1
00:00:02,440 --> 00:00:07,440
Speaker 1: Also media, Hello and welcome to Better Offline live from

2
00:00:07,520 --> 00:00:10,280
Speaker 1: beautiful Las Vegas, Nevada. I am your host and most

3
00:00:10,320 --> 00:00:25,000
Speaker 1: punished man ever to walk this earth, Edward Zitron. I

4
00:00:25,040 --> 00:00:27,360
Speaker 1: live here, I live other places too, and I am

5
00:00:27,440 --> 00:00:29,560
Speaker 1: joined by an incredible crew. This is going to be

6
00:00:29,840 --> 00:00:33,360
Speaker 1: a week long extravaganza, roughly twelve and a half hours

7
00:00:33,479 --> 00:00:35,360
Speaker 1: of What I want to say is radio, but I

8
00:00:35,520 --> 00:00:39,160
Speaker 1: just mean the detritus of society and great reporters coming

9
00:00:39,159 --> 00:00:44,000
Speaker 1: here and reporting live ish from the largest consumer electronics

10
00:00:44,040 --> 00:00:47,000
Speaker 1: show I think in the world. And I just have

11
00:00:47,040 --> 00:00:49,800
Speaker 1: an incredible crew tonight. I have Robert Evans, of course,

12
00:00:49,880 --> 00:00:51,440
Speaker 1: the famous podcaster.

13
00:00:51,120 --> 00:00:54,920
Speaker 2: Representing the detritus section of the team.

14
00:00:55,000 --> 00:00:57,960
Speaker 1: Yes, yes, and Gar Davis of course.

15
00:00:57,960 --> 00:01:04,080
Speaker 3: Representing the i uh the lower southeast of the United States.

16
00:01:04,959 --> 00:01:08,560
Speaker 1: I am, of course representing the perverts and ed Ongueiso Junior,

17
00:01:08,640 --> 00:01:11,319
Speaker 1: one of my two wonderful reporters who were joining with

18
00:01:11,400 --> 00:01:13,520
Speaker 1: me this entire week. Ed thank you so much for

19
00:01:13,560 --> 00:01:16,880
Speaker 1: coming here, Thanks for having me. Okay, so why are

20
00:01:16,880 --> 00:01:18,520
Speaker 1: we doing this and what are we doing? So? I

21
00:01:18,600 --> 00:01:21,039
Speaker 1: want to walk you through what the experience is like.

22
00:01:21,080 --> 00:01:23,640
Speaker 1: We are sat in a recess level of the Venetian Hotel.

23
00:01:23,720 --> 00:01:25,200
Speaker 1: In the other room is a full bar that we

24
00:01:25,280 --> 00:01:27,360
Speaker 1: set up just for people to come in. Our guest,

25
00:01:27,480 --> 00:01:31,120
Speaker 1: Robert Gere ed Mattasowski, a wonderful producer, and we're going

26
00:01:31,160 --> 00:01:33,200
Speaker 1: to be doing this life to tape all week. This

27
00:01:33,319 --> 00:01:35,720
Speaker 1: is going to be basically a tech radio show about

28
00:01:35,720 --> 00:01:38,200
Speaker 1: a show that has no heart and no soul, a

29
00:01:38,280 --> 00:01:42,720
Speaker 1: show that, as Gere correctly said earlier, is basically the

30
00:01:42,800 --> 00:01:45,200
Speaker 1: same show as a year ago. Except a year ago,

31
00:01:45,280 --> 00:01:48,760
Speaker 1: I was a terrified baby. I had just got handed

32
00:01:48,760 --> 00:01:51,640
Speaker 1: the sword of podcasting. I was afraid of the microphone.

33
00:01:51,760 --> 00:01:54,920
Speaker 1: Now the microphone is afraid of me. And the important

34
00:01:54,960 --> 00:01:57,480
Speaker 1: thing is is that I brought everyone together not just

35
00:01:57,520 --> 00:01:58,840
Speaker 1: to talk to you about this show, but I want

36
00:01:58,840 --> 00:02:02,240
Speaker 1: to give everyone a temperature check of this fucking hellhole.

37
00:02:02,600 --> 00:02:05,600
Speaker 1: Because what happens is reporters come here every year and

38
00:02:05,640 --> 00:02:08,040
Speaker 1: they kind of walk in like they have to visit

39
00:02:08,080 --> 00:02:10,960
Speaker 1: their racist uncle, except their racist uncle doesn't say racism.

40
00:02:11,000 --> 00:02:15,000
Speaker 1: He says artificial intelligence every fucking year, and generally everyone

41
00:02:15,040 --> 00:02:17,960
Speaker 1: here feels kind of miserable. I refuse to have that

42
00:02:18,000 --> 00:02:20,160
Speaker 1: for my people. I refuse to have that for anyone

43
00:02:20,160 --> 00:02:22,239
Speaker 1: in my orbit. So I set up a week long

44
00:02:22,280 --> 00:02:24,240
Speaker 1: piss up where we talk about technology with people who

45
00:02:24,280 --> 00:02:25,919
Speaker 1: actually know what the hell they're talking about and care

46
00:02:25,960 --> 00:02:30,080
Speaker 1: about it. So, yeah, welcome to the Consumer Electronics Show.

47
00:02:30,360 --> 00:02:33,040
Speaker 1: Gare Robert. You have actually seen things today though we

48
00:02:33,360 --> 00:02:34,880
Speaker 1: ed and I only just got in today. What have

49
00:02:34,960 --> 00:02:36,520
Speaker 1: you seen? What horrors?

50
00:02:36,639 --> 00:02:39,440
Speaker 2: Today? I did five hours of back to back panels

51
00:02:39,840 --> 00:02:44,760
Speaker 2: official intelligence at the ARIA, and it was It included

52
00:02:44,800 --> 00:02:47,600
Speaker 2: a number of great moments, including an entire room full

53
00:02:47,600 --> 00:02:50,600
Speaker 2: of people, led by the folks on the panel, laughing

54
00:02:50,600 --> 00:02:53,280
Speaker 2: about people losing their jobs due to artificial intelligence?

55
00:02:53,520 --> 00:02:55,400
Speaker 1: So how did that happen? Like what were they laughing

56
00:02:55,400 --> 00:02:55,800
Speaker 1: at that?

57
00:02:55,840 --> 00:02:58,280
Speaker 2: The MC came up and she was like, Okay, I'm

58
00:02:58,280 --> 00:03:00,200
Speaker 2: gonna do some yes or no questions, and one of

59
00:03:00,240 --> 00:03:02,160
Speaker 2: them was there's going to be a lot of job

60
00:03:02,200 --> 00:03:05,320
Speaker 2: losses due to AI. And like the the I can

61
00:03:05,360 --> 00:03:07,960
Speaker 2: actually pull up who they were from. But like there

62
00:03:08,000 --> 00:03:10,000
Speaker 2: was an initial attempt to be like, no, well it'll

63
00:03:10,040 --> 00:03:13,200
Speaker 2: just be like job job the changes in the way

64
00:03:13,280 --> 00:03:15,520
Speaker 2: jobs are lost, and then someone was like, no, there's

65
00:03:15,520 --> 00:03:17,520
Speaker 2: gonna be a lot of job losses, and everybody started

66
00:03:17,560 --> 00:03:20,519
Speaker 2: cackling in the entire room. It was like one of

67
00:03:20,560 --> 00:03:23,720
Speaker 2: the most ghoulish experiences I had. I've had here. I've

68
00:03:23,760 --> 00:03:26,040
Speaker 2: got the audio cued up, so we'll listen to it.

69
00:03:26,200 --> 00:03:29,160
Speaker 1: We can loop that in that that's fucking disgusting.

70
00:03:29,639 --> 00:03:33,200
Speaker 2: Yeah, it was pretty vile. And then there was there

71
00:03:33,240 --> 00:03:36,080
Speaker 2: was a great moment where like the first panel I

72
00:03:36,120 --> 00:03:40,760
Speaker 2: did today was about uh like AI using AI in Hollywood,

73
00:03:40,840 --> 00:03:43,320
Speaker 2: And so the founder of that company's secret level that

74
00:03:43,440 --> 00:03:47,040
Speaker 2: does like video game themed videos on Netflix and stuff

75
00:03:47,600 --> 00:03:51,600
Speaker 2: Amazon Prime Video, Amazon Prime Sorry, sorry Jesus Rob, but

76
00:03:51,680 --> 00:03:53,640
Speaker 2: he was also one of the team members behind that

77
00:03:53,720 --> 00:03:57,680
Speaker 2: all AI Coca Cola Christmas ad that everybody fucking hated.

78
00:03:57,480 --> 00:03:59,800
Speaker 3: Which I did not realize until you made that connection

79
00:03:59,840 --> 00:04:01,320
Speaker 3: from me that it's it's those guys.

80
00:04:01,360 --> 00:04:02,960
Speaker 4: So if you love those visuals.

81
00:04:03,000 --> 00:04:04,960
Speaker 1: Yeah wait wait, So it was the actual company with

82
00:04:04,960 --> 00:04:05,200
Speaker 1: the coke.

83
00:04:05,760 --> 00:04:07,720
Speaker 2: I mean, there were three companies, but his company was one.

84
00:04:07,960 --> 00:04:11,920
Speaker 1: It took three companies to make the greatest piece of

85
00:04:12,000 --> 00:04:13,080
Speaker 1: art what's made?

86
00:04:14,440 --> 00:04:16,479
Speaker 2: And I don't know what they were doing because he

87
00:04:16,520 --> 00:04:18,960
Speaker 2: came up to show videos that he had just made

88
00:04:19,000 --> 00:04:22,919
Speaker 2: by like inputting text into an automatic image generator, like

89
00:04:23,040 --> 00:04:25,560
Speaker 2: little movies that he'd made, which also looked like shit,

90
00:04:25,960 --> 00:04:29,560
Speaker 2: but looked exactly as good as the fucking Christmas ads.

91
00:04:29,600 --> 00:04:32,800
Speaker 2: I'm like, what were all those companies doing a fucking

92
00:04:32,880 --> 00:04:33,599
Speaker 2: Christmas ad?

93
00:04:33,920 --> 00:04:34,640
Speaker 4: Laundering money?

94
00:04:34,720 --> 00:04:39,760
Speaker 1: Yeah yeah, yeah, yes, yeah, this sounds yeah, this cost

95
00:04:39,880 --> 00:04:42,600
Speaker 1: fifty million dollars. Yeah no, no, no, we can't do accounting

96
00:04:42,680 --> 00:04:47,240
Speaker 1: due to stuff. I wonder how much frauda is like

97
00:04:47,279 --> 00:04:48,960
Speaker 1: that in AI at this but look how many just

98
00:04:49,040 --> 00:04:51,280
Speaker 1: guys exist for like yal do your AI integration and

99
00:04:51,320 --> 00:04:53,360
Speaker 1: they just dick around for three months and then they

100
00:04:53,360 --> 00:04:54,279
Speaker 1: connect chat JPT.

101
00:04:54,800 --> 00:04:57,360
Speaker 2: I'm sure it was still cheaper than like the traditional

102
00:04:57,480 --> 00:04:59,920
Speaker 2: coke things, but I'm sure there's a lot.

103
00:05:00,360 --> 00:05:03,120
Speaker 3: I'm not sure that's even true anymore, Like they don't

104
00:05:03,160 --> 00:05:03,480
Speaker 3: get a.

105
00:05:03,440 --> 00:05:06,080
Speaker 1: Real polar bear, Like no, they certainly they don't. Like

106
00:05:06,160 --> 00:05:07,960
Speaker 1: if they did that, maybe even then I don't think

107
00:05:07,960 --> 00:05:10,400
Speaker 1: it would be as expensive, And it definitely wasn't. It

108
00:05:10,480 --> 00:05:13,520
Speaker 1: was definitely not cheaper on the actual AI side, because

109
00:05:14,000 --> 00:05:16,240
Speaker 1: news came out a couple day or two ago that

110
00:05:16,360 --> 00:05:20,240
Speaker 1: apparently the two hundred dollars a month chat GPT subscription

111
00:05:20,640 --> 00:05:23,560
Speaker 1: loses the money. And this is the thing. This is

112
00:05:23,600 --> 00:05:25,640
Speaker 1: where we are in the tech industry at this point.

113
00:05:25,720 --> 00:05:28,080
Speaker 1: We're in this world where we're meant to get extremely

114
00:05:28,520 --> 00:05:31,200
Speaker 1: erect over the idea of a Coca Cola ad that

115
00:05:31,240 --> 00:05:33,520
Speaker 1: looks like it was from made by the same people

116
00:05:33,560 --> 00:05:36,360
Speaker 1: as the black Hole Sun video. And then we're meant

117
00:05:36,360 --> 00:05:38,120
Speaker 1: to also look at like the apps we use and

118
00:05:38,120 --> 00:05:40,159
Speaker 1: they fucking suck. And then we commit to CS and

119
00:05:40,160 --> 00:05:41,880
Speaker 1: they're like, you know what's going to happen next year,

120
00:05:42,440 --> 00:05:43,839
Speaker 1: the exact same thing that we have.

121
00:05:44,000 --> 00:05:44,279
Speaker 5: Nothing.

122
00:05:44,320 --> 00:05:46,240
Speaker 1: It's there's AI in an oven.

123
00:05:46,720 --> 00:05:49,360
Speaker 2: I think, oh, I'm very exciting, and and a grill.

124
00:05:49,480 --> 00:05:52,400
Speaker 2: There's a grill that has an LM integrated into it.

125
00:05:52,520 --> 00:05:55,200
Speaker 3: Okay, the most exciting thing is that it it only

126
00:05:55,240 --> 00:05:57,480
Speaker 3: gets smarter, It's only going to get better.

127
00:05:57,680 --> 00:06:00,680
Speaker 2: Oh, that's what Jason from Secret Level said. He played

128
00:06:00,720 --> 00:06:04,599
Speaker 2: a video of like a bank heist chase where the

129
00:06:04,640 --> 00:06:06,359
Speaker 2: main character, every time it cut back to him, he

130
00:06:06,400 --> 00:06:09,760
Speaker 2: was dressed differently and his face. At one point, he's

131
00:06:09,800 --> 00:06:12,279
Speaker 2: so sick. He's just driving down a normal city street,

132
00:06:12,320 --> 00:06:15,120
Speaker 2: but there's randomly fires every thirty feet in the road

133
00:06:15,240 --> 00:06:18,680
Speaker 2: because the AI just hallucinated them. Yes, at a certain

134
00:06:18,680 --> 00:06:20,760
Speaker 2: point he crashes and he's on the run from the cops,

135
00:06:20,800 --> 00:06:22,719
Speaker 2: and every time it cuts back to the cops chasing him,

136
00:06:22,880 --> 00:06:25,560
Speaker 2: there's more or less cops from scene to scene.

137
00:06:25,600 --> 00:06:27,200
Speaker 1: This is that's the most realistic.

138
00:06:27,200 --> 00:06:33,039
Speaker 2: But union rules they got a fifteen minute break.

139
00:06:33,160 --> 00:06:35,679
Speaker 5: Listen, it took us fifteen million dollars when we redid

140
00:06:35,720 --> 00:06:39,159
Speaker 5: a six star chase and grand the no, someone said

141
00:06:39,200 --> 00:06:43,240
Speaker 5: it wasn't overtime, and they were like, oh, I got

142
00:06:43,279 --> 00:06:43,960
Speaker 5: the paperwork.

143
00:06:44,400 --> 00:06:44,440
Speaker 1: No.

144
00:06:44,800 --> 00:06:47,720
Speaker 3: When we were in Chicago running away from police, if

145
00:06:47,720 --> 00:06:49,680
Speaker 3: you turned the wrong corner, there would be more or

146
00:06:49,720 --> 00:06:52,520
Speaker 3: less cops and what you thought, So, hey, you know

147
00:06:53,320 --> 00:06:56,320
Speaker 3: you gotta give him maybe maybe maybe the benefit of

148
00:06:56,360 --> 00:06:56,640
Speaker 3: the death.

149
00:06:56,960 --> 00:06:57,919
Speaker 2: Would I want to see.

150
00:06:57,960 --> 00:06:59,320
Speaker 1: You have qualified immunity for that?

151
00:06:59,400 --> 00:07:02,000
Speaker 2: Because he was was emphatic that, like all I did

152
00:07:02,240 --> 00:07:06,200
Speaker 2: was read a script into it. Was like this, just

153
00:07:06,240 --> 00:07:09,560
Speaker 2: put it. This is unedited, you know from that. And

154
00:07:09,640 --> 00:07:11,080
Speaker 2: so what they really want to do is put the

155
00:07:11,120 --> 00:07:14,320
Speaker 2: script to Heat into one of these things. Just see

156
00:07:14,360 --> 00:07:17,200
Speaker 2: what that what the big gun fight from Heat looks

157
00:07:17,320 --> 00:07:19,440
Speaker 2: like in this? Does it have that?

158
00:07:19,520 --> 00:07:23,760
Speaker 1: Michael, I'm trying to think of what I put into it,

159
00:07:23,840 --> 00:07:25,960
Speaker 1: Like the Boris Balkan scene from the end of the

160
00:07:26,040 --> 00:07:28,440
Speaker 1: Ninth Gate where he's setting himself on the fire. I

161
00:07:28,440 --> 00:07:30,840
Speaker 1: would I would love to see what they're gonna do.

162
00:07:31,360 --> 00:07:32,200
Speaker 1: But they also like.

163
00:07:32,200 --> 00:07:35,360
Speaker 2: About how about antichrist? I've never seen they do that.

164
00:07:36,960 --> 00:07:40,280
Speaker 1: The end of kids moving.

165
00:07:42,440 --> 00:07:46,240
Speaker 2: Let's just run that through. See what ESPT makes of it.

166
00:07:46,360 --> 00:07:48,320
Speaker 1: This is their favorite lie though they're like, oh yeah,

167
00:07:48,360 --> 00:07:51,720
Speaker 1: it's just as symbol as a prompt. Even the cokead that, like,

168
00:07:51,800 --> 00:07:54,400
Speaker 1: we have an editor, we have an editor, we have

169
00:07:54,440 --> 00:07:57,480
Speaker 1: a separate colorist. Because it looks like ship and also

170
00:07:57,520 --> 00:08:00,160
Speaker 1: probably looks completely different. This is the slot they want

171
00:08:00,160 --> 00:08:00,560
Speaker 1: to give us.

172
00:08:00,960 --> 00:08:04,160
Speaker 3: And they're absolutely like hiring like Vick effects like clean

173
00:08:04,200 --> 00:08:06,440
Speaker 3: up artists to like touch up all all of those

174
00:08:06,480 --> 00:08:08,640
Speaker 3: visuals to make them like in any way publishable.

175
00:08:09,720 --> 00:08:12,600
Speaker 2: The colors were completely fucked on this, he complained, because

176
00:08:12,840 --> 00:08:14,840
Speaker 2: all of the comments on this video, which had, by

177
00:08:14,880 --> 00:08:16,720
Speaker 2: the way, for this company the big thing he was,

178
00:08:17,000 --> 00:08:19,080
Speaker 2: every one of the room clapped when they played these things.

179
00:08:19,120 --> 00:08:21,520
Speaker 2: I looked on YouTube. The best of them had like

180
00:08:21,560 --> 00:08:25,160
Speaker 2: fifty thousand views, like like someone, we're just like five

181
00:08:25,240 --> 00:08:28,960
Speaker 2: or six thousand, and the color grade. Everyone in the

182
00:08:28,960 --> 00:08:30,640
Speaker 2: comments is like, the colors on this look like shit.

183
00:08:30,720 --> 00:08:33,960
Speaker 2: His clothing changes, and Jason like referenced that and is like, yeah,

184
00:08:34,000 --> 00:08:36,079
Speaker 2: I know people had the complaint, but come on, guys,

185
00:08:36,200 --> 00:08:38,880
Speaker 2: this is the worst it's ever gonna look like that line.

186
00:08:39,200 --> 00:08:40,079
Speaker 2: That's all here.

187
00:08:40,080 --> 00:08:43,840
Speaker 5: I keep seeing. This is the dumbest chatchy BT is ever.

188
00:08:43,760 --> 00:08:44,840
Speaker 4: Gonna take a shot.

189
00:08:44,920 --> 00:08:49,839
Speaker 1: Yeah, I love that. That's also their defense. Yeah, they're like, hey, it.

190
00:08:50,000 --> 00:08:53,960
Speaker 4: Sucks, yeah all us, it's all uphill from here.

191
00:08:54,120 --> 00:08:56,600
Speaker 2: Like we've all lived through the last eight years. If

192
00:08:56,640 --> 00:08:59,880
Speaker 2: there's one thing everyone knows, it's that things only get.

193
00:09:02,559 --> 00:09:02,760
Speaker 5: Well.

194
00:09:02,800 --> 00:09:06,640
Speaker 1: My shadow theory is because I got open ayes a

195
00:09:06,960 --> 00:09:10,160
Speaker 1: one model to do typos. I hope this is not

196
00:09:10,200 --> 00:09:12,080
Speaker 1: really something I've proven in any way, And indeed the

197
00:09:12,080 --> 00:09:14,280
Speaker 1: academics of us about it have not returned my emails

198
00:09:15,400 --> 00:09:18,559
Speaker 1: due to woke and it's the I saw typos and

199
00:09:18,559 --> 00:09:20,720
Speaker 1: I'm hoping that model collapse is happening. I hope they've

200
00:09:20,760 --> 00:09:24,040
Speaker 1: fed the synthetic data into it, destroying these models, because

201
00:09:24,080 --> 00:09:26,079
Speaker 1: that would actually be the funniest and dumbest way that

202
00:09:26,160 --> 00:09:30,000
Speaker 1: chat GBT just starts like going on the fritz, because

203
00:09:30,000 --> 00:09:32,160
Speaker 1: that's what model collapse. Just for listeners who don't know,

204
00:09:32,720 --> 00:09:34,520
Speaker 1: you go back to March. You should have been listening

205
00:09:34,520 --> 00:09:36,280
Speaker 1: to all the episodes. You go, I'm not my fault.

206
00:09:36,480 --> 00:09:38,920
Speaker 1: Model collapse is when you feed instead of real training

207
00:09:39,000 --> 00:09:42,440
Speaker 1: data from real human being, synthetic stuff created by another model.

208
00:09:42,640 --> 00:09:46,800
Speaker 1: The problem is that human beings are magnificent creatures, very strange.

209
00:09:46,840 --> 00:09:49,440
Speaker 1: Our fuck ups are actually quite hard to recreate. Those

210
00:09:49,480 --> 00:09:52,080
Speaker 1: fuck ups are important for informing things like how words

211
00:09:52,200 --> 00:09:55,839
Speaker 1: and logic are created. So if you have a synthetic version,

212
00:09:55,880 --> 00:09:58,040
Speaker 1: there is something that no one really understands that fucks

213
00:09:58,040 --> 00:10:00,840
Speaker 1: the whole thing up. Anyway, they are currently feeding synthetic

214
00:10:00,880 --> 00:10:03,720
Speaker 1: data into all of these models, so what I'm hoping

215
00:10:03,760 --> 00:10:05,320
Speaker 1: is it focks them up big time, because that would

216
00:10:05,320 --> 00:10:07,040
Speaker 1: be the funniest thing because there's no fixing it.

217
00:10:07,720 --> 00:10:10,960
Speaker 2: There was a comment like that, and I think it was, uh,

218
00:10:12,760 --> 00:10:15,959
Speaker 2: let's see which one of these. Uh, I just want

219
00:10:16,000 --> 00:10:22,240
Speaker 2: to make sure I'm getting that AI Cinematic Spatial and

220
00:10:22,600 --> 00:10:26,679
Speaker 2: x R, which was which was about XR is extended Reality.

221
00:10:27,880 --> 00:10:30,200
Speaker 2: And there was a comment from I think it was

222
00:10:30,559 --> 00:10:34,000
Speaker 2: Rebecca Barkin, but I may be wrong about that. It

223
00:10:34,040 --> 00:10:35,520
Speaker 2: was it was one of the people on the panel.

224
00:10:35,559 --> 00:10:38,160
Speaker 2: It might it might have been a Katie Henson, but

225
00:10:38,240 --> 00:10:40,440
Speaker 2: like something on the lines of, hey, we're still going

226
00:10:40,440 --> 00:10:42,520
Speaker 2: to need human beings to be making stuff because like

227
00:10:42,559 --> 00:10:44,679
Speaker 2: otherwise there won't be anything to feed into the models

228
00:10:44,720 --> 00:10:48,560
Speaker 2: like they were. I forget exactly who it was. Like

229
00:10:48,600 --> 00:10:52,000
Speaker 2: that was like something I like underlined in my notes

230
00:10:52,000 --> 00:10:54,480
Speaker 2: of the panel is like, okay, so you you know

231
00:10:54,679 --> 00:10:55,680
Speaker 2: what you're doing.

232
00:10:56,200 --> 00:10:59,040
Speaker 3: It's also cool that like the point of humans is

233
00:10:59,080 --> 00:11:01,520
Speaker 3: to have is like make things to feed into a model.

234
00:11:01,679 --> 00:11:04,280
Speaker 3: That's yeah, that's all that matters, is that as long

235
00:11:04,320 --> 00:11:07,160
Speaker 3: as we can feed the model, that's fine. That's it's

236
00:11:07,160 --> 00:11:08,400
Speaker 3: the only value we have.

237
00:11:08,440 --> 00:11:10,840
Speaker 5: Here for the market, and you're here for the model. Yeah,

238
00:11:10,960 --> 00:11:12,120
Speaker 5: it was the most important thing.

239
00:11:12,200 --> 00:11:15,000
Speaker 1: And what's important to know as well, is anyone saying

240
00:11:15,040 --> 00:11:17,560
Speaker 1: that is not thinking too odd about it because they

241
00:11:17,600 --> 00:11:20,839
Speaker 1: need more training data than exists. Yes, like five to

242
00:11:20,880 --> 00:11:23,959
Speaker 1: fifteen times they don't have it. We're in the stupidest

243
00:11:23,960 --> 00:11:26,599
Speaker 1: fucking era ever. There's a power like a pad of

244
00:11:26,640 --> 00:11:28,680
Speaker 1: where people like, huh, wouldn't it be cool if a

245
00:11:28,679 --> 00:11:30,960
Speaker 1: bunch of people lost their jobs they should turn into

246
00:11:31,200 --> 00:11:32,280
Speaker 1: that scene from Kingsmen.

247
00:11:32,400 --> 00:11:35,200
Speaker 2: Yeah, like that's exactly what I thought.

248
00:11:36,840 --> 00:11:40,160
Speaker 1: Oh, I can change And it's like, this is one

249
00:11:40,200 --> 00:11:41,520
Speaker 1: of the reasons that I really wanted to pull this

250
00:11:41,559 --> 00:11:45,199
Speaker 1: together as well, because ces I don't think the WAYCS

251
00:11:45,280 --> 00:11:48,840
Speaker 1: has been covered traditionally, and actually Garon Robert really opened

252
00:11:48,880 --> 00:11:50,840
Speaker 1: my eyes to list last year because I've been avoiding

253
00:11:50,840 --> 00:11:54,240
Speaker 1: panels for the twelve odd years i've been at CES.

254
00:11:54,400 --> 00:11:57,520
Speaker 2: It's it's easily the best way to see what kind

255
00:11:57,559 --> 00:12:00,880
Speaker 2: of brainworms are going around because people up there just taught,

256
00:12:00,880 --> 00:12:03,839
Speaker 2: and that no one expects to be challenged or there

257
00:12:03,880 --> 00:12:06,520
Speaker 2: to be anyone in the room who's not completely taking

258
00:12:06,520 --> 00:12:07,160
Speaker 2: the kool aid.

259
00:12:07,640 --> 00:12:11,880
Speaker 1: But what's insane is even on the floor. I hadn't

260
00:12:11,920 --> 00:12:13,800
Speaker 1: looked at it properly. I'd always been like, I'm just

261
00:12:13,840 --> 00:12:16,480
Speaker 1: here because I have clients here. So to explain the

262
00:12:16,520 --> 00:12:18,599
Speaker 1: history of this, I've got the bar, I've got the

263
00:12:18,640 --> 00:12:21,880
Speaker 1: suite previously Ashugh's with my dear friend Kevin Roposo works

264
00:12:21,880 --> 00:12:25,480
Speaker 1: at easypr otherwise not mentioned the agency again. We would

265
00:12:25,480 --> 00:12:27,080
Speaker 1: have this suite just kind of network with people who

266
00:12:27,120 --> 00:12:28,839
Speaker 1: have clients journalists, and we stopped doing it off the

267
00:12:28,880 --> 00:12:30,880
Speaker 1: COVID just because it was a lot of fucking money

268
00:12:31,000 --> 00:12:34,199
Speaker 1: for just to piss up, which is always fun. However,

269
00:12:34,720 --> 00:12:36,080
Speaker 1: the way I used to look at the show was

270
00:12:36,120 --> 00:12:37,880
Speaker 1: just like this is all I almost like took it

271
00:12:37,920 --> 00:12:39,960
Speaker 1: in good faith. I was like these people wouldn't spend

272
00:12:40,240 --> 00:12:43,480
Speaker 1: one hundred thousand dollars in a booth where they're lying, well,

273
00:12:43,520 --> 00:12:47,400
Speaker 1: wouldn't you know? And since I started doing better offline,

274
00:12:47,400 --> 00:12:50,120
Speaker 1: and I was truthfully a bit scared when with you

275
00:12:50,160 --> 00:12:51,680
Speaker 1: too last year, I was a bit freaked down. Now

276
00:12:51,720 --> 00:12:54,520
Speaker 1: I'm not very excited, but also I was just flat

277
00:12:54,559 --> 00:12:56,640
Speaker 1: out wrong about big Tech. I thought they I really

278
00:12:56,679 --> 00:12:59,040
Speaker 1: at that point was just like, look, Facebook's evil, met

279
00:12:59,040 --> 00:13:02,079
Speaker 1: as evil. But you know they have something that they get,

280
00:13:02,120 --> 00:13:04,720
Speaker 1: something like Google, same deal. They never do something really

281
00:13:04,760 --> 00:13:09,160
Speaker 1: fucking stupid again and again, and they would and everyone

282
00:13:09,160 --> 00:13:12,040
Speaker 1: here would. And there are things that are at cos

283
00:13:12,240 --> 00:13:15,280
Speaker 1: every year that never get made. If the please, if

284
00:13:15,280 --> 00:13:18,800
Speaker 1: anyone sees the laundry folding robom, that's what.

285
00:13:19,000 --> 00:13:22,959
Speaker 2: If you see them, Yes, vaporware stories, they.

286
00:13:22,760 --> 00:13:25,800
Speaker 1: Are like they have been here. I have been coming

287
00:13:25,800 --> 00:13:28,720
Speaker 1: to see yus since twenty eleven, and those motherfuckers have

288
00:13:28,720 --> 00:13:31,200
Speaker 1: been promising to fold my laundry ever since.

289
00:13:32,240 --> 00:13:35,439
Speaker 2: Yeah, twenty ten was my first year nice and I

290
00:13:35,760 --> 00:13:38,280
Speaker 2: think what keyed me into what was really going on

291
00:13:38,360 --> 00:13:42,360
Speaker 2: here was the best like the best product in showy

292
00:13:42,840 --> 00:13:46,720
Speaker 2: that won the award was the Motorola Droid, which was

293
00:13:46,800 --> 00:13:49,120
Speaker 2: not a functional product and did not exist on the

294
00:13:49,160 --> 00:13:52,400
Speaker 2: show floor. All they had was a just the plastic

295
00:13:52,480 --> 00:13:54,840
Speaker 2: model that was working. It was basically just a like

296
00:13:55,480 --> 00:13:59,800
Speaker 2: a digital photo case that was very running, like still

297
00:14:00,080 --> 00:14:03,080
Speaker 2: extream shots off the phone would look because Android was

298
00:14:03,080 --> 00:14:05,240
Speaker 2: still new at this point and it won Best in

299
00:14:05,320 --> 00:14:08,320
Speaker 2: Show and there were functional phones at the show that year. Yeah,

300
00:14:08,360 --> 00:14:10,960
Speaker 2: and so I remember sending to one of the editors

301
00:14:10,960 --> 00:14:14,360
Speaker 2: at tech Crunch like it I feel like a right,

302
00:14:14,440 --> 00:14:17,480
Speaker 2: you know, I'm new to this like tech reporting thing,

303
00:14:17,520 --> 00:14:19,280
Speaker 2: but it's see, this seems like do you not consider

304
00:14:19,320 --> 00:14:21,560
Speaker 2: this a real problem? This seems like a like a

305
00:14:21,640 --> 00:14:24,920
Speaker 2: serious issue, Like this isn't really journalism if like, yeah,

306
00:14:24,960 --> 00:14:27,520
Speaker 2: this is what's winning here because they didn't have a phone.

307
00:14:27,600 --> 00:14:31,120
Speaker 1: If they do, what's wrong with you? But it's true, though,

308
00:14:31,160 --> 00:14:33,040
Speaker 1: there is a general sense of like no, you just

309
00:14:33,480 --> 00:14:35,360
Speaker 1: why would you be mad at this? It doesn't exist.

310
00:14:35,360 --> 00:14:36,080
Speaker 5: It was the future.

311
00:14:36,120 --> 00:14:37,680
Speaker 2: Google has at their booth.

312
00:14:37,720 --> 00:14:39,560
Speaker 1: They brought us the future. How dare you?

313
00:14:40,000 --> 00:14:40,280
Speaker 2: Yeah?

314
00:14:40,320 --> 00:14:43,080
Speaker 1: And what's crazy is that's twenty ten. Today's tech meter

315
00:14:43,200 --> 00:14:45,120
Speaker 1: is slightly upgraded, and that some of them don't do

316
00:14:45,160 --> 00:14:47,280
Speaker 1: them and actually a lot of them are here. A

317
00:14:47,280 --> 00:14:50,440
Speaker 1: lot of the reporters here generally just feel tired when

318
00:14:50,480 --> 00:14:52,120
Speaker 1: I talk to them, and when you ask them what

319
00:14:52,120 --> 00:14:54,720
Speaker 1: their favorite about the show that, they're like, Oh, like

320
00:14:55,560 --> 00:15:00,000
Speaker 1: the LG. I got this big monitor, big television.

321
00:15:00,080 --> 00:15:01,480
Speaker 2: I'm excited to see another.

322
00:15:01,680 --> 00:15:04,720
Speaker 4: I'm excited to see what new big curved TV LG.

323
00:15:05,000 --> 00:15:07,320
Speaker 5: And we're gonna build the biggest. It's gonna be the

324
00:15:07,320 --> 00:15:11,440
Speaker 5: most beautiful okay, with the most beautiful oie l O

325
00:15:11,840 --> 00:15:14,040
Speaker 5: L e eds I'm going.

326
00:15:14,720 --> 00:15:19,640
Speaker 1: But it's not what it's gonna be. But to be clear,

327
00:15:19,680 --> 00:15:22,200
Speaker 1: I love the big televisions. I love seeing big stupid

328
00:15:22,200 --> 00:15:23,520
Speaker 1: ship and I wish that was more of it.

329
00:15:23,600 --> 00:15:26,080
Speaker 2: At least the big televisions are television.

330
00:15:25,560 --> 00:15:27,840
Speaker 1: And exactly like you can't really, I guess you can

331
00:15:27,880 --> 00:15:30,160
Speaker 1: lie about like the specs and the monks and well that's.

332
00:15:30,080 --> 00:15:32,040
Speaker 2: Fun, son of a bitch Folds. I watched it.

333
00:15:33,480 --> 00:15:35,040
Speaker 1: I love all that dumb ship.

334
00:15:35,200 --> 00:15:36,360
Speaker 2: Why TV?

335
00:15:36,480 --> 00:15:40,240
Speaker 4: We have gotten so good at TV, we really have.

336
00:15:40,480 --> 00:15:44,360
Speaker 2: It's the only promise technology and it's it's.

337
00:15:44,240 --> 00:15:46,440
Speaker 5: Gonna watch you. It's gonna give you targeted at it's

338
00:15:46,480 --> 00:15:48,640
Speaker 5: gonna give you a chat thought, it's gonna beautiful.

339
00:15:48,800 --> 00:15:50,800
Speaker 2: My mate just brought a replacement for our TV like

340
00:15:50,840 --> 00:15:55,080
Speaker 2: an eighty five, And that's exciting because TV, like it's

341
00:15:55,120 --> 00:15:57,760
Speaker 2: one of those like what the fuck, how does this

342
00:15:57,920 --> 00:16:01,000
Speaker 2: the only thing that that came through? Yeah, just the.

343
00:16:00,960 --> 00:16:05,320
Speaker 4: Second Yeah it was not good. Great, it was good.

344
00:16:05,520 --> 00:16:06,920
Speaker 1: Was it like a C one?

345
00:16:07,080 --> 00:16:08,080
Speaker 4: No, it was.

346
00:16:08,480 --> 00:16:09,960
Speaker 1: It was like a dinosaur picture.

347
00:16:11,680 --> 00:16:13,800
Speaker 4: It was very it was it was very large.

348
00:16:13,840 --> 00:16:17,080
Speaker 2: And then I plugged it into my laptop then to

349
00:16:17,120 --> 00:16:18,040
Speaker 2: play my little game.

350
00:16:18,360 --> 00:16:22,040
Speaker 3: It was very large. The frame rate never quite worked properly.

351
00:16:23,800 --> 00:16:26,360
Speaker 3: All of all of the blacks like did not did

352
00:16:26,400 --> 00:16:29,720
Speaker 3: not show correctly. Everything was really crunched. Very good, very

353
00:16:29,960 --> 00:16:34,640
Speaker 3: very bad, very bad dynamic range, and it just slowly

354
00:16:34,640 --> 00:16:36,880
Speaker 3: got worse over the years. It's it's it's it's something

355
00:16:37,000 --> 00:16:38,840
Speaker 3: I'm still kind of confused by, Like what what.

356
00:16:39,160 --> 00:16:42,520
Speaker 4: What happened to River's TV? A little bit more?

357
00:16:42,560 --> 00:16:45,640
Speaker 3: A little bit, I swear, because every time, every time

358
00:16:45,680 --> 00:16:48,560
Speaker 3: I try to watch a movie, I have never.

359
00:16:48,440 --> 00:16:50,520
Speaker 1: Heard of a television started to decay.

360
00:16:51,600 --> 00:16:55,160
Speaker 3: No, this is actually becoming more more a thing. Although

361
00:16:55,200 --> 00:17:00,320
Speaker 3: TVs have been getting better, the new TVs are making

362
00:17:00,520 --> 00:17:03,800
Speaker 3: faster interesting and this is something that I've noticed mostly

363
00:17:03,880 --> 00:17:07,200
Speaker 3: due to like my friends, consumer choices. Is like I

364
00:17:07,640 --> 00:17:09,639
Speaker 3: I have a TV that my friend gave to me

365
00:17:09,720 --> 00:17:12,560
Speaker 3: like maybe like ten years ago, and it's it's like

366
00:17:12,560 --> 00:17:15,879
Speaker 3: a it's like a tenned EPLG. It works great, movies

367
00:17:15,920 --> 00:17:18,560
Speaker 3: look good. It's not four K, but it's fine. And

368
00:17:18,640 --> 00:17:21,320
Speaker 3: he's gone through like three TV since then that have

369
00:17:21,480 --> 00:17:24,320
Speaker 3: all like broken right, They've all had like, they've all

370
00:17:24,359 --> 00:17:27,000
Speaker 3: had like better specs, they've all like looked really good,

371
00:17:27,240 --> 00:17:28,960
Speaker 3: and then every once in a while something just goes

372
00:17:29,000 --> 00:17:32,439
Speaker 3: like oddly wrong. And this has just become like a

373
00:17:32,480 --> 00:17:37,479
Speaker 3: new pattern with UH, with Panasonics, with LG's, with Sony TV's,

374
00:17:38,480 --> 00:17:41,760
Speaker 3: and although we are getting quite good at like making TVs,

375
00:17:42,080 --> 00:17:45,000
Speaker 3: I feel like their lifespan is kind of shrinking. And

376
00:17:45,440 --> 00:17:46,879
Speaker 3: maybe it's something that I want to like talk to

377
00:17:46,880 --> 00:17:48,560
Speaker 3: people at CS about.

378
00:17:49,040 --> 00:17:52,240
Speaker 1: Honestly, it sounds like consumer electronics in general. I mean,

379
00:17:52,560 --> 00:17:55,119
Speaker 1: my fucking iPhone's brand new, and even then it's fucking

380
00:17:55,200 --> 00:17:58,320
Speaker 1: up already. Yeah, this is early schedule. Shit, we usually

381
00:17:58,320 --> 00:18:00,879
Speaker 1: saved this bad boy for April. That's usually when the

382
00:18:00,880 --> 00:18:04,320
Speaker 1: obsolescence comes in. But now it's just my new favorite

383
00:18:04,320 --> 00:18:07,920
Speaker 1: thing that my fifteen hundred dollars fucking cell phone does

384
00:18:08,280 --> 00:18:10,400
Speaker 1: is when I try and add a song to a playlist.

385
00:18:10,640 --> 00:18:12,679
Speaker 1: I know it's an edge case. No one does that,

386
00:18:13,960 --> 00:18:16,600
Speaker 1: but I did that and it just crashes Apple Music.

387
00:18:16,640 --> 00:18:19,320
Speaker 2: Now I can only add it reasonable burden.

388
00:18:19,400 --> 00:18:19,800
Speaker 1: Yeah, I know.

389
00:18:19,840 --> 00:18:22,080
Speaker 2: Why wouldn't only got eight cores?

390
00:18:23,520 --> 00:18:26,160
Speaker 1: They only have a specialized piece of silicon in it

391
00:18:26,240 --> 00:18:26,800
Speaker 1: to make it work.

392
00:18:27,160 --> 00:18:29,240
Speaker 2: What sixteen gigs a RAM? You can't handle that on

393
00:18:29,320 --> 00:18:30,240
Speaker 2: sixteen gigs a RAM.

394
00:18:30,359 --> 00:18:32,199
Speaker 1: No, I need my fucking MacBook Pro to do that.

395
00:18:32,240 --> 00:18:36,000
Speaker 1: For my eight chrome types. I can have so format

396
00:18:36,119 --> 00:18:39,640
Speaker 1: change Edwon Graso Junior. Please introduce yourself. Tell everyone about

397
00:18:39,640 --> 00:18:40,000
Speaker 1: your work.

398
00:18:40,440 --> 00:18:46,560
Speaker 5: Okay, I am a tech writer. Write about tech. I

399
00:18:46,560 --> 00:18:50,080
Speaker 5: write about finance, or write about labor a Silicon Valley,

400
00:18:50,119 --> 00:18:54,040
Speaker 5: generally in anything that it's you know, tentacles touch.

401
00:18:55,760 --> 00:18:56,840
Speaker 1: Where'd you write?

402
00:18:57,800 --> 00:19:03,639
Speaker 5: I started advice, Freelance now magazine's news outlet. It's anywhere

403
00:19:03,640 --> 00:19:05,960
Speaker 5: that will let me rant apout Silicon Valley basically.

404
00:19:06,359 --> 00:19:09,640
Speaker 1: So I brought ed here because he wrote many great things.

405
00:19:09,640 --> 00:19:11,800
Speaker 1: But one of my favorite things is is kra Swisher piece.

406
00:19:13,200 --> 00:19:15,800
Speaker 1: It's a beautiful piece of right the burn book review

407
00:19:16,119 --> 00:19:18,600
Speaker 1: where you just really put the boots to her. But

408
00:19:18,640 --> 00:19:21,119
Speaker 1: I think c Yes is probably the most Swisher coded

409
00:19:21,119 --> 00:19:24,040
Speaker 1: event for a thing she's never been to, and I

410
00:19:24,040 --> 00:19:26,560
Speaker 1: think it's jarring for the same reason, and that everyone's

411
00:19:26,640 --> 00:19:29,359
Speaker 1: kind of just accepting a reality that isn't true but

412
00:19:29,440 --> 00:19:32,600
Speaker 1: pretending to care. And it's frustrating. And I'm glad you're

413
00:19:32,640 --> 00:19:34,960
Speaker 1: here to see this. This is your only ces, right, Yeah,

414
00:19:35,119 --> 00:19:42,159
Speaker 1: my first time. I'm very excited. Linda Yakarino. You're going

415
00:19:42,200 --> 00:19:42,679
Speaker 1: to listen to.

416
00:19:44,200 --> 00:19:45,119
Speaker 2: She's doing a s feeture.

417
00:19:45,240 --> 00:19:48,600
Speaker 3: She has she has the ex Corporation keynote tomorrow.

418
00:19:48,840 --> 00:19:49,160
Speaker 2: I eat.

419
00:19:50,200 --> 00:19:52,359
Speaker 3: Oh, I don't worry, Robert, I I already have it

420
00:19:52,400 --> 00:19:53,200
Speaker 3: in your schedule.

421
00:19:54,560 --> 00:19:56,200
Speaker 1: I'm so glad you make his schedules.

422
00:19:56,400 --> 00:19:58,640
Speaker 2: The thing, I don't bring guns to these things because

423
00:19:58,640 --> 00:20:02,040
Speaker 2: I would just myself, like have I just take care

424
00:20:02,080 --> 00:20:03,840
Speaker 2: of that problem in my hotel room.

425
00:20:03,880 --> 00:20:05,879
Speaker 1: Well, you don't look for half an hour going like

426
00:20:06,080 --> 00:20:09,920
Speaker 1: X is the place where it happens and that's the tea. Well,

427
00:20:09,920 --> 00:20:12,520
Speaker 1: I can't wait for you to hear Yakarino talk because

428
00:20:13,400 --> 00:20:22,280
Speaker 1: I'm she's a real yak Aino. Yeah. Sorry, but also

429
00:20:22,440 --> 00:20:26,680
Speaker 1: I'm looking forward to it because well, you're African American. Yeah,

430
00:20:26,760 --> 00:20:28,760
Speaker 1: and I truly do not know how they're going to

431
00:20:28,800 --> 00:20:31,199
Speaker 1: treat you on the floor. Yeah, I don't know how

432
00:20:31,240 --> 00:20:32,040
Speaker 1: they're going to act.

433
00:20:32,119 --> 00:20:34,280
Speaker 5: Yeah, I mean, do we think the school measures are

434
00:20:34,320 --> 00:20:36,640
Speaker 5: going to be out in force? For the ex offender.

435
00:20:36,680 --> 00:20:38,800
Speaker 1: There'll be a guy like really excitedly calling you over.

436
00:20:38,840 --> 00:20:40,280
Speaker 1: He's like, no, we got ai to do this now

437
00:20:40,320 --> 00:20:42,960
Speaker 1: and use my ray bands.

438
00:20:43,400 --> 00:20:46,160
Speaker 5: Oh, it's gonna it's gonna be interesting. I'm very I'm

439
00:20:46,160 --> 00:20:49,440
Speaker 5: also gonna be curious what the hell they're even talking about.

440
00:20:49,520 --> 00:20:51,080
Speaker 5: I'm trying to go in with as little info as

441
00:20:51,119 --> 00:20:54,280
Speaker 5: possible so I can take it in objectively without bias.

442
00:20:54,400 --> 00:20:57,720
Speaker 2: It's like watching Queer. You really just show ye, take

443
00:20:57,760 --> 00:20:58,399
Speaker 2: it all it you know.

444
00:20:58,440 --> 00:20:59,440
Speaker 5: I'm here for the journey.

445
00:20:59,600 --> 00:21:02,160
Speaker 1: Yeah, yeah, And I think that's important as well, because

446
00:21:02,160 --> 00:21:04,399
Speaker 1: that's exactly what I am here for. I want this

447
00:21:04,480 --> 00:21:07,000
Speaker 1: to be a journey. And there are multiple reporters joining us.

448
00:21:07,000 --> 00:21:09,400
Speaker 1: We have Jesse Farrah from Your Kickstarts as Sucks of course,

449
00:21:09,400 --> 00:21:12,639
Speaker 1: and David Roth of course, my second elf. That's what

450
00:21:12,720 --> 00:21:14,920
Speaker 1: I was calling them in my head, of the reporters

451
00:21:15,000 --> 00:21:16,960
Speaker 1: I hired, that's what I'm calling them now, the Elves.

452
00:21:17,280 --> 00:21:20,720
Speaker 1: David Roth of Defecta, a sports journalist, will be joining

453
00:21:20,760 --> 00:21:22,960
Speaker 1: us tomorrow and for the rest of the week other

454
00:21:23,040 --> 00:21:25,520
Speaker 1: than for our spa day on Saturday, which is very unfair,

455
00:21:26,000 --> 00:21:30,600
Speaker 1: very nasty. And right now, our bartender Phil Braun. Now

456
00:21:30,640 --> 00:21:32,240
Speaker 1: you're speaking to the microphone and say hello Phil.

457
00:21:32,920 --> 00:21:33,240
Speaker 5: Hello.

458
00:21:33,840 --> 00:21:36,040
Speaker 1: We will have a full rundown of Phil at some

459
00:21:36,200 --> 00:21:39,240
Speaker 1: point later in the week. But Phil has been joining

460
00:21:39,240 --> 00:21:41,679
Speaker 1: as the bartender here for years and he just handed

461
00:21:41,720 --> 00:21:45,439
Speaker 1: me some so tall, so tall. I'm saying this.

462
00:21:46,720 --> 00:21:48,399
Speaker 5: That's right, it's good.

463
00:21:48,720 --> 00:21:52,080
Speaker 1: I nailed that. It's kind of but that's the thing.

464
00:21:52,119 --> 00:21:55,359
Speaker 1: The whole point of this is journalists come here in

465
00:21:55,400 --> 00:21:58,240
Speaker 1: this oasis. This is the oasis in the middle of

466
00:21:58,240 --> 00:22:00,479
Speaker 1: the bullship. Because see, yes I was telling it earlier.

467
00:22:00,680 --> 00:22:01,960
Speaker 1: There is nowhere to sit down.

468
00:22:02,480 --> 00:22:04,160
Speaker 4: No, they always want you to moving.

469
00:22:04,400 --> 00:22:07,120
Speaker 2: They want you to keep on, keep on traveling through.

470
00:22:07,160 --> 00:22:07,840
Speaker 2: It's like a casino.

471
00:22:09,600 --> 00:22:11,840
Speaker 1: No, you can find place, plenty of places to sit

472
00:22:11,920 --> 00:22:15,680
Speaker 1: down in casinos. This horrible place is an insult to

473
00:22:15,960 --> 00:22:19,719
Speaker 1: our beautiful slot machines and our beautiful tables that we have.

474
00:22:20,040 --> 00:22:21,680
Speaker 1: And they'll get you a seat at the table. Don't worry.

475
00:22:21,720 --> 00:22:24,600
Speaker 1: Please come to my money. And Phil right now is

476
00:22:24,640 --> 00:22:27,240
Speaker 1: gesturing because Phil is our wonderful bartenderho is bringing us

477
00:22:27,320 --> 00:22:29,399
Speaker 1: drinks as the show goes, Probably not on the first

478
00:22:29,400 --> 00:22:31,320
Speaker 1: half episodes, definitely on the.

479
00:22:31,280 --> 00:22:37,040
Speaker 2: Second Paloma, Okay, can I get something with the kill?

480
00:22:37,080 --> 00:22:41,480
Speaker 1: Wow? I don't give that went flawlessly? Yeah, that was

481
00:22:42,080 --> 00:22:44,560
Speaker 1: that was an example of the bar working, but actually

482
00:22:44,560 --> 00:22:45,760
Speaker 1: that is actually the bar working.

483
00:22:45,800 --> 00:22:45,960
Speaker 3: Well.

484
00:22:46,119 --> 00:22:48,879
Speaker 1: No. So the point of this week, though, is we

485
00:22:48,920 --> 00:22:51,200
Speaker 1: want to be the oasis within a tech industry gone

486
00:22:51,200 --> 00:22:53,840
Speaker 1: wrong and a conference that's gone wrong. No one likes

487
00:22:53,880 --> 00:22:56,800
Speaker 1: coming here to cover this. No one is excited, everyone's depressed.

488
00:22:57,000 --> 00:22:59,800
Speaker 1: We will not be. We will be probably not, in

489
00:22:59,800 --> 00:23:02,240
Speaker 1: my case, sloppy, just in case the lawyers ask. But

490
00:23:02,280 --> 00:23:05,159
Speaker 1: everyone else can be. Well, the reporters we bring here.

491
00:23:05,240 --> 00:23:09,320
Speaker 1: We're gonna have two episodes each day, ninety episodes. Jesus

492
00:23:09,400 --> 00:23:13,720
Speaker 1: Christ's already doing great, and it's gonna be a lot.

493
00:23:14,040 --> 00:23:17,240
Speaker 1: But I want to bring you diverse voices. I want

494
00:23:17,280 --> 00:23:19,040
Speaker 1: to bring you the people that have been here forever

495
00:23:19,080 --> 00:23:20,720
Speaker 1: and the people who are just being exposed to this.

496
00:23:20,800 --> 00:23:23,040
Speaker 1: The reason we have Ed and David is we really

497
00:23:23,040 --> 00:23:26,000
Speaker 1: don't want this to be a fucking tech no offense

498
00:23:26,000 --> 00:23:27,359
Speaker 1: to techn it. We don't want this to be a

499
00:23:27,400 --> 00:23:29,679
Speaker 1: tech reported thing. We actually want this to be a

500
00:23:29,760 --> 00:23:38,840
Speaker 1: temperature check of this industry.

501
00:23:42,960 --> 00:23:45,080
Speaker 2: You know that I always there's a lot to like

502
00:23:45,920 --> 00:23:48,000
Speaker 2: roll my eyes out and be frustrated by. I always

503
00:23:48,040 --> 00:23:51,119
Speaker 2: really like CEES. And when Gear first started coming to this,

504
00:23:51,680 --> 00:23:54,600
Speaker 2: the way I explained your job at CEES as a

505
00:23:54,600 --> 00:23:57,440
Speaker 2: good journalist is you are here to be a terrorist,

506
00:23:58,400 --> 00:24:02,120
Speaker 2: find the richest asshole you can find and makes their day.

507
00:24:02,320 --> 00:24:03,000
Speaker 1: That is a joke.

508
00:24:03,440 --> 00:24:07,240
Speaker 2: No, not in a legal sense, but in an emotional

509
00:24:08,560 --> 00:24:13,680
Speaker 2: terrorize there, harass them over something that overlies that they're talent.

510
00:24:13,720 --> 00:24:18,560
Speaker 3: Well yeah, and like the the hive mind, like group

511
00:24:18,600 --> 00:24:20,920
Speaker 3: think mentality here is like crazy because you you will

512
00:24:20,960 --> 00:24:23,760
Speaker 3: walk into a panel and you you will start hearing

513
00:24:23,760 --> 00:24:26,359
Speaker 3: people say like insane ship and you look around to

514
00:24:26,400 --> 00:24:29,280
Speaker 3: be like ha ha ha, that's crazy, right, and everyone's

515
00:24:29,400 --> 00:24:33,280
Speaker 3: like no, not a long enthusiastically, and it slightly makes

516
00:24:33,280 --> 00:24:34,560
Speaker 3: you question your own sanity.

517
00:24:35,520 --> 00:24:38,680
Speaker 4: Never once there was a complete certainty.

518
00:24:39,160 --> 00:24:41,240
Speaker 1: Someone I would posted on Twitter the other day They're like,

519
00:24:41,560 --> 00:24:44,680
Speaker 1: would you trust a clone of yourself? And everyone was

520
00:24:44,720 --> 00:24:48,760
Speaker 1: like I wouldn't. I be like absolutely, it's we would

521
00:24:48,800 --> 00:24:52,600
Speaker 1: fucking cook anyway. Complete certain But it's so weird though,

522
00:24:52,600 --> 00:24:54,920
Speaker 1: You're right, and people walk around and like damn, really

523
00:24:55,280 --> 00:24:57,520
Speaker 1: so the AI for my pant, how's that going to work?

524
00:24:58,160 --> 00:25:01,320
Speaker 3: It's crazy, and it like because everyone is so bought

525
00:25:01,320 --> 00:25:04,840
Speaker 3: into it. If you make any objection during like any

526
00:25:04,920 --> 00:25:06,959
Speaker 3: kind of like shocking, any kind of Q and a panel,

527
00:25:07,200 --> 00:25:12,600
Speaker 3: like people like are so surprised. It's it's like it's

528
00:25:12,600 --> 00:25:15,200
Speaker 3: like you're a heretic. It's it's it's it's it's it's insane.

529
00:25:15,480 --> 00:25:18,680
Speaker 3: It's like you don't believe in like the project of humanity.

530
00:25:19,040 --> 00:25:20,639
Speaker 1: Two of these people, it's like you don't believe in

531
00:25:20,640 --> 00:25:21,880
Speaker 1: Santa Claus.

532
00:25:21,520 --> 00:25:25,800
Speaker 2: My sex wild one of these. When Rugged super Rugged

533
00:25:25,920 --> 00:25:28,560
Speaker 2: speakers were like a massive product that you could find

534
00:25:28,600 --> 00:25:30,800
Speaker 2: like half a dozen booths selling them. I would just

535
00:25:30,840 --> 00:25:32,720
Speaker 2: go there and I would ask, can I can I

536
00:25:32,760 --> 00:25:34,600
Speaker 2: test them out? Can I like drop them and stuff?

537
00:25:34,800 --> 00:25:36,800
Speaker 2: And then I would pick up the heaviest object block

538
00:25:36,800 --> 00:25:38,880
Speaker 2: because they usually had like flogs or something to post

539
00:25:38,920 --> 00:25:41,159
Speaker 2: them on, and I would just break stuff on the

540
00:25:41,200 --> 00:25:45,240
Speaker 2: show floor and it worked every time. They would always break,

541
00:25:45,400 --> 00:25:48,240
Speaker 2: oh a bunch of stuff. And I learned that from

542
00:25:48,320 --> 00:25:50,360
Speaker 2: we went to see a demo where they were they

543
00:25:50,359 --> 00:25:53,720
Speaker 2: were showing off like an indestructible smartphone and they were

544
00:25:53,760 --> 00:25:56,360
Speaker 2: doing it by like they pulled out all the journalists.

545
00:25:56,359 --> 00:25:58,040
Speaker 2: I think we were in front of Caesar's palace and

546
00:25:58,080 --> 00:26:00,800
Speaker 2: they were driving a limousine over the phone and then

547
00:26:00,800 --> 00:26:02,080
Speaker 2: they would do it, and then the next troop of

548
00:26:02,160 --> 00:26:03,840
Speaker 2: journals would come up and they would let a journalist

549
00:26:03,840 --> 00:26:06,240
Speaker 2: set it down. And I don't know who this was.

550
00:26:06,240 --> 00:26:07,760
Speaker 2: I wish i'd gotten his name, because he taught me

551
00:26:07,760 --> 00:26:09,760
Speaker 2: one of the best lessons I ever learned. They were

552
00:26:09,840 --> 00:26:12,640
Speaker 2: laying the phones flat, and he just wedged it under

553
00:26:12,640 --> 00:26:15,240
Speaker 2: the wheel on its side, and they just drove over

554
00:26:15,440 --> 00:26:15,960
Speaker 2: just to stop it.

555
00:26:16,200 --> 00:26:19,480
Speaker 4: Yeah, that's that's.

556
00:26:19,280 --> 00:26:20,240
Speaker 2: Being a journalist.

557
00:26:20,440 --> 00:26:24,280
Speaker 1: Yeah, but actually that's a very good metaphor for what's

558
00:26:24,280 --> 00:26:27,120
Speaker 1: going on at the moment. Everyone's like, well, they say

559
00:26:27,160 --> 00:26:28,760
Speaker 1: it works, we'll be fun.

560
00:26:28,960 --> 00:26:30,080
Speaker 5: Would they lie about it?

561
00:26:30,119 --> 00:26:34,680
Speaker 1: Why would they possibly lie about chat GPT becoming super intelligence?

562
00:26:34,960 --> 00:26:35,399
Speaker 2: Do you hear that?

563
00:26:35,480 --> 00:26:39,360
Speaker 1: Fucking Samuel? That motherfucker. He's not here. He's not here.

564
00:26:39,400 --> 00:26:42,399
Speaker 1: This is, by comparison, this is pretty real stuff. Where's

565
00:26:42,400 --> 00:26:45,199
Speaker 1: Sam Olman? He should be giving like a vacuous keynote

566
00:26:45,200 --> 00:26:46,880
Speaker 1: about how this is going to replace doctors.

567
00:26:46,920 --> 00:26:47,920
Speaker 5: He's doing the real work.

568
00:26:48,080 --> 00:26:50,640
Speaker 1: He's doing the real work building by which he means

569
00:26:50,640 --> 00:26:53,080
Speaker 1: trying to like leverage his his startup capital.

570
00:26:53,160 --> 00:26:55,639
Speaker 2: As I read today, we're just thousands of days away from.

571
00:27:00,119 --> 00:27:01,919
Speaker 1: That was said a few months ago, so we're actually

572
00:27:01,960 --> 00:27:03,320
Speaker 1: about nine hundred and.

573
00:27:03,760 --> 00:27:06,840
Speaker 4: That was a few thousand days.

574
00:27:07,160 --> 00:27:10,760
Speaker 1: I love that, Honestly, I need to set a calendar

575
00:27:10,920 --> 00:27:14,520
Speaker 1: invite for that. I need days from now, because I

576
00:27:14,560 --> 00:27:17,560
Speaker 1: have Sam Worman's number and he is yet too. Takes

577
00:27:17,600 --> 00:27:17,960
Speaker 1: me back.

578
00:27:18,200 --> 00:27:19,400
Speaker 4: Oh I am.

579
00:27:19,440 --> 00:27:21,879
Speaker 3: I am bummed that we haven't seen Palenteer here in

580
00:27:21,920 --> 00:27:24,040
Speaker 3: recent years, because oh, they've.

581
00:27:23,840 --> 00:27:24,520
Speaker 1: Seen you though I.

582
00:27:26,600 --> 00:27:28,800
Speaker 2: Showed up. I can say this now. We showed up

583
00:27:28,800 --> 00:27:31,840
Speaker 2: with a flipper zero and we're just turning off all

584
00:27:31,920 --> 00:27:35,520
Speaker 2: of the televisions at the Pallenteer boo. They were doing demos.

585
00:27:40,320 --> 00:27:45,240
Speaker 1: Oh oh, someone probably got fired about it. Actually know,

586
00:27:45,480 --> 00:27:50,440
Speaker 1: someone was probably like, oh i'll fix this. No, someone

587
00:27:50,480 --> 00:27:53,600
Speaker 1: did that one ces and they got in a lot

588
00:27:53,640 --> 00:27:56,199
Speaker 1: of drops. Oh yeah, because they video themselves doing it,

589
00:27:56,200 --> 00:27:58,119
Speaker 1: which is the classic thing you do with crime.

590
00:27:58,200 --> 00:27:59,760
Speaker 2: Yeah, I remember that, which is why I did not

591
00:28:00,119 --> 00:28:01,960
Speaker 2: about it except the shelf exactly.

592
00:28:01,960 --> 00:28:03,240
Speaker 1: You put it on a podcast years later.

593
00:28:03,320 --> 00:28:03,959
Speaker 2: Yeah, I approved.

594
00:28:03,960 --> 00:28:06,920
Speaker 1: You did it once. Yes, I did try a bit

595
00:28:07,000 --> 00:28:09,640
Speaker 1: three or four times before I started getting anxious, which

596
00:28:09,720 --> 00:28:11,439
Speaker 1: was I would just pick up something and ask if

597
00:28:11,440 --> 00:28:14,560
Speaker 1: I could have it, and just like picked up the

598
00:28:14,600 --> 00:28:14,800
Speaker 1: edge of it.

599
00:28:15,080 --> 00:28:15,480
Speaker 2: Can I have this?

600
00:28:15,560 --> 00:28:16,720
Speaker 1: And they look at you and they're like.

601
00:28:19,960 --> 00:28:22,119
Speaker 4: Like sometimes they say yes though, which is why you

602
00:28:22,160 --> 00:28:24,439
Speaker 4: have to do it every lot of free sh You

603
00:28:24,520 --> 00:28:28,000
Speaker 4: actually really can't surprisingly walk away with some really odd stuff.

604
00:28:28,280 --> 00:28:32,639
Speaker 1: I bet they. Eventually a security person looked at me

605
00:28:33,040 --> 00:28:36,159
Speaker 1: in a kind of like should I memorize this guy's face? Well,

606
00:28:37,160 --> 00:28:39,320
Speaker 1: and I thought, I don't want to be arrested at

607
00:28:39,360 --> 00:28:43,360
Speaker 1: fucking ces. No. My lawyer will just be like again.

608
00:28:43,960 --> 00:28:46,320
Speaker 2: I'm not coming to your arraignment. Yeah, I know you're

609
00:28:46,320 --> 00:28:48,240
Speaker 2: on your own bit. I know you're paid up, but

610
00:28:48,240 --> 00:28:49,040
Speaker 2: I'm not doing you.

611
00:28:49,040 --> 00:28:52,760
Speaker 1: Fucking work this out, smart guy. Yeah, well you pick up,

612
00:28:53,000 --> 00:28:54,760
Speaker 1: pick up the judges gavel and ask if you can

613
00:28:54,800 --> 00:28:56,520
Speaker 1: have this? Click fucking ydie.

614
00:28:56,560 --> 00:28:58,520
Speaker 2: Well, speaking as a judge, that's very offensive.

615
00:28:58,560 --> 00:28:59,680
Speaker 1: Are you you were judged?

616
00:28:59,760 --> 00:28:59,960
Speaker 2: Yes?

617
00:29:00,480 --> 00:29:00,560
Speaker 1: What?

618
00:29:00,920 --> 00:29:00,960
Speaker 5: No?

619
00:29:01,120 --> 00:29:01,760
Speaker 1: This is not good.

620
00:29:02,000 --> 00:29:04,440
Speaker 2: This is a punicipal judge for the state of New Mexico.

621
00:29:04,520 --> 00:29:05,640
Speaker 2: I got sworn in. I'm good.

622
00:29:05,960 --> 00:29:06,600
Speaker 1: What the fuck?

623
00:29:06,720 --> 00:29:07,560
Speaker 4: Right next door?

624
00:29:07,720 --> 00:29:12,560
Speaker 2: Right next door, very high the border. A fan of

625
00:29:12,600 --> 00:29:14,640
Speaker 2: mine is a judge and was like, did you know

626
00:29:14,720 --> 00:29:20,840
Speaker 2: that judges can just make other judges? Like thing, I gotta,

627
00:29:20,960 --> 00:29:22,240
Speaker 2: I gotta.

628
00:29:23,440 --> 00:29:25,320
Speaker 4: You can make all of us judges.

629
00:29:25,560 --> 00:29:29,280
Speaker 2: No, it's again, it's it's it's interview with the vampire rules. Okay,

630
00:29:29,320 --> 00:29:32,200
Speaker 2: so the youngest vampire does not have the power to

631
00:29:32,240 --> 00:29:35,840
Speaker 2: make other vamps, and it's kind of unclear to me.

632
00:29:35,920 --> 00:29:36,800
Speaker 4: Your mate does.

633
00:29:37,160 --> 00:29:39,680
Speaker 2: Yes, yes, I's still the start of this situation.

634
00:29:39,920 --> 00:29:43,000
Speaker 1: But I can't how do I become an older vampire though?

635
00:29:43,040 --> 00:29:45,000
Speaker 1: Because you realize that my goal here is not just

636
00:29:45,000 --> 00:29:47,960
Speaker 1: to become a judge myself, but start making more judges.

637
00:29:47,840 --> 00:29:49,800
Speaker 2: That I don't know, because I have not looked up

638
00:29:49,840 --> 00:29:50,760
Speaker 2: anything about Dodge.

639
00:29:51,480 --> 00:29:53,280
Speaker 3: This would be all I'd look We got to ask

640
00:29:53,320 --> 00:29:56,160
Speaker 3: the people this, but they have to know.

641
00:29:56,480 --> 00:29:58,880
Speaker 1: I would get made to judge, and then the first

642
00:29:58,880 --> 00:30:01,760
Speaker 1: thing I would be googling is how to make more judge,

643
00:30:01,960 --> 00:30:03,640
Speaker 1: and I would be making those.

644
00:30:03,440 --> 00:30:05,720
Speaker 5: Of your first five judges that you're making.

645
00:30:05,640 --> 00:30:08,480
Speaker 1: I mean all of you other than Robert obviously, I

646
00:30:08,520 --> 00:30:10,640
Speaker 1: would know. It would be like the entirety of cool

647
00:30:10,680 --> 00:30:12,360
Speaker 1: Zone media. You make everyone judges.

648
00:30:12,560 --> 00:30:14,480
Speaker 2: Yeah, and then we can all go We can all

649
00:30:14,480 --> 00:30:19,640
Speaker 2: go to New Mexico and do a blood Meridian fuck yeah, yeah,

650
00:30:20,000 --> 00:30:21,880
Speaker 2: well yeah, there was actually a lot of child if

651
00:30:21,880 --> 00:30:22,760
Speaker 2: you send that guys back.

652
00:30:24,200 --> 00:30:25,880
Speaker 1: So this is the format that you're going to have

653
00:30:25,920 --> 00:30:28,400
Speaker 1: for the entire week with Better Offline. Because this is

654
00:30:28,440 --> 00:30:31,000
Speaker 1: also something because after a year of doing this, I'm

655
00:30:31,040 --> 00:30:33,360
Speaker 1: just trying everything, and I do think that Tech also

656
00:30:33,440 --> 00:30:35,480
Speaker 1: kind of needs a talk show. And the reason I

657
00:30:35,600 --> 00:30:38,480
Speaker 1: say that is Tech has got everything. It's got finance,

658
00:30:38,560 --> 00:30:41,400
Speaker 1: it's got basically sports team shit. Do you like anthropic?

659
00:30:41,400 --> 00:30:43,720
Speaker 1: Do you like open ai? And the thing is that

660
00:30:43,760 --> 00:30:47,840
Speaker 1: really is like a let's think Cowboys jet situation, and

661
00:30:47,960 --> 00:30:51,480
Speaker 1: that's gonna hurt someone's feelings. I'm very happy about that anyway,

662
00:30:51,560 --> 00:30:53,520
Speaker 1: moving on from them, you've also got a bunch of

663
00:30:53,520 --> 00:30:55,360
Speaker 1: gossip and you've got a bunch of shittheads that you

664
00:30:55,400 --> 00:30:57,520
Speaker 1: can be pissed off at an actual, real events And

665
00:30:57,600 --> 00:31:00,880
Speaker 1: I just think that nails. This format nail. And that's

666
00:31:00,920 --> 00:31:02,920
Speaker 1: why I'm excited to start with all of you, because

667
00:31:03,000 --> 00:31:05,200
Speaker 1: at the end of the first day, everyone feels a

668
00:31:05,240 --> 00:31:08,560
Speaker 1: certain way dread for the rest of the week, sad

669
00:31:08,600 --> 00:31:11,400
Speaker 1: about the horrible things they saw, or just wondering why

670
00:31:11,400 --> 00:31:13,640
Speaker 1: they're doing the fucking job they're doing. They just no,

671
00:31:13,640 --> 00:31:15,920
Speaker 1: none of us in this room. It's just very It's

672
00:31:15,960 --> 00:31:19,040
Speaker 1: an interesting way when you talk to the tech media

673
00:31:19,080 --> 00:31:21,240
Speaker 1: to see how they are doing, but also people who work.

674
00:31:21,320 --> 00:31:22,960
Speaker 1: I wish I could get more people off the floor,

675
00:31:23,000 --> 00:31:25,320
Speaker 1: but I don't want fucking companies on here. That would

676
00:31:25,360 --> 00:31:26,000
Speaker 1: be so boring.

677
00:31:26,640 --> 00:31:30,520
Speaker 5: How did you feel your first cushen and you're going

678
00:31:30,560 --> 00:31:32,520
Speaker 5: around on So I was just a child back then,

679
00:31:32,600 --> 00:31:33,920
Speaker 5: I was twenty eleven.

680
00:31:34,000 --> 00:31:36,920
Speaker 1: I can't do imagine. Yeah, when I was a young boy.

681
00:31:38,640 --> 00:31:39,000
Speaker 2: That one.

682
00:31:39,040 --> 00:31:41,640
Speaker 1: I have some stories I can't tell, but I was

683
00:31:41,680 --> 00:31:43,800
Speaker 1: a young I was a young PR person and I

684
00:31:43,840 --> 00:31:46,719
Speaker 1: loved it because it was like twenty eleven, so before

685
00:31:46,760 --> 00:31:49,840
Speaker 1: we realized tech had problems, we were just like ignoring them.

686
00:31:49,960 --> 00:31:52,560
Speaker 2: Well, and this was back to when the porn industry

687
00:31:52,600 --> 00:31:54,400
Speaker 2: trade show was at the same time.

688
00:31:54,480 --> 00:31:55,719
Speaker 1: How I was terrified for them.

689
00:31:56,160 --> 00:31:59,280
Speaker 2: I watched Steve Balmer get out of a fucking h

690
00:31:59,840 --> 00:32:02,840
Speaker 2: L elevator with two porn stars that were even taller

691
00:32:02,880 --> 00:32:04,640
Speaker 2: than him, and he is massive.

692
00:32:04,720 --> 00:32:04,960
Speaker 1: It was.

693
00:32:05,240 --> 00:32:08,040
Speaker 2: It was amazing just from me. It was like watching

694
00:32:08,200 --> 00:32:11,680
Speaker 2: Greek gods straight across the field. Yeah, the goad of

695
00:32:11,760 --> 00:32:15,800
Speaker 2: sweat he did smell exactly like, yeah, you smoke crazy

696
00:32:16,440 --> 00:32:18,880
Speaker 2: and I leaked that to another tech pub.

697
00:32:19,040 --> 00:32:25,240
Speaker 1: Very that's fucking journalism, right, But my first used to

698
00:32:25,280 --> 00:32:28,320
Speaker 1: be fun when I was stupid, when I was just like, oh,

699
00:32:28,400 --> 00:32:30,480
Speaker 1: this will happen. And also twenty eleven there was still

700
00:32:30,520 --> 00:32:32,560
Speaker 1: new lands to Conka. They still had new fun things

701
00:32:32,640 --> 00:32:34,640
Speaker 1: to find, new things that they could make that they

702
00:32:34,640 --> 00:32:36,560
Speaker 1: could actually make good on. I think it's been like

703
00:32:36,800 --> 00:32:38,600
Speaker 1: five or six years of them just being like, we

704
00:32:38,640 --> 00:32:40,360
Speaker 1: don't have it, there's nothing.

705
00:32:40,160 --> 00:32:41,080
Speaker 2: That we've got, nothing else.

706
00:32:41,320 --> 00:32:42,400
Speaker 4: It's it's like I was.

707
00:32:42,320 --> 00:32:45,160
Speaker 3: So lucky that my first es the big thing was

708
00:32:45,200 --> 00:32:47,200
Speaker 3: like crypto NFTs and.

709
00:32:47,240 --> 00:32:48,240
Speaker 4: So like like.

710
00:32:49,800 --> 00:32:53,160
Speaker 1: So one of the lasting industries I knew.

711
00:32:53,000 --> 00:32:55,720
Speaker 3: Going into that, like everything I hear here, everything I

712
00:32:55,720 --> 00:32:57,200
Speaker 3: hear in this convention is complete bullshit.

713
00:32:57,320 --> 00:32:57,480
Speaker 2: Yeah.

714
00:32:57,600 --> 00:32:59,560
Speaker 3: And then the next year I came, the big thing

715
00:32:59,680 --> 00:33:03,520
Speaker 3: was the metaverse. So again everything I hear here is bullshit.

716
00:33:03,680 --> 00:33:05,920
Speaker 4: Yeah. And you've just been able.

717
00:33:05,720 --> 00:33:07,640
Speaker 3: To like slowly watch the life and drain from the

718
00:33:07,680 --> 00:33:11,680
Speaker 3: people's eyes because they know, like every every year there's

719
00:33:11,680 --> 00:33:13,600
Speaker 3: like this new thing that's supposed to be like the

720
00:33:13,720 --> 00:33:15,840
Speaker 3: new thing, like this is this is what we have

721
00:33:15,880 --> 00:33:18,480
Speaker 3: done as an industry, and it and it and like

722
00:33:18,560 --> 00:33:18,960
Speaker 3: it doesn't.

723
00:33:19,440 --> 00:33:22,440
Speaker 4: It doesn't work dry and and and it's.

724
00:33:22,320 --> 00:33:24,240
Speaker 3: It's odd because like this year is the first year

725
00:33:24,240 --> 00:33:26,120
Speaker 3: where there hasn't really actually been anything new. It's just

726
00:33:26,160 --> 00:33:28,400
Speaker 3: it's the same as last year. It's just more AI

727
00:33:28,520 --> 00:33:29,280
Speaker 3: stuff Again.

728
00:33:29,680 --> 00:33:31,920
Speaker 1: I actually think twenty twenty four was pretty ahead of

729
00:33:31,960 --> 00:33:34,160
Speaker 1: the pack. I was gonna say, this is this year.

730
00:33:34,200 --> 00:33:36,320
Speaker 5: I keep seeing places be like, this is the year

731
00:33:36,360 --> 00:33:38,120
Speaker 5: of agents. They're gonna show agents.

732
00:33:38,120 --> 00:33:40,120
Speaker 2: They were talking about that a lot in panels.

733
00:33:40,280 --> 00:33:43,200
Speaker 3: Yeah, the one thing I've seen in the panel list

734
00:33:43,280 --> 00:33:45,760
Speaker 3: is like there's been a lot more integration for like

735
00:33:46,080 --> 00:33:49,040
Speaker 3: content creators and like streamers, right, And even saw this

736
00:33:49,120 --> 00:33:50,840
Speaker 3: with the Golden Globes a few days ago, how like

737
00:33:50,920 --> 00:33:54,040
Speaker 3: they let tons of streamers and influencers onto the carpet

738
00:33:54,080 --> 00:33:57,560
Speaker 3: for like the first time. And there's way more panels

739
00:33:57,560 --> 00:34:00,360
Speaker 3: this year that's about like how do we like get

740
00:34:00,360 --> 00:34:03,760
Speaker 3: this whole like streaming ecosystem that's like separate from like

741
00:34:03,880 --> 00:34:06,600
Speaker 3: legacy media and even like legacy like tech media, Like

742
00:34:06,600 --> 00:34:08,920
Speaker 3: how do we how do we get that into our sphere?

743
00:34:08,960 --> 00:34:10,520
Speaker 2: And that was a big thing they talked about in

744
00:34:10,520 --> 00:34:13,760
Speaker 2: my third panel, AI Cinematics, Spatial and XR the next

745
00:34:13,840 --> 00:34:15,560
Speaker 2: level of creativity.

746
00:34:15,800 --> 00:34:17,120
Speaker 4: I am putting a gun into that.

747
00:34:18,080 --> 00:34:22,759
Speaker 2: They were specifically talking about how uh you know nowadays,

748
00:34:22,800 --> 00:34:26,040
Speaker 2: like you know, individual creators can be as big as studios.

749
00:34:26,040 --> 00:34:27,840
Speaker 2: And then someone of the panels like, well not really,

750
00:34:28,040 --> 00:34:29,440
Speaker 2: like not in.

751
00:34:29,440 --> 00:34:32,799
Speaker 3: Any way that's actually made I'm excited to see the

752
00:34:32,840 --> 00:34:39,080
Speaker 3: new movie from Destiny personally, really excited to see he.

753
00:34:39,120 --> 00:34:40,920
Speaker 4: Is trying that he actually is trying.

754
00:34:41,080 --> 00:34:44,280
Speaker 1: I would love movie just Wikipedia to life.

755
00:34:45,320 --> 00:34:47,200
Speaker 2: There was a there was a great moment in there

756
00:34:47,239 --> 00:34:50,320
Speaker 2: speaking of like failed Ces's past where they like, because

757
00:34:50,320 --> 00:34:54,440
Speaker 2: the extend XR stands for extended reality, which is just metaverse.

758
00:34:53,960 --> 00:34:56,120
Speaker 3: It's just the metaverse. But they can't say that because

759
00:34:56,200 --> 00:34:57,920
Speaker 3: they will get murdered, and that's.

760
00:34:57,719 --> 00:34:59,560
Speaker 2: What they said that. Well, they were like, you can't

761
00:34:59,560 --> 00:35:04,520
Speaker 2: say ever it's yes anymore, but we all know it's

762
00:35:04,560 --> 00:35:05,200
Speaker 2: a real thing.

763
00:35:05,239 --> 00:35:10,960
Speaker 5: They say web three at any point, oh so much.

764
00:35:11,360 --> 00:35:12,080
Speaker 1: Arrested people.

765
00:35:12,600 --> 00:35:18,279
Speaker 3: They are characters. They still do say like they still

766
00:35:18,320 --> 00:35:21,120
Speaker 3: definitely say web three, which is insane.

767
00:35:22,400 --> 00:35:27,279
Speaker 1: Is one. Yeah, well I'm just shocked they still say

768
00:35:27,280 --> 00:35:29,960
Speaker 1: metaverse with a straight face, even like talking about this nonsense.

769
00:35:30,000 --> 00:35:32,920
Speaker 1: But also x are x is a great term because

770
00:35:32,960 --> 00:35:34,880
Speaker 1: it's been around for a while, and it usually just

771
00:35:34,920 --> 00:35:37,680
Speaker 1: means I don't know if this is mixed reality or

772
00:35:37,760 --> 00:35:40,200
Speaker 1: virtual reality. I don't know what device I'm selling this on.

773
00:35:40,239 --> 00:35:45,440
Speaker 2: You guys. Seeing this panel was Charlie Fink, who's like

774
00:35:46,000 --> 00:35:49,200
Speaker 2: the oldest of the metaverse. He's like a Forbes writer

775
00:35:49,600 --> 00:35:51,759
Speaker 2: who is like an old school he's writing. He wrote

776
00:35:51,800 --> 00:35:53,680
Speaker 2: a metaverse book in twenty seventeen.

777
00:35:53,880 --> 00:35:58,239
Speaker 1: Honestly mad respect for actually like knowing stuff early. I

778
00:35:58,280 --> 00:36:01,160
Speaker 1: don't know if I'd agree with all of the assumptions

779
00:36:01,160 --> 00:36:02,600
Speaker 1: such as the metaverse existing.

780
00:36:03,600 --> 00:36:05,839
Speaker 2: That was my big disagreement with him, that it's a thing,

781
00:36:06,560 --> 00:36:09,000
Speaker 2: because they were just on the metaverse is just you know,

782
00:36:09,239 --> 00:36:11,960
Speaker 2: attempts to extend the Internet into every day life, and

783
00:36:11,960 --> 00:36:13,520
Speaker 2: I was like, no, no, no, that's that's just.

784
00:36:14,360 --> 00:36:16,240
Speaker 4: That's just the Internet.

785
00:36:16,960 --> 00:36:20,840
Speaker 2: That's just every day life. That's not the metaverse. That

786
00:36:20,880 --> 00:36:23,080
Speaker 2: I can now order food to be delivered to my

787
00:36:23,160 --> 00:36:26,240
Speaker 2: house are fairly.

788
00:36:27,000 --> 00:36:29,120
Speaker 1: I do miss that period in the media though, when

789
00:36:29,160 --> 00:36:31,839
Speaker 1: it was just like anything anything. They're like, yeah, they're

790
00:36:31,840 --> 00:36:34,000
Speaker 1: going to have share houses, and then now we're going

791
00:36:34,040 --> 00:36:35,799
Speaker 1: to have we're going to live in the meta We're

792
00:36:35,800 --> 00:36:37,200
Speaker 1: going to live in the meta us, and that.

793
00:36:38,800 --> 00:36:44,200
Speaker 2: People spend money on nikes in the metaverse, and you'd

794
00:36:44,239 --> 00:36:46,320
Speaker 2: have banks in the meta better.

795
00:36:48,840 --> 00:36:54,319
Speaker 1: Absolutely didn't they have like an Alby's in the meta use.

796
00:36:55,320 --> 00:36:58,200
Speaker 2: That's the only thing they were right. Is the only

797
00:36:58,360 --> 00:37:01,000
Speaker 2: way I'm getting into it Rby's is if I know

798
00:37:01,120 --> 00:37:02,760
Speaker 2: I cannot make physical content.

799
00:37:05,880 --> 00:37:08,440
Speaker 1: Someone too good for the for the the meat for

800
00:37:08,480 --> 00:37:10,960
Speaker 1: the beat. The meats are not for you. But also

801
00:37:11,000 --> 00:37:12,920
Speaker 1: what's important is I think we need to meet everyone

802
00:37:12,920 --> 00:37:15,520
Speaker 1: who goes to the digital arbies and then connect them

803
00:37:15,560 --> 00:37:21,160
Speaker 1: with mental health personnel, because not a red flag for

804
00:37:21,200 --> 00:37:23,399
Speaker 1: a list, but I think you've got like therapists could

805
00:37:23,440 --> 00:37:26,280
Speaker 1: be met. This is your therapy in the metaverse? Yeah problem,

806
00:37:26,360 --> 00:37:28,399
Speaker 1: So yeah, not doing it in the fucking real world

807
00:37:28,440 --> 00:37:32,000
Speaker 1: if they're in the metaverse arbies. But it's so funny

808
00:37:32,000 --> 00:37:33,920
Speaker 1: as well that everyone's like the metaverse is happening, and

809
00:37:33,960 --> 00:37:35,319
Speaker 1: then they're like, oh, how did you get in there?

810
00:37:35,440 --> 00:37:40,360
Speaker 1: It's very simple. We have this expensive and uncomfortable stuff.

811
00:37:40,680 --> 00:37:43,520
Speaker 1: Does it make you sick sometimes yes? Does it physically

812
00:37:43,640 --> 00:37:48,000
Speaker 1: hurt yes, But when you get in there it sucks.

813
00:37:49,400 --> 00:37:52,680
Speaker 4: Vision Pro dropped less than a year ago, and did they.

814
00:37:52,600 --> 00:37:56,560
Speaker 1: Discontinue it, No? They just no, there was oh my god,

815
00:37:56,600 --> 00:37:57,720
Speaker 1: I can't believe that review.

816
00:37:58,200 --> 00:37:59,560
Speaker 5: There was one of the Apple products.

817
00:38:01,680 --> 00:38:05,279
Speaker 1: They discontinue something that that sounds like Apple eventually, like

818
00:38:05,520 --> 00:38:06,239
Speaker 1: they just give up.

819
00:38:06,360 --> 00:38:06,680
Speaker 2: Check that.

820
00:38:07,160 --> 00:38:10,320
Speaker 1: No no, no. So the vision Pro I know people

821
00:38:10,320 --> 00:38:12,960
Speaker 1: are very upset with the fake news. People are very

822
00:38:13,360 --> 00:38:16,560
Speaker 1: upset with me about my vision Pro review. Very unfair.

823
00:38:16,800 --> 00:38:18,080
Speaker 1: It was second episode.

824
00:38:18,120 --> 00:38:21,560
Speaker 2: There is still learning, but got something there is.

825
00:38:21,680 --> 00:38:22,080
Speaker 4: Sorry.

826
00:38:22,200 --> 00:38:28,040
Speaker 3: The most reputable outlet, game rant yea says that Apple

827
00:38:28,080 --> 00:38:30,800
Speaker 3: has reportedly ceased production of the headset.

828
00:38:31,200 --> 00:38:35,160
Speaker 2: Really well and that's the New York Times of ranting Edge.

829
00:38:35,160 --> 00:38:44,560
Speaker 1: Congratulations, you have won one off first.

830
00:38:41,680 --> 00:38:48,239
Speaker 3: Apparent apparently system game Rant is citing an article in

831
00:38:48,320 --> 00:38:51,080
Speaker 3: another website called the Information dot com.

832
00:38:51,760 --> 00:38:56,000
Speaker 1: The information more or less, it's real ish, it's real,

833
00:38:56,120 --> 00:38:56,800
Speaker 1: is the information.

834
00:38:56,840 --> 00:39:00,239
Speaker 5: I would just climb up that very high page. They've

835
00:39:00,239 --> 00:39:03,000
Speaker 5: improved crazy, yeah, so be able to get around every

836
00:39:03,000 --> 00:39:03,600
Speaker 5: single one now.

837
00:39:03,800 --> 00:39:05,319
Speaker 2: But also it's hard. It's hard now.

838
00:39:05,800 --> 00:39:08,400
Speaker 1: I feel like it was kind of insane. That was

839
00:39:08,440 --> 00:39:10,840
Speaker 1: more insane to me than crypto, and crypto is pretty insane.

840
00:39:10,880 --> 00:39:12,239
Speaker 1: But it's like, oh, how I'm gonna get in the

841
00:39:12,239 --> 00:39:15,920
Speaker 1: metaverse this very shitty fucking headset that sucks Vision Pro

842
00:39:16,080 --> 00:39:18,239
Speaker 1: was pretty good. I know my review. I know people

843
00:39:18,280 --> 00:39:20,879
Speaker 1: are upset that I liked the product. There was potential there,

844
00:39:21,080 --> 00:39:22,480
Speaker 1: they just did not access it.

845
00:39:22,640 --> 00:39:25,640
Speaker 2: Apple has the money for there to be potential there.

846
00:39:25,680 --> 00:39:28,360
Speaker 2: But I still maintained that Steve and I'm not a

847
00:39:28,400 --> 00:39:31,440
Speaker 2: guy as you know ed having said it from the hours, Yeah,

848
00:39:31,520 --> 00:39:33,520
Speaker 2: I'm not a guy who worships Steve Jobs. I don't

849
00:39:33,520 --> 00:39:35,040
Speaker 2: think he would have let that product out yet.

850
00:39:35,120 --> 00:39:36,759
Speaker 1: No, No, it needs like two or three years. But

851
00:39:36,840 --> 00:39:40,400
Speaker 1: it had potential even then. Though this is the biggest

852
00:39:40,480 --> 00:39:44,640
Speaker 1: company intake, they're really only company capable of making consumer

853
00:39:44,640 --> 00:39:47,040
Speaker 1: electronics that are actually good anymore, like everyone else is

854
00:39:47,120 --> 00:39:49,800
Speaker 1: kind of like just mostly making up and maybe putting

855
00:39:49,800 --> 00:39:51,839
Speaker 1: shit together. Yes, they're company like Frame. There are there

856
00:39:51,840 --> 00:39:54,319
Speaker 1: are others, but like the biggest, and they're like, here

857
00:39:54,360 --> 00:39:54,880
Speaker 1: is our best.

858
00:39:54,920 --> 00:39:55,279
Speaker 2: Go at it.

859
00:39:55,760 --> 00:39:58,520
Speaker 1: And when I tried to watch June on my Vision

860
00:39:58,560 --> 00:40:00,879
Speaker 1: Pro and a fly back from London, I got the

861
00:40:00,880 --> 00:40:04,239
Speaker 1: worst migraine of my life. What was I was really

862
00:40:04,320 --> 00:40:07,239
Speaker 1: enjoying the film, and actually the Giant Scream was super cool,

863
00:40:07,400 --> 00:40:09,799
Speaker 1: but I was in so much pain. I took it

864
00:40:09,800 --> 00:40:11,080
Speaker 1: off and I was like sweating.

865
00:40:11,680 --> 00:40:15,840
Speaker 5: Well, that was the extended reality of the Irakis.

866
00:40:16,880 --> 00:40:18,280
Speaker 4: It was extending your reality.

867
00:40:18,360 --> 00:40:21,680
Speaker 2: Yeah, like I say it, that is how it feels

868
00:40:21,719 --> 00:40:28,920
Speaker 2: to read past the third book.

869
00:40:30,760 --> 00:40:35,120
Speaker 1: Okay, but what's important was I really watched too much

870
00:40:35,160 --> 00:40:37,120
Speaker 1: of that movie and I had like a migraine felix

871
00:40:37,680 --> 00:40:38,280
Speaker 1: a day.

872
00:40:38,200 --> 00:40:40,120
Speaker 5: Or two, like you see the Golden Path.

873
00:40:43,000 --> 00:40:44,560
Speaker 4: The Pain, but I did not.

874
00:40:44,960 --> 00:40:47,839
Speaker 1: I watched like the beginning of the film. I do

875
00:40:47,840 --> 00:40:50,800
Speaker 1: not know the po that's gonna be you that Robert

876
00:40:50,800 --> 00:40:52,719
Speaker 1: on the first episode of Better Offline will be the

877
00:40:52,719 --> 00:40:57,000
Speaker 1: shihlud of content. I'm like, ah, yeah, j as we go.

878
00:40:57,920 --> 00:40:59,560
Speaker 4: That has been proven completely drue that.

879
00:41:00,080 --> 00:41:02,440
Speaker 2: Yeah, I live from a different era in which all

880
00:41:02,440 --> 00:41:04,520
Speaker 2: of my friends in high school none of us had sex.

881
00:41:04,600 --> 00:41:06,600
Speaker 2: We all had very strong opinions about it.

882
00:41:07,520 --> 00:41:09,719
Speaker 1: Well, let me tell you, I too come from a

883
00:41:09,840 --> 00:41:13,279
Speaker 1: rich line of not fuckers and not having sex in

884
00:41:13,360 --> 00:41:17,560
Speaker 1: high school at all. Absolutely my thing was ever quest. Okay,

885
00:41:18,040 --> 00:41:20,080
Speaker 1: one might say I was even cooler than you were.

886
00:41:20,200 --> 00:41:21,840
Speaker 2: Yeah, it was wow for me.

887
00:41:22,400 --> 00:41:24,440
Speaker 1: Oh no, I got into well later it was like

888
00:41:24,680 --> 00:41:28,840
Speaker 1: getting off of cocaine to do heroin. Yeah, yeah, barely

889
00:41:28,880 --> 00:41:30,399
Speaker 1: worked on me. I just gave up after a while,

890
00:41:30,480 --> 00:41:34,120
Speaker 1: turned to drinking anyway, it's just great that this is

891
00:41:34,120 --> 00:41:36,600
Speaker 1: the tech industry now. It's just the group hallucination where

892
00:41:36,600 --> 00:41:39,200
Speaker 1: we all go, yeah, fuck it this as we sit

893
00:41:39,239 --> 00:41:41,319
Speaker 1: here and talk, and I know I'm grinding this act

894
00:41:41,400 --> 00:41:43,560
Speaker 1: quite hard, but we're hearing a lot about AI in

895
00:41:43,560 --> 00:41:46,799
Speaker 1: this fucking conference. Everyone's staple in chat, GBT and anthropics

896
00:41:47,080 --> 00:41:50,680
Speaker 1: clawed to everything, and it's like, okay, great, but we

897
00:41:50,719 --> 00:41:53,520
Speaker 1: are sitting here and every major company is not making

898
00:41:53,560 --> 00:41:55,880
Speaker 1: a single fucking dollar, actually losing money on this, and

899
00:41:55,920 --> 00:41:58,680
Speaker 1: I feel a bit insane. I feel a bit crazy

900
00:41:58,719 --> 00:42:00,759
Speaker 1: every day because every every day I look out the

901
00:42:00,800 --> 00:42:03,319
Speaker 1: window intake and we're just like, our biggest thing is

902
00:42:03,360 --> 00:42:06,440
Speaker 1: everyone burning money. I've now seen two stories in the

903
00:42:06,520 --> 00:42:10,080
Speaker 1: last week from major publications going what if AI is

904
00:42:10,120 --> 00:42:13,400
Speaker 1: a bubble? Which is probably the most worrying songs, Like

905
00:42:13,440 --> 00:42:15,560
Speaker 1: The Economist had one that was like, what if a

906
00:42:15,600 --> 00:42:19,759
Speaker 1: bubble bursting was good? What if it was good that

907
00:42:19,840 --> 00:42:22,640
Speaker 1: the bubble burst, which is insane because there is a

908
00:42:22,719 --> 00:42:25,480
Speaker 1: David Leonard story in the New York Times saying that

909
00:42:25,560 --> 00:42:29,479
Speaker 1: a housing bubble burst in the six o seven region

910
00:42:29,520 --> 00:42:31,319
Speaker 1: would have been a good idea too. And let me

911
00:42:31,400 --> 00:42:34,239
Speaker 1: tell you, I don't know history super well, but I

912
00:42:34,280 --> 00:42:36,840
Speaker 1: don't think the housing bubble bursting went well for anyone.

913
00:42:36,960 --> 00:42:38,160
Speaker 5: No, So.

914
00:42:42,280 --> 00:42:47,240
Speaker 3: You need to have the disruptor mindset right, And the problem.

915
00:42:47,360 --> 00:42:49,960
Speaker 3: The problem with the bubbles is that as they get

916
00:42:50,000 --> 00:42:53,319
Speaker 3: bigger and bigger, it stifles innovation in other areas because

917
00:42:53,360 --> 00:42:56,080
Speaker 3: we're all focusing on this bubble, right, So as soon

918
00:42:56,120 --> 00:42:59,879
Speaker 3: as it bursts, now, now you have so many more

919
00:43:00,080 --> 00:43:05,799
Speaker 3: opportunities to really disrupt who knows how many other industries.

920
00:43:05,360 --> 00:43:06,960
Speaker 2: Well, let me do. During the housing bubble, we had

921
00:43:06,960 --> 00:43:09,880
Speaker 2: to innovate by like eating ninety nine cent burritos, and

922
00:43:10,239 --> 00:43:12,719
Speaker 2: now four dollars of those stretched through some people.

923
00:43:12,760 --> 00:43:15,840
Speaker 3: And now we have airbnbs taking over half half of

924
00:43:15,960 --> 00:43:16,759
Speaker 3: entire neighborhoods.

925
00:43:16,840 --> 00:43:18,080
Speaker 4: Innovation so much better.

926
00:43:18,120 --> 00:43:21,279
Speaker 1: That's good. Innovates sleeping and people were really they were

927
00:43:21,280 --> 00:43:23,360
Speaker 1: innovating ways to top themselves. When I moved to New

928
00:43:23,440 --> 00:43:26,400
Speaker 1: York in two thousand and eight, that was great. Fortunate people.

929
00:43:26,520 --> 00:43:28,120
Speaker 1: That's the thing. You're not really going to have people

930
00:43:28,160 --> 00:43:29,759
Speaker 1: doing themselves in on this one. But I don't think

931
00:43:29,800 --> 00:43:31,920
Speaker 1: people realize the bubble bursting is going to be very

932
00:43:31,920 --> 00:43:34,759
Speaker 1: bad for two reasons. One, all the tech stock's going

933
00:43:34,760 --> 00:43:37,719
Speaker 1: to take a kind of a haircut. But also I

934
00:43:37,760 --> 00:43:41,359
Speaker 1: think CS is kind of a bad omen the fact

935
00:43:41,400 --> 00:43:44,520
Speaker 1: that there this is basically two thousand and four CS.

936
00:43:45,080 --> 00:43:46,719
Speaker 1: That kind of speaks to the large problem I've talked

937
00:43:46,760 --> 00:43:48,440
Speaker 1: about before, which is they don't seem to have a

938
00:43:48,480 --> 00:43:53,480
Speaker 1: new thing. AI isn't new, and that's not working, and

939
00:43:53,520 --> 00:43:55,440
Speaker 1: they're like, well, what if we put AI in a

940
00:43:55,680 --> 00:43:57,440
Speaker 1: in a we can laugh at the kind of like

941
00:43:57,520 --> 00:43:59,800
Speaker 1: AI in the oven thing, but really beneath the surface

942
00:43:59,840 --> 00:44:01,480
Speaker 1: here and I look forward to seeing the shuffle on

943
00:44:01,520 --> 00:44:04,040
Speaker 1: myself for this, there is this undercurrent of what the

944
00:44:04,040 --> 00:44:05,840
Speaker 1: fuck do we do it? What? What we what do

945
00:44:05,920 --> 00:44:06,279
Speaker 1: we doing that?

946
00:44:06,360 --> 00:44:06,400
Speaker 5: What?

947
00:44:06,600 --> 00:44:07,360
Speaker 1: What?

948
00:44:07,880 --> 00:44:07,960
Speaker 5: Well?

949
00:44:08,000 --> 00:44:08,880
Speaker 1: How do we make money now?

950
00:44:08,920 --> 00:44:09,120
Speaker 2: What?

951
00:44:09,120 --> 00:44:09,200
Speaker 5: What?

952
00:44:09,640 --> 00:44:10,800
Speaker 1: What the money? And please?

953
00:44:10,920 --> 00:44:12,640
Speaker 2: I think Ed had a really good point, which is

954
00:44:12,640 --> 00:44:15,640
Speaker 2: that obviously what they see is AI agents being the future,

955
00:44:16,400 --> 00:44:18,359
Speaker 2: and those kept getting brought up and what's one of them?

956
00:44:18,480 --> 00:44:19,319
Speaker 1: What did they say to me?

957
00:44:19,880 --> 00:44:22,680
Speaker 2: It's interesting to me is that obviously there's a there's

958
00:44:22,440 --> 00:44:26,000
Speaker 2: a lot of potential value in being able to do

959
00:44:26,040 --> 00:44:28,000
Speaker 2: something like say, hey, I want to plan a trip

960
00:44:28,040 --> 00:44:30,400
Speaker 2: to this this and this location, sure, and having a

961
00:44:30,440 --> 00:44:32,520
Speaker 2: thing that can book it. That's that's not a multi

962
00:44:32,520 --> 00:44:36,279
Speaker 2: billion dollar industry. But there's utility or to being able

963
00:44:36,280 --> 00:44:38,680
Speaker 2: to be like being able to plan out like five

964
00:44:38,760 --> 00:44:41,000
Speaker 2: or six different meals that you want to you know,

965
00:44:41,360 --> 00:44:43,160
Speaker 2: repeat over the course of a week or two and

966
00:44:43,160 --> 00:44:46,879
Speaker 2: then like plan out or there. There's some utility there.

967
00:44:47,400 --> 00:44:50,400
Speaker 2: But the way people talk about AI agents isn't in

968
00:44:50,440 --> 00:44:53,600
Speaker 2: that way. It's about another living thing that they like

969
00:44:54,360 --> 00:44:58,400
Speaker 2: bounce ideas off of and invite socially into their lives.

970
00:44:58,600 --> 00:45:02,560
Speaker 2: There was a lady at the uh the first panel

971
00:45:02,640 --> 00:45:04,920
Speaker 2: today which was about like AI in entertainment, who was

972
00:45:04,960 --> 00:45:07,960
Speaker 2: like and my agent. Obviously she just is growing every

973
00:45:08,040 --> 00:45:11,359
Speaker 2: year or every day, and it was like talking about

974
00:45:11,400 --> 00:45:14,800
Speaker 2: her like a person like gendering she does her AI agent.

975
00:45:14,920 --> 00:45:16,839
Speaker 1: I must be clear, what was she talking about?

976
00:45:17,000 --> 00:45:17,800
Speaker 2: Her AI agent?

977
00:45:17,880 --> 00:45:19,920
Speaker 1: Okay, but does this thing exist? No?

978
00:45:19,800 --> 00:45:23,120
Speaker 4: No, no, Me and my rabbit have a very intimate relationship.

979
00:45:23,160 --> 00:45:26,359
Speaker 1: Sure, sure, real fuck up pets man, believe No.

980
00:45:26,360 --> 00:45:29,319
Speaker 2: No, she didn't say which product she was using, but

981
00:45:29,360 --> 00:45:31,600
Speaker 2: there are a couple of them out right. Just to

982
00:45:31,600 --> 00:45:34,000
Speaker 2: be clear, character AI was on people.

983
00:45:33,760 --> 00:45:35,759
Speaker 1: Talk, that's not an agent. Oh my fucking god, I

984
00:45:35,800 --> 00:45:38,040
Speaker 1: have to do this, okay, yeah, an AI agent?

985
00:45:38,280 --> 00:45:38,440
Speaker 5: No?

986
00:45:38,440 --> 00:45:40,759
Speaker 2: No, no, that's what if she she was referencing because it

987
00:45:40,800 --> 00:45:42,399
Speaker 2: might have been like her co pilot or some shit.

988
00:45:42,480 --> 00:45:44,600
Speaker 1: A co pilot is also not an agent. An AI

989
00:45:44,719 --> 00:45:48,879
Speaker 1: agent is meant to be an autonomous AI that goes

990
00:45:48,920 --> 00:45:51,359
Speaker 1: out and does shit and can do things and then

991
00:45:51,400 --> 00:45:53,239
Speaker 1: respond to things based on how people.

992
00:45:53,320 --> 00:45:55,400
Speaker 2: Big part of it's like what Rabbit was trying to

993
00:45:55,440 --> 00:45:56,520
Speaker 2: sell with the R one lass.

994
00:45:56,560 --> 00:45:58,799
Speaker 1: Rabbit wasn't even doing that. They were just doing like

995
00:45:59,239 --> 00:46:03,080
Speaker 1: the very early stage agents, which is, okay, you're technically correct,

996
00:46:03,080 --> 00:46:05,640
Speaker 1: which is that agents are meant to be they take

997
00:46:05,680 --> 00:46:08,000
Speaker 1: actions for you. That's the official definition. But what everyone's

998
00:46:08,000 --> 00:46:10,040
Speaker 1: talking about with agents, and this has driving me fucking

999
00:46:10,080 --> 00:46:12,800
Speaker 1: insane because no one really wants to talk about the

1000
00:46:12,880 --> 00:46:15,400
Speaker 1: reality here is they're talking about I will staple a

1001
00:46:15,400 --> 00:46:18,680
Speaker 1: few fucking lms to each other, and then enough llllms

1002
00:46:18,680 --> 00:46:20,920
Speaker 1: will talk to each other that things will just start happening,

1003
00:46:21,640 --> 00:46:23,840
Speaker 1: kind of like the Incredible Machine if you ever played

1004
00:46:23,840 --> 00:46:27,600
Speaker 1: They just like a Rubegoldberg situation, he says, not really

1005
00:46:27,640 --> 00:46:31,560
Speaker 1: knowing that reference Peebee's Playhouse. I don't know. Nevertheless, these

1006
00:46:31,560 --> 00:46:34,359
Speaker 1: series of actions then allow theoretically this thing to do

1007
00:46:34,400 --> 00:46:36,279
Speaker 1: something at the end. The big common one, right, now

1008
00:46:36,320 --> 00:46:40,160
Speaker 1: is sales sales agents. These things are insanely expensive, and

1009
00:46:40,480 --> 00:46:42,759
Speaker 1: I have yet to hear of one that does more

1010
00:46:42,800 --> 00:46:45,400
Speaker 1: than send emails and answer emails. And I've yet to

1011
00:46:46,280 --> 00:46:50,080
Speaker 1: really see anyone explain how anything else is fucking possible.

1012
00:46:50,360 --> 00:46:52,960
Speaker 1: And the thing is people will say agent about anything.

1013
00:46:53,280 --> 00:46:56,040
Speaker 1: Character to AI is just an LLLM company.

1014
00:46:55,719 --> 00:46:58,560
Speaker 2: That like they got a kid to kill themselves.

1015
00:46:58,760 --> 00:47:02,520
Speaker 1: Insane, but also just like has like a denarious tulgarian

1016
00:47:02,560 --> 00:47:04,960
Speaker 1: bot that will also be a therapy. It's fucking insane,

1017
00:47:05,000 --> 00:47:07,719
Speaker 1: of course, So that's not an agent. Chat GPT not

1018
00:47:07,760 --> 00:47:09,680
Speaker 1: an agent. They want to said, I'm so glad you

1019
00:47:09,719 --> 00:47:11,920
Speaker 1: brought this up, because it's like this agentic thing is

1020
00:47:11,960 --> 00:47:14,319
Speaker 1: their next bullshit. But I cannot be clear enough. If

1021
00:47:14,360 --> 00:47:16,920
Speaker 1: you think regular lms are expensive, imagine a bunch of

1022
00:47:17,000 --> 00:47:19,640
Speaker 1: lms playing dipshit tennis with each other. That is how

1023
00:47:19,760 --> 00:47:20,399
Speaker 1: agents work.

1024
00:47:20,520 --> 00:47:22,160
Speaker 5: You know, I think you know in sixteen Z is

1025
00:47:22,200 --> 00:47:24,640
Speaker 5: really big on this. There's a there's a manifesto, one

1026
00:47:24,640 --> 00:47:30,080
Speaker 5: of their many manifestos they hear they say, every child

1027
00:47:30,080 --> 00:47:33,719
Speaker 5: will have an AI tutor that is infinitely patient, infinitely compassionate,

1028
00:47:33,800 --> 00:47:37,880
Speaker 5: infinitely knowledgeable, infinitely helpful, infinite and then they say that

1029
00:47:37,920 --> 00:47:40,760
Speaker 5: every person will have an AI assistant slash coach, slash

1030
00:47:40,800 --> 00:47:43,440
Speaker 5: mentor slash trainer slash advisor.

1031
00:47:44,640 --> 00:47:46,480
Speaker 2: How can it be metor it doesn't know how to

1032
00:47:46,520 --> 00:47:46,959
Speaker 2: do things?

1033
00:47:47,040 --> 00:47:49,839
Speaker 4: Slash therapist slash therapist. That's good, that's good.

1034
00:47:49,840 --> 00:47:54,240
Speaker 5: It's infinitely patient and infinite compassionate, definitely knowledgeable, and infinitely helpful.

1035
00:47:54,360 --> 00:47:56,640
Speaker 3: I just they want a friend without having to do

1036
00:47:56,680 --> 00:47:59,440
Speaker 3: any of the work. That makes like having a friendship.

1037
00:47:59,680 --> 00:48:00,880
Speaker 5: Yes, not only.

1038
00:48:00,760 --> 00:48:06,200
Speaker 1: Makes these pople therapy, but also on top of that,

1039
00:48:07,960 --> 00:48:10,680
Speaker 1: if everyone keeps talking about this idea and I think

1040
00:48:10,680 --> 00:48:13,000
Speaker 1: they've been doing it for years, and this of AI

1041
00:48:13,200 --> 00:48:17,319
Speaker 1: being your assistant, why are there no AI assistants that work? Yes,

1042
00:48:17,719 --> 00:48:20,640
Speaker 1: you can make your phone do reminders now. Yeah, we're

1043
00:48:20,640 --> 00:48:24,160
Speaker 1: on like the sixteenth seventeenth iPhone and we can now

1044
00:48:24,400 --> 00:48:26,760
Speaker 1: make Siri most of the time understand.

1045
00:48:26,440 --> 00:48:27,960
Speaker 4: Something like half the time for me.

1046
00:48:28,200 --> 00:48:32,600
Speaker 1: But yeah, the British sery actually understands me unlike most people.

1047
00:48:32,680 --> 00:48:36,200
Speaker 4: I have set a Scottish theory. But maybe maybe why

1048
00:48:36,360 --> 00:48:39,240
Speaker 4: maybe I like I like the way.

1049
00:48:39,239 --> 00:48:41,759
Speaker 2: The way one of the panels where they are like

1050
00:48:41,880 --> 00:48:44,400
Speaker 2: is voice the new operating system.

1051
00:48:44,440 --> 00:48:48,000
Speaker 1: I am going to kill myself, I will kill on.

1052
00:48:47,960 --> 00:48:50,440
Speaker 2: The panel was British and was like, well, usually they

1053
00:48:50,440 --> 00:48:53,080
Speaker 2: don't understand what I'm saying, so like all of the

1054
00:48:53,120 --> 00:48:55,840
Speaker 2: Americans were like, oh, absolutely, and the one person with

1055
00:48:55,880 --> 00:48:57,480
Speaker 2: an accent was like, I probably not.

1056
00:48:57,520 --> 00:49:01,840
Speaker 1: Okay. That makes me so angry because when fucking Alexa

1057
00:49:01,920 --> 00:49:04,719
Speaker 1: came out, we would we did this one already. We've

1058
00:49:04,760 --> 00:49:07,800
Speaker 1: done this one already. I've I have already done pitching

1059
00:49:07,800 --> 00:49:11,160
Speaker 1: for clients about voice being it wasn't guess what it

1060
00:49:11,239 --> 00:49:13,360
Speaker 1: was not the future because it turns out that talking

1061
00:49:13,440 --> 00:49:14,000
Speaker 1: is annoying.

1062
00:49:28,560 --> 00:49:30,839
Speaker 5: Well, I've been seeing discussions about this. I saw someone

1063
00:49:30,840 --> 00:49:35,040
Speaker 5: online try to be like Scarlett Johansson fumbled the bag yes,

1064
00:49:35,360 --> 00:49:37,839
Speaker 5: and it's like, whoa what bag? Yeah. They were saying

1065
00:49:37,840 --> 00:49:41,000
Speaker 5: that if she had simply let open AI use her voice,

1066
00:49:41,120 --> 00:49:44,080
Speaker 5: she would have been the future of AI Voice forever, like.

1067
00:49:44,120 --> 00:49:47,879
Speaker 3: Achieved immortalities, be like the AI Voice for generations.

1068
00:49:48,200 --> 00:49:50,759
Speaker 5: I'm like, yeah, just like you know what happened with Alexa, right,

1069
00:49:51,040 --> 00:49:52,839
Speaker 5: I don't think that happened with Siri. I know the

1070
00:49:52,880 --> 00:49:55,600
Speaker 5: voice actors, all of them, I know them personally.

1071
00:49:56,320 --> 00:49:58,520
Speaker 1: Gramble Chambers my favorite, like what a.

1072
00:49:58,560 --> 00:50:02,879
Speaker 3: Bad like business decision for an actress, because now you'll

1073
00:50:02,880 --> 00:50:05,480
Speaker 3: have like kids who grow up with like like Alexa

1074
00:50:05,520 --> 00:50:07,120
Speaker 3: machines in their house, and then they'll watch a movie

1075
00:50:07,120 --> 00:50:12,239
Speaker 3: and be like, oh wow, the Alex is in. It's

1076
00:50:12,280 --> 00:50:15,680
Speaker 3: like it's like a voice servant.

1077
00:50:16,040 --> 00:50:16,600
Speaker 4: It's Siri.

1078
00:50:17,320 --> 00:50:20,799
Speaker 2: Casting directors will be like, well, Scarlett Johansson, No, she's that.

1079
00:50:20,920 --> 00:50:23,160
Speaker 2: She's that lady who everybody has to talk to get

1080
00:50:23,200 --> 00:50:27,080
Speaker 2: a dentist appointment. Nobody wants in a movie. Like, it's

1081
00:50:27,120 --> 00:50:29,160
Speaker 2: a terrible idea to be that.

1082
00:50:29,520 --> 00:50:30,880
Speaker 1: You mean lost in translation.

1083
00:50:31,440 --> 00:50:35,960
Speaker 5: I've watched her a little too many times as really

1084
00:50:36,040 --> 00:50:38,719
Speaker 5: one of the one of the factors that keeps coming

1085
00:50:38,719 --> 00:50:41,239
Speaker 5: in here, this idea that the voice is gonna be

1086
00:50:41,239 --> 00:50:42,560
Speaker 5: the transcendent thing there.

1087
00:50:43,239 --> 00:50:46,120
Speaker 1: Yeah, I and also that it can do more than

1088
00:50:46,160 --> 00:50:48,520
Speaker 1: it can, because I don't think people realize and I

1089
00:50:48,560 --> 00:50:51,520
Speaker 1: know this due to my accent, how fucking bad voice is.

1090
00:50:51,560 --> 00:50:54,360
Speaker 1: Even in the best case. It just does not. Sometimes

1091
00:50:54,400 --> 00:50:56,919
Speaker 1: the things it hears are truly insane. And the more

1092
00:50:57,120 --> 00:50:59,279
Speaker 1: data you have in your phone, the more numbers and

1093
00:50:59,360 --> 00:51:03,520
Speaker 1: names you have, the more insane. The idea is, I

1094
00:51:03,560 --> 00:51:05,880
Speaker 1: don't need to text someone I know from North Carolina

1095
00:51:05,920 --> 00:51:07,960
Speaker 1: eleven years ago and I certainly don't need to text

1096
00:51:08,000 --> 00:51:10,600
Speaker 1: them about the burger I'm ordering. Was I ordering a bugger?

1097
00:51:10,719 --> 00:51:10,759
Speaker 4: No?

1098
00:51:10,840 --> 00:51:12,560
Speaker 1: I was trying to do a meeting related thing. But

1099
00:51:12,600 --> 00:51:15,680
Speaker 1: did this fucking thing hear me? But also it just

1100
00:51:15,719 --> 00:51:17,359
Speaker 1: angers me that I have to hear this. It's been

1101
00:51:17,440 --> 00:51:19,200
Speaker 1: like a decade. I thought we got away from this

1102
00:51:19,280 --> 00:51:23,160
Speaker 1: fucking angle. No, very foulmouth to that. I apologize to the.

1103
00:51:23,360 --> 00:51:26,480
Speaker 5: Well, at the very least, at least there's no crypto.

1104
00:51:26,800 --> 00:51:32,400
Speaker 2: To us, right. Oh, I'm sure we'll hit some I

1105
00:51:32,440 --> 00:51:33,399
Speaker 2: haven't run into it yet.

1106
00:51:33,480 --> 00:51:34,399
Speaker 4: I'm sniffing it out.

1107
00:51:34,480 --> 00:51:37,360
Speaker 2: No, I didcause one of the women on one of

1108
00:51:37,400 --> 00:51:40,799
Speaker 2: the panels worked for Republic, which is an app that

1109
00:51:40,920 --> 00:51:44,160
Speaker 2: allows you to everyone to do in like venture capital

1110
00:51:44,200 --> 00:51:48,080
Speaker 2: investing with as little as twenty five dollars sick and yeah,

1111
00:51:48,120 --> 00:51:50,120
Speaker 2: and also invest in crypto at the same time.

1112
00:51:50,360 --> 00:51:50,680
Speaker 1: Why not?

1113
00:51:51,360 --> 00:51:52,880
Speaker 2: And the one review of it said like, it's a

1114
00:51:52,920 --> 00:51:55,760
Speaker 2: great service if you want to diversify, but it's extremely

1115
00:51:55,880 --> 00:51:59,800
Speaker 2: risky and everyone loses money that's not diversified.

1116
00:52:01,040 --> 00:52:03,640
Speaker 3: I guess people are still reeling from hawk to a coin,

1117
00:52:04,360 --> 00:52:06,839
Speaker 3: so maybe that might be more on the down low.

1118
00:52:07,320 --> 00:52:09,719
Speaker 2: Uh here, I really I.

1119
00:52:09,680 --> 00:52:13,040
Speaker 1: Love that she is probably in trouble the SEC. I

1120
00:52:13,080 --> 00:52:14,400
Speaker 1: love that the SEC is.

1121
00:52:14,400 --> 00:52:17,680
Speaker 5: Gonna go somewhere with no extradition, tweet a bit, and

1122
00:52:17,680 --> 00:52:18,320
Speaker 5: then get extra.

1123
00:52:21,000 --> 00:52:24,680
Speaker 1: People lacked the moxy of the classic scam artist.

1124
00:52:25,440 --> 00:52:27,319
Speaker 2: Yeah, look, you.

1125
00:52:27,239 --> 00:52:30,120
Speaker 1: Do that when you're in Costa Rica. You you fucking

1126
00:52:30,400 --> 00:52:31,120
Speaker 1: He was a.

1127
00:52:31,080 --> 00:52:33,160
Speaker 2: Real piece of ship. But I missed McAfee.

1128
00:52:33,200 --> 00:52:40,200
Speaker 1: Now, if McAfee, if he'd had just hung in there

1129
00:52:40,239 --> 00:52:42,960
Speaker 1: another year or two. My favorite John McAfee thing was

1130
00:52:43,000 --> 00:52:45,360
Speaker 1: if you looked at the Champagne he was drinking.

1131
00:52:45,880 --> 00:52:50,359
Speaker 2: It's like the cheapest ship. He didn't have that much money, Like,

1132
00:52:50,400 --> 00:52:54,520
Speaker 2: he was a shitty yacht. They had terrible guns, but he.

1133
00:52:54,560 --> 00:52:57,480
Speaker 1: Was eating like like like a woolgreens cheese.

1134
00:52:57,800 --> 00:53:02,000
Speaker 5: Yeah, hell yeah, he's drinking like Corbell libertarian.

1135
00:53:01,719 --> 00:53:05,160
Speaker 2: But like which is no one, no one, so no one.

1136
00:53:05,480 --> 00:53:09,719
Speaker 2: Dominicants took his guns. Wait did they really steal They

1137
00:53:09,719 --> 00:53:13,120
Speaker 2: did steal it. They steal his guns. He's sailed into

1138
00:53:13,160 --> 00:53:18,040
Speaker 2: a foreign port with a boat full of illegal they wow, country,

1139
00:53:18,920 --> 00:53:19,719
Speaker 2: you can't do that.

1140
00:53:19,760 --> 00:53:22,880
Speaker 1: You're not allowed to do that as usual the fucking

1141
00:53:23,320 --> 00:53:27,759
Speaker 1: fun place. I woke mafia. Oh, I can't ride into

1142
00:53:28,120 --> 00:53:30,080
Speaker 1: another port with a bunch of guns.

1143
00:53:29,800 --> 00:53:33,040
Speaker 2: This is obviously just because Dominican the Dominican Republic's so corrupt.

1144
00:53:33,080 --> 00:53:35,319
Speaker 2: It's like, man, yeah, it would take your guns. You

1145
00:53:35,400 --> 00:53:36,200
Speaker 2: can't do that.

1146
00:53:36,320 --> 00:53:37,719
Speaker 4: But also this is just like one thing of a

1147
00:53:37,760 --> 00:53:39,160
Speaker 4: functioning democracy.

1148
00:53:39,280 --> 00:53:41,080
Speaker 1: If a very strange man.

1149
00:53:41,040 --> 00:53:45,320
Speaker 2: On all sorts of substances, clearly on drugs somewhere basically

1150
00:53:45,360 --> 00:53:46,720
Speaker 2: trafficking human beings.

1151
00:53:46,760 --> 00:53:48,799
Speaker 1: If a guy turns up just like yeah, yeah, he

1152
00:53:48,880 --> 00:53:50,839
Speaker 1: sounds sounds like beavers but looks like.

1153
00:53:50,760 --> 00:53:52,279
Speaker 5: He's dying, it's like, yeah, you could do that on

1154
00:53:52,320 --> 00:53:54,719
Speaker 5: the boat, but no, yo, yo, I'm like, hey, I

1155
00:53:54,800 --> 00:53:56,799
Speaker 5: have all of these guns out of that like just

1156
00:53:56,800 --> 00:53:59,439
Speaker 5: fucking lying around taking your boat jack back.

1157
00:53:59,600 --> 00:54:02,320
Speaker 1: Yeah, like like like you've killed a bunch of NPCs

1158
00:54:02,320 --> 00:54:03,919
Speaker 1: on there and they've dropped their loot, like.

1159
00:54:03,920 --> 00:54:06,960
Speaker 2: And he did. In fact, I mean like none of

1160
00:54:06,960 --> 00:54:09,560
Speaker 2: these modern day drifters can do. They don't live interesting,

1161
00:54:09,680 --> 00:54:11,719
Speaker 2: bold enough lives to have racked up the kind of

1162
00:54:11,760 --> 00:54:12,319
Speaker 2: body count.

1163
00:54:12,400 --> 00:54:17,320
Speaker 1: Jean mccaut, he was like a like a Blacklist character.

1164
00:54:17,440 --> 00:54:19,920
Speaker 1: He sure was like, yeah, Raymond Reddington.

1165
00:54:20,719 --> 00:54:25,319
Speaker 2: A lot of people in who died because they were

1166
00:54:25,560 --> 00:54:26,640
Speaker 2: his nephew died.

1167
00:54:26,880 --> 00:54:27,839
Speaker 1: His nephew died.

1168
00:54:28,880 --> 00:54:32,200
Speaker 2: They had like a paragliding thing that they did in

1169
00:54:32,239 --> 00:54:35,720
Speaker 2: the desert. They called themselves sky Gypsies, and they traveled

1170
00:54:35,760 --> 00:54:39,440
Speaker 2: around like like drifting from little airport in the desert

1171
00:54:39,440 --> 00:54:42,160
Speaker 2: to little airport in the desert, and like a seventy

1172
00:54:42,200 --> 00:54:45,040
Speaker 2: year old man and his nephew, Booth crashed and died,

1173
00:54:47,440 --> 00:54:50,360
Speaker 2: and then he fled the country for Costa Rica because

1174
00:54:50,440 --> 00:54:53,600
Speaker 2: his whole family got angry at him.

1175
00:54:54,440 --> 00:54:57,000
Speaker 1: This is why he left. Yes, that's why he went

1176
00:54:57,040 --> 00:55:02,000
Speaker 1: to Costa Rica. That first of all insane.

1177
00:55:02,080 --> 00:55:02,480
Speaker 2: Yeah.

1178
00:55:02,800 --> 00:55:05,520
Speaker 1: Second of all, none of the tech people are this interesting,

1179
00:55:05,880 --> 00:55:09,719
Speaker 1: Absolutely not. Sam Molman has never fled a country. No ever,

1180
00:55:09,880 --> 00:55:12,239
Speaker 1: he might though now he won't. That's the thing.

1181
00:55:12,280 --> 00:55:15,680
Speaker 5: It's the process is like Zuckerberg dressing like Stan you

1182
00:55:15,719 --> 00:55:16,440
Speaker 5: know from the.

1183
00:55:16,640 --> 00:55:19,480
Speaker 1: I Love It. I love that he dresses like Kevin Federan.

1184
00:55:20,200 --> 00:55:22,600
Speaker 3: Yeah yeah, but even all of that's just a Peter

1185
00:55:22,719 --> 00:55:25,960
Speaker 3: Teel's like bit. Yeah, it wasn't even his idea.

1186
00:55:26,040 --> 00:55:28,880
Speaker 1: So this is one of the many consultants that have

1187
00:55:29,000 --> 00:55:31,600
Speaker 1: crawled up Mark Zuckerberg's asshole now being like, what you

1188
00:55:31,640 --> 00:55:34,919
Speaker 1: should do is you should dress like like you've you've

1189
00:55:35,000 --> 00:55:37,640
Speaker 1: just done a ZM pig, but you're also a nineties

1190
00:55:37,719 --> 00:55:41,840
Speaker 1: rapper and he's like, oh huh, yeah, will.

1191
00:55:41,719 --> 00:55:44,080
Speaker 5: We ever get him rapping? You know those pictures of him?

1192
00:55:44,480 --> 00:55:48,680
Speaker 1: I would love him to rap. I actually should try.

1193
00:55:49,320 --> 00:55:52,120
Speaker 1: We really do need a Howard Hughes era and a

1194
00:55:52,280 --> 00:55:55,400
Speaker 1: Crazy Crone era of tech. I wonder what Mark Zuckerberg

1195
00:55:55,440 --> 00:55:58,080
Speaker 1: is going to be like when he's like eighty, like

1196
00:55:58,120 --> 00:56:00,319
Speaker 1: an Al Davis style just and.

1197
00:56:00,440 --> 00:56:02,600
Speaker 2: El director being yeah, just like a.

1198
00:56:02,680 --> 00:56:06,279
Speaker 1: Lich just floating with you. He won't quit. I think

1199
00:56:06,280 --> 00:56:09,080
Speaker 1: he may Al Davis Meta And for the listeners who

1200
00:56:09,120 --> 00:56:11,319
Speaker 1: don't know the NFL, Al Davis was the owner of

1201
00:56:11,320 --> 00:56:13,880
Speaker 1: the Oakland Raiders and now the Las Vegas Raiders, and

1202
00:56:13,920 --> 00:56:15,920
Speaker 1: he held onto the team until he looked like he

1203
00:56:16,000 --> 00:56:18,720
Speaker 1: was physically dying. And I really do mean like bits

1204
00:56:18,719 --> 00:56:20,560
Speaker 1: were falling off of him on air like it was

1205
00:56:20,560 --> 00:56:23,520
Speaker 1: fucking insane. This is actually what I hope for Meta

1206
00:56:23,600 --> 00:56:25,799
Speaker 1: more than anything. I actually don't think Meta lasts than

1207
00:56:25,840 --> 00:56:29,040
Speaker 1: another ten years, but if it has the last decades,

1208
00:56:29,239 --> 00:56:31,640
Speaker 1: I hope it's Mark Zuckerberg just crazy. You know, like

1209
00:56:31,719 --> 00:56:33,439
Speaker 1: we're not running photos on.

1210
00:56:33,640 --> 00:56:37,920
Speaker 2: Anymore, nothing but the website is nothing but ais of

1211
00:56:38,040 --> 00:56:43,120
Speaker 2: your dead grandparents and like literally loved once yea Zuckerberg

1212
00:56:43,200 --> 00:56:43,920
Speaker 2: running it alone.

1213
00:56:45,040 --> 00:56:49,520
Speaker 1: You couldn't make your pop pop come back, you couldn't

1214
00:56:49,520 --> 00:56:51,280
Speaker 1: bring your beautiful life.

1215
00:56:51,520 --> 00:56:55,680
Speaker 5: That's what he's gonna run for president? Yeah, that's what.

1216
00:56:56,200 --> 00:56:59,320
Speaker 1: Yeah. Yeah, I can't of course as a resident.

1217
00:56:59,480 --> 00:57:01,840
Speaker 5: Just want to really, you can't vote once, but you

1218
00:57:01,840 --> 00:57:02,560
Speaker 5: can vote twice.

1219
00:57:02,640 --> 00:57:07,799
Speaker 1: No. No, people need to stop saying things that make

1220
00:57:07,880 --> 00:57:09,920
Speaker 1: it sound like I am committing a crime.

1221
00:57:11,080 --> 00:57:13,600
Speaker 2: Don't joke about the title of our signal loop in here.

1222
00:57:14,239 --> 00:57:16,920
Speaker 1: No, we will not be saying that, nor will we

1223
00:57:16,960 --> 00:57:22,480
Speaker 1: be saying it's blowing up like a cyber truck either. Yeah,

1224
00:57:22,480 --> 00:57:25,960
Speaker 1: I'm sure that was a great post for you sending

1225
00:57:25,960 --> 00:57:27,600
Speaker 1: it to my lawyer being like, it's a bit.

1226
00:57:27,800 --> 00:57:28,880
Speaker 2: Look, he's already dead.

1227
00:57:29,000 --> 00:57:31,240
Speaker 1: It's a bit. Yeah, I was.

1228
00:57:31,920 --> 00:57:33,360
Speaker 4: I was planning a bit.

1229
00:57:35,160 --> 00:57:38,160
Speaker 3: To bring my gray hoodie and my green jacket and

1230
00:57:38,200 --> 00:57:42,080
Speaker 3: my net Gator and just walk.

1231
00:57:45,680 --> 00:57:47,560
Speaker 1: That's the thing, though, the show's got big enough now

1232
00:57:47,560 --> 00:57:49,560
Speaker 1: that people are responding to me with stuff like that.

1233
00:57:50,480 --> 00:57:53,120
Speaker 1: Luisg So I'm like, shot the man.

1234
00:57:53,760 --> 00:57:55,640
Speaker 2: People people love posting about crimes.

1235
00:57:56,440 --> 00:57:59,120
Speaker 1: People love to tell me the crimes they wish i'd commit.

1236
00:57:59,240 --> 00:58:02,040
Speaker 4: Yeah, that's always true.

1237
00:58:02,120 --> 00:58:05,640
Speaker 1: Yeah, yeah, I am a wow, would I am. I'm

1238
00:58:05,680 --> 00:58:08,920
Speaker 1: not hitting anyone. I'm terrified of violence, both happening to

1239
00:58:09,000 --> 00:58:09,800
Speaker 1: me and committing it.

1240
00:58:09,880 --> 00:58:12,040
Speaker 2: The only drugs I do were the ones I legally

1241
00:58:12,160 --> 00:58:13,680
Speaker 2: buy its stores on the strip.

1242
00:58:13,800 --> 00:58:17,800
Speaker 4: Yeah, mushroom would be We're like, what.

1243
00:58:17,720 --> 00:58:19,280
Speaker 2: Kind of mushroom is in the gummy?

1244
00:58:19,360 --> 00:58:22,920
Speaker 1: Yes, it's another introduction to the Consumer Electronics Show and

1245
00:58:22,960 --> 00:58:25,760
Speaker 1: this beautiful show I'm putting on. My boss, Robert evans

1246
00:58:26,120 --> 00:58:28,960
Speaker 1: Uh sat down at the table and then produced a

1247
00:58:29,000 --> 00:58:32,439
Speaker 1: mysterious bag. I think it's the fairest description saying these

1248
00:58:32,440 --> 00:58:36,800
Speaker 1: are mushrooms I bought at a corner store. I don't

1249
00:58:36,840 --> 00:58:40,880
Speaker 1: know a mushroom vape. There is also a mushroom everyone.

1250
00:58:41,480 --> 00:58:44,600
Speaker 1: Everyone has been letting me know about the mushroom vapory.

1251
00:58:45,520 --> 00:58:48,080
Speaker 1: Do not know what is? What kind of mushrooms?

1252
00:58:48,240 --> 00:58:49,000
Speaker 2: None of them tell you what.

1253
00:58:49,240 --> 00:58:50,480
Speaker 1: I'm not doing them, so.

1254
00:58:50,560 --> 00:58:52,560
Speaker 4: We would never vapor in this hotel suite.

1255
00:58:52,720 --> 00:58:55,840
Speaker 1: Yes, thank you two hundred and fifty dollars. I will

1256
00:58:55,840 --> 00:58:58,960
Speaker 1: not get back anyway. This is my boss, the mushroom man,

1257
00:58:59,200 --> 00:59:01,240
Speaker 1: and this is what the week is going to be

1258
00:59:01,320 --> 00:59:04,120
Speaker 1: like because we refuse to be held by the norms

1259
00:59:04,120 --> 00:59:06,240
Speaker 1: of tech coverage in the sense that we actually want

1260
00:59:06,280 --> 00:59:08,439
Speaker 1: to have a good time. And I believe, and I've

1261
00:59:08,480 --> 00:59:10,120
Speaker 1: done a lot of things about the tech media recently,

1262
00:59:10,160 --> 00:59:11,920
Speaker 1: and this is not the fault of the individual writers,

1263
00:59:11,920 --> 00:59:14,600
Speaker 1: but the outlets themselves. I believe we have all lost

1264
00:59:14,600 --> 00:59:16,960
Speaker 1: the fun in tech. I don't think people enjoy their

1265
00:59:16,960 --> 00:59:20,200
Speaker 1: gizmos anywhere near as much. No, No, I want to

1266
00:59:20,280 --> 00:59:22,960
Speaker 1: enjoy my shit. I love my phone. It's got problems

1267
00:59:22,960 --> 00:59:24,520
Speaker 1: with it, but I love technology. It's great.

1268
00:59:24,720 --> 00:59:27,080
Speaker 3: The funnest thing that this show can't be the LG

1269
00:59:27,280 --> 00:59:30,040
Speaker 3: giant screen's exactly, and that's why I'm so I'm so

1270
00:59:30,080 --> 00:59:32,600
Speaker 3: thankful that you've put this thing together, because yeah, usually

1271
00:59:32,840 --> 00:59:37,080
Speaker 3: covering this is like kind of like brain breaking, and

1272
00:59:37,520 --> 00:59:39,520
Speaker 3: I love having something to look forward to that's not

1273
00:59:39,600 --> 00:59:42,800
Speaker 3: just the big screen, and also drinking as many, like

1274
00:59:42,880 --> 00:59:45,840
Speaker 3: as many cocktails at Showstoppers as I can, which we

1275
00:59:45,920 --> 00:59:47,520
Speaker 3: will be doing tomorrow.

1276
00:59:47,160 --> 00:59:48,200
Speaker 2: Night here every year.

1277
00:59:48,440 --> 00:59:51,240
Speaker 1: And the people of Showstoppers have been very unfair to me,

1278
00:59:51,440 --> 00:59:54,720
Speaker 1: very nasty. They said that I'm a public relations executive

1279
00:59:54,720 --> 00:59:55,800
Speaker 1: and they will not have me there.

1280
00:59:56,880 --> 00:59:59,760
Speaker 4: Will they still not let you into shit? No, they

1281
00:59:59,760 --> 01:00:01,840
Speaker 4: want and make me pay and I'm not paying.

1282
01:00:02,840 --> 01:00:03,640
Speaker 1: They should pay me.

1283
01:00:04,520 --> 01:00:05,040
Speaker 4: Don't worry.

1284
01:00:05,120 --> 01:00:08,320
Speaker 3: I will I will oh no show drink show stop

1285
01:00:08,360 --> 01:00:09,040
Speaker 3: drink for you.

1286
01:00:09,120 --> 01:00:11,600
Speaker 1: Maybe it's Pepcom. They didn't let me into either way,

1287
01:00:11,760 --> 01:00:14,520
Speaker 1: if it showed it was Pepcom. I think nevertheless, many

1288
01:00:14,760 --> 01:00:17,000
Speaker 1: mean people of Pepcom. If you don't let me in

1289
01:00:17,040 --> 01:00:19,200
Speaker 1: your show, I will find a way in there. In spirit,

1290
01:00:19,960 --> 01:00:22,960
Speaker 1: this is a threat, which is most threat.

1291
01:00:23,280 --> 01:00:24,560
Speaker 5: They're gonna blow down the door.

1292
01:00:24,680 --> 01:00:30,720
Speaker 1: No, no, someone is going to be there that will

1293
01:00:30,720 --> 01:00:33,360
Speaker 1: tell me what happened, and then I will talk about it.

1294
01:00:33,400 --> 01:00:36,640
Speaker 1: I will not be doing any crimes. Crimes, thank you.

1295
01:00:37,320 --> 01:00:40,040
Speaker 1: It's going to be the entire goddamn week, isn't it.

1296
01:00:40,080 --> 01:00:42,400
Speaker 1: This is going to be my entire week. Is Robert

1297
01:00:42,440 --> 01:00:45,680
Speaker 1: and Gare and ed now and ed ed has joined

1298
01:00:45,720 --> 01:00:48,720
Speaker 1: in saying Ed, why don't you do crime? And I

1299
01:00:48,760 --> 01:00:52,680
Speaker 1: will be saying I won't. I've never committed, which is great.

1300
01:00:52,840 --> 01:00:54,440
Speaker 1: But this week is I think it's going to be

1301
01:00:54,440 --> 01:00:56,160
Speaker 1: a special week because I think over the course of

1302
01:00:56,160 --> 01:00:57,880
Speaker 1: the week, we're really going to realize how fuck the

1303
01:00:57,960 --> 01:01:00,480
Speaker 1: tech industry is. I think that they're there is some

1304
01:01:00,600 --> 01:01:03,160
Speaker 1: life in the hardware side, but I think there's a

1305
01:01:03,320 --> 01:01:06,440
Speaker 1: genuine fucking hole in the consumer electronics side that is

1306
01:01:06,520 --> 01:01:09,160
Speaker 1: just bleeding, and I think people need to wake the

1307
01:01:09,520 --> 01:01:12,240
Speaker 1: up about it. Maybe the reason CS is fucking miserable

1308
01:01:12,280 --> 01:01:15,000
Speaker 1: is because there's nothing here that's cool like that. I

1309
01:01:15,080 --> 01:01:16,720
Speaker 1: maybe that was why I liked it. In twenty eleven.

1310
01:01:17,000 --> 01:01:19,080
Speaker 1: Twenty eleven, there was Stills. I don't remember very much

1311
01:01:19,080 --> 01:01:19,280
Speaker 1: from that.

1312
01:01:19,320 --> 01:01:21,520
Speaker 2: Poole had a slide. Maybe there was the Mobile World

1313
01:01:21,560 --> 01:01:23,560
Speaker 2: Congress that year. Either way, there was a slide at

1314
01:01:23,560 --> 01:01:24,000
Speaker 2: one point.

1315
01:01:24,040 --> 01:01:25,960
Speaker 1: But also there was stuff that actually got made that

1316
01:01:26,040 --> 01:01:28,680
Speaker 1: was interesting, that solved needs. And indeed, it might be

1317
01:01:28,680 --> 01:01:30,360
Speaker 1: they've sold a lot of the needs already. But it's

1318
01:01:30,400 --> 01:01:32,480
Speaker 1: like fucking how No, Like tech.

1319
01:01:32,400 --> 01:01:36,280
Speaker 3: Was evolving so much back then, Like like there was

1320
01:01:36,320 --> 01:01:40,640
Speaker 3: like genuine like massive massive changes and improvements on like

1321
01:01:40,960 --> 01:01:45,200
Speaker 3: the availability of having a supercomputerly in your hand at

1322
01:01:45,240 --> 01:01:49,040
Speaker 3: all times. And I've had the same iPhone for four

1323
01:01:49,120 --> 01:01:51,080
Speaker 3: years and nothing's.

1324
01:01:50,640 --> 01:01:51,640
Speaker 1: But that's actually the problem.

1325
01:01:51,800 --> 01:01:52,920
Speaker 4: Nothing is better.

1326
01:01:53,040 --> 01:01:55,200
Speaker 1: Maybe we're at the end, Maybe at the end of time.

1327
01:01:56,160 --> 01:01:57,080
Speaker 1: Have we considered this?

1328
01:01:57,360 --> 01:01:59,600
Speaker 2: Yeah, I mean I have a buddy named Francis.

1329
01:01:59,600 --> 01:02:03,600
Speaker 1: Francis, okay, explain the joke for those of us who

1330
01:02:03,600 --> 01:02:05,000
Speaker 1: get it but need the audience to hold.

1331
01:02:05,200 --> 01:02:08,360
Speaker 2: I mean, he wrote a paper that was largely misinterpreted

1332
01:02:08,480 --> 01:02:11,520
Speaker 2: about at the end of the Cold War, about the

1333
01:02:11,640 --> 01:02:12,360
Speaker 2: end of history.

1334
01:02:12,680 --> 01:02:12,800
Speaker 5: Right.

1335
01:02:12,840 --> 01:02:14,520
Speaker 2: It really wasn't saying what it sounds like.

1336
01:02:14,560 --> 01:02:17,120
Speaker 1: He was saying sounds like a thing I should have

1337
01:02:17,200 --> 01:02:18,440
Speaker 1: read but did not.

1338
01:02:18,560 --> 01:02:21,440
Speaker 2: It's okay, no one actually read Francis Fuki. We all

1339
01:02:21,560 --> 01:02:22,840
Speaker 2: just joked about, like.

1340
01:02:22,800 --> 01:02:25,840
Speaker 1: A real Shoshana Zubov situation. I don't know who the

1341
01:02:25,840 --> 01:02:30,320
Speaker 1: fuck surveillance. She wrote a seven hundred page book. If

1342
01:02:30,360 --> 01:02:32,160
Speaker 1: you read the first hundred page, you're like, God, damn,

1343
01:02:32,240 --> 01:02:32,760
Speaker 1: I use it.

1344
01:02:32,720 --> 01:02:34,720
Speaker 5: To keep my door open so my cats can get

1345
01:02:34,760 --> 01:02:35,240
Speaker 5: in my room.

1346
01:02:35,320 --> 01:02:38,520
Speaker 1: It is a very long It's a very long book,

1347
01:02:38,560 --> 01:02:40,480
Speaker 1: and I say, this is someone who does very long podcast.

1348
01:02:40,560 --> 01:02:42,520
Speaker 1: But the first hundred page she's like, damn, you're really

1349
01:02:42,560 --> 01:02:44,000
Speaker 1: on something. In the next six hundred.

1350
01:02:43,840 --> 01:02:46,240
Speaker 2: You're like an editor would have been helpful.

1351
01:02:46,440 --> 01:02:49,360
Speaker 1: Oh, maybe definitely. But also the larger point is that

1352
01:02:49,400 --> 01:02:53,000
Speaker 1: capitalism is simply sick. That we must just fix the

1353
01:02:53,120 --> 01:02:56,560
Speaker 1: obvious problems because otherwise the tech companies would run well

1354
01:02:56,560 --> 01:02:59,160
Speaker 1: if capitalism worked well. And the answer is shut the

1355
01:02:59,200 --> 01:03:02,280
Speaker 1: fuck anyway. I'm gonna have Corey Doctor to talk about

1356
01:03:02,280 --> 01:03:04,320
Speaker 1: that book at some point, because he has some fucking views.

1357
01:03:05,200 --> 01:03:07,040
Speaker 5: He wrote his own book about the books.

1358
01:03:07,400 --> 01:03:10,640
Speaker 1: Yeah, but it is interesting, and I kind of want to.

1359
01:03:11,120 --> 01:03:12,720
Speaker 1: I think I'm going to try and ask everyone what

1360
01:03:12,800 --> 01:03:16,520
Speaker 1: they were excited about this, because I need to find out,

1361
01:03:16,560 --> 01:03:19,400
Speaker 1: first of all, who's a liar, and then second of all,

1362
01:03:19,400 --> 01:03:21,600
Speaker 1: I need to find out if someone truly believes that

1363
01:03:21,640 --> 01:03:22,680
Speaker 1: something is exciting here.

1364
01:03:23,040 --> 01:03:23,320
Speaker 4: Why.

1365
01:03:24,040 --> 01:03:26,400
Speaker 1: I don't remember a single thing I've ever seen at

1366
01:03:26,400 --> 01:03:29,320
Speaker 1: CES other than one year where I saw a sign

1367
01:03:29,400 --> 01:03:33,960
Speaker 1: for a seaman analysis thing with Ai. I was heading

1368
01:03:34,000 --> 01:03:36,280
Speaker 1: out at the time because and I was not in

1369
01:03:36,320 --> 01:03:37,960
Speaker 1: a great mood, because otherwise I would have gone in

1370
01:03:38,000 --> 01:03:40,520
Speaker 1: and be like, can I try it? What do you think?

1371
01:03:41,040 --> 01:03:41,560
Speaker 4: Nah?

1372
01:03:41,840 --> 01:03:44,640
Speaker 1: Like what you see? The I says it's bad?

1373
01:03:44,720 --> 01:03:47,280
Speaker 5: Huh, I'm not, but you I'm pretty excited about that

1374
01:03:47,360 --> 01:03:50,600
Speaker 5: folding laundry robot that you guys were talking about.

1375
01:03:52,160 --> 01:03:53,760
Speaker 1: I'd be really funny to go over there and be like,

1376
01:03:53,800 --> 01:03:57,600
Speaker 1: where's my fucking shirt? Two years ago? It's my fucking shirt. Man,

1377
01:03:57,760 --> 01:04:00,720
Speaker 1: he never gave me that ship back, like KG yelling, uh,

1378
01:04:00,760 --> 01:04:01,480
Speaker 1: where's my money.

1379
01:04:02,320 --> 01:04:04,720
Speaker 2: I am a sicko laptop pervert, so I always look

1380
01:04:04,760 --> 01:04:08,360
Speaker 2: forward to like Lenovo's weird twisting folding laptops. I've got

1381
01:04:08,360 --> 01:04:11,040
Speaker 2: their folding the laptop now, and I love it. I

1382
01:04:11,080 --> 01:04:13,200
Speaker 2: do like their sick little laptop.

1383
01:04:12,960 --> 01:04:15,320
Speaker 1: Weird little laptop, and I wish it was all that

1384
01:04:15,360 --> 01:04:16,480
Speaker 1: weird fucking laptop.

1385
01:04:16,520 --> 01:04:19,120
Speaker 2: Look, give me a weird laptop. Put four screens on

1386
01:04:19,160 --> 01:04:21,040
Speaker 2: the side, should have it fold down to the size

1387
01:04:21,040 --> 01:04:21,560
Speaker 2: of a napkin.

1388
01:04:21,760 --> 01:04:23,720
Speaker 1: That's what I want from seeingos I want. I don't

1389
01:04:23,720 --> 01:04:26,360
Speaker 1: mind if you don't make it. I just mind that

1390
01:04:26,400 --> 01:04:28,880
Speaker 1: it's fun and it's like, hey, here's something that's plausible

1391
01:04:28,880 --> 01:04:31,000
Speaker 1: and we are not building it. Yeah, that's so boring.

1392
01:04:31,080 --> 01:04:34,080
Speaker 2: I don't get angry at the folding one hundred inch television. Yeah,

1393
01:04:34,360 --> 01:04:36,520
Speaker 2: I would never buy one, but I am like, that

1394
01:04:36,680 --> 01:04:39,200
Speaker 2: is a TV that's folding. Yeah, it's pretty cool.

1395
01:04:39,360 --> 01:04:41,200
Speaker 1: And I could see that would be delayed due to

1396
01:04:41,360 --> 01:04:44,040
Speaker 1: the fact that you're doing the thing unassociated.

1397
01:04:43,360 --> 01:04:45,680
Speaker 2: And no one wants mostly associated with.

1398
01:04:45,680 --> 01:04:48,320
Speaker 1: Clothes, and also there is no market of any kind.

1399
01:04:48,800 --> 01:04:50,760
Speaker 1: But even then they still make them. You still get

1400
01:04:50,800 --> 01:04:53,720
Speaker 1: like the fifty thousand dollars lg TV that can run

1401
01:04:53,720 --> 01:04:54,280
Speaker 1: on a battery.

1402
01:04:54,320 --> 01:04:56,960
Speaker 2: It's like that three million dollar glasses free three D

1403
01:04:57,080 --> 01:04:58,840
Speaker 2: television they used to bring around where it's like this

1404
01:04:58,920 --> 01:05:02,280
Speaker 2: fucker works. You gotta stand in one specific area.

1405
01:05:02,040 --> 01:05:05,800
Speaker 1: But this is basically a giant three DS but it

1406
01:05:06,320 --> 01:05:08,800
Speaker 1: doesn't work well. Last year they had I think their

1407
01:05:08,800 --> 01:05:12,919
Speaker 1: biggest TV thing was like a transparent transparent TV.

1408
01:05:13,040 --> 01:05:14,320
Speaker 4: Yeah, yeah, yeah, I love that.

1409
01:05:14,120 --> 01:05:15,400
Speaker 2: That was so stupid.

1410
01:05:15,560 --> 01:05:17,960
Speaker 1: I love that because they were like, even like the

1411
01:05:18,000 --> 01:05:20,600
Speaker 1: tech journalists just trying, they weren't trying it. They were

1412
01:05:20,640 --> 01:05:21,960
Speaker 1: just reading off the fucking press.

1413
01:05:21,960 --> 01:05:23,080
Speaker 2: And it's like, I.

1414
01:05:23,040 --> 01:05:26,480
Speaker 1: Don't fucking know what. I don't fucking know why. We

1415
01:05:26,520 --> 01:05:29,560
Speaker 1: have no more horizons, No, there's no more landsall got

1416
01:05:29,600 --> 01:05:31,520
Speaker 1: the rock com bubble In July, I fucking said that

1417
01:05:31,600 --> 01:05:34,680
Speaker 1: there's nothing left. We're at the end. And I will

1418
01:05:34,760 --> 01:05:37,439
Speaker 1: not rate it because and that really it does feel

1419
01:05:37,480 --> 01:05:39,080
Speaker 1: like I'm narrating the end of the world at times,

1420
01:05:39,080 --> 01:05:42,240
Speaker 1: and this show does not fucking help. It doesn't give

1421
01:05:42,320 --> 01:05:45,120
Speaker 1: me hope. I don't get I don't see anything at

1422
01:05:45,120 --> 01:05:46,880
Speaker 1: cs WRO. I'm like, finally, no.

1423
01:05:47,000 --> 01:05:50,480
Speaker 3: But I think it's so crucial because the whole thing

1424
01:05:50,520 --> 01:05:52,680
Speaker 3: about AI right now, the thing everyone says is like

1425
01:05:52,960 --> 01:05:55,040
Speaker 3: it's only going to get better, right this is this

1426
01:05:55,120 --> 01:05:57,000
Speaker 3: is the worst it's going to get. And the thing

1427
01:05:57,000 --> 01:06:00,560
Speaker 3: that you've been so good on like specifically for your beat,

1428
01:06:00,720 --> 01:06:06,040
Speaker 3: is showing how things don't actually like infinitely improve like

1429
01:06:05,600 --> 01:06:08,160
Speaker 3: a like Google search is such a good is such

1430
01:06:08,160 --> 01:06:10,400
Speaker 3: a good example that, like, no, sometimes things actually can't

1431
01:06:10,400 --> 01:06:14,640
Speaker 3: get worse. We can't assume everything will just get better.

1432
01:06:14,760 --> 01:06:17,160
Speaker 1: Well it hasn't, though. I think that that's the real thing,

1433
01:06:17,200 --> 01:06:20,400
Speaker 1: and this show kind of shows it in the nothing

1434
01:06:20,440 --> 01:06:23,440
Speaker 1: has got better. They don't show us stuff here where

1435
01:06:23,440 --> 01:06:25,640
Speaker 1: I'm like other than TV stuff. TV's are cool. I

1436
01:06:25,640 --> 01:06:29,120
Speaker 1: love TVs whatever, big big computer fuss compute whatever. But

1437
01:06:29,200 --> 01:06:31,880
Speaker 1: like of actual things we've seen at CS, I first

1438
01:06:31,920 --> 01:06:34,920
Speaker 1: of all, cannot remember a single fucking thing I've seen it. See,

1439
01:06:35,040 --> 01:06:37,440
Speaker 1: I just I go in. I look at them for hours,

1440
01:06:37,640 --> 01:06:39,760
Speaker 1: and then my brain just leaves and I leave in.

1441
01:06:39,920 --> 01:06:43,200
Speaker 1: My brain's like it's gone, okay, that's going with where Spanish, French,

1442
01:06:43,240 --> 01:06:44,280
Speaker 1: German and Latin went.

1443
01:06:44,400 --> 01:06:47,880
Speaker 5: So who are the winners? It's it's gamers, gooners, investors.

1444
01:06:48,160 --> 01:06:50,880
Speaker 1: The thing is, I don't even think those always right.

1445
01:06:52,520 --> 01:06:59,520
Speaker 3: Three groups that always keep winning Gamers, goers and tech enthusiasts.

1446
01:06:59,560 --> 01:07:01,960
Speaker 1: But there's not even stuff for gunas anymore.

1447
01:07:02,640 --> 01:07:06,520
Speaker 2: Oh no, no, no, no, you know you know.

1448
01:07:06,480 --> 01:07:07,440
Speaker 4: A true goods.

1449
01:07:08,000 --> 01:07:11,920
Speaker 2: They're always DTG as the kids.

1450
01:07:11,200 --> 01:07:13,760
Speaker 4: We have been reporting on. I am come beat every cees.

1451
01:07:13,880 --> 01:07:17,080
Speaker 1: Okay, Well, love to introduce my listeners to this, especially

1452
01:07:17,080 --> 01:07:19,200
Speaker 1: the ones that came in through the Very Serious podcast

1453
01:07:19,240 --> 01:07:21,760
Speaker 1: and the Lena Kahn interview. That's the ones the people

1454
01:07:21,800 --> 01:07:23,400
Speaker 1: hearing this from the Lena Connor.

1455
01:07:23,600 --> 01:07:28,720
Speaker 2: Lena Khan come on, come, let's talk about the FCC.

1456
01:07:29,040 --> 01:07:35,680
Speaker 1: No. No, she said she'd come back on theoretically.

1457
01:07:34,880 --> 01:07:39,880
Speaker 2: You know what you're doing, Jesus Christ.

1458
01:07:40,320 --> 01:07:42,800
Speaker 3: No, but I you know, twenty twenty five is the

1459
01:07:42,880 --> 01:07:44,200
Speaker 3: year that we are all that we are all going

1460
01:07:44,240 --> 01:07:45,360
Speaker 3: to have sex with robots.

1461
01:07:45,600 --> 01:07:47,040
Speaker 4: I'm excited for some kind.

1462
01:07:46,920 --> 01:07:52,200
Speaker 2: Of insane champaign room sex.

1463
01:07:54,400 --> 01:07:56,880
Speaker 3: No, I'm waiting for some like some insane like like

1464
01:07:57,040 --> 01:08:01,440
Speaker 3: AI power like masturbation tool, because I I was I know,

1465
01:08:01,560 --> 01:08:02,800
Speaker 3: I know there's going to be a new one on

1466
01:08:02,840 --> 01:08:04,840
Speaker 3: the first year that they did. But there's gonna be

1467
01:08:04,840 --> 01:08:06,080
Speaker 3: a new one on the front this year.

1468
01:08:07,040 --> 01:08:14,960
Speaker 2: They only sent us the sheaths, the actually handing out.

1469
01:08:18,880 --> 01:08:19,080
Speaker 5: This.

1470
01:08:20,400 --> 01:08:25,160
Speaker 4: You have to forge this one your it's somebody.

1471
01:08:25,600 --> 01:08:28,040
Speaker 3: It's like the most like sex averse group of people

1472
01:08:28,120 --> 01:08:31,320
Speaker 3: walking the show floor and you have these like you

1473
01:08:31,439 --> 01:08:36,400
Speaker 3: have these people enthusiastically trying to like give people loose,

1474
01:08:36,439 --> 01:08:39,360
Speaker 3: and you're like, these people are these people are.

1475
01:08:39,760 --> 01:08:42,240
Speaker 2: Similar from countries where you're not allowed to come.

1476
01:08:43,680 --> 01:08:47,840
Speaker 1: Yeah, they're actually tell me I can't anyway moving home

1477
01:08:47,880 --> 01:08:50,760
Speaker 1: from that one. But I'm so sorry to like the

1478
01:08:50,840 --> 01:08:54,960
Speaker 1: respectable like table. We got like awards this year from

1479
01:08:55,000 --> 01:08:57,759
Speaker 1: like real business publication. There's some posts like I can't.

1480
01:08:57,560 --> 01:09:00,600
Speaker 4: Wait to him this is like, this is good. This

1481
01:09:00,680 --> 01:09:03,760
Speaker 4: is actually a pretty big part of how the.

1482
01:09:03,760 --> 01:09:05,920
Speaker 1: Fuck do we get gooning into the first episode of

1483
01:09:05,920 --> 01:09:07,680
Speaker 1: this goddamn because.

1484
01:09:07,800 --> 01:09:10,080
Speaker 3: Because it's what else are you going to do with

1485
01:09:10,120 --> 01:09:14,320
Speaker 3: all of those curved all of this curved tvss?

1486
01:09:14,439 --> 01:09:15,880
Speaker 5: Because what do you think they do with them after

1487
01:09:15,960 --> 01:09:19,800
Speaker 5: they hold the laundry? You know, they put them, put

1488
01:09:19,840 --> 01:09:20,880
Speaker 5: them off the line.

1489
01:09:23,160 --> 01:09:23,599
Speaker 1: Mistake.

1490
01:09:24,560 --> 01:09:26,960
Speaker 3: This is also like one of the one of the

1491
01:09:27,000 --> 01:09:31,600
Speaker 3: biggest uses of like all of all of these lbs.

1492
01:09:31,600 --> 01:09:33,400
Speaker 4: It's just people using them as sex spots.

1493
01:09:33,479 --> 01:09:35,559
Speaker 1: And actually, you know what, I don't mind what people

1494
01:09:35,600 --> 01:09:39,040
Speaker 1: do with that, but I will say I don't think

1495
01:09:39,080 --> 01:09:41,280
Speaker 1: that they've got anything else other than that. I don't

1496
01:09:41,320 --> 01:09:43,160
Speaker 1: think there's any other sticky that's.

1497
01:09:45,680 --> 01:09:47,479
Speaker 4: Really walked into that fucking hell.

1498
01:09:49,200 --> 01:09:50,960
Speaker 1: No, I actually conquim it sticky.

1499
01:09:51,840 --> 01:09:55,439
Speaker 2: I learned a lot socially by meeting other weird freaks

1500
01:09:55,479 --> 01:09:58,439
Speaker 2: on World of Warcraft, right and doing role play sex

1501
01:09:58,479 --> 01:10:00,599
Speaker 2: with them. That was the way you grew up as

1502
01:10:00,640 --> 01:10:01,599
Speaker 2: a seventeen year old.

1503
01:10:01,680 --> 01:10:03,559
Speaker 1: Race were you? And what race were they?

1504
01:10:04,200 --> 01:10:07,760
Speaker 2: I mean you usually Niels obviously, of course. Okay, it

1505
01:10:07,880 --> 01:10:08,920
Speaker 2: was two thousand and seven.

1506
01:10:09,080 --> 01:10:10,679
Speaker 1: I mean you could have been a NiFe. You could

1507
01:10:10,680 --> 01:10:13,880
Speaker 1: have been a no. No, they were good new No,

1508
01:10:14,720 --> 01:10:15,240
Speaker 1: you just you.

1509
01:10:15,360 --> 01:10:18,320
Speaker 2: Just tried things on the internet back then. Lou is

1510
01:10:18,360 --> 01:10:18,920
Speaker 2: a person.

1511
01:10:19,360 --> 01:10:21,840
Speaker 1: But nevertheless, it is funny that that appears to be

1512
01:10:21,880 --> 01:10:25,280
Speaker 1: the one use case of like because people are just like,

1513
01:10:25,439 --> 01:10:27,680
Speaker 1: just like millions of people getting into erotica for the

1514
01:10:27,720 --> 01:10:31,600
Speaker 1: first time. Now this is bartender. Phil just walked in

1515
01:10:31,640 --> 01:10:34,760
Speaker 1: and that was the first thing he heard. So very

1516
01:10:34,800 --> 01:10:37,040
Speaker 1: good stuff, Phil. All the normals are happening here.

1517
01:10:37,240 --> 01:10:39,679
Speaker 2: We're talking about how AI is helping people come.

1518
01:10:41,240 --> 01:10:45,640
Speaker 1: M I'm so I'm so sorry. By the way, some

1519
01:10:45,880 --> 01:10:49,439
Speaker 1: people who listen to this podcast ostensibly to learn about

1520
01:10:49,439 --> 01:10:52,679
Speaker 1: the Rotti economy and the tech industries collapse and now

1521
01:10:52,720 --> 01:10:55,160
Speaker 1: everyone's talking about their willies and who hasn't.

1522
01:10:55,840 --> 01:10:57,840
Speaker 3: I mean, this is a core part of the industry though,

1523
01:10:57,920 --> 01:11:00,720
Speaker 3: like really, like this is why we have a little

1524
01:11:01,280 --> 01:11:02,439
Speaker 3: driven yah.

1525
01:11:02,479 --> 01:11:05,400
Speaker 1: Yeah, Actually pornography has always driven tech, which is why

1526
01:11:05,520 --> 01:11:07,760
Speaker 1: they pulled the AVN away because then they'd have something

1527
01:11:07,840 --> 01:11:11,400
Speaker 1: to aspire to. And also that's a profitable industry, right.

1528
01:11:11,360 --> 01:11:14,639
Speaker 5: Yeah, you can't remind people there's no money being actually made.

1529
01:11:14,760 --> 01:11:18,160
Speaker 1: Yeah, Like, oh my god, this is the thing. I

1530
01:11:18,240 --> 01:11:21,599
Speaker 1: really I really didn't think about how likely it would

1531
01:11:21,600 --> 01:11:24,000
Speaker 1: be that someone would bring up gooning, let alone on

1532
01:11:24,040 --> 01:11:27,320
Speaker 1: the first episode. But I mean, this is still more

1533
01:11:27,320 --> 01:11:30,479
Speaker 1: fun I've had any c Yeah, because you go into

1534
01:11:30,479 --> 01:11:33,800
Speaker 1: these shows and they are definitely sexless. Yeah, and there

1535
01:11:33,840 --> 01:11:35,720
Speaker 1: are definitely guys in the tech industry like if they

1536
01:11:35,800 --> 01:11:37,840
Speaker 1: had like good sex, they'd be really happy, Elon Musk

1537
01:11:37,840 --> 01:11:41,240
Speaker 1: being one of them. But it's it is also weird

1538
01:11:41,280 --> 01:11:44,520
Speaker 1: how just like joyless, it is putting aside horniness deliberately.

1539
01:11:46,400 --> 01:11:48,679
Speaker 1: It does just feel very fucking joyless. No one seems

1540
01:11:48,720 --> 01:11:50,360
Speaker 1: to I think it's problem in the tech media as well.

1541
01:11:50,439 --> 01:11:52,720
Speaker 1: No one seems excited about anything, no one even is

1542
01:11:52,720 --> 01:11:55,280
Speaker 1: looking forward to it. It's like a group burden that

1543
01:11:55,360 --> 01:11:57,320
Speaker 1: we all share every year. I just refuse to have

1544
01:11:57,400 --> 01:11:58,200
Speaker 1: it that way. Anymore.

1545
01:11:58,400 --> 01:12:01,000
Speaker 2: Yeah, it's uh. I think it's good. I'm excited for

1546
01:12:01,040 --> 01:12:05,679
Speaker 2: the rest of this. I think we probably should close

1547
01:12:05,760 --> 01:12:06,160
Speaker 2: things up.

1548
01:12:06,360 --> 01:12:08,920
Speaker 1: Oh okay, don't worry. I'm I was just planning to

1549
01:12:08,960 --> 01:12:10,120
Speaker 1: and the MC Robert.

1550
01:12:10,400 --> 01:12:13,000
Speaker 2: Now, I gotta show you guys some weird AI videos

1551
01:12:13,040 --> 01:12:13,759
Speaker 2: after this.

1552
01:12:13,840 --> 01:12:16,880
Speaker 1: And I have to peek so little as we do

1553
01:12:16,960 --> 01:12:18,600
Speaker 1: our outro. Now, I'm going to talk you through the

1554
01:12:18,600 --> 01:12:20,559
Speaker 1: rest of the week. Robert and Gare will be joining

1555
01:12:20,600 --> 01:12:22,840
Speaker 1: us again on Friday for one of our two slots.

1556
01:12:22,880 --> 01:12:24,760
Speaker 1: But the way this is gonna work is you're gonna

1557
01:12:24,760 --> 01:12:27,000
Speaker 1: get this episode. You're listening to this around twelve am

1558
01:12:27,040 --> 01:12:28,800
Speaker 1: met I assume that this is the one thing you

1559
01:12:28,840 --> 01:12:32,720
Speaker 1: do with your day, and then maybe about eight ten

1560
01:12:32,760 --> 01:12:34,640
Speaker 1: hours like are you're gonna get the second episode. Then

1561
01:12:34,680 --> 01:12:37,280
Speaker 1: we're gonna have David Roth of Defectory's gonna be joining us.

1562
01:12:37,439 --> 01:12:38,880
Speaker 1: My two elves are going to be here to look

1563
01:12:38,880 --> 01:12:40,240
Speaker 1: on the floor. I will be going to the floor,

1564
01:12:40,320 --> 01:12:43,440
Speaker 1: Yes I will, but not until Wednesday due to situations.

1565
01:12:43,680 --> 01:12:46,040
Speaker 1: We will have a gaggle of wonderful reporter as well,

1566
01:12:46,160 --> 01:12:48,840
Speaker 1: Jesse Ferrara of your Kickstarter Sucks. We will have a

1567
01:12:48,880 --> 01:12:52,760
Speaker 1: real life priest an actual Dominican monk. I'm gonna have

1568
01:12:52,760 --> 01:12:56,840
Speaker 1: many more fun things in store. Robert Gare where can

1569
01:12:56,840 --> 01:12:58,879
Speaker 1: people find you?

1570
01:12:58,880 --> 01:13:01,160
Speaker 2: You can find our d show It could happen here.

1571
01:13:01,240 --> 01:13:04,440
Speaker 2: We'll be talking about some of the great AI generated

1572
01:13:04,520 --> 01:13:07,519
Speaker 2: movies that I watched today during my panels. I do

1573
01:13:07,600 --> 01:13:09,519
Speaker 2: not look forward to seeing Oh you're gonna oh, I

1574
01:13:09,760 --> 01:13:13,960
Speaker 2: really unhappy and yeah, that's it. You can listen to

1575
01:13:14,080 --> 01:13:18,000
Speaker 2: us on it could happen here Social profiles. I am

1576
01:13:18,040 --> 01:13:20,720
Speaker 2: on the Blue Sky I write, okay, I don't want

1577
01:13:20,720 --> 01:13:22,760
Speaker 2: to tell you my Twitter. Get off Twitter dot, go

1578
01:13:22,840 --> 01:13:23,480
Speaker 2: on Twitter.

1579
01:13:23,320 --> 01:13:25,680
Speaker 1: Get weacome people find I am not following you, now

1580
01:13:25,720 --> 01:13:26,280
Speaker 1: you're following me.

1581
01:13:26,280 --> 01:13:28,320
Speaker 3: Now you're not following me On Blue Sky, right, I

1582
01:13:28,439 --> 01:13:30,040
Speaker 3: responded to a post game.

1583
01:13:30,000 --> 01:13:30,840
Speaker 4: But yes i am.

1584
01:13:31,200 --> 01:13:34,000
Speaker 3: I am on Blue Sky at at at Hungry Bootie

1585
01:13:34,439 --> 01:13:36,440
Speaker 3: dot blue sky dot Social.

1586
01:13:37,000 --> 01:13:38,000
Speaker 1: I'm gray, so welcome.

1587
01:13:38,000 --> 01:13:42,559
Speaker 5: People find you on on Twitter and on Blue Sky

1588
01:13:43,040 --> 01:13:47,960
Speaker 5: I am a big black Jacobin. And then I'm on

1589
01:13:48,600 --> 01:13:53,880
Speaker 5: the tech bubble, the substack mostly address tech bubble dot

1590
01:13:53,920 --> 01:13:55,480
Speaker 5: substack dot com.

1591
01:13:55,240 --> 01:13:57,439
Speaker 1: Very good, and you can of course find me at

1592
01:13:57,520 --> 01:14:01,000
Speaker 1: zychron and gab and otherwise not No, I'm on I

1593
01:14:01,040 --> 01:14:01,840
Speaker 1: am not on gap.

1594
01:14:02,200 --> 01:14:04,920
Speaker 4: I am not on anymore because it's just Twitter.

1595
01:14:05,640 --> 01:14:06,839
Speaker 2: But it's a secret account.

1596
01:14:06,880 --> 01:14:07,240
Speaker 4: I mean.

1597
01:14:09,200 --> 01:14:11,599
Speaker 2: Some people I'm following you to do a shoot.

1598
01:14:12,400 --> 01:14:14,439
Speaker 1: Just no, I'm not gonna tell you ship because you

1599
01:14:14,439 --> 01:14:16,599
Speaker 1: can see the episode links and also Zitron is on.

1600
01:14:16,640 --> 01:14:19,040
Speaker 1: Who the fuck else is a dumbass name like this?

1601
01:14:19,040 --> 01:14:21,120
Speaker 1: This is, of course, the first episode of the Better

1602
01:14:21,160 --> 01:14:25,080
Speaker 1: Offline c S Extravaganza Saga of course mastered by the

1603
01:14:25,080 --> 01:14:27,800
Speaker 1: wonderful Mattasowski, who is here producing us in real time.

1604
01:14:28,000 --> 01:14:35,640
Speaker 1: Thank you so much for listening, very excited for this week.

1605
01:14:38,920 --> 01:14:41,360
Speaker 1: Thank you for listening to Better Offline. The editor and

1606
01:14:41,360 --> 01:14:44,559
Speaker 1: composer of the Better Offline theme song is Matasowski. You

1607
01:14:44,560 --> 01:14:46,799
Speaker 1: can check out more of his music and audio projects

1608
01:14:46,960 --> 01:14:50,479
Speaker 1: at Mattasowski dot com, m A T T O S

1609
01:14:50,520 --> 01:14:54,519
Speaker 1: O W s k I dot com. You can email

1610
01:14:54,520 --> 01:14:57,000
Speaker 1: me at easy at Better Offline dot com or visit

1611
01:14:57,040 --> 01:14:59,360
Speaker 1: Better Offline dot com to find more podcast links and

1612
01:14:59,360 --> 01:15:02,519
Speaker 1: of course my new I also really recommend you go

1613
01:15:02,560 --> 01:15:05,160
Speaker 1: to chat dot Where's youread dot at to visit the discord,

1614
01:15:05,439 --> 01:15:07,720
Speaker 1: and go to our slash Better Offline to check out

1615
01:15:07,760 --> 01:15:11,679
Speaker 1: I'll Reddit. Thank you so much for listening Better.

1616
01:15:11,600 --> 01:15:13,719
Speaker 4: Offline is a production of cool Zone Media.

1617
01:15:13,880 --> 01:15:16,720
Speaker 2: For more from cool Zone Media, visit our website cool

1618
01:15:16,760 --> 01:15:20,120
Speaker 2: zonemedia dot com, or check us out on the iHeartRadio app,

1619
01:15:20,200 --> 01:15:22,880
Speaker 2: Apple Podcasts, or wherever you get your podcasts.