1
00:00:00,120 --> 00:00:03,120
Speaker 1: It is time for our tech segment with our tech

2
00:00:03,120 --> 00:00:07,080
Speaker 1: reporter Rich DeMuro. Rich has heard right here Saturdays from

3
00:00:07,120 --> 00:00:10,639
Speaker 1: eleven am to two pm. He's on KTLA every day.

4
00:00:10,800 --> 00:00:14,960
Speaker 1: His Instagram address at rich on tech website, richon tech

5
00:00:15,120 --> 00:00:18,840
Speaker 1: dot tv with tons and tons of information.

6
00:00:19,720 --> 00:00:22,759
Speaker 2: Rich, good morning, Good morning to you. Bill.

7
00:00:23,280 --> 00:00:26,400
Speaker 1: Okay, well you got me and there was no way

8
00:00:26,440 --> 00:00:28,680
Speaker 1: I was not going to go on this one. All right.

9
00:00:29,560 --> 00:00:34,680
Speaker 1: There is a viral app in China called are You Dead? Now?

10
00:00:34,920 --> 00:00:38,120
Speaker 1: This is not their version of spam a lot. Are

11
00:00:38,159 --> 00:00:38,960
Speaker 1: You Dead yet?

12
00:00:39,360 --> 00:00:39,519
Speaker 2: No?

13
00:00:39,680 --> 00:00:42,239
Speaker 1: Are you Dead? And it's making on callings of waves

14
00:00:42,479 --> 00:00:46,280
Speaker 1: and yeah, that got me going. So you want to

15
00:00:46,320 --> 00:00:46,879
Speaker 1: explain that?

16
00:00:48,200 --> 00:00:53,000
Speaker 2: I mean, yeah, it's definitely a recognizable name, a memorable name,

17
00:00:53,280 --> 00:00:55,960
Speaker 2: a name you can't ignore, and it's one of the

18
00:00:56,040 --> 00:00:59,280
Speaker 2: top paid apps in China right now. Yes, it's called

19
00:00:59,320 --> 00:01:02,760
Speaker 2: are You Dead. Here's how it works. If you live alone,

20
00:01:03,280 --> 00:01:05,839
Speaker 2: you basically tap a check in button every single day.

21
00:01:06,280 --> 00:01:08,160
Speaker 2: If you don't check in for two days in a row,

22
00:01:08,480 --> 00:01:12,600
Speaker 2: the app will automatically alert an emergency contact of your choosing.

23
00:01:13,160 --> 00:01:16,679
Speaker 2: So the idea here is for the elderly, and not

24
00:01:16,760 --> 00:01:20,840
Speaker 2: just the elderly, but apparently young people live alone more

25
00:01:20,880 --> 00:01:24,800
Speaker 2: and more in China, like this loneliness epidemic apparently is

26
00:01:24,800 --> 00:01:28,160
Speaker 2: a big deal over there too, and so they check

27
00:01:28,160 --> 00:01:30,520
Speaker 2: in with someone that can say, oh, you're still alive.

28
00:01:31,800 --> 00:01:34,520
Speaker 2: And that's basically it for the app, but I will

29
00:01:34,560 --> 00:01:37,080
Speaker 2: tell you this bill at the end of the day.

30
00:01:37,120 --> 00:01:41,080
Speaker 2: The Financial Times interviewed the creators. They said the present

31
00:01:41,240 --> 00:01:44,119
Speaker 2: name was not intended to be bad, but to serve

32
00:01:44,120 --> 00:01:47,119
Speaker 2: as a reminder for us to cherish the present, which

33
00:01:47,120 --> 00:01:48,400
Speaker 2: I thought was quite interesting.

34
00:01:48,880 --> 00:01:51,960
Speaker 1: Yeah, you really got me going. I was very excited

35
00:01:52,000 --> 00:01:54,760
Speaker 1: there for a moment with this app. But I guess

36
00:01:54,800 --> 00:01:59,240
Speaker 1: it does make sense. Basically, is a wellness search just

37
00:01:59,280 --> 00:02:01,360
Speaker 1: a well it's a you know, anybody coming in for

38
00:02:01,400 --> 00:02:05,880
Speaker 1: a wellness check and are you dead? It's sort of

39
00:02:06,040 --> 00:02:10,359
Speaker 1: like I'm falling and I can't get up, but seriously,

40
00:02:10,680 --> 00:02:11,600
Speaker 1: I can't get up.

41
00:02:13,040 --> 00:02:15,560
Speaker 2: Yeah, you can't get up enough because you're dead. You

42
00:02:15,880 --> 00:02:18,560
Speaker 2: can pretty much. You can download this in the US,

43
00:02:18,639 --> 00:02:21,440
Speaker 2: by the way, And the funny thing is it's almost

44
00:02:21,440 --> 00:02:24,640
Speaker 2: like my last name. It's translated in the US to

45
00:02:25,600 --> 00:02:29,560
Speaker 2: d mum you d e m u m U. It's

46
00:02:29,639 --> 00:02:32,480
Speaker 2: ninety nine cents. So if you want this in America,

47
00:02:32,919 --> 00:02:33,560
Speaker 2: you can get it.

48
00:02:34,720 --> 00:02:37,240
Speaker 1: Let me d e m U m you okay, let

49
00:02:37,280 --> 00:02:40,480
Speaker 1: me ask something. It's as you said, it's almost like

50
00:02:40,480 --> 00:02:42,960
Speaker 1: a wellness check. You do you have to check in

51
00:02:43,040 --> 00:02:45,320
Speaker 1: with this thing to let them know you are alive

52
00:02:45,440 --> 00:02:49,080
Speaker 1: every hour every day or does it figure out that

53
00:02:49,360 --> 00:02:51,160
Speaker 1: you're sort of dead?

54
00:02:52,400 --> 00:02:55,280
Speaker 2: No, it's it's uh no, you do have to check in,

55
00:02:55,320 --> 00:02:56,960
Speaker 2: so every day you have to tap it. If you

56
00:02:57,000 --> 00:02:59,720
Speaker 2: look at the app, it literally just looks like one

57
00:03:00,080 --> 00:03:03,440
Speaker 2: big button and it says check in today, And so

58
00:03:03,560 --> 00:03:05,560
Speaker 2: you would just the idea is you would get up,

59
00:03:06,120 --> 00:03:08,840
Speaker 2: tap the app and your what your you know, loved

60
00:03:08,840 --> 00:03:11,120
Speaker 2: ones would not get an alert that you are dead.

61
00:03:11,560 --> 00:03:13,640
Speaker 2: I mean really, it's a welfare check, you know, like

62
00:03:14,960 --> 00:03:15,359
Speaker 2: checked in.

63
00:03:15,520 --> 00:03:17,840
Speaker 1: Yeah, but how many people I misplaced my phone for

64
00:03:18,080 --> 00:03:22,720
Speaker 1: days at a time sometimes, uh, and I'm looking around, Yeah,

65
00:03:22,800 --> 00:03:24,960
Speaker 1: I have I miss placed. I misplaced my phone all

66
00:03:25,000 --> 00:03:28,280
Speaker 1: the time, and I find it in weird places, even

67
00:03:28,400 --> 00:03:31,680
Speaker 1: with fine mine because my you know wife, I have

68
00:03:32,120 --> 00:03:34,640
Speaker 1: call my phone and I try to figure yeah, so

69
00:03:34,880 --> 00:03:38,160
Speaker 1: I uh, I would be so dead so many times.

70
00:03:38,200 --> 00:03:41,680
Speaker 1: But actually it sounds pretty good. It's not a bad idea.

71
00:03:42,560 --> 00:03:46,240
Speaker 1: And how's it. I'm assuming it's doing well, because it

72
00:03:46,320 --> 00:03:46,920
Speaker 1: is clear.

73
00:03:48,160 --> 00:03:50,960
Speaker 2: It's the top paid app in China right now. I

74
00:03:51,000 --> 00:03:54,000
Speaker 2: mean that that's pretty good. And it's like, uh, I

75
00:03:54,000 --> 00:03:56,240
Speaker 2: mean here in the US it's ninety nine cents. I

76
00:03:56,280 --> 00:03:59,520
Speaker 2: think it's uh yeah, probably about the same over there.

77
00:03:59,640 --> 00:04:02,120
Speaker 2: But I actually think this is a there's a better

78
00:04:02,200 --> 00:04:05,560
Speaker 2: idea here. You know, we all have these wearables. I'm

79
00:04:06,000 --> 00:04:09,520
Speaker 2: no joke, Bill, I am wearing three wearables as we speak.

80
00:04:09,560 --> 00:04:11,560
Speaker 2: I mean, this is insane, but I test this stuff

81
00:04:11,560 --> 00:04:14,280
Speaker 2: for a living. But I mean, I've got this smart ring,

82
00:04:14,560 --> 00:04:17,600
Speaker 2: I've got a smart watch, and this new smart Ai wearable.

83
00:04:18,040 --> 00:04:20,680
Speaker 2: Here's the thing. It would not be a stretch, and

84
00:04:20,720 --> 00:04:22,800
Speaker 2: I know this would be a privacy issue, but it

85
00:04:22,800 --> 00:04:24,720
Speaker 2: would not be such a stretch where you can just

86
00:04:24,839 --> 00:04:29,159
Speaker 2: program your smart watch or your smart ring. Of course,

87
00:04:29,200 --> 00:04:32,440
Speaker 2: it knows you're alive, right to text someone on a

88
00:04:32,480 --> 00:04:34,800
Speaker 2: daily basis, or to text someone when you're not alive

89
00:04:34,839 --> 00:04:38,240
Speaker 2: if you stop moving. And by the way, there actually

90
00:04:38,400 --> 00:04:41,719
Speaker 2: is on this pixel watch I'm wearing a feature called

91
00:04:41,839 --> 00:04:45,560
Speaker 2: loss of pulse detection. And this was just approved in

92
00:04:45,600 --> 00:04:48,000
Speaker 2: the US. It was approved over in Europe first, but

93
00:04:48,040 --> 00:04:50,640
Speaker 2: then it was approved here. But basically it's a censor

94
00:04:50,800 --> 00:04:54,400
Speaker 2: on this watch that if your pulse stops, it will

95
00:04:54,800 --> 00:04:55,880
Speaker 2: call for help.

96
00:04:57,760 --> 00:05:01,200
Speaker 1: Calls no, so it'll call what one, let's you? Okay,

97
00:05:01,240 --> 00:05:04,359
Speaker 1: that's actually yeah, We're we're moving in that direction. I'm

98
00:05:04,400 --> 00:05:08,960
Speaker 1: about to get one of those wearables because I walk

99
00:05:09,360 --> 00:05:12,159
Speaker 1: by myself and I could and my neighbors all hate me.

100
00:05:12,240 --> 00:05:14,760
Speaker 1: So if I, you know, took a flyer and you know,

101
00:05:14,880 --> 00:05:17,240
Speaker 1: hit the pavement, no one would do anything about it.

102
00:05:17,920 --> 00:05:20,800
Speaker 1: So that makes a lot of sense. A story we

103
00:05:20,839 --> 00:05:25,400
Speaker 1: did this morning during the news is about Apple and

104
00:05:25,440 --> 00:05:29,880
Speaker 1: how it has not been at the forefront of this

105
00:05:30,000 --> 00:05:34,919
Speaker 1: AI business and it's moving into that direction trying to

106
00:05:34,960 --> 00:05:36,400
Speaker 1: catch up. You want to share.

107
00:05:38,400 --> 00:05:42,400
Speaker 2: Yeah, this is a huge announcement from Apple and kind

108
00:05:42,440 --> 00:05:45,479
Speaker 2: of unlikely that they would even do this, but we

109
00:05:45,560 --> 00:05:49,200
Speaker 2: know that Apple has lagged when it comes to AI

110
00:05:49,320 --> 00:05:52,479
Speaker 2: on the iPhone. They've got something called Apple Intelligence. About

111
00:05:52,560 --> 00:05:55,440
Speaker 2: two years ago, they showed off all these new features

112
00:05:55,440 --> 00:05:58,680
Speaker 2: that were supposed to supercharge SERI, make it smart, make

113
00:05:58,720 --> 00:06:02,840
Speaker 2: it understand your email, your photos, your contacts, everything that

114
00:06:02,880 --> 00:06:06,480
Speaker 2: was stored on your phone. Well that never happened. Meanwhile,

115
00:06:06,520 --> 00:06:10,599
Speaker 2: you've got Gemini from Google that is just really doing

116
00:06:10,600 --> 00:06:13,520
Speaker 2: an amazing job with AI across a lot of phone

117
00:06:13,600 --> 00:06:17,200
Speaker 2: especially Samsung's. Then you've got open Ai, which has just

118
00:06:17,279 --> 00:06:21,320
Speaker 2: done incredible work with AI, and meanwhile you have Apple,

119
00:06:21,560 --> 00:06:24,159
Speaker 2: one of the world's largest tech company, is just sitting

120
00:06:24,160 --> 00:06:26,880
Speaker 2: there twiddling their thumbs. They tried to do it, they've

121
00:06:26,920 --> 00:06:31,720
Speaker 2: admitted defeat, and so now they're turning to Google's Gemini

122
00:06:32,240 --> 00:06:35,280
Speaker 2: to help them get Siri up and running with a

123
00:06:35,279 --> 00:06:38,520
Speaker 2: new version that's going to have many more AI features.

124
00:06:38,560 --> 00:06:41,200
Speaker 2: And I think this is a good thing because Apple

125
00:06:41,240 --> 00:06:43,800
Speaker 2: tried to do this themselves. They found that it was

126
00:06:43,960 --> 00:06:47,640
Speaker 2: very tough, and so basically they're going to take Google's

127
00:06:47,640 --> 00:06:51,400
Speaker 2: model Gemini. They're going to use it to put it

128
00:06:51,440 --> 00:06:55,120
Speaker 2: on your phone and get all of your information in

129
00:06:55,200 --> 00:06:59,040
Speaker 2: a private way, sliced and diced by this Gemini AI

130
00:06:59,160 --> 00:07:01,040
Speaker 2: so that you can have into it. And I think

131
00:07:01,040 --> 00:07:02,640
Speaker 2: they're doing this in a very smart way.

132
00:07:03,000 --> 00:07:06,680
Speaker 1: Now is it a question of it's just too expensive,

133
00:07:07,920 --> 00:07:10,520
Speaker 1: or it becomes too difficult for Apple to catch up,

134
00:07:10,720 --> 00:07:13,800
Speaker 1: or it just makes financial sense because of course everything

135
00:07:13,840 --> 00:07:17,480
Speaker 1: is based on finance that it's doing this, And how

136
00:07:17,520 --> 00:07:19,960
Speaker 1: do you compare it with Apple developing their own chip,

137
00:07:20,000 --> 00:07:22,640
Speaker 1: for example, which had to be astronomical money.

138
00:07:23,880 --> 00:07:26,560
Speaker 2: Right, Okay, so good, good question. So a couple things here.

139
00:07:26,640 --> 00:07:28,280
Speaker 2: Number one, Apple has all the money in the world,

140
00:07:28,400 --> 00:07:31,760
Speaker 2: so it's not necessarily a money problem. But here's the thing.

141
00:07:32,320 --> 00:07:36,040
Speaker 2: Google has been working on AI, which was previously referred

142
00:07:36,040 --> 00:07:40,480
Speaker 2: to in many circles as machine learning, for decades, whereas

143
00:07:40,640 --> 00:07:44,680
Speaker 2: Apple not so much. So they had Siri, but Siria

144
00:07:44,760 --> 00:07:47,240
Speaker 2: was never truly smart. It never really learned, it never

145
00:07:47,280 --> 00:07:49,840
Speaker 2: really adapted, It wasn't really using AI to do anything.

146
00:07:50,120 --> 00:07:52,120
Speaker 2: And that's pretty much the only thing that Apple had

147
00:07:52,160 --> 00:07:54,679
Speaker 2: all these years. Now, when it comes to the chip,

148
00:07:55,320 --> 00:07:59,480
Speaker 2: Apple was planning for their own chip for decades. For many,

149
00:07:59,520 --> 00:08:02,480
Speaker 2: many years, they were deciding like, okay, one day we're

150
00:08:02,480 --> 00:08:04,640
Speaker 2: gonna jump off and we're gonna make our own chips

151
00:08:04,640 --> 00:08:07,280
Speaker 2: for computers. So they had this runway where when they

152
00:08:07,280 --> 00:08:10,680
Speaker 2: started doing that, it just supercharged their business. They never

153
00:08:10,760 --> 00:08:13,400
Speaker 2: really had that base for AI, and so when they

154
00:08:13,400 --> 00:08:16,080
Speaker 2: started to try to build this thing that open AI

155
00:08:16,200 --> 00:08:19,320
Speaker 2: had been working on for years in secret, and Google

156
00:08:19,360 --> 00:08:21,200
Speaker 2: had been working on for years, and they had all

157
00:08:21,240 --> 00:08:24,040
Speaker 2: the people in place and all the you know, mechanics

158
00:08:24,040 --> 00:08:26,840
Speaker 2: in place, they just could not compete. They found that

159
00:08:26,880 --> 00:08:29,200
Speaker 2: the more they did the tougher it was to do this.

160
00:08:29,760 --> 00:08:32,680
Speaker 2: So I think that's where we stand. They've said, you

161
00:08:32,720 --> 00:08:35,760
Speaker 2: know what, and I don't think this precludes Apple from

162
00:08:35,800 --> 00:08:38,640
Speaker 2: ever doing their own thing. I think they may start

163
00:08:38,720 --> 00:08:41,080
Speaker 2: from now saying Okay, let's try to figure out how

164
00:08:41,080 --> 00:08:43,000
Speaker 2: to do our own thing in the future. But right

165
00:08:43,040 --> 00:08:45,679
Speaker 2: now they need Gemini to do what they can't do.

166
00:08:46,200 --> 00:08:48,560
Speaker 2: And you know, it's been several years now that Apple's

167
00:08:48,559 --> 00:08:52,120
Speaker 2: tried to introduce this Seri stuff. It just hasn't happened.

168
00:08:52,160 --> 00:08:53,440
Speaker 2: So this is going to allow them to do that

169
00:08:53,559 --> 00:08:54,280
Speaker 2: a lot faster.

170
00:08:54,600 --> 00:08:59,560
Speaker 1: Hey, a question about the my iPhone and Siri. Literally

171
00:08:59,600 --> 00:09:03,640
Speaker 1: fifty percent of the time when I say hey Siri, uh,

172
00:09:03,720 --> 00:09:06,480
Speaker 1: it doesn't work well. For example, right now, the phone's

173
00:09:06,520 --> 00:09:08,160
Speaker 1: in front of me and I just said that and

174
00:09:08,280 --> 00:09:11,920
Speaker 1: nothing comes up, And uh, it's either hard of hearing.

175
00:09:12,480 --> 00:09:15,520
Speaker 1: Isn't it supposed to sort of recognize my voice and

176
00:09:15,720 --> 00:09:19,319
Speaker 1: learn uh, and you know, do a better job.

177
00:09:21,000 --> 00:09:23,640
Speaker 2: It should Now, if your phone is flipped upside down,

178
00:09:23,679 --> 00:09:26,840
Speaker 2: if your if your screen is faced down, the Hey

179
00:09:26,880 --> 00:09:28,640
Speaker 2: Siri functionality does not work.

180
00:09:28,760 --> 00:09:32,000
Speaker 1: So I understand, but it's not. Yeah, it's not I'm

181
00:09:32,120 --> 00:09:34,120
Speaker 1: looking at it. I'm looking at it right now, and

182
00:09:34,280 --> 00:09:38,720
Speaker 1: half the time it doesn't work. Hey, Siri, here we go. Okay,

183
00:09:38,760 --> 00:09:40,679
Speaker 1: who is rich? Demurow?

184
00:09:42,920 --> 00:09:45,040
Speaker 2: Well, it may it may not answer that. Here we go,

185
00:09:45,280 --> 00:09:46,000
Speaker 2: here's the other thing.

186
00:09:45,960 --> 00:09:47,840
Speaker 1: And okay, hold on, I'm going to read this. An

187
00:09:47,840 --> 00:09:51,400
Speaker 1: American journalist and reporter currently working as a tech reporter

188
00:09:52,000 --> 00:09:55,120
Speaker 1: for kt LA Channel five in Los Angeles, also appears

189
00:09:55,200 --> 00:09:57,760
Speaker 1: on the KTLA five Morning News. Doesn't say a word

190
00:09:57,760 --> 00:10:02,760
Speaker 1: about KFI. Holy Rich, you were arrested for that?

191
00:10:04,200 --> 00:10:07,480
Speaker 2: Oh gosh, Oh no, Siri, look a look at the

192
00:10:07,520 --> 00:10:12,120
Speaker 2: time we got to go, oh my gosh. But it

193
00:10:12,320 --> 00:10:14,240
Speaker 2: really Siri doesn't get everything right.

194
00:10:14,480 --> 00:10:16,560
Speaker 1: You know that. It's not a question of getting everything right.

195
00:10:16,600 --> 00:10:20,040
Speaker 1: It just doesn't listen. Half the time. I just can't

196
00:10:20,080 --> 00:10:24,120
Speaker 1: get it. So I'm assuming that Siri has not advanced,

197
00:10:24,160 --> 00:10:25,800
Speaker 1: because it's been I've had the same problem for a

198
00:10:25,840 --> 00:10:28,480
Speaker 1: couple of years and it's over three phones. So and

199
00:10:28,720 --> 00:10:30,600
Speaker 1: by the way, I'm not just pointing that out. Are

200
00:10:30,640 --> 00:10:35,040
Speaker 1: these just holes in the program that have not really

201
00:10:35,080 --> 00:10:35,880
Speaker 1: been filled yet?

202
00:10:37,800 --> 00:10:40,760
Speaker 2: Well, I think, Look, I do think that Siri has

203
00:10:40,960 --> 00:10:44,560
Speaker 2: definitely not been the best assistant. I think when it

204
00:10:44,559 --> 00:10:47,400
Speaker 2: came out, it was amazing people loved it. It did

205
00:10:47,440 --> 00:10:50,960
Speaker 2: a lot of things like sending text messages, interacting with

206
00:10:51,000 --> 00:10:53,160
Speaker 2: certain apps. I just don't think it's expanded in the

207
00:10:53,200 --> 00:10:58,439
Speaker 2: way that we now have this natural language interface with

208
00:10:58,520 --> 00:11:01,120
Speaker 2: so many other gadgets. I mean, Exa Plus has gotten

209
00:11:01,200 --> 00:11:03,920
Speaker 2: you know, Alexa got an upgrade. Google went from Google

210
00:11:03,920 --> 00:11:07,440
Speaker 2: Assistant to Gemini. You can talk to CHATCHYBT like you

211
00:11:07,480 --> 00:11:10,200
Speaker 2: would a human. So I mean there's just too much,

212
00:11:10,559 --> 00:11:12,840
Speaker 2: too many other things that have gotten better in the

213
00:11:12,920 --> 00:11:15,080
Speaker 2: time that Siri has stayed the same, and the whole

214
00:11:15,080 --> 00:11:17,000
Speaker 2: hey Siri thing. You know, by the way you can

215
00:11:17,040 --> 00:11:20,360
Speaker 2: now just say Siri if you want to activate your phone,

216
00:11:20,520 --> 00:11:24,360
Speaker 2: that process has not really changed in recent years. You

217
00:11:24,400 --> 00:11:26,440
Speaker 2: can always reset that, turn it off, turn it back on.

218
00:11:26,520 --> 00:11:30,320
Speaker 2: Maybe you'll get some better some better Uh luck with that.

219
00:11:30,640 --> 00:11:33,320
Speaker 2: But I think that in general, people have just gotten

220
00:11:33,400 --> 00:11:36,480
Speaker 2: used to AI and all the things that can do,

221
00:11:36,559 --> 00:11:39,040
Speaker 2: and they're just turning to too many other products and

222
00:11:39,080 --> 00:11:42,439
Speaker 2: they're not considering anything on their iPhone to be AI.

223
00:11:42,600 --> 00:11:45,360
Speaker 2: Even though Apple has built in this thing called Apple Intelligence,

224
00:11:45,600 --> 00:11:49,559
Speaker 2: people don't even consider that AI. It's Chatchy BT, it's Gemini.

225
00:11:49,920 --> 00:11:53,040
Speaker 2: These are all proprietary eponyms at this point for Ai

226
00:11:53,559 --> 00:11:55,560
Speaker 2: that Apple is just not in that world.

227
00:11:55,960 --> 00:12:00,720
Speaker 1: Now, I've noticed that Alexa works very well when I

228
00:12:00,800 --> 00:12:03,840
Speaker 1: talked to my device on my kitchen counter, you know,

229
00:12:03,880 --> 00:12:08,920
Speaker 1: for example, Alexa Louder. That was for everybody who's listening,

230
00:12:08,960 --> 00:12:11,440
Speaker 1: by the way, where they've just been blown out of

231
00:12:11,440 --> 00:12:14,839
Speaker 1: the water. So I just wanted to point that out,

232
00:12:14,880 --> 00:12:15,439
Speaker 1: all right.

233
00:12:15,559 --> 00:12:18,120
Speaker 2: Rich, Oh, you just wanted to do that, that's all

234
00:12:18,120 --> 00:12:20,720
Speaker 2: you want. You had no point there except just to say,

235
00:12:20,760 --> 00:12:21,840
Speaker 2: Alexa Louder.

236
00:12:21,880 --> 00:12:25,360
Speaker 1: Yeah, that's exactly correct. It was completely gratuitous, just to

237
00:12:25,360 --> 00:12:30,000
Speaker 1: be a dick. That's absolutely correct. Okay, Rich, we'll catch

238
00:12:30,040 --> 00:12:33,040
Speaker 1: you this weekend, and we'll catch you next week. Take care.

239
00:12:33,679 --> 00:12:34,560
Speaker 2: Thanks, Thanks Bill,