1 00:00:07,360 --> 00:00:11,600 Speaker 1: We're witnessing a historical transformation in how we organize our societies, 2 00:00:11,640 --> 00:00:15,280 Speaker 1: our economies, and our politics. That is a premise for 3 00:00:15,320 --> 00:00:26,280 Speaker 1: today's conversation. I'm Asimazar. Welcome to the Exponentially Podcast. One 4 00:00:26,320 --> 00:00:28,760 Speaker 1: of the key assumptions behind this question is that the 5 00:00:28,840 --> 00:00:32,440 Speaker 1: really big turning points in history have been driven by technology. 6 00:00:33,080 --> 00:00:36,480 Speaker 1: We know that agriculture, the technology of food production, gave 7 00:00:36,560 --> 00:00:40,199 Speaker 1: birth to civilization. We know that Gutenberg's invention of the 8 00:00:40,240 --> 00:00:44,040 Speaker 1: printing press allowed ideas to travel faster and further than 9 00:00:44,080 --> 00:00:49,120 Speaker 1: ever before, transforming European societies. And we know that two 10 00:00:49,240 --> 00:00:51,960 Speaker 1: hundred and fifty years later, the invention of the first 11 00:00:52,040 --> 00:00:55,440 Speaker 1: commercial steam engine marked the beginning of the Industrial Revolution, 12 00:00:55,920 --> 00:01:00,000 Speaker 1: a revolution that would ultimately reshape global power. To understand 13 00:01:00,040 --> 00:01:02,680 Speaker 1: and if today's technologies are doing the same, I've come 14 00:01:02,680 --> 00:01:05,800 Speaker 1: to Stanford University to meet a historian. He's a world 15 00:01:05,840 --> 00:01:10,200 Speaker 1: expert on that intersection of economics, politics and technology, Professor 16 00:01:10,280 --> 00:01:17,280 Speaker 1: Neil Ferguson. This show is called Exponentially, and what we're 17 00:01:17,400 --> 00:01:21,759 Speaker 1: trying to investigate is the extent to which this series 18 00:01:21,840 --> 00:01:27,760 Speaker 1: of interconnected changes, particularly rapid technological change, but also the 19 00:01:27,800 --> 00:01:32,280 Speaker 1: climate crisis and things like pandemics that are all different 20 00:01:32,319 --> 00:01:36,760 Speaker 1: but somehow related, whether they are buzzing around in a 21 00:01:36,800 --> 00:01:40,679 Speaker 1: sort of febrile fever that might reflect some kind of 22 00:01:40,800 --> 00:01:42,840 Speaker 1: change in the way that we live our lives. Do 23 00:01:42,959 --> 00:01:47,520 Speaker 1: you see, as I do, complicated domains that are changing very, 24 00:01:47,600 --> 00:01:50,120 Speaker 1: very quickly, or are we overreading what we're seeing. 25 00:01:51,040 --> 00:01:54,240 Speaker 2: Well, if you went into the typical windowless room full 26 00:01:54,280 --> 00:02:01,279 Speaker 2: of professional chatter merchants from the various eats of the world, 27 00:02:01,320 --> 00:02:04,880 Speaker 2: the financial elite, the academic elite, the political elite, and 28 00:02:05,400 --> 00:02:08,480 Speaker 2: you ask that kind of question, I think the answers 29 00:02:08,560 --> 00:02:13,240 Speaker 2: would include, well, there are some huge paradigm shift happening 30 00:02:13,280 --> 00:02:17,160 Speaker 2: in the global climate that will have terrible consequences. There 31 00:02:17,200 --> 00:02:21,919 Speaker 2: are technological changes, particularly in the area of artificial intelligence, 32 00:02:22,040 --> 00:02:26,040 Speaker 2: that are exponential, with the rapid growth of large language models, 33 00:02:26,600 --> 00:02:30,760 Speaker 2: and it's all very scary. And somebody will say because 34 00:02:30,880 --> 00:02:33,200 Speaker 2: we're in a poly crisis and everything is happening all 35 00:02:33,240 --> 00:02:35,760 Speaker 2: at once, and this is unprecedented, which just means they 36 00:02:35,760 --> 00:02:37,680 Speaker 2: don't know any history. So let's just run a thought 37 00:02:37,680 --> 00:02:41,160 Speaker 2: experiment supposing you and I were having this conversation with 38 00:02:41,280 --> 00:02:44,720 Speaker 2: somewhat different technology in nineteen twenty three, rather right twenty 39 00:02:44,800 --> 00:02:47,800 Speaker 2: twenty three. I'm sure that there would be somebody in 40 00:02:47,840 --> 00:02:51,520 Speaker 2: the windowless room who would say, well, we've just had 41 00:02:51,560 --> 00:02:55,639 Speaker 2: a tremendous pandemic in nineteen eighteen nineteen and a huge conflict. 42 00:02:56,280 --> 00:03:00,120 Speaker 2: The world is being driven crazy by inflation, and and 43 00:03:00,120 --> 00:03:04,080 Speaker 2: there are these alarming breakthroughs in technology that are producing 44 00:03:04,520 --> 00:03:08,440 Speaker 2: moving pictures at cinema, and it feels like they would 45 00:03:08,480 --> 00:03:14,120 Speaker 2: have had some sense of impending disaster. And I think 46 00:03:14,240 --> 00:03:17,720 Speaker 2: we have to therefore guard against saying things that were 47 00:03:17,760 --> 00:03:20,520 Speaker 2: also being said one hundred years ago, and indeed might 48 00:03:20,600 --> 00:03:22,000 Speaker 2: have been said fifty years ago. And if you'd had 49 00:03:22,000 --> 00:03:25,560 Speaker 2: a conversation like this in nineteen seventy three, you would 50 00:03:25,560 --> 00:03:27,800 Speaker 2: have all kinds of reasons to think that the world 51 00:03:27,880 --> 00:03:30,760 Speaker 2: was going to hell in a hand cast. So I 52 00:03:30,800 --> 00:03:33,280 Speaker 2: think the first thing to do is beware of assuming 53 00:03:33,320 --> 00:03:35,480 Speaker 2: that the year you happen to be in is hugely 54 00:03:35,560 --> 00:03:36,760 Speaker 2: historically significant. 55 00:03:36,880 --> 00:03:37,800 Speaker 3: Well it might not be. 56 00:03:38,080 --> 00:03:40,920 Speaker 1: Well, every year in a sense is unprecedented. Unprecedented things 57 00:03:40,960 --> 00:03:42,840 Speaker 1: are actually quite quite common in life. 58 00:03:42,600 --> 00:03:44,960 Speaker 2: And most of the things that are happening in this 59 00:03:45,000 --> 00:03:49,760 Speaker 2: particular year aren't drastically different from the things that struck 60 00:03:49,800 --> 00:03:53,400 Speaker 2: people as worrying fifty years ago or one hundred years ago. 61 00:03:53,440 --> 00:03:55,920 Speaker 3: So I'll dissent a bit from. 62 00:03:56,200 --> 00:03:58,920 Speaker 2: Conventional wisdom by trying to highlight the things that I 63 00:03:58,960 --> 00:04:02,160 Speaker 2: think really are in autance about now, because most of 64 00:04:02,200 --> 00:04:05,640 Speaker 2: the things we attach significance to terminal not to be important. 65 00:04:05,680 --> 00:04:08,880 Speaker 2: In the early seventies, people thought a huge population crisis was. 66 00:04:08,880 --> 00:04:10,840 Speaker 3: Coming, and this was the dominant view. 67 00:04:11,120 --> 00:04:13,080 Speaker 1: If I can jump in though, if we look back 68 00:04:13,240 --> 00:04:17,160 Speaker 1: over the long arc of history, we can see moments 69 00:04:17,279 --> 00:04:22,279 Speaker 1: where there were these paradigm shifts. You can see England. 70 00:04:22,320 --> 00:04:25,600 Speaker 1: The economy of England looks very, very different in seventeen 71 00:04:25,720 --> 00:04:28,960 Speaker 1: fifty to how it looked one hundred and fifty years 72 00:04:29,000 --> 00:04:32,839 Speaker 1: earlier before the discovery and exploitation of coal. If we 73 00:04:33,080 --> 00:04:37,960 Speaker 1: look at the structure of power and economies in Europe 74 00:04:37,960 --> 00:04:40,359 Speaker 1: in the two hundred years after the printing press, they 75 00:04:40,440 --> 00:04:42,480 Speaker 1: look quite different to how they looked just one hundred 76 00:04:42,560 --> 00:04:46,279 Speaker 1: years before the printing press. There are perhaps not annual moments, 77 00:04:46,320 --> 00:04:48,640 Speaker 1: but there are a dozen where we can start to 78 00:04:48,680 --> 00:04:51,240 Speaker 1: say these look like turning points, so we know they 79 00:04:51,279 --> 00:04:52,120 Speaker 1: exist in history. 80 00:04:52,360 --> 00:04:56,159 Speaker 2: You've mentioned two, and you'll struggle to come up with five. 81 00:04:56,560 --> 00:04:59,240 Speaker 2: Because the Industrial Revolution is one of the very rare 82 00:04:59,320 --> 00:05:04,640 Speaker 2: moments where human history resembles the hockey stick. There is 83 00:05:04,680 --> 00:05:08,200 Speaker 2: a really exponential change in economic life. It starts, of 84 00:05:08,279 --> 00:05:10,919 Speaker 2: all places, in the British Isles in the eighteenth century, 85 00:05:10,920 --> 00:05:12,839 Speaker 2: and it spreads gradually to the rest of the world, 86 00:05:12,960 --> 00:05:17,120 Speaker 2: and it involves a massive enhancement of human productivity through technology. 87 00:05:17,680 --> 00:05:21,440 Speaker 2: The printing press is the thing that transforms communication in 88 00:05:21,480 --> 00:05:24,560 Speaker 2: the sixteenth and seventeenth century. Again, it happens in Western 89 00:05:24,600 --> 00:05:27,080 Speaker 2: Europe and then gradually spreads to the rest of the world. 90 00:05:27,200 --> 00:05:30,600 Speaker 2: So let's ask ourselves, is it plausible that something like 91 00:05:30,680 --> 00:05:33,680 Speaker 2: that has happened in our time? And the answer is 92 00:05:33,839 --> 00:05:37,400 Speaker 2: it has because the Internet has had about the same 93 00:05:37,480 --> 00:05:41,560 Speaker 2: impact in our lifetimes as the printing press had over 94 00:05:41,600 --> 00:05:42,719 Speaker 2: a more prolonged period. 95 00:05:42,760 --> 00:05:44,280 Speaker 1: How do you measure the impact of the internet. 96 00:05:44,360 --> 00:05:48,240 Speaker 2: If you simply compare the cost of communication. It was 97 00:05:48,360 --> 00:05:51,400 Speaker 2: reduced as much by the Internet as it was by 98 00:05:51,400 --> 00:05:54,719 Speaker 2: the printing press. It's as big a transformation in the 99 00:05:54,960 --> 00:05:58,920 Speaker 2: ease of communication. So that has happened, and in a way, 100 00:05:59,040 --> 00:06:05,040 Speaker 2: it's sort of waching some natural frontier points and diminishing returns. 101 00:06:04,720 --> 00:06:06,960 Speaker 1: Will run out of people connect We almost. 102 00:06:08,240 --> 00:06:10,880 Speaker 3: Shift happened. We're really looking back on it now. 103 00:06:11,440 --> 00:06:13,680 Speaker 1: There's something else that I think is quite interesting about 104 00:06:13,680 --> 00:06:17,080 Speaker 1: the spread of the Internet, because when it started to spread, 105 00:06:17,480 --> 00:06:21,159 Speaker 1: the idea was that it would energize local democracy, it 106 00:06:21,160 --> 00:06:24,440 Speaker 1: would energize the individual, it would give us all a voice, 107 00:06:24,480 --> 00:06:27,760 Speaker 1: and up until the point of the Arab Spring, you 108 00:06:27,800 --> 00:06:31,000 Speaker 1: could make that case. And a decade on we've seen 109 00:06:31,000 --> 00:06:34,400 Speaker 1: those that democracy didn't take root, and we've also seen 110 00:06:34,640 --> 00:06:37,760 Speaker 1: that these new non state actors, in the form of 111 00:06:37,760 --> 00:06:43,880 Speaker 1: the platforms, have found ways of sequestering the democratic capability 112 00:06:43,880 --> 00:06:47,480 Speaker 1: of the Internet into something that doesn't look too dissimilar 113 00:06:47,839 --> 00:06:50,680 Speaker 1: to mass media with a little hint of all. 114 00:06:50,720 --> 00:06:53,840 Speaker 2: Well, I think the same kind of disappointment arose with 115 00:06:53,960 --> 00:06:56,880 Speaker 2: the rise of the printing press. I mean, there certainly 116 00:06:57,560 --> 00:06:59,799 Speaker 2: was a moment when it seemed as if the advent 117 00:06:59,839 --> 00:07:05,919 Speaker 2: of very cheap printed books would allow Christian doctrine to 118 00:07:06,040 --> 00:07:09,160 Speaker 2: spread everywhere very rapidly, and this was very exciting. But 119 00:07:09,160 --> 00:07:12,120 Speaker 2: what in fact happened was that one Martin Luther started 120 00:07:12,160 --> 00:07:14,440 Speaker 2: to argue for improvements in Western Christendom. 121 00:07:14,680 --> 00:07:16,480 Speaker 3: You had about one hundred plus. 122 00:07:16,400 --> 00:07:20,480 Speaker 2: Years of very violent religious warfare, and in the same way, 123 00:07:20,520 --> 00:07:23,080 Speaker 2: we thought everything would be awesome if everybody was connected 124 00:07:23,480 --> 00:07:27,680 Speaker 2: on network platforms Google, Amazon, and the rest. It took 125 00:07:27,720 --> 00:07:29,800 Speaker 2: us a few years to realize that there might be 126 00:07:29,880 --> 00:07:34,400 Speaker 2: downsides to much enhanced into connectivity, that if we'd only 127 00:07:34,480 --> 00:07:37,200 Speaker 2: studied the history of the printing press more thoroughly, we 128 00:07:37,240 --> 00:07:41,440 Speaker 2: wouldn't have been surprised to find the polarization and other 129 00:07:41,520 --> 00:07:44,720 Speaker 2: pathologies that have arisen from the rise of the internet. 130 00:07:44,960 --> 00:07:47,520 Speaker 2: So I think that kind of thing illustrates why you 131 00:07:47,640 --> 00:07:51,280 Speaker 2: need to study history if you're not to misunderstand the 132 00:07:51,320 --> 00:07:55,040 Speaker 2: paradigm shifts of your time. The thing that I would 133 00:07:55,160 --> 00:07:58,960 Speaker 2: add that might turn out to be comparable is the 134 00:07:59,080 --> 00:08:02,440 Speaker 2: rise of artificial intelligence right exactly, And that does feel 135 00:08:02,520 --> 00:08:04,000 Speaker 2: like something that's really transa well. 136 00:08:04,200 --> 00:08:08,080 Speaker 1: It looks like it's a technology that could dramatically improve productivity. 137 00:08:08,160 --> 00:08:10,600 Speaker 1: So when we go back to England in the seventeenth 138 00:08:10,640 --> 00:08:14,480 Speaker 1: and eighteenth nineteenth century, you saw the start and then 139 00:08:14,520 --> 00:08:19,000 Speaker 1: the deployment of machines that looked at human work and 140 00:08:19,480 --> 00:08:22,320 Speaker 1: magnified it, multiplied it. And when we start to look 141 00:08:22,320 --> 00:08:25,520 Speaker 1: at these very very early large language models, they've only 142 00:08:25,600 --> 00:08:29,080 Speaker 1: been publicly available for a matter of months, and we're 143 00:08:29,120 --> 00:08:33,559 Speaker 1: already seeing how knowledge workers who make up a very 144 00:08:33,640 --> 00:08:37,280 Speaker 1: large portion, certainly of Western countries employment bases, are able 145 00:08:37,320 --> 00:08:40,240 Speaker 1: to use them to magnify their work. So I do 146 00:08:40,360 --> 00:08:45,720 Speaker 1: wonder about whether artificial intelligence has some of the characteristics 147 00:08:46,160 --> 00:08:49,640 Speaker 1: of the kind of technology that can be a pivotal 148 00:08:49,679 --> 00:08:51,360 Speaker 1: point in our development. 149 00:08:51,880 --> 00:08:53,280 Speaker 3: Well, let's hope. 150 00:08:53,320 --> 00:08:56,079 Speaker 2: So, I mean, that's certainly plausible when we look at 151 00:08:56,120 --> 00:08:59,880 Speaker 2: something like alpha fold, which has allowed a far far 152 00:09:00,360 --> 00:09:05,080 Speaker 2: more rapid analysis of proteins than was possible before. And 153 00:09:05,120 --> 00:09:08,120 Speaker 2: I think in medical science the case is already clearly 154 00:09:08,200 --> 00:09:17,200 Speaker 2: proven that there are huge benefits. 155 00:09:18,040 --> 00:09:21,920 Speaker 1: It could be that given that we have this productivity 156 00:09:22,000 --> 00:09:26,720 Speaker 1: enhancing technology that is AI, that has come off the 157 00:09:26,800 --> 00:09:31,080 Speaker 1: back of this transformative communications network that's the Internet, we 158 00:09:31,240 --> 00:09:35,360 Speaker 1: also have radical improvements in certain biotechnologies, and we have 159 00:09:35,440 --> 00:09:37,720 Speaker 1: a fundamental shift and the way the energy system is 160 00:09:37,760 --> 00:09:42,920 Speaker 1: working as we move from extractive sources through to renewable sources. 161 00:09:42,960 --> 00:09:44,160 Speaker 1: And these renewable mean. 162 00:09:44,120 --> 00:09:46,679 Speaker 3: Other extractive resources, because renewables involve. 163 00:09:46,400 --> 00:09:49,800 Speaker 1: Extraction, but the ratio of extraction to useful energy is 164 00:09:49,880 --> 00:09:52,400 Speaker 1: much much more in favor of renewables than it is 165 00:09:52,440 --> 00:09:55,439 Speaker 1: with oil and gas. And that feels like the energy 166 00:09:55,480 --> 00:09:59,040 Speaker 1: system could also change. So there could be the ingredients 167 00:09:59,040 --> 00:10:00,840 Speaker 1: of a pivot point of a kind that we've only 168 00:10:00,880 --> 00:10:03,400 Speaker 1: seen a couple of times previously in history. 169 00:10:03,720 --> 00:10:07,560 Speaker 2: Let's ask what the driving forces will be. The world 170 00:10:07,600 --> 00:10:10,200 Speaker 2: has propelled forward and has been for thousands of years 171 00:10:10,440 --> 00:10:11,120 Speaker 2: by great power. 172 00:10:11,200 --> 00:10:13,400 Speaker 3: Competition's right, and that is the. 173 00:10:13,400 --> 00:10:18,079 Speaker 2: Thing that drives innovation right now across the board, whether 174 00:10:18,120 --> 00:10:22,720 Speaker 2: it's in solar panels or in artificial intelligence, it is 175 00:10:22,760 --> 00:10:27,360 Speaker 2: a competition which is intensifying between two superparers, the United 176 00:10:27,400 --> 00:10:31,120 Speaker 2: States and a communist led superpar Now is this standard 177 00:10:31,240 --> 00:10:32,120 Speaker 2: sound familiar to does? 178 00:10:32,240 --> 00:10:32,320 Speaker 3: So? 179 00:10:32,400 --> 00:10:35,440 Speaker 2: What is really significant about this historical moment is that 180 00:10:35,480 --> 00:10:38,000 Speaker 2: we are in the first inning, the early phase of 181 00:10:38,040 --> 00:10:41,480 Speaker 2: Cold War II. That is going to drive all the 182 00:10:41,480 --> 00:10:44,400 Speaker 2: things that we've talked about, and it will not necessarily 183 00:10:44,480 --> 00:10:49,000 Speaker 2: drive these changes in directions that are benign. That the 184 00:10:49,000 --> 00:10:51,440 Speaker 2: big technological advance of Cold War one was of course, 185 00:10:51,520 --> 00:10:55,040 Speaker 2: nuclear weapons, and I don't believe for a minute that 186 00:10:55,120 --> 00:10:57,920 Speaker 2: we can have a Cold War two without a similar risk. 187 00:10:58,160 --> 00:11:01,160 Speaker 2: And in fact, you can already see how cold War 188 00:11:01,280 --> 00:11:04,880 Speaker 2: two is repeating cold War one in a number of 189 00:11:04,920 --> 00:11:08,400 Speaker 2: key respects, one of which is it has its hot aspects. 190 00:11:08,440 --> 00:11:10,560 Speaker 2: There's a Hot War going on right now in Ukraine, 191 00:11:10,679 --> 00:11:12,880 Speaker 2: which you can think of as analogist to the Hot 192 00:11:12,880 --> 00:11:16,520 Speaker 2: War and career the career fifty. The Cuban missile crisis 193 00:11:16,600 --> 00:11:19,600 Speaker 2: in this Cold War will be a Taiwan semiconductor crisis, 194 00:11:19,679 --> 00:11:22,320 Speaker 2: And in that sense, I think if you try to 195 00:11:22,360 --> 00:11:26,160 Speaker 2: imagine yourself as a future historian, you'll be writing about 196 00:11:26,520 --> 00:11:32,360 Speaker 2: how the US China rivalry, both ideological and technological, produced 197 00:11:32,760 --> 00:11:36,440 Speaker 2: moments of great risk before the superpowers found out a 198 00:11:36,480 --> 00:11:37,920 Speaker 2: way of managing it better. 199 00:11:38,120 --> 00:11:41,120 Speaker 1: I think it's always the case, though, that breakthroughs in 200 00:11:41,440 --> 00:11:45,040 Speaker 1: technology will lead to great power competition. I mean the 201 00:11:45,080 --> 00:11:49,160 Speaker 1: square rigged sales resulted in those expeditions from the Iberian 202 00:11:49,200 --> 00:11:54,240 Speaker 1: Peninsula that started that wave of colonization. Steel and larger 203 00:11:54,280 --> 00:11:58,080 Speaker 1: bore guns turned into competition in Europe when we got 204 00:11:58,120 --> 00:12:00,680 Speaker 1: to World War one way around. 205 00:12:00,880 --> 00:12:03,960 Speaker 2: Actually assume it's actually the competition that leads to the 206 00:12:04,000 --> 00:12:07,760 Speaker 2: technological development. The reason that there's so much more technological 207 00:12:07,800 --> 00:12:12,920 Speaker 2: innovation in Europe than in China from around fifteen hundred 208 00:12:13,280 --> 00:12:15,439 Speaker 2: is that there are relatively. 209 00:12:14,880 --> 00:12:17,079 Speaker 3: Evenly matched states. 210 00:12:17,040 --> 00:12:20,360 Speaker 2: Engaged in a competition, whereas it's not like that in China, 211 00:12:20,440 --> 00:12:23,320 Speaker 2: where there is one very large empire, and it doesn't 212 00:12:23,360 --> 00:12:26,360 Speaker 2: really have to wage war with peers. Peer to peer 213 00:12:26,400 --> 00:12:32,280 Speaker 2: conflict incentivize European states to innovate with shipbuilding and particularly 214 00:12:32,280 --> 00:12:35,160 Speaker 2: to innovate with artillery. And in the same way, it's 215 00:12:35,320 --> 00:12:39,920 Speaker 2: clearly the rivalry between the United States and the Soviet 216 00:12:40,000 --> 00:12:43,760 Speaker 2: Union that propels innovation with nuclear weapons. And in the 217 00:12:43,800 --> 00:12:46,160 Speaker 2: same way today, I think the United States and China 218 00:12:46,240 --> 00:12:50,760 Speaker 2: are in a race with respect to artificial intelligence, quantum computing, 219 00:12:50,800 --> 00:12:53,559 Speaker 2: and a whole range of other technologies, because once you're 220 00:12:53,600 --> 00:12:56,880 Speaker 2: in that great part competition, you cannot afford to lose 221 00:12:57,040 --> 00:12:58,240 Speaker 2: technological leadership. 222 00:12:58,360 --> 00:13:03,520 Speaker 1: But the current petition between China and the US started 223 00:13:03,559 --> 00:13:06,840 Speaker 1: with civil applications of these technologies, so it's been a 224 00:13:06,880 --> 00:13:12,320 Speaker 1: case of plowshares into swords. We were not developing AI 225 00:13:12,760 --> 00:13:17,680 Speaker 1: or genome sequencing first and foremost for military advantage. We 226 00:13:17,679 --> 00:13:20,760 Speaker 1: were developing them for their innovation capacities, which would lead 227 00:13:20,800 --> 00:13:22,160 Speaker 1: to economic advantage. 228 00:13:22,200 --> 00:13:26,560 Speaker 2: And Chinese as scientists and American scientists were cooperating in 229 00:13:26,600 --> 00:13:30,000 Speaker 2: all kinds of domains in a relatively short space of 230 00:13:30,000 --> 00:13:33,080 Speaker 2: time up until I guess She's in pin came to 231 00:13:33,120 --> 00:13:36,160 Speaker 2: power in China and Donald Trump came to parer in 232 00:13:36,200 --> 00:13:40,480 Speaker 2: the United States. People in the United States really underestimated 233 00:13:40,679 --> 00:13:44,280 Speaker 2: the extent to which almost all the technologies were potentially 234 00:13:44,360 --> 00:13:46,320 Speaker 2: dual use that as I say, they had civilian but 235 00:13:46,360 --> 00:13:50,480 Speaker 2: also military usages. They underestimated the extent of which their 236 00:13:50,520 --> 00:13:54,360 Speaker 2: own military hardware US military hardware had Chinese components. 237 00:13:54,400 --> 00:13:56,880 Speaker 1: Something else happened between two thousand and seven and about 238 00:13:56,920 --> 00:14:01,720 Speaker 1: twenty fifteen, which was in technology, things that we now 239 00:14:01,760 --> 00:14:06,160 Speaker 1: called AI went from being slightly mundane and not usable 240 00:14:06,360 --> 00:14:08,000 Speaker 1: to suddenly quite useful. 241 00:14:08,040 --> 00:14:12,360 Speaker 2: I think historically, technological innovation sometimes seems like its own 242 00:14:12,480 --> 00:14:17,080 Speaker 2: story that's somewhat separate from everything else. In the nineteen thirties, 243 00:14:17,200 --> 00:14:20,160 Speaker 2: the world was in the grip of the worst depression 244 00:14:20,880 --> 00:14:24,360 Speaker 2: in modern economic history, but if you look closely, quite 245 00:14:24,360 --> 00:14:27,400 Speaker 2: a lot of innovation was happening in the US economy 246 00:14:27,440 --> 00:14:30,440 Speaker 2: that would turn out to be enormously consequential. Right There 247 00:14:30,560 --> 00:14:32,640 Speaker 2: was actually growth again in. 248 00:14:32,600 --> 00:14:33,760 Speaker 3: The nineteen seventies. 249 00:14:34,600 --> 00:14:37,680 Speaker 2: Most people thought that the world was in stagflation, but 250 00:14:37,760 --> 00:14:41,720 Speaker 2: that was actually the decade when Microsoft and Absolutely were founded. 251 00:14:41,480 --> 00:14:43,920 Speaker 1: And Intel was building chips for the very first time 252 00:14:43,960 --> 00:14:44,560 Speaker 1: and so on. 253 00:14:44,520 --> 00:14:46,960 Speaker 2: And that turned out to really matter in cold War 254 00:14:47,000 --> 00:14:50,240 Speaker 2: one because the Soviets were able to steal and copy 255 00:14:50,400 --> 00:14:54,640 Speaker 2: the technology of nuclear weapons, also space flight, but when 256 00:14:54,640 --> 00:14:58,400 Speaker 2: it came to copying microprocessors, they utterly failed. Even though 257 00:14:58,440 --> 00:15:00,600 Speaker 2: they could steal them, they couldn't work out how really 258 00:15:00,640 --> 00:15:03,760 Speaker 2: to replicate Moor's law. And I think in that sense 259 00:15:03,800 --> 00:15:07,200 Speaker 2: what happened in the nineteen seventies in Silicon Valley turned. 260 00:15:06,920 --> 00:15:09,040 Speaker 3: Out to be strategically hugely. 261 00:15:08,680 --> 00:15:13,440 Speaker 2: Important once the Soviets realized that the next generation of 262 00:15:13,480 --> 00:15:17,440 Speaker 2: weapons would depend on microprocessors and computers. That's why from 263 00:15:17,480 --> 00:15:20,560 Speaker 2: a technological point of view, they couldn't possibly win Cold 264 00:15:20,600 --> 00:15:21,000 Speaker 2: War one. 265 00:15:21,040 --> 00:15:23,920 Speaker 3: That Cold War two, I think has similar characteristics. 266 00:15:24,480 --> 00:15:27,880 Speaker 2: It's going to be decided by at the technological frontier 267 00:15:28,440 --> 00:15:30,800 Speaker 2: at the moment. There are two respects in which I 268 00:15:30,800 --> 00:15:34,600 Speaker 2: think this is much closer than Cold War one. Number one, Obviously, 269 00:15:34,680 --> 00:15:37,360 Speaker 2: the Chinese economy is bigger than the Soviet economy. Ever 270 00:15:37,560 --> 00:15:40,600 Speaker 2: was I mean, it was forty four percent of USGDB 271 00:15:40,920 --> 00:15:44,360 Speaker 2: at peak and falling away from the mid nineteen seventies. 272 00:15:44,520 --> 00:15:47,480 Speaker 2: China overtook the US in twenty fourteen on a purchasing 273 00:15:47,520 --> 00:15:50,240 Speaker 2: power parity basis, It's not that far behind on a 274 00:15:50,240 --> 00:15:53,240 Speaker 2: current dollar basis. So that's point one point two. Just 275 00:15:53,440 --> 00:15:56,240 Speaker 2: the way that the Chinese economy works, because it has 276 00:15:56,320 --> 00:15:59,720 Speaker 2: a very large and dynamic private sector, is more likely 277 00:15:59,760 --> 00:16:03,080 Speaker 2: to use competitive innovation than the soviets of a could. 278 00:16:03,240 --> 00:16:04,920 Speaker 1: But there are a couple of things that we could 279 00:16:05,680 --> 00:16:09,480 Speaker 1: pick up, and one is that the dynamics of Moore's law, 280 00:16:09,560 --> 00:16:13,080 Speaker 1: which was this relationship that saw silicon chips getting cheaper 281 00:16:13,080 --> 00:16:15,040 Speaker 1: and cheaper and cheaper every year, or you were getting 282 00:16:15,240 --> 00:16:18,720 Speaker 1: more processing banged for your dollar spent, was a highly 283 00:16:18,760 --> 00:16:24,600 Speaker 1: socialized process. It required a lot of competitive firms fundamentally 284 00:16:24,680 --> 00:16:28,760 Speaker 1: collaborating across an ecosystem, not just in California, but in 285 00:16:28,800 --> 00:16:31,160 Speaker 1: many other parts of the world. And that is a 286 00:16:31,840 --> 00:16:37,720 Speaker 1: characteristic of a free operating market, which it doesn't feel 287 00:16:38,240 --> 00:16:40,840 Speaker 1: exists in China, and that within China they don't have 288 00:16:41,040 --> 00:16:44,520 Speaker 1: the full stack of market participants when it comes to 289 00:16:44,560 --> 00:16:47,880 Speaker 1: the semiconductor industry that you need. I think the second 290 00:16:48,280 --> 00:16:53,840 Speaker 1: challenge I would raise is really about the spirit of research, 291 00:16:54,120 --> 00:16:59,080 Speaker 1: which ultimately these things are built off really really basic science. 292 00:16:59,240 --> 00:17:03,080 Speaker 1: The US still has a lead in pure research, and 293 00:17:03,560 --> 00:17:06,520 Speaker 1: there are academic freedoms that exist in the US that 294 00:17:06,640 --> 00:17:10,080 Speaker 1: don't exist in China because the lines of research are 295 00:17:10,119 --> 00:17:13,920 Speaker 1: not clearly drawn. For scientists, there are lines they cannot cross, 296 00:17:14,000 --> 00:17:15,879 Speaker 1: but they're not told, ay priori what they might be. 297 00:17:16,040 --> 00:17:18,919 Speaker 3: Well, let me come back at you. 298 00:17:19,040 --> 00:17:23,560 Speaker 2: In both points, the most high end semiconductors are not 299 00:17:23,640 --> 00:17:25,679 Speaker 2: manufactured in the United States, as you well know. 300 00:17:25,760 --> 00:17:28,280 Speaker 3: They're manufactured in Taiwan, which is an. 301 00:17:28,160 --> 00:17:31,119 Speaker 2: Island that, according to the People's Republic of China, is 302 00:17:31,200 --> 00:17:35,560 Speaker 2: part of China, and its contested status in that sense 303 00:17:35,640 --> 00:17:38,720 Speaker 2: is going to be even more explosive than the contested 304 00:17:38,760 --> 00:17:41,600 Speaker 2: status of Cuba was in the early nineteen sixties. The 305 00:17:41,640 --> 00:17:47,600 Speaker 2: second point is that scientific talent is quite widely distributed globally, 306 00:17:48,080 --> 00:17:50,440 Speaker 2: and it's produced in greater volumes. 307 00:17:50,000 --> 00:17:52,320 Speaker 3: In China at this point than it is in the 308 00:17:52,400 --> 00:17:53,040 Speaker 3: United States. 309 00:17:53,160 --> 00:17:56,879 Speaker 2: Now, that really didn't matter when the United States was 310 00:17:56,920 --> 00:17:58,280 Speaker 2: able to attract the. 311 00:17:58,280 --> 00:17:59,919 Speaker 3: Talent from all over the world. 312 00:18:00,320 --> 00:18:02,920 Speaker 2: But one of the consequences of the rise of Cold 313 00:18:02,960 --> 00:18:06,879 Speaker 2: War two is that process has really broken down. Legal 314 00:18:06,880 --> 00:18:10,360 Speaker 2: immigration into the United States for talented people has come 315 00:18:10,400 --> 00:18:13,320 Speaker 2: to a near standstill. So the US is throwing away 316 00:18:13,480 --> 00:18:17,000 Speaker 2: its opportunity to win Cold War two, and the way 317 00:18:17,040 --> 00:18:19,960 Speaker 2: to win it is just keep importing the talent, including 318 00:18:19,960 --> 00:18:24,160 Speaker 2: the talent from China, and then the Chinese can't possibly compete. 319 00:18:24,680 --> 00:18:27,080 Speaker 2: The Chinese don't have the chance to import talent. Pose 320 00:18:27,200 --> 00:18:30,240 Speaker 2: nobody wants to emigrate to the People's Republic of China. Surprisingly, 321 00:18:30,440 --> 00:18:33,320 Speaker 2: so this is a really critical point which brings us 322 00:18:33,520 --> 00:18:35,800 Speaker 2: to something we haven't talked about yet, which is super 323 00:18:35,800 --> 00:18:37,880 Speaker 2: important demographics and migration. 324 00:18:38,280 --> 00:18:40,919 Speaker 1: And your point about demographics is that many countries are 325 00:18:40,920 --> 00:18:44,400 Speaker 1: in retrogaatee, not just Japan, not just Italy, but also 326 00:18:44,760 --> 00:18:47,200 Speaker 1: China and large parts of Eastern Europe are well below 327 00:18:47,280 --> 00:18:48,440 Speaker 1: the replacement. 328 00:18:48,480 --> 00:18:51,600 Speaker 2: The population of China could fall by as much as 329 00:18:51,760 --> 00:18:54,639 Speaker 2: half between now and the end of this century. 330 00:18:54,880 --> 00:18:55,560 Speaker 3: That is a. 331 00:18:55,520 --> 00:18:58,439 Speaker 2: Plausible projection from the United Nations, if you assume that 332 00:18:58,480 --> 00:19:01,840 Speaker 2: the fertility rate doesn't go back up. Even the median 333 00:19:02,119 --> 00:19:05,760 Speaker 2: projection from the UN Population Prospects says that the population 334 00:19:05,840 --> 00:19:08,400 Speaker 2: of China will fall by about a third. How can 335 00:19:08,440 --> 00:19:12,840 Speaker 2: the Chinese economy possibly have sustained growth at even five 336 00:19:12,960 --> 00:19:16,359 Speaker 2: percent with a shrinking population, a shrinking workforce. 337 00:19:16,480 --> 00:19:19,240 Speaker 3: A twenty nine percent of the economy is building terwer blocks. 338 00:19:19,240 --> 00:19:21,840 Speaker 2: But these are terr blocks for nobody, and I don't 339 00:19:21,840 --> 00:19:23,320 Speaker 2: think we're thinking enough about what that means. 340 00:19:23,359 --> 00:19:25,399 Speaker 1: But we can perhaps bring in one of the technologies 341 00:19:25,440 --> 00:19:28,800 Speaker 1: we talked about earlier, which was these AI technologies, because 342 00:19:28,840 --> 00:19:32,200 Speaker 1: of course they are productivity magnifying technologies, at least that's 343 00:19:32,200 --> 00:19:34,600 Speaker 1: a theory. So let's assume for the discussion that they 344 00:19:34,640 --> 00:19:37,320 Speaker 1: allow one person to do the work of three or four. 345 00:19:37,760 --> 00:19:42,280 Speaker 1: That might suggest that countries like China or Italy should 346 00:19:42,320 --> 00:19:46,600 Speaker 1: invest more heavily in these AI technologies because they are 347 00:19:46,680 --> 00:19:49,800 Speaker 1: running out of human workers. So could a country like China, 348 00:19:49,800 --> 00:19:54,199 Speaker 1: with its investments in robotics and AI, use those technologies 349 00:19:54,680 --> 00:19:58,320 Speaker 1: to in some way defray the downward pressure of this 350 00:19:59,040 --> 00:20:00,720 Speaker 1: demographics that they're having to deal with. 351 00:20:00,960 --> 00:20:04,320 Speaker 2: They are clearly in China investing with that in mind. 352 00:20:04,800 --> 00:20:08,080 Speaker 2: But I'm not sure that that solves the problem, because 353 00:20:08,119 --> 00:20:11,399 Speaker 2: I think the problem is somewhat more complex than we 354 00:20:11,480 --> 00:20:16,480 Speaker 2: don't have enough people to assemble the electric vehicles. There 355 00:20:16,480 --> 00:20:18,359 Speaker 2: are a couple of other aspects to this which I 356 00:20:18,359 --> 00:20:20,800 Speaker 2: think are interesting. One is that if you have a 357 00:20:20,840 --> 00:20:24,120 Speaker 2: population which is aging, you have to be supported by 358 00:20:24,400 --> 00:20:26,400 Speaker 2: a relatively smaller working population. 359 00:20:26,960 --> 00:20:28,960 Speaker 3: There are just distributional problems. 360 00:20:29,160 --> 00:20:31,199 Speaker 2: Right twenty years ago, and I said the politics of 361 00:20:31,240 --> 00:20:34,520 Speaker 2: the twenty fourth century will be about generational conflict, not 362 00:20:34,640 --> 00:20:37,439 Speaker 2: class conflict, and we're still at an early stage of 363 00:20:37,520 --> 00:20:40,919 Speaker 2: the generational conflicts that are going to play out. As 364 00:20:41,280 --> 00:20:44,879 Speaker 2: younger people say to themselves, wait a second, I seem 365 00:20:44,920 --> 00:20:48,639 Speaker 2: to be having a pretty hard time in order to 366 00:20:48,680 --> 00:20:51,840 Speaker 2: support the older generation in very prolonged retirement. 367 00:20:51,960 --> 00:20:54,879 Speaker 1: There are strong echoes of that in the US with 368 00:20:55,080 --> 00:20:59,640 Speaker 1: college debt burden, in the UK with the cost of housing, 369 00:20:59,720 --> 00:21:03,320 Speaker 1: and in France and in Italy as well. And China 370 00:21:03,359 --> 00:21:05,240 Speaker 1: has got a huge one coming. 371 00:21:05,320 --> 00:21:08,080 Speaker 2: It's going to age as rapidly as Japan has, but 372 00:21:08,119 --> 00:21:10,359 Speaker 2: at a lower level of per capita GDP. I think 373 00:21:10,359 --> 00:21:13,199 Speaker 2: there are all kinds of really quite unforeseeable problems. So 374 00:21:13,280 --> 00:21:16,919 Speaker 2: I think that that doesn't get solved by robots. And 375 00:21:16,960 --> 00:21:20,800 Speaker 2: I think there's another problem for aging societies. I mean, 376 00:21:20,840 --> 00:21:24,160 Speaker 2: it's the young people who have the cool ideas. And 377 00:21:24,240 --> 00:21:28,399 Speaker 2: if you have an aging population, it seems to me 378 00:21:28,440 --> 00:21:31,960 Speaker 2: that by definition, you will be less innovative in relative terms. 379 00:21:32,040 --> 00:21:34,280 Speaker 1: So historically, are there examples that you can think of 380 00:21:34,359 --> 00:21:38,960 Speaker 1: where nations or states of some sort have really bet 381 00:21:39,119 --> 00:21:42,880 Speaker 1: hard on technology to get them out out of one 382 00:21:42,880 --> 00:21:44,719 Speaker 1: of these quite existential threats. 383 00:21:44,800 --> 00:21:48,000 Speaker 2: No, this is new territory because the problem in the 384 00:21:48,040 --> 00:21:53,080 Speaker 2: past was altogether different. Human life expectancy, we forget, this 385 00:21:54,160 --> 00:21:57,119 Speaker 2: was pretty short for most of history, and so you know, 386 00:21:57,440 --> 00:22:01,080 Speaker 2: people didn't feel young at fifty nine. I still kid 387 00:22:01,119 --> 00:22:03,400 Speaker 2: myself that I'm relatively youthful, at least physically. 388 00:22:03,520 --> 00:22:05,440 Speaker 1: You're about to take up a new sport in golf, 389 00:22:05,480 --> 00:22:06,399 Speaker 1: I understand. 390 00:22:06,040 --> 00:22:08,240 Speaker 2: Well, I don't regard golf as a sport, to be honest, 391 00:22:08,280 --> 00:22:10,200 Speaker 2: but yeah, it's the kind of thing you do when 392 00:22:10,240 --> 00:22:13,360 Speaker 2: you hit sixties. But the interesting thing is that all 393 00:22:13,400 --> 00:22:16,560 Speaker 2: the times of technological innovation that we look back on 394 00:22:16,640 --> 00:22:19,880 Speaker 2: as we have in this conversation happened when societies were 395 00:22:19,920 --> 00:22:23,959 Speaker 2: extraordinarly youthful by our standards, and the elderly were a 396 00:22:24,000 --> 00:22:26,280 Speaker 2: really small share of the population. 397 00:22:34,119 --> 00:22:38,200 Speaker 1: So where have we got to. There are some new technologies, 398 00:22:38,400 --> 00:22:42,399 Speaker 1: the internet and artificial intelligence. They feel like a paradigm shift. 399 00:22:42,800 --> 00:22:46,760 Speaker 1: There are some more linear trends, demographics being a key 400 00:22:46,920 --> 00:22:52,440 Speaker 1: untold story, and these together are driving a real Cold 401 00:22:52,520 --> 00:22:57,840 Speaker 1: War two between between China and America. Some scholars argue 402 00:22:57,880 --> 00:23:01,640 Speaker 1: that in many cases where great powers, especially if they're 403 00:23:01,640 --> 00:23:06,560 Speaker 1: ideological differences that are hard to reconcile, find themselves competing, 404 00:23:07,359 --> 00:23:09,639 Speaker 1: they will fall into a war. 405 00:23:09,880 --> 00:23:12,320 Speaker 2: I think if we're going to rerun this and have 406 00:23:12,400 --> 00:23:15,680 Speaker 2: Cold War two, we should not assume that we're guaranteed 407 00:23:15,720 --> 00:23:18,800 Speaker 2: to avoid a hot war. Both societies in their different 408 00:23:18,800 --> 00:23:21,240 Speaker 2: ways of wrestling with problems of aging that were not 409 00:23:21,560 --> 00:23:26,679 Speaker 2: familiar to Cold War one participants. The technologies include the 410 00:23:26,720 --> 00:23:29,320 Speaker 2: old ones nuclear weapons, but there are a bunch of 411 00:23:29,359 --> 00:23:30,119 Speaker 2: new ones. 412 00:23:29,880 --> 00:23:32,600 Speaker 1: Too, hypersonics, AIS size. 413 00:23:32,440 --> 00:23:36,560 Speaker 2: AI, satellite warfare is going to happen on a larger scale. 414 00:23:36,760 --> 00:23:39,200 Speaker 2: So I have to say that I agree with Henry 415 00:23:39,240 --> 00:23:42,080 Speaker 2: Kissinger who said to me in an interview, not unlike 416 00:23:42,119 --> 00:23:45,440 Speaker 2: this last year, cold War II will be more dangerous 417 00:23:45,480 --> 00:23:48,359 Speaker 2: than Cold War One. That is a very sobering fault 418 00:23:48,400 --> 00:23:48,560 Speaker 2: to me. 419 00:23:49,000 --> 00:23:52,680 Speaker 1: So after the end of World War Two, we developed 420 00:23:52,720 --> 00:23:57,159 Speaker 1: a whole set of new institutions from the United Nations 421 00:23:57,960 --> 00:24:01,200 Speaker 1: through two things like the Nuclear Non Proliferation Treaty. If 422 00:24:01,240 --> 00:24:03,520 Speaker 1: you look at the environment that we move into now, 423 00:24:03,680 --> 00:24:06,159 Speaker 1: is it a case of having to invent new institutions 424 00:24:06,440 --> 00:24:09,480 Speaker 1: or is it a case of transforming the ones that 425 00:24:09,480 --> 00:24:10,040 Speaker 1: we have. 426 00:24:10,160 --> 00:24:14,440 Speaker 2: The United Nations, when you look closely at its record, 427 00:24:15,560 --> 00:24:19,080 Speaker 2: had a structural problem from the outset, namely the veto. 428 00:24:18,840 --> 00:24:22,520 Speaker 3: Power of the permanent members permanent the permanent. 429 00:24:22,119 --> 00:24:24,439 Speaker 2: Members included the United States and the Soviet Union, and 430 00:24:24,480 --> 00:24:27,080 Speaker 2: so they took turrents to exercise that veto, which meant 431 00:24:27,080 --> 00:24:29,399 Speaker 2: that the UN didn't actually do terribly much that was 432 00:24:29,760 --> 00:24:32,240 Speaker 2: consequential when it came to avoiding conflict, which is why 433 00:24:32,240 --> 00:24:34,399 Speaker 2: there were a lot of small and not so small 434 00:24:34,440 --> 00:24:37,560 Speaker 2: wars during Cold War one. That's right, So I think 435 00:24:37,600 --> 00:24:40,399 Speaker 2: we need to recognize that the UN never really was 436 00:24:40,440 --> 00:24:45,080 Speaker 2: a terrifically powerful force for preserving peace, that it has 437 00:24:45,200 --> 00:24:49,280 Speaker 2: been exposed very badly by the war in Ukraine. 438 00:24:49,440 --> 00:24:52,000 Speaker 3: And let's go down the list. How about the IMF? 439 00:24:52,240 --> 00:24:55,359 Speaker 2: How is the International Monetary Fund doing when it comes 440 00:24:55,400 --> 00:24:56,840 Speaker 2: to financial stability? 441 00:24:57,680 --> 00:24:58,879 Speaker 3: Can I give an F grade? 442 00:24:59,240 --> 00:25:02,960 Speaker 2: It has, I think, not perform brilliantly other than perhaps 443 00:25:03,000 --> 00:25:06,960 Speaker 2: at data collection, not at projection over the last twenty years. 444 00:25:07,400 --> 00:25:10,520 Speaker 2: And I'll keep going. The World Trade Organization's basically broken. 445 00:25:10,600 --> 00:25:12,840 Speaker 2: It's not clear that it can be revived. And so 446 00:25:12,920 --> 00:25:15,080 Speaker 2: you asked yourself, well, hang on a second. If these 447 00:25:15,119 --> 00:25:19,119 Speaker 2: institutions are kind of dysfunctional, what was it that generated 448 00:25:19,160 --> 00:25:23,400 Speaker 2: at least some piece and prosperity after nineteen forty five, 449 00:25:23,440 --> 00:25:26,040 Speaker 2: and I think the answer is in fact line systems 450 00:25:26,119 --> 00:25:30,040 Speaker 2: that deterred the Soviets from the more. 451 00:25:31,640 --> 00:25:32,520 Speaker 3: Crazy of the plan. 452 00:25:32,640 --> 00:25:36,440 Speaker 2: So fundamentally, NATO NATO mattered much more than the UN 453 00:25:36,520 --> 00:25:39,720 Speaker 2: and much more than the European institutions when it came 454 00:25:39,760 --> 00:25:40,600 Speaker 2: to preserving peace. 455 00:25:41,320 --> 00:25:43,400 Speaker 3: Therefore, if we want to ask. 456 00:25:43,240 --> 00:25:46,000 Speaker 2: The question how can we avoid World War three, it 457 00:25:46,040 --> 00:25:48,480 Speaker 2: is going to be very important that the United States 458 00:25:48,520 --> 00:25:53,280 Speaker 2: builds a version of NATO for Transpacific relations. 459 00:25:53,520 --> 00:25:54,480 Speaker 1: Interests are eternal. 460 00:25:54,520 --> 00:25:57,439 Speaker 2: I think, well, this sounds like Henry Kistener's talking right 461 00:25:57,480 --> 00:26:00,160 Speaker 2: back at me, but I think in practice this this 462 00:26:00,200 --> 00:26:03,520 Speaker 2: is where the action is. Can the United States create 463 00:26:03,640 --> 00:26:08,239 Speaker 2: a sufficiently strong network of relationships that China can be 464 00:26:08,320 --> 00:26:11,600 Speaker 2: deterred from taking the kind of action that could escalate 465 00:26:12,160 --> 00:26:12,880 Speaker 2: towards War three. 466 00:26:12,960 --> 00:26:17,080 Speaker 1: But there were other dimensions of risk that you talked about, 467 00:26:17,160 --> 00:26:20,240 Speaker 1: and one was artificial intelligence. And even in their non 468 00:26:20,280 --> 00:26:23,960 Speaker 1: weaponized state, because they're dual use, they can still be 469 00:26:24,080 --> 00:26:25,000 Speaker 1: quite dangerous. 470 00:26:25,080 --> 00:26:28,840 Speaker 3: Just in the same way that the Peace of West failure. 471 00:26:28,800 --> 00:26:32,640 Speaker 2: Devised the set of rules to stop religious warfare tearing 472 00:26:32,640 --> 00:26:36,919 Speaker 2: Europe apart interminably. Why should we not now devise a 473 00:26:37,000 --> 00:26:42,280 Speaker 2: convention to limit the use of these new and powerful tools, 474 00:26:42,680 --> 00:26:44,960 Speaker 2: especially now when the United States appears to have a 475 00:26:44,960 --> 00:26:47,760 Speaker 2: pretty clear lead when it comes to large language models. 476 00:26:48,280 --> 00:26:51,160 Speaker 2: Just as it was in the interests of the United 477 00:26:51,200 --> 00:26:53,960 Speaker 2: States to have a non proliferation treaty before the Soviets 478 00:26:53,960 --> 00:26:56,560 Speaker 2: overtook the US. 479 00:26:56,640 --> 00:26:58,679 Speaker 1: Back then, of course, even the Swedes had a nuclear 480 00:26:58,720 --> 00:26:59,880 Speaker 1: weapons program. 481 00:27:00,080 --> 00:27:02,560 Speaker 3: Imagine a world without the non proliferation treaty. It would 482 00:27:02,560 --> 00:27:03,320 Speaker 3: have blown up by. 483 00:27:03,240 --> 00:27:06,520 Speaker 1: There right absolutely, and the Swedes would have reconquered Finland. 484 00:27:06,880 --> 00:27:09,840 Speaker 3: In their dreams, in their dream The. 485 00:27:09,800 --> 00:27:12,840 Speaker 1: Premise of today's conversation was that if we look back 486 00:27:13,200 --> 00:27:17,080 Speaker 1: on these few years, we'll realize that we were living 487 00:27:17,119 --> 00:27:20,600 Speaker 1: through a paradigm shift that was a new age. How 488 00:27:20,640 --> 00:27:23,520 Speaker 1: do you assess that premise? Is that something that is 489 00:27:23,560 --> 00:27:25,920 Speaker 1: now going to become reality. 490 00:27:25,680 --> 00:27:27,679 Speaker 3: Not in the way that most people think. 491 00:27:29,040 --> 00:27:31,240 Speaker 2: I think we're at that stage of Cold War two 492 00:27:31,280 --> 00:27:34,840 Speaker 2: where most people don't fully realize the implications of there 493 00:27:34,840 --> 00:27:39,280 Speaker 2: being only two AI superpars, only two superpars that could 494 00:27:39,359 --> 00:27:43,480 Speaker 2: conceivably have quantum computers, and that that's the real architecture 495 00:27:44,000 --> 00:27:46,560 Speaker 2: of the rest of our lives. They'll continue to be 496 00:27:46,640 --> 00:27:49,280 Speaker 2: high levels of trade between the United States. You can't 497 00:27:49,359 --> 00:27:53,240 Speaker 2: decouple theseoities entirely, but it'll just be much more selective 498 00:27:53,240 --> 00:27:55,960 Speaker 2: and there will be things that won't be tradeable. There 499 00:27:56,040 --> 00:27:58,239 Speaker 2: is a lot of change coming on the back of 500 00:27:58,280 --> 00:28:01,639 Speaker 2: this new Cold War, and it will affect everything. So 501 00:28:01,800 --> 00:28:04,920 Speaker 2: even the climate issue inevitably will become part of Cold 502 00:28:04,960 --> 00:28:08,119 Speaker 2: War two because you can't avoid climate change if you 503 00:28:08,160 --> 00:28:11,760 Speaker 2: can't constrain China, So everything ends up being a part 504 00:28:11,880 --> 00:28:15,479 Speaker 2: of this great geopolitical struggle. This illustrates something that is 505 00:28:15,600 --> 00:28:20,440 Speaker 2: very important. Indeed, something's changed because technology changes. The world 506 00:28:20,520 --> 00:28:23,000 Speaker 2: was changed by the printing press, changed by nuclear weapons, 507 00:28:23,119 --> 00:28:26,280 Speaker 2: is being changed by the Internet and AI. But certain 508 00:28:26,320 --> 00:28:30,000 Speaker 2: things remain constant because the logic of power is unaffected 509 00:28:30,040 --> 00:28:32,639 Speaker 2: by technology. So I think for me, the key to 510 00:28:32,760 --> 00:28:36,960 Speaker 2: understanding the future is you have to combine historical knowledge. 511 00:28:36,560 --> 00:28:39,760 Speaker 3: With a grasp of what's new, what's technologically different. 512 00:28:39,840 --> 00:28:43,600 Speaker 2: There's a paradigm shift happening in technology, no question, but 513 00:28:44,160 --> 00:28:49,520 Speaker 2: the age old relationships between powers, those don't change. You 514 00:28:49,600 --> 00:28:51,720 Speaker 2: have to understand both these domains or you will be 515 00:28:52,000 --> 00:28:54,120 Speaker 2: catnapping Neil. 516 00:28:54,160 --> 00:28:56,440 Speaker 1: I think it's very appropriate that we're in a windowless 517 00:28:56,480 --> 00:28:58,920 Speaker 1: room having this discussion about Cold War II and this 518 00:28:59,000 --> 00:29:01,240 Speaker 1: paradigm shift. Thank you so much for making the time. 519 00:29:01,280 --> 00:29:01,800 Speaker 3: Thank you. As a. 520 00:29:07,680 --> 00:29:10,120 Speaker 1: Reflecting on my conversation with Neil, I'm struck by how 521 00:29:10,200 --> 00:29:14,040 Speaker 1: many factors, from global competition to demographic shifts, and of 522 00:29:14,040 --> 00:29:19,720 Speaker 1: course rapidly evolving technologies are all reinforcing this state of uncertainty. 523 00:29:19,920 --> 00:29:22,560 Speaker 1: Is this a sign of fundamental change in the nature 524 00:29:22,600 --> 00:29:26,520 Speaker 1: of human affairs? Technological progress is certainly speeding up, but 525 00:29:26,600 --> 00:29:30,040 Speaker 1: the collaboration made possible by the Internet is being replaced 526 00:29:30,080 --> 00:29:34,040 Speaker 1: by competition between two great powers China and the United States. 527 00:29:34,480 --> 00:29:36,880 Speaker 1: So our degree with Neil that we're seeing flickering of 528 00:29:36,920 --> 00:29:39,760 Speaker 1: a second Cold War. But I also think something more 529 00:29:39,760 --> 00:29:42,480 Speaker 1: fundamental is happening, a shift to a world built on 530 00:29:42,560 --> 00:29:47,400 Speaker 1: exponential technologies, with many new powerbrokers, not just the nation state. 531 00:29:50,960 --> 00:29:54,320 Speaker 1: Thanks for listening to the exponentially podcast. If you enjoy 532 00:29:54,360 --> 00:29:57,360 Speaker 1: the show, please leave a review or rating. It really 533 00:29:57,400 --> 00:30:00,720 Speaker 1: does help others find us the Exponentially. The podcast is 534 00:30:00,760 --> 00:30:04,680 Speaker 1: presented by me Azeem Azar. The sound designer is Will Horrocks. 535 00:30:05,000 --> 00:30:07,880 Speaker 1: The research was led by Chloe Ippah and music composed 536 00:30:07,880 --> 00:30:11,320 Speaker 1: by Emily Green and John Zarcone. The show is produced 537 00:30:11,320 --> 00:30:15,440 Speaker 1: by Frederick Cassella, Maria Garrilov and me Azeem Azar Special 538 00:30:15,520 --> 00:30:18,920 Speaker 1: thanks to Sage Bauman, Jeff Grocott and Magnus Henrikson. The 539 00:30:18,960 --> 00:30:23,040 Speaker 1: executive producers are Andrew Barden, Adam Kamiski, and Kyle Kramer. 540 00:30:23,320 --> 00:30:27,000 Speaker 1: David Ravella is the managing editor. Exponentially was created by 541 00:30:27,040 --> 00:30:29,280 Speaker 1: Frederick Cassella and is an Eat the Pie I plus 542 00:30:29,360 --> 00:30:33,160 Speaker 1: one limited production in association with Bloomberg LC