1 00:00:03,480 --> 00:00:11,160 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Is it just me? 2 00:00:11,520 --> 00:00:14,160 Speaker 1: Or is AI suddenly everywhere? 3 00:00:14,720 --> 00:00:17,919 Speaker 2: Right now? Both in the US and China ecosystem, The 4 00:00:18,000 --> 00:00:21,040 Speaker 2: AI space is racing on the breaks, taking. 5 00:00:20,840 --> 00:00:22,360 Speaker 3: Sea is everywhere. 6 00:00:22,520 --> 00:00:24,720 Speaker 4: It's not that big scary thing in the future. 7 00:00:25,040 --> 00:00:28,440 Speaker 1: AI is here with us. You open up Google and 8 00:00:28,600 --> 00:00:31,400 Speaker 1: instead of getting a list of websites, there's now often 9 00:00:31,520 --> 00:00:36,320 Speaker 1: an AI overview. This summary scraped together from a sometimes 10 00:00:36,360 --> 00:00:40,599 Speaker 1: strange variety of sources. One recently told me that cheese 11 00:00:41,159 --> 00:00:44,960 Speaker 1: was great at preventing cavities, citing the Cleveland Clinic, the 12 00:00:44,960 --> 00:00:50,960 Speaker 1: British Heart Foundation, and the noted Vermont cheesemaker Cabot as sources. 13 00:00:51,840 --> 00:00:55,200 Speaker 1: And it's not just Google. Apple wants to power its 14 00:00:55,320 --> 00:01:01,160 Speaker 1: iPhones with Google's Gemini generated AI, Alhibet. 15 00:01:00,680 --> 00:01:04,920 Speaker 2: And Meta, offering millions to Hollywood to partner on artificial intelligence. 16 00:01:05,319 --> 00:01:09,160 Speaker 1: From Instagram to customer service, even to healthcare, there's a 17 00:01:09,280 --> 00:01:13,440 Speaker 1: generative AI bot that seemingly has all the answers, if 18 00:01:13,480 --> 00:01:17,000 Speaker 1: not necessarily the correct ones. All this has led to 19 00:01:17,040 --> 00:01:27,480 Speaker 1: big questions recently about what's going into these models. On 20 00:01:27,560 --> 00:01:31,480 Speaker 1: today's episode, what's behind the recent AI headlines, and what 21 00:01:31,520 --> 00:01:34,040 Speaker 1: does all this mean for our ability to opt in 22 00:01:34,640 --> 00:01:38,679 Speaker 1: or opt out of using AI in the future. I'm 23 00:01:38,720 --> 00:01:41,679 Speaker 1: David Gurra, and this is the big take from Bloomberg News. 24 00:01:47,240 --> 00:01:49,560 Speaker 1: We're going to get back to those AI overview search 25 00:01:49,600 --> 00:01:52,440 Speaker 1: results a little bit later in this episode, but first 26 00:01:52,480 --> 00:01:55,080 Speaker 1: we're going to start unpacking all of this by looking 27 00:01:55,120 --> 00:01:59,120 Speaker 1: at what's been going on with another company, Open Ai. Well, 28 00:01:59,120 --> 00:02:01,760 Speaker 1: six months ago, the company behind chat GPT was in 29 00:02:01,800 --> 00:02:04,880 Speaker 1: the headlines after a leadership struggle broke out between the 30 00:02:04,880 --> 00:02:09,079 Speaker 1: company's founders. Now open Ai is back in the news 31 00:02:09,200 --> 00:02:10,760 Speaker 1: for a whole different reason. 32 00:02:11,120 --> 00:02:12,960 Speaker 4: So well, lot's been going on the last few weeks. 33 00:02:13,520 --> 00:02:15,440 Speaker 4: Sometimes in my head I call it as the Open 34 00:02:15,480 --> 00:02:16,240 Speaker 4: Ai turns. 35 00:02:16,880 --> 00:02:19,839 Speaker 1: Rachel Metz is an AI reporter with Bloomberg. She says 36 00:02:19,880 --> 00:02:22,920 Speaker 1: the open Ai soap opera got a new plotline a 37 00:02:22,919 --> 00:02:26,080 Speaker 1: few weeks ago when the company released an update to 38 00:02:26,200 --> 00:02:26,840 Speaker 1: Chat GPT. 39 00:02:27,280 --> 00:02:31,520 Speaker 4: They introduced their latest flagship AI model, This is GPT 40 00:02:31,760 --> 00:02:33,119 Speaker 4: four O. 41 00:02:33,120 --> 00:02:36,360 Speaker 1: Open Ai unveiled human sounding voices for chat GPT in 42 00:02:36,440 --> 00:02:40,280 Speaker 1: September of last year, but the update really only made 43 00:02:40,280 --> 00:02:43,240 Speaker 1: headlines a few weeks ago, after the company hosted a 44 00:02:43,280 --> 00:02:45,480 Speaker 1: live stream to show off what it considers to be 45 00:02:45,680 --> 00:02:46,880 Speaker 1: a big leap forward. 46 00:02:47,400 --> 00:02:50,200 Speaker 5: We'll be showing some live demos today to show the 47 00:02:50,280 --> 00:02:53,600 Speaker 5: full extent of the capabilities of our new model. 48 00:02:53,919 --> 00:02:57,079 Speaker 1: It was during the demonstration when open AI's Mark Chen 49 00:02:57,280 --> 00:03:00,040 Speaker 1: unveiled GPT four Oh's lifelike voices. 50 00:03:00,080 --> 00:03:02,240 Speaker 2: Hey, catching Fatu him Mark? How are you? 51 00:03:03,120 --> 00:03:08,000 Speaker 5: Oh, Mark, I'm doing great, Thanks for asking how about you? 52 00:03:08,040 --> 00:03:10,640 Speaker 1: That a lot of people notice that this voice sounded 53 00:03:10,680 --> 00:03:13,840 Speaker 1: remarkably like the voice of the actress Scarlett Johansson. 54 00:03:14,200 --> 00:03:17,280 Speaker 4: Oh, you're doing a live demb right now. That's awesome. 55 00:03:18,400 --> 00:03:22,680 Speaker 2: Just take a deep breath and remember you're the experts. 56 00:03:22,800 --> 00:03:27,799 Speaker 1: The perception was furthered when Sam Altman, OpenAI's reinstated CEO, 57 00:03:28,200 --> 00:03:32,400 Speaker 1: posted a single word to X after the event, Her, 58 00:03:32,960 --> 00:03:35,200 Speaker 1: which some took as a nod to the twenty thirteen 59 00:03:35,280 --> 00:03:38,560 Speaker 1: Spike Jones film in which johanson voice is the Open 60 00:03:38,680 --> 00:03:41,040 Speaker 1: Operating system Samantha. 61 00:03:40,800 --> 00:03:43,480 Speaker 4: And it turns out Scarlett Johansson thought it also sounded 62 00:03:43,520 --> 00:03:44,200 Speaker 4: a lot like her. 63 00:03:44,320 --> 00:03:48,080 Speaker 1: The thing is Altman had approached Johansson twice about potentially 64 00:03:48,120 --> 00:03:52,280 Speaker 1: working with open Ai, but Johansson turned him down. To 65 00:03:52,360 --> 00:03:55,160 Speaker 1: some watching, it felt like a bunch of Silicon Valley 66 00:03:55,200 --> 00:03:57,760 Speaker 1: types had ignored the wishes of one of Hollywood's most 67 00:03:57,760 --> 00:04:00,760 Speaker 1: famous actresses just so they could make the plot line 68 00:04:00,760 --> 00:04:02,440 Speaker 1: of a movie a reality. 69 00:04:02,760 --> 00:04:06,200 Speaker 4: She seemed quite genuinely upset about it and thought it 70 00:04:06,240 --> 00:04:09,640 Speaker 4: sounded like her, even though she had specifically said I 71 00:04:09,640 --> 00:04:12,600 Speaker 4: don't want to participate in this project on multiple occasions. 72 00:04:12,480 --> 00:04:15,680 Speaker 1: For anyone feeling anxious about the ubiquity of AI and 73 00:04:15,760 --> 00:04:19,479 Speaker 1: about the information these generative models are hoovering up the 74 00:04:19,560 --> 00:04:21,039 Speaker 1: dust up struck a nerve. 75 00:04:21,440 --> 00:04:23,960 Speaker 4: I think there's a few different things that go into 76 00:04:24,000 --> 00:04:28,679 Speaker 4: making people feel really alarmed by this. One is people 77 00:04:28,960 --> 00:04:33,520 Speaker 4: really like Scarlet Johanson. She is an iconic actress. Another 78 00:04:33,520 --> 00:04:35,880 Speaker 4: thing that I think is interesting about her in particular 79 00:04:36,080 --> 00:04:39,080 Speaker 4: is like yourself, David, as you were saying, you talk 80 00:04:39,200 --> 00:04:42,680 Speaker 4: for a living. Your voice is valuable. Her voice is 81 00:04:42,760 --> 00:04:46,120 Speaker 4: valuable as an actor, but it is also iconic. People 82 00:04:46,240 --> 00:04:49,400 Speaker 4: know her voice in part because of the movie her 83 00:04:49,760 --> 00:04:52,440 Speaker 4: but also just because she happens to have a voice 84 00:04:52,480 --> 00:04:56,120 Speaker 4: that is very easily recognizable. I think a less recognizable 85 00:04:56,200 --> 00:05:00,279 Speaker 4: voice people might not be taking as much to this issue. 86 00:05:00,400 --> 00:05:04,120 Speaker 1: Open AI says it never intended to use Johansson's voice 87 00:05:04,240 --> 00:05:05,400 Speaker 1: as one of its assistants. 88 00:05:05,800 --> 00:05:09,560 Speaker 4: Basically, what they said is they started working on the 89 00:05:09,640 --> 00:05:12,599 Speaker 4: voice feature way back in spring of twenty twenty three, 90 00:05:12,960 --> 00:05:16,120 Speaker 4: and they cast a number of voice actors for five 91 00:05:16,120 --> 00:05:18,720 Speaker 4: different voices and said that they were planning on her 92 00:05:18,760 --> 00:05:22,680 Speaker 4: being a sixth voice. So it's not they're saying, Look, 93 00:05:22,680 --> 00:05:24,760 Speaker 4: it's not that she would be that voice, or that 94 00:05:24,839 --> 00:05:27,000 Speaker 4: this voice is meant to sound like her. This is 95 00:05:27,040 --> 00:05:27,760 Speaker 4: another person. 96 00:05:28,240 --> 00:05:31,560 Speaker 1: But after the backlash from Johansson and the public, open 97 00:05:31,600 --> 00:05:35,560 Speaker 1: ai removed the voice, which Rachel says is something of 98 00:05:35,600 --> 00:05:38,640 Speaker 1: a turning point in terms of our ability to opt 99 00:05:38,680 --> 00:05:42,080 Speaker 1: out or at least push back against these generative models 100 00:05:42,480 --> 00:05:45,960 Speaker 1: that seemed to be pushing forward with seemingly few guardrails 101 00:05:45,960 --> 00:05:46,480 Speaker 1: in place. 102 00:05:46,800 --> 00:05:49,080 Speaker 4: A lot of consumers and a lot of artists are saying, 103 00:05:49,320 --> 00:05:51,839 Speaker 4: wait a minute, that's not what I signed up for 104 00:05:51,920 --> 00:05:54,240 Speaker 4: when I put this and that on the internet. 105 00:05:54,680 --> 00:05:57,480 Speaker 1: Just this week, open ai introduced a new safety board 106 00:05:57,680 --> 00:06:01,120 Speaker 1: led by CEO Sam Altman. Move came after the company 107 00:06:01,160 --> 00:06:03,760 Speaker 1: disbanded a team that had been created to focus on 108 00:06:03,800 --> 00:06:07,360 Speaker 1: the long term threat AI could post to humanity. Some 109 00:06:07,400 --> 00:06:11,400 Speaker 1: former insiders are saying that probably won't be enough, including 110 00:06:11,440 --> 00:06:15,080 Speaker 1: former OpenAI board member Helen Toner. Toner told the ted 111 00:06:15,120 --> 00:06:18,160 Speaker 1: Ai Show podcast this week that she had concerns about 112 00:06:18,160 --> 00:06:21,640 Speaker 1: Altman's commitment to safety based on his past behavior. 113 00:06:22,040 --> 00:06:26,160 Speaker 2: On multiple occasions he gave us inaccurate information about the 114 00:06:26,200 --> 00:06:29,280 Speaker 2: small number of formal safety processes that the company did 115 00:06:29,279 --> 00:06:32,320 Speaker 2: have in place, meaning that it was basically impossible for 116 00:06:32,360 --> 00:06:35,000 Speaker 2: the board to know how well those safety processes we're 117 00:06:35,000 --> 00:06:36,960 Speaker 2: working or what might need to change. 118 00:06:37,360 --> 00:06:40,160 Speaker 1: And it's not just open ai that's been getting some pushback. 119 00:06:41,800 --> 00:06:44,400 Speaker 1: After the break, we take a look at another sector 120 00:06:44,560 --> 00:06:47,839 Speaker 1: that's grappling with how and when to fight developments in 121 00:06:47,920 --> 00:06:50,960 Speaker 1: generative AI. Can we weigh up whether or not any 122 00:06:51,000 --> 00:06:53,240 Speaker 1: of this will be enough to shake up what some 123 00:06:53,400 --> 00:06:57,040 Speaker 1: are calling the raw deal at the center of AI. 124 00:07:03,560 --> 00:07:06,599 Speaker 1: Open Ai is certainly not the only company racing to 125 00:07:06,640 --> 00:07:10,880 Speaker 1: release new AI products. There are startups like Anthropic and 126 00:07:11,040 --> 00:07:14,880 Speaker 1: Elon Musk's Xai, which just announced this week it raised 127 00:07:15,000 --> 00:07:19,320 Speaker 1: six billion dollars, giving the company a valuation of twenty 128 00:07:19,320 --> 00:07:23,520 Speaker 1: four billion dollars. There's also Meta, which recently rolled out 129 00:07:23,560 --> 00:07:27,320 Speaker 1: its ask meta feature to Facebook and Instagram and WhatsApp. 130 00:07:27,800 --> 00:07:32,120 Speaker 1: And then there's Alphabet, which just added those AI overviews 131 00:07:32,160 --> 00:07:33,120 Speaker 1: to Google. 132 00:07:33,200 --> 00:07:36,720 Speaker 5: So iioverviews they announced this Developers conference. 133 00:07:37,000 --> 00:07:40,400 Speaker 1: Dave Lee is a Bloomberg opinion columnist. He recently attended 134 00:07:40,400 --> 00:07:43,640 Speaker 1: the Google Developer Conference, where the company unveiled this latest 135 00:07:43,720 --> 00:07:45,120 Speaker 1: change to its search engine. 136 00:07:45,240 --> 00:07:48,240 Speaker 3: The result is a product that does the work for you. 137 00:07:49,080 --> 00:07:53,960 Speaker 3: Google Search is generative AI at the scale of human curiosity, 138 00:07:54,480 --> 00:07:56,960 Speaker 3: and it's our most exciting chapter of search yet. 139 00:07:57,440 --> 00:08:00,440 Speaker 5: And basically what it does is it's all builds on 140 00:08:00,440 --> 00:08:02,920 Speaker 5: something that's already been on Google. If you search for, 141 00:08:03,440 --> 00:08:06,280 Speaker 5: you know, who are the Beatles, you'll get like a 142 00:08:06,280 --> 00:08:08,080 Speaker 5: sort of fact box, and it will have pictures and 143 00:08:08,120 --> 00:08:10,600 Speaker 5: a quote from Wikipedia and all that kind of stuff. 144 00:08:10,880 --> 00:08:13,400 Speaker 5: Aio overviews is sort of that, and then some. 145 00:08:14,800 --> 00:08:19,040 Speaker 1: AI overview synthesizes information from a host of different sources 146 00:08:19,120 --> 00:08:22,280 Speaker 1: into a generated answer, similar to something you'd get if 147 00:08:22,320 --> 00:08:25,480 Speaker 1: you typed a question into say Open AI's chat GPT. 148 00:08:26,280 --> 00:08:28,240 Speaker 1: At the bottom, there are some links to where that 149 00:08:28,280 --> 00:08:31,400 Speaker 1: information came from if you're curious, which is all well 150 00:08:31,400 --> 00:08:34,439 Speaker 1: and good for Google, but critics of this approach point 151 00:08:34,480 --> 00:08:38,560 Speaker 1: out that it deprioritizes going directly to a source, and 152 00:08:38,600 --> 00:08:41,199 Speaker 1: that means less traffic to those sites. 153 00:08:41,600 --> 00:08:44,000 Speaker 5: If you're the website that's crazing that information. Why on 154 00:08:44,040 --> 00:08:47,440 Speaker 5: earth would you continue to do it if you know 155 00:08:47,480 --> 00:08:49,640 Speaker 5: for all these popular searches, you're not going to get 156 00:08:49,640 --> 00:08:52,760 Speaker 5: that kickback of traffic, which means that revenue, which means 157 00:08:53,320 --> 00:08:56,959 Speaker 5: continuing to exist. And that's a really, really big fear 158 00:08:57,040 --> 00:08:58,280 Speaker 5: with AI overviews. 159 00:08:58,760 --> 00:09:01,280 Speaker 1: Google has it rolled out the feature to every search 160 00:09:01,559 --> 00:09:04,160 Speaker 1: just yet, but the mere prospect that it will do 161 00:09:04,280 --> 00:09:08,560 Speaker 1: so has created an existential threat for news publishers. But 162 00:09:08,640 --> 00:09:11,800 Speaker 1: Dave says it's not just news publishers who should be worried. 163 00:09:12,040 --> 00:09:13,920 Speaker 5: I also think there's a big problem for Google as well, 164 00:09:13,960 --> 00:09:18,520 Speaker 5: because because Google needs this web ecosystem to exist. And 165 00:09:18,840 --> 00:09:20,679 Speaker 5: I didn't get the sense, and I tooked to a 166 00:09:20,720 --> 00:09:24,680 Speaker 5: Google executive afterwards their event, I didn't get the sense 167 00:09:24,720 --> 00:09:28,400 Speaker 5: that they really quite comprehended how damaging and how quickly 168 00:09:28,440 --> 00:09:29,200 Speaker 5: damaging it might be. 169 00:09:30,840 --> 00:09:35,120 Speaker 1: This web ecosystem can only exist if publishers can stay 170 00:09:35,120 --> 00:09:38,480 Speaker 1: in business. One way that AI companies have been attempting 171 00:09:38,520 --> 00:09:41,400 Speaker 1: to solve this puzzle is by cutting publishers into some 172 00:09:41,480 --> 00:09:46,400 Speaker 1: of their current and potentially future profits. Take open ai again. 173 00:09:47,240 --> 00:09:49,440 Speaker 5: So what they've been doing is going to going out 174 00:09:49,520 --> 00:09:52,520 Speaker 5: to as many publishers as they can trying to come 175 00:09:52,600 --> 00:09:57,000 Speaker 5: up with these deals to allow open Eye or whoever 176 00:09:58,160 --> 00:10:01,960 Speaker 5: use that information from those publishers on their lash anguish models. 177 00:10:02,160 --> 00:10:05,160 Speaker 1: And some publishers have agreed to take these deals, including 178 00:10:05,160 --> 00:10:08,320 Speaker 1: The Atlantic and Vox Media, both of which ink deals 179 00:10:08,320 --> 00:10:11,240 Speaker 1: on Wednesday. What are the terms of the deals? What's 180 00:10:11,800 --> 00:10:13,000 Speaker 1: what's the incentive for them to do this? 181 00:10:13,120 --> 00:10:15,000 Speaker 5: I wish I'd seen the terms of the deals. I mean, 182 00:10:15,080 --> 00:10:17,000 Speaker 5: this is one of the criticisms of these deals is 183 00:10:17,000 --> 00:10:19,080 Speaker 5: that we don't know a great deal of what, you know, 184 00:10:19,080 --> 00:10:20,720 Speaker 5: the nitty gritty here, what's happening. 185 00:10:21,320 --> 00:10:22,360 Speaker 1: Some publishers, yes. 186 00:10:22,880 --> 00:10:25,600 Speaker 5: Have made deals. The most notable one is News Corporation 187 00:10:25,920 --> 00:10:27,440 Speaker 5: for a lot of money, for a lot of money, 188 00:10:27,600 --> 00:10:30,520 Speaker 5: two hundred and fifty million over five years. Now that 189 00:10:30,559 --> 00:10:32,760 Speaker 5: doesn't necessarily mean they're getting a nice big check for 190 00:10:32,760 --> 00:10:34,839 Speaker 5: two hundred and fifty million, because part of that deal 191 00:10:35,000 --> 00:10:38,880 Speaker 5: is using open ai technology within news Corps and what 192 00:10:38,920 --> 00:10:40,720 Speaker 5: that looks like we don't know. We don't know whether 193 00:10:40,760 --> 00:10:42,959 Speaker 5: open Ai has said, guess what, using our technology is 194 00:10:43,000 --> 00:10:45,400 Speaker 5: worth one hundred million dollars a year. We don't have 195 00:10:45,440 --> 00:10:49,280 Speaker 5: those details, which is very frustrating, But you know, there 196 00:10:49,360 --> 00:10:52,520 Speaker 5: is there is a willingness to make friends of open 197 00:10:52,559 --> 00:10:56,200 Speaker 5: AI because there's a general feeling. And the chairman of Lamont, 198 00:10:56,360 --> 00:10:59,760 Speaker 5: the French newspaper. I'm paraphrasing here, but he basically said, look, 199 00:10:59,760 --> 00:11:02,840 Speaker 5: even we do this with them and we get some money, 200 00:11:03,320 --> 00:11:05,600 Speaker 5: or they do it anyway with our content and we 201 00:11:05,640 --> 00:11:08,520 Speaker 5: have no control over it and we don't benefit, and 202 00:11:08,520 --> 00:11:10,160 Speaker 5: it's going to harm us as a publisher. 203 00:11:10,600 --> 00:11:13,559 Speaker 1: Dave says he believes publishers are making a big mistake 204 00:11:13,840 --> 00:11:17,120 Speaker 1: by agreeing to sell their content to open AI, even 205 00:11:17,160 --> 00:11:21,000 Speaker 1: if he understands the economic incentives pushing them to strike 206 00:11:21,040 --> 00:11:24,600 Speaker 1: deals that could help insulate them against potential revenue short 207 00:11:24,640 --> 00:11:27,800 Speaker 1: falls in the future. And there are some holdouts. 208 00:11:28,360 --> 00:11:31,040 Speaker 5: The big one at the moment is the New York Times. 209 00:11:31,320 --> 00:11:35,160 Speaker 5: They suit open AI. They said them for copyright infringement, 210 00:11:35,200 --> 00:11:37,120 Speaker 5: which is going to be an interesting one to make 211 00:11:37,160 --> 00:11:40,199 Speaker 5: in court because their argument is that when you said 212 00:11:40,200 --> 00:11:44,120 Speaker 5: certain things the chat GPT, it would recreate bits of 213 00:11:44,200 --> 00:11:47,600 Speaker 5: timed journalism and that was copyright infringement. There won't be 214 00:11:47,640 --> 00:11:49,360 Speaker 5: a preliminary hearing in that case for it for a 215 00:11:49,400 --> 00:11:51,480 Speaker 5: number of months, which is you know, just kind of 216 00:11:51,480 --> 00:11:53,640 Speaker 5: goes to show. I mean, think how much has changed 217 00:11:53,640 --> 00:11:55,640 Speaker 5: an AI in just the last two years or so. 218 00:11:56,120 --> 00:11:57,960 Speaker 5: You know, with every passing day, it feels like this 219 00:11:58,040 --> 00:12:00,240 Speaker 5: challenge is getting bigger and bigger and bigger. 220 00:12:00,320 --> 00:12:03,600 Speaker 1: There's also another group called old in Global Capital, which 221 00:12:03,679 --> 00:12:05,840 Speaker 1: owns a bunch of titles like The New York Daily 222 00:12:05,920 --> 00:12:08,840 Speaker 1: News and The Chicago Tribune. They're using the same sort 223 00:12:08,880 --> 00:12:11,880 Speaker 1: of logic to sue open AI and adding another element. 224 00:12:12,520 --> 00:12:14,440 Speaker 1: It has to do with a well known flaw in 225 00:12:14,520 --> 00:12:17,160 Speaker 1: a lot of generative AI tools we've been using, which 226 00:12:17,280 --> 00:12:20,720 Speaker 1: is their propensity to hallucinate or make up answers. 227 00:12:21,120 --> 00:12:24,720 Speaker 5: That's another interesting thing because these hallucinations couldn't be damaging 228 00:12:24,720 --> 00:12:27,560 Speaker 5: to these news brands as well. If these machines are saying, 229 00:12:27,760 --> 00:12:29,920 Speaker 5: you know, crunching two bits of information and saying, well, 230 00:12:29,920 --> 00:12:31,560 Speaker 5: that came from such and such and it might not. 231 00:12:31,960 --> 00:12:35,200 Speaker 1: What does that mean for the news industry. If publishers 232 00:12:35,200 --> 00:12:38,560 Speaker 1: are reluctant to or unable to opt out from what 233 00:12:38,800 --> 00:12:41,000 Speaker 1: these AI companies are trying to do. 234 00:12:42,120 --> 00:12:46,319 Speaker 5: That's a profound question. Right, publishers have had perilous business 235 00:12:46,400 --> 00:12:49,400 Speaker 5: models for so long now, and sort of one by 236 00:12:49,440 --> 00:12:51,839 Speaker 5: one they've been they've been sort of removed by bits 237 00:12:51,880 --> 00:12:54,480 Speaker 5: of tech, you know, whether it was Craigslist for classifieds 238 00:12:54,559 --> 00:12:56,439 Speaker 5: or you know, Google just getting a lot of the 239 00:12:56,480 --> 00:13:00,000 Speaker 5: advertising revenue from from one over the place. You've got 240 00:13:00,120 --> 00:13:03,080 Speaker 5: this situation where I think, already, and we've seen this 241 00:13:03,160 --> 00:13:05,920 Speaker 5: from the reaction to AI overviews from just regular users, 242 00:13:06,320 --> 00:13:09,439 Speaker 5: there is a suspicion of these sort of computer generated 243 00:13:09,559 --> 00:13:12,000 Speaker 5: fits of information. I saw a great quote and it's 244 00:13:12,000 --> 00:13:13,600 Speaker 5: gone around the Internet so much now that I've no 245 00:13:13,640 --> 00:13:15,600 Speaker 5: idea who first said it, which is kind of good 246 00:13:15,600 --> 00:13:17,200 Speaker 5: because it kind of just belongs to us all now. 247 00:13:17,760 --> 00:13:19,120 Speaker 5: And one of them was, you know, why would I 248 00:13:19,160 --> 00:13:21,640 Speaker 5: be bothered to read something you couldn't be bothered to write? 249 00:13:22,160 --> 00:13:25,080 Speaker 5: And I kind of hope. I hope that sort of 250 00:13:25,720 --> 00:13:28,200 Speaker 5: attitude is going to persist. I hold I hope that 251 00:13:28,960 --> 00:13:32,000 Speaker 5: people will care about human made things, whether it's newspapers 252 00:13:32,120 --> 00:13:33,440 Speaker 5: or movies or books or whatever. 253 00:13:33,880 --> 00:13:36,360 Speaker 1: But for now, at least, there isn't an easy way 254 00:13:36,400 --> 00:13:39,240 Speaker 1: to opt down. Here's Bloomberg's Rachel Mets again. 255 00:13:40,440 --> 00:13:43,440 Speaker 4: These companies that are ingesting tons and tons and tons 256 00:13:43,679 --> 00:13:47,160 Speaker 4: of data using that to train their AI systems, And 257 00:13:47,240 --> 00:13:49,520 Speaker 4: if we want these AI systems to get better, the 258 00:13:49,559 --> 00:13:53,720 Speaker 4: current prevailing thought is we need more data and more 259 00:13:53,720 --> 00:13:56,760 Speaker 4: compute to make them more better. That is how it's 260 00:13:56,760 --> 00:13:58,800 Speaker 4: working right now. I have my own thoughts about whether 261 00:13:58,840 --> 00:14:00,640 Speaker 4: that will be true in the future, but right now, 262 00:14:00,679 --> 00:14:03,120 Speaker 4: that's what we're seeing, is we're getting better results from 263 00:14:03,160 --> 00:14:06,280 Speaker 4: more data and more compute. And in that sense, we're 264 00:14:06,400 --> 00:14:09,640 Speaker 4: all sort of opted in in various ways, depending on 265 00:14:09,920 --> 00:14:11,760 Speaker 4: how much of our lives have been lived on the 266 00:14:11,760 --> 00:14:14,160 Speaker 4: Internet and how much of that data these companies are using. 267 00:14:14,600 --> 00:14:17,280 Speaker 1: But just because we're all effectively opted in, whether we 268 00:14:17,440 --> 00:14:19,640 Speaker 1: like it or not, doesn't mean that we don't have 269 00:14:19,680 --> 00:14:22,360 Speaker 1: a say in how our data are written, words, and 270 00:14:22,400 --> 00:14:25,560 Speaker 1: our voices are being used, even if we're not all 271 00:14:25,560 --> 00:14:28,720 Speaker 1: as famous as Scarlett Johansson. Rachel says, the fact that 272 00:14:28,760 --> 00:14:32,040 Speaker 1: OpenAI listened, that it pulled the Sky Voice in the 273 00:14:32,040 --> 00:14:36,240 Speaker 1: face of a public outcry, means there's room to well 274 00:14:36,800 --> 00:14:40,560 Speaker 1: have a voice in how generative AI gets developed and used. 275 00:14:40,960 --> 00:14:44,800 Speaker 4: I don't like to think that anything with technology is inevitable. 276 00:14:45,760 --> 00:14:47,920 Speaker 4: I like to think that we have a lot of 277 00:14:47,920 --> 00:14:50,920 Speaker 4: control over what happens, and I think that what we're 278 00:14:50,920 --> 00:14:54,720 Speaker 4: seeing with some of this pushback recently against this voice 279 00:14:54,880 --> 00:14:58,360 Speaker 4: that people feel and Scarlet Johansson feels sounds like Scarlett Johansson. 280 00:14:58,600 --> 00:15:00,480 Speaker 4: I feel like that's a really good examp love it. 281 00:15:00,720 --> 00:15:03,080 Speaker 4: So I feel like that's sort of a hopeful sign, 282 00:15:03,160 --> 00:15:05,640 Speaker 4: right that we still have agency and we still have control. 283 00:15:10,160 --> 00:15:13,000 Speaker 1: This is the Big Take from Bloomberg News. I'm David Gura. 284 00:15:13,600 --> 00:15:16,680 Speaker 1: This episode was produced by Thomas lu It was edited 285 00:15:16,680 --> 00:15:19,640 Speaker 1: by Aaron Edwards. It was mixed by Blake Maples. It 286 00:15:19,720 --> 00:15:23,240 Speaker 1: was fact checked by Adriana Tapia. Our senior producers are 287 00:15:23,280 --> 00:15:27,440 Speaker 1: Kim Gittleson and Naomi Shaven. Our senior editor is Elizabeth Ponso. 288 00:15:28,120 --> 00:15:31,400 Speaker 1: Nicole Beemster bor is our executive producer. Sage Bauman is 289 00:15:31,400 --> 00:15:35,080 Speaker 1: our head of podcasts. Thanks for listening. Please follow and 290 00:15:35,120 --> 00:15:37,840 Speaker 1: review The Big Take wherever you get your podcasts. It 291 00:15:37,920 --> 00:15:40,920 Speaker 1: helps new listeners find the show. We'll be back tomorrow.