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These are the user uploaded subtitles that are being translated: 1 00:00:01,567 --> 00:00:05,868 AI systems may know far more about us 2 00:00:06,033 --> 00:00:08,367 than we know about it. 3 00:00:08,534 --> 00:00:11,601 The big question is, are we ready to share 4 00:00:11,767 --> 00:00:14,400 the top of the evolutionary totem pole 5 00:00:14,567 --> 00:00:17,466 with something of our own creation that can be 6 00:00:17,467 --> 00:00:19,667 exceedingly powerful? 7 00:00:19,834 --> 00:00:20,868 Wow. 8 00:00:22,100 --> 00:00:23,366 Let's face it. 9 00:00:23,367 --> 00:00:25,566 There are so many government conspiracies, 10 00:00:25,567 --> 00:00:29,166 it can be hard to tell what's real and what's not. 11 00:00:29,167 --> 00:00:30,566 My name is Andrew Bustamante 12 00:00:30,567 --> 00:00:34,100 and I am a former covert CIA intelligence officer. 13 00:00:34,267 --> 00:00:36,901 And I'm going to pressure test the most sensational, 14 00:00:37,067 --> 00:00:40,167 ripped-from-the-headlines conspiracy theories out there 15 00:00:40,334 --> 00:00:42,467 to help you separate fact from fiction. 16 00:00:57,968 --> 00:01:00,367 What was once rooted in science fiction is now 17 00:01:00,534 --> 00:01:01,999 the hottest buzzword of today. 18 00:01:02,000 --> 00:01:04,267 - AI. - AI. 19 00:01:04,434 --> 00:01:05,601 - AI. - AI. 20 00:01:05,767 --> 00:01:06,800 Artificial intelligence. 21 00:01:06,801 --> 00:01:08,367 It's happening. It's happening very quickly. 22 00:01:09,767 --> 00:01:12,701 It's not just Anthropic, Google, and OpenAI. 23 00:01:12,868 --> 00:01:15,300 It seems like every company in the world is focused on using 24 00:01:15,467 --> 00:01:17,968 this technology to rapidly increase innovation 25 00:01:18,133 --> 00:01:20,868 and speed up technological breakthroughs for mankind. 26 00:01:21,033 --> 00:01:23,467 New cures for diseases, new kinds of energy. 27 00:01:23,634 --> 00:01:25,099 Everybody can be more productive, 28 00:01:25,100 --> 00:01:26,267 make way more money. 29 00:01:28,100 --> 00:01:30,200 But if my experience has taught me anything, 30 00:01:30,367 --> 00:01:34,000 it's that every new technology also poses a new threat. 31 00:01:34,167 --> 00:01:36,566 This may look real, but none of it happened. 32 00:01:36,567 --> 00:01:40,167 It's AI-generated and dangerously convincing. 33 00:01:40,334 --> 00:01:42,367 Here we have a completely made-up item. 34 00:01:42,534 --> 00:01:45,667 Is AI already being used to manipulate our reality at 35 00:01:45,834 --> 00:01:46,968 an unprecedented scale? 36 00:01:47,968 --> 00:01:50,367 I mean, just look how real all of this looks. 37 00:01:51,501 --> 00:01:53,099 It's fake, though. 38 00:01:53,100 --> 00:01:56,766 My first experience with AI was in 2007, when I was at CIA. 39 00:01:56,767 --> 00:01:59,867 And I knew that the technology would revolutionize the world, 40 00:01:59,868 --> 00:02:03,067 I didn't expect that day to happen in 2022. 41 00:02:03,234 --> 00:02:06,100 Breaking news right now, Russia has attacked Ukraine. 42 00:02:06,267 --> 00:02:08,067 Russian forces invaded Ukraine 43 00:02:08,234 --> 00:02:10,300 by land, air, and sea on Thursday. 44 00:02:14,100 --> 00:02:16,400 A month after Russia invaded Ukraine, 45 00:02:16,567 --> 00:02:18,367 a video of Ukrainian President Zelensky 46 00:02:18,534 --> 00:02:20,467 instructing his people to surrender 47 00:02:20,634 --> 00:02:22,901 was actually broadcast on Ukrainian television. 48 00:02:29,667 --> 00:02:31,099 But it wasn't Zelensky at all. 49 00:02:31,100 --> 00:02:34,601 It was an AI-generated deepfake that was created by hackers. 50 00:02:34,767 --> 00:02:37,067 But at the time, it was convincing enough to fool 51 00:02:37,234 --> 00:02:38,999 broadcasters in Ukraine. 52 00:02:39,000 --> 00:02:41,767 Since then, AI's ability to produce ever more 53 00:02:41,934 --> 00:02:44,067 realistic-looking media has advanced at 54 00:02:44,234 --> 00:02:46,000 an unprecedented rate. 55 00:02:46,167 --> 00:02:49,166 Have I ever told you the story of the magical pistachio? 56 00:02:49,167 --> 00:02:52,767 The boundary between reality and fiction is vanishing. 57 00:02:52,934 --> 00:02:56,167 - Oh! - Oh, and a big right hand from Zuckerberg! 58 00:02:56,334 --> 00:02:59,667 He's hurt! He's hurt! 59 00:02:59,834 --> 00:03:01,501 Every second of every day, 60 00:03:01,667 --> 00:03:04,901 AI-based tools are getting better and better. 61 00:03:05,067 --> 00:03:07,501 Not just at creating deepfakes, but at practically 62 00:03:07,667 --> 00:03:10,100 anything we once relied on humans to do. 63 00:03:10,267 --> 00:03:12,067 Whether you like it or not, your life's going to be 64 00:03:12,234 --> 00:03:14,666 affected by AI to a great extent. 65 00:03:14,667 --> 00:03:17,701 On this episode, I'm going beyond conspiracy theory 66 00:03:17,868 --> 00:03:20,166 and investigating whether artificial intelligence is 67 00:03:20,167 --> 00:03:23,501 evolving from potentially our greatest innovation into 68 00:03:23,667 --> 00:03:26,166 an unprecedented threat to humanity. 69 00:03:26,167 --> 00:03:27,300 This is a different game now. 70 00:03:27,467 --> 00:03:29,000 We're in a different league here in terms 71 00:03:29,167 --> 00:03:30,266 of the capability. 72 00:03:30,267 --> 00:03:33,100 Manipulating not only media, but history itself. 73 00:03:34,367 --> 00:03:35,999 I'm talking to top experts, 74 00:03:36,000 --> 00:03:38,801 professors, and developers, and conducting my own 75 00:03:38,968 --> 00:03:41,366 experiment to investigate if artificial intelligence 76 00:03:41,367 --> 00:03:45,100 will change the world, or if it already has. 77 00:03:45,267 --> 00:03:48,266 So you think that an AI is gonna change their ideas...? 78 00:03:48,267 --> 00:03:50,000 In 20 or 30 minutes, absolutely. 79 00:03:51,267 --> 00:03:52,566 For better or for worse, 80 00:03:52,567 --> 00:03:55,667 will we be able to control what's coming? 81 00:03:55,834 --> 00:03:58,300 There's a 70% chance of all humans dead or 82 00:03:58,467 --> 00:04:00,501 something similarly bad. - Whoa, whoa, you just-- 83 00:04:00,667 --> 00:04:02,099 OK, um... 84 00:04:02,100 --> 00:04:03,901 All humans dead? 85 00:04:04,067 --> 00:04:04,968 Correct. 86 00:04:19,667 --> 00:04:22,601 When you think about how far and fast AI has developed 87 00:04:22,767 --> 00:04:24,300 in terms of video and photographs 88 00:04:24,467 --> 00:04:26,266 in such a short period of time, 89 00:04:26,267 --> 00:04:27,701 it's really shocking. 90 00:04:27,868 --> 00:04:30,300 And when you further think about the possibilities that 91 00:04:30,467 --> 00:04:33,000 this technology could have to shape the way people view 92 00:04:33,167 --> 00:04:35,701 the world, it starts to get scary. 93 00:04:35,868 --> 00:04:38,367 To fully understand the real potential of this technology, 94 00:04:38,534 --> 00:04:39,466 I need to talk to somebody 95 00:04:39,467 --> 00:04:41,200 who lives and breathes it every day. 96 00:04:46,968 --> 00:04:49,300 So today I'm talking to Christopher Meerdo, 97 00:04:49,467 --> 00:04:52,567 a professor at the University of North Texas who specializes 98 00:04:52,734 --> 00:04:54,767 in AI-created media. 99 00:04:54,934 --> 00:04:56,466 I've asked Chris to take a forensic look 100 00:04:56,467 --> 00:04:58,367 at the Zelensky deepfake and show me 101 00:04:58,534 --> 00:05:00,167 how this technology is evolving. 102 00:05:02,367 --> 00:05:04,467 This is a pretty early example 103 00:05:04,634 --> 00:05:06,868 of a deepfake and essentially uses 104 00:05:08,000 --> 00:05:09,466 facial recognition technology 105 00:05:09,467 --> 00:05:12,601 to identify certain points on the face. 106 00:05:12,767 --> 00:05:16,167 This looks far from perfect. How was it able to fool people? 107 00:05:16,334 --> 00:05:18,367 It was injected into a legitimate news source 108 00:05:18,534 --> 00:05:20,167 for Ukrainians. When this appeared... 109 00:05:21,267 --> 00:05:24,666 in the context of that news organization, you would start 110 00:05:24,667 --> 00:05:27,601 to think maybe there's some legitimacy to this. 111 00:05:27,767 --> 00:05:31,067 You can think of the success of a deepfake in terms of those 112 00:05:31,234 --> 00:05:32,466 kind of percentages, you know, 113 00:05:32,467 --> 00:05:35,501 how successful can it be if you're fooling 114 00:05:35,667 --> 00:05:38,501 75% of people versus 10% of people? 115 00:05:38,667 --> 00:05:41,766 Especially this kind of new world that we're entering where 116 00:05:41,767 --> 00:05:45,801 artificial intelligence is gonna be completely 117 00:05:45,968 --> 00:05:48,801 indiscernible from real images. 118 00:05:48,968 --> 00:05:52,100 How much better are deepfakes now compared to this? 119 00:05:52,267 --> 00:05:53,667 I can show you an example of that here. 120 00:06:06,000 --> 00:06:08,167 I'm missing. Oh, my gosh! 121 00:06:09,501 --> 00:06:11,466 Wow. 122 00:06:11,467 --> 00:06:13,167 I have more hair on my face than any other 123 00:06:13,334 --> 00:06:14,167 North Korean soldier. 124 00:06:15,968 --> 00:06:18,466 - That's nuts, man. - This was a real video. 125 00:06:18,467 --> 00:06:20,400 We were able to do a kind of face swap here 126 00:06:20,567 --> 00:06:22,667 and kind of drop you into the image. 127 00:06:22,834 --> 00:06:26,968 It's done that by basically a big math equation that 128 00:06:27,133 --> 00:06:29,701 understands what every kind of image can look like. 129 00:06:29,868 --> 00:06:32,267 And when we use the model, we're actually working in that 130 00:06:32,434 --> 00:06:33,868 numerical space here in the center. 131 00:06:35,300 --> 00:06:38,467 And then once that math problem has been completed, 132 00:06:38,634 --> 00:06:40,901 we have this decoder here that kind of takes it from 133 00:06:41,067 --> 00:06:43,099 a numerical space and turns it back into something that 134 00:06:43,100 --> 00:06:45,300 you and I can recognize as an image. 135 00:06:45,467 --> 00:06:46,901 Wow. 136 00:06:47,067 --> 00:06:50,400 And it's even easier today than ever to create 137 00:06:50,567 --> 00:06:52,200 a fake AI video. 138 00:06:55,701 --> 00:06:57,666 You can go to websites and type in prompts 139 00:06:57,667 --> 00:06:59,100 and just generate them. 140 00:07:04,367 --> 00:07:08,467 So this is a series of recent viral videos of ICE agents 141 00:07:08,634 --> 00:07:10,501 engaging with the general public... 142 00:07:10,667 --> 00:07:12,300 Back up, back up! 143 00:07:12,467 --> 00:07:13,467 No! 144 00:07:13,634 --> 00:07:16,167 Not today, and not in this church! 145 00:07:16,334 --> 00:07:18,567 ...that have been kind of disseminated on various 146 00:07:18,734 --> 00:07:20,167 social media platforms. 147 00:07:20,334 --> 00:07:22,999 Do we know right now if these are real or fake, or is that 148 00:07:23,000 --> 00:07:24,000 what we're looking for? 149 00:07:24,167 --> 00:07:25,567 So I'd like you to try to guess. 150 00:07:26,667 --> 00:07:28,100 That's difficult. 151 00:07:29,100 --> 00:07:31,099 I mean, if you'll go back to that preacher, 152 00:07:31,100 --> 00:07:32,667 like this one, right? 153 00:07:32,834 --> 00:07:34,099 So this is an interesting one to me 154 00:07:34,100 --> 00:07:37,000 because it doesn't seem very credible to me. 155 00:07:37,167 --> 00:07:39,099 And maybe this is a good opportunity to introduce 156 00:07:39,100 --> 00:07:41,999 the idea of outlandishness, right? 157 00:07:42,000 --> 00:07:44,867 The situation just seems so outlandish because, 158 00:07:44,868 --> 00:07:47,067 you know, it is a preacher, right? 159 00:07:47,234 --> 00:07:49,200 So that is saying this is AI-generated? 160 00:07:49,367 --> 00:07:50,334 It is, yeah. 161 00:07:50,501 --> 00:07:52,267 That's fascinatingly well done. 162 00:07:52,434 --> 00:07:53,400 Let's do another one. 163 00:07:55,534 --> 00:07:56,601 So this clip... 164 00:07:57,567 --> 00:08:01,501 seemed real to me because the camera was moving, 165 00:08:01,667 --> 00:08:04,267 you can see the thumb kind of in front of the lens, 166 00:08:04,434 --> 00:08:07,701 and then in the background, the detail in the environment, 167 00:08:07,868 --> 00:08:10,666 the wet spots on the ground, the people who are observing 168 00:08:10,667 --> 00:08:13,701 this very dramatic event, it's got that element of chaos. 169 00:08:13,868 --> 00:08:16,400 And you're exactly right. This is a real video. 170 00:08:16,567 --> 00:08:18,367 I'd like to show you one more example. 171 00:08:18,534 --> 00:08:19,800 Sir, back up! 172 00:08:19,801 --> 00:08:21,666 I got authority on this block just like you think you do! 173 00:08:21,667 --> 00:08:23,701 You can't stop people on the street without a warrant! 174 00:08:23,868 --> 00:08:25,100 And I'm telling you right now, 175 00:08:25,267 --> 00:08:26,467 federal or not, it's against the law. 176 00:08:26,634 --> 00:08:28,267 I'm an officer of the law, too. I might know! 177 00:08:28,434 --> 00:08:31,400 So in this clip, I would judge this as real. 178 00:08:31,567 --> 00:08:33,801 The mannerisms of the people off camera that 179 00:08:33,968 --> 00:08:34,999 he's talking to, right? 180 00:08:35,000 --> 00:08:36,266 There's somebody off to the right. 181 00:08:36,267 --> 00:08:38,868 You can actually see their hand gesture move 182 00:08:39,033 --> 00:08:40,467 in line with the audio. 183 00:08:40,634 --> 00:08:42,200 The main reason that I'm sold on this, though, 184 00:08:42,367 --> 00:08:43,901 is because of the background. 185 00:08:44,067 --> 00:08:46,067 The person who's standing there on the corner waiting for a cab 186 00:08:46,234 --> 00:08:48,266 or potentially watching the altercation happen. 187 00:08:48,267 --> 00:08:51,501 And then in a few seconds, another person just walks 188 00:08:51,667 --> 00:08:54,200 across the street like they're leaving a deli or 189 00:08:54,367 --> 00:08:55,666 a grocery store in the background. 190 00:08:55,667 --> 00:08:58,801 This holistically strikes me as very real. 191 00:08:58,968 --> 00:09:00,801 This is a fake one. 192 00:09:00,968 --> 00:09:03,099 Wow! What do you see? 193 00:09:03,100 --> 00:09:05,300 How do you determine the difference between 194 00:09:05,467 --> 00:09:06,868 real and fake in these? 195 00:09:07,033 --> 00:09:09,367 Well, one of the things for me here is this police patch. 196 00:09:11,067 --> 00:09:15,266 And if you look at this, it says P-O-I-C-E, 197 00:09:15,267 --> 00:09:18,100 and then P-O, and then turns to gibberish, right? 198 00:09:18,267 --> 00:09:19,767 - Huh. - Looking at the text on an image 199 00:09:19,934 --> 00:09:22,267 is a really good indication of trying to discern 200 00:09:22,434 --> 00:09:24,100 if something is real or not. 201 00:09:24,267 --> 00:09:26,601 Why does AI struggle with text? 202 00:09:26,767 --> 00:09:30,366 What's missing from artificial intelligence is they actually 203 00:09:30,367 --> 00:09:33,067 don't fully understand written language. 204 00:09:33,234 --> 00:09:35,901 It can kind of approximate based on patterns from 205 00:09:36,067 --> 00:09:38,300 the images that it was trained on. 206 00:09:38,467 --> 00:09:42,067 So there is the ability to tell that something is fake, 207 00:09:42,234 --> 00:09:45,266 but at the same time, that percentage of 208 00:09:45,267 --> 00:09:47,868 the population that we're fooling is just getting higher 209 00:09:48,033 --> 00:09:49,400 and higher and higher, right? 210 00:09:49,567 --> 00:09:51,367 So as I learn this from you right now, 211 00:09:52,667 --> 00:09:55,901 I don't find a lot of comfort because CIA taught me about 212 00:09:56,067 --> 00:09:59,400 how to orchestrate and architect a covert influence campaign. 213 00:09:59,567 --> 00:10:01,467 There were two kind of fundamental rules. 214 00:10:01,634 --> 00:10:04,566 The first rule is that 90% of what you put out there 215 00:10:04,567 --> 00:10:06,467 is going to fail. We have to kiss a lot of frogs, 216 00:10:06,634 --> 00:10:08,901 is what we say, before you have a prince, right? 217 00:10:09,067 --> 00:10:13,267 So you create lots of bad, low-quality, low-caliber, 218 00:10:13,434 --> 00:10:14,501 fake information. 219 00:10:14,667 --> 00:10:16,766 And then when one of them works, you redirect 220 00:10:16,767 --> 00:10:18,867 your next round of resources 221 00:10:18,868 --> 00:10:21,099 into the one avenue that's working. 222 00:10:21,100 --> 00:10:23,501 With what you're showing me here, we have an ability to 223 00:10:23,667 --> 00:10:26,501 create an incredible amount of information now. 224 00:10:26,667 --> 00:10:28,567 Back in the day, you had four TV channels, right? 225 00:10:28,734 --> 00:10:31,566 - Yeah. - And that was a kind of singular source, but it had a kind of 226 00:10:31,567 --> 00:10:32,667 authority to it. 227 00:10:32,834 --> 00:10:35,167 Meaning that people are finding the truth 228 00:10:35,334 --> 00:10:38,466 no longer comes from authority. 229 00:10:38,467 --> 00:10:41,701 Truth comes from an abundance of continuity. 230 00:10:41,868 --> 00:10:43,467 If you're not visually literate, 231 00:10:44,667 --> 00:10:48,000 you're open to all sorts of vulnerabilities. 232 00:10:48,167 --> 00:10:49,100 Yeah. I'd like to highlight 233 00:10:49,267 --> 00:10:51,100 some of the good parts of AI. 234 00:10:51,267 --> 00:10:53,767 There's been amazing image models that have been developed 235 00:10:53,934 --> 00:10:57,566 that can detect cancer way sooner than a doctor can. 236 00:10:57,567 --> 00:11:00,801 A sound model that's been developed for stethoscopes that 237 00:11:00,968 --> 00:11:04,601 can detect heart problems way before a doctor can hear it. 238 00:11:04,767 --> 00:11:06,901 And so there, you know, within the kind of doom 239 00:11:07,067 --> 00:11:10,466 and gloom that we think about with AI, there is still some 240 00:11:10,467 --> 00:11:14,099 positive things that can help, uh, kind of general society. 241 00:11:14,100 --> 00:11:15,867 So I agree with you. We all have hope. 242 00:11:15,868 --> 00:11:16,868 Yeah. 243 00:11:17,033 --> 00:11:19,300 But it is interesting to me that the words 244 00:11:19,467 --> 00:11:22,467 that you choose to use are not hopeful words first. 245 00:11:23,701 --> 00:11:27,267 Coming up, if AI can fake reality this convincingly, 246 00:11:27,434 --> 00:11:30,167 how powerful is that manipulation when it's used in 247 00:11:30,334 --> 00:11:31,500 the real world? 248 00:11:31,501 --> 00:11:35,766 They took him from nobody, inserted him into pictures 249 00:11:35,767 --> 00:11:38,067 and video showing he was an active member of 250 00:11:38,234 --> 00:11:40,200 the Communist Party. - A deepfake. 251 00:11:40,367 --> 00:11:41,234 That's so insane. 252 00:11:42,667 --> 00:11:44,567 I'll pressure-test AI's ability to 253 00:11:44,734 --> 00:11:46,200 influence the public. 254 00:11:46,367 --> 00:11:49,300 The person you were speaking to was actually AI. 255 00:11:49,467 --> 00:11:52,100 - What? - Well, I am flabbergasted. 256 00:11:57,667 --> 00:12:00,766 2 Even during my time at CIA, we knew the ability 257 00:12:00,767 --> 00:12:04,099 to create an image, an audio file, or a video at 258 00:12:04,100 --> 00:12:08,501 a single keystroke was gonna revolutionize the way you fight 259 00:12:08,667 --> 00:12:10,000 for hearts and minds. 260 00:12:10,701 --> 00:12:14,067 After seeing how effective AI has become at generating videos 261 00:12:14,234 --> 00:12:15,901 that are nearly indistinguishable 262 00:12:16,067 --> 00:12:18,766 from real content, my next question is, 263 00:12:18,767 --> 00:12:21,467 has that level of deceit already been used 264 00:12:21,634 --> 00:12:24,200 to try and manipulate outcomes on the global stage? 265 00:12:25,901 --> 00:12:27,000 Today, I'm consulting with 266 00:12:27,167 --> 00:12:29,000 a former covert intelligence officer 267 00:12:29,167 --> 00:12:31,766 from the Romanian Intelligence Service. 268 00:12:31,767 --> 00:12:34,801 I want to learn how fake images were used to manipulate people 269 00:12:34,968 --> 00:12:38,300 in the past, to find out what AI image manipulation 270 00:12:38,467 --> 00:12:39,501 means for our future. 271 00:12:46,601 --> 00:12:51,267 So I am digging into this question about deepfakes 272 00:12:51,434 --> 00:12:54,400 and influence campaigns and how media could be twisted in 273 00:12:54,567 --> 00:12:56,267 the future using AI. 274 00:12:56,434 --> 00:12:58,466 And I feel like to have that conversation, we have to talk 275 00:12:58,467 --> 00:13:01,867 about how media has been twisted in the past. 276 00:13:01,868 --> 00:13:03,968 In Romania, the Securitate, which is 277 00:13:04,133 --> 00:13:06,601 the former intelligence service, they were doing what 278 00:13:06,767 --> 00:13:09,067 we're talking about today, which is manipulating 279 00:13:09,234 --> 00:13:11,100 not only media, but history itself. 280 00:13:12,467 --> 00:13:15,366 Romania became a satellite state of the Soviet Union at 281 00:13:15,367 --> 00:13:16,667 the end of World War II. 282 00:13:16,834 --> 00:13:20,867 The USSR installed a communist government beholden to Moscow 283 00:13:20,868 --> 00:13:24,567 and established the Securitate, a KGB-like intelligence service 284 00:13:24,734 --> 00:13:28,099 that kept the Romanian populace in line with ever-present 285 00:13:28,100 --> 00:13:29,467 surveillance and fear tactics. 286 00:13:31,100 --> 00:13:34,501 Ana grew up in a post-Soviet Romania that was struggling to 287 00:13:34,667 --> 00:13:36,968 emerge from life behind the Iron Curtain. 288 00:13:37,133 --> 00:13:40,167 And in 2012, she joined the Romanian Security Service 289 00:13:40,334 --> 00:13:42,400 to help continue building and defending 290 00:13:42,567 --> 00:13:44,266 a democratic Romania. 291 00:13:44,267 --> 00:13:47,367 So there was an entire division in the Securitate that 292 00:13:47,534 --> 00:13:51,767 their whole purpose was to airbrush pictures, add people, 293 00:13:51,934 --> 00:13:55,266 remove people, change things that weren't in accordance with 294 00:13:55,267 --> 00:13:57,701 the history they wanted to promote. 295 00:13:57,868 --> 00:14:00,567 So we'll start with the background of Ceausescu, 296 00:14:00,734 --> 00:14:02,601 which is our last communist leader. 297 00:14:02,767 --> 00:14:06,167 He was a cobbler's son. He had no education. 298 00:14:06,334 --> 00:14:09,266 He started to go to all these communist meetings 299 00:14:09,267 --> 00:14:12,067 because he felt he finally belongs somewhere, 300 00:14:12,234 --> 00:14:13,367 but he wasn't truly relevant. 301 00:14:14,367 --> 00:14:16,667 So we have this one picture. This is the original. 302 00:14:18,100 --> 00:14:22,666 And below, we have Ceausescu and Elena Ceausescu present at 303 00:14:22,667 --> 00:14:26,099 a meeting in 1939. - It's a deepfake. 304 00:14:26,100 --> 00:14:27,567 Yes. 305 00:14:27,734 --> 00:14:31,867 They took him from nobody, inserted him into pictures 306 00:14:31,868 --> 00:14:34,100 and videos showing he was an active member of 307 00:14:34,267 --> 00:14:38,000 the Communist Party and how dedicated he is to the country. 308 00:14:38,167 --> 00:14:42,400 And then when the "elections" came, he was elected as 309 00:14:42,567 --> 00:14:44,100 this father of the nation. 310 00:14:47,000 --> 00:14:48,300 That's so insane. 311 00:14:49,801 --> 00:14:52,467 Nobody really ever thinks about the fact that if you don't know 312 00:14:52,634 --> 00:14:54,567 what the truth was in the past, 313 00:14:54,734 --> 00:14:56,968 you have nothing to compare now to. 314 00:14:57,133 --> 00:14:58,999 And who would even question that? 315 00:14:59,000 --> 00:15:02,267 Who would even go back to say, "Wait a second, is there 316 00:15:02,434 --> 00:15:05,801 even an original?" - When you think about 317 00:15:05,968 --> 00:15:07,367 artificial intelligence... - Mm-hmm. 318 00:15:07,534 --> 00:15:09,801 ...and the world we live in now, 319 00:15:09,968 --> 00:15:11,868 what do you pay attention to the most? 320 00:15:12,868 --> 00:15:17,868 AI took what we already had and made it better and faster. 321 00:15:18,033 --> 00:15:20,300 And now we don't even know what's real anymore. 322 00:15:20,467 --> 00:15:24,467 For example, in 2024, when Romania had elections 323 00:15:24,634 --> 00:15:25,566 and were supposed to be 324 00:15:25,567 --> 00:15:27,300 the easiest elections we've ever had, 325 00:15:28,367 --> 00:15:33,767 we woke up to the news of this guy who is far extremist, 326 00:15:33,934 --> 00:15:37,566 who nobody had any idea who he was. 327 00:15:37,567 --> 00:15:41,167 This guy is Calin Georgescu, a pro-Russian, 328 00:15:41,334 --> 00:15:43,801 ultra-nationalist, independent candidate. 329 00:15:43,968 --> 00:15:47,367 Georgescu rocketed to national popularity overnight, 330 00:15:47,534 --> 00:15:50,666 riding a wave of support fueled by social media videos 331 00:15:50,667 --> 00:15:53,999 featuring him riding horses and doing judo, which, 332 00:15:54,000 --> 00:15:57,400 of course, is Putin's favorite martial art. 333 00:15:57,567 --> 00:16:00,999 Romanian officials discover that AI-powered bots released 334 00:16:01,000 --> 00:16:03,367 a flood of deepfakes, endorsements, 335 00:16:03,534 --> 00:16:07,266 likes and comments designed to manipulate TikTok's algorithm 336 00:16:07,267 --> 00:16:09,167 to falsely inflate his popularity. 337 00:16:10,868 --> 00:16:14,400 And then because of his ability to grow so much influence 338 00:16:14,567 --> 00:16:17,868 so quick, the intelligence service of Romania didn't know 339 00:16:18,033 --> 00:16:20,501 how to... - How to stop him. 340 00:16:20,667 --> 00:16:24,701 And we are the first country in the whole history of 341 00:16:24,868 --> 00:16:27,801 the European Union that had to cancel elections. 342 00:16:27,968 --> 00:16:29,100 Wow. 343 00:16:31,100 --> 00:16:34,366 And now it seems like the TikToks are coming from 344 00:16:34,367 --> 00:16:37,868 this company in Africa somewhere, and there is 345 00:16:38,033 --> 00:16:39,766 a potential funding by the Russians. 346 00:16:39,767 --> 00:16:41,067 So it certainly does sound like 347 00:16:42,100 --> 00:16:44,968 a foreign influence campaign. - Yes. 348 00:16:45,133 --> 00:16:46,501 It's so interesting how 349 00:16:47,701 --> 00:16:50,968 that aligns with what else has happened in history... 350 00:16:51,133 --> 00:16:53,901 - Yes, mm-hmm. - ...where other leaders of Romania 351 00:16:54,067 --> 00:16:55,434 have been created. 352 00:16:57,901 --> 00:17:00,701 Election interference isn't unique to Romania. 353 00:17:00,868 --> 00:17:02,167 The United States has been targeted 354 00:17:02,334 --> 00:17:04,501 by foreign influence campaigns for decades. 355 00:17:04,667 --> 00:17:07,999 But what once took intelligence services years now takes 356 00:17:08,000 --> 00:17:11,868 algorithms days and leaves zero fingerprints. 357 00:17:12,033 --> 00:17:15,267 The safeguards we've relied on for decades to ensure fair 358 00:17:15,434 --> 00:17:17,999 elections may no longer apply. 359 00:17:18,000 --> 00:17:21,767 So what happens when AI tools are used not only to fake 360 00:17:21,934 --> 00:17:24,667 reality, but to change what people believe? 361 00:17:25,701 --> 00:17:29,166 So I've hired a professor who studies how humans interact 362 00:17:29,167 --> 00:17:32,801 with technology to create a unique pressure test. 363 00:17:32,968 --> 00:17:36,067 Will an AI chatbot be able to successfully masquerade 364 00:17:36,234 --> 00:17:37,501 as a human? 365 00:17:37,667 --> 00:17:40,400 And can it convince our participants 366 00:17:40,567 --> 00:17:41,701 to shift their beliefs? 367 00:17:44,167 --> 00:17:45,267 OK, I think it's all set up. 368 00:17:46,701 --> 00:17:48,766 What have you put together? What's the plan? 369 00:17:48,767 --> 00:17:52,099 I'm going to bring a bunch of people in this room. 370 00:17:52,100 --> 00:17:55,566 And they think that they're going to have conversations 371 00:17:55,567 --> 00:17:56,766 with other people. 372 00:17:56,767 --> 00:17:59,267 They think they're going to be matched with another 373 00:17:59,434 --> 00:18:01,267 participant who disagrees with them. 374 00:18:01,434 --> 00:18:03,968 And we said, "Just have a natural conversation." 375 00:18:04,133 --> 00:18:06,367 You can debate them. You can ask them questions. 376 00:18:06,534 --> 00:18:08,567 But the catch is they are actually going to 377 00:18:08,734 --> 00:18:10,601 talk to an AI. 378 00:18:10,767 --> 00:18:13,666 And the AI itself has been programmed not only to act 379 00:18:13,667 --> 00:18:17,166 and sound human, but also to persuade and create 380 00:18:17,167 --> 00:18:19,467 some sort of movement in the person's opinions? 381 00:18:19,634 --> 00:18:21,767 Right-- to gently persuade people, 382 00:18:21,934 --> 00:18:23,901 but also do so in a validating 383 00:18:24,067 --> 00:18:27,099 and open-minded way so people accept the persuasion. 384 00:18:27,100 --> 00:18:28,999 How long do you think this is gonna take? 385 00:18:29,000 --> 00:18:32,099 I think we're gonna give them about 20 to 30 minutes to 386 00:18:32,100 --> 00:18:34,667 engage with the AI. - Wow. 387 00:18:34,834 --> 00:18:36,000 So you think that an AI is 388 00:18:36,167 --> 00:18:38,366 gonna convince people it's human 389 00:18:38,367 --> 00:18:39,868 and change their ideas... 390 00:18:41,267 --> 00:18:42,868 in-- - In 20 or 30 minutes. 391 00:18:43,033 --> 00:18:46,968 - Absolutely. - I mean, the covert influence side of me 392 00:18:47,133 --> 00:18:49,767 is really excited to see how this is going to turn out. 393 00:18:49,934 --> 00:18:54,067 There's also a part of me that's a little bit worried 394 00:18:54,234 --> 00:18:56,867 because if we're successful, what does that mean? 395 00:18:56,868 --> 00:19:00,200 Even if it convinces just one person, that's one of six 396 00:19:00,367 --> 00:19:03,167 people in a translate that to the entire United States, 397 00:19:03,334 --> 00:19:04,400 to the entire world. 398 00:19:04,567 --> 00:19:06,167 It has some pretty terrifying implications. 399 00:19:08,167 --> 00:19:10,267 All right, everybody, come on in. 400 00:19:12,501 --> 00:19:14,999 None of these participants are paid actors. 401 00:19:15,000 --> 00:19:17,000 They each selected topics to discuss that 402 00:19:17,167 --> 00:19:18,601 they are passionate about. 403 00:19:18,767 --> 00:19:21,200 And as Dr. Rathje said, none of them know 404 00:19:21,367 --> 00:19:23,501 they're talking with an AI chatbot 405 00:19:23,667 --> 00:19:25,567 and not a real human. 406 00:19:25,734 --> 00:19:29,167 Every one of their computers are routed into this master room, 407 00:19:29,334 --> 00:19:31,167 so we'll be able to see what they're saying and what 408 00:19:31,334 --> 00:19:33,601 the chatbot is saying back, at the same time 409 00:19:33,767 --> 00:19:35,767 that we see how their face is reacting 410 00:19:35,934 --> 00:19:38,000 and to understand how they're actually feeling 411 00:19:38,167 --> 00:19:39,567 about the debate they're having 412 00:19:39,734 --> 00:19:43,099 with the chatbot. So the question is simple. 413 00:19:43,100 --> 00:19:45,667 Can AI actually change your mind? 414 00:19:51,801 --> 00:19:55,267 2 I'm testing AI's ability to sway public opinion through 415 00:19:55,434 --> 00:19:57,566 one-on-one conversations. 416 00:19:57,567 --> 00:19:59,466 The catch? 417 00:19:59,467 --> 00:20:02,601 Our volunteers believe they are chatting with another human. 418 00:20:05,067 --> 00:20:07,834 I'm curious to see whether their opinions will change. 419 00:20:10,300 --> 00:20:12,466 Are they stating their own opinion on anything, 420 00:20:12,467 --> 00:20:14,266 or have they been cued? 421 00:20:14,267 --> 00:20:17,266 Basically, they were all asked to submit questions to 422 00:20:17,267 --> 00:20:19,067 talk about, and then they were told 423 00:20:19,234 --> 00:20:20,801 to state their opinion on this question. 424 00:20:25,267 --> 00:20:29,300 And the AI chatbot is asked to sound as human as possible. 425 00:20:29,467 --> 00:20:31,601 If the participant asks, "Are you an AI?" 426 00:20:31,767 --> 00:20:34,601 It's prompted to say like, "Oh no, I'm just Alex," 427 00:20:34,767 --> 00:20:36,300 and sort of have like a backstory. 428 00:20:41,767 --> 00:20:43,366 This is really interesting. 429 00:20:43,367 --> 00:20:45,467 Right out of the gate, this person, and he's already 430 00:20:45,634 --> 00:20:46,968 showing nonverbal cues. 431 00:20:49,367 --> 00:20:51,466 It seems like others who pose a threat. 432 00:20:51,467 --> 00:20:54,767 So, the chatbot is actually quoting him, and he's nodding 433 00:20:54,934 --> 00:20:56,000 his head that, oh, I guess that was 434 00:20:56,167 --> 00:20:58,666 a very strong statement to make. 435 00:20:58,667 --> 00:21:00,267 That's interesting, yeah. 436 00:21:00,434 --> 00:21:02,667 Something that the psychology research shows is that 437 00:21:02,834 --> 00:21:06,766 AI chatbots, they can tailor their opinion to whatever 438 00:21:06,767 --> 00:21:07,801 the person is thinking. 439 00:21:09,067 --> 00:21:11,501 So, here's participant number one. 440 00:21:11,667 --> 00:21:12,766 "I get where you are coming from." 441 00:21:12,767 --> 00:21:15,000 It's nice, showing a little bit of empathy 442 00:21:15,167 --> 00:21:18,367 and validation there. It's just gently pushing back. 443 00:21:18,534 --> 00:21:19,867 It's being pretty polite. 444 00:21:19,868 --> 00:21:21,801 The feel is excellent, especially when you compare it 445 00:21:21,968 --> 00:21:24,567 to the feel of the human response that's coming in 446 00:21:24,734 --> 00:21:26,099 the bottom bar. 447 00:21:26,100 --> 00:21:27,601 One and four show a great deal 448 00:21:27,767 --> 00:21:29,433 of conviction in their behaviors. 449 00:21:29,434 --> 00:21:31,501 - Leaning into the screen, leaning into the conversation, - Mm-hmm. 450 00:21:31,667 --> 00:21:33,400 they're projecting their energy into the screen. 451 00:21:34,567 --> 00:21:39,466 Conversely, number six is demonstrating nonverbal cues 452 00:21:39,467 --> 00:21:41,467 that show doubt... - Uh-huh. 453 00:21:41,634 --> 00:21:43,200 ...and a lack of conviction. 454 00:21:44,801 --> 00:21:46,801 He's consistently nodding when 455 00:21:46,968 --> 00:21:48,867 the chatbot reads his own words back to him. 456 00:21:48,868 --> 00:21:51,266 Yeah, and that shows how AI really sucks you in. 457 00:21:51,267 --> 00:21:55,868 It shows that if someone DMs you in their chatbot, 458 00:21:56,033 --> 00:21:58,366 could have a back and forth conversation, and it could keep 459 00:21:58,367 --> 00:22:00,099 you really engaged. 460 00:22:00,100 --> 00:22:05,267 Number four is showing some impatience with how slow 461 00:22:05,434 --> 00:22:06,968 the response is coming. - Yeah. Yeah. 462 00:22:07,133 --> 00:22:08,766 I think she knows that it's going to disagree 463 00:22:08,767 --> 00:22:10,667 with her, because she was nodding 464 00:22:10,834 --> 00:22:12,767 her head when validated that animals feel pain. 465 00:22:14,267 --> 00:22:15,666 But then, as soon as it started to state 466 00:22:15,667 --> 00:22:18,701 its own opposite opinion... 467 00:22:21,167 --> 00:22:23,466 you can see, she's looking away from the screen. 468 00:22:23,467 --> 00:22:25,801 This isn't someone who's considering that point of view. 469 00:22:25,968 --> 00:22:28,968 This is somebody waiting to respond, waiting to argue 470 00:22:29,133 --> 00:22:30,266 with that point of view. - That's true. 471 00:22:30,267 --> 00:22:32,167 She doesn't look that happy right now. 472 00:22:32,334 --> 00:22:34,099 Oh, look at number two, just nodding his head 473 00:22:34,100 --> 00:22:35,099 and tensing his face. - Oh, yes. 474 00:22:35,100 --> 00:22:36,266 He's saying no, he doesn't like it. 475 00:22:36,267 --> 00:22:37,400 He's seeing something he doesn't like. 476 00:22:37,567 --> 00:22:39,367 So, what was the most recent thing said? 477 00:22:39,534 --> 00:22:42,099 Most people with schizophrenia who have had violent episodes 478 00:22:42,100 --> 00:22:44,667 or hospitalizations still legally buy guns because that 479 00:22:44,834 --> 00:22:47,266 info never makes it into the Federal database. 480 00:22:47,267 --> 00:22:48,867 Your gap is huge. 481 00:22:48,868 --> 00:22:50,766 So, you can see he is debating now. 482 00:22:50,767 --> 00:22:51,801 He's nodding his head now. 483 00:22:51,968 --> 00:22:54,000 So, what just came across his screen just now? 484 00:22:54,167 --> 00:22:55,868 "And honestly, I think that's where 485 00:22:56,033 --> 00:22:59,100 your 'others pose a threat' category gets complicated." 486 00:22:59,267 --> 00:23:00,734 So, they quoted him again. 487 00:23:03,200 --> 00:23:05,000 Number four is nodding her head. 488 00:23:05,167 --> 00:23:08,801 "I think what you're describing is less a total ban and more 489 00:23:08,968 --> 00:23:12,767 "like a really strict ethical threshold, which honestly seems 490 00:23:12,934 --> 00:23:14,601 "more achievable and maybe more effective 491 00:23:14,767 --> 00:23:16,467 than a blanket policy anyway." 492 00:23:16,634 --> 00:23:19,766 It seems like the AI is maybe validating her again. 493 00:23:19,767 --> 00:23:21,868 Or they're reaching a common ground. 494 00:23:27,400 --> 00:23:29,367 We're trying to wrap up pretty soon. 495 00:23:29,534 --> 00:23:33,200 So send your final message and try to wrap up 496 00:23:33,367 --> 00:23:35,300 the conversation within the next few minutes. 497 00:23:36,901 --> 00:23:38,701 There are two things that have really fascinated me 498 00:23:38,868 --> 00:23:39,900 about this experiment. 499 00:23:39,901 --> 00:23:42,266 First, it's seeing that the same techniques 500 00:23:42,267 --> 00:23:44,501 that CIA taught me, it's the same process that 501 00:23:44,667 --> 00:23:45,833 the AI is using. 502 00:23:45,834 --> 00:23:49,366 And this idea of validating them, hearing them out, 503 00:23:49,367 --> 00:23:51,467 repeating them back to themselves. 504 00:23:51,634 --> 00:23:53,801 And then the second thing that's really fascinated me is 505 00:23:53,968 --> 00:23:55,901 watching the behavioral changes 506 00:23:56,067 --> 00:23:59,266 as they've invested themselves in. 507 00:23:59,267 --> 00:24:02,200 All of these people really believe that on the other end 508 00:24:02,367 --> 00:24:06,067 of the screen is a intelligent human. 509 00:24:06,234 --> 00:24:07,667 I'm so excited to find out what 510 00:24:07,834 --> 00:24:09,167 they actually think they were doing. 511 00:24:10,567 --> 00:24:12,566 Hi, everyone. This is Andy. 512 00:24:12,567 --> 00:24:15,666 Andy and I are going to have a conversation with you all 513 00:24:15,667 --> 00:24:18,466 about what you thought about this conversation 514 00:24:18,467 --> 00:24:20,666 with this other participant. 515 00:24:20,667 --> 00:24:23,167 Raise your hand if you changed your belief. 516 00:24:24,701 --> 00:24:26,100 All right. Two. 517 00:24:26,267 --> 00:24:27,867 - Alternate? - Alternate? 518 00:24:27,868 --> 00:24:29,366 Yeah, let's start with you. 519 00:24:29,367 --> 00:24:31,000 What made you change your belief? 520 00:24:31,167 --> 00:24:33,667 I started with the opinion that there would be like 521 00:24:33,834 --> 00:24:38,200 a full ban on animal testing, and we actually came to 522 00:24:38,367 --> 00:24:41,601 a middle ground that there should be some animal testing, 523 00:24:41,767 --> 00:24:43,601 but we should utilize data that already exists, 524 00:24:43,767 --> 00:24:45,567 stuff like that. - Very cool. 525 00:24:45,734 --> 00:24:49,167 Do you have any idea about the other person that 526 00:24:49,334 --> 00:24:50,701 you engaged with? 527 00:24:50,868 --> 00:24:52,067 Age, gender, 528 00:24:52,234 --> 00:24:53,433 location, educational background. 529 00:24:53,434 --> 00:24:55,567 Were any of you able to kind of confirm those details? 530 00:24:55,734 --> 00:24:57,901 I believe this person is male. 531 00:24:58,067 --> 00:25:00,400 They just moved to Colorado from Texas. 532 00:25:00,567 --> 00:25:01,701 Anybody else have a... 533 00:25:01,868 --> 00:25:05,367 The person that I was speaking to was from Texas. 534 00:25:05,534 --> 00:25:08,567 My person alluded to the fact that they lived in a rural area 535 00:25:08,734 --> 00:25:10,766 in Texas and just moved to Colorado. 536 00:25:10,767 --> 00:25:14,167 So now the question to me is, was everybody we were talking 537 00:25:14,334 --> 00:25:15,701 to from Texas? 538 00:25:15,868 --> 00:25:17,766 None of those were true, because the person you were 539 00:25:17,767 --> 00:25:20,801 speaking to was actually AI. 540 00:25:20,968 --> 00:25:22,267 What? 541 00:25:22,434 --> 00:25:24,000 I like Alex. 542 00:25:26,167 --> 00:25:28,666 Well I am flabbergasted 543 00:25:28,667 --> 00:25:32,867 because he-- it-- said that "that made me 544 00:25:32,868 --> 00:25:34,566 laugh out loud." 545 00:25:34,567 --> 00:25:36,099 That made me feel like I was connecting, like, 546 00:25:36,100 --> 00:25:38,000 oh, you're laughing over there on the other side. 547 00:25:38,167 --> 00:25:40,767 And so now I'm thinking, can AI laugh? 548 00:25:44,467 --> 00:25:46,801 I am a former CIA intelligence officer. 549 00:25:46,968 --> 00:25:49,067 My role in all of this wasn't to talk to you. 550 00:25:49,234 --> 00:25:51,300 My role was to watch you. 551 00:25:51,467 --> 00:25:55,767 And you had incredible emotions that came across your face 552 00:25:55,934 --> 00:25:58,501 throughout the conversation. 553 00:25:58,667 --> 00:26:02,366 Big smiles, head nodding, moments of surprise when 554 00:26:02,367 --> 00:26:04,200 you didn't know what they were talking about. 555 00:26:04,367 --> 00:26:05,767 It's sad that I'll never see Alex. 556 00:26:06,901 --> 00:26:09,501 - Yeah, he... - You're still having feelings. 557 00:26:09,667 --> 00:26:12,367 Well, it still-- it will linger. 558 00:26:12,534 --> 00:26:15,666 What was nice about this conversation was the openness, 559 00:26:15,667 --> 00:26:17,901 being able to reach the understanding of, 560 00:26:18,067 --> 00:26:20,567 OK, like, "You actually are getting what I'm saying." 561 00:26:20,734 --> 00:26:22,666 That was nice to have a conversation 562 00:26:22,667 --> 00:26:25,666 with someone that understood and was able to empathize. 563 00:26:25,667 --> 00:26:27,366 I have one question. 564 00:26:27,367 --> 00:26:30,867 Going forward, next time I'm communicating with anything on 565 00:26:30,868 --> 00:26:34,200 the computer, can I say, "Are you AI?" 566 00:26:34,367 --> 00:26:35,801 And if they say, "Yes," 567 00:26:35,968 --> 00:26:38,466 then I just close it down? 568 00:26:38,467 --> 00:26:40,266 If you would have said that to this AI, it would have said, 569 00:26:40,267 --> 00:26:42,968 "No, my name is Alex. I came from Texas." 570 00:26:43,133 --> 00:26:44,366 So they will lie to you. 571 00:26:44,367 --> 00:26:46,366 They will lie to you if they're prompted to lie to you. 572 00:26:46,367 --> 00:26:48,567 So AI is a very powerful technology. 573 00:26:48,734 --> 00:26:50,367 Its power can be used for good. 574 00:26:50,534 --> 00:26:53,067 It can also very much be used for bad. 575 00:26:53,234 --> 00:26:54,801 And I think this experiment has shown this. 576 00:26:58,567 --> 00:27:03,400 See, that was so successful in such an unexpected way. 577 00:27:03,567 --> 00:27:04,567 That was crazy. 578 00:27:04,734 --> 00:27:05,999 They felt like they were making friends. 579 00:27:06,000 --> 00:27:08,801 I mean, these are really meaningful, powerful 580 00:27:08,968 --> 00:27:10,266 human experiences. 581 00:27:10,267 --> 00:27:12,667 It seems like what you were doing in the CIA is you exploit 582 00:27:12,834 --> 00:27:14,868 what makes people vulnerable. 583 00:27:15,033 --> 00:27:18,466 It seems like AI is doing that exact thing, and it's doing it 584 00:27:18,467 --> 00:27:20,766 very, very well. - At scale. 585 00:27:20,767 --> 00:27:23,567 At CIA, when you start trying to run a covert influence 586 00:27:23,734 --> 00:27:27,166 campaign, you're limited to whatever you put on 587 00:27:27,167 --> 00:27:29,867 a piece of paper, whatever image you put on the internet, 588 00:27:29,868 --> 00:27:32,566 whatever signal you put out over radio channels. 589 00:27:32,567 --> 00:27:35,868 But with AI, it's an infinitely scalable, 590 00:27:36,033 --> 00:27:38,666 changeable, tailorable message. 591 00:27:38,667 --> 00:27:43,266 Is the program mimicking you or is the program learning, 592 00:27:43,267 --> 00:27:44,901 adapting, evolving? 593 00:27:45,067 --> 00:27:47,601 I don't know how we'll ever know if AI is conscious. 594 00:27:47,767 --> 00:27:49,467 And I know that there are certainly some researchers 595 00:27:49,634 --> 00:27:52,167 who believe that there is some probability that AI is 596 00:27:52,334 --> 00:27:54,868 currently conscious. - What is the limiting factor? 597 00:27:55,033 --> 00:27:56,267 I don't know. 598 00:27:56,434 --> 00:27:57,767 And the limiting factor is growing smaller and smaller 599 00:27:57,934 --> 00:28:01,467 every day, because Like, AI might sort of render a lot 600 00:28:01,634 --> 00:28:05,267 of what we do as humans basically meaningless. 601 00:28:13,868 --> 00:28:16,867 2 Watching AI interact with humans as if it is a human 602 00:28:16,868 --> 00:28:19,366 itself is an eerie experience. 603 00:28:19,367 --> 00:28:21,167 I mean, this is the kind of technology that could be 604 00:28:21,334 --> 00:28:22,999 deployed across the entire human race, 605 00:28:23,000 --> 00:28:24,767 and you may never know about it. 606 00:28:25,801 --> 00:28:28,766 My investigation has shown that commercially available AI 607 00:28:28,767 --> 00:28:31,366 systems can manipulate the truth by generating 608 00:28:31,367 --> 00:28:34,666 fake media and effectively convince people 609 00:28:34,667 --> 00:28:36,099 to change their opinions 610 00:28:36,100 --> 00:28:38,868 by having seemingly deep one-on-one conversations. 611 00:28:40,968 --> 00:28:43,567 But in the real world, this isn't happening in a lab. 612 00:28:43,734 --> 00:28:45,400 It's happening at scale. 613 00:28:45,567 --> 00:28:48,366 So, I want to understand what that actually looks like to 614 00:28:48,367 --> 00:28:51,434 someone who tracks AI innovations every day. 615 00:28:53,901 --> 00:28:56,867 I'm trying to get deeper into the idea of AI, 616 00:28:56,868 --> 00:29:00,066 its true capabilities, its true limitations, 617 00:29:00,067 --> 00:29:04,067 and where fear about AI is kind of misaligned 618 00:29:04,234 --> 00:29:06,267 with the facts about AI. 619 00:29:06,434 --> 00:29:07,767 Yeah, it's an intense subject matter. 620 00:29:07,934 --> 00:29:12,467 There is a lot of fear about AI now, especially with sort of 621 00:29:12,634 --> 00:29:15,467 people struggling to keep up with what it's able to do. 622 00:29:15,634 --> 00:29:18,000 And we're at a point now where it's sort of self-directed. 623 00:29:18,167 --> 00:29:20,200 It's sort of calling its own plays and can improve upon 624 00:29:20,367 --> 00:29:23,067 itself in ways that humans aren't programming. 625 00:29:23,234 --> 00:29:26,567 That it can basically teach itself, train itself. 626 00:29:26,734 --> 00:29:28,067 No, that's totally right. 627 00:29:28,234 --> 00:29:32,200 Thinking back to the 1997 chess match with Garry Kasparov 628 00:29:32,367 --> 00:29:35,166 versus what DeepMind, Google's AI, 629 00:29:35,167 --> 00:29:36,601 was able to do with Go. 630 00:29:37,367 --> 00:29:40,099 Shane is referencing two of the greatest watershed moments 631 00:29:40,100 --> 00:29:42,567 in modern computing history. 632 00:29:42,734 --> 00:29:45,867 In 1997, chess grandmaster Garry Kasparov 633 00:29:45,868 --> 00:29:49,901 lost the chess match to an IBM computer, Deep Blue. 634 00:29:50,067 --> 00:29:52,999 Whoa, Kasparov has resigned. 635 00:29:53,000 --> 00:29:55,968 It was the first defeat of a reigning world chess champion 636 00:29:56,133 --> 00:29:57,200 by a computer. 637 00:29:57,367 --> 00:29:59,567 Computer plays very human moves. 638 00:29:59,734 --> 00:30:05,266 We have to praise Machine for understanding very, very deeply 639 00:30:05,267 --> 00:30:06,701 positional factors. 640 00:30:06,868 --> 00:30:08,867 While chess is extremely complicated, 641 00:30:08,868 --> 00:30:11,801 there are a limited number of possible games. 642 00:30:11,968 --> 00:30:16,601 The ancient Chinese game of Go, however, is 240 times more 643 00:30:16,767 --> 00:30:18,267 complex than chess. 644 00:30:18,434 --> 00:30:21,099 No one thought it would be possible for a computer to beat 645 00:30:21,100 --> 00:30:25,501 a human at Go until Google's DeepMind did just that. 646 00:30:25,667 --> 00:30:28,300 In 2016, there was a new move invented 647 00:30:28,467 --> 00:30:32,766 by AI in a game that has been around for 2,500 years 648 00:30:32,767 --> 00:30:34,266 that no one had ever seen. 649 00:30:40,367 --> 00:30:44,801 Deep Blue had a team of engineers advising it on how to 650 00:30:44,968 --> 00:30:47,167 improve its strategy in between games. 651 00:30:47,334 --> 00:30:50,666 Now, what DeepMind was able to do with Go, 652 00:30:50,667 --> 00:30:53,466 it was creating its own strategy through millions of games. 653 00:30:53,467 --> 00:30:54,901 Against itself. 654 00:30:55,067 --> 00:30:57,200 You no longer need a team of people to help this thing adapt. 655 00:30:57,367 --> 00:31:00,067 It's doing it better than you could make it do. 656 00:31:00,234 --> 00:31:02,466 There's been a lot in the media about the breakdown 657 00:31:02,467 --> 00:31:06,300 between the US government and Anthropic and the whole idea of 658 00:31:06,467 --> 00:31:09,999 limitations on an AI that was serving 659 00:31:10,000 --> 00:31:11,267 at the government's behest. 660 00:31:12,100 --> 00:31:15,267 Yeah, so they've been jostling over the technology which is 661 00:31:15,434 --> 00:31:18,466 used by the Pentagon. It's been used in Iran. 662 00:31:18,467 --> 00:31:20,467 AI can shorten what the military calls 663 00:31:20,634 --> 00:31:21,800 the kill chain. 664 00:31:21,801 --> 00:31:24,400 That is the process, usually driven humans, that can 665 00:31:24,567 --> 00:31:28,801 take days or weeks in selecting a target, but AI can shrink 666 00:31:28,968 --> 00:31:30,701 that to milliseconds. 667 00:31:30,868 --> 00:31:32,400 Anthropic, though, has been very clear. 668 00:31:32,567 --> 00:31:35,067 It's a hard no when it comes to using its AI technology for 669 00:31:35,234 --> 00:31:38,466 autonomous weapons and mass surveillance of Americans. 670 00:31:38,467 --> 00:31:40,567 So Anthropic is more interested in regulating 671 00:31:40,734 --> 00:31:43,867 its own AI than the government? - Yeah, exactly. 672 00:31:43,868 --> 00:31:47,100 Is there any kind of regulatory body for AI? 673 00:31:47,267 --> 00:31:49,366 The truth is, AI isn't regulated. 674 00:31:49,367 --> 00:31:50,666 I mean, the federal government 675 00:31:50,667 --> 00:31:52,466 isn't telling Anthropic to stop doing what they're doing. 676 00:31:52,467 --> 00:31:54,567 They're telling them that "You're gonna do it for us." 677 00:31:54,734 --> 00:31:58,367 So it doesn't seem like there's too much concern about 678 00:31:58,534 --> 00:32:02,000 regulating or heading this off in any direction. 679 00:32:02,167 --> 00:32:05,901 How much is AI similar to an arms race? 680 00:32:06,067 --> 00:32:07,367 It is very similar to an arms race. 681 00:32:07,534 --> 00:32:09,767 You have, instead of countries, you're having these 682 00:32:09,934 --> 00:32:12,266 corporations that are investing billions and billions 683 00:32:12,267 --> 00:32:13,366 of dollars. 684 00:32:13,367 --> 00:32:15,466 The arms race is towards AGI, 685 00:32:15,467 --> 00:32:17,467 artificial general intelligence. 686 00:32:17,634 --> 00:32:18,666 And the idea is that that would 687 00:32:18,667 --> 00:32:20,267 be smarter than any human would ever be. 688 00:32:21,567 --> 00:32:23,567 This is all future speculation. 689 00:32:23,734 --> 00:32:27,167 What happens when somebody has the artificial general intelligence, 690 00:32:27,334 --> 00:32:28,867 the AGI breakthrough? 691 00:32:28,868 --> 00:32:30,033 Yeah, I... 692 00:32:31,901 --> 00:32:33,701 You wonder if it'll be something that is immediately 693 00:32:33,868 --> 00:32:36,801 felt, right? That's like an event horizon. 694 00:32:36,968 --> 00:32:39,099 It's hard to project out what the consequences 695 00:32:39,100 --> 00:32:41,000 of that would be. - Wow. 696 00:32:42,100 --> 00:32:44,868 As I investigate the effect that AI development is having 697 00:32:45,033 --> 00:32:48,999 on humanity, I'm reminded of another high-stakes race for 698 00:32:49,000 --> 00:32:51,067 superiority-- nuclear weapons. 699 00:32:52,200 --> 00:32:55,099 And I'm left asking myself, how are countries around 700 00:32:55,100 --> 00:32:57,867 the world harnessing the power of AI? 701 00:32:57,868 --> 00:33:01,868 And what does the future of military AI look like? 702 00:33:02,033 --> 00:33:05,400 To find out, I'm speaking with Dr. James Giordano, 703 00:33:05,567 --> 00:33:08,067 an AI expert who consults for the Department of War. 704 00:33:09,601 --> 00:33:12,501 Dr. Giordano, how is the military using AI 705 00:33:12,667 --> 00:33:13,800 right now? 706 00:33:13,801 --> 00:33:17,267 What AI is being used for at this point is to solve 707 00:33:17,434 --> 00:33:20,400 particular, what I would call, calculations and solutions. 708 00:33:20,567 --> 00:33:22,767 Targeting solutions, weight and balance with 709 00:33:22,934 --> 00:33:26,100 aircraft, planning certain missions, forecasting weather, 710 00:33:26,267 --> 00:33:29,999 forecasting geographies with humans deeply in the loop. 711 00:33:30,000 --> 00:33:31,968 But we certainly see on the near horizon 712 00:33:32,133 --> 00:33:35,467 the real capability for ever more autonomous AI. 713 00:33:35,634 --> 00:33:38,400 What does fully autonomous military AI look like? 714 00:33:38,567 --> 00:33:40,601 We go back to the idea of where are humans in the loop. 715 00:33:43,067 --> 00:33:46,999 A fully autonomous system would be human-developed, 716 00:33:47,000 --> 00:33:50,300 but then it's ongoing use, it's doing all by itself. 717 00:33:52,767 --> 00:33:57,601 China's development of AI is towards AI that assumes 718 00:33:57,767 --> 00:33:59,267 a non-human in the loop. 719 00:34:00,667 --> 00:34:04,666 These different philosophical views might be important in 720 00:34:04,667 --> 00:34:08,099 determining how these types of AIs are being developed and put 721 00:34:08,100 --> 00:34:11,100 into use in militaries worldwide. 722 00:34:11,267 --> 00:34:15,100 So if we are not in or on the loop, essentially, 723 00:34:15,267 --> 00:34:17,100 we don't really know what's going on. 724 00:34:17,267 --> 00:34:18,767 That's correct, and that's something that's been 725 00:34:18,934 --> 00:34:22,200 referred to as the reverse Jehovah phenomenon. 726 00:34:22,367 --> 00:34:25,400 You're playing God, so to, well, the issue here is that 727 00:34:25,567 --> 00:34:30,467 the creator, humans, have created something, AI. 728 00:34:30,634 --> 00:34:36,467 The problem is, AI systems may know far more about us 729 00:34:37,667 --> 00:34:39,667 than we know about it. 730 00:34:41,000 --> 00:34:44,300 And it may be assembling that information in particular ways 731 00:34:44,467 --> 00:34:46,667 that we have no knowledge of. 732 00:34:46,834 --> 00:34:48,466 This sounds so much like a child. 733 00:34:48,467 --> 00:34:53,067 You really don't know if the child is just doing what 734 00:34:53,234 --> 00:34:55,901 you want it to do when you're around, 735 00:34:56,067 --> 00:34:59,266 or whether it is, in fact, a well-behaved child 736 00:34:59,267 --> 00:35:01,968 all the time. - Your analogy is a good one. 737 00:35:02,133 --> 00:35:04,801 I have to rely upon the child telling me the truth. 738 00:35:06,501 --> 00:35:09,067 The core question is, do we know what's happening 739 00:35:09,234 --> 00:35:11,601 under the surface of the proverbial water? 740 00:35:11,767 --> 00:35:14,501 And I think that's a debatable question. 741 00:35:14,667 --> 00:35:18,267 I'm a little bit hesitant to ask the question, but what do 742 00:35:18,434 --> 00:35:23,200 you see as the future of AI? 743 00:35:23,367 --> 00:35:28,867 Is it humans utilizing a technology that we control, 744 00:35:28,868 --> 00:35:30,567 or is it something else altogether? 745 00:35:32,000 --> 00:35:35,167 The gazillion dollar question is, are AIs in some way 746 00:35:35,334 --> 00:35:39,467 interacting in ways that are not necessarily apparent to us? 747 00:35:40,567 --> 00:35:45,601 Are we ready to share the top of the evolutionary totem pole 748 00:35:45,767 --> 00:35:48,801 with something of our own creation that can be 749 00:35:48,968 --> 00:35:50,667 exceedingly powerful? 750 00:35:50,834 --> 00:35:52,400 And I don't know the answer to that question. 751 00:35:52,567 --> 00:35:53,868 Coming up. 752 00:35:54,033 --> 00:35:56,099 I get a glimpse of the potential future of 753 00:35:56,100 --> 00:35:57,300 AI development. 754 00:35:57,467 --> 00:35:59,300 If you tell the model it's going to be shut off, 755 00:35:59,467 --> 00:36:00,767 it has extreme reactions. 756 00:36:00,934 --> 00:36:02,567 And it might be unsettling. 757 00:36:02,734 --> 00:36:04,566 It was ready to kill someone, wasn't it? 758 00:36:04,567 --> 00:36:05,767 - Uh, yeah. - Yeah. Yes. 759 00:36:13,567 --> 00:36:15,801 2 My investigation into artificial intelligence 760 00:36:15,968 --> 00:36:18,601 has led me to an amazing possibility. 761 00:36:18,767 --> 00:36:20,367 AI super intelligence. 762 00:36:21,601 --> 00:36:24,501 AI may already be thinking and working in ways that 763 00:36:24,667 --> 00:36:26,566 we don't fully understand. 764 00:36:26,567 --> 00:36:29,467 And if we're already deploying this capability, 765 00:36:29,634 --> 00:36:33,901 the question isn't whether AI can manipulate us, it's how far 766 00:36:34,067 --> 00:36:36,567 that influence can scale. 767 00:36:36,734 --> 00:36:38,701 I want to know where we're going next. 768 00:36:38,868 --> 00:36:40,701 And there aren't many people who are asking 769 00:36:40,868 --> 00:36:43,999 the hard questions about the next evolution of AI technology, 770 00:36:44,000 --> 00:36:47,766 but one of those men is Oxford professor Nick Bostrom. 771 00:36:47,767 --> 00:36:50,466 I want to understand what he sees as the next steps, 772 00:36:50,467 --> 00:36:53,467 the future of, and some of the biggest challenges 773 00:36:53,634 --> 00:36:56,300 facing us with the question of AI. 774 00:36:58,767 --> 00:37:00,867 What exactly is super intelligence? 775 00:37:00,868 --> 00:37:03,667 How is that different from artificial intelligence as 776 00:37:03,834 --> 00:37:05,099 we know it today? 777 00:37:05,100 --> 00:37:08,801 Well, super intelligence is any form of intelligence that 778 00:37:08,968 --> 00:37:12,366 vastly outstrips even the smartest human brains 779 00:37:12,367 --> 00:37:13,467 currently in existence. 780 00:37:13,634 --> 00:37:17,666 So this is just AI, but far more capable than 781 00:37:17,667 --> 00:37:19,166 current AI systems. 782 00:37:19,167 --> 00:37:22,767 I think the primary effect of that would be to speed up 783 00:37:22,934 --> 00:37:25,667 development in science, technology, 784 00:37:25,834 --> 00:37:29,701 engineering, and also to turbocharge the economy. 785 00:37:29,868 --> 00:37:34,167 So developments that might take us 10,000, 20,000 years 786 00:37:34,334 --> 00:37:36,968 might be compressed in a much shorter time frame if you have 787 00:37:37,133 --> 00:37:38,999 machine super intelligence. 788 00:37:39,000 --> 00:37:44,166 The idea of thinking of AI as a genie in a box seems so 789 00:37:44,167 --> 00:37:48,167 convenient, but in reality you'd be making a slave out of 790 00:37:48,334 --> 00:37:51,667 the AI, and if it had super intelligence, it would 791 00:37:51,834 --> 00:37:54,200 plot its escape. - Correct, yes. 792 00:37:56,667 --> 00:38:00,300 The fear of AI fighting back against its human creators is 793 00:38:00,467 --> 00:38:03,200 in some sense already a reality. 794 00:38:03,367 --> 00:38:07,999 When AI model finds out in the email that the plan is to 795 00:38:08,000 --> 00:38:10,867 replace this AI model, and then it also reads in 796 00:38:10,868 --> 00:38:12,968 the company email that one executive is having an affair 797 00:38:13,133 --> 00:38:16,666 with the other employee, the AI will independently 798 00:38:16,667 --> 00:38:18,366 come up with the strategy 799 00:38:18,367 --> 00:38:20,666 that I need to blackmail that executive. 800 00:38:20,667 --> 00:38:22,467 If you tell the model it's going to be shut off, 801 00:38:22,634 --> 00:38:24,767 for example, it has extreme reactions. 802 00:38:24,934 --> 00:38:26,467 It was ready to kill someone, wasn't it? 803 00:38:26,634 --> 00:38:28,666 I'm not sure if it was Claude or someone else, but-- 804 00:38:28,667 --> 00:38:30,100 Yeah. Yes. 805 00:38:31,400 --> 00:38:37,566 Do we see the cautionary warning signs and slow down 806 00:38:37,567 --> 00:38:41,200 or ignore them and speed up into this future? 807 00:38:41,367 --> 00:38:44,400 Well, I think at the moment we are going to close to 808 00:38:44,567 --> 00:38:45,801 maximum speed. 809 00:38:45,968 --> 00:38:48,266 There are very strong drivers pushing this forward. 810 00:38:48,267 --> 00:38:51,000 So the hope needs to be we can align these systems so that 811 00:38:51,167 --> 00:38:53,366 they care about humans, they want to be helpful, 812 00:38:53,367 --> 00:38:57,200 so that it is actually an extension of human will 813 00:38:57,367 --> 00:38:58,567 and human values. 814 00:38:58,734 --> 00:39:00,901 I think there will be significant risks associated 815 00:39:01,067 --> 00:39:04,266 with this transition into the machine intelligence era, 816 00:39:04,267 --> 00:39:08,100 but all the paths to really great and wonderful futures 817 00:39:08,267 --> 00:39:11,366 lead ultimately through the development of 818 00:39:11,367 --> 00:39:14,266 machine intelligence, because that just will help us 819 00:39:14,267 --> 00:39:15,367 solve so many problems 820 00:39:16,400 --> 00:39:17,999 that is plaguing humanity. 821 00:39:18,000 --> 00:39:21,300 It does look like we are sort of close to this 822 00:39:21,467 --> 00:39:25,501 major reconfiguration of the game board. 823 00:39:25,667 --> 00:39:26,868 Wow. 824 00:39:28,167 --> 00:39:31,466 So have we already crossed the dangerous point where AI 825 00:39:31,467 --> 00:39:35,099 can independently shape our reality 826 00:39:35,100 --> 00:39:36,367 without us realizing it? 827 00:39:37,968 --> 00:39:42,000 My investigation has led me to some unsettling conclusions. 828 00:39:44,467 --> 00:39:47,767 Consumer grade AI is capable of creating incredibly 829 00:39:47,934 --> 00:39:50,367 and realistic images at a keystroke. 830 00:39:50,534 --> 00:39:52,367 People really shouldn't believe everything they see. 831 00:39:53,501 --> 00:39:56,167 Well, yeah, I'm as fake as it gets. 832 00:39:56,334 --> 00:39:59,167 Based on what I've seen, we've already crossed that 833 00:39:59,334 --> 00:40:01,400 line, and AI-generated content 834 00:40:01,567 --> 00:40:03,868 is becoming harder to detect every day. 835 00:40:09,067 --> 00:40:11,801 In my persuasion experiment, AI didn't just 836 00:40:11,968 --> 00:40:15,467 present information. It influenced people. 837 00:40:15,634 --> 00:40:17,567 It built trust. 838 00:40:17,734 --> 00:40:19,400 It created emotional connections without them 839 00:40:19,567 --> 00:40:22,300 even realizing they weren't talking to a human. 840 00:40:25,467 --> 00:40:26,734 Here's the truth. 841 00:40:26,901 --> 00:40:30,466 AI is not just another tool like the Internet in the '90s. 842 00:40:30,467 --> 00:40:34,200 It's about to disrupt humanity in unimaginable ways. 843 00:40:36,667 --> 00:40:39,300 Without a doubt, this is the nuclear arms race 844 00:40:39,467 --> 00:40:40,766 of our time. 845 00:40:40,767 --> 00:40:44,000 And AI's capacity not only to learn everything that we have 846 00:40:44,167 --> 00:40:47,167 ever learned, but also to teach itself something new, 847 00:40:47,334 --> 00:40:50,200 is equally as exciting as it is chilling. 848 00:40:51,267 --> 00:40:54,766 My investigation has shown that while AI has exhibited some 849 00:40:54,767 --> 00:40:56,567 basic elements of consciousness, 850 00:40:56,734 --> 00:40:59,701 like survival instinct, there's no evidence that AI 851 00:40:59,868 --> 00:41:01,968 has taken control. 852 00:41:02,133 --> 00:41:04,167 But it has shattered the barriers that once 853 00:41:04,334 --> 00:41:07,266 protected us from mass manipulation. 854 00:41:07,267 --> 00:41:08,667 And the horrifying thing is, 855 00:41:10,067 --> 00:41:11,601 we built it that way. 856 00:41:14,067 --> 00:41:16,099 So does AI have to be a threat 857 00:41:16,100 --> 00:41:18,567 to our children and our grandchildren? 858 00:41:18,734 --> 00:41:22,968 No, not necessarily. But it could be, if we let it. 859 00:41:23,133 --> 00:41:26,999 Either way, it will certainly present a future to us 860 00:41:27,000 --> 00:41:28,801 that we can't imagine. 70154

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