1
00:00:02,160 --> 00:00:06,480
Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George

2
00:00:06,519 --> 00:00:10,520
Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty.

3
00:00:10,480 --> 00:00:12,880
Speaker 2: Armstrong and Getty and he.

4
00:00:15,680 --> 00:00:17,560
Speaker 1: Armstrong and Yetty.

5
00:00:23,840 --> 00:00:25,800
Speaker 2: I don't actually what I think of Jeff Bezos. Do

6
00:00:25,840 --> 00:00:28,000
Speaker 2: you have an opinion on Jeff Bezos. I feel like

7
00:00:28,040 --> 00:00:29,520
Speaker 2: for some reason I didn't like him, but I don't

8
00:00:29,520 --> 00:00:32,519
Speaker 2: even remember, because he ran the Washington Boast. Maybe, but

9
00:00:32,520 --> 00:00:34,840
Speaker 2: he's been trying to turn it around to a certain extent.

10
00:00:35,080 --> 00:00:38,760
Speaker 1: Yeah, I like that, you know, a mixed bag. He's

11
00:00:38,800 --> 00:00:43,600
Speaker 1: a super ambitious, super creative, go getter guy. That's the

12
00:00:43,680 --> 00:00:46,040
Speaker 1: kind of guy who can impress you and leave some bruises.

13
00:00:46,280 --> 00:00:49,280
Speaker 2: Well, his showy wedding I thought was a bad look,

14
00:00:49,440 --> 00:00:54,280
Speaker 2: just the like daily doing this for the public. Why

15
00:00:54,120 --> 00:00:55,120
Speaker 2: why for a week?

16
00:00:55,720 --> 00:00:55,960
Speaker 3: Yeah?

17
00:00:56,600 --> 00:00:58,480
Speaker 2: Why he got to have all this attention on. You

18
00:00:58,600 --> 00:01:02,000
Speaker 2: got the astonishing levels of consumption. It's yeah, yeah, right,

19
00:01:02,200 --> 00:01:05,960
Speaker 2: conspicuous consumption. I think that's driven by his wife more

20
00:01:05,959 --> 00:01:10,200
Speaker 2: than him. Any who. Jeff Bezos's second richest man in

21
00:01:10,200 --> 00:01:13,440
Speaker 2: the world. Got rich through Amazon mostly. Now he's got

22
00:01:13,440 --> 00:01:17,479
Speaker 2: his own big rocket company like Elon uh and as

23
00:01:17,560 --> 00:01:20,720
Speaker 2: the owner of The Washington Post, Sat down with CNBC's

24
00:01:22,120 --> 00:01:25,479
Speaker 2: Andrew Ross Sorkin yesterday answered a whole bunch of questions

25
00:01:25,480 --> 00:01:30,559
Speaker 2: on a bunch of different topics, particularly like this shot

26
00:01:30,680 --> 00:01:31,920
Speaker 2: at Mayor Mundani.

27
00:01:32,560 --> 00:01:37,160
Speaker 4: The New York City school system, right, they spend forty

28
00:01:37,240 --> 00:01:40,040
Speaker 4: four thousand dollars per student.

29
00:01:41,680 --> 00:01:44,400
Speaker 2: Forty four thousand. That's thirty percent.

30
00:01:44,200 --> 00:01:48,320
Speaker 4: More per student than other big cities like Chicago, LA

31
00:01:48,600 --> 00:01:54,080
Speaker 4: and Boston. And it's three times more than Miami and Houston.

32
00:01:54,600 --> 00:01:57,600
Speaker 4: And by the way, New York City doesn't get better outcomes.

33
00:01:58,520 --> 00:02:01,520
Speaker 4: So what this Listen, let me let me just say,

34
00:02:01,640 --> 00:02:05,280
Speaker 4: if we ran Amazon the way New York City runs

35
00:02:05,320 --> 00:02:08,600
Speaker 4: their school system, right, your packages would take six weeks

36
00:02:08,639 --> 00:02:11,160
Speaker 4: to arrive, We'd have to charge you one hundred dollars

37
00:02:11,160 --> 00:02:14,399
Speaker 4: delivery fee, and then when the package did finally.

38
00:02:14,240 --> 00:02:19,160
Speaker 2: Arrive, it have the wrong item in it. Anyway, people

39
00:02:19,200 --> 00:02:22,600
Speaker 2: like Bezos and Elon, this is why Elon got involved

40
00:02:22,600 --> 00:02:26,120
Speaker 2: in DOGE, because they are businessmen that have to figure

41
00:02:26,160 --> 00:02:29,400
Speaker 2: out the most efficient way to do everything to survive.

42
00:02:29,520 --> 00:02:32,560
Speaker 2: And some people who work for Amazon would are well

43
00:02:32,600 --> 00:02:39,040
Speaker 2: aware of how perhaps brutally efficient it is. Bezos tries

44
00:02:39,080 --> 00:02:40,399
Speaker 2: to get the most out of people for the least

45
00:02:40,400 --> 00:02:42,880
Speaker 2: amount of money, as pretty much all corporations always have

46
00:02:43,639 --> 00:02:46,560
Speaker 2: to try to get ahead. Man, they look at government

47
00:02:46,600 --> 00:02:48,640
Speaker 2: and it just they just they just can't understand how

48
00:02:48,639 --> 00:02:51,839
Speaker 2: it can possibly happen. Then you get involved, like Elon did,

49
00:02:51,840 --> 00:02:54,919
Speaker 2: and you realize there's all kinds of forces a raid

50
00:02:55,000 --> 00:02:57,360
Speaker 2: against you to be efficient in the way that you

51
00:02:57,400 --> 00:02:59,400
Speaker 2: can be in the private sector. But that's a different topic.

52
00:03:00,400 --> 00:03:02,520
Speaker 2: But yeah, it's done surprise me that Bezos looks at

53
00:03:02,800 --> 00:03:04,960
Speaker 2: how do you spend more than every other city in

54
00:03:05,000 --> 00:03:08,000
Speaker 2: America buy a lot and get worse results for your students?

55
00:03:08,240 --> 00:03:09,600
Speaker 2: How do you possibly do that?

56
00:03:10,200 --> 00:03:14,200
Speaker 1: Right? Well, he's overlooking the main point that needs to

57
00:03:14,200 --> 00:03:15,919
Speaker 1: be the takeaway from all of this stuff, and it's

58
00:03:15,919 --> 00:03:19,200
Speaker 1: a very cynical one, but it's accurate. It goes back

59
00:03:19,240 --> 00:03:22,200
Speaker 1: to the every great cause becomes a business and ends

60
00:03:22,240 --> 00:03:25,600
Speaker 1: up a grift. So it is for government schools, they

61
00:03:25,639 --> 00:03:29,840
Speaker 1: are now a grift, Jeff. They don't exist to educate children.

62
00:03:30,200 --> 00:03:35,120
Speaker 1: They exist as an employment program for people who vote left.

63
00:03:35,840 --> 00:03:38,720
Speaker 1: That's why they keep pumping more money into it because

64
00:03:38,760 --> 00:03:43,040
Speaker 1: they achieve their objective, which is distributing the money, Jeff.

65
00:03:43,200 --> 00:03:46,560
Speaker 1: Their objective is no longer to educate children, that's why

66
00:03:46,560 --> 00:03:47,640
Speaker 1: it needs to be torn down.

67
00:03:48,120 --> 00:03:51,040
Speaker 2: So in our one, we played his response to the

68
00:03:51,760 --> 00:03:54,440
Speaker 2: aocs of the world who say you can't become a billionaire,

69
00:03:54,440 --> 00:03:56,880
Speaker 2: it's impossible without being a crook, and he pushes back

70
00:03:56,920 --> 00:03:59,160
Speaker 2: on that and explains why that's stupid, which it is stupid.

71
00:03:59,320 --> 00:04:01,640
Speaker 2: So if you didn't get the chance to hear that,

72
00:04:02,200 --> 00:04:04,400
Speaker 2: get our podcast Armstrong and getting on demand to check

73
00:04:04,400 --> 00:04:07,040
Speaker 2: out our one. But I haven't actually heard this one

74
00:04:07,120 --> 00:04:10,120
Speaker 2: about the benefits of AI, which I'm skeptical about. Here's

75
00:04:10,160 --> 00:04:12,200
Speaker 2: Jeff Bezos on CNBC yesterday.

76
00:04:12,520 --> 00:04:15,880
Speaker 4: So there are so many smart people, and they are smart,

77
00:04:16,040 --> 00:04:18,000
Speaker 4: and they are saying, oh my god, you know there's

78
00:04:18,040 --> 00:04:22,240
Speaker 4: gonna be no more radiologists because you know, AI can

79
00:04:22,279 --> 00:04:23,880
Speaker 4: read X rays better than.

80
00:04:23,760 --> 00:04:24,760
Speaker 2: A radiologist can.

81
00:04:24,839 --> 00:04:27,279
Speaker 4: And they're gonna be no more software engineers because a

82
00:04:27,400 --> 00:04:29,520
Speaker 4: I can program better than a software engineer can.

83
00:04:30,200 --> 00:04:31,320
Speaker 2: These people are wrong.

84
00:04:32,000 --> 00:04:34,480
Speaker 4: So what's really going to happen is that it's going

85
00:04:34,520 --> 00:04:36,960
Speaker 4: to elevate all of these people and they're gonna It's

86
00:04:36,960 --> 00:04:39,600
Speaker 4: like it's it's like you've been digging. Let's say you're

87
00:04:39,600 --> 00:04:42,560
Speaker 4: a software engineer, right, what it's the analogy and giving

88
00:04:42,560 --> 00:04:47,159
Speaker 4: you is you've been, uh, digging out a basement for

89
00:04:47,200 --> 00:04:51,360
Speaker 4: your house with a shovel and somebody's about to hand

90
00:04:51,360 --> 00:04:56,039
Speaker 4: you a bulldozer. You're you're you should be so happy

91
00:04:56,640 --> 00:04:59,400
Speaker 4: if you're digging the basement to your house and somebody says, hey,

92
00:04:59,400 --> 00:05:01,560
Speaker 4: how about this, I have a tool here.

93
00:05:01,640 --> 00:05:04,160
Speaker 2: That's gonna And what's really going.

94
00:05:04,160 --> 00:05:06,600
Speaker 4: To happen is we're going to have so much productivity

95
00:05:06,600 --> 00:05:11,160
Speaker 4: in our economy that, for example, this is this is

96
00:05:11,240 --> 00:05:15,520
Speaker 4: one effect a lot of people who have two earner

97
00:05:16,000 --> 00:05:19,000
Speaker 4: income households. One of the people is going to drop

98
00:05:19,040 --> 00:05:21,240
Speaker 4: out of the workforce. That's why we're gonna have a

99
00:05:21,279 --> 00:05:22,080
Speaker 4: labor shortage.

100
00:05:22,839 --> 00:05:23,119
Speaker 2: People.

101
00:05:23,360 --> 00:05:26,479
Speaker 4: Because of the productivity gains, you're gonna be able to

102
00:05:26,520 --> 00:05:27,200
Speaker 4: afford things.

103
00:05:27,279 --> 00:05:29,599
Speaker 2: We're gonna have I predictable, actually.

104
00:05:29,279 --> 00:05:31,720
Speaker 1: Have deflation of certain core.

105
00:05:32,200 --> 00:05:33,880
Speaker 2: Uh and assuming we let this.

106
00:05:33,880 --> 00:05:38,200
Speaker 4: Technology play out and don't you hamstring it with regulation

107
00:05:38,360 --> 00:05:43,080
Speaker 4: too early, we will actually have you know, everything will.

108
00:05:42,880 --> 00:05:47,240
Speaker 2: Get food will get cheaper. So there's another guy who's

109
00:05:47,720 --> 00:05:52,080
Speaker 2: way smarter than me, Jeff Bezos saying the same thing

110
00:05:52,160 --> 00:05:57,040
Speaker 2: Elon's been saying. An altman and uh, Dario from Claude

111
00:05:57,200 --> 00:06:00,200
Speaker 2: very that, oh, there's gonna be there's gonna be so

112
00:06:00,279 --> 00:06:05,400
Speaker 2: much abundance of everything, you know, no more to working households.

113
00:06:05,440 --> 00:06:07,200
Speaker 2: One of you can quit, maybe both of you can

114
00:06:07,279 --> 00:06:12,240
Speaker 2: quit in the future. Again skipping over the explanation of

115
00:06:15,720 --> 00:06:17,680
Speaker 2: why is a company, why is any company going to

116
00:06:17,720 --> 00:06:19,440
Speaker 2: produce all this stuff and then just give it to

117
00:06:19,480 --> 00:06:23,359
Speaker 2: me or or not I don't understand, or who's going

118
00:06:23,440 --> 00:06:25,880
Speaker 2: to collect the money from the productivity and then give

119
00:06:25,920 --> 00:06:28,680
Speaker 2: it back out. I still don't understand the mechanism for

120
00:06:28,720 --> 00:06:29,400
Speaker 2: how this works.

121
00:06:30,400 --> 00:06:35,680
Speaker 1: Or these now incredibly productive software engineers, to cite you know,

122
00:06:35,720 --> 00:06:39,040
Speaker 1: the example he did, they are going to be cut

123
00:06:39,080 --> 00:06:45,159
Speaker 1: in on the enormous productivity of their companies because there's

124
00:06:45,200 --> 00:06:48,560
Speaker 1: so much profit, but in defiance of laws of supply

125
00:06:48,640 --> 00:06:50,599
Speaker 1: and demand. Because if there's somebody willing to do it

126
00:06:50,640 --> 00:06:54,920
Speaker 1: for less and everybody is capable, they should get the job. Yeah,

127
00:06:55,000 --> 00:06:59,000
Speaker 1: I yeah, I know what you're at.

128
00:06:59,800 --> 00:07:03,640
Speaker 2: So like, if all of a sudden in the fifties,

129
00:07:05,880 --> 00:07:10,160
Speaker 2: GM could have made their car for half as much

130
00:07:11,200 --> 00:07:14,120
Speaker 2: but sold it at the same price, they would have

131
00:07:14,120 --> 00:07:20,640
Speaker 2: given all those profits to the workers and other people

132
00:07:20,680 --> 00:07:24,320
Speaker 2: wouldn't have like gotten up and moved to Michigan and

133
00:07:24,360 --> 00:07:27,800
Speaker 2: taken those jobs because they pay so incredibly, like obscenely,

134
00:07:27,840 --> 00:07:29,520
Speaker 2: I'm more than anything else in the world. And then

135
00:07:29,600 --> 00:07:31,120
Speaker 2: wages that have come down because you got so many

136
00:07:31,160 --> 00:07:34,760
Speaker 2: people that want the jumper. I just again, I don't understand,

137
00:07:34,880 --> 00:07:37,080
Speaker 2: like you said, in defiance of all economic laws that

138
00:07:37,120 --> 00:07:40,320
Speaker 2: have existed in the past, I don't understand how this works.

139
00:07:40,960 --> 00:07:43,720
Speaker 1: And in your example, Ford would have undercut GM. If

140
00:07:43,760 --> 00:07:46,160
Speaker 1: they were able to do that to lower prices, then

141
00:07:46,200 --> 00:07:49,120
Speaker 1: you get the deflation Jeff's talking about. But then that

142
00:07:50,120 --> 00:07:54,560
Speaker 1: is deflating the profit that in theory, we're redistributing somehow

143
00:07:55,120 --> 00:07:57,960
Speaker 1: to everything so somebody can drop out of the workplace.

144
00:07:57,600 --> 00:08:01,800
Speaker 2: And just because we're nice. Yeah, and who's distributing it?

145
00:08:04,200 --> 00:08:06,960
Speaker 2: The company's going to be checks to everybody or is

146
00:08:07,000 --> 00:08:09,080
Speaker 2: the government going to take the money and then hand

147
00:08:09,160 --> 00:08:12,000
Speaker 2: it back out? Because Elon's always talking about the universal

148
00:08:12,120 --> 00:08:15,840
Speaker 2: UHI Universal high income but that's does he mean from

149
00:08:15,880 --> 00:08:16,600
Speaker 2: the government?

150
00:08:18,160 --> 00:08:20,400
Speaker 1: It's not clear. Well, yeah, they often talk about, you know,

151
00:08:20,480 --> 00:08:24,400
Speaker 1: fifty percent taxes and that sort of thing to be redistributed.

152
00:08:24,440 --> 00:08:28,480
Speaker 1: But when AI presumably if it if it tracks it

153
00:08:28,600 --> 00:08:31,760
Speaker 1: all with the way the visionaries are saying it might

154
00:08:32,800 --> 00:08:36,560
Speaker 1: the big most capable AI companies will be much more

155
00:08:36,600 --> 00:08:39,839
Speaker 1: scary than the government, but don't what they can do.

156
00:08:39,960 --> 00:08:42,280
Speaker 1: And so if the government comes and says, yeah, you

157
00:08:42,320 --> 00:08:44,760
Speaker 1: got to pay fifty percent taxes, they'll say, no, I

158
00:08:44,760 --> 00:08:48,680
Speaker 1: think maybe thirty percent is of better number. And at

159
00:08:48,679 --> 00:08:53,360
Speaker 1: some point a major developed economy, a government will be

160
00:08:53,400 --> 00:08:55,960
Speaker 1: brought to its knees by an AI company that is

161
00:08:56,000 --> 00:08:58,559
Speaker 1: going to say, in effect, we're going to turn out

162
00:08:58,559 --> 00:09:00,800
Speaker 1: the lights if you don't, I'm around to our point

163
00:09:00,800 --> 00:09:01,400
Speaker 1: of view.

164
00:09:01,800 --> 00:09:04,480
Speaker 2: Even before we get to that, which you know, it's

165
00:09:04,520 --> 00:09:10,560
Speaker 2: not completely fanciful. Doesn't that seem like when Elon and

166
00:09:10,640 --> 00:09:13,680
Speaker 2: Jeff Bezos and others talk to us, it's like there

167
00:09:13,800 --> 00:09:16,720
Speaker 2: their feeling is like, how do you people not understand?

168
00:09:17,880 --> 00:09:20,560
Speaker 2: I mean, it's almost annoying to them that they have

169
00:09:20,640 --> 00:09:23,319
Speaker 2: to explain this, Like how do you not get how

170
00:09:23,360 --> 00:09:29,160
Speaker 2: wonderful this is gonna be? And are we just all

171
00:09:29,240 --> 00:09:34,320
Speaker 2: that much slower of mind than them that it doesn't

172
00:09:34,320 --> 00:09:37,800
Speaker 2: immediately dawn upon us this new age that's going to

173
00:09:37,840 --> 00:09:39,319
Speaker 2: be so wonderful.

174
00:09:39,679 --> 00:09:43,600
Speaker 1: Or we're not, we're more practical of mind. How's that

175
00:09:43,640 --> 00:09:47,960
Speaker 1: gonna work? I've watched government policy, I've watched taxation take place,

176
00:09:48,000 --> 00:09:49,520
Speaker 1: and redistribution of income.

177
00:09:50,600 --> 00:09:53,120
Speaker 2: Are are angels going to take over that task?

178
00:09:53,320 --> 00:09:56,840
Speaker 1: Because it looks wasteful and corrupt as hell from where

179
00:09:56,840 --> 00:09:59,040
Speaker 1: I sit, And we're just talking about making it even

180
00:09:59,280 --> 00:10:03,120
Speaker 1: bigger and more attractive to those who had built the system.

181
00:10:03,240 --> 00:10:08,120
Speaker 1: For instance, Well, here's a little upside of AI from

182
00:10:08,120 --> 00:10:11,600
Speaker 1: our friends at simply Save Home Security. Simply Safe is

183
00:10:11,640 --> 00:10:14,320
Speaker 1: not just a camera, it's a comprehensive ecosystem of sensors

184
00:10:14,559 --> 00:10:16,800
Speaker 1: cameras for inside and out. In twenty four to seven

185
00:10:16,840 --> 00:10:19,839
Speaker 1: professional monitoring the event of a breaking fire, flood, Simply

186
00:10:19,880 --> 00:10:23,720
Speaker 1: Safe agents are ready to take action and it's just

187
00:10:23,840 --> 00:10:27,000
Speaker 1: so fantastic. And it helps that it includes the AI

188
00:10:27,480 --> 00:10:30,480
Speaker 1: to alert the watchers that they need to watch your

189
00:10:30,480 --> 00:10:32,440
Speaker 1: house super closely right now.

190
00:10:32,840 --> 00:10:35,160
Speaker 2: Well in the future, because of AI, nobody will steal

191
00:10:35,160 --> 00:10:39,280
Speaker 2: from you, because everybody will have as many big screen

192
00:10:39,320 --> 00:10:43,680
Speaker 2: TVs and laptops as they want, I guess, But for now,

193
00:10:44,280 --> 00:10:46,200
Speaker 2: there are scumbags out there that are willing to break

194
00:10:46,200 --> 00:10:48,160
Speaker 2: into your house and take your stuff, and it's a

195
00:10:48,200 --> 00:10:50,160
Speaker 2: hell of a lot harder, practically impossible if you have

196
00:10:50,200 --> 00:10:52,800
Speaker 2: the simply Safe system that I have, and I have

197
00:10:52,880 --> 00:10:56,480
Speaker 2: it because I like it, not because I'm into a contract. No,

198
00:10:56,600 --> 00:10:58,679
Speaker 2: they earn your business every day at Simply Safe.

199
00:10:58,880 --> 00:11:01,600
Speaker 1: And I just went through the process of recustomizing a system,

200
00:11:01,600 --> 00:11:03,800
Speaker 1: and man, it is customed to you and your needs.

201
00:11:03,960 --> 00:11:05,920
Speaker 1: Right now, you good people can get fifty percent off

202
00:11:05,920 --> 00:11:08,800
Speaker 1: your new simply Safe system. Excuse me, it's simply safe

203
00:11:08,800 --> 00:11:12,000
Speaker 1: dot com slash armstrong. That's simply safe dot com slash Armstrong.

204
00:11:12,080 --> 00:11:13,560
Speaker 1: There's no safe like simply Safe.

205
00:11:14,160 --> 00:11:19,479
Speaker 2: I'm blown away by how I've not heard an explanation

206
00:11:19,559 --> 00:11:21,840
Speaker 2: out of any of these people that registers with me.

207
00:11:21,840 --> 00:11:24,400
Speaker 2: And maybe I'm just a dunce. Maybe it is just it's,

208
00:11:24,440 --> 00:11:27,360
Speaker 2: you know, they're trying to explain something difficult to a

209
00:11:27,440 --> 00:11:28,679
Speaker 2: dumb guy. Maybe that's it.

210
00:11:28,760 --> 00:11:31,000
Speaker 1: I don't know this jacket dunts will take your calls.

211
00:11:32,480 --> 00:11:34,840
Speaker 1: I'm calling right now for as long as they come.

212
00:11:35,000 --> 00:11:38,440
Speaker 1: Michael'll just keep butting them through. Ah No, no, not

213
00:11:38,520 --> 00:11:40,680
Speaker 1: at all, not at all. And again, these are the

214
00:11:40,800 --> 00:11:43,400
Speaker 1: practical matters that I don't think visionaries think of much,

215
00:11:43,679 --> 00:11:47,640
Speaker 1: especially if they are so insanely rich that it just

216
00:11:47,720 --> 00:11:52,400
Speaker 1: doesn't matter to them. They see and look, I didn't

217
00:11:52,440 --> 00:11:57,240
Speaker 1: want I don't want Leonardo da Vinci to spend all

218
00:11:57,280 --> 00:12:00,400
Speaker 1: of his time worrying about air traffic control as he's

219
00:12:00,440 --> 00:12:03,440
Speaker 1: inventing the hot air balloon or what have you, or

220
00:12:03,600 --> 00:12:07,439
Speaker 1: envisioning space. That's fine, be a visionary, that's what you do.

221
00:12:07,960 --> 00:12:12,320
Speaker 1: But here on earth, the greater the sum of money

222
00:12:12,400 --> 00:12:16,880
Speaker 1: changing hands, the greater incentive there is for corruption and waste.

223
00:12:17,679 --> 00:12:21,040
Speaker 1: And so to me, this all sounds like barring some

224
00:12:23,200 --> 00:12:27,440
Speaker 1: change in human nature, which ain't coming. Uh, We're looking

225
00:12:27,480 --> 00:12:33,640
Speaker 1: at an incredibly corrupt, wasteful, bizarre set of misplaced you know,

226
00:12:33,679 --> 00:12:37,360
Speaker 1: incentives and disincentives. Somebody draw me a picture.

227
00:12:38,200 --> 00:12:40,400
Speaker 2: Right, we might look back on this as the age

228
00:12:40,400 --> 00:12:44,480
Speaker 2: of equality compared to you know, highest inequality we've seen.

229
00:12:45,120 --> 00:12:49,720
Speaker 1: And again, if somebody has the ability computer and robotic

230
00:12:49,880 --> 00:12:54,120
Speaker 1: to accomplish virtually anything, and drones and the ability for

231
00:12:54,160 --> 00:12:56,920
Speaker 1: those robots to crank out one thousand and five drones

232
00:12:56,960 --> 00:12:59,640
Speaker 1: by noon today, who's gonna tell them?

233
00:12:59,720 --> 00:12:59,800
Speaker 3: No?

234
00:13:00,000 --> 00:13:05,760
Speaker 2: Oh? All right? I was kind of hoping that Bezos

235
00:13:05,760 --> 00:13:07,640
Speaker 2: would explain that to me in a way that I understood,

236
00:13:07,640 --> 00:13:10,320
Speaker 2: But I'm a dunce. I didn't get it. More on

237
00:13:10,360 --> 00:13:21,360
Speaker 2: the way, a couple of interesting things coming up. This

238
00:13:21,640 --> 00:13:28,520
Speaker 2: just broke. The Democrats have released their twenty twenty four

239
00:13:28,640 --> 00:13:35,080
Speaker 2: presidential campaign autopsy. So they did an internal autopsy of

240
00:13:35,080 --> 00:13:40,280
Speaker 2: what went wrong, why did they lose? And some people

241
00:13:40,320 --> 00:13:42,640
Speaker 2: wanted to make it public, and a lot of people

242
00:13:42,720 --> 00:13:44,599
Speaker 2: didn't want to make it public, thinking it would be

243
00:13:44,640 --> 00:13:47,720
Speaker 2: embarrassing or cause problems or whatever. Well, for whatever reason,

244
00:13:47,960 --> 00:13:50,320
Speaker 2: it has come out. The details aren't out yet, but

245
00:13:50,360 --> 00:13:52,480
Speaker 2: it came out in the Washington Post said this is

246
00:13:52,480 --> 00:13:55,439
Speaker 2: a developing story. So I would imagine I gotta believe

247
00:13:55,480 --> 00:13:57,760
Speaker 2: within an hour or two, the amount of time we

248
00:13:57,800 --> 00:13:59,800
Speaker 2: have left to be on the air, some of it's

249
00:13:59,800 --> 00:14:01,920
Speaker 2: going to come out. I gotta believe it's gonna be

250
00:14:02,160 --> 00:14:06,080
Speaker 2: really hard. I'm Kamala, but anyway, because I'm looking forward

251
00:14:06,120 --> 00:14:06,400
Speaker 2: to that.

252
00:14:07,800 --> 00:14:10,720
Speaker 1: The other angle of it is like they've it's come out,

253
00:14:10,800 --> 00:14:14,400
Speaker 1: and the DNC, which put it together is disavowing its

254
00:14:14,640 --> 00:14:15,400
Speaker 1: its contents.

255
00:14:15,440 --> 00:14:17,480
Speaker 2: Well yeah, people are already disavowing it. That's why I'm

256
00:14:17,480 --> 00:14:19,760
Speaker 2: so excited for the details to come out right right,

257
00:14:20,320 --> 00:14:24,160
Speaker 2: because it must be disavowable. The other political thing is

258
00:14:24,200 --> 00:14:26,840
Speaker 2: a big La mayoral race. It's getting so much attention

259
00:14:27,120 --> 00:14:30,680
Speaker 2: partially because those crazy a ads that that are so

260
00:14:30,720 --> 00:14:33,640
Speaker 2: good that Spencer Pratt's got on his side running against

261
00:14:33,640 --> 00:14:38,160
Speaker 2: Mayor Karen Bass. He did an interview why he explained

262
00:14:38,160 --> 00:14:40,760
Speaker 2: why he went from Democrat to Republican and it's pretty

263
00:14:40,760 --> 00:14:44,320
Speaker 2: interesting what made him change really interesting, actually, So we'll

264
00:14:44,320 --> 00:14:46,920
Speaker 2: get to that before this hour is up.

265
00:14:47,320 --> 00:14:51,080
Speaker 1: Plus some fascinating, troubling stuff about the San Diego mosque

266
00:14:51,080 --> 00:14:54,400
Speaker 1: shooting that you ain't gonna hear anywhere else.

267
00:14:54,920 --> 00:14:59,000
Speaker 2: In annoying human being news, Bruce Springsteen was on Stephen

268
00:14:59,000 --> 00:15:03,560
Speaker 2: Colbert last night. Stephen Colbert is brilliant and hilarious and

269
00:15:03,640 --> 00:15:07,480
Speaker 2: also very annoying. Politically, Bruce Springsteen is among the greatest

270
00:15:07,760 --> 00:15:12,840
Speaker 2: singer songwriter musicians in the history of music and politically annoying,

271
00:15:12,960 --> 00:15:15,200
Speaker 2: and they were both together last night, as this is

272
00:15:15,240 --> 00:15:17,000
Speaker 2: Stephen Colbert's last week of shows.

273
00:15:18,080 --> 00:15:24,080
Speaker 3: Hey, Steven, I'm here in support and I'm for Steven

274
00:15:24,240 --> 00:15:27,480
Speaker 3: because you're the first guy in America who's lost his

275
00:15:27,560 --> 00:15:29,360
Speaker 3: show because we got a president who.

276
00:15:29,160 --> 00:15:30,280
Speaker 2: Can't take a joke.

277
00:15:33,880 --> 00:15:38,880
Speaker 3: And uh and because because Hilariy and David Ellison feel

278
00:15:38,920 --> 00:15:41,080
Speaker 3: they need to kiss his ass to get what they want.

279
00:15:41,200 --> 00:15:42,000
Speaker 2: So these are.

280
00:15:46,000 --> 00:15:48,440
Speaker 3: Anyway, Steven, He's a small minded people who got no

281
00:15:48,520 --> 00:15:51,880
Speaker 3: idea what the freedoms of this beautiful country are supposed

282
00:15:52,280 --> 00:15:53,960
Speaker 3: to be about this is free.

283
00:15:56,480 --> 00:15:59,680
Speaker 2: So then what song did he play? You know, I

284
00:15:59,760 --> 00:16:01,120
Speaker 2: don't Gary Heart.

285
00:16:03,160 --> 00:16:06,600
Speaker 1: Streets of Minneapolis. I'm told it was Streets of Minneapolis.

286
00:16:06,920 --> 00:16:09,480
Speaker 2: Oh man, you know how I made it through that

287
00:16:09,520 --> 00:16:12,280
Speaker 2: song in the concert. So I had planned ahead of time.

288
00:16:12,320 --> 00:16:14,040
Speaker 2: When we entered Springsteen a couple of weeks ago, me

289
00:16:14,080 --> 00:16:15,840
Speaker 2: and the kids, we went to the bathroom. During the

290
00:16:15,880 --> 00:16:18,200
Speaker 2: long he comes out and sits down on the step

291
00:16:18,320 --> 00:16:21,240
Speaker 2: speech about America, and I knew I didn't want to

292
00:16:21,240 --> 00:16:23,600
Speaker 2: hear that, so we went to the bathroom. Loved the concert,

293
00:16:23,640 --> 00:16:25,920
Speaker 2: didn't want to hear the political talk anyway. During the

294
00:16:25,920 --> 00:16:29,400
Speaker 2: Streets of Minneapolis. As a wanna be musician, I spent

295
00:16:29,440 --> 00:16:31,880
Speaker 2: the whole time to figure trying to figure out how

296
00:16:31,960 --> 00:16:34,600
Speaker 2: is his guitar tuned? What are those chords he's playing?

297
00:16:34,640 --> 00:16:36,720
Speaker 2: I mean, so that got me through the song because

298
00:16:36,760 --> 00:16:39,320
Speaker 2: it's a well crafted tune. I just think the lyrics

299
00:16:39,360 --> 00:16:42,880
Speaker 2: are ridiculous. Yeah, I'd like to ask brus t Or

300
00:16:42,880 --> 00:16:44,440
Speaker 2: what is he doing? I can't even tell what that

301
00:16:44,520 --> 00:16:45,000
Speaker 2: chord is.

302
00:16:45,480 --> 00:16:48,120
Speaker 1: I'd like to ask Bruce in that moment that we

303
00:16:48,280 --> 00:16:51,200
Speaker 1: just heard, Hey, Bruce, if your tours were losing like

304
00:16:51,280 --> 00:16:54,120
Speaker 1: tens of millions of dollars every time you went out

305
00:16:54,120 --> 00:16:56,800
Speaker 1: on the road. Would you keep doing it? Now? He

306
00:16:56,960 --> 00:16:59,720
Speaker 1: might say, well, I'm so freaking rich, and I kind

307
00:16:59,720 --> 00:17:01,040
Speaker 1: of like playing with my friends that.

308
00:17:01,160 --> 00:17:01,480
Speaker 2: Yeah.

309
00:17:01,600 --> 00:17:03,720
Speaker 1: But if it weren't for that, he'd said, no, of

310
00:17:03,720 --> 00:17:07,240
Speaker 1: course not I No, I wouldn't. That was the problem

311
00:17:07,280 --> 00:17:09,639
Speaker 1: with how do you oh, you know what I answered

312
00:17:09,640 --> 00:17:13,320
Speaker 1: my own question earlier, how do you miss that the

313
00:17:13,359 --> 00:17:15,520
Speaker 1: fact that those shows are huge money losers. They no

314
00:17:15,560 --> 00:17:18,560
Speaker 1: longer generate the revenue, they're no longer the prestige, you know,

315
00:17:18,720 --> 00:17:21,320
Speaker 1: item that they used to be. It's because, Bruce, as

316
00:17:21,320 --> 00:17:24,040
Speaker 1: we discussed an hour one of the show, Right is

317
00:17:24,080 --> 00:17:27,280
Speaker 1: part of the left wing bubble. The what we're talking

318
00:17:27,280 --> 00:17:31,240
Speaker 1: about is that the most right wingy professions in America

319
00:17:31,359 --> 00:17:34,960
Speaker 1: are roughly two thirds right winging two thirds. So a

320
00:17:35,000 --> 00:17:38,040
Speaker 1: third of the folks in your field are Democrats, and

321
00:17:38,080 --> 00:17:39,439
Speaker 1: you hear their points of view, and you know them.

322
00:17:39,440 --> 00:17:43,679
Speaker 1: They're nice folks. But in democrat dominated fields, it's ninety

323
00:17:43,720 --> 00:17:47,000
Speaker 1: five percent. In the twenty five or so most dominated

324
00:17:47,040 --> 00:17:51,120
Speaker 1: by Democrats, ninety five percent. You don't know, the very

325
00:17:51,240 --> 00:17:54,960
Speaker 1: very few conservatives around are terrified to say anything, so

326
00:17:55,080 --> 00:17:57,399
Speaker 1: you never hear that point of view on the left.

327
00:17:57,600 --> 00:17:59,520
Speaker 1: The left is way more bubbled than the right.

328
00:18:01,000 --> 00:18:03,280
Speaker 2: So we're gonna learn more about the mosque shooters.

329
00:18:04,640 --> 00:18:08,480
Speaker 1: Yes, and the mosque, and there's a lot there. It

330
00:18:08,600 --> 00:18:15,040
Speaker 1: is a story rich with meaning and interest that you're

331
00:18:15,080 --> 00:18:16,240
Speaker 1: not hearing anywhere else.

332
00:18:16,680 --> 00:18:18,200
Speaker 2: Yeah, we've got a number of things are gonna be

333
00:18:18,200 --> 00:18:19,239
Speaker 2: really good this next half hour.

334
00:18:19,280 --> 00:18:21,840
Speaker 5: I hope you can stay here, Armstrong and Getty.

335
00:18:23,400 --> 00:18:25,840
Speaker 2: So this is kind of interesting. So we just heard

336
00:18:25,880 --> 00:18:28,399
Speaker 2: from Jeff Bezos a little bit ago. We were playing

337
00:18:28,440 --> 00:18:30,439
Speaker 2: that clip about AI and he throws in at the end,

338
00:18:30,680 --> 00:18:32,720
Speaker 2: if government doesn't get in a way with a bunch

339
00:18:32,720 --> 00:18:35,119
Speaker 2: of regulations that keeps us from being able to do this,

340
00:18:35,240 --> 00:18:39,520
Speaker 2: which is its own topic around AI. This is breaking news.

341
00:18:39,560 --> 00:18:44,560
Speaker 2: Governor Gavin Newsom just signed an executive order to explore

342
00:18:44,600 --> 00:18:50,800
Speaker 2: a broad overhaul of labor policies that would force AI

343
00:18:50,960 --> 00:18:55,080
Speaker 2: companies or various companies to keep employees rather than replace

344
00:18:55,160 --> 00:19:00,199
Speaker 2: them with AI. So the government's gonna force you to

345
00:19:00,359 --> 00:19:05,360
Speaker 2: keep your employees whether you need them or not, if

346
00:19:05,400 --> 00:19:09,080
Speaker 2: you start using AI. That's the sort of regulation Jeff

347
00:19:09,080 --> 00:19:11,240
Speaker 2: Bezos is talking about getting in the way of this

348
00:19:11,320 --> 00:19:16,400
Speaker 2: being able to accomplish what they think we could accomplish, unworkable, unconstitutional,

349
00:19:16,480 --> 00:19:19,439
Speaker 2: pandering nonsense. Maybe we'll get out to Yah have a

350
00:19:19,480 --> 00:19:22,919
Speaker 2: newsome I expect better. Wait, no, I don't. We'll get

351
00:19:22,960 --> 00:19:25,439
Speaker 2: into some more of the details of that later. You

352
00:19:25,520 --> 00:19:28,320
Speaker 2: may remember this happened just Monday morning.

353
00:19:28,680 --> 00:19:31,840
Speaker 6: Authorities have revealed the two shooters were wearing body armor

354
00:19:31,880 --> 00:19:35,639
Speaker 6: and camouflage, armed with shotguns, rifles, and handguns when they

355
00:19:35,720 --> 00:19:38,840
Speaker 6: stormed the Islamic center of San Diego, shooting and killing

356
00:19:38,920 --> 00:19:42,520
Speaker 6: three people, including a hero security guard. And they live

357
00:19:42,600 --> 00:19:45,400
Speaker 6: stream the attack using what appear to be helmet cameras.

358
00:19:46,480 --> 00:19:50,560
Speaker 1: So this is obviously a very serious topic, but there

359
00:19:50,560 --> 00:19:54,239
Speaker 1: are a number of really interesting aspects of it that

360
00:19:54,280 --> 00:19:57,320
Speaker 1: are being ignored by the mainstream media. Now. The first part,

361
00:19:57,359 --> 00:19:59,760
Speaker 1: obviously is not being ignored because they just referenced it.

362
00:19:59,760 --> 00:20:07,840
Speaker 1: There these confused, troubled young men who desired to commit suicide,

363
00:20:08,840 --> 00:20:12,560
Speaker 1: but like is the trend these days, thought, why don't

364
00:20:12,560 --> 00:20:15,840
Speaker 1: I attach myself to a cause. I've just come across

365
00:20:16,600 --> 00:20:19,840
Speaker 1: kill some people in the midst of my suicide, so

366
00:20:20,359 --> 00:20:24,400
Speaker 1: it matters, and maybe I get on TV. I think

367
00:20:24,480 --> 00:20:26,159
Speaker 1: is a pretty good description of what a lot of

368
00:20:26,160 --> 00:20:30,480
Speaker 1: these things are, which is just it's horrifying in its stupidity.

369
00:20:31,080 --> 00:20:34,600
Speaker 2: Oh, I know, I know, when you find out what

370
00:20:34,840 --> 00:20:38,040
Speaker 2: morons these people were, or how recently they came to

371
00:20:38,080 --> 00:20:42,040
Speaker 2: their moronic beliefs, the fact that people lose their lives

372
00:20:42,040 --> 00:20:43,880
Speaker 2: over that is almost too much to take.

373
00:20:44,359 --> 00:20:48,320
Speaker 1: Well, yeah, because indeed, if somebody interceded, or there's just

374
00:20:48,359 --> 00:20:50,880
Speaker 1: a twist of faith, they'd probably move on to something else,

375
00:20:51,080 --> 00:20:54,720
Speaker 1: you know, six weeks it like really into skateboarding. Anyway.

376
00:20:55,640 --> 00:21:00,480
Speaker 1: These guys indeed recorded with helmet cams. That appears in

377
00:21:00,520 --> 00:21:05,080
Speaker 1: the style of a first person shooter game. It appears

378
00:21:05,119 --> 00:21:08,520
Speaker 1: to show the perspective in one of the gunmen as

379
00:21:08,560 --> 00:21:11,959
Speaker 1: he storms the mosque, opens fire, steps over a fallen body.

380
00:21:11,960 --> 00:21:15,240
Speaker 1: At the videos end, the camera records the gunman raising

381
00:21:15,280 --> 00:21:17,879
Speaker 1: a pistol to his chin, then slumping forward in a

382
00:21:17,920 --> 00:21:25,000
Speaker 1: torrent of blood. It's been viewed many, many times and

383
00:21:25,080 --> 00:21:28,399
Speaker 1: chopped up and redistributed on the internet in the extremest

384
00:21:28,480 --> 00:21:30,560
Speaker 1: corners of the Internet. So how did it.

385
00:21:32,320 --> 00:21:34,960
Speaker 2: So somebody captured it before it all got taken down?

386
00:21:35,040 --> 00:21:35,159
Speaker 7: Is that?

387
00:21:35,200 --> 00:21:36,440
Speaker 2: How it's still floating around.

388
00:21:36,240 --> 00:21:38,680
Speaker 1: Out there and they're live streaming it and in that

389
00:21:38,800 --> 00:21:41,040
Speaker 1: part of the Internet. If you see something extreme like

390
00:21:41,080 --> 00:21:43,679
Speaker 1: that being live streamed, you capture it because you know

391
00:21:43,760 --> 00:21:47,520
Speaker 1: people will want to see it. It extends a pattern

392
00:21:47,560 --> 00:21:49,960
Speaker 1: of bloodshed inspired by the web, where in recent years

393
00:21:50,040 --> 00:21:52,760
Speaker 1: video recorded slayings had been live streamed on a Facebook

394
00:21:52,760 --> 00:21:55,280
Speaker 1: and Twitch, reposted on a YouTube and x and cut

395
00:21:55,400 --> 00:21:59,040
Speaker 1: into memes across Reddit and four Chan. The videos so

396
00:21:59,280 --> 00:22:01,240
Speaker 1: frequently site one another.

397
00:22:02,560 --> 00:22:03,800
Speaker 2: Yeah, this is an.

398
00:22:03,800 --> 00:22:07,239
Speaker 1: Understatement that they've raised fears from extremism experts that they

399
00:22:07,240 --> 00:22:13,040
Speaker 1: could motivate copycats could Clearly they do, and the manifesto

400
00:22:13,080 --> 00:22:17,360
Speaker 1: by these two teenage half wits were inspired. It says

401
00:22:17,400 --> 00:22:20,439
Speaker 1: they were inspired by the Australian gunman in twenty nineteen

402
00:22:20,480 --> 00:22:24,040
Speaker 1: who killed fifty one people around two mosques in New Zealand,

403
00:22:24,359 --> 00:22:28,640
Speaker 1: which you may remember, and he stringed that massacre live

404
00:22:28,760 --> 00:22:29,560
Speaker 1: on Facebook.

405
00:22:31,000 --> 00:22:35,879
Speaker 2: And in fact, in those communities they refer to that monster.

406
00:22:35,920 --> 00:22:37,920
Speaker 1: I'm not going to give his name, but they refer

407
00:22:38,000 --> 00:22:42,880
Speaker 1: to that monster as the guy with the high score. Ooh,

408
00:22:43,240 --> 00:22:43,840
Speaker 1: I am.

409
00:22:44,080 --> 00:22:52,800
Speaker 2: I'm disturbed by the notion that our minds aren't doing

410
00:22:52,840 --> 00:22:57,879
Speaker 2: a good job of separating online life from real life,

411
00:22:58,040 --> 00:23:02,080
Speaker 2: and it's practically like LARPing it's like LARPing with you

412
00:23:02,200 --> 00:23:03,720
Speaker 2: dead at the end and a whole bunch of other

413
00:23:03,720 --> 00:23:08,240
Speaker 2: people are dead at the end. But the reason it's

414
00:23:08,280 --> 00:23:11,040
Speaker 2: attractive to you is it doesn't seem any more or

415
00:23:11,160 --> 00:23:13,600
Speaker 2: less real than all the other stuff you see on

416
00:23:13,720 --> 00:23:14,119
Speaker 2: the line.

417
00:23:14,240 --> 00:23:21,199
Speaker 1: It's not right right, And I've actually read experts in

418
00:23:22,520 --> 00:23:26,760
Speaker 1: young human psychology talking about how because most young people

419
00:23:26,800 --> 00:23:32,479
Speaker 1: can't conceive of death or the end, they picture life

420
00:23:32,560 --> 00:23:38,000
Speaker 1: continuing after they're dead. But now everybody's been straightened out

421
00:23:38,280 --> 00:23:40,280
Speaker 1: in a way that seems ridiculous when you say it

422
00:23:40,320 --> 00:23:42,320
Speaker 1: out loud. But if you are every young I think

423
00:23:42,359 --> 00:23:46,440
Speaker 1: you know what I'm slash. They are driving it anyway like.

424
00:23:46,400 --> 00:23:48,840
Speaker 2: You're going to get to watch your funeral and all

425
00:23:48,880 --> 00:23:50,360
Speaker 2: the people be sad that you're.

426
00:23:50,200 --> 00:23:53,479
Speaker 1: Gone, right exactly, and you will just go about your

427
00:23:53,520 --> 00:23:57,320
Speaker 1: business wherever else in heaven or whatever. In your own mind,

428
00:23:57,359 --> 00:24:01,159
Speaker 1: it will continue in a way that's utterly unrealistic. But

429
00:24:01,200 --> 00:24:05,920
Speaker 1: I want to move on to something different. These guys

430
00:24:05,920 --> 00:24:09,520
Speaker 1: they're rambling. Seventy five page manifesto was like hate not everybody.

431
00:24:09,600 --> 00:24:12,760
Speaker 1: It was a teenage version of I'm a newly formed

432
00:24:12,760 --> 00:24:18,600
Speaker 1: bigot or something like that. But as hours passed, more

433
00:24:18,640 --> 00:24:21,240
Speaker 1: and more came out, not only about the shooters, but

434
00:24:21,359 --> 00:24:26,080
Speaker 1: about individuals associated with the mosque. On October twentieth, twenty

435
00:24:26,119 --> 00:24:29,560
Speaker 1: twenty three, for example, the mosque's emom declared in a

436
00:24:29,600 --> 00:24:33,280
Speaker 1: sermon that when people are occupied, then the resistance is justified,

437
00:24:34,000 --> 00:24:38,280
Speaker 1: talking about Palestinians. That same month, his wife posted a

438
00:24:38,280 --> 00:24:42,280
Speaker 1: gruesome meme of a star of David beheading babies along

439
00:24:42,320 --> 00:24:46,600
Speaker 1: the caption the devil is killing Archive. Facebook posts appear

440
00:24:46,720 --> 00:24:49,960
Speaker 1: to show the security guard who was killed while protecting

441
00:24:50,000 --> 00:24:52,680
Speaker 1: the congregation, and he's been hailed as a hero over

442
00:24:52,680 --> 00:24:56,359
Speaker 1: and over again. Right his Facebook posts show him praising

443
00:24:56,440 --> 00:24:59,119
Speaker 1: Hitler and writing that hell fire is waiting for the Jews,

444
00:24:59,320 --> 00:25:03,879
Speaker 1: all the Jews. These sentiments are abhorrent and poisonous to

445
00:25:03,920 --> 00:25:07,639
Speaker 1: a pluralistic democracy. They did nothing to diminish the immeasurable

446
00:25:07,640 --> 00:25:10,240
Speaker 1: weight of the crime rights This one says, to happen

447
00:25:10,359 --> 00:25:14,880
Speaker 1: to be a rabbi. But so you had a lot

448
00:25:14,920 --> 00:25:18,520
Speaker 1: of really brutal Islamist ugliness coming out of the mosque,

449
00:25:18,520 --> 00:25:21,080
Speaker 1: which in no way justifies slaughtering innocence. Uh.

450
00:25:21,920 --> 00:25:24,760
Speaker 2: And then there's a unity less of a hero for

451
00:25:24,800 --> 00:25:27,359
Speaker 2: giving your life to keep a bunch of school kids

452
00:25:27,359 --> 00:25:28,399
Speaker 2: from being shot. Either.

453
00:25:29,400 --> 00:25:32,639
Speaker 1: Yeah, yeah, it's funny you've referenced school kids. I'm not

454
00:25:33,400 --> 00:25:34,919
Speaker 1: was that what was going on?

455
00:25:35,040 --> 00:25:37,520
Speaker 2: It's a mosque and school and there were lots of

456
00:25:37,600 --> 00:25:39,879
Speaker 2: children there. Yeah, you haven't seen the video of the

457
00:25:39,960 --> 00:25:43,000
Speaker 2: kids holding the hands leaving the school one. Yeah.

458
00:25:43,080 --> 00:25:48,520
Speaker 1: Yeah. Anyway, So any morally sane person should unequivocally and

459
00:25:48,560 --> 00:25:52,000
Speaker 1: immediately condemn this senseless ass I would I would agree completely,

460
00:25:54,280 --> 00:25:56,320
Speaker 1: Yet in the aftermath of San Diego shooting, it was

461
00:25:56,359 --> 00:25:58,840
Speaker 1: all too easy to find idiocy and lunacy on display.

462
00:26:00,040 --> 00:26:04,240
Speaker 1: Laura Lumer, far right political activist and Trump ally tweeted

463
00:26:05,440 --> 00:26:08,640
Speaker 1: the shooting in California took place at a Jihati mosque

464
00:26:08,640 --> 00:26:12,000
Speaker 1: known for its hate preachers. This shooting was likely planned

465
00:26:12,040 --> 00:26:15,720
Speaker 1: by muslim and the Islamic lobby in America to spread

466
00:26:15,720 --> 00:26:20,480
Speaker 1: more Islamophobia laws and create sympathy for Islamic invaders in America.

467
00:26:21,680 --> 00:26:24,880
Speaker 1: It's a person with many, many, many, many followers, and

468
00:26:24,920 --> 00:26:30,920
Speaker 1: then let's see there was another one. Somebody else said

469
00:26:30,960 --> 00:26:38,080
Speaker 1: it was actually a false flag, something something, So immediately

470
00:26:38,080 --> 00:26:41,000
Speaker 1: everybody latched onto their side and how it was clearly

471
00:26:41,119 --> 00:26:43,880
Speaker 1: proof that you know, whatever is happening.

472
00:26:46,800 --> 00:26:53,480
Speaker 2: Yeah, a lot of craziness, a lot of ugliness. There's

473
00:26:53,520 --> 00:26:54,480
Speaker 2: your quote of the week.

474
00:26:54,920 --> 00:26:58,280
Speaker 1: Yeah, uh, this whole.

475
00:27:01,960 --> 00:27:07,359
Speaker 2: Talking to chatbots. It's what was that, the Turing test?

476
00:27:08,400 --> 00:27:10,760
Speaker 2: Maybe we have a Turing test beyond. Just like you

477
00:27:10,800 --> 00:27:14,639
Speaker 2: know a computer, you can't tell a computer for a

478
00:27:14,720 --> 00:27:19,760
Speaker 2: human like the next levels. You can't quite differentiate real

479
00:27:19,840 --> 00:27:24,440
Speaker 2: life from online life. So you like, you take things

480
00:27:24,440 --> 00:27:28,200
Speaker 2: from online into the real world and can't tell the difference, right,

481
00:27:28,240 --> 00:27:30,000
Speaker 2: and then people end up dead.

482
00:27:30,720 --> 00:27:32,320
Speaker 1: So I found the quote that I was looking for

483
00:27:32,359 --> 00:27:35,680
Speaker 1: to wrap this up. This this rabbi is writing talks

484
00:27:35,680 --> 00:27:39,440
Speaker 1: about the from the nineteen sixty three Sixteenth Street Baptist

485
00:27:39,560 --> 00:27:43,359
Speaker 1: Church bombing in Birmingham by the Klan to the Tree

486
00:27:43,400 --> 00:27:46,240
Speaker 1: of Life synagogue shooting in Pittsburgh that killed eleven and

487
00:27:46,320 --> 00:27:50,040
Speaker 1: injured eight. Here's the common thread. The strained American public

488
00:27:50,080 --> 00:27:52,800
Speaker 1: life remains alive and well, and for the past two

489
00:27:52,800 --> 00:27:55,439
Speaker 1: and a half years, in particular, since the October seventh,

490
00:27:55,480 --> 00:28:01,040
Speaker 1: horrifyingly public discourse has grown increasingly comfortable with slogans that

491
00:28:01,119 --> 00:28:04,359
Speaker 1: sanctify violence in the name of justice. The streets have

492
00:28:04,480 --> 00:28:07,800
Speaker 1: rung with phrases like resistance is justified and long lived

493
00:28:07,800 --> 00:28:12,480
Speaker 1: the Intifada. Slogan's predicated on the idea that violence, including

494
00:28:12,560 --> 00:28:17,240
Speaker 1: mass violence against religious communities, can be explained away, even celebrated,

495
00:28:17,480 --> 00:28:22,280
Speaker 1: if it's victims are sufficiently condemnable, which is what we

496
00:28:22,320 --> 00:28:24,800
Speaker 1: got out of those half wits at the Louis Luigi

497
00:28:24,840 --> 00:28:31,359
Speaker 1: Mangioni trial as well. Slogans predicated on the idea that violence,

498
00:28:31,680 --> 00:28:35,040
Speaker 1: even mass violence, can be celebrated if it's victims are

499
00:28:35,080 --> 00:28:36,640
Speaker 1: sufficiently condemnable.

500
00:28:37,440 --> 00:28:41,560
Speaker 2: It's pretty that doesn't take you good places, no, sir.

501
00:28:41,760 --> 00:28:47,280
Speaker 1: No, it doesn't. A more life affirming noe. Ironically from

502
00:28:47,280 --> 00:28:49,440
Speaker 1: our friends at Trust and Will, you want to do

503
00:28:49,480 --> 00:28:52,160
Speaker 1: the right thing for the people you care about, even

504
00:28:52,240 --> 00:28:54,480
Speaker 1: after you're gone, and you don't want to leave them

505
00:28:54,520 --> 00:28:58,600
Speaker 1: embroiled in a bitter fight over who raises your children.

506
00:28:58,680 --> 00:29:01,960
Speaker 1: God forbid, where your money goes, where your assets go,

507
00:29:02,080 --> 00:29:04,840
Speaker 1: that sort of thing, because probate's a nightmare. Trust and

508
00:29:04,880 --> 00:29:07,280
Speaker 1: Will makes it easy to do the right thing. Trust

509
00:29:07,280 --> 00:29:10,120
Speaker 1: and Will offers affordable attorney designed to state plans online

510
00:29:10,120 --> 00:29:12,360
Speaker 1: that you can create, and as little as thirty minutes.

511
00:29:12,720 --> 00:29:14,840
Speaker 2: Yep, And as little as thirty minutes, you can create

512
00:29:14,840 --> 00:29:18,160
Speaker 2: a will that does document who's gonna take your kids

513
00:29:18,200 --> 00:29:20,400
Speaker 2: so they don't end up in the care of the state.

514
00:29:21,320 --> 00:29:23,480
Speaker 2: Where's your money going, who's getting how much of what

515
00:29:23,880 --> 00:29:27,360
Speaker 2: healthcare planning that you need to have? Yeah, in thirty minutes,

516
00:29:27,360 --> 00:29:29,520
Speaker 2: you could get started on this, this big project you've

517
00:29:29,520 --> 00:29:33,840
Speaker 2: been putting off because it seems so you know, intimidating.

518
00:29:34,400 --> 00:29:37,240
Speaker 2: Get started, and then if you need attorney support, that's

519
00:29:37,240 --> 00:29:38,960
Speaker 2: available as an add on to your plan if it

520
00:29:38,960 --> 00:29:40,200
Speaker 2: gets more complicated.

521
00:29:40,480 --> 00:29:43,400
Speaker 1: Trust and Will affordable state plans, priceless peace of mind.

522
00:29:43,440 --> 00:29:45,760
Speaker 1: Go to Trust and Will dot com slash armstrong get

523
00:29:45,760 --> 00:29:49,800
Speaker 1: twenty percent off. Nice slurring there, I'm visibly intoxicated. That's

524
00:29:49,840 --> 00:29:54,280
Speaker 1: Trustinwill dot com slash armstrong. Trust and Will dot com

525
00:29:54,320 --> 00:29:56,840
Speaker 1: slash armstrong. I have to drink to get through our

526
00:29:56,880 --> 00:29:57,760
Speaker 1: previous discussion.

527
00:29:58,240 --> 00:30:03,240
Speaker 2: Visibly intoxicated. Oh yeah, and knee walking drunk. See, if

528
00:30:03,280 --> 00:30:11,480
Speaker 2: you're moving, the visible part would be stumbling, swerving. You're

529
00:30:11,480 --> 00:30:12,520
Speaker 2: standing perfectly still.

530
00:30:12,560 --> 00:30:15,120
Speaker 1: The visible would have to be swaying back and forth,

531
00:30:15,560 --> 00:30:21,120
Speaker 1: glassy eyes, blank expression. Well you know the look.

532
00:30:22,080 --> 00:30:29,480
Speaker 2: Yes, I've seen it in the mirror. Visibly drunk. I

533
00:30:29,520 --> 00:30:31,360
Speaker 2: don't think I've ever said that to myself looking in

534
00:30:31,360 --> 00:30:35,800
Speaker 2: the mirror or audibly drunk. Good lord, you're visibly drunk.

535
00:30:38,560 --> 00:30:43,480
Speaker 2: Maybe that's your goal for Memorial Day weekend. Yikes, no, no,

536
00:30:44,720 --> 00:30:47,560
Speaker 2: I ordered some hamburger buns, hamburgers, hot dogs, hot dog buns.

537
00:30:47,560 --> 00:30:49,160
Speaker 2: I'm getting ready for the Memorial Day weekend.

538
00:30:49,480 --> 00:30:51,200
Speaker 1: That's so smart. I need to do the same.

539
00:30:51,400 --> 00:30:53,920
Speaker 2: Do you have any idea why a hot dog is

540
00:30:54,000 --> 00:30:55,200
Speaker 2: so much better on the grill?

541
00:30:57,960 --> 00:31:02,920
Speaker 1: Man kind of what marmalizes this and that, so it

542
00:31:02,960 --> 00:31:05,600
Speaker 1: turns certain things into sugars in a way that blah

543
00:31:05,640 --> 00:31:07,640
Speaker 1: blah blah, but it doesn't promise.

544
00:31:07,680 --> 00:31:09,840
Speaker 2: I'm not a chef, but because we had been like

545
00:31:09,880 --> 00:31:12,160
Speaker 2: in the wintertime, cooking them and split them in half,

546
00:31:12,200 --> 00:31:14,960
Speaker 2: cook them in a pan, so good. They're good, but

547
00:31:15,000 --> 00:31:17,680
Speaker 2: they're not near as good as on the open flame.

548
00:31:18,320 --> 00:31:19,000
Speaker 1: I would agree.

549
00:31:19,160 --> 00:31:20,480
Speaker 2: We were all talking about this the other night. We

550
00:31:20,520 --> 00:31:22,160
Speaker 2: made them on the open flame. We hadn't for a while,

551
00:31:22,120 --> 00:31:26,040
Speaker 2: and it's just like this is a different thing. They're delicious. Yeah,

552
00:31:26,040 --> 00:31:26,440
Speaker 2: I need to.

553
00:31:26,440 --> 00:31:31,200
Speaker 1: Come up with Getty's scale or algorithm or something. I've

554
00:31:31,200 --> 00:31:34,160
Speaker 1: talked about this before. I slaved and slaved and slaved

555
00:31:34,160 --> 00:31:36,160
Speaker 1: over meal once for a family reunion, and it was

556
00:31:36,240 --> 00:31:39,080
Speaker 1: quite good, but I mean it was an unbelievable amount

557
00:31:39,080 --> 00:31:41,320
Speaker 1: of work. And then the next day I think we

558
00:31:41,360 --> 00:31:44,160
Speaker 1: had hamburgers on the grill and I thought, oh, this

559
00:31:44,200 --> 00:31:47,560
Speaker 1: took a tenth of the time and it's like seventy

560
00:31:47,680 --> 00:31:50,680
Speaker 1: nine to eighty five percent as yummy.

561
00:31:51,200 --> 00:31:53,880
Speaker 2: Yeah, I'm never going to oh or having hamburgers on

562
00:31:53,920 --> 00:31:56,160
Speaker 2: the grill. I'm never ever gonna say that.

563
00:31:57,800 --> 00:31:59,920
Speaker 1: Oh, to make sure you slice up some onion for me.

564
00:32:00,160 --> 00:32:01,080
Speaker 1: Love that onion.

565
00:32:01,680 --> 00:32:03,600
Speaker 2: And I can't do onion if it eats a hole

566
00:32:03,640 --> 00:32:04,320
Speaker 2: in my stomach.

567
00:32:05,440 --> 00:32:06,120
Speaker 1: That's not good.

568
00:32:06,480 --> 00:32:11,120
Speaker 2: Ketchup mustard though, So it's the slice algorithm will be

569
00:32:11,240 --> 00:32:12,600
Speaker 2: effort to deliciousness.

570
00:32:12,760 --> 00:32:15,440
Speaker 1: Yes, and you'll see the score. That's a seventy two.

571
00:32:15,720 --> 00:32:16,720
Speaker 1: That's not good enough.

572
00:32:18,080 --> 00:32:19,000
Speaker 2: It's too much work.

573
00:32:19,080 --> 00:32:20,320
Speaker 1: Screw it, Let's have a burger.

574
00:32:21,000 --> 00:32:24,480
Speaker 2: Maybe we can get to the details around the first

575
00:32:24,480 --> 00:32:26,960
Speaker 2: state in the nation trying to take on layoffs because

576
00:32:27,000 --> 00:32:29,680
Speaker 2: of AI, which is gonna be like a big news

577
00:32:29,760 --> 00:32:32,360
Speaker 2: story over the next couple of years. Anyway, that other

578
00:32:32,400 --> 00:32:33,240
Speaker 2: stuff on the way.

579
00:32:33,120 --> 00:32:45,040
Speaker 7: To When I say comprehensive healthcare, it's actually what people

580
00:32:45,080 --> 00:32:48,200
Speaker 7: can get from medical The problem is is that the

581
00:32:48,280 --> 00:32:54,360
Speaker 7: linkage isn't made with the people and the services in well,

582
00:32:54,600 --> 00:32:57,480
Speaker 7: we already pay for it. It's already paid for. It's

583
00:32:57,520 --> 00:32:59,360
Speaker 7: the linkage that hasn't happened.

584
00:32:59,400 --> 00:33:02,400
Speaker 2: That was that whole conversation about dental care because the mayor,

585
00:33:02,760 --> 00:33:06,000
Speaker 2: current mayor of Los Angeles, Karen Bass, kind of stepped

586
00:33:06,000 --> 00:33:08,280
Speaker 2: in it the other day when she gave her she's

587
00:33:08,320 --> 00:33:10,520
Speaker 2: always she's one of those people that smiles all the time.

588
00:33:10,720 --> 00:33:14,000
Speaker 2: People like that kind of weird me out. Oh yeah,

589
00:33:14,200 --> 00:33:16,600
Speaker 2: but she finds all the time on how we've got it.

590
00:33:16,640 --> 00:33:19,880
Speaker 2: We gotta get free. Uh, we gotta get teeth for

591
00:33:19,960 --> 00:33:24,680
Speaker 2: the untoothed, because uh, you do math, you lose your teeth,

592
00:33:24,720 --> 00:33:25,680
Speaker 2: and how are you gonna go out and get a

593
00:33:25,760 --> 00:33:27,320
Speaker 2: job and you got no teeth? How you gonna go?

594
00:33:27,560 --> 00:33:29,719
Speaker 1: Tax bars gotta buy meth mouth teeth.

595
00:33:29,960 --> 00:33:32,680
Speaker 2: Yes, so the rest of us are responsible to put

596
00:33:32,680 --> 00:33:35,080
Speaker 2: teeth in the mouth of people who did meth so

597
00:33:35,320 --> 00:33:38,320
Speaker 2: long that they lost all their teeth. That's my job,

598
00:33:38,480 --> 00:33:41,000
Speaker 2: that's my responsibility out to make sure you got teeth

599
00:33:41,040 --> 00:33:42,800
Speaker 2: you can go get a job. And of course it

600
00:33:42,880 --> 00:33:45,719
Speaker 2: goes beyond without without even saying that. Of course, if

601
00:33:45,720 --> 00:33:47,640
Speaker 2: you give them meth head teeth. The first thing they're

602
00:33:47,640 --> 00:33:49,200
Speaker 2: gonna do is clean up their act, get a job,

603
00:33:49,240 --> 00:33:51,600
Speaker 2: and go be a productive member of society. The only

604
00:33:51,600 --> 00:33:53,840
Speaker 2: thought you're a little Give a meth head teeth and

605
00:33:53,880 --> 00:33:54,880
Speaker 2: they'll chew for a day.

606
00:33:55,080 --> 00:33:56,920
Speaker 1: Give them method. I don't know how to end it.

607
00:33:59,080 --> 00:34:02,560
Speaker 2: Anyway. I was just thinking about how because we're on

608
00:34:02,640 --> 00:34:04,280
Speaker 2: all over the country, and I was just thinking about,

609
00:34:04,280 --> 00:34:06,080
Speaker 2: you know, the number of people that have any interest

610
00:34:06,080 --> 00:34:08,880
Speaker 2: in the mayoral race in Los Angeles my whole life.

611
00:34:08,960 --> 00:34:12,080
Speaker 2: I grew up in the rural Midwest. I've known who

612
00:34:12,160 --> 00:34:14,480
Speaker 2: was the mayor of New York at every point in

613
00:34:14,520 --> 00:34:18,799
Speaker 2: my life since I was six years old. Because you know,

614
00:34:19,040 --> 00:34:21,200
Speaker 2: media all comes out of New York and late night

615
00:34:21,320 --> 00:34:23,840
Speaker 2: jokes and TV shows and everything like that. The number

616
00:34:23,880 --> 00:34:27,640
Speaker 2: two city in America, LA not near as much. It's

617
00:34:27,640 --> 00:34:31,279
Speaker 2: a big deal anyhow. One of the reasons this is

618
00:34:31,280 --> 00:34:34,520
Speaker 2: getting so much attention is he got this former reality star,

619
00:34:34,640 --> 00:34:39,959
Speaker 2: Spencer Pratt running as a Republican against the current mayor,

620
00:34:39,960 --> 00:34:41,759
Speaker 2: and he got all the homelessness problems and the meth

621
00:34:41,760 --> 00:34:43,239
Speaker 2: heads and all the stuff that we've talked about a

622
00:34:43,239 --> 00:34:46,400
Speaker 2: lot with California and Los Angeles. But then the ads

623
00:34:46,400 --> 00:34:48,600
Speaker 2: he's putting out that are so good. But I've never

624
00:34:48,680 --> 00:34:54,479
Speaker 2: heard this story. This is Spencer Pratt, lifelong Democrat, reality star,

625
00:34:54,640 --> 00:34:57,920
Speaker 2: why he became a Republican. Why are you a Republican?

626
00:34:58,840 --> 00:35:01,680
Speaker 5: Well, you want to break some news here?

627
00:35:01,840 --> 00:35:02,160
Speaker 2: Sure?

628
00:35:02,760 --> 00:35:05,880
Speaker 8: When I was a hated reality star, yeah, I got

629
00:35:05,920 --> 00:35:06,960
Speaker 8: so many death threats.

630
00:35:07,320 --> 00:35:09,880
Speaker 5: I had so much security and police, and what did

631
00:35:09,920 --> 00:35:13,239
Speaker 5: they tell me to do? Get a gun? This is real.

632
00:35:13,320 --> 00:35:15,800
Speaker 5: I know people don't like guns, but LA was dangerous

633
00:35:15,800 --> 00:35:16,360
Speaker 5: if you're hated.

634
00:35:16,640 --> 00:35:19,160
Speaker 8: So I got a gun, my wife got a gun,

635
00:35:19,560 --> 00:35:21,440
Speaker 8: and then we needed ccw's.

636
00:35:22,239 --> 00:35:26,840
Speaker 5: The only people that supported a CCW was the Republican.

637
00:35:27,200 --> 00:35:30,000
Speaker 8: That was what I aligned with my safety, my personal

638
00:35:30,080 --> 00:35:32,680
Speaker 8: saving my family's safety. I know people don't like guns,

639
00:35:32,880 --> 00:35:34,680
Speaker 8: but when people are threatening your life and your own

640
00:35:34,719 --> 00:35:38,120
Speaker 8: security is telling you you need to have home protection

641
00:35:38,360 --> 00:35:40,160
Speaker 8: train to It's not like just I went.

642
00:35:40,120 --> 00:35:42,320
Speaker 5: To the you know, go through the proper steps.

643
00:35:42,840 --> 00:35:43,560
Speaker 1: That was my.

644
00:35:45,280 --> 00:35:45,560
Speaker 5: That's it.

645
00:35:46,800 --> 00:35:50,960
Speaker 2: That's pretty damned interesting. So, first of all, I never

646
00:35:51,040 --> 00:35:55,759
Speaker 2: followed his reality star period, but he played the heel,

647
00:35:56,520 --> 00:36:00,480
Speaker 2: which every reality show needs to have one people love

648
00:36:00,520 --> 00:36:02,560
Speaker 2: to hate, and he took on that role. Then he

649
00:36:02,640 --> 00:36:04,680
Speaker 2: ended up with death threats for him and his wife. Decided.

650
00:36:04,719 --> 00:36:06,880
Speaker 2: Then the cops said, we'll get a gun. That's what

651
00:36:06,880 --> 00:36:08,600
Speaker 2: I would do a fire here that it is hard

652
00:36:08,600 --> 00:36:12,400
Speaker 2: to get a CCW because in your blue states and cities,

653
00:36:12,800 --> 00:36:15,520
Speaker 2: the criminals get to have guns, and then if they

654
00:36:15,719 --> 00:36:18,360
Speaker 2: use the gun, you don't charge them any of the

655
00:36:18,400 --> 00:36:20,200
Speaker 2: gun laws that exist.

656
00:36:19,960 --> 00:36:22,520
Speaker 1: For some, certainly if they're not a bipock person.

657
00:36:22,640 --> 00:36:25,719
Speaker 2: Right. But if you're a tax paying citizen and you

658
00:36:25,880 --> 00:36:29,360
Speaker 2: want a gun and you've got no history of violence whatsoever,

659
00:36:29,520 --> 00:36:31,960
Speaker 2: I'm gonna make it incredibly difficult for you to have

660
00:36:32,000 --> 00:36:32,359
Speaker 2: a gun.

661
00:36:33,400 --> 00:36:36,400
Speaker 1: The authorities will tell you do nothing to protect yourself.

662
00:36:36,800 --> 00:36:39,320
Speaker 1: The authorities will protect you, and then of course they don't,

663
00:36:39,480 --> 00:36:40,520
Speaker 1: not at all anyway.

664
00:36:40,560 --> 00:36:43,480
Speaker 2: And that's what turned him into a Republican. Hmmm. A

665
00:36:43,520 --> 00:36:46,400
Speaker 2: Democrat who's been mugged by reality. That's a Republican.

666
00:36:47,120 --> 00:36:50,640
Speaker 1: Yeah. Yeah, the party that says, yes, you have the

667
00:36:50,719 --> 00:36:53,680
Speaker 1: right to defend yourself, that's the one for me, he says,

668
00:36:54,400 --> 00:36:58,000
Speaker 1: not surprisingly. Man, I want to get to that. D

669
00:36:58,200 --> 00:37:01,920
Speaker 1: nc's self author Topsy of the twenty twenty four race

670
00:37:02,400 --> 00:37:03,600
Speaker 1: can't wait to hear about that.

671
00:37:04,080 --> 00:37:06,120
Speaker 2: Yeah, we got a bunch of stuff we can get

672
00:37:06,160 --> 00:37:10,719
Speaker 2: to coming up. So first attempt at laws to keep

673
00:37:10,760 --> 00:37:13,919
Speaker 2: you from losing your job because of AI. I don't

674
00:37:13,960 --> 00:37:15,600
Speaker 2: see how that's possibly gonna work.

675
00:37:17,200 --> 00:37:17,680
Speaker 1: It won't.

676
00:37:18,719 --> 00:37:21,279
Speaker 2: Yeah, if you miss the second short podcast, Armstrong and

677
00:37:21,320 --> 00:37:22,400
Speaker 2: Getty on demand

678
00:37:24,800 --> 00:37:26,000
Speaker 1: Armstrong and Getty