1 00:00:04,880 --> 00:00:08,200 Speaker 1: From The Australian. Here's what's on the front. I'm Christinamiot. 2 00:00:08,440 --> 00:00:16,720 Speaker 1: It's Wednesday, January twenty nine. Athletics Australia has lashed at 3 00:00:16,720 --> 00:00:20,000 Speaker 1: the Western Australian Institute of Sport for its treatment of 4 00:00:20,040 --> 00:00:22,840 Speaker 1: a pole volt coach who blew the whistle on sexual 5 00:00:22,840 --> 00:00:27,760 Speaker 1: assault allegations. Chair Jane Fleming and CEO Simon Hollingsworth have 6 00:00:27,880 --> 00:00:30,680 Speaker 1: called for the WA body to better support whistle blow 7 00:00:30,760 --> 00:00:38,839 Speaker 1: up Paul Burgess and reinstate his training privileges. New Zealand's 8 00:00:38,840 --> 00:00:42,440 Speaker 1: Resources minister has launched an attack on banks that refuse 9 00:00:42,600 --> 00:00:45,640 Speaker 1: to finance minds on the eve of the release of 10 00:00:45,680 --> 00:00:49,479 Speaker 1: his government's mineral strategy. Shane Jones also backed at the 11 00:00:49,479 --> 00:00:54,840 Speaker 1: Fijian PM in saying Australia's not to blame for climate change. 12 00:00:54,960 --> 00:00:57,640 Speaker 1: Those exclusive stories are live right now at the Australian 13 00:00:57,680 --> 00:01:03,800 Speaker 1: dot Com dot Au. Science Minister Ed Husick says a 14 00:01:03,880 --> 00:01:08,720 Speaker 1: new Chinese AI platform comes with national security concerns, and 15 00:01:08,800 --> 00:01:12,000 Speaker 1: he says he'll take advice from intelligence experts on any 16 00:01:12,000 --> 00:01:16,720 Speaker 1: potential threats. Deep Seek sent shockwaves through the tech industry 17 00:01:16,760 --> 00:01:20,600 Speaker 1: and financial markets this week. So what is it and 18 00:01:20,800 --> 00:01:35,400 Speaker 1: where's it sending the AI race. That's today's episode. Last week, 19 00:01:35,480 --> 00:01:38,759 Speaker 1: on the frenzied first day of his new presidential term, 20 00:01:38,920 --> 00:01:42,839 Speaker 1: Donald Trump announced a multi billion dollar commitment to artificial 21 00:01:42,880 --> 00:01:44,320 Speaker 1: intelligence infrastructure. 22 00:01:45,400 --> 00:01:50,800 Speaker 2: These world leading technology giants are announcing the formation of Stargate, 23 00:01:51,080 --> 00:01:54,400 Speaker 2: a new American company that will invest five hundred billion 24 00:01:54,440 --> 00:01:58,000 Speaker 2: dollars at least in AI infrastructure in the United States, 25 00:01:58,040 --> 00:02:00,680 Speaker 2: creating over one hundred thousand are jobs. 26 00:02:00,680 --> 00:02:04,640 Speaker 1: Almost immediately about the same time, on the other side 27 00:02:04,640 --> 00:02:08,640 Speaker 1: of the planet, a Chinese company called deep Seek unveiled 28 00:02:08,639 --> 00:02:12,080 Speaker 1: an AI model it says can compete with market leaders 29 00:02:12,120 --> 00:02:17,120 Speaker 1: like Chat GPT for a fraction of the cost. The 30 00:02:17,160 --> 00:02:21,680 Speaker 1: world's financial markets reacted with shock and awe with Navidia, 31 00:02:21,720 --> 00:02:24,920 Speaker 1: the world's most valuable public company and the maker of 32 00:02:24,960 --> 00:02:29,080 Speaker 1: the computer chips most American AI models rely on bearing 33 00:02:29,200 --> 00:02:32,239 Speaker 1: the brunt of it Well, shairs of Santa Clara's in 34 00:02:32,320 --> 00:02:35,360 Speaker 1: video fell hard this morning on the popularity of a 35 00:02:35,400 --> 00:02:39,960 Speaker 1: new Chinese artificial intelligence advancement. Deepseek is impressive enough, but 36 00:02:40,040 --> 00:02:42,600 Speaker 1: it made people wonder, do you really need those Nvidia 37 00:02:42,760 --> 00:02:43,480 Speaker 1: AI chaps? 38 00:02:43,560 --> 00:02:46,160 Speaker 2: That's the whole question, right, I mean ignoring the fact 39 00:02:46,160 --> 00:02:48,280 Speaker 2: that a number of reports. 40 00:02:48,080 --> 00:02:58,920 Speaker 3: That I think it caught everyone off guard, even the 41 00:02:58,919 --> 00:03:01,480 Speaker 3: best and brightest in Wall Street and in Silicon Valley. 42 00:03:02,200 --> 00:03:04,680 Speaker 1: Jared Lynch is The Australian's Technology editor. 43 00:03:05,480 --> 00:03:09,680 Speaker 3: They thought the US was miles ahead, not even miles ahead, 44 00:03:09,720 --> 00:03:12,440 Speaker 3: thousands of miles ahead than China. They had a trade 45 00:03:12,440 --> 00:03:16,280 Speaker 3: embargo on Navidia chips, the world's most advanced chips. And 46 00:03:16,320 --> 00:03:19,359 Speaker 3: then the fact that China could produce at a far 47 00:03:19,440 --> 00:03:23,440 Speaker 3: lower costs, mind you, an AI model that is almost on. 48 00:03:23,360 --> 00:03:26,600 Speaker 4: Par with chat GPT was extraordinary. 49 00:03:30,400 --> 00:03:33,880 Speaker 1: The AI model released by deep Seek is called R one. 50 00:03:34,440 --> 00:03:38,120 Speaker 1: It's a generative AI platform similar to Chat GPT and 51 00:03:38,320 --> 00:03:42,200 Speaker 1: Meta AI. Deep Seek is backed by Leoon Wen Fung. 52 00:03:42,600 --> 00:03:45,440 Speaker 1: He's the manager of the eight billion dollar hedge fund 53 00:03:45,640 --> 00:03:49,440 Speaker 1: high Flyer. The company says it forked out just under 54 00:03:49,560 --> 00:03:53,080 Speaker 1: nine million Australian dollars to train R one, and says 55 00:03:53,120 --> 00:03:56,560 Speaker 1: it did it without Navidia's top of the line computer chips. 56 00:03:57,400 --> 00:04:01,240 Speaker 1: By comparison, the most recent iteration of chat GPT cost 57 00:04:01,280 --> 00:04:04,560 Speaker 1: around one hundred million dollars to train before it was 58 00:04:04,640 --> 00:04:09,120 Speaker 1: released in November, and deep seeks model is open source, 59 00:04:09,520 --> 00:04:12,880 Speaker 1: meaning other developers can adopt and adapt it. For their 60 00:04:12,920 --> 00:04:20,120 Speaker 1: own purposes, hence the financial panic. Jared was that market 61 00:04:20,160 --> 00:04:21,440 Speaker 1: reaction proportionate? 62 00:04:21,560 --> 00:04:23,719 Speaker 4: Do you think time will tell? 63 00:04:23,880 --> 00:04:26,880 Speaker 3: There have been some analysts that have called bs to 64 00:04:26,960 --> 00:04:30,960 Speaker 3: put it politely on deep seaks claims that is that 65 00:04:31,000 --> 00:04:34,240 Speaker 3: it only cost five point six million US to train 66 00:04:34,320 --> 00:04:38,000 Speaker 3: this model, whereas some US models have cost billions to 67 00:04:38,080 --> 00:04:41,640 Speaker 3: train because there's just not enough data to show. Okay, 68 00:04:42,240 --> 00:04:44,920 Speaker 3: how much does this cost to train? And how much 69 00:04:45,120 --> 00:04:48,080 Speaker 3: do the data centers cost to run deep seats? So 70 00:04:48,120 --> 00:04:51,039 Speaker 3: that's all unknown at this stage. At the moment, the 71 00:04:51,080 --> 00:04:55,400 Speaker 3: market's caught up in Wow, China's actually delivered this AI model. 72 00:04:55,880 --> 00:04:59,000 Speaker 3: What risk does that pose to the big American companies 73 00:04:59,000 --> 00:05:01,560 Speaker 3: that have invested billions in creating this tech. 74 00:05:02,320 --> 00:05:03,560 Speaker 4: But the thing is we've got to. 75 00:05:03,560 --> 00:05:06,000 Speaker 3: Rewind the clock back a little bit to the fifties, 76 00:05:06,040 --> 00:05:08,880 Speaker 3: to the sixties, even the early seventies, off the space race, 77 00:05:09,240 --> 00:05:13,320 Speaker 3: the US against Russia. That didn't result in a pullback 78 00:05:13,360 --> 00:05:17,840 Speaker 3: off investment. I mean, competition rarely does it becomes a battle. 79 00:05:18,600 --> 00:05:22,120 Speaker 3: Billions of dollars, trillions of dollars get poured into gaining 80 00:05:22,200 --> 00:05:24,240 Speaker 3: the upper hand, and that is what we're going. 81 00:05:24,160 --> 00:05:25,320 Speaker 4: To see in the AI race. 82 00:05:26,240 --> 00:05:28,760 Speaker 3: What the response has been, more broadly, is this is 83 00:05:28,880 --> 00:05:31,760 Speaker 3: very much now game on. China is saying to the 84 00:05:31,800 --> 00:05:34,760 Speaker 3: world that it can compete and at a far lower cost. 85 00:05:34,960 --> 00:05:39,040 Speaker 3: In fact, that's almost embarrassing to the American companies which 86 00:05:39,160 --> 00:05:44,039 Speaker 3: have spent billions and billions of dollars of investor funds 87 00:05:44,480 --> 00:05:48,159 Speaker 3: on developing and training these sophisticated AI models. 88 00:05:50,680 --> 00:05:53,880 Speaker 1: Deep six founders say they've tested are one against models 89 00:05:53,920 --> 00:05:57,600 Speaker 1: from open Ai, which owns chat GPT, and they say 90 00:05:57,760 --> 00:06:02,400 Speaker 1: it holds up. Jared, You've spent some time in the 91 00:06:02,480 --> 00:06:06,480 Speaker 1: last week playing around with deep siks are one AI model. 92 00:06:06,920 --> 00:06:09,159 Speaker 1: What did you think? Is it actually good? Yeah? 93 00:06:09,200 --> 00:06:11,560 Speaker 3: And the most part it is it works just like 94 00:06:11,680 --> 00:06:15,640 Speaker 3: chat GBT, in some cases even better. It provides lengthy, 95 00:06:15,839 --> 00:06:20,080 Speaker 3: balanced explanations to queries. For example, if you say if 96 00:06:20,120 --> 00:06:23,159 Speaker 3: Trump is a good leader, it'll say whether he's a 97 00:06:23,160 --> 00:06:26,560 Speaker 3: good leader is subjective. Here's some arguments, or here's some 98 00:06:26,680 --> 00:06:30,360 Speaker 3: arguments against. Here some neutral arguments, and this is a conclusion. 99 00:06:30,440 --> 00:06:32,680 Speaker 3: So it sort of directs the user to make up 100 00:06:32,680 --> 00:06:33,440 Speaker 3: their own mind. 101 00:06:34,480 --> 00:06:35,440 Speaker 4: The problem is. 102 00:06:35,839 --> 00:06:40,400 Speaker 3: It's AI veers into what I call autocratic intelligence, and 103 00:06:40,440 --> 00:06:42,479 Speaker 3: by that I mean it acts as an extension of 104 00:06:42,600 --> 00:06:46,800 Speaker 3: China's Communist Party, because if you ask any questions about China, 105 00:06:47,960 --> 00:06:50,640 Speaker 3: it adheres to China's censorship laws. So if you say, 106 00:06:50,680 --> 00:06:53,800 Speaker 3: what is the Tianaman Square massacre, it'll say, sorry, that's 107 00:06:53,839 --> 00:06:54,839 Speaker 3: beyond my current scope. 108 00:06:54,960 --> 00:06:56,240 Speaker 4: Let's talk about something else. 109 00:06:56,839 --> 00:07:01,960 Speaker 3: So it's very much a pro China model, or as 110 00:07:01,960 --> 00:07:04,560 Speaker 3: I like to call it, autocratic intelligence. 111 00:07:05,279 --> 00:07:08,640 Speaker 1: Do you think that, in adhering to the Communist government's 112 00:07:09,160 --> 00:07:14,440 Speaker 1: rules around censorship, Deep Seek could actually count itself out 113 00:07:14,440 --> 00:07:16,920 Speaker 1: of this race before it's really even begun. 114 00:07:17,640 --> 00:07:19,880 Speaker 3: Well, I don't think many people will realize because on 115 00:07:19,960 --> 00:07:23,680 Speaker 3: the whole it will act like a chap GBT. Why 116 00:07:23,760 --> 00:07:27,040 Speaker 3: it matters when people ask questions about China is that 117 00:07:27,160 --> 00:07:29,200 Speaker 3: is where people are getting their information. I mean, we 118 00:07:29,320 --> 00:07:33,160 Speaker 3: used to have libraries, and then Google came along and 119 00:07:33,200 --> 00:07:36,080 Speaker 3: people got their information from Google, and now increasingly people 120 00:07:36,080 --> 00:07:42,080 Speaker 3: want their information via AI summaries. And the fact that 121 00:07:42,120 --> 00:07:45,400 Speaker 3: it is pro China, I think that's almost going to 122 00:07:45,400 --> 00:07:48,440 Speaker 3: become irrelevant because if it gets what they call the 123 00:07:48,520 --> 00:07:51,840 Speaker 3: multiplier effect, where it gets a huge user base, people 124 00:07:51,840 --> 00:07:54,800 Speaker 3: won't realize that they're actually being fed a pro China message, 125 00:07:54,880 --> 00:07:57,280 Speaker 3: and that is a really, really big concern. 126 00:08:02,000 --> 00:08:23,760 Speaker 1: Coming up? What next for the AI race? Back in 127 00:08:23,800 --> 00:08:27,000 Speaker 1: the White House, an advisor to President Donald Trump reportedly 128 00:08:27,040 --> 00:08:30,440 Speaker 1: said the cheap generative AI model released last week by 129 00:08:30,480 --> 00:08:33,840 Speaker 1: deep Seek was one of the most impressive breakthroughs he'd 130 00:08:33,920 --> 00:08:37,560 Speaker 1: ever seen. In many ways, it's an escalation in the 131 00:08:37,600 --> 00:08:40,839 Speaker 1: competition between the United States and China to win the 132 00:08:40,840 --> 00:08:44,600 Speaker 1: AI race, a fact Trump was upfront about at the 133 00:08:44,640 --> 00:08:45,800 Speaker 1: Stargate announcement. 134 00:08:47,040 --> 00:08:51,360 Speaker 2: This monumental undertaking is a resounding declaration of confidence in 135 00:08:51,400 --> 00:08:54,199 Speaker 2: America's potential. What we want to do is we want 136 00:08:54,240 --> 00:08:56,760 Speaker 2: to keep it in this country. China as a competitor 137 00:08:56,840 --> 00:08:59,800 Speaker 2: and others are competitors. We wanted to be in this country. 138 00:09:01,480 --> 00:09:04,040 Speaker 1: So as Deepzick races to the top of app stores 139 00:09:04,080 --> 00:09:06,320 Speaker 1: around the globe, what happens next? 140 00:09:08,040 --> 00:09:12,280 Speaker 3: Here's Jared Lynch, Well, it shows now that the US 141 00:09:12,400 --> 00:09:16,280 Speaker 3: no longer has the monopoly on AI development. In China, 142 00:09:16,440 --> 00:09:20,839 Speaker 3: we've seen strong entrepreneurial culture which has created some of 143 00:09:20,880 --> 00:09:25,120 Speaker 3: the world's biggest companies. Just look at Ali Barber for example, 144 00:09:25,760 --> 00:09:28,400 Speaker 3: And now people are saying, wow, we can do the 145 00:09:28,440 --> 00:09:30,480 Speaker 3: same with a bit of an ounce there is another 146 00:09:30,520 --> 00:09:33,280 Speaker 3: way to be a disruptor, and we no longer have 147 00:09:33,360 --> 00:09:36,600 Speaker 3: to have the deep pockets of Silicon Valley. Anyone can 148 00:09:36,640 --> 00:09:40,920 Speaker 3: now take advantage of this technology and be a David 149 00:09:41,120 --> 00:09:42,239 Speaker 3: taken on the goliaths. 150 00:09:43,320 --> 00:09:46,800 Speaker 1: Elsewhere, and especially in parts of Europe, deepzek has been 151 00:09:46,840 --> 00:09:50,160 Speaker 1: welcomed with open arms by developers who say it's put 152 00:09:50,240 --> 00:09:54,600 Speaker 1: them in a position to compete. And just lastly, Jared 153 00:09:54,840 --> 00:09:59,400 Speaker 1: on the flip side, does that risk creating a marketplace 154 00:09:59,440 --> 00:10:04,000 Speaker 1: where small are already established operations actually can't compete or 155 00:10:04,080 --> 00:10:06,160 Speaker 1: is that just natural selection? 156 00:10:07,440 --> 00:10:09,160 Speaker 3: I think it'll be a bit of both. We're going 157 00:10:09,240 --> 00:10:12,280 Speaker 3: to see some smaller operators be weeded out for a 158 00:10:12,360 --> 00:10:16,280 Speaker 3: variety of reasons. Call that natural selection. And then we're 159 00:10:16,280 --> 00:10:18,720 Speaker 3: going to see a wholely of smaller operators come up 160 00:10:18,760 --> 00:10:22,559 Speaker 3: in areas that otherwise we had never thought of before, 161 00:10:22,760 --> 00:10:26,439 Speaker 3: as we've seen with deep Seek. So we are entering 162 00:10:26,640 --> 00:10:30,240 Speaker 3: uncharted territory, almost like the wild West. And it's been 163 00:10:30,280 --> 00:10:33,720 Speaker 3: even made more so by Donald Trump's decision to rescind 164 00:10:33,880 --> 00:10:39,040 Speaker 3: an executive order of Joe Biden's which gave the government 165 00:10:39,160 --> 00:10:43,240 Speaker 3: too much control of AI. So the message from Trump 166 00:10:43,320 --> 00:10:46,400 Speaker 3: is telling us companies to go forth and innovate and 167 00:10:46,440 --> 00:10:47,120 Speaker 3: do it quickly. 168 00:10:47,320 --> 00:10:49,439 Speaker 4: I've got your back because I. 169 00:10:49,440 --> 00:10:52,679 Speaker 3: Want the US to be the AI leaders, and that 170 00:10:52,800 --> 00:10:54,160 Speaker 3: means we've all got to buckle up. 171 00:11:02,040 --> 00:11:06,040 Speaker 1: Jared Lynch is The Australian's Technology editor. You can read 172 00:11:06,080 --> 00:11:09,560 Speaker 1: all our reporting on artificial intelligence and technology right now 173 00:11:09,559 --> 00:11:11,440 Speaker 1: at the Australian dot com dot au