1
00:00:05,400 --> 00:00:07,320
Speaker 1: What's up, guys, what's up?

2
00:00:07,480 --> 00:00:08,080
Speaker 2: What's it going?

3
00:00:08,440 --> 00:00:09,120
Speaker 3: Welcome to the.

4
00:00:09,080 --> 00:00:11,399
Speaker 1: Show, Thanks for having me, thanks for doing it.

5
00:00:11,440 --> 00:00:15,720
Speaker 3: Congrats on the new special app Today album.

6
00:00:15,880 --> 00:00:18,840
Speaker 4: It's just an album. I wish it was an album. Yeah,

7
00:00:18,840 --> 00:00:25,480
Speaker 4: it's just an album. And yeah tomorrow, well we'll dropping

8
00:00:25,520 --> 00:00:29,080
Speaker 4: this one tomorrow. So just in a universe where we

9
00:00:29,120 --> 00:00:35,760
Speaker 4: are on Friday, just this is Friday time, I'm methoge Troy,

10
00:00:36,000 --> 00:00:40,279
Speaker 4: so right. The only thing that's different is that I

11
00:00:40,320 --> 00:00:42,400
Speaker 4: believe that it's Friday, and I'm going to be doing

12
00:00:42,440 --> 00:00:45,880
Speaker 4: a lot of cool stuff, like talking about thank God

13
00:00:45,920 --> 00:00:46,720
Speaker 4: it's Friday.

14
00:00:46,960 --> 00:00:48,600
Speaker 3: That's going to be most of the show. It was

15
00:00:48,640 --> 00:00:54,280
Speaker 3: just cool stuff about how cool Fridays are you, like

16
00:00:54,360 --> 00:00:55,560
Speaker 3: casual Fridays too?

17
00:00:55,920 --> 00:01:00,600
Speaker 1: Oh man, pass Friday. Change change your life once a week.

18
00:01:03,200 --> 00:01:07,520
Speaker 3: Just go real cash with it. Like where pajama pants,

19
00:01:08,040 --> 00:01:10,480
Speaker 3: pajama pants Friday.

20
00:01:11,560 --> 00:01:12,720
Speaker 1: That's called unemployed.

21
00:01:13,200 --> 00:01:17,760
Speaker 4: That's right, Yeah, soon enough it will be Yeah, that's uh,

22
00:01:17,840 --> 00:01:19,480
Speaker 4: that's got fired on Friday.

23
00:01:20,200 --> 00:01:22,080
Speaker 2: Yeah.

24
00:01:22,280 --> 00:01:26,520
Speaker 3: I haven't worked in a real office like workplace since

25
00:01:27,920 --> 00:01:32,080
Speaker 3: like decades ago. Do people, because I have seen how

26
00:01:32,080 --> 00:01:34,959
Speaker 3: people have changed what clothes they wear on airplanes, They've

27
00:01:34,959 --> 00:01:37,039
Speaker 3: gotten they've gone full pajamas.

28
00:01:37,200 --> 00:01:39,360
Speaker 2: You're doing you're doing. No one wears a suit on

29
00:01:39,400 --> 00:01:40,320
Speaker 2: the airplane anymore.

30
00:01:40,560 --> 00:01:43,199
Speaker 3: I'm furious about this, Andrew, But like I do, wonder

31
00:01:43,400 --> 00:01:46,280
Speaker 3: have casual Friday has gotten more casual since I was

32
00:01:46,319 --> 00:01:48,520
Speaker 3: last working in an office. I don't know.

33
00:01:49,120 --> 00:01:53,760
Speaker 2: I mean, you're looking very sharp for a podcast right now.

34
00:01:53,800 --> 00:01:57,560
Speaker 4: I know, business cash. I thank you very much. I'm

35
00:01:57,600 --> 00:02:00,160
Speaker 4: going to well, I'm going to dinner a couple of hours.

36
00:02:02,280 --> 00:02:07,800
Speaker 4: This isn't for us. That would not be No, absolutely not.

37
00:02:14,400 --> 00:02:17,399
Speaker 3: Hello the Internet, and welcome to season four to twenty six,

38
00:02:17,560 --> 00:02:21,440
Speaker 3: episode five of dir Daily Zeitgeist. It was a production

39
00:02:21,480 --> 00:02:23,160
Speaker 3: of Iyheart Radio is a podcast where we take a

40
00:02:23,160 --> 00:02:26,480
Speaker 3: deep dive into America share consciousness through the day's news.

41
00:02:26,600 --> 00:02:29,960
Speaker 3: We also have a new non news history version of

42
00:02:30,040 --> 00:02:32,280
Speaker 3: The Daily Zeikes dropping each Monday morning, where we do

43
00:02:32,320 --> 00:02:35,280
Speaker 3: a deep dive into the Zeikeeist through the lens of

44
00:02:35,320 --> 00:02:38,400
Speaker 3: a different icon. Last week you to Tony Hawk, and

45
00:02:39,240 --> 00:02:42,720
Speaker 3: beginning of this week we had this guy, Andrew Tee

46
00:02:42,800 --> 00:02:46,200
Speaker 3: on to look at the very strange history of the

47
00:02:46,280 --> 00:02:47,600
Speaker 3: original cocaine cup.

48
00:02:47,720 --> 00:02:52,240
Speaker 2: Sure fun, I say smoke cocaine more times than I

49
00:02:52,280 --> 00:02:52,720
Speaker 2: normally do.

50
00:02:53,120 --> 00:02:54,320
Speaker 3: You do he said a lot.

51
00:02:55,560 --> 00:02:58,320
Speaker 2: I love that he's spoked, he told you, and Jack's cocaine.

52
00:02:57,919 --> 00:03:02,359
Speaker 3: In Jack's cocaine a very underrated way cocaine delivery. I'm

53
00:03:02,400 --> 00:03:06,519
Speaker 3: not gonna say underrated, but underutilized. It's really fallen out

54
00:03:06,520 --> 00:03:10,120
Speaker 3: of fashion, the cocaine injection. Sure Sherlock did it, and

55
00:03:10,200 --> 00:03:13,400
Speaker 3: people were like, maybe maybe not that way.

56
00:03:13,520 --> 00:03:16,320
Speaker 2: It might make you too observe it, right, that's the

57
00:03:16,440 --> 00:03:17,320
Speaker 2: problems too.

58
00:03:17,400 --> 00:03:25,080
Speaker 3: Dang two, dang sharp. It's Friday, February twentieth, twenty twenty six.

59
00:03:25,240 --> 00:03:28,880
Speaker 3: My name is Jack O'Brien aka Potatoes O'Brien. I do

60
00:03:28,960 --> 00:03:32,160
Speaker 3: apologize to the discord. I've just had a crazy morning.

61
00:03:32,200 --> 00:03:35,680
Speaker 3: Otherwise I would have used one of your akas. I'm

62
00:03:35,720 --> 00:03:39,440
Speaker 3: thrilled to be joined in our second seat by one

63
00:03:39,480 --> 00:03:42,600
Speaker 3: of our very favorite guests, say hilarious and brilliant producer

64
00:03:42,640 --> 00:03:45,920
Speaker 3: and TV writer you know from the Joss Racist podcast

65
00:03:46,120 --> 00:03:50,200
Speaker 3: and the New Starter Trek podcast. It's Andrew Tube.

66
00:03:51,440 --> 00:03:58,640
Speaker 2: Bat Podas. Johnny Davis suggested that I was the pot

67
00:03:58,760 --> 00:04:04,480
Speaker 2: phantom of pot Opera. No, the pod opera pantom, Yeah opera.

68
00:04:04,760 --> 00:04:08,680
Speaker 2: It looked more like, well, I don't this is my

69
00:04:08,800 --> 00:04:11,720
Speaker 2: brain just getting i guess Epstein pilled. But even seeing

70
00:04:11,840 --> 00:04:18,120
Speaker 2: po D is just like I'm like, whoa, oh no, okay, yeah,

71
00:04:18,240 --> 00:04:20,839
Speaker 2: that's three of the letters right there. You know it's

72
00:04:20,880 --> 00:04:23,280
Speaker 2: too much, it's too much. I don't, I don't, I can't.

73
00:04:23,800 --> 00:04:26,080
Speaker 3: Why are you Phantom of the Pod Opera? Other than

74
00:04:26,600 --> 00:04:28,040
Speaker 3: a sick Apparently?

75
00:04:28,200 --> 00:04:33,239
Speaker 2: Apparently I suggested at some point doing an episode entirely

76
00:04:33,320 --> 00:04:38,800
Speaker 2: in a KA song parodies the whole episode where.

77
00:04:38,160 --> 00:04:43,000
Speaker 3: You would be hiding in the rafters. Yea, yes I did.

78
00:04:43,160 --> 00:04:46,680
Speaker 2: I did install a chandelier over Jack, just in case,

79
00:04:47,200 --> 00:04:47,799
Speaker 2: don't worry.

80
00:04:48,920 --> 00:04:53,040
Speaker 3: Things fancy, and it has a swing built into it.

81
00:04:53,400 --> 00:04:55,840
Speaker 2: I do wear a tuxedo at all times, at all times.

82
00:04:55,800 --> 00:04:58,080
Speaker 3: Whether it be on the plane, whether it be on

83
00:04:58,160 --> 00:05:00,000
Speaker 3: a private plane. And we're not going to talk about

84
00:05:00,560 --> 00:05:04,440
Speaker 3: what the tail number is on that private WHOA, come on, dog, Andrew.

85
00:05:04,560 --> 00:05:07,520
Speaker 3: We're thrilled to be joined by a very funny comedian

86
00:05:07,760 --> 00:05:12,880
Speaker 3: whose new album, Troy Walker Esquire is out today. It's

87
00:05:13,080 --> 00:05:13,800
Speaker 3: Troy Walker.

88
00:05:17,080 --> 00:05:19,359
Speaker 1: I'm very excited to talk to you about all manner

89
00:05:19,400 --> 00:05:21,000
Speaker 1: of news and nonsense.

90
00:05:21,600 --> 00:05:24,960
Speaker 3: There you go. We're thrilled to have you a sharp

91
00:05:25,080 --> 00:05:29,480
Speaker 3: dressed man looking good explicitly.

92
00:05:29,440 --> 00:05:30,359
Speaker 4: Sir, I own.

93
00:05:32,920 --> 00:05:36,560
Speaker 3: With buttons. I really do have like a handful. Like

94
00:05:36,640 --> 00:05:39,080
Speaker 3: I have like maybe two or three button shirts. And

95
00:05:39,880 --> 00:05:43,400
Speaker 3: I go into the office and like take like in

96
00:05:43,520 --> 00:05:47,280
Speaker 3: person meetings rarely enough that I'm like, still, I think

97
00:05:47,360 --> 00:05:49,560
Speaker 3: I'm at a good place where like they haven't figured

98
00:05:49,560 --> 00:05:54,520
Speaker 3: out my shirt scheme. It's just like, what if I

99
00:05:54,600 --> 00:05:58,520
Speaker 3: wear this button up shirt unbuttoned with a different colored

100
00:05:58,560 --> 00:06:01,000
Speaker 3: shirt underneath it than the one that I were last time?

101
00:06:01,520 --> 00:06:03,200
Speaker 3: Nobody's cat Yes, switch it up.

102
00:06:03,680 --> 00:06:08,880
Speaker 4: Yeah, my my, My situation is similar but a little

103
00:06:08,920 --> 00:06:12,200
Speaker 4: different in that I get I only have a few

104
00:06:12,279 --> 00:06:15,920
Speaker 4: button up shirts, but I get new ones when the

105
00:06:16,000 --> 00:06:17,239
Speaker 4: old ones stop buttoning.

106
00:06:17,880 --> 00:06:20,960
Speaker 3: Yeah yeah, yeah, yeah, well no when.

107
00:06:20,880 --> 00:06:24,280
Speaker 1: You got this one got tight on me?

108
00:06:24,839 --> 00:06:29,800
Speaker 3: Yeah, my shirt shirts do shrink, and they do shrink,

109
00:06:30,080 --> 00:06:34,760
Speaker 3: and that's that's a fact. Okay, the big shirt doesn't

110
00:06:34,800 --> 00:06:41,760
Speaker 3: want to admit, all right, So tight my neck, Troy.

111
00:06:41,800 --> 00:06:43,280
Speaker 3: We're thrilled to have you. We're gonna get to know

112
00:06:43,360 --> 00:06:45,240
Speaker 3: you a little bit better in a moment. First, we're

113
00:06:45,240 --> 00:06:47,359
Speaker 3: gonna tell the listeners a couple of things. We're talking

114
00:06:47,360 --> 00:06:52,280
Speaker 3: about Donald Trump's making some more noises. Yeah, so we

115
00:06:52,400 --> 00:06:55,159
Speaker 3: do just I mean, as a service, we'll we'll tell

116
00:06:55,200 --> 00:06:57,800
Speaker 3: you what exactly is going on. They're all very rational,

117
00:06:57,960 --> 00:07:00,960
Speaker 3: very sane, and uh, you know, very very well reasoned.

118
00:07:01,400 --> 00:07:03,520
Speaker 3: We'll do a quick check in with AI. Also, I

119
00:07:03,600 --> 00:07:07,640
Speaker 3: feel like this is dominating news headlines lately. People are like, okay,

120
00:07:07,720 --> 00:07:12,800
Speaker 3: but seriously, this time, AI is about to get ready, fuckers,

121
00:07:13,200 --> 00:07:13,600
Speaker 3: come on to.

122
00:07:13,840 --> 00:07:16,400
Speaker 2: Come on, brother, give me, give me just another, just another,

123
00:07:16,560 --> 00:07:18,520
Speaker 2: just another, like a couple of billion dollars in.

124
00:07:18,600 --> 00:07:21,600
Speaker 3: Like all the water in Nevada. It's all we need,

125
00:07:21,920 --> 00:07:25,520
Speaker 3: and it will just magically make your job disappear. Like

126
00:07:26,520 --> 00:07:30,680
Speaker 3: the promise is uh, you know, it's almost too good

127
00:07:30,720 --> 00:07:33,760
Speaker 3: to be true. I can't wait. But uh, we just

128
00:07:33,840 --> 00:07:36,000
Speaker 3: want to look at like what is actually being done

129
00:07:36,040 --> 00:07:39,760
Speaker 3: with AI, which is so rarely part of that conversation.

130
00:07:40,160 --> 00:07:44,000
Speaker 3: It's really just like we will convert trillions of dollars

131
00:07:44,160 --> 00:07:49,600
Speaker 3: of investment into stock prices that go up, and uh,

132
00:07:50,680 --> 00:07:52,920
Speaker 3: executive CEO Boners.

133
00:07:53,000 --> 00:07:58,080
Speaker 2: Yeah, trillions of dollars of investment into millions of dollars of.

134
00:07:59,560 --> 00:08:03,800
Speaker 3: Profit for something some people. And then we'll also, yeah,

135
00:08:03,840 --> 00:08:07,360
Speaker 3: so we'll look at a new report about how often

136
00:08:08,000 --> 00:08:10,280
Speaker 3: the CEOs, the very people who seem to be most

137
00:08:10,360 --> 00:08:13,720
Speaker 3: excited about this technology are actually using that ship, and

138
00:08:13,840 --> 00:08:18,080
Speaker 3: then we'll also look at a new fully AI run school.

139
00:08:18,440 --> 00:08:23,760
Speaker 3: Oh hell yeah, that's almost as good as that that implies.

140
00:08:24,160 --> 00:08:29,520
Speaker 3: And and also the grandson of the recy fortune has

141
00:08:29,640 --> 00:08:33,240
Speaker 3: been like, look, let's admitted these are these are getting worse? Right?

142
00:08:34,360 --> 00:08:36,000
Speaker 3: These suck? They suck? Now?

143
00:08:36,360 --> 00:08:41,120
Speaker 2: What an ungrateful motherfucker? How dare you speak to name?

144
00:08:41,520 --> 00:08:43,520
Speaker 3: But I do, I do think this is happening, and

145
00:08:43,559 --> 00:08:45,640
Speaker 3: I don't think we have a great apparatus for like

146
00:08:45,840 --> 00:08:48,880
Speaker 3: spotting it when like a products just get worse. So

147
00:08:49,360 --> 00:08:54,480
Speaker 3: I do the boiler frog problem. They're just every month

148
00:08:54,679 --> 00:08:57,839
Speaker 3: they make the Reese's cups a little bit smaller, and

149
00:08:58,400 --> 00:09:02,679
Speaker 3: nobody notices until it's you know, we're all, you know,

150
00:09:03,120 --> 00:09:06,280
Speaker 3: celebrating and you know, using a knife and fork to

151
00:09:07,000 --> 00:09:10,760
Speaker 3: divvy up the prices cup to our family, and it's

152
00:09:11,080 --> 00:09:13,240
Speaker 3: actually the size of what used to be the little

153
00:09:13,320 --> 00:09:16,000
Speaker 3: fun sized cup. You're like a note anymore.

154
00:09:15,840 --> 00:09:19,360
Speaker 2: A cartoon hobo with a bean exactly.

155
00:09:20,600 --> 00:09:24,320
Speaker 3: How I feed my family all that plenty more. But first, Troy,

156
00:09:24,400 --> 00:09:26,520
Speaker 3: we do like to ask our guest, what is something

157
00:09:26,600 --> 00:09:29,240
Speaker 3: from your search history that's revealing about who you are?

158
00:09:29,720 --> 00:09:37,160
Speaker 4: Well, yesterday I googled Days of thunder cast Hell yeah,

159
00:09:37,320 --> 00:09:41,000
Speaker 4: I don't know if you've seen that movie Days of Thunder? Yeah, no,

160
00:09:41,200 --> 00:09:44,240
Speaker 4: I mean no, but we how how did you get

161
00:09:44,280 --> 00:09:44,599
Speaker 4: into it?

162
00:09:45,040 --> 00:09:46,760
Speaker 1: Here's that? So I was on the plane.

163
00:09:47,640 --> 00:09:52,439
Speaker 4: I'm in Chicago currently and Days of Thunder was available

164
00:09:52,920 --> 00:09:56,520
Speaker 4: in my I don't want to brag to coach the United.

165
00:09:56,240 --> 00:10:00,480
Speaker 3: So okay, okay, sir, So you weren't You weren't in

166
00:10:00,600 --> 00:10:02,760
Speaker 3: a steerage. You weren't. You weren't in the overhead been

167
00:10:02,880 --> 00:10:05,599
Speaker 3: the way I like to travel. I just yeah, you know,

168
00:10:06,000 --> 00:10:09,920
Speaker 3: so we're talking about the Tom Cruise, Yeah, the Tom

169
00:10:10,000 --> 00:10:12,760
Speaker 3: Cruise film Days of Thunder. For some reason, my mind

170
00:10:12,840 --> 00:10:18,240
Speaker 3: went to, isn't there like an Australian magic mic show called.

171
00:10:18,080 --> 00:10:20,240
Speaker 2: Like Thunder Thunder from down Under Thunder?

172
00:10:21,280 --> 00:10:21,480
Speaker 4: Yeah?

173
00:10:21,559 --> 00:10:24,959
Speaker 2: That vastly inferior to magic to the magic mic of

174
00:10:25,320 --> 00:10:26,240
Speaker 2: Vegas show as far.

175
00:10:26,280 --> 00:10:29,040
Speaker 3: I just wanted to make sure they caught strays real quick.

176
00:10:29,200 --> 00:10:32,959
Speaker 3: But Days of Thunder, yeah, classic eighties movie that I

177
00:10:33,080 --> 00:10:36,520
Speaker 3: saw when I was like nine, and it's been like

178
00:10:37,320 --> 00:10:41,000
Speaker 3: preserved in amber as a pretty good movie since I

179
00:10:41,080 --> 00:10:41,319
Speaker 3: saw it.

180
00:10:42,320 --> 00:10:44,920
Speaker 1: Yeah, I mean I haven't. I haven't seen it in

181
00:10:45,000 --> 00:10:45,480
Speaker 1: a long time.

182
00:10:45,520 --> 00:10:48,319
Speaker 4: But I was talking with a friend about it just

183
00:10:48,360 --> 00:10:50,400
Speaker 4: the other day because I also saw it when I

184
00:10:50,559 --> 00:10:50,960
Speaker 4: was a kid.

185
00:10:51,800 --> 00:10:52,360
Speaker 1: I loved it.

186
00:10:52,800 --> 00:10:55,040
Speaker 4: And it is also one of those movies that's like

187
00:10:55,440 --> 00:10:59,880
Speaker 4: just very in my movie Wheelhouse by like eighty dude

188
00:11:00,080 --> 00:11:03,360
Speaker 4: movie Wheelhouse. Yeah, you know, because it's top Gun with cars.

189
00:11:03,480 --> 00:11:07,120
Speaker 4: It's just like, like, I love top Gun, Top Gun, Maverick,

190
00:11:07,520 --> 00:11:08,120
Speaker 4: give me a little.

191
00:11:08,520 --> 00:11:09,079
Speaker 1: I'm liked.

192
00:11:09,160 --> 00:11:12,679
Speaker 4: Apparently one of the only people that's that thinks F

193
00:11:12,800 --> 00:11:15,560
Speaker 4: one deserves to have been nominated for an Oscar.

194
00:11:15,840 --> 00:11:18,080
Speaker 2: I was gonna say, it's isn't it the same writers

195
00:11:18,320 --> 00:11:20,920
Speaker 2: F one or or same director or somebody it has

196
00:11:21,000 --> 00:11:25,240
Speaker 2: some DNA with F one? I believe, Yeah, I believe.

197
00:11:25,320 --> 00:11:28,080
Speaker 1: I mean, I don't know if it's the same director,

198
00:11:28,520 --> 00:11:30,040
Speaker 1: but it's it.

199
00:11:30,240 --> 00:11:33,640
Speaker 3: Maybe they're both scripts written by the same seven year

200
00:11:33,720 --> 00:11:40,600
Speaker 3: old who's like Cargo Go Fast and car Car last

201
00:11:40,800 --> 00:11:43,400
Speaker 3: I will say Days of Thunder not like for whatever

202
00:11:43,440 --> 00:11:45,800
Speaker 3: reason when you just mentioned it, it was like my

203
00:11:46,000 --> 00:11:51,079
Speaker 3: my brain wasn't contextualizing it correctly as a title, so

204
00:11:51,400 --> 00:11:53,679
Speaker 3: it goes so much harder than it needs to. Like

205
00:11:54,000 --> 00:11:57,320
Speaker 3: F one, even top Gun is just like top Gun

206
00:11:57,679 --> 00:12:00,000
Speaker 3: is the best gun, the one that's on the plane.

207
00:12:00,800 --> 00:12:05,800
Speaker 3: Days of Thunder is like, okay, all right, Shakespeare, pretty

208
00:12:05,920 --> 00:12:10,480
Speaker 3: pretty brilliant, pretty beautiful title for this NASCAR movie with

209
00:12:10,679 --> 00:12:17,000
Speaker 3: characters named Cole Trickle. They just certain certain names, certain

210
00:12:17,520 --> 00:12:20,160
Speaker 3: parts of They're like, Yeah, this is a very straightforward

211
00:12:20,280 --> 00:12:22,760
Speaker 3: NASCAR movie about a kind of a dumb sport, and

212
00:12:22,880 --> 00:12:26,679
Speaker 3: we're just gonna pack poetry into the title and the

213
00:12:26,800 --> 00:12:28,079
Speaker 3: names of the characters.

214
00:12:28,640 --> 00:12:30,959
Speaker 2: You just had to do real titles at some point.

215
00:12:31,240 --> 00:12:34,160
Speaker 1: Yeah, Tom Cruise and a young Nicole kidman, and you're

216
00:12:34,200 --> 00:12:35,079
Speaker 1: gonna love us for it.

217
00:12:36,000 --> 00:12:37,600
Speaker 3: Yeah, is that.

218
00:12:39,760 --> 00:12:40,440
Speaker 2: Where they met?

219
00:12:42,120 --> 00:12:45,800
Speaker 4: Where they met? I think it's maybe like her first

220
00:12:46,040 --> 00:12:49,040
Speaker 4: big Hollywood movie. I'm not sure that's accurate, but I

221
00:12:49,559 --> 00:12:50,199
Speaker 4: think it may be.

222
00:12:50,320 --> 00:12:54,000
Speaker 2: Yeah, And this is vibes. This podcast is vibes only,

223
00:12:54,280 --> 00:12:56,080
Speaker 2: by the way, Jack, this podcast is vibes only.

224
00:12:56,800 --> 00:12:56,959
Speaker 4: Yeah.

225
00:12:57,080 --> 00:13:01,360
Speaker 1: Yeah, no facts, no facts, no, No, but it's I

226
00:13:01,440 --> 00:13:02,559
Speaker 1: could be wrong, I was.

227
00:13:03,880 --> 00:13:04,080
Speaker 2: Yeah.

228
00:13:05,320 --> 00:13:07,840
Speaker 3: Are you saying you could be wrong that Tom Cruise

229
00:13:07,920 --> 00:13:08,840
Speaker 3: might not be in that one?

230
00:13:09,920 --> 00:13:09,959
Speaker 4: No?

231
00:13:10,120 --> 00:13:11,760
Speaker 1: No, No, I'm saying I could be wrong as to

232
00:13:11,840 --> 00:13:13,800
Speaker 1: whether or not it is the kidna.

233
00:13:13,880 --> 00:13:18,080
Speaker 2: Yeah, but that's what it feels like, a curly yeah.

234
00:13:18,120 --> 00:13:22,040
Speaker 4: Yeah, and she's after jacket and she's just staring at

235
00:13:22,120 --> 00:13:25,840
Speaker 4: Tom Cruise going like you, you idiot, you gearhead idiot.

236
00:13:26,400 --> 00:13:29,400
Speaker 4: And then she's like, but I love you. Yeah, and

237
00:13:29,520 --> 00:13:32,000
Speaker 4: I think you know, there's something beautiful about that.

238
00:13:32,440 --> 00:13:36,360
Speaker 3: According to Google's AI Overview, Nicole Kibmen's first major Hollywood

239
00:13:36,440 --> 00:13:41,000
Speaker 3: movie was the nineteen ninety action film Days of thunder Joy.

240
00:13:41,760 --> 00:13:46,880
Speaker 4: Congratulations, man, you have an I felt like that American

241
00:13:46,920 --> 00:13:50,000
Speaker 4: idol apprehension for a second before you revealed that you

242
00:13:50,080 --> 00:13:51,480
Speaker 4: had like a little bit of a pause.

243
00:13:52,400 --> 00:13:54,280
Speaker 3: No, I don't know. American idol. Is that kind of

244
00:13:54,360 --> 00:13:55,240
Speaker 3: like Masked Singer?

245
00:13:55,720 --> 00:13:56,800
Speaker 4: Is that? Yeah?

246
00:13:58,000 --> 00:14:01,880
Speaker 1: That's my family. You gave it that reality show review,

247
00:14:02,000 --> 00:14:04,439
Speaker 1: and it's like, am I about to look?

248
00:14:05,679 --> 00:14:05,719
Speaker 4: No?

249
00:14:06,640 --> 00:14:10,000
Speaker 2: No, you're You're there. You're the John Henry of movie facts.

250
00:14:10,080 --> 00:14:13,160
Speaker 2: You you's you versus AI. You're gonna win or you're

251
00:14:13,200 --> 00:14:15,360
Speaker 2: gonna die. I don't remember what happens at the end

252
00:14:15,360 --> 00:14:16,120
Speaker 2: of the John Henry.

253
00:14:17,920 --> 00:14:19,800
Speaker 1: One of the nicest things anyone's ever said.

254
00:14:20,080 --> 00:14:23,720
Speaker 3: Yeah, John Henry, movie movie facts.

255
00:14:23,760 --> 00:14:24,240
Speaker 1: I'll take it.

256
00:14:24,640 --> 00:14:26,920
Speaker 3: Have you guys watched The Masked Singer, by the way,

257
00:14:27,120 --> 00:14:29,920
Speaker 3: I'd never watched it. Yeah, I had never watched it.

258
00:14:30,080 --> 00:14:34,560
Speaker 3: And then we for the Tony hawk Icons episode. Sure

259
00:14:34,880 --> 00:14:37,680
Speaker 3: that one kind of has like a sad the Tony

260
00:14:37,720 --> 00:14:40,640
Speaker 3: hawk Icon story kind of as a sad ending where

261
00:14:41,080 --> 00:14:43,880
Speaker 3: it's like, you know, the end of Tar where she's like,

262
00:14:44,560 --> 00:14:47,720
Speaker 3: uh direct conducting music for a video game and like

263
00:14:47,880 --> 00:14:51,920
Speaker 3: another country and like her career. Like that's kind of

264
00:14:52,640 --> 00:14:56,240
Speaker 3: how it felt with Tony Hawk, like being the the

265
00:14:56,360 --> 00:15:00,480
Speaker 3: first eliminated from the masked singer. But I had I

266
00:15:00,640 --> 00:15:03,480
Speaker 3: like watched the clip of him being revealed, and I

267
00:15:03,640 --> 00:15:07,040
Speaker 3: was like, wow, this is like truly dystopia, Like just

268
00:15:07,120 --> 00:15:10,800
Speaker 3: the feeling, the editing. It really is like on the

269
00:15:10,960 --> 00:15:15,880
Speaker 3: nose what any filmmaker from even like fifteen years ago

270
00:15:16,120 --> 00:15:19,080
Speaker 3: would have done. Like it like it feels like the

271
00:15:19,240 --> 00:15:24,400
Speaker 3: TV from the universe of RoboCop. Yeah, we're in Paulo Verse. Yes,

272
00:15:24,520 --> 00:15:26,600
Speaker 3: we live very Verhovian.

273
00:15:27,160 --> 00:15:28,040
Speaker 1: It's it's is.

274
00:15:28,320 --> 00:15:30,680
Speaker 4: It is depressing, especially because of the fact that it

275
00:15:30,840 --> 00:15:34,440
Speaker 4: feels like you can almost hear someone's agent going okay,

276
00:15:34,520 --> 00:15:39,120
Speaker 4: so Dancing with the Stars said, no, that's right, Like

277
00:15:39,280 --> 00:15:43,480
Speaker 4: it feels like right below that level of like having

278
00:15:43,640 --> 00:15:47,240
Speaker 4: fallen off, you know, just the whole idea where they

279
00:15:47,320 --> 00:15:52,160
Speaker 4: take the thing off and it's like, oh my god, Sarah, Right, Yeah.

280
00:15:53,720 --> 00:15:56,600
Speaker 3: They like pretend like they can't get it the head off,

281
00:15:57,120 --> 00:15:59,960
Speaker 3: so that like there's some really build up the suspense,

282
00:16:00,720 --> 00:16:03,760
Speaker 3: and I learned from that and that's why I built

283
00:16:03,840 --> 00:16:05,840
Speaker 3: up the suspense, and that's the way I overview.

284
00:16:06,080 --> 00:16:10,280
Speaker 4: I love the acting skills of the judges too, like

285
00:16:10,360 --> 00:16:13,960
Speaker 4: when they reveal it and they're like, oh, my ship.

286
00:16:18,200 --> 00:16:18,880
Speaker 1: Blown away.

287
00:16:22,160 --> 00:16:24,800
Speaker 3: Which person who can't sing is going to be outside?

288
00:16:26,120 --> 00:16:26,280
Speaker 4: Ah?

289
00:16:26,440 --> 00:16:28,880
Speaker 3: Yes, of course. What is something, Troy that you think

290
00:16:29,040 --> 00:16:29,880
Speaker 3: is underrated?

291
00:16:30,840 --> 00:16:37,960
Speaker 4: Chain restaurants under Yeah? Yeah, yeah, restaurants very underrated. I

292
00:16:38,000 --> 00:16:41,800
Speaker 4: feel like certain ones better than others. But you know,

293
00:16:42,080 --> 00:16:45,480
Speaker 4: I think I think you can't really you need to

294
00:16:45,600 --> 00:16:48,320
Speaker 4: appreciate the ability to be in almost any city in

295
00:16:48,400 --> 00:16:52,800
Speaker 4: the country and go cheesecake factory. Yeah, I'll be at

296
00:16:52,920 --> 00:16:57,480
Speaker 4: least satisfied. You know, there's no like mistakes stuffed.

297
00:16:58,640 --> 00:17:01,480
Speaker 3: You know, there's certain things that hit with like almost

298
00:17:01,560 --> 00:17:06,600
Speaker 3: every chain restaurant, Like anything in an egg roll like yeah,

299
00:17:06,880 --> 00:17:09,840
Speaker 3: you know, like that's just been like fried crispy and

300
00:17:10,040 --> 00:17:15,159
Speaker 3: has various cream cheese ingredients inside is just like, come on,

301
00:17:15,520 --> 00:17:16,320
Speaker 3: that's gonna be good.

302
00:17:16,720 --> 00:17:18,240
Speaker 1: Every version of mac and cheese.

303
00:17:18,680 --> 00:17:21,640
Speaker 2: Yep, there's a reason those ships are chained up. There's

304
00:17:22,520 --> 00:17:23,040
Speaker 2: they're good.

305
00:17:23,680 --> 00:17:26,119
Speaker 3: They used to not be chain restaurants. I can tell

306
00:17:26,119 --> 00:17:26,560
Speaker 3: you that much.

307
00:17:26,960 --> 00:17:27,200
Speaker 1: I will.

308
00:17:27,400 --> 00:17:30,760
Speaker 2: I will say this and my genuinely I'm on somewhere

309
00:17:30,800 --> 00:17:34,119
Speaker 2: on social media public record. My friend Catherine, who is

310
00:17:34,160 --> 00:17:37,280
Speaker 2: like a food journalist, like an honest to god, full

311
00:17:37,359 --> 00:17:41,040
Speaker 2: ass full food journalist, did like an Instagram poll or

312
00:17:41,080 --> 00:17:43,080
Speaker 2: something one time. It was like, what's the most underrated

313
00:17:43,200 --> 00:17:47,280
Speaker 2: restaurant in Los Angeles? I replied, it is the Arby's

314
00:17:47,480 --> 00:17:49,879
Speaker 2: that is on Sunset Boulevard, by the way, rip to

315
00:17:49,960 --> 00:17:54,800
Speaker 2: that arby And she did say that one got the

316
00:17:54,960 --> 00:17:57,800
Speaker 2: most responses of people being like it actually is it

317
00:17:57,920 --> 00:18:02,440
Speaker 2: is this one and this one it's so rated, so low,

318
00:18:03,080 --> 00:18:06,240
Speaker 2: and it is fucking awesome, even if anymore.

319
00:18:06,400 --> 00:18:08,920
Speaker 1: Yeah, it used to, yeah, I used to. I used

320
00:18:08,920 --> 00:18:10,119
Speaker 1: to stop at that Arby's.

321
00:18:12,320 --> 00:18:15,520
Speaker 4: Used to stop at that Arby's and really crash out, Yeah,

322
00:18:15,880 --> 00:18:19,320
Speaker 4: really just like blackout and come and then leave with

323
00:18:20,040 --> 00:18:21,080
Speaker 4: why did I order all this?

324
00:18:21,880 --> 00:18:22,560
Speaker 3: That Arby's?

325
00:18:22,720 --> 00:18:25,160
Speaker 2: Is that you just left a general meeting in Hollywood

326
00:18:25,200 --> 00:18:27,040
Speaker 2: and it didn't go right and you're about to get

327
00:18:27,080 --> 00:18:28,119
Speaker 2: on the highway. Arby's.

328
00:18:28,320 --> 00:18:31,120
Speaker 3: Yeah, it's right next to the Netflix quarter.

329
00:18:31,320 --> 00:18:34,399
Speaker 1: Yeah, yeah, and you just said to yourself, like, you

330
00:18:34,480 --> 00:18:37,359
Speaker 1: know what fringe dips? Yeah yeah.

331
00:18:38,400 --> 00:18:41,879
Speaker 3: They had me pitch off next to a iPad I

332
00:18:42,240 --> 00:18:45,680
Speaker 3: thing like a smiley face on it, and I lost. Yeah,

333
00:18:45,920 --> 00:18:48,679
Speaker 3: the masked writer, what if we took to your premise

334
00:18:48,720 --> 00:18:49,639
Speaker 3: and gave it to this ai.

335
00:18:50,040 --> 00:18:50,720
Speaker 2: That sounds good.

336
00:18:51,119 --> 00:18:54,000
Speaker 3: That does sound good? Actually, Troy, can you give us one,

337
00:18:55,080 --> 00:18:58,160
Speaker 3: like one order from a chain restaurant that you feel

338
00:18:58,200 --> 00:19:02,480
Speaker 3: like is like underrated or like something that everybody should get?

339
00:19:03,200 --> 00:19:07,560
Speaker 1: Okay, so have you guys ever been to Texas Roadhouse?

340
00:19:08,760 --> 00:19:11,040
Speaker 3: I think is that the one with peanuts on the floor.

341
00:19:12,160 --> 00:19:12,360
Speaker 1: Yeah?

342
00:19:12,440 --> 00:19:16,040
Speaker 4: Yeah, they have a bucket of peanuts on Starting to

343
00:19:16,080 --> 00:19:19,320
Speaker 4: see the through line between this and Days of Thunder.

344
00:19:21,200 --> 00:19:21,919
Speaker 1: Is very me.

345
00:19:24,440 --> 00:19:29,600
Speaker 4: The bon in Ribbi at Texas is one of the

346
00:19:29,840 --> 00:19:33,960
Speaker 4: truly like wow, cannot lose.

347
00:19:34,040 --> 00:19:36,960
Speaker 3: Because that is it is. That's that's an ambitious order

348
00:19:37,080 --> 00:19:38,680
Speaker 3: for a chain restaurant to go with.

349
00:19:40,400 --> 00:19:44,280
Speaker 4: Yeah, it will be perfectly cooked and perfectly seasoned every

350
00:19:44,400 --> 00:19:47,760
Speaker 4: single time. And it's like twenty five dollars for a

351
00:19:47,880 --> 00:19:50,560
Speaker 4: twenty ounce bon in Ribbi. It's like easily one of

352
00:19:50,600 --> 00:19:53,040
Speaker 4: the best steak deals you can get, and they have

353
00:19:53,160 --> 00:19:56,239
Speaker 4: it everywhere, and because you're a Texas roadhouse, you get

354
00:19:56,280 --> 00:20:00,840
Speaker 4: a bucket of peanuts and those those rolls with cinnamon.

355
00:20:00,560 --> 00:20:06,359
Speaker 2: Butter people loved to Yeah, I love to roll Texas roadhouses.

356
00:20:06,760 --> 00:20:08,480
Speaker 1: Man, I'm I'm an evangelist.

357
00:20:09,560 --> 00:20:12,240
Speaker 3: You know, the way you think, the way you've reacted

358
00:20:12,320 --> 00:20:15,119
Speaker 3: to Mike me saying the place with peanuts on the

359
00:20:15,200 --> 00:20:18,280
Speaker 3: floor is leading me to believe that maybe it only

360
00:20:18,359 --> 00:20:21,320
Speaker 3: has peanuts on the floor when I'm there, like, are

361
00:20:21,359 --> 00:20:24,040
Speaker 3: you not supposed to just throw them the shell?

362
00:20:26,560 --> 00:20:29,840
Speaker 1: What I remember is like it was like kinda yeah,

363
00:20:29,840 --> 00:20:31,880
Speaker 1: I guess people probably do just throw them on the floor.

364
00:20:32,840 --> 00:20:33,040
Speaker 4: Just me.

365
00:20:33,680 --> 00:20:36,399
Speaker 2: We gotta look, we gotta look under Jack's desk right now,

366
00:20:36,480 --> 00:20:37,760
Speaker 2: because it's just show.

367
00:20:38,720 --> 00:20:42,280
Speaker 3: It looks like a hamster cage down there, just peanuts.

368
00:20:42,920 --> 00:20:45,200
Speaker 1: Yeah, I don't know that they've actually got like a

369
00:20:46,040 --> 00:20:47,040
Speaker 1: like this is fine.

370
00:20:47,400 --> 00:20:50,200
Speaker 4: Yeah, yeah, I don't think like the corporate manual is like,

371
00:20:50,359 --> 00:20:53,200
Speaker 4: so you know part of your side work is sprinkle

372
00:20:53,240 --> 00:20:54,560
Speaker 4: peanuts shells on the floor.

373
00:20:54,760 --> 00:20:58,320
Speaker 3: Sure, Yeah, yeah, I think that maybe this was It

374
00:20:58,440 --> 00:21:00,119
Speaker 3: was also the last one I went to is when

375
00:21:00,119 --> 00:21:02,320
Speaker 3: I lived in Kentucky a long time ago, so maybe

376
00:21:02,520 --> 00:21:04,119
Speaker 3: maybe that was specific to Kentucky.

377
00:21:04,160 --> 00:21:06,800
Speaker 2: I feel like you just sort of like sort of

378
00:21:06,840 --> 00:21:09,560
Speaker 2: like pig Pen from from Peanuts, you just got like

379
00:21:09,640 --> 00:21:10,919
Speaker 2: a cloud of peanut shells.

380
00:21:11,160 --> 00:21:14,320
Speaker 3: Or at all times, now that would have made sense

381
00:21:14,400 --> 00:21:16,120
Speaker 3: why that strip is called peanuts.

382
00:21:17,200 --> 00:21:18,920
Speaker 2: He got peanuts, he does have peanuts shell.

383
00:21:18,920 --> 00:21:22,639
Speaker 3: Kept waiting for our lunchline, Troy, what's something you think

384
00:21:22,720 --> 00:21:23,280
Speaker 3: is overrated?

385
00:21:23,880 --> 00:21:24,360
Speaker 1: In and out?

386
00:21:24,880 --> 00:21:30,840
Speaker 3: Okay? Oh, probably probably our most our most frequent overrated.

387
00:21:31,920 --> 00:21:36,760
Speaker 2: Really yeah, Okay, it's just rated too high. Do you

388
00:21:36,800 --> 00:21:38,720
Speaker 2: think do you think it's bad or do you think

389
00:21:38,720 --> 00:21:39,760
Speaker 2: it's just rated too high?

390
00:21:40,280 --> 00:21:42,159
Speaker 4: No, I think it's good. I just think that, you know,

391
00:21:42,320 --> 00:21:44,560
Speaker 4: like when you talked to people of California about it

392
00:21:44,640 --> 00:21:48,240
Speaker 4: and it's like, you know, yeah, cool, It's like it's

393
00:21:48,480 --> 00:21:53,200
Speaker 4: like the most fresh, most this is such a good.

394
00:21:54,960 --> 00:21:55,879
Speaker 2: Like your California.

395
00:22:01,880 --> 00:22:05,200
Speaker 1: It's still look at my skateboarding.

396
00:22:05,480 --> 00:22:08,720
Speaker 2: Yeah, your voice, your voice is giving somehow stoned but

397
00:22:08,880 --> 00:22:11,360
Speaker 2: still calling the cops on someone at the same time.

398
00:22:12,920 --> 00:22:17,240
Speaker 4: I like to I like to thread the needle. But

399
00:22:17,359 --> 00:22:19,840
Speaker 4: I think, yeah, I think it's good. I just think

400
00:22:20,080 --> 00:22:21,520
Speaker 4: it tastes like Wendy's.

401
00:22:23,240 --> 00:22:28,120
Speaker 3: It tastes like Wendy's really has like gone through its

402
00:22:28,160 --> 00:22:31,119
Speaker 3: ups and downs. There was a time when Wendy's had

403
00:22:31,200 --> 00:22:33,760
Speaker 3: fresh Yeah what was this the best?

404
00:22:34,119 --> 00:22:37,240
Speaker 2: I love Wendy's part time.

405
00:22:38,680 --> 00:22:40,959
Speaker 4: Yeah, It's like people would overseet, like, you know, I'm

406
00:22:41,000 --> 00:22:44,240
Speaker 4: from Colorado, so like people would you know, before they're

407
00:22:44,359 --> 00:22:46,840
Speaker 4: now they're area in announcing Colorado, but before that, people

408
00:22:46,880 --> 00:22:50,359
Speaker 4: would just come and like tell tale of it, you know,

409
00:22:50,520 --> 00:22:52,800
Speaker 4: like they would like comeing to you know, be like, oh,

410
00:22:52,960 --> 00:22:55,760
Speaker 4: you know, try California.

411
00:22:55,840 --> 00:22:56,440
Speaker 1: You must try.

412
00:22:56,640 --> 00:22:59,720
Speaker 4: It's it's better than anything you've ever tried in your life.

413
00:23:00,160 --> 00:23:02,000
Speaker 4: One time I drove out the first time I ever

414
00:23:02,040 --> 00:23:04,560
Speaker 4: went to California. I tried it, took a bite, and went, oh,

415
00:23:04,640 --> 00:23:05,440
Speaker 4: this is Wendy's.

416
00:23:05,640 --> 00:23:08,359
Speaker 3: People will travel to Yeah, people will go out of

417
00:23:08,359 --> 00:23:09,760
Speaker 3: their way to go to in and out. That is

418
00:23:09,840 --> 00:23:13,320
Speaker 3: definitely true. Now, is there a little bit of Colorado

419
00:23:13,960 --> 00:23:17,600
Speaker 3: protectiveness here? Because that used to be true of Cores,

420
00:23:17,680 --> 00:23:20,280
Speaker 3: which I didn't I didn't realize until the first season

421
00:23:20,400 --> 00:23:24,440
Speaker 3: of Racious Gemstones, but that was like there's this Colorado

422
00:23:24,600 --> 00:23:28,200
Speaker 3: delicacy called cors Beer and you can like only get

423
00:23:28,240 --> 00:23:30,800
Speaker 3: it in Colorado, and people would like drive to Colorado

424
00:23:30,960 --> 00:23:34,320
Speaker 3: just to get it. Oh really, Yeah, I don't know

425
00:23:34,359 --> 00:23:36,480
Speaker 3: if there's I don't know if there was something special

426
00:23:36,480 --> 00:23:38,600
Speaker 3: about original recipe, corps or something.

427
00:23:38,960 --> 00:23:44,480
Speaker 4: Like anybody in from a state that's a square, you

428
00:23:44,640 --> 00:23:51,440
Speaker 4: have an insane pride for things that are Yeah. Yeah,

429
00:23:51,520 --> 00:23:53,320
Speaker 4: Like I didn't even like beer, and I'm still like

430
00:23:53,720 --> 00:23:58,680
Speaker 4: cours That's that's a hometown thing. We got cours Field

431
00:23:59,119 --> 00:24:01,879
Speaker 4: where the Rockies don't play baseball, and.

432
00:24:02,480 --> 00:24:03,800
Speaker 3: It's older than your beer.

433
00:24:05,400 --> 00:24:09,080
Speaker 4: It's got mountains on the can. Yeah, you know, it's good.

434
00:24:10,440 --> 00:24:15,200
Speaker 4: Our city and our state is largely pivoted to craft beer.

435
00:24:15,400 --> 00:24:15,640
Speaker 1: Beer.

436
00:24:15,840 --> 00:24:16,040
Speaker 3: Yeah.

437
00:24:16,600 --> 00:24:19,000
Speaker 2: Yeah, you guys are really polar on beer. You're the

438
00:24:19,160 --> 00:24:21,800
Speaker 2: You're literally the worst and worst and the best beers

439
00:24:22,080 --> 00:24:22,879
Speaker 2: are from Colora.

440
00:24:24,080 --> 00:24:29,760
Speaker 4: It's really we've really leaned into the craft brewery situation. Yeah,

441
00:24:30,160 --> 00:24:32,480
Speaker 4: you know, as it's become like a real city.

442
00:24:33,400 --> 00:24:36,080
Speaker 3: Oh yeah, all right, let's take a quick break. We're

443
00:24:36,080 --> 00:24:38,240
Speaker 3: gonna come back. We're gonna talk about the news. I

444
00:24:38,320 --> 00:24:40,520
Speaker 3: do have to give a quick shout out. Superducer Victor

445
00:24:40,840 --> 00:24:43,440
Speaker 3: wanted us to shout up the Triple Dipper from Chili's,

446
00:24:44,080 --> 00:24:47,280
Speaker 3: which is I don't know if it's underrated, but it

447
00:24:47,440 --> 00:24:48,919
Speaker 3: is the ratings.

448
00:24:49,280 --> 00:24:52,240
Speaker 2: See the problem is Jack, you're you and I are

449
00:24:52,280 --> 00:24:55,239
Speaker 2: a bunch of fucking coastal elites. We underrate everything at

450
00:24:55,280 --> 00:24:58,479
Speaker 2: the chain restaurants. The problem, it's all way better than

451
00:24:59,160 --> 00:25:02,520
Speaker 2: we're holding up to, like Lexington, Kentucky being like, have

452
00:25:02,640 --> 00:25:04,720
Speaker 2: you guys tried Ruby Tuesdays?

453
00:25:05,760 --> 00:25:09,399
Speaker 3: Yeah? What the fuck out of here? All right, so

454
00:25:10,520 --> 00:25:12,359
Speaker 3: it is good. Let's take a quick break, will be

455
00:25:12,480 --> 00:25:28,280
Speaker 3: right back and we're back, and uh, let's talk about war.

456
00:25:31,040 --> 00:25:36,680
Speaker 3: That's what everybody that's right. Uh, it's it's fun, it's

457
00:25:36,800 --> 00:25:40,800
Speaker 3: fun content. Uh, this is just you know, it seems

458
00:25:40,840 --> 00:25:43,119
Speaker 3: like Donald Trump is desperate for a distraction from the

459
00:25:43,200 --> 00:25:49,200
Speaker 3: epsteam files and the ice schoons and the economy and

460
00:25:49,480 --> 00:25:52,840
Speaker 3: the naked corruption and like everything else that you know

461
00:25:53,240 --> 00:25:55,920
Speaker 3: is happening with the administration. So they're gonna go full

462
00:25:56,560 --> 00:25:59,000
Speaker 3: George W. Bush on on all of our asses.

463
00:25:59,520 --> 00:25:59,720
Speaker 2: Yeah.

464
00:26:00,080 --> 00:26:02,640
Speaker 3: Yeah, there's a lot of saber rattling going on. He's

465
00:26:02,800 --> 00:26:05,720
Speaker 3: claims he's negotiating a deal with Iran, but it's not

466
00:26:06,000 --> 00:26:10,879
Speaker 3: really clear what the ask is. Like they say this

467
00:26:10,960 --> 00:26:14,720
Speaker 3: is about the nuclear program. Iran has stated that they

468
00:26:14,800 --> 00:26:17,840
Speaker 3: are fine not having nukes, So it's like, okay, so

469
00:26:17,920 --> 00:26:23,040
Speaker 3: we're good, we're good here, they make up something else

470
00:26:23,320 --> 00:26:24,480
Speaker 3: that I need to get from this.

471
00:26:25,040 --> 00:26:25,679
Speaker 1: The thing that he.

472
00:26:25,800 --> 00:26:30,159
Speaker 2: Wants least is iron like cooperating, which is so what

473
00:26:30,320 --> 00:26:34,160
Speaker 2: a weird dynamic. They're just like we can just fuck

474
00:26:34,200 --> 00:26:39,000
Speaker 2: with him by going like yeah, all right, exactly, sure,

475
00:26:39,440 --> 00:26:40,639
Speaker 2: that's fine. It's all good.

476
00:26:43,040 --> 00:26:46,280
Speaker 4: Because he's the one that blew up the nuclear deal

477
00:26:46,640 --> 00:26:49,200
Speaker 4: that though bother nuclear deal, he got rid of it,

478
00:26:49,320 --> 00:26:53,600
Speaker 4: and now they're like, make a nuclear deal, right, we

479
00:26:53,720 --> 00:26:54,920
Speaker 4: want a nuclear deal.

480
00:26:55,280 --> 00:26:57,800
Speaker 1: It's all good, just like yeah. The whole thing is

481
00:26:58,000 --> 00:27:02,119
Speaker 1: just kind of like he did something and then yeah, you.

482
00:27:02,160 --> 00:27:05,680
Speaker 2: Know, but it's also like, if you're Iran, it's so

483
00:27:05,800 --> 00:27:07,880
Speaker 2: easy to be like yeah, okay, and then just don't

484
00:27:07,960 --> 00:27:10,560
Speaker 2: do it because what's he's not even gonna know, Like

485
00:27:10,640 --> 00:27:12,680
Speaker 2: it's like negotiating with like a five year old, just

486
00:27:12,720 --> 00:27:15,400
Speaker 2: like yeah whatever, just let's line in his face. Who cares,

487
00:27:15,440 --> 00:27:16,320
Speaker 2: what's he gonna do about it.

488
00:27:17,400 --> 00:27:18,960
Speaker 3: We do, of course, know that the US is not

489
00:27:19,080 --> 00:27:21,960
Speaker 3: the only one negotiating here, and that Netna who's been

490
00:27:22,480 --> 00:27:26,520
Speaker 3: talking with Trump about these talks, and they probably both

491
00:27:26,760 --> 00:27:29,720
Speaker 3: they're coming from different places, they have different endgames. Trump

492
00:27:29,760 --> 00:27:32,320
Speaker 3: seems to be fine with being like I got Iran

493
00:27:32,400 --> 00:27:35,439
Speaker 3: to stop doing the nuke and then then yah, who

494
00:27:35,520 --> 00:27:39,280
Speaker 3: would rather drag the US and the world into World

495
00:27:39,359 --> 00:27:42,560
Speaker 3: War three? Yeah? So regional World War three.

496
00:27:42,720 --> 00:27:44,480
Speaker 2: I guess they're all pretty regional.

497
00:27:45,080 --> 00:27:47,920
Speaker 3: Yeah, that's it. I always refer to World War two

498
00:27:48,000 --> 00:27:51,440
Speaker 3: as a regional conflict. But personally, that's what I'm like.

499
00:27:52,160 --> 00:27:55,440
Speaker 3: I'm cool like that. Yeah, I don't know. At this point,

500
00:27:55,760 --> 00:27:59,639
Speaker 3: might be cool to start raising Israel's two hundred plus

501
00:27:59,760 --> 00:28:04,520
Speaker 3: new No, maybe that should be something that we introduced

502
00:28:04,560 --> 00:28:08,040
Speaker 3: into the conversation since they seem to naw dog be

503
00:28:08,200 --> 00:28:10,520
Speaker 3: a little bit of loose cannony.

504
00:28:11,119 --> 00:28:15,280
Speaker 2: They're they're chill, They're the chillst and that's important to

505
00:28:15,359 --> 00:28:15,960
Speaker 2: keep in mind.

506
00:28:17,440 --> 00:28:20,639
Speaker 3: That's right, all right, Moving on to AI, which I

507
00:28:20,760 --> 00:28:25,480
Speaker 3: do just feel like I'm seeing a lot of headlines

508
00:28:25,720 --> 00:28:28,280
Speaker 3: recently that it's just like, no, guys, but for real,

509
00:28:28,359 --> 00:28:32,680
Speaker 3: this time here comes AI to for real change your world.

510
00:28:33,080 --> 00:28:34,879
Speaker 2: Do you know how fast this AI is going to

511
00:28:34,960 --> 00:28:37,360
Speaker 2: know facts from Days of Thunder? Do you know how

512
00:28:37,480 --> 00:28:40,400
Speaker 2: fast that's Troy your fucking toast.

513
00:28:40,200 --> 00:28:48,440
Speaker 3: Bro I know, John Henry finished, it does like every

514
00:28:48,480 --> 00:28:51,320
Speaker 3: time this happens, I just do need to go and

515
00:28:51,440 --> 00:28:56,080
Speaker 3: do like a couple levels deep research to be like wait,

516
00:28:56,280 --> 00:28:57,440
Speaker 3: is it actually amazing?

517
00:28:57,520 --> 00:28:57,680
Speaker 2: Now?

518
00:28:58,040 --> 00:29:02,200
Speaker 3: Does it do anything good that? Like, yeah, they still

519
00:29:02,280 --> 00:29:05,240
Speaker 3: know I'm gonna be like, oh yeah, that's like they

520
00:29:05,320 --> 00:29:07,440
Speaker 3: still have the one thing where they like figured out

521
00:29:07,560 --> 00:29:11,080
Speaker 3: the structure of the proteins protein molecules, and like.

522
00:29:11,200 --> 00:29:15,160
Speaker 2: That was if that's fine, if I may Jack, I

523
00:29:15,240 --> 00:29:17,400
Speaker 2: saw this in the notes. I will also point out, though,

524
00:29:18,400 --> 00:29:20,880
Speaker 2: they love to hold up like the one time it works,

525
00:29:21,200 --> 00:29:23,560
Speaker 2: because that's what that's what they do for video creation,

526
00:29:23,880 --> 00:29:27,400
Speaker 2: for like fucking chatbot shit. It's like, oh my god,

527
00:29:27,800 --> 00:29:30,360
Speaker 2: look at what it can do, and they don't ever

528
00:29:30,560 --> 00:29:34,280
Speaker 2: point out the nine billion other nine hundred nine nine

529
00:29:34,360 --> 00:29:37,800
Speaker 2: billion other times that it doesn't work. Yeah, so you know,

530
00:29:37,960 --> 00:29:40,400
Speaker 2: great assault on even the protein thing. It's just like

531
00:29:40,480 --> 00:29:42,200
Speaker 2: it took so many shots in the fucking dark. One

532
00:29:42,240 --> 00:29:43,520
Speaker 2: of them had to work, right.

533
00:29:43,920 --> 00:29:45,120
Speaker 1: And both like.

534
00:29:46,840 --> 00:29:50,400
Speaker 4: That that video they were everybody was sharing of the AI,

535
00:29:50,640 --> 00:29:53,560
Speaker 4: Tom Cruise and Brad Pitt like that's another one of

536
00:29:53,640 --> 00:29:54,880
Speaker 4: a building, you know, and.

537
00:29:54,920 --> 00:29:56,000
Speaker 1: It's like, yeah, that looks good.

538
00:29:56,040 --> 00:29:57,680
Speaker 4: But whenever it goes in a close up, you're like

539
00:29:57,760 --> 00:29:59,880
Speaker 4: I kind of feel like I saw this from se

540
00:30:00,480 --> 00:30:03,080
Speaker 4: this is just set. Yeah, you know, it's like that

541
00:30:03,320 --> 00:30:05,440
Speaker 4: kind of thing. I kind of feel like AI is

542
00:30:05,560 --> 00:30:10,240
Speaker 4: only really gonna it'll it'll like work to like supplement things. Yeah,

543
00:30:11,200 --> 00:30:13,840
Speaker 4: like when you just googled, yeah, got your little uh

544
00:30:14,280 --> 00:30:17,320
Speaker 4: the AI summary that you that you just got a

545
00:30:17,360 --> 00:30:19,360
Speaker 4: second ago, it'll be that, and like.

546
00:30:19,640 --> 00:30:23,840
Speaker 1: It'll work for porn. Yeah, yeah, I think those will be.

547
00:30:24,000 --> 00:30:27,880
Speaker 2: Like the two things the Tom Cruise and Brad pittsing

548
00:30:27,920 --> 00:30:30,800
Speaker 2: too was just a face replaced they they they the

549
00:30:30,920 --> 00:30:34,120
Speaker 2: Twitter people were like, oh, all you know, it was

550
00:30:34,200 --> 00:30:36,160
Speaker 2: like a blank thing. We just said, show me Tom

551
00:30:36,240 --> 00:30:38,080
Speaker 2: Cruise and Brad pit fighting. It turns out it was

552
00:30:38,160 --> 00:30:40,080
Speaker 2: like a shot video with a face replacement.

553
00:30:40,320 --> 00:30:42,880
Speaker 3: They just put their faces on someone else, I think.

554
00:30:43,680 --> 00:30:45,920
Speaker 2: But as far as I saw on like Blue Sky,

555
00:30:46,600 --> 00:30:47,440
Speaker 2: uh so, who knows.

556
00:30:47,720 --> 00:30:49,600
Speaker 3: Yeah, but we don't. We don't source things. We don't

557
00:30:49,640 --> 00:30:52,080
Speaker 3: fact check things because we hold ourselves to the same

558
00:30:52,400 --> 00:30:55,240
Speaker 3: standard as the thing we're discussing, which in this case

559
00:30:55,480 --> 00:30:58,920
Speaker 3: does not fact check anything and it is permitted to

560
00:30:59,040 --> 00:31:03,280
Speaker 3: hallucinate act. But it just yeah, as best as I

561
00:31:03,360 --> 00:31:09,160
Speaker 3: can tell, we're not seeing any anything that's cool or

562
00:31:09,280 --> 00:31:11,120
Speaker 3: like the change it like even if let's say the

563
00:31:11,400 --> 00:31:15,520
Speaker 3: Brad Pitt Tom Cruise thing is real, they just type

564
00:31:16,480 --> 00:31:20,600
Speaker 3: make Brad Pit fight Tom Cruise into a AI engine

565
00:31:21,160 --> 00:31:23,760
Speaker 3: and it makes that video, Like what does that do?

566
00:31:24,080 --> 00:31:24,600
Speaker 1: Like? Who's that?

567
00:31:25,360 --> 00:31:28,680
Speaker 3: How does that change the world? Like I still haven't

568
00:31:28,760 --> 00:31:31,920
Speaker 3: seen that thing other than using it as a tool

569
00:31:32,120 --> 00:31:37,240
Speaker 3: for like scientific research and discovery. Great, yes, please keep

570
00:31:37,320 --> 00:31:41,800
Speaker 3: doing that, but they need all this investment, and so

571
00:31:41,920 --> 00:31:44,400
Speaker 3: it's just these like broad pie in the sky things.

572
00:31:44,480 --> 00:31:47,680
Speaker 3: The thing that made me think about it was Adam Silver,

573
00:31:48,240 --> 00:31:53,360
Speaker 3: the commissioner of the NBA, who are have many problems

574
00:31:53,600 --> 00:31:57,320
Speaker 3: going on with their league and you know, owners and

575
00:31:57,640 --> 00:32:02,520
Speaker 3: players directly funding or participating in war crimes, et cetera,

576
00:32:02,560 --> 00:32:07,920
Speaker 3: et cetera. They are He like gave this state of

577
00:32:08,560 --> 00:32:11,840
Speaker 3: the League thing at All Star weekend and he said,

578
00:32:11,920 --> 00:32:14,840
Speaker 3: as I look at the world and the predictions, and

579
00:32:14,960 --> 00:32:17,600
Speaker 3: we're seeing much of it already on how AI is

580
00:32:17,720 --> 00:32:21,080
Speaker 3: changing everything about our personal lives, our business lives. For me,

581
00:32:21,600 --> 00:32:24,800
Speaker 3: there's no doubt AI will have the same impact on sports.

582
00:32:25,720 --> 00:32:31,240
Speaker 3: Oh dope. What one area in particular that I think

583
00:32:31,360 --> 00:32:34,840
Speaker 3: is worth addressing is impact on the fan experience. One

584
00:32:34,880 --> 00:32:37,239
Speaker 3: of the things we're beginning to see already is how

585
00:32:37,320 --> 00:32:41,920
Speaker 3: we're going to more than personalized, almost hyper personalize our telecasts.

586
00:32:42,680 --> 00:32:45,840
Speaker 3: That's gonna suck so bad. Yeah, that's gonna be so bad.

587
00:32:46,560 --> 00:32:50,320
Speaker 2: I think these people genuinely don't understand what a culture

588
00:32:50,520 --> 00:32:54,800
Speaker 2: is like, right, Like because these people the other thing

589
00:32:54,800 --> 00:32:56,720
Speaker 2: they bring up all the time is like, oh, you

590
00:32:56,800 --> 00:32:59,400
Speaker 2: could get it to generate an episode of Game of

591
00:32:59,480 --> 00:33:02,760
Speaker 2: Throats us for you, starring you and your boys or whatever,

592
00:33:03,000 --> 00:33:07,360
Speaker 2: And it's like, that's not television. That's like a card

593
00:33:07,520 --> 00:33:10,880
Speaker 2: for yourself. No one else wants to see that, and

594
00:33:11,000 --> 00:33:14,280
Speaker 2: then you're just in a vacuum by yourself. It's so

595
00:33:14,480 --> 00:33:16,240
Speaker 2: insane that they think people want that.

596
00:33:16,800 --> 00:33:18,880
Speaker 4: A lot of this stuff is like, oh, here's your

597
00:33:19,000 --> 00:33:22,720
Speaker 4: AI companion. Yeah, that's just sad.

598
00:33:23,120 --> 00:33:25,240
Speaker 3: Has anybody had a good experience with that? Like I

599
00:33:25,560 --> 00:33:27,880
Speaker 3: know people who have used it to be like, hey,

600
00:33:28,040 --> 00:33:32,840
Speaker 3: could you organize my computer? Like help me organize these files?

601
00:33:33,000 --> 00:33:36,640
Speaker 3: Has anyone had like a good personalized experience? Like I

602
00:33:36,720 --> 00:33:38,480
Speaker 3: feel like the way this is going to go is

603
00:33:38,560 --> 00:33:42,040
Speaker 3: you're gonna be watching an NBA game that like just

604
00:33:42,160 --> 00:33:45,920
Speaker 3: like compliments you, yeah, and is like look at that

605
00:33:46,080 --> 00:33:49,880
Speaker 3: play Jack that was amazing. Yeah, it's amazing that you're

606
00:33:49,920 --> 00:33:52,720
Speaker 3: watching this NBA game. It's amazing that you asked about

607
00:33:52,760 --> 00:33:54,960
Speaker 3: how many rebounds. I'm really smart.

608
00:33:55,080 --> 00:33:59,480
Speaker 2: Yeah, Like I think it's just a what's the definition

609
00:33:59,600 --> 00:34:01,640
Speaker 2: of good? I think there are a lot of people

610
00:34:01,760 --> 00:34:05,880
Speaker 2: that enjoy that interaction, but I think the data seems

611
00:34:05,920 --> 00:34:09,360
Speaker 2: to be showing that's not good for them or for anyone.

612
00:34:09,760 --> 00:34:13,320
Speaker 3: I think it'll be feeling good for video games, porn,

613
00:34:13,920 --> 00:34:17,040
Speaker 3: and it's like a fun thing to play with, but

614
00:34:17,560 --> 00:34:19,520
Speaker 3: that's not how it's being pitched to anyone.

615
00:34:20,320 --> 00:34:23,000
Speaker 1: I feel like it's it's it'll work well as a

616
00:34:23,160 --> 00:34:27,160
Speaker 1: tool to help you get like cut down on how

617
00:34:27,239 --> 00:34:29,319
Speaker 1: much work you have to put into stuff, and then

618
00:34:29,360 --> 00:34:32,719
Speaker 1: it'll work for things where like the actual quality is

619
00:34:32,840 --> 00:34:36,439
Speaker 1: not that important, you know, Like that's where like where

620
00:34:36,440 --> 00:34:38,600
Speaker 1: it'll be. That's why I think you're I think you're

621
00:34:38,680 --> 00:34:40,920
Speaker 1: right where it's like, okay, it'll work kind of for

622
00:34:41,080 --> 00:34:43,759
Speaker 1: video games and help them code. And then there's like

623
00:34:43,840 --> 00:34:47,880
Speaker 1: the weird like AI girlfriend porn stuff where it's like,

624
00:34:48,000 --> 00:34:50,239
Speaker 1: you know, these are guys who are buying flash lights.

625
00:34:50,280 --> 00:34:52,240
Speaker 1: They don't care if she's got six fingers.

626
00:34:56,040 --> 00:34:58,120
Speaker 2: Got to consider that six six fing.

627
00:35:00,160 --> 00:35:02,239
Speaker 4: So it's kind of like this, like I feel like

628
00:35:02,320 --> 00:35:06,080
Speaker 4: it's gotta be you know, it'll be helpful in as

629
00:35:06,160 --> 00:35:10,960
Speaker 4: a tool in stuff that requires quality control and people

630
00:35:11,080 --> 00:35:14,360
Speaker 4: can plug whatever into it and have it kick it

631
00:35:14,400 --> 00:35:16,279
Speaker 4: out for stuff that doesn't matter.

632
00:35:16,480 --> 00:35:20,919
Speaker 2: I mean, like the personality pitch. Every time the AI

633
00:35:21,080 --> 00:35:24,440
Speaker 2: bros talk, it feels to me like their pitch basically

634
00:35:24,520 --> 00:35:28,200
Speaker 2: boils down to, hey, we've all wanted to have a slave,

635
00:35:28,400 --> 00:35:31,239
Speaker 2: haven't we? And it's like, no, doc, what are you

636
00:35:31,400 --> 00:35:35,000
Speaker 2: talking about? That's genuinely how they talk, like whoa, what

637
00:35:35,080 --> 00:35:38,200
Speaker 2: do you wanted this? And it's like, oh really, man,

638
00:35:38,920 --> 00:35:39,440
Speaker 2: kind of like.

639
00:35:41,960 --> 00:35:45,120
Speaker 4: Yeah, it always, it always. Kind of it reminds me

640
00:35:45,200 --> 00:35:48,719
Speaker 4: of like the Bitcoin stuff, where it's kind of like

641
00:35:48,920 --> 00:35:52,200
Speaker 4: underlying it is kind of like this, like I can't

642
00:35:52,280 --> 00:35:56,239
Speaker 4: function in normal society to it of like, no, man,

643
00:35:56,560 --> 00:36:00,000
Speaker 4: I don't want regular actual money. I need money where

644
00:36:00,160 --> 00:36:02,800
Speaker 4: no one knows where it came from or where it's going.

645
00:36:03,400 --> 00:36:06,360
Speaker 4: I need like you know, my bank accounts have been closed?

646
00:36:06,840 --> 00:36:10,080
Speaker 2: Yeah what if? What if this dollar bill could be

647
00:36:10,280 --> 00:36:13,200
Speaker 2: worth between half and twice as much as it is

648
00:36:13,320 --> 00:36:14,680
Speaker 2: at any given second?

649
00:36:15,520 --> 00:36:15,680
Speaker 3: Like that?

650
00:36:16,239 --> 00:36:17,560
Speaker 1: Don't you see the advantage?

651
00:36:17,640 --> 00:36:21,440
Speaker 4: Man? Don't you see the advantage the government can't seize

652
00:36:21,560 --> 00:36:26,680
Speaker 4: my assets. It's like yeah, I do, but like I

653
00:36:26,800 --> 00:36:29,440
Speaker 4: got to admit, I've never really been that concerned about that.

654
00:36:29,880 --> 00:36:32,040
Speaker 3: That's weird that you're so worried about that.

655
00:36:32,239 --> 00:36:34,839
Speaker 1: Yeah, yeah, you know, it's kind of like that kind

656
00:36:34,880 --> 00:36:35,120
Speaker 1: of thing.

657
00:36:35,520 --> 00:36:37,560
Speaker 3: Yeah, just in terms of like what they're actually using

658
00:36:37,600 --> 00:36:40,279
Speaker 3: it for, because this does seem to be a thing

659
00:36:40,400 --> 00:36:42,839
Speaker 3: that Wall Street is starting to pay more and more

660
00:36:42,840 --> 00:36:46,919
Speaker 3: attention to. Is like okay, so, like what when will

661
00:36:46,960 --> 00:36:51,399
Speaker 3: there be results because they're just shoveling money into any

662
00:36:51,640 --> 00:36:56,480
Speaker 3: research and there's been a couple of studies recently. Some

663
00:36:56,560 --> 00:36:59,080
Speaker 3: people have even suggested, like this is why they're going

664
00:36:59,160 --> 00:37:01,719
Speaker 3: so hard on the to like get ready to have

665
00:37:01,920 --> 00:37:05,960
Speaker 3: your whole world fucking rocked, guys. Is because there's like

666
00:37:06,080 --> 00:37:09,719
Speaker 3: these surveys, like they just surveyed thousands of CEOs and

667
00:37:10,280 --> 00:37:14,320
Speaker 3: two thirds of executives use AI, but they use it

668
00:37:14,480 --> 00:37:17,360
Speaker 3: for an average of ninety minutes a week yea, And

669
00:37:18,040 --> 00:37:20,799
Speaker 3: like they they also are like trying. You know, there

670
00:37:20,920 --> 00:37:24,359
Speaker 3: was this initial pitch in twenty twenty three from an

671
00:37:24,440 --> 00:37:27,680
Speaker 3: AI researcher being like, this is going to increase workers

672
00:37:27,760 --> 00:37:31,520
Speaker 3: performance by nearly forty percent once it's adopted, and like,

673
00:37:32,000 --> 00:37:35,320
Speaker 3: of the people who have adopted it, they like haven't

674
00:37:35,600 --> 00:37:40,040
Speaker 3: increased productivity at all, like doesn't do the thing that

675
00:37:40,120 --> 00:37:43,360
Speaker 3: it's supposed to do. That is like the entire promise

676
00:37:43,480 --> 00:37:43,680
Speaker 3: of it.

677
00:37:44,160 --> 00:37:46,600
Speaker 2: It's changed. I think it's changed the nature of a

678
00:37:46,680 --> 00:37:48,600
Speaker 2: lot of people's jobs if they're forced to use it

679
00:37:48,640 --> 00:37:51,200
Speaker 2: because their job has now become well, now I have

680
00:37:51,360 --> 00:37:55,920
Speaker 2: to double check that this lying machine right like is

681
00:37:56,200 --> 00:37:59,239
Speaker 2: not lying as much as it could be. It's just

682
00:37:59,360 --> 00:38:01,560
Speaker 2: like its funding the same amount of time. There's no

683
00:38:01,960 --> 00:38:02,759
Speaker 2: faster way to do that.

684
00:38:03,520 --> 00:38:07,600
Speaker 1: The promise of it is definitely overrated so far.

685
00:38:07,840 --> 00:38:10,399
Speaker 4: It's kind of it always kind of feels like it's

686
00:38:10,520 --> 00:38:14,319
Speaker 4: like it's coming from people who maybe weren't who were

687
00:38:14,400 --> 00:38:17,520
Speaker 4: good at like tech and not at other stuff, and

688
00:38:17,640 --> 00:38:20,640
Speaker 4: so I want the tech to fix the other stuff,

689
00:38:20,719 --> 00:38:22,440
Speaker 4: you know, Like it's like, oh, it'll make sport. I

690
00:38:22,560 --> 00:38:25,319
Speaker 4: wasn't good at football, but it'll make football so much better.

691
00:38:25,880 --> 00:38:28,120
Speaker 4: I can't act, but I can do this then that

692
00:38:28,320 --> 00:38:31,440
Speaker 4: thing to make actors. It's always feels like it's kind

693
00:38:31,480 --> 00:38:34,000
Speaker 4: of this other other thing. I feel like as far

694
00:38:34,080 --> 00:38:37,840
Speaker 4: as like actual legitimate business, it'll help in some ways,

695
00:38:38,000 --> 00:38:40,600
Speaker 4: but I mean it's kind of part of the issue

696
00:38:40,719 --> 00:38:45,239
Speaker 4: is that you don't you're not okay with error from

697
00:38:45,320 --> 00:38:45,880
Speaker 4: the robot.

698
00:38:46,200 --> 00:38:46,319
Speaker 2: Right.

699
00:38:47,040 --> 00:38:48,879
Speaker 1: It's like if you were going to get like an.

700
00:38:48,840 --> 00:38:52,240
Speaker 4: AI travel assistant and ask it to book you flights

701
00:38:52,320 --> 00:38:54,160
Speaker 4: and like plan out and trip for you and it

702
00:38:54,360 --> 00:38:57,360
Speaker 4: messes that up. Oh you like don't you won't be

703
00:38:57,480 --> 00:39:00,080
Speaker 4: okay with that the way you'd go like, oh, have

704
00:39:00,120 --> 00:39:03,759
Speaker 4: a agent some more on right, right, Like it's like

705
00:39:03,840 --> 00:39:07,040
Speaker 4: this weird kind of thing where because it's a robot

706
00:39:07,239 --> 00:39:09,839
Speaker 4: it needs to be perfect that it can't be perfect.

707
00:39:09,640 --> 00:39:12,600
Speaker 2: Interest it's bad at It's just I feel like people

708
00:39:12,840 --> 00:39:14,319
Speaker 2: are on the I've got the opposite side.

709
00:39:14,320 --> 00:39:14,400
Speaker 1: Now.

710
00:39:14,440 --> 00:39:17,040
Speaker 2: I'm like, it's an AI. Of course it makes the stake, yeah.

711
00:39:17,719 --> 00:39:19,920
Speaker 3: Right, but they yeah, yeah, It's like at a certain

712
00:39:20,000 --> 00:39:24,720
Speaker 3: point though, Yeah, the results are going to start becoming

713
00:39:24,880 --> 00:39:28,160
Speaker 3: a problem for them. Like there's just this like really

714
00:39:28,280 --> 00:39:31,640
Speaker 3: broad learning curve that I feel like we are We're

715
00:39:31,760 --> 00:39:34,960
Speaker 3: giving them a lot of grace with the like learning

716
00:39:35,000 --> 00:39:39,279
Speaker 3: curve of the AI because they are asking us to

717
00:39:39,440 --> 00:39:41,480
Speaker 3: I guess because so much of their money.

718
00:39:41,320 --> 00:39:45,279
Speaker 2: Is that Yeah, because because the CEOs are just like

719
00:39:45,560 --> 00:39:49,080
Speaker 2: heyay true, yeah, they needed to be true. They need

720
00:39:49,160 --> 00:39:51,080
Speaker 2: to be able to lay off forty percent of the workforce,

721
00:39:51,160 --> 00:39:52,560
Speaker 2: and that's all they're Jones did for.

722
00:39:52,960 --> 00:39:55,680
Speaker 3: Yes, Yeah, to go back to the NBA. Like, I

723
00:39:55,800 --> 00:39:59,600
Speaker 3: feel like this is like when a GM can't put

724
00:39:59,640 --> 00:40:02,480
Speaker 3: a winning team together, so they just keep like they're like, oh,

725
00:40:02,560 --> 00:40:06,680
Speaker 3: we're tanking. We're like just acquiring, you know, picks for

726
00:40:06,800 --> 00:40:11,840
Speaker 3: the future and like just selling this hope. And eventually

727
00:40:11,960 --> 00:40:16,000
Speaker 3: it's just like people get tired of that. Yeah. Amazon

728
00:40:16,280 --> 00:40:19,480
Speaker 3: saw their share prices drop earlier this month. That be

729
00:40:19,719 --> 00:40:22,840
Speaker 3: after it was announced that they're spending two hundred billion

730
00:40:22,920 --> 00:40:25,640
Speaker 3: dollars on AI, and people are like, but like you

731
00:40:25,880 --> 00:40:30,080
Speaker 3: you don't have any results. Microsoft same thing because they

732
00:40:30,520 --> 00:40:35,040
Speaker 3: announced that the return on am but AI investment would

733
00:40:35,080 --> 00:40:38,879
Speaker 3: be further off than anyone expected. But like like they're

734
00:40:39,400 --> 00:40:41,800
Speaker 3: people were worried when they were spending two hundred and

735
00:40:41,800 --> 00:40:44,080
Speaker 3: fifty billion dollars in twenty twenty four. They're expected to

736
00:40:44,120 --> 00:40:46,719
Speaker 3: spend six hundred and fifty billion dollars in twenty twenty six,

737
00:40:46,920 --> 00:40:49,279
Speaker 3: so they're just ramping it up, and.

738
00:40:49,400 --> 00:40:51,560
Speaker 2: Well, it's also likely to show for it. There are

739
00:40:51,800 --> 00:40:55,320
Speaker 2: something to show for. It will create our society.

740
00:40:55,160 --> 00:40:59,319
Speaker 1: So that's right, Like this is gonna be great. You're

741
00:40:59,320 --> 00:41:00,200
Speaker 1: all going to be out of work.

742
00:41:00,360 --> 00:41:02,160
Speaker 3: Yeah, yeah, yeah, like it.

743
00:41:03,880 --> 00:41:06,600
Speaker 1: Is that it puts millions of people at work.

744
00:41:06,800 --> 00:41:09,920
Speaker 3: Yeah, Troy, to your point about this being like the

745
00:41:10,360 --> 00:41:13,520
Speaker 3: tech the tech guys being like this is gonna be great.

746
00:41:13,640 --> 00:41:16,000
Speaker 3: We just like won't ever have to interact with each other.

747
00:41:16,360 --> 00:41:21,400
Speaker 3: It reminds me of their uh solve for food when

748
00:41:21,440 --> 00:41:24,839
Speaker 3: they're like soilent. Yeah, you know how the worst thing

749
00:41:24,920 --> 00:41:28,840
Speaker 3: about getting nutrients and like getting through the day is

750
00:41:28,920 --> 00:41:33,239
Speaker 3: having to eat spend time eating delicious food. Well, we've

751
00:41:33,560 --> 00:41:37,000
Speaker 3: we've solved for that. It's like this is like, you

752
00:41:37,080 --> 00:41:39,879
Speaker 3: know how the worst part of doing anything, Like, yeah,

753
00:41:39,920 --> 00:41:42,000
Speaker 3: there's some busy work that sucks, but it's just like

754
00:41:42,120 --> 00:41:45,160
Speaker 3: they just want to streamline everything so there's no human

755
00:41:45,239 --> 00:41:46,920
Speaker 3: interaction at all in anybody's day.

756
00:41:47,520 --> 00:41:51,920
Speaker 2: So yeah, I'm still not, still not buying, but I

757
00:41:52,480 --> 00:41:57,200
Speaker 2: genuinely I have a theory that income disparity in Silicon Valley,

758
00:41:57,280 --> 00:42:00,040
Speaker 2: the barrier San Francisco specifically means that there's not I

759
00:42:00,040 --> 00:42:03,120
Speaker 2: don't know if teens on the street, these guys are

760
00:42:03,160 --> 00:42:06,000
Speaker 2: not they're dorks, And this is why we're here. If

761
00:42:06,080 --> 00:42:08,480
Speaker 2: we just need teens to tell them, these people your

762
00:42:08,520 --> 00:42:12,440
Speaker 2: fucking sociopathic nerds, their businesses would be in a better spot.

763
00:42:12,560 --> 00:42:17,000
Speaker 3: Just important me teenagers to San Francisco to the Bay Area.

764
00:42:18,120 --> 00:42:22,920
Speaker 3: This is a great pitch that Andrew. Andrew has two

765
00:42:23,320 --> 00:42:26,520
Speaker 3: goaded Hall of Fame theories. One is this and the

766
00:42:26,600 --> 00:42:31,000
Speaker 3: other is, uh, we just should never do satire. Satire

767
00:42:31,120 --> 00:42:35,399
Speaker 3: never works. We just need to never do satire ever again,

768
00:42:35,560 --> 00:42:39,000
Speaker 3: because people are just like American psycho that should be

769
00:42:39,040 --> 00:42:40,960
Speaker 3: a real guy named Clavicular.

770
00:42:41,520 --> 00:42:43,160
Speaker 2: I want to be Walter White.

771
00:42:43,560 --> 00:42:46,360
Speaker 3: Yes, exactly, let's exactly.

772
00:42:46,560 --> 00:42:48,920
Speaker 1: Uh people's heads here, Yeah.

773
00:42:48,800 --> 00:42:53,759
Speaker 3: It does, and then people just like it. Yeah, let's

774
00:42:53,760 --> 00:42:56,240
Speaker 3: take a quick break. We'll come back and talk about

775
00:42:56,960 --> 00:42:59,919
Speaker 3: Reese's cups and whether they're getting worse. We'll be ready

776
00:43:10,880 --> 00:43:14,440
Speaker 3: and we're back. Guys, we're running out of time, so

777
00:43:14,520 --> 00:43:17,880
Speaker 3: we're gonna just skip the important story about.

778
00:43:19,239 --> 00:43:21,720
Speaker 2: Hey, it's not gonna change, it's gonna be the same tomorrow.

779
00:43:21,960 --> 00:43:24,880
Speaker 3: Yeah, we'll talk about the AI schools on Monday. We

780
00:43:25,040 --> 00:43:28,040
Speaker 3: might even talk about the Olympic ski jumper getting hit

781
00:43:28,120 --> 00:43:31,319
Speaker 3: with a leaf blower on Monday, depending on how jam

782
00:43:31,440 --> 00:43:34,680
Speaker 3: packed the Olympics are with scandals over the weekend. But

783
00:43:34,800 --> 00:43:38,320
Speaker 3: we do need to cover this important story because there's

784
00:43:38,400 --> 00:43:40,760
Speaker 3: been a lot of online theories over the years alleging

785
00:43:40,800 --> 00:43:44,439
Speaker 3: that Recee's Peanut butter cups just don't taste the dang

786
00:43:44,560 --> 00:43:49,600
Speaker 3: same anymore. I've always found them to be the first

787
00:43:49,640 --> 00:43:51,359
Speaker 3: I will I will start this off by saying they're

788
00:43:51,360 --> 00:43:55,359
Speaker 3: my favorite candy. Oh okay, that's why I love them.

789
00:43:56,040 --> 00:44:00,680
Speaker 3: I also don't have never thought that, Like, so the

790
00:44:00,719 --> 00:44:02,560
Speaker 3: thing that people say is like that it tastes more

791
00:44:02,719 --> 00:44:04,600
Speaker 3: like more chemically.

792
00:44:04,719 --> 00:44:08,680
Speaker 2: Yeah, like waxy, probably right, Like that's always been the thing.

793
00:44:09,280 --> 00:44:13,360
Speaker 3: Yeah, yeah, chocolate has gotten waxy. Okay, but yeah, I agree,

794
00:44:13,440 --> 00:44:13,920
Speaker 3: I agree.

795
00:44:14,280 --> 00:44:17,040
Speaker 2: Like I don't know, man, I think you might have

796
00:44:17,440 --> 00:44:20,680
Speaker 2: these people might have slightly rose colored glasses of what

797
00:44:20,840 --> 00:44:23,600
Speaker 2: it was like to eat candy as a child because

798
00:44:23,640 --> 00:44:26,080
Speaker 2: they were shitty. Then, I promise I know.

799
00:44:26,280 --> 00:44:28,720
Speaker 3: That's the thing. Like we can say movies are getting

800
00:44:28,760 --> 00:44:31,000
Speaker 3: worse because we can go back and watch the ones

801
00:44:31,040 --> 00:44:33,080
Speaker 3: from the eighties and be like this was these were

802
00:44:33,600 --> 00:44:35,920
Speaker 3: kind of that seem to be made by people who

803
00:44:36,160 --> 00:44:40,880
Speaker 3: like movies, whereas like candy is not there, Like we

804
00:44:41,040 --> 00:44:45,080
Speaker 3: only know when they've made their product shittier. When they're like,

805
00:44:45,200 --> 00:44:47,160
Speaker 3: all right, we're gonna do an ad campaign where we

806
00:44:47,280 --> 00:44:50,399
Speaker 3: admit that our products sucked, Like Domino's did that one time,

807
00:44:50,680 --> 00:44:55,080
Speaker 3: like otherwise we're just having to kind of guess at it.

808
00:44:55,600 --> 00:45:00,960
Speaker 3: Or in this case, when one of the like heirs

809
00:45:01,080 --> 00:45:07,879
Speaker 3: to the throne, HB. Rec came out and was like, hey,

810
00:45:08,000 --> 00:45:12,520
Speaker 3: look man, I'm I'm old. I don't really give a fuck.

811
00:45:13,600 --> 00:45:17,960
Speaker 3: They're replacing real peanut butter with peanut butter flavored creams man.

812
00:45:20,400 --> 00:45:27,680
Speaker 4: Sounds like a conspiracy theory from like the Sorry I

813
00:45:27,960 --> 00:45:34,560
Speaker 4: got that wrong, that this is Brad Reese, grandson of HP.

814
00:45:36,320 --> 00:45:39,160
Speaker 3: The Mad Chemist. When I say I'm a peanutut peanut

815
00:45:39,160 --> 00:45:42,000
Speaker 3: butter cup, man, you will believe me my name is.

816
00:45:43,960 --> 00:45:46,080
Speaker 1: Sounds like a guy who died on the Titanic.

817
00:45:47,600 --> 00:45:50,080
Speaker 2: He died doing what he loved, killing other people and

818
00:45:50,320 --> 00:45:53,760
Speaker 2: combining combining peanut chocolate peanut butter chocolate.

819
00:45:53,960 --> 00:45:54,480
Speaker 3: I will say.

820
00:45:54,719 --> 00:45:56,239
Speaker 2: I don't know if this is a direct quote or

821
00:45:56,239 --> 00:45:58,920
Speaker 2: it's written down, but on the dock it says peanut

822
00:45:58,960 --> 00:46:03,239
Speaker 2: butter with peanut butter flavored crems and limbs. Yeah, you know,

823
00:46:03,440 --> 00:46:07,800
Speaker 2: cr which genuinely sounds nicer than peanut butter. I have

824
00:46:07,960 --> 00:46:09,280
Speaker 2: to say, what's a creb?

825
00:46:09,600 --> 00:46:10,759
Speaker 1: I don't know, I don't know.

826
00:46:10,800 --> 00:46:12,200
Speaker 4: I kind of want to just hang out with a

827
00:46:12,560 --> 00:46:16,239
Speaker 4: handy conspiracy theorist. Yeah, just a guy who's going like

828
00:46:16,320 --> 00:46:19,880
Speaker 4: they're replacing the peanut butter with peanut butter flavored creams.

829
00:46:20,040 --> 00:46:20,440
Speaker 1: Man, you.

830
00:46:22,440 --> 00:46:24,120
Speaker 3: Don't you get it. I mean, I.

831
00:46:25,840 --> 00:46:28,880
Speaker 2: Think the confound is give any five year old of

832
00:46:29,280 --> 00:46:32,160
Speaker 2: Reese's peanut butter cup and they are not fucking complaining.

833
00:46:32,760 --> 00:46:33,239
Speaker 3: That's true.

834
00:46:33,520 --> 00:46:36,680
Speaker 1: Yeah, But I also do think they're smaller than they were.

835
00:46:37,520 --> 00:46:41,080
Speaker 3: Definitely, that is definitely happening. It feels like we should

836
00:46:41,080 --> 00:46:43,120
Speaker 3: be able to just like look at the old packaging,

837
00:46:43,200 --> 00:46:47,040
Speaker 3: see what the ounces were, and but yeah, they're definitely

838
00:46:47,160 --> 00:46:49,600
Speaker 3: getting smaller. I mean, we covered like this was an

839
00:46:49,680 --> 00:46:53,800
Speaker 3: openly This was openly happening before Halloween this year was

840
00:46:53,920 --> 00:47:00,600
Speaker 3: because of the floundering economy, Chocolate prices head sky rocketed

841
00:47:01,040 --> 00:47:04,239
Speaker 3: and companies were openly admitting that they were lowering the

842
00:47:04,320 --> 00:47:09,200
Speaker 3: chocolate content of chocolate and just raising sugar. And they're like,

843
00:47:09,320 --> 00:47:12,600
Speaker 3: people won't complain if you just like make it more

844
00:47:12,880 --> 00:47:16,000
Speaker 3: jam packed with sugar, and it's like cheaper for us.

845
00:47:17,239 --> 00:47:20,719
Speaker 4: Like the tariffs on the cocoa or something, right, And

846
00:47:20,800 --> 00:47:22,880
Speaker 4: they were just like, okay, we'll give them more sugar.

847
00:47:23,160 --> 00:47:25,839
Speaker 2: Good old American and by sugar, you do mean good

848
00:47:25,880 --> 00:47:29,560
Speaker 2: old American cord syrup, right, probably there's no sugar.

849
00:47:29,640 --> 00:47:33,200
Speaker 4: Yeah, yeah, it's it's funny to see when corporations just

850
00:47:33,320 --> 00:47:35,239
Speaker 4: have us absolutely pegged like that.

851
00:47:35,719 --> 00:47:41,480
Speaker 3: Yeah, they're just like, yeah, they're definitely referring to us

852
00:47:41,520 --> 00:47:45,319
Speaker 3: as piggies. Yeah yeah, because they're narted up.

853
00:47:45,760 --> 00:47:49,440
Speaker 2: Their rightful counterpoint is who's gonna say ship, who's going

854
00:47:49,520 --> 00:47:51,880
Speaker 2: to do something about it? And America collective it is

855
00:47:51,960 --> 00:47:52,480
Speaker 2: like not me.

856
00:47:53,160 --> 00:47:54,239
Speaker 1: Yeah. Yeah.

857
00:47:54,239 --> 00:47:58,520
Speaker 3: We went from a model of capitalism where it's like

858
00:47:58,680 --> 00:48:01,839
Speaker 3: and you know, people will have to compete with one

859
00:48:01,880 --> 00:48:05,759
Speaker 3: another to give us the best product, and now it's

860
00:48:05,920 --> 00:48:09,239
Speaker 3: like one really powerful guy just being like what the

861
00:48:09,320 --> 00:48:11,680
Speaker 3: fuck are you gonna do about it? Pushing us in

862
00:48:11,760 --> 00:48:14,680
Speaker 3: the chest and then like giving us a feeding trough.

863
00:48:15,280 --> 00:48:18,719
Speaker 1: Yeah, what do you think of that? That eventually eat that?

864
00:48:19,239 --> 00:48:19,920
Speaker 3: Yeah, look at you.

865
00:48:23,239 --> 00:48:26,600
Speaker 2: We don't even we don't even respond. Our mouths are

866
00:48:26,640 --> 00:48:27,799
Speaker 2: too full of Troy.

867
00:48:31,080 --> 00:48:34,200
Speaker 3: All right, Well, Troy, such a pleasure having you on

868
00:48:34,600 --> 00:48:39,160
Speaker 3: the daily. Where can people find you? Follow you? Experience

869
00:48:39,239 --> 00:48:40,799
Speaker 3: your new album.

870
00:48:41,320 --> 00:48:46,719
Speaker 4: I Am at Troy Walker e s Q on Socials

871
00:48:47,000 --> 00:48:50,239
Speaker 4: and the album is called Esquire comes out uh to

872
00:48:50,680 --> 00:48:55,800
Speaker 4: uh today February on All you know, all the places

873
00:48:55,920 --> 00:49:00,799
Speaker 4: you get comedy albums iTunes, you know, all the all

874
00:49:00,840 --> 00:49:02,960
Speaker 4: the places you would if you said to yourself, I'm

875
00:49:03,000 --> 00:49:06,440
Speaker 4: gonna go listen to a comedy album, you can That's.

876
00:49:06,520 --> 00:49:09,560
Speaker 3: Where it'll be. Is there work a media you've been enjoying.

877
00:49:11,640 --> 00:49:17,960
Speaker 1: I've been really enjoying Night of the Seven Kingdoms new series.

878
00:49:18,320 --> 00:49:22,399
Speaker 3: Our usual co host was is really enjoying that as well.

879
00:49:22,800 --> 00:49:27,080
Speaker 4: It's really really it's a it's a cool take because

880
00:49:27,080 --> 00:49:29,400
Speaker 4: I didn't know what it was in the last whatever

881
00:49:29,480 --> 00:49:33,719
Speaker 4: that last game of Throne spino Off was didn't really

882
00:49:34,239 --> 00:49:37,040
Speaker 4: didn't really grab me. But this one I like because

883
00:49:37,040 --> 00:49:39,440
Speaker 4: it's there's like a lot of humor to it. It's

884
00:49:39,880 --> 00:49:43,800
Speaker 4: funnier comedy game of throats. Yeah, it's great, but it

885
00:49:43,920 --> 00:49:47,440
Speaker 4: also is it's Yeah, I'm really I'm really enjoying that.

886
00:49:47,640 --> 00:49:52,560
Speaker 4: And I've also been rewatching Southland, which you know, Southland

887
00:49:53,520 --> 00:50:00,560
Speaker 4: is the cop show, right, It was on BC and

888
00:50:00,640 --> 00:50:03,600
Speaker 4: then it like did like the first season on NBC

889
00:50:04,360 --> 00:50:07,280
Speaker 4: and first or second and then they moved to Tne.

890
00:50:07,000 --> 00:50:12,440
Speaker 3: The Kid from with the Kid from THEOC. Yeah, kid,

891
00:50:12,480 --> 00:50:13,279
Speaker 3: it's so good.

892
00:50:13,600 --> 00:50:15,680
Speaker 1: I paid it might be one of the best cop

893
00:50:15,719 --> 00:50:16,279
Speaker 1: shows ever.

894
00:50:16,640 --> 00:50:19,319
Speaker 3: Wow, how about that? This is the first time hearing

895
00:50:19,560 --> 00:50:21,440
Speaker 3: that this is something to check out.

896
00:50:23,360 --> 00:50:24,000
Speaker 1: On Netflix.

897
00:50:24,640 --> 00:50:27,600
Speaker 3: Wonderful having you, Andrew. Where can people find you? Is

898
00:50:27,600 --> 00:50:29,080
Speaker 3: their working media? You've been enjoying?

899
00:50:30,760 --> 00:50:34,560
Speaker 2: Andrew t on social media Starter trek as available at

900
00:50:34,600 --> 00:50:38,160
Speaker 2: suboptimal Pods. Really enjoying that ship. What was the piece

901
00:50:38,160 --> 00:50:41,520
Speaker 2: of media? It was the no Other Choice?

902
00:50:41,600 --> 00:50:45,000
Speaker 3: I know people have been watching it the Yeah, I

903
00:50:45,040 --> 00:50:47,719
Speaker 3: can't wait to see that. Still too expensive on the

904
00:50:48,040 --> 00:50:51,200
Speaker 3: on the rental front, it's like twenty dollars to rent.

905
00:50:51,520 --> 00:50:54,040
Speaker 2: Now, yeah, just wait, I guess it's just like on

906
00:50:54,160 --> 00:50:56,319
Speaker 2: the B side of Award seasons. I do very much

907
00:50:56,400 --> 00:50:59,800
Speaker 2: understand why the Academy was like, we already gave Paris,

908
00:51:00,000 --> 00:51:02,919
Speaker 2: already gave these people a parasite. Come on, we can't.

909
00:51:03,040 --> 00:51:05,960
Speaker 2: But yeah, I really really, I mean it's nothing new,

910
00:51:06,000 --> 00:51:07,000
Speaker 2: but I really enjoyed that movie.

911
00:51:07,480 --> 00:51:10,400
Speaker 3: Nice. All right? You can find me on Twitter at

912
00:51:10,480 --> 00:51:13,600
Speaker 3: Jack Underscore, O'Brien blue sky Jack Obe the number one

913
00:51:14,040 --> 00:51:18,160
Speaker 3: uh Instagram Jack Underscore, Oh Underscore, Brian working media I've

914
00:51:18,160 --> 00:51:21,000
Speaker 3: been enjoying. I'm gonna I'm gonna go off of no

915
00:51:21,160 --> 00:51:25,399
Speaker 3: other Choice and shout out decision to Leave the Park

916
00:51:25,440 --> 00:51:30,680
Speaker 3: cham Wik's last film, which was also really good and

917
00:51:31,440 --> 00:51:34,680
Speaker 3: I don't feel like it got some attention back then.

918
00:51:34,800 --> 00:51:38,680
Speaker 3: But in case you missed it, Park Tmwoks Decision to Leave,

919
00:51:39,200 --> 00:51:42,440
Speaker 3: you can find that. Yeah, it's good. It's like, you know,

920
00:51:42,640 --> 00:51:44,960
Speaker 3: it's the director of Old Boy. I don't know if you.

921
00:51:46,440 --> 00:51:50,439
Speaker 1: Yeah, it's the old Boy. Yeah guy.

922
00:51:50,560 --> 00:51:53,680
Speaker 3: The director of Old Boy turns out rarely misses. He's

923
00:51:53,719 --> 00:51:57,320
Speaker 3: made some fucking bangers. You can find us on Twitter

924
00:51:57,360 --> 00:51:59,560
Speaker 3: and Blue Sky at daily zeikeeys where at the Daily

925
00:51:59,640 --> 00:52:01,759
Speaker 3: Zeike on Instagram you can go to the description of

926
00:52:01,800 --> 00:52:03,680
Speaker 3: this episode wherever you're listening to it, and there at

927
00:52:03,680 --> 00:52:06,319
Speaker 3: the bottom you will find the footnotes, which is where

928
00:52:06,360 --> 00:52:08,160
Speaker 3: we link off to the information that we talked about

929
00:52:08,200 --> 00:52:10,560
Speaker 3: in today's episode. We also link off to a song

930
00:52:11,000 --> 00:52:13,600
Speaker 3: that we think you might enjoy. What Miles is out.

931
00:52:13,640 --> 00:52:17,000
Speaker 3: We like to ask super producer Justin Connor, Justin, is

932
00:52:17,080 --> 00:52:19,120
Speaker 3: there a song that you think the people might enjoy?

933
00:52:19,800 --> 00:52:20,040
Speaker 4: Yeah?

934
00:52:20,280 --> 00:52:24,239
Speaker 5: This is a fun, high energy track called Siesta by

935
00:52:24,480 --> 00:52:27,319
Speaker 5: b Serial. Miles talks about how he loves to listen

936
00:52:27,360 --> 00:52:29,279
Speaker 5: to drum and bass when he's biking to keep his

937
00:52:29,400 --> 00:52:32,279
Speaker 5: stamina up, and this song is definitely useful for that,

938
00:52:32,400 --> 00:52:34,480
Speaker 5: but you could also use this song to just chill

939
00:52:34,560 --> 00:52:37,040
Speaker 5: and go in the opposite direction because nowadays we could

940
00:52:37,040 --> 00:52:39,960
Speaker 5: all use a siesta. So this is called Siesta by

941
00:52:40,040 --> 00:52:42,960
Speaker 5: b Serial and you can find that in the footnotes footnotes.

942
00:52:43,719 --> 00:52:45,759
Speaker 3: The Daily Zeit Guys is a production of by Heart Radio.

943
00:52:45,800 --> 00:52:48,600
Speaker 3: For more podcasts from my Heart Radio, visit the iHeartRadio app,

944
00:52:48,600 --> 00:52:51,040
Speaker 3: Apple podcast, or wherever you listen to your favorite shows.

945
00:52:51,160 --> 00:52:54,480
Speaker 3: That's gonna do it for us. This week we will

946
00:52:54,560 --> 00:52:57,040
Speaker 3: be back with the Weekly Zeitch Guys. There's a bunch

947
00:52:57,040 --> 00:53:00,480
Speaker 3: of highlights from this week's episodes tomorrow and then back

948
00:53:00,520 --> 00:53:05,319
Speaker 3: on Monday morning with the Icon episode for this week,

949
00:53:05,880 --> 00:53:09,480
Speaker 3: which is Tupac. A very fun episode, so come through

950
00:53:09,560 --> 00:53:12,200
Speaker 3: to check that out on Monday morning. Otherwise, have a

951
00:53:12,239 --> 00:53:14,640
Speaker 3: great weekend. We'll talk to you'all next week. Bye.

952
00:53:16,280 --> 00:53:19,040
Speaker 2: The Daily Zeite Guys is executive produced by Catherine.

953
00:53:18,800 --> 00:53:23,320
Speaker 3: Long, co produced by Bee Wag, co produced by Victor Wright,

954
00:53:23,760 --> 00:53:24,640
Speaker 3: co written by J.

955
00:53:24,840 --> 00:53:28,480
Speaker 1: M McNabb, edited and engineered by Justin Conner.