1 00:00:00,040 --> 00:00:03,080 Speaker 1: France. Catherer Field morning to you. Good morning mate, there's 2 00:00:03,160 --> 00:00:06,200 Speaker 1: a Macron announcement of one hundred and nine billion euros 3 00:00:06,240 --> 00:00:09,039 Speaker 1: for AI investment. Who's one hundred and nine billion? Is 4 00:00:09,080 --> 00:00:10,840 Speaker 1: he's spending there or is that all in the on 5 00:00:10,880 --> 00:00:11,720 Speaker 1: the neber Never. 6 00:00:12,600 --> 00:00:18,360 Speaker 2: Well, he says that various investment funds from the Gulf States, Canada, America, 7 00:00:18,600 --> 00:00:21,360 Speaker 2: quite a lot of French investment is going into that. 8 00:00:21,880 --> 00:00:25,920 Speaker 2: He's really all in on AI, Mike. Just essentially today 9 00:00:26,600 --> 00:00:29,200 Speaker 2: Monday here in France, and on Tuesday he's got this 10 00:00:29,280 --> 00:00:32,519 Speaker 2: big summit going on in Paris where we're seeing a 11 00:00:32,560 --> 00:00:34,640 Speaker 2: lot of the world leaders turn up there as well 12 00:00:34,680 --> 00:00:38,640 Speaker 2: as a open AI Boss Google Boss is there. What 13 00:00:38,800 --> 00:00:42,120 Speaker 2: he's saying, Mike, is that the technology is there, the 14 00:00:42,200 --> 00:00:46,159 Speaker 2: advanced technology is there, the NOHOW is there, and France 15 00:00:46,240 --> 00:00:49,640 Speaker 2: can really go at it now that in terms of innovation, 16 00:00:50,000 --> 00:00:53,280 Speaker 2: the companies have got what they need. And of course 17 00:00:53,320 --> 00:00:55,600 Speaker 2: the big change in all this that everyone's been looking 18 00:00:55,680 --> 00:00:59,280 Speaker 2: at has been the announcement that Deep Seek the Chinese 19 00:01:00,240 --> 00:01:03,120 Speaker 2: ability to develop AI showed that they could deal with 20 00:01:03,200 --> 00:01:06,720 Speaker 2: fewer resources. That was a real turning point the French 21 00:01:06,840 --> 00:01:10,600 Speaker 2: thing because it showed that AI could be developed much cheaper. 22 00:01:11,240 --> 00:01:14,720 Speaker 2: Research and developing costs much much cheaper, and it suddenly 23 00:01:14,840 --> 00:01:18,880 Speaker 2: became a highly competitive market. So that's what Macron is 24 00:01:18,920 --> 00:01:22,480 Speaker 2: hoping for. He says that the innovation is there, it 25 00:01:22,520 --> 00:01:25,840 Speaker 2: can be done, but you do, of course need to 26 00:01:25,880 --> 00:01:27,679 Speaker 2: have and this is where it all gets a bit 27 00:01:27,760 --> 00:01:30,360 Speaker 2: stick you might as well as what it will cost, 28 00:01:30,440 --> 00:01:33,399 Speaker 2: and the manpower that needs to be trained is governance. 29 00:01:33,520 --> 00:01:36,040 Speaker 2: And what he's relying on there is the fact that 30 00:01:36,080 --> 00:01:39,440 Speaker 2: the European Union later this year will come into effect 31 00:01:39,959 --> 00:01:43,840 Speaker 2: their binding rules on AI, and that really is sort 32 00:01:43,880 --> 00:01:48,080 Speaker 2: of quite firm on the specific uses of AI. The 33 00:01:48,200 --> 00:01:52,720 Speaker 2: higher risks such as manipulation, deception that won't be allowed, 34 00:01:52,840 --> 00:01:55,720 Speaker 2: that will be shut down, and of course other things 35 00:01:55,840 --> 00:01:59,080 Speaker 2: like disclosure obligations. People have to be told if they're 36 00:01:59,120 --> 00:02:01,800 Speaker 2: going to be talking to a chatpot, those sorts of things. 37 00:02:01,840 --> 00:02:04,600 Speaker 2: So also, you know, as well as the innovation, looking 38 00:02:04,600 --> 00:02:08,400 Speaker 2: at the ethical side of it, the conformity, and hoping 39 00:02:08,480 --> 00:02:11,040 Speaker 2: that more people will come forward with money, and of 40 00:02:11,040 --> 00:02:14,480 Speaker 2: course there's two hundred billion New Zealand dollars worth. It 41 00:02:14,560 --> 00:02:16,760 Speaker 2: looks a lot, but when you look at, say, for example, 42 00:02:16,800 --> 00:02:20,960 Speaker 2: what the Americans are putting into AI. Yeah, it's not there. 43 00:02:21,120 --> 00:02:24,320 Speaker 2: But of course this has upset the Americans, particularly Jdie Vance, 44 00:02:24,360 --> 00:02:27,280 Speaker 2: who's turning up here at anytime now. He said that 45 00:02:27,320 --> 00:02:30,480 Speaker 2: the Americans are really very angry about what he calls 46 00:02:30,639 --> 00:02:33,320 Speaker 2: censorship of American platforms in Europe. 47 00:02:33,440 --> 00:02:35,320 Speaker 1: Okay, let me come back to that, JD in just 48 00:02:35,320 --> 00:02:37,360 Speaker 1: a couple of moments. Because AI is taken tech as 49 00:02:37,520 --> 00:02:39,239 Speaker 1: X and X has got trouble. Is this a big 50 00:02:39,240 --> 00:02:41,120 Speaker 1: deal with probe and France Iberix. 51 00:02:42,160 --> 00:02:46,640 Speaker 2: It is a big deal, mostly because cybercrime has really 52 00:02:46,680 --> 00:02:50,160 Speaker 2: been treated here in France pretty much the same as 53 00:02:50,240 --> 00:02:55,080 Speaker 2: computer hacking. They regarded as if you've got a social 54 00:02:55,120 --> 00:02:58,840 Speaker 2: media platform, you have got a responsibility, so you cannot 55 00:02:58,840 --> 00:03:03,520 Speaker 2: do things like algorithm, you cannot have interference from management. 56 00:03:04,000 --> 00:03:06,160 Speaker 2: And so we've got this case that's just been put 57 00:03:06,240 --> 00:03:10,160 Speaker 2: forward by the Saber Crime Prosecutor's office saying that X 58 00:03:10,240 --> 00:03:16,400 Speaker 2: has been favoring propaganda and it's own messaging over real news. 59 00:03:16,440 --> 00:03:20,320 Speaker 2: So they're saying that's actually not right, it is biased news. 60 00:03:20,400 --> 00:03:25,919 Speaker 2: They also say that there's allegations that's hateful, racist content 61 00:03:26,000 --> 00:03:30,400 Speaker 2: that's aimed at not just hurting people but also skewing 62 00:03:30,440 --> 00:03:33,960 Speaker 2: the democratic debate, So that's got a lot of interest 63 00:03:34,040 --> 00:03:36,920 Speaker 2: here as well as last week in Germany at German 64 00:03:36,960 --> 00:03:39,800 Speaker 2: court ordered X to hand over all of the data 65 00:03:39,880 --> 00:03:43,760 Speaker 2: it had collected on politically related content. Again, we're looking 66 00:03:43,760 --> 00:03:48,040 Speaker 2: at engagement data, so trying to make X as responsible 67 00:03:48,080 --> 00:03:50,840 Speaker 2: as it can in what is becoming a very difficult 68 00:03:51,560 --> 00:03:53,280 Speaker 2: democratic debate here in Europe. 69 00:03:53,440 --> 00:03:55,920 Speaker 1: Just back to JD is does he know do you reckon? 70 00:03:55,960 --> 00:03:58,360 Speaker 1: He knows what Donald's thinking about tariffs? Or he just 71 00:03:58,400 --> 00:03:59,640 Speaker 1: sort of comes in and sees a whole lot of 72 00:03:59,680 --> 00:04:02,040 Speaker 1: random stuff. And how worried about tariffs in general are you? 73 00:04:02,080 --> 00:04:04,200 Speaker 1: And is our terriffs even being talked about with JD? 74 00:04:05,120 --> 00:04:08,240 Speaker 2: Well, it's going to be a very interesting getting to 75 00:04:08,280 --> 00:04:09,960 Speaker 2: know you, isn't it. Mate. This is the first time 76 00:04:10,000 --> 00:04:11,800 Speaker 2: that they're going to actually get to see him in 77 00:04:11,840 --> 00:04:14,880 Speaker 2: the flash talk to him. No one's quite sure what 78 00:04:14,960 --> 00:04:19,520 Speaker 2: to expect, especially when it comes to these tariffs. What's 79 00:04:19,560 --> 00:04:22,320 Speaker 2: he going to talk about? Also, don't get Later on 80 00:04:22,360 --> 00:04:24,600 Speaker 2: this week he's going to be at the Munich Security 81 00:04:24,800 --> 00:04:28,320 Speaker 2: conference where he's supposed to be meeting Selensky, So no 82 00:04:28,360 --> 00:04:30,760 Speaker 2: one knows. We've been hearing all this stuff, and of 83 00:04:30,760 --> 00:04:33,640 Speaker 2: course the big question will be even if what he says, 84 00:04:34,600 --> 00:04:37,320 Speaker 2: you know, finds the residence here, is that really what 85 00:04:37,520 --> 00:04:40,039 Speaker 2: Donald Trump is thinking? And will that still be the case? 86 00:04:40,120 --> 00:04:41,040 Speaker 2: Twelve hours later? 87 00:04:41,200 --> 00:04:43,160 Speaker 1: Yeah, I was just watching him. Riah, finally enough. I 88 00:04:43,200 --> 00:04:45,599 Speaker 1: know he's brought his whole family, including three kids. So 89 00:04:45,880 --> 00:04:48,800 Speaker 1: at least they sent him off to Disneyland. I guess I. 90 00:04:50,680 --> 00:04:53,760 Speaker 2: Suppose they can go to Disneyland. It's raining, it's really 91 00:04:53,800 --> 00:04:55,919 Speaker 2: grotty February weather, so they might not enjoy it. 92 00:04:55,920 --> 00:04:58,160 Speaker 1: Then, all right, Nice to see Katherine Casperfield in France. 93 00:04:58,200 --> 00:04:59,880 Speaker 1: By the way, just before we leave Europe, I'm reading 94 00:05:00,040 --> 00:05:03,960 Speaker 1: headline house Spain's economy became the envy of Europe. And 95 00:05:04,040 --> 00:05:05,520 Speaker 1: you know how they did it? Gosh, they did it 96 00:05:05,520 --> 00:05:09,040 Speaker 1: with tourism. They are at rivaling France for the ninety 97 00:05:09,040 --> 00:05:11,320 Speaker 1: four million people went to Spain last year. I mean 98 00:05:11,320 --> 00:05:13,039 Speaker 1: a few of them got squirted with water guns. But 99 00:05:13,080 --> 00:05:15,719 Speaker 1: big that as it may, It seriously affected the economy. 100 00:05:16,120 --> 00:05:19,520 Speaker 1: France does about one hundred million industries. Tourism industry's post 101 00:05:19,560 --> 00:05:23,800 Speaker 1: COVID expansion major reason why the Eurozone's fourth biggest economy 102 00:05:23,960 --> 00:05:28,400 Speaker 1: is easily outgrowing Germany, France, Italy, The United Kingdom their 103 00:05:28,400 --> 00:05:32,240 Speaker 1: GDP last year growth growth growth member growth three point 104 00:05:32,440 --> 00:05:35,400 Speaker 1: two percent, and they did it with tourism. There's an 105 00:05:35,440 --> 00:05:38,479 Speaker 1: idea for more from the mic Asking Breakfast. 106 00:05:38,640 --> 00:05:41,960 Speaker 2: Listen live to news talks. It'd be from six am weekdays, 107 00:05:42,200 --> 00:05:44,240 Speaker 2: or follow the podcast on iHeartRadio