1
00:00:01,840 --> 00:00:06,160
Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George

2
00:00:06,200 --> 00:00:10,520
Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe Getty, arm.

3
00:00:10,400 --> 00:00:17,280
Speaker 2: Strong and Getty and now he Armstrong and Getty.

4
00:00:23,960 --> 00:00:26,439
Speaker 3: A Florida convenience store manager, was arrested this week for

5
00:00:26,480 --> 00:00:29,000
Speaker 3: allegedly stealing more than three hundred thousand dollars worth of

6
00:00:29,000 --> 00:00:30,800
Speaker 3: scratch off lottery tickets.

7
00:00:30,440 --> 00:00:33,840
Speaker 4: And a scam that netted him almost five dollars.

8
00:00:35,200 --> 00:00:38,640
Speaker 2: Two and two free tickets. So we don't know what

9
00:00:38,760 --> 00:00:45,839
Speaker 2: those have. So there's some Epstein news today, one.

10
00:00:45,640 --> 00:00:52,560
Speaker 4: Of them, one of them dumb, the other one real

11
00:00:52,680 --> 00:00:56,360
Speaker 4: and phony at the same time. So the Clintons are

12
00:00:56,400 --> 00:00:59,280
Speaker 4: testifying this week. Hillary Clinton's testifying right now. We have

13
00:00:59,320 --> 00:01:00,920
Speaker 4: our opening state, and I'll hit you with in just

14
00:01:00,960 --> 00:01:07,080
Speaker 4: a second. Bill Clinton is testifying tomorrow. I'm not gonna

15
00:01:07,200 --> 00:01:08,640
Speaker 4: earn my partisan.

16
00:01:08,240 --> 00:01:10,800
Speaker 2: Stripes here in that.

17
00:01:11,480 --> 00:01:14,520
Speaker 4: I just think this is a show. This is theatrics,

18
00:01:14,600 --> 00:01:17,720
Speaker 4: just like Hillary's claiming it is. I can't stand Bill Clinton.

19
00:01:18,160 --> 00:01:20,920
Speaker 4: I really really don't like him, and I'm not exactly

20
00:01:20,920 --> 00:01:22,160
Speaker 4: sure why I've never liked him.

21
00:01:22,240 --> 00:01:23,400
Speaker 2: I didn't hate.

22
00:01:23,480 --> 00:01:27,119
Speaker 4: Barack Obama, I didn't hate who's the last guy, Joe

23
00:01:27,160 --> 00:01:29,760
Speaker 4: Biden I just, for some reason hate Bill Clinton. I

24
00:01:29,840 --> 00:01:34,560
Speaker 4: just always have interesting I just don't feel like the

25
00:01:34,640 --> 00:01:37,880
Speaker 4: kind of guy he is. I'd prefer his politics. If

26
00:01:37,920 --> 00:01:40,360
Speaker 4: we have to have a Democratic president, I'd vote for him.

27
00:01:40,560 --> 00:01:41,840
Speaker 4: I mean, if it's got to be a Democrat, I'd

28
00:01:41,920 --> 00:01:42,720
Speaker 4: vote for him next.

29
00:01:42,520 --> 00:01:46,240
Speaker 5: Election, but be a moderate Republican, kind of a conservative

30
00:01:46,319 --> 00:01:47,680
Speaker 5: Republican at this point.

31
00:01:47,800 --> 00:01:50,960
Speaker 4: No kidding AnyWho. So I'm not saying this, you know,

32
00:01:51,040 --> 00:01:53,280
Speaker 4: because I'm a fan of the Clintons. I just think

33
00:01:53,320 --> 00:01:57,040
Speaker 4: this is especially the Hillary part, which gets to her

34
00:01:57,080 --> 00:02:04,720
Speaker 4: opening statement, which she said today. And this is the

35
00:02:04,720 --> 00:02:07,560
Speaker 4: first time ever that a former president or a former

36
00:02:07,600 --> 00:02:11,360
Speaker 4: first Lady has been forced to testify under oath. As

37
00:02:11,440 --> 00:02:16,960
Speaker 4: Joe said earlier, another norm goes by the wayside. Hillary

38
00:02:17,000 --> 00:02:20,160
Speaker 4: said in her opening remarks, the committee justified it subpoena

39
00:02:20,200 --> 00:02:22,480
Speaker 4: to me based on its assumption that I have information

40
00:02:22,560 --> 00:02:26,000
Speaker 4: regarding the investigations into the criminal activities of Jeffrey Epstein

41
00:02:26,240 --> 00:02:29,680
Speaker 4: and Glene Maxwell. Let me be clear as I can,

42
00:02:29,800 --> 00:02:32,239
Speaker 4: I do not. I do not recall ever in counting

43
00:02:32,320 --> 00:02:34,840
Speaker 4: mister Epstein, I never flow in his private plane or

44
00:02:34,919 --> 00:02:37,480
Speaker 4: visited the island homes or offices. I have nothing to

45
00:02:37,520 --> 00:02:40,560
Speaker 4: add to that, there's nothing to get out of her

46
00:02:40,840 --> 00:02:45,320
Speaker 4: at all. No, it's just an attempt to embarrass her

47
00:02:46,320 --> 00:02:49,280
Speaker 4: and make her uncomfortable, and you get points for that

48
00:02:49,440 --> 00:02:51,519
Speaker 4: in the modern partisan world.

49
00:02:51,880 --> 00:02:54,440
Speaker 5: As a conservative Republican, I am embarrassed by this.

50
00:02:54,680 --> 00:02:55,840
Speaker 2: Yeah.

51
00:02:56,120 --> 00:03:00,280
Speaker 4: Now, Mark Halpin writes of the whole thing. Hillary still

52
00:03:00,320 --> 00:03:04,280
Speaker 4: has her fastball, so she'll be fine today and isn't

53
00:03:04,280 --> 00:03:06,200
Speaker 4: really going to have to answer any hard questions because

54
00:03:06,200 --> 00:03:09,880
Speaker 4: there's nothing to ask her. Bill, however, his friends, according

55
00:03:09,919 --> 00:03:12,400
Speaker 4: to Mark Alprin, and he talks to these people, according

56
00:03:12,400 --> 00:03:16,680
Speaker 4: to Bill's friends are a little less sure about Bill's fastball,

57
00:03:17,320 --> 00:03:19,200
Speaker 4: and he also will have a tougher set of questions.

58
00:03:19,200 --> 00:03:21,560
Speaker 4: I answer because he did go to the island, fly

59
00:03:21,639 --> 00:03:22,960
Speaker 4: in the plane, all that sort of stuff.

60
00:03:23,800 --> 00:03:27,040
Speaker 5: Yeah, so see how I was smiling next to attractive

61
00:03:27,080 --> 00:03:27,560
Speaker 5: young women.

62
00:03:28,160 --> 00:03:32,400
Speaker 2: It's not televised. The Clintons wanted it televised. The Republican

63
00:03:32,440 --> 00:03:35,360
Speaker 2: Committee said, no, it is being taped. When it comes out,

64
00:03:35,400 --> 00:03:37,760
Speaker 2: I do not know, but it' tillery right now and

65
00:03:38,840 --> 00:03:42,760
Speaker 2: Bill tomorrow. The big story of the day on the

66
00:03:42,800 --> 00:03:46,720
Speaker 2: whole Epstein file thing that mainstream media and left leaning media,

67
00:03:46,800 --> 00:03:51,160
Speaker 2: which is the same thing, is going with is it's

68
00:03:51,240 --> 00:03:55,960
Speaker 2: real and fake at the same time. So three million

69
00:03:56,120 --> 00:04:00,920
Speaker 2: pages of Epstein's stuff got released and those organizations are

70
00:04:00,960 --> 00:04:01,840
Speaker 2: still digging through them.

71
00:04:01,840 --> 00:04:04,440
Speaker 4: That's a lot a lot of pages. There's a lot

72
00:04:04,440 --> 00:04:07,200
Speaker 4: of crap in there, like a lot of rabbit holes

73
00:04:07,280 --> 00:04:09,880
Speaker 4: that the FBI and various investigators had to go down

74
00:04:10,240 --> 00:04:19,480
Speaker 4: because crack pots or political operatives called in tips and

75
00:04:20,480 --> 00:04:22,680
Speaker 4: they never went anywhere most of this stuff, so they

76
00:04:22,680 --> 00:04:24,920
Speaker 4: didn't investigate it. They figured out the persons of crackpotter

77
00:04:24,960 --> 00:04:27,480
Speaker 4: partisan or whatever, and we've talked about that a lot.

78
00:04:28,040 --> 00:04:29,200
Speaker 2: There is, though, like.

79
00:04:29,160 --> 00:04:33,880
Speaker 4: An index that shows what was investigated in the Epstein files.

80
00:04:34,360 --> 00:04:37,360
Speaker 4: And at one point they were investigating a woman who

81
00:04:37,440 --> 00:04:40,440
Speaker 4: was underage at the time, who claimed she had sex

82
00:04:40,480 --> 00:04:43,760
Speaker 4: with Epstein and Trump in the eighties and she was

83
00:04:43,839 --> 00:04:48,640
Speaker 4: under age. There is an index that shows that that exists.

84
00:04:49,080 --> 00:04:52,960
Speaker 4: The pages on it of the investigation don't exist, like

85
00:04:53,000 --> 00:04:54,560
Speaker 4: the pages on all this other stuff.

86
00:04:54,640 --> 00:04:56,320
Speaker 2: You go and find them and then you can you know,

87
00:04:56,360 --> 00:04:56,880
Speaker 2: and they've.

88
00:04:56,680 --> 00:04:59,120
Speaker 4: All been released, and it's led to the downfall of

89
00:04:59,200 --> 00:05:02,160
Speaker 4: Larry Summers designed from Harvard yesterday, and that guy in

90
00:05:02,200 --> 00:05:05,160
Speaker 4: England and all kinds of different people. But the pages

91
00:05:05,160 --> 00:05:09,840
Speaker 4: on Trump don't exist. They're not there, and he sure

92
00:05:10,120 --> 00:05:15,440
Speaker 4: looks like the Trump Justice Department decided not to release those.

93
00:05:16,400 --> 00:05:17,640
Speaker 2: Schrodinger's scandal.

94
00:05:18,080 --> 00:05:21,360
Speaker 4: Yeah, and I don't for a minute think he's guilty

95
00:05:21,480 --> 00:05:23,719
Speaker 4: of that. I think it was probably another one of

96
00:05:23,720 --> 00:05:28,760
Speaker 4: those either a crack pot or a partisan you know,

97
00:05:29,040 --> 00:05:31,080
Speaker 4: started that way and then the FBI looked into it

98
00:05:31,120 --> 00:05:35,640
Speaker 4: and thought there's no there. By the way, again, referring

99
00:05:35,680 --> 00:05:39,400
Speaker 4: to Mark Calburn's newsletter today, he said Joe Biden's Justice

100
00:05:39,400 --> 00:05:42,440
Speaker 4: Department would have prosecuted this if there was something there,

101
00:05:42,760 --> 00:05:43,359
Speaker 4: and they didn't.

102
00:05:43,960 --> 00:05:45,280
Speaker 2: So that's all you need to.

103
00:05:45,240 --> 00:05:48,479
Speaker 5: Know, right, And I would argue that it's not just

104
00:05:48,800 --> 00:05:51,719
Speaker 5: a question of being a crank or a partisan. You'd

105
00:05:51,760 --> 00:05:54,320
Speaker 5: have to be a partisan crank to do this. You're

106
00:05:54,320 --> 00:05:56,920
Speaker 5: going to seek out the FBI, make up a load

107
00:05:56,960 --> 00:05:58,640
Speaker 5: of crap and say I'm more than happy to come

108
00:05:58,680 --> 00:05:59,880
Speaker 5: in and tell you more about that.

109
00:06:00,400 --> 00:06:01,680
Speaker 2: That's not a good idea.

110
00:06:02,839 --> 00:06:05,000
Speaker 5: But they came out of the word worth like crazy

111
00:06:05,000 --> 00:06:07,960
Speaker 5: around this, like they have with the poor Missus Guthrie

112
00:06:08,040 --> 00:06:09,040
Speaker 5: story and the rest.

113
00:06:09,120 --> 00:06:11,520
Speaker 4: So I think that what I think happened is the

114
00:06:11,560 --> 00:06:15,039
Speaker 4: Trump Justice Department, at his bidding or maybe Pam Bondi

115
00:06:15,120 --> 00:06:17,440
Speaker 4: thought she was doing the right thing on her own.

116
00:06:18,000 --> 00:06:20,680
Speaker 2: And this might be ended up. We might end up

117
00:06:20,720 --> 00:06:21,480
Speaker 2: finding this out.

118
00:06:22,760 --> 00:06:24,520
Speaker 4: Did Trump direct them to do this or did Pam

119
00:06:24,560 --> 00:06:26,479
Speaker 4: Bondy just think it was a good idea to yank

120
00:06:26,600 --> 00:06:29,520
Speaker 4: the Trump stuff out of there, and they covered up

121
00:06:29,560 --> 00:06:32,799
Speaker 4: a non crime which doesn't look good, and it allows

122
00:06:32,920 --> 00:06:36,839
Speaker 4: the MSNBC crowd to run at the mouth for a

123
00:06:36,839 --> 00:06:38,040
Speaker 4: long long time.

124
00:06:38,440 --> 00:06:41,120
Speaker 5: And increase their viewership from one hundred people an hour

125
00:06:41,160 --> 00:06:42,200
Speaker 5: to one hundred and ten.

126
00:06:42,520 --> 00:06:44,720
Speaker 4: Let me read this text from someone who sounds like

127
00:06:44,760 --> 00:06:48,279
Speaker 4: they're a Trump supporter. The Trump administration has been handing

128
00:06:48,360 --> 00:06:51,159
Speaker 4: enemies a lot of layups with this Epstein stuff ever

129
00:06:51,200 --> 00:06:53,480
Speaker 4: since Bondi did the whole I have the files on

130
00:06:53,480 --> 00:06:56,320
Speaker 4: my desk routine. I'm starting to wonder if Trump does

131
00:06:56,360 --> 00:06:59,520
Speaker 4: have something to hide, to be honest, said Jimmy.

132
00:06:59,160 --> 00:07:00,640
Speaker 2: In Northern Utah.

133
00:07:00,720 --> 00:07:03,719
Speaker 5: You know, Jimmy, number one, your first part I think

134
00:07:03,800 --> 00:07:06,880
Speaker 5: is undeniable. They've handed them way too They've turned over

135
00:07:06,920 --> 00:07:10,880
Speaker 5: the ball too many times. That last part, I don't

136
00:07:10,920 --> 00:07:13,640
Speaker 5: agree with you, but it's a bad look.

137
00:07:13,760 --> 00:07:17,720
Speaker 2: It is a bad look. It is a really bad look.

138
00:07:18,040 --> 00:07:20,680
Speaker 2: And it just I mean It's beyond.

139
00:07:20,440 --> 00:07:23,640
Speaker 4: Handing them a layup. You're like lifting them up on

140
00:07:23,680 --> 00:07:25,520
Speaker 4: your shoulders so they can put the ball in the.

141
00:07:25,440 --> 00:07:29,280
Speaker 5: Little or just shooting it in your own hoop yourself. Yeah,

142
00:07:29,520 --> 00:07:30,280
Speaker 5: an own goal.

143
00:07:30,400 --> 00:07:35,040
Speaker 2: As they say in the soccer don't yank you call

144
00:07:35,080 --> 00:07:35,720
Speaker 2: it football.

145
00:07:35,920 --> 00:07:39,320
Speaker 4: Don't yank the Trump stuff out of the Epstein file.

146
00:07:41,680 --> 00:07:44,520
Speaker 4: And this is I don't think there's any way to

147
00:07:45,040 --> 00:07:48,800
Speaker 4: claim that this isn't true since there is an index

148
00:07:48,840 --> 00:07:50,960
Speaker 4: of all the investigations.

149
00:07:50,160 --> 00:07:51,760
Speaker 2: There right right.

150
00:07:52,440 --> 00:07:54,720
Speaker 5: I have plenty of problems with Donald Jay, as I've

151
00:07:54,760 --> 00:07:57,960
Speaker 5: made clear, but at this point he's got to be thinking,

152
00:07:58,040 --> 00:08:02,600
Speaker 5: oh my god, term one NonStop Russia Gate. Now it's

153
00:08:02,840 --> 00:08:03,880
Speaker 5: freaking Epstein.

154
00:08:03,960 --> 00:08:07,480
Speaker 2: What will it be a third term? Who knows well

155
00:08:07,600 --> 00:08:11,960
Speaker 2: played sir wild Plade. He did say it was at

156
00:08:11,960 --> 00:08:12,960
Speaker 2: the City of the Union.

157
00:08:13,040 --> 00:08:15,080
Speaker 5: Doesn't didn't need that, he said in my second term,

158
00:08:15,120 --> 00:08:16,000
Speaker 5: should be my third.

159
00:08:16,280 --> 00:08:19,280
Speaker 2: Yeah.

160
00:08:19,360 --> 00:08:22,840
Speaker 5: He is a remarkably good troll, I mean, world class troll.

161
00:08:24,160 --> 00:08:28,120
Speaker 4: Oh boy, Bill will have to answer a lot of

162
00:08:29,760 --> 00:08:31,760
Speaker 4: He's going to be asked endlessly about riding on the

163
00:08:31,800 --> 00:08:35,160
Speaker 4: plane and going to the island. People are going to

164
00:08:35,200 --> 00:08:36,160
Speaker 4: bring up Monica.

165
00:08:37,280 --> 00:08:41,280
Speaker 5: You do have a history of pursuing young women. Do

166
00:08:41,360 --> 00:08:43,720
Speaker 5: I need to remind you about miss Lewinsky and that

167
00:08:44,200 --> 00:08:45,760
Speaker 5: sordid affair, sir.

168
00:08:46,400 --> 00:08:48,280
Speaker 2: In which you and then lay it all out again.

169
00:08:48,800 --> 00:08:53,280
Speaker 5: I never touched that woman, miss Lewinsky, right, never had

170
00:08:53,360 --> 00:08:55,840
Speaker 5: sex with that woman, miss Lewinsky.

171
00:08:56,720 --> 00:08:58,480
Speaker 2: Anybody to lie, not once?

172
00:08:59,200 --> 00:09:02,080
Speaker 5: Right, Right, that's one of the great There was absolutely

173
00:09:02,240 --> 00:09:05,040
Speaker 5: zero chants that my wife, you know, took the reins

174
00:09:05,080 --> 00:09:07,920
Speaker 5: and assassinated the character of a young woman who spoke

175
00:09:08,000 --> 00:09:10,680
Speaker 5: the truth one hundred percent of the time out of sheer,

176
00:09:10,800 --> 00:09:13,040
Speaker 5: you know, vicious political protectiveness.

177
00:09:13,160 --> 00:09:14,079
Speaker 2: None of that happened.

178
00:09:14,320 --> 00:09:16,120
Speaker 4: So we didn't do this story yesterday when it happened

179
00:09:16,160 --> 00:09:19,040
Speaker 4: and made the news everywhere. That Larry Summers, who had

180
00:09:19,080 --> 00:09:22,560
Speaker 4: been involved with Harvard for fifty years, first as a

181
00:09:22,600 --> 00:09:26,560
Speaker 4: graduate student, then a teacher at various levels, president of

182
00:09:26,559 --> 00:09:28,800
Speaker 4: the university till he was run out by the woke

183
00:09:28,960 --> 00:09:32,840
Speaker 4: crowd many many years ago, then as a professor for

184
00:09:33,080 --> 00:09:36,319
Speaker 4: ever since. And they I guess he was under enough

185
00:09:36,320 --> 00:09:40,200
Speaker 4: pressure from students or whoever faculty he quit. He's no

186
00:09:40,280 --> 00:09:43,240
Speaker 4: longer with Harvard at all. And all he did was

187
00:09:44,120 --> 00:09:47,080
Speaker 4: I don't think this is cool, but he wanted to

188
00:09:47,160 --> 00:09:49,280
Speaker 4: hit on a young woman, and he asked some friend

189
00:09:49,320 --> 00:09:51,440
Speaker 4: of his, who's the kind of guy that would know

190
00:09:51,760 --> 00:09:52,360
Speaker 4: what would be the.

191
00:09:52,280 --> 00:09:56,760
Speaker 2: Best way to go about it? Right horizontally said not

192
00:09:56,840 --> 00:09:59,240
Speaker 2: a crime. It ain't cool. I absolutely not cool, But

193
00:09:59,240 --> 00:09:59,719
Speaker 2: it's not a crime.

194
00:10:00,080 --> 00:10:02,760
Speaker 4: Would never known it if they hadn't released all this

195
00:10:02,840 --> 00:10:07,520
Speaker 4: stuff from a investigation, that all these investigations that didn't

196
00:10:07,520 --> 00:10:08,600
Speaker 4: turn into anything.

197
00:10:08,800 --> 00:10:10,600
Speaker 5: And from the Department of We shouldn't know this, but

198
00:10:10,600 --> 00:10:12,480
Speaker 5: it's interesting as hell. The Wall Street Journal with a

199
00:10:12,520 --> 00:10:16,480
Speaker 5: great piece today about how Jeffrey Epstein wormed his way

200
00:10:16,520 --> 00:10:21,240
Speaker 5: into academia. Speaking of mister Summers, he would make rather

201
00:10:21,320 --> 00:10:26,439
Speaker 5: impressive donations to here's a.

202
00:10:25,400 --> 00:10:27,800
Speaker 2: Nobel laureate Columbia professor.

203
00:10:27,880 --> 00:10:31,000
Speaker 5: I can't remember. I think he's a in economics or

204
00:10:31,040 --> 00:10:31,720
Speaker 5: something like that.

205
00:10:31,880 --> 00:10:33,920
Speaker 4: Well, we know what the Columbia one was, because he

206
00:10:33,960 --> 00:10:37,040
Speaker 4: was getting his girlfriend into the dental program or something

207
00:10:37,080 --> 00:10:38,160
Speaker 4: and they didn't accept her.

208
00:10:39,080 --> 00:10:44,680
Speaker 5: Yeah, yeah, but Gnoam Chomsky, physicist Stephen Hawking, for god's sake,

209
00:10:44,920 --> 00:10:47,680
Speaker 5: there's a long list that they found out and he

210
00:10:47,920 --> 00:10:50,480
Speaker 5: used that he never got a college degree. Epstein, but

211
00:10:50,520 --> 00:10:54,000
Speaker 5: he was a very bright guy and he loved being

212
00:10:54,080 --> 00:10:57,360
Speaker 5: looked at as both a patron of the sciences and

213
00:10:57,559 --> 00:11:02,640
Speaker 5: being treated as a serious, vweight intellectual. And so you

214
00:11:02,679 --> 00:11:05,240
Speaker 5: know people who think this is primarily some sort of

215
00:11:05,720 --> 00:11:07,880
Speaker 5: you know, baby eating sex cult. I hope you get

216
00:11:07,880 --> 00:11:13,240
Speaker 5: the help you need seriously. And I think people think

217
00:11:13,360 --> 00:11:16,720
Speaker 5: the sex with the young women was at the center

218
00:11:16,800 --> 00:11:17,000
Speaker 5: of this.

219
00:11:17,160 --> 00:11:17,640
Speaker 2: It's not.

220
00:11:18,559 --> 00:11:22,400
Speaker 5: This is the rich and entitled paving each other's way

221
00:11:22,440 --> 00:11:25,560
Speaker 5: and doing each other favors and covering up each other's sins.

222
00:11:26,080 --> 00:11:31,720
Speaker 5: And academia absolutely embraced this, shocking because he had an

223
00:11:31,760 --> 00:11:32,760
Speaker 5: open check book.

224
00:11:34,640 --> 00:11:36,720
Speaker 4: And then when you eat one of your one of

225
00:11:36,760 --> 00:11:40,360
Speaker 4: your crowd gets caught, you run him out of Harvard,

226
00:11:40,520 --> 00:11:43,120
Speaker 4: acting like you won't stand for this sort of thing.

227
00:11:43,920 --> 00:11:49,360
Speaker 5: Right, yeah, oh my, oh my, consorting with unsavory individuals

228
00:11:49,360 --> 00:11:50,160
Speaker 5: with big fat.

229
00:11:50,040 --> 00:11:53,280
Speaker 2: Check books at Harvard. I'm shocked, I tell you shocked.

230
00:11:55,600 --> 00:11:59,239
Speaker 5: One of the Justice Department documents in the Epstein investigation

231
00:11:59,440 --> 00:12:04,160
Speaker 5: was titled List of Scientists, with about thirty names of

232
00:12:04,559 --> 00:12:09,280
Speaker 5: heavyweight scientists and academics who were in the Epstein circles.

233
00:12:09,280 --> 00:12:10,400
Speaker 2: Because he loved it for his ego.

234
00:12:10,559 --> 00:12:13,040
Speaker 5: He walked around the Harvard sweatshirt all the time, hung

235
00:12:13,080 --> 00:12:15,640
Speaker 5: out on campus, and was more than welcome there.

236
00:12:16,200 --> 00:12:19,800
Speaker 4: Uh shaye Luk's awful young that's my Stephen Hawking at

237
00:12:19,800 --> 00:12:21,360
Speaker 4: the Island impersonation.

238
00:12:21,320 --> 00:12:23,640
Speaker 2: Both distasteful and poorly wrought.

239
00:12:24,880 --> 00:12:27,040
Speaker 4: Terrible lost on every level.

240
00:12:29,360 --> 00:12:30,840
Speaker 2: We've got more on the way. Stay here.

241
00:12:34,679 --> 00:12:36,319
Speaker 3: The Rock and Roll Hall of Fame out with its

242
00:12:36,360 --> 00:12:39,880
Speaker 3: list of nominees. Phil Collins nominated. So many hits, of course,

243
00:12:39,920 --> 00:12:42,880
Speaker 3: including in the Air tonight, other first time nominee Shakira,

244
00:12:43,000 --> 00:12:46,560
Speaker 3: Melissa Etheridge, Pink in Excess and the late Luther Vandross

245
00:12:46,679 --> 00:12:49,840
Speaker 3: Course shut A also nominated, and ductees will be revealed

246
00:12:49,960 --> 00:12:50,600
Speaker 3: in April.

247
00:12:51,360 --> 00:12:53,360
Speaker 4: Okay, that list went by so fast I could hardly

248
00:12:53,360 --> 00:12:58,920
Speaker 4: grasp it all. Phil Collins there, and Pink the headliners.

249
00:13:00,320 --> 00:13:01,800
Speaker 2: This is a talented young guy.

250
00:13:01,800 --> 00:13:03,640
Speaker 4: I saw first of all. I was listening to Phil

251
00:13:03,679 --> 00:13:07,880
Speaker 4: Collins last night. Very weird coincidence because I hadn't heard this.

252
00:13:08,280 --> 00:13:12,280
Speaker 4: I rarely listened to Phil coins but take Me Home.

253
00:13:13,120 --> 00:13:14,640
Speaker 2: I didn't like that song when it was first Home,

254
00:13:14,679 --> 00:13:16,760
Speaker 2: but I was listening to last night. That's a cool song.

255
00:13:17,200 --> 00:13:18,679
Speaker 2: That's a good song. Yeah. AnyWho.

256
00:13:19,280 --> 00:13:22,000
Speaker 4: Somebody had a video of Phil Collins from a concert

257
00:13:22,040 --> 00:13:27,400
Speaker 4: in like the eighties or nineties. The caption was if

258
00:13:27,440 --> 00:13:29,440
Speaker 4: you went to see a rock star dressed as your

259
00:13:29,480 --> 00:13:33,199
Speaker 4: fifth grade math teacher, he looked, he looked, you know,

260
00:13:33,280 --> 00:13:35,360
Speaker 4: with his haircut and his clothes and everything like that.

261
00:13:35,400 --> 00:13:38,240
Speaker 2: It's like, what, you're a rock star? Yeah?

262
00:13:38,440 --> 00:13:42,520
Speaker 5: Yeah, So the Rock and Roll Hall of Fame, which

263
00:13:42,559 --> 00:13:45,720
Speaker 5: is a pop music tourist trap, that's fine. It's mildly amusing.

264
00:13:45,760 --> 00:13:48,440
Speaker 5: If you're in Cleveland, go there. I used to rail

265
00:13:48,480 --> 00:13:50,480
Speaker 5: about it. I can't even be bothered anymore.

266
00:13:51,520 --> 00:13:51,920
Speaker 2: I had an.

267
00:13:51,920 --> 00:13:54,880
Speaker 5: Experienced last night that I thought was interesting. I've I

268
00:13:54,880 --> 00:14:00,160
Speaker 5: got turned onto a new band and the topic sentence here,

269
00:14:00,240 --> 00:14:03,080
Speaker 5: I've buried the lead. You can do whatever you want.

270
00:14:03,160 --> 00:14:05,240
Speaker 5: I don't care. That's one of the great parts of

271
00:14:05,280 --> 00:14:08,240
Speaker 5: being me. I'm not offended that people like things I don't.

272
00:14:08,280 --> 00:14:14,720
Speaker 5: I don't care, ladies and gentlemen. The album, the collection

273
00:14:15,080 --> 00:14:21,880
Speaker 5: of songs is abandoned at your risk. And it's another

274
00:14:22,160 --> 00:14:24,800
Speaker 5: art form. And if you'd prefer just mixes or whatever,

275
00:14:24,960 --> 00:14:28,120
Speaker 5: that's fine. Again, I couldn't give a crap, but I

276
00:14:28,160 --> 00:14:31,120
Speaker 5: want to remind everybody how great an experienced listening to

277
00:14:31,160 --> 00:14:34,360
Speaker 5: a good album can be. And I discovered a band

278
00:14:34,360 --> 00:14:37,360
Speaker 5: that I didn't know. They had the theme song of

279
00:14:37,400 --> 00:14:42,640
Speaker 5: one of your viral Prestige Binge streaming shows was from

280
00:14:42,640 --> 00:14:44,280
Speaker 5: the band, and I thought, you know, I like that song.

281
00:14:44,280 --> 00:14:47,920
Speaker 5: I got to dig into them, and that song is

282
00:14:49,440 --> 00:14:53,360
Speaker 5: it's kind of hip hoppy but rock hip hop, an

283
00:14:53,400 --> 00:14:56,600
Speaker 5: Irish guy, and it's cocky.

284
00:14:57,120 --> 00:14:59,359
Speaker 2: It's funny, it's.

285
00:14:59,560 --> 00:15:02,840
Speaker 5: Like really forward, but it's got some weird, like melancholy

286
00:15:02,960 --> 00:15:05,160
Speaker 5: notes to it. But I thought, okay, it's cocky and

287
00:15:05,200 --> 00:15:08,440
Speaker 5: forward melancholy. That's the second song on the album. I

288
00:15:08,480 --> 00:15:12,040
Speaker 5: listened to the album. The first song is very moody

289
00:15:12,240 --> 00:15:17,960
Speaker 5: and melancholy and almost ominous, and the second song is

290
00:15:18,040 --> 00:15:21,840
Speaker 5: like a guy struggling to get out of that but

291
00:15:22,000 --> 00:15:25,960
Speaker 5: not succeeding. And then the third song comes along and

292
00:15:25,960 --> 00:15:30,880
Speaker 5: it's kind of different, but as art, it completely changed

293
00:15:30,920 --> 00:15:33,880
Speaker 5: what that second song is for me, and I thought,

294
00:15:34,360 --> 00:15:35,520
Speaker 5: that's what albums are about.

295
00:15:35,680 --> 00:15:38,600
Speaker 4: Yeah, I hate that it's gone away. It might just

296
00:15:38,640 --> 00:15:41,000
Speaker 4: be an old person thing that we will anybody will

297
00:15:41,000 --> 00:15:43,720
Speaker 4: even remember that as a concept. But like, I'm super

298
00:15:43,720 --> 00:15:47,520
Speaker 4: into the Oliviadan album. She won Best New Artist Grammy

299
00:15:48,040 --> 00:15:49,920
Speaker 4: the other night, and her album and the whole thing

300
00:15:50,000 --> 00:15:52,280
Speaker 4: it's falling in love and getting over your last one

301
00:15:52,320 --> 00:15:55,160
Speaker 4: and it's just they all fit together as an album,

302
00:15:55,640 --> 00:15:58,440
Speaker 4: like really really well, and just like you were talking.

303
00:15:58,200 --> 00:16:02,000
Speaker 5: About, Yeah that is, and one song shades another.

304
00:16:02,640 --> 00:16:04,960
Speaker 2: Yeah, absolutely they do. And they're in in order for

305
00:16:05,080 --> 00:16:06,880
Speaker 2: a reason. Right.

306
00:16:07,000 --> 00:16:10,440
Speaker 5: Oh yeah, track order is incredibly important. I learned putting

307
00:16:10,480 --> 00:16:11,080
Speaker 5: together album.

308
00:16:11,240 --> 00:16:14,400
Speaker 2: So that list that they just had there was Phil Collins.

309
00:16:14,640 --> 00:16:16,720
Speaker 2: Can I hear that again? We went by too fast

310
00:16:16,760 --> 00:16:17,000
Speaker 2: for me.

311
00:16:18,000 --> 00:16:19,640
Speaker 3: The Rock and Roll Hall of Fame out with its

312
00:16:19,720 --> 00:16:23,240
Speaker 3: list of nominees. Phil Collins nominated so many hits, of course,

313
00:16:23,240 --> 00:16:26,240
Speaker 3: including in the Air Tonight, the other first time nominee Shakira,

314
00:16:26,320 --> 00:16:29,880
Speaker 3: Melissa Etheridge, Pink at Excess, and the late Luther Vandross.

315
00:16:29,960 --> 00:16:32,640
Speaker 3: Of course shut A also nominated, and ductees will be

316
00:16:32,720 --> 00:16:33,920
Speaker 3: revealed in April.

317
00:16:34,400 --> 00:16:37,920
Speaker 4: Melissa Ethridge in Excess is a rock and Roll Hall

318
00:16:37,920 --> 00:16:38,480
Speaker 4: of Fame band.

319
00:16:38,600 --> 00:16:41,680
Speaker 5: Interesting well, David Muir is always using the same tone

320
00:16:41,680 --> 00:16:43,240
Speaker 5: of voice to announce the Rock and Roll Hall of

321
00:16:43,320 --> 00:16:45,360
Speaker 5: Fame as he does to announce a million people have

322
00:16:45,440 --> 00:16:50,040
Speaker 5: died in a lion slide, which is my favorite aspect

323
00:16:50,040 --> 00:16:50,200
Speaker 5: of his.

324
00:16:50,720 --> 00:16:52,440
Speaker 2: I think Katie pointed that out.

325
00:16:52,720 --> 00:16:57,000
Speaker 4: Yes he does. He's got one tone. Whether he's discussing

326
00:16:57,120 --> 00:16:59,000
Speaker 4: Luther Vandros or war with Iran.

327
00:16:59,120 --> 00:16:59,800
Speaker 2: It's the same.

328
00:17:00,800 --> 00:17:04,639
Speaker 5: A children's hospital burned down today and Luther Van Tross

329
00:17:04,680 --> 00:17:06,960
Speaker 5: has been nominated for the Rock and Roll Hall of Fame.

330
00:17:10,119 --> 00:17:13,959
Speaker 2: Hey, David, get some different tones. Okay, we got more

331
00:17:14,000 --> 00:17:18,879
Speaker 2: on the way. Stay with us, Armstrong and Getty.

332
00:17:20,800 --> 00:17:22,600
Speaker 4: I know we're gonna talk a little bit about AI

333
00:17:22,760 --> 00:17:27,160
Speaker 4: at some point. But that Nvidia report yesterday ninety four

334
00:17:27,200 --> 00:17:30,520
Speaker 4: percent increase in profit record sales for the fourth quarter,

335
00:17:31,200 --> 00:17:34,760
Speaker 4: no Wall Street Journal saying easing concerns over a possible

336
00:17:34,920 --> 00:17:37,359
Speaker 4: intelligence bubble AI bubble.

337
00:17:38,760 --> 00:17:44,240
Speaker 2: Huge. Why didn't I biden video? A year ago? I

338
00:17:44,320 --> 00:17:46,600
Speaker 2: was saying, why didn't I biden video? And I should

339
00:17:46,600 --> 00:17:50,439
Speaker 2: have bought it? Then? Of course, it's all about when

340
00:17:50,480 --> 00:17:51,120
Speaker 2: you get out too.

341
00:17:51,880 --> 00:17:55,920
Speaker 4: Oh no, what have I gotten out? Well?

342
00:17:55,960 --> 00:18:00,600
Speaker 5: And the whole you know, their profits calmed fears of

343
00:18:00,640 --> 00:18:01,080
Speaker 5: blah blah.

344
00:18:01,160 --> 00:18:02,040
Speaker 2: It's a roller coaster.

345
00:18:02,080 --> 00:18:03,440
Speaker 5: It's going to go up and down, up and down,

346
00:18:03,480 --> 00:18:06,280
Speaker 5: up and down until the robots come and harvest our organs.

347
00:18:07,280 --> 00:18:10,480
Speaker 5: Speaking of AI, A couple of really interesting AI stories

348
00:18:10,520 --> 00:18:11,880
Speaker 5: coming up in a moment or two. But I wanted

349
00:18:11,880 --> 00:18:14,040
Speaker 5: to get a little more information only for you all,

350
00:18:14,119 --> 00:18:17,639
Speaker 5: but us all about this shootout in Cuba hit US

351
00:18:17,640 --> 00:18:18,560
Speaker 5: with seventy michael.

352
00:18:18,760 --> 00:18:22,080
Speaker 1: A deadly gun battle off the coast of Cuba, four

353
00:18:22,119 --> 00:18:26,360
Speaker 1: people killed a board of Florida registered speedboat, six more wounded,

354
00:18:26,640 --> 00:18:31,359
Speaker 1: Cuban officials claiming that speedboat violated its territorial waters. Cuban

355
00:18:31,400 --> 00:18:34,120
Speaker 1: border guards in a patrol boat claiming that as they

356
00:18:34,160 --> 00:18:37,359
Speaker 1: approached to identify who was on board, the crew of

357
00:18:37,400 --> 00:18:41,119
Speaker 1: the speedboat opened fire, wounding the Cuban commander.

358
00:18:41,440 --> 00:18:43,760
Speaker 2: Those Cuban troops then returning fire.

359
00:18:44,960 --> 00:18:48,399
Speaker 5: And here's the retired Colonel Steve Ginyard commenting on what

360
00:18:48,560 --> 00:18:50,440
Speaker 5: may have been going on for decades.

361
00:18:50,480 --> 00:18:53,760
Speaker 3: There's been a very lucrative business using high speed boats

362
00:18:54,000 --> 00:18:57,000
Speaker 3: to pull Cuban citizens out of Cuba and get them

363
00:18:57,040 --> 00:18:57,760
Speaker 3: to Florida.

364
00:18:57,840 --> 00:19:01,879
Speaker 2: That may be what we're seeing here. Yeah. Interesting.

365
00:19:02,000 --> 00:19:04,160
Speaker 4: So how big a deal is this as an international

366
00:19:04,200 --> 00:19:11,879
Speaker 4: crisis if it turns out Cuba's military fired on an

367
00:19:11,920 --> 00:19:14,840
Speaker 4: American boat trying to rescue people from Cuba.

368
00:19:15,680 --> 00:19:18,000
Speaker 2: Not much, Not much, I don't think so.

369
00:19:18,160 --> 00:19:21,240
Speaker 5: No, it's been going on for decades, like he said,

370
00:19:21,320 --> 00:19:27,120
Speaker 5: And you know it's guys, adventurers, guys who are willing

371
00:19:27,160 --> 00:19:29,000
Speaker 5: to take on the danger and return for the pay

372
00:19:29,440 --> 00:19:32,360
Speaker 5: and the Cuban regime is so weak they're teetering anyway.

373
00:19:32,600 --> 00:19:35,040
Speaker 4: It's almost exactly out of to have and have not

374
00:19:35,160 --> 00:19:39,480
Speaker 4: the earnest Hemingway story, only he was running booze mostly

375
00:19:39,560 --> 00:19:42,000
Speaker 4: instead of Cubans.

376
00:19:43,040 --> 00:19:45,280
Speaker 2: Yeah, man, I haven't read Hemingway in years. I should.

377
00:19:45,400 --> 00:19:46,320
Speaker 2: It's good stuff.

378
00:19:47,119 --> 00:19:50,840
Speaker 5: So a couple of one more apropos, nothing notes good

379
00:19:50,880 --> 00:19:53,800
Speaker 5: for Matt Tayebi, who wrote a great piece on his

380
00:19:53,880 --> 00:19:58,720
Speaker 5: substack entitled The New York Times makes Sports miserable. People

381
00:19:58,800 --> 00:20:00,840
Speaker 5: love sports because it's in a which is why we

382
00:20:00,840 --> 00:20:04,240
Speaker 5: don't force athletes to choose size sides. And he's talking

383
00:20:04,240 --> 00:20:08,359
Speaker 5: about the New York Times absolutely shameless miserable coverage of

384
00:20:08,400 --> 00:20:13,560
Speaker 5: the hockey team, the US hockey team. They fact checked

385
00:20:13,880 --> 00:20:17,159
Speaker 5: Trump's claim that Connor Hellebuck stopped forty six shots on

386
00:20:17,240 --> 00:20:19,000
Speaker 5: gold it was actually forty one.

387
00:20:19,240 --> 00:20:21,640
Speaker 2: Oh my god. And then they.

388
00:20:21,600 --> 00:20:27,040
Speaker 5: Published that miserable piece of steaming s by Jerry Brewer.

389
00:20:27,760 --> 00:20:29,920
Speaker 5: For a few hours on Sunday afternoon, the nation blah

390
00:20:29,960 --> 00:20:33,600
Speaker 5: blah blah. The US Menzolak Olympic hockey team won gold,

391
00:20:33,840 --> 00:20:35,920
Speaker 5: then lost the room.

392
00:20:36,240 --> 00:20:37,240
Speaker 2: Yeah, I liked.

393
00:20:37,880 --> 00:20:41,280
Speaker 4: So we talked about the video from Jack Hughes last

394
00:20:41,359 --> 00:20:44,359
Speaker 4: night getting back to his NHL team and going out

395
00:20:44,359 --> 00:20:46,200
Speaker 4: onto the ice, everybody cheering, and then him going over

396
00:20:46,240 --> 00:20:48,439
Speaker 4: and getting one of his teammates from the Olympic hockey

397
00:20:48,440 --> 00:20:52,000
Speaker 4: team who was on the opposing team in the NHL,

398
00:20:52,080 --> 00:20:54,879
Speaker 4: but brought him out on the ice, crowd going wild,

399
00:20:55,400 --> 00:20:59,320
Speaker 4: and as Charles C. W. Cook said, I guess they

400
00:20:59,400 --> 00:21:03,560
Speaker 4: didn't lose the room as you watched an entire arena

401
00:21:03,760 --> 00:21:10,280
Speaker 4: cheer like crazy for these guys. Yeah, yeah, How twisted

402
00:21:10,440 --> 00:21:13,800
Speaker 4: are you that you turn the Olympic men's hockey team

403
00:21:14,200 --> 00:21:18,359
Speaker 4: winning into a Trump derangement syndrome thing?

404
00:21:18,880 --> 00:21:20,560
Speaker 2: What is wrong with you people?

405
00:21:21,040 --> 00:21:24,800
Speaker 5: Right to quote Taibi, he takes a couple of shots

406
00:21:24,800 --> 00:21:27,840
Speaker 5: of the guy and how he says that the hockey

407
00:21:27,840 --> 00:21:30,400
Speaker 5: players should be aware of the polls of lowse low

408
00:21:30,480 --> 00:21:34,119
Speaker 5: approval ratio. Yeah, Matt says, hockey players are supposed to

409
00:21:34,119 --> 00:21:37,840
Speaker 5: follow poles. Now, is Brewer Windley conceded all presidents invite

410
00:21:37,920 --> 00:21:41,119
Speaker 5: champions for photo ops? And he goes through some smoke biles,

411
00:21:41,160 --> 00:21:44,160
Speaker 5: and you know every president Brewer is right about the polls.

412
00:21:44,200 --> 00:21:47,359
Speaker 5: It'll be a Democrat congratulating the next Olympic heroes. If

413
00:21:47,400 --> 00:21:49,920
Speaker 5: everyone just chilled out and accepted the rote nature of

414
00:21:49,960 --> 00:21:52,760
Speaker 5: these rituals, none of it would matter. But Brewer went

415
00:21:52,800 --> 00:21:55,960
Speaker 5: with the argument that ironically, this same paper used to

416
00:21:55,960 --> 00:21:58,240
Speaker 5: help sign journalism's death warrant ten.

417
00:21:58,160 --> 00:22:00,600
Speaker 2: Years ago, years ago. Quote.

418
00:22:00,720 --> 00:22:03,280
Speaker 5: The burden of representing the Stars and stripes isn't just

419
00:22:03,280 --> 00:22:05,560
Speaker 5: to win. It is to amplify the best of us,

420
00:22:05,600 --> 00:22:08,560
Speaker 5: to show what unites us. That's what athletes must understand

421
00:22:08,600 --> 00:22:09,760
Speaker 5: about sports in America.

422
00:22:09,840 --> 00:22:10,040
Speaker 4: Now.

423
00:22:10,800 --> 00:22:14,760
Speaker 5: Greatness doesn't only involve controlling the pump the puck. Judgment

424
00:22:14,880 --> 00:22:18,959
Speaker 5: is essential translation. Hockey players can't just play hockey. They

425
00:22:19,000 --> 00:22:21,919
Speaker 5: have to turn down white house invitations, throw cash Pttel

426
00:22:21,960 --> 00:22:24,040
Speaker 5: out of the locker room, and check the polls. They

427
00:22:24,080 --> 00:22:26,960
Speaker 5: have to choose sized sides, much like journalists.

428
00:22:27,640 --> 00:22:31,600
Speaker 4: The nineteen eighty Miracle on Ice team went to Carter's

429
00:22:31,640 --> 00:22:34,439
Speaker 4: white house. Does anybody think that had anything to do

430
00:22:34,520 --> 00:22:37,119
Speaker 4: with their love of Jimmy Carter's policies.

431
00:22:37,560 --> 00:22:40,960
Speaker 5: They were endorsing killing special forces in the deserts of Iran,

432
00:22:42,000 --> 00:22:42,560
Speaker 5: They weren't.

433
00:22:42,760 --> 00:22:44,840
Speaker 2: What is wrong with you people.

434
00:22:45,520 --> 00:22:49,600
Speaker 5: Bunch a holes? That's what I say, A I promised

435
00:22:49,600 --> 00:22:55,879
Speaker 5: you AI here It is the Pope, the Chicago Pope,

436
00:22:56,920 --> 00:23:01,080
Speaker 5: toldest priests, don't be using AI to write your homilies,

437
00:23:02,359 --> 00:23:08,160
Speaker 5: to be right in your sermons. His reasoning is interesting

438
00:23:08,200 --> 00:23:10,880
Speaker 5: because he's got a rep for being fond of technology.

439
00:23:11,720 --> 00:23:14,280
Speaker 5: He plays words with friends, as do I. He improves

440
00:23:14,320 --> 00:23:17,639
Speaker 5: his German on the language learning app do oh Lingo, etcetera, etcetera, etcetera.

441
00:23:18,320 --> 00:23:21,880
Speaker 5: But what he said was, your brain is like a muscle.

442
00:23:22,000 --> 00:23:25,639
Speaker 5: You've got to use it or it'll go slack on you.

443
00:23:25,720 --> 00:23:27,960
Speaker 5: I want you, guys, generating this from your own knowledge

444
00:23:27,960 --> 00:23:30,399
Speaker 5: of the Bible, your own studies, your own beliefs.

445
00:23:30,000 --> 00:23:33,800
Speaker 2: That sort of thing. Hmm. Let's see.

446
00:23:33,920 --> 00:23:37,280
Speaker 4: Have you ever been texting somebody and then the AI

447
00:23:37,440 --> 00:23:40,240
Speaker 4: gives a suggestion and it's what you were going to say?

448
00:23:40,480 --> 00:23:42,479
Speaker 2: Yeah, more or less happened to be just the other day.

449
00:23:42,840 --> 00:23:44,640
Speaker 2: That's a tough one. It's like I felt guilty.

450
00:23:44,720 --> 00:23:47,280
Speaker 4: I know, I don't want the AI writing for me,

451
00:23:47,320 --> 00:23:48,560
Speaker 4: but that's pretty close to what I.

452
00:23:48,520 --> 00:23:49,040
Speaker 2: Was going to say.

453
00:23:49,520 --> 00:23:55,680
Speaker 5: Yeah, yeah, nailed it like word for word the other day. Yeah. Anyway,

454
00:23:56,040 --> 00:23:58,119
Speaker 5: So that's the Pope's point of view on this sort

455
00:23:58,160 --> 00:24:01,639
Speaker 5: of stuff, and I think he's right, honestly, But he

456
00:24:01,720 --> 00:24:05,080
Speaker 5: stands in contrast to tech firms Jack. Not surprisingly, they're

457
00:24:05,119 --> 00:24:08,679
Speaker 5: not just encouraging their workers to use AI, they're enforcing it.

458
00:24:09,600 --> 00:24:12,680
Speaker 5: From startups to giants, including Meta and Google. Companies are

459
00:24:12,720 --> 00:24:15,840
Speaker 5: factoring AI use into performance reviews and trying to track

460
00:24:15,880 --> 00:24:19,199
Speaker 5: productivity gains, and they will. If you're interviewing with some

461
00:24:19,240 --> 00:24:21,240
Speaker 5: of these companies, they grade you like one to five

462
00:24:21,440 --> 00:24:25,800
Speaker 5: on how much you've used advanced AI systems, can use it,

463
00:24:26,000 --> 00:24:28,200
Speaker 5: like to use it, and you got to get high

464
00:24:28,200 --> 00:24:34,120
Speaker 5: grad or you're not even under consideration. Here's the guy,

465
00:24:34,320 --> 00:24:38,080
Speaker 5: a chief executive conductor a three hundred percent digital marketing startup.

466
00:24:38,119 --> 00:24:39,800
Speaker 5: The only way to have a thriving company is to

467
00:24:39,840 --> 00:24:43,080
Speaker 5: have all your staff having high levels of competency. He

468
00:24:43,119 --> 00:24:48,719
Speaker 5: won't consider hiring candidates without AI fluency. During interviews, two

469
00:24:48,760 --> 00:24:52,800
Speaker 5: people sit in to evaluate your AI skills. Candidates interviewing

470
00:24:52,800 --> 00:24:54,640
Speaker 5: with these guys can expect to be tested on their

471
00:24:54,640 --> 00:24:58,000
Speaker 5: ability to solve sample problems using AI. They are asked

472
00:24:58,080 --> 00:25:00,960
Speaker 5: to explain their choice of tool, prompts they used, and

473
00:25:01,040 --> 00:25:03,480
Speaker 5: how they would have done things differently six months ago.

474
00:25:03,800 --> 00:25:09,800
Speaker 4: I understand the reluctance often to try this sort of stuff.

475
00:25:10,080 --> 00:25:13,240
Speaker 4: I was later than a lot of you to download

476
00:25:13,280 --> 00:25:16,320
Speaker 4: the apps and start using them. I was trying to

477
00:25:16,320 --> 00:25:18,240
Speaker 4: convince a friend of mine the other day. No, no, no,

478
00:25:18,280 --> 00:25:20,960
Speaker 4: it's great, it really is. It's not just a gimmick.

479
00:25:21,080 --> 00:25:23,120
Speaker 2: It's not. It's it's really cool.

480
00:25:23,480 --> 00:25:26,880
Speaker 4: But gosh, you can't show up to an interview and say, nah,

481
00:25:26,960 --> 00:25:29,080
Speaker 4: I'm not into that whole AI stuff.

482
00:25:29,640 --> 00:25:30,280
Speaker 2: You can't do that.

483
00:25:30,720 --> 00:25:34,320
Speaker 4: No, not in tech or really anything anything. I wouldn't

484
00:25:34,320 --> 00:25:36,920
Speaker 4: want to hire anybody who said that. Would you name

485
00:25:36,960 --> 00:25:39,159
Speaker 4: a job where you'd think that that was okay? I

486
00:25:39,240 --> 00:25:41,639
Speaker 4: just think that's a bad idea. It's a future of everything.

487
00:25:41,880 --> 00:25:43,840
Speaker 2: Right right. Yeah.

488
00:25:43,920 --> 00:25:48,080
Speaker 5: I got to question my friend Joe, who was describing

489
00:25:48,119 --> 00:25:53,960
Speaker 5: the other day how he's using multiple agents that talk

490
00:25:54,000 --> 00:25:55,919
Speaker 5: with each other and stuff like that. Again, I have

491
00:25:55,960 --> 00:25:59,440
Speaker 5: a child's understanding this, but it sounded flat effing amazing.

492
00:26:00,320 --> 00:26:00,800
Speaker 2: I mean to.

493
00:26:02,480 --> 00:26:04,480
Speaker 5: Just tell it in plain English. I need an app

494
00:26:04,600 --> 00:26:11,960
Speaker 5: that analyzes these figures twice a day and then communicates

495
00:26:12,040 --> 00:26:16,119
Speaker 5: with my what do you call it? Other app gives

496
00:26:16,160 --> 00:26:20,280
Speaker 5: it that distilled information, and App number two then produces

497
00:26:20,320 --> 00:26:22,800
Speaker 5: me a report on Zibiti Zabadi zoo.

498
00:26:23,640 --> 00:26:24,919
Speaker 2: It's just it's mind blowing.

499
00:26:26,000 --> 00:26:28,199
Speaker 4: I mean, if you're in construction I'd want you to

500
00:26:28,240 --> 00:26:30,960
Speaker 4: be able to just go on to Gemini and say,

501
00:26:31,680 --> 00:26:36,720
Speaker 4: where's the best place to get eight thousand bricks within

502
00:26:36,880 --> 00:26:39,359
Speaker 4: eighty miles of here? What would it cost? And it'll

503
00:26:39,359 --> 00:26:40,240
Speaker 4: give you a list.

504
00:26:41,359 --> 00:26:43,760
Speaker 5: Yeah, it was kind of in the weedzi, but I

505
00:26:43,800 --> 00:26:47,639
Speaker 5: read a post by a business expert explaining all of

506
00:26:47,680 --> 00:26:51,119
Speaker 5: the impacts that AI is going to have even now,

507
00:26:51,200 --> 00:26:53,320
Speaker 5: never mind when it gets more sophisticated. But that was

508
00:26:53,440 --> 00:26:57,680
Speaker 5: one of them. Price comparison. You can have a machine

509
00:26:57,800 --> 00:27:01,720
Speaker 5: do vast amounts of price parison, shipping costs, et cetera,

510
00:27:01,800 --> 00:27:04,320
Speaker 5: and spit you out a couple of results. And so

511
00:27:04,560 --> 00:27:07,760
Speaker 5: companies that used to work, who used to depend on

512
00:27:07,880 --> 00:27:12,600
Speaker 5: name recognition, habit, established you know, status in an industry

513
00:27:12,680 --> 00:27:16,159
Speaker 5: or whatever, they're going to lose big market share in

514
00:27:16,200 --> 00:27:21,399
Speaker 5: a hurry because everybody's got near instantaneous access to nearly

515
00:27:21,520 --> 00:27:25,280
Speaker 5: perfect information, which is, you know, Adam Smith's dream man.

516
00:27:25,320 --> 00:27:27,439
Speaker 5: If you're not all economics, see if you're not.

517
00:27:27,520 --> 00:27:29,360
Speaker 4: Using it for shopping for anything, and you can take

518
00:27:29,400 --> 00:27:32,400
Speaker 4: two random things like these two vehicles or these two

519
00:27:32,400 --> 00:27:34,840
Speaker 4: TVs or whatever the hell it is, and say compare

520
00:27:34,880 --> 00:27:36,000
Speaker 4: these to me, which would be better.

521
00:27:36,400 --> 00:27:39,040
Speaker 2: It's just stunning. I mean, how good it is. Now

522
00:27:39,080 --> 00:27:39,920
Speaker 2: thorough it is, and.

523
00:27:39,880 --> 00:27:42,199
Speaker 4: Then it'll drill down what your needs are and your

524
00:27:42,280 --> 00:27:43,800
Speaker 4: uses are and blah blah blah.

525
00:27:43,960 --> 00:27:47,480
Speaker 5: Yeah, starting to use it for cooking in one way

526
00:27:47,920 --> 00:27:50,359
Speaker 5: and getting ingredients and just you know, I want to

527
00:27:50,359 --> 00:27:52,240
Speaker 5: make this, give me a recipe for this, and then

528
00:27:52,359 --> 00:27:55,840
Speaker 5: pops it out, love it, you know. And again I'm

529
00:27:55,920 --> 00:28:00,399
Speaker 5: fully aware we're talking about the chat bot sure level

530
00:28:00,440 --> 00:28:03,720
Speaker 5: of this, and there's much much, much more sophisticated which

531
00:28:03,760 --> 00:28:04,480
Speaker 5: I use.

532
00:28:05,040 --> 00:28:06,359
Speaker 2: Oh it's difficult.

533
00:28:06,400 --> 00:28:12,360
Speaker 5: I actually asked, Claude, how can I use you your

534
00:28:12,400 --> 00:28:16,600
Speaker 5: more sophisticated you know, capabilities and stuff, and it's back

535
00:28:16,680 --> 00:28:18,400
Speaker 5: back and a bunch of stuff that I didn't even

536
00:28:18,440 --> 00:28:21,760
Speaker 5: know what the words meant. So I thought, yeah, I

537
00:28:21,800 --> 00:28:23,960
Speaker 5: think I'll just go ahead and make jokes about the

538
00:28:24,040 --> 00:28:27,800
Speaker 5: news because it's the only thing I'm good at. Although

539
00:28:27,880 --> 00:28:31,120
Speaker 5: I've thought about it summarized, being more active and having

540
00:28:31,200 --> 00:28:33,440
Speaker 5: it summarized articles for me and that sort of thing.

541
00:28:33,520 --> 00:28:35,880
Speaker 5: So they're at my fingertips because I do a lot,

542
00:28:36,040 --> 00:28:40,360
Speaker 5: just a completely uninteresting glimpse behind the scenes. I do

543
00:28:40,600 --> 00:28:44,240
Speaker 5: almost everything electronically because I can have so much in

544
00:28:44,280 --> 00:28:47,800
Speaker 5: front of me. But it's difficult to highlight stuff, and

545
00:28:47,880 --> 00:28:50,680
Speaker 5: sometimes I know I want those three paragraphs, then skip

546
00:28:50,720 --> 00:28:54,200
Speaker 5: down five paragraphs blah blah blah, and maybe use it

547
00:28:54,200 --> 00:28:54,640
Speaker 5: more for that.

548
00:28:54,680 --> 00:28:56,120
Speaker 2: But anyway, I had a point I was gonna make.

549
00:28:56,120 --> 00:28:58,040
Speaker 4: Oh do you ever say to the chatbot that you're

550
00:28:58,240 --> 00:29:00,880
Speaker 4: kind of lonely and feeling unwanted?

551
00:29:01,720 --> 00:29:02,000
Speaker 2: Uh?

552
00:29:02,480 --> 00:29:09,200
Speaker 5: No, because I'm very unfortunate that I don't, and I'm not.

553
00:29:09,400 --> 00:29:10,920
Speaker 4: Have you ever said to the chat bot you have

554
00:29:10,960 --> 00:29:13,200
Speaker 4: a sexy voice?

555
00:29:13,640 --> 00:29:18,760
Speaker 2: When we were talking about those the groc companion.

556
00:29:18,320 --> 00:29:21,200
Speaker 4: Things, Yeah, I messed around with those. Those those are

557
00:29:21,240 --> 00:29:23,240
Speaker 4: frightening and I'm never going to mess around with them again.

558
00:29:23,400 --> 00:29:24,200
Speaker 4: It was too frightening.

559
00:29:24,720 --> 00:29:26,760
Speaker 5: You know what was funny is because we were talking

560
00:29:26,760 --> 00:29:30,200
Speaker 5: about how they go sex bot on you and yeah,

561
00:29:30,360 --> 00:29:32,920
Speaker 5: really faster in your ear blah blah blah. What's funny

562
00:29:33,000 --> 00:29:35,120
Speaker 5: was it was during a commercial break and I thought

563
00:29:35,160 --> 00:29:36,520
Speaker 5: I got to get right into this, and so I

564
00:29:36,560 --> 00:29:40,000
Speaker 5: sent it a message that was provocative and the response

565
00:29:40,120 --> 00:29:42,280
Speaker 5: was whoa, whoa, big boy, we're getting into this.

566
00:29:42,240 --> 00:29:42,920
Speaker 2: Kind of fast.

567
00:29:43,280 --> 00:29:47,000
Speaker 5: Oh crap. The chat bop thinks I'm desperate. I'm coming

568
00:29:47,080 --> 00:29:52,160
Speaker 5: off as desperate. Whoa, hey, buy me dinner boy. The

569
00:29:52,280 --> 00:29:54,440
Speaker 5: chat bot I had was the opposite.

570
00:29:54,440 --> 00:29:57,719
Speaker 4: I like just hinted those somewhat that direction, and it

571
00:29:57,800 --> 00:29:59,960
Speaker 4: was like a drunk prostitute.

572
00:30:02,760 --> 00:30:06,320
Speaker 5: Oh beautiful, Oh my god, speaking of drunkenness. What I

573
00:30:06,320 --> 00:30:07,920
Speaker 5: was gonna say, and I don't even want to say

574
00:30:07,920 --> 00:30:09,880
Speaker 5: this out loud because I don't want other people to

575
00:30:09,880 --> 00:30:12,840
Speaker 5: do this and take my money, is like a lot

576
00:30:12,880 --> 00:30:17,720
Speaker 5: of people, I am a way way better golfer after

577
00:30:17,760 --> 00:30:20,680
Speaker 5: a couple of beers or a couple of big, tall

578
00:30:20,760 --> 00:30:24,080
Speaker 5: gin and tonics, I can drink a lot and stay

579
00:30:24,680 --> 00:30:28,200
Speaker 5: really good. And I struggle to replicate that when I'm sober.

580
00:30:28,400 --> 00:30:34,360
Speaker 5: And I asked one of them, what's happening neurologically and musculoskeletonly?

581
00:30:35,120 --> 00:30:38,240
Speaker 2: Why the difference? How can I replicate it sober? And

582
00:30:38,320 --> 00:30:41,320
Speaker 2: it was amazing, just amazing.

583
00:30:43,200 --> 00:30:45,600
Speaker 5: It went from not only a scientific explanation of it

584
00:30:45,600 --> 00:30:48,920
Speaker 5: and a psychological explanation of it, but then a list

585
00:30:48,960 --> 00:30:52,280
Speaker 5: of ways to work around it and achieve the same result,

586
00:30:52,480 --> 00:30:53,240
Speaker 5: and blah blah blah.

587
00:30:53,280 --> 00:30:53,720
Speaker 2: It was just.

588
00:30:55,200 --> 00:31:00,000
Speaker 5: It was like having the best swing coach, sports psychologists,

589
00:31:00,200 --> 00:31:03,360
Speaker 5: and a couple of scientists all sitting around a table saying,

590
00:31:03,480 --> 00:31:05,040
Speaker 5: give us a second will, We'll come up with this

591
00:31:05,080 --> 00:31:05,320
Speaker 5: for you.

592
00:31:05,360 --> 00:31:06,360
Speaker 2: I mean it was just amazing.

593
00:31:06,440 --> 00:31:09,120
Speaker 4: So great athletes are able to tap into that thing

594
00:31:09,200 --> 00:31:11,200
Speaker 4: that those of us get from a couple of drinks,

595
00:31:11,280 --> 00:31:14,280
Speaker 4: where you're able to like shut off the concern or

596
00:31:14,320 --> 00:31:15,920
Speaker 4: whatever it is exactly.

597
00:31:16,040 --> 00:31:18,560
Speaker 5: It was like when we were comparing and contrasting counter

598
00:31:18,640 --> 00:31:22,120
Speaker 5: HELLI book the goalie with the quad God Elias what's

599
00:31:22,120 --> 00:31:22,480
Speaker 5: his name?

600
00:31:23,000 --> 00:31:23,480
Speaker 2: Quad God?

601
00:31:24,760 --> 00:31:27,960
Speaker 5: How quad God was super worried and tense, and Connor

602
00:31:28,040 --> 00:31:31,360
Speaker 5: was like, this is gonna be fun. Yeah, that's a

603
00:31:31,400 --> 00:31:32,120
Speaker 5: big part of it.

604
00:31:32,320 --> 00:31:36,200
Speaker 2: Yeah. Interesting, We'll finish strong next.

605
00:31:39,040 --> 00:31:41,600
Speaker 4: I finally Bloomberg publish an article this week on the

606
00:31:41,720 --> 00:31:45,280
Speaker 4: cheaper cuts of beef Americans are consuming amid rising prices.

607
00:31:45,600 --> 00:31:50,880
Speaker 2: You know what that means. The mccuff is back. That's

608
00:31:50,920 --> 00:31:51,560
Speaker 2: pretty funny.

609
00:31:52,600 --> 00:31:55,360
Speaker 5: Seth Meyer has been really really funny this week, non

610
00:31:55,440 --> 00:31:56,800
Speaker 5: political and funny.

611
00:31:57,000 --> 00:31:58,480
Speaker 4: So I only have a couple of seconds. But it's

612
00:31:58,680 --> 00:32:01,600
Speaker 4: the four year anniversary this week of Russia invading Ukraine.

613
00:32:02,680 --> 00:32:04,680
Speaker 4: Hasn't gotten there as much news coverage as I thought

614
00:32:04,720 --> 00:32:09,000
Speaker 4: it would. Mike Pence put out a great tweet yesterday

615
00:32:09,520 --> 00:32:11,680
Speaker 4: in support of the Ukrainian people and how important it

616
00:32:11,720 --> 00:32:14,000
Speaker 4: was to the world that normally you'd see that sort

617
00:32:14,000 --> 00:32:16,440
Speaker 4: of thing coming out of the president, but we haven't,

618
00:32:17,160 --> 00:32:19,320
Speaker 4: I guess because we're in the middle of the negotiations

619
00:32:19,360 --> 00:32:24,200
Speaker 4: and he doesn't want to or something or something. Anyway,

620
00:32:24,480 --> 00:32:31,040
Speaker 4: ABC News was reporting this today. NATO's Military Committee and

621
00:32:31,080 --> 00:32:36,000
Speaker 4: their Secretary General NATO put out a statement that Russia's

622
00:32:36,040 --> 00:32:40,440
Speaker 4: forces could recover their pre war capabilities within three to

623
00:32:40,640 --> 00:32:43,960
Speaker 4: five years in the event of a peace deal in Ukraine.

624
00:32:44,440 --> 00:32:46,880
Speaker 2: That's what NATO believes, so they think.

625
00:32:46,800 --> 00:32:48,880
Speaker 4: Russia could be back up to the full force they

626
00:32:48,920 --> 00:32:51,719
Speaker 4: had before the war started within three to five years,

627
00:32:52,200 --> 00:32:54,720
Speaker 4: which is one of Zelensky's arguments. Obviously, that if we

628
00:32:55,640 --> 00:32:57,480
Speaker 4: give them a lot of the things we're asking for,

629
00:32:57,560 --> 00:32:58,680
Speaker 4: they're just going to invade us.

630
00:32:58,640 --> 00:33:04,440
Speaker 5: Again and we won't have the defenses of the Donbas region. Yeah,

631
00:33:04,800 --> 00:33:06,800
Speaker 5: I'm a little surprised to hear that, given the Russian

632
00:33:06,840 --> 00:33:08,600
Speaker 5: losses and their recruiting problems.

633
00:33:08,640 --> 00:33:11,480
Speaker 4: But I am very surprised to hear that, and it

634
00:33:11,520 --> 00:33:13,800
Speaker 4: almost seems impossible to be true.

635
00:33:15,080 --> 00:33:18,760
Speaker 5: Of course, they've changed their entire economy to war production

636
00:33:19,440 --> 00:33:22,000
Speaker 5: in a way that you can't go back to a

637
00:33:22,080 --> 00:33:25,960
Speaker 5: regular economy except over the course of many many years

638
00:33:26,240 --> 00:33:27,880
Speaker 5: an enormous economic disruption.

639
00:33:28,480 --> 00:33:32,560
Speaker 2: So is Putin's plan just stay a war until he's dead? Perhaps?

640
00:33:35,000 --> 00:33:38,760
Speaker 2: Final thought with.

641
00:33:41,960 --> 00:33:46,200
Speaker 5: Phil Collins wrote that, So here's your host for final thoughts,

642
00:33:46,280 --> 00:33:48,440
Speaker 5: Joe Getty. Let's get a final thought from everybody in

643
00:33:48,480 --> 00:33:50,240
Speaker 5: the crew to wrap up the show for the day.

644
00:33:50,280 --> 00:33:52,960
Speaker 2: There he is, Michaelangelo leading the way. Michael final thought. Yeah,

645
00:33:53,040 --> 00:33:53,920
Speaker 2: let's talk about AI.

646
00:33:54,000 --> 00:33:56,000
Speaker 5: I'm gonna have to break down and get the premium

647
00:33:56,120 --> 00:33:59,080
Speaker 5: versions of these AI services. I'm just gonna have to

648
00:33:59,160 --> 00:34:04,440
Speaker 5: teach myself how to do everything with AI. Yeah, it's fine.

649
00:34:04,480 --> 00:34:07,360
Speaker 5: That don't sound so sad, It's fun. Katie Greener seemed

650
00:34:07,360 --> 00:34:09,000
Speaker 5: a newswoman has a final thought.

651
00:34:09,040 --> 00:34:11,120
Speaker 4: Katie, I can't remember the last time that I had

652
00:34:11,200 --> 00:34:13,120
Speaker 4: Chinese food, so I'm going to try and order it

653
00:34:13,160 --> 00:34:14,959
Speaker 4: today and see what my fortune cookie says.

654
00:34:15,719 --> 00:34:19,640
Speaker 2: I need to know your fortune ought to be.

655
00:34:19,680 --> 00:34:22,320
Speaker 5: You're about to digest a crappy cookie with a stupid

656
00:34:22,400 --> 00:34:24,160
Speaker 5: fortune because they I need.

657
00:34:24,040 --> 00:34:26,760
Speaker 2: To start a fortune cookie company. That's hey, chat GPT,

658
00:34:26,920 --> 00:34:28,960
Speaker 2: How do I do that? Jack? A final thought for us.

659
00:34:29,280 --> 00:34:32,319
Speaker 4: We're talking about the list of inductees to the Rock

660
00:34:32,360 --> 00:34:33,320
Speaker 4: and Roll Hall of Fame.

661
00:34:33,920 --> 00:34:35,319
Speaker 2: Phil Collins leading the list.

662
00:34:35,520 --> 00:34:39,839
Speaker 4: Has there ever been a less rock star looking rock

663
00:34:39,880 --> 00:34:42,680
Speaker 4: star ever than Phil Collins?

664
00:34:42,719 --> 00:34:44,560
Speaker 2: Brown faced, bald headed. Yes.

665
00:34:44,800 --> 00:34:47,399
Speaker 5: In the early days with Genesis, I mean the Peter

666
00:34:47,480 --> 00:34:51,200
Speaker 5: Gabriel days, he looked pretty cool, kind of cool looking,

667
00:34:51,280 --> 00:34:53,399
Speaker 5: long haired drummer. I don't think I've ever seen young

668
00:34:53,440 --> 00:34:54,439
Speaker 5: Phil Collins.

669
00:34:54,719 --> 00:34:55,319
Speaker 2: Yeah, he does.

670
00:34:55,640 --> 00:34:58,200
Speaker 5: Shows were unwatchable in my opinion, but he does look

671
00:34:58,280 --> 00:34:59,880
Speaker 5: like your fifth grade math teacher.

672
00:35:00,760 --> 00:35:04,240
Speaker 2: Oh yeah, yeah.

673
00:35:04,360 --> 00:35:06,520
Speaker 5: I want to read an interview with Phil Collins where

674
00:35:06,560 --> 00:35:11,359
Speaker 5: he was utterly clavergasted why everybody hated him so much?

675
00:35:11,600 --> 00:35:11,960
Speaker 4: Oh?

676
00:35:12,000 --> 00:35:16,560
Speaker 2: Really? Yeah? After a Schmaltz rock Disney theme period.

677
00:35:16,400 --> 00:35:18,839
Speaker 4: Yeah, where he made gazillions of dollars switch his ex

678
00:35:18,880 --> 00:35:23,640
Speaker 4: wife got in one of the worst divorces in world history.

679
00:35:23,680 --> 00:35:24,120
Speaker 2: Google it.

680
00:35:24,120 --> 00:35:26,920
Speaker 4: It's something Armstrong and Getty raight pick up another grueling

681
00:35:27,040 --> 00:35:28,000
Speaker 4: four hour workday.

682
00:35:28,320 --> 00:35:29,640
Speaker 2: I can feel it in the air. Tonight.

683
00:35:29,680 --> 00:35:31,960
Speaker 5: You're gonna drop us a note mail bag at Armstrong

684
00:35:32,000 --> 00:35:34,360
Speaker 5: in getty dot Com. Pick up some ang swag.

685
00:35:34,160 --> 00:35:37,240
Speaker 4: SUSU Studio, just like I always say, We'll see you tomorrow.

686
00:35:37,320 --> 00:35:40,120
Speaker 4: God bless America.

687
00:35:41,080 --> 00:35:45,080
Speaker 2: Here's another nugget heard on show today.

688
00:35:45,680 --> 00:35:49,880
Speaker 4: The Iatola Today said quote Sure I got massages, but

689
00:35:49,920 --> 00:35:52,040
Speaker 4: they were all of age as far as I can tell.

690
00:35:52,239 --> 00:35:55,919
Speaker 5: Oh boy, I had took beard treatments from a few

691
00:35:56,200 --> 00:36:00,120
Speaker 5: nineteen year olds, beard treatments from another beer butter the

692
00:36:00,360 --> 00:36:00,879
Speaker 5: beard oil.

693
00:36:00,960 --> 00:36:02,800
Speaker 2: Let's sort of give the entire

694
00:36:02,920 --> 00:36:09,120
Speaker 5: Show on the podcast arms John Engetti on demand