1 00:00:01,760 --> 00:00:02,880 Speaker 1: A Zone Media. 2 00:00:04,840 --> 00:00:08,000 Speaker 2: Welcome to the final episode of Better Offlines coverage of 3 00:00:08,039 --> 00:00:25,960 Speaker 2: the Consumer Electronics Show. I love you all, all right, 4 00:00:26,640 --> 00:00:29,120 Speaker 2: so we've made it everyone, we're on. The final day 5 00:00:29,320 --> 00:00:35,080 Speaker 2: is Saturday, January eleventh. We have all we conferenced ourselves 6 00:00:35,159 --> 00:00:38,599 Speaker 2: out a bit. We had a wonderful positive masculinity day, 7 00:00:39,040 --> 00:00:41,840 Speaker 2: went out and got brunch, we went got massages. Tonight 8 00:00:41,840 --> 00:00:43,760 Speaker 2: we're going to go get dinner. But we're here for 9 00:00:43,880 --> 00:00:47,440 Speaker 2: kind of a kind of an epilogue episode because yesterday 10 00:00:47,520 --> 00:00:49,480 Speaker 2: I thought was going to be less of a close, 11 00:00:49,520 --> 00:00:51,280 Speaker 2: but it turned out to be a real finale. So 12 00:00:51,360 --> 00:00:54,320 Speaker 2: really this is just about what we've learned at the CES. 13 00:00:54,720 --> 00:00:56,560 Speaker 2: So Phil, what have you learned at the CS? What 14 00:00:56,720 --> 00:01:01,040 Speaker 2: is it? 15 00:01:01,040 --> 00:01:02,240 Speaker 3: It's an ergonomics thing. 16 00:01:02,480 --> 00:01:02,959 Speaker 2: Okay. 17 00:01:03,720 --> 00:01:06,920 Speaker 3: So we just got massages, and man, I feel so 18 00:01:07,080 --> 00:01:10,480 Speaker 3: much better than I did five days standing on my 19 00:01:10,520 --> 00:01:14,920 Speaker 3: feet on marble in my multi decade career of gambling 20 00:01:14,959 --> 00:01:17,680 Speaker 3: in this fine city, and it's many beautiful slot machines 21 00:01:17,720 --> 00:01:21,759 Speaker 3: that we've previously discussed. I've gotten a sample a lot 22 00:01:21,800 --> 00:01:25,120 Speaker 3: of rooms, a lot of decor, and one of the 23 00:01:25,160 --> 00:01:28,720 Speaker 3: things that I've picked up is the more high end 24 00:01:28,800 --> 00:01:32,360 Speaker 3: your room is, the less carpet you get, so you 25 00:01:32,400 --> 00:01:34,160 Speaker 3: get a lot of marble to stand on, which is 26 00:01:34,400 --> 00:01:37,679 Speaker 3: awful on your feet. And I came back and I 27 00:01:38,280 --> 00:01:41,640 Speaker 3: earlier today I went looking at the pit bosses and 28 00:01:41,680 --> 00:01:45,320 Speaker 3: the dealers and realized they're standing on marble too. I 29 00:01:45,360 --> 00:01:50,760 Speaker 3: cannot imagine trying to work an entire day standing on 30 00:01:50,800 --> 00:01:51,280 Speaker 3: that outside. 31 00:01:51,360 --> 00:01:53,200 Speaker 2: So what was the lesson you learn? 32 00:01:53,320 --> 00:01:57,760 Speaker 3: Though, Auci, the richer you are, the more you're going 33 00:01:57,840 --> 00:01:59,240 Speaker 3: to hurt for style. 34 00:02:00,080 --> 00:02:03,960 Speaker 2: Hm hmm. Yeah. The problem is people keep thinking about 35 00:02:04,040 --> 00:02:06,200 Speaker 2: rich and hurt a little too much at the moment, 36 00:02:06,280 --> 00:02:09,360 Speaker 2: and I don't really want to fuel that conversation. So 37 00:02:10,680 --> 00:02:15,000 Speaker 2: the thing is more comfortable shoes. I guess you need. Possibly, Yeah, 38 00:02:15,120 --> 00:02:17,640 Speaker 2: we need to get you like a little kitchen pad. 39 00:02:18,240 --> 00:02:21,000 Speaker 2: Actually that might I'm saying that facetiously when that actually 40 00:02:21,080 --> 00:02:23,000 Speaker 2: might be the solution to the problem. Because Phil has 41 00:02:23,000 --> 00:02:25,560 Speaker 2: been tending bar. If you're for some reason choosing the 42 00:02:25,600 --> 00:02:29,680 Speaker 2: epilogue episode to start with, right, you're my kind of freak. 43 00:02:30,200 --> 00:02:32,320 Speaker 2: By the way, I am joined by, of course, health 44 00:02:32,320 --> 00:02:37,160 Speaker 2: physicist and bartender Phil BroadOn, who has been I think 45 00:02:37,160 --> 00:02:39,320 Speaker 2: you've served well at least one hundred drinks this week. 46 00:02:40,480 --> 00:02:45,680 Speaker 3: Oh well, based on the stacks of my cups well more, 47 00:02:45,720 --> 00:02:47,320 Speaker 3: we're probably in the two hundred range. 48 00:02:47,840 --> 00:02:50,960 Speaker 2: Yeah, and you've seen most of the tech media. It's 49 00:02:51,000 --> 00:02:53,680 Speaker 2: been lovely. Phil has been working his ass off and 50 00:02:53,720 --> 00:02:56,360 Speaker 2: we're all very grateful. And most of the tech media 51 00:02:56,400 --> 00:02:58,240 Speaker 2: is grateful. I say that as if some of them 52 00:02:58,240 --> 00:03:00,320 Speaker 2: wouldn't be, And well, maybe. 53 00:03:00,360 --> 00:03:02,480 Speaker 3: Like at eighty six from my bar, if they were. 54 00:03:02,440 --> 00:03:04,359 Speaker 2: Yeah, that's true. I don't think that's the case. We've 55 00:03:04,400 --> 00:03:07,919 Speaker 2: had like an unrelenting horde of very pleasant, lovely people. 56 00:03:07,960 --> 00:03:10,480 Speaker 2: And talking of that, mister Edward and Grazo Junior joins 57 00:03:10,560 --> 00:03:13,800 Speaker 2: us for our last day here. Hello, Hello, how you 58 00:03:13,840 --> 00:03:17,000 Speaker 2: feeling ed fighting the itis? You got the itis? 59 00:03:17,200 --> 00:03:22,519 Speaker 4: I mean, I have an unconscionable amount of food in 60 00:03:22,600 --> 00:03:23,200 Speaker 4: my belly. 61 00:03:23,440 --> 00:03:25,480 Speaker 2: Yeah, we fed, we fed. Just to be clear, I 62 00:03:25,520 --> 00:03:29,320 Speaker 2: fed the boys up being gorged and we're only doing 63 00:03:29,320 --> 00:03:30,560 Speaker 2: more of it tonight. 64 00:03:30,560 --> 00:03:36,600 Speaker 4: This morning and more. Yeah, you can do it. Did Yeah. 65 00:03:36,640 --> 00:03:40,680 Speaker 4: I woke up with heartburn in a slightly collapsed look 66 00:03:42,280 --> 00:03:43,360 Speaker 4: to inflate again. 67 00:03:43,640 --> 00:03:46,600 Speaker 2: But other than that, you know, average better offline lessener, 68 00:03:47,520 --> 00:03:50,720 Speaker 2: just one step closer to the end. I just want 69 00:03:50,720 --> 00:03:53,240 Speaker 2: to be clear, by the way, I feel great. My 70 00:03:53,400 --> 00:03:56,000 Speaker 2: Masseuse told me that my body is actually doing pretty 71 00:03:56,040 --> 00:03:57,560 Speaker 2: well and that I need to keep doing yoga. So 72 00:03:57,880 --> 00:04:00,280 Speaker 2: the answer here is that the more you speak on 73 00:04:00,320 --> 00:04:02,840 Speaker 2: the mic, the better you feel, more powerful you become, 74 00:04:02,880 --> 00:04:06,000 Speaker 2: the more power you accumulate over it over the course 75 00:04:06,000 --> 00:04:10,480 Speaker 2: of this. But I think it's been a very It's 76 00:04:10,520 --> 00:04:13,440 Speaker 2: been my favorite CS ever, and Phil at this point 77 00:04:13,520 --> 00:04:15,520 Speaker 2: has been to eight with me. It's the eighth YEP. 78 00:04:15,760 --> 00:04:17,200 Speaker 2: And I think what was really fun about it, other 79 00:04:17,240 --> 00:04:18,560 Speaker 2: than the fact that I got to just do a 80 00:04:18,560 --> 00:04:22,800 Speaker 2: weird radio show for like thirteen hours, is that it's 81 00:04:22,839 --> 00:04:25,320 Speaker 2: given me a lot of hope about the tech media. 82 00:04:25,320 --> 00:04:27,159 Speaker 2: And not that it was like blackpilled or anything, not 83 00:04:27,200 --> 00:04:28,960 Speaker 2: that I was like, oh, this is all bad, but 84 00:04:29,400 --> 00:04:31,440 Speaker 2: you talk to people, the people d Gadget. We have 85 00:04:31,720 --> 00:04:33,720 Speaker 2: three people from n Gadget or that Max Journey from 86 00:04:33,760 --> 00:04:36,279 Speaker 2: Reuter's and all of these people who are like so 87 00:04:36,560 --> 00:04:39,440 Speaker 2: passionate and actually rave. They gave a shit, and they 88 00:04:39,440 --> 00:04:40,919 Speaker 2: gave a shit, and they were strategic about how they 89 00:04:40,960 --> 00:04:42,520 Speaker 2: gave a shit and the way they talked about it. 90 00:04:42,680 --> 00:04:44,840 Speaker 2: And I think you listeners can kind of agree with me. 91 00:04:44,920 --> 00:04:48,280 Speaker 2: It's it's really heartening to hear others talk about this 92 00:04:48,279 --> 00:04:50,760 Speaker 2: because I feel like the byelines that some people arounder 93 00:04:50,760 --> 00:04:52,160 Speaker 2: they kind of rob them with that passion. 94 00:04:53,000 --> 00:04:53,720 Speaker 4: Yeah. 95 00:04:53,839 --> 00:05:00,320 Speaker 3: The actually some of the best talks talks interviews for 96 00:05:00,560 --> 00:05:02,839 Speaker 3: our reporters that came to visit to talk about the 97 00:05:02,880 --> 00:05:06,000 Speaker 3: things where you I'm not going to say you crowbarred 98 00:05:06,000 --> 00:05:08,640 Speaker 3: out of them for tell me the best thing you saw, 99 00:05:08,800 --> 00:05:11,080 Speaker 3: the thing that made you happiest when you were on 100 00:05:11,120 --> 00:05:15,000 Speaker 3: the floor. The thing they saw that invariably made all 101 00:05:15,040 --> 00:05:19,200 Speaker 3: of them happiest seemed to be when they found a 102 00:05:19,279 --> 00:05:22,719 Speaker 3: presenter on the floor with a booth who also gave 103 00:05:22,760 --> 00:05:28,040 Speaker 3: a shit. Yeah, so it's not people do love tech. 104 00:05:28,320 --> 00:05:28,599 Speaker 2: Yeah. 105 00:05:29,080 --> 00:05:32,200 Speaker 3: If you have come here and you hate what you're offering, uh, 106 00:05:32,560 --> 00:05:33,760 Speaker 3: we're gonna notice. 107 00:05:33,480 --> 00:05:35,080 Speaker 2: And we're going to talk about it and we will 108 00:05:35,080 --> 00:05:35,919 Speaker 2: talk about it. 109 00:05:35,960 --> 00:05:39,200 Speaker 3: But we love tech, yeah they if you're selling it, 110 00:05:39,320 --> 00:05:40,240 Speaker 3: you need to love tech. 111 00:05:40,480 --> 00:05:40,680 Speaker 4: Yeah. 112 00:05:41,680 --> 00:05:43,440 Speaker 2: And I think it's easy to give into the kind 113 00:05:43,440 --> 00:05:45,400 Speaker 2: of cynicism of the moment because the people run in 114 00:05:45,440 --> 00:05:48,000 Speaker 2: the tech industry and no edge. You feel this strongly. 115 00:05:48,800 --> 00:05:51,040 Speaker 2: It's like the people running it don't give a shit 116 00:05:51,040 --> 00:05:53,799 Speaker 2: about tech. Mark suck Book doesn't give a shit about Facebook. 117 00:05:53,839 --> 00:05:58,000 Speaker 2: He's talking about how oh yeah, we need more masculine energy, 118 00:05:58,120 --> 00:06:02,400 Speaker 2: just mescalin, mask escaline. I'm sure masculine. 119 00:06:02,000 --> 00:06:03,240 Speaker 4: Pushing mescaline down there. 120 00:06:05,040 --> 00:06:07,400 Speaker 2: And it's just sad because it's this kind of repressed, 121 00:06:08,400 --> 00:06:11,799 Speaker 2: toxic masculinity where it's about dominance, even though his platform 122 00:06:11,880 --> 00:06:14,960 Speaker 2: only dominates by being a monopoly of sorts. It's just 123 00:06:15,120 --> 00:06:17,880 Speaker 2: very sad, and I realize we've been very male weighted 124 00:06:17,920 --> 00:06:20,480 Speaker 2: this week. It's like it's been positive masculine experience. We've 125 00:06:20,480 --> 00:06:23,080 Speaker 2: had good friendships here, but also just people have all 126 00:06:23,120 --> 00:06:24,760 Speaker 2: genders who have been here. I've had a great time 127 00:06:24,800 --> 00:06:26,840 Speaker 2: because it's been about hanging out and actually talking about 128 00:06:26,839 --> 00:06:29,480 Speaker 2: the stuff that intrigued or made you happy or made 129 00:06:29,520 --> 00:06:33,120 Speaker 2: you very angry of course, and I think that it's 130 00:06:33,200 --> 00:06:35,080 Speaker 2: cool that we got to encapsulate that. It feels like 131 00:06:35,560 --> 00:06:37,760 Speaker 2: collecting years of cs into one. 132 00:06:38,480 --> 00:06:38,680 Speaker 1: Yeah. 133 00:06:40,320 --> 00:06:43,440 Speaker 3: So traditionally, everyone who's come to get a drink, I've 134 00:06:43,480 --> 00:06:45,840 Speaker 3: always asked them, tell me the thing that scared you. 135 00:06:46,160 --> 00:06:48,880 Speaker 3: Tell me the thing that you thought was dangerous to 136 00:06:48,920 --> 00:06:51,280 Speaker 3: see if I needed to call the fire marshal or 137 00:06:52,240 --> 00:06:54,600 Speaker 3: more likely, in the case of this show, drop a 138 00:06:54,640 --> 00:06:57,920 Speaker 3: line to the FDA. But the thing that I had 139 00:06:58,040 --> 00:07:01,760 Speaker 3: never asked, and I'm glad you were asking everyone on 140 00:07:02,680 --> 00:07:07,120 Speaker 3: the podcast is what what made you excited? What made 141 00:07:07,160 --> 00:07:10,520 Speaker 3: you happy? Because that's something I never did, and I 142 00:07:10,680 --> 00:07:14,400 Speaker 3: realized that may have been not great energy I was 143 00:07:14,440 --> 00:07:16,239 Speaker 3: bringing to the bar in past years. 144 00:07:16,600 --> 00:07:20,080 Speaker 2: I think within the and as the real ED heads, No, 145 00:07:20,240 --> 00:07:22,680 Speaker 2: the real Zitron Law people, they'll know. But the previous 146 00:07:22,760 --> 00:07:25,679 Speaker 2: form of this was a p offen thing. Me. Look, Kevin, 147 00:07:25,760 --> 00:07:28,280 Speaker 2: what we'd come out here, would have journals over, wouldn't 148 00:07:28,280 --> 00:07:29,720 Speaker 2: do any pitch in, but we'd have them in and 149 00:07:29,840 --> 00:07:33,200 Speaker 2: have a good laugh with this. It felt like we 150 00:07:33,240 --> 00:07:37,480 Speaker 2: were actually building something cool and so Ed you had fun? 151 00:07:37,600 --> 00:07:38,240 Speaker 4: Right, mm hmm? 152 00:07:38,320 --> 00:07:40,720 Speaker 2: Yeah? Did you actually like finding? And it's okay if 153 00:07:40,720 --> 00:07:42,560 Speaker 2: the answer is no, Did you actually find anything that 154 00:07:42,840 --> 00:07:49,320 Speaker 2: gave you any hope? No, that's fun, I mean no, 155 00:07:49,400 --> 00:07:51,200 Speaker 2: But talk to me about that, because there's nothing wrong 156 00:07:51,240 --> 00:07:53,000 Speaker 2: with that. Answers just yeah, what was it? 157 00:07:53,240 --> 00:07:53,480 Speaker 3: I mean? 158 00:07:53,520 --> 00:07:58,840 Speaker 4: I think you know, I am not the market demographic 159 00:07:58,960 --> 00:08:00,680 Speaker 4: for a lot of these things. I have little to 160 00:08:00,800 --> 00:08:07,120 Speaker 4: no interest in filling my home with gizmos, gadgets or toys. 161 00:08:08,480 --> 00:08:11,760 Speaker 4: I'm not really Also, as a result of that, in 162 00:08:12,000 --> 00:08:17,080 Speaker 4: need of souping up the grid in my home, the 163 00:08:17,160 --> 00:08:20,760 Speaker 4: appliances right, adding smart layers to them. I'm not too 164 00:08:20,840 --> 00:08:25,840 Speaker 4: interested in healthcare management. I mean, most of the things 165 00:08:25,920 --> 00:08:28,720 Speaker 4: that I like and I'm interested in there are things 166 00:08:28,920 --> 00:08:31,600 Speaker 4: that like I can make myself hands on, don't really 167 00:08:31,720 --> 00:08:38,599 Speaker 4: require the intervention of smart or algorithmic enabled. 168 00:08:38,440 --> 00:08:43,520 Speaker 2: Wi Fi, various apps and such, you know, and so 169 00:08:43,880 --> 00:08:45,480 Speaker 2: on that front, I'm not too interested. 170 00:08:45,880 --> 00:08:47,319 Speaker 4: And then there's the other you know, there's a part 171 00:08:47,360 --> 00:08:49,439 Speaker 4: of me that though, is very interested in tech just 172 00:08:49,559 --> 00:08:52,520 Speaker 4: to see what is being developed and offered to other people, 173 00:08:52,800 --> 00:08:55,040 Speaker 4: especially people who are in need of things, people who 174 00:08:55,080 --> 00:08:59,480 Speaker 4: are disabled, people who are makers, people are inventors, right, 175 00:08:59,520 --> 00:09:01,920 Speaker 4: they are just interested in creating something and offering it 176 00:09:01,960 --> 00:09:02,480 Speaker 4: to other people. 177 00:09:02,920 --> 00:09:03,160 Speaker 2: Cool. 178 00:09:04,679 --> 00:09:06,679 Speaker 4: But you know, I think CS is also not the 179 00:09:06,720 --> 00:09:09,920 Speaker 4: place for me to find hope, and that because of 180 00:09:10,160 --> 00:09:15,719 Speaker 4: how much of the tech either it simply does not 181 00:09:16,200 --> 00:09:19,640 Speaker 4: exist or is in a prototype form that, as I 182 00:09:19,720 --> 00:09:24,080 Speaker 4: talk to more people, is synonymous with like perpetual delay 183 00:09:25,040 --> 00:09:27,720 Speaker 4: and times not even like a not even a release 184 00:09:27,840 --> 00:09:30,160 Speaker 4: or release in a pair of back form. So I 185 00:09:30,240 --> 00:09:33,640 Speaker 4: feel like it's more so I come here. I didn't 186 00:09:33,679 --> 00:09:38,000 Speaker 4: come here looking for magic. I am surprised by how 187 00:09:38,120 --> 00:09:41,680 Speaker 4: much offered just did not connect with. 188 00:09:41,800 --> 00:09:44,920 Speaker 2: Me, right because you weren't coming in here just as 189 00:09:44,920 --> 00:09:46,760 Speaker 2: a po height. When we talked about this rich and 190 00:09:46,840 --> 00:09:47,760 Speaker 2: that you were like, I don't know. 191 00:09:48,000 --> 00:09:50,599 Speaker 4: Yeah, I literally didn't like you know. I was like, 192 00:09:50,800 --> 00:09:53,360 Speaker 4: I was like, okay, is the ces. How much of 193 00:09:53,440 --> 00:09:56,280 Speaker 4: CS is, like here's an actual product I can pick 194 00:09:56,360 --> 00:09:58,000 Speaker 4: up try, and how much of it is like we 195 00:09:58,080 --> 00:10:00,800 Speaker 4: are selling so that another business can notice and buy 196 00:10:00,880 --> 00:10:04,920 Speaker 4: it from us, or an investor can back us. And 197 00:10:05,040 --> 00:10:08,440 Speaker 4: so learning that the division and the amount in which 198 00:10:08,520 --> 00:10:11,240 Speaker 4: any many of these tech products fell or the category 199 00:10:11,240 --> 00:10:13,760 Speaker 4: in which many of these tech products fell was interesting. 200 00:10:14,040 --> 00:10:16,240 Speaker 4: I mean the best part was for me just like 201 00:10:16,360 --> 00:10:19,199 Speaker 4: conversations with people as a chance to both reflect on 202 00:10:19,320 --> 00:10:21,760 Speaker 4: what we were being seen or what we were being 203 00:10:21,840 --> 00:10:24,640 Speaker 4: shown and what we saw on the floor and one 204 00:10:24,720 --> 00:10:26,719 Speaker 4: had been seen by other writers, and then also just 205 00:10:26,760 --> 00:10:30,040 Speaker 4: talking about the tech industry and media coverage in general. 206 00:10:30,120 --> 00:10:33,200 Speaker 4: I feel like that was the part that actually having 207 00:10:33,280 --> 00:10:37,839 Speaker 4: analogously gave hope in the sense that it's affirming to 208 00:10:37,920 --> 00:10:41,520 Speaker 4: hear other people, even if they are excited about things 209 00:10:41,559 --> 00:10:47,640 Speaker 4: that I'm not talk about the limitations of the shortcomings 210 00:10:47,760 --> 00:10:51,480 Speaker 4: of something that you know, when I was presented it 211 00:10:51,520 --> 00:10:53,599 Speaker 4: as an object, felt like something that was like a 212 00:10:53,640 --> 00:10:55,800 Speaker 4: staple in the industry that everyone loved and came to 213 00:10:56,480 --> 00:10:59,679 Speaker 4: and understood, had its own integral role that was not 214 00:11:00,160 --> 00:11:02,280 Speaker 4: to be two nice too much. 215 00:11:02,520 --> 00:11:05,240 Speaker 2: Yeah, you know, it's a weird show as well, I 216 00:11:05,280 --> 00:11:07,520 Speaker 2: imagine for the first time, because it's like when you 217 00:11:07,600 --> 00:11:10,320 Speaker 2: don't know this format, this place is kind of insane. 218 00:11:11,000 --> 00:11:13,439 Speaker 2: Just to map this out for the listeners. So we're 219 00:11:13,480 --> 00:11:15,280 Speaker 2: in the Venetians, so we have one of the best 220 00:11:15,360 --> 00:11:17,800 Speaker 2: places to be as far as the regular show goes 221 00:11:17,880 --> 00:11:20,640 Speaker 2: in that we have a hotel, the Venetian that has 222 00:11:20,720 --> 00:11:22,839 Speaker 2: the connected Sans ex Post Center, which is now called 223 00:11:22,840 --> 00:11:25,160 Speaker 2: the Venetian Expost Center. This is where a chunk of 224 00:11:25,240 --> 00:11:27,719 Speaker 2: it is. Then to get to the LVCC, you have 225 00:11:27,840 --> 00:11:29,640 Speaker 2: to either take an uber and then walk a mile. 226 00:11:29,720 --> 00:11:31,679 Speaker 2: When your uber guy goes, I'm not dry, I'm not 227 00:11:31,800 --> 00:11:34,760 Speaker 2: gonna wait, man, it's gonna be two hours. You then 228 00:11:34,960 --> 00:11:38,800 Speaker 2: walk probably a quarter of a mile to a door 229 00:11:38,960 --> 00:11:40,840 Speaker 2: and at that point you realize it's the wrong door, 230 00:11:41,640 --> 00:11:44,480 Speaker 2: so you have to then walk another probably point one 231 00:11:44,600 --> 00:11:46,640 Speaker 2: miles to the badge person who will then tell you 232 00:11:46,760 --> 00:11:49,360 Speaker 2: now you make it's the other badge person inside. Then 233 00:11:49,559 --> 00:11:51,079 Speaker 2: so at this point you spent like an hour and 234 00:11:51,120 --> 00:11:53,360 Speaker 2: a half getting there, and now you can get your 235 00:11:53,360 --> 00:11:55,800 Speaker 2: badge of other places. Perhaps you arrived with it. Well, 236 00:11:56,080 --> 00:11:59,160 Speaker 2: now you can walk through like a what's probably about 237 00:11:59,200 --> 00:12:02,160 Speaker 2: three miles of walking a day just minimum in the 238 00:12:02,240 --> 00:12:03,000 Speaker 2: main hole just. 239 00:12:03,040 --> 00:12:06,000 Speaker 3: To no, it's three miles walking just to get to it. 240 00:12:06,280 --> 00:12:09,120 Speaker 2: And then yeah, okay, but I mean like just spending 241 00:12:09,200 --> 00:12:12,959 Speaker 2: the day in there. And so after this you just 242 00:12:13,040 --> 00:12:16,240 Speaker 2: see like either the largest television or the biggest lie, 243 00:12:16,440 --> 00:12:20,000 Speaker 2: depending on the room you're in. And it's I imagine 244 00:12:20,040 --> 00:12:21,319 Speaker 2: it's kind of strange for me. 245 00:12:21,440 --> 00:12:22,000 Speaker 4: I think I'm just. 246 00:12:22,080 --> 00:12:23,360 Speaker 2: Kind of numb to it at this point. 247 00:12:23,440 --> 00:12:25,079 Speaker 3: Do you remember the advice that I gave you for 248 00:12:25,280 --> 00:12:27,560 Speaker 3: you asked you've been You've done this before. I feel 249 00:12:27,640 --> 00:12:31,000 Speaker 3: what should I go look for? And I haven't done 250 00:12:31,040 --> 00:12:34,520 Speaker 3: this in a while, But just one of those when 251 00:12:34,559 --> 00:12:36,959 Speaker 3: you see the hall of TVs unless you really want that, 252 00:12:38,120 --> 00:12:41,160 Speaker 3: know that you've this is nothing but that keep moving 253 00:12:41,200 --> 00:12:44,400 Speaker 3: through to look for something else. Because a giant TV 254 00:12:44,520 --> 00:12:48,600 Speaker 3: is a giant TV. And we've talked about a human 255 00:12:48,640 --> 00:12:51,880 Speaker 3: who exists only to wave behind the transparent one but 256 00:12:53,080 --> 00:12:57,000 Speaker 3: the odd take us back to erconomics. The thing that 257 00:12:57,120 --> 00:13:00,280 Speaker 3: Robert Evans said to me at the bar for the 258 00:13:00,400 --> 00:13:03,760 Speaker 3: best thing about the TV pavilion was not the TVs 259 00:13:04,280 --> 00:13:08,240 Speaker 3: with incredibly cushy floor so that he could actually rest. 260 00:13:08,120 --> 00:13:10,920 Speaker 2: His feet from a pile carpet is pretty sweet. But 261 00:13:11,040 --> 00:13:13,280 Speaker 2: just to give you an idea, if you have never 262 00:13:13,360 --> 00:13:14,520 Speaker 2: done this before, a good. 263 00:13:14,480 --> 00:13:16,440 Speaker 4: Chunk of it feels like being in a best Buy 264 00:13:16,559 --> 00:13:17,360 Speaker 4: on Black Friday. 265 00:13:17,679 --> 00:13:21,040 Speaker 2: Yes, that's actually it. But if no one's shopping, they're 266 00:13:21,080 --> 00:13:25,960 Speaker 2: just loitering. Yes, yeah, and it's so weird as well. 267 00:13:26,120 --> 00:13:28,079 Speaker 2: But I wouldn't have done it with anyone else. It's 268 00:13:28,120 --> 00:13:31,520 Speaker 2: just interesting to see cees bounce off of someone, not 269 00:13:31,640 --> 00:13:35,079 Speaker 2: because they're not trying, but because they've realized the edifice 270 00:13:35,120 --> 00:13:37,600 Speaker 2: of cees, which is, hey, check out all the stuff 271 00:13:37,679 --> 00:13:38,199 Speaker 2: we won't make. 272 00:13:38,280 --> 00:13:41,839 Speaker 4: I would have driven a test off the bridge if 273 00:13:41,920 --> 00:13:43,920 Speaker 4: I had to come here myself with. 274 00:13:45,280 --> 00:13:48,040 Speaker 2: With like an outlet, yeah, you know, like a real person. 275 00:13:48,080 --> 00:13:52,000 Speaker 4: Oh my god, Especially because the mode of engagement to 276 00:13:52,080 --> 00:13:54,880 Speaker 4: be much more different. I mean here had felt like 277 00:13:55,200 --> 00:14:00,559 Speaker 4: I got the chance to kind of drift around each day. 278 00:14:00,600 --> 00:14:02,360 Speaker 4: I felt like I was focusing on a different part 279 00:14:02,440 --> 00:14:06,360 Speaker 4: of the floor based on what I did or didn't 280 00:14:06,360 --> 00:14:08,080 Speaker 4: get to do, based on conversations I have with people, 281 00:14:08,160 --> 00:14:09,760 Speaker 4: They're like, oh, I actually was really interested in this, 282 00:14:12,280 --> 00:14:16,160 Speaker 4: and I think coming in with less preparation than an 283 00:14:16,200 --> 00:14:18,599 Speaker 4: outlet might have had for me in the sense that 284 00:14:18,800 --> 00:14:23,760 Speaker 4: like wasn't honed in and hunting for and prepping over 285 00:14:24,840 --> 00:14:27,120 Speaker 4: how to how to think about and how to engage 286 00:14:27,160 --> 00:14:29,400 Speaker 4: with like the fintech. It was more like I stumbled 287 00:14:29,440 --> 00:14:32,040 Speaker 4: upon them. Oh, what a pleasant surprise. Oh they're talking 288 00:14:32,080 --> 00:14:34,120 Speaker 4: about AI agents. Let's talk for a little bit. 289 00:14:34,200 --> 00:14:34,360 Speaker 2: You know. 290 00:14:36,240 --> 00:14:40,400 Speaker 4: It was it felt like I got to experience it 291 00:14:40,480 --> 00:14:45,240 Speaker 4: both as like maybe a consumer might and also a 292 00:14:45,360 --> 00:14:49,400 Speaker 4: bit as in my capacity as someone who's wondering, Okay, 293 00:14:49,400 --> 00:14:52,200 Speaker 4: if the presentation of this is for the consumer, then like, 294 00:14:52,280 --> 00:14:53,920 Speaker 4: if you're walking around in it and you happen to 295 00:14:53,960 --> 00:14:56,560 Speaker 4: know a bit about the industry or various products, what 296 00:14:56,640 --> 00:14:58,440 Speaker 4: would you think about it if you're also if your 297 00:14:58,520 --> 00:15:01,680 Speaker 4: if your intention is not just to like reported back 298 00:15:01,720 --> 00:15:05,359 Speaker 4: to consumers so that they can get like a repackaged 299 00:15:05,480 --> 00:15:06,960 Speaker 4: form of what's been presented here. 300 00:15:06,960 --> 00:15:08,480 Speaker 3: This is one of the things I was really excited 301 00:15:08,520 --> 00:15:15,280 Speaker 3: to hear yesterday from Cherylyn about the process that n 302 00:15:15,400 --> 00:15:18,280 Speaker 3: Gadget does for how they prepare to go to the show, 303 00:15:18,360 --> 00:15:22,800 Speaker 3: which right, it's fun with clean eyes to have none 304 00:15:22,880 --> 00:15:26,440 Speaker 3: of that just to encounter it face first, smack into 305 00:15:26,480 --> 00:15:31,280 Speaker 3: the wall. But that process from any gadget very cool. 306 00:15:31,360 --> 00:15:34,040 Speaker 3: Y I had no idea, and I'm happy I heard it, 307 00:15:34,240 --> 00:15:34,920 Speaker 3: and I'm happy that. 308 00:15:35,000 --> 00:15:37,280 Speaker 2: The listeners had it as well, because gone back to 309 00:15:37,320 --> 00:15:39,840 Speaker 2: the black pill thing, like, it's very easy to get 310 00:15:40,680 --> 00:15:44,760 Speaker 2: cynical about the tech media, and I have been extremely 311 00:15:44,880 --> 00:15:47,600 Speaker 2: critical of the tech media, but then you look at 312 00:15:47,960 --> 00:15:51,640 Speaker 2: the people we've brought in. We had Kyushanod from Las 313 00:15:51,680 --> 00:15:54,760 Speaker 2: Vegas some for example, such a delightful surprise, that guy, 314 00:15:54,840 --> 00:15:57,120 Speaker 2: young guy. But also getting into the labor stuff, the 315 00:15:57,200 --> 00:15:59,840 Speaker 2: fact you've got someone who writes about tech because they're 316 00:16:00,480 --> 00:16:02,480 Speaker 2: not because they're a tech report. But then you look 317 00:16:02,520 --> 00:16:04,240 Speaker 2: at and Gadget, a place that people myself, it was 318 00:16:04,280 --> 00:16:06,520 Speaker 2: just a gadget blog, and they actually really tried, and 319 00:16:06,640 --> 00:16:09,760 Speaker 2: it's interesting to see them. There's so much personality in 320 00:16:09,800 --> 00:16:12,080 Speaker 2: the tech media that just we had no I really 321 00:16:12,160 --> 00:16:13,800 Speaker 2: I knew some of these people, but I didn't know 322 00:16:13,880 --> 00:16:17,120 Speaker 2: how bad they cook. A lot of them, like all 323 00:16:17,160 --> 00:16:19,120 Speaker 2: of we didn't have one bum guest. 324 00:16:19,920 --> 00:16:22,880 Speaker 3: Also in terms of the eight years we've done this 325 00:16:23,760 --> 00:16:26,960 Speaker 3: from my point of view, in terms of providing respite 326 00:16:27,320 --> 00:16:32,360 Speaker 3: two journalists journalists, and indeed it's sketching, had journalists getting 327 00:16:32,440 --> 00:16:35,120 Speaker 3: respite in the suite for a chance to breathe. 328 00:16:35,480 --> 00:16:36,000 Speaker 2: Yeah, that's it. 329 00:16:37,200 --> 00:16:41,080 Speaker 3: For the first time in all these years, I had 330 00:16:41,720 --> 00:16:43,880 Speaker 3: had people one saying I'm so happy to be back. 331 00:16:44,360 --> 00:16:46,160 Speaker 3: I'm so happy to get another drink for you. The 332 00:16:46,280 --> 00:16:53,720 Speaker 3: five years of COVID, I've missed you. And also Gere just. 333 00:16:55,200 --> 00:16:58,400 Speaker 2: Relaxed and get I just want to say I can get. 334 00:16:58,480 --> 00:17:01,600 Speaker 2: Evis is just insanely talented. I am so happy we 335 00:17:01,680 --> 00:17:02,880 Speaker 2: got them on so many episodes. 336 00:17:03,560 --> 00:17:07,200 Speaker 3: I saw geras fairly high energy you might have noticed 337 00:17:07,240 --> 00:17:12,680 Speaker 3: from some podcast, But I watched Garrett just sort of 338 00:17:13,000 --> 00:17:16,320 Speaker 3: take a breath and slump into a chair for a moment. 339 00:17:16,800 --> 00:17:20,240 Speaker 2: They could be off and I think that's nice, and 340 00:17:20,359 --> 00:17:23,880 Speaker 2: I think of better Offline is such a bizarre podcast. 341 00:17:24,000 --> 00:17:27,800 Speaker 2: Looking at Mattasowski's like, yeah it is. My producer heard 342 00:17:27,840 --> 00:17:31,760 Speaker 2: one from Mattasowski. It's funny. This show started off as 343 00:17:31,880 --> 00:17:34,200 Speaker 2: a joke and then it became something. You know, It 344 00:17:34,280 --> 00:17:38,159 Speaker 2: started off as a thing where I was talking about 345 00:17:38,400 --> 00:17:40,520 Speaker 2: how pissed off I was about wet brothers like the 346 00:17:40,560 --> 00:17:43,719 Speaker 2: winkle Uses or the rot economy and everything. But as 347 00:17:43,760 --> 00:17:47,440 Speaker 2: we get to see, well, well, well if it isn't 348 00:17:47,440 --> 00:17:51,439 Speaker 2: the winkle Us brothers, but it's it's interesting how it's 349 00:17:51,440 --> 00:17:53,600 Speaker 2: growing because I've been thinking about CEOs quite literally for 350 00:17:53,680 --> 00:17:56,720 Speaker 2: a year. So Robert Gare and I were sitting around 351 00:17:56,920 --> 00:17:58,680 Speaker 2: at Spego where we were actually going tonight taking my 352 00:17:58,800 --> 00:18:01,720 Speaker 2: boys out. Got to treat them. That's the one thing, like, 353 00:18:01,800 --> 00:18:04,000 Speaker 2: I'm lucky enough to have this podcast. I've been treating them, 354 00:18:04,240 --> 00:18:07,200 Speaker 2: treating everyone. It's lovely. But in all seriousness, I was 355 00:18:07,280 --> 00:18:10,000 Speaker 2: sitting there with ROBERM and Get and just kind of 356 00:18:10,119 --> 00:18:13,600 Speaker 2: like slightly worried both about the podcast. But I got 357 00:18:13,640 --> 00:18:15,480 Speaker 2: that done. We don't need to belabor that. I really 358 00:18:15,480 --> 00:18:19,439 Speaker 2: should stop repeating that. In fact, anyway, I sat there 359 00:18:19,480 --> 00:18:21,320 Speaker 2: and like, shit, how am I gonna do? Cees? And 360 00:18:21,400 --> 00:18:23,080 Speaker 2: I spent the year in phil and I have talked 361 00:18:23,119 --> 00:18:25,520 Speaker 2: about this many many many times, and the thing that 362 00:18:25,560 --> 00:18:27,119 Speaker 2: I think that we needed to do, which I think 363 00:18:27,160 --> 00:18:30,280 Speaker 2: we mostly did, was not just be like, hey, here's 364 00:18:30,280 --> 00:18:32,239 Speaker 2: all the shit that you see at the show. Your 365 00:18:32,320 --> 00:18:36,760 Speaker 2: hogs but it also try and capture, even though people 366 00:18:36,960 --> 00:18:39,359 Speaker 2: kind of hate it, try and capture the fact that 367 00:18:39,440 --> 00:18:41,840 Speaker 2: there is a week long thing in the tech media 368 00:18:42,119 --> 00:18:45,720 Speaker 2: where everyone comes to one place kind of parties together. 369 00:18:46,760 --> 00:18:51,080 Speaker 2: Then does journalism ostensibly, but like there's this whole thing 370 00:18:51,119 --> 00:18:55,000 Speaker 2: that's been virtually uncovered. It's just this is like Aspen 371 00:18:55,160 --> 00:18:58,200 Speaker 2: for tech media, except you. Really, I don't think as 372 00:18:58,200 --> 00:19:00,560 Speaker 2: many dark thoughts when I think of it, and it's 373 00:19:01,160 --> 00:19:03,440 Speaker 2: and I think we successfully got that. And listeners, I 374 00:19:03,480 --> 00:19:05,600 Speaker 2: would love to hear you feedback. You've been quite generous 375 00:19:05,640 --> 00:19:08,000 Speaker 2: with it so far. Nineteen nine percent of it loved it, 376 00:19:08,119 --> 00:19:11,680 Speaker 2: one percent Calm down. But it's in I think we 377 00:19:11,760 --> 00:19:15,520 Speaker 2: have successfully captured phil what we have always captured here, 378 00:19:15,560 --> 00:19:17,879 Speaker 2: which is, hey, here's just one fucking place you can 379 00:19:17,960 --> 00:19:20,600 Speaker 2: sit down and like try and like process the things 380 00:19:20,680 --> 00:19:22,360 Speaker 2: you have been hit with over the last week. 381 00:19:22,920 --> 00:19:27,560 Speaker 3: Oh yeah, Also, I just remembered it as I took 382 00:19:27,600 --> 00:19:31,400 Speaker 3: a sip of black Ludden Energy courses through me Again. 383 00:19:32,240 --> 00:19:35,080 Speaker 3: I want to take a moment to give special thanks 384 00:19:35,119 --> 00:19:38,960 Speaker 3: to someone who almost never gets thanked, that has made 385 00:19:39,000 --> 00:19:40,879 Speaker 3: sure that this suitet worked. 386 00:19:41,240 --> 00:19:43,119 Speaker 2: Mothers give it up. 387 00:19:43,240 --> 00:19:49,879 Speaker 3: Thanks mom, But also twenty eighth floor housekeeping staff at 388 00:19:49,880 --> 00:19:55,560 Speaker 3: the Venetia and Venetian. Big up, particularly Alice. Alice, you 389 00:19:55,720 --> 00:19:57,960 Speaker 3: have made sure that I've been able to keep the 390 00:19:58,040 --> 00:20:00,320 Speaker 3: filthy pig style that I keep making of the place 391 00:20:00,440 --> 00:20:03,639 Speaker 3: and people walking through look nice. I could not have 392 00:20:03,760 --> 00:20:04,879 Speaker 3: done this without you, Alice. 393 00:20:04,960 --> 00:20:05,240 Speaker 2: Thank you. 394 00:20:05,320 --> 00:20:07,000 Speaker 4: Alice is that who wrote the note? 395 00:20:07,480 --> 00:20:09,400 Speaker 2: No, that was okay. There was a note in here 396 00:20:09,480 --> 00:20:12,520 Speaker 2: that said their old dead head run and that would 397 00:20:12,560 --> 00:20:18,000 Speaker 2: be Robert Evans the the like like the tricks to 398 00:20:18,119 --> 00:20:22,240 Speaker 2: God that I work for, mister Mixey is the world? Yeah, 399 00:20:22,680 --> 00:20:26,240 Speaker 2: actually yes, Robert has missed the world exactly like a 400 00:20:26,359 --> 00:20:28,639 Speaker 2: Crisp and Glover figure that shows up to be like 401 00:20:29,560 --> 00:20:30,359 Speaker 2: podcast time. 402 00:20:30,720 --> 00:20:30,840 Speaker 1: Now. 403 00:20:30,960 --> 00:20:34,080 Speaker 3: Alice is the one who gave me the extra ice bucket. 404 00:20:34,440 --> 00:20:36,920 Speaker 3: Alice gave the welcome note to this room. 405 00:20:36,960 --> 00:20:41,760 Speaker 4: Okay, because it said because I noticed it, it said Alice. 406 00:20:42,480 --> 00:20:44,600 Speaker 3: That's because I wrote her name down, okay, to make 407 00:20:44,680 --> 00:20:46,160 Speaker 3: sure I did not forget right. 408 00:20:46,760 --> 00:20:49,159 Speaker 2: Please don't kill me, Alice. But in all seriousness, now 409 00:20:49,200 --> 00:20:51,880 Speaker 2: the Venetian's been lovely. It's been so weird as well, 410 00:20:52,080 --> 00:20:55,120 Speaker 2: just like standing up this thing. I don't know if 411 00:20:55,160 --> 00:20:57,240 Speaker 2: everyone listening to this is like, look at my Instagram 412 00:20:57,640 --> 00:21:00,719 Speaker 2: or my Blue Sky. I hope you have I need attention, 413 00:21:00,960 --> 00:21:03,440 Speaker 2: but also I want you to know how great this 414 00:21:03,520 --> 00:21:05,399 Speaker 2: setup has been. We've had this recessed area in the 415 00:21:05,480 --> 00:21:10,880 Speaker 2: Venetian and honestly, it's just been extremely heartening for two reasons. 416 00:21:10,920 --> 00:21:14,960 Speaker 2: One having some solidarity in this fucking tech media. It 417 00:21:15,080 --> 00:21:17,680 Speaker 2: has been such a rough year for so many people. 418 00:21:17,760 --> 00:21:20,360 Speaker 2: Twenty twenty four was an insane year. But also right 419 00:21:20,440 --> 00:21:23,280 Speaker 2: now the tech media feels and I say this having 420 00:21:23,320 --> 00:21:26,320 Speaker 2: done a thing where I yelled at them, but Lord almighty, 421 00:21:26,600 --> 00:21:29,240 Speaker 2: I've never seen less solidarity, but I kind of saw 422 00:21:29,320 --> 00:21:31,840 Speaker 2: it this week. Everyone seemed happy to see each other 423 00:21:31,920 --> 00:21:34,200 Speaker 2: when they got on the mic together. They were generous 424 00:21:34,280 --> 00:21:36,480 Speaker 2: with their time. They were excited to vibe off of 425 00:21:36,520 --> 00:21:41,879 Speaker 2: each other. There was no like vacuous competitiveness or anything 426 00:21:41,960 --> 00:21:44,639 Speaker 2: like that. Everyone was so giving with their time, not 427 00:21:44,840 --> 00:21:46,359 Speaker 2: just with me, but with each other. They were shooting 428 00:21:46,359 --> 00:21:47,639 Speaker 2: the shit. They were happy to see each other. It 429 00:21:47,760 --> 00:21:49,640 Speaker 2: was great, And I think that this is a time 430 00:21:49,720 --> 00:21:52,160 Speaker 2: where as things get a bit rough with big tech 431 00:21:52,240 --> 00:21:54,639 Speaker 2: and within society, this is the time to pull together. 432 00:21:54,960 --> 00:21:57,360 Speaker 2: And I'm happy that whatever this week has been, which 433 00:21:57,480 --> 00:22:01,280 Speaker 2: is insane, by the way, just the entire idea. I 434 00:22:01,400 --> 00:22:03,639 Speaker 2: hope that that has created that, and I hope that 435 00:22:03,760 --> 00:22:06,320 Speaker 2: you the listener have heard that. And I was about 436 00:22:06,320 --> 00:22:08,920 Speaker 2: to say, you appreciate that, I don't believe. I mean, 437 00:22:09,359 --> 00:22:10,600 Speaker 2: I hope you've got that vibe. 438 00:22:21,520 --> 00:22:23,959 Speaker 3: So you you talked about the vibe people together here, 439 00:22:24,160 --> 00:22:28,360 Speaker 3: talking and happy. So effectively, I'm with the bar, I'm 440 00:22:28,400 --> 00:22:31,080 Speaker 3: running the green room for what you're getting to hear 441 00:22:31,119 --> 00:22:34,520 Speaker 3: over here. When people leave here and the next crew 442 00:22:34,720 --> 00:22:37,639 Speaker 3: rotates in for your listening pleasure, the old crew does 443 00:22:37,680 --> 00:22:40,720 Speaker 3: not immediately bolt for the door. They actually sat down 444 00:22:40,800 --> 00:22:42,840 Speaker 3: with each other and they enjoyed each other's time. 445 00:22:42,960 --> 00:22:45,840 Speaker 2: I did notice that, And it's cool when we like 446 00:22:45,960 --> 00:22:47,800 Speaker 2: cycle out people like ed like you go back to 447 00:22:47,840 --> 00:22:50,440 Speaker 2: have a chat with them, and I realized, like, you've 448 00:22:50,520 --> 00:22:53,840 Speaker 2: been like somewhat unimpressed with the actual stuff, but you 449 00:22:53,880 --> 00:22:55,520 Speaker 2: seem to have had a good time with everyone. 450 00:22:55,600 --> 00:22:57,120 Speaker 4: Oh yeah, I had a great time with everyone. Yeah, 451 00:22:57,119 --> 00:22:58,200 Speaker 4: I had a great time with the people. 452 00:22:58,720 --> 00:23:01,640 Speaker 2: Yeah. And I think that it's it's about the people, 453 00:23:01,680 --> 00:23:03,960 Speaker 2: but it kind of is like I'm here to see 454 00:23:04,000 --> 00:23:06,280 Speaker 2: the dude AD's gizmos and the apps. No, it's to 455 00:23:06,520 --> 00:23:08,480 Speaker 2: pull together the tech media to have a conversation with 456 00:23:08,560 --> 00:23:11,040 Speaker 2: people and try and actually talk about what happens here, 457 00:23:11,080 --> 00:23:14,080 Speaker 2: because as of what was kind of getting earlier, this 458 00:23:14,320 --> 00:23:16,960 Speaker 2: place like Vegas is a fascinating place in and of itself, 459 00:23:17,080 --> 00:23:19,159 Speaker 2: so we see us even if the stuff is kind 460 00:23:19,200 --> 00:23:22,000 Speaker 2: of the same as last year, even capturing that mood 461 00:23:22,080 --> 00:23:24,360 Speaker 2: is kind of important and bringing you fresh was I'm 462 00:23:24,400 --> 00:23:25,000 Speaker 2: really happy. 463 00:23:25,200 --> 00:23:27,199 Speaker 4: Yeah, No, I'm really happy you brought me in. I mean, 464 00:23:27,280 --> 00:23:34,960 Speaker 4: this was definitely an imprint experience. It's definitely left its 465 00:23:35,000 --> 00:23:35,520 Speaker 4: mark on me. 466 00:23:36,000 --> 00:23:40,920 Speaker 3: Would you have even dreamed, coming into the getting on 467 00:23:40,960 --> 00:23:43,760 Speaker 3: a plane coming to Las Vegas that you were about 468 00:23:43,920 --> 00:23:47,479 Speaker 3: to meet the cryt readers for two of your favorite authors. 469 00:23:47,640 --> 00:23:50,640 Speaker 4: No, a lot of crazy. 470 00:23:51,400 --> 00:23:51,840 Speaker 2: Yeah, that was. 471 00:23:52,119 --> 00:23:55,160 Speaker 4: That was such a wild turn of events for listener 472 00:23:55,200 --> 00:23:59,000 Speaker 4: who don't know they are. Father Gabriel and Phil are 473 00:23:59,240 --> 00:24:04,600 Speaker 4: krit readers for Christopher Rock Casino and Charles Strauss, who 474 00:24:04,640 --> 00:24:08,760 Speaker 4: are two of my you know, favorite writers right now. 475 00:24:08,880 --> 00:24:13,480 Speaker 4: Charstrusta sci fi Christopher Rock Casino does is doing like 476 00:24:13,560 --> 00:24:20,240 Speaker 4: a science fantasy series Sun Eater, which you should definitely 477 00:24:20,320 --> 00:24:23,920 Speaker 4: check out if you are interested in romans in space. Yea, 478 00:24:24,640 --> 00:24:29,119 Speaker 4: but yeah, space romans that are in the deconstruction of 479 00:24:29,240 --> 00:24:33,160 Speaker 4: Dune and Star Wars, and also without like the turgent 480 00:24:33,280 --> 00:24:36,520 Speaker 4: pros of Foundation and the Foundation series. 481 00:24:36,920 --> 00:24:39,159 Speaker 3: These are the happy surprises that happened when you just 482 00:24:39,359 --> 00:24:40,760 Speaker 3: sit down start talking. 483 00:24:40,840 --> 00:24:44,320 Speaker 2: There was a great moment where Robert Evans and Father 484 00:24:44,440 --> 00:24:47,600 Speaker 2: Gabriel and Edim graz So Junior was sitting around for 485 00:24:47,720 --> 00:24:50,320 Speaker 2: like twenty straight minutes and they were having the They 486 00:24:50,359 --> 00:24:52,359 Speaker 2: were like, yoh, but hegel and they were like, no, 487 00:24:52,720 --> 00:24:55,000 Speaker 2: naming all these philosophers. And I was just sitting there 488 00:24:55,960 --> 00:24:59,040 Speaker 2: and I think I understand what Babo my cat feels 489 00:24:59,119 --> 00:25:01,840 Speaker 2: like when I can talk to it, because I was 490 00:25:01,960 --> 00:25:05,720 Speaker 2: just looking at it, just like wow, I know these names, 491 00:25:06,200 --> 00:25:08,679 Speaker 2: but they're connecting them in ways that clearly involve knowledge. 492 00:25:08,680 --> 00:25:11,080 Speaker 2: And then after twenty minutes, I just said, fuck, is 493 00:25:11,119 --> 00:25:14,719 Speaker 2: this what is like? What's it like being smart? Anyway, 494 00:25:14,760 --> 00:25:18,120 Speaker 2: that's the experience I bring to the sweep. But honestly, 495 00:25:18,560 --> 00:25:21,040 Speaker 2: it's been kind of fun watching everyone just talk. I 496 00:25:21,119 --> 00:25:23,560 Speaker 2: want this to be and I want you the listener, 497 00:25:23,680 --> 00:25:25,359 Speaker 2: to be pulled into this and to kind of feel 498 00:25:25,400 --> 00:25:28,560 Speaker 2: this because putting aside the very obvious and well documented 499 00:25:28,680 --> 00:25:30,879 Speaker 2: side of CS of that it's full of shit that 500 00:25:31,000 --> 00:25:33,200 Speaker 2: never goes anywhere, and everyone's kind of annoyed. The taking 501 00:25:33,280 --> 00:25:38,119 Speaker 2: full of people. It's also full of people sorry for 502 00:25:38,280 --> 00:25:42,560 Speaker 2: you were there. No no, no, I'm yeah. Ed is 503 00:25:42,600 --> 00:25:44,679 Speaker 2: a well drank and well fed as we all are. 504 00:25:45,000 --> 00:25:47,440 Speaker 2: But also we have had five straight days of just 505 00:25:47,560 --> 00:25:49,680 Speaker 2: like our brains being punished. 506 00:25:49,880 --> 00:25:52,880 Speaker 3: No really, I think this might be a massage recovery 507 00:25:53,000 --> 00:25:56,320 Speaker 3: as all the tensions holding me together, they removed it. 508 00:25:56,960 --> 00:25:59,000 Speaker 3: And I'm feeling real. 509 00:25:58,920 --> 00:26:03,359 Speaker 4: Good being my stomach for five hours and I was 510 00:26:03,440 --> 00:26:04,600 Speaker 4: rubbing into thought you. 511 00:26:04,640 --> 00:26:06,080 Speaker 2: Were just accumulating wealth. 512 00:26:06,320 --> 00:26:09,199 Speaker 4: I ran to this like the Buddha booth. I mean 513 00:26:09,280 --> 00:26:11,240 Speaker 4: I ran to the sweet last night because I was 514 00:26:11,280 --> 00:26:12,160 Speaker 4: gonna because. 515 00:26:12,320 --> 00:26:17,000 Speaker 3: No, there was a crisis. It had to be addressed. 516 00:26:17,200 --> 00:26:22,240 Speaker 2: Moving on, we're talking about how nice the solidary where no, no, no, no, no, 517 00:26:22,680 --> 00:26:23,840 Speaker 2: there was solidarity there. 518 00:26:24,040 --> 00:26:28,040 Speaker 4: No, I will not. 519 00:26:28,480 --> 00:26:30,399 Speaker 2: I was just about to do a whole thing about 520 00:26:30,480 --> 00:26:32,520 Speaker 2: how like We've had a bunch of guys in the suite, 521 00:26:32,840 --> 00:26:34,680 Speaker 2: and I think for the most part we've done good 522 00:26:34,800 --> 00:26:39,400 Speaker 2: positive masculinity without talking too much about our bowel movements. 523 00:26:39,760 --> 00:26:43,159 Speaker 2: I've got in his way talk beginning and then the 524 00:26:43,240 --> 00:26:46,200 Speaker 2: beginning with the vulnerable. I'm glad that we've got rotors 525 00:26:46,520 --> 00:26:49,320 Speaker 2: quotation on the Horny check like, but also I'm tired 526 00:26:49,359 --> 00:26:52,040 Speaker 2: of people on the Reddit asking to well for one, 527 00:26:52,760 --> 00:26:54,480 Speaker 2: but I think for the most part, we've I hope 528 00:26:54,480 --> 00:26:56,080 Speaker 2: we've shown like a bunch of guys hanging out have 529 00:26:56,160 --> 00:26:59,000 Speaker 2: don't don't have to be like nasty assholes. Just we've 530 00:26:59,080 --> 00:27:00,600 Speaker 2: not been tearing each other down. And I want this 531 00:27:00,960 --> 00:27:04,320 Speaker 2: because this industry is very male dominated, and something we 532 00:27:04,400 --> 00:27:06,880 Speaker 2: do want to do better next year is I want 533 00:27:07,119 --> 00:27:10,680 Speaker 2: more woman in this more diverse voice is like this thing. 534 00:27:11,040 --> 00:27:12,520 Speaker 2: And I know some of you have brought this up, 535 00:27:12,560 --> 00:27:15,120 Speaker 2: and it's a fair criticism we had. We really only 536 00:27:15,200 --> 00:27:18,480 Speaker 2: had like three woman on there, and it's not enough. 537 00:27:18,560 --> 00:27:20,360 Speaker 2: And so we're going to do a much better job 538 00:27:20,440 --> 00:27:22,280 Speaker 2: next year. And we've already like making plans for this 539 00:27:22,359 --> 00:27:25,720 Speaker 2: twenty twenty six. We are going to improve this show 540 00:27:26,040 --> 00:27:29,200 Speaker 2: on that level. But also I think we are going 541 00:27:29,320 --> 00:27:31,200 Speaker 2: to try and in as much as we can sync 542 00:27:31,320 --> 00:27:34,200 Speaker 2: up on coverage with these outlets and actually bring them in. 543 00:27:34,600 --> 00:27:36,760 Speaker 2: Because the big thing is is like better Offline's pretty big. 544 00:27:36,760 --> 00:27:38,800 Speaker 2: Now I can't even say how big because I am 545 00:27:38,920 --> 00:27:41,600 Speaker 2: told not to, but it's big. We have a real 546 00:27:41,680 --> 00:27:43,159 Speaker 2: audience now. And the thing I think we can do 547 00:27:43,240 --> 00:27:44,879 Speaker 2: with this show is, first of all, show you, the 548 00:27:44,960 --> 00:27:47,920 Speaker 2: wonderful listener, what's going on in the tech industry. And 549 00:27:48,000 --> 00:27:50,000 Speaker 2: what's going on in the tech industry is not just 550 00:27:50,560 --> 00:27:52,200 Speaker 2: the thing you see on the page. Even people have 551 00:27:52,320 --> 00:27:55,640 Speaker 2: criticized those people behind the byline are held by these 552 00:27:55,720 --> 00:27:59,400 Speaker 2: restraints of editorial bullshit. But on top of that, there's 553 00:27:59,400 --> 00:28:01,479 Speaker 2: only so much do If you're like writing about laptop, 554 00:28:01,520 --> 00:28:03,800 Speaker 2: how much we know about that person. So I want 555 00:28:03,840 --> 00:28:07,400 Speaker 2: this show to be that now. And when it comes 556 00:28:07,440 --> 00:28:09,720 Speaker 2: to things like CES, I don't know where else they go. 557 00:28:09,800 --> 00:28:10,320 Speaker 2: I'm not going to. 558 00:28:10,359 --> 00:28:13,800 Speaker 4: South By, No, yeah you will. You gotta do it. 559 00:28:13,880 --> 00:28:15,480 Speaker 4: You gotta see how Crypto's taking it over. 560 00:28:15,600 --> 00:28:18,320 Speaker 2: Don't want to That sounds awful, It is awful. My 561 00:28:18,400 --> 00:28:20,480 Speaker 2: friends aren't there. It's the people. 562 00:28:20,280 --> 00:28:21,320 Speaker 4: Wholly white will go. 563 00:28:21,600 --> 00:28:23,879 Speaker 2: Maybe Molly White's great, but I would rather just like 564 00:28:24,040 --> 00:28:28,400 Speaker 2: fly to Boston or whatever. Yeah, but nevertheless, this show 565 00:28:28,680 --> 00:28:31,640 Speaker 2: is important to the tech industry. Yeah, and yet it's 566 00:28:31,760 --> 00:28:35,920 Speaker 2: completely uncovered what actually happens here. There's a lot of 567 00:28:36,000 --> 00:28:39,680 Speaker 2: stuff about this robot does this, and this vacuum has 568 00:28:39,720 --> 00:28:43,200 Speaker 2: an arm now, but not the actual vibe, not the 569 00:28:43,240 --> 00:28:46,640 Speaker 2: actual feel, and it's interesting to finally capture that and 570 00:28:47,120 --> 00:28:48,280 Speaker 2: put it in a bottle. Yeah. 571 00:28:48,320 --> 00:28:50,280 Speaker 4: No, that's interesting because when I was trying to look 572 00:28:50,320 --> 00:28:52,160 Speaker 4: over covered to get a sense of what to expect, 573 00:28:52,240 --> 00:28:56,520 Speaker 4: it really was just people talking about past products and 574 00:28:56,680 --> 00:29:03,520 Speaker 4: not like actual morale, energy, enthusiasm, lack thereof impact too. 575 00:29:03,960 --> 00:29:06,200 Speaker 3: Larger society and programs. 576 00:29:05,960 --> 00:29:08,920 Speaker 2: As well, But even then, the tech industry and the 577 00:29:09,000 --> 00:29:12,080 Speaker 2: tech media, it's full of these weird, wonderful people we've 578 00:29:12,120 --> 00:29:15,200 Speaker 2: had all week. And I feel like, and if you 579 00:29:15,360 --> 00:29:17,680 Speaker 2: the listener disagree with this, please let me know, but 580 00:29:17,720 --> 00:29:19,800 Speaker 2: it feels like people have responded really well to just 581 00:29:20,520 --> 00:29:24,240 Speaker 2: hearing the people behind these bylines and actually talking about this, 582 00:29:24,520 --> 00:29:24,760 Speaker 2: and that. 583 00:29:25,000 --> 00:29:29,800 Speaker 3: Those people got a chance to expand on what they 584 00:29:29,920 --> 00:29:32,640 Speaker 3: saw and what they felt in a way maybe they 585 00:29:32,640 --> 00:29:35,760 Speaker 3: even constrained from doing for a while, and not. 586 00:29:35,800 --> 00:29:38,560 Speaker 2: Even for malevolent reasons. It's just that, Yeah, if you 587 00:29:38,640 --> 00:29:41,320 Speaker 2: are writing a gadget blog and you write about gadgets, 588 00:29:41,360 --> 00:29:44,440 Speaker 2: there's not really much space for editorializing someone. We didn't 589 00:29:44,440 --> 00:29:47,160 Speaker 2: get on with. Michael Fisher, one of my favorite YouTubers, 590 00:29:47,480 --> 00:29:50,040 Speaker 2: and he has done a really good job of expanding 591 00:29:50,280 --> 00:29:53,520 Speaker 2: his YouTube I sound one hundred years long. He's got 592 00:29:53,600 --> 00:29:56,840 Speaker 2: one of those YouTube channels with the videos now Utebliss. 593 00:29:57,000 --> 00:30:00,520 Speaker 2: One of the light boxes captures his form. But he 594 00:30:00,720 --> 00:30:03,440 Speaker 2: was here. Sadly missed him going to see him for dinner. 595 00:30:03,480 --> 00:30:06,320 Speaker 2: I think next week. Nevertheless, he has done a really 596 00:30:06,360 --> 00:30:09,200 Speaker 2: good thing of explaining kind of the effema around his travel, 597 00:30:09,320 --> 00:30:11,480 Speaker 2: how like travel weighs upon him, how there are emotional 598 00:30:11,600 --> 00:30:15,120 Speaker 2: contexts to places he goes, the societal parts. He did 599 00:30:15,160 --> 00:30:16,800 Speaker 2: a great thing where he was in India talking about 600 00:30:16,800 --> 00:30:20,080 Speaker 2: the smog, for example. You can do more with this medium, 601 00:30:21,000 --> 00:30:23,640 Speaker 2: and I think that there's so much more interesting things 602 00:30:23,680 --> 00:30:26,280 Speaker 2: that we could do even with this show, because let's 603 00:30:26,320 --> 00:30:28,760 Speaker 2: be honest, you've got I don't actually know how many 604 00:30:28,840 --> 00:30:31,720 Speaker 2: actual reporters are here because the list includes every single 605 00:30:31,800 --> 00:30:34,960 Speaker 2: possible person who could ever mention words. But I would 606 00:30:34,960 --> 00:30:37,000 Speaker 2: say there's at least one hundred members of the tech 607 00:30:37,080 --> 00:30:39,520 Speaker 2: media here, like died in the Wall, actual tech media. 608 00:30:40,200 --> 00:30:42,680 Speaker 2: And the fact is there isn't a damn place where 609 00:30:42,720 --> 00:30:45,640 Speaker 2: other than like Twitter and Blue Sky, whether actually you're 610 00:30:45,640 --> 00:30:47,400 Speaker 2: actually able to get to know these people. I want 611 00:30:47,440 --> 00:30:49,080 Speaker 2: better offline to be that on some level it's not 612 00:30:49,280 --> 00:30:50,960 Speaker 2: just going to be that it's not just the kind 613 00:30:51,040 --> 00:30:53,200 Speaker 2: of mix of stuff, but I think it's a helpful 614 00:30:53,200 --> 00:30:55,120 Speaker 2: function of what the show could be in the future. 615 00:30:56,440 --> 00:30:58,960 Speaker 3: So something I've while I don't go to the floor 616 00:30:59,000 --> 00:31:04,240 Speaker 3: because I'm attending something that I do get to do 617 00:31:04,520 --> 00:31:13,080 Speaker 3: at Defcon and at Photonics West is watching for governmental 618 00:31:13,360 --> 00:31:16,040 Speaker 3: entities that are actually attending the show as well. And 619 00:31:16,160 --> 00:31:19,320 Speaker 3: it's a tradition at Defcon to play the game spot 620 00:31:19,360 --> 00:31:23,120 Speaker 3: the Nark, which is if you can find the member 621 00:31:23,200 --> 00:31:25,920 Speaker 3: of a given government agency and they've started playing with 622 00:31:26,040 --> 00:31:28,480 Speaker 3: it and actually having official booths and saying, can you 623 00:31:28,560 --> 00:31:30,040 Speaker 3: guess which agency. 624 00:31:29,680 --> 00:31:30,160 Speaker 2: I work for? 625 00:31:30,720 --> 00:31:32,960 Speaker 3: If you do, they'll give you a challenge coin or 626 00:31:33,000 --> 00:31:36,080 Speaker 3: a pin. But conversely, the deaf Con people will give 627 00:31:36,160 --> 00:31:40,160 Speaker 3: them a shirt for the narc Right to wear. But 628 00:31:40,760 --> 00:31:44,600 Speaker 3: our governmental agencies, our regulators are actually just like me, 629 00:31:45,360 --> 00:31:48,640 Speaker 3: interested in what's coming that I should be prepared for. 630 00:31:50,560 --> 00:31:56,520 Speaker 3: I like finding them and seeing what are you looking for? 631 00:31:58,400 --> 00:32:03,800 Speaker 3: If I could find on one willing to represent the agency. 632 00:32:03,480 --> 00:32:06,280 Speaker 2: That we talk to the FEDS inside here, though we 633 00:32:06,680 --> 00:32:09,720 Speaker 2: don't let them in here. I mean I will not 634 00:32:09,920 --> 00:32:13,400 Speaker 2: allow we're not having the government agencies in here. I 635 00:32:13,480 --> 00:32:15,560 Speaker 2: will not You can talk to them outside. But if 636 00:32:15,600 --> 00:32:17,640 Speaker 2: you if you remember, if the Feds, please don't come 637 00:32:17,680 --> 00:32:21,920 Speaker 2: to my show. I don't think that's going to be fun. Now, 638 00:32:22,000 --> 00:32:23,480 Speaker 2: if they turn up, I'm gonna have a word with 639 00:32:23,560 --> 00:32:25,880 Speaker 2: them and then say please don't, please, don't keep me well. 640 00:32:25,920 --> 00:32:28,440 Speaker 3: Actually, the hard part is the ones that are actually 641 00:32:28,640 --> 00:32:31,520 Speaker 3: doing the things that are of interest. They can't talk. 642 00:32:32,160 --> 00:32:34,200 Speaker 3: They're constrained by a public affairs office. 643 00:32:34,240 --> 00:32:37,200 Speaker 2: Perfect, wonderful. Then they have no reason to be here then, 644 00:32:37,480 --> 00:32:38,320 Speaker 2: but but. 645 00:32:38,400 --> 00:32:42,840 Speaker 3: Their their interest is actually the public interest. 646 00:32:43,520 --> 00:32:46,160 Speaker 2: I should listen to the show. Then they do. 647 00:32:48,280 --> 00:32:50,400 Speaker 3: Well and are generally happy. 648 00:32:50,680 --> 00:32:52,360 Speaker 2: Okay, I hope they are, because at least the ones 649 00:32:52,360 --> 00:32:54,000 Speaker 2: I talked to, I really don't want to get a 650 00:32:54,160 --> 00:32:57,960 Speaker 2: put in the goo lag, but putting aside the FBI's 651 00:32:58,720 --> 00:33:02,600 Speaker 2: clearly active interest than me, that's a great phrase to 652 00:33:02,640 --> 00:33:06,200 Speaker 2: say out loud. I do want this place to be 653 00:33:06,560 --> 00:33:10,200 Speaker 2: without the feeds, an actual place where journalists come. And 654 00:33:10,320 --> 00:33:11,960 Speaker 2: I know that there are some people who've reached out 655 00:33:12,000 --> 00:33:14,160 Speaker 2: to me and they've said they weren't able to make 656 00:33:14,160 --> 00:33:16,680 Speaker 2: it as such, We're going to remove We're going to 657 00:33:16,760 --> 00:33:18,760 Speaker 2: move stuff around next year. I want to make sure 658 00:33:18,800 --> 00:33:22,000 Speaker 2: there's more room for people, and mister Anguezo Junior sounds 659 00:33:22,040 --> 00:33:22,720 Speaker 2: like he will come back. 660 00:33:22,840 --> 00:33:23,520 Speaker 4: Yeah, I would love to. 661 00:33:23,720 --> 00:33:26,040 Speaker 2: Mister Roth will as well. I will be here and 662 00:33:26,200 --> 00:33:29,920 Speaker 2: Phil is stuck with me. But I think that the 663 00:33:30,000 --> 00:33:32,280 Speaker 2: thing I want to do differently as well is I 664 00:33:32,400 --> 00:33:35,080 Speaker 2: want to really plan out the groups because and I 665 00:33:35,160 --> 00:33:37,240 Speaker 2: must be honest to the listeners how much of this 666 00:33:37,400 --> 00:33:40,800 Speaker 2: came together in real time. But also I think you'll 667 00:33:40,840 --> 00:33:43,840 Speaker 2: indulge me because what an insane thing I did here 668 00:33:43,960 --> 00:33:46,360 Speaker 2: like this has been very crazy and I cannot believe that. 669 00:33:46,600 --> 00:33:48,680 Speaker 2: I cannot believe how well it worked, and it's thanks 670 00:33:48,720 --> 00:33:51,480 Speaker 2: to you guys, And of course i'll produce in Matasowski 671 00:33:51,640 --> 00:33:55,240 Speaker 2: who built this whole setup. But it's interesting because something 672 00:33:55,360 --> 00:33:58,520 Speaker 2: like this could actually be useful for people to understand 673 00:33:58,760 --> 00:34:02,480 Speaker 2: the mechanism power within tech, because I want people to 674 00:34:02,560 --> 00:34:04,880 Speaker 2: realize how much of it's bullshit. Sure, but how You've 675 00:34:04,880 --> 00:34:07,960 Speaker 2: got journalists coming out here who are actually trying to 676 00:34:09,080 --> 00:34:12,320 Speaker 2: find a way to cover it within the boundaries of journalism, 677 00:34:12,400 --> 00:34:14,600 Speaker 2: which can be quite difficult because most people can't come 678 00:34:14,680 --> 00:34:16,640 Speaker 2: on here and say, yeah, most of the shit I 679 00:34:16,719 --> 00:34:19,480 Speaker 2: saw was bullshit and that was broken and this is 680 00:34:19,719 --> 00:34:23,239 Speaker 2: shit not necessarily because of the byline, but also how 681 00:34:23,280 --> 00:34:25,839 Speaker 2: do you write that story? How do you actually put 682 00:34:25,880 --> 00:34:28,319 Speaker 2: that together? How do you actually say CS was full 683 00:34:28,320 --> 00:34:28,919 Speaker 2: of dog shit? 684 00:34:29,320 --> 00:34:32,160 Speaker 3: And please read the rest of my words after this. 685 00:34:32,560 --> 00:34:34,239 Speaker 2: And I'll tell you the way you don't do that. 686 00:34:35,480 --> 00:34:39,520 Speaker 2: Being sponsored by Delta Airlines, I will I will voice 687 00:34:39,560 --> 00:34:42,480 Speaker 2: my displeasure about mister Nilla, mister Nilla Pattel. 688 00:34:43,560 --> 00:34:44,960 Speaker 3: He is a dirty, dirty man. 689 00:34:46,440 --> 00:34:49,200 Speaker 2: Some management questions aside, Nill had a chance to do 690 00:34:49,320 --> 00:34:51,719 Speaker 2: something interesting at CES and somehow I did the more 691 00:34:51,800 --> 00:34:54,440 Speaker 2: interesting thing, which is disappointing. But also if you're being 692 00:34:54,680 --> 00:34:59,880 Speaker 2: if you bother SEO of Delta Vacations, who what are 693 00:34:59,920 --> 00:35:03,719 Speaker 2: you doing? Like? Or sorry, you're interviewing them to what end? 694 00:35:03,800 --> 00:35:06,360 Speaker 2: To what point? And I feel like the people covering 695 00:35:06,440 --> 00:35:09,600 Speaker 2: this show have got such a shit deal. But the 696 00:35:09,680 --> 00:35:12,680 Speaker 2: ones with the largest microphones other than my own don't 697 00:35:12,680 --> 00:35:13,120 Speaker 2: seem to be. 698 00:35:13,280 --> 00:35:19,160 Speaker 3: Full disclosure as a Platinum medallion member for Delta Man. 699 00:35:19,520 --> 00:35:21,800 Speaker 3: Those are the emails the delete the fastest. 700 00:35:22,560 --> 00:35:25,520 Speaker 2: It's just frustrating because people at the Verge. And I'm 701 00:35:25,600 --> 00:35:28,000 Speaker 2: not attacking the writers because Victoria's song was amazing on 702 00:35:28,080 --> 00:35:32,320 Speaker 2: this it feels like the people covering this show. Some 703 00:35:32,520 --> 00:35:35,200 Speaker 2: of them have potentially given up a little. The Verge 704 00:35:35,200 --> 00:35:38,000 Speaker 2: should not have a live show where the summation of 705 00:35:38,040 --> 00:35:41,880 Speaker 2: it starts with a fucking interview with the CEO of 706 00:35:42,000 --> 00:35:44,800 Speaker 2: the worst part of the Delta experience. 707 00:35:44,320 --> 00:35:45,280 Speaker 3: The Mini CEO. 708 00:35:45,680 --> 00:35:48,440 Speaker 2: And I saw people covering the Delta stuff just blandly, 709 00:35:48,480 --> 00:35:48,920 Speaker 2: and it's. 710 00:35:48,880 --> 00:35:52,800 Speaker 4: Like, did you check out the interview? What was the 711 00:35:52,880 --> 00:35:53,720 Speaker 4: interview itself? 712 00:35:53,800 --> 00:35:56,200 Speaker 2: I have not listened to the Verge cast in some time. 713 00:35:56,520 --> 00:35:59,200 Speaker 3: Well, I think, how you can cover that excitedly? 714 00:36:00,000 --> 00:36:02,600 Speaker 2: I think that No, actually, let me check my notes. 715 00:36:02,640 --> 00:36:08,000 Speaker 2: I did listen. It was let's see, it was James Tayklett, 716 00:36:08,120 --> 00:36:12,600 Speaker 2: the CEO of Lockheed Martin and who said that I 717 00:36:12,760 --> 00:36:16,160 Speaker 2: love the Verge. It's my favorite publication. And then they 718 00:36:16,200 --> 00:36:21,200 Speaker 2: were surprisingly joined by Handword chairman Sung and Kim, who said, 719 00:36:21,239 --> 00:36:23,440 Speaker 2: how the Verge is the best place to find out 720 00:36:23,560 --> 00:36:27,759 Speaker 2: about bombs. That is all the joke. I apologize, but nevertheless, 721 00:36:27,880 --> 00:36:31,319 Speaker 2: it's I've had that written down for a week. It's 722 00:36:31,400 --> 00:36:34,520 Speaker 2: just frustrating because it's like Leapatel, he can fucking do 723 00:36:34,600 --> 00:36:37,399 Speaker 2: a better job, And honestly, they could be better things 724 00:36:37,440 --> 00:36:39,440 Speaker 2: done at CES. The thing we've proven in the last week. 725 00:36:39,480 --> 00:36:41,280 Speaker 2: Not trying to put myself on the back or anything, 726 00:36:41,360 --> 00:36:43,919 Speaker 2: but I don't even need to say that. The people 727 00:36:43,920 --> 00:36:45,480 Speaker 2: who have come on have been really interesting, and I 728 00:36:45,520 --> 00:36:47,359 Speaker 2: think there's more that we can do. I don't even 729 00:36:47,360 --> 00:36:49,040 Speaker 2: know what whether to call myself part of the tech 730 00:36:49,120 --> 00:36:50,879 Speaker 2: me You're on a fucking pr film during the day, 731 00:36:51,160 --> 00:36:54,879 Speaker 2: write a newsletter where I regularly make typos that really 732 00:36:54,920 --> 00:36:59,840 Speaker 2: shouldn't be there. I just I don't know, man. But nevertheless, 733 00:36:59,840 --> 00:37:03,160 Speaker 2: it's like, there is more to be done, and there's 734 00:37:03,200 --> 00:37:05,200 Speaker 2: more to be done in the next year. And I 735 00:37:05,320 --> 00:37:08,000 Speaker 2: think the way everyone needs to go right now is 736 00:37:08,080 --> 00:37:10,319 Speaker 2: this move towards the question we've been asking a week, 737 00:37:11,000 --> 00:37:14,480 Speaker 2: which is why does this have to exist? Who is 738 00:37:14,520 --> 00:37:17,920 Speaker 2: it for? Why is why? And I think ed your 739 00:37:18,280 --> 00:37:20,880 Speaker 2: frustration with this place is that question is so often 740 00:37:21,200 --> 00:37:23,120 Speaker 2: not answerable somehow, Yeah. 741 00:37:24,000 --> 00:37:27,040 Speaker 4: Yeah, deeply so. I feel like or it is a 742 00:37:28,840 --> 00:37:32,520 Speaker 4: constructed individual that's not necessarily real as the tech industry is. 743 00:37:32,520 --> 00:37:35,160 Speaker 2: Like so far, Yeah, they're solving for an imaginary or 744 00:37:35,200 --> 00:37:35,520 Speaker 2: are that. 745 00:37:35,719 --> 00:37:39,399 Speaker 3: Search for an investor? The product is them? 746 00:37:40,120 --> 00:37:43,640 Speaker 4: I mean, I think you know, the the tech industry 747 00:37:43,680 --> 00:37:46,520 Speaker 4: has got and better in the years of constructing the 748 00:37:48,440 --> 00:37:51,640 Speaker 4: constructing the image that there is the person that wants 749 00:37:51,760 --> 00:37:53,759 Speaker 4: what they are offering. I mean, I think the most 750 00:37:53,800 --> 00:37:56,759 Speaker 4: recent example of this that was pretty bloigant was the 751 00:37:56,880 --> 00:38:02,560 Speaker 4: construction of the crypto voter, as facilitated by fair Shake, 752 00:38:02,719 --> 00:38:08,000 Speaker 4: and they're pretty massive lobbying campaign to punish any candidate 753 00:38:08,080 --> 00:38:13,000 Speaker 4: that seemed remotely anti crypto, to resounding success. I think, 754 00:38:13,120 --> 00:38:17,800 Speaker 4: like almost like a ninety plus percent hit rate for 755 00:38:18,520 --> 00:38:22,520 Speaker 4: winning races where they put up ads against or against 756 00:38:22,600 --> 00:38:29,440 Speaker 4: anti crypto or obstensibly anti crypto or insufficiently pro crypto candidates. 757 00:38:30,360 --> 00:38:32,680 Speaker 3: And that latter one is the really dirty one. You 758 00:38:32,719 --> 00:38:34,600 Speaker 3: don't love us enough, kiss the. 759 00:38:34,640 --> 00:38:37,000 Speaker 2: Boot in the imaginary customer, and. 760 00:38:37,040 --> 00:38:39,120 Speaker 4: The imaginary customer there's this is the idea of a 761 00:38:39,160 --> 00:38:43,080 Speaker 4: crypto voter. Someone who is motivated by a desire to 762 00:38:43,280 --> 00:38:47,120 Speaker 4: have a safe home for their crypto assets. They wanted 763 00:38:47,239 --> 00:38:50,560 Speaker 4: bank with, they wanted in a bank that they would 764 00:38:50,920 --> 00:38:54,240 Speaker 4: typically use. They want their dollars to be more easily 765 00:38:54,320 --> 00:38:57,960 Speaker 4: transferable between or to these things. They want to have 766 00:38:58,200 --> 00:39:01,520 Speaker 4: more assets that can be you know, that they can 767 00:39:01,600 --> 00:39:04,360 Speaker 4: trade in their dollars or their tokens for right. And 768 00:39:04,400 --> 00:39:07,680 Speaker 4: I think similarly, sometimes when I see, you know, I 769 00:39:07,760 --> 00:39:11,120 Speaker 4: think about, like especially the Global Pavilion for Crypto right 770 00:39:11,160 --> 00:39:13,200 Speaker 4: where it's like these people are sitting here talking about 771 00:39:13,239 --> 00:39:17,280 Speaker 4: how you know, for your brand, one way to increase 772 00:39:17,360 --> 00:39:23,000 Speaker 4: its authenticity has objectified, the company said, is to offer 773 00:39:23,080 --> 00:39:30,239 Speaker 4: a limited edition goods that will add an air of 774 00:39:30,360 --> 00:39:31,680 Speaker 4: rarity to your brand. 775 00:39:33,920 --> 00:39:34,080 Speaker 1: Yah. 776 00:39:34,160 --> 00:39:37,440 Speaker 4: Yeah, they're all tokens right and you know these The 777 00:39:37,560 --> 00:39:39,800 Speaker 4: idea here is also when you listen to them closely, 778 00:39:39,880 --> 00:39:42,239 Speaker 4: they're not saying like they're not actually saying there's any 779 00:39:42,360 --> 00:39:45,880 Speaker 4: use value. What they're saying is that we realized we 780 00:39:46,160 --> 00:39:49,560 Speaker 4: have a use case for justifying our service, which is 781 00:39:49,640 --> 00:39:52,440 Speaker 4: that you can make it more your thing, more exclusive 782 00:39:52,840 --> 00:39:54,879 Speaker 4: in partnership with us if you cut us a fee 783 00:39:55,120 --> 00:39:59,200 Speaker 4: and you generate a useless token. I feel like there 784 00:39:59,360 --> 00:40:02,239 Speaker 4: is a lot of this where, you know, solution in 785 00:40:02,320 --> 00:40:06,719 Speaker 4: search of a problem, or a business in search of 786 00:40:06,760 --> 00:40:08,840 Speaker 4: an opportunity to cut to extract a. 787 00:40:08,880 --> 00:40:10,799 Speaker 2: Fee rather than solving a need. 788 00:40:11,400 --> 00:40:13,000 Speaker 3: Someone once asked me if I was willing to do 789 00:40:13,640 --> 00:40:20,239 Speaker 3: limited n F n FT coded release labels on Black 790 00:40:20,239 --> 00:40:21,960 Speaker 3: Blood of the Earth bottles so that they could have 791 00:40:22,640 --> 00:40:25,920 Speaker 3: someone could have their very own NFT run of Black Blood, 792 00:40:26,040 --> 00:40:29,040 Speaker 3: and that would be an email I would delete it. 793 00:40:30,680 --> 00:40:32,800 Speaker 2: I would I would take such pleasure from watching you 794 00:40:33,239 --> 00:40:34,000 Speaker 2: enter the blockchain. 795 00:40:35,400 --> 00:40:40,440 Speaker 3: That was the point they wanted black block, black blockchain, coffee. 796 00:40:40,400 --> 00:40:41,520 Speaker 2: Block, Blood of the Earth. 797 00:40:42,520 --> 00:40:43,120 Speaker 3: I hate you. 798 00:40:45,040 --> 00:40:50,200 Speaker 2: So slightly different, slightly different direction. Do you actually like 799 00:40:50,280 --> 00:40:53,640 Speaker 2: any technology? I don't mean this in like anything. You 800 00:40:53,719 --> 00:40:55,919 Speaker 2: seem to enjoy your phone and such, like you enjoy 801 00:40:55,960 --> 00:40:56,759 Speaker 2: connecting with people. 802 00:40:57,480 --> 00:41:03,719 Speaker 4: Yeah, I mean I like, I like my phone, computers, screens. 803 00:41:05,920 --> 00:41:09,800 Speaker 4: But most things I'm just like, I'm not really a 804 00:41:09,880 --> 00:41:12,600 Speaker 4: cool Yeah, trains are cool. I mean if we're talking about, 805 00:41:12,640 --> 00:41:15,960 Speaker 4: for example, non digitally mediated, I mean, of course we're 806 00:41:15,960 --> 00:41:19,640 Speaker 4: talking about digitally mediated. I really have to be because 807 00:41:19,640 --> 00:41:22,799 Speaker 4: I'm not interested in like productivity hacks or saving time 808 00:41:23,760 --> 00:41:27,000 Speaker 4: person Yeah, you know, for me, like it's like the 809 00:41:27,120 --> 00:41:31,400 Speaker 4: things I'm interested in software and programs you know that 810 00:41:31,680 --> 00:41:35,600 Speaker 4: have helped me. I'm interested sometimes in you know, I 811 00:41:35,640 --> 00:41:38,160 Speaker 4: have a friend who I you know, I have a 812 00:41:38,239 --> 00:41:40,840 Speaker 4: friend who I learned coding with the you know what 813 00:41:41,000 --> 00:41:45,839 Speaker 4: was in there like maybe ten years ago. What in like, Well, 814 00:41:45,840 --> 00:41:49,759 Speaker 4: I don't talk about it because I don't like, uh 815 00:41:50,880 --> 00:41:53,600 Speaker 4: doing it, because I don't really care for much and 816 00:41:53,760 --> 00:41:55,360 Speaker 4: because of the reason I don't talk about it is 817 00:41:55,400 --> 00:41:59,520 Speaker 4: because it's always fun when I have when a tech 818 00:42:00,120 --> 00:42:02,520 Speaker 4: and gets a little mad at me, and I was like, 819 00:42:02,560 --> 00:42:05,400 Speaker 4: why is this guy who doesn't even code? And I'm like, 820 00:42:05,680 --> 00:42:08,880 Speaker 4: what about me makes you think? I can't tell me? 821 00:42:09,520 --> 00:42:14,600 Speaker 4: That's cool though, So, you know, especially with the more 822 00:42:16,280 --> 00:42:21,640 Speaker 4: the more recent wave of tools of generative tools for 823 00:42:22,640 --> 00:42:24,920 Speaker 4: coding supplements, I mean, you know, I've kind of been 824 00:42:25,000 --> 00:42:28,000 Speaker 4: inspired by like writing from like Brian Eno and you 825 00:42:28,080 --> 00:42:30,400 Speaker 4: have getny more is off to try and create like 826 00:42:30,520 --> 00:42:33,480 Speaker 4: small applications that help us learn other languages because I've 827 00:42:33,480 --> 00:42:35,520 Speaker 4: been trying to learn Mandarin for a long time, right, 828 00:42:37,160 --> 00:42:39,680 Speaker 4: you know, And so stuff like this is fun and interesting, 829 00:42:39,800 --> 00:42:45,200 Speaker 4: like little trinkets, little little you know, short desktop apps 830 00:42:45,280 --> 00:42:48,440 Speaker 4: or you know, all small little programs that helped me 831 00:42:48,520 --> 00:42:50,080 Speaker 4: in my daily life. But I do I'm not really 832 00:42:50,120 --> 00:42:51,400 Speaker 4: interested in like some overhaul. 833 00:42:51,760 --> 00:42:54,839 Speaker 2: It feels like what you're describing is the purest form 834 00:42:54,880 --> 00:42:56,960 Speaker 2: of technology, which is why do we use the computer 835 00:42:57,080 --> 00:42:58,920 Speaker 2: to connect with people or connect with ourselves a bit 836 00:42:59,000 --> 00:43:02,880 Speaker 2: more to actually true love what we want to do 837 00:43:03,160 --> 00:43:06,640 Speaker 2: more to enhance ourselves. Because the reason I'm asking these 838 00:43:06,760 --> 00:43:10,120 Speaker 2: questions is because there are some fucking idiots I'm just 839 00:43:10,160 --> 00:43:12,480 Speaker 2: gonna skip to that part. Who would just be like, well, 840 00:43:12,600 --> 00:43:14,960 Speaker 2: it's just a hater. Yeah, and I've got the same 841 00:43:15,000 --> 00:43:18,080 Speaker 2: thing as an heir to his hatter m Otherwise, can 842 00:43:18,120 --> 00:43:20,439 Speaker 2: I say a terrifying that he might finish his point 843 00:43:20,440 --> 00:43:22,879 Speaker 2: and then we'll get to you. Don't worry I am 844 00:43:23,000 --> 00:43:23,680 Speaker 2: a hater in that. 845 00:43:23,920 --> 00:43:25,879 Speaker 4: I think that a lot of times. 846 00:43:26,120 --> 00:43:28,360 Speaker 2: The greatest hate is love. Yeah, right, please continue. 847 00:43:28,400 --> 00:43:31,760 Speaker 4: When someone is talking to me or trying to convince 848 00:43:31,920 --> 00:43:35,479 Speaker 4: me to integrate some algorithm or digital program into my life, 849 00:43:35,560 --> 00:43:38,440 Speaker 4: what they're usually talking about is a way to like 850 00:43:38,680 --> 00:43:43,480 Speaker 4: offload some of the cognitive burden and not actually cut 851 00:43:43,520 --> 00:43:47,880 Speaker 4: through a stupid task or to not come up for example, 852 00:43:47,960 --> 00:43:50,640 Speaker 4: like you know, me and my friend we've you know, 853 00:43:51,560 --> 00:43:53,640 Speaker 4: you've getting more is an inspiration for this what he 854 00:43:53,719 --> 00:43:55,680 Speaker 4: talks about in one of his essays about how he 855 00:43:55,719 --> 00:44:01,800 Speaker 4: uses generitive tools to try to create a group of 856 00:44:01,880 --> 00:44:05,280 Speaker 4: language programs so that he'll try to talk in another 857 00:44:05,400 --> 00:44:08,279 Speaker 4: language or answer questions another language, and then based on 858 00:44:08,320 --> 00:44:12,880 Speaker 4: the weaknesses, it will generate kind of questions and exams 859 00:44:12,920 --> 00:44:15,640 Speaker 4: and stories that will test what he has shown a 860 00:44:15,680 --> 00:44:16,320 Speaker 4: deficiency in. 861 00:44:16,440 --> 00:44:18,960 Speaker 2: You know, there's like elements of how one structure is 862 00:44:19,000 --> 00:44:19,920 Speaker 2: a sentence. 863 00:44:19,560 --> 00:44:26,719 Speaker 4: Maybe, yeah, grammar, sentence structure, ambiguities of descriptive language. I mean, 864 00:44:26,800 --> 00:44:32,520 Speaker 4: and this is stuff that interest us more than the 865 00:44:32,600 --> 00:44:34,839 Speaker 4: way in which we typically have been trying to learn 866 00:44:34,840 --> 00:44:38,160 Speaker 4: the languages, especially you know, because I'm doing I'm trying 867 00:44:38,160 --> 00:44:41,600 Speaker 4: to do Swahilia as well, so Swahili and Mandarin, and 868 00:44:42,200 --> 00:44:46,120 Speaker 4: he's doing Spanish and Pastrin, and so it's like there 869 00:44:46,200 --> 00:44:49,120 Speaker 4: are a lot of the apps that are offered in 870 00:44:49,120 --> 00:44:51,080 Speaker 4: a lot of the programs, a lot of the methods, 871 00:44:51,239 --> 00:44:53,799 Speaker 4: or we simply either don't have the time to do them, 872 00:44:54,440 --> 00:44:59,840 Speaker 4: or the the gamification that's presented is bullshit. 873 00:45:00,200 --> 00:45:01,920 Speaker 2: Will do a lingo style, you know. 874 00:45:02,120 --> 00:45:04,400 Speaker 4: So I'm if you can figure out a way to 875 00:45:04,560 --> 00:45:07,919 Speaker 4: do it that is more closer resembling how a human 876 00:45:08,040 --> 00:45:12,080 Speaker 4: human interaction does it without trying to convince me that 877 00:45:12,200 --> 00:45:14,800 Speaker 4: I need to offload onto some sort of platform and 878 00:45:14,920 --> 00:45:18,279 Speaker 4: or some ecosystem. Sure, I mean, I'm interested, right, but 879 00:45:18,640 --> 00:45:20,400 Speaker 4: most of the time you have to make you have 880 00:45:20,520 --> 00:45:21,920 Speaker 4: to make the case, and it has to be a 881 00:45:22,000 --> 00:45:24,360 Speaker 4: convincing case for why an algorithm needs to be introduced 882 00:45:24,400 --> 00:45:26,839 Speaker 4: into something that I'm interested in using. And I think 883 00:45:26,880 --> 00:45:29,160 Speaker 4: that most of times, if you actually spend time talking 884 00:45:29,200 --> 00:45:31,480 Speaker 4: with the people about it and interrogating it, it doesn't 885 00:45:32,080 --> 00:45:33,000 Speaker 4: past the sniff test. 886 00:45:33,239 --> 00:45:33,359 Speaker 2: Right. 887 00:45:34,120 --> 00:45:37,080 Speaker 3: This is where the solving the language problem and the 888 00:45:37,160 --> 00:45:40,799 Speaker 3: human interaction level. This is where I have to say 889 00:45:40,880 --> 00:45:45,440 Speaker 3: the terrifying words. I love Uber mm hmmm, because it 890 00:45:45,560 --> 00:45:49,600 Speaker 3: did one thing that they are not proud of, that 891 00:45:49,719 --> 00:45:52,440 Speaker 3: they do not tout as a thing they can do. 892 00:45:57,040 --> 00:46:04,080 Speaker 3: In general, Uber is tals and to regulated right environments. 893 00:46:04,239 --> 00:46:09,080 Speaker 3: It destroys taxi networks, never mind adoption of tech technology 894 00:46:09,120 --> 00:46:12,640 Speaker 3: that taxi should have done to approof service. Uber obliterates 895 00:46:12,760 --> 00:46:17,279 Speaker 3: that good ecosystem. However, in unregulated markets or ones that 896 00:46:17,400 --> 00:46:24,120 Speaker 3: are highly corrupt and barter based where I don't know, 897 00:46:24,239 --> 00:46:28,280 Speaker 3: such as such as Ukraine and most of Eastern Europe. 898 00:46:28,440 --> 00:46:31,040 Speaker 2: Now your experience with this was pre war, though right. 899 00:46:31,000 --> 00:46:36,600 Speaker 3: It was pre war in Kiev. I do not speak Ukrainian, 900 00:46:37,120 --> 00:46:41,960 Speaker 3: although my feeble language skills of I speak English. I 901 00:46:42,040 --> 00:46:45,920 Speaker 3: have technical Spanish, I can have commerce Spanish, but don't 902 00:46:46,000 --> 00:46:48,000 Speaker 3: ask me to talk about poetry and art. 903 00:46:48,160 --> 00:46:52,040 Speaker 2: If you make two Spanishes, I call back to another anyway. 904 00:46:53,280 --> 00:46:58,320 Speaker 3: But when I got done playing in the Great Patriotic 905 00:46:58,360 --> 00:47:02,080 Speaker 3: War Museum, and it was snowing, the first snow of 906 00:47:02,320 --> 00:47:06,719 Speaker 3: the season in Kiev, and I did not feel like 907 00:47:06,840 --> 00:47:09,160 Speaker 3: doing my normal thing of walking all the way across 908 00:47:09,200 --> 00:47:13,000 Speaker 3: the city just to enjoy and absorb the city and 909 00:47:13,160 --> 00:47:16,480 Speaker 3: on international data rates. I downloaded Uber on the principle 910 00:47:16,480 --> 00:47:19,040 Speaker 3: of I just want to get back to my hotel. 911 00:47:21,200 --> 00:47:26,880 Speaker 3: Uber was able to, within its app allow me to 912 00:47:27,120 --> 00:47:33,160 Speaker 3: arrange a ride negotiate. Well, I didn't even negotiate set price. 913 00:47:33,400 --> 00:47:34,680 Speaker 2: Yeah, then negotiating for you. 914 00:47:34,920 --> 00:47:38,480 Speaker 3: It negotiated for me for a set price that is firm, 915 00:47:39,880 --> 00:47:43,360 Speaker 3: and get my destination correct with a driver. Neither of 916 00:47:43,520 --> 00:47:48,840 Speaker 3: us spoke each other's language, and it was seamless. That 917 00:47:49,400 --> 00:47:52,160 Speaker 3: is a thing they never tout, they are not proud of, 918 00:47:52,600 --> 00:47:56,440 Speaker 3: but they do everywhere in the world, and with time, 919 00:47:56,760 --> 00:48:00,360 Speaker 3: I did that in twenty sixteen. Their language translation on 920 00:48:00,480 --> 00:48:03,239 Speaker 3: either end of their app has only gotten better. 921 00:48:03,560 --> 00:48:07,400 Speaker 2: But the problem is that you're completely right, except for 922 00:48:07,440 --> 00:48:10,520 Speaker 2: the fact that Uber also had a bigger opportunity they 923 00:48:10,600 --> 00:48:13,400 Speaker 2: didn't do, which was if they'd have grown sustainably and 924 00:48:13,560 --> 00:48:17,120 Speaker 2: set real labor rates and demanded benefits, Uber could probably 925 00:48:17,160 --> 00:48:18,640 Speaker 2: be a fifteen trillion dollar company. 926 00:48:18,719 --> 00:48:20,719 Speaker 3: Oh you mean, actually be profitable. 927 00:48:20,600 --> 00:48:24,360 Speaker 2: No, I mean beyond that. If uber had slowly grown 928 00:48:24,560 --> 00:48:28,520 Speaker 2: and done it more than minimum wage and use their 929 00:48:28,560 --> 00:48:32,200 Speaker 2: scale to actually commit themselves to getting real benefits rates 930 00:48:32,280 --> 00:48:35,360 Speaker 2: for employees and grown like that, they could have actually 931 00:48:35,360 --> 00:48:39,040 Speaker 2: grown to be probably the largest employer in the world 932 00:48:39,080 --> 00:48:41,759 Speaker 2: and actually given people benefits. So they chose the other. 933 00:48:41,840 --> 00:48:44,440 Speaker 2: And what sucks is that the reason they did what 934 00:48:44,560 --> 00:48:48,400 Speaker 2: you just described, which is genuinely good, is so that 935 00:48:48,520 --> 00:48:51,880 Speaker 2: they could find new people that spoke other languages to 936 00:48:52,000 --> 00:48:52,800 Speaker 2: extract from. 937 00:48:52,960 --> 00:48:56,320 Speaker 3: That was the first time I called an uber of 938 00:48:56,480 --> 00:48:57,160 Speaker 3: my own. 939 00:48:57,440 --> 00:49:00,920 Speaker 2: I remember, and it sucks that they didn't do it 940 00:49:01,000 --> 00:49:02,520 Speaker 2: to make sure that you could do the thing you did. 941 00:49:02,600 --> 00:49:04,600 Speaker 3: It was just like we had to get that extracion. 942 00:49:05,320 --> 00:49:08,279 Speaker 3: Fuck it makes me mad with the sign of the 943 00:49:08,320 --> 00:49:13,640 Speaker 3: simultaneous You made a human experience I couldn't have otherwise had. 944 00:49:13,880 --> 00:49:16,880 Speaker 2: But is this not CS A lot of ideas that 945 00:49:16,920 --> 00:49:19,640 Speaker 2: are made up that could could be for ostensibly good reasons, 946 00:49:19,680 --> 00:49:23,240 Speaker 2: But I've really done for the investor, for the theoretical customer. 947 00:49:24,800 --> 00:49:28,080 Speaker 2: Everything we've describing that's good here is about actually connecting 948 00:49:28,120 --> 00:49:31,160 Speaker 2: the smart cane as glib as I might have been 949 00:49:31,200 --> 00:49:34,359 Speaker 2: about it. People genuinely will find good in that I'm 950 00:49:35,360 --> 00:49:36,120 Speaker 2: excited about. 951 00:49:35,960 --> 00:49:38,319 Speaker 4: The medical devices. These are all good. And I mean, 952 00:49:39,120 --> 00:49:41,400 Speaker 4: and we've also you know, we've talked before about huh. 953 00:49:41,760 --> 00:49:43,800 Speaker 4: There are lots of algorithmic things I have nothing to 954 00:49:43,840 --> 00:49:45,719 Speaker 4: do with the consumer that are helpful, you know, that 955 00:49:45,960 --> 00:49:51,200 Speaker 4: are on the back end of helping test things or 956 00:49:51,360 --> 00:49:56,160 Speaker 4: discover or do trials for various compounds. Right, as long 957 00:49:56,200 --> 00:49:58,800 Speaker 4: as you don't put you know, I'm very skeptical of 958 00:49:58,880 --> 00:50:02,320 Speaker 4: the generative tools that are being deployed for this, but 959 00:50:02,480 --> 00:50:05,239 Speaker 4: you know, more traditionally, when they're done for this, this, 960 00:50:05,520 --> 00:50:07,360 Speaker 4: you know, is something that's interesting. I mean, there's a 961 00:50:07,440 --> 00:50:09,960 Speaker 4: host of applications that we wanted to sit down, we 962 00:50:10,000 --> 00:50:11,920 Speaker 4: could talk about. But you know, for me, the thing 963 00:50:12,000 --> 00:50:13,960 Speaker 4: I don't hate, I mean, the thing I don't like 964 00:50:14,080 --> 00:50:16,279 Speaker 4: and the stuff I just like kind of informs my 965 00:50:16,600 --> 00:50:18,840 Speaker 4: my antipathy towards it. My ludism is like, you know, 966 00:50:19,600 --> 00:50:23,720 Speaker 4: usually when we have a venture capital firm, a private firm, 967 00:50:24,920 --> 00:50:29,760 Speaker 4: or well capitalize individual, hedge fund, whatever pushing a certain 968 00:50:29,800 --> 00:50:34,920 Speaker 4: type of technology innovation, it's because they're interested in prioritizing 969 00:50:35,080 --> 00:50:38,200 Speaker 4: the startup form, which itself already closes a lot of 970 00:50:38,280 --> 00:50:41,600 Speaker 4: doors because you have to adopt a certain product, you 971 00:50:41,719 --> 00:50:44,440 Speaker 4: have to adopt a certain value structure so that you 972 00:50:44,440 --> 00:50:47,040 Speaker 4: can pay the software tax or the you know, the 973 00:50:47,160 --> 00:50:49,279 Speaker 4: cloud tax, or you have to you have to figure 974 00:50:49,280 --> 00:50:52,400 Speaker 4: out a way that you're going to you know, organize 975 00:50:52,480 --> 00:50:54,880 Speaker 4: labor so that you can have contractors and employees and 976 00:50:55,680 --> 00:50:59,000 Speaker 4: all of these limitations. There's more energy being spent on 977 00:51:01,000 --> 00:51:06,600 Speaker 4: or the barriers to maximizing potential valuation and profitability in 978 00:51:06,760 --> 00:51:11,040 Speaker 4: market share instead of the actual technological innovation itself. 979 00:51:25,600 --> 00:51:28,400 Speaker 2: So we are at the end, I'm afraid, And yesterday 980 00:51:28,440 --> 00:51:30,400 Speaker 2: you got my kind of teary goodbye to everyone, and 981 00:51:30,800 --> 00:51:32,279 Speaker 2: to give you an idea of what the room was 982 00:51:32,320 --> 00:51:34,640 Speaker 2: like yesterday, it was full of people and everyone was 983 00:51:34,719 --> 00:51:36,359 Speaker 2: yelling and it was very fun. That's where you got 984 00:51:36,400 --> 00:51:39,399 Speaker 2: the yes chef from. We have had an insanely cool 985 00:51:39,480 --> 00:51:41,960 Speaker 2: crew of people, of course led by mattis Houski, our 986 00:51:42,000 --> 00:51:45,800 Speaker 2: producer here, but we've really gone through a lot of 987 00:51:45,840 --> 00:51:47,680 Speaker 2: the tech media and the thing I'll say for next 988 00:51:47,760 --> 00:51:50,160 Speaker 2: year is I'm going to have more of them. We 989 00:51:50,280 --> 00:51:52,680 Speaker 2: had twenty guests on this damn show, including the people 990 00:51:52,800 --> 00:51:53,719 Speaker 2: in front of me as well. 991 00:51:53,840 --> 00:51:54,919 Speaker 3: I have more liquor to serve. 992 00:51:55,040 --> 00:51:58,920 Speaker 2: Indeed he does, and it's fun. It's also it seems 993 00:51:59,040 --> 00:52:01,200 Speaker 2: like the listeners. I want this to be an active 994 00:52:01,280 --> 00:52:03,800 Speaker 2: conversation with you. You're on the redditch, you email me. 995 00:52:03,920 --> 00:52:06,399 Speaker 2: I love it. Please get in touch on Blue Sky, 996 00:52:06,680 --> 00:52:09,280 Speaker 2: you get in touch on Threads. I am not listening 997 00:52:09,840 --> 00:52:11,399 Speaker 2: like I just want to be clear, like I look 998 00:52:11,480 --> 00:52:15,879 Speaker 2: down on you, Instagram, DMS, Absolutely, Threads not so much 999 00:52:16,280 --> 00:52:20,880 Speaker 2: why I'm a hypogram. Anyway, this has been an amazing 1000 00:52:20,920 --> 00:52:22,239 Speaker 2: show and I want to hear from you. But next 1001 00:52:22,320 --> 00:52:24,000 Speaker 2: year we're going to be a bit more structured, but 1002 00:52:24,120 --> 00:52:26,719 Speaker 2: also it's probably going to be the same format. We're 1003 00:52:26,719 --> 00:52:28,880 Speaker 2: going to have what diverse voices, and we're also going 1004 00:52:28,960 --> 00:52:32,600 Speaker 2: to get into more definitive subjects. I think the one 1005 00:52:32,719 --> 00:52:34,440 Speaker 2: thing I could have done, but there are a few 1006 00:52:34,480 --> 00:52:36,879 Speaker 2: things I could have done better. One thing I could 1007 00:52:36,920 --> 00:52:39,640 Speaker 2: have is subject matter and having the subject matter experts. 1008 00:52:39,680 --> 00:52:41,680 Speaker 2: We have people like Max Cherney and Da Vinda Hardware 1009 00:52:41,680 --> 00:52:44,440 Speaker 2: who really knew their chips, for example, we can wrangle 1010 00:52:44,520 --> 00:52:48,120 Speaker 2: that coverage far more specifically. But also there was something 1011 00:52:48,160 --> 00:52:50,200 Speaker 2: fun about having the Slop of the Week just kind 1012 00:52:50,239 --> 00:52:52,759 Speaker 2: of wash over us because I wanted all of you 1013 00:52:52,960 --> 00:52:56,080 Speaker 2: listening do kind of get an idea of how obtuse 1014 00:52:56,160 --> 00:52:59,080 Speaker 2: a conference is. And I know some of you go 1015 00:52:59,200 --> 00:53:01,759 Speaker 2: to a weird conference is and such and thus you 1016 00:53:01,880 --> 00:53:06,600 Speaker 2: have this experience. But Phil, thank you for being up bartender, 1017 00:53:06,800 --> 00:53:09,920 Speaker 2: thank you for serving everyone. I'm I really treasure your 1018 00:53:09,960 --> 00:53:11,839 Speaker 2: hard work. And let's do nine next year. 1019 00:53:12,120 --> 00:53:16,320 Speaker 3: Hell Yeah's something I'm very proud of that I started 1020 00:53:16,360 --> 00:53:20,000 Speaker 3: trying to kick in the sixth and seventh time we 1021 00:53:20,120 --> 00:53:24,000 Speaker 3: did this was making sure I had non alcoholic options 1022 00:53:24,040 --> 00:53:27,799 Speaker 3: available for people. I had more than ever available this year, 1023 00:53:28,680 --> 00:53:31,240 Speaker 3: and I'm glad I got to give it to people. 1024 00:53:31,000 --> 00:53:33,279 Speaker 2: Who yeah, because this is not a place where you 1025 00:53:33,360 --> 00:53:34,200 Speaker 2: have to drink. 1026 00:53:34,120 --> 00:53:38,720 Speaker 3: Because most people who don't drink can't drink. 1027 00:53:39,040 --> 00:53:39,239 Speaker 2: Yeah. 1028 00:53:39,480 --> 00:53:42,960 Speaker 3: They usually feel very asked out when they go to 1029 00:53:43,160 --> 00:53:47,080 Speaker 3: events at conventions like this, and I want people to 1030 00:53:47,120 --> 00:53:48,000 Speaker 3: feel welcome. 1031 00:53:48,120 --> 00:53:50,000 Speaker 2: And you are here, like, I don't care if you 1032 00:53:50,600 --> 00:53:53,200 Speaker 2: don't have any substances. Maybe you don't even have food. 1033 00:53:53,120 --> 00:53:54,640 Speaker 3: You don't need even gas station mushrooms. 1034 00:53:55,480 --> 00:53:57,279 Speaker 2: Want to say thank you Robert for the gas station 1035 00:53:57,440 --> 00:54:00,160 Speaker 2: mushrooms you bought. And I didn't take them because I 1036 00:54:00,239 --> 00:54:01,320 Speaker 2: don't just eat food. 1037 00:54:01,120 --> 00:54:02,760 Speaker 3: Off the floor or gas stations. 1038 00:54:02,960 --> 00:54:04,360 Speaker 4: I mean, but it was that I introduce you to 1039 00:54:04,400 --> 00:54:07,640 Speaker 4: some of my friends. Yeah, I drug of freakins. We 1040 00:54:07,719 --> 00:54:08,759 Speaker 4: would call some of them. 1041 00:54:08,960 --> 00:54:12,080 Speaker 2: Okay, that's that's a new term. That is a series 1042 00:54:12,160 --> 00:54:14,120 Speaker 2: of words that I will be unpacking for some time. 1043 00:54:14,200 --> 00:54:17,839 Speaker 3: But a pleasure. It's real fun. 1044 00:54:18,280 --> 00:54:21,399 Speaker 2: And this is kind of the I was about to say, 1045 00:54:21,400 --> 00:54:23,320 Speaker 2: the end of the rope. It's quite the opposite, the 1046 00:54:23,400 --> 00:54:25,200 Speaker 2: beginning of something cool, because Phil and I have been 1047 00:54:25,200 --> 00:54:26,719 Speaker 2: doing this for so long and some of you have 1048 00:54:26,760 --> 00:54:28,719 Speaker 2: got in touch and like asked, it's this was a 1049 00:54:28,880 --> 00:54:31,479 Speaker 2: sweet where we brought our friends in from the tech media, 1050 00:54:31,520 --> 00:54:34,040 Speaker 2: and now it's turned into something really cool that I 1051 00:54:34,239 --> 00:54:36,879 Speaker 2: look to grow and turn into something weird and fun 1052 00:54:37,040 --> 00:54:39,239 Speaker 2: every year. If you're a remember of the tech media 1053 00:54:39,239 --> 00:54:41,520 Speaker 2: who was not on here listening to this, get in touch. 1054 00:54:42,120 --> 00:54:44,400 Speaker 2: If you're in New York, for example, we will be 1055 00:54:44,520 --> 00:54:48,399 Speaker 2: doing what you heard this week very regularly. Every other week. 1056 00:54:48,560 --> 00:54:51,160 Speaker 2: I would say, get in touch. Maybe it's not the 1057 00:54:51,440 --> 00:54:54,560 Speaker 2: next episode, but I want a chunk of the tech 1058 00:54:54,640 --> 00:54:57,640 Speaker 2: media on there. I want I want this. The tech 1059 00:54:57,719 --> 00:55:01,040 Speaker 2: media is full of such insanely fun and weird and 1060 00:55:01,160 --> 00:55:03,680 Speaker 2: wonderful voices, tons of people so good on the mic 1061 00:55:03,760 --> 00:55:07,680 Speaker 2: that you wouldn't know. I want to help with that. 1062 00:55:07,840 --> 00:55:09,919 Speaker 2: I want this to be something Phil. 1063 00:55:10,560 --> 00:55:12,840 Speaker 3: And if you're coming to the Bay Area for some reason, 1064 00:55:13,400 --> 00:55:16,960 Speaker 3: I'm always happy to give the Phil Broughton Tour where 1065 00:55:17,000 --> 00:55:19,720 Speaker 3: I point at Manhattan Project things that aren't there anymore. 1066 00:55:19,840 --> 00:55:20,840 Speaker 4: Oh you're on the bay. 1067 00:55:21,400 --> 00:55:24,840 Speaker 2: Yeah wow, wait died how many hours and we just 1068 00:55:24,920 --> 00:55:25,560 Speaker 2: didn't reveal that? 1069 00:55:25,760 --> 00:55:28,080 Speaker 3: Oh yeah, well yeah, I live in the Bay Area 1070 00:55:28,160 --> 00:55:30,400 Speaker 3: and I work at a university that is somewhere in 1071 00:55:30,440 --> 00:55:30,919 Speaker 3: the Bay Area. 1072 00:55:31,120 --> 00:55:33,959 Speaker 4: I'll be I'll be there twenty eight to thirty first. Also, 1073 00:55:34,000 --> 00:55:36,439 Speaker 4: if you're in the Bay Area twenty to thirty first, 1074 00:55:36,480 --> 00:55:39,399 Speaker 4: you should come to my co host Jathan Sadowski's book 1075 00:55:39,440 --> 00:55:40,520 Speaker 4: launch at City Lights. 1076 00:55:41,680 --> 00:55:45,160 Speaker 2: Jathan Sadowski, of course, the inventor of the Habsburg AI term. 1077 00:55:45,400 --> 00:55:49,600 Speaker 4: Yes, I got the air appand of the Absburg embardy 1078 00:55:49,680 --> 00:55:52,440 Speaker 4: yell at him and say this is a stereotype. 1079 00:55:52,760 --> 00:55:56,960 Speaker 2: A man. I am so jealous of that that happened. 1080 00:55:57,960 --> 00:56:00,759 Speaker 2: I am so upset that I've not had like AI 1081 00:56:00,880 --> 00:56:04,880 Speaker 2: and and AI very nice. Those are my two favorite kinds. 1082 00:56:05,320 --> 00:56:09,480 Speaker 2: Right but also ed on Gwaiso Junior, thank you so 1083 00:56:09,600 --> 00:56:14,040 Speaker 2: much you have battled through this week for your first 1084 00:56:14,120 --> 00:56:18,320 Speaker 2: ces in. I would say the conditions have been chaotic, 1085 00:56:19,600 --> 00:56:21,680 Speaker 2: but I made it. He made it. 1086 00:56:21,800 --> 00:56:22,719 Speaker 4: My stomach made it. 1087 00:56:23,200 --> 00:56:26,680 Speaker 2: He cooked. But also you're going to see in the 1088 00:56:26,760 --> 00:56:29,759 Speaker 2: next year exactly how much mister Gwayso Junior does. He 1089 00:56:29,960 --> 00:56:32,640 Speaker 2: is incredible and we've been so lucky to have him. 1090 00:56:33,480 --> 00:56:35,920 Speaker 3: Thank you. I got to meet one of my favorite writers. 1091 00:56:36,080 --> 00:56:36,320 Speaker 4: Thank you. 1092 00:56:36,520 --> 00:56:38,399 Speaker 3: I've been enjoying your work for so long. 1093 00:56:38,520 --> 00:56:39,520 Speaker 4: I really appreciate that. 1094 00:56:39,600 --> 00:56:40,280 Speaker 3: It's been awesome. 1095 00:56:40,480 --> 00:56:42,200 Speaker 2: And I will say this as I say every time 1096 00:56:42,239 --> 00:56:44,840 Speaker 2: when I meet you. Man, I also got to have 1097 00:56:45,000 --> 00:56:47,000 Speaker 2: drinks some of my favorite writers. Thank you so much 1098 00:56:47,040 --> 00:56:51,440 Speaker 2: for your time. It's been a genuine pleasure, I imagine 1099 00:56:51,480 --> 00:56:53,799 Speaker 2: for the listeners, but selfishly for me mean too. 1100 00:56:53,840 --> 00:56:55,560 Speaker 4: I wouldn't have done it with anyone else. Guys. 1101 00:56:56,040 --> 00:56:58,759 Speaker 2: Hell yeah, and this is the thing, like this has 1102 00:56:58,840 --> 00:57:01,719 Speaker 2: been very guy way too. But also I want all 1103 00:57:01,800 --> 00:57:03,960 Speaker 2: the fellows to listen to remember that you can love 1104 00:57:04,000 --> 00:57:06,480 Speaker 2: your male friends and talk about how fucking rockin they 1105 00:57:06,480 --> 00:57:08,680 Speaker 2: are and how much they've supported you all week. You 1106 00:57:08,760 --> 00:57:11,280 Speaker 2: don't have to be so fucking self conscious. You fucking 1107 00:57:11,400 --> 00:57:15,239 Speaker 2: cowards compliment each other. Also, Ed is like the best 1108 00:57:15,360 --> 00:57:17,960 Speaker 2: dressed man I've ever fucking every fucking day. I'm just 1109 00:57:18,080 --> 00:57:20,920 Speaker 2: swearing too much. Ed looks just amazing. I look pretty 1110 00:57:20,920 --> 00:57:23,480 Speaker 2: good too. Don't say it jealous of a suit. Yeah, 1111 00:57:23,520 --> 00:57:27,320 Speaker 2: he actually has like the most wonderful I wish I 1112 00:57:27,440 --> 00:57:30,360 Speaker 2: was this cool, but nevertheless, we've had an incredible crew 1113 00:57:30,400 --> 00:57:33,160 Speaker 2: of people. I want to start by thanking Jared Newman 1114 00:57:33,240 --> 00:57:37,120 Speaker 2: the Freelancer, Henry Casey of CNN underscored Ednie Demeyer of 1115 00:57:37,160 --> 00:57:41,560 Speaker 2: the Autono Cast, Father, Gabriel Mosher of course of the Church, 1116 00:57:42,440 --> 00:57:45,440 Speaker 2: Jesse Ferra and Michael Hale of your Kickstarter Sucks, Tom 1117 00:57:45,520 --> 00:57:48,800 Speaker 2: McKay of It Brew, of course, David Roth of Defecta, 1118 00:57:48,880 --> 00:57:52,240 Speaker 2: Matt Binder of Mashable, Max Journey of Reuters, Gara Davis, 1119 00:57:52,320 --> 00:57:54,520 Speaker 2: and Robert Evans of course if it could happen here, 1120 00:57:54,760 --> 00:57:57,000 Speaker 2: Phil Broughton, who's sitting across from me, of what I've 1121 00:57:57,080 --> 00:58:03,040 Speaker 2: just written as miscellaneous, Devendra Hardowa, Carissa Bell and of 1122 00:58:03,080 --> 00:58:06,840 Speaker 2: course shirln Lowe of ng Gadget Victorious Song of the Verge, 1123 00:58:07,000 --> 00:58:10,760 Speaker 2: Kyl Shnard of the Las Vegas Sun, and of course 1124 00:58:11,560 --> 00:58:17,320 Speaker 2: Mattasowski are incredible. God damn producer, you have been an 1125 00:58:17,440 --> 00:58:19,880 Speaker 2: absolute legend this entire time. We couldn't have done it 1126 00:58:19,920 --> 00:58:22,040 Speaker 2: without you, but we also could not have done it 1127 00:58:22,160 --> 00:58:26,200 Speaker 2: without iHeartRadio, Sophie Lichtermann and of course Ian Johnson, who 1128 00:58:26,240 --> 00:58:29,840 Speaker 2: has been He is literally dealing with the wildfires at 1129 00:58:29,880 --> 00:58:33,160 Speaker 2: the moment, and he is we like, we didn't hear 1130 00:58:33,160 --> 00:58:35,880 Speaker 2: from it. It's like, oh crap, shit, And actually I 1131 00:58:35,960 --> 00:58:37,880 Speaker 2: want to do a shout out to Miles Gray of 1132 00:58:38,040 --> 00:58:42,200 Speaker 2: the Daily Zeitguy's the iHeart Radio show. He literally lost everything. 1133 00:58:42,240 --> 00:58:44,560 Speaker 2: I'll be dropping a link in there. Don't feel obligated to, 1134 00:58:44,840 --> 00:58:46,560 Speaker 2: like many people going through many things, but if you 1135 00:58:46,600 --> 00:58:51,120 Speaker 2: can donate, please do and thank you for me. This 1136 00:58:51,280 --> 00:58:55,560 Speaker 2: has been a very personal podcast, a little too personal, 1137 00:58:55,600 --> 00:58:57,280 Speaker 2: and I have no idea if it's good or bad. 1138 00:58:57,480 --> 00:59:00,680 Speaker 2: I really don't know. You seem to be happy, but nevertheless, 1139 00:59:00,720 --> 00:59:03,160 Speaker 2: this is you've all kind of witnessed my own personal 1140 00:59:03,240 --> 00:59:05,720 Speaker 2: journey with technology and technology has been part of my 1141 00:59:05,760 --> 00:59:09,120 Speaker 2: love since I was ten. I think and you've all 1142 00:59:09,160 --> 00:59:11,440 Speaker 2: been wonderful, and I think you like this and I 1143 00:59:11,640 --> 00:59:14,400 Speaker 2: like doing this. I love doing this. We will be 1144 00:59:14,520 --> 00:59:16,680 Speaker 2: back in a year, and I'll get to that in 1145 00:59:16,720 --> 00:59:18,760 Speaker 2: a second. We'll also be back next week. We're going 1146 00:59:18,840 --> 00:59:20,920 Speaker 2: to have better offline radio in New York. I get 1147 00:59:21,000 --> 00:59:22,680 Speaker 2: on a plane to New York on Sunday. It's going 1148 00:59:22,720 --> 00:59:26,640 Speaker 2: to be a complete nightmare, but no exciting. It's an adventure, 1149 00:59:26,800 --> 00:59:29,480 Speaker 2: it is, and I just love cooking. I could probably 1150 00:59:29,520 --> 00:59:32,200 Speaker 2: do another hour of podcasting, but you're thinking, please, please, 1151 00:59:32,360 --> 00:59:35,320 Speaker 2: no more, no more. So we've had too much. But 1152 00:59:35,400 --> 00:59:38,240 Speaker 2: in all seriousness, we're going to be back immediately with 1153 00:59:38,320 --> 00:59:41,560 Speaker 2: Paris Martineau and of course Jeff Jarvis of twit and 1154 00:59:41,640 --> 00:59:44,840 Speaker 2: their various associations. But we are going to be back 1155 00:59:44,880 --> 00:59:47,680 Speaker 2: in a year. And I've learned so many ways to 1156 00:59:47,760 --> 00:59:49,920 Speaker 2: do this. But the biggest lesson I've learned, and that's right, 1157 00:59:50,000 --> 00:59:55,160 Speaker 2: it's friendship, is that everyone came together to support this show. 1158 00:59:55,280 --> 00:59:58,800 Speaker 2: Every single goddamn person who walked into this suite walked 1159 00:59:58,840 --> 01:00:01,480 Speaker 2: in here in ten I'm actually discussing what happened, and 1160 01:00:01,600 --> 01:00:06,360 Speaker 2: everyone was so fucking wonderful. And I think now, of 1161 01:00:06,480 --> 01:00:09,320 Speaker 2: all times, it's really easy to be kind of cynical 1162 01:00:09,400 --> 01:00:12,160 Speaker 2: and definitely pessimistic about the tech industry and say that 1163 01:00:12,320 --> 01:00:16,120 Speaker 2: there's nothing to redeem it really and everything is growth 1164 01:00:16,160 --> 01:00:20,080 Speaker 2: of all costs. But I think that's reductive. I think 1165 01:00:20,120 --> 01:00:24,080 Speaker 2: it's something where you can look at the most powerful 1166 01:00:24,120 --> 01:00:26,360 Speaker 2: people and the things being talked about and lose the magic, 1167 01:00:26,440 --> 01:00:29,360 Speaker 2: which is as fucked up as the algorithms are making 1168 01:00:29,480 --> 01:00:32,680 Speaker 2: things as detached as we might be from whatever social networks. 1169 01:00:32,720 --> 01:00:34,520 Speaker 2: This week has proven, at the very least, that there 1170 01:00:34,560 --> 01:00:37,440 Speaker 2: are human beings that truly love the computer and love 1171 01:00:37,560 --> 01:00:39,720 Speaker 2: the things that they can do with it and the 1172 01:00:39,840 --> 01:00:43,240 Speaker 2: people it connects with. I hope I've given you something 1173 01:00:43,280 --> 01:00:47,520 Speaker 2: in this week, and that's proof of solidarity with your 1174 01:00:47,560 --> 01:00:51,040 Speaker 2: fellow human being and seeing that within this extremely boring, 1175 01:00:51,240 --> 01:00:54,040 Speaker 2: arduous show, at times where most people are lying to 1176 01:00:54,080 --> 01:00:56,360 Speaker 2: you or thinking about ways they could put you in 1177 01:00:56,440 --> 01:00:59,920 Speaker 2: a position to lie to you more egregiously, there are 1178 01:01:00,160 --> 01:01:03,240 Speaker 2: people coming in here who are slightly excited or very 1179 01:01:03,320 --> 01:01:05,840 Speaker 2: excited about a smaller laptop because they're able to use 1180 01:01:05,880 --> 01:01:07,600 Speaker 2: the computer in a different place, so they're able to 1181 01:01:07,680 --> 01:01:09,760 Speaker 2: do more with their lives. And as Ed said, the 1182 01:01:09,840 --> 01:01:12,720 Speaker 2: algorithms he used it he could potentially use for more 1183 01:01:12,800 --> 01:01:15,920 Speaker 2: accurate linguistics, he could learn more about a language. There 1184 01:01:15,960 --> 01:01:19,280 Speaker 2: are many wonderful things that technology can do. And I've 1185 01:01:19,320 --> 01:01:21,120 Speaker 2: been quite emotional, and I think you like it, and 1186 01:01:21,200 --> 01:01:24,600 Speaker 2: I fucking love him, but I'm emotional because I'm surrounded 1187 01:01:24,640 --> 01:01:29,280 Speaker 2: by people who really give a shit. Emotional because every 1188 01:01:29,360 --> 01:01:31,360 Speaker 2: single person that's come through this door, that people running, 1189 01:01:31,520 --> 01:01:33,800 Speaker 2: even the people visiting, have shown that there's not a 1190 01:01:33,920 --> 01:01:37,000 Speaker 2: single half asser in them. There's not a person that 1191 01:01:37,000 --> 01:01:40,080 Speaker 2: I've spoken to who has not deeply and meaningfully cared 1192 01:01:40,080 --> 01:01:43,120 Speaker 2: about something in technology. And there's nothing wrong with you 1193 01:01:43,400 --> 01:01:45,760 Speaker 2: if you truly love what technology has done for you. 1194 01:01:45,960 --> 01:01:49,560 Speaker 2: Nothing about this podcast is about trying to fracture you 1195 01:01:50,280 --> 01:01:52,440 Speaker 2: from the things that you love about it. If you're 1196 01:01:52,480 --> 01:01:55,040 Speaker 2: pissed off, I'm with you about the way it's being done. 1197 01:01:56,120 --> 01:01:58,640 Speaker 2: But what I hope I've shown you in the last 1198 01:01:58,720 --> 01:02:01,640 Speaker 2: week is that there are people that care as much 1199 01:02:01,680 --> 01:02:04,160 Speaker 2: as you do, if not more, people that love it 1200 01:02:04,240 --> 01:02:07,080 Speaker 2: as much as you do, and people who share your 1201 01:02:07,160 --> 01:02:11,040 Speaker 2: frustration with the way things have gone. We will be 1202 01:02:11,120 --> 01:02:13,439 Speaker 2: back next week, and we will be back in twenty 1203 01:02:13,520 --> 01:02:16,120 Speaker 2: twenty six for the Consumer Electronics Show. If you listen 1204 01:02:16,240 --> 01:02:19,320 Speaker 2: this long, I do love you all, and I'm so 1205 01:02:19,520 --> 01:02:29,640 Speaker 2: grateful for you listening to Better Offline. Thank you for 1206 01:02:29,720 --> 01:02:32,360 Speaker 2: listening to Better Offline. The editor and composer of the 1207 01:02:32,400 --> 01:02:35,440 Speaker 2: Better Offline theme song is Matasowski. You can check out 1208 01:02:35,520 --> 01:02:38,440 Speaker 2: more of his music and audio projects at Mattasowski dot 1209 01:02:38,520 --> 01:02:39,400 Speaker 2: com m. 1210 01:02:39,440 --> 01:02:40,440 Speaker 1: A T T O. 1211 01:02:40,720 --> 01:02:44,920 Speaker 2: S O w Ski dot com. You can email me 1212 01:02:45,000 --> 01:02:47,600 Speaker 2: at easy at Better offline dot com or visit better 1213 01:02:47,600 --> 01:02:49,800 Speaker 2: offline dot com to find more podcast links and of 1214 01:02:49,840 --> 01:02:52,960 Speaker 2: course my newsletter. I also really recommend you go to 1215 01:02:53,040 --> 01:02:55,480 Speaker 2: chat dot where's youreaed dot at to visit the discord, 1216 01:02:55,800 --> 01:02:58,040 Speaker 2: and go to our slash Better Offline to check out 1217 01:02:58,120 --> 01:03:00,760 Speaker 2: our reddit. Thank you so much much for listening. 1218 01:03:01,640 --> 01:03:04,280 Speaker 1: Better Offline is a production of cool Zone Media. For 1219 01:03:04,440 --> 01:03:08,080 Speaker 1: more from cool Zone Media, visit our website Coolzonemedia dot com, 1220 01:03:08,560 --> 01:03:11,400 Speaker 1: or check us out on the iHeartRadio app, Apple Podcasts, 1221 01:03:11,520 --> 01:03:12,960 Speaker 1: or wherever you get your podcasts.