The.Thinking.Game.2024.1080p.WEBRip.x264.AAC5.1-[YTS.MX] Movie Subtitles

1 00:00:02,000 --> 00:00:07,000 Downloaded from YTS.MX 2 00:00:08,000 --> 00:00:13,000 Official YIFY movies site: YTS.MX 3 00:00:30,682 --> 00:00:31,814 Hi, Alpha. 4 00:00:32,684 --> 00:00:34,034 Hello. 5 00:00:34,077 --> 00:00:35,296 Can you help me write code? 6 00:00:37,559 --> 00:00:39,082 I was trained to answer questions, 7 00:00:40,562 --> 00:00:42,216 but I'm able to learn. 8 00:00:43,695 --> 00:00:45,958 That's very open-minded of you. 9 00:00:46,002 --> 00:00:48,657 Thank you. I'm glad you're happy with me. 10 00:00:50,311 --> 00:00:51,312 What's this guy doing? 11 00:00:54,532 --> 00:00:56,621 That's a developer. 12 00:00:56,665 --> 00:00:58,014 What do you think he's working on? 13 00:00:59,537 --> 00:01:01,017 That's a tough question. 14 00:01:01,061 --> 00:01:02,888 He might be working on a new feature, 15 00:01:02,932 --> 00:01:05,239 a bug fix or something else. 16 00:01:05,282 --> 00:01:06,327 It's quite possible. 17 00:01:06,370 --> 00:01:07,328 Yes. 18 00:01:10,548 --> 00:01:11,854 Do you see my backpack? 19 00:01:13,986 --> 00:01:15,292 That's a badminton racket. 20 00:01:15,336 --> 00:01:17,903 It's a squash racket, but that's pretty close. 21 00:01:20,123 --> 00:01:21,690 That's a badminton racket. 22 00:01:21,733 --> 00:01:23,126 No, but you're not the first person 23 00:01:23,170 --> 00:01:24,649 to make that mistake. 24 00:01:34,703 --> 00:01:35,965 AI, the technology 25 00:01:36,008 --> 00:01:38,402 that has been advancing at breakneck speed. 26 00:01:38,446 --> 00:01:40,796 Artificial intelligence is all the rage. 27 00:01:40,839 --> 00:01:42,319 Some are now raising alarm about... 28 00:01:42,363 --> 00:01:43,886 It is definitely concerning. 29 00:01:43,929 --> 00:01:45,322 This is an AI arms race. 30 00:01:45,366 --> 00:01:46,454 We don't know 31 00:01:46,497 --> 00:01:47,585 how this is all going to shake out, 32 00:01:47,629 --> 00:01:48,891 but it's clear something is happening. 33 00:01:53,809 --> 00:01:55,115 I'm kind of restless. 34 00:01:57,073 --> 00:02:00,120 Trying to build AGI is the most exciting journey, 35 00:02:00,163 --> 00:02:02,383 in my opinion, that humans have ever embarked on. 36 00:02:04,254 --> 00:02:06,300 If you're really going to take that seriously, 37 00:02:06,343 --> 00:02:08,345 there isn't a lot of time. 38 00:02:08,389 --> 00:02:09,825 Life's very short. 39 00:02:12,523 --> 00:02:14,482 My whole life goal is to solve 40 00:02:14,525 --> 00:02:16,875 artificial general intelligence. 41 00:02:16,919 --> 00:02:20,357 And on the way, use AI as the ultimate tool 42 00:02:20,401 --> 00:02:21,750 to solve all the world's 43 00:02:21,793 --> 00:02:23,230 most complex scientific problems. 44 00:02:25,449 --> 00:02:27,103 I think that's bigger than the Internet. 45 00:02:27,147 --> 00:02:28,452 I think that's bigger than mobile. 46 00:02:29,671 --> 00:02:31,020 I think it's more like 47 00:02:31,063 --> 00:02:32,891 the advent of electricity or fire. 48 00:02:45,687 --> 00:02:46,731 World leaders 49 00:02:46,775 --> 00:02:48,516 and artificial intelligence experts 50 00:02:48,559 --> 00:02:49,908 are gathering for the first ever 51 00:02:49,952 --> 00:02:52,781 global AI safety summit, 52 00:02:52,824 --> 00:02:54,348 set to look at the risks 53 00:02:54,391 --> 00:02:56,611 of the fast growing technology and also... 54 00:02:56,654 --> 00:02:57,873 I think this is a hugely 55 00:02:57,916 --> 00:03:00,136 critical moment for all humanity. 56 00:03:01,093 --> 00:03:03,618 It feels like we're on the cusp 57 00:03:03,661 --> 00:03:05,794 of some incredible things happening. 58 00:03:05,837 --> 00:03:07,056 Let me take you through 59 00:03:07,099 --> 00:03:08,275 some of the reactions in today's papers. 60 00:03:08,318 --> 00:03:10,015 AGI is pretty close, I think. 61 00:03:10,059 --> 00:03:12,844 There's clearly huge interest in what it is capable of, 62 00:03:12,888 --> 00:03:14,803 where it's taking us. 63 00:03:14,846 --> 00:03:15,978 This is the moment 64 00:03:16,021 --> 00:03:17,936 I've been living my whole life for. 65 00:03:22,202 --> 00:03:24,987 I've always been fascinated by the mind. 66 00:03:25,030 --> 00:03:27,990 So I set my heart on studying neuroscience 67 00:03:28,033 --> 00:03:29,948 because I wanted to get inspiration 68 00:03:29,992 --> 00:03:31,646 from the brain for AI. 69 00:03:31,689 --> 00:03:33,300 I remember asking Demis, 70 00:03:33,343 --> 00:03:34,649 "What's the end game?" 71 00:03:34,692 --> 00:03:36,172 You know? So you're going to come here 72 00:03:36,216 --> 00:03:38,218 and you're going to study neuroscience 73 00:03:38,261 --> 00:03:41,438 and you're going to maybe get a Ph.D. if you work hard. 74 00:03:42,874 --> 00:03:44,136 And he said, 75 00:03:44,180 --> 00:03:46,965 "You know, I want to be able to solve AI. 76 00:03:47,009 --> 00:03:49,359 "I want to be able to solve intelligence." 77 00:03:49,403 --> 00:03:51,361 The human brain is the only existent proof 78 00:03:51,405 --> 00:03:53,494 we have, perhaps in the entire universe, 79 00:03:53,537 --> 00:03:56,279 that general intelligence is possible at all. 80 00:03:56,323 --> 00:03:59,282 And I thought someone in this building 81 00:03:59,326 --> 00:04:00,370 should be interested 82 00:04:00,414 --> 00:04:02,590 in general intelligence like I **. 83 00:04:02,633 --> 00:04:04,809 And then Shane's name popped up. 84 00:04:04,853 --> 00:04:07,334 Our next speaker today is Shane Legg. 85 00:04:07,377 --> 00:04:08,596 He's from New Zealand, 86 00:04:08,639 --> 00:04:11,512 where he trained in math and classical ballet. 87 00:04:11,555 --> 00:04:14,079 Are machines actually becoming more intelligent? 88 00:04:14,123 --> 00:04:16,517 Some people say yes, some people say no. 89 00:04:16,560 --> 00:04:17,648 It's not really clear. 90 00:04:17,692 --> 00:04:18,867 We know they're getting a lot faster 91 00:04:18,910 --> 00:04:20,216 at doing computations. 92 00:04:20,260 --> 00:04:21,609 But are we actually going forwards 93 00:04:21,652 --> 00:04:23,828 in terms of general intelligence? 94 00:04:23,872 --> 00:04:25,700 We were both obsessed with AGI, 95 00:04:25,743 --> 00:04:27,397 artificial general intelligence. 96 00:04:27,441 --> 00:04:29,704 So today I'm going to be talking about 97 00:04:29,747 --> 00:04:32,097 different approaches to building AGI. 98 00:04:32,141 --> 00:04:33,882 With my colleague Demis Hassabis, 99 00:04:33,925 --> 00:04:35,884 we're looking at ways to bring in ideas 100 00:04:35,927 --> 00:04:37,451 from theoretical neuroscience. 101 00:04:37,494 --> 00:04:41,585 I felt like we were the keepers of a secret 102 00:04:41,629 --> 00:04:43,152 that no one else knew. 103 00:04:43,195 --> 00:04:45,415 Shane and I knew no one in academia 104 00:04:45,459 --> 00:04:47,809 would be supportive of what we were doing. 105 00:04:47,852 --> 00:04:50,855 AI was almost an embarrassing word 106 00:04:50,899 --> 00:04:52,857 to use in academic circles, right? 107 00:04:52,901 --> 00:04:54,903 If you said you were working on AI, 108 00:04:54,946 --> 00:04:57,993 then you clearly weren't a serious scientist. 109 00:04:58,036 --> 00:05:00,082 So I convinced Shane the right way to do it 110 00:05:00,125 --> 00:05:01,344 would be to start a company. 111 00:05:01,388 --> 00:05:03,215 Okay, we're going to try to do 112 00:05:03,259 --> 00:05:04,913 artificial general intelligence. 113 00:05:04,956 --> 00:05:06,915 It may not even be possible. 114 00:05:06,958 --> 00:05:08,482 We're not quite sure how we're going to do it, 115 00:05:08,525 --> 00:05:11,528 but we have some ideas or, kind of, approaches. 116 00:05:11,572 --> 00:05:14,966 Huge amounts of money, huge amounts of risk, 117 00:05:15,010 --> 00:05:16,533 lots and lots of compute. 118 00:05:18,709 --> 00:05:20,320 And if we pull this off, 119 00:05:20,363 --> 00:05:23,540 it'll be the biggest thing ever, right? 120 00:05:23,584 --> 00:05:26,108 That is a very hard thing for a typical investor 121 00:05:26,151 --> 00:05:27,327 to put their money on. 122 00:05:27,370 --> 00:05:29,633 It's almost like buying a lottery ticket. 123 00:05:29,677 --> 00:05:32,462 I'm going to be speaking about the system of neuroscience 124 00:05:32,506 --> 00:05:36,727 and how it might be used to help us build AGI. 125 00:05:36,771 --> 00:05:37,946 Finding initial funding 126 00:05:37,989 --> 00:05:39,208 for this was very hard. 127 00:05:39,251 --> 00:05:41,253 We're going to solve all of intelligence. 128 00:05:41,297 --> 00:05:42,907 You can imagine some of the looks I g***t 129 00:05:42,951 --> 00:05:44,779 when we were pitching that around. 130 00:05:44,822 --> 00:05:47,912 So I'm a V.C. and I look at about 131 00:05:47,956 --> 00:05:51,002 700 to 1,000 projects a year. 132 00:05:51,046 --> 00:05:54,789 And I fund literally 1% of those. 133 00:05:54,832 --> 00:05:57,139 About eight projects a year. 134 00:05:57,182 --> 00:06:00,272 So that means 99% of the time, you're in "No" mode. 135 00:06:00,316 --> 00:06:01,622 "Wait a minute. I'm telling you, 136 00:06:01,665 --> 00:06:03,798 "this is the most important thing of all time. 137 00:06:03,841 --> 00:06:05,103 "I'm giving you all this build-up 138 00:06:05,147 --> 00:06:06,235 "about how... explain 139 00:06:06,278 --> 00:06:07,671 "how it connects with the brain, 140 00:06:07,715 --> 00:06:09,412 "why the time's right now, and then you're asking me, 141 00:06:09,456 --> 00:06:10,979 "'But what's your, how are you going to make money? 142 00:06:11,022 --> 00:06:12,154 "'What's your product?'" 143 00:06:12,197 --> 00:06:15,984 It's like, so prosaic a question. 144 00:06:16,506 -->...