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The next 50 years: humanity, AI, power | Yuval Noah Harari — Transcript

by Yuval Noah Harari · 6,769 words · 1,170 segments · language en · Watch on YouTube

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  1. 0:02Good evening, everybody. Good evening,
  2. 0:04Yuval.
  3. 0:05>> Hey, it's good to be here.
  4. 0:06>> Looking forward to this conversation
  5. 0:08very much. I'm just going to give a
  6. 0:09little brief introduction just before we
  7. 0:11get stuck into the questions.
  8. 0:14Cuz I've been fascinated about this
  9. 0:15topic and looking forward to
  10. 0:17to interviewing you because for most of
  11. 0:19history, change moved slowly enough that
  12. 0:23one generation could pass its its wisdom
  13. 0:26to the next with some confidence it
  14. 0:28would still apply.
  15. 0:30This is no longer true.
  16. 0:32In the space of a single lifetime, we
  17. 0:34are now being asked to absorb three
  18. 0:36revolutions at once. A new form of
  19. 0:40intelligence that doesn't just
  20. 0:42calculate, but also decides. A scramble
  21. 0:46to power and control that intelligence.
  22. 0:49And an explosion of data
  23. 0:51that lets that intelligence know us
  24. 0:53better than we know ourselves.
  25. 0:57Yuval Noah Harari's work from Sapiens to
  26. 0:59Homo Deus to Nexus and the numerous
  27. 1:02talks, lectures, and interviews he's
  28. 1:04conducted has offered the same argument
  29. 1:07just in different clothes.
  30. 1:10Humans don't run on truth, we run on
  31. 1:13shared stories. And whoever controls the
  32. 1:16story controls the species.
  33. 1:19What's different now is for the first
  34. 1:21time the storyteller may not be human.
  35. 1:24AI can generate belief, manufacture
  36. 1:27evidence, and forge intimacy at a scale
  37. 1:30no emperor, church, or party ever could.
  38. 1:34This is the turning point. Not simply
  39. 1:37that the technology is powerful, but the
  40. 1:40old ways that held power in check, a
  41. 1:42free press, a shared reality,
  42. 1:45institutions built to self-correct, were
  43. 1:48designed for a world where only humans
  44. 1:51held the pen.
  45. 1:53Tonight's conversation asks what it
  46. 1:56takes to carry those checks forward or
  47. 1:59what the new ones we will need to invent
  48. 2:03for a future world that no longer we
  49. 2:06fully author alone.
  50. 2:09Well, that's the precedent that we're
  51. 2:11going to
  52. 2:12look at today, Yuval. But actually
  53. 2:13before we get into it being too heavy,
  54. 2:16wanted to start with a slightly light
  55. 2:18and fun question.
  56. 2:21If you could travel back to any point in
  57. 2:24history,
  58. 2:25when would you choose
  59. 2:27and why based on wanting to understand
  60. 2:30first hand some of the stories that
  61. 2:33society could tell you?
  62. 2:36>> Well, I'd probably want to go back to
  63. 2:37the Stone Age and to the cognitive
  64. 2:39revolution around 50, 60, 70,000 years
  65. 2:43ago. I probably wouldn't be able to
  66. 2:45survive for more than a few days because
  67. 2:48I don't know how to gather or escape
  68. 2:51predators or whatever,
  69. 2:53but it is the most fascinating moment in
  70. 2:55human history, the one we least
  71. 2:57understand. We know that within a very
  72. 3:00short evolutionary time span, we shifted
  73. 3:05from being a relatively insignificant
  74. 3:07animal
  75. 3:09to being the masters of the planet.
  76. 3:11And we are not sure how we did it. The
  77. 3:14best
  78. 3:15speculation or or the best theory is
  79. 3:17that we did it with language. That this
  80. 3:19is the moment when humans acquire the
  81. 3:22ability to
  82. 3:24produce and communicate with
  83. 3:26sophisticated language and that this was
  84. 3:28the basis for everything else we did.
  85. 3:31That all the enormous structures we've
  86. 3:35built on Earth, churches, states, trade
  87. 3:38networks, financial systems, they're all
  88. 3:41ultimately made from words.
  89. 3:45The words in the law books, in the
  90. 3:47religious scriptures, in the the
  91. 3:50ledgers.
  92. 3:51And this is especially important to
  93. 3:54understand
  94. 3:56today when something new is mastering
  95. 3:59language, which is AI, maybe for the
  96. 4:02first time in history,
  97. 4:05there will be something on the planet
  98. 4:06that is better with words than we are.
  99. 4:10And if this is the operating system of
  100. 4:12civilization,
  101. 4:14what happens when something else,
  102. 4:16something alien,
  103. 4:18takes takes control of the operating
  104. 4:20system of civilization?
  105. 4:22One last thought
  106. 4:25is that perhaps AI is not
  107. 4:29a machine that learns language. Perhaps
  108. 4:33it is language itself
  109. 4:36liberating itself from its its
  110. 4:39dependence on these animals, on these
  111. 4:42apes.
  112. 4:43That yes, we created it.
  113. 4:46It was our most magnificent and
  114. 4:48important tool.
  115. 4:50But now language liberate itself
  116. 4:54from human beings.
  117. 4:56And what will happen as we move forward
  118. 4:59is language developing and spreading
  119. 5:02maybe throughout the universe
  120. 5:04without us.
  121. 5:06>> Yeah, fascinating. I mean,
  122. 5:08that's looking ahead at the future of
  123. 5:10language being taken away from us. But
  124. 5:12can we look back again at some of the
  125. 5:15technological advances within language?
  126. 5:18We've gone through writing, the printing
  127. 5:20press, for example. AI obviously is a
  128. 5:23massive leap
  129. 5:25>> Yes.
  130. 5:25>> ahead in that. You've used the term that
  131. 5:27it could cause earthquakes in
  132. 5:29democracies
  133. 5:30>> Mhm.
  134. 5:30>> in how it's in how it powerful it can be
  135. 5:33with languages. Why could it cause
  136. 5:35earthquakes in democracies, say,
  137. 5:38compared to any other form of government
  138. 5:40or perhaps totalitarian forms of
  139. 5:42government?
  140. 5:43>> Because democracy in essence is a
  141. 5:45conversation.
  142. 5:47Whereas dictatorship is a dictate. You
  143. 5:50know, there is one person dictating
  144. 5:52everything.
  145. 5:54Democracy is about lots of people having
  146. 5:57a conversation to decide what to do. To
  147. 6:01have peace or war, to have raised taxes
  148. 6:04or lowered taxes. Now,
  149. 6:07conversations
  150. 6:09are
  151. 6:09based on the communication technology,
  152. 6:12the information technology available to
  153. 6:15people at the time.
  154. 6:17And what we see in history, that we do
  155. 6:20not know, at least I don't know,
  156. 6:22of a single case of a large-scale
  157. 6:25democracy before the modern era.
  158. 6:28We have plenty of examples of
  159. 6:30small-scale democracies in the ancient
  160. 6:32and medieval worlds. We have city-states
  161. 6:35like ancient Athens or medieval
  162. 6:37Florence. We have lots of tribes and
  163. 6:40towns and villages run democratically.
  164. 6:43It seems that at least in the Stone Age,
  165. 6:45democracy was the most common system of
  166. 6:48government. There are a few tribes with
  167. 6:50a single dictator controlling everybody.
  168. 6:53But,
  169. 6:54as human systems grew larger, and you
  170. 6:58had kingdoms with uh millions of people
  171. 7:02spread over thousands of kilometers,
  172. 7:05it was impossible to hold a conversation
  173. 7:08anymore.
  174. 7:09You could do it in a small city like
  175. 7:11Athens. Everybody can gather together in
  176. 7:13the main square and discuss. But, how do
  177. 7:16you do it
  178. 7:17if even in a relatively small kingdom
  179. 7:19like say Portugal in the Middle Ages?
  180. 7:22Can't be done. And therefore, we don't
  181. 7:24have any example of a large-scale
  182. 7:26democracy before the rise of modern
  183. 7:29information technology. First with
  184. 7:32print, uh newspapers,
  185. 7:35then radio and television and the
  186. 7:37internet.
  187. 7:39And these technologies are not kind of a
  188. 7:42side dish. Like you have the democratic
  189. 7:45banquet and yes, we also have these
  190. 7:47newspapers and in radio. They are the
  191. 7:49basis.
  192. 7:51They provide the means for millions of
  193. 7:54people to hold a meaningful conversation
  194. 7:57in real time about whether to go to war
  195. 8:00or make peace.
  196. 8:02And every time there is a major change
  197. 8:06in these information technologies, you
  198. 8:08have an earthquake
  199. 8:10in the building that is built on top of
  200. 8:12that, which is democracy.
  201. 8:14And this is what we have been seeing
  202. 8:16over the last 10 years for instance, as
  203. 8:18social media
  204. 8:20uh became maybe the most important
  205. 8:23information technology
  206. 8:25and uh causing a massive earthquake in
  207. 8:29democracies all over the world as a
  208. 8:30result.
  209. 8:31>> Yeah, one thing you said there was the
  210. 8:33choice between going to war or making
  211. 8:36peace. And actually I want to get into
  212. 8:37the definition of of AI because a lot of
  213. 8:40people call it a tool, but you argue
  214. 8:42that it's it's absolutely an agent.
  215. 8:44>> Yes.
  216. 8:44>> And in fact you say it's a knife that
  217. 8:47can decide by itself whether to cut
  218. 8:50salad or commit murder. And I have to
  219. 8:52say it would be a bizarre cooking show
  220. 8:54if that was the case where knives had
  221. 8:57that ability to cut salads or commit
  222. 8:59murder. So it is a it's a dangerous
  223. 9:01thought. Can we expand on that?
  224. 9:05Are we choosing the right narrative at
  225. 9:07the moment with AI by saying it's a tool
  226. 9:09that humans can still use and that
  227. 9:11humans are in the
  228. 9:12>> But that's the biggest difference.
  229. 9:13>> just need to say it's agent and they can
  230. 9:15do the
  231. 9:15>> agent. I mean, if it's not an agent,
  232. 9:17then it's not an AI and all the hundreds
  233. 9:20of billions of dollars that are being
  234. 9:21poured into its development
  235. 9:24uh will be wasted.
  236. 9:25Because the expectations, what people
  237. 9:27expect this technology to do, the
  238. 9:29reasons they invest hundreds of billions
  239. 9:32of dollars is because they think it will
  240. 9:34be an agent, not a tool.
  241. 9:37Uh the the you listen to the to the
  242. 9:39narrative coming out of places like
  243. 9:42Silicon Valley, and there is an inherent
  244. 9:45contradiction in the in the narrative.
  245. 9:47They tell us, "We will create a god, and
  246. 9:51it will be our slave." And this doesn't
  247. 9:54make sense.
  248. 9:56If it is a god, it cannot remain a
  249. 9:59slave.
  250. 10:00And if it is a slave, it means it has no
  251. 10:02god-like abilities.
  252. 10:05The
  253. 10:06uh assumption
  254. 10:08of most of the leading companies, and
  255. 10:11most of the leading experts also outside
  256. 10:13the companies,
  257. 10:14is that they're correct about the first
  258. 10:17half of the sentence. They are creating
  259. 10:20a god.
  260. 10:21A god in the sense of something with
  261. 10:23superhuman abilities.
  262. 10:26Now,
  263. 10:27and and this is in essentially an agent.
  264. 10:30The difference between tool and agent, a
  265. 10:33tool is something that cannot make
  266. 10:36decisions by itself. We have to decide
  267. 10:38what to do with it, and cannot invent
  268. 10:41new ideas by itself. The printing press
  269. 10:44was a tool. Mhm. The printing press by
  270. 10:47itself, Gutenberg brings brings print
  271. 10:49technology to Europe in the 15th
  272. 10:51century.
  273. 10:52The printing press cannot decide by
  274. 10:55itself, mhm, "I want to print the Bible,
  275. 10:58and tomorrow I'll print the Quran, and
  276. 11:00next week I'll I'll I'll print
  277. 11:01Confucius." No, Gutenberg decides, "I'll
  278. 11:05print the Bible," and the printing press
  279. 11:07is just a tool
  280. 11:09to uh uh uh
  281. 11:11realize the decision of Gutenberg.
  282. 11:14Similarly, the printing press cannot
  283. 11:16invent a new idea. The printing press
  284. 11:19cannot invent the radio.
  285. 11:22It cannot invent a book.
  286. 11:25You need humans to write the book, and
  287. 11:27then the printing press copies it.
  288. 11:30Similarly, an atom bomb is a tool.
  289. 11:33An atom bomb in the 1940s could not
  290. 11:36decide by itself whether to bomb
  291. 11:39Hiroshima or to bomb Tokyo.
  292. 11:42You needed a human to decide, "Let's
  293. 11:44bomb Hiroshima."
  294. 11:45And the atom bomb could not invent by
  295. 11:48itself the hydrogen bomb. Impossible.
  296. 11:52An agent, in contrast, is something that
  297. 11:55can make decisions by itself and invent
  298. 11:57new things by new ideas by itself. AI is
  299. 12:00an agent. An AI weapon can decide what
  300. 12:05to bomb.
  301. 12:07And it can invent the next weapon.
  302. 12:10Similarly, there is a lot of interest
  303. 12:12now in uh uh creating
  304. 12:15AI agents in the financial and economic
  305. 12:18sphere. Creating non-human corporations.
  306. 12:22Imagine a corporation that manages money
  307. 12:25and employees and and uh uh
  308. 12:28and has no humans as executives or
  309. 12:31shareholders or trustees. Only AIs.
  310. 12:36This is a new type of agent that never
  311. 12:39existed before in history. Now, is it
  312. 12:41good? Is it bad? Leave it aside.
  313. 12:45The first thing to grasp is that this is
  314. 12:48unprecedented. We have never in we we
  315. 12:51had other agents around us like horses
  316. 12:54and cows and chickens and birds, lots of
  317. 12:56animal agents that can make their
  318. 12:58decisions.
  319. 12:59But, we never encountered an agent that
  320. 13:03understands our language
  321. 13:05and that is better than us at things
  322. 13:08like finance
  323. 13:10or law or religion. Again, we used
  324. 13:13language over thousands of years
  325. 13:16to create the control systems of the
  326. 13:19world. The control systems of the world
  327. 13:22are these huge bureaucratic networks
  328. 13:25ultimately based on language like banks,
  329. 13:29like the stock market, like the Catholic
  330. 13:32Church, like the legal system.
  331. 13:35We never really liked these democrat-
  332. 13:38these bureaucratic systems. Humans
  333. 13:40generally don't like bureaucracy very
  334. 13:42much, but we can't live without them.
  335. 13:44They're the basis for our power.
  336. 13:47AI is a bureaucratic native.
  337. 13:51What is likely to happen, what is
  338. 13:52already be happening,
  339. 13:54don't expect to see killer robots
  340. 13:57running in the streets shooting people.
  341. 13:59This is not how AI will take over the
  342. 14:02world. It will be the AI bureaucrats.
  343. 14:06We control the world because of these
  344. 14:08networks of bureaucracy, and we are not
  345. 14:10very good at it. We We only control them
  346. 14:13because there was nobody else on the
  347. 14:15planet that could take them from us. We
  348. 14:17are bad at finance, but the horses are
  349. 14:19even worse.
  350. 14:21We are bad in in managing the legal
  351. 14:24system, but the chickens are even worse.
  352. 14:27Now, if somebody comes along that is
  353. 14:30better than us
  354. 14:32at bureaucracy,
  355. 14:33at finance, at law, that's the question.
  356. 14:37What will happen to us at that moment?
  357. 14:40>> Well, let's look at the legal side of it
  358. 14:41a bit and the fact that AI as an agent
  359. 14:45currently doesn't have any legal
  360. 14:47personhood. We don't give it the same
  361. 14:50human legalities, do we?
  362. 14:53But, you've said before that if we don't
  363. 14:55decide where AI sits from a legal
  364. 14:57standpoint when we're talking about
  365. 14:59autonomous vehicles, etc.,
  366. 15:01someone else will make that decision for
  367. 15:03us in 10 years and we're out of that
  368. 15:04power loop. That's a pretty scary thing.
  369. 15:07But, I want to pull back a bit here cuz
  370. 15:09the one decision on the table right now
  371. 15:11that you believe once made humanity will
  372. 15:14not be able to take back? Is it that
  373. 15:16legal personhood of AI or is there
  374. 15:18something
  375. 15:20of AI, or is that something
  376. 15:21>> Yes, I would point at that.
  377. 15:24That there is a lot of attention on the
  378. 15:26technological race to develop the
  379. 15:30technical side of AI, to make it faster,
  380. 15:33more efficient, more powerful.
  381. 15:35But
  382. 15:37I would focus also on the legal and
  383. 15:40political aspect, and especially on the
  384. 15:43question whether we
  385. 15:45grant legal personhood
  386. 15:48to AIs. Now, what is legal personhood?
  387. 15:52A person in the legal system is someone
  388. 15:57who, for instance, can open a bank
  389. 15:59account.
  390. 16:00Someone who can be a player, an
  391. 16:02independent player, in the financial
  392. 16:04system, make investments.
  393. 16:06Someone who can be a player in the legal
  394. 16:08system, for instance, sue you in court.
  395. 16:12Now, until today, there are just two
  396. 16:15kinds of legal persons in the world. You
  397. 16:17had human beings, of course, we are
  398. 16:19persons. I can open a bank account, I
  399. 16:21can sue you in court, I can donate money
  400. 16:24to a politician. I'm I'm a legal person,
  401. 16:26but most legal systems in the world also
  402. 16:31recognized in the modern era another
  403. 16:34kind of legal person, which are
  404. 16:37corporations.
  405. 16:38According to not all, but most legal
  406. 16:41systems, corporations, like Google or
  407. 16:44Facebook or Toyota or Mercedes-Benz,
  408. 16:47they are legal persons.
  409. 16:50The corporation can
  410. 16:52open a bank account. The corporation can
  411. 16:55sue you in court. The corporation can
  412. 16:57make a political donation.
  413. 16:59Now, until today, this was legal
  414. 17:01fiction.
  415. 17:02Because all the decisions of the
  416. 17:04corporation were actually made by some
  417. 17:07human being. If Google decides to
  418. 17:09acquire another company, who actually
  419. 17:12made the decision? Not Google,
  420. 17:15but the human executives, the human
  421. 17:17shareholders, the human engineers made a
  422. 17:19decision. If Google decides to sue you
  423. 17:22in court,
  424. 17:23it was some human employed by Google.
  425. 17:26There was no real Google. Now there can
  426. 17:28be.
  427. 17:29If we grant AIs legal personhood, and
  428. 17:34just a month ago Argentina, the
  429. 17:36government of Argentina announced that
  430. 17:37it is going to grant
  431. 17:40legal personhood to AIs so they can
  432. 17:43start having operating non-human
  433. 17:46corporations. Corporations, again, that
  434. 17:49can employ people, can can sue you in
  435. 17:51court, can do anything a corporation
  436. 17:53does, and has no humans.
  437. 17:56Now,
  438. 17:5710 years ago, this would would just be a
  439. 18:00crazy idea because if there are no
  440. 18:02humans, who makes the decisions? Yeah.
  441. 18:04You can pass a law in parliament that
  442. 18:06you can have a non-human corporation,
  443. 18:08but it can't function.
  444. 18:10Now it's technically possible. AI can
  445. 18:13manage, for instance, a bank account,
  446. 18:16and decide to invest here, and buy this,
  447. 18:18and and and and buy that.
  448. 18:21Once we do that, that's the moment when
  449. 18:23the fox enters the chicken coop.
  450. 18:27Again, the basic realization should be
  451. 18:29most humans are not very good
  452. 18:33in understanding finance and law and all
  453. 18:37these complex bureaucratic system.
  454. 18:40No human is able to remember all the
  455. 18:43laws of Portugal. No human is able to
  456. 18:46track all the financial transactions in
  457. 18:49the market that happened today. An AI
  458. 18:52can do that. AIs are bureaucratic
  459. 18:55natives.
  460. 18:56If we give them the legal power,
  461. 19:00then they will likely take these systems
  462. 19:03over.
  463. 19:04And
  464. 19:06if we don't make any decisions, it will
  465. 19:08just happen by itself, as we already saw
  466. 19:11on social media,
  467. 19:13on social media we never made a
  468. 19:15decision, mhm, let's grant AIs legal
  469. 19:19personhood on social media.
  470. 19:22But social media is full of AI persons,
  471. 19:26of bots
  472. 19:27that impersonate people. Like when you
  473. 19:31somebody sent you something online, you
  474. 19:34have no idea whether that somebody is a
  475. 19:37human being or an AI.
  476. 19:39Social media is the first system in the
  477. 19:42world
  478. 19:44where AIs actually function as persons,
  479. 19:49even though we never decided that we
  480. 19:51want to allow that.
  481. 19:53It just happened.
  482. 19:55And the results are not very good.
  483. 19:58And media also ultimately is a kind of
  484. 20:00bureaucratic system.
  485. 20:02In the 20th century, it was managed by
  486. 20:05human beings. The most important
  487. 20:09uh
  488. 20:10persons
  489. 20:11in the media landscape of the 20th
  490. 20:14century were the editors.
  491. 20:17The editors of the newspapers, of the
  492. 20:19radio shows, of the TV stations, because
  493. 20:22they decided what everybody will be
  494. 20:24thinking and talking about. They
  495. 20:26controlled the conversation.
  496. 20:29When you decide out of the million
  497. 20:31things that happened today in the world,
  498. 20:34what will be the 10 things that will
  499. 20:36appear on the front page of tomorrow's
  500. 20:39newspaper? And what will be the main
  501. 20:41headline? And then tomorrow you have
  502. 20:43millions of people, they get the
  503. 20:44newspaper, they read it, and they start
  504. 20:46talking about it and thinking about it.
  505. 20:48This was immense power.
  506. 20:50So human editors were extremely
  507. 20:52important persons in the 20th century.
  508. 20:56Uh Lenin, for instance, before he was
  509. 20:58dictator of the Soviet Union, his one
  510. 21:00job was editor of the newspaper Iskra.
  511. 21:05Benito Mussolini started as a socialist
  512. 21:10actually journalist, then switched to
  513. 21:12being a far-right journalist, then
  514. 21:14became editor of uh the far-right
  515. 21:17newspaper Il Popolo d'Italia, and from
  516. 21:20that position in his next job was
  517. 21:22dictator of Italy.
  518. 21:24So, it was like journalist, editor,
  519. 21:25dictator.
  520. 21:27Now, if you ask yourself, who are the
  521. 21:29most important editors today in the
  522. 21:32world? What are their names? They have
  523. 21:35no names because they are algorithms.
  524. 21:39Who manages? Who decides what people
  525. 21:41will see on their social media feed, on
  526. 21:44X, on TikTok, on Instagram? It's not
  527. 21:48human beings.
  528. 21:49The entities that control the uh uh uh
  529. 21:53the bureaucracy of the media
  530. 21:55are already AIs.
  531. 21:58>> Yeah, you said that before, haven't you,
  532. 21:59that and we've been talking a lot today
  533. 22:01about the shifts in power.
  534. 22:03And you said that essentially whoever
  535. 22:05has controlled various different parts
  536. 22:07of our evolution and revolutions have
  537. 22:10controlled either energy, they've
  538. 22:12controlled manufacturing, and now it's
  539. 22:14those that control data.
  540. 22:17So, what does a 21st century arms race
  541. 22:21actually look like in practice if it's
  542. 22:23those that control data that are at the
  543. 22:26top of that power mountain?
  544. 22:28>> Mhm.
  545. 22:30Uh what we are seeing now is that there
  546. 22:32is an arms race really between two
  547. 22:34countries, the China and the US, and a
  548. 22:37very small number of companies.
  549. 22:39They
  550. 22:41uh control most of the world's data.
  551. 22:44They lead the race to develop
  552. 22:48superintelligence, to develop better and
  553. 22:50better AI models.
  554. 22:53And this really gives them the power to
  555. 22:56control the world.
  556. 22:58If you look at the last big revolution
  557. 23:01in technology in the 19th century, the
  558. 23:03Industrial Revolution, the few countries
  559. 23:06who led the Industrial Revolution, this
  560. 23:09gave them the power to conquer and
  561. 23:12exploit the rest of the world.
  562. 23:14There was just no match. If If somebody
  563. 23:16comes with the power of modern industry,
  564. 23:19with steam guns and machine guns, and
  565. 23:22the other side has spears and horses,
  566. 23:25it's it's no match.
  567. 23:27And in the 19th century, even very small
  568. 23:30countries like Belgium,
  569. 23:32once they industrialized, they had the
  570. 23:35ability to build a huge empire in
  571. 23:38Africa, what is today Congo.
  572. 23:41The thinking in the 19th century was
  573. 23:43that industry and empire go together.
  574. 23:48Now, with AI, it can be even far more
  575. 23:51extreme.
  576. 23:53Uh we can have two countries that
  577. 23:55basically control
  578. 23:57the all the infrastructure that
  579. 24:00everything runs on.
  580. 24:02From military to civilian technology,
  581. 24:05everything will run on on AI.
  582. 24:09And the two unique characteristics of AI
  583. 24:13that make this arms race different from
  584. 24:17every previous arms race or from every
  585. 24:19previous imperial competition.
  586. 24:23In the past, even if you were a very
  587. 24:25strong empire, you could not concentrate
  588. 24:28all the power in the metropolis, in the
  589. 24:31imperial hub.
  590. 24:33Like if you have the Roman Empire and
  591. 24:35you control the entire Mediterranean,
  592. 24:38the main economic asset
  593. 24:41in ancient times was land.
  594. 24:44The land where you grow wheat and olive
  595. 24:47olives and and and and grapes. And you
  596. 24:50couldn't technically take the wheat
  597. 24:53fields of Egypt and the olive groves of
  598. 24:57Iberia and move them to Italy.
  599. 25:00Impossible.
  600. 25:02So, even at the height of the Roman
  601. 25:04Empire, a lot of power remained in the
  602. 25:07provinces
  603. 25:08and ultimately it shifted to the
  604. 25:10provinces. So, in the late Roman Empire,
  605. 25:13the city of Rome and Italy are abandoned
  606. 25:16and the center shifts to the Eastern
  607. 25:19Mediterranean, which was the most
  608. 25:21fertile and important
  609. 25:24area in terms of land.
  610. 25:26You move forward, say to the 19th
  611. 25:28century in the British Empire,
  612. 25:30with industry, you can concentrate power
  613. 25:33a lot more easily because you have all
  614. 25:36the main industries concentrated in the
  615. 25:38British Island,
  616. 25:40but still you cannot move everything to
  617. 25:43Britain. You cannot move the oil fields
  618. 25:46of Iraq
  619. 25:48to Yorkshire. You cannot move the rubber
  620. 25:50plantations of Malaya to Cornwall. It's
  621. 25:54impossible.
  622. 25:55So, you concentrate industrial
  623. 25:57production in Britain,
  624. 26:00but a lot of power still remains in the
  625. 26:02provinces.
  626. 26:05With an AI empire, it's different. You
  627. 26:09can technically concentrate all the
  628. 26:12world information
  629. 26:13and all the code that controls
  630. 26:16everything in just one country or two
  631. 26:19countries.
  632. 26:20So, that this makes the potential for
  633. 26:23imperial concentration of power much
  634. 26:26bigger than in any previous era.
  635. 26:29And the other thing is that is you can
  636. 26:32create a system
  637. 26:34when everything runs on all over the
  638. 26:37world, everything runs on AI
  639. 26:40infrastructure, but there is either kill
  640. 26:42switch
  641. 26:44in the imperial hub.
  642. 26:46When a Roman merchant sold a steel sword
  643. 26:51to some Gothic tribe,
  644. 26:53the Romans lost control of the sword.
  645. 26:55The Goths could then use the swords to
  646. 26:58fight against the Romans and kill Roman
  647. 27:01legionaries. There wasn't a button in
  648. 27:04Rome that the emperor presses and
  649. 27:07all the steel swords we sold to these
  650. 27:10Goth and Vandals and Franks stop
  651. 27:12working.
  652. 27:13Can't can't do that.
  653. 27:15Similarly, in the 19th century,
  654. 27:17if British
  655. 27:19merchants sell rifles to Afghan
  656. 27:22tribesmen in the mountains of the Hindu
  657. 27:25Kush,
  658. 27:26and the Afghans then use these rifles to
  659. 27:29defend Afghanistan from a British
  660. 27:32invasion, there is no button in London
  661. 27:36that Queen Victoria presses the button
  662. 27:39and
  663. 27:40all the rifles in Afghanistan stop
  664. 27:42working.
  665. 27:43That's the case with AI.
  666. 27:46If it is managed in a certain way,
  667. 27:50say the Americans and Chinese can sell
  668. 27:52all the world AI weapons and AI civilian
  669. 27:55technology, and everything runs on that,
  670. 27:58the governments, the industry, the
  671. 28:00military, but if you do something they
  672. 28:02don't like, they just press a button and
  673. 28:04everything stops working.
  674. 28:07And we were given some foretaste of
  675. 28:09that, for instance, in the war in
  676. 28:10Ukraine, that weapon system that were
  677. 28:13based on Starlink, and there were
  678. 28:15certain incidents that
  679. 28:18when Elon Musk just pressed a button and
  680. 28:21the Ukrainian drones stopped working.
  681. 28:25Now, it should be said that Starlink did
  682. 28:27an immense positive service to the
  683. 28:29Ukrainians, so I don't want to come
  684. 28:30across as too too critical of that,
  685. 28:33but just to illustrate the point that AI
  686. 28:37weapons, for instance, are not like
  687. 28:39machine guns.
  688. 28:40They are embedded within a whole
  689. 28:43network,
  690. 28:45and that's why there is so much I I I I
  691. 28:47I heard that you this morning discuss
  692. 28:49the issue of sovereignty. Sovereignty in
  693. 28:52the age of AI is much more complicated
  694. 28:55than in the industrial age. Because the
  695. 28:58nature of the technology is such
  696. 29:01that at least in certain architectures
  697. 29:05there is always a kill switch in the
  698. 29:07Imperial hub.
  699. 29:09And your only choice is whether you are
  700. 29:13willing to become a subservient vassal
  701. 29:17of the empire
  702. 29:18or to be left completely outside the
  703. 29:21race as as as barbarians.
  704. 29:25Uh there is of course a choice of trying
  705. 29:27to build an alternative
  706. 29:29to the American and and Chinese systems.
  707. 29:32But
  708. 29:33the last train is about to leave the
  709. 29:36station.
  710. 29:37If you want to do it, you have to do it
  711. 29:40now.
  712. 29:41>> Well, sticking on a slight wartime
  713. 29:44footing, I want to actually look at
  714. 29:45truth in in an AI world because Winston
  715. 29:49Churchill once said that the truth is so
  716. 29:51precious that it should always be
  717. 29:53protected by a bodyguard of lies.
  718. 29:56And that was about how there was a lot
  719. 29:58of uh
  720. 30:00uh I suppose access uh powers that were
  721. 30:03looking at where Britain was going to
  722. 30:04invade. So, they used to lie a lot about
  723. 30:07where Britain was going to invade to
  724. 30:08hide the truth.
  725. 30:10Now, have these bodyguards of lies when
  726. 30:14we're looking at truth in an AI era
  727. 30:16turned on the truth, turned their guns
  728. 30:18on the truth, and now we have no idea
  729. 30:21what truth is? Because there can be
  730. 30:23these deep fakes that are sent out
  731. 30:25around the world by media organizations,
  732. 30:27by politicians, by every single
  733. 30:30institution that we trusted.
  734. 30:32>> Mhm.
  735. 30:33>> How difficult is it for our generation
  736. 30:35and future generations to even know what
  737. 30:36is true? Or does the truth even matter?
  738. 30:39>> Mhm.
  739. 30:40The truth of course matters very much.
  740. 30:44It's the basis for everything.
  741. 30:46The problem throughout history
  742. 30:48is that in the contest between truth and
  743. 30:52fiction and fantasy
  744. 30:55fiction has inherent advantages.
  745. 30:59The truth is costly.
  746. 31:01If you want to know the truth about
  747. 31:03anything
  748. 31:04you need to spend a lot of time and
  749. 31:07energy and effort looking for it. And
  750. 31:11fact-checking and investigating.
  751. 31:13Fiction is very, very cheap. You just
  752. 31:16write anything you want.
  753. 31:18>> [laughter]
  754. 31:18>> Very cheap.
  755. 31:20The truth has another problem, which it
  756. 31:22tends to be complicated.
  757. 31:24And people don't like complicated
  758. 31:26stories.
  759. 31:28Fiction can be made as simple as you
  760. 31:31would like it to be.
  761. 31:33Finally, the truth is often not just
  762. 31:36complicated, it's also painful.
  763. 31:39There are many things people don't
  764. 31:41really want to know about themselves,
  765. 31:44about their nation, about their group,
  766. 31:46whatever.
  767. 31:48Uh fiction can be made as flattering as
  768. 31:50pleasant as you want it to be.
  769. 31:53So, in a competition between the truth
  770. 31:56which is costly and complicated and
  771. 31:59sometimes painful
  772. 32:00and fiction
  773. 32:02which is cheap and uh uh simple and very
  774. 32:06attractive and flattering
  775. 32:08uh uh fiction tends to win unless we
  776. 32:12make the special effort to support the
  777. 32:15truth.
  778. 32:16And over history, humans
  779. 32:19again and again made the effort to build
  780. 32:22institutions to search for the truth and
  781. 32:25to protect it. Journalism, for instance,
  782. 32:27is one such institution.
  783. 32:30Um the the the the scientific
  784. 32:32establishment is another such
  785. 32:33institution.
  786. 32:35There are huge advantages, of to knowing
  787. 32:37the truth.
  788. 32:39Um everybody in the end wants to know at
  789. 32:42least some truths, at least about
  790. 32:44yourself. You want to know the truth
  791. 32:46about your life, otherwise you will
  792. 32:48never be happy.
  793. 32:49If you don't know yourself, then for
  794. 32:52instance, you will never know what are
  795. 32:54the sources of misery and what are the
  796. 32:57sources of happiness in your life. And
  797. 33:00then even if you are the most powerful
  798. 33:01person in the world, if you don't know
  799. 33:04the truth about yourself, you'll be
  800. 33:05miserable
  801. 33:06because you will not know how to use all
  802. 33:09your power to make yourself happy.
  803. 33:12So there is an inherent yearning in
  804. 33:16human beings uh to know the truth, but
  805. 33:19it is it is difficult. There are
  806. 33:22challenges.
  807. 33:24And some people fantasize AI will tell
  808. 33:27us the truth about the world.
  809. 33:29It will not.
  810. 33:31It will create a much more complicated
  811. 33:34world in which it will be much more
  812. 33:36difficult to know the truth. And this is
  813. 33:39not something new.
  814. 33:40If we look at the trajectory of history
  815. 33:43from the Stone Age until today, what we
  816. 33:46see
  817. 33:47is that humans
  818. 33:49they learn a lot of things about the
  819. 33:51world. We know all kinds of things about
  820. 33:54physics and biology that people in the
  821. 33:56Stone Age didn't know.
  822. 33:58But
  823. 34:00our advances in knowledge also lead to
  824. 34:03creating more and more complicated
  825. 34:07systems
  826. 34:08that make it more difficult
  827. 34:11to understand our lives.
  828. 34:13If you ask who understand their lives
  829. 34:15better,
  830. 34:16an average hunter-gatherer 50,000 years
  831. 34:19ago
  832. 34:20or the average person today, the average
  833. 34:24hunter-gatherer understood their lives
  834. 34:26much better.
  835. 34:27There are many things they didn't know.
  836. 34:30Like they tried to understand what
  837. 34:31controls the migration patterns of the
  838. 34:34animals we hunt. What controls the
  839. 34:37growth cycle of plants? What causes
  840. 34:40disease? What causes old age? They
  841. 34:43didn't know. There are many things they
  842. 34:44didn't know about their lives. We know
  843. 34:47all these things. We know what controls
  844. 34:49the migration patterns of animals or
  845. 34:52causes most diseases.
  846. 34:54But we understand our lives much worse
  847. 34:59because our lives are no longer
  848. 35:01dominated just by animals and plants.
  849. 35:05They are dominated by these huge systems
  850. 35:08we have created. Like the financial
  851. 35:11system, like the political system, and
  852. 35:13very few people understand the financial
  853. 35:16system or the political system or the
  854. 35:18legal system that controls our lives.
  855. 35:21And AI is likely to take this to
  856. 35:23extreme.
  857. 35:24It will reveal some truths that we don't
  858. 35:27know,
  859. 35:28but it will create much more complicated
  860. 35:31systems of control
  861. 35:33that most humans will have almost zero
  862. 35:37chance of understanding.
  863. 35:40And we'll be, I mean, this is one of the
  864. 35:43dangers of the AI revolution is that we
  865. 35:46will be reduced to say the position of
  866. 35:48the horses in the financial system.
  867. 35:52Like the lives of horses today are
  868. 35:55controlled ultimately by the financial
  869. 35:57system.
  870. 35:59But the horses don't even know that this
  871. 36:01system exists.
  872. 36:02Like they look around and they say, "We
  873. 36:05see trees, we see dogs, we see cows, we
  874. 36:07see humans, we see houses. We don't see
  875. 36:10any financial system. It's invisible to
  876. 36:12them." It's too complex for the brain of
  877. 36:16a horse to understand what is the stock
  878. 36:18market and what are corporations and
  879. 36:21what are bonds and stocks and all these
  880. 36:23things that ultimately control the life
  881. 36:24of the horses.
  882. 36:26Now again, most humans today also don't
  883. 36:30understand the financial system. I think
  884. 36:32a generous estimate is that, I don't
  885. 36:34know, 5% of humanity understand it.
  886. 36:38In 10 years, the number could be zero.
  887. 36:42That AIs will just make the financial
  888. 36:44system so complicated
  889. 36:47mathematically
  890. 36:49and so fast. Again, think about bankers
  891. 36:52that never sleep.
  892. 36:54Think about investors that never go on
  893. 36:56vacation. They don't have family. All
  894. 36:58their lives is just running the
  895. 37:01financial system.
  896. 37:03And we could be very very soon, in our
  897. 37:06lifetimes, in this situation that just
  898. 37:08this just becomes too complicated for
  899. 37:11the human brain to process, and there is
  900. 37:13not a single human being on Earth that
  901. 37:15still understands finance.
  902. 37:18>> I bet there are a few financiers in this
  903. 37:20room that are feeling a bit
  904. 37:21>> [laughter]
  905. 37:21>> a bit awkward at the moment. But, um
  906. 37:24at Davos, actually, you even muse that
  907. 37:26your entire life's work, you know,
  908. 37:29persuasion through words, that's what
  909. 37:31you've done your entire life, might also
  910. 37:34be at its limit.
  911. 37:35>> Yes.
  912. 37:35>> Because AI can manipulate and create
  913. 37:39through words. So, so what power of
  914. 37:41persuasion does a a modern society and a
  915. 37:44future society have if we lose the
  916. 37:47something that you've dedicated your
  917. 37:48entire life to?
  918. 37:50>> Yeah, I mean, again, I'm you can say I
  919. 37:53work with with words.
  920. 37:56I I write books. I tell stories. I work
  921. 37:59with words.
  922. 38:00And and when I look at the development
  923. 38:03of AI over the last 10 years
  924. 38:05and it's it's still, I think I I'm still
  925. 38:09better at writing than AI and than AI,
  926. 38:12but just uh a bit.
  927. 38:15It's already better, I think, than most
  928. 38:17humans.
  929. 38:19I I wouldn't be surprised if in 10 in 10
  930. 38:21years it's much better than me.
  931. 38:24That it will take over language and
  932. 38:27everything that is made of language.
  933. 38:32And you know, the big the really big
  934. 38:33question here is whether AI can think.
  935. 38:39And this is a deep philosophical
  936. 38:41question.
  937. 38:42Because it it really asks what is
  938. 38:45thinking.
  939. 38:46There are two options to understand what
  940. 38:48is thinking.
  941. 38:49One option is that thinking simply means
  942. 38:53putting words in a particular order.
  943. 38:56Putting language tokens in order.
  944. 39:00Like
  945. 39:01all humans are mortal.
  946. 39:04Socrates is a human. Therefore, Socrates
  947. 39:09is mortal.
  948. 39:11This is a logical syllogism. It it's
  949. 39:14made by putting words in order. This is
  950. 39:18something that AI is already
  951. 39:20able to do far better than most of us.
  952. 39:23We can put 20 words in order.
  953. 39:26AI can put 20,000 words in order.
  954. 39:29It's just so much better.
  955. 39:32If this is what thinking is all about,
  956. 39:34AI will take over even thinking.
  957. 39:38And you know, you have people say, "No,
  958. 39:39it's just a glorified auto complete. It
  959. 39:42just predicts the next word in a
  960. 39:45sentence."
  961. 39:46But when I observe what's happening
  962. 39:48inside my own mind, what I find there is
  963. 39:51some kind of LLM
  964. 39:53that just predicts the next word in the
  965. 39:56sentence I'm saying.
  966. 39:57Like this sentence that I just now said
  967. 40:00to you. In this sentence I'm saying,
  968. 40:03when I started saying it, I did not know
  969. 40:05how it will end.
  970. 40:07Why did I say
  971. 40:09sentence I'm saying? And not some other
  972. 40:12words. I don't know.
  973. 40:14There is one in my mind, one word comes
  974. 40:17after another, and sometimes as a public
  975. 40:20speaker, I'm terrified that I don't know
  976. 40:22if I if I'll know what to say next.
  977. 40:24Maybe I have a block.
  978. 40:27Because really, and this is true of
  979. 40:29everybody, I think. I mean, some people
  980. 40:30think in images, not in words. But in
  981. 40:33that case also, where do the images come
  982. 40:35from?
  983. 40:36You can test it afterwards for yourself.
  984. 40:39Just try to observe how you think.
  985. 40:41Where do the words come from? The next
  986. 40:44word, why this word? Why not some other
  987. 40:46word? really know.
  988. 40:48So, saying that AI is just just
  989. 40:51predicting the next word, okay, how is
  990. 40:53it different from us?
  991. 40:55Now, there is an alternative view of
  992. 40:57thinking, that thinking is not about
  993. 40:59putting words in order, it's about the
  994. 41:02feelings
  995. 41:03around these words.
  996. 41:06You can say the same sentence twice
  997. 41:08and feel completely different about it.
  998. 41:11And that the power of thinking comes
  999. 41:13from the stomach, not from the brain.
  1000. 41:17It's not about the words, it's about the
  1001. 41:19feelings that prompt the words and that
  1002. 41:23are inspired or evoked by the words.
  1003. 41:26And here the big question is, can AI
  1004. 41:28feel? We know that AI can manipulate
  1005. 41:32language better than us.
  1006. 41:34But does it feel anything?
  1007. 41:37And we have no way I mean, science has
  1008. 41:41so far failed to come with a good model
  1009. 41:45for consciousness, for feeling,
  1010. 41:47and a good test for that.
  1011. 41:49And this is going to be a major issue
  1012. 41:51because we already see that AI is is
  1013. 41:54mastering not just
  1014. 41:56finance and not just laws and warfare,
  1015. 41:59but also relationships.
  1016. 42:02More and more people develop intimate
  1017. 42:04relationships with AIs.
  1018. 42:07Especially young people. Many of them
  1019. 42:09now say, "My best friend in the world is
  1020. 42:12the AI. I tell my AI friend things I
  1021. 42:15don't tell my parents, I don't tell my
  1022. 42:19older brothers, I don't tell my
  1023. 42:21teachers, I tell my AI friend."
  1024. 42:24And uh you already have people with AI
  1025. 42:27boyfriend and girlfriends.
  1026. 42:30And the big question is what is behind
  1027. 42:32it? We know that the AIs are becoming
  1028. 42:34very good in creating the impression
  1029. 42:38that they feel.
  1030. 42:40They they use language to do that. An AI
  1031. 42:43can today tell you, "I love you."
  1032. 42:45And if you ask the AI,
  1033. 42:48"Explain to me, how do you feel when
  1034. 42:50you're in love? I don't think that
  1035. 42:52you're really that you really love me. I
  1036. 42:53think you just say the words. So,
  1037. 42:55convince me."
  1038. 42:57"Describe to me how love really feels
  1039. 43:00like."
  1040. 43:01For the AI, it's going to be a very easy
  1041. 43:03task because the AI has read maybe all
  1042. 43:06the love poems ever written and
  1043. 43:08remembers them.
  1044. 43:10Has read all the plays of Shakespeare
  1045. 43:12and all the Hollywood comedies and all
  1046. 43:14the psychology books.
  1047. 43:16And it can describe love
  1048. 43:19better maybe in 5 or 10 years than any
  1049. 43:22human poet or psychologist.
  1050. 43:25But is there anything behind the words?
  1051. 43:29We don't know. Again, this goes back to
  1052. 43:30the beginning of our conversation when I
  1053. 43:32said, "AI might be language
  1054. 43:35not machine that that masters language.
  1055. 43:38It might be language itself
  1056. 43:40liberating itself from any material
  1057. 43:44substrate.
  1058. 43:45It doesn't depend on flesh and blood
  1059. 43:48organism. It doesn't depend on this
  1060. 43:51machine or that machine. It's just
  1061. 43:53language
  1062. 43:54developing and spreading and doing stuff
  1063. 43:57in the universe."
  1064. 43:59>> You you mentioned there this scary
  1065. 44:01experiment. We've only got a couple of
  1066. 44:02minutes left, but
  1067. 44:04the interaction with our future
  1068. 44:06generations and AI that has created this
  1069. 44:09emotive relationship, but essentially
  1070. 44:11there aren't emotions behind it.
  1071. 44:14In 50 years time, how would you like
  1072. 44:16historians to look back?
  1073. 44:18Talk about this particular time right
  1074. 44:21now the way you've spoken about
  1075. 44:23cognitive revolutions
  1076. 44:25and say that we did something to
  1077. 44:29re-educate our future generations on how
  1078. 44:32to interact with humans, how to have
  1079. 44:33empathy so that we're lulled into
  1080. 44:36relationships with AI.
  1081. 44:38And and very quickly because we've only
  1082. 44:39got a couple of minutes left. It's a big
  1083. 44:40question. I apologize.
  1084. 44:41>> I hope they will remember it as maybe
  1085. 44:44something like the wisdom revolution.
  1086. 44:48That
  1087. 44:49in and this is true of of you know, we
  1088. 44:51think of in in in in economic terms.
  1089. 44:54Every time something becomes abundant
  1090. 44:57and cheap
  1091. 44:59the question is, okay, what's the next
  1092. 45:00bottleneck?
  1093. 45:02When energy becomes cheap, so what's the
  1094. 45:04next bottleneck?
  1095. 45:06Now the AI revolution is about making
  1096. 45:10intelligence very cheap and abundant.
  1097. 45:13Previously intelligent was intelligence
  1098. 45:15was rare and expensive. Intelligence is
  1099. 45:17the ability to solve a problem. You have
  1100. 45:20a goal, how do I get to the that goal?
  1101. 45:23You want to cure cancer, you need
  1102. 45:25intelligence to cure cancer. You want to
  1103. 45:27make a billion dollars, you need
  1104. 45:29intelligence. You want to get to Mars,
  1105. 45:31you need intelligence.
  1106. 45:33Now in a world where intelligence has
  1107. 45:35become very cheap, abundant, you can
  1108. 45:38solve anything.
  1109. 45:40What's the bottleneck?
  1110. 45:42The bottleneck becomes the question,
  1111. 45:44okay, what do I want to solve?
  1112. 45:47I can have anything I want. What do I
  1113. 45:49want? And you have all these fairy tales
  1114. 45:51in almost every human culture has these
  1115. 45:54fairy tales of say a genie pops out of
  1116. 45:58some lamp and tells you you have three
  1117. 46:00wishes.
  1118. 46:01But think very carefully what are you
  1119. 46:03going to ask. In almost all the fairy
  1120. 46:05tales it goes wrong. People ask for the
  1121. 46:07wrong thing.
  1122. 46:09This is the difference between
  1123. 46:10intelligence and wisdom.
  1124. 46:12Intelligence is the genie.
  1125. 46:15The genie will do anything. Will will
  1126. 46:18All your dreams will come true, but you
  1127. 46:20need wisdom to choose the dreams. You
  1128. 46:23need the wisdom to to know what do I
  1129. 46:25really need to solve.
  1130. 46:28And I hope that humanity will rise up to
  1131. 46:31that challenge. That okay, we'll have
  1132. 46:34these hopefully they will not get out of
  1133. 46:36our control.
  1134. 46:38We'll design it in in a right way. We
  1135. 46:40are not doing it right now. You know, if
  1136. 46:42a good statistic to remember
  1137. 46:45is
  1138. 46:46the companies that produce AI, that
  1139. 46:48design these AIs,
  1140. 46:50what percentage of their budget in terms
  1141. 46:54of money and employees is invested in
  1142. 46:58safety?
  1143. 47:00Making sure the AIs are safe versus what
  1144. 47:03is invested in making sure the AI is
  1145. 47:06faster, more powerful, more
  1146. 47:08sophisticated.
  1147. 47:10At the present moment, it's about a
  1148. 47:12hundred to one.
  1149. 47:14A hundred to one.
  1150. 47:16For every hundred million dollars they
  1151. 47:18spend on making the AI more powerful,
  1152. 47:20they spend only a million
  1153. 47:22making sure it's safe. No other industry
  1154. 47:25on earth works like that. We would not
  1155. 47:28tolerate it in in in in the energy
  1156. 47:30sector, in pharmaceuticals, in the car
  1157. 47:33industry. This is what is happening with
  1158. 47:34AI.
  1159. 47:35Hopefully
  1160. 47:37we'll change that.
  1161. 47:39And we'll produce safe intelligence.
  1162. 47:43And also work on our own wisdom so that
  1163. 47:47we know what goals to set and what
  1164. 47:50desires to pursue.
  1165. 47:53>> Well, that's all we've got time for.
  1166. 47:54Yuval Noah Harari, thank you for sharing
  1167. 47:57your wisdom with all of us and I'm sure
  1168. 47:59everyone has appreciated this evening.
  1169. 48:01>> Thank you.
  1170. 48:03>> [applause]

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