1
00:00:05,559 --> 00:00:09,360
Speaker 1: There's something where that, like Girls Gone Wild was downstream

2
00:00:09,400 --> 00:00:11,960
Speaker 1: of band from TV. I think, what's this Joe Francis,

3
00:00:11,960 --> 00:00:14,520
Speaker 1: Maybe he actually had something to do with band from TV.

4
00:00:15,520 --> 00:00:18,959
Speaker 2: Yeah he did, Yeah, Joe fran But I do I

5
00:00:19,000 --> 00:00:23,320
Speaker 2: do feel like Final Destination is completely downstream from Phases

6
00:00:23,360 --> 00:00:23,680
Speaker 2: of Death.

7
00:00:24,040 --> 00:00:27,520
Speaker 3: Somebody remember the trailer for the very first Final Destination

8
00:00:27,680 --> 00:00:30,440
Speaker 3: with I believe an actor named Devin that.

9
00:00:30,480 --> 00:00:37,600
Speaker 2: Oh yeah, yeah, yes, Oh for life. Man, Yeah, I'm

10
00:00:37,600 --> 00:00:41,960
Speaker 2: a SA Patch kid over here. Ship right, Okay, we

11
00:00:42,040 --> 00:00:44,880
Speaker 2: need to start. No, No, let's keep going. I gotta

12
00:00:46,280 --> 00:00:48,280
Speaker 2: let's keep let this ride.

13
00:00:49,280 --> 00:00:54,280
Speaker 1: Oh man, everyone's talking about the lead and showgun Anna Sawa.

14
00:00:55,960 --> 00:00:57,080
Speaker 2: That's just another name.

15
00:00:58,840 --> 00:01:01,080
Speaker 1: Hey man, I'm trying to get in on fun brom

16
00:01:01,520 --> 00:01:02,800
Speaker 1: It looks like a lot of fun over it.

17
00:01:10,640 --> 00:01:13,959
Speaker 2: Hello the Internet, and welcome the season three eighty nine,

18
00:01:13,959 --> 00:01:17,920
Speaker 2: Episode three of Derd Diey's Guys. It's a production of

19
00:01:17,959 --> 00:01:20,520
Speaker 2: iHeart Radio. It's a podcast where you take a deep

20
00:01:20,560 --> 00:01:22,000
Speaker 2: dive into American share consciousness.

21
00:01:22,000 --> 00:01:22,200
Speaker 3: It is.

22
00:01:22,200 --> 00:01:25,399
Speaker 2: I'm just in a random conference room in the iHeart

23
00:01:25,520 --> 00:01:30,399
Speaker 2: Radio HQ screaming dirt. Daily's like guys, Securities band on

24
00:01:30,440 --> 00:01:30,720
Speaker 2: the door.

25
00:01:31,680 --> 00:01:35,600
Speaker 1: I can see them through the glass window, Sir, I

26
00:01:35,640 --> 00:01:37,640
Speaker 1: put my back to the glass window, so I wouldn't

27
00:01:37,680 --> 00:01:41,200
Speaker 1: like make eye contact with any corporate people. They like

28
00:01:41,280 --> 00:01:43,440
Speaker 1: walked by, you know, they're like, who's that guy? He's

29
00:01:43,440 --> 00:01:48,080
Speaker 1: a fighting a podcaster that works here. Damn they let

30
00:01:48,080 --> 00:01:49,200
Speaker 1: them in this building they do.

31
00:01:49,440 --> 00:01:52,600
Speaker 2: It is Wednesday, May twenty, twenty twenty five.

32
00:01:52,800 --> 00:01:55,920
Speaker 1: Oh my god, big day. It's National Juice Slush Day.

33
00:01:56,000 --> 00:01:58,400
Speaker 1: If you like a slushyet, it's your day. Although it

34
00:01:58,560 --> 00:02:01,320
Speaker 1: is juice slush so maybe it's like the juice. It's

35
00:02:01,320 --> 00:02:04,280
Speaker 1: probably the unbranded because like slushy, I think is a

36
00:02:04,320 --> 00:02:08,000
Speaker 1: brand or something. So it's like frozen flavor shit. That

37
00:02:08,280 --> 00:02:11,639
Speaker 1: for the for the kids, Uh, Emergency Medical Services for

38
00:02:11,760 --> 00:02:14,960
Speaker 1: Children Day, National Memo Day, National Weight Staff Day, and

39
00:02:15,080 --> 00:02:18,320
Speaker 1: National Strawberries and Cream Day.

40
00:02:19,240 --> 00:02:25,080
Speaker 2: You need to delicious ones. I'm here for National Memo Day. Yeah,

41
00:02:25,800 --> 00:02:29,120
Speaker 2: what a blast. We all love a good memo.

42
00:02:29,600 --> 00:02:34,560
Speaker 1: Does the memo exist anymore like formally within business, you know,

43
00:02:34,639 --> 00:02:37,280
Speaker 1: like because now like that's an email or that's like

44
00:02:37,360 --> 00:02:40,600
Speaker 1: a slack, you know what I mean? Like the idea

45
00:02:40,639 --> 00:02:43,520
Speaker 1: of like the memorandom what are you that?

46
00:02:44,000 --> 00:02:46,200
Speaker 2: Soy memorandum? Yeah? Sorry?

47
00:02:46,240 --> 00:02:48,239
Speaker 1: Memory soy random? Yeah, I don't.

48
00:02:48,240 --> 00:02:51,120
Speaker 2: I don't even know, like those templates, these little pink

49
00:02:51,120 --> 00:02:54,960
Speaker 2: sheets that, yeah, what were the original memos?

50
00:02:55,120 --> 00:02:55,880
Speaker 3: I actually don't know.

51
00:02:56,240 --> 00:02:58,919
Speaker 1: It was just literally like a note, like a short

52
00:02:59,240 --> 00:03:03,040
Speaker 1: document again intended to inform a group of people about

53
00:03:03,040 --> 00:03:05,919
Speaker 1: a specific topic. A memo, madia note, email, or other

54
00:03:06,040 --> 00:03:06,720
Speaker 1: record made.

55
00:03:06,600 --> 00:03:08,320
Speaker 2: For Yeah, that's what I think of it as, just

56
00:03:08,360 --> 00:03:13,040
Speaker 2: like any note, yeah yeah, or like in many ways,

57
00:03:13,040 --> 00:03:16,040
Speaker 2: it's just it's all it has taken over our world,

58
00:03:16,400 --> 00:03:19,640
Speaker 2: and I'm glad it's finally getting a day that we recognize.

59
00:03:19,760 --> 00:03:21,760
Speaker 2: They're like now I can't even buy a memo pad.

60
00:03:22,360 --> 00:03:26,880
Speaker 2: Everybody's tweeting off all these little memos constantly all day.

61
00:03:27,160 --> 00:03:32,680
Speaker 2: M hmmm hm. Anyways, my name's Jack O'Brien aka, and

62
00:03:32,840 --> 00:03:35,360
Speaker 2: he will blame it all.

63
00:03:35,280 --> 00:03:42,880
Speaker 4: On wooder Ice swear it's not a blader leak. Make

64
00:03:43,080 --> 00:03:48,200
Speaker 4: you two not like it's fine and wish that he

65
00:03:48,480 --> 00:03:50,760
Speaker 4: had won some.

66
00:03:51,040 --> 00:03:55,160
Speaker 2: Depends that one's lessons here on the discord the popular

67
00:03:55,280 --> 00:03:59,400
Speaker 2: hymn on Eagles Wings. But yes, I have probably heard

68
00:03:59,480 --> 00:04:03,520
Speaker 2: as much as any song in the history of my life,

69
00:04:03,760 --> 00:04:09,600
Speaker 2: because Wow, every Sunday man that ship was popping standard standard,

70
00:04:09,800 --> 00:04:12,200
Speaker 2: a standard thrilled to be joined as always by my

71
00:04:12,240 --> 00:04:14,280
Speaker 2: co host, mister Miles.

72
00:04:13,880 --> 00:04:20,760
Speaker 5: Grays aka ungrouped to day ha, hallucination.

73
00:04:21,960 --> 00:04:26,920
Speaker 1: I'm working late because I'm a singer. Okay, that's it,

74
00:04:27,040 --> 00:04:30,000
Speaker 1: panoramic view. Thank you for that, AKA, I just that's

75
00:04:30,760 --> 00:04:32,880
Speaker 1: I asked you on the discord. I asked, and I said,

76
00:04:32,880 --> 00:04:36,240
Speaker 1: what is it meant to just be grock today? Hallucination?

77
00:04:36,279 --> 00:04:38,080
Speaker 1: I'm working late because I'm a singer. It's like, yeah,

78
00:04:38,200 --> 00:04:40,040
Speaker 1: I couldn't make the rest work. I'm sorry, I said, no,

79
00:04:40,120 --> 00:04:41,360
Speaker 1: this is perfect because.

80
00:04:41,120 --> 00:04:42,880
Speaker 2: I love a simple panoramic view. Dude.

81
00:04:43,000 --> 00:04:46,320
Speaker 1: Because I'm a singer is I think my favorite like

82
00:04:46,480 --> 00:04:47,640
Speaker 1: lyric in espresso.

83
00:04:47,800 --> 00:04:48,400
Speaker 2: It's just like.

84
00:04:48,320 --> 00:04:51,599
Speaker 1: I'm working because I'm a singer.

85
00:04:52,000 --> 00:04:53,479
Speaker 2: Yeah, no.

86
00:04:55,160 --> 00:04:55,320
Speaker 6: More.

87
00:04:55,600 --> 00:05:01,440
Speaker 2: More musicians should just talk about how there's singersavorite songs

88
00:05:01,440 --> 00:05:04,320
Speaker 2: are those hard rock songs. They are like so fucking

89
00:05:04,440 --> 00:05:07,880
Speaker 2: hard man being on the road. Yeah, people make fun

90
00:05:07,920 --> 00:05:12,880
Speaker 2: of my long hair. You don't understand the guys say,

91
00:05:13,400 --> 00:05:16,520
Speaker 2: is that a hear a hymn the other day? Do

92
00:05:16,560 --> 00:05:18,760
Speaker 2: you know the song I'm talking about? Age?

93
00:05:19,279 --> 00:05:22,840
Speaker 3: I was about to say, the echoes of the amplifier

94
00:05:22,960 --> 00:05:23,800
Speaker 3: ringing in my head?

95
00:05:23,880 --> 00:05:27,479
Speaker 2: Yeah, yeah, yeah, smoke. The day's last cigarette, wondering what

96
00:05:27,600 --> 00:05:33,080
Speaker 2: she say? Yeah, yeah, as covered amazingly by the one

97
00:05:33,080 --> 00:05:38,120
Speaker 2: and only Metallica, and then it's a jam that Metallica

98
00:05:38,160 --> 00:05:38,640
Speaker 2: then covered.

99
00:05:38,720 --> 00:05:41,440
Speaker 3: Yeah dude, Oh, I actually heard it for the first

100
00:05:41,440 --> 00:05:44,320
Speaker 3: time as a Metallica song, so I will never get

101
00:05:44,320 --> 00:05:45,279
Speaker 3: that version out of my head.

102
00:05:45,600 --> 00:05:48,520
Speaker 2: It feels like they're reaching so hard to like try

103
00:05:48,560 --> 00:05:52,880
Speaker 2: and find some like hardships that they're enduring as internationally.

104
00:05:53,000 --> 00:05:56,760
Speaker 2: During rock stars, you're just like, are like and then

105
00:05:56,839 --> 00:06:00,599
Speaker 2: all these like beautiful women are fighting over you. It's

106
00:06:00,720 --> 00:06:05,600
Speaker 2: very chaotic, you know, people try and give you their drugs.

107
00:06:05,680 --> 00:06:08,600
Speaker 2: I watched their documentary Some Kind of Monster on.

108
00:06:08,560 --> 00:06:11,359
Speaker 3: A yearly basis. That's probably my favorite music documentary of

109
00:06:11,360 --> 00:06:11,680
Speaker 3: all time.

110
00:06:11,760 --> 00:06:13,560
Speaker 1: You think James Headfield is like, man, we need a

111
00:06:13,600 --> 00:06:16,080
Speaker 1: song about fucking hard it is to be Metallica.

112
00:06:16,160 --> 00:06:19,760
Speaker 2: Man, if you don't fucking know and you don't know,

113
00:06:19,839 --> 00:06:21,680
Speaker 2: man can't move to vail.

114
00:06:22,839 --> 00:06:25,400
Speaker 1: They're like, they're like, fuck it, man, did another artist

115
00:06:25,400 --> 00:06:27,120
Speaker 1: write about how hard it is being a rock star?

116
00:06:27,160 --> 00:06:30,640
Speaker 2: Right, we'll just cover that. I espresso just being like Kauz,

117
00:06:30,640 --> 00:06:34,719
Speaker 2: I'm a singer, Yeah exactly. I'm working late because I'm

118
00:06:34,760 --> 00:06:38,080
Speaker 2: a singer. Okay, what else hard?

119
00:06:38,520 --> 00:06:40,520
Speaker 3: Yeah, you just want to just want to hunt some

120
00:06:40,600 --> 00:06:44,320
Speaker 3: elk and drive your whatever the rocket the powered card

121
00:06:44,360 --> 00:06:45,880
Speaker 3: thing that is that he drives. I know way too

122
00:06:45,920 --> 00:06:48,360
Speaker 3: much about that band, So we could just do a podcast.

123
00:06:48,400 --> 00:06:51,200
Speaker 2: Who had a rocket powered car? James Hetfield.

124
00:06:51,320 --> 00:06:53,320
Speaker 3: It's in some kind of monster He gets pulled over

125
00:06:53,640 --> 00:06:55,680
Speaker 3: by a cop and then the cop recognizes him and

126
00:06:55,720 --> 00:06:57,520
Speaker 3: it's a whole thing, and he like has this moment

127
00:06:57,560 --> 00:06:59,480
Speaker 3: where he's like, what do I expect?

128
00:06:59,520 --> 00:06:59,720
Speaker 2: Is it?

129
00:06:59,800 --> 00:06:59,880
Speaker 1: Like?

130
00:07:00,080 --> 00:07:02,560
Speaker 3: I ride this thing? And because I don't want to

131
00:07:02,560 --> 00:07:03,920
Speaker 3: be noticed. It's like.

132
00:07:06,720 --> 00:07:12,360
Speaker 2: It's kind of amazing. It's like I think I'm a narcissist.

133
00:07:12,640 --> 00:07:14,400
Speaker 3: And then they cut to Lars just like on the

134
00:07:14,400 --> 00:07:16,000
Speaker 3: couch is talking about his paintings.

135
00:07:16,320 --> 00:07:22,920
Speaker 2: Yeah, Miles, that's third voice. One of our feudis an actor,

136
00:07:23,320 --> 00:07:28,360
Speaker 2: voiceover artist, musician who stars in the certified fresh Hulu

137
00:07:28,400 --> 00:07:31,680
Speaker 2: series Deli Boys. Also it has a good Metacritics score.

138
00:07:31,720 --> 00:07:34,600
Speaker 2: We're a Metacritic podcast here. You've seen him as Ausie

139
00:07:34,680 --> 00:07:38,720
Speaker 2: and the film Aftermath on Netflix. He's been nominated for

140
00:07:38,840 --> 00:07:41,320
Speaker 2: an Ambi and Webby as a podcaster. He's a world

141
00:07:41,400 --> 00:07:44,360
Speaker 2: renowned rock guitarist. You know his face from Mortal Kombat.

142
00:07:44,600 --> 00:07:47,320
Speaker 2: Please welcome back to the show. Shot Ja Hon Kong.

143
00:07:49,840 --> 00:07:53,240
Speaker 3: Coming to you live from the shores of Boston, Massachusetts.

144
00:07:53,240 --> 00:07:58,640
Speaker 3: A right as planes fly overhead. Yeah, shout out logan. Yeah,

145
00:07:58,640 --> 00:07:59,480
Speaker 3: I'm looking at it.

146
00:07:59,520 --> 00:08:01,960
Speaker 1: Here it is there is there Isn't there like a

147
00:08:01,960 --> 00:08:05,280
Speaker 1: pyramid shaped hotel in Boston somewhere like on the heart

148
00:08:05,360 --> 00:08:05,840
Speaker 1: Is there.

149
00:08:05,640 --> 00:08:08,760
Speaker 2: A peer There's a like a wacky formerly known as

150
00:08:08,800 --> 00:08:14,280
Speaker 2: when Encore casino. There's a very orientalist Dodge Mahall type

151
00:08:14,320 --> 00:08:18,320
Speaker 2: situation casino. Oh, I don't know that there's a pyramid

152
00:08:18,360 --> 00:08:22,920
Speaker 2: shaped hotel. There's a there's an iconic harbor hotel in Boston.

153
00:08:23,560 --> 00:08:25,440
Speaker 2: I think I know what you're talking about.

154
00:08:25,600 --> 00:08:30,560
Speaker 1: Yeah, it's Oh it's the Regency Boston, and.

155
00:08:30,520 --> 00:08:32,400
Speaker 2: It's got that big like the one that's on the

156
00:08:32,760 --> 00:08:35,760
Speaker 2: the one that's on Logan. It's on the water yeah,

157
00:08:35,880 --> 00:08:37,160
Speaker 2: Logan Campus. Yeah.

158
00:08:37,240 --> 00:08:39,800
Speaker 3: Yeah, maybe any Boston people are going to probably be

159
00:08:39,920 --> 00:08:41,400
Speaker 3: thinking that I don't know the hell I'm talking about.

160
00:08:41,559 --> 00:08:43,520
Speaker 5: I just remember when I was when I'm talking about

161
00:08:43,520 --> 00:08:44,920
Speaker 5: the one with a big arch in it and then

162
00:08:44,960 --> 00:08:47,120
Speaker 5: like a little Taj Mahall type thing on the like

163
00:08:47,480 --> 00:08:50,120
Speaker 5: a little bit that's that's that's the casino.

164
00:08:50,320 --> 00:08:53,280
Speaker 3: That's the Encore casino that I was talking about. There

165
00:08:53,360 --> 00:08:54,520
Speaker 3: is also a hotel.

166
00:08:54,200 --> 00:08:55,320
Speaker 1: I'm talking about this thing.

167
00:08:56,080 --> 00:09:00,520
Speaker 2: Oh yeah, of course it's on the fucking child dude.

168
00:09:00,880 --> 00:09:06,280
Speaker 1: Yeah, exactly, of course, because that's like the.

169
00:09:06,120 --> 00:09:08,600
Speaker 2: Only situation you should have You should have said the

170
00:09:08,600 --> 00:09:13,320
Speaker 2: double step laddery pyramid.

171
00:09:15,360 --> 00:09:19,320
Speaker 1: Yeah, sorry, I should have said a Mesopotamian rectangular structure.

172
00:09:18,960 --> 00:09:21,720
Speaker 3: Right, Yeah, that that I would have read that ignorance.

173
00:09:22,200 --> 00:09:24,240
Speaker 3: And my father went to m I T right down

174
00:09:24,240 --> 00:09:26,360
Speaker 3: the road from that. So I'm an embarrassedment not only

175
00:09:26,400 --> 00:09:31,880
Speaker 3: to my city, but my family to super Flex. My

176
00:09:32,000 --> 00:09:33,040
Speaker 3: dad worked for Kodak.

177
00:09:34,520 --> 00:09:39,440
Speaker 2: Yeah that's right. Ever heard of it anymore? Because they

178
00:09:39,520 --> 00:09:42,040
Speaker 2: invented the digital camera and then kind of fund themselves.

179
00:09:43,240 --> 00:09:46,880
Speaker 1: They kind of yea, they sort of skyped themselves out

180
00:09:46,880 --> 00:09:47,280
Speaker 1: of the game.

181
00:09:47,480 --> 00:09:50,560
Speaker 3: Yeah yeah, yeah, maybe he lost his pension. Moving on.

182
00:09:50,640 --> 00:09:54,439
Speaker 2: Oh no, have you been? It sounds sounds like busy, Ben,

183
00:09:55,040 --> 00:09:55,360
Speaker 2: I've been.

184
00:09:55,360 --> 00:09:58,839
Speaker 3: Okay, man, I've been. Uh, you know, I'm sure we'll

185
00:09:58,880 --> 00:10:02,359
Speaker 3: get into how we're all really doing. But yeah, Fortunately,

186
00:10:02,400 --> 00:10:04,960
Speaker 3: the last few years from a career standpoint, have been

187
00:10:05,000 --> 00:10:07,920
Speaker 3: a dream come true in many ways. I'm doing a

188
00:10:07,920 --> 00:10:10,800
Speaker 3: lot of things I always wanted to do. I'm very

189
00:10:10,840 --> 00:10:16,120
Speaker 3: much still a struggling artist, and I'm yeah, I'm alive man.

190
00:10:16,600 --> 00:10:19,640
Speaker 2: Yeah, hey, there it is. That's what we need. Some

191
00:10:19,640 --> 00:10:21,440
Speaker 2: people don't understand how hard it is to be a

192
00:10:21,440 --> 00:10:23,280
Speaker 2: struggling are they really out here on?

193
00:10:23,320 --> 00:10:26,120
Speaker 3: They should really refer to this song Turn the Page

194
00:10:26,120 --> 00:10:29,200
Speaker 3: by Bob Seeker slash Metallica to really understand.

195
00:10:29,640 --> 00:10:32,079
Speaker 2: You're like in first class and everyone's looking at you

196
00:10:32,120 --> 00:10:34,920
Speaker 2: because they're like, I know, I recognize them from somewhere,

197
00:10:35,080 --> 00:10:38,400
Speaker 2: and you're like, yeah, but do they like recognize me, like,

198
00:10:38,440 --> 00:10:41,440
Speaker 2: do they actually first see me? I mean scrounging for

199
00:10:41,520 --> 00:10:43,920
Speaker 2: peanuts in first class?

200
00:10:44,000 --> 00:10:44,160
Speaker 7: Yees?

201
00:10:44,240 --> 00:10:49,079
Speaker 2: Yeah, yeah that's what I meant. Yeah, I'm still chewing

202
00:10:49,120 --> 00:10:53,640
Speaker 2: the ice. I've never been first I have been one

203
00:10:53,800 --> 00:10:57,040
Speaker 2: in the once in my entire life. My family got

204
00:10:57,120 --> 00:11:00,480
Speaker 2: upgraded to business class on the trip to Pakistan back

205
00:11:00,559 --> 00:11:04,559
Speaker 2: when what a British Airways still flew to Pakistan.

206
00:11:04,800 --> 00:11:08,040
Speaker 3: But I have never never flown first class ever. I'm

207
00:11:08,080 --> 00:11:09,840
Speaker 3: not saying I won't, so, I mean, if anybody wants

208
00:11:09,840 --> 00:11:11,720
Speaker 3: to hook that up like I'm down, I mean, but

209
00:11:11,920 --> 00:11:15,400
Speaker 3: surely you're hiring them from succession man. Yeah, got he's

210
00:11:15,400 --> 00:11:18,120
Speaker 3: got its first file. First, it wasn't that I lied

211
00:11:18,120 --> 00:11:19,960
Speaker 3: and said I was a New York local and you know,

212
00:11:20,480 --> 00:11:23,160
Speaker 3: packed for days of a day of work and realized

213
00:11:23,160 --> 00:11:24,400
Speaker 3: that I was going to be there for a week,

214
00:11:24,440 --> 00:11:26,559
Speaker 3: and then basically had one pair of socks and had

215
00:11:26,559 --> 00:11:27,840
Speaker 3: to like it was yeah, oh.

216
00:11:27,760 --> 00:11:28,520
Speaker 2: Did you have to? Oh?

217
00:11:28,600 --> 00:11:31,000
Speaker 1: Were they only casting like New York locals for that?

218
00:11:31,040 --> 00:11:34,240
Speaker 3: And You're like, yeah, it was my first job that

219
00:11:34,320 --> 00:11:37,280
Speaker 3: my manage I had booked. I'd done these this film

220
00:11:37,320 --> 00:11:40,760
Speaker 3: Aftermath in twenty twenty one. Uh, and then I did

221
00:11:40,760 --> 00:11:43,480
Speaker 3: this like Lifetime Murder Mystery. Those are my two things

222
00:11:43,520 --> 00:11:46,400
Speaker 3: where I actually got lines and stuff. And then after that,

223
00:11:46,480 --> 00:11:49,000
Speaker 3: my local Boston agent we were like, yeah, maybe we

224
00:11:49,000 --> 00:11:50,360
Speaker 3: should try to get a manager. I was like, so

225
00:11:50,360 --> 00:11:51,880
Speaker 3: how do I do that? Do I just like ask

226
00:11:51,960 --> 00:11:54,480
Speaker 3: other actors like, hey, can I have your manager? It

227
00:11:54,520 --> 00:11:55,160
Speaker 3: didn't really work.

228
00:11:55,600 --> 00:11:57,560
Speaker 1: So they're like, well, if you don't look like me, Yeah,

229
00:11:58,160 --> 00:12:00,480
Speaker 1: that's what happens when you ask other people like, hey,

230
00:12:00,480 --> 00:12:02,560
Speaker 1: how's your manager, and like, well, they're kind of you know,

231
00:12:02,760 --> 00:12:04,360
Speaker 1: we would kind of be going out for the same stuff,

232
00:12:04,360 --> 00:12:05,440
Speaker 1: so maybe fuck off.

233
00:12:06,559 --> 00:12:08,680
Speaker 2: You know, we already got a couple of Pakistanis, so

234
00:12:08,720 --> 00:12:11,880
Speaker 2: the quota has been filled, maybe we could move, but yeah,

235
00:12:11,920 --> 00:12:14,920
Speaker 2: I started. I was then connected to my awesome manager,

236
00:12:14,960 --> 00:12:18,240
Speaker 2: Melissa Young, and you know, the first job we booked

237
00:12:18,520 --> 00:12:21,760
Speaker 2: was this character lean on Succession, supposed to be party

238
00:12:21,800 --> 00:12:24,000
Speaker 2: guest number four. You never know what these coasts and

239
00:12:24,000 --> 00:12:25,960
Speaker 2: it's my first ever TV booking. You never know what

240
00:12:25,960 --> 00:12:30,040
Speaker 2: these co star roles. I literally got the email. I

241
00:12:30,160 --> 00:12:32,720
Speaker 2: just jumped in my car and started driving. I was like, yeah,

242
00:12:32,760 --> 00:12:34,600
Speaker 2: it's like one line, it'll be like a day team.

243
00:12:35,160 --> 00:12:36,920
Speaker 2: I got there and she was like no, No. On the

244
00:12:36,960 --> 00:12:38,640
Speaker 2: way she's like, yeah, it's a five day booking. I

245
00:12:38,679 --> 00:12:39,600
Speaker 2: was like, oh okay.

246
00:12:40,200 --> 00:12:42,240
Speaker 3: And then in the email somewhere it was something about

247
00:12:42,240 --> 00:12:43,880
Speaker 3: a green room and I was like, yeah, that means

248
00:12:43,920 --> 00:12:46,200
Speaker 3: like we're all the background actors sit together and you know,

249
00:12:46,320 --> 00:12:49,120
Speaker 3: like we just chill. And I got there first day

250
00:12:49,120 --> 00:12:50,360
Speaker 3: and it was like no, no, you have your own

251
00:12:50,360 --> 00:12:53,880
Speaker 3: hotel room with the cast is on the same floor

252
00:12:53,920 --> 00:12:56,920
Speaker 3: as you and I then from there just my mind

253
00:12:56,920 --> 00:12:58,959
Speaker 3: has continued to be blown. Everybody was super cool, but

254
00:12:59,000 --> 00:13:00,960
Speaker 3: I literally, dude, I packed for two days. I had

255
00:13:00,960 --> 00:13:04,400
Speaker 3: two pairs of boxers, two pairs of socks. I didn't

256
00:13:04,400 --> 00:13:08,600
Speaker 3: have enough clothes, so I like wore the bathrobe like

257
00:13:08,840 --> 00:13:12,400
Speaker 3: in the room. I like, people like, why don't we

258
00:13:12,480 --> 00:13:15,079
Speaker 3: just even go to Target and like buy other stuff.

259
00:13:15,080 --> 00:13:16,840
Speaker 3: I was like, you don't understand, like I was trying

260
00:13:16,880 --> 00:13:20,160
Speaker 3: to save money, dude, Yeah, I so it was. It

261
00:13:20,240 --> 00:13:22,320
Speaker 3: was a wild oh and I put one of the

262
00:13:22,360 --> 00:13:25,960
Speaker 3: dirty socks. I'm not told the story publicly, so here

263
00:13:26,000 --> 00:13:28,400
Speaker 3: we go. I put one of my dirty socks, like

264
00:13:28,720 --> 00:13:31,880
Speaker 3: to air it out, like I opened the window in

265
00:13:31,960 --> 00:13:38,040
Speaker 3: the room everything, and then the sock fell like it was.

266
00:13:38,000 --> 00:13:44,319
Speaker 2: A while still there. It's probably the still always air.

267
00:13:45,280 --> 00:13:47,840
Speaker 2: What do you mean I always leave my shoes outside too, Yeah,

268
00:13:47,960 --> 00:13:48,400
Speaker 2: because I.

269
00:13:48,360 --> 00:13:50,360
Speaker 3: Just do it. I got a foot sweat thing. It's like, yeah,

270
00:13:51,360 --> 00:13:54,319
Speaker 3: said thank you jack.

271
00:13:56,800 --> 00:13:59,960
Speaker 2: Swat have clear like you know, I have very formative

272
00:14:00,080 --> 00:14:03,720
Speaker 2: memories from you know, basketball camp when I was ten

273
00:14:04,000 --> 00:14:08,600
Speaker 2: eleven and just everybody on the entire dorm floor that

274
00:14:08,679 --> 00:14:11,800
Speaker 2: I was staying with being like what the fuck is

275
00:14:11,840 --> 00:14:15,360
Speaker 2: that smell? And then like just dirty figure out it

276
00:14:15,400 --> 00:14:16,959
Speaker 2: was me and you.

277
00:14:16,960 --> 00:14:19,720
Speaker 3: Just trigged to memory someone before I dropped out of

278
00:14:19,720 --> 00:14:23,520
Speaker 3: calls the first time. I'm a trifecta of a dropout.

279
00:14:23,600 --> 00:14:25,400
Speaker 3: A girl I think her name was Anya. She once

280
00:14:25,520 --> 00:14:27,240
Speaker 3: entered me in my poor roommate.

281
00:14:27,000 --> 00:14:29,840
Speaker 2: Darren's room, was like, Hey, your guy's room always smells

282
00:14:29,840 --> 00:14:30,760
Speaker 2: like dirty socks?

283
00:14:31,000 --> 00:14:31,680
Speaker 3: What's up with that?

284
00:14:31,720 --> 00:14:35,200
Speaker 2: Is that? What is that? Yeah?

285
00:14:35,440 --> 00:14:37,440
Speaker 3: Are you an arm and hammer foot powder user?

286
00:14:37,800 --> 00:14:37,920
Speaker 2: Oh?

287
00:14:38,000 --> 00:14:39,600
Speaker 3: Yeah, travel size you know what I'm talking about?

288
00:14:39,680 --> 00:14:44,560
Speaker 1: Yeah, yeah, of course, no way, guys are both the

289
00:14:44,640 --> 00:14:45,200
Speaker 1: same person.

290
00:14:45,720 --> 00:14:48,680
Speaker 2: Like, yeah, you know either the army. Yeah, it's a

291
00:14:48,800 --> 00:14:52,880
Speaker 2: very specific thing. Yeah, I know, overpacked socks. So like

292
00:14:53,000 --> 00:14:56,480
Speaker 2: as you were talking about like having that experience, I

293
00:14:56,520 --> 00:15:00,360
Speaker 2: was like sweating panic. Who's the wrapper from Ribs?

294
00:15:00,360 --> 00:15:00,560
Speaker 4: Who?

295
00:15:00,600 --> 00:15:02,760
Speaker 3: Was like, you know what, I got famous so that

296
00:15:02,800 --> 00:15:04,680
Speaker 3: I could wear a new pair of socks every day?

297
00:15:05,320 --> 00:15:05,760
Speaker 2: Oh that?

298
00:15:06,000 --> 00:15:07,480
Speaker 3: Do you remember this episode? No?

299
00:15:07,640 --> 00:15:11,840
Speaker 1: Yeah, I mean it feels like a very Cribs thing. Yeah,

300
00:15:11,920 --> 00:15:14,840
Speaker 1: I mean Redman is the most memorable one, but I

301
00:15:14,840 --> 00:15:15,840
Speaker 1: don't know, but he would.

302
00:15:15,960 --> 00:15:19,760
Speaker 2: Yeah, he's just got frozen pizzas and stuff, and he's

303
00:15:19,760 --> 00:15:25,840
Speaker 2: like playing against sixty four on the couch. Sleep all right,

304
00:15:26,640 --> 00:15:28,440
Speaker 2: cha Jaham. We're gonna get to know you a little

305
00:15:28,440 --> 00:15:30,040
Speaker 2: bit better in a moment. First, a couple of the

306
00:15:30,080 --> 00:15:32,600
Speaker 2: stories we're talking about. We're gonna I'm hearing more and

307
00:15:32,600 --> 00:15:36,200
Speaker 2: more about this AI stuff. Yeah, yeah, and we're gonna

308
00:15:36,280 --> 00:15:43,520
Speaker 2: look at yeah good, really good. It seems like everybody's

309
00:15:43,680 --> 00:15:44,400
Speaker 2: doing positive.

310
00:15:44,440 --> 00:15:48,760
Speaker 5: Seems like you better step your game up. Gray, that's

311
00:15:49,800 --> 00:15:53,360
Speaker 5: that we talk about this. You can't even apply some pressure.

312
00:15:54,040 --> 00:15:58,440
Speaker 5: It's it just it feels like everybody is going to

313
00:15:58,440 --> 00:16:01,040
Speaker 5: our at least bad managers are going to overextend on

314
00:16:01,080 --> 00:16:05,120
Speaker 5: this and it's break whatever product they sell to people.

315
00:16:05,360 --> 00:16:08,000
Speaker 2: But now we have but now we have proof. Yeah,

316
00:16:08,040 --> 00:16:10,080
Speaker 2: now we have proof, and we have an example of

317
00:16:10,120 --> 00:16:12,800
Speaker 2: like how they're going to back out of it and

318
00:16:12,800 --> 00:16:17,000
Speaker 2: they hate a surprise surprise. It's bad for us, bad

319
00:16:17,120 --> 00:16:19,480
Speaker 2: for all people. So we'll talk about that. We'll talk

320
00:16:19,520 --> 00:16:23,280
Speaker 2: about the Democratic Party. We'll talk about some facial recognition

321
00:16:23,920 --> 00:16:27,920
Speaker 2: cameras technology being used in New Orleans, just a fucking

322
00:16:28,000 --> 00:16:33,040
Speaker 2: dragnet of like terminator heads up displays in New Orleans.

323
00:16:33,760 --> 00:16:38,040
Speaker 2: Some staffing cuts that are actually killing people, some of

324
00:16:38,040 --> 00:16:42,080
Speaker 2: those Trump staffing cuts that are killing people via a tornado,

325
00:16:42,600 --> 00:16:45,600
Speaker 2: the most dramatic way someone can be killed, I feel like.

326
00:16:46,120 --> 00:16:49,640
Speaker 2: And maybe we'll talk about that new Jurassic World trailer

327
00:16:50,200 --> 00:16:54,040
Speaker 2: and Sesame Street all that anymore, probably we're not getting

328
00:16:54,040 --> 00:16:57,560
Speaker 2: all that with you. But before we get to that,

329
00:16:57,640 --> 00:17:00,280
Speaker 2: shah Jahan, we do like to ask our guests, what

330
00:17:00,560 --> 00:17:04,320
Speaker 2: is something from your search history that's revealing about who

331
00:17:04,320 --> 00:17:04,600
Speaker 2: you are?

332
00:17:05,359 --> 00:17:08,159
Speaker 3: The last thing that I in my search history was

333
00:17:08,240 --> 00:17:13,280
Speaker 3: the benefits of freezing one's credit. I recently got kicked

334
00:17:13,320 --> 00:17:16,480
Speaker 3: off of my student loan repayment program, and yeah, I

335
00:17:16,520 --> 00:17:18,280
Speaker 3: just went down this rabbit hole of what the fuck

336
00:17:18,320 --> 00:17:21,000
Speaker 3: am I going to do? So yeah, I mean I

337
00:17:21,040 --> 00:17:23,320
Speaker 3: would there's many more interesting things about me.

338
00:17:23,640 --> 00:17:25,879
Speaker 2: Yeah, yeah, but that's what I've just one of my

339
00:17:25,960 --> 00:17:28,720
Speaker 2: top fears right now. God, wait, so how did you

340
00:17:28,760 --> 00:17:32,000
Speaker 2: get kicked off? The dude? It was the worst possible

341
00:17:32,040 --> 00:17:34,959
Speaker 2: sequence of events. So this year, because these assholes are

342
00:17:34,960 --> 00:17:37,600
Speaker 2: trying to get rid of all these income based repayment programs.

343
00:17:38,359 --> 00:17:41,240
Speaker 2: Right before they announced this, it turned out last year

344
00:17:41,280 --> 00:17:42,960
Speaker 2: was the first year that my wife and I filed

345
00:17:42,960 --> 00:17:46,479
Speaker 2: our taxes together, and I screwed myself by doing that

346
00:17:46,520 --> 00:17:50,199
Speaker 2: because I made whatever a fraction, oh they consider is

347
00:17:50,240 --> 00:17:52,600
Speaker 2: too much to let you know. So then I basically

348
00:17:52,640 --> 00:17:55,000
Speaker 2: got kicked off. And that was right at the time

349
00:17:55,000 --> 00:17:57,800
Speaker 2: where they froze the whole system, so I couldn't get

350
00:17:57,840 --> 00:18:00,720
Speaker 2: back on to like try to amend did and stuff,

351
00:18:00,720 --> 00:18:04,000
Speaker 2: and so we're basically just I went into forbearans like

352
00:18:04,080 --> 00:18:07,320
Speaker 2: millions of other you know, borers, and we're just kind

353
00:18:07,320 --> 00:18:09,120
Speaker 2: of waiting to see what happens next year. But it's

354
00:18:09,240 --> 00:18:10,040
Speaker 2: it's not looking good.

355
00:18:10,119 --> 00:18:11,399
Speaker 3: You know. I was looking I mean, I was, as

356
00:18:11,440 --> 00:18:13,560
Speaker 3: I said, I'm an artist. I was making the minimum payment,

357
00:18:13,640 --> 00:18:16,240
Speaker 3: so I was I hadn't missed a payment in ten

358
00:18:16,480 --> 00:18:20,439
Speaker 3: twelve years. If I if the IDR program still exists

359
00:18:20,480 --> 00:18:23,200
Speaker 3: next year, technically I could go back on it, I think,

360
00:18:23,240 --> 00:18:26,000
Speaker 3: and they wouldn't. I could pick up where I left off.

361
00:18:26,440 --> 00:18:29,600
Speaker 3: But you know, it's all up in the air, like right, really,

362
00:18:29,840 --> 00:18:32,520
Speaker 3: who knows, Yeah, it's gonna happen like this somehow.

363
00:18:32,560 --> 00:18:35,199
Speaker 1: The Trumpian solution is like some goon friend of his

364
00:18:35,400 --> 00:18:37,960
Speaker 1: with like a debt consolidation companies, You want me.

365
00:18:37,880 --> 00:18:40,040
Speaker 2: To handle all these and he's like yeah, yeah, yeah, yeah,

366
00:18:40,119 --> 00:18:41,840
Speaker 2: I get private. Yeah.

367
00:18:41,840 --> 00:18:43,760
Speaker 3: So that's why that was in my my search history.

368
00:18:43,800 --> 00:18:44,159
Speaker 1: I don't know what.

369
00:18:44,200 --> 00:18:46,960
Speaker 3: Then went to freezing credit and unfreezing credit. Yeah, I

370
00:18:46,960 --> 00:18:50,240
Speaker 3: just was going down down the path of doom.

371
00:18:50,280 --> 00:18:51,879
Speaker 1: And if it does fuck my credit up, how do

372
00:18:51,920 --> 00:18:53,159
Speaker 1: I freeze my credit?

373
00:18:53,800 --> 00:18:56,560
Speaker 2: Yeah, exactly. I see that. I see that path. It's

374
00:18:56,640 --> 00:18:59,959
Speaker 2: it's a cool content and cloning myself.

375
00:18:59,440 --> 00:19:02,800
Speaker 3: To steal my own identity and interesting.

376
00:19:03,080 --> 00:19:06,880
Speaker 2: Now you're thinking outside Trump America, baby, yeah exactly. Yeah.

377
00:19:06,880 --> 00:19:10,359
Speaker 2: It's like you made payments on time for twelve years

378
00:19:10,440 --> 00:19:12,600
Speaker 2: and they're like, well, that's not how you get ahead

379
00:19:12,600 --> 00:19:15,440
Speaker 2: in this country. You've got to come up with some

380
00:19:15,560 --> 00:19:18,600
Speaker 2: weird it doesn't mean yeah.

381
00:19:19,240 --> 00:19:21,840
Speaker 1: To force them toursue you and then use your dad's

382
00:19:21,960 --> 00:19:24,280
Speaker 1: lawyer to just string them along for years till they

383
00:19:24,280 --> 00:19:24,639
Speaker 1: give up.

384
00:19:24,960 --> 00:19:26,640
Speaker 3: That's real. That's how you do it.

385
00:19:26,840 --> 00:19:29,720
Speaker 2: What's something you think is underrated? Oh?

386
00:19:29,760 --> 00:19:31,159
Speaker 3: Boy, Bob Dylan.

387
00:19:32,200 --> 00:19:33,399
Speaker 2: Bob Dylan's underrated?

388
00:19:33,560 --> 00:19:36,800
Speaker 3: Okay, yeah, yeah, it's just a I don't know. I

389
00:19:36,800 --> 00:19:38,680
Speaker 3: don't know what it is about about mister Dylan.

390
00:19:38,720 --> 00:19:39,080
Speaker 2: I don't know what.

391
00:19:39,520 --> 00:19:41,040
Speaker 3: It doesn't do it for me.

392
00:19:42,359 --> 00:19:46,760
Speaker 1: Overrated. You're giving Dylan over sorry, underrated? Oh crap, crap, crap,

393
00:19:48,240 --> 00:19:50,200
Speaker 1: just that the feeling of that was so nice.

394
00:19:50,600 --> 00:19:52,840
Speaker 3: I I don't know what it is about him.

395
00:19:52,880 --> 00:19:54,919
Speaker 2: I just mister underrated, you know.

396
00:19:55,160 --> 00:20:00,920
Speaker 6: Oh no, no, oh, sorry, over I got ship. I

397
00:20:00,960 --> 00:20:05,200
Speaker 6: don't know what it is about this asshole that I hate. Wait,

398
00:20:05,240 --> 00:20:07,920
Speaker 6: so okay, then let's do with Dylan. Dylan's overrated.

399
00:20:08,080 --> 00:20:09,199
Speaker 2: Dylan is overrated?

400
00:20:09,640 --> 00:20:13,320
Speaker 3: Yeah, yeah, yeah, I just I feel like so. I'm

401
00:20:13,480 --> 00:20:18,080
Speaker 3: obviously a musician too. I've longest people maybe possibly maybe

402
00:20:18,119 --> 00:20:20,720
Speaker 3: possibly know me. I started this band twenty years ago

403
00:20:20,760 --> 00:20:23,480
Speaker 3: called The Kamina as an American Muslim punk rock band.

404
00:20:23,840 --> 00:20:26,679
Speaker 3: Now I play in this Providence garage act called Rubbie Chby.

405
00:20:27,080 --> 00:20:30,359
Speaker 3: I tour with a New York based artist, Sonny Singh.

406
00:20:30,520 --> 00:20:33,080
Speaker 3: I just I basically just invite myself into other people's

407
00:20:33,119 --> 00:20:35,160
Speaker 3: bands now, and you know, if they're like, I got

408
00:20:35,160 --> 00:20:36,400
Speaker 3: to you know, so.

409
00:20:36,520 --> 00:20:36,879
Speaker 2: I don't know.

410
00:20:36,920 --> 00:20:39,760
Speaker 3: I just feel like Bob Dylan, You're supposed to like him,

411
00:20:40,040 --> 00:20:41,960
Speaker 3: and I feel like I should. There's one song that

412
00:20:41,960 --> 00:20:45,800
Speaker 3: I'm that I'm down with, Desolation Row, but mostly me

413
00:20:45,840 --> 00:20:48,800
Speaker 3: and my wife just imitate his voice as if he

414
00:20:48,920 --> 00:20:51,240
Speaker 3: was singing other songs like around the House.

415
00:20:56,200 --> 00:20:58,000
Speaker 2: By the Way, Desolately. I am a bit of a

416
00:20:59,080 --> 00:21:01,679
Speaker 2: I do like Dylan, and the Desolation Row is the

417
00:21:01,680 --> 00:21:06,200
Speaker 2: most like indulgent Dylan song where he just like goes

418
00:21:06,240 --> 00:21:08,760
Speaker 2: on and on and on like with the most random

419
00:21:08,840 --> 00:21:10,240
Speaker 2: literary illusions.

420
00:21:10,720 --> 00:21:13,119
Speaker 3: One of my many jobs as I was dropping in

421
00:21:13,160 --> 00:21:15,200
Speaker 3: and out of college, was. I was a security guard

422
00:21:15,800 --> 00:21:18,040
Speaker 3: as my dad was working at Kodak in the building

423
00:21:18,040 --> 00:21:20,520
Speaker 3: that he was working in. I got I mentioned, I

424
00:21:20,520 --> 00:21:22,920
Speaker 3: got sober. I got fired from that job for stealing alcohol.

425
00:21:23,200 --> 00:21:27,480
Speaker 2: Hell yeah at the building. I'm not the Koda. It

426
00:21:27,600 --> 00:21:28,760
Speaker 2: was like Lowell.

427
00:21:28,800 --> 00:21:29,600
Speaker 3: It was one of these like.

428
00:21:29,600 --> 00:21:38,119
Speaker 1: Corporate Yeah you know that Kodak alcohol. You know that

429
00:21:38,240 --> 00:21:40,720
Speaker 1: Kodak High Life. Yeah, yeah, pay of film.

430
00:21:40,760 --> 00:21:43,960
Speaker 2: I think those are just film developing chemicals. One of

431
00:21:44,000 --> 00:21:45,240
Speaker 2: the things you had to do there was a couple

432
00:21:45,280 --> 00:21:46,600
Speaker 2: of campuses. As a security guard.

433
00:21:46,640 --> 00:21:48,280
Speaker 3: You have to like do tours of the campus and

434
00:21:48,320 --> 00:21:50,480
Speaker 3: like you have these little things a little like media

435
00:21:50,520 --> 00:21:52,400
Speaker 3: and you have to just kind of like tap the

436
00:21:52,440 --> 00:21:55,800
Speaker 3: like wand to like let your superiors know that you've

437
00:21:55,800 --> 00:21:59,000
Speaker 3: actually done your job. Uh. And one of the places

438
00:21:59,040 --> 00:22:00,800
Speaker 3: I had to work was in this town called Endover,

439
00:22:01,400 --> 00:22:04,360
Speaker 3: and in that and the titles like two thousand and over,

440
00:22:04,760 --> 00:22:06,720
Speaker 3: two thousand and four or five, maybe there was like

441
00:22:06,760 --> 00:22:10,359
Speaker 3: a computer with like MP three's that you could just

442
00:22:10,760 --> 00:22:12,840
Speaker 3: just get high and like listen to this music and

443
00:22:12,840 --> 00:22:14,920
Speaker 3: then occasionally do my job. But one of those songs

444
00:22:15,000 --> 00:22:17,639
Speaker 3: was Desolation Row and I remember because it was like

445
00:22:17,680 --> 00:22:20,080
Speaker 3: eight or nine minutes long, and for some reason, I

446
00:22:20,160 --> 00:22:22,359
Speaker 3: just my life was also kind of desolate, to be

447
00:22:22,359 --> 00:22:25,040
Speaker 3: honest at the time, so I was also trying to

448
00:22:25,040 --> 00:22:28,600
Speaker 3: maybe be like, yeah, things are tough, you know, right,

449
00:22:29,000 --> 00:22:32,679
Speaker 3: comfortable middle class suburban life. I'm still living with my

450
00:22:32,720 --> 00:22:35,879
Speaker 3: parents and yeah, yeah, but I understand you, Bob Dylan,

451
00:22:36,080 --> 00:22:37,520
Speaker 3: I get it. I get it.

452
00:22:37,840 --> 00:22:40,600
Speaker 2: Yeah, it's a it's a long one, and like it

453
00:22:40,760 --> 00:22:47,200
Speaker 2: just keeps being like new, like famous iconic fictional characters

454
00:22:47,280 --> 00:22:50,679
Speaker 2: keep showing up, and he's like, and incomes Romeo and

455
00:22:50,720 --> 00:22:55,320
Speaker 2: then here comes Cinderella. Wait, that's the fucking song. It's

456
00:22:55,400 --> 00:23:00,280
Speaker 2: like it's long, and the Hunchback and the Tredame it

457
00:23:00,440 --> 00:23:03,479
Speaker 2: shows up in the pipe.

458
00:23:04,600 --> 00:23:04,840
Speaker 3: Like that.

459
00:23:06,320 --> 00:23:10,160
Speaker 2: But I'll give him that one. Nice, you get one, Dylan, Yeah,

460
00:23:10,200 --> 00:23:11,280
Speaker 2: you get one. Yeah.

461
00:23:11,400 --> 00:23:14,439
Speaker 3: I'm assuming the esteemed, you know, music critic that I

462
00:23:14,480 --> 00:23:17,639
Speaker 3: am very well respected across you know, the world.

463
00:23:17,880 --> 00:23:20,840
Speaker 2: I also invite myself into a lot of people's bands,

464
00:23:20,840 --> 00:23:25,120
Speaker 2: and nobody has welcomed me in because I don't play

465
00:23:25,119 --> 00:23:27,639
Speaker 2: an instrument. So I would just say that it's it

466
00:23:27,720 --> 00:23:32,320
Speaker 2: sounds like, uh, you're a pretty good musician and well Jack.

467
00:23:32,160 --> 00:23:34,760
Speaker 3: Based on your your foot care alone, like I think

468
00:23:34,800 --> 00:23:37,360
Speaker 3: i'd take you on tour. Yeah, I could do the pedals.

469
00:23:39,080 --> 00:23:41,920
Speaker 2: I feel like people who are good musicians generally are

470
00:23:42,040 --> 00:23:45,520
Speaker 2: like this guy, Like I remember hearing the Blues Travelers

471
00:23:46,119 --> 00:23:50,600
Speaker 2: guy who's like, I guess one of the great harmonica players. Yeah,

472
00:23:50,680 --> 00:23:55,280
Speaker 2: John Popper was like yeah, but like the worst fucking

473
00:23:55,720 --> 00:23:58,760
Speaker 2: the worst harmonica player in the world. I feel like

474
00:23:58,800 --> 00:24:01,520
Speaker 2: he's like kind of an affront to like musicians in

475
00:24:01,560 --> 00:24:04,440
Speaker 2: many ways. Yeah, there's like a big N plus one

476
00:24:04,920 --> 00:24:09,679
Speaker 2: essay about how Bob Dylan sucks shit like that, and

477
00:24:09,680 --> 00:24:12,440
Speaker 2: they like compared him to Radiohead, and they're like Radiohead

478
00:24:12,560 --> 00:24:18,040
Speaker 2: uses sounds to make meaning like a musician would, whereas

479
00:24:18,080 --> 00:24:22,360
Speaker 2: Bob Dylan is just like writing words that sounds smart.

480
00:24:23,240 --> 00:24:26,760
Speaker 2: It was a pretty definitive takedown, but I still I

481
00:24:26,800 --> 00:24:29,320
Speaker 2: still fucks with him, but he I feel like he

482
00:24:29,359 --> 00:24:32,200
Speaker 2: got away with a whole hell of a lot. You

483
00:24:32,240 --> 00:24:34,760
Speaker 2: can like go back and read reviews of his albums

484
00:24:34,760 --> 00:24:39,320
Speaker 2: from the seventies and man, they're just like doing there

485
00:24:39,640 --> 00:24:42,879
Speaker 2: sweating to like make his shit sound like it's the

486
00:24:42,960 --> 00:24:48,080
Speaker 2: neck that like, and this song clearly about Vietnam and

487
00:24:48,200 --> 00:24:52,800
Speaker 2: it's making interesting points, and it's like he's like just

488
00:24:53,040 --> 00:24:55,760
Speaker 2: mad at an ex girlfriend and calling her an idiot

489
00:24:55,880 --> 00:24:56,840
Speaker 2: over and over again.

490
00:24:57,040 --> 00:24:58,240
Speaker 3: What are you talking about?

491
00:25:00,000 --> 00:25:01,760
Speaker 2: But what's something you think is underrated?

492
00:25:02,520 --> 00:25:05,200
Speaker 3: Let me actually answer it correctly this time. I'm gonna

493
00:25:05,240 --> 00:25:09,080
Speaker 3: go with the band Corn. Okay, I think the band

494
00:25:09,160 --> 00:25:11,560
Speaker 3: Corn is underrated. I got into them a little bit

495
00:25:11,600 --> 00:25:13,520
Speaker 3: late in life. And what I say late in life,

496
00:25:13,520 --> 00:25:16,240
Speaker 3: I literally mean a couple of years ago, like wow,

497
00:25:17,000 --> 00:25:18,760
Speaker 3: in high school, like it was like, yeah, you can't

498
00:25:19,080 --> 00:25:21,480
Speaker 3: listen to that shit. But I think their twenty twenty

499
00:25:21,480 --> 00:25:24,800
Speaker 3: two record is a masterpiece. I will say that ply wow.

500
00:25:24,920 --> 00:25:27,920
Speaker 3: Wait their album from three, I haven't day Wow.

501
00:25:28,640 --> 00:25:31,280
Speaker 2: I'm not saying everything they've done is great. I'm not

502
00:25:31,320 --> 00:25:34,520
Speaker 2: saying they're great people. Let me emphasize, I'm not saying

503
00:25:34,560 --> 00:25:37,600
Speaker 2: they're great people. You don't like Christian fundamentalism.

504
00:25:37,800 --> 00:25:40,960
Speaker 3: Their music is underrated, right, I've never had a pleasure

505
00:25:41,280 --> 00:25:42,680
Speaker 3: or misfortunate just.

506
00:25:42,680 --> 00:25:44,439
Speaker 1: A guitarist that way Christian?

507
00:25:44,520 --> 00:25:47,360
Speaker 2: Right, it was it. Jonathan also Davis also like, oh

508
00:25:47,440 --> 00:25:50,640
Speaker 2: I don't I'm not sure I should be watching Head

509
00:25:50,680 --> 00:25:53,920
Speaker 2: with some headwar fans might know is a Head or

510
00:25:54,000 --> 00:25:54,639
Speaker 2: Head or Monkey?

511
00:25:54,680 --> 00:25:55,359
Speaker 3: They're the two guitar.

512
00:25:55,480 --> 00:25:56,879
Speaker 2: Yeah, there's Head and there's Monkey.

513
00:25:57,240 --> 00:26:00,119
Speaker 3: I was watching this super guitar NERD show called a

514
00:26:00,119 --> 00:26:04,480
Speaker 3: Mere Guitar rig Rundown with they have all them and

515
00:26:04,520 --> 00:26:07,520
Speaker 3: then they have field Y the bassist, and I think

516
00:26:07,560 --> 00:26:09,840
Speaker 3: that and the Deft Tones are probably my two favorite

517
00:26:10,080 --> 00:26:12,919
Speaker 3: rig Rundown episodes because field is like yeah, so like

518
00:26:13,200 --> 00:26:15,280
Speaker 3: or no, maybe it was head. He was like so,

519
00:26:15,440 --> 00:26:20,200
Speaker 3: like I'm not good but like people, but it's like cool,

520
00:26:20,440 --> 00:26:23,600
Speaker 3: it's fine. And then with Deftones Steph Carpenter, Like the

521
00:26:24,640 --> 00:26:26,920
Speaker 3: host of the show is this guy John Bolinger. He's

522
00:26:26,960 --> 00:26:29,280
Speaker 3: adorable and he's like, hey, man, like, just tell me

523
00:26:29,280 --> 00:26:32,639
Speaker 3: about all your stuff. And he's like, yo, listen, and

524
00:26:32,680 --> 00:26:34,959
Speaker 3: he's like, you know, why do you have all these

525
00:26:34,960 --> 00:26:36,679
Speaker 3: what is your guitar? Like, he's like, listen, I just

526
00:26:36,720 --> 00:26:39,280
Speaker 3: got Louis Vuitton on my guitar because I think it

527
00:26:39,320 --> 00:26:41,280
Speaker 3: looks like like like that's basically why.

528
00:26:42,960 --> 00:26:44,639
Speaker 1: I wish I could give you an answer that was

529
00:26:44,680 --> 00:26:46,040
Speaker 1: deeper than a sixth grader.

530
00:26:46,119 --> 00:26:49,120
Speaker 2: We'll tell you. Man is so disappointed because he's used

531
00:26:49,119 --> 00:26:50,960
Speaker 2: to people being like yeah, like well.

532
00:26:52,320 --> 00:26:56,040
Speaker 1: Like French colonial concept of luxury around in a French

533
00:26:56,040 --> 00:26:58,720
Speaker 1: colonial context and you're like, oh wow.

534
00:26:58,560 --> 00:27:05,920
Speaker 2: Interesting corn. Yeah, they're definitely like I dismissed them out

535
00:27:05,920 --> 00:27:08,639
Speaker 2: of hand for for no good reason. I'm sure in

536
00:27:08,680 --> 00:27:12,360
Speaker 2: my when they were first out and then but then

537
00:27:12,400 --> 00:27:15,760
Speaker 2: like I've heard I think I've heard like isolated vocals

538
00:27:15,920 --> 00:27:19,199
Speaker 2: of like their singer doing like his like weird like

539
00:27:19,400 --> 00:27:24,000
Speaker 2: sanding thing. Damn, this guy is like doing like something

540
00:27:24,080 --> 00:27:27,400
Speaker 2: is coming through him from another world. You know, It's

541
00:27:27,440 --> 00:27:31,479
Speaker 2: like there is there is a gift there that is

542
00:27:31,520 --> 00:27:34,119
Speaker 2: like kind of impressive and kind of remarkable.

543
00:27:34,440 --> 00:27:37,199
Speaker 1: Yeah, I just I would. I think I was only

544
00:27:37,280 --> 00:27:39,240
Speaker 1: like in a vacuum. It was just the follow the

545
00:27:39,320 --> 00:27:41,480
Speaker 1: Leader era when you know, like at the height of

546
00:27:41,520 --> 00:27:43,239
Speaker 1: their powers. That at the time, I was like, bro,

547
00:27:43,359 --> 00:27:45,600
Speaker 1: Corn is for like the white kids whose parents got

548
00:27:45,600 --> 00:27:49,560
Speaker 1: divorced in first grade, and like it wasn't quite connected

549
00:27:49,600 --> 00:27:51,639
Speaker 1: with me. And then my parents got divorced, and then

550
00:27:51,680 --> 00:27:54,720
Speaker 1: I was like, you were like you know, and I.

551
00:27:54,680 --> 00:28:01,680
Speaker 2: Was like, yeah, aren't really notes, man, They're just so yeah,

552
00:28:01,920 --> 00:28:03,200
Speaker 2: oh wow, God hates me.

553
00:28:03,920 --> 00:28:09,280
Speaker 1: Yeah, let's fucking go. Their unplugged album is pretty wild.

554
00:28:09,440 --> 00:28:13,760
Speaker 1: It has a they didn't unplugged. They didn't Oh my god,

555
00:28:13,840 --> 00:28:18,760
Speaker 1: it's ridiculous. From Amy whatever name is, from Evan Essence, it's.

556
00:28:18,560 --> 00:28:23,600
Speaker 3: Pretty Oh my goodness, I didn't even mention that thank you, Miles.

557
00:28:24,119 --> 00:28:27,639
Speaker 2: I was too busy listening to On Eagle's Wings and

558
00:28:27,920 --> 00:28:32,240
Speaker 2: following the leader thank you. Yeah, as as they instructed

559
00:28:32,240 --> 00:28:34,760
Speaker 2: in the title of their album, thank You, thank You,

560
00:28:35,440 --> 00:28:37,800
Speaker 2: light years ahead of their time, that's right, let's take

561
00:28:37,800 --> 00:28:50,680
Speaker 2: a quick break. We'll be right back. And we're back.

562
00:28:50,720 --> 00:28:54,760
Speaker 2: We're back, and man, so what do you think of

563
00:28:54,760 --> 00:28:58,560
Speaker 2: this AI stuff? I do, Like, I had conversations with

564
00:28:58,680 --> 00:29:01,560
Speaker 2: people that's past the past couple of weeks, just like

565
00:29:01,840 --> 00:29:06,600
Speaker 2: people who like work for like big corporations, and I'm

566
00:29:06,720 --> 00:29:08,560
Speaker 2: just like, so, what do you think of this like

567
00:29:08,680 --> 00:29:13,920
Speaker 2: AI stuff? And they're all, I don't know, a little mystified,

568
00:29:13,960 --> 00:29:16,680
Speaker 2: but they're like, yeah, it's definitely like a tool that

569
00:29:16,680 --> 00:29:18,480
Speaker 2: we're all going to have to learn how to use,

570
00:29:18,960 --> 00:29:20,920
Speaker 2: and it might replace all of our jobs in the

571
00:29:20,960 --> 00:29:22,280
Speaker 2: next like six months.

572
00:29:22,400 --> 00:29:25,440
Speaker 3: I feel like here in Boston, right outside of before

573
00:29:25,480 --> 00:29:28,400
Speaker 3: you get onto, uh the entrance ramp to Logan Airport,

574
00:29:28,440 --> 00:29:32,840
Speaker 3: there's this giant billboard which says stop hiring humans. It's

575
00:29:32,840 --> 00:29:33,480
Speaker 3: this company.

576
00:29:33,560 --> 00:29:39,680
Speaker 1: I forget that, I forget the company I've seen before weeks. Dude, Yeah, yeah,

577
00:29:39,920 --> 00:29:43,360
Speaker 1: it's I think we should be setting fire to those signs.

578
00:29:43,520 --> 00:29:47,920
Speaker 2: Basically that sounds like an attack on me. The work sucks,

579
00:29:48,120 --> 00:29:50,960
Speaker 2: So that's the other thing to take where it sucks

580
00:29:51,000 --> 00:29:51,640
Speaker 2: and people hate it.

581
00:29:52,440 --> 00:29:55,400
Speaker 1: So how do how do how do I benefit from

582
00:29:55,400 --> 00:29:58,360
Speaker 1: all the productivity from the machines? There is that in

583
00:29:58,400 --> 00:30:01,200
Speaker 1: your plan or no going up to the C suite?

584
00:30:01,440 --> 00:30:02,880
Speaker 1: But yeah, I have the same thing too, where like

585
00:30:02,920 --> 00:30:05,160
Speaker 1: people ask them like, hey man, you talk about then,

586
00:30:05,240 --> 00:30:07,520
Speaker 1: like what do you think AI? And they do it

587
00:30:07,560 --> 00:30:10,520
Speaker 1: in a way that's like they don't know where you're at,

588
00:30:10,560 --> 00:30:12,840
Speaker 1: and they don't even know where they're at on AI, Yeah,

589
00:30:12,960 --> 00:30:16,400
Speaker 1: and just basically going like I don't know. It's like exactly, dude,

590
00:30:16,680 --> 00:30:18,440
Speaker 1: they're making me use it at work and I don't

591
00:30:18,480 --> 00:30:21,080
Speaker 1: fucking like it does ship, But I don't know what anyway.

592
00:30:21,240 --> 00:30:24,200
Speaker 2: So the one thing I've heard that is that seems

593
00:30:24,200 --> 00:30:26,960
Speaker 2: good to me, like it seems like a good tool

594
00:30:27,320 --> 00:30:29,440
Speaker 2: is somebody who's like we did like a series of

595
00:30:29,600 --> 00:30:35,400
Speaker 2: interviews with like clients, and they I transcribed it and

596
00:30:35,440 --> 00:30:38,440
Speaker 2: then like synthesized it and like put it all in

597
00:30:38,440 --> 00:30:41,160
Speaker 2: a database that we could like I don't know, like

598
00:30:41,320 --> 00:30:44,120
Speaker 2: learn from and like access much easier than before. Yeah,

599
00:30:44,160 --> 00:30:46,880
Speaker 2: sounds like I mean a tool, a tool that you Yeah, exactly,

600
00:30:46,880 --> 00:30:50,040
Speaker 2: it sounds like a tool. It's like, yeah that that okay,

601
00:30:50,080 --> 00:30:50,560
Speaker 2: that's cool.

602
00:30:50,600 --> 00:30:54,400
Speaker 3: That's like the direction that you know, one positive about

603
00:30:54,440 --> 00:30:56,479
Speaker 3: it is like war, right, you know.

604
00:30:56,960 --> 00:31:00,320
Speaker 2: Well, and it's also gonna make our bombs really smart. Yeah,

605
00:31:00,440 --> 00:31:02,640
Speaker 2: I know, we all thought they were smart before, but

606
00:31:02,760 --> 00:31:07,440
Speaker 2: now it's gonna be go directly up the enemy's asshole?

607
00:31:08,400 --> 00:31:11,840
Speaker 2: Is how Yeah, precise, it's going to be. No, it's

608
00:31:12,080 --> 00:31:14,880
Speaker 2: it just yeah, it's a tool. That's like I don't know,

609
00:31:14,920 --> 00:31:18,280
Speaker 2: if somebody told me that a computer program could do that,

610
00:31:18,320 --> 00:31:20,040
Speaker 2: I'd be like, oh, that's a cool tool. That is

611
00:31:20,080 --> 00:31:22,840
Speaker 2: about what I would expect technology to be doing. Yeah.

612
00:31:22,840 --> 00:31:26,160
Speaker 2: But like all of the over promising of AI is

613
00:31:26,200 --> 00:31:28,479
Speaker 2: like invading the C suite, And now they're like, so

614
00:31:28,640 --> 00:31:31,480
Speaker 2: we don't need people anymore, right, yeah exactly.

615
00:31:31,440 --> 00:31:33,760
Speaker 1: And now we're at a point where finally, the reason

616
00:31:33,760 --> 00:31:36,320
Speaker 1: we're talking about this is because now we're getting more

617
00:31:36,360 --> 00:31:39,720
Speaker 1: and more groans from the companies that said, yeah, fuck people, man,

618
00:31:39,760 --> 00:31:41,240
Speaker 1: we're all this automation.

619
00:31:40,840 --> 00:31:42,120
Speaker 2: Shit sounds fucking dope.

620
00:31:42,360 --> 00:31:46,000
Speaker 1: That company Klarna, the buy now, pay later service, they

621
00:31:46,000 --> 00:31:49,240
Speaker 1: were huge on replacing human beings with AI so much

622
00:31:49,280 --> 00:31:53,680
Speaker 1: so they completely stopped hiring humans too. You seeing that billboard, Yeah,

623
00:31:54,040 --> 00:31:56,920
Speaker 1: the one No, I don't know, No, I mean this

624
00:31:57,120 --> 00:31:59,720
Speaker 1: is the buy now, pay later service, So maybe maybe

625
00:31:59,760 --> 00:32:01,080
Speaker 1: this CEO did see it.

626
00:32:01,080 --> 00:32:03,840
Speaker 2: But then this is from Vice. Quote.

627
00:32:03,840 --> 00:32:06,280
Speaker 1: By twenty twenty four, it had partnered with Open AI,

628
00:32:06,480 --> 00:32:09,640
Speaker 1: slashed customer service and marketing departments, and publicly declared that

629
00:32:09,720 --> 00:32:12,280
Speaker 1: quote AI can already do all of the jobs that

630
00:32:12,320 --> 00:32:15,479
Speaker 1: we as humans do, according to their CEO, And then

631
00:32:15,520 --> 00:32:18,360
Speaker 1: they're like, all right after, like, we saved ten million

632
00:32:18,360 --> 00:32:21,880
Speaker 1: dollars because AI can now handle things like making images,

633
00:32:22,080 --> 00:32:29,040
Speaker 1: translation data analysis, and customer service. But yeah, we like

634
00:32:29,040 --> 00:32:31,760
Speaker 1: customer service, like that thing where being a human and

635
00:32:31,840 --> 00:32:35,240
Speaker 1: having like empathy like helps that experience.

636
00:32:35,320 --> 00:32:37,880
Speaker 2: Right, that's the same customer service we're talking about here,

637
00:32:38,400 --> 00:32:42,520
Speaker 2: So real quick on those first few things, making images, translation,

638
00:32:42,680 --> 00:32:47,160
Speaker 2: data analysis, who's telling the AI what images to make

639
00:32:47,200 --> 00:32:50,880
Speaker 2: and like what data to analyze and then trying to

640
00:32:50,880 --> 00:32:52,080
Speaker 2: get me to a gotcha thing?

641
00:32:52,280 --> 00:32:54,840
Speaker 3: Definitely all benevolent actors. Absolutely.

642
00:32:55,760 --> 00:32:58,040
Speaker 1: I know you want me to say human beings, Jack,

643
00:32:58,080 --> 00:33:02,160
Speaker 1: but actually they installed AI overseer as they over.

644
00:33:02,360 --> 00:33:06,840
Speaker 2: That grim Off Tarkin overseer AI.

645
00:33:07,360 --> 00:33:10,000
Speaker 1: It's a really problematic name, but hey, they keep the

646
00:33:10,000 --> 00:33:12,880
Speaker 1: other ais in check. Well, now the CEO is realizing

647
00:33:13,160 --> 00:33:18,040
Speaker 1: people fucking wow hate dealing with automated customer service and

648
00:33:18,080 --> 00:33:19,760
Speaker 1: that's like one of like I feel like we need

649
00:33:19,760 --> 00:33:22,400
Speaker 1: to add like a new truth. It's like death taxes

650
00:33:22,440 --> 00:33:26,000
Speaker 1: and we hate fucking automated customer service prompts, like every

651
00:33:26,000 --> 00:33:33,880
Speaker 1: time you talk to a human human representative, that's like ALLSOM,

652
00:33:34,720 --> 00:33:38,080
Speaker 1: that's every call with an automated customer service agent.

653
00:33:40,320 --> 00:33:45,280
Speaker 2: So the CEO goes to my mind again a grocer

654
00:33:45,360 --> 00:33:48,680
Speaker 2: at the grocery store. Dude, I'm like, I'll I will

655
00:33:48,720 --> 00:33:51,960
Speaker 2: have every like I'll be psyched to like scan the

656
00:33:52,000 --> 00:33:54,720
Speaker 2: ship myself, but inevitably I'm gonna suck it up and

657
00:33:54,720 --> 00:33:56,520
Speaker 2: then I'll be I'll be the person with the blinking

658
00:33:56,800 --> 00:33:58,360
Speaker 2: you know. Oh yeah, man.

659
00:33:58,200 --> 00:34:00,760
Speaker 3: That's so frustrating when you are trying to buy like

660
00:34:01,600 --> 00:34:02,640
Speaker 3: it and then you fuck it up.

661
00:34:02,720 --> 00:34:05,120
Speaker 1: I did that with a box of diapers the other day,

662
00:34:05,160 --> 00:34:08,279
Speaker 1: and well you scan the wrong a barcode and I go,

663
00:34:08,400 --> 00:34:12,000
Speaker 1: what the fuck do you barcodes? Yeah, I'm like, I

664
00:34:12,120 --> 00:34:14,919
Speaker 1: bricked the system by scanning it like it's this one.

665
00:34:15,040 --> 00:34:17,640
Speaker 1: I'm like, how the fuck should I know that this

666
00:34:17,719 --> 00:34:20,040
Speaker 1: is the biggest barcode on the fucking box and you're

667
00:34:20,040 --> 00:34:22,000
Speaker 1: telling me this one is the one that shuts down

668
00:34:22,000 --> 00:34:23,640
Speaker 1: your fucking checkout system.

669
00:34:23,800 --> 00:34:27,160
Speaker 2: Anyway, You're going to hear about this in your employee

670
00:34:27,200 --> 00:34:31,920
Speaker 2: review at Rapp's this coming quarter end of quarter. I know,

671
00:34:32,239 --> 00:34:33,040
Speaker 2: I know, I know.

672
00:34:33,960 --> 00:34:36,799
Speaker 1: So now the CEO has had to basically admit that

673
00:34:36,840 --> 00:34:38,919
Speaker 1: this was a huge l and they have to hire

674
00:34:39,000 --> 00:34:41,520
Speaker 1: human beings again. Quote this is from their CEO.

675
00:34:42,120 --> 00:34:42,239
Speaker 3: Uh.

676
00:34:42,520 --> 00:34:45,000
Speaker 2: From a brand perspective, a company perspective.

677
00:34:45,080 --> 00:34:47,279
Speaker 1: I just think it's so critical that you are clear

678
00:34:47,320 --> 00:34:49,960
Speaker 1: to your customer that there will always be a human

679
00:34:50,080 --> 00:34:53,480
Speaker 1: if you want. Uh. Cost unfortunately, seems to have been

680
00:34:53,920 --> 00:34:57,960
Speaker 1: a two predominant evaluation factor, and what you end up

681
00:34:58,080 --> 00:35:00,719
Speaker 1: having is lower quality.

682
00:35:01,080 --> 00:35:03,200
Speaker 3: The option thing is interesting to me. So this is

683
00:35:03,239 --> 00:35:05,360
Speaker 3: something I was specifically thinking about this week because so

684
00:35:05,520 --> 00:35:07,200
Speaker 3: one of the things that I do, which I don't

685
00:35:07,200 --> 00:35:08,719
Speaker 3: know how long is going to be a career, is

686
00:35:08,840 --> 00:35:13,160
Speaker 3: narrate audiobooks, And just last week Audible, for example, announced

687
00:35:13,160 --> 00:35:15,799
Speaker 3: that they're going to have an AI option for publishers

688
00:35:16,000 --> 00:35:19,120
Speaker 3: as well as you know, you can hire me like

689
00:35:19,200 --> 00:35:22,720
Speaker 3: another charactor. Yeah, and obviously like, dude, look, I understand

690
00:35:22,760 --> 00:35:26,319
Speaker 3: if like some an indie author you know, doesn't have

691
00:35:26,360 --> 00:35:28,920
Speaker 3: the money to like fork over, to like hire me

692
00:35:29,160 --> 00:35:32,000
Speaker 3: or hire a whole studio to do shit. And I

693
00:35:32,080 --> 00:35:35,240
Speaker 3: definitely lost one of my largest voiceover clients, who shall

694
00:35:35,239 --> 00:35:38,640
Speaker 3: remain nameless this year. I'm pretty sure because of AI.

695
00:35:38,920 --> 00:35:40,640
Speaker 3: I'd been doing stuff for them for a couple of

696
00:35:40,719 --> 00:35:43,560
Speaker 3: years and then I no one even reached out to me,

697
00:35:43,600 --> 00:35:45,319
Speaker 3: and then they stopped responding to my emails, and then

698
00:35:45,360 --> 00:35:47,440
Speaker 3: I know that the stuff is still being made. So

699
00:35:48,480 --> 00:35:51,040
Speaker 3: and even with my Mortal Kombat stuff, like even though

700
00:35:51,600 --> 00:35:53,879
Speaker 3: that all happened, I would say three four years ago,

701
00:35:54,000 --> 00:35:56,439
Speaker 3: a couple of years before. This discussion was maybe more

702
00:35:56,480 --> 00:35:59,640
Speaker 3: in the in the public consciousness, you know, before the

703
00:35:59,680 --> 00:36:02,920
Speaker 3: strike and stuff. So yeah, man, I don't know. I

704
00:36:02,920 --> 00:36:04,200
Speaker 3: don't know where all the shit's going.

705
00:36:04,520 --> 00:36:05,920
Speaker 2: Yeah, it's it's hard to know.

706
00:36:06,000 --> 00:36:07,560
Speaker 1: And like with this, right, they're always like, no, I

707
00:36:07,560 --> 00:36:10,120
Speaker 1: don't replace things like customer service. Then they try it

708
00:36:10,160 --> 00:36:12,440
Speaker 1: and they're like, a shit, that was bad our customers

709
00:36:12,440 --> 00:36:15,160
Speaker 1: fucking hate us. It's actually affecting our business negatively.

710
00:36:15,600 --> 00:36:17,759
Speaker 2: And if I want to hear the like positive use

711
00:36:18,040 --> 00:36:22,040
Speaker 2: like zeitgang. Anybody listening, like just hit me with like

712
00:36:22,120 --> 00:36:25,560
Speaker 2: the the examples where like somebody's given something to AI

713
00:36:26,200 --> 00:36:30,000
Speaker 2: and it's like created something that was like good other

714
00:36:30,080 --> 00:36:32,560
Speaker 2: than I mean, we've talked about like some scientific breakthroughs

715
00:36:32,640 --> 00:36:37,799
Speaker 2: like the you know, decoding the shape of proteins of proteins,

716
00:36:37,840 --> 00:36:40,399
Speaker 2: like that stuff is great, But I'm talking more about

717
00:36:40,440 --> 00:36:43,759
Speaker 2: the stuff that they we keep hearing them try to

718
00:36:43,840 --> 00:36:47,319
Speaker 2: do where it like replaces a whole workforce and that

719
00:36:47,400 --> 00:36:50,000
Speaker 2: there's not like a noticeable drop in quality. It just

720
00:36:50,160 --> 00:36:51,800
Speaker 2: feels like it never happens.

721
00:36:51,920 --> 00:36:53,720
Speaker 1: I know people who have to use it at work

722
00:36:53,880 --> 00:36:56,160
Speaker 1: and they say, like the latest chat GPT is like

723
00:36:56,200 --> 00:36:58,960
Speaker 1: a fucking it's like worse and they hate it, and yeah,

724
00:36:59,000 --> 00:37:01,359
Speaker 1: yeah they had to they had to be like take

725
00:37:01,400 --> 00:37:04,920
Speaker 1: it back and be like, oh, oh yeah, I think

726
00:37:04,960 --> 00:37:07,000
Speaker 1: it all depends on what you do, because like I think,

727
00:37:07,080 --> 00:37:08,600
Speaker 1: I always bring it up, like people who I know

728
00:37:08,680 --> 00:37:11,239
Speaker 1: in grant writing, they're like, I fucking thank God for

729
00:37:11,280 --> 00:37:14,200
Speaker 1: this because like I hate grant writing and and just

730
00:37:14,239 --> 00:37:16,359
Speaker 1: get into a bulk of already the work I have

731
00:37:16,400 --> 00:37:18,200
Speaker 1: to do as a great like in char of what

732
00:37:18,239 --> 00:37:21,319
Speaker 1: I do at a nonprofit, but like it has now

733
00:37:21,320 --> 00:37:22,000
Speaker 1: freed me up.

734
00:37:21,880 --> 00:37:23,640
Speaker 2: To do other things anyway. As a tool.

735
00:37:23,960 --> 00:37:26,759
Speaker 1: Yeah, yeah, that's where I'm saying. It's a tool, and

736
00:37:26,800 --> 00:37:28,759
Speaker 1: I think that's where you see the use cases. You're like,

737
00:37:28,840 --> 00:37:31,879
Speaker 1: as a tool, not as a replacement for a human being.

738
00:37:32,200 --> 00:37:35,840
Speaker 1: So now Klarna is fucking rehiring human beings, but not

739
00:37:35,920 --> 00:37:38,920
Speaker 1: as employees like they once had. They are now hiring

740
00:37:38,920 --> 00:37:41,920
Speaker 1: people as remote gig workers, so they're not like so

741
00:37:42,080 --> 00:37:44,920
Speaker 1: that way they can handle customer service calls from wherever

742
00:37:44,920 --> 00:37:47,160
Speaker 1: they're at. And also they don't get any benefits or

743
00:37:47,160 --> 00:37:49,719
Speaker 1: the job stability of having like full time employment because

744
00:37:49,719 --> 00:37:51,400
Speaker 1: they're like, you know, you guys are gig workers, and

745
00:37:51,440 --> 00:37:53,960
Speaker 1: now we found a thing that kind of you know,

746
00:37:54,040 --> 00:37:56,920
Speaker 1: threads the needle. So this seems to be like a

747
00:37:56,960 --> 00:38:00,040
Speaker 1: trend across business. Now people get hype for AI and

748
00:38:00,080 --> 00:38:02,839
Speaker 1: then immediately regret it because it's not actually intelligent at all,

749
00:38:02,880 --> 00:38:05,120
Speaker 1: and they're like, this thing's a fucking teddy ruckspin that

750
00:38:05,160 --> 00:38:08,400
Speaker 1: does memes essentially, and I can't do anything for my business.

751
00:38:09,040 --> 00:38:11,440
Speaker 1: This is another thing from a Carnegie Mellon study found

752
00:38:12,239 --> 00:38:14,720
Speaker 1: over half of UK business leaders who rush to replace

753
00:38:14,800 --> 00:38:16,880
Speaker 1: human jobs with AI say they now regret it.

754
00:38:17,320 --> 00:38:17,719
Speaker 2: They said.

755
00:38:17,840 --> 00:38:20,000
Speaker 1: They found that the study found that even the best

756
00:38:20,040 --> 00:38:23,880
Speaker 1: AI workers could only complete about a quarter of basic tasks.

757
00:38:24,400 --> 00:38:28,040
Speaker 1: So again I don't like it. It's really in these

758
00:38:28,120 --> 00:38:32,040
Speaker 1: narrow fields where unfortunately, like voiceover and things like that,

759
00:38:32,400 --> 00:38:34,320
Speaker 1: they found a way to just like plug shit in

760
00:38:34,360 --> 00:38:37,520
Speaker 1: because there's now you there are so many like zombie

761
00:38:37,560 --> 00:38:41,640
Speaker 1: YouTube channels that they're just getting. Yeah, they just put

762
00:38:41,680 --> 00:38:44,839
Speaker 1: together bodycam footage from police and they'd be like on

763
00:38:45,160 --> 00:38:47,560
Speaker 1: and it's just like on October fourteenth, twenty twenty four,

764
00:38:47,680 --> 00:38:51,800
Speaker 1: the park Linds and just shows you bodycam footage a

765
00:38:51,880 --> 00:38:55,479
Speaker 1: little bit of commentary. It's the most obvious AI voice shit,

766
00:38:55,640 --> 00:38:58,440
Speaker 1: And I don't know like it. People are kind of

767
00:38:58,680 --> 00:39:00,000
Speaker 1: like I don't know, I yes, this is fine.

768
00:39:00,000 --> 00:39:02,360
Speaker 3: The ones I keep seeing are like the like cooking,

769
00:39:02,719 --> 00:39:05,720
Speaker 3: this is whatever, it's my algorithm or something, but like cooking,

770
00:39:05,800 --> 00:39:10,240
Speaker 3: like this is the greatest recipe ever. Just take three eggs,

771
00:39:10,600 --> 00:39:14,640
Speaker 3: a piece of broccoli and some rappercorn, you know, like

772
00:39:14,680 --> 00:39:15,480
Speaker 3: that kind of show.

773
00:39:15,239 --> 00:39:19,960
Speaker 2: That you have three egg broccoli peppercorn. Oh thanks, a

774
00:39:19,960 --> 00:39:21,280
Speaker 2: wonderful dish.

775
00:39:21,320 --> 00:39:22,919
Speaker 1: But yeah, I mean I think that's the thing that's

776
00:39:22,920 --> 00:39:26,040
Speaker 1: freaky now about AI with this sort of Klarna example,

777
00:39:26,160 --> 00:39:28,160
Speaker 1: and other companies that are doing the thing where like

778
00:39:28,480 --> 00:39:31,760
Speaker 1: they fire their actual employees, take a swing on AI,

779
00:39:31,880 --> 00:39:33,000
Speaker 1: and then they're like, fuck.

780
00:39:32,840 --> 00:39:34,920
Speaker 2: It, We'll bring people back as gig workers.

781
00:39:35,000 --> 00:39:38,759
Speaker 1: And now we're actually saving money on benefits because we're

782
00:39:38,760 --> 00:39:40,840
Speaker 1: not having to provide any for these people.

783
00:39:41,200 --> 00:39:42,360
Speaker 2: And I'm like, yeah, maybe.

784
00:39:42,120 --> 00:39:44,160
Speaker 1: That's maybe that's at the moment, that seems like the

785
00:39:44,160 --> 00:39:46,120
Speaker 1: biggest threat too in a lot of in a more

786
00:39:46,200 --> 00:39:48,160
Speaker 1: pronounced way, is full time employment.

787
00:39:48,520 --> 00:39:53,400
Speaker 2: Anything that happens at this stage, at this late stage capitalism.

788
00:39:53,480 --> 00:39:57,600
Speaker 2: Under this late stage capitalism, like structure, anything that happens,

789
00:39:57,640 --> 00:40:01,239
Speaker 2: whether it be pandemic, whether it be war, whether it

790
00:40:01,239 --> 00:40:05,200
Speaker 2: be you know, change who whatever the changes and presidency,

791
00:40:05,600 --> 00:40:09,799
Speaker 2: it's always an excuse to fuck people, like fuck you know,

792
00:40:09,880 --> 00:40:14,000
Speaker 2: fuck over employees and funnel money upward. So like you know,

793
00:40:14,160 --> 00:40:18,680
Speaker 2: line go up and stock prices go up, they will

794
00:40:18,760 --> 00:40:22,600
Speaker 2: use that money to do stock buybacks. Line go down,

795
00:40:23,080 --> 00:40:27,320
Speaker 2: They fire employees and like nobody in the c suite

796
00:40:27,360 --> 00:40:31,799
Speaker 2: gets touched AI. You know, they overstretch on AI, they

797
00:40:31,800 --> 00:40:35,319
Speaker 2: overestimate what it's able to do. They fire all the employees,

798
00:40:35,719 --> 00:40:38,400
Speaker 2: and then they're like, oops, are bad they hire them

799
00:40:38,400 --> 00:40:41,120
Speaker 2: back at like worse. It's just it's going it's an

800
00:40:41,160 --> 00:40:45,400
Speaker 2: inevitability because workers are just completely unprotected under this system, right,

801
00:40:45,480 --> 00:40:47,680
Speaker 2: and it's just going to keep happening until there's like

802
00:40:47,920 --> 00:40:52,000
Speaker 2: massive structural change that doesn't even seem like it's in

803
00:40:52,040 --> 00:40:57,319
Speaker 2: the conversation to happen right now unfortunately. So, yeah, it

804
00:40:57,400 --> 00:41:00,600
Speaker 2: feels like AI and everything is just going to be

805
00:41:00,640 --> 00:41:06,120
Speaker 2: an excuse to continue to make life worse in America

806
00:41:06,280 --> 00:41:08,400
Speaker 2: for the vast, vast majority of people.

807
00:41:08,520 --> 00:41:10,680
Speaker 1: It's also wild too, because I remember when they were

808
00:41:10,719 --> 00:41:14,040
Speaker 1: first talking about They're like, man, like the possibilities with automation.

809
00:41:14,200 --> 00:41:15,879
Speaker 1: Now we've maybe if we need to start talking about

810
00:41:15,880 --> 00:41:18,799
Speaker 1: a universal basic income from the gains that will get

811
00:41:18,840 --> 00:41:19,799
Speaker 1: from A do that shit.

812
00:41:19,960 --> 00:41:22,200
Speaker 2: Nobody's saying shit about that anymore.

813
00:41:22,239 --> 00:41:24,040
Speaker 1: It's like, I don't know, we dooped enough people on

814
00:41:24,080 --> 00:41:26,560
Speaker 1: Wall Street now that like there's too much momentum going

815
00:41:26,560 --> 00:41:27,279
Speaker 1: to fucking stop this.

816
00:41:27,800 --> 00:41:31,360
Speaker 2: They'll probably bring it back like as the next stage

817
00:41:31,480 --> 00:41:34,680
Speaker 2: of this, and it'll be like way too low. And

818
00:41:34,880 --> 00:41:37,800
Speaker 2: also the AI will still suck shit at its job,

819
00:41:37,920 --> 00:41:40,680
Speaker 2: and so the like things will be getting done worse

820
00:41:40,920 --> 00:41:44,040
Speaker 2: by AI, and people will be like living on a

821
00:41:44,040 --> 00:41:44,440
Speaker 2: lower or.

822
00:41:44,440 --> 00:41:47,520
Speaker 1: The dystopian version is like, come work at a company

823
00:41:47,600 --> 00:41:51,280
Speaker 1: town to be like the slight human handler for an AI.

824
00:41:51,400 --> 00:41:53,120
Speaker 2: But you're only going to work like an hour a day.

825
00:41:53,520 --> 00:41:57,600
Speaker 5: Yeah, enjoying your bug paste cubes exactly. Yeah, hey, only

826
00:41:57,640 --> 00:42:02,120
Speaker 5: three bug paste cubes, you dick. That's it's not our fault.

827
00:42:02,440 --> 00:42:04,680
Speaker 5: This guy's getting greedy with the bug paste jubes.

828
00:42:05,920 --> 00:42:08,440
Speaker 2: Jesus cracty. All right, should we do it. Let's just

829
00:42:08,560 --> 00:42:11,600
Speaker 2: knock another dystopian story out here real quick, just.

830
00:42:11,560 --> 00:42:15,920
Speaker 7: To let's go with the staff cuts at the federal

831
00:42:16,000 --> 00:42:20,640
Speaker 7: level that are leaving people open to you know, deadlier

832
00:42:20,719 --> 00:42:22,319
Speaker 7: weather events that there was.

833
00:42:22,440 --> 00:42:23,000
Speaker 2: This is wild.

834
00:42:23,160 --> 00:42:24,359
Speaker 3: I actually hadn't heard about this.

835
00:42:24,520 --> 00:42:27,280
Speaker 2: Yeah, there were. There were were tornadoes in eastern Kentucky

836
00:42:27,280 --> 00:42:31,080
Speaker 2: that killed twenty three people at least. The governor said

837
00:42:31,120 --> 00:42:34,320
Speaker 2: that the death toll is expected to rise. The deadliest

838
00:42:34,360 --> 00:42:38,000
Speaker 2: tornado of twenty twenty four, you know, seven people were

839
00:42:38,120 --> 00:42:40,680
Speaker 2: killed in Texas. This was twenty three.

840
00:42:40,800 --> 00:42:44,360
Speaker 1: People think it's now twenty seven between Missouri and Kentucky.

841
00:42:44,480 --> 00:42:49,000
Speaker 2: Yeah, yeah, like that's the like seven was the most

842
00:42:49,120 --> 00:42:52,200
Speaker 2: that died total in twenty twenty four in any individual state.

843
00:42:52,280 --> 00:42:55,719
Speaker 2: They're twenty three in Kentucky in like one event, And

844
00:42:55,800 --> 00:43:00,439
Speaker 2: so obviously we asked the question, how are tornadoes getting deadlier? Sure,

845
00:43:00,560 --> 00:43:02,920
Speaker 2: it can't be climate change because we don't believe in

846
00:43:02,960 --> 00:43:06,560
Speaker 2: that here in Kentucky in the South. In unrelated news,

847
00:43:06,680 --> 00:43:08,560
Speaker 2: the portion of the state of Kentucky where the deaths

848
00:43:08,600 --> 00:43:12,480
Speaker 2: occurred was served by a forecast office that, following all

849
00:43:12,480 --> 00:43:15,279
Speaker 2: the federal cuts from DOGE at the beginning of the

850
00:43:15,320 --> 00:43:20,560
Speaker 2: Trump administration, no longer has overnight staff. Yeah, and these

851
00:43:20,600 --> 00:43:23,160
Speaker 2: tornadoes happen tonight. That's like, and it's not just there.

852
00:43:23,200 --> 00:43:25,960
Speaker 2: Alaska has the same thing where there's no overnight coverage.

853
00:43:26,000 --> 00:43:30,680
Speaker 1: Parts of California, has affected Texas, Louisiana, Like you said, Kentucky,

854
00:43:30,760 --> 00:43:33,480
Speaker 1: it's all like many places are now I don't know

855
00:43:33,600 --> 00:43:35,000
Speaker 1: the work they.

856
00:43:34,920 --> 00:43:38,759
Speaker 2: Just can't afford. Yeah, it's just like a very straightforward, Oh,

857
00:43:38,800 --> 00:43:40,880
Speaker 2: this thing they're doing is really bad and we're going

858
00:43:40,960 --> 00:43:44,040
Speaker 2: to see the consequences soon. We're seeing the consequences, and

859
00:43:44,600 --> 00:43:46,720
Speaker 2: people are just kind of like, I don't know, gets

860
00:43:46,719 --> 00:43:49,759
Speaker 2: buried with a bunch of other news. But I am

861
00:43:49,880 --> 00:43:52,560
Speaker 2: hoping that tornadoes do the right thing and start keeping

862
00:43:52,600 --> 00:43:56,320
Speaker 2: to bankers hours going forward, for sure. Yeah, yeah, yeah, yeah.

863
00:43:56,840 --> 00:44:00,560
Speaker 3: I will say watching the original twister followed by the

864
00:44:00,560 --> 00:44:03,080
Speaker 3: most recent one is a good idea if anybody's wondering.

865
00:44:03,160 --> 00:44:05,399
Speaker 3: Yeah yeah, and right after the other, yeah, bang bang

866
00:44:05,520 --> 00:44:09,359
Speaker 3: time absolutely a twister bang bang yeah.

867
00:44:09,760 --> 00:44:12,120
Speaker 1: If you read Project twenty twenty five, because like that's

868
00:44:12,160 --> 00:44:14,920
Speaker 1: all part of like just they're like, fuck the Weather Service.

869
00:44:15,440 --> 00:44:17,880
Speaker 1: This is in the part about the Weather Service quote.

870
00:44:17,920 --> 00:44:21,720
Speaker 1: This industry's mission emphasis on prediction and management seems designed

871
00:44:21,719 --> 00:44:26,239
Speaker 1: around the fatal conceit of planning for the unplannable. And

872
00:44:26,280 --> 00:44:30,200
Speaker 1: they're like, and therefore, fucking Okay, we're rich. We don't

873
00:44:30,200 --> 00:44:33,400
Speaker 1: live in you know, trailer parks, so we're not gonna

874
00:44:33,480 --> 00:44:35,120
Speaker 1: get pulled away by it.

875
00:44:35,239 --> 00:44:36,640
Speaker 2: Oh I'm sorry. Was there?

876
00:44:37,239 --> 00:44:39,239
Speaker 1: What was the last time a tornado hit Manhattan?

877
00:44:41,280 --> 00:44:45,160
Speaker 2: I think will be a chuckle? Yeah right, yeah, seems bad.

878
00:44:45,400 --> 00:44:48,480
Speaker 2: Seems bad. Let's take a quick break and we'll be

879
00:44:48,520 --> 00:44:51,319
Speaker 2: back to talk about Jurassic Park or some some other shit.

880
00:45:02,440 --> 00:45:06,000
Speaker 2: And we're back. We're back. And did you guys see

881
00:45:06,040 --> 00:45:08,440
Speaker 2: the new Jurassic World rebirth trailer?

882
00:45:09,480 --> 00:45:09,560
Speaker 3: No?

883
00:45:09,640 --> 00:45:11,040
Speaker 2: I actually I saw that.

884
00:45:11,080 --> 00:45:13,440
Speaker 1: It came out like two days ago, and I stopped

885
00:45:13,480 --> 00:45:16,040
Speaker 1: myself because I'm kind of excited.

886
00:45:16,080 --> 00:45:18,160
Speaker 2: That I don't want to see too.

887
00:45:18,640 --> 00:45:19,799
Speaker 3: I didn't watch the trailer yet.

888
00:45:19,920 --> 00:45:22,880
Speaker 2: I'm a little bit excited about it too because the

889
00:45:23,000 --> 00:45:25,719
Speaker 2: so the one thing that's giving me hope is that

890
00:45:25,760 --> 00:45:29,000
Speaker 2: Gareth Edwards is directing it. He's a guy who made

891
00:45:29,120 --> 00:45:32,480
Speaker 2: like Rogue one and the Creator and like started off

892
00:45:32,520 --> 00:45:36,400
Speaker 2: with an indie movie that like was somehow like a

893
00:45:36,440 --> 00:45:39,759
Speaker 2: low budget indie movie that also was about giant monsters.

894
00:45:40,320 --> 00:45:43,000
Speaker 2: And he also made that Godzilla movie that was like

895
00:45:43,080 --> 00:45:46,479
Speaker 2: kind of divisive but a massive hit. But like he's

896
00:45:46,520 --> 00:45:49,360
Speaker 2: always with puff Daddy and Jimmy Page. That one, not

897
00:45:49,480 --> 00:45:52,239
Speaker 2: that one. No no, no, no no. That one's like

898
00:45:52,280 --> 00:45:57,480
Speaker 2: a universal disaster. Everybody agreed that one sucks shit that

899
00:45:57,520 --> 00:45:58,080
Speaker 2: I think that was.

900
00:45:58,400 --> 00:46:01,200
Speaker 1: That was the Ken Wattanabe one when he when he

901
00:46:01,239 --> 00:46:03,440
Speaker 1: first joined That one that's from him.

902
00:46:03,480 --> 00:46:04,480
Speaker 2: That was rolling Emeric.

903
00:46:04,600 --> 00:46:06,759
Speaker 3: I think, hey, man, that soundtrack was hot. I'm just

904
00:46:06,760 --> 00:46:11,040
Speaker 3: saying never I remember the best raid one of the

905
00:46:11,040 --> 00:46:14,080
Speaker 3: best rage songs, No Shelter, Yeah, man, that was so

906
00:46:14,160 --> 00:46:16,279
Speaker 3: much good stuff. I had that soundtrack, you remember why

907
00:46:17,040 --> 00:46:19,480
Speaker 3: Deeper Underground. That was the first time I heard that song.

908
00:46:19,880 --> 00:46:23,239
Speaker 1: I remember I buying that soundtrack and my dad was like,

909
00:46:23,880 --> 00:46:24,520
Speaker 1: why are you listening?

910
00:46:24,560 --> 00:46:24,719
Speaker 2: Nick?

911
00:46:24,760 --> 00:46:26,360
Speaker 1: What is this remix of Kashmir?

912
00:46:26,960 --> 00:46:27,719
Speaker 2: And I'm like what.

913
00:46:28,120 --> 00:46:30,120
Speaker 1: I'm like, this has come with me? Puff Daddy him,

914
00:46:32,560 --> 00:46:35,359
Speaker 1: no surprise, come with me and You're like, what the fuck?

915
00:46:36,000 --> 00:46:38,439
Speaker 2: What is? And then the SNL performance were Jimmy Page

916
00:46:38,440 --> 00:46:39,240
Speaker 2: and Puff Daddy.

917
00:46:39,000 --> 00:46:41,200
Speaker 1: Shore and then I remember my dad was like, you'd

918
00:46:41,239 --> 00:46:43,680
Speaker 1: really fuck with led Zeppelin if you think this is good?

919
00:46:44,040 --> 00:46:46,160
Speaker 1: And I'm like all right, and then that's when he

920
00:46:46,360 --> 00:46:48,400
Speaker 1: I remember he talked to me about John Bonham for

921
00:46:48,480 --> 00:46:51,520
Speaker 1: fifteen minutes and I I got so bored.

922
00:46:51,560 --> 00:46:56,640
Speaker 2: I remember, like, dude, I got a fucking oh wow,

923
00:46:56,719 --> 00:46:57,439
Speaker 2: I get it. Wow.

924
00:46:57,480 --> 00:47:00,440
Speaker 1: He somehow plays just behind the beat for this interesting

925
00:47:00,480 --> 00:47:01,160
Speaker 1: pocket feel.

926
00:47:01,520 --> 00:47:04,080
Speaker 2: I don't give a fuck, right, but the only used

927
00:47:04,160 --> 00:47:09,319
Speaker 2: one mic his son tried to do. He didn't quite

928
00:47:09,360 --> 00:47:10,800
Speaker 2: have the same chops as Bonzo.

929
00:47:10,880 --> 00:47:15,720
Speaker 1: I'm like, okay, fuck, dude, can we go to Taco

930
00:47:15,760 --> 00:47:17,640
Speaker 1: Bell to get this Gordiina. I'm trying to get the

931
00:47:17,800 --> 00:47:20,200
Speaker 1: Z piece to spell out Godzilla to win this family

932
00:47:20,239 --> 00:47:21,560
Speaker 1: a fucking billion dollars.

933
00:47:22,640 --> 00:47:25,960
Speaker 2: I feel like that was the least that Diddy like

934
00:47:26,120 --> 00:47:28,080
Speaker 2: did not add a lot to that song. I'm going

935
00:47:28,120 --> 00:47:30,600
Speaker 2: to say and I know it's controversial to speak ill

936
00:47:30,640 --> 00:47:33,920
Speaker 2: of Diddy right now. No, literally, like metrically speaking, I

937
00:47:33,920 --> 00:47:36,759
Speaker 2: don't think he added much. Yeah, No, he would just

938
00:47:36,800 --> 00:47:40,160
Speaker 2: like kind of shouted over it. He's like, what if

939
00:47:40,239 --> 00:47:42,759
Speaker 2: Kashmir was this other song I yelled on top of Yeah?

940
00:47:42,800 --> 00:47:45,600
Speaker 2: What if I yelled on top of cash? Would that

941
00:47:45,640 --> 00:47:50,200
Speaker 2: be cool? But anyways, this director has always seemed faded.

942
00:47:50,280 --> 00:47:53,799
Speaker 2: To make a Jurassic Park movie. They are dropping these

943
00:47:53,840 --> 00:47:57,640
Speaker 2: things fast and furious. They're just you know, they they

944
00:47:57,880 --> 00:48:01,840
Speaker 2: ended the last trilogy and and this must have already

945
00:48:01,880 --> 00:48:05,480
Speaker 2: been in production. They were like the final Jurassic One.

946
00:48:06,120 --> 00:48:08,560
Speaker 3: I just saw the original. I have never seen you

947
00:48:08,760 --> 00:48:12,759
Speaker 3: after that. The original Jurassic Park is a perfect film.

948
00:48:13,040 --> 00:48:14,520
Speaker 3: It's very good, still holds up.

949
00:48:15,000 --> 00:48:15,400
Speaker 2: I love it.

950
00:48:15,440 --> 00:48:17,120
Speaker 1: Every time they re release it, I go see it

951
00:48:17,480 --> 00:48:20,279
Speaker 1: because I'm permanently stuck at like nine years old when

952
00:48:20,320 --> 00:48:21,879
Speaker 1: it from me when it came out, and I'm like.

953
00:48:21,920 --> 00:48:22,520
Speaker 3: Oh, totally.

954
00:48:22,640 --> 00:48:25,520
Speaker 1: That's also why, for whatever reason, I think, you know,

955
00:48:25,560 --> 00:48:28,239
Speaker 1: I've had a tough year. I think I need this

956
00:48:28,320 --> 00:48:33,640
Speaker 1: to be my regression, to regress in the purest fucking way.

957
00:48:33,680 --> 00:48:36,839
Speaker 2: Don't fuck this up for me, Gareth. They haven't so

958
00:48:36,880 --> 00:48:39,040
Speaker 2: here's the thing that they haven't tried doing since the

959
00:48:39,239 --> 00:48:44,160
Speaker 2: first Jurassic Park is they haven't tried making a good one. Yeah,

960
00:48:44,160 --> 00:48:46,680
Speaker 2: I mean I guess they tried. Maybe day I could

961
00:48:46,719 --> 00:48:50,080
Speaker 2: help them with that. Thank you, this is you're a

962
00:48:50,080 --> 00:48:52,839
Speaker 2: couple of steps ahead of me. But I caught that lot.

963
00:48:52,920 --> 00:48:53,040
Speaker 1: You know.

964
00:48:53,200 --> 00:48:56,040
Speaker 2: Steven Spielberg made the second one, and it was like

965
00:48:56,120 --> 00:48:59,839
Speaker 2: it had some amazing sequences, but overall it was pretty bad.

966
00:49:00,200 --> 00:49:03,000
Speaker 2: So that not one of Steven Spielberg's best movies. And

967
00:49:03,719 --> 00:49:10,800
Speaker 2: they I feel like Jurassic World, the reboot, like after

968
00:49:10,920 --> 00:49:14,880
Speaker 2: the first three that were like based around the original movie,

969
00:49:15,360 --> 00:49:19,839
Speaker 2: the reboot Jurassic World, like I kind of think of

970
00:49:19,880 --> 00:49:24,000
Speaker 2: that as the point at which we were fucked as

971
00:49:24,120 --> 00:49:29,759
Speaker 2: like film goers, because it is it's the perfect encapsulation

972
00:49:30,040 --> 00:49:33,040
Speaker 2: of this new model where instead of like people who

973
00:49:33,080 --> 00:49:36,719
Speaker 2: love movies being the head of like development in studios,

974
00:49:37,239 --> 00:49:41,440
Speaker 2: they had marketing teams as the head of studios, and

975
00:49:41,560 --> 00:49:43,759
Speaker 2: like they were just like, well, we got to like

976
00:49:43,840 --> 00:49:48,160
Speaker 2: make a Jurassic Park movie where like the park's actually open, right,

977
00:49:48,280 --> 00:49:51,040
Speaker 2: and it's like, yeah, that's a that is an easy

978
00:49:51,120 --> 00:49:55,600
Speaker 2: movie to make, Like great trailers for and like ads

979
00:49:55,640 --> 00:49:59,640
Speaker 2: around and like the premise is just like fucking surefire,

980
00:50:00,280 --> 00:50:03,920
Speaker 2: and then you know the notes like apparently it was

981
00:50:04,000 --> 00:50:07,200
Speaker 2: just an impossible movie to make and it was kind

982
00:50:07,239 --> 00:50:09,680
Speaker 2: of a mess. It was very like me. So there

983
00:50:09,800 --> 00:50:12,560
Speaker 2: there is a drastic park ride that is based around

984
00:50:12,680 --> 00:50:15,200
Speaker 2: rafts that is like kind of the main one I

985
00:50:15,239 --> 00:50:20,200
Speaker 2: think at Universal and that one is it. Like people

986
00:50:20,360 --> 00:50:23,480
Speaker 2: were always like it's kind of weird because the book

987
00:50:23,680 --> 00:50:26,839
Speaker 2: that the original movie is based on like the centerpiece,

988
00:50:26,960 --> 00:50:29,719
Speaker 2: like the most exciting sequence and kind of the most

989
00:50:29,800 --> 00:50:32,479
Speaker 2: like cinematic. The first one, like after reading the book

990
00:50:32,520 --> 00:50:35,160
Speaker 2: that as a like twelve year old, I was like, well,

991
00:50:35,200 --> 00:50:38,360
Speaker 2: that's gonna be an awesome movie. Scene is a raft chase,

992
00:50:39,000 --> 00:50:42,680
Speaker 2: and Spielberg just didn't end up putting it in because

993
00:50:42,719 --> 00:50:46,040
Speaker 2: they had plenty without it. I guess that they have

994
00:50:46,160 --> 00:50:49,680
Speaker 2: put in this movie. This movie is written by the

995
00:50:49,880 --> 00:50:54,839
Speaker 2: writer of the original Drass Park screenplay, and it like

996
00:50:54,880 --> 00:50:58,359
Speaker 2: the trailer is like heavily featuring this raft chase where

997
00:50:58,440 --> 00:51:00,640
Speaker 2: like a t rex is like chasing them down a river.

998
00:51:00,880 --> 00:51:04,120
Speaker 1: I remember they they showed a section of it in

999
00:51:04,160 --> 00:51:04,759
Speaker 1: the first one.

1000
00:51:04,800 --> 00:51:07,640
Speaker 2: I was like, whoa, Yeah, they really kind of let

1001
00:51:07,680 --> 00:51:09,880
Speaker 2: you know that this is gonna they really let it

1002
00:51:09,920 --> 00:51:11,239
Speaker 2: breathe in this one.

1003
00:51:11,440 --> 00:51:15,240
Speaker 1: There's something terrifying though about like a t Rex being

1004
00:51:15,320 --> 00:51:18,439
Speaker 1: slowed by water and you're in a boat. Like that's

1005
00:51:18,480 --> 00:51:21,719
Speaker 1: even more psychologically fucked up. We're like, yeah, fuck, I

1006
00:51:22,000 --> 00:51:27,759
Speaker 1: look the water resistance slow. Yeah, because at least they

1007
00:51:27,760 --> 00:51:29,319
Speaker 1: were in the jeep when they were running from the

1008
00:51:29,320 --> 00:51:30,399
Speaker 1: t rex in the first one.

1009
00:51:30,440 --> 00:51:32,319
Speaker 2: Yeah, have you ever been like trying to run in

1010
00:51:32,480 --> 00:51:37,720
Speaker 2: water as fast for a rex? Ye? Rex? Yea in there. Yeah,

1011
00:51:37,880 --> 00:51:41,960
Speaker 2: but yeah, Spielberg apparently storyboarded the sequence for the original movie.

1012
00:51:42,280 --> 00:51:44,560
Speaker 2: They just never shot it. I think it was also

1013
00:51:44,640 --> 00:51:46,040
Speaker 2: like crazy expensive when you.

1014
00:51:46,000 --> 00:51:48,319
Speaker 3: Look at between it was probably between that and the

1015
00:51:48,320 --> 00:51:50,200
Speaker 3: part where the dinosaurs eat the dude in the in

1016
00:51:50,200 --> 00:51:50,959
Speaker 3: the bathroom stall.

1017
00:51:51,200 --> 00:51:54,959
Speaker 2: Yeah, the lawyer they chose wisely get the lobviously. Yeah,

1018
00:51:55,000 --> 00:51:56,919
Speaker 2: when you look at the making of that original movie,

1019
00:51:56,920 --> 00:51:59,680
Speaker 2: it's like there's a lot of it's kind of a

1020
00:51:59,680 --> 00:52:02,680
Speaker 2: mirror because like so little of it is actually CGI,

1021
00:52:03,200 --> 00:52:06,040
Speaker 2: Like most of it's just puppets and shit like that,

1022
00:52:06,080 --> 00:52:08,440
Speaker 2: and then they just like mixed in moments of CGI,

1023
00:52:08,800 --> 00:52:12,520
Speaker 2: which is why so much CGI since then has been

1024
00:52:12,520 --> 00:52:14,600
Speaker 2: so fucked because everyone was like, well, they did Jurassic

1025
00:52:14,600 --> 00:52:19,840
Speaker 2: Park with CGI some some Yeah, they did some. CGI

1026
00:52:20,000 --> 00:52:24,280
Speaker 2: was like seventy percent amazing, like the best in class

1027
00:52:24,320 --> 00:52:27,560
Speaker 2: practical effects we'd seen on film up to that point,

1028
00:52:27,880 --> 00:52:31,719
Speaker 2: plus like some shading from the CGI. Yeah, It's like

1029
00:52:31,800 --> 00:52:36,320
Speaker 2: it's still fucking stan Winston's genius that made that film possible.

1030
00:52:36,360 --> 00:52:39,440
Speaker 2: It's like his creatures, the Stan Winston creatures are like

1031
00:52:39,520 --> 00:52:42,719
Speaker 2: the fucking real engine of that movie visually. Yeah. But

1032
00:52:42,880 --> 00:52:46,640
Speaker 2: our writer JM McNab was, he's he's been on this

1033
00:52:46,719 --> 00:52:49,680
Speaker 2: for a while like that first his theory is that

1034
00:52:50,080 --> 00:52:53,840
Speaker 2: Steven Spielberg even like made Jurassic Park in the first

1035
00:52:53,840 --> 00:52:59,280
Speaker 2: place because he gets a cut of Universal Studios money,

1036
00:52:59,640 --> 00:53:01,200
Speaker 2: And he was like, this is going to be a

1037
00:53:01,360 --> 00:53:04,400
Speaker 2: sick ride. People are going to go to this. This

1038
00:53:04,440 --> 00:53:06,760
Speaker 2: is gonna be like the best ride that I've ever made.

1039
00:53:07,160 --> 00:53:10,600
Speaker 2: And he also points out like the ride is based

1040
00:53:10,640 --> 00:53:14,000
Speaker 2: on that scene in the movie. So there there's always

1041
00:53:14,040 --> 00:53:16,600
Speaker 2: a chance that Spielberg is like kind of pulling the

1042
00:53:16,640 --> 00:53:19,239
Speaker 2: strings here to be like, what if we did we

1043
00:53:19,320 --> 00:53:21,280
Speaker 2: finally made the river Reft ride.

1044
00:53:21,800 --> 00:53:24,000
Speaker 1: Yeah, Well, because then I guess his first bite of

1045
00:53:24,000 --> 00:53:26,680
Speaker 1: the apple would have been the et Adventure as a

1046
00:53:26,760 --> 00:53:30,040
Speaker 1: universal ride. That's probably the thing that got him the

1047
00:53:30,120 --> 00:53:32,560
Speaker 1: deal where they're like, hey, man, if you want to

1048
00:53:32,600 --> 00:53:34,759
Speaker 1: like make some rides based on your movies, like we'll

1049
00:53:34,760 --> 00:53:36,760
Speaker 1: give you a cut of the gate at the parks.

1050
00:53:37,560 --> 00:53:41,479
Speaker 1: And the ET ride was fine. I mean, the ET

1051
00:53:41,640 --> 00:53:43,799
Speaker 1: did say your name at the end. If it was

1052
00:53:44,120 --> 00:53:46,759
Speaker 1: in a name of a database of traditional names, a

1053
00:53:46,800 --> 00:53:50,360
Speaker 1: computer could say some traditionals, yeah, because I remember I

1054
00:53:50,360 --> 00:53:53,560
Speaker 1: remember going with my Japanese cousin. Her name's Misakle, and

1055
00:53:53,600 --> 00:53:55,799
Speaker 1: I'm Miles. In the beginning, they're like say your name

1056
00:53:55,920 --> 00:53:59,239
Speaker 1: or you type it in, and it was like goodbye Miles,

1057
00:53:59,600 --> 00:54:02,480
Speaker 1: and then they're like, it's gonna say your name Mesucle

1058
00:54:02,520 --> 00:54:11,440
Speaker 1: and is like just it was just like shipry, like yeah, yeah,

1059
00:54:11,480 --> 00:54:13,000
Speaker 1: but Martha.

1060
00:54:12,760 --> 00:54:18,720
Speaker 2: Or something goodbye honey, good good bye sweetheart.

1061
00:54:20,719 --> 00:54:20,919
Speaker 1: Here.

1062
00:54:21,680 --> 00:54:27,560
Speaker 2: Yeah, but anyways, I don't know. The Rebirth subtitle is

1063
00:54:27,600 --> 00:54:31,640
Speaker 2: actually giving Friday the thirteenth sequel where they like made

1064
00:54:31,960 --> 00:54:35,760
Speaker 2: a Jason Dies movie and then we're already in production

1065
00:54:35,840 --> 00:54:38,920
Speaker 2: on the like Jason Lives one like that. They're just

1066
00:54:38,920 --> 00:54:41,600
Speaker 2: like cranked out, but a lot of the big action

1067
00:54:41,719 --> 00:54:46,359
Speaker 2: moments actually are like have dinosaurs coming out of the water,

1068
00:54:46,400 --> 00:54:48,279
Speaker 2: which kind of reminds me of Jaws. I feel like

1069
00:54:48,320 --> 00:54:53,920
Speaker 2: it's it's giving Jaws. Johansen is like shooting one of

1070
00:54:53,920 --> 00:54:56,480
Speaker 2: the dinosaurs with like a spear gun, just like in Jaws.

1071
00:54:56,960 --> 00:54:59,240
Speaker 2: So I saw the trailer.

1072
00:54:59,360 --> 00:55:03,000
Speaker 1: There was like mega dinosaur that like flops out of

1073
00:55:03,040 --> 00:55:03,800
Speaker 1: the water next.

1074
00:55:03,640 --> 00:55:05,560
Speaker 2: To that boat, and I was like, mustsaurus.

1075
00:55:05,840 --> 00:55:08,920
Speaker 1: Yeah wow, Oh well you said the dinosaur's name, like

1076
00:55:08,920 --> 00:55:11,400
Speaker 1: you're hanging out with your kids a bunch who probably you're.

1077
00:55:11,239 --> 00:55:14,360
Speaker 2: Clearly book for this. There's a there's a cute children's

1078
00:55:14,360 --> 00:55:19,040
Speaker 2: book called Papasaurus and one one of the dinosaur friends

1079
00:55:19,200 --> 00:55:22,279
Speaker 2: that this this kid is playing this dinosaur kid is

1080
00:55:22,280 --> 00:55:25,719
Speaker 2: playing hide and seek with his dad, and one of

1081
00:55:25,760 --> 00:55:28,279
Speaker 2: the dinosaurs he visits task if they've seen his dad

1082
00:55:28,480 --> 00:55:30,800
Speaker 2: is the mostasaurus, and that most of the saurus is

1083
00:55:30,800 --> 00:55:33,200
Speaker 2: a little nicer than the one in this trailer. Oh wow,

1084
00:55:33,280 --> 00:55:33,759
Speaker 2: thank you. That.

1085
00:55:34,080 --> 00:55:37,680
Speaker 1: Okay, so it's not scary, it's not scary, Okay, watch it.

1086
00:55:37,960 --> 00:55:38,600
Speaker 2: I'll watch it.

1087
00:55:40,360 --> 00:55:45,640
Speaker 3: But yeah, and sorry, did you say muscle saurus mosa mosa?

1088
00:55:45,680 --> 00:55:48,160
Speaker 3: Okay I'm thinking like proteinosaurus or something.

1089
00:55:48,440 --> 00:55:53,920
Speaker 1: No, yeah, yeah, ripped, that's the credat kreodactyl.

1090
00:55:55,320 --> 00:55:57,520
Speaker 2: I think there's some dactyls in this one. That is

1091
00:55:57,520 --> 00:56:01,040
Speaker 2: my favorite thing about this. The later movies, I guess

1092
00:56:01,080 --> 00:56:05,360
Speaker 2: they didn't really have the ability to dactyls.

1093
00:56:05,640 --> 00:56:08,480
Speaker 1: Yeah, to get technically dinosaurs get sucked up in the

1094
00:56:08,520 --> 00:56:12,040
Speaker 1: sky by a fucking pterodactyl's that's that's big money.

1095
00:56:11,800 --> 00:56:12,800
Speaker 2: Bro sucked off into that.

1096
00:56:13,080 --> 00:56:14,560
Speaker 3: That's a fatality right there.

1097
00:56:14,520 --> 00:56:18,839
Speaker 2: Exactly fatality. All right. So we do want to end

1098
00:56:18,840 --> 00:56:21,680
Speaker 2: on some good news, and that is that, according to

1099
00:56:21,760 --> 00:56:25,560
Speaker 2: a new study, the universe and everything in it will

1100
00:56:25,600 --> 00:56:29,240
Speaker 2: decay into nothingness way sooner than anyone expected.

1101
00:56:29,320 --> 00:56:34,600
Speaker 1: Oh thank god, my yeah, that's the that's the ideal thing.

1102
00:56:34,760 --> 00:56:37,319
Speaker 1: We all go together and we don't have to feel bad,

1103
00:56:37,560 --> 00:56:39,319
Speaker 1: you know. So what is it like in like three

1104
00:56:39,360 --> 00:56:42,600
Speaker 1: weeks or what are you hey? I you know, yeah, yeah,

1105
00:56:42,640 --> 00:56:48,879
Speaker 1: let it dude, let's ghibbly mean it up a job, yeah, before.

1106
00:56:48,560 --> 00:56:51,279
Speaker 3: Bearing on, my love. It's all good. Yeah.

1107
00:56:51,320 --> 00:56:52,880
Speaker 2: So they used to think it was going to be

1108
00:56:53,120 --> 00:56:58,440
Speaker 2: ten to the power of one eleven hundred years. They

1109
00:56:58,480 --> 00:56:59,560
Speaker 2: used to think it was going to be ten to

1110
00:56:59,600 --> 00:57:02,640
Speaker 2: the power of eleven hundred years. But now it's apparently

1111
00:57:02,640 --> 00:57:04,560
Speaker 2: going to be ten to the power of seventy eight

1112
00:57:04,640 --> 00:57:09,160
Speaker 2: years so one followed by seventy eight zeros, and that's

1113
00:57:09,640 --> 00:57:11,960
Speaker 2: soon sooner.

1114
00:57:12,520 --> 00:57:14,200
Speaker 3: So this is the true.

1115
00:57:14,040 --> 00:57:16,840
Speaker 1: Yeah, by orders of magnitude, I guess seventy eight and

1116
00:57:16,920 --> 00:57:17,640
Speaker 1: eleven hundred.

1117
00:57:18,560 --> 00:57:23,320
Speaker 2: Ah well, all right, fine. I woke up a little

1118
00:57:23,360 --> 00:57:25,760
Speaker 2: earlier this morning. Once I read this news, I was like,

1119
00:57:25,920 --> 00:57:27,440
Speaker 2: I got some shit to do, man.

1120
00:57:27,440 --> 00:57:29,600
Speaker 1: I got to grind it out, dude, add those add

1121
00:57:29,640 --> 00:57:34,360
Speaker 1: that extra Yeah, get my affairs in order. You start

1122
00:57:34,400 --> 00:57:36,360
Speaker 1: talking like a grindset, dude. You're like, nah, dude, I

1123
00:57:36,360 --> 00:57:38,680
Speaker 1: saw that headline about the universe. Any I woke up

1124
00:57:38,720 --> 00:57:41,320
Speaker 1: an hour earlier. Okay, add that up over a week.

1125
00:57:41,480 --> 00:57:43,880
Speaker 1: I've got a slight advantage over you. Add that up

1126
00:57:43,960 --> 00:57:46,440
Speaker 1: over a half a year. I definitely have. I've been

1127
00:57:46,440 --> 00:57:49,040
Speaker 1: doing about a three weeks more worth of work than

1128
00:57:49,080 --> 00:57:51,720
Speaker 1: you have. Add that over ten years, man, I'm gone.

1129
00:57:52,120 --> 00:57:56,280
Speaker 2: You win. Gone. In the morning, I'm standing over you, shredded, shirtless,

1130
00:57:56,400 --> 00:57:59,040
Speaker 2: and guess what I and I'm the doctor. I just

1131
00:57:59,160 --> 00:58:02,600
Speaker 2: delivered you for birth. We started to clock over. That's

1132
00:58:02,600 --> 00:58:06,760
Speaker 2: how ahead of my time. I am. Okay, counting my money,

1133
00:58:07,160 --> 00:58:08,320
Speaker 2: counting my big coin.

1134
00:58:08,600 --> 00:58:11,280
Speaker 1: That's an actual thing I saw on a YouTube short

1135
00:58:11,320 --> 00:58:13,520
Speaker 1: where guys like you got to think of this way. Man,

1136
00:58:13,680 --> 00:58:16,320
Speaker 1: I'm waking up with those two extra hours, I don't sleep.

1137
00:58:16,440 --> 00:58:16,960
Speaker 2: You had that up.

1138
00:58:17,240 --> 00:58:19,960
Speaker 1: He like extrapolates that, He's like, within three years, I've

1139
00:58:19,960 --> 00:58:22,560
Speaker 1: actually done seven lifetimes worth the work that you haven't,

1140
00:58:22,600 --> 00:58:25,320
Speaker 1: and that you're like, no, you just sound sleep like

1141
00:58:25,360 --> 00:58:28,920
Speaker 1: thirty five companies. Yeah, no, precisely. It's that kind of

1142
00:58:28,960 --> 00:58:34,320
Speaker 1: like just very loose logic. We're like, yeah, thirty five companies.

1143
00:58:35,080 --> 00:58:39,200
Speaker 2: I've bought way more crypto. I've lost like three teeth

1144
00:58:39,520 --> 00:58:41,240
Speaker 2: because I started doing ice baths.

1145
00:58:41,280 --> 00:58:42,919
Speaker 3: Man, Yeah, exactly right.

1146
00:58:43,000 --> 00:58:46,440
Speaker 2: But yeah, so this is because the universe will gradually

1147
00:58:46,520 --> 00:58:51,440
Speaker 2: decay due to Hawking radiation first propose by Stephen Hawking,

1148
00:58:51,440 --> 00:58:56,000
Speaker 2: which involves particles and quantum fluctuations and a bunch of stuff.

1149
00:58:56,040 --> 00:58:58,919
Speaker 2: I totally understand about black holes that I'm not gonna

1150
00:58:58,920 --> 00:59:01,640
Speaker 2: bore you guys with right now now, even though, like

1151
00:59:01,680 --> 00:59:06,000
Speaker 2: I said, I understand it it's boring to you too.

1152
00:59:06,120 --> 00:59:08,919
Speaker 2: I fine, like you, I can see how it would

1153
00:59:08,960 --> 00:59:09,400
Speaker 2: be boring.

1154
00:59:10,080 --> 00:59:12,080
Speaker 1: I'm pretty interested, So like, what can he kind of

1155
00:59:12,080 --> 00:59:12,680
Speaker 1: explain that?

1156
00:59:13,880 --> 00:59:16,800
Speaker 2: So that's all the time we have for today's kind

1157
00:59:16,840 --> 00:59:19,920
Speaker 2: of a shorter episode. No you sure? Or like what?

1158
00:59:20,920 --> 00:59:24,520
Speaker 2: It all comes back to black holes? How you understand?

1159
00:59:25,880 --> 00:59:30,560
Speaker 2: And some where black holes event horizon the intense viational

1160
00:59:30,760 --> 00:59:36,760
Speaker 2: field prevents annihilation. Obviously we all know that, right sure?

1161
00:59:37,160 --> 00:59:38,600
Speaker 2: Do you ever be like.

1162
00:59:38,640 --> 00:59:42,040
Speaker 3: A physicist or a scientist to have like something named

1163
00:59:42,040 --> 00:59:43,480
Speaker 3: after you? You know what I mean?

1164
00:59:43,600 --> 00:59:45,040
Speaker 2: I mean, unless you want to be Do I get

1165
00:59:45,040 --> 00:59:49,960
Speaker 2: into that, like, unless somebody wants to name it after me? Well,

1166
00:59:50,080 --> 00:59:55,200
Speaker 2: you know when they're which I would recommend Brian Bullshit scale,

1167
00:59:55,920 --> 00:59:59,920
Speaker 2: the Buster dude, he's the charge.

1168
01:00:00,080 --> 01:00:03,320
Speaker 1: The O'Brien scale, it's a three point six on the open.

1169
01:00:03,240 --> 01:00:07,920
Speaker 2: Basically, So the event horizon process that I was just

1170
01:00:07,920 --> 01:00:12,320
Speaker 2: describing that we all understand over long time scales, Howkings

1171
01:00:12,320 --> 01:00:14,680
Speaker 2: theory suggests, and this is just how I talk. I'm

1172
01:00:14,680 --> 01:00:18,200
Speaker 2: not quoting space dot Com here, over long time scales.

1173
01:00:18,280 --> 01:00:21,440
Speaker 2: Hawkings theory suggests. This process causes the black hole to

1174
01:00:21,480 --> 01:00:26,800
Speaker 2: slowly evaporate, eventually vanishing, and once that happens, all bets

1175
01:00:26,800 --> 01:00:29,560
Speaker 2: are off. You know. Wow, oh wow, so easy to

1176
01:00:29,600 --> 01:00:29,840
Speaker 2: get her.

1177
01:00:29,960 --> 01:00:31,720
Speaker 1: I'm just like, I'm like, how but what would the

1178
01:00:32,000 --> 01:00:34,800
Speaker 1: experience like? Do we all just like like go to

1179
01:00:34,880 --> 01:00:37,840
Speaker 1: turn to dust like some fanos slap snap. But then

1180
01:00:37,960 --> 01:00:40,320
Speaker 1: I'm reading about how the end of the universe would

1181
01:00:40,320 --> 01:00:43,920
Speaker 1: cause a big crunch where everything goes and then that

1182
01:00:43,960 --> 01:00:47,000
Speaker 1: would set off another big bang and we start the

1183
01:00:47,080 --> 01:00:48,120
Speaker 1: universe all over again.

1184
01:00:48,280 --> 01:00:50,920
Speaker 2: Kind of beautiful, kind of it'll like be a big crunch,

1185
01:00:50,960 --> 01:00:53,280
Speaker 2: and then we'll realize we were just like some particle

1186
01:00:53,760 --> 01:00:58,160
Speaker 2: in some other like vast thing. We're just like minuscule

1187
01:00:58,680 --> 01:01:02,960
Speaker 2: dust on the app some some other thing to black,

1188
01:01:03,240 --> 01:01:05,560
Speaker 2: fade to black. And then Bob Dylan song comes up,

1189
01:01:05,600 --> 01:01:12,000
Speaker 2: so Mona. He was saying, and they and you said

1190
01:01:12,000 --> 01:01:15,640
Speaker 2: that you and your wife sing other music and Bob

1191
01:01:15,720 --> 01:01:18,760
Speaker 2: Dylan's boice. What's the what's the best match you found there?

1192
01:01:19,280 --> 01:01:22,360
Speaker 3: Oh man, oh god, can I think of something else?

1193
01:01:22,400 --> 01:01:25,600
Speaker 8: Happy birthday to you.

1194
01:01:26,240 --> 01:01:30,720
Speaker 2: I don't know, maybe like something like green Day, I said.

1195
01:01:30,680 --> 01:01:34,680
Speaker 1: Going down Rodeale with my shotgun, with my shotgun.

1196
01:01:37,280 --> 01:01:47,680
Speaker 8: Brand, They're like a tea wagon.

1197
01:01:47,760 --> 01:01:52,920
Speaker 2: I want the machines that are making them. Shot you,

1198
01:01:53,040 --> 01:01:56,720
Speaker 2: Hong Kong, such a pleasure on the Daily's like, where

1199
01:01:56,920 --> 01:01:59,440
Speaker 2: is the pleasure guy? Find you? Follow you all that

1200
01:01:59,480 --> 01:02:03,560
Speaker 2: good stuff on the one thing that I am on Instagram.

1201
01:02:03,600 --> 01:02:06,680
Speaker 2: I suppose I still use the name that you know

1202
01:02:07,240 --> 01:02:11,040
Speaker 2: it's my name, and maybe a little cultural reference Shahjastan

1203
01:02:11,360 --> 01:02:13,200
Speaker 2: because I'm you know, I'm definitely the only one that's

1204
01:02:13,240 --> 01:02:16,080
Speaker 2: ever thought of something like that. S H A H

1205
01:02:16,400 --> 01:02:18,120
Speaker 2: J I S T A N.

1206
01:02:18,640 --> 01:02:21,040
Speaker 3: And please, for the love of God, watch Deli Boys,

1207
01:02:21,080 --> 01:02:23,360
Speaker 3: so we can get a second seasons, get be employed

1208
01:02:23,360 --> 01:02:25,840
Speaker 3: because as I told you, my my loans are in forbearance,

1209
01:02:26,000 --> 01:02:28,800
Speaker 3: so come on, I would love to keep being able

1210
01:02:28,840 --> 01:02:29,720
Speaker 3: to chip away at those.

1211
01:02:30,120 --> 01:02:34,120
Speaker 2: And also, yes, watch after Math on Netflix. I play

1212
01:02:34,680 --> 01:02:38,760
Speaker 2: an ethnically ambiguous action hero in a movie about terrorists

1213
01:02:38,760 --> 01:02:41,600
Speaker 2: where I am not a terrorist. So I want wow

1214
01:02:41,880 --> 01:02:45,880
Speaker 2: there in your face, Hollywood, in your face? Or also,

1215
01:02:45,920 --> 01:02:48,960
Speaker 2: good job Hollywood, I guess please hire. Is there a

1216
01:02:49,320 --> 01:02:51,880
Speaker 2: work of media that you've been enjoying. I will give

1217
01:02:51,920 --> 01:02:55,000
Speaker 2: a shout out to my friend Kareem Rahama's Subway Takes

1218
01:02:56,160 --> 01:02:59,960
Speaker 2: and specifically the episode featuring the creator of Delhi. Bo

1219
01:03:00,160 --> 01:03:02,920
Speaker 2: is up the less talking about how men are the

1220
01:03:02,920 --> 01:03:07,320
Speaker 2: most the more emotional out of in the two gender situation,

1221
01:03:07,680 --> 01:03:09,600
Speaker 2: not that it's only you know what you're saying.

1222
01:03:09,640 --> 01:03:12,760
Speaker 1: Yeah, I feel in the in the binary perspective, in

1223
01:03:12,800 --> 01:03:13,800
Speaker 1: the binary world.

1224
01:03:14,120 --> 01:03:15,720
Speaker 3: Thank you thank you, Miles.

1225
01:03:16,280 --> 01:03:19,000
Speaker 2: Miles, Huh, where can people find you?

1226
01:03:19,440 --> 01:03:23,840
Speaker 9: And is that media trying me on the corner pushing

1227
01:03:23,920 --> 01:03:28,200
Speaker 9: dope with the dope boys? You know rappers is talking

1228
01:03:28,240 --> 01:03:30,480
Speaker 9: to me as if we're in the same boat.

1229
01:03:30,560 --> 01:03:35,080
Speaker 2: I tell them quick, no, I move Coke find me

1230
01:03:35,120 --> 01:03:38,720
Speaker 2: everywhere at Miles of Gray. Uh what else?

1231
01:03:38,920 --> 01:03:42,200
Speaker 1: Basketball podcast Myles and Jack got mad boost as I

1232
01:03:42,320 --> 01:03:44,680
Speaker 1: just I fully morph into a knickspan.

1233
01:03:44,840 --> 01:03:47,800
Speaker 2: Okay, it's just it's time baby. Oh and I don't

1234
01:03:47,800 --> 01:03:49,840
Speaker 2: know Sajahrne. You a Celtics fan? I know are you from?

1235
01:03:50,400 --> 01:03:52,040
Speaker 3: I don't watch sports in any way?

1236
01:03:52,240 --> 01:03:53,720
Speaker 2: Great, fantastic you are.

1237
01:03:54,040 --> 01:03:56,600
Speaker 3: You have transcended and if I did, I definitely would

1238
01:03:56,640 --> 01:03:58,000
Speaker 3: not watch Boston Sports.

1239
01:03:58,040 --> 01:04:01,240
Speaker 2: All right, good guy, he was a good egg. I

1240
01:04:01,280 --> 01:04:02,080
Speaker 2: knew he's a good egg.

1241
01:04:02,480 --> 01:04:05,120
Speaker 1: But anyway, Yeah, Jack on Mad Boosey's for NBA Talk

1242
01:04:05,520 --> 01:04:08,479
Speaker 1: four twenty d Fiance for ninety day Fiance Talk.

1243
01:04:09,840 --> 01:04:11,720
Speaker 2: Yeah, a working media I'm liking.

1244
01:04:12,120 --> 01:04:17,520
Speaker 1: Yeah Russian Oh yeah, yeah, yeah, how about that? This

1245
01:04:17,600 --> 01:04:20,600
Speaker 1: is from at in visit hole dot Besky dot Social.

1246
01:04:21,200 --> 01:04:24,480
Speaker 1: I'll be saying, explain yourself for every good morning I

1247
01:04:24,520 --> 01:04:28,280
Speaker 1: get tomorrow. I just like the idea of just clapping

1248
01:04:28,320 --> 01:04:31,840
Speaker 1: back immediately and then uh the Onion at the onion

1249
01:04:31,880 --> 01:04:34,800
Speaker 1: dot com on Blue Sky, I posted Republican infighting your

1250
01:04:34,800 --> 01:04:37,960
Speaker 1: reps over whether Trump Bill beautiful or handsome.

1251
01:04:40,640 --> 01:04:43,560
Speaker 2: I'd also love to shout out am radio traffic on

1252
01:04:43,640 --> 01:04:47,280
Speaker 2: the threes. Hell yeah, great traffic on the traffic on

1253
01:04:47,320 --> 01:04:49,280
Speaker 2: the threes. They've been doing him for a while now.

1254
01:04:49,960 --> 01:04:53,320
Speaker 2: Fucking just up I in the sky and I and

1255
01:04:53,440 --> 01:04:57,960
Speaker 2: the You know that is such a fucking grandiose name

1256
01:04:58,080 --> 01:05:00,800
Speaker 2: for what they're doing. Where your eye in the sky.

1257
01:05:01,880 --> 01:05:06,760
Speaker 2: You know that word that people made for God? That's us. Yeah,

1258
01:05:07,000 --> 01:05:11,800
Speaker 2: up here checking out traffic patterns a workimedia I've been enjoying.

1259
01:05:12,440 --> 01:05:16,840
Speaker 2: L bark at Franz Sherbet tweeted me to my AI

1260
01:05:17,000 --> 01:05:19,480
Speaker 2: enabled smart fridge in twenty thirty eight, do we have

1261
01:05:19,520 --> 01:05:22,920
Speaker 2: any milk left my fridge? Wow? Now that's a question

1262
01:05:22,960 --> 01:05:26,200
Speaker 2: worth exploring. By asking me something like that, you've proven

1263
01:05:26,280 --> 01:05:29,400
Speaker 2: that you're not thinking in ordinary ways. You're dialed into

1264
01:05:29,400 --> 01:05:35,160
Speaker 2: what's really vital about food. Let's dive in my god,

1265
01:05:35,280 --> 01:05:40,440
Speaker 2: you fridge, we just go back to ice boxes? Man, Hey,

1266
01:05:40,480 --> 01:05:45,320
Speaker 2: hawkings radiation? Could we knock this out by Uh? Yeah,

1267
01:05:45,760 --> 01:05:49,880
Speaker 2: I just did what my twenty thirty hawkings a Hawking, Hey,

1268
01:05:49,920 --> 01:05:50,800
Speaker 2: Brad Pitt's and.

1269
01:05:52,200 --> 01:05:55,920
Speaker 1: Hey, it's like the Thunders versus the Pelican later much.

1270
01:05:56,320 --> 01:06:00,360
Speaker 2: You can find me on Twitter at jack Undersquirrel, running

1271
01:06:00,400 --> 01:06:03,600
Speaker 2: on Blue Sky at Jackobe the Number one. You can

1272
01:06:03,640 --> 01:06:06,120
Speaker 2: find us on Twitter and Blue Sky at Daily Zeikeeist.

1273
01:06:06,160 --> 01:06:09,040
Speaker 2: We're at the Daily Zeikeist. On Instagram, you can go

1274
01:06:09,080 --> 01:06:11,560
Speaker 2: to the description of this episode wherever you're listening to it,

1275
01:06:11,920 --> 01:06:14,880
Speaker 2: and there you will find the footnote, which is where

1276
01:06:14,880 --> 01:06:16,680
Speaker 2: we link off to the information that we talked about

1277
01:06:16,680 --> 01:06:19,360
Speaker 2: in today's episode. We also link off to a song

1278
01:06:19,560 --> 01:06:22,680
Speaker 2: that we think you might enjoy. Hey, Miles, is there

1279
01:06:22,680 --> 01:06:24,120
Speaker 2: a song you think people might enjoy?

1280
01:06:24,440 --> 01:06:27,680
Speaker 1: Yeah? Yeah, I encounter a lot of interesting music on

1281
01:06:27,720 --> 01:06:31,480
Speaker 1: TikTok because my algorithm is mostly like interesting music, but

1282
01:06:31,520 --> 01:06:34,560
Speaker 1: then also trends that are happening there. And there's so

1283
01:06:34,640 --> 01:06:36,959
Speaker 1: many people I've seen just dancing to this like slow

1284
01:06:37,000 --> 01:06:41,200
Speaker 1: down version of Sam Galatri's Assumptions and just doing like

1285
01:06:41,320 --> 01:06:43,000
Speaker 1: a like a ballroom dance to it.

1286
01:06:43,520 --> 01:06:45,040
Speaker 2: Whatever. That's the TikTok trend.

1287
01:06:45,080 --> 01:06:49,360
Speaker 1: But there's actually an amazing k Tranada remix of Assumptions

1288
01:06:49,400 --> 01:06:52,840
Speaker 1: by Sam Gallatry and that's the track I want to.

1289
01:06:52,800 --> 01:06:53,240
Speaker 2: Go out on.

1290
01:06:53,400 --> 01:06:58,360
Speaker 1: It's the Assumptions k Tranada edit of Sam Gala Trees

1291
01:06:58,840 --> 01:07:02,200
Speaker 1: or Galatries Assumptions G E L L A I t

1292
01:07:02,360 --> 01:07:05,280
Speaker 1: R Y anyway search Patronata assumptions. It's going to come

1293
01:07:05,360 --> 01:07:07,080
Speaker 1: up and it's a banger.

1294
01:07:06,800 --> 01:07:08,320
Speaker 2: All right. We will link off to that in the

1295
01:07:08,480 --> 01:07:11,120
Speaker 2: footnotes for Daily is a production of by Heart Radio.

1296
01:07:11,120 --> 01:07:13,800
Speaker 2: For more podcasts from iHeart Radio, visit the iHeartRadio app,

1297
01:07:13,800 --> 01:07:15,840
Speaker 2: Apple podcast or wherever you listen to your favorite shows.

1298
01:07:15,840 --> 01:07:18,160
Speaker 2: That's going to do it for us this morning. We're

1299
01:07:18,200 --> 01:07:20,760
Speaker 2: back this afternoon to tell you what is trending, and

1300
01:07:20,920 --> 01:07:25,080
Speaker 2: we will talk to you all then. Bye, goodbye, bye bye, goodbye.

1301
01:07:25,560 --> 01:07:28,280
Speaker 1: The Daily zeit Geist is executive produced by Catherine Long,

1302
01:07:28,640 --> 01:07:30,800
Speaker 1: co produced by Bee Wang.

1303
01:07:30,880 --> 01:07:34,760
Speaker 2: Co produced by Victor Wright, co written by J. M McNabb,

1304
01:07:35,280 --> 01:07:37,760
Speaker 2: Edited and engineered by Justin Connor.