1 00:00:00,600 --> 00:00:03,720 Speaker 1: Already and this is this is the daily This is 2 00:00:03,760 --> 00:00:06,920 Speaker 1: the daily ohs oh, now it makes sense. 3 00:00:15,640 --> 00:00:18,320 Speaker 2: Good morning and welcome to the Daily OS. It's Monday, 4 00:00:18,360 --> 00:00:19,439 Speaker 2: the twenty seventh of May. 5 00:00:19,560 --> 00:00:20,840 Speaker 1: I'm Zara, I'm Sam. 6 00:00:21,239 --> 00:00:24,360 Speaker 2: Each week we hear more and more about how AI 7 00:00:24,640 --> 00:00:27,560 Speaker 2: is changing the world, whether that be for better or 8 00:00:27,600 --> 00:00:28,120 Speaker 2: for worse. 9 00:00:28,440 --> 00:00:32,040 Speaker 3: Artificial intelligence has become so advanced it has now surpassed 10 00:00:32,120 --> 00:00:34,680 Speaker 3: human performance on several basic tasks. 11 00:00:34,960 --> 00:00:37,520 Speaker 1: Some of the news you read is being written by AI, 12 00:00:37,760 --> 00:00:38,920 Speaker 1: and you wouldn't know it. 13 00:00:39,120 --> 00:00:41,400 Speaker 2: Now, one of the biggest news companies in the world, 14 00:00:41,680 --> 00:00:44,199 Speaker 2: News Corp, has signed a new deal with one of 15 00:00:44,200 --> 00:00:47,479 Speaker 2: the biggest AI companies in the world, Open Ai, and 16 00:00:47,520 --> 00:00:50,080 Speaker 2: the idea is to better train its AI bots with 17 00:00:50,200 --> 00:00:53,040 Speaker 2: news corps and news reports. Now, while we don't know 18 00:00:53,080 --> 00:00:55,960 Speaker 2: the details of the deal, it's understood to be worth 19 00:00:56,080 --> 00:00:59,760 Speaker 2: hundreds of millions of dollars. In today's podcast, we're going 20 00:00:59,800 --> 00:01:02,040 Speaker 2: to talk talk about that new deal, how the broader 21 00:01:02,080 --> 00:01:04,800 Speaker 2: industry is dealing with the growth of AI, and what 22 00:01:04,959 --> 00:01:08,280 Speaker 2: comes next. Before that, ZAM, what's making headlines. 23 00:01:11,160 --> 00:01:13,319 Speaker 1: Over six hundred and seventy people are believed to have 24 00:01:13,360 --> 00:01:16,399 Speaker 1: died in a landslide in Papua New Guinea. According to 25 00:01:16,600 --> 00:01:21,360 Speaker 1: estimates released by the UN's International Organization for Migration, the 26 00:01:21,480 --> 00:01:25,399 Speaker 1: landslide occurred in the remote village of Calcalam on Friday. 27 00:01:25,840 --> 00:01:29,319 Speaker 1: As a major rescue operation continues, Prime Minister Anthony Albernesi 28 00:01:29,440 --> 00:01:33,559 Speaker 1: said Australia stands ready to assist. US. President Joe Biden 29 00:01:33,680 --> 00:01:37,880 Speaker 1: also committed to delivering humanitarian assistance and disaster relief to 30 00:01:38,040 --> 00:01:38,560 Speaker 1: the region. 31 00:01:41,400 --> 00:01:44,240 Speaker 2: Optus is being taken to court over a twenty twenty 32 00:01:44,280 --> 00:01:48,040 Speaker 2: two data breach which saw around ten thousand customers personal 33 00:01:48,080 --> 00:01:53,240 Speaker 2: details published online. The Australian Communications and Media Authority AKMA 34 00:01:53,440 --> 00:01:55,640 Speaker 2: are taking Optis to court on the grounds that the 35 00:01:55,680 --> 00:01:59,960 Speaker 2: telecommunications company failed to protect the confidentiality of its customer 36 00:02:00,240 --> 00:02:03,480 Speaker 2: personal information. The media watchdog said the matter is now 37 00:02:03,520 --> 00:02:04,240 Speaker 2: before the court. 38 00:02:06,000 --> 00:02:09,400 Speaker 1: Over the weekend, the International Court of Justice ordered Israel 39 00:02:09,480 --> 00:02:13,560 Speaker 1: to quote immediately halt its military offensive in Rufa in 40 00:02:13,760 --> 00:02:17,680 Speaker 1: southern Gaza. More than eight hundred thousand Palestinians have been 41 00:02:17,720 --> 00:02:20,600 Speaker 1: forced to flee parts of Raffa in recent weeks as 42 00:02:20,720 --> 00:02:24,600 Speaker 1: Israel conducts military strikes in the area. The ICJS said 43 00:02:24,639 --> 00:02:27,960 Speaker 1: the humanitarian situation in Rafa should now be categorized as 44 00:02:28,040 --> 00:02:31,959 Speaker 1: quote disastrous. In response to the ruling, Israel's Ministry of 45 00:02:32,000 --> 00:02:34,680 Speaker 1: Foreign Affairs said it quote has not and will not 46 00:02:35,080 --> 00:02:38,560 Speaker 1: conduct military operations in the Raffa area, which may inflict 47 00:02:38,600 --> 00:02:42,240 Speaker 1: on the Palestinian civilian population in Gaza conditions of life 48 00:02:42,520 --> 00:02:44,760 Speaker 1: that could bring about its physical destruction. 49 00:02:47,120 --> 00:02:50,560 Speaker 2: And today's good news, the European Space Agency has given 50 00:02:50,600 --> 00:02:53,840 Speaker 2: the world a first glimpse of the dark universe with 51 00:02:53,960 --> 00:02:58,320 Speaker 2: new images showing distant clusters and galaxies. The Euclid telescope 52 00:02:58,360 --> 00:03:02,000 Speaker 2: captured what it called a treasure trial of unprecedented discoveries. 53 00:03:02,320 --> 00:03:04,359 Speaker 2: It's part of a mission that will work towards mapping 54 00:03:04,400 --> 00:03:08,520 Speaker 2: billions of galaxies and researching the formation of the universe. 55 00:03:10,840 --> 00:03:13,200 Speaker 2: And now we're going to take a quick break and 56 00:03:13,240 --> 00:03:18,440 Speaker 2: then the deep dive. NewsCorp and OpenAI, which is the 57 00:03:18,560 --> 00:03:22,040 Speaker 2: tech company that created chat GPT, have signed a multi 58 00:03:22,160 --> 00:03:26,880 Speaker 2: year content deal. NewsCorp, of course, is a multinational media 59 00:03:26,960 --> 00:03:29,079 Speaker 2: and publishing company founded by none. 60 00:03:29,000 --> 00:03:31,959 Speaker 3: Other than Rupert Murdock. We are familiar, We are familiar. 61 00:03:32,040 --> 00:03:36,320 Speaker 2: It owns several international several feels like an understatement, many 62 00:03:36,920 --> 00:03:41,960 Speaker 2: many plethora international and domestic titles, including The Wall Street Journal, 63 00:03:42,040 --> 00:03:44,920 Speaker 2: the Australian News, dot com dot Au. If we keep going, 64 00:03:44,960 --> 00:03:47,800 Speaker 2: we will be here all day, but many many titles 65 00:03:48,280 --> 00:03:51,880 Speaker 2: now under a new partnership, News Corpse content will be 66 00:03:52,000 --> 00:03:56,560 Speaker 2: used to respond to chat GPT's user questions. News Corps 67 00:03:56,560 --> 00:03:59,360 Speaker 2: CEO Robert Thompson said the deal will set new standards 68 00:03:59,360 --> 00:04:03,320 Speaker 2: for voracity, for virtue and for value in the digital age. 69 00:04:03,520 --> 00:04:06,080 Speaker 1: So this was really big news last week, not just 70 00:04:06,120 --> 00:04:09,240 Speaker 1: in media circles but in general news. Before we go 71 00:04:09,280 --> 00:04:11,600 Speaker 1: any further into the deal, can we just go back 72 00:04:11,600 --> 00:04:15,280 Speaker 1: and explain exactly what open ai is. It's chatjbt, right 73 00:04:15,560 --> 00:04:15,960 Speaker 1: it is. 74 00:04:16,040 --> 00:04:18,400 Speaker 2: So. It was launched by Sam Altman, who we have 75 00:04:18,480 --> 00:04:22,200 Speaker 2: dedicated many a podcast too, and Tesla owner Elon Musk, 76 00:04:22,240 --> 00:04:25,640 Speaker 2: who we have similarly dedicated many a podcast too. It 77 00:04:25,680 --> 00:04:28,640 Speaker 2: was launched in twenty fifteen and the company's state admission 78 00:04:28,839 --> 00:04:31,799 Speaker 2: was to benefit humanity as a whole. As you said, 79 00:04:31,839 --> 00:04:35,520 Speaker 2: open Ai is most known for launching the conversational chatbot 80 00:04:35,640 --> 00:04:38,919 Speaker 2: chat GPT, and that can generate things like essays and 81 00:04:39,000 --> 00:04:42,000 Speaker 2: poems and travel itineries if you're mean and going on 82 00:04:42,040 --> 00:04:42,680 Speaker 2: your honeymoon. 83 00:04:42,920 --> 00:04:44,640 Speaker 1: It was crazy you told me last week that you 84 00:04:44,680 --> 00:04:47,520 Speaker 1: asked chat GPT the best route for your honeymoon, and it. 85 00:04:47,480 --> 00:04:50,440 Speaker 2: Gave me I'm lazy and I don't have time, and 86 00:04:50,839 --> 00:04:52,719 Speaker 2: my chatbut gives me everything. 87 00:04:52,760 --> 00:04:55,000 Speaker 1: And my chatj BT hack of the week has been 88 00:04:55,040 --> 00:04:58,160 Speaker 1: if you upload a screenshot of a game into chat GPT, 89 00:04:58,320 --> 00:05:00,360 Speaker 1: it will give you the code to build that game. 90 00:05:00,560 --> 00:05:02,920 Speaker 1: I mean we're talking here about terrifying. We're talking here 91 00:05:02,920 --> 00:05:06,920 Speaker 1: about really powerful software. I mean amongst our friends, most 92 00:05:06,960 --> 00:05:09,120 Speaker 1: people are using it for things like writing speeches. 93 00:05:09,279 --> 00:05:11,520 Speaker 3: Yeah, holidays, every wedding speech we have been to. 94 00:05:11,720 --> 00:05:13,840 Speaker 2: The dad has got enough and made a joke about 95 00:05:13,839 --> 00:05:16,320 Speaker 2: how chat GPT has written the wedding speech. 96 00:05:16,120 --> 00:05:18,719 Speaker 1: As without fail. As with any new technology, it's working 97 00:05:18,760 --> 00:05:21,360 Speaker 1: its way into our lives in weird ways. But one 98 00:05:21,400 --> 00:05:23,760 Speaker 1: thing it hasn't been able to do is give us 99 00:05:23,800 --> 00:05:26,200 Speaker 1: reliable news content, right Yeah. 100 00:05:25,920 --> 00:05:29,360 Speaker 2: And I think that US journalists have been incredibly cocky 101 00:05:29,400 --> 00:05:31,440 Speaker 2: about this. You know, everyone else is fearing for their 102 00:05:31,520 --> 00:05:35,279 Speaker 2: jobs and the age of AI, and yet journos haven't 103 00:05:35,360 --> 00:05:38,200 Speaker 2: quite felt that in the same way. Because you know, 104 00:05:38,240 --> 00:05:40,480 Speaker 2: when you go on to the current free version of 105 00:05:40,560 --> 00:05:43,880 Speaker 2: chat GPT, and I went in and typed in, tell 106 00:05:43,880 --> 00:05:46,320 Speaker 2: me the latest about Julian or Sanche for example, big 107 00:05:46,320 --> 00:05:49,760 Speaker 2: news story. It came back with, I'm sorry for any confusion, 108 00:05:49,839 --> 00:05:53,000 Speaker 2: but I can't provide real time updates or information on 109 00:05:53,040 --> 00:05:56,560 Speaker 2: events occurring beyond my last training data in January twenty 110 00:05:56,560 --> 00:05:59,200 Speaker 2: twenty two. And so that is going to this idea 111 00:05:59,240 --> 00:06:02,800 Speaker 2: that AI to inevitably need to be fed the information 112 00:06:02,880 --> 00:06:05,800 Speaker 2: from somewhere and on a recurring basis, and they need 113 00:06:05,800 --> 00:06:08,480 Speaker 2: to be made smarter, and that that needs to be 114 00:06:08,560 --> 00:06:11,640 Speaker 2: a reflection of the kind of ever evolving nature of information. 115 00:06:11,760 --> 00:06:14,960 Speaker 2: If the last time this bot was taught about Julian 116 00:06:14,960 --> 00:06:17,200 Speaker 2: Assiunge was in twenty twenty two, it's got a lot 117 00:06:17,200 --> 00:06:19,520 Speaker 2: of learning to do. And so that's why this deal 118 00:06:19,560 --> 00:06:23,040 Speaker 2: with news Corp is such a big deal, because basically 119 00:06:23,240 --> 00:06:26,760 Speaker 2: NewsCorp has agreed to let open Ai use its content 120 00:06:27,160 --> 00:06:31,000 Speaker 2: to support chat GPT's responses and its learning and to 121 00:06:31,160 --> 00:06:33,839 Speaker 2: enhance the knowledge of its database and systems. 122 00:06:34,040 --> 00:06:37,440 Speaker 1: So basically, in your Julian Dessinge example, it could scrape 123 00:06:37,680 --> 00:06:40,280 Speaker 1: News Corps newspapers from all over the world and give 124 00:06:40,320 --> 00:06:41,400 Speaker 1: you an answer in real time. 125 00:06:41,480 --> 00:06:42,320 Speaker 3: Yeah, exactly. 126 00:06:42,520 --> 00:06:45,360 Speaker 2: And so NewsCorp, on their behalf have said that it's 127 00:06:45,360 --> 00:06:49,239 Speaker 2: sharing its resources to ensure the highest journalism standards exist 128 00:06:49,360 --> 00:06:54,200 Speaker 2: across open AI's products, which is interesting. On open ai side, 129 00:06:54,360 --> 00:06:56,480 Speaker 2: the CEO Sam Moltman said the deal was a proud 130 00:06:56,480 --> 00:06:58,760 Speaker 2: moment and he said it was setting the foundation for 131 00:06:58,760 --> 00:07:01,360 Speaker 2: a future where AI deep respects. 132 00:07:00,960 --> 00:07:02,240 Speaker 3: And I think that's an interesting word. 133 00:07:02,279 --> 00:07:06,599 Speaker 2: We're personifying AI here enhances and upholds the standards of 134 00:07:06,640 --> 00:07:08,159 Speaker 2: world class journalism. 135 00:07:08,400 --> 00:07:11,360 Speaker 1: Okay, so right now News Corp is saying open ai 136 00:07:11,480 --> 00:07:14,840 Speaker 1: you can have access to a significant volume of information 137 00:07:15,280 --> 00:07:17,640 Speaker 1: in real time. What are they getting in return? 138 00:07:18,200 --> 00:07:18,560 Speaker 3: Money? 139 00:07:18,760 --> 00:07:19,160 Speaker 1: Got it? 140 00:07:19,240 --> 00:07:21,840 Speaker 2: We don't know the specifics of the agreement because that's 141 00:07:21,880 --> 00:07:24,400 Speaker 2: not been made public by either News Corp or open Ai, 142 00:07:24,960 --> 00:07:26,800 Speaker 2: but NewsCorp would be getting a lot of money out 143 00:07:26,840 --> 00:07:30,400 Speaker 2: of this, and we had some NewsCorp publications reporting on 144 00:07:30,440 --> 00:07:32,360 Speaker 2: the deal that said could have been worth more than 145 00:07:32,400 --> 00:07:35,360 Speaker 2: two hundred and fifty million US dollars, so around three 146 00:07:35,440 --> 00:07:39,160 Speaker 2: hundred and eighty million Australian dollars over the next five years. 147 00:07:39,000 --> 00:07:40,760 Speaker 1: So ultimately a whole new revenue stream. 148 00:07:41,120 --> 00:07:44,600 Speaker 2: Yeah, and we know that in Australia Meta has ended 149 00:07:44,640 --> 00:07:49,240 Speaker 2: its funding for news organizations, including News Corp, and that 150 00:07:49,240 --> 00:07:52,679 Speaker 2: that would have left a gaping hole where those millions 151 00:07:52,680 --> 00:07:55,000 Speaker 2: had been coming in from Meta and so it's interesting 152 00:07:55,080 --> 00:07:57,760 Speaker 2: that NewsCorp has now kind of pivoted and is now 153 00:07:57,800 --> 00:08:00,840 Speaker 2: getting that money from another tech giant, which is open Ai. 154 00:08:01,320 --> 00:08:02,560 Speaker 3: The new kid on the scene. 155 00:08:02,880 --> 00:08:05,320 Speaker 1: Is NewsCorp the only news company to assign a deal? 156 00:08:05,720 --> 00:08:06,080 Speaker 3: They're not? 157 00:08:06,560 --> 00:08:08,640 Speaker 2: I mean I can confirm that the Daily Ohs hasn't 158 00:08:08,680 --> 00:08:14,000 Speaker 2: been approached for a multimillion Maybe touse Spam maybe check 159 00:08:14,000 --> 00:08:15,360 Speaker 2: it after this, but no. 160 00:08:15,720 --> 00:08:17,000 Speaker 3: There have been other deals met. 161 00:08:17,120 --> 00:08:20,160 Speaker 2: So we know that Politico, which is a political publication 162 00:08:20,240 --> 00:08:23,920 Speaker 2: and an international one, the Associated Press and French newspaper 163 00:08:24,040 --> 00:08:26,880 Speaker 2: Lamond have also got agreements with open Ai. 164 00:08:27,320 --> 00:08:29,640 Speaker 1: So there's clearly now a bit of a playbook for 165 00:08:29,720 --> 00:08:33,520 Speaker 1: media companies that's emerging of go to the AI companies 166 00:08:33,720 --> 00:08:35,520 Speaker 1: and do a deal. But are there other ways? 167 00:08:35,520 --> 00:08:38,720 Speaker 2: But those are only with open Ai. That's one AI company, 168 00:08:38,800 --> 00:08:39,360 Speaker 2: just to be clear. 169 00:08:39,760 --> 00:08:42,760 Speaker 1: So are there other ways that news companies and AI 170 00:08:42,920 --> 00:08:44,520 Speaker 1: are beginning to work each other out? 171 00:08:44,800 --> 00:08:45,920 Speaker 3: I think it's a good question. 172 00:08:46,080 --> 00:08:49,120 Speaker 2: I think that this is the big conversation as media 173 00:08:49,160 --> 00:08:52,320 Speaker 2: companies strategized, you know, we put our heads together at 174 00:08:52,360 --> 00:08:54,280 Speaker 2: our newsroom and figure out what we can do with AI. 175 00:08:54,480 --> 00:08:57,520 Speaker 2: This is happening in every single company around the world. 176 00:08:57,760 --> 00:09:00,520 Speaker 2: Like you can just imagine the millions being caught into 177 00:09:00,600 --> 00:09:03,440 Speaker 2: getting management consultants in to come up with, you know, 178 00:09:03,520 --> 00:09:06,920 Speaker 2: the next AI strategy for help company. 179 00:09:06,760 --> 00:09:09,040 Speaker 1: Or in information technology. 180 00:09:09,040 --> 00:09:11,960 Speaker 2: It's everywhere exactly and so obviously the News Corp deal 181 00:09:12,160 --> 00:09:15,719 Speaker 2: is one way to work with AI companies and it's 182 00:09:15,760 --> 00:09:18,240 Speaker 2: a fairly big step because, as I said, they're giving 183 00:09:18,280 --> 00:09:21,720 Speaker 2: access to their content straight to these AI companies to 184 00:09:21,800 --> 00:09:24,880 Speaker 2: make their machine learning smarter. But there are other companies 185 00:09:24,960 --> 00:09:28,520 Speaker 2: taking smaller steps. Sam Here at TDA, we have been 186 00:09:28,559 --> 00:09:31,000 Speaker 2: looking into, you know, for example, whether AI tools can 187 00:09:31,040 --> 00:09:34,160 Speaker 2: make some video editing a bit quicker. We film every 188 00:09:34,160 --> 00:09:36,640 Speaker 2: single podcast that we do. You can go watch this 189 00:09:36,720 --> 00:09:39,800 Speaker 2: on YouTube if you're that way inclined, and you know, 190 00:09:40,000 --> 00:09:42,719 Speaker 2: we have two cameras and are there AI tools that 191 00:09:42,800 --> 00:09:45,880 Speaker 2: can switch between those cameras automatically and that takes out 192 00:09:45,920 --> 00:09:47,960 Speaker 2: a bit of the manual labor that goes into editing 193 00:09:48,040 --> 00:09:51,240 Speaker 2: you know, this ten minute podcast for YouTube. I mean, 194 00:09:51,240 --> 00:09:53,240 Speaker 2: that's a very small step, but it's something that AI 195 00:09:53,480 --> 00:09:56,400 Speaker 2: can do. When I look to the rest of the industry, 196 00:09:56,480 --> 00:09:59,200 Speaker 2: I was looking around at how other media companies in 197 00:09:59,200 --> 00:10:02,280 Speaker 2: Australia are dealing with it, and I saw Channel nine 198 00:10:02,280 --> 00:10:06,160 Speaker 2: has recently started using a product called nine Express, and 199 00:10:06,200 --> 00:10:09,080 Speaker 2: that's to reformat their TV scripts. 200 00:10:08,640 --> 00:10:09,760 Speaker 3: Into digital stories. 201 00:10:09,760 --> 00:10:10,200 Speaker 1: Interesting. 202 00:10:10,360 --> 00:10:13,440 Speaker 2: So Channel nine houses, of course a number of different 203 00:10:13,640 --> 00:10:16,920 Speaker 2: companies underneath it, and we have the print journalism, there 204 00:10:16,960 --> 00:10:19,760 Speaker 2: is a TV journalism, and then there is a digital journalism. 205 00:10:20,320 --> 00:10:23,040 Speaker 2: And so in a discoimer on their website, nine says 206 00:10:23,520 --> 00:10:26,080 Speaker 2: nine Express makes things easier and quicker for our producers 207 00:10:26,080 --> 00:10:29,760 Speaker 2: and journalists across television and digital. They've then made really 208 00:10:29,800 --> 00:10:33,000 Speaker 2: clear in how it works section how they're actually using 209 00:10:33,000 --> 00:10:35,200 Speaker 2: the AI. So they say, and I quote here, a 210 00:10:35,240 --> 00:10:38,720 Speaker 2: television script contains a number of technical terms in jargon 211 00:10:39,040 --> 00:10:41,240 Speaker 2: so it can be used for a news report. We 212 00:10:41,320 --> 00:10:44,080 Speaker 2: take this originally created script which has been written by 213 00:10:44,120 --> 00:10:46,840 Speaker 2: a television reporter and producer, and then fact checked and 214 00:10:46,960 --> 00:10:50,120 Speaker 2: input it into nine Express. It is then reformatted to 215 00:10:50,120 --> 00:10:52,480 Speaker 2: be used as a digital tech story. It is checked 216 00:10:52,480 --> 00:10:55,360 Speaker 2: again by a producer before being published. It ends by 217 00:10:55,400 --> 00:10:58,080 Speaker 2: saying that nine remains committed to using new technologies in 218 00:10:58,080 --> 00:10:59,880 Speaker 2: a transparent and responsible way. 219 00:11:00,200 --> 00:11:03,600 Speaker 1: And in that very detailed setting out of exactly how 220 00:11:03,640 --> 00:11:05,600 Speaker 1: this process is working for nine, I think you can 221 00:11:05,640 --> 00:11:08,480 Speaker 1: start to identify some of the risks that are involved 222 00:11:08,559 --> 00:11:11,520 Speaker 1: with AI, and for the majority of this podcast, we've 223 00:11:11,520 --> 00:11:14,640 Speaker 1: talked about the opportunities that AI can present in newsrooms. 224 00:11:14,920 --> 00:11:18,079 Speaker 1: But the reality is, as that nine disclaimer mentioned, there 225 00:11:18,120 --> 00:11:20,880 Speaker 1: are major ethical and moral issues that arise. 226 00:11:20,640 --> 00:11:23,520 Speaker 2: And you have to be responsible exactly, and we've seen 227 00:11:23,559 --> 00:11:26,360 Speaker 2: some of those issues arise in other settings. So if 228 00:11:26,400 --> 00:11:29,240 Speaker 2: we look internationally, at the end of last year, the 229 00:11:29,280 --> 00:11:32,440 Speaker 2: New York Times launched legal action against open ai and 230 00:11:32,480 --> 00:11:36,960 Speaker 2: against Microsoft, which has invested billions into open ai, for 231 00:11:37,120 --> 00:11:40,040 Speaker 2: using the New York Times as news content without permission, 232 00:11:40,320 --> 00:11:42,719 Speaker 2: so basically doing the news corp thing, but without any 233 00:11:42,760 --> 00:11:45,520 Speaker 2: of the money or the recognition in doing so. The 234 00:11:45,559 --> 00:11:48,920 Speaker 2: New York Times claimed AI generated content threatens the times 235 00:11:48,920 --> 00:11:52,640 Speaker 2: as ability to provide journalism. They claimed that open ai 236 00:11:52,760 --> 00:11:55,080 Speaker 2: is taking materials from The New York Times to train 237 00:11:55,160 --> 00:11:58,040 Speaker 2: the AI, but they're not crediting or attributing that work 238 00:11:58,120 --> 00:12:01,120 Speaker 2: to The New York Times. According to The Times, the 239 00:12:01,160 --> 00:12:03,679 Speaker 2: AI chatbots seek to free ride on the Times as 240 00:12:03,760 --> 00:12:06,760 Speaker 2: massive investment in its journalism by using it to build 241 00:12:06,800 --> 00:12:09,640 Speaker 2: substitutive products without permission or payment. 242 00:12:10,160 --> 00:12:12,640 Speaker 1: Now, the doubta in me would say the news Corp. 243 00:12:12,679 --> 00:12:14,240 Speaker 1: Have gone to the table and done a deal with 244 00:12:14,280 --> 00:12:16,480 Speaker 1: Open AI, and The New York Times have done things 245 00:12:16,559 --> 00:12:19,439 Speaker 1: a slightly different way and broad lawsuit that could inevitably 246 00:12:19,559 --> 00:12:22,160 Speaker 1: end in a deal. Yes, this is kind of true, 247 00:12:22,200 --> 00:12:24,320 Speaker 1: sure roads to the same destination. But I think the 248 00:12:24,320 --> 00:12:26,720 Speaker 1: bottom line here is that AI is going to be 249 00:12:26,720 --> 00:12:29,160 Speaker 1: built into every industry on the planet, and news is 250 00:12:29,200 --> 00:12:31,880 Speaker 1: no different. And this News Corp deal is a real 251 00:12:31,960 --> 00:12:34,760 Speaker 1: big signal to the market from the biggest media company 252 00:12:34,760 --> 00:12:37,360 Speaker 1: in the world that this new technology is here to 253 00:12:37,440 --> 00:12:40,240 Speaker 1: stay exactly. Thanks for joining us on the Daily Ods 254 00:12:40,280 --> 00:12:41,880 Speaker 1: this morning. Hope you had a wonder full weekend and 255 00:12:41,920 --> 00:12:44,440 Speaker 1: you're off to a good start to your Monday. We'll 256 00:12:44,440 --> 00:12:46,319 Speaker 1: be here every day this week, so we'll see you 257 00:12:46,360 --> 00:12:51,240 Speaker 1: again tomorrow morning. Until then, have a good day. My 258 00:12:51,360 --> 00:12:54,240 Speaker 1: name is Lily Madden and I'm a proud Arunda Bungelung 259 00:12:54,360 --> 00:12:58,680 Speaker 1: Calcuttin woman from Gadigal Country. The Daily oz acknowledges that 260 00:12:58,760 --> 00:13:00,760 Speaker 1: this podcast is recorded ordered on the lands of the 261 00:13:00,760 --> 00:13:04,600 Speaker 1: Gadigal people and pays respect to all Aboriginal and Torrestrate 262 00:13:04,640 --> 00:13:07,559 Speaker 1: island and nations. We pay our respects to the first 263 00:13:07,559 --> 00:13:10,079 Speaker 1: peoples of these countries both past and present.