1 00:00:00,120 --> 00:00:03,880 Speaker 1: Let's talk about Christmas or holidays however you want to 2 00:00:03,880 --> 00:00:08,000 Speaker 1: celebrate the last couple of weeks of December. Gift giving 3 00:00:08,240 --> 00:00:11,600 Speaker 1: is a priority, and we live in twenty twenty five, 4 00:00:11,640 --> 00:00:14,480 Speaker 1: which means every gift that you give outside of a 5 00:00:14,520 --> 00:00:16,640 Speaker 1: pack at number two pencils is going to have some 6 00:00:16,680 --> 00:00:18,800 Speaker 1: sort of technology involved with it, and we wanted to 7 00:00:18,840 --> 00:00:21,759 Speaker 1: bring on one of the tech journalists and producers that 8 00:00:21,800 --> 00:00:24,720 Speaker 1: we pay attention to to talk more about it. David 9 00:00:24,760 --> 00:00:28,320 Speaker 1: Immel is actually a co host of the Waveform podcast 10 00:00:28,360 --> 00:00:32,519 Speaker 1: and also producer for the YouTube channel MKBHD talks all 11 00:00:32,560 --> 00:00:36,599 Speaker 1: about technology and innovation, etc. And David is joining us 12 00:00:36,760 --> 00:00:38,680 Speaker 1: now with more. David, what's going on? 13 00:00:40,080 --> 00:00:41,519 Speaker 2: How's it going? Thanks for bringing me on. 14 00:00:41,600 --> 00:00:44,200 Speaker 1: Well, I'm glad to meet you. I've been a fan. 15 00:00:44,479 --> 00:00:47,480 Speaker 1: I've read some of your stuff. I like the attitude, 16 00:00:48,040 --> 00:00:50,159 Speaker 1: the idea that AI, of course is going to be 17 00:00:50,159 --> 00:00:52,159 Speaker 1: involved in just about everything that we do in the 18 00:00:52,159 --> 00:00:54,400 Speaker 1: next couple of years. But we'll get to the general 19 00:00:54,440 --> 00:00:57,160 Speaker 1: AI discussion later. I want to go through some of 20 00:00:57,200 --> 00:00:59,600 Speaker 1: the things that you think might make great gifts as 21 00:00:59,600 --> 00:01:02,000 Speaker 1: we get in to the holiday season technology wise. 22 00:01:03,480 --> 00:01:05,920 Speaker 3: Sure, So you know what's been funny this year is 23 00:01:06,000 --> 00:01:08,320 Speaker 3: I think the things that are slowing me down a 24 00:01:08,400 --> 00:01:10,560 Speaker 3: little bit more or that are kind of getting me 25 00:01:10,720 --> 00:01:14,480 Speaker 3: off of all of the technology, have been better things 26 00:01:14,520 --> 00:01:17,880 Speaker 3: that I've been consuming. E readers are really great gifts 27 00:01:18,000 --> 00:01:21,240 Speaker 3: right now. There is a particular one called the Books 28 00:01:21,360 --> 00:01:24,600 Speaker 3: Palma two that is from a company called Books. You 29 00:01:24,640 --> 00:01:27,759 Speaker 3: can find them online and it's the size of a smartphone, 30 00:01:27,800 --> 00:01:29,559 Speaker 3: so it fits in your pocket in the same way 31 00:01:29,560 --> 00:01:33,160 Speaker 3: that your phone does, but it can run your kindle. 32 00:01:33,440 --> 00:01:37,679 Speaker 3: It can run pretty much any eReader type app Libby. 33 00:01:37,760 --> 00:01:40,760 Speaker 3: If you have a library card, you can download free 34 00:01:40,840 --> 00:01:45,120 Speaker 3: audio books and ebooks from your library straight onto it. 35 00:01:45,920 --> 00:01:47,880 Speaker 3: But it does run androids, so if you need to 36 00:01:47,920 --> 00:01:50,200 Speaker 3: be able to access things like Spotify, if you want 37 00:01:50,240 --> 00:01:52,120 Speaker 3: to listen to music while you're reading, or if you 38 00:01:52,160 --> 00:01:54,840 Speaker 3: need to look something up on the internet. I just 39 00:01:54,880 --> 00:01:58,200 Speaker 3: think that that's a really good gift. Something else the 40 00:01:58,320 --> 00:02:01,920 Speaker 3: Aura Frame. There's this company called Aura that makes smart frames, 41 00:02:02,000 --> 00:02:04,600 Speaker 3: and smart frames are not a new concept. They've definitely 42 00:02:04,600 --> 00:02:07,360 Speaker 3: been out around for quite a while. But these are 43 00:02:07,360 --> 00:02:10,000 Speaker 3: great because they come with very long cables. They have 44 00:02:10,080 --> 00:02:14,560 Speaker 3: about thirty day battery life or sorry, three month battery life, 45 00:02:14,560 --> 00:02:18,480 Speaker 3: which is much longer. You can text photos directly to 46 00:02:18,560 --> 00:02:20,360 Speaker 3: the frame, so if you're sending it up for a 47 00:02:20,360 --> 00:02:23,120 Speaker 3: family member, you can just text new photos to a 48 00:02:23,160 --> 00:02:26,680 Speaker 3: specific phone number and it'll automatically start rotating. Those photos 49 00:02:26,680 --> 00:02:30,119 Speaker 3: on the frame are really nice. 50 00:02:30,160 --> 00:02:30,919 Speaker 4: I've seen those. 51 00:02:30,960 --> 00:02:34,000 Speaker 1: We actually bought one from my parents probably ten years ago, 52 00:02:34,320 --> 00:02:36,600 Speaker 1: but we had to upload on a thumb drive and 53 00:02:36,680 --> 00:02:38,320 Speaker 1: keep that thing stuck in there. Now you're saying you 54 00:02:38,360 --> 00:02:40,280 Speaker 1: can update them regularly. 55 00:02:41,000 --> 00:02:43,160 Speaker 2: Yes, one hund percent, So there are both. 56 00:02:43,200 --> 00:02:44,600 Speaker 3: There are a couple of ways you can add You 57 00:02:44,600 --> 00:02:47,720 Speaker 3: can add photos through the app, or if your parent 58 00:02:47,840 --> 00:02:50,200 Speaker 3: takes a photo or your kid takes a photo, you 59 00:02:50,240 --> 00:02:52,519 Speaker 3: can now just text to a specific phone number and 60 00:02:52,560 --> 00:02:55,440 Speaker 3: it'll automatically add it to the library of rotating photos. 61 00:02:55,440 --> 00:02:57,200 Speaker 2: So those are that's pretty awesome. 62 00:02:57,560 --> 00:02:59,960 Speaker 4: Yeah, let's see. That is one of those. 63 00:03:01,520 --> 00:03:04,200 Speaker 1: Good improvements when it comes to technology on something that's 64 00:03:04,200 --> 00:03:04,880 Speaker 1: been around. 65 00:03:04,600 --> 00:03:05,000 Speaker 2: For a while. 66 00:03:05,080 --> 00:03:10,000 Speaker 3: Yes, yes, exactly, definitely, definitely, just like updating with more 67 00:03:10,040 --> 00:03:11,120 Speaker 3: cloud infrastructure. 68 00:03:11,280 --> 00:03:13,839 Speaker 1: So what else? What else is going on in terms 69 00:03:13,840 --> 00:03:14,560 Speaker 1: of gifts? 70 00:03:15,800 --> 00:03:16,000 Speaker 2: Oh? 71 00:03:16,040 --> 00:03:18,720 Speaker 3: Man, I guess it sort of depends. 72 00:03:18,360 --> 00:03:19,600 Speaker 2: On who you're buying for. 73 00:03:20,160 --> 00:03:22,880 Speaker 3: If you're buying for a younger person, I've been really 74 00:03:22,919 --> 00:03:26,960 Speaker 3: into these emulator devices, which are basically a little micro 75 00:03:27,040 --> 00:03:28,359 Speaker 3: computers that can play. 76 00:03:28,160 --> 00:03:29,200 Speaker 2: Old video games. 77 00:03:29,639 --> 00:03:32,480 Speaker 3: The company and vernick A and b E r N 78 00:03:32,520 --> 00:03:35,720 Speaker 3: I see, they make really really cool little handheld devices. 79 00:03:35,760 --> 00:03:38,160 Speaker 3: They only cost like seventy dollars, but they can play 80 00:03:38,640 --> 00:03:41,520 Speaker 3: pretty much every video game console up to like PlayStation 81 00:03:41,680 --> 00:03:44,880 Speaker 3: two on them. So if you either know someone who 82 00:03:46,360 --> 00:03:49,000 Speaker 3: is very nostalgic for those consoles and wants to be 83 00:03:49,040 --> 00:03:51,480 Speaker 3: playing them again later on, or if you have a 84 00:03:51,480 --> 00:03:54,200 Speaker 3: younger kid who you want to like, you know, engage 85 00:03:54,240 --> 00:03:57,200 Speaker 3: in your childhood or the things that you were into, 86 00:03:57,600 --> 00:03:59,600 Speaker 3: those are really great gifts. They come in very a 87 00:03:59,640 --> 00:04:03,160 Speaker 3: bunch of different screen sizes and shapes too, and again 88 00:04:03,200 --> 00:04:04,720 Speaker 3: they're like all under one hundred. 89 00:04:04,440 --> 00:04:06,960 Speaker 2: Bucks, so they're like pretty solid gifts, that's sure. 90 00:04:07,080 --> 00:04:07,880 Speaker 4: That's one of those things. 91 00:04:07,880 --> 00:04:10,000 Speaker 1: There used to be probably about ten years ago, there 92 00:04:10,040 --> 00:04:12,720 Speaker 1: would be I don't even know if you're old enough 93 00:04:12,760 --> 00:04:14,520 Speaker 1: to know what the Atari twenty six hundred was, but 94 00:04:14,560 --> 00:04:18,600 Speaker 1: the old joystick, and the joystick itself was the computer 95 00:04:18,920 --> 00:04:20,680 Speaker 1: that you could just hook up to a TV with 96 00:04:20,720 --> 00:04:23,080 Speaker 1: Little LARCAA or whatever it was, and you could play 97 00:04:23,120 --> 00:04:27,320 Speaker 1: some of those old games. This sounds like that on steroids, 98 00:04:27,320 --> 00:04:29,800 Speaker 1: and I would part of the reason I would love 99 00:04:29,800 --> 00:04:32,440 Speaker 1: that is because I played all those games as a kid, 100 00:04:32,880 --> 00:04:35,480 Speaker 1: but when my son grew up, all of his games 101 00:04:35,520 --> 00:04:38,960 Speaker 1: were way too advanced for me, and that this might 102 00:04:39,000 --> 00:04:41,640 Speaker 1: bring us back to some some level playing field when 103 00:04:41,640 --> 00:04:44,200 Speaker 1: it comes to picking up these games and having some 104 00:04:44,200 --> 00:04:45,120 Speaker 1: sort of competition. 105 00:04:46,520 --> 00:04:47,120 Speaker 2: Oh definitely. 106 00:04:47,120 --> 00:04:48,760 Speaker 3: And what's cool about them too is that they have 107 00:04:48,960 --> 00:04:52,720 Speaker 3: much improved screens. You know, so instead of like playing. 108 00:04:52,400 --> 00:04:54,479 Speaker 2: On an old Game Boy Advance or like a Game 109 00:04:54,520 --> 00:04:55,400 Speaker 2: Boy Color. 110 00:04:55,360 --> 00:04:58,719 Speaker 3: You're playing on a much more modern LCD display or 111 00:04:58,760 --> 00:05:01,719 Speaker 3: even an O LED display. They have arm processors, so 112 00:05:01,880 --> 00:05:05,359 Speaker 3: similar processors that are going into your phone, so it 113 00:05:05,440 --> 00:05:09,520 Speaker 3: can emulate games pretty much no problem, from pretty much 114 00:05:09,560 --> 00:05:11,960 Speaker 3: up until PlayStation two or even a little bit later. 115 00:05:12,640 --> 00:05:13,480 Speaker 2: And they do that. 116 00:05:13,760 --> 00:05:17,479 Speaker 3: Seamlessly, so super easy. The last big thing that I 117 00:05:17,480 --> 00:05:20,440 Speaker 3: wanted to shout out there's a company called fair Phone, 118 00:05:21,080 --> 00:05:24,480 Speaker 3: which they make very sustainable technology products. 119 00:05:24,480 --> 00:05:25,120 Speaker 2: So they make. 120 00:05:25,440 --> 00:05:28,359 Speaker 3: Phones that are very repairable that you can you know, 121 00:05:28,360 --> 00:05:31,120 Speaker 3: you can replace the better, you can replace the camera modules, 122 00:05:31,160 --> 00:05:34,520 Speaker 3: you can replace the USB sport, all this kind of stuff. 123 00:05:35,360 --> 00:05:38,479 Speaker 3: But they just released some overear headphones called the fair 124 00:05:38,520 --> 00:05:42,520 Speaker 3: Buds XL and they've they're a French company that has 125 00:05:42,560 --> 00:05:45,440 Speaker 3: been selling in Europe for quite a while, but they 126 00:05:45,760 --> 00:05:49,520 Speaker 3: just announced last week that they're coming to America via 127 00:05:49,560 --> 00:05:52,680 Speaker 3: Amazon in the next month or so, so they'll both 128 00:05:52,720 --> 00:05:55,159 Speaker 3: be selling their phone as well as their headphones on there. 129 00:05:55,160 --> 00:05:57,520 Speaker 3: I've been using their their new headphones for a couple 130 00:05:57,520 --> 00:06:00,840 Speaker 3: of months now, and they're very comfortable. They sound great, 131 00:06:00,880 --> 00:06:02,960 Speaker 3: and I just really like that you can six and 132 00:06:03,040 --> 00:06:06,760 Speaker 3: repair every little segment of them, so if the speaker 133 00:06:06,839 --> 00:06:09,359 Speaker 3: driver breaks, you can just buy new speaker drivers to 134 00:06:09,360 --> 00:06:13,200 Speaker 3: put in them. If they release a new version of 135 00:06:13,240 --> 00:06:16,120 Speaker 3: them that have better speakers, you can buy those speakers 136 00:06:16,160 --> 00:06:18,919 Speaker 3: and put them in your headphone, so you don't have 137 00:06:18,960 --> 00:06:20,839 Speaker 3: to just keep buying new stuff all the time. 138 00:06:20,920 --> 00:06:21,680 Speaker 2: That's awesome nice. 139 00:06:22,080 --> 00:06:24,840 Speaker 1: It would be a great business model if others catch 140 00:06:24,920 --> 00:06:28,919 Speaker 1: on to that. So we're talking with David totally technology journalists. 141 00:06:28,920 --> 00:06:31,000 Speaker 1: When we come back, can we I'd love to ask 142 00:06:31,040 --> 00:06:33,680 Speaker 1: you more general questions about AI and where we're. 143 00:06:33,560 --> 00:06:34,120 Speaker 4: Going with that. 144 00:06:35,440 --> 00:06:36,719 Speaker 2: Sure, I'm sure we can do that. 145 00:06:36,880 --> 00:06:40,320 Speaker 1: David, stick around for here just a second. David imml 146 00:06:40,760 --> 00:06:43,480 Speaker 1: is a tech journalist. You see them as a producer 147 00:06:43,560 --> 00:06:47,680 Speaker 1: on the MKBHD YouTube channel, co host of the Waveform podcast. 148 00:06:47,760 --> 00:06:50,960 Speaker 1: We're talking about some of the headlines when it comes 149 00:06:50,960 --> 00:06:54,360 Speaker 1: to AI. Specifically, big story that came out yesterday it 150 00:06:54,400 --> 00:06:57,720 Speaker 1: means a lot here in Hollywood is that Disney has 151 00:06:57,760 --> 00:07:00,719 Speaker 1: teamed up with open Ai because are going to allow 152 00:07:00,800 --> 00:07:03,320 Speaker 1: a bunch of people to use a bunch of a 153 00:07:03,360 --> 00:07:09,800 Speaker 1: couple hundred Disney trademarked characters in these little Sora videos 154 00:07:09,920 --> 00:07:13,440 Speaker 1: that are that you can make. When you saw this, 155 00:07:13,680 --> 00:07:15,360 Speaker 1: how did this news strike you? 156 00:07:17,240 --> 00:07:19,480 Speaker 3: Really not surprising at all. The thing about these AI 157 00:07:19,560 --> 00:07:23,040 Speaker 3: companies is that they've been scraping all of this information 158 00:07:23,480 --> 00:07:27,680 Speaker 3: without permission for the last three years now. So really 159 00:07:27,720 --> 00:07:30,080 Speaker 3: all that's happening here is that Disney probably kind of 160 00:07:30,160 --> 00:07:32,440 Speaker 3: lawyered up and went to open Ai and said, hey, 161 00:07:32,880 --> 00:07:34,880 Speaker 3: we need to figure something out because we know that 162 00:07:34,920 --> 00:07:37,360 Speaker 3: everybody's doing this, but we need to figure out a 163 00:07:37,400 --> 00:07:39,800 Speaker 3: way for it to work for both of us. The 164 00:07:39,880 --> 00:07:42,760 Speaker 3: day after that they made that announcement with open Ai, 165 00:07:43,320 --> 00:07:49,120 Speaker 3: they actually sorry Disney actually sued Google for the exact 166 00:07:49,160 --> 00:07:52,800 Speaker 3: same thing. So what they're pretty much doing is they're like, 167 00:07:52,800 --> 00:07:54,720 Speaker 3: all right, we know that all the AI companies are 168 00:07:54,720 --> 00:07:56,920 Speaker 3: going to be doing this, we need to get our 169 00:07:57,000 --> 00:07:59,560 Speaker 3: end of the bargain out of it. And now they're 170 00:07:59,600 --> 00:08:02,960 Speaker 3: basically just trying to get Google to do the exact 171 00:08:02,960 --> 00:08:05,200 Speaker 3: same thing that open ai did for them. 172 00:08:06,320 --> 00:08:09,000 Speaker 1: Is this Do you think this is kind of the 173 00:08:09,040 --> 00:08:11,920 Speaker 1: future of these deals, these types of deals like this 174 00:08:12,000 --> 00:08:14,000 Speaker 1: because a, I mean, I think it's The New York 175 00:08:14,040 --> 00:08:16,640 Speaker 1: Times has also sued because of the potential, or or 176 00:08:16,680 --> 00:08:19,680 Speaker 1: because they believe that these companies have gone back and 177 00:08:19,680 --> 00:08:24,440 Speaker 1: scraped their information without uh, without paying attention to copyright issues. 178 00:08:25,880 --> 00:08:28,440 Speaker 3: Yeah, so this is kind of the big question mark. 179 00:08:29,360 --> 00:08:32,160 Speaker 3: There is no way to actually look inside the training 180 00:08:32,240 --> 00:08:35,240 Speaker 3: data and see what is in the training data. The 181 00:08:35,240 --> 00:08:37,320 Speaker 3: only way that you can be for sure that something 182 00:08:37,400 --> 00:08:40,640 Speaker 3: is in that training data is that it produces your 183 00:08:40,760 --> 00:08:43,720 Speaker 3: likeness or your character. Right. If you can go on 184 00:08:44,040 --> 00:08:47,959 Speaker 3: open aiy Sora and say Mickey Mouse, you know, going 185 00:08:48,000 --> 00:08:50,880 Speaker 3: on a beach vacation, and it produces Mickey Mouse exactly, 186 00:08:51,400 --> 00:08:53,480 Speaker 3: you know that Mickey Mouse is in the training data. 187 00:08:53,559 --> 00:08:57,360 Speaker 3: So it's pretty obvious that these companies have been scraping 188 00:08:57,360 --> 00:08:59,800 Speaker 3: the entire Internet, and there is all there are all 189 00:08:59,800 --> 00:09:02,080 Speaker 3: these arguments about oh well, if I can read it 190 00:09:02,120 --> 00:09:04,400 Speaker 3: with my eyes, then why I can't a machine read it. 191 00:09:04,760 --> 00:09:07,560 Speaker 3: But that's exactly what copyright is. So I think in 192 00:09:07,600 --> 00:09:10,160 Speaker 3: the future you're going to see a lot of these 193 00:09:10,280 --> 00:09:11,760 Speaker 3: giant companies. 194 00:09:11,360 --> 00:09:14,080 Speaker 2: Going to open Ai, going to Google and saying. 195 00:09:13,800 --> 00:09:16,040 Speaker 3: Hey, we need to work out a deal here because 196 00:09:16,520 --> 00:09:18,160 Speaker 3: we know you're not going to stop doing this, but 197 00:09:18,240 --> 00:09:19,800 Speaker 3: we can make this work for both of us. 198 00:09:20,080 --> 00:09:22,439 Speaker 4: How often do you use AI in your work? 199 00:09:24,600 --> 00:09:26,560 Speaker 2: Just about never good. 200 00:09:26,960 --> 00:09:29,400 Speaker 3: The thing that I believe, yeah, the thing that I 201 00:09:29,440 --> 00:09:33,000 Speaker 3: believe is a bit of a misdemeanor that is being 202 00:09:33,640 --> 00:09:39,040 Speaker 3: sold to everybody, is that AI is changing the infrastructure 203 00:09:39,080 --> 00:09:42,439 Speaker 3: of the Internet and that we are interfacing with computers 204 00:09:42,440 --> 00:09:44,960 Speaker 3: a little bit differently. You know, you're using natural language 205 00:09:45,000 --> 00:09:47,839 Speaker 3: to engage with things. Now Google is trying to make 206 00:09:47,840 --> 00:09:50,440 Speaker 3: an answer machine. Plenty of people are moving over to 207 00:09:50,480 --> 00:09:53,560 Speaker 3: chad apt instead of using Google. But this kind of 208 00:09:53,600 --> 00:09:57,360 Speaker 3: notion that that AI is going to be in your 209 00:09:57,400 --> 00:09:59,880 Speaker 3: life and you're going to have to use it is 210 00:10:00,080 --> 00:10:02,680 Speaker 3: really just these companies trying to push their products to 211 00:10:02,800 --> 00:10:05,440 Speaker 3: actually get people to use them so they can be profitable. 212 00:10:05,840 --> 00:10:09,559 Speaker 3: You know, open ai has burned more capital than Uber, Tesla, 213 00:10:09,840 --> 00:10:15,240 Speaker 3: Netflix combined before they actually became profitable and more than 214 00:10:15,280 --> 00:10:17,760 Speaker 3: the third of the US economy is currently being propped 215 00:10:17,800 --> 00:10:20,080 Speaker 3: up by AI companies, So if they don't show a 216 00:10:20,120 --> 00:10:22,200 Speaker 3: profit within the next couple of years, a lot of 217 00:10:22,200 --> 00:10:24,920 Speaker 3: those investors are kind of come singing and we're going 218 00:10:24,960 --> 00:10:28,240 Speaker 3: to go into recessions. So these these companies are very 219 00:10:28,280 --> 00:10:31,120 Speaker 3: anxious that they need to actually make AI happen. 220 00:10:31,160 --> 00:10:32,000 Speaker 2: But in order to do. 221 00:10:31,920 --> 00:10:34,040 Speaker 3: That, they have to convince everyone that it's actually going 222 00:10:34,080 --> 00:10:35,319 Speaker 3: to be something they have to use. 223 00:10:35,520 --> 00:10:36,400 Speaker 2: That just isn't true. 224 00:10:36,440 --> 00:10:41,040 Speaker 1: And that's probably the best explanation of what I've I've 225 00:10:41,080 --> 00:10:44,000 Speaker 1: been hearing a lot of fluff about the potential for 226 00:10:44,040 --> 00:10:46,920 Speaker 1: an AI bubble to burst, but that your explanation of 227 00:10:46,960 --> 00:10:51,880 Speaker 1: it as probably the simplified version of it as opposed 228 00:10:51,920 --> 00:10:54,280 Speaker 1: to something i'd find in Wall Street Journal or CNBC. 229 00:10:56,120 --> 00:10:59,280 Speaker 3: Yeah, you know, they'll they'll have a lot of out 230 00:10:59,480 --> 00:11:02,360 Speaker 3: the inform on the edges there. I just think, at 231 00:11:02,400 --> 00:11:05,200 Speaker 3: the end of the day, if you're being told you 232 00:11:05,360 --> 00:11:07,880 Speaker 3: have to use this, you have to learn this. It's 233 00:11:07,920 --> 00:11:10,120 Speaker 3: the future. It's just because they want you to use 234 00:11:10,160 --> 00:11:13,480 Speaker 3: their product. But like the infrastructure is really the only 235 00:11:13,559 --> 00:11:15,920 Speaker 3: thing that is shifting, and at the end of the day, 236 00:11:15,960 --> 00:11:18,319 Speaker 3: things like this Disney deal. You know, Bob Biger said, oh, 237 00:11:18,360 --> 00:11:21,360 Speaker 3: now we're going to put Sora videos on Disney Plus. 238 00:11:21,520 --> 00:11:24,240 Speaker 3: It's like, can anyone actually show me any value there 239 00:11:24,280 --> 00:11:28,719 Speaker 3: besides making slot videos. You know, Bob Iger has an 240 00:11:28,720 --> 00:11:32,000 Speaker 3: incentive to say that Disney is highly invested in artificial 241 00:11:32,000 --> 00:11:34,560 Speaker 3: intelligence because it makes his stock go up. And that 242 00:11:34,640 --> 00:11:37,320 Speaker 3: happens for every corporation. If you say that you're an 243 00:11:37,320 --> 00:11:39,800 Speaker 3: AI company, your stock will go up. There are plenty 244 00:11:39,880 --> 00:11:42,800 Speaker 3: of companies that basically do nothing AI related. Or we're 245 00:11:42,840 --> 00:11:45,760 Speaker 3: already doing machine learning, which is what we called AI 246 00:11:45,920 --> 00:11:48,680 Speaker 3: before AI became a buzzword, who have been doing that 247 00:11:48,760 --> 00:11:52,120 Speaker 3: forever and now they're calling it artificial intelligence, or they're 248 00:11:52,120 --> 00:11:55,720 Speaker 3: trying to find ways to slam in generative AI into 249 00:11:55,760 --> 00:11:57,640 Speaker 3: their products. But at the end of the day, all 250 00:11:57,679 --> 00:12:00,760 Speaker 3: that's doing is taking away jobs from people like people 251 00:12:00,760 --> 00:12:03,200 Speaker 3: in Hollywood. So I don't think it's really good for 252 00:12:03,240 --> 00:12:05,760 Speaker 3: anyone except the billionaires that are lining their pocket marks. 253 00:12:06,720 --> 00:12:11,880 Speaker 1: That's probably true. David, thanks for your time today, appreciated. Yeah, 254 00:12:11,960 --> 00:12:14,720 Speaker 1: no problem, David Imil again tech journalists, you can follow 255 00:12:14,800 --> 00:12:19,320 Speaker 1: him on Twitter if you wish, Uh Dervid Imil d 256 00:12:19,480 --> 00:12:21,079 Speaker 1: u r vid Imil. 257 00:12:21,120 --> 00:12:23,320 Speaker 4: But his name is David, but dervit, you get it.