1 00:00:00,480 --> 00:00:02,717 Minister of Communications and 2 00:00:02,800 --> 00:00:07,757 Information Technology of the Kingdom of Saudi Arabia. Your Excellency, thank you 3 00:00:07,840 --> 00:00:09,677 so much. Good [music] to see you. Also 4 00:00:09,760 --> 00:00:13,017 with us this morning 5 00:00:13,100 --> 00:00:16,237 [music] are two incredible visionaries. 6 00:00:16,320 --> 00:00:18,157 Please join me in welcoming to the stage 7 00:00:18,240 --> 00:00:20,877 Elon Musk, the CEO of Tesla, founder of 8 00:00:20,960 --> 00:00:23,757 SpaceX, founder of XAI, and Jensen 9 00:00:23,840 --> 00:00:26,777 Huang, founder and CEO of Nvidia. 10 00:00:26,860 --> 00:00:28,880 [music] 11 00:00:31,440 --> 00:00:33,460 >> [music] 12 00:00:35,120 --> 00:00:37,917 >> Please, please have a seat. Now, I'm 13 00:00:38,000 --> 00:00:39,597 sure we can do a bigger round of 14 00:00:39,680 --> 00:00:42,077 applause for one of the greatest two 15 00:00:42,160 --> 00:00:46,397 leaders of our history. Let's go ahead. 16 00:00:46,480 --> 00:00:50,237 So, we're talking about I lost count, 17 00:00:50,320 --> 00:00:52,477 you know, 7 to8 trillion dollars worth 18 00:00:52,560 --> 00:00:56,717 of market cap comp. I lost count. But 19 00:00:56,800 --> 00:00:59,677 right now we're here to celebrate a 20 00:00:59,760 --> 00:01:03,837 historic moment. A moment that yesterday 21 00:01:03,920 --> 00:01:06,077 during the dinner and thank you for for 22 00:01:06,160 --> 00:01:09,757 joining us under the patronage of the 23 00:01:09,840 --> 00:01:13,757 honorable president and his royal highness the crown prince Musidi where 24 00:01:13,840 --> 00:01:15,437 we had the pleasure to hear it 25 00:01:15,520 --> 00:01:19,437 firsthand. This is the greatest alliance 26 00:01:19,520 --> 00:01:22,397 between the Kingdom of Saudi Arabia and 27 00:01:22,480 --> 00:01:25,117 the United States where we have joined 28 00:01:25,200 --> 00:01:27,757 hands and you have helped us build our 29 00:01:27,840 --> 00:01:30,477 energy based economy fueling and 30 00:01:30,560 --> 00:01:33,277 energizing the industrial age and now 31 00:01:33,360 --> 00:01:35,437 fast forward going to the intelligence 32 00:01:35,520 --> 00:01:39,597 age where we can fuel AI factories 33 00:01:39,680 --> 00:01:44,157 robotics EVs and all of the rest. Speaking of 34 00:01:44,240 --> 00:01:45,997 that, let's start with you, Elon, if you 35 00:01:46,080 --> 00:01:47,677 don't mind, Jensen, and feel free to 36 00:01:47,760 --> 00:01:51,197 chive in. You have a big fascination of 37 00:01:51,280 --> 00:01:53,917 something all of us have admired, first 38 00:01:54,000 --> 00:01:56,077 order thinking, which Jensen sometimes 39 00:01:56,160 --> 00:01:59,277 calls first order scaling, which is an 40 00:01:59,360 --> 00:02:02,557 opportunity for how you have dropped the 41 00:02:02,640 --> 00:02:05,037 cost of batteries from a,000 for 42 00:02:05,120 --> 00:02:09,037 kilowatt hour to subund bucks. And right 43 00:02:09,120 --> 00:02:10,637 now you're doing the same thing with 44 00:02:10,720 --> 00:02:15,037 robotics for actuators with servo rotors 45 00:02:15,120 --> 00:02:18,397 and motors. So I want to hear from you. 46 00:02:18,480 --> 00:02:22,957 How do you manage to always disrupt every single industry with that 47 00:02:23,040 --> 00:02:24,797 thinking? 48 00:02:24,880 --> 00:02:27,677 >> Well, it's mostly not disruption, it's 49 00:02:27,760 --> 00:02:32,397 uh creation. So with uh say SpaceX with 50 00:02:32,480 --> 00:02:35,517 the reusable rockets, uh there really 51 00:02:35,600 --> 00:02:39,197 weren't any reusable rockets. Um, 52 00:02:39,280 --> 00:02:44,077 but the essence of getting of revolutionizing space travel is 53 00:02:44,160 --> 00:02:45,917 reusability. If you throw the rocket 54 00:02:46,000 --> 00:02:48,397 away every time, the cost of access to 55 00:02:48,480 --> 00:02:51,757 space is extremely high. Um, with 56 00:02:51,840 --> 00:02:56,237 respect to electric cars, there there weren't any electric cars when we 57 00:02:56,320 --> 00:03:01,117 started making them really. You couldn't buy any to the best of my knowledge. Um, 58 00:03:01,200 --> 00:03:03,037 so with Tesla, we wanted to make 59 00:03:03,120 --> 00:03:05,197 electric cars compelling um, and 60 00:03:05,280 --> 00:03:08,957 affordable. That was the goal. Um the uh 61 00:03:09,040 --> 00:03:13,197 you know with respect to humanoid robotics, there are no useful humanoid 62 00:03:13,280 --> 00:03:17,277 robotics robots at this point. Um there are sort of gimmicks, but there are 63 00:03:17,360 --> 00:03:22,077 there are no actually useful humanoid robots. Um and I think Tesla's going to 64 00:03:22,160 --> 00:03:26,157 make the first actually useful humanoid robots. Um and this will be quite a 65 00:03:26,240 --> 00:03:31,197 revolution and I think something that will that everyone will want. Uh because 66 00:03:31,280 --> 00:03:36,477 I always think of like who who wouldn't want their own personal C3PO R2-D2. 67 00:03:36,560 --> 00:03:40,077 >> Oh yeah, >> of course. Everyone would want one, 68 00:03:40,160 --> 00:03:44,957 right? And and then there would be many in industry uh providing products and 69 00:03:45,040 --> 00:03:46,957 services. This is why I say that 70 00:03:47,040 --> 00:03:51,997 humanoid robots will be the biggest industry or the biggest product ever. Um 71 00:03:52,080 --> 00:03:56,877 bigger than cell phones or anything else because everyone's going to want one and 72 00:03:56,960 --> 00:03:58,557 uh or maybe more more than one. And 73 00:03:58,640 --> 00:04:01,997 there will be many in industry. Um, 74 00:04:02,080 --> 00:04:05,677 >> I just want R2-D2 in C3PO's body. 75 00:04:05,760 --> 00:04:09,597 >> Yeah, >> there you go. >> Well, I mean, a humanoid robot would be 76 00:04:09,680 --> 00:04:11,757 better than R2-D2 and C3vo combined. 77 00:04:11,840 --> 00:04:13,437 >> Yeah. >> Times 10. >> Yeah. 78 00:04:13,520 --> 00:04:17,037 >> So, the it and and you know, people 79 00:04:17,120 --> 00:04:20,157 often talk about uh sort of eliminating 80 00:04:20,240 --> 00:04:24,157 poverty and that kind of thing, but really the there's how long have they 81 00:04:24,240 --> 00:04:28,477 been talking about that? Um there's lots of talk uh you know there's lots of 82 00:04:28,560 --> 00:04:30,717 NOS's sort of trying to do these things 83 00:04:30,800 --> 00:04:33,757 but but really not succeeding um and and 84 00:04:33,840 --> 00:04:35,997 and you know the evidence speaks for 85 00:04:36,080 --> 00:04:39,837 itself uh but but but AI and humanoid 86 00:04:39,920 --> 00:04:44,397 robots will actually eliminate poverty and Tesla won't be the only one that 87 00:04:44,480 --> 00:04:47,437 makes them. I think Tesla will pioneer this, but there will be many other 88 00:04:47,520 --> 00:04:52,317 companies that make humanoid robots. But there there is only basically one way to 89 00:04:52,400 --> 00:04:56,157 uh make everyone wealthy, and that is AI and robotics. 90 00:04:56,240 --> 00:04:58,397 >> And we can't talk about robotics without 91 00:04:58,480 --> 00:05:01,357 AI factories. And yesterday was such a 92 00:05:01,440 --> 00:05:04,317 historic day for the two nations but 93 00:05:04,400 --> 00:05:07,677 also for all of us where we celebrate 94 00:05:07,760 --> 00:05:10,797 the AI strategic partnership with the US 95 00:05:10,880 --> 00:05:13,437 s signed witnessed by the honorable 96 00:05:13,520 --> 00:05:15,917 president and his royal highness about 97 00:05:16,000 --> 00:05:19,837 how we are committing our capital energy 98 00:05:19,920 --> 00:05:24,797 land to energize the AI US ecosystem to 99 00:05:24,880 --> 00:05:26,797 be able to build inference node training 100 00:05:26,880 --> 00:05:29,837 nodes and to be the most AI enabled 101 00:05:29,920 --> 00:05:34,237 nation with that announcement. Tell me what's what's next in AI factories. 102 00:05:34,320 --> 00:05:36,957 Jensen, >> there there's a there's a beautiful 103 00:05:37,040 --> 00:05:39,517 story about how Saudi Arabia's building 104 00:05:39,600 --> 00:05:43,997 AI refineries now building AI facil refineries to AI factories. 105 00:05:44,080 --> 00:05:47,837 >> I love that. >> I you know I've said that that AI is an 106 00:05:47,920 --> 00:05:51,117 infrastructure and the reason for that of course we understand AI from the 107 00:05:51,200 --> 00:05:55,597 perspective of the technology and how it's revolutionizing every industry. 108 00:05:55,680 --> 00:05:57,597 Digital intelligence of course has 109 00:05:57,680 --> 00:06:01,197 applications into every every field and 110 00:06:01,280 --> 00:06:02,797 so it's going to be used by every 111 00:06:02,880 --> 00:06:05,357 company, every industry, every country. 112 00:06:05,440 --> 00:06:08,637 In that way it's foundational and 113 00:06:08,720 --> 00:06:10,397 therefore it's part of infrastructure. 114 00:06:10,480 --> 00:06:14,477 What is new about AI from a computer 115 00:06:14,560 --> 00:06:17,757 science perspective is that the way 116 00:06:17,840 --> 00:06:22,157 computing was done in the past was largely retrievalbased computing. 117 00:06:22,240 --> 00:06:24,717 Somebody typed in a story or somebody 118 00:06:24,800 --> 00:06:27,757 created a a piece of art or came came up 119 00:06:27,840 --> 00:06:30,637 with four versions of a digital ad or 120 00:06:30,720 --> 00:06:34,477 it's all pre-built by somebody which is 121 00:06:34,560 --> 00:06:37,197 then using a system to retrieve the 122 00:06:37,280 --> 00:06:38,797 appropriate version for you. It's a 123 00:06:38,880 --> 00:06:42,397 retrievalbased computing model. Hadoop 124 00:06:42,480 --> 00:06:47,277 and many of the the the frameworks and operating systems of the past all 125 00:06:47,360 --> 00:06:51,997 designed to retrieve the appropriate information for you. But today software 126 00:06:52,080 --> 00:06:54,237 is going to be generated in real time. 127 00:06:54,320 --> 00:06:58,397 It's generative based on the context, based on the circumstance, based on who 128 00:06:58,480 --> 00:07:02,237 you are, based on the problem you ask that based on your prompt. It will 129 00:07:02,320 --> 00:07:07,197 generate unique content for you every single time for everybody. It's unique. 130 00:07:07,280 --> 00:07:11,117 When you use Grock, every time you use it is different just based on right 131 00:07:11,200 --> 00:07:14,397 based on based on the based on the prompt that you give it and based on the 132 00:07:14,480 --> 00:07:17,597 circumstance and and so therefore it 133 00:07:17,680 --> 00:07:19,997 used to be retrievalbased 134 00:07:20,080 --> 00:07:22,557 today it's generative and if it's 135 00:07:22,640 --> 00:07:27,197 generative then and every time is different then you need AI factories all 136 00:07:27,280 --> 00:07:30,877 over the world to generate the content in real time which is the reason why you 137 00:07:30,960 --> 00:07:34,877 need AI factories and and this is a unique way of doing computation but the 138 00:07:34,960 --> 00:07:39,517 benefit of course is that Everything isn't preconceived and pre-documented 139 00:07:39,600 --> 00:07:43,677 and it's it's contextually s contextually sensible and and therefore 140 00:07:43,760 --> 00:07:47,277 intelligent. >> So AI factories and robotics and we 141 00:07:47,360 --> 00:07:49,037 heard it yesterday from his royal 142 00:07:49,120 --> 00:07:51,997 highness his vision how to augment our 143 00:07:52,080 --> 00:07:54,717 workforce with roughly tens of millions 144 00:07:54,800 --> 00:07:57,677 of robotics to be able to infuse the 145 00:07:57,760 --> 00:08:00,317 next wave of productivity and progress. 146 00:08:00,400 --> 00:08:02,797 But this scares a lot of folks here when 147 00:08:02,880 --> 00:08:07,357 it comes to the future of jobs. So let's hear about your thoughts uh Elon and 148 00:08:07,440 --> 00:08:09,757 Jensen on that. 149 00:08:09,840 --> 00:08:15,037 >> Uh sure. Well um you say like in the long term where 150 00:08:15,120 --> 00:08:19,437 will things end up longterm? I don't know what long term is. Maybe it's 151 00:08:19,520 --> 00:08:21,437 10 20 years something like that. For me 152 00:08:21,520 --> 00:08:26,557 that's long term. Um my prediction is that work will be optional. 153 00:08:26,640 --> 00:08:31,757 >> Optional. >> Optional. Um so 154 00:08:31,840 --> 00:08:35,837 >> we'll take that. >> Yeah. I mean it it'll be like uh playing 155 00:08:35,920 --> 00:08:37,517 sports or a video game or something like 156 00:08:37,600 --> 00:08:40,797 that. Um if you want to work uh you know 157 00:08:40,880 --> 00:08:43,117 in the same way like you can you can go 158 00:08:43,200 --> 00:08:47,997 to the store and just buy some vegetables or you could grow vegetables 159 00:08:48,080 --> 00:08:51,677 in your backyard. It's much harder to grow vegetables in your backyard but 160 00:08:51,760 --> 00:08:53,277 some people still do it because they 161 00:08:53,360 --> 00:08:55,837 like growing growing vegetables. Um that 162 00:08:55,920 --> 00:09:00,717 will be what work is like optional. Um and between now and then there's 163 00:09:00,800 --> 00:09:02,957 actually a lot of work to get to that point. 164 00:09:03,040 --> 00:09:05,757 >> Mh. Um, and I always recommend people 165 00:09:05,840 --> 00:09:08,797 read read Yin Banks uh culture books to 166 00:09:08,880 --> 00:09:12,957 get a sense for what a probable 167 00:09:13,040 --> 00:09:16,477 positive AI future is like. Um, and 168 00:09:16,560 --> 00:09:18,797 interestingly in those books, money is 169 00:09:18,880 --> 00:09:22,557 no longer doesn't exist. It's kind of 170 00:09:22,640 --> 00:09:25,597 interesting. And I I my guess is in in 171 00:09:25,680 --> 00:09:29,677 if you go out long enough, assuming there's a continued improvement in AI 172 00:09:29,760 --> 00:09:32,317 and robotics, which there seems likely, 173 00:09:32,400 --> 00:09:35,357 the money will will stop being relevant 174 00:09:35,440 --> 00:09:38,397 at some point in the future. Um now 175 00:09:38,480 --> 00:09:41,357 there will still be constraints on power 176 00:09:41,440 --> 00:09:45,117 like electricity and mass. Uh the 177 00:09:45,200 --> 00:09:47,117 fundamental physics elements will still 178 00:09:47,200 --> 00:09:51,117 be still be constraints. Um but um I 179 00:09:51,200 --> 00:09:55,437 think at some point uh currency becomes 180 00:09:55,520 --> 00:09:58,237 irrelevant. 181 00:09:58,320 --> 00:10:00,877 >> Jensen, any thoughts? 182 00:10:00,960 --> 00:10:05,917 >> Um [laughter] 183 00:10:06,000 --> 00:10:09,997 by the way, the Nvidia earnings call is later today. [laughter] 184 00:10:10,080 --> 00:10:13,997 >> And by the way, since currency is relevant. 185 00:10:14,080 --> 00:10:18,237 >> Cheers. >> [laughter] 186 00:10:18,320 --> 00:10:24,280 >> Elon just wants to share with you some breaking news. [laughter] 187 00:10:26,840 --> 00:10:31,597 [laughter] The two of us who like to share some breaking news. Uh let's see. 188 00:10:31,680 --> 00:10:36,237 I I would say I would say there there's um different horizons you could look at. 189 00:10:36,320 --> 00:10:38,397 Everybody's jobs will be different. That 190 00:10:38,480 --> 00:10:43,437 I think that that's for sure. Uh how how the students learn will be different. 191 00:10:43,520 --> 00:10:47,197 um uh how people do their work will be different obviously because a lot of the 192 00:10:47,280 --> 00:10:49,677 things that that we do mundanely or 193 00:10:49,760 --> 00:10:52,477 arduously or very difficultly are going 194 00:10:52,560 --> 00:10:57,117 to be done very simply and and so we're going to be more productive from that s 195 00:10:57,200 --> 00:10:59,037 from that sense one of the things that I 196 00:10:59,120 --> 00:11:02,717 will say is that for most people or a 197 00:11:02,800 --> 00:11:06,877 company if some if your life becomes more productive 198 00:11:06,960 --> 00:11:09,357 and if the things that you're doing uh 199 00:11:09,440 --> 00:11:14,077 with great difficulty becomes simpler it is very likely because you have so many 200 00:11:14,160 --> 00:11:18,157 ideas, you'll have more time to go pursue things. It is my guess that Elon 201 00:11:18,240 --> 00:11:22,477 will be busier as a result of AI, I'm going to be busier as a result of AI. 202 00:11:22,560 --> 00:11:26,237 And the reason for that is because we have so many ideas we want to pursue, so 203 00:11:26,320 --> 00:11:30,077 many things that that we still have in our backlog inside our company that we 204 00:11:30,160 --> 00:11:34,077 can go pursue. If we were more productive, we can get to those things 205 00:11:34,160 --> 00:11:36,717 faster. And so in the near term I would 206 00:11:36,800 --> 00:11:41,197 say that that there is every evidence that that we will be more productive and 207 00:11:41,280 --> 00:11:45,517 yet still be busier because we have so many ideas. One thing that I will say 208 00:11:45,600 --> 00:11:48,157 give you give you some evidence is that 209 00:11:48,240 --> 00:11:49,597 uh and I was just telling Elon about 210 00:11:49,680 --> 00:11:52,717 this earlier radiology for example has 211 00:11:52,800 --> 00:11:55,917 largely been uh converted to AIdriven 212 00:11:56,000 --> 00:11:57,517 radiology and there's some really great 213 00:11:57,600 --> 00:12:00,557 companies doing that and the surprising 214 00:12:00,640 --> 00:12:03,517 thing is the prediction that all 215 00:12:03,600 --> 00:12:05,677 radiologists would be the first jobs to 216 00:12:05,760 --> 00:12:08,717 go was exactly the opposite. The trend 217 00:12:08,800 --> 00:12:14,157 shows that there are more radiologists being hired now as a result of AI. And 218 00:12:14,240 --> 00:12:17,917 the reason for that, if you take a step back, it's because the goal of a 219 00:12:18,000 --> 00:12:20,797 radiologist is not to study the images. 220 00:12:20,880 --> 00:12:23,277 The goal of a radiologist is to diagnose 221 00:12:23,360 --> 00:12:28,157 a disease. Now, the studying of the images became so productive. They could 222 00:12:28,240 --> 00:12:32,237 study more images, study more modalities, spend more time with the 223 00:12:32,320 --> 00:12:36,397 patients. And as a result, they were actually accepting more patients. We're 224 00:12:36,480 --> 00:12:39,277 doing more radiology all around the world. We're doing a better job with 225 00:12:39,360 --> 00:12:41,837 diagnosing disease. And so that's that's 226 00:12:41,920 --> 00:12:45,837 kind of the the nearterm near uh outcome 227 00:12:45,920 --> 00:12:48,957 of of uh AI and productivity. And and 228 00:12:49,040 --> 00:12:53,757 we'll see we'll see what happens long term. You know, I I 229 00:12:53,840 --> 00:12:57,437 when when currency doesn't matter anymore, just, you know, let me know 230 00:12:57,520 --> 00:13:00,077 right before. 231 00:13:00,160 --> 00:13:04,477 >> You'll see it coming. [laughter] You'll see it coming. like like 232 00:13:04,560 --> 00:13:06,717 >> we text often so just >> Yeah, we do. 233 00:13:06,800 --> 00:13:08,637 >> Yeah, just text it off. Yeah, let me know. 234 00:13:08,720 --> 00:13:12,557 >> I kind of I kind of agree with with both of you because if you look at every 235 00:13:12,640 --> 00:13:15,277 technological trend, every general 236 00:13:15,360 --> 00:13:20,557 purpose technology has been net new positive for for the globe for humanity 237 00:13:20,640 --> 00:13:22,877 and so forth. And let me share with you two nice 238 00:13:22,960 --> 00:13:26,397 >> statements and and your excellency I think it's precisely the reason the 239 00:13:26,480 --> 00:13:30,717 reason for that is because all the great ideas from from innovators like Elon 240 00:13:30,800 --> 00:13:34,637 that you have so many good ideas >> that and Jensen as well. 241 00:13:34,720 --> 00:13:38,557 >> Yeah. Well, thank you. >> So let me share with you two stories 242 00:13:38,640 --> 00:13:42,317 from two Saudi innovators in collaboration with a lot of great the 243 00:13:42,400 --> 00:13:44,877 great work that Nvidia does that Gro 244 00:13:44,960 --> 00:13:47,917 does. One is professor 245 00:13:48,000 --> 00:13:49,597 Maryagi. 246 00:13:49,680 --> 00:13:53,197 All right, let me say that again. It's 247 00:13:53,280 --> 00:13:59,080 Professor Omaragi. Who is 248 00:13:59,200 --> 00:14:01,517 >> I might need to >> might need to move the mic. 249 00:14:01,600 --> 00:14:04,477 >> All right, 250 00:14:04,560 --> 00:14:08,760 >> here. Come on. We'll share this one. 251 00:14:08,880 --> 00:14:11,277 >> Get closer. >> Let's let's let's try this one more 252 00:14:11,360 --> 00:14:13,357 time. So one of them is professor 253 00:14:13,440 --> 00:14:16,557 Omaragi who's the first American Saudi 254 00:14:16,640 --> 00:14:19,277 to win a Nobel prize in creating new 255 00:14:19,360 --> 00:14:21,677 chemistry and the way he has done that 256 00:14:21,760 --> 00:14:24,157 he has leveraged your AI accelerators 257 00:14:24,240 --> 00:14:28,877 and models like Grock to be able to create new chemistry when it comes to 258 00:14:28,960 --> 00:14:31,037 metal organic frameworks. Those are 259 00:14:31,120 --> 00:14:33,517 metal ions that are positively charged 260 00:14:33,600 --> 00:14:36,237 with organic linkers to be able to 261 00:14:36,320 --> 00:14:39,837 effectively create a sponge with 33 262 00:14:39,920 --> 00:14:43,277 nanometers pores to capture water from 263 00:14:43,360 --> 00:14:47,357 air and also to capture carbon dioxide. 264 00:14:47,440 --> 00:14:50,477 The second story has also to do with AI 265 00:14:50,560 --> 00:14:53,277 accelerated by Nvidia and with models 266 00:14:53,360 --> 00:14:55,837 like Brock which is nanop which is 267 00:14:55,920 --> 00:14:59,037 effectively creating a nano robot 500 268 00:14:59,120 --> 00:15:01,677 nanometers by a,000 nanometers to be 269 00:15:01,760 --> 00:15:04,397 able to do gene editing leveraging the 270 00:15:04,480 --> 00:15:06,957 crisper technology to take out sickle 271 00:15:07,040 --> 00:15:09,117 cell disease. Now in both these 272 00:15:09,200 --> 00:15:11,917 instances they originated 20 years ago 273 00:15:12,000 --> 00:15:15,677 in research but AI was able to really 274 00:15:15,760 --> 00:15:20,877 accelerate the outcomes and the outputs such that we can move into new value 275 00:15:20,960 --> 00:15:25,357 pools. So I think with every technological trend humanity is going to 276 00:15:25,440 --> 00:15:29,997 always manage to shift to new value pools when it comes to workforce and 277 00:15:30,080 --> 00:15:33,917 productivity. But we have some great announcements to talk about here today. 278 00:15:34,000 --> 00:15:38,237 Let's begin with you Elon. the things that we're doing with XAI. Uh yeah, 279 00:15:38,320 --> 00:15:40,397 we're excited to announce that um we're 280 00:15:40,480 --> 00:15:44,957 doing a a a uh a 500 megawatt I mean 281 00:15:45,040 --> 00:15:48,877 yeah 500 sorry >> 500 megawatt 282 00:15:48,960 --> 00:15:52,397 >> 500 megawatt yeah >> we're doing 500 [laughter] 283 00:15:52,480 --> 00:15:56,397 >> we're doing 500 megawatt >> sorry 284 00:15:56,480 --> 00:15:58,397 >> yeah yeah the 500 g one will have to 285 00:15:58,480 --> 00:16:02,717 wait um so um that that'll be eight 286 00:16:02,800 --> 00:16:06,057 bazillion trillion dollars Um, 287 00:16:06,140 --> 00:16:09,837 [laughter] stop that. 288 00:16:09,920 --> 00:16:13,037 >> Uh, [laughter] 289 00:16:13,120 --> 00:16:17,597 so yeah, we we're we're doing a um XCAI 290 00:16:17,680 --> 00:16:20,397 and the Kingdom of Saudi Arabia are doing a a 291 00:16:20,480 --> 00:16:24,557 >> Humane 500 megawatt starting with 50 megawatts phase one and we're doing it 292 00:16:24,640 --> 00:16:26,957 with Nvidia. Congratulations to the 293 00:16:27,040 --> 00:16:29,437 Humane team to target team. Such a 294 00:16:29,520 --> 00:16:32,637 fantastic job. Jensen, I think we're 295 00:16:32,720 --> 00:16:37,757 also doing some great announcements uh this week. We are [laughter] 296 00:16:37,840 --> 00:16:41,037 we're announcing we're announcing all kinds of things. Um uh our partnership 297 00:16:41,120 --> 00:16:43,037 with Humane is is going incredibly well. 298 00:16:43,120 --> 00:16:45,917 First of all, uh we we uh work together 299 00:16:46,000 --> 00:16:48,237 to get this company started and off the 300 00:16:48,320 --> 00:16:51,197 ground and just got an incredible 301 00:16:51,280 --> 00:16:54,877 customer with Elon. Could you imagine a 302 00:16:54,960 --> 00:16:57,037 startup company approximately zero 303 00:16:57,120 --> 00:17:00,157 billion dollars in revenues now going to 304 00:17:00,240 --> 00:17:02,397 build a data center for Elon 500 305 00:17:02,480 --> 00:17:04,957 megawatts is gigantic. Uh this company 306 00:17:05,040 --> 00:17:07,437 is off the charts uh right away. Uh in 307 00:17:07,520 --> 00:17:10,157 addition to that we're um uh working 308 00:17:10,240 --> 00:17:13,357 working uh AWS as you know is also 309 00:17:13,440 --> 00:17:17,517 >> congratulations to the humane team with AWS 310 00:17:17,600 --> 00:17:19,357 >> starting with 100 megawws with a 311 00:17:19,440 --> 00:17:22,957 gigawatt ambition and uh counting. So 312 00:17:23,040 --> 00:17:25,517 AWS is also coming to Humane. Uh we're 313 00:17:25,600 --> 00:17:28,237 working with uh Humane on Omniverse uh 314 00:17:28,320 --> 00:17:31,757 digital twins. Uh as you know that AI is 315 00:17:31,840 --> 00:17:35,357 not just well just agentic AI and chat 316 00:17:35,440 --> 00:17:40,237 bots and uh cognitive AI is incredibly important to the world. Uh but AI 317 00:17:40,320 --> 00:17:45,037 applies to everything, chemicals and proteins and genes and physics and fluid 318 00:17:45,120 --> 00:17:49,517 dynamics and particles and of course robotics and activation and um and we 319 00:17:49,600 --> 00:17:51,517 created this world called Omniverse 320 00:17:51,600 --> 00:17:53,197 where robots can learn how to be good 321 00:17:53,280 --> 00:17:56,557 robots and and it's physically based. It 322 00:17:56,640 --> 00:18:00,797 obeys the laws of physics and so robots can learn in these environments and 323 00:18:00,880 --> 00:18:05,917 we're working with Humane to apply Omniverse to all kinds of uh digital 324 00:18:06,000 --> 00:18:09,437 factories and robotics and warehouses and things like that. And so that's 325 00:18:09,520 --> 00:18:13,677 that's another uh we're we're also working uh in Saudi Arabia to build 326 00:18:13,760 --> 00:18:15,837 supercomputers to simulate quantum 327 00:18:15,920 --> 00:18:19,037 computers and and uh uh using our 328 00:18:19,120 --> 00:18:23,437 computers to be the controller and the error correction quantum error 329 00:18:23,520 --> 00:18:27,517 correction requires an enormous amount of computation and so so we're doing a 330 00:18:27,600 --> 00:18:31,117 lot of great work there too. So a big partnership with Humane they're off the 331 00:18:31,200 --> 00:18:35,037 charts um off the ground and off the charts at the same time. This is how we 332 00:18:35,120 --> 00:18:37,357 walk the talk in the Kingdom of Saudi 333 00:18:37,440 --> 00:18:39,917 Arabia in partnership with the US. 334 00:18:40,000 --> 00:18:42,317 Yesterday, the president and his Royal 335 00:18:42,400 --> 00:18:44,317 Highness announced the AI strategic 336 00:18:44,400 --> 00:18:47,037 framework and partnership. Today, we're 337 00:18:47,120 --> 00:18:53,880 going big with Elon and Jensen. So, thank you for those opportunities. 338 00:18:54,470 --> 00:18:55,997 [applause] 339 00:18:56,080 --> 00:18:58,637 Now, they they told me I have time for 340 00:18:58,720 --> 00:19:01,437 two last questions. So last night at the 341 00:19:01,520 --> 00:19:03,917 dinner I got a number of questions 342 00:19:04,000 --> 00:19:08,477 because it seems that the schedule leaked and uh everybody was giving me 343 00:19:08,560 --> 00:19:10,317 hints about the last two questions I'm 344 00:19:10,400 --> 00:19:12,397 going to do. So the first one was for 345 00:19:12,480 --> 00:19:16,477 you Elon and there's a big one for you 346 00:19:16,560 --> 00:19:20,077 Jensen. So prepare for that one. AI in 347 00:19:20,160 --> 00:19:23,197 space is that possible? 348 00:19:23,280 --> 00:19:26,797 Uh yes, if if civilization continues, 349 00:19:26,880 --> 00:19:33,757 which it probably will, uh then AI in space is inevitable. Um 350 00:19:33,840 --> 00:19:38,717 um you know, I always have to like preface that, you know, 351 00:19:38,800 --> 00:19:42,717 we shouldn't take civilization for granted. We we need to make sure to take 352 00:19:42,800 --> 00:19:45,357 care to ensure that civilization has an 353 00:19:45,440 --> 00:19:49,837 upward arc. I mean, any student of history knows that civilization does not 354 00:19:49,920 --> 00:19:54,477 always have an upward arc. And in fact, civilizations have life life cycles. So 355 00:19:54,560 --> 00:19:56,557 hopefully we are in a strong upward arc. 356 00:19:56,640 --> 00:19:58,717 I think we are for now. Um but we don't 357 00:19:58,800 --> 00:19:59,917 want to take that for granted or be 358 00:20:00,000 --> 00:20:04,157 complacent. Um but the in order to the 359 00:20:04,240 --> 00:20:08,397 way to think of AI in space is that in order to achieve any meaningful 360 00:20:08,480 --> 00:20:10,237 percentage of a cautev 2 scale 361 00:20:10,320 --> 00:20:13,037 civilization where you're using even a 362 00:20:13,120 --> 00:20:15,677 millionth a millionth of the sun's 363 00:20:15,760 --> 00:20:19,197 energy you must have solar powered AI 364 00:20:19,280 --> 00:20:23,597 satellites in in deep space. Um so so 365 00:20:23,680 --> 00:20:27,517 that once you realize like once you think in terms of a kadeshv two scale 366 00:20:27,600 --> 00:20:29,757 civilization which is what what 367 00:20:29,840 --> 00:20:32,077 percentage of the sun's energy are you 368 00:20:32,160 --> 00:20:35,037 turning into useful work um then you 369 00:20:35,120 --> 00:20:38,237 then it becomes obvious that space is 370 00:20:38,320 --> 00:20:42,637 overwhelmingly what matters overwhelmingly. the the sun only 371 00:20:42,720 --> 00:20:44,877 receives one roughly one two billionth 372 00:20:44,960 --> 00:20:48,557 of the earth only receives roughly u one 373 00:20:48,640 --> 00:20:51,757 two billionth of the sun's energy. So if 374 00:20:51,840 --> 00:20:55,357 you want to have something that is say a 375 00:20:55,440 --> 00:20:57,037 million times more energy than earth 376 00:20:57,120 --> 00:20:59,197 could possibly produce, 377 00:20:59,280 --> 00:21:04,877 >> you must go into space. It's and and so 378 00:21:04,960 --> 00:21:10,637 um you know this is where it's kind of handy to have a space company I guess um 379 00:21:10,720 --> 00:21:13,677 sell the book. >> Easier to cool chips in space too. 380 00:21:13,760 --> 00:21:15,997 >> Yes. >> Easier to cool chips in space. Yeah. 381 00:21:16,080 --> 00:21:18,317 >> Yes. There's definitely no water in space. So you're going to have to do 382 00:21:18,400 --> 00:21:20,637 something. Yeah. >> Uh that doesn't involve water. 383 00:21:20,720 --> 00:21:23,117 >> Just hang out. >> Well, it's you just got to radiate. 384 00:21:23,200 --> 00:21:26,877 >> That's right. Um so 385 00:21:26,960 --> 00:21:28,397 my estimate is that actually that that 386 00:21:28,480 --> 00:21:33,997 that the cost of of electricity like 387 00:21:34,080 --> 00:21:36,957 like the cost effectiveness of AI in 388 00:21:37,040 --> 00:21:40,157 space will be overwhelmingly better than 389 00:21:40,240 --> 00:21:43,037 AI on the ground. So far long before you 390 00:21:43,120 --> 00:21:45,197 uh exhaust potential energy sources on 391 00:21:45,280 --> 00:21:47,917 on Earth. Long long before meaning like 392 00:21:48,000 --> 00:21:50,557 I think even perhaps in the 393 00:21:50,640 --> 00:21:53,517 four or five year time frame the lowest 394 00:21:53,600 --> 00:21:57,197 cost way to do AI compute will be with 395 00:21:57,280 --> 00:22:00,557 solar powered AI satellites. 396 00:22:00,640 --> 00:22:04,317 So I'd say not more than five years from now. 397 00:22:04,400 --> 00:22:07,597 >> Wow. >> And just look at the supercomputers 398 00:22:07,680 --> 00:22:11,437 we're building together. Let's say each one of the racks is two tons. Out of 399 00:22:11,520 --> 00:22:15,757 that two tons, 1.95 of it is probably for cooling, >> right? 400 00:22:15,840 --> 00:22:18,717 >> Oh, yeah. >> Just imagine how tiny that little 401 00:22:18,800 --> 00:22:22,477 supercomputer is, right? Each one of these GB300 racks will just be a little 402 00:22:22,560 --> 00:22:24,797 tiny thing. >> And and just electricity generation is 403 00:22:24,880 --> 00:22:26,717 is already becoming a challenge. 404 00:22:26,800 --> 00:22:30,157 >> Um so if you if you start doing any kind 405 00:22:30,240 --> 00:22:32,077 of scaling for both electricity 406 00:22:32,160 --> 00:22:35,037 generation and cooling, um you realize, 407 00:22:35,120 --> 00:22:38,317 okay, space is incredibly compelling. Um 408 00:22:38,400 --> 00:22:39,917 so 409 00:22:40,000 --> 00:22:42,637 like let's say you wanted to do um I 410 00:22:42,720 --> 00:22:49,037 don't know two or 300 gawatt per year um of of AI compute. 411 00:22:49,120 --> 00:22:51,437 >> Yeah. >> Um it's very difficult to do that on 412 00:22:51,520 --> 00:22:54,637 Earth. Uh the so the the uh US average 413 00:22:54,720 --> 00:22:56,877 electricity usage uh last time I checked 414 00:22:56,960 --> 00:23:00,397 was around 460 gawatts per year average 415 00:23:00,480 --> 00:23:05,437 usage. Um so so something like say uh 416 00:23:05,520 --> 00:23:07,597 you know three 300 if you're doing 300 417 00:23:07,680 --> 00:23:12,717 gawatts a year that would be like 2/3 of US electricity production per year. 418 00:23:12,800 --> 00:23:16,797 >> There's no way you're building power plants at that level. Um and then if you 419 00:23:16,880 --> 00:23:20,077 take it up to say a terowatt per year impossible. Yeah. 420 00:23:20,160 --> 00:23:22,317 >> Like you have to do that in space. 421 00:23:22,400 --> 00:23:24,557 >> There there just is there just is no way 422 00:23:24,640 --> 00:23:27,917 to do a terowatt uh per year on Earth. 423 00:23:28,000 --> 00:23:29,437 Um 424 00:23:29,520 --> 00:23:32,157 and uh and and in space you you've got 425 00:23:32,240 --> 00:23:37,597 continuous solar. Um you've got uh you don't you actually don't need batteries 426 00:23:37,680 --> 00:23:39,037 because it's always sunny in space. 427 00:23:39,120 --> 00:23:42,877 >> Right. Exactly. >> Um and um and and the solar panels 428 00:23:42,960 --> 00:23:44,077 actually become cheaper because you 429 00:23:44,160 --> 00:23:47,117 don't need glass or framing. Um and the 430 00:23:47,200 --> 00:23:52,317 cooling is just radiative. So that's that's why I think >> that's the dream. 431 00:23:52,400 --> 00:23:55,277 >> Yes, >> that's the dream. So Jensen, everybody 432 00:23:55,360 --> 00:23:57,277 last night was asking me and I'm mindful 433 00:23:57,360 --> 00:24:00,637 it's a earnings uh call for you today. 434 00:24:00,720 --> 00:24:02,397 So I'm going to say this delicately. 435 00:24:02,480 --> 00:24:04,877 Everybody has been asking me to ask you 436 00:24:04,960 --> 00:24:07,487 are we going to have an AI bubble? 437 00:24:07,570 --> 00:24:12,157 [laughter] That's the last question. All right, let's 438 00:24:12,240 --> 00:24:15,997 all right let me well let me just hear you what we see. Okay, so so I I think 439 00:24:16,080 --> 00:24:19,357 it's really important when you look at what's happening around the world and go 440 00:24:19,440 --> 00:24:22,317 back to first principles of what's happening in computer science and 441 00:24:22,400 --> 00:24:26,557 computing. There are three things that that's happening. The first thing is 442 00:24:26,640 --> 00:24:30,477 that we all know that Moore's law has run its course and the ability that the 443 00:24:30,560 --> 00:24:33,837 amount of demand for computing versus the amount of computation we can get out 444 00:24:33,920 --> 00:24:37,437 of general purpose computing is really challenging and so the world's been 445 00:24:37,520 --> 00:24:40,557 moving to accelerated computing for some time. We've been pushing this now for 446 00:24:40,640 --> 00:24:43,277 some over 20 years. Let me give you one 447 00:24:43,360 --> 00:24:45,917 statistic. I was just at supercomputing 448 00:24:46,000 --> 00:24:49,437 six years ago. Uh 449 00:24:49,520 --> 00:24:52,877 CPUs were 90% of the world's 450 00:24:52,960 --> 00:24:54,877 supercomputers, top 500 supercomputers 451 00:24:54,960 --> 00:24:59,517 six years ago. This year less than 15%. 452 00:24:59,600 --> 00:25:02,637 Went from 90% to 10%. And meanwhile, 453 00:25:02,720 --> 00:25:07,517 accelerated computing went from the other way, 10% to now 90%. Okay, so 454 00:25:07,600 --> 00:25:11,917 you're seeing that inflection point, the transition in high performance computing 455 00:25:12,000 --> 00:25:15,117 from general purpose computing to accelerated computing. Well, one of the 456 00:25:15,200 --> 00:25:18,717 one of the most data intensive one of the most intensive computation things 457 00:25:18,800 --> 00:25:22,717 that the world does in cloud is data processing. Several hundred billion 458 00:25:22,800 --> 00:25:25,357 dollars of computation is done on just 459 00:25:25,440 --> 00:25:30,157 raw data processing. Has nothing to do with AI, just SQL processing, data 460 00:25:30,240 --> 00:25:33,917 frames, you know, everybody's names, address, their their sex, their their 461 00:25:34,000 --> 00:25:37,757 age, where they live, you know, how much money they make. All of that sits into a 462 00:25:37,840 --> 00:25:41,277 data frame. And that data frame drives the world today. Whether it's in banking 463 00:25:41,360 --> 00:25:43,517 or you know whether it's in credit cards 464 00:25:43,600 --> 00:25:48,317 or of course e-commerce and everything from ad recommendation 465 00:25:48,400 --> 00:25:51,517 everything is driven off of that data frame that data frame costs hundreds 466 00:25:51,600 --> 00:25:55,117 hundreds of dollars to go compute and so that's the number one thing end of mors 467 00:25:55,200 --> 00:26:02,040 law the second thing is generative what the 468 00:26:02,720 --> 00:26:05,357 the last 15 years is called rexes 469 00:26:05,440 --> 00:26:10,317 recommener systems how do we know what information to recommend to us uh in a 470 00:26:10,400 --> 00:26:14,397 social feed. How do you know what ad to recommend to somebody? Uh what book to 471 00:26:14,480 --> 00:26:18,397 recommend, what movie to recommend? The world is the internet is so gigantic 472 00:26:18,480 --> 00:26:22,237 without a recommener system that a little tiny phone of us will have no 473 00:26:22,320 --> 00:26:26,797 chance of ever seeing the right information. That Rexus is the engine of 474 00:26:26,880 --> 00:26:30,717 the internet today. That's going generative AI. It used to be running on 475 00:26:30,800 --> 00:26:33,117 CPUs, now runs on GPUs. Which then says 476 00:26:33,200 --> 00:26:36,237 the third thing when if you just look at 477 00:26:36,320 --> 00:26:38,477 those two applications 478 00:26:38,560 --> 00:26:41,037 many of the internet companies can build 479 00:26:41,120 --> 00:26:43,677 enormous number of GPU supercomputers 480 00:26:43,760 --> 00:26:48,397 just doing that of course then it creates this the third opportunity on 481 00:26:48,480 --> 00:26:52,157 top of it which is agentic AI this is grock and this is open AI this is 482 00:26:52,240 --> 00:26:56,957 anthropic you know this is Gemini agentic AI sits on top of that but don't 483 00:26:57,040 --> 00:26:58,957 you know don't forget to think about 484 00:26:59,040 --> 00:27:02,797 what is happening above underneath ath 485 00:27:02,880 --> 00:27:07,597 what everybody sees as AI today. There's a whole movement of computing from 486 00:27:07,680 --> 00:27:11,357 general purpose computing to accelerated computing and that if you just if you 487 00:27:11,440 --> 00:27:13,517 take that into consideration you'll come 488 00:27:13,600 --> 00:27:16,237 to the conclusion that in fact what is 489 00:27:16,320 --> 00:27:19,197 left over to fuel that revolutionary 490 00:27:19,280 --> 00:27:22,397 agentic AI is not only substantially 491 00:27:22,480 --> 00:27:24,717 less than you thought and all of it 492 00:27:24,800 --> 00:27:27,197 justified. Well, I was just informed by 493 00:27:27,280 --> 00:27:30,637 the team that my boss and your bosses is 494 00:27:30,720 --> 00:27:34,397 going to talk next, the honorable president and his royal highness, the 495 00:27:34,480 --> 00:27:40,920 crown prince. And hence, we ran out of time. But in essence, 496 00:27:41,200 --> 00:27:45,277 this is a such so much love for you Elon 497 00:27:45,360 --> 00:27:48,477 and and Jensen. But this in essence is a 498 00:27:48,560 --> 00:27:50,877 92 alliance 499 00:27:50,960 --> 00:27:53,917 that shifted from energy to digital to 500 00:27:54,000 --> 00:27:56,797 the intelligence age powered by pioneers 501 00:27:56,880 --> 00:27:59,277 such as Elon and Jensen to serve 502 00:27:59,360 --> 00:28:02,317 humanity and create on a net new basis 503 00:28:02,400 --> 00:28:04,877 new economies, new jobs and a better 504 00:28:04,960 --> 00:28:09,517 future for humanity powered by the Kingdom of Saudi Arabia and the United 505 00:28:09,600 --> 00:28:13,277 States. Thank you for our lifetime partnership and friendship. Thank you 506 00:28:13,360 --> 00:28:16,387 Elon. Thank you Jensen. >> Thank you. 507 00:28:16,470 --> 00:28:21,110 >> [applause] >> All right. [music] 508 00:28:27,600 --> 00:28:31,757 [music] Ladies and gentlemen, what we just heard was a conversation about the 509 00:28:31,840 --> 00:28:34,397 future of technology spoken by the 510 00:28:34,480 --> 00:28:36,637 people building it. To his excellency 511 00:28:36,720 --> 00:28:41,437 Abdullah Hailon Mosque and Jensen Huang, thank you for a conversation that did 512 00:28:41,520 --> 00:28:43,437 more than describe the future of 513 00:28:43,520 --> 00:28:46,557 technology. It actually showed us who's 514 00:28:46,640 --> 00:28:48,877 building it and how. And now ladies and 515 00:28:48,960 --> 00:28:51,037 gentlemen, we ask you to remain in the 516 00:28:51,120 --> 00:28:54,477 plenary. We will soon proceed with the 517 00:28:54,560 --> 00:28:56,717 special address by the leaders. As his 518 00:28:56,800 --> 00:28:59,677 excellency Swaha mentioned, our leaders 519 00:28:59,760 --> 00:29:03,357 are about to arrive. So the sponsorship 520 00:29:03,440 --> 00:29:06,317 recognition segment will take place 521 00:29:06,400 --> 00:29:10,397 after their departure. And I just want to mention that uh his royal highness 522 00:29:10,480 --> 00:29:12,557 the crown prince Muhammad bin Salman Aiz 523 00:29:12,640 --> 00:29:15,517 aloud will deliver his speech in Arabic. 524 00:29:15,600 --> 00:29:18,237 For English speaking guests, we have 525 00:29:18,320 --> 00:29:20,557 live translation devices available for 526 00:29:20,640 --> 00:29:27,240 you. Our ground team will be more than happy to assist you. Thank you. 527 00:29:32,720 --> 00:29:34,317 >> Waiting [music] 528 00:29:34,400 --> 00:29:37,037 for 529 00:29:37,120 --> 00:29:41,757 sing [music and singing] his song. 530 00:29:41,840 --> 00:29:43,997 So many 531 00:29:44,080 --> 00:29:45,837 dreams [music] 532 00:29:45,920 --> 00:29:50,637 I kept deep inside [singing] me. 533 00:29:50,720 --> 00:29:54,797 alone [music] in the dark. 534 00:29:54,880 --> 00:29:57,357 But now you've come [singing] 535 00:29:57,440 --> 00:30:02,797 along and you 536 00:30:02,880 --> 00:30:06,480 light [singing] up