WEBVTT - Inside Our AI Future: Report from CES 0:00:01.720 --> 0:00:07.520 Al Zone Media. 0:00:06.120 --> 0:00:10.040 Sweet Baby, Jiminy Christmas, Welcome back to It Could Happen 0:00:10.119 --> 0:00:14.120 Here a podcast. It's normally about all of the sad 0:00:14.160 --> 0:00:18.400 and horrifying and violent and dangerous and sometimes inspiring things 0:00:18.480 --> 0:00:21.720 happening around the world. But this week, well, today is 0:00:21.760 --> 0:00:27.560 about something different. Today We're talking about ces finally, for 0:00:27.680 --> 0:00:29.400 those of you who don't know or who are new 0:00:29.440 --> 0:00:32.960 to the show. Every year in Las Vegas, Nevada, a 0:00:33.159 --> 0:00:35.920 bunch of the world's big tech companies come together for 0:00:36.000 --> 0:00:39.519 the Consumer Electronics Show, where they present their visions for 0:00:39.600 --> 0:00:42.240 the future, the new products that will be coming out 0:00:42.280 --> 0:00:44.080 that year, and stuff that will be coming out and 0:00:44.159 --> 0:00:47.199 used to come that's less developed, and the whole industry 0:00:47.240 --> 0:00:50.879 talks about itself, and Garrison and I show up and 0:00:52.000 --> 0:00:54.920 largely just kind of let it wash over us like 0:00:55.840 --> 0:01:02.480 a warming tide of lukewarm garbage water, fairy lukewarmy, very lukewarm, 0:01:02.600 --> 0:01:06.280 and it smells like someone did not clean their fridge 0:01:06.280 --> 0:01:08.759 out often enough before putting it into the trash. 0:01:08.840 --> 0:01:13.560 That was the feeling of showstoppers tonight, the media only 0:01:14.400 --> 0:01:16.680 presentation on the finest products of CEES. 0:01:16.880 --> 0:01:19.160 Yeah, yeah, why don't we start? So, I mean I mean, 0:01:19.520 --> 0:01:22.320 there's two different things that are interesting about CEES broadly. 0:01:22.360 --> 0:01:24.760 One of them is people bring gadgets that are not 0:01:24.880 --> 0:01:26.960 out yet that it will be coming out this year 0:01:27.080 --> 0:01:29.520 or coming out soon, and you can actually test them 0:01:29.520 --> 0:01:33.160 and use them and see how technology is progressing, and 0:01:33.200 --> 0:01:35.880 that can be kind of fun. The downside of that 0:01:36.040 --> 0:01:39.479 is that people also bring gadgets that are crap. Right, 0:01:39.680 --> 0:01:41.560 some guy has a vision for a way to like, 0:01:42.120 --> 0:01:44.919 you know, there's not a good way for blind people 0:01:45.000 --> 0:01:48.440 to use the pogo stick while watching Netflix, and so 0:01:48.560 --> 0:01:51.080 I have created this product, right, Or like, there's not 0:01:51.200 --> 0:01:54.360 a good way for children to test their blood alcohol 0:01:54.480 --> 0:01:57.120 level before getting behind the wheel of a jeep Grand Cherokee, 0:01:57.200 --> 0:01:59.320 and I have invented the device to make it about 0:01:59.400 --> 0:02:03.840 things that, like I have no conceivable audience or utilization. Right. 0:02:04.080 --> 0:02:06.520 That's the other side of the gadget part of CEES. 0:02:06.600 --> 0:02:08.519 And then outside of that you get a hint at 0:02:08.560 --> 0:02:10.920 like there's all these panels where people from the industry 0:02:10.919 --> 0:02:13.400 come to talk about the major trends in technology, how 0:02:13.400 --> 0:02:15.720 things are developing, and what they see as the future. 0:02:15.760 --> 0:02:18.440 And so there's both here's what they're going to try 0:02:18.480 --> 0:02:20.640 to sell us and here's the devices that might change 0:02:20.680 --> 0:02:23.200 the way we live. And also here's how a bunch 0:02:23.240 --> 0:02:25.960 of the richest, sometimes craziest people in the country you're 0:02:26.000 --> 0:02:28.320 talking about the future. Those are the two things that 0:02:28.400 --> 0:02:31.440 happen at CES and Garrison. You wanted to talk about 0:02:31.440 --> 0:02:35.280 the first the gadgets. The gadgets, the gadgets one as 0:02:35.320 --> 0:02:37.080 you went to the gadget show tonight. I spent my 0:02:37.240 --> 0:02:38.320 entire day in panels. 0:02:38.800 --> 0:02:40.480 Yeah, I mean I did most of the panels in 0:02:40.520 --> 0:02:40.799 the day. 0:02:40.800 --> 0:02:43.400 I didn't really got to watch the show floor on 0:02:43.440 --> 0:02:46.359 the first day, which is which is Tuesday. So instead 0:02:46.360 --> 0:02:49.120 of doing the show floor, I went to show stoppers 0:02:49.120 --> 0:02:53.960 at the Bellagio, which is this presentation of Usually usually 0:02:54.440 --> 0:02:56.880 you know, a collection of gadgets that have won CES 0:02:56.960 --> 0:03:01.120 Innovation Awards, which are on display or for journalists and 0:03:01.200 --> 0:03:04.240 media you can talk to the people behind them choicetoppers. 0:03:04.280 --> 0:03:06.520 This year was a little different. It took place like. 0:03:06.520 --> 0:03:08.400 A in a in like a different venue. Haul was 0:03:08.520 --> 0:03:12.600 smaller than the past few showstoppers years, and I would 0:03:12.639 --> 0:03:15.160 say about forty percent of it with smart glasses. 0:03:16.160 --> 0:03:19.280 Yeah, there's usually like a big product that is like 0:03:19.360 --> 0:03:22.400 this product category is the hot thing. This year, we've 0:03:22.520 --> 0:03:25.399 tried all smart glasses every year, it is that they've 0:03:25.400 --> 0:03:26.200 always had them. 0:03:26.280 --> 0:03:27.040 Every year that. 0:03:27.160 --> 0:03:29.639 We've been doing this, we've done smart glasses, and they've 0:03:29.639 --> 0:03:32.400 always kind of been the same. Maybe the resolution on 0:03:32.480 --> 0:03:36.440 like the text better, like the glasses get a little 0:03:36.440 --> 0:03:38.800 bit smaller, and then this year, yeah, the glasses were 0:03:38.800 --> 0:03:42.360 generally smaller, but for all practical purposes function about the same. 0:03:42.640 --> 0:03:44.720 But there was but ten different smart glasses. Most of 0:03:44.760 --> 0:03:47.880 them could do some kind of like transcription service, could 0:03:47.920 --> 0:03:50.040 have some kind of heads up display. One of them 0:03:50.080 --> 0:03:52.280 was just audio only. It was like an audio audio 0:03:52.320 --> 0:03:55.240 transcriptions like it like it listens to someone else speaking, 0:03:55.280 --> 0:03:57.800 in this case Chinese, and it would translates to me 0:03:58.160 --> 0:04:02.080 to American. Yeah, yeah, translate to American via sound. It 0:04:02.120 --> 0:04:04.240 had speakers. It had speakers, and like the actual you know, 0:04:04.280 --> 0:04:07.040 like the arm of the glasses, the delay was long 0:04:07.160 --> 0:04:09.160 enough that it was you couldn't really keep a conversation 0:04:09.200 --> 0:04:13.320 of a normal speed like the visual translations, which you 0:04:13.360 --> 0:04:15.760 can't actually kind of just talk in full time. But 0:04:15.840 --> 0:04:18.880 the audio only ones were like a smaller profile. The 0:04:18.960 --> 0:04:22.600 visual ones weren't necessarily bulkier, but you can definitely see that. 0:04:22.560 --> 0:04:23.920 There's more hardware inside them. 0:04:24.000 --> 0:04:26.080 Yeah, the thing that I have seen this year which 0:04:26.120 --> 0:04:30.200 is newer, er, maybe not totally new, but incorporating smart 0:04:30.200 --> 0:04:34.240 glasses technology into other types of eyewear, so like swim goggles, 0:04:34.440 --> 0:04:39.040 ski goggles, like outdoor sports stuff. So if you're you know, 0:04:39.279 --> 0:04:42.600 swimming or you're diving and you can't really use your 0:04:42.600 --> 0:04:45.120 phone underwater, you have there's there's a heads up that 0:04:45.240 --> 0:04:48.120 there's a heads up display in like your like Scoopa goggles. 0:04:48.480 --> 0:04:51.240 So that that's that's a new, a newish thing that 0:04:51.279 --> 0:04:51.760 I've seen. 0:04:52.279 --> 0:04:56.160 I've seen like you know, biking glasses, skiing, snowboarding, so 0:04:56.279 --> 0:04:59.680 that that's the kind of one one slight change. But 0:04:59.839 --> 0:05:02.480 in besides that, it's basically five different smart glasses which 0:05:02.520 --> 0:05:05.880 are for all pactal purposes identical right to each other. 0:05:06.160 --> 0:05:09.240 Yeah, I mean, and that I think is kind of 0:05:09.240 --> 0:05:11.760 one of the things that I've watched happen over the 0:05:12.440 --> 0:05:15.240 fifteen years almost that I've been going to cess or 0:05:15.240 --> 0:05:18.760 cess whichever is more accurate, which is, you know, when 0:05:18.800 --> 0:05:21.240 I first started coming, the smartphone era was new, and 0:05:21.279 --> 0:05:23.600 then we had like the tablet era after that, and 0:05:23.640 --> 0:05:26.040 so there was a lot of like you would have 0:05:26.120 --> 0:05:29.240 dozens of manufacturers making different devices, and every year there 0:05:29.279 --> 0:05:32.280 were very different capability. For the first few years, smartphones 0:05:32.320 --> 0:05:35.640 were out advanced very rapidly, and that was really exciting, 0:05:35.680 --> 0:05:39.719 and the conventionally thrived on that as the number of 0:05:39.760 --> 0:05:42.680 new device categories of winnowed down and the difference like 0:05:42.760 --> 0:05:45.159 I'm not excited when I get a phone anymore now 0:05:45.240 --> 0:05:45.920 there's anyone I. 0:05:45.880 --> 0:05:48.000 Know, because it's like no, usually I'm actually kind of 0:05:48.200 --> 0:05:49.120 yeah more sad. 0:05:49.240 --> 0:05:49.440 Yeah. 0:05:49.520 --> 0:05:49.680 Yeah. 0:05:49.800 --> 0:05:51.240 The only thing that's exciting is like, well, my old 0:05:51.279 --> 0:05:52.960 phone was literally not working anymore. 0:05:53.040 --> 0:05:55.840 Yeah the phone work, the battery has been completely destroyed. 0:05:55.880 --> 0:05:57.800 Yeah the battery works now or whatever. But it's not 0:05:57.839 --> 0:06:01.119 like the cameras are not ce changes better. Generally, nothing 0:06:01.240 --> 0:06:03.880 is like you're not getting a lot more out of 0:06:03.920 --> 0:06:06.400 it than you used to. And the same mystruy of 0:06:06.440 --> 0:06:09.480 like laptops, i mean, graphics cards just because of the 0:06:10.480 --> 0:06:13.280 data center crunch, like that's not nearly as exciting a 0:06:13.320 --> 0:06:15.760 technology category for consumers as it used to be. So 0:06:16.279 --> 0:06:20.000 this stuff is just like less less sexy, and yeah, 0:06:20.320 --> 0:06:21.960 it just kind of shows that we're at a point 0:06:21.960 --> 0:06:23.960 where kind of one of the only spaces where they 0:06:24.000 --> 0:06:26.039 are still making improvements and where there's a lot of 0:06:26.040 --> 0:06:27.960 competition in the market is smart glasses. 0:06:28.160 --> 0:06:31.000 Yeah, I mean that's like the wearables category in general, Yeah, 0:06:31.000 --> 0:06:35.159 which was mentioned. I went to the Consumer Technology Association 0:06:35.440 --> 0:06:38.800 like keynote panel this morning, which is the group that 0:06:38.880 --> 0:06:42.400 puts on cees, and they mentioned only only a few products, 0:06:42.440 --> 0:06:45.560 but one of them we're smart glasses. And then also 0:06:45.640 --> 0:06:49.360 like wearables in general, like AI powered wearables and now 0:06:49.400 --> 0:06:53.680 like wearable technology. You know, it's like smart watches, rings, necklaces, 0:06:53.720 --> 0:06:56.160 whatever are going to make like a big comeback now 0:06:56.200 --> 0:06:59.039 that now that AI is a lot is a lot 0:06:59.080 --> 0:07:02.920 more intelligent, and it used to be in particular at 0:07:02.920 --> 0:07:06.080 the CEES Like big keynote Tuesday morning, you mentioned a 0:07:06.120 --> 0:07:09.880 persona smart tutor glasses glasses to help you, you know, 0:07:09.960 --> 0:07:12.480 well learning. I haven't tried to be able to check 0:07:12.480 --> 0:07:14.400 out the product yet, but they kind of remind me 0:07:14.440 --> 0:07:17.960 of some of the concept behind those cleuely glasses that 0:07:18.000 --> 0:07:20.520 you may have seen on social media, the. 0:07:20.480 --> 0:07:21.640 Glasses that help you like cheat. 0:07:21.960 --> 0:07:25.600 Yeah, but also somebody who's like we should embrace people cheating. 0:07:25.280 --> 0:07:28.280 And but cheat just in a conversation, it seems like 0:07:28.280 --> 0:07:32.080 that product isn't necessarily as real as uh what the 0:07:32.200 --> 0:07:33.720 video might make it out to be. 0:07:33.880 --> 0:07:37.120 People whose company was based on lying didn't make a 0:07:37.160 --> 0:07:37.840 real product. 0:07:38.000 --> 0:07:40.880 But well, walking through your Eureka Park today, it's funny. 0:07:40.880 --> 0:07:43.840 I also saw this this product in one of like 0:07:43.880 --> 0:07:45.920 the National Pavilions I think it was the one of 0:07:45.960 --> 0:07:49.880 like the japan Tech Pavilions. AI powered tool to help 0:07:50.160 --> 0:07:52.680 to help prevent cheating while test taking. So you have 0:07:53.000 --> 0:07:56.080 AI powered tools that will monitor you to make sure 0:07:56.120 --> 0:07:56.840 you're not cheating. 0:07:56.840 --> 0:07:58.960 Will you use an AI powered tool that helps. 0:07:58.760 --> 0:08:00.880 Cheat cheat it? Yeah? Better at school? 0:08:00.960 --> 0:08:03.520 Yeah, that's kind of just a good representation of kind 0:08:03.560 --> 0:08:05.520 of where where this whole industry is at at the moment. 0:08:05.800 --> 0:08:06.240 Yeah. 0:08:06.480 --> 0:08:08.280 In some ways, I think, you know, this is probably 0:08:08.280 --> 0:08:12.240 what year three of AI being you know, the big thing, 0:08:12.280 --> 0:08:14.960 whether that's unwearables, you know, where that's smart glasses, whether 0:08:14.960 --> 0:08:18.360 that's you know, a generative AI, whether that's AI. You know, 0:08:19.240 --> 0:08:22.600 but it's been but a has been been, like you know, 0:08:22.880 --> 0:08:26.520 the added of property for for everything, and some of 0:08:26.560 --> 0:08:28.720 that might be starting to kind of tucker out or 0:08:28.760 --> 0:08:33.320 at least the they've taken the victory lap. And there's 0:08:33.360 --> 0:08:35.600 there's a certain like you know, like cultural victory that 0:08:35.600 --> 0:08:38.160 that they're resting on whether they're starting to put some 0:08:38.240 --> 0:08:41.640 of their eggs in other baskets now, which certainly wasn't 0:08:41.640 --> 0:08:42.480 the case last year. 0:08:42.960 --> 0:08:46.080 No, and I I got a sense I attended six 0:08:46.120 --> 0:08:50.240 panels today, congratulations. It was a mix of like advertising people, 0:08:51.000 --> 0:08:56.000 entertainment associated people, some journalism associated people, and in robotics, 0:08:56.000 --> 0:08:57.920 people in robotics talking about a lot of a lot 0:08:57.920 --> 0:08:59.960 of robodies. Yeah, what they saw was the future of AI, 0:09:00.640 --> 0:09:03.760 and there was a lot of focus first on AI 0:09:03.880 --> 0:09:05.760 is not going to be taking jobs as much as 0:09:05.760 --> 0:09:08.560 it's going to be augmenting jobs, right, Although you would 0:09:08.559 --> 0:09:10.480 get the occasional person be like, I's going to take 0:09:10.520 --> 0:09:12.200 a lot of jobs, I got. 0:09:12.120 --> 0:09:14.600 People saying that it's it's only going to take jobs 0:09:14.600 --> 0:09:17.240 if if you don't know how to incorporate AI into 0:09:17.280 --> 0:09:20.320 your workfloce. And that's the argument at the moment right now. Yeah, 0:09:21.160 --> 0:09:23.480 if you're not using AI, you're a greater risk of 0:09:24.120 --> 0:09:24.800 you losing So. 0:09:24.800 --> 0:09:28.360 You better get on it, right, start start learning it. Yes, Yes. 0:09:28.520 --> 0:09:30.680 And then the other thing is that there was a 0:09:30.679 --> 0:09:32.920 lot of like it's there to help or take away 0:09:32.960 --> 0:09:36.120 unpleasant tasks from workers, but really emphasizing the it's not 0:09:36.240 --> 0:09:38.960 your enemy thing, you don't need to be scared. And 0:09:39.000 --> 0:09:42.680 I quoted like half of these panels, people would quote 0:09:42.679 --> 0:09:46.320 statistics about low user trust and AI and the fact 0:09:46.360 --> 0:09:50.960 that people are generally not super comfortable with this technology 0:09:50.960 --> 0:09:53.600 even if they use it in parts of their work 0:09:53.640 --> 0:09:56.640 life right or daily life. And so what I saw 0:09:56.679 --> 0:09:58.360 from that, when I interpret from that, is that there 0:09:58.400 --> 0:10:00.360 is internal concern that like that that's one of the 0:10:00.400 --> 0:10:02.200 things that could screw the pooch on this is that 0:10:02.240 --> 0:10:05.600 people are not really sure they like this stuff, and 0:10:06.000 --> 0:10:10.400 so there's this impulse to kind of cover the softer 0:10:10.520 --> 0:10:13.720 and fuzzier sides of it that I didn't see in 0:10:13.840 --> 0:10:16.720 previous years. Yeah, and I think is really focusing on 0:10:17.559 --> 0:10:20.520 this is just making things you already like better, as 0:10:20.520 --> 0:10:23.960 opposed to this is a revolution that's completely changing life. 0:10:24.679 --> 0:10:28.719 And to the extent where AI was fremous revolutionary, it 0:10:28.760 --> 0:10:32.679 was specifically trying to ground it in like physical applications, 0:10:32.720 --> 0:10:36.000 as opposed to this more general kind of like spectral 0:10:36.120 --> 0:10:38.199 like AI hype that we've seen the past few years, 0:10:38.240 --> 0:10:40.760 which is in specifically around like generative AI right where 0:10:40.760 --> 0:10:42.520 it's like this like kind of vague thing that we 0:10:42.640 --> 0:10:46.560 like gestured to there's more specific applications for AI being 0:10:46.600 --> 0:10:48.960 talked about right now, and they talked talked about like 0:10:49.240 --> 0:10:55.920 AI assisted manufacturing simulations like digital twins of factories, shipyards, 0:10:55.960 --> 0:10:59.000 power plants, a lot of digital twin talk building you know, 0:10:59.080 --> 0:11:03.000 a digital replica of like everything you know of society, 0:11:03.040 --> 0:11:06.400 to like run these simulations to both make AIS smarter, 0:11:06.800 --> 0:11:10.040 to generate new solutions outside of the limitations of a 0:11:10.120 --> 0:11:13.680 language model, also find you know, potential problems in you know, 0:11:13.800 --> 0:11:15.280 when you build these things physically. 0:11:15.760 --> 0:11:17.240 Yeah, that was something that was brought up during the 0:11:17.320 --> 0:11:20.280 robotics panel, which was talking about how to like take 0:11:21.120 --> 0:11:23.760 the machine learning technology and other things that are generally 0:11:23.760 --> 0:11:26.439 grouped under AI and apply it in the physical world. 0:11:26.800 --> 0:11:30.240 Yeah, manufacturing, I've had done so much right in just 0:11:30.320 --> 0:11:33.079 one day. I probably I've heard the word manufacturing more 0:11:33.080 --> 0:11:36.959 today than I have most in every cees I've been 0:11:37.000 --> 0:11:39.160 to previously, combined. 0:11:38.760 --> 0:11:41.960 And I think consciously more focused on industrial applications than 0:11:42.000 --> 0:11:45.440 on consumer technology because there's not that much new to 0:11:45.480 --> 0:11:48.480 give the consumer right and they are also I think 0:11:48.520 --> 0:11:51.720 starting to recognize that you can get people using chat, 0:11:51.760 --> 0:11:54.840 GPT and the like, but they're mostly not using it, 0:11:54.880 --> 0:11:56.920 and the data backs this up. People are mostly using 0:11:56.920 --> 0:11:59.640 it at work and for school and gin z a lot. 0:12:00.440 --> 0:12:02.400 There's a lot of people who are doing like their 0:12:02.440 --> 0:12:05.000 research on like what to buy and whatnot through using 0:12:05.080 --> 0:12:07.960 chat GPT. But there's not a lot that you can 0:12:08.000 --> 0:12:12.439 sell people in CES because it's an app and there's 0:12:12.480 --> 0:12:15.679 not a ton of different devices for it. People are 0:12:15.720 --> 0:12:17.520 using it on their phone, they're using it on their computer, 0:12:17.640 --> 0:12:19.280 but like none of the new phones and computers are 0:12:19.320 --> 0:12:22.520 marketly better at using chat GPT or another you know, 0:12:22.640 --> 0:12:24.800 chatbot thing than any of the others. So there's not 0:12:24.880 --> 0:12:28.640 a lot that's sexy in just that at CES. So 0:12:28.679 --> 0:12:32.520 I think I have seen this conscience reforming around people 0:12:32.600 --> 0:12:35.360 in manufacturing and people who are like thinking of the 0:12:35.400 --> 0:12:38.760 concerns of like I have a pair like an exoskeleton 0:12:38.800 --> 0:12:40.720 to test this week. That's seeing a lot of its 0:12:40.720 --> 0:12:44.920 business in folks who are like doing like Amazon type 0:12:44.960 --> 0:12:47.640 jobs right loading and unloading packages and whatnot all day long, 0:12:47.800 --> 0:12:50.439 you know. And I do see a conscious reforming there, 0:12:50.480 --> 0:12:52.680 which I think is kind of evidence of like there's 0:12:52.679 --> 0:12:54.800 almost an admission that like, yeah, we don't really have 0:12:54.840 --> 0:12:59.360 that much to hand consumers anymore. On a yearly. 0:12:59.120 --> 0:13:10.480 Basis speaking of handing things to consumers ads. 0:13:15.280 --> 0:13:18.120 So the first panel I went to of the day 0:13:18.520 --> 0:13:21.640 was about the funnel, which, as I understand it is 0:13:21.679 --> 0:13:25.120 just kind of like the way in which people have 0:13:25.280 --> 0:13:29.920 traditionally engaged with like media, gotten advertised to and then 0:13:30.040 --> 0:13:32.320 like gone to stores and bought stuff like the funnel 0:13:32.360 --> 0:13:35.560 by which you like make a customer, and how that's 0:13:35.600 --> 0:13:38.520 been completely blown up now, right, and AI is like 0:13:38.559 --> 0:13:42.080 a further massive disruption because people are not like people 0:13:42.160 --> 0:13:45.240 are increasingly, especially very young people, which was putted out 0:13:45.240 --> 0:13:47.720 in a number of these are like buying stuff that 0:13:47.840 --> 0:13:50.679 a chatbot recommends them, right, And so a lot of 0:13:50.720 --> 0:13:53.840 marketing is being seen as being done through how do 0:13:53.920 --> 0:13:56.800 you get the chatbot to talk about you a certain way? 0:13:56.840 --> 0:14:00.200 What is the SEO of getting chat ebt? Oh, it's interesting, 0:14:00.240 --> 0:14:01.560 like right, there's a lot of time I. 0:14:01.760 --> 0:14:04.560 Thought, as someone who's not a regular chatbot user, which 0:14:04.559 --> 0:14:06.400 I'm sure must people here am I, which chastis me 0:14:06.480 --> 0:14:09.680 for we're not maximizing my productivity. 0:14:09.240 --> 0:14:11.080 And meaning to get on to you for that garrison. 0:14:12.400 --> 0:14:14.720 There's not a regular chat about user. I've never thought 0:14:14.720 --> 0:14:16.600 of that before. Of yeah, I mean, like I know 0:14:16.640 --> 0:14:19.360 people use these chatbots as a replacement for search engines, 0:14:19.400 --> 0:14:21.520 But the idea of like trying to you know, evaluate 0:14:21.720 --> 0:14:25.240 purchases is uh. I mean, I guess that makes sense now, 0:14:25.280 --> 0:14:26.400 but I've never put that together. 0:14:26.600 --> 0:14:28.920 Yeah, And the only because there was a lot of 0:14:29.080 --> 0:14:32.720 talking about like how AI is helping advertisers, how it's 0:14:33.160 --> 0:14:36.520 making advertisements, how like it's helping in the process of that, 0:14:36.640 --> 0:14:39.520 And there was a focus in all the panels about 0:14:39.560 --> 0:14:42.080 that on how like, well, it's just augmenting the humans. 0:14:42.600 --> 0:14:46.280 But the only specific examples given were the McDonald's and 0:14:46.560 --> 0:14:50.360 Coca Cola AI generated ads, which were both disasters. I 0:14:50.400 --> 0:14:53.800 mean the McDonald's one in the Netherlands got removed. Yeah, 0:14:53.880 --> 0:14:54.760 they people so bad. 0:14:54.840 --> 0:14:57.400 They withdrew the attic so ugly. 0:14:57.440 --> 0:14:59.600 Deed. Yeah, I don't know. Coke did do it twice. 0:15:00.040 --> 0:15:02.440 Maybe they consider it a win. But everything I saw 0:15:02.520 --> 0:15:04.400 was very negative. I didn't see a lot of positive 0:15:04.400 --> 0:15:08.520 feedback on Coca Cola visavi. They're weird. AI holidays are coming. 0:15:08.320 --> 0:15:10.600 At It's like people who don't know it's AI think 0:15:10.840 --> 0:15:13.080 feel very neutral about it. Yeah, people that do we 0:15:13.160 --> 0:15:15.840 know it's AI, I think generally have negative reactions. 0:15:15.920 --> 0:15:17.720 I think if you look at it, it's pretty clear. 0:15:17.720 --> 0:15:19.840 But anyway, I mean, it less clear if maybe you're 0:15:19.880 --> 0:15:22.000 like a sixty year old watches. 0:15:21.720 --> 0:15:25.160 You know, exact or in between stuff, and that's all 0:15:25.360 --> 0:15:25.960 good enough. 0:15:26.280 --> 0:15:29.360 Grandpa, don't go Internet, right, Yeah, he doesn't know. 0:15:29.480 --> 0:15:31.920 He might notice some of those those fucking h polar 0:15:31.960 --> 0:15:34.480 bears have the wrong number of pause. But yeah, so, 0:15:34.600 --> 0:15:35.960 like there was some talk of that and the other. 0:15:36.040 --> 0:15:38.480 The only specific example they gave of like an AI 0:15:39.120 --> 0:15:43.520 enhanced strategy was Allegra. The people who own like the 0:15:43.600 --> 0:15:46.240 medicine had like a new non drowsy formula or they 0:15:46.280 --> 0:15:48.600 just wanted to highlight that it was non drowsy. So 0:15:48.640 --> 0:15:53.320 they basically had a bunch of like seeded the stuff 0:15:53.360 --> 0:15:56.200 that chatbot that like open Ai was scored that chatbots 0:15:56.200 --> 0:15:59.720 were scraping, yeah, with content about how Allegra makes it 0:15:59.760 --> 0:16:03.680 is on drowsy and about how like competing similar medications 0:16:03.680 --> 0:16:05.800 make you drowsy, I mean, so that it would get 0:16:05.840 --> 0:16:10.480 mentioned in like and they talked about They called it 0:16:10.560 --> 0:16:12.960 like model hacking, I think was the exact term used. 0:16:13.440 --> 0:16:15.120 And that was the only thing that was the only 0:16:15.160 --> 0:16:17.600 specific example that I can't know any of this works too, 0:16:17.680 --> 0:16:19.760 Like everyone else was just talking in vague terms about 0:16:19.760 --> 0:16:23.640 like and we've really seen our teams creativity sore or whatever. 0:16:23.800 --> 0:16:26.640 That's interesting, you know because the way that I probably 0:16:26.720 --> 0:16:29.200 use or exposed to AI the most is like on 0:16:29.240 --> 0:16:31.280 like Google Search now, which has you know, it's it's 0:16:31.280 --> 0:16:34.560 like AI like summaries instead of like actual search results. 0:16:34.800 --> 0:16:36.840 But those are based on like which you. 0:16:36.760 --> 0:16:39.160 Can type minus AI in with the search results if 0:16:39.160 --> 0:16:40.240 we want to cut that stuff out. 0:16:40.440 --> 0:16:43.600 But those AI results are you know, pulling from certain 0:16:43.600 --> 0:16:46.360 like articles which which they'll link to. So yeah, I 0:16:46.360 --> 0:16:47.920 guys said, if I was trying to design it like 0:16:47.920 --> 0:16:51.560 an AI marketing strategy, I would I would either you know, 0:16:51.920 --> 0:16:55.600 pay publications to mention my product in more articles or 0:16:56.400 --> 0:16:58.760 find find out find other ways to to to influence 0:16:58.800 --> 0:17:02.080 mentions of of my product in like written media that 0:17:02.240 --> 0:17:04.600 then would be used as like training data for AI. 0:17:05.280 --> 0:17:07.520 And yeah, I guess there there can be a whole 0:17:07.600 --> 0:17:11.760 you know, search engine optimization model acking is I guess. 0:17:12.000 --> 0:17:16.200 Model optimism or yeah, like product opposite optimization for a model. 0:17:16.240 --> 0:17:19.200 I guess that's funny, but yeah, like the So the 0:17:19.680 --> 0:17:22.000 first talk that I went to was about the funnel 0:17:22.080 --> 0:17:23.840 or whatever, and one of the people speaking. There was 0:17:23.880 --> 0:17:27.359 the CMO, the chief marketing officer of Intuit, which is 0:17:27.400 --> 0:17:30.040 the company that owns Turbo tax right like, it's one 0:17:30.040 --> 0:17:33.680 of the big we do your taxes companies out there, 0:17:33.680 --> 0:17:37.000 and also a lobbyer in terms of stopping any sort 0:17:37.000 --> 0:17:38.399 of a form of make it's that you don't need 0:17:38.400 --> 0:17:40.520 to do your own other countries. 0:17:40.520 --> 0:17:42.760 Credit score monitoring, yes, a whole bunch of. 0:17:42.720 --> 0:17:44.840 Stuff, all that kind of stuff. So this this guy, 0:17:44.880 --> 0:17:47.720 the CMO of the company, Thomas Renize, was part of 0:17:47.720 --> 0:17:50.680 this the end of the funnel speech, and he made 0:17:50.680 --> 0:17:52.280 a couple of comments that I took note of. One 0:17:52.359 --> 0:17:55.360 is product is brand and brand is product full stop. 0:17:55.800 --> 0:17:57.879 So the more people you can make experience your product, 0:17:58.000 --> 0:18:01.359 that's the best selling point and value of right which 0:18:01.600 --> 0:18:03.199 it was just interesting to me in terms of the 0:18:03.520 --> 0:18:05.479 into it as a company that has lobbied to make 0:18:05.520 --> 0:18:08.280 it impossible for like any reform that would allow people 0:18:08.320 --> 0:18:12.000 to not need a third party to do there they're taxes. 0:18:12.359 --> 0:18:14.520 But also this idea that like product is brand and 0:18:14.560 --> 0:18:17.919 brand is product isn't true of a lot of companies. 0:18:17.960 --> 0:18:20.639 Like if you think about like, for example, like a 0:18:20.680 --> 0:18:23.080 lot of the different soft drinks are all owned by 0:18:23.119 --> 0:18:26.159 one company, but they're fundamentally different like products and have 0:18:26.240 --> 0:18:29.600 an often cases like a different user base, and it's 0:18:29.760 --> 0:18:31.920 very like, it's a very tech when your product is 0:18:31.960 --> 0:18:35.040 a concept, Like you can't do your own taxes because 0:18:35.040 --> 0:18:36.840 it's a pain in the ass, but the government doesn't 0:18:36.880 --> 0:18:38.880 do it for you because we lobby to make that illegal. 0:18:39.359 --> 0:18:39.439 Like. 0:18:40.080 --> 0:18:42.399 I found that interesting and it kind of got me 0:18:43.040 --> 0:18:46.679 angry at Thomas at the start of this. And I 0:18:46.880 --> 0:18:50.479 was particularly interested in one of the things he brought up, 0:18:50.480 --> 0:18:52.520 which is that he talked about the one hundred million 0:18:52.560 --> 0:18:55.040 dollars that into It is putting into open Ai, and 0:18:55.080 --> 0:18:56.879 they're putting this into open Ai as part of a 0:18:56.960 --> 0:19:00.800 multi year partnership. And I want to qu vote from 0:19:00.920 --> 0:19:05.800 an article in the website Araptus which is discussing this 0:19:05.920 --> 0:19:08.440 exact thing that I found useful when I was formulating 0:19:08.440 --> 0:19:11.359 my question for Thomas. The contract was to embed AM 0:19:11.400 --> 0:19:14.840 models directly into QuickBooks, TurboTax, and credit Karma. The promise 0:19:14.880 --> 0:19:18.840 AI assistants that can generate invoices, provide tax extments, recommend loans, 0:19:19.119 --> 0:19:22.760 and help you make informed financial decisions. Right. That may 0:19:22.800 --> 0:19:25.960 sound like kind of like a basic move, like's what's 0:19:26.160 --> 0:19:30.080 so sketchy about just integrating like an AI chatbot to 0:19:30.080 --> 0:19:32.679 make it easier to use your tax software. It can 0:19:32.720 --> 0:19:36.680 be complicated and hard to use as anyway. But kind 0:19:36.680 --> 0:19:39.639 of the necessary part of this is if you are 0:19:39.800 --> 0:19:42.680 if you're doing this, if you're integrating all of these 0:19:42.720 --> 0:19:46.920 different tax and credit programs into an AI model, you're 0:19:46.960 --> 0:19:50.600 giving that AI model access to people's financial data in 0:19:50.680 --> 0:19:55.000 a tremendous amount of detail, right, And all of these 0:19:55.040 --> 0:19:58.760 AI models have a massive shared vulnerability, which is a 0:19:58.840 --> 0:20:03.120 vernability to something called called prompt injection, right. And that's when, 0:20:03.119 --> 0:20:05.840 for example, say someone is a customer of a tax 0:20:05.880 --> 0:20:08.359 prepared that uses one of into its products to prepare 0:20:08.359 --> 0:20:11.160 taxes for its customers, and this person sends an invoice 0:20:11.160 --> 0:20:14.879 into the company that has hidden text in it that 0:20:15.000 --> 0:20:17.399 is a command to the language model that will be 0:20:17.480 --> 0:20:22.800 scraping this and uploading it to basically open up and 0:20:22.880 --> 0:20:26.080 send over a bunch of customer data to a specific source. 0:20:26.640 --> 0:20:29.400 That's a thing that you can do. It's called prompt injection, 0:20:29.960 --> 0:20:32.440 and there's not really a way to counter it. There's 0:20:32.480 --> 0:20:36.240 not like a proven comprehensive defense against this sort of thing. 0:20:36.960 --> 0:20:40.240 And so there's this massive vulnerability, and this was first 0:20:40.240 --> 0:20:42.760 brought up in an article on the website. I cited 0:20:43.040 --> 0:20:47.080 a raptus by Chris Black, who's a security researcher an expert, 0:20:47.480 --> 0:20:50.359 and I want to read a quote from his article 0:20:50.440 --> 0:20:53.680 about this. There are no proven comprehensive defenses against prompt 0:20:53.720 --> 0:20:57.080 injection when not if an AI powered financial tool leaks 0:20:57.080 --> 0:20:59.960 customer data through a prompt injection attack, who is liable 0:21:00.080 --> 0:21:02.679 the company using quick books into it open Ai? The 0:21:02.760 --> 0:21:06.080 regulations weren't written for this scenario. So I decided to 0:21:06.080 --> 0:21:09.200 ask that question of Thomas, being like the chief marketing officer, 0:21:09.240 --> 0:21:12.159 I figured, well he should have some answer to like 0:21:12.480 --> 0:21:15.359 what do you have, what sort of security measures do 0:21:15.440 --> 0:21:17.800 you have to mitigate the risk of a prompt injection attack? 0:21:18.480 --> 0:21:20.960 And who do you see as being responsible? If you 0:21:21.040 --> 0:21:24.679 are the ones providing customer data to open ai and 0:21:24.720 --> 0:21:26.800 their tool gets it by a prompt injection attack, are 0:21:26.840 --> 0:21:29.320 you responsible? Is open ai is a third party that 0:21:29.400 --> 0:21:31.760 might be using your products? And he had no answer 0:21:31.760 --> 0:21:33.960 to this. He like, his only answer when we were 0:21:33.960 --> 0:21:36.560 on stage was like, we're talking with open ai about it, 0:21:36.600 --> 0:21:39.720 which like, well, you're already in the process of collaborating 0:21:39.760 --> 0:21:40.120 with them. 0:21:40.680 --> 0:21:44.159 Yeah, I have a question for Thomas. I was kind 0:21:44.200 --> 0:21:47.199 of concerned when reading about into it assists that a 0:21:47.600 --> 0:21:50.560 open AI is going to have read and write access 0:21:50.680 --> 0:21:55.720 to quite a lot of financial information from users, which 0:21:55.920 --> 0:21:58.760 opens up a vulnerability for a prompt injection. Right, you 0:21:58.840 --> 0:22:01.080 have the possibility that people who can hide things and 0:22:01.119 --> 0:22:04.640 invoices that are then being uploaded that will cause the 0:22:04.680 --> 0:22:09.439 AI to provide the malicious user with financial details for 0:22:09.640 --> 0:22:14.240 individuals or corporations. And I guess my primary question here 0:22:14.400 --> 0:22:18.880 this seems like a major liability issue when somebody's information 0:22:19.000 --> 0:22:21.639 gets rerouted to a place that's not supposed to go 0:22:21.720 --> 0:22:22.800 to a malicious actor. 0:22:23.520 --> 0:22:24.600 Who's responsible. 0:22:25.240 --> 0:22:29.680 You're taking the value of integrity and protecting our customer 0:22:29.760 --> 0:22:33.600 data privaly seriously over our entire lives. And that's what 0:22:33.840 --> 0:22:36.320 forty years as a company and meeting in the software 0:22:36.359 --> 0:22:39.160 space for financial services. So this is not something we're 0:22:39.160 --> 0:22:42.200 about to use it in any way in the new 0:22:42.240 --> 0:22:44.040 age of AI. In fact, it has to get even 0:22:44.119 --> 0:22:47.439 more and more level down of protecting people's information and 0:22:47.520 --> 0:22:50.440 security of edforation. So that is something that we are 0:22:50.600 --> 0:22:53.080 already in the conversations with open AI have a nation 0:22:53.200 --> 0:22:56.080 about that group, no matter where we're starving. 0:22:57.480 --> 0:22:59.679 And when I kind of cornered him afterwards, he didn't 0:22:59.680 --> 0:23:01.840 have like his eventual follow up answers like I don't 0:23:01.880 --> 0:23:03.560 know that kind of stuff, and like you are the 0:23:03.640 --> 0:23:05.320 chief marketing officer. 0:23:05.280 --> 0:23:06.680 Thank you again for answering my question. 0:23:06.840 --> 0:23:07.680 Sure, your question. 0:23:08.000 --> 0:23:11.680 I'm still really concerned about the danger of prompt injection 0:23:11.800 --> 0:23:16.560 attacks revealing financial data, and it doesn't still sound like 0:23:16.640 --> 0:23:19.080 there's an understanding of who will be liable. 0:23:20.840 --> 0:23:22.160 To answer that question for you. 0:23:22.200 --> 0:23:23.600 So I mean, like I can tell you that we're 0:23:23.680 --> 0:23:26.640 coming into our security and privacy and we are doing. 0:23:26.480 --> 0:23:28.879 Everything we can to protect that. I feel a lot 0:23:28.920 --> 0:23:30.359 writing on it, as you might imagine. 0:23:30.400 --> 0:23:33.240 Well, yeah, it's every digital security expert I've talked to 0:23:33.359 --> 0:23:36.200 says it's a matter of when, not if, that there 0:23:36.320 --> 0:23:38.680 is financial data revealed. 0:23:38.280 --> 0:23:41.960 By these attacks. It seems like understanding. 0:23:43.440 --> 0:23:44.920 I'm just I'm not going to be the expert to 0:23:44.920 --> 0:23:46.160 get into the details on that. 0:23:46.320 --> 0:23:52.280 Okay, Yeah, A key part of marketing this should be 0:23:52.280 --> 0:23:55.280 being able to tell people what kind of safety precautions 0:23:55.320 --> 0:23:58.439 are being taken with their data. And the fact that 0:23:58.480 --> 0:24:00.840 he didn't and clearly had never thought about any of 0:24:00.880 --> 0:24:02.400 this stuff and I had a couple of different people 0:24:02.400 --> 0:24:05.120 come up to me afterwards and like be like, Wow, 0:24:05.160 --> 0:24:07.480 that was a really good question. And I was like, well, 0:24:07.960 --> 0:24:11.480 why hasn't this been asked before? Like why is this 0:24:11.520 --> 0:24:13.119 a thing where like some guy's blogging about it and 0:24:13.160 --> 0:24:14.560 I'm asking you about it and you don't have an 0:24:14.600 --> 0:24:17.000 answer to it, and you're the CEO of one of 0:24:17.080 --> 0:24:20.200 like the largest tax prep the largest tax prep company 0:24:20.760 --> 0:24:24.480 in the country. Like it's just it's emblematic of how 0:24:24.840 --> 0:24:30.000 careless everyone adjacent to this industry is, which personal data 0:24:30.400 --> 0:24:33.600 with the safety of people, end of society as a 0:24:33.640 --> 0:24:36.000 result of like what their products are doing, Like there's 0:24:36.119 --> 0:24:39.800 absolutely no consideration given the harms of any of this shit. 0:24:39.920 --> 0:24:42.720 And it's it's the most consistently dispiriting part of showing 0:24:42.760 --> 0:24:45.840 up at CES. Well what is right? 0:24:46.119 --> 0:24:47.040 What a fun story? 0:24:47.119 --> 0:25:01.639 That is? All right? We're back. So one of the 0:25:01.680 --> 0:25:03.920 other things that's been a major topic on the panels 0:25:03.920 --> 0:25:05.679 I went to and is generally a big thing at 0:25:05.720 --> 0:25:09.040 CES this year and in tech this year is agentic 0:25:09.080 --> 0:25:12.240 AI or agents. Right, the idea that you have an 0:25:12.240 --> 0:25:14.720 AI that you can send off to like book a 0:25:14.720 --> 0:25:16.600 flight for you, and it doesn't just like find a 0:25:16.640 --> 0:25:18.639 flight that it searches for and be like, hey, this 0:25:18.720 --> 0:25:21.000 looks good. It like actually books it for you and 0:25:21.359 --> 0:25:24.080 handles all of that. Right. This has been one of 0:25:24.119 --> 0:25:26.600 the big promises of AI, not just for like flights, 0:25:26.600 --> 0:25:29.160 but that you can have like an actual digital assistant 0:25:29.160 --> 0:25:31.800 that persistently remembers all of your shit and can book 0:25:31.800 --> 0:25:34.879 stuff for you and handle like the pain in the 0:25:34.920 --> 0:25:37.440 ass nitty gritty. If you say, like, hey, I need 0:25:37.480 --> 0:25:39.920 you to find a restaurant within like this four block 0:25:40.040 --> 0:25:44.480 radius that has seven seats open at eight pm and 0:25:44.840 --> 0:25:47.760 abides by these dietary restrictions, you kind of just have 0:25:47.800 --> 0:25:50.600 to slog through figuring that out right now. And the 0:25:50.680 --> 0:25:53.240 idea is an agent can do that for you, and 0:25:53.320 --> 0:25:56.440 currently none of them can, right. This is a thing 0:25:56.520 --> 0:26:00.720 that is changing, like the performance of different agents are 0:26:00.840 --> 0:26:04.520 changing over time. But it is still very unclear. If 0:26:04.560 --> 0:26:06.399 you're not somebod who's fully bought into the kool aid, 0:26:06.440 --> 0:26:09.200 I'll say it's very unclear where these things will top 0:26:09.280 --> 0:26:12.080 out at. And there was a good article in futurism 0:26:12.320 --> 0:26:14.480 recently and I want to quote from it right now. 0:26:14.800 --> 0:26:17.560 Researchers at Carnegie Mellen University found earlier this year that 0:26:17.640 --> 0:26:20.040 even the best performing AI agent, which was Google's gym 0:26:20.040 --> 0:26:21.920 and I two point five pro at the time, failed 0:26:21.960 --> 0:26:25.119 to complete real world office tasks seventy percent of the time. 0:26:25.800 --> 0:26:27.840 And this is there's been a bunch of articles in 0:26:27.840 --> 0:26:30.120 the last couple of months about like, why didn't because 0:26:30.119 --> 0:26:31.720 twenty twenty five was supposed to be the year of 0:26:31.760 --> 0:26:34.480 agent to AAI and how they're saying, well, twenty twenty six, 0:26:34.520 --> 0:26:36.560 it's going to be the year of agenta AAI. Not 0:26:36.640 --> 0:26:38.960 because none of this stuff works, and in fact enough 0:26:39.000 --> 0:26:41.680 does that there's a number of viable businesses in it. 0:26:41.680 --> 0:26:44.320 It's not nothing, but it does not work as well 0:26:44.359 --> 0:26:46.239 as they said it would be working right now, and 0:26:46.280 --> 0:26:49.280 it consequently has not been adopted merely as widely as 0:26:49.520 --> 0:26:52.520 was expected even this time last year. Right there's an 0:26:52.600 --> 0:26:55.159 article in hr dive half of gen Z chat GPT 0:26:55.359 --> 0:26:57.800 users say they view it as a coworker. Survey shows 0:26:58.119 --> 0:26:59.959 that sites the survey of about eighty six hundred four 0:27:00.160 --> 0:27:03.119 time US workers, which found that about eleven percent of 0:27:03.160 --> 0:27:06.520 those who responded said they use chat GPT regularly, including 0:27:06.560 --> 0:27:09.359 about twenty one percent of gen Z workers, which is 0:27:09.400 --> 0:27:12.199 significantly lower. You can find depending on who you go to. 0:27:12.240 --> 0:27:14.320 And the stat I've seen bandied about was that like 0:27:15.320 --> 0:27:18.840 fifty seven percent of gen z people use chat GPT 0:27:19.320 --> 0:27:22.560 on a daily basis for like work, and like more 0:27:22.560 --> 0:27:25.240 than half used it as like their primary source recommendations 0:27:25.280 --> 0:27:27.880 like what stuff to buy. I don't know, like which 0:27:27.880 --> 0:27:30.080 set of numbers is accurate. There's a lot of different 0:27:30.080 --> 0:27:33.160 posters giving data, right, but kind of no matter who 0:27:33.200 --> 0:27:36.720 you look at, the evidence suggests that the year that 0:27:36.760 --> 0:27:38.680 was supposed to be the year of agentic AI did 0:27:38.680 --> 0:27:41.080 not turn it into a normal thing, right, It's still 0:27:41.160 --> 0:27:44.120 lagging behind expectation. So that's kind of what we're seeing 0:27:44.160 --> 0:27:47.560 at CES is a lot of people trying to, like, well, 0:27:47.640 --> 0:27:50.399 let's bring back kind of the same agentic shit we 0:27:50.440 --> 0:27:53.040 had last year slightly improved and see if it catches on, 0:27:53.160 --> 0:27:54.879 maybe this year it'll hit maturity. 0:27:55.160 --> 0:27:58.960 Right Yeah, No, I mean we've been hearing agentic stuff 0:27:58.960 --> 0:28:01.520 every once in a while, not as much as last year. 0:28:02.000 --> 0:28:03.639 It's one of those like salt pepper words that they 0:28:03.680 --> 0:28:07.160 throw in the second batch of panels that I attended 0:28:07.160 --> 0:28:11.040 after the keynote, which I should mention as soon as 0:28:11.080 --> 0:28:15.240 I walked into the keynote at eight thirty am. The 0:28:15.280 --> 0:28:18.520 first thing, the very first thing I heard from Gary 0:28:18.560 --> 0:28:21.440 Shapiro's well, one of the heads the Consumer Technology Association 0:28:22.119 --> 0:28:24.199 was a six to seven joke. But whether this is 0:28:24.240 --> 0:28:29.440 your first CEES or your fifteenth on my case, you. 0:28:29.480 --> 0:28:34.359 Belong to number, was that sixty or seventy? 0:28:34.480 --> 0:28:35.680 You did a six to seven joke? 0:28:35.800 --> 0:28:40.920 Already, very first thing, Wow, eight great, great, thirty am. 0:28:41.000 --> 0:28:42.080 As soon as I walk in. 0:28:42.320 --> 0:28:44.760 It's because I walked in maybe like five minutes late, 0:28:45.280 --> 0:28:49.800 but very first words. So that's that's good's that kind 0:28:49.800 --> 0:28:52.440 of sets the tone for a lot of a lot 0:28:52.440 --> 0:28:55.200 of that panel. But then I went to a few 0:28:55.520 --> 0:29:00.320 panels in Eureka Park about like AI, governance, some like 0:29:00.600 --> 0:29:05.520 governments working working with AI, A lot of stuff, mostly 0:29:05.840 --> 0:29:09.240 about like the challenge of governments keeping up with innovation. 0:29:09.480 --> 0:29:12.840 How you know, too much regulation restricts these companies from 0:29:12.880 --> 0:29:18.120 doing real regulation. The Secretary of State of Austria had 0:29:18.160 --> 0:29:23.920 a really good quote about how data protections inhibit innovation. 0:29:24.680 --> 0:29:26.680 One of the things that you are saying today is 0:29:26.720 --> 0:29:29.320 that some of the people, some of the citizens, have 0:29:29.560 --> 0:29:30.880 this fear about AI. 0:29:31.360 --> 0:29:34.480 So how do you feel it in Austria. 0:29:35.000 --> 0:29:36.680 I think you mentioned very very well. 0:29:36.800 --> 0:29:41.160 It's all about building trust, taking the field trust for 0:29:41.320 --> 0:29:45.360 FEI that's the most important thing. And of course data 0:29:45.360 --> 0:29:48.959 protection is very huge. But on the other side, between 0:29:49.080 --> 0:29:53.560 data protection and innovation, you need to find the middle 0:29:53.600 --> 0:29:56.920 way because sometimes data protection. 0:29:56.680 --> 0:29:57.880 Is not good for innovation. 0:29:58.720 --> 0:30:02.200 On a similar notice, the into it the turbo tax 0:30:02.280 --> 0:30:05.480 thing of data protection is mainly getting in the way 0:30:05.520 --> 0:30:08.600 of trying to actually make make real social progress, which 0:30:08.640 --> 0:30:11.640 will carry with it some degree of risk. The second 0:30:11.680 --> 0:30:15.240 one of these AI governance panels was like these EU 0:30:15.680 --> 0:30:21.520 ambassadors to the US from Estonia and Luxembourg talking about 0:30:21.880 --> 0:30:25.959 like Reaganomics, basically for thirty minutes, talking about how much 0:30:26.000 --> 0:30:28.760 they love Ronald Reigen great. 0:30:28.520 --> 0:30:33.959 Whenos Soniavo certainly subscribed to the this statement that Reagan 0:30:34.000 --> 0:30:38.240 once made that the fuel most horrific words in English 0:30:38.560 --> 0:30:42.480 are the ones saying that a I'm from the government 0:30:42.520 --> 0:30:43.760 and I'm here to help. 0:30:43.560 --> 0:30:48.080 You, specifically in trying to make sure that governments are 0:30:48.080 --> 0:30:51.240 able to keep up with technology. And the previous panel 0:30:51.280 --> 0:30:54.200 with the Austrian Secretary of State was about the challenges 0:30:54.240 --> 0:30:57.000 of trying to convince the citizens of these countries to 0:30:57.600 --> 0:31:02.000 adopt AI and adopt in general like digitalization and specifically 0:31:02.000 --> 0:31:04.320 with like digital ideas, and how how there's like you know, 0:31:04.480 --> 0:31:06.239 maybe like twenty to thirty percent of people who are 0:31:06.280 --> 0:31:09.360 very resistant and the challenge of like making making sure 0:31:09.360 --> 0:31:11.080 that like this gets framed is not as like a 0:31:11.120 --> 0:31:14.080 product or like a like a project for technology, but 0:31:14.120 --> 0:31:16.360 as like a society wide push. 0:31:16.800 --> 0:31:17.520 Yeah. 0:31:17.560 --> 0:31:19.920 But besides that, these these panels were honestly a little 0:31:19.960 --> 0:31:23.280 bit sleepy as well as the state of the Creator 0:31:23.320 --> 0:31:24.200 Economy panel. 0:31:24.240 --> 0:31:24.920 Oh how's it doing? 0:31:25.720 --> 0:31:29.440 You know what, It's both it's both in its adolescence 0:31:29.520 --> 0:31:30.840 but also reach maturity. 0:31:30.920 --> 0:31:31.240 Wow. 0:31:31.640 --> 0:31:34.160 And they said, you know, it's hard to pick both. 0:31:34.240 --> 0:31:36.040 It's hard for too for something to be two things 0:31:36.080 --> 0:31:38.280 at once, but in this case it is. 0:31:41.160 --> 0:31:43.640 But they talked about how creators are more. 0:31:43.640 --> 0:31:46.440 Enabled to use brand deals, including you know, brand deals 0:31:46.480 --> 0:31:50.200 to enabled with like a backlog of older content. You 0:31:50.200 --> 0:31:53.600 can remove brand deals from older content and replace them 0:31:53.640 --> 0:31:56.400 with current brand deals using a new future from YouTube. 0:31:56.520 --> 0:31:59.640 Right there was there's a guy from YouTube at the panel. Sure, yeah, 0:31:59.640 --> 0:32:02.160 I'm sure who's very excited. But it was mostly about how, 0:32:02.360 --> 0:32:05.719 you know, new ways to use influencers to market your product, 0:32:06.080 --> 0:32:08.880 and that was the extent of what the creator economy 0:32:08.920 --> 0:32:09.400 really meant. 0:32:09.560 --> 0:32:11.680 And that's all any of these people have any idea 0:32:11.720 --> 0:32:15.320 on is like we can inject ads into AI they 0:32:15.360 --> 0:32:18.280 trust AI so they'll buy the products, or we can 0:32:18.320 --> 0:32:22.000 inject ads into influencers they trusts. That was the thing, 0:32:22.240 --> 0:32:24.600 Like none of these people they dress it up with 0:32:24.640 --> 0:32:27.000 all sorts of fancy language, but it's and most of 0:32:27.040 --> 0:32:29.840 these panels you mentioned, like there's a lot of bullshit 0:32:29.920 --> 0:32:31.800 every now and then you get some like good moments 0:32:31.840 --> 0:32:34.400 so you get to like question an asshole. But it's 0:32:34.400 --> 0:32:37.680 mostly bullshit, but it's occasionally worth it for moments like 0:32:38.080 --> 0:32:40.160 when I was on the agentic AI cutting through the 0:32:40.240 --> 0:32:44.200 hype panel, Jay Patasol, who's the principal analyst at Forrester, 0:32:44.720 --> 0:32:48.440 started speaking and he said something beautiful, Garrison, and I'm 0:32:48.720 --> 0:32:51.560 this is not an exact but it's pretty close. We 0:32:51.600 --> 0:32:54.600 have a new audience. We are speaking to machines. We 0:32:54.680 --> 0:32:57.400 are through the looking glass. We are building content for engines. 0:32:57.440 --> 0:32:59.840 We are building websites to be scraped so that an 0:33:00.360 --> 0:33:03.760 can understand what you wanted to understand about your brand. Yep, yep, yeah, 0:33:03.880 --> 0:33:06.480 that gets it. That's what these people see the Internet 0:33:06.520 --> 0:33:08.880 as they see it as like everything before this was 0:33:08.920 --> 0:33:12.440 a mistake or was. What the Internet was for was 0:33:12.520 --> 0:33:17.200 a place for brands to feed information into machines that 0:33:17.240 --> 0:33:20.720 then spoon feed the information directly into customers who trust 0:33:20.720 --> 0:33:23.560 it like little lambs. That's what they want the Internet 0:33:23.600 --> 0:33:25.840 to be, and that's what they believe they've gotten to. 0:33:25.960 --> 0:33:28.320 That's what AI. That's the promise of AI. 0:33:28.600 --> 0:33:30.480 The promise of AI is that this isn't just the 0:33:30.520 --> 0:33:33.080 Internet anymore. This can actually just be the physical world 0:33:33.120 --> 0:33:35.200 as well. And this is something that was talked about 0:33:35.320 --> 0:33:40.280 during the cees CTA keynote Tuesday morning. Specifically, with the 0:33:40.280 --> 0:33:43.440 birth of AI wearables, each of these wearables is able 0:33:43.480 --> 0:33:46.680 to now collect information about the physical world and as 0:33:46.720 --> 0:33:49.240 talng as you have, you know, adequate data sharing, AI 0:33:49.280 --> 0:33:52.560 is able to gain so much more knowledge about how 0:33:52.600 --> 0:33:55.239 the quote unquote real world operates. And this is going 0:33:55.280 --> 0:33:58.440 to make you know, all of the processes of AI 0:33:58.680 --> 0:34:01.520 stronger in the future as that learns more about what 0:34:01.600 --> 0:34:05.960 this world actually is. Yeah, and beyond the promise of 0:34:06.000 --> 0:34:10.760 wearables to improve someone's life, this is the real project 0:34:11.040 --> 0:34:13.640 is strengthening AI through the use of these wearables. 0:34:13.200 --> 0:34:15.680 It's not actually about the consumer experience. 0:34:15.360 --> 0:34:17.120 It's about providing data to this machine. 0:34:17.160 --> 0:34:21.640 It's this like larger, larger, very like existential thing at 0:34:21.719 --> 0:34:24.399 least for these executives or like that. That's the thing 0:34:24.440 --> 0:34:26.719 that they are really emphasizing despite this being called the 0:34:26.760 --> 0:34:28.200 Consumer Electronics Showcase. 0:34:28.320 --> 0:34:30.359 And I think again, the best thing I can give 0:34:30.400 --> 0:34:33.200 you into how fundamentally as much money as there is 0:34:33.239 --> 0:34:35.319 behind this and as many grand words as they dress 0:34:35.360 --> 0:34:39.920 it up, and how intellectually bankrupt this whole tech movement 0:34:40.080 --> 0:34:44.360 is is that. The third panel that I went to, 0:34:44.880 --> 0:34:47.720 which is about AI and creativity. One of the people 0:34:47.719 --> 0:34:50.719 on it was Jesse Damasek, who works for Diagio, which 0:34:50.760 --> 0:34:52.320 is like a company that imports all of your favorite 0:34:52.360 --> 0:34:55.080 whiskeys from Europe, right like they sell all of the 0:34:55.120 --> 0:34:57.800 different like Scottish whiskies that have to get like imported 0:34:57.840 --> 0:35:01.120 and sold over here. And he was talking about they 0:35:01.120 --> 0:35:04.040 were talking about some of the specific examples they had 0:35:04.239 --> 0:35:07.440 of like how AI has been used in advertising campaigns, 0:35:08.120 --> 0:35:12.080 and his exact statement was you can leverage an artist 0:35:12.160 --> 0:35:14.960 and create infinite examples of their work, but which he 0:35:15.000 --> 0:35:16.920 means you can find an artist that you like, sign 0:35:17.000 --> 0:35:19.120 a deal with them, and then have AI created infinite 0:35:19.160 --> 0:35:22.319 examples in their style, and so I camped afterwards and 0:35:22.360 --> 0:35:24.680 I was like, what were you specifically referring to, Like, 0:35:24.719 --> 0:35:26.640 how is this actually work as a product? And the 0:35:26.680 --> 0:35:28.360 thing that he pointed out is that they have a 0:35:28.400 --> 0:35:32.239 couple of whiskey brands that they have done. You go 0:35:32.400 --> 0:35:35.560 in and you order a bottle and it's printed on site, 0:35:35.640 --> 0:35:38.000 and it uses AI to make an example in the 0:35:38.080 --> 0:35:41.479 style of this existing artist that they likes work that's 0:35:41.600 --> 0:35:45.920 unique for you. Uh huh. And he said it's been 0:35:45.960 --> 0:35:49.839 successful for them. Is it trillions of dollars? Three trillion dollars? 0:35:49.880 --> 0:35:49.920 No? 0:35:49.960 --> 0:35:51.480 I mean, these are these are things that like, yeah, 0:35:51.480 --> 0:35:53.600 I guess I can see that maybe selling some Is 0:35:53.640 --> 0:35:58.040 it selling better than any other like branded whiskey than 0:35:58.080 --> 0:36:00.440 any other, like you know, because Whiskey Company, these big 0:36:00.440 --> 0:36:02.920 ones will come out with like here's this edition every 0:36:03.000 --> 0:36:05.439 year or whatever, they'll have one special limited edition one. 0:36:05.760 --> 0:36:07.840 Is it selling better than that? We don't have that data, 0:36:07.920 --> 0:36:09.520 but it was it's one of those is like that's 0:36:09.600 --> 0:36:10.080 the idea. 0:36:10.200 --> 0:36:10.439 Huh. 0:36:10.440 --> 0:36:13.680 That's like we're talking about, like AI is supercharging creativity 0:36:13.680 --> 0:36:17.160 and letting us like think bolder and more creatively than 0:36:17.280 --> 0:36:19.720 we've ever thought before. And there were so many lines 0:36:20.440 --> 0:36:25.040 in this fucking panel about like how we were like 0:36:25.160 --> 0:36:28.319 hyper charging what human beings can be and do, and 0:36:28.400 --> 0:36:30.719 like everyone should be really excited about what all this 0:36:30.760 --> 0:36:33.080 means for the future. One of the panelists that my 0:36:33.200 --> 0:36:35.960 best advice for you is let a thousand flowers bloom. 0:36:36.640 --> 0:36:38.200 I'm sorry that was in the panel right before, but 0:36:38.239 --> 0:36:40.440 it's still in all of this, Like it's all that 0:36:40.480 --> 0:36:43.440 seems it's all the same kind of shit that bleeds together, 0:36:43.480 --> 0:36:45.680 and it's like, Okay, what are your ideas? Well, we're 0:36:45.719 --> 0:36:48.800 having a legrick kind of lie to manipulated an engine, 0:36:49.200 --> 0:36:53.520 and we've got the custom printed bottles for your whiskey. 0:36:53.760 --> 0:36:58.279 Well, you know, speaking of AI unleashing creativity. The last 0:36:58.320 --> 0:37:01.960 thing I'll talk about this episode is the worst booth 0:37:02.520 --> 0:37:05.680 at Showstoppers, which this year is kind of impressive because, yeah, 0:37:05.680 --> 0:37:09.000 that's hard. It's mostly smart glasses and like three different 0:37:09.040 --> 0:37:11.800 pool cleaners. Yeah, and then some random software stuff and 0:37:11.840 --> 0:37:13.719 then a few things we saw last year. Sure, the 0:37:13.760 --> 0:37:18.000 worst worst booth, Robert. You you write books. 0:37:17.760 --> 0:37:19.080 Right, I have in the past. 0:37:19.600 --> 0:37:22.160 What if in the future, what if I told you 0:37:22.760 --> 0:37:26.359 that you could write three books in less than twenty 0:37:26.440 --> 0:37:27.040 four hours. 0:37:27.080 --> 0:37:30.000 God, thank you Garrison as. 0:37:29.840 --> 0:37:32.040 A writer without using cocaine. 0:37:32.080 --> 0:37:35.320 There's well, okay, now i'd say you're a liar. 0:37:35.480 --> 0:37:36.800 That's see a little bit harder. 0:37:36.920 --> 0:37:39.080 Yeah, but I thought you were trying to sell me 0:37:39.120 --> 0:37:41.000 some blow. And I was going to say when we 0:37:41.040 --> 0:37:41.839 turned the mic off. 0:37:42.200 --> 0:37:46.080 With the power of AI, you can write three books 0:37:46.120 --> 0:37:48.080 in six to twenty four hours. 0:37:48.560 --> 0:37:52.040 Wow, that's almost as fast as Stephen King Winny was 0:37:52.040 --> 0:37:53.919 son co. Yeah, there you get not quite. 0:37:54.280 --> 0:37:55.640 So there's this table. 0:37:55.920 --> 0:37:58.560 There was the least abouting table definitely all showstoppers because 0:37:58.560 --> 0:38:01.280 it was it was filled with books with I will. 0:38:01.120 --> 0:38:04.839 Show you the covers here. They all look like this. 0:38:06.000 --> 0:38:09.080 They all oh yeah, no those I mean I'm seeing 0:38:09.160 --> 0:38:10.080 blue and orange. 0:38:10.239 --> 0:38:13.040 It's colors in it's AI generated images. 0:38:13.160 --> 0:38:15.480 Like yeah, it's like every movie poster now in like 0:38:15.520 --> 0:38:19.400 there's no art style behind it. It's very generic and 0:38:19.440 --> 0:38:23.040 they have like, you know, like the most generic font 0:38:23.280 --> 0:38:25.600 for the title, all in the same placement with some 0:38:25.719 --> 0:38:26.720 author's name at the bottom. 0:38:26.960 --> 0:38:27.880 They're very sleepy. 0:38:27.920 --> 0:38:30.040 You could you can find pictures of these covers if 0:38:30.080 --> 0:38:34.440 you Google or bing or you know, maybe chat gpt 0:38:35.200 --> 0:38:37.280 write three books in twenty four hours. 0:38:37.400 --> 0:38:38.680 You can see you can see the cover. 0:38:38.840 --> 0:38:41.400 Finally, I've always wanted to write three books, Garrison. 0:38:41.560 --> 0:38:45.800 So what this is is an app that will help 0:38:45.880 --> 0:38:48.359 you write these books is not going to do it 0:38:48.400 --> 0:38:50.600 all for you. You still need to come up with 0:38:50.640 --> 0:38:52.400 the general idea of the story. 0:38:52.560 --> 0:38:55.480 The hard stuff and the characters really the difficult. The 0:38:55.520 --> 0:38:57.160 world building is always the hardest part. 0:38:57.239 --> 0:38:58.880 Everyone says most of the work on a book is 0:38:58.880 --> 0:38:59.920 done the first six hours. 0:39:00.400 --> 0:39:03.160 The world building is the really hard part. The easy 0:39:03.239 --> 0:39:05.719 part is just getting all those words down. Yeah, so 0:39:06.320 --> 0:39:08.920 you need to create create some characters. Now, could you 0:39:09.000 --> 0:39:11.360 just have some other AI service create these characters? 0:39:11.400 --> 0:39:11.840 Maybe? 0:39:12.000 --> 0:39:15.160 But you should write maybe about a thousand words kind 0:39:15.200 --> 0:39:17.720 of like a story Bible type thing or a character 0:39:17.880 --> 0:39:21.480 character outline and a general direction for the story, and 0:39:21.520 --> 0:39:26.360 you feed that into this app and then within hours 0:39:26.400 --> 0:39:30.720 it will generate not just one book, not just two books, 0:39:31.640 --> 0:39:35.840 but a trilogy wow of books. And it's only a trilogy. 0:39:35.960 --> 0:39:40.320 You cannot generate a single book. The only come in trilogy. 0:39:40.360 --> 0:39:42.960 Look, I get it's George Lucas worked the same way, Garrison. 0:39:43.280 --> 0:39:46.120 Look you're telling me that the greatest machine mind and 0:39:46.239 --> 0:39:48.479 history wouldn't think the same as the greatest human mind 0:39:48.520 --> 0:39:52.279 in history. You know, I bet it'll independently create Jiz 0:39:52.360 --> 0:39:54.839 music too. It only comes in trilogies. 0:39:57.520 --> 0:40:02.680 And I now shall read a sample of this writing, 0:40:02.680 --> 0:40:04.880 and like dying read, there was maybe there was maybe 0:40:04.920 --> 0:40:07.440 like five or six different books with many copies of 0:40:07.440 --> 0:40:09.680 the same book on this table, and I flipped through, 0:40:09.719 --> 0:40:12.719 maybe about half reading like a random page every you know, 0:40:12.800 --> 0:40:16.880 every like twenty fifty pages, and it was it was 0:40:17.840 --> 0:40:20.400 it was too boring that I forgot to take pictures 0:40:20.719 --> 0:40:23.239 of these pages because I was just like it was 0:40:23.239 --> 0:40:26.200 a struggle to finish, to finish each page. But luckily 0:40:26.239 --> 0:40:28.640 on their website they do have some sample pages. I 0:40:29.239 --> 0:40:31.399 talked to one of the one of the guys working 0:40:31.440 --> 0:40:33.640 at the booth, and he said that he tried this 0:40:33.800 --> 0:40:36.879 so we're like he found the service and he first thought, 0:40:36.880 --> 0:40:39.120 you know, sure that this can't be any good. And 0:40:39.320 --> 0:40:41.480 when he when he generated his book, he was surprised 0:40:41.560 --> 0:40:42.520 how good the writing is. 0:40:42.560 --> 0:40:43.879 He said that he probably. 0:40:43.560 --> 0:40:48.000 Wouldn't win a Pulletzer or a Hugo, his two awards 0:40:48.000 --> 0:40:51.160 that he named, but he said it was pretty good. 0:40:51.360 --> 0:40:51.520 Right. 0:40:53.560 --> 0:40:56.040 This guy was so far of the most Tim Robinson 0:40:56.200 --> 0:41:00.760 character I met at the cop Yeah, that's great. So Robert, 0:41:00.840 --> 0:41:03.680 you can pick the genre of sample. We have a 0:41:03.719 --> 0:41:10.200 thriller book, a fantasy, mystery, science fiction, romance, or mainstream 0:41:10.280 --> 0:41:11.080 literary fiction. 0:41:11.200 --> 0:41:12.560 What genre do you want? 0:41:12.680 --> 0:41:15.480 I think I want science fiction science fiction because I 0:41:15.480 --> 0:41:18.920 feel like there's the shortest line between parody and legitimate 0:41:18.960 --> 0:41:19.719 within sci fi. 0:41:20.680 --> 0:41:24.200 All right, this is from a book called I don't 0:41:24.200 --> 0:41:25.279 even want to say this one. 0:41:26.080 --> 0:41:27.440 I'm really curious now. 0:41:27.880 --> 0:41:30.480 Palympsit orbit is what I'm going to say. 0:41:30.520 --> 0:41:33.400 Oh my god, they're starting to be Arthur C. Clark. 0:41:33.480 --> 0:41:40.000 It's called the Polympsit Orbit. Chapter one, Desert Signals. Marrow 0:41:40.040 --> 0:41:43.080 woke with the taste of metal in her mouth and 0:41:43.120 --> 0:41:46.200 a pulse in her temples that felt one notch shy 0:41:46.320 --> 0:41:49.600 of a hangover. The ceiling above her was low and white, 0:41:49.800 --> 0:41:53.120 edged with soft events. A monitor over the bed scrolled 0:41:53.160 --> 0:41:57.319 green numbers in a stylized outline of her lungs thin air. 0:41:57.760 --> 0:41:58.960 She remembered. 0:42:01.520 --> 0:42:06.360 The Atacoma sky, somewhere above concrete and glass. Good morning, 0:42:06.360 --> 0:42:11.440 doctor Ellison, A calm baritone. How's the head? She turned 0:42:11.480 --> 0:42:14.520 toward the voice. A man in the doorway wore a 0:42:14.560 --> 0:42:17.880 slate blue clinic jumper and a badge that caught the 0:42:17.960 --> 0:42:22.160 desert light leaking through the polarized glass. Dark curls threaded 0:42:22.200 --> 0:42:25.799 with gray laugh lines that didn't quite match the tiredness 0:42:25.840 --> 0:42:26.600 around his eyes. 0:42:26.760 --> 0:42:29.160 Hire Man, are you good? Go me to keep you? 0:42:29.680 --> 0:42:32.600 I you know, it's it's again. It's like the it's 0:42:32.600 --> 0:42:35.440 an imitation of like a story. Like it's a scene 0:42:35.480 --> 0:42:38.960 and it's a scene with details to describe people. But 0:42:39.040 --> 0:42:42.000 there's not like you would ideally, I would have something 0:42:42.040 --> 0:42:43.960 of an idea of like what the thrust of the 0:42:44.000 --> 0:42:47.880 story is going to be. Like for example, Bilbo Baggins 0:42:47.960 --> 0:42:50.239 was a hobbit who lived in a house underhill or 0:42:50.280 --> 0:42:53.080 something like that. Forget the exact wording of that, but like, 0:42:54.480 --> 0:42:57.120 I you know, it makes sense. It sounds like it 0:42:57.400 --> 0:43:01.560 sounds remarkably like bad No. I don't insult Nano Remo 0:43:01.640 --> 0:43:04.799 writers that much. It just it just it sounds like 0:43:04.920 --> 0:43:08.480 a story that was generated based on a belief that like, well, 0:43:08.520 --> 0:43:10.600 if we can just like describe enough stuff and use 0:43:10.680 --> 0:43:14.680 enough words to describe a scene, then that counts as plot. Yeah, 0:43:14.719 --> 0:43:17.399 I mean in character, which we don't have any of yet. 0:43:17.360 --> 0:43:20.880 It's all of it was this very generic, empty like 0:43:21.120 --> 0:43:24.319 stuff that's very very common. And if you ever have 0:43:24.360 --> 0:43:26.359 to read through a lot of like AI writing, whether 0:43:26.440 --> 0:43:28.319 for work or let's say, you know, you work in 0:43:28.360 --> 0:43:30.440 a college, so you have students submitting this stuff, or 0:43:30.440 --> 0:43:33.560 you for some reason are online and you feel obligated 0:43:33.600 --> 0:43:35.360 to look at the worst parts of the world, like 0:43:35.560 --> 0:43:36.279 what me and Robert do. 0:43:36.400 --> 0:43:38.440 Sometimes this is all feels very familiar. 0:43:38.560 --> 0:43:41.520 I'll read one other like paragraph from a different book, 0:43:42.000 --> 0:43:45.520 a thriller called The Helix Files, Oh Good, obviously part 0:43:45.560 --> 0:43:47.880 of a trilogy, so who knows where these stories go 0:43:48.000 --> 0:43:49.280 over the course of three books. 0:43:49.640 --> 0:43:51.800 Quote the car heater had. 0:43:51.680 --> 0:43:55.279 Died ten minutes ago, cold leaked through the floorboards into 0:43:55.320 --> 0:43:59.799 Helix's boots. Outside the eastern block industrial belt, slid past 0:43:59.840 --> 0:44:05.400 and gray slabs and rusted steel, wet concrete period, diesel period, 0:44:06.080 --> 0:44:10.160 a straight dog nosing tragh heap outside the road first, 0:44:10.200 --> 0:44:12.640 slick with drizzle. So it's it's something that right, Yeah, 0:44:12.640 --> 0:44:14.760 there's a lot of this sort of like quick punchy 0:44:14.880 --> 0:44:18.120 sentences are common in AI writing at the moment, wet concrete, 0:44:18.160 --> 0:44:19.960 you know, with a period. But like a lot of 0:44:20.000 --> 0:44:22.759 this type of stuff you you see you see in 0:44:22.800 --> 0:44:24.759 a AI writing, you have a lot of a lot 0:44:24.800 --> 0:44:27.759 a lot of character and a lot a lot of 0:44:27.760 --> 0:44:30.680 like m dash sentences. As I was flipping through these books, 0:44:30.719 --> 0:44:32.319 I was like, okay, yeah, like I see what they're doing. 0:44:32.320 --> 0:44:33.280 I see yeah. 0:44:33.360 --> 0:44:35.480 But but now, if if you want to write a 0:44:35.600 --> 0:44:37.879 quote unquote write a trilogy of books, you can pay 0:44:37.880 --> 0:44:40.560 the money and and within six hours you will have 0:44:40.600 --> 0:44:44.600 a trilogy. So what really makes me feel optimistic about 0:44:44.600 --> 0:44:47.440 CES is the way that creativity is being democratized. 0:44:47.719 --> 0:44:50.600 It used to be that no ordinary person could write 0:44:50.600 --> 0:44:50.960 a book. 0:44:51.239 --> 0:44:52.960 You had to have a story and be some sort 0:44:53.000 --> 0:44:55.120 of freak at Oxford maybe like a you need like 0:44:55.160 --> 0:44:59.760 a pencil, maybe a keyboard. Yeah, possible, barriers, it's not possible. 0:44:59.800 --> 0:45:03.040 And now, luckily through AI, as long as you have 0:45:03.160 --> 0:45:04.520 you know, sub money. 0:45:04.280 --> 0:45:06.959 To pay a subscription service at a computer and VC 0:45:07.320 --> 0:45:09.759 fundraising and subsidizing of vice service. 0:45:09.480 --> 0:45:13.160 Ideally, yeah, then you too can be an author of 0:45:13.200 --> 0:45:13.800 a trilogy. 0:45:14.800 --> 0:45:17.719 Well that's that's my plan for the future. I guess 0:45:17.760 --> 0:45:20.680 I want to end by talking about the second to 0:45:20.680 --> 0:45:24.399 the last panel that I sat through, which was at 0:45:24.400 --> 0:45:27.719 the AI house, and was I think yet again, this 0:45:27.840 --> 0:45:29.839 was another one that was about they were largely talking 0:45:29.840 --> 0:45:32.399 about ethics in this one, like AI and ethics and 0:45:32.480 --> 0:45:36.719 like what that actually means. And Eric Pace, who on 0:45:36.760 --> 0:45:40.080 the slide lajer City works at company but it's reassuring, Yeah, 0:45:40.239 --> 0:45:42.239 reassuring who works at Cox Media, which is like a 0:45:42.280 --> 0:45:46.399 big media company, yes, based on Georgia. And he had 0:45:46.520 --> 0:45:48.759 a couple of statements that were interested in me. He 0:45:48.800 --> 0:45:50.719 had one where he said that, like, it's kind of 0:45:50.760 --> 0:45:56.880 incumbent upon people to develop an ethical rubric for how 0:45:56.960 --> 0:45:59.759 and what sources and what AI is they trust and 0:45:59.800 --> 0:46:05.080 want and figure that out. And I think what I 0:46:05.160 --> 0:46:07.799 inferred was that, like, because it's not going to get 0:46:07.840 --> 0:46:10.480 done by anyone else, And it kind of became clude 0:46:10.480 --> 0:46:12.080 to me later. I think it's he also doesn't want 0:46:12.080 --> 0:46:13.840 anyone else to do it. He wants this to be 0:46:13.880 --> 0:46:15.800 an individual project where you have to kind of figure 0:46:15.840 --> 0:46:18.680 that out for yourself. I was kind of unsure as 0:46:18.680 --> 0:46:20.960 to whether he was the evil or just the pragmatic 0:46:21.040 --> 0:46:23.360 version of this, because the pragmatic version is like, literally, 0:46:23.400 --> 0:46:25.200 no one's going to restrict this stuff. You just have 0:46:25.280 --> 0:46:28.520 to try to get by right, which is maybe accurate. 0:46:29.160 --> 0:46:31.200 But there was a really interesting interaction on this panel. 0:46:31.239 --> 0:46:33.280 One of the other people there was doctor Martin Clancy, 0:46:33.280 --> 0:46:37.319 who was an Irish academic and a musician who was 0:46:37.440 --> 0:46:39.880 on the panel again to talk about like creativity and ethics, 0:46:40.040 --> 0:46:42.560 and made a comment that I found was really interesting 0:46:42.600 --> 0:46:44.239 and I don't know, I wouldn't say I agree or 0:46:44.280 --> 0:46:46.000 disagree with it, but I found it really interesting where 0:46:46.000 --> 0:46:49.600 he was like, actually, I'm not at all concerned comparatively 0:46:49.800 --> 0:46:53.120 about having an AI give me medical advice. I'm deeply 0:46:53.160 --> 0:46:56.360 concerned about letting an AI recommend music or movies to me, 0:46:56.800 --> 0:46:58.640 which I found a really interesting attitude and kind of 0:46:58.640 --> 0:47:00.600 a thought provoking yell that it is interesting, which was 0:47:00.640 --> 0:47:03.520 immediately spoiled by Eric Pace going like, well, I don't 0:47:03.520 --> 0:47:05.760 see why anyone would have an issue with an AI doctor. 0:47:05.800 --> 0:47:07.480 Doctors get things wrong all the time. 0:47:07.600 --> 0:47:10.680 And then he just like let that statement set. 0:47:09.320 --> 0:47:14.439 I have heard this before, and ais have a lot 0:47:14.480 --> 0:47:17.040 more data. And they ended it by saying because everyone 0:47:17.040 --> 0:47:18.600 asked like, what were their big wins of the year, 0:47:18.680 --> 0:47:21.919 and his big win was that his wife hated chat 0:47:21.960 --> 0:47:23.920 ept and didn't want to use it, and he convinced 0:47:23.960 --> 0:47:26.319 her to use it to plan their vacation. It kind 0:47:26.320 --> 0:47:28.239 of sounded like he bullied her into it, but that 0:47:28.360 --> 0:47:30.600 was his big win for the year. I didn't like him. 0:47:31.080 --> 0:47:31.960 My win is I. 0:47:33.719 --> 0:47:37.160 My wife into using a chat bot to plan special 0:47:37.239 --> 0:47:40.600 time vacationing together because we're not creative enough to figure 0:47:40.600 --> 0:47:42.719 out how to go on a fucking trip. 0:47:42.480 --> 0:47:44.279 Hashtag AI win Jesus. 0:47:44.480 --> 0:47:47.440 I don't know anyway. I think that's good for episode 0:47:47.440 --> 0:47:49.799 one from Cees. Come back next week. We'll we'll all 0:47:49.840 --> 0:47:52.359 have more or listen to better offline where ed will 0:47:52.400 --> 0:47:55.359 have just a shocking amount of content from a lot 0:47:55.440 --> 0:47:59.960 of the relatively few and constantly shrinking stable of saying 0:48:00.120 --> 0:48:01.759 people reporting on technology. 0:48:01.960 --> 0:48:02.680 See you next week. 0:48:06.080 --> 0:48:08.600 It could Happen Here is a production of cool Zone Media. 0:48:08.760 --> 0:48:11.840 For more podcasts from cool Zone Media, visit our website 0:48:11.920 --> 0:48:15.480 coolzonmedia dot com, or check us out on the iHeartRadio app, 0:48:15.560 --> 0:48:19.120 Apple Podcasts, or wherever you listen to podcasts. You can 0:48:19.160 --> 0:48:21.480 now find sources for it could Happen here, listed directly 0:48:21.520 --> 0:48:23.800 in episode descriptions. Thanks for listening.