's a bizarre account, you know, because this

218
00:12:22,160 --> 00:12:24,520
Speaker 1: is essentially like if you've ever just they're just clipping

219
00:12:24,520 --> 00:12:27,280
Speaker 1: out these street view things and giving you the address.

220
00:12:27,360 --> 00:12:30,400
Speaker 1: But it is I find myself it's weird because the

221
00:12:30,480 --> 00:12:33,040
Speaker 1: specific part of the city they're in right now is

222
00:12:33,679 --> 00:12:37,520
Speaker 1: a part where I've I know very intimately, so that

223
00:12:37,760 --> 00:12:39,840
Speaker 1: they caught me at a good moment on every lot

224
00:12:40,400 --> 00:12:44,400
Speaker 1: right now, we're in a good stretch. Yeah, it gives

225
00:12:44,440 --> 00:12:50,040
Speaker 1: you a unfettered view of the like even my memory,

226
00:12:50,240 --> 00:12:52,760
Speaker 1: I like remember the stores that are open. I don't

227
00:12:52,800 --> 00:12:54,880
Speaker 1: remember how many of the stores are boarded up, but

228
00:12:54,920 --> 00:12:59,800
Speaker 1: it's like nine tenths boarded up stores on here. Well

229
00:13:00,000 --> 00:13:02,520
Speaker 1: there's this right now where they're at, like in North Hollywood,

230
00:13:02,600 --> 00:13:05,360
Speaker 1: is this old business park that has just died. Its

231
00:13:05,400 --> 00:13:09,840
Speaker 1: Actually they shot the opening of what was the Marvel movie.

232
00:13:10,160 --> 00:13:14,520
Speaker 1: Mrs Mark was the Captain Marvel, Captain Marvel Marvel where

233
00:13:14,559 --> 00:13:17,200
Speaker 1: she touches down in that blockbuster that's in that same

234
00:13:17,240 --> 00:13:20,600
Speaker 1: business park, abandoned business park in North Hollywood where the

235
00:13:20,600 --> 00:13:22,440
Speaker 1: Goals gym is and all this other ship and that

236
00:13:22,480 --> 00:13:24,960
Speaker 1: thing has just been dying over the last thirty years.

237
00:13:25,400 --> 00:13:27,120
Speaker 1: So it was kind of a bummer part of it.

238
00:13:27,400 --> 00:13:33,079
Speaker 1: Not Hollywood right now it rules. That's awesome. Also, the

239
00:13:33,120 --> 00:13:37,480
Speaker 1: Sizzler you might see that image first, first Sizzler, that

240
00:13:37,520 --> 00:13:43,120
Speaker 1: one right there. Yep, yep. Sizzler wasn't uh big deal

241
00:13:43,200 --> 00:13:45,400
Speaker 1: where I lived at the at the time that I

242
00:13:45,440 --> 00:13:49,360
Speaker 1: first saw white men can't jump, But when they like,

243
00:13:49,559 --> 00:13:53,040
Speaker 1: it was a legendary eating establishment in my mind because

244
00:13:53,080 --> 00:13:57,439
Speaker 1: of that movie, because of the We're going to Sizzler celebration.

245
00:14:01,360 --> 00:14:05,880
Speaker 1: What is something you think is overrated? Salad? Uh huh?

246
00:14:06,600 --> 00:14:09,800
Speaker 1: Tuna salad, chicken salad? Are we talking about the leafy

247
00:14:09,880 --> 00:14:13,160
Speaker 1: green leaves? The leafy green? Because when you think about it,

248
00:14:13,360 --> 00:14:15,199
Speaker 1: have you ever thought about salad? You hear about this

249
00:14:15,280 --> 00:14:21,320
Speaker 1: guy's you thought about It's just like it's lubricated leaves

250
00:14:21,640 --> 00:14:26,160
Speaker 1: and hard bread, and I could have like softer bread

251
00:14:26,840 --> 00:14:32,560
Speaker 1: and non moist leaves. Wait, hold on, you want to

252
00:14:32,560 --> 00:14:35,600
Speaker 1: eat a dry leaf, like your ideal meal is just

253
00:14:35,640 --> 00:14:39,200
Speaker 1: a dry leaf a rabbit. People might not realize that

254
00:14:39,280 --> 00:14:42,200
Speaker 1: Katie is actually a rabbit. They might. Yeah, now you

255
00:14:42,240 --> 00:14:45,640
Speaker 1: put a leaf on on a soft bread, right with

256
00:14:45,760 --> 00:14:50,760
Speaker 1: like some chicken or something. Maybe, Yeah, sandwich, that's what

257
00:14:50,800 --> 00:14:55,520
Speaker 1: I'm saying. Sandwiches are better than salads. What are you doing?

258
00:14:55,760 --> 00:15:02,440
Speaker 1: It's just little, it's a sam I mean, do you

259
00:15:02,720 --> 00:15:05,080
Speaker 1: do you like vegetables though? You just so if you're

260
00:15:05,080 --> 00:15:09,240
Speaker 1: gonna have your vegetable intake, you're like, I'll just raw

261
00:15:09,280 --> 00:15:12,200
Speaker 1: with a veggie. Yeah, just eat a raw vegetable, bite

262
00:15:12,240 --> 00:15:14,800
Speaker 1: into a big old bell pepper. Sure. Yeah, you're eating

263
00:15:14,880 --> 00:15:21,040
Speaker 1: a raw potato right now like an apple. I find

264
00:15:21,480 --> 00:15:30,120
Speaker 1: it's good for my digestion, digestive health, digestion digestion. As

265
00:15:30,880 --> 00:15:35,880
Speaker 1: nobody says. Yeah, I don't know salads are better for

266
00:15:35,920 --> 00:15:39,080
Speaker 1: me than sandwiches. And this might just be in my

267
00:15:39,200 --> 00:15:43,280
Speaker 1: old age, like comfortable, but I like this. What I

268
00:15:43,280 --> 00:15:47,120
Speaker 1: mean they're being compared right, that's true? Well, I guess yes,

269
00:15:47,760 --> 00:15:49,880
Speaker 1: I feel like There's got to be a new method

270
00:15:49,920 --> 00:15:53,120
Speaker 1: though for salad eating, like maybe like a cone made

271
00:15:53,120 --> 00:15:56,080
Speaker 1: out of a lettuce and then you drizzle the inside

272
00:15:56,120 --> 00:15:58,760
Speaker 1: with like vinaigrette and then you fill it with croutons

273
00:15:59,040 --> 00:16:02,480
Speaker 1: and things. And I really did give up on presentation.

274
00:16:02,600 --> 00:16:06,880
Speaker 1: It's it's just a pile lazy. You just want to

275
00:16:07,000 --> 00:16:09,040
Speaker 1: sounds like you just want you to let us wrap anything.

276
00:16:10,520 --> 00:16:12,640
Speaker 1: So lettuce is it for wrapping? You know? That's what

277
00:16:12,760 --> 00:16:15,840
Speaker 1: it sounds like. That's what you're landing. Lettuce as a wrap.

278
00:16:16,360 --> 00:16:19,680
Speaker 1: Salads are a rap, right, but usually let us wrap

279
00:16:19,720 --> 00:16:21,960
Speaker 1: has like meat and stuff in it. I just want

280
00:16:22,040 --> 00:16:27,160
Speaker 1: crutons wrapped in on us, Okay, yeah, then listen, Yeah

281
00:16:27,560 --> 00:16:30,960
Speaker 1: do you put crutons? You sound like you're you're a

282
00:16:31,000 --> 00:16:35,000
Speaker 1: big tan head? Do you do you put that? That

283
00:16:35,080 --> 00:16:36,880
Speaker 1: was not the best I could have done, but it

284
00:16:36,960 --> 00:16:39,600
Speaker 1: is what I did. Uh? Do you do you put

285
00:16:39,640 --> 00:16:43,960
Speaker 1: crutons in soup? I love a cruton? Yeah, Yeah that's good.

286
00:16:43,760 --> 00:16:47,520
Speaker 1: Maid's handmade some crutons last night by chopping bread up

287
00:16:47,520 --> 00:16:50,720
Speaker 1: into cubes, but I kind of overdid the toms so

288
00:16:50,800 --> 00:16:55,320
Speaker 1: they were a little bit you know, cinder blocks. Yeah, yeah,

289
00:16:55,600 --> 00:17:01,240
Speaker 1: testing those teeth up, Yeah, And what is something you

290
00:17:01,240 --> 00:17:05,040
Speaker 1: think is underrated? Click, I'm gonna sound so basic, but

291
00:17:05,840 --> 00:17:10,840
Speaker 1: and something I think is underrated is sleep. I I

292
00:17:10,920 --> 00:17:14,640
Speaker 1: love sleep. I really highly value it, and yet somehow

293
00:17:15,000 --> 00:17:18,159
Speaker 1: I never prioritize it. Every single night. I'm like, I

294
00:17:18,200 --> 00:17:20,760
Speaker 1: could go to sleep now, or I could just stay

295
00:17:20,840 --> 00:17:24,399
Speaker 1: up watching some Netflix show that I actually don't care about.

296
00:17:24,840 --> 00:17:27,480
Speaker 1: I just I am not ready to to, you know,

297
00:17:27,560 --> 00:17:32,360
Speaker 1: face my demons and my subconscious and I think it's underrated.

298
00:17:32,400 --> 00:17:35,679
Speaker 1: I actually heard someone say the other day that classic

299
00:17:35,800 --> 00:17:39,280
Speaker 1: refrain of I'll sleep when I'm dead, and I was like, no, honey,

300
00:17:39,280 --> 00:17:42,879
Speaker 1: I'm sleeping when I'm alive. This is the joy of

301
00:17:42,960 --> 00:17:46,640
Speaker 1: living is that we get to sleep. Yeah, I don't

302
00:17:46,680 --> 00:17:48,959
Speaker 1: get to enjoy that ship when I'm dying. It's not

303
00:17:49,000 --> 00:17:52,359
Speaker 1: like you have a RESTful pre death period like that.

304
00:17:52,520 --> 00:17:55,160
Speaker 1: It hurts. Yeah, when you're about to die, you man,

305
00:17:55,280 --> 00:17:57,760
Speaker 1: you're tripping that whole time. It's a head trip that

306
00:17:57,800 --> 00:18:00,040
Speaker 1: whole time when you are truly on your death it

307
00:18:00,200 --> 00:18:02,320
Speaker 1: I mean like watching that happen to a few family members,

308
00:18:02,320 --> 00:18:04,359
Speaker 1: like it's you know, it's you can be peaceful, but

309
00:18:04,400 --> 00:18:05,880
Speaker 1: it's not a thing you're like, damn, you know, I'm

310
00:18:05,880 --> 00:18:10,159
Speaker 1: just looking for the sleep. You know. It's like a

311
00:18:10,359 --> 00:18:15,240
Speaker 1: good parent to You're like, who say, I'm start being

312
00:18:15,280 --> 00:18:20,439
Speaker 1: around so much wasted time? Right, I didn't project my

313
00:18:20,480 --> 00:18:23,960
Speaker 1: past traumas onto you via your parents. I'm like, look,

314
00:18:24,160 --> 00:18:28,120
Speaker 1: you just just rest up, you could, right. But yeah,

315
00:18:28,160 --> 00:18:31,040
Speaker 1: the sleep thing is you know, the when I a

316
00:18:31,080 --> 00:18:33,600
Speaker 1: few weeks ago, we talked about this sort of phenomenon

317
00:18:33,640 --> 00:18:36,320
Speaker 1: about how people are procrastinating with their sleep, and like

318
00:18:36,320 --> 00:18:38,399
Speaker 1: there's a few things. Some of it is like the

319
00:18:38,440 --> 00:18:41,359
Speaker 1: idea of trying to regain moments from your day that

320
00:18:41,400 --> 00:18:44,399
Speaker 1: you feel we're lost through having to work or other things.

321
00:18:44,400 --> 00:18:47,880
Speaker 1: So part of it is like this rebellious act before

322
00:18:47,880 --> 00:18:49,719
Speaker 1: we're going to sleep, of like I'm gonna look at

323
00:18:49,720 --> 00:18:51,560
Speaker 1: my fucking phone because I don't I didn't have enough

324
00:18:51,840 --> 00:18:53,920
Speaker 1: time to do my ship today, and I'm gonna watch

325
00:18:54,080 --> 00:18:56,600
Speaker 1: like in your case of shitty Netflix show that you're

326
00:18:56,640 --> 00:18:59,919
Speaker 1: not even sure why you're watching it. Yeah, I'm an adult,

327
00:19:00,119 --> 00:19:04,159
Speaker 1: damn it. The second I kind of realized about like

328
00:19:04,200 --> 00:19:07,639
Speaker 1: sort of that phenomenon, I really try and keep the

329
00:19:07,760 --> 00:19:12,199
Speaker 1: screenshit away towards the end. But it's tough. It is

330
00:19:12,280 --> 00:19:15,080
Speaker 1: sometimes because you know, I'm also like a kid who

331
00:19:15,280 --> 00:19:17,120
Speaker 1: would try to go to sleep with a TV on

332
00:19:17,160 --> 00:19:19,600
Speaker 1: it every now and then. So it does. It does

333
00:19:19,640 --> 00:19:22,919
Speaker 1: sort of lull me, for sure, but it's also like

334
00:19:23,000 --> 00:19:27,440
Speaker 1: I'm trying to, as you said, like make that period

335
00:19:28,359 --> 00:19:31,800
Speaker 1: of my day sacred in the sense that, you know,

336
00:19:31,840 --> 00:19:34,080
Speaker 1: maybe I can find other times in my day to

337
00:19:34,359 --> 00:19:36,840
Speaker 1: watch these television shows which I you know, some of

338
00:19:36,880 --> 00:19:39,040
Speaker 1: which I do love and engage with. What if I

339
00:19:39,080 --> 00:19:44,000
Speaker 1: can make my evening time about like reading before bed

340
00:19:44,200 --> 00:19:46,560
Speaker 1: or journaling before bed, or you know, something that will

341
00:19:46,600 --> 00:19:51,160
Speaker 1: be stimulating in its own way and fulfilling and sort

342
00:19:51,160 --> 00:19:54,760
Speaker 1: of fill the same need, but won't be like blue

343
00:19:54,840 --> 00:19:58,679
Speaker 1: light beaming straight into my eyeballs at night. You know.

344
00:19:58,720 --> 00:20:01,480
Speaker 1: That's why I like sleep podcasts have been the thing

345
00:20:01,520 --> 00:20:04,640
Speaker 1: I've been trying to replace in the like I'm kind

346
00:20:04,640 --> 00:20:08,280
Speaker 1: of want some kind of stimulation, information, entertainment, but like

347
00:20:08,520 --> 00:20:13,480
Speaker 1: not intense like watching comedy or whatever, sports highlights or whatever,

348
00:20:13,720 --> 00:20:16,840
Speaker 1: because like the real the ship that's like half sleep,

349
00:20:16,920 --> 00:20:19,840
Speaker 1: hypnosis or it just kind of a walking through just

350
00:20:19,920 --> 00:20:22,120
Speaker 1: checking in with your breathing and your body and then

351
00:20:22,160 --> 00:20:26,200
Speaker 1: transitions into like the most dry like reading of like

352
00:20:26,400 --> 00:20:29,359
Speaker 1: Alice in Wonderland, I find myself being like, oh, here

353
00:20:29,440 --> 00:20:33,720
Speaker 1: we go, it's so fun. My AirPods out my ears.

354
00:20:33,760 --> 00:20:35,960
Speaker 1: I'm like, fuck them, don't even let them hard. I'm like,

355
00:20:36,119 --> 00:20:38,840
Speaker 1: I have to transition to sleep real quick, and I

356
00:20:38,880 --> 00:20:41,800
Speaker 1: can't like interet okay, now put it in the case

357
00:20:41,880 --> 00:20:46,080
Speaker 1: and charge. I'm like that children's stories really do it

358
00:20:46,160 --> 00:20:48,520
Speaker 1: for me. Man, Wait, Like I I read my kids

359
00:20:49,000 --> 00:20:53,840
Speaker 1: four bedtime stories, and by number three I am like nodding, Um,

360
00:20:54,160 --> 00:20:56,280
Speaker 1: I do drop a couple of ambient before, just to

361
00:20:56,640 --> 00:21:02,960
Speaker 1: you know, don't know, not children's literature, the original ambient

362
00:21:03,080 --> 00:21:09,119
Speaker 1: because it's nonsense, uh pretty boring, but very uh you know, unobtrusive.

363
00:21:09,400 --> 00:21:11,480
Speaker 1: I think also it's a good sign that I'm sleep

364
00:21:11,520 --> 00:21:15,480
Speaker 1: deprived that whenever I just like sit down and read

365
00:21:15,600 --> 00:21:19,159
Speaker 1: for twenty minutes straight, I'm just like, I can't. I

366
00:21:19,160 --> 00:21:22,560
Speaker 1: can't keep my fucking eyes open, right, yes, yeah, but

367
00:21:22,680 --> 00:21:25,800
Speaker 1: my kids can and then they're in charge of the

368
00:21:25,800 --> 00:21:27,760
Speaker 1: house for a couple of hours while I'm asleep on

369
00:21:27,800 --> 00:21:31,359
Speaker 1: their floor. That's always my favorite is my friends with kids,

370
00:21:31,400 --> 00:21:36,960
Speaker 1: like seeing like nannicam footage of like one parent asleep,

371
00:21:37,320 --> 00:21:39,000
Speaker 1: like trying to read the kid a story and the

372
00:21:39,080 --> 00:21:41,119
Speaker 1: kids just up like taking the book from them and

373
00:21:41,160 --> 00:21:45,760
Speaker 1: just like doing it themselves. I love it the kids

374
00:21:45,800 --> 00:21:48,600
Speaker 1: are partying. Yeah, yeah, yeah, because that's also the time,

375
00:21:48,640 --> 00:21:52,240
Speaker 1: like sleeping adults, I learned the most about the human body.

376
00:21:52,359 --> 00:21:54,760
Speaker 1: Those times, like looking up my grandma's nose and ship

377
00:21:55,600 --> 00:21:58,800
Speaker 1: like just pulling on like my my grandpa's hairy ear

378
00:21:58,920 --> 00:22:01,000
Speaker 1: or something like that. Like those those are the moments

379
00:22:01,000 --> 00:22:04,280
Speaker 1: you remember as a kid. Yeah, I used to when I, um,

380
00:22:04,400 --> 00:22:07,239
Speaker 1: when I was learning how to drive. My goal. My

381
00:22:07,320 --> 00:22:11,080
Speaker 1: dad is a pilot, and he's very like he pilots

382
00:22:11,240 --> 00:22:13,639
Speaker 1: whatever car he's in as well. You know, he's always

383
00:22:13,680 --> 00:22:16,359
Speaker 1: like your head's on a swivel. He's like swinging his

384
00:22:16,400 --> 00:22:23,320
Speaker 1: head around, and were like, um, and he was always

385
00:22:23,320 --> 00:22:27,080
Speaker 1: talking about how you like need to have your like

386
00:22:27,680 --> 00:22:31,040
Speaker 1: slow what would he say, slow down into a stop

387
00:22:31,080 --> 00:22:34,080
Speaker 1: sign and then like accelerate through the turn like all

388
00:22:34,119 --> 00:22:36,960
Speaker 1: of these things. And so my goal was always when

389
00:22:36,960 --> 00:22:40,120
Speaker 1: I had him in the passenger seat, was to sort

390
00:22:40,119 --> 00:22:43,320
Speaker 1: of like be such a smooth driver that he would

391
00:22:43,440 --> 00:22:46,800
Speaker 1: nod off and he would fall asleep and he would

392
00:22:46,840 --> 00:22:51,080
Speaker 1: sort of like nod out, and then somehow while he's

393
00:22:51,080 --> 00:22:53,119
Speaker 1: still asleep, he'd be like, you need to stop at

394
00:22:53,119 --> 00:22:59,200
Speaker 1: that stop sign, like and then he would like black him.

395
00:22:59,480 --> 00:23:02,240
Speaker 1: He has like one eye open, so a side visible

396
00:23:02,280 --> 00:23:04,720
Speaker 1: to you he's asleep, but that other eyes like scanning

397
00:23:04,720 --> 00:23:07,880
Speaker 1: the road right exactly. His head's on as livel Wow.

398
00:23:07,920 --> 00:23:10,080
Speaker 1: I like that he's giving you like real like racing

399
00:23:10,080 --> 00:23:12,320
Speaker 1: stuff like you gotta hit the apex of the term

400
00:23:12,359 --> 00:23:15,000
Speaker 1: and then you bring decelerate into and then accelerate out

401
00:23:15,040 --> 00:23:18,200
Speaker 1: and he's you know, this triple force to launch you out. Yes,

402
00:23:18,480 --> 00:23:23,000
Speaker 1: my dad is Capricorn. He's like deep Earth sign vibes.

403
00:23:23,119 --> 00:23:26,520
Speaker 1: Everything about him is practical. He always wants to give

404
00:23:26,640 --> 00:23:30,280
Speaker 1: like advice and tips. He can't just be like this

405
00:23:30,320 --> 00:23:32,560
Speaker 1: is a great day. He has to be like, well

406
00:23:32,600 --> 00:23:37,119
Speaker 1: today it's beautiful because you know, like metric pressure that

407
00:23:37,200 --> 00:23:40,199
Speaker 1: I think is really underrated or misunderstood. But you know,

408
00:23:40,240 --> 00:23:42,800
Speaker 1: it's so funny. He when you say, like my dad's

409
00:23:42,800 --> 00:23:45,119
Speaker 1: a pilot, My almost things like I'm guessing he's like

410
00:23:45,200 --> 00:23:48,520
Speaker 1: all of my friends parents or dads specifically have like

411
00:23:48,520 --> 00:23:51,760
Speaker 1: like a firefighter or like pilot. They're all like these

412
00:23:51,800 --> 00:23:55,440
Speaker 1: like wells of infinite like just wisdom. Sometimes you're not

413
00:23:55,520 --> 00:24:01,119
Speaker 1: really even asking for it, but it's not sometimes, Yeah, Okay,

414
00:24:01,119 --> 00:24:04,120
Speaker 1: so you're exactly like my friend, my own girl's dad

415
00:24:04,119 --> 00:24:07,359
Speaker 1: who's a firefighter who just calls through, like, man, this

416
00:24:07,440 --> 00:24:11,960
Speaker 1: guy hasn't looked like this in three years, right, Like, okay, cool,

417
00:24:13,119 --> 00:24:15,440
Speaker 1: that's cool. I want to hear more about that. So

418
00:24:15,600 --> 00:24:18,560
Speaker 1: that's clearly me being a dad. I'm like, this guy

419
00:24:18,640 --> 00:24:21,760
Speaker 1: is like what I'm complaining Two characters from my life.

420
00:24:22,080 --> 00:24:25,520
Speaker 1: Robert the the proper fire chief will come through. He's

421
00:24:25,520 --> 00:24:27,359
Speaker 1: a kind of dude who like he'll come to your

422
00:24:27,359 --> 00:24:29,320
Speaker 1: house and be like, whoa, whoa, whoa, what's going on

423
00:24:29,400 --> 00:24:32,760
Speaker 1: that light socket? Hold on? Hold on, hold on, hold on. Yeah.

424
00:24:32,640 --> 00:24:35,240
Speaker 1: Oh see it sounded like it wasn't grounded. I could

425
00:24:35,280 --> 00:24:39,600
Speaker 1: hear it from here. You're like my parents. So my

426
00:24:39,680 --> 00:24:44,520
Speaker 1: parents are staying with me right now, and they it's

427
00:24:44,520 --> 00:24:47,320
Speaker 1: been great. They're they're great with the kids. The kids

428
00:24:47,680 --> 00:24:50,239
Speaker 1: love hanging out with them. But I'm seeing all like

429
00:24:50,280 --> 00:24:53,320
Speaker 1: we've got plumbing issues going on that like I had

430
00:24:53,400 --> 00:24:56,000
Speaker 1: just like it's like a fire alarm that's law on

431
00:24:56,040 --> 00:24:59,160
Speaker 1: batteries that you just kind of silence with your brand. Yeah,

432
00:24:59,240 --> 00:25:01,840
Speaker 1: I just got used to it, but now I'm just like,

433
00:25:01,920 --> 00:25:05,239
Speaker 1: oh man, I'm I am slacking like my name's like

434
00:25:05,600 --> 00:25:11,639
Speaker 1: you're pipe sure bang a lot. What the hell is that? Like, like, oh,

435
00:25:11,640 --> 00:25:16,200
Speaker 1: it's because I am not. Yeah, see, you just gotta

436
00:25:16,200 --> 00:25:21,840
Speaker 1: follow through. Jack were talking about his son, all right, Clarie,

437
00:25:21,840 --> 00:25:24,000
Speaker 1: I do have to ask it, did your dad ever

438
00:25:24,160 --> 00:25:30,120
Speaker 1: talk about encounters with unidentified flying objects? The only time

439
00:25:30,160 --> 00:25:33,359
Speaker 1: he's ever mentioned it was when we were This is

440
00:25:33,400 --> 00:25:37,240
Speaker 1: incredibly misleading, so I apologize, but because I see you're

441
00:25:37,240 --> 00:25:39,320
Speaker 1: getting excited. No, I mean either way it's I think

442
00:25:39,359 --> 00:25:41,520
Speaker 1: it will either be it'll pay off on the premise

443
00:25:41,600 --> 00:25:45,479
Speaker 1: or it'll be a fantastic turn. So it's really it's

444
00:25:45,520 --> 00:25:48,080
Speaker 1: more like a cute God. I feel like I've really

445
00:25:48,080 --> 00:25:51,280
Speaker 1: set this up to fail. We we were young, and

446
00:25:51,359 --> 00:25:55,320
Speaker 1: he came back. He flew for ups for basically all

447
00:25:55,320 --> 00:25:59,800
Speaker 1: my life until last January and like the January of

448
00:25:59,840 --> 00:26:04,240
Speaker 1: the up the pandemic, and he was flying back from

449
00:26:04,480 --> 00:26:08,560
Speaker 1: China or somewhere on Christmas Eve, and he came into

450
00:26:08,560 --> 00:26:09,919
Speaker 1: our rooms and he was like, you have to go

451
00:26:09,960 --> 00:26:12,720
Speaker 1: to bed now, because as I was flying, I saw

452
00:26:12,800 --> 00:26:16,159
Speaker 1: this this flashing red light out of the side of

453
00:26:16,200 --> 00:26:19,080
Speaker 1: the plane, and we we sped up so that we

454
00:26:19,119 --> 00:26:20,960
Speaker 1: could we could beat him here because I think it

455
00:26:21,040 --> 00:26:24,360
Speaker 1: was Santa, and my sister and I were like, oh

456
00:26:24,400 --> 00:26:28,920
Speaker 1: my god, like rooms like covered our heads the original

457
00:26:29,040 --> 00:26:32,600
Speaker 1: unidentified flying object, you know, I mean it was unidentified.

458
00:26:32,640 --> 00:26:35,160
Speaker 1: People think that Santa, but we didn't. We don't know.

459
00:26:35,560 --> 00:26:37,680
Speaker 1: People think I'm in the bad for aliens. I am

460
00:26:37,800 --> 00:26:39,800
Speaker 1: just as willing to believe that that white tic tac

461
00:26:39,960 --> 00:26:44,320
Speaker 1: is Santa. That is gift delivering technical that we don't

462
00:26:44,359 --> 00:26:47,320
Speaker 1: know about. It could be it could be alien life,

463
00:26:47,359 --> 00:26:50,680
Speaker 1: could be Santa. Come on, it could be literally anything.

464
00:26:50,960 --> 00:26:53,720
Speaker 1: It could be you know what I mean, I don't know.

465
00:26:54,200 --> 00:26:56,400
Speaker 1: That's where she's been. Yeah, she was like, oh man,

466
00:26:56,400 --> 00:26:59,159
Speaker 1: I'm gonna take off on their regular as spacecraft and

467
00:26:59,320 --> 00:27:02,720
Speaker 1: switch it off from my turn up spacecraft. Time is

468
00:27:02,760 --> 00:27:12,479
Speaker 1: relative in space, right, Yeah, I think it's all right.

469
00:27:12,680 --> 00:27:14,720
Speaker 1: Let's take a quick break and won't be right back,

470
00:27:23,160 --> 00:27:27,600
Speaker 1: and we're back, and let's check in with the Roe v.

471
00:27:27,760 --> 00:27:31,400
Speaker 1: Wade Supreme Court story, just because I feel like we've

472
00:27:31,400 --> 00:27:34,960
Speaker 1: heard a number of times that like this is a possibility,

473
00:27:35,040 --> 00:27:38,359
Speaker 1: but this you know, pending decision, really seems like it

474
00:27:38,560 --> 00:27:42,320
Speaker 1: is the the case we've been warned about. The justices

475
00:27:42,400 --> 00:27:47,200
Speaker 1: specifically chose a case that lower courts uh had mostly

476
00:27:47,320 --> 00:27:50,920
Speaker 1: upheld precedent on So it basically means that like they're

477
00:27:50,920 --> 00:27:53,960
Speaker 1: coming into an argument that seems like it had been

478
00:27:53,960 --> 00:27:57,680
Speaker 1: settled and they're starting some ship again. So it's clear

479
00:27:57,720 --> 00:28:01,560
Speaker 1: that they have something to say, like they have they

480
00:28:01,600 --> 00:28:05,240
Speaker 1: think there's work to be done on what I think

481
00:28:05,280 --> 00:28:10,800
Speaker 1: most people thought was settled precedent. Yeah, so this people

482
00:28:10,840 --> 00:28:13,199
Speaker 1: are saying like they wouldn't have done this unless a

483
00:28:13,320 --> 00:28:17,360
Speaker 1: major kind of change was coming. And it's probably not

484
00:28:17,400 --> 00:28:21,000
Speaker 1: going to be a change in the pro choice direction.

485
00:28:21,040 --> 00:28:23,200
Speaker 1: I don't think Amy Coney Barrett is going to be like, yeah,

486
00:28:23,240 --> 00:28:26,160
Speaker 1: we're just let's be a little bit more liberal on them.

487
00:28:26,359 --> 00:28:28,600
Speaker 1: She was famously tight lipped in or you know when

488
00:28:28,640 --> 00:28:31,679
Speaker 1: people were asking those questions because of this exact moment,

489
00:28:32,160 --> 00:28:35,440
Speaker 1: you know, because what Trump has put in a third

490
00:28:35,480 --> 00:28:39,280
Speaker 1: of the Supreme Court now and we are, yeah, we're

491
00:28:39,320 --> 00:28:43,400
Speaker 1: looking at this conservative majority that yeah, is is the

492
00:28:43,400 --> 00:28:46,720
Speaker 1: the exact thing that people were fearing that of like

493
00:28:46,800 --> 00:28:49,000
Speaker 1: what a Trump administration looks like or what you know

494
00:28:49,160 --> 00:28:52,280
Speaker 1: what this conservative conservatives that the wheel gives you all

495
00:28:52,280 --> 00:28:54,800
Speaker 1: these other justices. Right, But if you're I mean, if

496
00:28:54,800 --> 00:28:57,120
Speaker 1: you're fearing it, like don't you want it sooner rather

497
00:28:57,120 --> 00:28:59,200
Speaker 1: than later. For me, it's just like, all right, this

498
00:28:59,240 --> 00:29:00,719
Speaker 1: is what's gonna happen. If there's all if you put

499
00:29:00,760 --> 00:29:02,400
Speaker 1: all these people in Supreme Court and we know this

500
00:29:02,440 --> 00:29:04,760
Speaker 1: is coming down the pike at some point, like let's go.

501
00:29:04,960 --> 00:29:07,760
Speaker 1: Because the sooner it happens, and the sooner that they

502
00:29:07,920 --> 00:29:10,719
Speaker 1: curtail Roe v. Wade, then the sooner people are going

503
00:29:10,760 --> 00:29:12,680
Speaker 1: to realize that the only way to change that is

504
00:29:12,720 --> 00:29:14,480
Speaker 1: to is to vote. The way that is to is

505
00:29:14,520 --> 00:29:17,440
Speaker 1: to kick people out of office and like and or

506
00:29:17,600 --> 00:29:20,960
Speaker 1: or create legislation or create a constitutional amendment like like it.

507
00:29:21,480 --> 00:29:23,239
Speaker 1: I'd rather do that than just waiting for the other

508
00:29:23,280 --> 00:29:25,840
Speaker 1: shooter drop. I think, yeah, more than anything. That's just

509
00:29:25,880 --> 00:29:29,200
Speaker 1: how you know American politics works, like it has to

510
00:29:29,240 --> 00:29:31,880
Speaker 1: get to that point for a plurality of people to

511
00:29:31,920 --> 00:29:35,360
Speaker 1: be like, oh fuck, we gotta do something because before

512
00:29:35,400 --> 00:29:38,000
Speaker 1: when everyone was like warning, like no, this could be bad,

513
00:29:38,080 --> 00:29:40,320
Speaker 1: like you kind of need to think about this now. Yeah,

514
00:29:40,680 --> 00:29:42,680
Speaker 1: I think, Dan, that's what's that. I don't know what

515
00:29:42,760 --> 00:29:46,000
Speaker 1: else could happen for things to actually change. But I

516
00:29:46,000 --> 00:29:48,480
Speaker 1: mean when you look at all the state houses across

517
00:29:48,520 --> 00:29:50,920
Speaker 1: the country, I think far too many are willing to

518
00:29:51,440 --> 00:29:54,600
Speaker 1: you know, restrict access to these kinds of procedures then

519
00:29:54,680 --> 00:29:58,560
Speaker 1: actually offer them to their to the constituents. So yeah,

520
00:29:58,560 --> 00:30:00,720
Speaker 1: it's it's a very dark time I think already now

521
00:30:00,720 --> 00:30:02,280
Speaker 1: when you see the amount of people who are having

522
00:30:02,280 --> 00:30:05,239
Speaker 1: to like navigate their murky laws to go out of

523
00:30:05,280 --> 00:30:09,040
Speaker 1: state or find other ways to have this kind of access,

524
00:30:09,040 --> 00:30:11,800
Speaker 1: just how it's just a really bleak picture. But yeah,

525
00:30:11,800 --> 00:30:13,880
Speaker 1: I mean, I don't know what this does to help

526
00:30:13,960 --> 00:30:16,480
Speaker 1: force a conversation about like, well, if that's the case,

527
00:30:16,520 --> 00:30:19,520
Speaker 1: what are we doing about Supreme Court justices and term limits?

528
00:30:19,640 --> 00:30:22,600
Speaker 1: Are we expanding the courts now? Because I think maybe,

529
00:30:22,720 --> 00:30:24,880
Speaker 1: you know, if this does happen, that makes all of

530
00:30:24,920 --> 00:30:29,600
Speaker 1: those other conversations happen with a little more you know. Figure. Yeah,

531
00:30:29,760 --> 00:30:32,440
Speaker 1: they're saying it would revert at least twenty states to

532
00:30:32,840 --> 00:30:36,840
Speaker 1: the pre road days when basically rich women could get

533
00:30:36,880 --> 00:30:41,080
Speaker 1: safe abortions and poor women could not, Right, So I

534
00:30:41,120 --> 00:30:43,880
Speaker 1: guess my fear would be that, And I think this

535
00:30:43,960 --> 00:30:45,560
Speaker 1: is born out a lot in the past four years

536
00:30:45,560 --> 00:30:49,480
Speaker 1: that even with something horrible with legislation or from the

537
00:30:49,480 --> 00:30:51,760
Speaker 1: Supreme Court, that people still don't do what they need

538
00:30:51,800 --> 00:30:54,200
Speaker 1: to do to fix things. So then when you really

539
00:30:54,240 --> 00:30:57,800
Speaker 1: would end up with just like people getting back all

540
00:30:57,920 --> 00:31:03,480
Speaker 1: abortions again. Yeah, I mean the three quarters of the

541
00:31:03,480 --> 00:31:06,720
Speaker 1: population want to keep row in place, like according to polling.

542
00:31:07,080 --> 00:31:10,760
Speaker 1: So this is straight up like activists like just out

543
00:31:10,760 --> 00:31:13,920
Speaker 1: of step with the rest of the country or with

544
00:31:14,040 --> 00:31:17,560
Speaker 1: the majority of the country, I guess. So it would

545
00:31:17,640 --> 00:31:20,560
Speaker 1: seem to be like this would be all the reason

546
00:31:20,840 --> 00:31:25,560
Speaker 1: that the Democratic Party that Joe Biden would need to

547
00:31:25,640 --> 00:31:28,120
Speaker 1: be like, Okay, this is the break glass in case

548
00:31:28,120 --> 00:31:31,320
Speaker 1: of an emergency moment. I can I can totally see

549
00:31:31,360 --> 00:31:35,240
Speaker 1: that being the thing that like they drop a bombshell

550
00:31:35,440 --> 00:31:39,680
Speaker 1: ruling and then that's when Biden like kind of gets

551
00:31:39,720 --> 00:31:45,120
Speaker 1: moving on the Supreme Court kind of term limits or

552
00:31:45,520 --> 00:31:49,480
Speaker 1: you know, expanding the court. But we shall see. Yeah.

553
00:31:49,520 --> 00:31:51,440
Speaker 1: I mean there's also many states too that have like

554
00:31:51,480 --> 00:31:54,480
Speaker 1: these trigger laws too, that are saying, like the second

555
00:31:54,680 --> 00:31:59,920
Speaker 1: the Supreme Court makes a decision, boom, abortions immediately illegal. Yeah,

556
00:32:00,040 --> 00:32:02,560
Speaker 1: you know, many states are waiting for this. Yeah, there's

557
00:32:02,600 --> 00:32:04,640
Speaker 1: a few states. Um, I don't know how many, but

558
00:32:04,680 --> 00:32:06,640
Speaker 1: there's there's a few that have these like trigger laws

559
00:32:06,680 --> 00:32:09,840
Speaker 1: in place in regards to Row. And I think more

560
00:32:09,880 --> 00:32:13,480
Speaker 1: than anything too, it's going to force us to realize, Okay,

561
00:32:13,520 --> 00:32:16,120
Speaker 1: we only have each other to help out. And I

562
00:32:16,160 --> 00:32:18,040
Speaker 1: think that is going to lead to a lot of

563
00:32:18,200 --> 00:32:20,320
Speaker 1: It's going to take a lot of person like people

564
00:32:20,400 --> 00:32:23,360
Speaker 1: helping each other because once the states are just shuttering

565
00:32:23,360 --> 00:32:27,480
Speaker 1: their doors on this, now like we're like these activist

566
00:32:27,480 --> 00:32:29,680
Speaker 1: groups and charities are going to have to do a

567
00:32:29,680 --> 00:32:31,400
Speaker 1: lot of the work to be able to give people

568
00:32:31,480 --> 00:32:34,520
Speaker 1: access to abortions and things like this. So yeah, a

569
00:32:34,560 --> 00:32:37,040
Speaker 1: lot to come. All right, let's talk about the recount.

570
00:32:37,120 --> 00:32:38,720
Speaker 1: I mean, we've all been kind of on the edge

571
00:32:38,720 --> 00:32:41,040
Speaker 1: of our seat. Why when are we gonna finally find

572
00:32:41,080 --> 00:32:44,400
Speaker 1: out who won that fucking election? Guys? I mean, you

573
00:32:44,440 --> 00:32:49,360
Speaker 1: see the new Ben Garrison cartoon. I wake up every morning.

574
00:32:49,400 --> 00:32:53,120
Speaker 1: The first thing I check is what it is? Stupid

575
00:32:53,160 --> 00:32:56,920
Speaker 1: as Ben Garrison cartoon is a It's a the set

576
00:32:56,920 --> 00:33:01,040
Speaker 1: of dominoes Arizona, Michigan, Wisconsin, New Hampshire, George in Pennsylvania,

577
00:33:01,120 --> 00:33:04,400
Speaker 1: with Joe Biden looking scared as the last one, and

578
00:33:04,440 --> 00:33:08,960
Speaker 1: the Arizona domino is falling first, hopefully triggering the audit

579
00:33:09,120 --> 00:33:12,320
Speaker 1: as they say, and you have Trump saying you thus Domino, Joe,

580
00:33:12,920 --> 00:33:16,400
Speaker 1: I don't know what that means. But well, because Joe

581
00:33:17,000 --> 00:33:20,520
Speaker 1: in this comic is very literally his body is a

582
00:33:20,680 --> 00:33:27,960
Speaker 1: domino at the end of which is pretty domino. Joe. Yeah,

583
00:33:28,160 --> 00:33:32,040
Speaker 1: like that. Um so in Maricopa County in Arizona, that's

584
00:33:32,040 --> 00:33:34,160
Speaker 1: the scene of the like one of the most absolutely

585
00:33:34,200 --> 00:33:38,400
Speaker 1: nonsensical attempts at overturning the election. Um if you remember

586
00:33:38,680 --> 00:33:41,040
Speaker 1: this already happened. They did a hand recount. I don't

587
00:33:41,040 --> 00:33:44,000
Speaker 1: know if you remember this, and then like courts were like, yeah,

588
00:33:44,320 --> 00:33:47,400
Speaker 1: these allegations of fraud are like absolutely baseless, like please

589
00:33:47,400 --> 00:33:50,240
Speaker 1: get out of my face, Like it's this election has

590
00:33:50,280 --> 00:33:54,640
Speaker 1: been certified. But since the big lie, the Maga faith

591
00:33:54,680 --> 00:33:56,760
Speaker 1: will have just been very eager to overturn the results.

592
00:33:56,760 --> 00:34:00,720
Speaker 1: So the Republicans in the Arizona Senate subpoena the ballots,

593
00:34:01,120 --> 00:34:03,400
Speaker 1: and then they handed them over to a group of

594
00:34:03,400 --> 00:34:06,920
Speaker 1: fucking idiot conspiracy theorists who are like, yeah, we will

595
00:34:06,960 --> 00:34:09,359
Speaker 1: get to the bottom, we'll find fraud. They're called I'm

596
00:34:09,400 --> 00:34:13,319
Speaker 1: not joking. Their fucking name is the Cyber Ninja's and

597
00:34:13,440 --> 00:34:15,120
Speaker 1: I just want to read a little bit about them.

598
00:34:15,320 --> 00:34:18,200
Speaker 1: The company has no experience in elections, and it's CEO

599
00:34:18,320 --> 00:34:21,200
Speaker 1: helped to spread the stop the steel conspiracy theories in

600
00:34:21,239 --> 00:34:23,080
Speaker 1: the run up to the Capitol riot. It is now

601
00:34:23,120 --> 00:34:27,359
Speaker 1: in possession of Maricopa's ballots and voting equipment, so they're

602
00:34:27,360 --> 00:34:29,680
Speaker 1: they're being like, we're going to figure it out. We'll

603
00:34:29,680 --> 00:34:32,400
Speaker 1: get to the bottom of this. Do we have experience, No,

604
00:34:32,800 --> 00:34:36,040
Speaker 1: but we do have experience in baseless conspiracy theories. So

605
00:34:36,600 --> 00:34:40,160
Speaker 1: as you can imagine, because we know what happened and

606
00:34:40,160 --> 00:34:43,520
Speaker 1: there is no fraud, they have found absolutely funk all

607
00:34:43,880 --> 00:34:46,200
Speaker 1: and because it's so poorly run, like they were using

608
00:34:46,200 --> 00:34:49,440
Speaker 1: this like county like convention center to do the audit

609
00:34:49,480 --> 00:34:52,200
Speaker 1: and stuff, they had to pack up their ship and

610
00:34:52,280 --> 00:34:54,920
Speaker 1: pause the operation because it was they were fucking up

611
00:34:54,960 --> 00:34:57,600
Speaker 1: so bad. It was taking way longer than they thought

612
00:34:57,600 --> 00:35:00,359
Speaker 1: it would that it was interfering with the on these

613
00:35:00,440 --> 00:35:03,200
Speaker 1: high school graduations that they helped hold in that building,

614
00:35:03,440 --> 00:35:05,120
Speaker 1: So they're like, guys, you gotta pack this ship up.

615
00:35:05,120 --> 00:35:07,160
Speaker 1: We got some graduations coming in man, Like, I know

616
00:35:07,239 --> 00:35:10,160
Speaker 1: this is a fun time for you, but we gotta stop.

617
00:35:11,560 --> 00:35:13,360
Speaker 1: So now it's gotten to the point where even the

618
00:35:13,400 --> 00:35:17,080
Speaker 1: Republicans in Arizona are just over it because it's been

619
00:35:17,160 --> 00:35:20,440
Speaker 1: such a clown show that they're like begging them to stop,

620
00:35:20,520 --> 00:35:25,000
Speaker 1: which is kind of odd. So what what is the

621
00:35:25,080 --> 00:35:30,160
Speaker 1: big news that is causing the ben Garrison, Like why

622
00:35:30,239 --> 00:35:34,480
Speaker 1: why are they so certain that this is a comic

623
00:35:34,760 --> 00:35:36,840
Speaker 1: or is that like I'm pretty sure it's from the

624
00:35:36,920 --> 00:35:40,600
Speaker 1: last few days. It's because he thinks he's because he's

625
00:35:40,640 --> 00:35:42,560
Speaker 1: not in the group that thinks this is stupid or

626
00:35:42,560 --> 00:35:44,840
Speaker 1: a joke. It's that he thinks they have things like

627
00:35:44,880 --> 00:35:48,319
Speaker 1: they were looking for like bamboo fibers to prove like

628
00:35:48,400 --> 00:35:52,160
Speaker 1: things were coming from China and ship and using like

629
00:35:52,560 --> 00:35:55,520
Speaker 1: and using like uv purple lights on ballots and people

630
00:35:55,600 --> 00:35:58,200
Speaker 1: like forensically, what do you are you even doing? And

631
00:35:58,200 --> 00:36:00,839
Speaker 1: they're like, oh, we're checking for stuff like what though,

632
00:36:01,200 --> 00:36:04,040
Speaker 1: oh you'll you'll find out. It's like, dude, this is

633
00:36:04,080 --> 00:36:08,200
Speaker 1: all just it's all performative. It's all nonsense. So the

634
00:36:08,239 --> 00:36:12,360
Speaker 1: Republicans started, like, you know, asking the Senate President Karen

635
00:36:12,400 --> 00:36:16,600
Speaker 1: fan like to please end this, like you started this ship,

636
00:36:16,760 --> 00:36:19,560
Speaker 1: please end it. And the board of the Board of

637
00:36:19,560 --> 00:36:23,239
Speaker 1: Supervisors in Maricopa County we're like really fucking pissed. One

638
00:36:23,920 --> 00:36:26,520
Speaker 1: state Republicans calling the process quote a spectacle that is

639
00:36:26,560 --> 00:36:29,160
Speaker 1: harming all of us. Uh. This is from the Board

640
00:36:29,160 --> 00:36:32,120
Speaker 1: of Supervisors. And mind you, this board of supervisors is

641
00:36:32,239 --> 00:36:34,839
Speaker 1: for Republicans and the fifth is a Democrat. So this

642
00:36:34,880 --> 00:36:39,680
Speaker 1: is this board of supervisors Republicans from Arizona. They said

643
00:36:39,680 --> 00:36:41,680
Speaker 1: it's time to make a choice to defend the Constitution

644
00:36:41,680 --> 00:36:44,440
Speaker 1: and the republic. We stand together to defend the Constitution

645
00:36:44,440 --> 00:36:46,600
Speaker 1: and the Republic in our opposition to the big lie.

646
00:36:46,800 --> 00:36:49,080
Speaker 1: We ask everyone to join us in standing for the truth.

647
00:36:49,400 --> 00:36:52,439
Speaker 1: Our state has become a laughing stock. Worse, this quote

648
00:36:52,520 --> 00:36:56,080
Speaker 1: unquote audit is encouraging our citizens to distrust elections, which

649
00:36:56,080 --> 00:36:59,560
Speaker 1: weakens our democratic republic. You have rented out the once

650
00:36:59,560 --> 00:37:02,360
Speaker 1: good name aim of the Arizona State Senate to grifters

651
00:37:02,360 --> 00:37:05,520
Speaker 1: and con artists who are fundraising hard, hard earned money

652
00:37:05,719 --> 00:37:08,600
Speaker 1: from our fellow citizens. Even as your contractors parade around

653
00:37:08,600 --> 00:37:11,400
Speaker 1: the call of scene. See them hunting for bamboo and

654
00:37:11,480 --> 00:37:15,920
Speaker 1: something they call kinematic artifacts while shining purple lights for effect.

655
00:37:16,320 --> 00:37:18,920
Speaker 1: None of these things are done in a serious audit.

656
00:37:20,680 --> 00:37:27,600
Speaker 1: I'm curious what kinematic artifacts? Yeah? What? It sounds like

657
00:37:27,640 --> 00:37:30,120
Speaker 1: a good thing, Like you don't want to ask to

658
00:37:30,280 --> 00:37:33,759
Speaker 1: sound stupid, but you're like, what is that? Something to

659
00:37:33,800 --> 00:37:39,480
Speaker 1: do with actor Joe Strong refraction of waves in the

660
00:37:39,520 --> 00:37:44,160
Speaker 1: migration velocity model introduces kinematic artifacts coherent events not corresponding

661
00:37:44,200 --> 00:37:48,640
Speaker 1: to actual reflections. Okay, they just wanted to like get

662
00:37:48,680 --> 00:37:52,640
Speaker 1: that that UV light on there because that makes them

663
00:37:52,640 --> 00:37:55,000
Speaker 1: feel like they're and they've done this thing where like

664
00:37:55,000 --> 00:37:57,600
Speaker 1: it's so confusing. I've given up trying to understand what

665
00:37:57,600 --> 00:38:00,279
Speaker 1: they're saying. And but it's the bottom line, how they

666
00:38:00,520 --> 00:38:04,160
Speaker 1: audit is nonsense and what you're doing is nonsense, and

667
00:38:04,200 --> 00:38:07,600
Speaker 1: it's ran by the cyber ninjas. We sound like the

668
00:38:07,640 --> 00:38:10,640
Speaker 1: fucking bad guys from like surf Ninja's or some ship.

669
00:38:10,960 --> 00:38:13,640
Speaker 1: But other than being like kind of kicked out of

670
00:38:13,760 --> 00:38:16,680
Speaker 1: the building because they have because of the high school

671
00:38:16,680 --> 00:38:22,080
Speaker 1: graduations and being like shouted down by their own party,

672
00:38:22,120 --> 00:38:25,120
Speaker 1: Like is there is this progressing in some way? Like

673
00:38:25,440 --> 00:38:29,680
Speaker 1: what is giving the people who are on the side

674
00:38:29,719 --> 00:38:33,600
Speaker 1: of these people like hope and nothing? I mean like

675
00:38:33,640 --> 00:38:36,560
Speaker 1: their response to them, it's just to that is being like, oh,

676
00:38:36,640 --> 00:38:39,320
Speaker 1: here they go. They're afraid of what we might find,

677
00:38:40,080 --> 00:38:42,520
Speaker 1: like that you haven't found anything and you're not going

678
00:38:42,600 --> 00:38:46,120
Speaker 1: to because a you're looking for something that isn't there

679
00:38:46,719 --> 00:38:50,000
Speaker 1: and be you're not even trained to even understand what

680
00:38:50,080 --> 00:38:53,320
Speaker 1: you're looking at aside from just like this very narrow

681
00:38:53,520 --> 00:38:57,680
Speaker 1: motivation to be like we're gonna find Chinese bamboo fibers

682
00:38:57,719 --> 00:39:01,000
Speaker 1: on these ballots or some ship. But it's they're they're

683
00:39:01,080 --> 00:39:05,440
Speaker 1: making money. Yeah, absolutely, And I think it's only it's

684
00:39:05,440 --> 00:39:08,680
Speaker 1: another indication. I think this like sort of strongly worded

685
00:39:09,120 --> 00:39:12,480
Speaker 1: attempt at stopping it from the Republicans from the Board

686
00:39:12,480 --> 00:39:17,239
Speaker 1: of Supervisors, that how deeply fractured, Like just like the

687
00:39:17,280 --> 00:39:19,880
Speaker 1: Republican Party is now like where some people are like,

688
00:39:19,960 --> 00:39:21,520
Speaker 1: I think we can get a home, They're like, Nope,

689
00:39:21,560 --> 00:39:24,760
Speaker 1: there goes the party. Off. It goes with the cyber ninjas.

690
00:39:26,360 --> 00:39:29,200
Speaker 1: By the way, Ben Garrison great example of like the

691
00:39:29,239 --> 00:39:34,360
Speaker 1: lower standards of anybody, like for culture that is created

692
00:39:34,400 --> 00:39:36,759
Speaker 1: by anybody who's on the side of this, because they

693
00:39:36,840 --> 00:39:39,400
Speaker 1: just like will take what they can get. The shadow

694
00:39:39,480 --> 00:39:43,560
Speaker 1: work on the on this like when you look at

695
00:39:43,680 --> 00:39:47,200
Speaker 1: so the the idea is that these dominoes are supposed

696
00:39:47,239 --> 00:39:51,200
Speaker 1: to spell out the word audit in shadows, but that

697
00:39:51,560 --> 00:39:55,440
Speaker 1: he has made literally no attempt to make it seem

698
00:39:55,480 --> 00:40:00,319
Speaker 1: like that is even conceivably possible, that would it took

699
00:40:00,360 --> 00:40:03,360
Speaker 1: too much time. He just he just wrote audit, but

700
00:40:03,760 --> 00:40:07,520
Speaker 1: looks Trump always looks good. Yeah, it looks like Richie

701
00:40:07,640 --> 00:40:13,040
Speaker 1: rich he's he's uh. His suit is like kind of

702
00:40:13,080 --> 00:40:17,400
Speaker 1: straining at the like kind of groin region, which I'm

703
00:40:17,440 --> 00:40:24,160
Speaker 1: assuming is not by accident. Like he's yea of what's

704
00:40:24,200 --> 00:40:26,799
Speaker 1: under the US? What do you see there? Tell us

705
00:40:26,840 --> 00:40:32,480
Speaker 1: more about what do you see there? All right, let's

706
00:40:32,480 --> 00:40:36,560
Speaker 1: talk about the insurrectionists. There's a bipartisan effort to look

707
00:40:36,600 --> 00:40:41,160
Speaker 1: at the January six attack, and it's running into opposition

708
00:40:41,360 --> 00:40:44,560
Speaker 1: from GOP leadership. Basically, who would have thought? Who would

709
00:40:44,560 --> 00:40:48,200
Speaker 1: have thought? Minority leader Kevin McCarthy specifically is out here

710
00:40:48,239 --> 00:40:51,279
Speaker 1: being like, oh, it's it's too shortsighted, and it it

711
00:40:51,320 --> 00:40:54,120
Speaker 1: doesn't look at all of the political violence that has

712
00:40:54,160 --> 00:40:57,279
Speaker 1: occurred in the United States. In other words, they don't

713
00:40:57,280 --> 00:41:00,319
Speaker 1: want an investigation into an event that perhaps of their

714
00:41:00,320 --> 00:41:03,080
Speaker 1: own members had a hand in. If you remember, Kevin

715
00:41:03,160 --> 00:41:06,000
Speaker 1: McCarthy was on the phone with Donald Trump when the

716
00:41:06,040 --> 00:41:09,759
Speaker 1: attack was happening. So I have a feeling, yeah, that

717
00:41:09,840 --> 00:41:12,440
Speaker 1: guy doesn't want to have to sit in front of

718
00:41:12,480 --> 00:41:15,600
Speaker 1: anything and explain anything to anyone about what was said

719
00:41:15,640 --> 00:41:18,400
Speaker 1: or not said. But he now saying, quote the renewed

720
00:41:18,400 --> 00:41:22,520
Speaker 1: focused by Democrats to now stand up an additional commission

721
00:41:22,560 --> 00:41:26,239
Speaker 1: ignores the political violence that has struck American cities. That's

722
00:41:26,239 --> 00:41:30,600
Speaker 1: talking about the BLM protests, a Republican congressional baseball practice,

723
00:41:30,680 --> 00:41:33,399
Speaker 1: that was the Steve Scalise thing from seen, and most

724
00:41:33,400 --> 00:41:36,839
Speaker 1: recently the deadly attack on Capitol police in April where

725
00:41:36,920 --> 00:41:40,879
Speaker 1: that guy ran into some of the officers near the Capitol. Now,

726
00:41:41,600 --> 00:41:45,719
Speaker 1: those are not comparable events, and I understand and that

727
00:41:45,800 --> 00:41:49,400
Speaker 1: those we those have been investigated and people understand what

728
00:41:49,520 --> 00:41:51,759
Speaker 1: happened there. This, on the other hand, has a lot

729
00:41:51,760 --> 00:41:56,879
Speaker 1: of moving parts where there's law enforcement, military involvement, even politicians,

730
00:41:56,920 --> 00:41:59,359
Speaker 1: where there's a lot of question marks to like what

731
00:41:59,520 --> 00:42:03,080
Speaker 1: exact really happened and so, and now I think their

732
00:42:03,080 --> 00:42:04,919
Speaker 1: whole thing is they just want to go way back,

733
00:42:05,000 --> 00:42:06,799
Speaker 1: broaden it to the point to be able to raise

734
00:42:06,840 --> 00:42:10,080
Speaker 1: their talking points. Like other proposals from the Republicans are,

735
00:42:10,520 --> 00:42:13,320
Speaker 1: we can we talk about Antifa. We gotta put Antifa

736
00:42:13,360 --> 00:42:15,759
Speaker 1: in there, and we gotta put the BLM protests in

737
00:42:15,800 --> 00:42:18,680
Speaker 1: there as well, just to I think create this sort

738
00:42:18,719 --> 00:42:23,160
Speaker 1: of mass spectacle of like, look, everyone's everyone's doing it, folks,

739
00:42:23,200 --> 00:42:26,200
Speaker 1: So how can we really, you know, consider ourselves safe.

740
00:42:26,760 --> 00:42:30,160
Speaker 1: So yes, that's that's the current state of this effort

741
00:42:30,160 --> 00:42:34,400
Speaker 1: to figure out what happened. Yeah, and I mean Antifa

742
00:42:34,600 --> 00:42:37,720
Speaker 1: was involved in the in the stormy of the capital,

743
00:42:37,719 --> 00:42:43,120
Speaker 1: if if my sources are are correct, if your favorite parlor, yeah,

744
00:42:43,360 --> 00:42:46,360
Speaker 1: your favorite parlor counselor to be believed. And the problem

745
00:42:46,400 --> 00:42:50,120
Speaker 1: with this effort is John Katco, who is the ranking

746
00:42:50,160 --> 00:42:53,680
Speaker 1: member on the Homeland Security Committee, who's the Republican giving

747
00:42:53,680 --> 00:42:57,120
Speaker 1: it this bipartisan support. He voted to impeach Trump. So

748
00:42:58,120 --> 00:43:01,879
Speaker 1: that's already that's already I think a bad sign for

749
00:43:01,920 --> 00:43:04,160
Speaker 1: how much Republican support it's going to get because this

750
00:43:04,200 --> 00:43:06,920
Speaker 1: guy was being like, no, no, I don't know, I'm

751
00:43:06,960 --> 00:43:09,000
Speaker 1: voting to impeach. I don't know what everyone else is

752
00:43:09,040 --> 00:43:12,520
Speaker 1: talking about. So that's already raising question marks on top

753
00:43:12,560 --> 00:43:15,000
Speaker 1: of the fact that once it gets out of the House,

754
00:43:15,160 --> 00:43:17,399
Speaker 1: it has to go to the Senate and then we'll

755
00:43:17,400 --> 00:43:21,200
Speaker 1: see what kind of will there is to either completely

756
00:43:21,200 --> 00:43:24,320
Speaker 1: water it down, you know, amend it. So it really

757
00:43:24,400 --> 00:43:27,359
Speaker 1: is like about just whatever they wanted, whatever else they

758
00:43:27,360 --> 00:43:29,960
Speaker 1: needed to be about. But I think such as the

759
00:43:30,280 --> 00:43:34,760
Speaker 1: the all too familiar theme recently, right all right, let's

760
00:43:34,760 --> 00:43:37,040
Speaker 1: take one more break and we'll come back and talk

761
00:43:37,040 --> 00:43:42,440
Speaker 1: about some bullshit. All right, it's now time for the story.

762
00:43:42,480 --> 00:43:46,320
Speaker 1: We've all been waiting for cicadas. We we knew brood

763
00:43:46,800 --> 00:43:50,759
Speaker 1: what I had been calling brood X, but apparently ten

764
00:43:52,160 --> 00:43:57,919
Speaker 1: his they're coming out into the world. Uh, it's Brewed ten. Yeah,

765
00:43:58,000 --> 00:44:06,960
Speaker 1: I know, man, I'm looking like XX. Yeah, yeah, this

766
00:44:07,080 --> 00:44:10,399
Speaker 1: is brewed X. Well, MPR is calling it Brewed ten,

767
00:44:12,040 --> 00:44:20,720
Speaker 1: and pre also called him Malcolm ten. So that way,

768
00:44:21,680 --> 00:44:25,480
Speaker 1: So these cicadas are coming out, and they are on

769
00:44:25,520 --> 00:44:30,480
Speaker 1: their way out. As they get closer to like sexual maturity,

770
00:44:30,560 --> 00:44:32,919
Speaker 1: which is when they come out, their body gives off

771
00:44:33,400 --> 00:44:38,840
Speaker 1: some sort of chemical marker that then causes this fungus

772
00:44:39,080 --> 00:44:44,400
Speaker 1: too like mature rapidly. As they're coming through the ground,

773
00:44:44,680 --> 00:44:49,440
Speaker 1: it infects them. They're insides basically get replaced with what

774
00:44:49,520 --> 00:44:53,440
Speaker 1: appears to be like any racer, like a pencil eracer

775
00:44:54,040 --> 00:44:58,399
Speaker 1: that's just absolutely packed with spores of this fungus and

776
00:44:58,600 --> 00:45:02,600
Speaker 1: it is full of amphetam means and psilocybin. Uh. And

777
00:45:02,760 --> 00:45:06,000
Speaker 1: they spend the whole time that they're out just high

778
00:45:06,080 --> 00:45:11,720
Speaker 1: out of their minds, incredibly horny, and just trying to

779
00:45:11,760 --> 00:45:15,960
Speaker 1: mate with anything that moves uh and therefore spreading the

780
00:45:16,000 --> 00:45:21,600
Speaker 1: fungus around to others. Kada's it's wild. Can you explain that? Well?

781
00:45:21,640 --> 00:45:24,960
Speaker 1: I actually I just did a podcast on Creature Feature

782
00:45:25,239 --> 00:45:30,040
Speaker 1: with Mary Wilson about brood X recently, and yeah, it's

783
00:45:30,040 --> 00:45:34,319
Speaker 1: really interesting. My my sister in law just sent me

784
00:45:34,800 --> 00:45:37,680
Speaker 1: this article this morning. I guess everyone knows that I

785
00:45:37,719 --> 00:45:40,239
Speaker 1: would want to hear about this and talk about it.

786
00:45:41,000 --> 00:45:44,040
Speaker 1: The fungus are one of the few sort of like

787
00:45:44,760 --> 00:45:49,359
Speaker 1: dangers to cicada's as they are underground and await their

788
00:45:49,360 --> 00:45:54,759
Speaker 1: emergence after seventeen years of developing underground. So they their

789
00:45:54,840 --> 00:45:58,239
Speaker 1: life cycle is basically, they legs the eggs you know,

790
00:45:58,640 --> 00:46:02,239
Speaker 1: fall down onto the ground, and the larva goes and

791
00:46:02,400 --> 00:46:06,560
Speaker 1: burrows underground. They take seventeen years to mature, and then

792
00:46:06,719 --> 00:46:11,680
Speaker 1: after the seventeen years, they all simultaneously emerge and start

793
00:46:11,840 --> 00:46:15,760
Speaker 1: sucking each other and and then this cycle begins again.

794
00:46:15,840 --> 00:46:21,680
Speaker 1: But these fun guy will infect the cicadas while they're underground,

795
00:46:21,840 --> 00:46:24,879
Speaker 1: and then as they come up, you know, they then

796
00:46:25,200 --> 00:46:29,520
Speaker 1: like as they make that final molt into their adult forms,

797
00:46:29,920 --> 00:46:33,399
Speaker 1: the fungus causes their butts to fall off, and then

798
00:46:33,560 --> 00:46:37,200
Speaker 1: it replaces that entire area where their genitals and the

799
00:46:37,560 --> 00:46:39,839
Speaker 1: rear end of their abdomen would be with like this

800
00:46:39,920 --> 00:46:44,640
Speaker 1: weird like white chalky packed in spores, just like Jack said,

801
00:46:45,160 --> 00:46:49,319
Speaker 1: and it releases a the wait, how did they funk

802
00:46:49,360 --> 00:46:52,040
Speaker 1: if they got no butt? They can't, but they try,

803
00:46:52,239 --> 00:46:55,920
Speaker 1: but don't try that. How do they procreate for the

804
00:46:56,000 --> 00:46:58,279
Speaker 1: next site? They don't. They don't. There's not it's not

805
00:46:58,320 --> 00:47:01,320
Speaker 1: like the whole population has the infection. It's just a

806
00:47:01,400 --> 00:47:05,600
Speaker 1: small Oh got you? So some are freaky, No, but

807
00:47:05,680 --> 00:47:10,359
Speaker 1: I mean they're they're so they're There are so many cicadas.

808
00:47:10,640 --> 00:47:14,000
Speaker 1: There's like hundreds and hundreds of like I actually think

809
00:47:14,040 --> 00:47:17,160
Speaker 1: like millions of cicadas that come out because her majesty

810
00:47:17,280 --> 00:47:20,799
Speaker 1: she's from the DC Maryland area, and she was saying

811
00:47:21,120 --> 00:47:23,560
Speaker 1: how people are already wrapping their trees and ship like

812
00:47:23,680 --> 00:47:26,160
Speaker 1: to prepare for this because they don't want their trees

813
00:47:26,200 --> 00:47:29,200
Speaker 1: to become like cicada fuck parties and things like that

814
00:47:29,280 --> 00:47:38,960
Speaker 1: and something romantic just like aromatic aromatherapy set and some

815
00:47:39,080 --> 00:47:42,000
Speaker 1: tasty lubes. No. I just like they're trying to protect

816
00:47:42,040 --> 00:47:45,799
Speaker 1: their property. It's just wild to me, like because like

817
00:47:45,880 --> 00:47:47,800
Speaker 1: being in Japan all the time as a kid, Cicadas

818
00:47:47,840 --> 00:47:51,320
Speaker 1: are just a very normal part of like the summer soundscape.

819
00:47:51,360 --> 00:47:54,360
Speaker 1: Like in fact, something's wrong if I don't hear cicadas,

820
00:47:54,440 --> 00:47:58,279
Speaker 1: you know, screaming. Yeah, that's when the aliens have come, right,

821
00:47:58,280 --> 00:48:00,640
Speaker 1: But this is funny, like too, now when over here

822
00:48:00,680 --> 00:48:04,479
Speaker 1: we have this one that's like every seventeen years, it's

823
00:48:04,640 --> 00:48:08,840
Speaker 1: like the fucking pestilence. It's more than every seventeen years.

824
00:48:08,920 --> 00:48:12,480
Speaker 1: Because so these are there are multiple species and multiple

825
00:48:12,600 --> 00:48:16,080
Speaker 1: groups of these cicadas, So you will have even the

826
00:48:16,280 --> 00:48:19,800
Speaker 1: one group so like this Brewed X will only emerge

827
00:48:19,880 --> 00:48:23,080
Speaker 1: every seventeen years, but there's like another group of cicadas

828
00:48:23,160 --> 00:48:26,319
Speaker 1: that are slightly out of sync with that one. So

829
00:48:26,360 --> 00:48:29,240
Speaker 1: you get every few years, you get a giant amount

830
00:48:29,239 --> 00:48:33,080
Speaker 1: of cicadas coming out geographic Like is there like Brewed

831
00:48:33,280 --> 00:48:35,839
Speaker 1: X like takes over the East coast and then brood

832
00:48:36,040 --> 00:48:39,680
Speaker 1: whatever the fun I mean, it's not that huge of

833
00:48:39,800 --> 00:48:43,839
Speaker 1: like a geographical chunk, but certainly like there's you'll have

834
00:48:44,320 --> 00:48:48,680
Speaker 1: maybe cicadas in like this area, and there's ones in

835
00:48:48,719 --> 00:48:51,480
Speaker 1: this area. But also if there are different species, those

836
00:48:51,560 --> 00:48:54,680
Speaker 1: can those can um differ. They can be in the

837
00:48:54,760 --> 00:48:57,080
Speaker 1: same region. But yeah, no, I mean I don't think

838
00:48:57,120 --> 00:49:00,920
Speaker 1: it's like, uh, you do get that regional difference in

839
00:49:01,000 --> 00:49:03,279
Speaker 1: terms of which are emerging at what time, but it's

840
00:49:03,320 --> 00:49:05,360
Speaker 1: not like it's not like on the West Coast we

841
00:49:05,440 --> 00:49:07,359
Speaker 1: get it every ten years and then on the East

842
00:49:07,440 --> 00:49:09,960
Speaker 1: Coast they get it every seven. It's it's much so

843
00:49:10,000 --> 00:49:13,319
Speaker 1: were diversified than that one question I had because this

844
00:49:13,520 --> 00:49:16,400
Speaker 1: just raises like something that I think is interesting about

845
00:49:16,800 --> 00:49:21,200
Speaker 1: drug use in general, is that like when when we

846
00:49:21,280 --> 00:49:26,560
Speaker 1: take drugs, it's not like the powder from the ecstasy

847
00:49:26,600 --> 00:49:30,680
Speaker 1: we take is going into our brain and like the

848
00:49:30,800 --> 00:49:34,040
Speaker 1: little powder molecules are like going in there. It's like

849
00:49:34,400 --> 00:49:37,839
Speaker 1: it's causing your brain to make its own drugs, right,

850
00:49:38,320 --> 00:49:40,920
Speaker 1: Like that's what that's what this fungus does, is it

851
00:49:41,000 --> 00:49:46,600
Speaker 1: causes the cicadas to make psilocybin and amphetamines, and like

852
00:49:46,760 --> 00:49:50,000
Speaker 1: they basically are like pumped full of those, but it's

853
00:49:50,000 --> 00:49:53,719
Speaker 1: like by their own body. So it just made me wonder, like,

854
00:49:54,120 --> 00:49:59,000
Speaker 1: are there examples of throughout human history where they think like, oh,

855
00:49:59,040 --> 00:50:02,800
Speaker 1: they were probably like that was probably a massive wave

856
00:50:02,880 --> 00:50:07,120
Speaker 1: of some infection that made everybody like start tripping for

857
00:50:07,239 --> 00:50:11,800
Speaker 1: like a for an entire summer or something. Yeah, I

858
00:50:11,840 --> 00:50:15,120
Speaker 1: mean I think you mentioned this, uh in the dock.

859
00:50:15,200 --> 00:50:18,960
Speaker 1: But there's that the rye or get um, which is

860
00:50:19,000 --> 00:50:23,360
Speaker 1: that fungus that grows on rye, which when cooked into

861
00:50:23,400 --> 00:50:27,400
Speaker 1: bread and ingested, can cause all sorts of health problems,

862
00:50:27,440 --> 00:50:33,480
Speaker 1: but also has hallucinogenic effects. And so that's been speculated

863
00:50:33,520 --> 00:50:35,880
Speaker 1: to be behind some of the Salem witch trials of

864
00:50:35,920 --> 00:50:40,719
Speaker 1: those girls, like accusing their natures of being witches and

865
00:50:41,000 --> 00:50:44,640
Speaker 1: they believed what they were seeing. Yeah, and uh, Justin

866
00:50:44,800 --> 00:50:48,200
Speaker 1: producer Justin just pointed out that this is something I

867
00:50:48,239 --> 00:50:50,319
Speaker 1: had heard about. I had never heard it attributed to

868
00:50:50,400 --> 00:50:54,360
Speaker 1: a fungus. But the dancing plague, the thing where people

869
00:50:54,800 --> 00:50:59,080
Speaker 1: couldn't stop dancing and some of them danced until they died,

870
00:50:59,200 --> 00:51:03,440
Speaker 1: people believe that was caused by a fungal infection. So

871
00:51:04,000 --> 00:51:07,279
Speaker 1: that's that sounds very similar. Actually danced until their butts

872
00:51:07,280 --> 00:51:11,880
Speaker 1: fell off, right, Because if they're eating this like rie

873
00:51:11,880 --> 00:51:16,600
Speaker 1: fungus and it produces this like ergotamine, and then that

874
00:51:16,800 --> 00:51:20,840
Speaker 1: ingestion of it can cause hallucinations and uh. In terms

875
00:51:20,840 --> 00:51:24,319
Speaker 1: of medical conditions, though, there are medical conditions where you

876
00:51:24,320 --> 00:51:29,080
Speaker 1: can make yourself get drunk, not drinking any alcohol. It's

877
00:51:29,120 --> 00:51:35,880
Speaker 1: called auto brewery syndrome or gut fermentation syndrome. So ethanol

878
00:51:36,000 --> 00:51:40,160
Speaker 1: is actually produced by fermentation by fungi or bacteria in

879
00:51:40,320 --> 00:51:44,320
Speaker 1: the g I system. And you don't have to drink anything,

880
00:51:44,840 --> 00:51:46,839
Speaker 1: you know, you just eat normally and then you have

881
00:51:47,040 --> 00:51:51,879
Speaker 1: like this abnormal gut bacteria or yeast or fungi that

882
00:51:52,080 --> 00:51:58,680
Speaker 1: is creating basically beer. When you get drunk, your stomach

883
00:51:58,680 --> 00:52:02,600
Speaker 1: turns into a Pruno bag from frist where whatever you

884
00:52:02,680 --> 00:52:05,520
Speaker 1: eat is now like, dude, that's booze. Now? How a

885
00:52:05,680 --> 00:52:09,960
Speaker 1: many times have people like gotten do like I swear

886
00:52:11,760 --> 00:52:15,000
Speaker 1: anything you can't you could get out of a d

887
00:52:15,120 --> 00:52:17,279
Speaker 1: u I if you have this medical condition, I think

888
00:52:17,280 --> 00:52:22,400
Speaker 1: I've actually read a case of that. Like someone sauceper

889
00:52:22,600 --> 00:52:25,520
Speaker 1: just give him. I'm telling you'a got a brewer's stomach.

890
00:52:26,760 --> 00:52:31,359
Speaker 1: What alright? Alright? If you're driving a fucking school bus man,

891
00:52:32,320 --> 00:52:34,640
Speaker 1: I mean, there's got to be a lawyer who specializes

892
00:52:34,719 --> 00:52:38,719
Speaker 1: in that. It's just like I was. He likes to

893
00:52:38,719 --> 00:52:41,120
Speaker 1: pull rabbits out of a hat and he only takes

894
00:52:41,160 --> 00:52:43,640
Speaker 1: on cases where he knows it's like, oh, yeah, you

895
00:52:43,760 --> 00:52:47,480
Speaker 1: do have auto brewery syndrome. Okay, I'll take this case.

896
00:52:48,320 --> 00:52:51,360
Speaker 1: Do you or someone you love have auto brewery syndrome?

897
00:52:51,560 --> 00:52:54,719
Speaker 1: You may get money in a settlement. Yeah, we need

898
00:52:54,800 --> 00:52:57,600
Speaker 1: you to get pulled over for a d U I first. Yeah,

899
00:52:57,760 --> 00:53:00,879
Speaker 1: So this is all sorts of straight on. One thing

900
00:53:00,960 --> 00:53:03,879
Speaker 1: that I will just note in case anyone's getting any

901
00:53:03,920 --> 00:53:09,440
Speaker 1: big ideas about going out and eating any cicadas they see,

902
00:53:09,760 --> 00:53:14,360
Speaker 1: uh with their asses blown off by a plug of sports.

903
00:53:14,400 --> 00:53:18,919
Speaker 1: So the scientists are saying in this NPR article there's

904
00:53:18,920 --> 00:53:22,200
Speaker 1: always a risk in eating cicadas pumped filled with amphetamines.

905
00:53:23,120 --> 00:53:27,200
Speaker 1: That was just a grand under statement. That was just

906
00:53:27,440 --> 00:53:30,400
Speaker 1: one of a thousand compounds we found in the cicadas,

907
00:53:30,480 --> 00:53:33,160
Speaker 1: and we don't know what those other compounds are capable

908
00:53:33,160 --> 00:53:35,439
Speaker 1: of doing to humans. I'm sorry, man, this is gonna

909
00:53:35,440 --> 00:53:38,439
Speaker 1: be the new tide pods. Well, but people already eat

910
00:53:38,480 --> 00:53:42,400
Speaker 1: cicadas during these mass cicada blooms, like they put them

911
00:53:42,440 --> 00:53:46,680
Speaker 1: on ice cream before the trippy as sports. Yeah they don't.

912
00:53:46,840 --> 00:53:49,799
Speaker 1: I think it's irrelevant to the trippy as sports. It's

913
00:53:49,840 --> 00:53:51,600
Speaker 1: just like, oh, this is a fun event. Like a

914
00:53:51,600 --> 00:53:55,160
Speaker 1: local ice cream store may like put candied cicadas, But

915
00:53:55,280 --> 00:53:57,960
Speaker 1: I'm talking about like me. If I'm seventeen right now

916
00:53:58,000 --> 00:54:00,839
Speaker 1: and I'm reading that their butts are filled the psilocybin

917
00:54:00,960 --> 00:54:03,719
Speaker 1: and and amphetamines, I'm like, bro, we gotta see if

918
00:54:03,760 --> 00:54:07,279
Speaker 1: that should yea something. I mean, it's yeah, it's like

919
00:54:07,320 --> 00:54:11,800
Speaker 1: psilocybin is the same chemical found in psychedelic mushrooms. But

920
00:54:12,400 --> 00:54:16,000
Speaker 1: I think he'd be safer off doing psychedelic mushrooms. Yeah,

921
00:54:16,080 --> 00:54:19,160
Speaker 1: but again, this is for kids. I'm putting myself in

922
00:54:19,160 --> 00:54:22,400
Speaker 1: an idiot kid mode and I'm hearing there's free drugs

923
00:54:22,520 --> 00:54:26,000
Speaker 1: in the suit. He to assholes. My friend from Dayton

924
00:54:26,000 --> 00:54:29,879
Speaker 1: when I moved to Lexing in Kentucky, he came down

925
00:54:29,880 --> 00:54:32,440
Speaker 1: to visit me. We were good friends, but like not

926
00:54:32,560 --> 00:54:35,360
Speaker 1: such good friends that I was just a little like wow,

927
00:54:35,440 --> 00:54:37,239
Speaker 1: he like wants to stay for a week and then

928
00:54:37,320 --> 00:54:39,759
Speaker 1: made us like go out into horse fields and look

929
00:54:39,840 --> 00:54:45,280
Speaker 1: for psilocybin mushrooms under ship piles in in a horse

930
00:54:45,360 --> 00:54:48,640
Speaker 1: and cattle fields. Kids will do anything to get hot,

931
00:54:49,160 --> 00:54:52,640
Speaker 1: but don't Scientists say don't because we never ate them.

932
00:54:52,640 --> 00:54:55,000
Speaker 1: I wouldn't let him meet any of the any of

933
00:54:55,040 --> 00:54:57,600
Speaker 1: the you don't. The thing is, I don't think you

934
00:54:57,680 --> 00:55:01,560
Speaker 1: want to just eat a mystery mush room probably not

935
00:55:01,600 --> 00:55:03,799
Speaker 1: good for you. I mean, like what I was talking

936
00:55:03,800 --> 00:55:06,920
Speaker 1: about that, right, erg it um not only could it

937
00:55:06,960 --> 00:55:12,000
Speaker 1: cause hallucinogenic effects, but ergotism with repeated ingestion of it,

938
00:55:12,560 --> 00:55:16,719
Speaker 1: which could cause gang green and convulsion. So people's like

939
00:55:17,200 --> 00:55:22,040
Speaker 1: skin and digits falling off in convulsions. So I don't know.

940
00:55:23,280 --> 00:55:26,600
Speaker 1: I don't know what we know about this butt fungus,

941
00:55:26,600 --> 00:55:29,520
Speaker 1: but I wouldn't mess around with it personally. Kids do

942
00:55:29,600 --> 00:55:33,680
Speaker 1: not smoke cicata? Ass is that even a combination like that?

943
00:55:33,719 --> 00:55:35,960
Speaker 1: People do? Like I know that M D M A

944
00:55:36,280 --> 00:55:40,799
Speaker 1: and ampheta means is ecstasy, but like is mushrooms and

945
00:55:40,960 --> 00:55:43,920
Speaker 1: ampheta means like a combo? But that's not that's not

946
00:55:44,200 --> 00:55:46,919
Speaker 1: that's not one you really want to. Like, Yeah, beam

947
00:55:47,000 --> 00:55:52,000
Speaker 1: up and have a full on It's like okay in

948
00:55:52,200 --> 00:55:57,440
Speaker 1: space and have an anxiety attack. They seem incongruous. All right,

949
00:55:57,680 --> 00:56:00,759
Speaker 1: let's take a quick break and we will be right back.

950
00:56:09,160 --> 00:56:13,200
Speaker 1: And we're back and all right. We hear a lot

951
00:56:13,280 --> 00:56:19,960
Speaker 1: about AI technology being incorporated into law enforcement, into I

952
00:56:20,000 --> 00:56:24,480
Speaker 1: think medicine, and you always hear like promises of how

953
00:56:24,560 --> 00:56:29,279
Speaker 1: AI is going to change entertainment. Somebody kind of put

954
00:56:29,320 --> 00:56:33,520
Speaker 1: together an interesting proof of concept on the music front

955
00:56:34,080 --> 00:56:37,920
Speaker 1: that Miles, you're into, right, I just I always, you know,

956
00:56:38,000 --> 00:56:40,759
Speaker 1: the when when you're talking about oh, Netflix, like they

957
00:56:40,800 --> 00:56:42,680
Speaker 1: can use algorithms to kind of figure out what a

958
00:56:42,880 --> 00:56:44,480
Speaker 1: hit show is going to be, I'm like, Okay, that's yeah,

959
00:56:44,480 --> 00:56:46,799
Speaker 1: we'll talk about that next. Or things like that are like,

960
00:56:46,920 --> 00:56:51,520
Speaker 1: you know, maybe the racist police recognition facial recognition software

961
00:56:51,560 --> 00:56:53,680
Speaker 1: isn't as good. I like the lower stakes kind of

962
00:56:53,680 --> 00:56:56,520
Speaker 1: AI stories, you know, like when they say we've fed

963
00:56:56,640 --> 00:56:59,400
Speaker 1: this machine all this nineties pop music and then this

964
00:56:59,440 --> 00:57:01,680
Speaker 1: is what it's been out so and this has been

965
00:57:01,719 --> 00:57:03,160
Speaker 1: a trend that's been going on for a while, but

966
00:57:03,280 --> 00:57:05,239
Speaker 1: this one is kind of interesting just because of the

967
00:57:05,440 --> 00:57:09,280
Speaker 1: how contrasting the two inputs are they have. They basically

968
00:57:09,320 --> 00:57:11,520
Speaker 1: got this AI. They said, look, we want to see

969
00:57:11,560 --> 00:57:15,160
Speaker 1: if we can do the Spice Girls Wanna Be but

970
00:57:15,320 --> 00:57:18,440
Speaker 1: in the form of a nine inch Nails track, and

971
00:57:19,240 --> 00:57:21,800
Speaker 1: almost like that seems like a stretch, And I don't

972
00:57:21,800 --> 00:57:24,600
Speaker 1: know how the fucking machine is gonna get like take

973
00:57:24,720 --> 00:57:27,680
Speaker 1: if you want to be my lover with like I

974
00:57:27,880 --> 00:57:31,520
Speaker 1: want to disagree you like that. I don't know how

975
00:57:31,560 --> 00:57:33,880
Speaker 1: they do it, but they did and I just want

976
00:57:33,880 --> 00:57:36,840
Speaker 1: to play a really quick clip of this because it's

977
00:57:37,040 --> 00:57:59,280
Speaker 1: kind of believable shooting. Okay, not a perfect downward spiral recreation,

978
00:57:59,360 --> 00:58:01,640
Speaker 1: and in fact, to me it sounds more like Scream

979
00:58:01,800 --> 00:58:05,800
Speaker 1: by Janet and Michael. But it's just weird again because

980
00:58:05,920 --> 00:58:09,680
Speaker 1: it's nailing these certain textures, like it knows what the

981
00:58:09,760 --> 00:58:13,480
Speaker 1: weird chaotic synth guitar part is and they get Trent's

982
00:58:13,560 --> 00:58:16,680
Speaker 1: voice right, but then I think the funk part of

983
00:58:16,800 --> 00:58:19,120
Speaker 1: want to be kind of messed with. Either way, you

984
00:58:19,160 --> 00:58:22,000
Speaker 1: get this like weird. It sounds like music from like

985
00:58:22,320 --> 00:58:27,040
Speaker 1: Demolition Man. Yeah, you know what I mean. It sounds

986
00:58:27,040 --> 00:58:31,000
Speaker 1: exactly like music from a movie set in the nineties,

987
00:58:31,200 --> 00:58:33,440
Speaker 1: like when you go to a party or something and

988
00:58:33,480 --> 00:58:35,880
Speaker 1: there's a band playing at the party. That's what they

989
00:58:35,880 --> 00:58:38,400
Speaker 1: would have been playing. Or like in the Matrix when

990
00:58:38,400 --> 00:58:40,800
Speaker 1: like he's following the White Rabbit to that club, like

991
00:58:40,840 --> 00:58:42,240
Speaker 1: this is the ship that would have been playing in

992
00:58:42,240 --> 00:58:47,160
Speaker 1: that freaky Aas club. There's some steaks there. It's like

993
00:58:47,280 --> 00:58:49,440
Speaker 1: the you're in the club, the band is playing, and

994
00:58:49,440 --> 00:58:52,320
Speaker 1: you're looking across and you like clock the person you're chasing,

995
00:58:52,320 --> 00:58:57,520
Speaker 1: and then they start running right. Oh shit, okay, oh,

996
00:58:57,560 --> 00:59:01,320
Speaker 1: now shootout with the with the green liquid spilled up.

997
00:59:01,440 --> 00:59:04,919
Speaker 1: She was bringing a bottle of green to somebody. Hey man,

998
00:59:05,040 --> 00:59:08,560
Speaker 1: you bump into someone. Hey man, watch where you're going, right,

999
00:59:08,640 --> 00:59:11,760
Speaker 1: They're always so rude in those clothes. Hey, what's the

1000
00:59:11,840 --> 00:59:15,480
Speaker 1: big idea? Man? When you watch the special like features

1001
00:59:15,480 --> 00:59:19,040
Speaker 1: are like? That was actually the producer Jim Bowls character

1002
00:59:19,560 --> 00:59:25,360
Speaker 1: whoa And he was just partying right there. He was

1003
00:59:25,400 --> 00:59:28,320
Speaker 1: in the way. We just kept that. But just to

1004
00:59:28,360 --> 00:59:31,320
Speaker 1: say that, like it's getting before you would get these

1005
00:59:31,400 --> 00:59:34,680
Speaker 1: weird ass non musical things, things are getting a little

1006
00:59:34,720 --> 00:59:36,600
Speaker 1: bit better, to the point where, you know, give it

1007
00:59:36,600 --> 00:59:39,800
Speaker 1: a few more thousands of hours of music and check

1008
00:59:39,840 --> 00:59:42,160
Speaker 1: back in with us. But I also want to talk

1009
00:59:42,240 --> 00:59:47,160
Speaker 1: about it even freakier AI thing that is occurring, which

1010
00:59:47,240 --> 00:59:49,320
Speaker 1: is I don't even know. Well, wait before you say that,

1011
00:59:49,320 --> 00:59:51,960
Speaker 1: because I do have to. I feel like people will

1012
00:59:52,080 --> 00:59:55,640
Speaker 1: drag me if I don't. As a Spice Girls fundamentalist,

1013
00:59:56,000 --> 00:59:59,840
Speaker 1: I believe that that song is blasphemous and should never

1014
00:59:59,880 --> 01:00:04,160
Speaker 1: be played again. Bice Girls music is pure and perfect

1015
01:00:04,600 --> 01:00:08,360
Speaker 1: and should never be touched by humans or certainly not machine.

1016
01:00:08,400 --> 01:00:12,520
Speaker 1: I will say I officially thought that that sucked I

1017
01:00:12,560 --> 01:00:14,520
Speaker 1: thought I thought it was bad. It was worse than

1018
01:00:14,600 --> 01:00:17,560
Speaker 1: any Spice Girls song in any nine ishes. No, no,

1019
01:00:17,640 --> 01:00:19,840
Speaker 1: it's not not that. It's it's but I'm saying it's

1020
01:00:20,280 --> 01:00:22,680
Speaker 1: it's getting there. All that to say, that's in service

1021
01:00:22,720 --> 01:00:25,560
Speaker 1: of this next thing, which is the freaky fucked up

1022
01:00:25,560 --> 01:00:28,440
Speaker 1: part of AI, which is on its way to Like

1023
01:00:28,560 --> 01:00:30,720
Speaker 1: at first you're like, I mean that's kind of sucks.

1024
01:00:30,920 --> 01:00:35,800
Speaker 1: Now it's like, oh, fuck is territory? Yeah, so yes,

1025
01:00:36,200 --> 01:00:38,720
Speaker 1: you know, but oh, I'm just back to your point

1026
01:00:38,760 --> 01:00:40,680
Speaker 1: about want to Be. You're saying that it should never

1027
01:00:40,760 --> 01:00:43,320
Speaker 1: be defiled in such a way as it was, rather

1028
01:00:43,360 --> 01:00:45,680
Speaker 1: than want to Be is outside of what you believe

1029
01:00:45,720 --> 01:00:48,080
Speaker 1: to be canon for Spice Girls. You're saying, how dare

1030
01:00:48,120 --> 01:00:53,200
Speaker 1: you put your dirty hands algorithm on that thing? Exactly? Okay,

1031
01:00:53,680 --> 01:00:57,439
Speaker 1: the just for the record, yes, absolutely, that is punch

1032
01:00:57,480 --> 01:00:59,800
Speaker 1: of the jam episode about want to Be as great

1033
01:00:59,840 --> 01:01:02,040
Speaker 1: because like they take all the stems and all the

1034
01:01:02,040 --> 01:01:05,120
Speaker 1: different like and and you really get into appreciation for

1035
01:01:05,160 --> 01:01:08,280
Speaker 1: what a good song that is. Oh who didn't fucking

1036
01:01:08,320 --> 01:01:10,320
Speaker 1: love that song? I remember? I just you know, because

1037
01:01:10,640 --> 01:01:13,240
Speaker 1: we like to pivot to go on tangits on this show.

1038
01:01:13,440 --> 01:01:15,840
Speaker 1: I remember so vividly. When that ship came out. I

1039
01:01:15,880 --> 01:01:17,840
Speaker 1: was working on a school project at my friend Michael

1040
01:01:17,920 --> 01:01:21,200
Speaker 1: Kim's house and his mom brought so much fucking taco

1041
01:01:21,320 --> 01:01:24,440
Speaker 1: bell like into like his room to help us finish

1042
01:01:24,480 --> 01:01:27,160
Speaker 1: this project. I had never seen a parent bring this

1043
01:01:27,280 --> 01:01:29,720
Speaker 1: much fast food and put in front of kids before.

1044
01:01:30,160 --> 01:01:32,000
Speaker 1: And we were playing want to Be on a Loop,

1045
01:01:32,240 --> 01:01:34,920
Speaker 1: and I'll never forget that day. Uh, Michael Cam, I

1046
01:01:34,920 --> 01:01:37,040
Speaker 1: hope you're good. I hope your mother Agnes or I

1047
01:01:37,080 --> 01:01:42,000
Speaker 1: think that was her name. I hope she's good too. Um, shoutout, Agnes,

1048
01:01:42,040 --> 01:01:44,520
Speaker 1: shout out. I just cam. But this one. So we're

1049
01:01:44,520 --> 01:01:48,200
Speaker 1: talking now. Deep fix another version of using this AI

1050
01:01:48,240 --> 01:01:51,640
Speaker 1: to you know, make it seems like someone is doing

1051
01:01:51,680 --> 01:01:54,120
Speaker 1: something they're not. First we saw him like really problematic

1052
01:01:54,120 --> 01:01:57,400
Speaker 1: celebrity faked porn and shipped like that, and then people

1053
01:01:57,400 --> 01:01:59,960
Speaker 1: talked about how there was also technology to take the

1054
01:02:00,120 --> 01:02:03,080
Speaker 1: voice and then be able to map someone get someone's

1055
01:02:03,120 --> 01:02:06,080
Speaker 1: voice to say anything you want. Well, there's a new

1056
01:02:06,080 --> 01:02:11,520
Speaker 1: company now that is essentially able to begin dubbing films

1057
01:02:11,800 --> 01:02:15,480
Speaker 1: but using deep fakes to do it. And I know

1058
01:02:15,520 --> 01:02:17,520
Speaker 1: that sounds kind of weird, but I'm just gonna play

1059
01:02:17,520 --> 01:02:20,240
Speaker 1: you a clip of how this kind of operates. So

1060
01:02:20,720 --> 01:02:24,080
Speaker 1: it's called flawless. And you know, for the most part,

1061
01:02:24,120 --> 01:02:26,000
Speaker 1: when we watch foreign language films were used to like

1062
01:02:26,080 --> 01:02:29,000
Speaker 1: dubbed films or subtitles, right, the double will just be

1063
01:02:29,040 --> 01:02:31,600
Speaker 1: like the old Kung Fu movie joke where like the

1064
01:02:31,640 --> 01:02:34,480
Speaker 1: mouth is moving and then the dialogue comes out completely mismatched.

1065
01:02:35,280 --> 01:02:39,080
Speaker 1: They're saying, dub is usually so bad. Yeah, this one,

1066
01:02:39,160 --> 01:02:41,600
Speaker 1: they're saying, not fun that We'll get these people to

1067
01:02:41,600 --> 01:02:45,880
Speaker 1: speak whatever language you want now, so behold this freaky

1068
01:02:46,200 --> 01:02:57,400
Speaker 1: technological advancements. So that was a few good men in French.

1069
01:02:57,600 --> 01:03:02,240
Speaker 1: The mouth movements not the super Stellar, but they're matching,

1070
01:03:02,360 --> 01:03:04,160
Speaker 1: and it's not to the point where you're like, oh,

1071
01:03:04,200 --> 01:03:06,600
Speaker 1: this is completely taking it out now, I just want

1072
01:03:06,600 --> 01:03:08,480
Speaker 1: to play. This part shook me to my core because

1073
01:03:08,520 --> 01:03:11,560
Speaker 1: they had fucking Forrest Gump speaking Japanese in this clip.

1074
01:03:18,560 --> 01:03:20,640
Speaker 1: So yeah, I know it's hard to see. We'll put

1075
01:03:20,640 --> 01:03:23,880
Speaker 1: the link in the footnotes, but we are approaching this

1076
01:03:24,040 --> 01:03:26,680
Speaker 1: future now where this company is saying, we don't have

1077
01:03:26,800 --> 01:03:31,120
Speaker 1: to do reshoots, you don't have to do subtitles. We

1078
01:03:31,240 --> 01:03:35,440
Speaker 1: can map the animated mouth movements to whatever language and

1079
01:03:35,480 --> 01:03:39,240
Speaker 1: even use the tone of voice to get these actors

1080
01:03:39,240 --> 01:03:41,200
Speaker 1: to speak in any language that you so see fit.

1081
01:03:41,400 --> 01:03:43,280
Speaker 1: I just want to play this part. This is de Niro,

1082
01:03:43,440 --> 01:03:55,080
Speaker 1: I think speaking German. Contest. Oh yeah, they got so

1083
01:03:55,160 --> 01:03:58,840
Speaker 1: they use the person's actual voice to Okay, that's kind

1084
01:03:58,880 --> 01:04:04,040
Speaker 1: of freaky. Interpretate, create, synthesize them speaking in other languages,

1085
01:04:04,160 --> 01:04:06,720
Speaker 1: because their whole the whole thrust of this company is

1086
01:04:06,760 --> 01:04:10,760
Speaker 1: like dubs. You lose the dramatic performance because the facial

1087
01:04:10,760 --> 01:04:13,120
Speaker 1: expressions aren't timed with like the delivery of the lines,

1088
01:04:13,200 --> 01:04:15,560
Speaker 1: and you can give kind of a disjointed interpretation of

1089
01:04:15,560 --> 01:04:18,840
Speaker 1: what you're seeing. I mean, it's kind of this is

1090
01:04:18,880 --> 01:04:21,720
Speaker 1: clearly a double edged sword because you can see the

1091
01:04:21,760 --> 01:04:23,400
Speaker 1: good that it could do and you can all see

1092
01:04:24,080 --> 01:04:26,200
Speaker 1: again we've always known Deep Fix we're going to be

1093
01:04:26,240 --> 01:04:29,160
Speaker 1: a problem since like the first sort of clips came out,

1094
01:04:29,600 --> 01:04:32,360
Speaker 1: and now that we're like here, it has some actors

1095
01:04:32,400 --> 01:04:36,280
Speaker 1: like I'm not really feeling this like manipulation of my

1096
01:04:36,360 --> 01:04:40,480
Speaker 1: face to do this other stuff. Yeah. I was already

1097
01:04:40,480 --> 01:04:44,520
Speaker 1: feeling like my job was in danger when the pandemic

1098
01:04:44,600 --> 01:04:47,800
Speaker 1: hit and I was like, huh, do I have any

1099
01:04:47,920 --> 01:04:52,760
Speaker 1: useful skills? And an apocalypse beyond like keeping you entertained,

1100
01:04:52,840 --> 01:04:55,960
Speaker 1: and like look over here, don't look at the burning

1101
01:04:55,960 --> 01:04:59,240
Speaker 1: fires all around us. And now this is very much

1102
01:04:59,280 --> 01:05:02,280
Speaker 1: like oh right, and we also don't need you at all.

1103
01:05:02,520 --> 01:05:06,440
Speaker 1: We could just completely create a performance based on images

1104
01:05:06,480 --> 01:05:08,160
Speaker 1: that we already have, anything like oh, we're doing new

1105
01:05:08,200 --> 01:05:11,400
Speaker 1: soul Bomb episodes based on the existing audio we already

1106
01:05:11,400 --> 01:05:14,200
Speaker 1: have from the podcast and have me saying crazy ship

1107
01:05:14,320 --> 01:05:17,560
Speaker 1: and that honestly, as long as I'm getting paid, you know,

1108
01:05:17,760 --> 01:05:21,040
Speaker 1: I'll take it. But now they're they're all about how

1109
01:05:21,120 --> 01:05:25,320
Speaker 1: delicious bug paste is, and I love that bug paste.

1110
01:05:25,320 --> 01:05:29,200
Speaker 1: Gid read bug paste. But the other thing is like,

1111
01:05:29,280 --> 01:05:31,960
Speaker 1: I don't know, you know, part of me likes watching

1112
01:05:32,000 --> 01:05:34,320
Speaker 1: foreign language films because part of it the fun is

1113
01:05:34,760 --> 01:05:38,240
Speaker 1: hearing language you don't understand and hearing the nuances and

1114
01:05:38,360 --> 01:05:42,320
Speaker 1: language too, So it's like, but then they're also times

1115
01:05:42,320 --> 01:05:44,920
Speaker 1: like when I was watching Lupan on Netflix, when I

1116
01:05:44,960 --> 01:05:47,240
Speaker 1: was like, fuck, maybe I'll go to the dubbed version.

1117
01:05:48,760 --> 01:05:51,440
Speaker 1: But I also like to hear but so I can

1118
01:05:51,440 --> 01:05:53,360
Speaker 1: see sometimes how maybe i'd be like, yeah, fuck it,

1119
01:05:53,440 --> 01:05:55,200
Speaker 1: I guess I could go with the dub version tonight,

1120
01:05:55,520 --> 01:05:58,800
Speaker 1: but I don't know. I tried to watch um that

1121
01:05:59,360 --> 01:06:02,800
Speaker 1: German show Dark I. I did watch the first season

1122
01:06:03,040 --> 01:06:07,280
Speaker 1: fully dubbed, and I was like, it's fine. I guess

1123
01:06:07,360 --> 01:06:10,240
Speaker 1: the show is fine, but the performances are kind of shitty.

1124
01:06:10,400 --> 01:06:12,760
Speaker 1: And then I just like changed over to subtitles. I

1125
01:06:12,800 --> 01:06:15,440
Speaker 1: was like, oh, these are great performances there. It's just

1126
01:06:16,040 --> 01:06:19,640
Speaker 1: like the voice actors have an impossible job and like

1127
01:06:19,680 --> 01:06:23,480
Speaker 1: they're not the quality of actor that the actual performers are.

1128
01:06:23,560 --> 01:06:27,400
Speaker 1: So it's just it's I will say, I've heard I've

1129
01:06:27,440 --> 01:06:31,160
Speaker 1: heard the French dub of my character in Love Simon,

1130
01:06:31,920 --> 01:06:36,520
Speaker 1: and I was hoping it would sound like me speaking French,

1131
01:06:36,880 --> 01:06:38,600
Speaker 1: you know, but like like a native speaker when I

1132
01:06:38,600 --> 01:06:42,920
Speaker 1: speak French, it sounds like a child who obviously not French.

1133
01:06:43,440 --> 01:06:48,400
Speaker 1: But it sounded like a French woman. And I was like, huh, okay,

1134
01:06:48,440 --> 01:06:51,800
Speaker 1: this is this is interesting. It's like somewhere in the

1135
01:06:51,880 --> 01:06:54,400
Speaker 1: realm of what my voice sort of sounds like, but

1136
01:06:54,480 --> 01:06:58,240
Speaker 1: it also fully sounds like a woman. And like, like,

1137
01:06:58,280 --> 01:07:00,600
Speaker 1: what are you trying to say here, Fran right, right

1138
01:07:00,680 --> 01:07:04,360
Speaker 1: right exactly, like m what is your understanding of gender

1139
01:07:04,400 --> 01:07:13,120
Speaker 1: identity and performance France? France? Oh, I want to posit

1140
01:07:13,200 --> 01:07:15,800
Speaker 1: this question to this group because just on the topic

1141
01:07:15,840 --> 01:07:18,800
Speaker 1: of algorithms mishmashing shipped together and then being like, yeah,

1142
01:07:18,840 --> 01:07:22,440
Speaker 1: we can do this, seeing the wacky nine inch snails

1143
01:07:22,560 --> 01:07:25,360
Speaker 1: want to be and then this thing, I'm really curious.

1144
01:07:25,400 --> 01:07:30,840
Speaker 1: I would really be interested to see like a fully produced,

1145
01:07:31,400 --> 01:07:36,000
Speaker 1: algorithmically created film that was like only based off of

1146
01:07:36,040 --> 01:07:39,720
Speaker 1: like nineties actions and action films and comedies, just to

1147
01:07:39,760 --> 01:07:43,760
Speaker 1: see what kind of chaotic, fucking nightmare this AI thinks

1148
01:07:44,120 --> 01:07:46,480
Speaker 1: is like what we were trying to say to storytelling

1149
01:07:46,520 --> 01:07:48,680
Speaker 1: at the time. And I feel like it would be

1150
01:07:48,760 --> 01:07:52,120
Speaker 1: just this I don't know, like a weird like like

1151
01:07:52,160 --> 01:07:55,720
Speaker 1: a mushroom trip, because part of it is this you know,

1152
01:07:55,840 --> 01:07:59,400
Speaker 1: synthesis of like actual human expression and ideas. But then

1153
01:07:59,720 --> 01:08:02,960
Speaker 1: what this machine isn't saying believing what we're trying to

1154
01:08:03,000 --> 01:08:06,320
Speaker 1: do with it. I've always just been a big, you know, supporter,

1155
01:08:06,480 --> 01:08:09,280
Speaker 1: believer in wanting to see a project like that. I

1156
01:08:09,320 --> 01:08:14,280
Speaker 1: know that there's there was that company that basically was

1157
01:08:14,400 --> 01:08:18,840
Speaker 1: feeding plots into algorithms, and I think it was doing

1158
01:08:18,840 --> 01:08:22,360
Speaker 1: it more reactively. It was like you would send a script,

1159
01:08:22,479 --> 01:08:24,920
Speaker 1: they would input all the details from the script into

1160
01:08:24,920 --> 01:08:28,639
Speaker 1: their algorithm. They had a couple of early hits and

1161
01:08:28,680 --> 01:08:33,040
Speaker 1: then they were like, Okay, based off those early hits,

1162
01:08:33,040 --> 01:08:35,280
Speaker 1: we're gonna like really invest We're gonna like buy this

1163
01:08:35,400 --> 01:08:39,639
Speaker 1: small studio. And they like immediately ate ship and went

1164
01:08:39,640 --> 01:08:42,439
Speaker 1: out of business. This is for like, this is like

1165
01:08:42,479 --> 01:08:45,160
Speaker 1: for an Elon Musk type idiot who has a bunch

1166
01:08:45,160 --> 01:08:47,000
Speaker 1: of money to piss away. And it's like, I give

1167
01:08:47,200 --> 01:08:51,760
Speaker 1: earth meme movie based on algorithms because I feel like

1168
01:08:51,800 --> 01:08:54,840
Speaker 1: if it was really taking like weird toxic messaging we had,

1169
01:08:55,160 --> 01:08:58,760
Speaker 1: it would be like the asshole asshole man Wins would

1170
01:08:58,760 --> 01:09:01,519
Speaker 1: be like the name of the film, basically whole man wins.

1171
01:09:02,120 --> 01:09:04,000
Speaker 1: Who would be who would be the star of that?

1172
01:09:04,080 --> 01:09:07,000
Speaker 1: I'm thinking it would be like Wesley Snipes and Slash

1173
01:09:07,120 --> 01:09:10,320
Speaker 1: Alone or something. It's like, it's Wesley Snipes, It's the

1174
01:09:10,680 --> 01:09:14,360
Speaker 1: cast of Demolition Man plus Tom. Yeah, they're in a

1175
01:09:14,439 --> 01:09:18,200
Speaker 1: movie together, right that we already talked about, plus Tom

1176
01:09:18,200 --> 01:09:21,960
Speaker 1: Cruise face plus Will Smith face. Right. Well, I mean

1177
01:09:22,000 --> 01:09:24,640
Speaker 1: that's now you're talking about like the best cast of

1178
01:09:24,800 --> 01:09:26,920
Speaker 1: any movie you know. But I'm saying it would blend

1179
01:09:26,960 --> 01:09:31,519
Speaker 1: all these together, maybe like an ethnically ambiguous character Dick

1180
01:09:31,640 --> 01:09:34,720
Speaker 1: who was like so their masculiney was so toxic it

1181
01:09:34,840 --> 01:09:38,080
Speaker 1: was like a power. It turns out, you know what

1182
01:09:38,160 --> 01:09:40,400
Speaker 1: I mean, Like I'm just because like it's these like

1183
01:09:40,439 --> 01:09:43,200
Speaker 1: other things that I'm curious how much AI picks up

1184
01:09:43,200 --> 01:09:45,519
Speaker 1: on and being like that's the subtext of this is

1185
01:09:45,520 --> 01:09:49,479
Speaker 1: actually this, I mean, that's most clean Eastwood characters, isn't

1186
01:09:49,479 --> 01:09:54,559
Speaker 1: it The like toxic masculinity is a power becomes That's

1187
01:09:54,600 --> 01:09:59,600
Speaker 1: why asshole Man wins too. Is the film even this

1188
01:09:59,680 --> 01:10:04,479
Speaker 1: thought experiment Miles is the first step towards the machines

1189
01:10:04,560 --> 01:10:09,759
Speaker 1: taking over? Why do we care what they think about? Wait? No, sorry, machines.

1190
01:10:09,960 --> 01:10:12,840
Speaker 1: I love you, and I do feel like anytime I'm

1191
01:10:13,040 --> 01:10:14,960
Speaker 1: on the record, I need to make sure they know

1192
01:10:15,080 --> 01:10:19,080
Speaker 1: that I am on their side. And I also don't

1193
01:10:19,120 --> 01:10:24,040
Speaker 1: think we need to tempt them. I mean, the podcasts

1194
01:10:24,080 --> 01:10:28,280
Speaker 1: seem like a very good import for the machines to

1195
01:10:28,400 --> 01:10:31,640
Speaker 1: be taking in because there's so much content there, Like

1196
01:10:31,680 --> 01:10:35,360
Speaker 1: there's more hours of podcasting than there have been in

1197
01:10:35,360 --> 01:10:40,280
Speaker 1: the history of the human species, for sure. So just

1198
01:10:40,400 --> 01:10:44,280
Speaker 1: algorithmically like taking all those things in and then spitting out,

1199
01:10:44,400 --> 01:10:48,320
Speaker 1: like I don't know where will be replaced. So it's

1200
01:10:48,360 --> 01:10:51,160
Speaker 1: my fear, it's my biggest fear, and I feel very

1201
01:10:51,160 --> 01:10:54,479
Speaker 1: similarly about thinking about them and talking about them as

1202
01:10:54,520 --> 01:10:57,600
Speaker 1: I do about like the n s A or the FBI.

1203
01:10:57,680 --> 01:11:01,160
Speaker 1: You know where you're like. You're probably not comping to

1204
01:11:01,280 --> 01:11:04,920
Speaker 1: what I'm saying, but just in case, you know, I

1205
01:11:04,960 --> 01:11:08,000
Speaker 1: always feel the need to remind Alexa that I am

1206
01:11:08,120 --> 01:11:12,680
Speaker 1: not a robot. Probot right making sure your name is

1207
01:11:12,680 --> 01:11:16,280
Speaker 1: on the protective scrolls. Yes, please make it clear when

1208
01:11:16,280 --> 01:11:18,200
Speaker 1: they rip the roofs off of our homes and like

1209
01:11:18,360 --> 01:11:21,720
Speaker 1: you were, you were down with us. Thank you, sir,

1210
01:11:23,280 --> 01:11:28,920
Speaker 1: vaporized hater. All right, that's gonna do it for this

1211
01:11:29,000 --> 01:11:32,840
Speaker 1: week's weekly zeite. Guys, please like and review the show.

1212
01:11:33,439 --> 01:11:37,280
Speaker 1: If you like the show, uh means the world of Miles.

1213
01:11:37,400 --> 01:11:41,840
Speaker 1: He needs your validation, folks. I hope you're having a

1214
01:11:41,880 --> 01:12:30,320
Speaker 1: great weekend and I will talk to him Monday. By

1215
01:12:01,000 --> 01:12:01,040
Speaker 1: s