WEBVTT

1
00:00:00.760 --> 00:00:04.120
<v Speaker 1>You're listenings camp I AM six forty the Bill Handles

2
00:00:04.120 --> 00:00:10.320
<v Speaker 1>show on demand on the iHeartRadio APPMI AM six forty Chaco, Tuesday,

3
00:00:10.759 --> 00:00:16.359
<v Speaker 1>February twenty five, As we continue on with our show,

4
00:00:17.359 --> 00:00:21.120
<v Speaker 1>Mike Dubuski, ABC News Technology reporter with us this morning.

5
00:00:21.440 --> 00:00:25.039
<v Speaker 1>It is a Tech Tuesday. Good morning, Mike.

6
00:00:25.760 --> 00:00:27.320
<v Speaker 2>Good morning, Happy tex Tuesday.

7
00:00:27.920 --> 00:00:31.280
<v Speaker 1>Yeah, I'm always a pleasure. Okay. A story about Apple

8
00:00:31.800 --> 00:00:37.079
<v Speaker 1>and when Apple invests, it's generally not forty six dollars,

9
00:00:37.119 --> 00:00:41.719
<v Speaker 1>it's some big dollars. And in this case, five billion dollars.

10
00:00:41.719 --> 00:00:42.520
<v Speaker 1>What's that about?

11
00:00:43.399 --> 00:00:46.439
<v Speaker 2>Yeah, half a trillion dollars. You're absolutely right that Apple

12
00:00:46.600 --> 00:00:49.640
<v Speaker 2>is not making investments to the tune of like scratch

13
00:00:49.679 --> 00:00:53.560
<v Speaker 2>off cards there anything like that. These are high dollar investments,

14
00:00:53.840 --> 00:00:58.840
<v Speaker 2>specifically in American tech infrastructure, and what that essentially means

15
00:00:59.000 --> 00:01:02.759
<v Speaker 2>is that they are in part building actual infrastructure. They

16
00:01:02.799 --> 00:01:05.280
<v Speaker 2>are building a factory in Texas that is designed to

17
00:01:05.280 --> 00:01:08.280
<v Speaker 2>make AI servers, they say, But they're also going to

18
00:01:08.280 --> 00:01:10.760
<v Speaker 2>go on a hiring spree. They plan to hire about

19
00:01:10.799 --> 00:01:14.000
<v Speaker 2>twenty thousand new employees over the course of the next

20
00:01:14.040 --> 00:01:16.640
<v Speaker 2>four years. Those employees are going to be focused on

21
00:01:16.760 --> 00:01:21.760
<v Speaker 2>research and development, silicon investing, and of course artificial intelligence,

22
00:01:21.760 --> 00:01:24.200
<v Speaker 2>which is exactly what this is all about. This is

23
00:01:24.239 --> 00:01:27.719
<v Speaker 2>a major bet on the future of AI. Apple has

24
00:01:27.760 --> 00:01:31.319
<v Speaker 2>their own branding for their generative artificial intelligence tools called

25
00:01:31.359 --> 00:01:34.959
<v Speaker 2>Apple Intelligence. This seems to be the technology, the sort

26
00:01:35.000 --> 00:01:38.280
<v Speaker 2>of back end stuff that's going to underpin the future

27
00:01:38.439 --> 00:01:39.560
<v Speaker 2>of Apple Intelligence.

28
00:01:40.040 --> 00:01:44.719
<v Speaker 1>Now, when you talk about servers and building servers and

29
00:01:44.799 --> 00:01:49.000
<v Speaker 1>these huge warehouses, I mean we're talking hundreds of thousands

30
00:01:49.000 --> 00:01:53.000
<v Speaker 1>of dollars, one hundred thousands of square feet jammed full

31
00:01:53.040 --> 00:01:56.719
<v Speaker 1>of computer gear and takes enormous amount of energy and

32
00:01:56.879 --> 00:02:02.040
<v Speaker 1>incredible air conditioning systems. Are they building those at a

33
00:02:02.400 --> 00:02:05.640
<v Speaker 1>rapid rate? Because what the Internet is growing, or it

34
00:02:05.799 --> 00:02:09.080
<v Speaker 1>was growing astronomically, has that slowed down? And is that

35
00:02:09.159 --> 00:02:11.199
<v Speaker 1>building still going up? That kind of building?

36
00:02:12.240 --> 00:02:14.639
<v Speaker 2>Yeah, what you're talking about. There are data centers which

37
00:02:14.680 --> 00:02:19.400
<v Speaker 2>are increasingly becoming these really central pieces of the tech

38
00:02:19.520 --> 00:02:22.400
<v Speaker 2>puzzle in the United States. And what the data center

39
00:02:22.560 --> 00:02:25.520
<v Speaker 2>is is essentially, like you said, a big building full

40
00:02:25.560 --> 00:02:29.560
<v Speaker 2>of computer servers, just a big sort of warehouse style thing.

41
00:02:29.879 --> 00:02:32.439
<v Speaker 2>Not many people in a security guard, a couple of

42
00:02:32.439 --> 00:02:36.919
<v Speaker 2>technical officials. But companies can to those buildings and say, hey,

43
00:02:37.000 --> 00:02:39.479
<v Speaker 2>I want a row of computers, or I want this

44
00:02:39.520 --> 00:02:42.479
<v Speaker 2>little neighborhood of computer servers, I'm going to rent that out.

45
00:02:42.879 --> 00:02:45.719
<v Speaker 2>And these data center companies basically act as landlords and

46
00:02:45.759 --> 00:02:47.599
<v Speaker 2>they say, yeah, you can have this for this price,

47
00:02:47.879 --> 00:02:50.560
<v Speaker 2>and then you get all this computing power. The reason

48
00:02:50.759 --> 00:02:53.280
<v Speaker 2>for that is because when you open an app on

49
00:02:53.319 --> 00:02:55.439
<v Speaker 2>your phone or you try to run a program on

50
00:02:55.479 --> 00:02:59.439
<v Speaker 2>your computer, oftentimes it's not your computer or your phone

51
00:02:59.439 --> 00:03:03.039
<v Speaker 2>that's actually running that technology. They're offloading some of that

52
00:03:03.199 --> 00:03:07.120
<v Speaker 2>work to these data centers, in part because the programs

53
00:03:07.120 --> 00:03:10.560
<v Speaker 2>that we rely on every day are just so computer intensive,

54
00:03:10.639 --> 00:03:14.319
<v Speaker 2>just so energy intensive. So that's why these data centers

55
00:03:14.360 --> 00:03:20.400
<v Speaker 2>are important. And arctual intelligence generative AI is very computer

56
00:03:20.520 --> 00:03:23.759
<v Speaker 2>intensive to a degree that we really have before with

57
00:03:23.960 --> 00:03:28.680
<v Speaker 2>other existing technologies. So these data centers are becoming really important.

58
00:03:28.800 --> 00:03:32.039
<v Speaker 2>And with Apple's five hundred billion dollar investment, part of

59
00:03:32.080 --> 00:03:34.879
<v Speaker 2>that money is going to this factory to build these

60
00:03:34.919 --> 00:03:38.919
<v Speaker 2>AI servers in partnership with this Taiwanese firm called fox Con.

61
00:03:39.439 --> 00:03:41.680
<v Speaker 2>These are the servers that are going to go into

62
00:03:41.759 --> 00:03:44.960
<v Speaker 2>data centers that are springing up across the country. So

63
00:03:45.479 --> 00:03:47.599
<v Speaker 2>that's kind of the idea here. Some of these data

64
00:03:47.599 --> 00:03:51.719
<v Speaker 2>centers are owned and operated by companies whole cloths, Apple, Microsoft,

65
00:03:51.759 --> 00:03:54.479
<v Speaker 2>Google all have their own, but there's also like third

66
00:03:54.479 --> 00:03:57.599
<v Speaker 2>party data centers that are kind of like the landlords. Right.

67
00:03:57.639 --> 00:04:00.879
<v Speaker 2>They offer the energy, they offer the air conditioning, and

68
00:04:00.919 --> 00:04:03.280
<v Speaker 2>then you, as the tech company, go in and place

69
00:04:03.319 --> 00:04:05.639
<v Speaker 2>your own computers kind of where you want them. So

70
00:04:05.840 --> 00:04:07.879
<v Speaker 2>it's a really interesting piece of the sort of back

71
00:04:08.000 --> 00:04:11.159
<v Speaker 2>end of the American tech infrastructure, and one that clearly

72
00:04:11.199 --> 00:04:14.080
<v Speaker 2>is coming into clear focus with Apple's half a trillion

73
00:04:14.080 --> 00:04:17.800
<v Speaker 2>dollar investment and also similar investments from companies like open Ai.

74
00:04:18.120 --> 00:04:21.360
<v Speaker 1>All right, so Apple, Well, I'll talk about Amazon in

75
00:04:21.360 --> 00:04:24.639
<v Speaker 1>a minute, because that's our next segment. But when you

76
00:04:24.680 --> 00:04:27.720
<v Speaker 1>tech about these data centers, is it like a clearing

77
00:04:27.839 --> 00:04:31.279
<v Speaker 1>house of information, much like you have a clearing house

78
00:04:31.319 --> 00:04:34.879
<v Speaker 1>of banking. The Swift system where everybody comes together and

79
00:04:34.920 --> 00:04:37.560
<v Speaker 1>then the money flows out under Swift is the same

80
00:04:37.560 --> 00:04:38.480
<v Speaker 1>thing happening here.

81
00:04:39.839 --> 00:04:42.319
<v Speaker 2>So it depends, right, It depends on what the data

82
00:04:42.319 --> 00:04:44.879
<v Speaker 2>center is used for. As we said, some companies own

83
00:04:44.879 --> 00:04:48.439
<v Speaker 2>their own use them for the purposes. For example, some

84
00:04:48.600 --> 00:04:52.279
<v Speaker 2>data centers might be just used for cloud computing at Google, right,

85
00:04:52.319 --> 00:04:55.600
<v Speaker 2>they might be used to underpin Google drive. Similarly, Apple

86
00:04:55.680 --> 00:04:59.079
<v Speaker 2>might use the data center to underpin iCloud or Apple

87
00:04:59.079 --> 00:05:03.240
<v Speaker 2>Intelligence or some combination of the technologies that need all

88
00:05:03.319 --> 00:05:05.439
<v Speaker 2>this energy really pass How.

89
00:05:05.360 --> 00:05:08.079
<v Speaker 1>Big of how big a system is this, because we

90
00:05:08.120 --> 00:05:10.079
<v Speaker 1>don't hear much about this. Is this one of those

91
00:05:10.720 --> 00:05:12.839
<v Speaker 1>zillion dollar industries?

92
00:05:14.000 --> 00:05:16.439
<v Speaker 2>Yeah, it's huge and it's growing. And in fact, I

93
00:05:16.560 --> 00:05:19.360
<v Speaker 2>visited a data center that was springing up in Orangeburg,

94
00:05:19.399 --> 00:05:21.560
<v Speaker 2>New York, which is about a half an hour north

95
00:05:21.600 --> 00:05:24.920
<v Speaker 2>of New York City, in the fall, and it was,

96
00:05:25.399 --> 00:05:28.160
<v Speaker 2>you know, under construction at the time. They were investing

97
00:05:28.279 --> 00:05:31.120
<v Speaker 2>you know, several hundred million dollars in this facility as

98
00:05:31.120 --> 00:05:33.439
<v Speaker 2>a company called Data Bank that was spinning this up

99
00:05:33.759 --> 00:05:35.600
<v Speaker 2>and it was set to open in about two months.

100
00:05:35.639 --> 00:05:37.439
<v Speaker 2>And I got to say, when I was walking around,

101
00:05:37.759 --> 00:05:40.839
<v Speaker 2>you believed that, you know, it's like these things are

102
00:05:41.120 --> 00:05:43.920
<v Speaker 2>getting a lot of attention, a lot of construction power

103
00:05:44.000 --> 00:05:47.360
<v Speaker 2>is going into these sort of facilities. As I said,

104
00:05:47.360 --> 00:05:50.199
<v Speaker 2>they're just basically big warehouses that you know, you put

105
00:05:50.240 --> 00:05:52.519
<v Speaker 2>computers in, not a ton of people. You need the

106
00:05:52.560 --> 00:05:56.079
<v Speaker 2>staff to run them. But there's another concern that comes

107
00:05:56.120 --> 00:05:59.240
<v Speaker 2>along with all this technology, which is energy consumption. Right,

108
00:05:59.279 --> 00:06:03.319
<v Speaker 2>because one, you need energy, need electricity to pull from

109
00:06:03.319 --> 00:06:06.240
<v Speaker 2>the grid to run the computers in your service, but

110
00:06:06.319 --> 00:06:09.439
<v Speaker 2>you also need to run air conditioning and cooling units

111
00:06:09.639 --> 00:06:12.319
<v Speaker 2>to keep those computers cool and to keep them functioning.

112
00:06:12.639 --> 00:06:15.519
<v Speaker 2>So they are big draws on the energy grid, and

113
00:06:15.600 --> 00:06:18.519
<v Speaker 2>that is something that we haven't really reckoned with yet.

114
00:06:18.560 --> 00:06:21.120
<v Speaker 2>We haven't really figured out a solution to making these

115
00:06:21.199 --> 00:06:25.000
<v Speaker 2>things climate friendly and environmentally friendly. You can imagine as

116
00:06:25.160 --> 00:06:28.000
<v Speaker 2>AI spins up and becomes more prominent, that is going

117
00:06:28.040 --> 00:06:29.560
<v Speaker 2>to become an increasing concern.

118
00:06:30.040 --> 00:06:32.000
<v Speaker 1>All right, I want to go back for a moment

119
00:06:32.360 --> 00:06:35.879
<v Speaker 1>to Amazon, the Amazon story where you reported that Amazon

120
00:06:36.360 --> 00:06:41.879
<v Speaker 1>is going to hire twenty thousand new employees regarding that

121
00:06:42.319 --> 00:06:46.639
<v Speaker 1>huge AI tech investment. Now, Amazon had a whole bunch

122
00:06:46.680 --> 00:06:50.399
<v Speaker 1>of layoffs, and I don't know how many are those

123
00:06:50.439 --> 00:06:52.120
<v Speaker 1>people going to go back to work, and how does

124
00:06:52.160 --> 00:06:54.160
<v Speaker 1>that connect with twenty thousand new employees.

125
00:06:55.759 --> 00:06:57.959
<v Speaker 2>That's a very good question. I'm not sure, but they

126
00:06:58.040 --> 00:07:02.439
<v Speaker 2>certainly are spinning up a new slate of technologies, and

127
00:07:02.519 --> 00:07:04.879
<v Speaker 2>that is kind of what you know they are touting.

128
00:07:04.959 --> 00:07:07.199
<v Speaker 2>This week. There's this big event in New York City

129
00:07:07.240 --> 00:07:10.000
<v Speaker 2>scheduled for tomorrow. It's expected to be an event all

130
00:07:10.040 --> 00:07:14.120
<v Speaker 2>about Alexa, which is, of course, Amazon's very popular voice assistant.

131
00:07:14.439 --> 00:07:16.519
<v Speaker 2>Back in twenty twenty three, Amazon said that they were

132
00:07:16.560 --> 00:07:19.839
<v Speaker 2>going to make this big revamp of Alexa to kind

133
00:07:19.839 --> 00:07:23.079
<v Speaker 2>of fallen behind some competitors like Google Assistant that are

134
00:07:23.120 --> 00:07:25.839
<v Speaker 2>out there just in terms of functionality and ease of

135
00:07:25.920 --> 00:07:28.839
<v Speaker 2>use in what have you. And Amazon says that by

136
00:07:28.920 --> 00:07:33.000
<v Speaker 2>adding generative artificial intelligence to this technology, it's going to

137
00:07:33.000 --> 00:07:35.439
<v Speaker 2>get a lot easier to use. And you can imagine

138
00:07:35.519 --> 00:07:37.279
<v Speaker 2>that is going to have a lot of people on

139
00:07:37.319 --> 00:07:40.600
<v Speaker 2>the back end working to make sure that this technology

140
00:07:40.680 --> 00:07:43.360
<v Speaker 2>doesn't go awry as we've seen it in the past.

141
00:07:43.759 --> 00:07:47.319
<v Speaker 2>You know, these generative artificial intelligence models often make things up,

142
00:07:47.360 --> 00:07:50.519
<v Speaker 2>they hallucinate, they get things wrong, and that requires sort

143
00:07:50.519 --> 00:07:54.279
<v Speaker 2>of moderation teams and engineering teams to be on call

144
00:07:54.519 --> 00:07:56.399
<v Speaker 2>in order to figure that out. We're going to get

145
00:07:56.399 --> 00:07:58.519
<v Speaker 2>a better look at it tomorrow to see if that

146
00:07:58.600 --> 00:08:00.920
<v Speaker 2>actually plays in the real world world the way that

147
00:08:01.000 --> 00:08:03.959
<v Speaker 2>Amazon wants it to. I think there's a lot of

148
00:08:04.040 --> 00:08:08.240
<v Speaker 2>risk here, especially when you consider the sort of unreliability

149
00:08:08.279 --> 00:08:10.519
<v Speaker 2>of some of these AI systems, but that is what

150
00:08:10.560 --> 00:08:12.199
<v Speaker 2>they say is going to make this voice a system

151
00:08:12.240 --> 00:08:14.000
<v Speaker 2>a lot more competitive going forward.

152
00:08:14.199 --> 00:08:16.319
<v Speaker 1>All right, And what I normally do whenever we talk

153
00:08:16.639 --> 00:08:20.079
<v Speaker 1>about Alexa, is I refer to those of you that

154
00:08:20.160 --> 00:08:25.800
<v Speaker 1>are listening who have an Alexa in your house and

155
00:08:25.839 --> 00:08:31.879
<v Speaker 1>you have kids asleep Alexa louder louder.

156
00:08:33.080 --> 00:08:35.960
<v Speaker 2>Yeah, yeah, exactly. You got to give the disclaimer every

157
00:08:35.960 --> 00:08:39.080
<v Speaker 2>time you do a voice assistant segment. You know, I'm sorry,

158
00:08:39.120 --> 00:08:42.039
<v Speaker 2>We've we've lit up all the Alexa devices around southern

159
00:08:42.039 --> 00:08:43.039
<v Speaker 2>California this morning.

160
00:08:43.320 --> 00:08:45.279
<v Speaker 1>Yeah's lovely, I love it. I love it.

161
00:08:45.440 --> 00:08:45.639
<v Speaker 2>Hey.

162
00:08:46.440 --> 00:08:50.879
<v Speaker 1>In terms of the new technology, it's I have friends,

163
00:08:51.000 --> 00:08:52.720
<v Speaker 1>my daughter as a matter of fact, and my daughter's

164
00:08:52.799 --> 00:08:58.440
<v Speaker 1>roommate who had a great job at Amazon. She lost

165
00:08:58.440 --> 00:09:00.480
<v Speaker 1>her job. Not my daughter, but the roommate lost your

166
00:09:00.559 --> 00:09:06.399
<v Speaker 1>job and is a very skilled computer person. That goes

167
00:09:06.519 --> 00:09:10.879
<v Speaker 1>right into if you somehow are moving into the computer

168
00:09:10.960 --> 00:09:14.679
<v Speaker 1>engineering in the world of AI. How hot a market

169
00:09:14.799 --> 00:09:16.960
<v Speaker 1>is that? Is that the way you remember it used

170
00:09:17.000 --> 00:09:20.320
<v Speaker 1>to be, where if you had any kind of computer skills,

171
00:09:20.320 --> 00:09:22.679
<v Speaker 1>you could walk across the street for a ton more

172
00:09:22.679 --> 00:09:25.399
<v Speaker 1>money and then walk back for even more money. Is

173
00:09:25.440 --> 00:09:28.159
<v Speaker 1>that what we're seeing in the AI world?

174
00:09:29.399 --> 00:09:31.919
<v Speaker 2>Certainly what you were seeing for a few months right,

175
00:09:32.080 --> 00:09:35.960
<v Speaker 2>Like the tech world has gone through several hype cycles. Lately,

176
00:09:36.039 --> 00:09:37.840
<v Speaker 2>they've been trying to figure out what the next big

177
00:09:37.879 --> 00:09:39.720
<v Speaker 2>thing is going to be. Of course, if you remember

178
00:09:39.759 --> 00:09:42.200
<v Speaker 2>a few years ago, everybody was talking about the metaverse,

179
00:09:42.279 --> 00:09:44.879
<v Speaker 2>this sort of virtual world that we would all exist in,

180
00:09:45.120 --> 00:09:48.320
<v Speaker 2>something that Facebook and Instagram really put a lot of

181
00:09:48.360 --> 00:09:52.919
<v Speaker 2>effort into, and the sort of long tail of that

182
00:09:52.960 --> 00:09:55.919
<v Speaker 2>didn't really go anywhere. Crypto was sort of the next

183
00:09:55.919 --> 00:09:58.480
<v Speaker 2>big hype cycle that people got excited about, and obviously

184
00:09:58.519 --> 00:10:01.840
<v Speaker 2>that market crashed as well. Well, now everybody's talking about

185
00:10:01.919 --> 00:10:04.879
<v Speaker 2>artificial intelligence, so it's not enough to just be a

186
00:10:04.919 --> 00:10:07.480
<v Speaker 2>computer engineer. You kind of got to specialize in one thing,

187
00:10:07.559 --> 00:10:10.200
<v Speaker 2>and you've got to make a bet that your specific

188
00:10:10.240 --> 00:10:14.440
<v Speaker 2>specialization is going to be the thing that hits. Certainly,

189
00:10:14.440 --> 00:10:17.159
<v Speaker 2>with these investments that we've been talking about from Apple

190
00:10:17.399 --> 00:10:20.679
<v Speaker 2>and from open ai and from others, it certainly seems

191
00:10:20.759 --> 00:10:22.600
<v Speaker 2>like a lot of the tech industry is sort of

192
00:10:22.879 --> 00:10:27.000
<v Speaker 2>centering itself around this artificial intelligence revolution. But we've also

193
00:10:27.080 --> 00:10:30.960
<v Speaker 2>seen some reasons to be skeptical about the long you know,

194
00:10:31.159 --> 00:10:35.720
<v Speaker 2>the sort of ongoing success of this particular industry. The

195
00:10:35.759 --> 00:10:40.480
<v Speaker 2>emergence of deep Seek, the Chinese artificial intelligence company that

196
00:10:40.559 --> 00:10:42.840
<v Speaker 2>was able to develop this very competitive model for a

197
00:10:42.879 --> 00:10:45.519
<v Speaker 2>fraction of the cost of what American models were able

198
00:10:45.519 --> 00:10:48.399
<v Speaker 2>to offer. Really did kind of raise some eyebrows in

199
00:10:48.440 --> 00:10:51.240
<v Speaker 2>the investing class. I think a big indicator bill is

200
00:10:51.279 --> 00:10:55.159
<v Speaker 2>going to be tomorrow when Nvidia reports its earnings. They

201
00:10:55.159 --> 00:10:59.120
<v Speaker 2>are the chip manufacturer that makes the technology that underpins

202
00:10:59.200 --> 00:11:01.799
<v Speaker 2>a lot of these models used by open Ai and

203
00:11:01.840 --> 00:11:02.879
<v Speaker 2>Google and others.

204
00:11:03.080 --> 00:11:06.440
<v Speaker 1>Now, my daughter showed me by my tech daughter showed

205
00:11:06.480 --> 00:11:13.879
<v Speaker 1>me a picture of the first quantum chip that came out,

206
00:11:14.480 --> 00:11:17.639
<v Speaker 1>and I didn't really understand that, And I want to

207
00:11:17.720 --> 00:11:22.000
<v Speaker 1>know how how much can this pop be cost? Do

208
00:11:22.080 --> 00:11:23.519
<v Speaker 1>you have any information on that?

209
00:11:25.440 --> 00:11:28.080
<v Speaker 2>Well, quantum computing has been around for a little while

210
00:11:28.120 --> 00:11:31.840
<v Speaker 2>as this sort of idea that the you know, that

211
00:11:31.840 --> 00:11:35.360
<v Speaker 2>our computers will somehow change and work differently on the

212
00:11:35.399 --> 00:11:39.000
<v Speaker 2>back end. This is mostly an internal you know question, right,

213
00:11:39.000 --> 00:11:42.240
<v Speaker 2>we're talking about chips and we're talking about processors. From

214
00:11:42.240 --> 00:11:46.000
<v Speaker 2>a user perspective, you know, it's sort of questionable exactly

215
00:11:46.000 --> 00:11:48.960
<v Speaker 2>what the change will be. But you're right to say that. Recently,

216
00:11:49.000 --> 00:11:52.200
<v Speaker 2>Microsoft did show off what they call the first quantum

217
00:11:52.240 --> 00:11:55.840
<v Speaker 2>computing chip. In terms of cost, I'm not sure off

218
00:11:55.879 --> 00:11:58.000
<v Speaker 2>the top of my head, but you can imagine it's

219
00:11:58.039 --> 00:11:59.679
<v Speaker 2>going to be quite pricey, given that this is just

220
00:11:59.679 --> 00:12:04.279
<v Speaker 2>a prototype, sort of experimental technology at this point. But yeah,

221
00:12:04.279 --> 00:12:06.039
<v Speaker 2>that's something to keep an eye on in the background.

222
00:12:06.120 --> 00:12:08.120
<v Speaker 2>This is something that we've been talking about for several

223
00:12:08.240 --> 00:12:10.320
<v Speaker 2>years now. Not everyone has been able to get it

224
00:12:10.360 --> 00:12:14.000
<v Speaker 2>to work just right, these sort of hyper efficient computers,

225
00:12:14.360 --> 00:12:17.639
<v Speaker 2>but it is certainly something that Microsoft thinks that it's

226
00:12:17.639 --> 00:12:19.639
<v Speaker 2>gotten a little bit closer to. I think what's going

227
00:12:19.679 --> 00:12:22.399
<v Speaker 2>to be really interesting to watch is whether that actually

228
00:12:22.440 --> 00:12:24.720
<v Speaker 2>shows up in the real world, how they implement this

229
00:12:24.879 --> 00:12:26.960
<v Speaker 2>in a technology that you or I could use.

230
00:12:27.240 --> 00:12:31.159
<v Speaker 1>Thank you, and I want to end with Alexa. What

231
00:12:31.200 --> 00:12:33.200
<v Speaker 1>does the fire engine sound like?

232
00:12:35.840 --> 00:12:39.519
<v Speaker 2>And good morning to everyone in the immediate Los Angeles area?

233
00:12:39.799 --> 00:12:47.480
<v Speaker 1>Thanks Mike, always appreciated. Okay, who is Danbongino. Well, he

234
00:12:47.559 --> 00:12:50.440
<v Speaker 1>has just been tapped by Cash Patel, the director of

235
00:12:50.480 --> 00:12:54.039
<v Speaker 1>the FBI, to be second in command at the FBI.

236
00:12:54.679 --> 00:12:59.879
<v Speaker 1>Does not need second does not need Senate confirmation. Now,

237
00:13:01.519 --> 00:13:05.480
<v Speaker 1>him being in this slot is a radical departure from

238
00:13:05.960 --> 00:13:10.840
<v Speaker 1>what used to be that role. The deputy director traditionally

239
00:13:10.879 --> 00:13:16.960
<v Speaker 1>an active agent significant operational experience and expertise. And by

240
00:13:16.960 --> 00:13:19.879
<v Speaker 1>the way, Patel said that is who he is going

241
00:13:19.919 --> 00:13:24.039
<v Speaker 1>to name as second in command that kind of person

242
00:13:25.679 --> 00:13:31.039
<v Speaker 1>before his confirmation. Oops, maybe not. And as a matter

243
00:13:31.080 --> 00:13:34.879
<v Speaker 1>of fact, what he did is he selected Bongino fifty

244
00:13:34.960 --> 00:13:40.759
<v Speaker 1>years old former Secret Service agent turned conservative media commentator,

245
00:13:42.080 --> 00:13:48.399
<v Speaker 1>known primarily for his outspoken support for Trump and frequent

246
00:13:48.600 --> 00:13:54.039
<v Speaker 1>spreading of misinformation, including the FBI about the FBI, basically

247
00:13:54.120 --> 00:13:58.000
<v Speaker 1>conspiracy theorists. He started his career as a cop with

248
00:13:58.000 --> 00:14:01.080
<v Speaker 1>the New York City Police Department. He joined the Secret

249
00:14:01.159 --> 00:14:05.360
<v Speaker 1>Service in nineteen ninety nine as a special agent. He

250
00:14:05.480 --> 00:14:08.240
<v Speaker 1>left in two thousand and two to become an instructor

251
00:14:08.399 --> 00:14:12.639
<v Speaker 1>at the Secret Service Training Academy. Pretty impressive. In two

252
00:14:12.679 --> 00:14:17.240
<v Speaker 1>thousand and six he joined the Presidential Protective Division, serving

253
00:14:17.279 --> 00:14:22.200
<v Speaker 1>both George W. Bush and Barack Obama. And then he

254
00:14:22.240 --> 00:14:29.240
<v Speaker 1>went into politics. First, he published a bunch of books,

255
00:14:30.039 --> 00:14:33.679
<v Speaker 1>pretty successful ones, and in twenty twelve he ran for

256
00:14:33.720 --> 00:14:37.679
<v Speaker 1>the US Senate Maryland. Won the Republican primary, lost by

257
00:14:37.720 --> 00:14:42.080
<v Speaker 1>a landslide to the Democratic incumbent. So two years later

258
00:14:42.120 --> 00:14:46.679
<v Speaker 1>he runs against a Democratic incumbent to represent Maryland's sixth

259
00:14:46.720 --> 00:14:53.159
<v Speaker 1>congressional district. He narrowly lost that one, and then he

260
00:14:53.240 --> 00:14:57.120
<v Speaker 1>decided he is going to go into a new career

261
00:14:57.279 --> 00:15:05.000
<v Speaker 1>in media. Boy did he succeed. He started a podcast

262
00:15:05.000 --> 00:15:10.159
<v Speaker 1>in his basement audience reaching millions of people, and his

263
00:15:10.240 --> 00:15:14.240
<v Speaker 1>popularity and his very brash style earned him a contract

264
00:15:14.799 --> 00:15:18.759
<v Speaker 1>in twenty eighteen with an online video channel you have

265
00:15:18.840 --> 00:15:24.000
<v Speaker 1>never heard of. It was the National Rifle Association's online

266
00:15:24.120 --> 00:15:31.159
<v Speaker 1>video channel. The NRATV lasted about twelve and a half seconds. Now,

267
00:15:31.240 --> 00:15:34.639
<v Speaker 1>one of the things about Bongino is over the years,

268
00:15:34.679 --> 00:15:40.320
<v Speaker 1>Trump actually took notice frequently posting on social media. Trump

269
00:15:40.360 --> 00:15:45.720
<v Speaker 1>did about Bongino's comments. Did you see what Bongono Bongino said?

270
00:15:46.519 --> 00:15:49.120
<v Speaker 1>He is so right. He's just so right about it

271
00:15:49.120 --> 00:15:53.159
<v Speaker 1>at all. You have to see it. In twenty twenty one,

272
00:15:53.200 --> 00:15:55.879
<v Speaker 1>as a result of all this success, he became a

273
00:15:55.960 --> 00:16:01.759
<v Speaker 1>radio and podcast the host in on Cumulus to take

274
00:16:01.799 --> 00:16:05.840
<v Speaker 1>over Rush Limbaugh slot, and then he started hosting Fox

275
00:16:06.039 --> 00:16:08.639
<v Speaker 1>News weekend program. And I guess in order to be

276
00:16:08.679 --> 00:16:13.240
<v Speaker 1>a Trump appointee, it's good to be a Fox commentator

277
00:16:13.440 --> 00:16:18.559
<v Speaker 1>or host. Read Pete hegseith. He's a critic of vax

278
00:16:18.639 --> 00:16:22.639
<v Speaker 1>and mandates mandates. He's a critic of masking, which he

279
00:16:22.720 --> 00:16:28.279
<v Speaker 1>called useless during the pandemic. He was permanently banned from YouTube,

280
00:16:28.799 --> 00:16:34.720
<v Speaker 1>violating his policies against pandemic related misinformation. Google pulled its

281
00:16:34.759 --> 00:16:39.519
<v Speaker 1>ad service from his website, and in the weeks after

282
00:16:39.559 --> 00:16:43.919
<v Speaker 1>Biden's victory, he started going nuts that the election had

283
00:16:43.960 --> 00:16:49.320
<v Speaker 1>been stolen. Now he has condemned the violence of January sixth,

284
00:16:49.519 --> 00:16:56.120
<v Speaker 1>but called on and defended Trump's pardon of everybody involved

285
00:16:56.159 --> 00:17:01.120
<v Speaker 1>in the January sixth insurrection. He has suggested, this is

286
00:17:01.120 --> 00:17:03.519
<v Speaker 1>the fun part. The FBI played and covered up a

287
00:17:03.600 --> 00:17:07.519
<v Speaker 1>role in the pipe bombs that were placed outside the

288
00:17:07.599 --> 00:17:12.200
<v Speaker 1>DNC and RNC headquarters in twenty twenty one. The FBI

289
00:17:13.559 --> 00:17:17.880
<v Speaker 1>did it. He questioned the integrity of the agency's investigations

290
00:17:17.880 --> 00:17:21.200
<v Speaker 1>into the assassination attempts on Trump in twenty twenty four.

291
00:17:22.000 --> 00:17:28.200
<v Speaker 1>The FBI is not investigating this. He has repeated, it's

292
00:17:28.279 --> 00:17:35.720
<v Speaker 1>time to clean house at the FBI. Here's a quote

293
00:17:36.119 --> 00:17:40.720
<v Speaker 1>that is attributed to him. My entire life right now

294
00:17:41.039 --> 00:17:48.920
<v Speaker 1>is about owning the Libs. It's a new world. Just

295
00:17:49.039 --> 00:17:53.200
<v Speaker 1>get prepared. James Carvel wrote a really interesting piece in

296
00:17:53.240 --> 00:17:55.480
<v Speaker 1>the New York Times that are read this morning, and

297
00:17:55.519 --> 00:17:57.799
<v Speaker 1>he said the best thing the Democrats can do right

298
00:17:57.839 --> 00:18:01.519
<v Speaker 1>now is just leave everything alone, just walk away that

299
00:18:01.680 --> 00:18:07.759
<v Speaker 1>it just don't show up and watch the Republicans self emulate,

300
00:18:08.720 --> 00:18:13.319
<v Speaker 1>just go up in flames, which seems to be happening

301
00:18:14.559 --> 00:18:17.640
<v Speaker 1>because what did Trump went on inflation hasn't done a

302
00:18:17.720 --> 00:18:22.319
<v Speaker 1>damn thing about inflation except that it's increasing, and he

303
00:18:22.359 --> 00:18:25.799
<v Speaker 1>said it's gonna hurt, after promising it's not gonna hurt.

304
00:18:27.559 --> 00:18:29.960
<v Speaker 1>He spent a lot of time dealing with DEI and

305
00:18:30.039 --> 00:18:33.079
<v Speaker 1>the border. But you know, people care about economics. They

306
00:18:33.119 --> 00:18:36.599
<v Speaker 1>want jobs, and the terrorists are not going to help

307
00:18:37.079 --> 00:18:42.440
<v Speaker 1>now long long term they're going to and I think

308
00:18:42.559 --> 00:18:47.200
<v Speaker 1>that's going to happen, but way beyond what the next

309
00:18:47.200 --> 00:18:49.559
<v Speaker 1>election is going to be about. And if I had

310
00:18:49.559 --> 00:18:52.640
<v Speaker 1>to guess, it's going to be another Saturday night massacre

311
00:18:52.759 --> 00:18:56.079
<v Speaker 1>in the midterms. All Right, We finish the show with

312
00:18:56.160 --> 00:19:02.839
<v Speaker 1>a fun topic, a success from No Scratching, and this

313
00:19:02.880 --> 00:19:07.680
<v Speaker 1>is a company called Dude Wipes, and the idea for

314
00:19:07.920 --> 00:19:11.960
<v Speaker 1>dude wipes actually toilet wipes for men. It came from

315
00:19:12.039 --> 00:19:15.240
<v Speaker 1>a bunch of buddies simply sitting down in an apartment

316
00:19:15.319 --> 00:19:20.319
<v Speaker 1>together and they're drinking beer, and up came this idea.

317
00:19:21.440 --> 00:19:24.759
<v Speaker 1>And if you look at the company on their website,

318
00:19:25.359 --> 00:19:29.400
<v Speaker 1>it's the posts are laced with poop emojis. If you

319
00:19:29.480 --> 00:19:33.599
<v Speaker 1>go to their headquarters in Chicago, at one end of

320
00:19:33.839 --> 00:19:38.000
<v Speaker 1>the conference table, there is a toilet bowl and Sean Riley,

321
00:19:38.160 --> 00:19:45.720
<v Speaker 1>who co founded the company, said, we were thinking about

322
00:19:45.720 --> 00:19:49.240
<v Speaker 1>this while drinking beers and we wanted to make people

323
00:19:49.519 --> 00:19:52.799
<v Speaker 1>laugh and be authentic because what they did is they

324
00:19:52.839 --> 00:19:56.359
<v Speaker 1>are marketing people. I mean, the idea wipes have been

325
00:19:56.400 --> 00:20:00.839
<v Speaker 1>around for a while, so a new company about wipes.

326
00:20:01.119 --> 00:20:04.920
<v Speaker 1>Boy did they hit it. They've sold millions of wipes

327
00:20:04.920 --> 00:20:11.079
<v Speaker 1>by convincing men to add wet tissues to their bathroom regimen.

328
00:20:12.079 --> 00:20:16.400
<v Speaker 1>And this is a small irreverent was a small irreverent

329
00:20:16.480 --> 00:20:19.839
<v Speaker 1>outlandis approach to marketing, I mean, still is the marketing part.

330
00:20:20.799 --> 00:20:25.720
<v Speaker 1>They first gained prominence as a quote ass sponsor for

331
00:20:26.119 --> 00:20:29.920
<v Speaker 1>UFC fighter Tyrone Woodley, who reached out to the company

332
00:20:30.000 --> 00:20:35.400
<v Speaker 1>because he advertises he sells space on his ass during

333
00:20:35.480 --> 00:20:40.240
<v Speaker 1>fights on his shorts, and the sponsor that was buying

334
00:20:40.279 --> 00:20:44.279
<v Speaker 1>it dropped out, So he goes to Dude Wipes and

335
00:20:44.319 --> 00:20:49.200
<v Speaker 1>they immediately go for it. They scraped together ten thousand dollars.

336
00:20:50.319 --> 00:20:54.240
<v Speaker 1>That was in twenty fourteen, and sales just spiked after

337
00:20:54.279 --> 00:20:57.960
<v Speaker 1>the fight, and so they discovered this was all about marketing.

338
00:20:59.079 --> 00:21:02.519
<v Speaker 1>So what they do well, For example, they pay the

339
00:21:02.559 --> 00:21:05.319
<v Speaker 1>fine for an athlete who wiped this bottom with a football.

340
00:21:05.440 --> 00:21:08.559
<v Speaker 1>I don't even know how you do that. They talk

341
00:21:08.920 --> 00:21:15.359
<v Speaker 1>a lot about bodily functions, lots of poop emojis. Eighty

342
00:21:15.359 --> 00:21:18.799
<v Speaker 1>percent of toilet papers bought by women by women, dude

343
00:21:18.839 --> 00:21:23.079
<v Speaker 1>wipes seventy percent by men. If you look at the

344
00:21:23.160 --> 00:21:28.079
<v Speaker 1>wipes marketing that's done by Kimberly, Clark, Procter and Gamble,

345
00:21:28.279 --> 00:21:31.720
<v Speaker 1>it's you know, there's rubber ducks on it. There's the

346
00:21:31.880 --> 00:21:37.160
<v Speaker 1>Sharman bear. It's kind of cutesy. Not with them. Ridley says,

347
00:21:37.200 --> 00:21:39.799
<v Speaker 1>people don't want to be coddled. We know that it

348
00:21:39.920 --> 00:21:43.440
<v Speaker 1>is a sticky new habit, sticky being. People continue to

349
00:21:43.559 --> 00:21:49.000
<v Speaker 1>use it because it's cleaner, it's a better alternative. Retailer said, no,

350
00:21:49.119 --> 00:21:53.000
<v Speaker 1>not a chance. So they go on Shark Tank, Mark

351
00:21:53.160 --> 00:21:59.000
<v Speaker 1>Cuban invests. Dude Wipe makes its first million selling on Amazon.

352
00:21:59.519 --> 00:22:02.720
<v Speaker 1>Sales go to forty million during the toilet paper shortage

353
00:22:02.759 --> 00:22:05.480
<v Speaker 1>of the pandemic. Analyst said it was just a fad.

354
00:22:05.839 --> 00:22:11.720
<v Speaker 1>Sales are now two hundred million. Dollars, Walmart, target Kroger.

355
00:22:12.640 --> 00:22:17.599
<v Speaker 1>The best selling products extra large wipes, because it's for dudes.

356
00:22:18.640 --> 00:22:21.640
<v Speaker 1>See how that work. Now, they've tried a couple of

357
00:22:21.680 --> 00:22:25.599
<v Speaker 1>other things that didn't work. Dude products launch. The line

358
00:22:25.640 --> 00:22:29.559
<v Speaker 1>of deodorants and other personal care products during the pandemic flopped.

359
00:22:30.160 --> 00:22:34.119
<v Speaker 1>Why well, because if you look at the personal care

360
00:22:34.160 --> 00:22:37.920
<v Speaker 1>products like old spice and as it's already targeted towards men,

361
00:22:38.799 --> 00:22:43.759
<v Speaker 1>wipes are targeted towards women. They figured out we're going

362
00:22:43.799 --> 00:22:47.759
<v Speaker 1>to go for the guys. And by the way, they're

363
00:22:47.799 --> 00:22:49.480
<v Speaker 1>trying to get into Costco and I'll bet you they

364
00:22:49.680 --> 00:22:52.839
<v Speaker 1>they make it. And there is another product launching soon,

365
00:22:53.559 --> 00:23:01.440
<v Speaker 1>dude wipes. Double deucee. That's what they're calling. What means

366
00:23:01.599 --> 00:23:05.279
<v Speaker 1>two wipes that come in a single package. That idea

367
00:23:05.480 --> 00:23:11.039
<v Speaker 1>came from the singer John Mayer, who went in and

368
00:23:11.319 --> 00:23:15.960
<v Speaker 1>contacted them and said, we live in a two wipe world,

369
00:23:17.200 --> 00:23:20.240
<v Speaker 1>we should have some double deuce Well, they came up

370
00:23:20.240 --> 00:23:23.680
<v Speaker 1>with the name wipes. Wow, have you ever tried them?

371
00:23:24.759 --> 00:23:24.839
<v Speaker 2>No?

372
00:23:24.920 --> 00:23:28.799
<v Speaker 1>I haven't. I don't use the wipe I you know,

373
00:23:28.839 --> 00:23:30.000
<v Speaker 1>I use regular wipes. Man.

374
00:23:30.519 --> 00:23:33.440
<v Speaker 2>Well, I'm not saying the cottonells great as well, I'm

375
00:23:33.480 --> 00:23:35.519
<v Speaker 2>just keep them in the car.

376
00:23:36.920 --> 00:23:39.920
<v Speaker 1>Why keep him in the car when you got you know,

377
00:23:40.640 --> 00:23:43.119
<v Speaker 1>deuce in the car. Is that what you do? But

378
00:23:43.279 --> 00:23:45.920
<v Speaker 1>they're good for wipes, they're good for hand wipes. They're

379
00:23:45.920 --> 00:23:51.880
<v Speaker 1>good for cleaning messes up too. But they're there, durable there,

380
00:23:51.920 --> 00:23:57.160
<v Speaker 1>they are durable wipes, the double deuce. Okay, we're done, guys,

381
00:23:57.160 --> 00:24:01.200
<v Speaker 1>Fresh fresh, I know coming up Harry and Chen and

382
00:24:02.000 --> 00:24:04.359
<v Speaker 1>ten o'clock they're going to talk about the fires that

383
00:24:04.400 --> 00:24:08.559
<v Speaker 1>are affecting preparations for the twenty twenty eight Olympics, and

384
00:24:08.880 --> 00:24:11.880
<v Speaker 1>we start all over again tomorrow morning. Amy wake up

385
00:24:11.920 --> 00:24:14.680
<v Speaker 1>call and Neil and I come aboard at six, six

386
00:24:14.799 --> 00:24:17.400
<v Speaker 1>to nine, right now till right now, and of course

387
00:24:18.440 --> 00:24:22.400
<v Speaker 1>Ann and Kono here to make the show run. This

388
00:24:22.559 --> 00:24:26.319
<v Speaker 1>is KFI AM six point forty. You've been listening to

389
00:24:26.359 --> 00:24:29.160
<v Speaker 1>the Bill Handle Show. Catch my show Monday through Friday

390
00:24:29.240 --> 00:24:32.839
<v Speaker 1>six am to nine am, and anytime on demand on

391
00:24:32.880 --> 00:24:34.240
<v Speaker 1>the iHeartRadio app.