1 00:00:00,000 --> 00:00:03,877 joins us this morning with Palantir's co-founder [music] and CEO Alex Karp. 2 00:00:03,960 --> 00:00:06,517 Morning, Sara. >> [laughter] 3 00:00:06,600 --> 00:00:10,917 >> Good morning, Carl. It's good to see you. Yes, I am here at Palantir with the 4 00:00:11,000 --> 00:00:14,317 founder and CEO Alex Karp. It's good to have you. Good to speak with you. 5 00:00:14,400 --> 00:00:17,397 >> Very nice to be here. >> And and Carl was just talking about the 6 00:00:17,480 --> 00:00:21,157 Iran war risk, which is influencing the market today and the fact that we 7 00:00:21,240 --> 00:00:22,917 haven't gotten a deal yet. I know that 8 00:00:23,000 --> 00:00:26,037 you are heavily involved AI operating 9 00:00:26,120 --> 00:00:30,917 system for the military. What what is your view on on where the war goes from 10 00:00:31,000 --> 00:00:35,357 here? >> Um well, first of all, you know, at Palantir, you know, people currently 11 00:00:35,440 --> 00:00:38,157 focusing a lot on our commercial business and 12 00:00:38,240 --> 00:00:39,357 there's a lot of interesting things 13 00:00:39,440 --> 00:00:42,677 there, but once uh war zones uh heat up 14 00:00:42,760 --> 00:00:45,397 anywhere in the allied world, uh the 15 00:00:45,480 --> 00:00:49,437 Palantir Maven platform, which um takes 16 00:00:49,520 --> 00:00:51,357 very valuable LLMs and makes them 17 00:00:51,440 --> 00:00:54,557 actually lethal and uh useful on the 18 00:00:54,640 --> 00:00:56,837 battlefield, come into action and then 19 00:00:56,920 --> 00:00:58,637 the primary focus of our whole company 20 00:00:58,720 --> 00:01:02,197 is bringing our American uh war fighters 21 00:01:02,280 --> 00:01:05,517 home safely, meaning that when we engage 22 00:01:05,600 --> 00:01:07,997 that they engage in a way that it gives 23 00:01:08,080 --> 00:01:10,757 them a massively unfair advantage, uh 24 00:01:10,840 --> 00:01:13,397 scares our adversaries, and make sure 25 00:01:13,480 --> 00:01:15,677 that when they're in action, they have 26 00:01:15,760 --> 00:01:18,837 an a the best humanly and inhumanly 27 00:01:18,920 --> 00:01:21,517 possible chance of of coming home safe 28 00:01:21,600 --> 00:01:26,037 and without injury. And so, the whole company really just focuses on the 29 00:01:26,120 --> 00:01:27,877 operations of that. 30 00:01:27,960 --> 00:01:30,797 And um obviously, these things begin 31 00:01:30,880 --> 00:01:34,237 well before uh the public sees uh and we 32 00:01:34,320 --> 00:01:37,717 have a wide swath of of Palantirians 33 00:01:37,800 --> 00:01:41,677 working on various platforms, particularly the Maven platform. And 34 00:01:41,760 --> 00:01:45,357 then, there are a lot of things that are in the public space. So, Maven has been 35 00:01:45,440 --> 00:01:48,917 kind of discussed and kind of older versions of Maven have been shown in 36 00:01:49,000 --> 00:01:51,517 public, but um I think the American 37 00:01:51,600 --> 00:01:56,397 people would be very positively surprised by the advances in technology 38 00:01:56,480 --> 00:01:59,517 that really only America has. >> Well, without giving away too many 39 00:01:59,600 --> 00:02:03,917 secrets, like can you just explain what edge that is that you give our war 40 00:02:04,000 --> 00:02:06,517 fighters? >> of all, there really two things. Every 41 00:02:06,600 --> 00:02:09,637 every military force in the world, so you see this 42 00:02:09,720 --> 00:02:13,117 uh on the battlefield in Ukraine, like one of the big issues the Russians had 43 00:02:13,200 --> 00:02:15,437 is how do you transform your operations 44 00:02:15,520 --> 00:02:18,637 into a modern operation? And if you take 45 00:02:18,720 --> 00:02:23,357 components of Maven, there's basically infrastructure which allows you to take 46 00:02:23,440 --> 00:02:27,357 older systems and make them newer systems. And then, so that allows you to 47 00:02:27,440 --> 00:02:30,997 to have a completely integrated battle space, which is super hard because of 48 00:02:31,080 --> 00:02:35,037 security, clearance, data sources. You have You can think of it as infant data 49 00:02:35,120 --> 00:02:38,117 with very with some of which is very sensitive, some of which no one else can 50 00:02:38,200 --> 00:02:39,437 see, some of which everyone has to see. 51 00:02:39,520 --> 00:02:42,957 You have allies working on it. How do you get that into one plane of glass? 52 00:02:43,040 --> 00:02:45,597 With the security. How do you then use 53 00:02:45,680 --> 00:02:48,317 advances in AI and machine learning to 54 00:02:48,400 --> 00:02:50,997 enhance that uh while making those 55 00:02:51,080 --> 00:02:55,437 decisions not like what's proverbially called loose AI code. It's just not 56 00:02:55,520 --> 00:02:58,317 useful on the like None of these things actually are used anywhere on the 57 00:02:58,400 --> 00:03:01,557 battlefield. So, how do you enhance your ability to see things? How do you 58 00:03:01,640 --> 00:03:05,357 enhance your ability to go through very complex systems? So, like for example, 59 00:03:05,440 --> 00:03:08,317 in Ukraine, you're not It's not just getting the drone to the end point. It's 60 00:03:08,400 --> 00:03:10,197 going through advanced radar systems. 61 00:03:10,280 --> 00:03:14,597 And then, vis-à-vis Iran, it's 100 times more complicated because they have You 62 00:03:14,680 --> 00:03:18,557 know, it's like you look at American performance, which has been 63 00:03:18,640 --> 00:03:21,997 you know, thanks to the bravery of Americans and the ingenuity and I would 64 00:03:22,080 --> 00:03:26,717 like to believe our tech, very few losses on our side, very precise, very 65 00:03:26,800 --> 00:03:30,077 controlled, and then in a complete ability You saw this in Venezuela to 66 00:03:30,160 --> 00:03:34,317 dismantle these things. And so, because the dismantling is happening, we 67 00:03:34,400 --> 00:03:38,677 underestimate the complexity that it took to do that. It was not possible to 68 00:03:38,760 --> 00:03:43,477 do these things 2 years ago, 3 years ago, and now America can can can really 69 00:03:43,560 --> 00:03:47,877 do this with great precision and with very low cost to to us in terms of lives 70 00:03:47,960 --> 00:03:49,917 and casualties. >> opening up new business in different 71 00:03:50,000 --> 00:03:52,757 regions for you, the success of what you're saying in the Middle East? 72 00:03:52,840 --> 00:03:57,357 >> the the the the one of the many secrets of Palantir, people talk about our 73 00:03:57,440 --> 00:04:00,397 forward deployed engineers, they're trying to copy, talk about ontology, 74 00:04:00,480 --> 00:04:04,677 they try to copy, talk talk about, you know, how software that's like fine 75 00:04:04,760 --> 00:04:08,317 software's worthless, but everyone's trying to copy us. So, that's obviously 76 00:04:08,400 --> 00:04:11,237 and some points of software are not that valuable, but some parts are crucial. 77 00:04:11,320 --> 00:04:13,797 >> is. >> Well, there are three kinds of software 78 00:04:13,880 --> 00:04:17,357 really. There's basically you can think of infrastructure, which is like hard 79 00:04:17,440 --> 00:04:21,837 coded things written into the enterprise that have to be managed on prem often, 80 00:04:21,920 --> 00:04:24,797 so you maintain maintain the sovereignty of your own data. 81 00:04:24,880 --> 00:04:29,797 That is not valuable. That is excruciatingly valuable. Then you have 82 00:04:29,880 --> 00:04:33,557 what how do you manage that? So, like ontology, foundry and other things, 83 00:04:33,640 --> 00:04:38,357 those things are are very valuable and durable. Then you have FDEs and large 84 00:04:38,440 --> 00:04:41,477 language models. Most FDEs are just throwing people at a 85 00:04:41,560 --> 00:04:44,597 problem that anyone else can solve. So, if you can manage so those it's some are 86 00:04:44,680 --> 00:04:49,637 valuable, some are worthless. Uh free code is essentially very easy. So, 87 00:04:49,720 --> 00:04:52,477 you have a very different but in any case, um 88 00:04:52,560 --> 00:04:55,957 what you see in crucial situations 89 00:04:56,040 --> 00:05:00,477 in Russia, in the Middle East or in Ukraine, Middle East, uh where you have 90 00:05:00,560 --> 00:05:05,197 to bring home people safely and where your adversary has to be dismantled and 91 00:05:05,280 --> 00:05:06,837 then adversary don't, you know, the 92 00:05:06,920 --> 00:05:09,477 Persians and the Russians and the and 93 00:05:09,560 --> 00:05:12,397 the CCP are exceedingly talented 94 00:05:12,480 --> 00:05:16,877 technical people in various different ways with very unique and historically 95 00:05:16,960 --> 00:05:20,357 viable ways of fighting. So, you're not going up against an adversary that's 96 00:05:20,440 --> 00:05:22,437 just going to lay down. When you have to 97 00:05:22,520 --> 00:05:24,957 do that, you have to bring your unique 98 00:05:25,040 --> 00:05:27,517 way of doing something enhanced with 99 00:05:27,600 --> 00:05:33,397 things no one else has. Those things now are infrastructure software 100 00:05:33,480 --> 00:05:37,037 uh foundry, Apollo and large language 101 00:05:37,120 --> 00:05:41,597 models that we are producing managed by us. It is the combination that is legal. 102 00:05:41,680 --> 00:05:45,157 By the way, you see this in US commercial and the interesting thing 103 00:05:45,240 --> 00:05:48,837 about what's going on in the world right now, so domestically is you have 104 00:05:48,920 --> 00:05:51,717 essentially a really important, uniquely 105 00:05:51,800 --> 00:05:55,997 American movement uh call it Frontier Labs. 106 00:05:56,080 --> 00:06:00,077 They are There's the way we think about this actually is just philosophically 107 00:06:00,160 --> 00:06:03,877 and technically wrong. Philosophically it's wrong because it's not doomer 108 00:06:03,960 --> 00:06:06,117 versus not doomer. It's a hyper religion 109 00:06:06,200 --> 00:06:11,117 of hyper optimism. They believe all problems peasant peasant present, past, 110 00:06:11,200 --> 00:06:14,117 and future, including the ones they create and don't acknowledge they create 111 00:06:14,200 --> 00:06:17,477 are going to be solved by them, including human nature, 112 00:06:17,560 --> 00:06:21,197 >> Mhm. >> uh disparities in Okay, and then on the 113 00:06:21,280 --> 00:06:25,677 infrastructure side, enterprises are just fed up because they 114 00:06:25,760 --> 00:06:29,477 know this doesn't actually work this way and it's not working. And that basically 115 00:06:29,560 --> 00:06:34,277 is drives our commercial business. On the on the government side, 116 00:06:34,360 --> 00:06:39,517 we're we are super pro-American, super pro-West. 117 00:06:39,600 --> 00:06:41,997 >> You've always said that. And you've always said that. I do wonder though how 118 00:06:42,080 --> 00:06:45,837 you protect the company from getting politicized. I mean, you've worked with 119 00:06:45,920 --> 00:06:50,357 administrations on in both parties before, but especially, you know, when 120 00:06:50,440 --> 00:06:54,637 it comes to this war, which is unpopular and the Democrats have been fighting it, 121 00:06:54,720 --> 00:06:57,877 you know, how how you avoid making Palantir a target in the midterm 122 00:06:57,960 --> 00:07:00,237 elections or in the next presidential election? 123 00:07:00,320 --> 00:07:02,397 >> I don't want to be positively overly 124 00:07:02,480 --> 00:07:05,037 naive. We are trying I am trying 125 00:07:05,120 --> 00:07:07,437 sometime with success, sometimes without 126 00:07:07,520 --> 00:07:11,437 to move people that that that AI AI 127 00:07:11,520 --> 00:07:15,917 infrastructure revolution is a unique opportunity for America because it we've 128 00:07:16,000 --> 00:07:18,277 developed almost all of it first. 129 00:07:18,360 --> 00:07:22,117 However, um it it cannot be discussed in 130 00:07:22,200 --> 00:07:27,357 blue-red terms. Like currently the biggest danger to America is you you 131 00:07:27,440 --> 00:07:29,597 know, it's like people are like, "Oh, this guy agrees with me politically, 132 00:07:29,680 --> 00:07:32,757 therefore he's right. This woman agrees disagrees with me politically." They're 133 00:07:32,840 --> 00:07:37,637 like, "This is a massive massive revolution and there is a danger" Look, 134 00:07:37,720 --> 00:07:40,797 I've been running around telling people for the last 6 months in private and 135 00:07:40,880 --> 00:07:44,037 somewhat in public >> The nationalization >> is coming. 136 00:07:44,120 --> 00:07:48,237 >> And the reason why it's coming is you can't do a blue red debate. This is a 137 00:07:48,320 --> 00:07:52,877 massive revolution and it's going to there's opportunities only America has 138 00:07:52,960 --> 00:07:55,957 and there are dangers in this revolution. And for example, I got in 139 00:07:56,040 --> 00:07:59,637 trouble for saying not saying we would have a draft. I wasn't saying that. I 140 00:07:59,720 --> 00:08:02,757 was saying we're in a >> Some people think you were advocating a draft. 141 00:08:02,840 --> 00:08:07,637 >> what I was saying is we're in a massive time of dislocation. And in dislocation, 142 00:08:07,720 --> 00:08:11,997 we have to find ways to come together as a culture. And while it is the case in 143 00:08:12,080 --> 00:08:14,837 Silicon Valley that everyone thinks we're going to magically like each other 144 00:08:14,920 --> 00:08:17,797 because there's abundance and no one has a job. 145 00:08:17,880 --> 00:08:22,517 Unless we're ending history. In fact, it's actually very much the opposite. 146 00:08:22,600 --> 00:08:25,797 We're going to have massive resources, but they're going to disproportionately 147 00:08:25,880 --> 00:08:27,917 go to people who are already wealthy. 148 00:08:28,000 --> 00:08:31,757 Okay, that is a political problem. You can't just say oh, we're all going to 149 00:08:31,840 --> 00:08:34,797 have more therefore we're happy. Okay, well, you know, we're not at the end 150 00:08:34,880 --> 00:08:37,037 >> So, what should the what should the industry do about it? 151 00:08:37,120 --> 00:08:38,797 >> We have to be we have to be frontal 152 00:08:38,880 --> 00:08:42,237 about there are issues that are real and 153 00:08:42,320 --> 00:08:47,077 getting worse like wealth accumulation is totally fine. Even though I am 154 00:08:47,160 --> 00:08:50,157 actually a card-carrying progressive, I don't think card-carrying progressive 155 00:08:50,240 --> 00:08:52,357 have anything against >> a card-carrying progressive? 156 00:08:52,440 --> 00:08:56,277 >> I I I know. The question is not whether I'm progressive. It's the question is 157 00:08:56,360 --> 00:08:59,677 whether some progressive are progressive. I am progressive. I want 158 00:08:59,760 --> 00:09:03,557 poor people to have better lifestyle, higher standard of living, all poor 159 00:09:03,640 --> 00:09:06,037 people. I got in trouble for mentioning 160 00:09:06,120 --> 00:09:09,517 that, you know, 40 37% of our GD GDP is 161 00:09:09,600 --> 00:09:13,397 female. 50% of Americans 52 roughly are 162 00:09:13,480 --> 00:09:18,837 female. There's a dislocation there. 67% of people who have 163 00:09:18,920 --> 00:09:22,757 who have gone into graduate school are female. These parts of the market are 164 00:09:22,840 --> 00:09:25,077 going to be put under massive pressure. 165 00:09:25,160 --> 00:09:29,037 It doesn't help to pretend we're not going to have these problems. In fact, 166 00:09:29,120 --> 00:09:33,197 the progressive position is progressive because you speak about problems like 167 00:09:33,280 --> 00:09:37,317 okay, so we have we got we can protect our workforce. Can we protect our 168 00:09:37,400 --> 00:09:40,837 workforce and have my great migration the way we used to? Can we protect our 169 00:09:40,920 --> 00:09:45,037 workforce by teaching people the same skills we used to in the past? You know, 170 00:09:45,120 --> 00:09:48,317 we have a massive program at Palantir to help neuro divergence. Not because I'm 171 00:09:48,400 --> 00:09:52,557 particularly a good person on that score. I mean, I am dyslexic and some 172 00:09:52,640 --> 00:09:55,997 people think I'm neuro divergent. But because those people are particularly 173 00:09:56,080 --> 00:10:00,037 valuable for our economy. And what made someone come to America from all over 174 00:10:00,120 --> 00:10:01,557 the world? They were neuro divergent. 175 00:10:01,640 --> 00:10:04,917 They're like, it's not working out for me in my culture. I got to come. So 176 00:10:05,000 --> 00:10:05,877 >> Okay, I'm glad to hear that. 177 00:10:05,960 --> 00:10:07,917 >> But but in any case, yes. But But the 178 00:10:08,000 --> 00:10:11,397 point is we have to somehow get 179 00:10:11,480 --> 00:10:14,717 everybody around people who totally get 180 00:10:14,800 --> 00:10:19,517 you know, it's like when Bernie Sanders says, "I'm going to take 50%." Okay. You 181 00:10:19,600 --> 00:10:21,157 know what? >> You think that's actually going to happen? 182 00:10:21,240 --> 00:10:24,757 >> I I'll give I'll give you a If If we keep going, Bernie Sand Do you know how 183 00:10:24,840 --> 00:10:26,677 people don't think I'm progressive? 184 00:10:26,760 --> 00:10:29,557 In 2 years, they're not going to think Bernie Sanders is progressive. They're 185 00:10:29,640 --> 00:10:32,757 going to be like, "Bernie Sanders, you only want 50%?" 186 00:10:32,840 --> 00:10:34,997 What do you What is this 50%? >> we're headed as a country? 187 00:10:35,080 --> 00:10:37,597 >> We're absolutely headed in that direction. And we're headed in that 188 00:10:37,680 --> 00:10:39,837 direction simply because the most 189 00:10:39,920 --> 00:10:42,477 important Leaving the tech aside, which 190 00:10:42,560 --> 00:10:45,637 is also driving it. The most important 191 00:10:45,720 --> 00:10:48,277 political decisions in this country are 192 00:10:48,360 --> 00:10:50,837 going to be driven by Do you understand 193 00:10:50,920 --> 00:10:53,437 AI? Do you understand what it's doing? 194 00:10:53,520 --> 00:10:57,357 And as importantly, do you Are we going to tell the American people don't 195 00:10:57,440 --> 00:11:01,157 believe your lying eyes? Like politicians in the past have done 196 00:11:01,240 --> 00:11:05,277 this. It does not work. The American people are really wondering what is 197 00:11:05,360 --> 00:11:09,077 going to happen to them. And the answers aren't all good or bad. And then they 198 00:11:09,160 --> 00:11:11,437 can't also >> Do you see mass job losses? 199 00:11:11,520 --> 00:11:13,797 >> It's It's It's It's It's It's It's not 200 00:11:13,880 --> 00:11:19,037 the job loss the thing that is mass needing to retrain and retool and do 201 00:11:19,120 --> 00:11:22,597 things differently. By the way, this is an incredibly important American 202 00:11:22,680 --> 00:11:26,837 advantage as I I spent half my life in Europe. If you just said, "What are the 203 00:11:26,920 --> 00:11:29,437 advantages they have? What are the advantages we have?" The what The 204 00:11:29,520 --> 00:11:32,597 biggest advantage we have is our dynamism, our ability to change, our 205 00:11:32,680 --> 00:11:35,357 ability to rebuild. But we're going to have to use that 206 00:11:35,440 --> 00:11:38,757 advantage because the jobs of the past are going to be very different than the 207 00:11:38,840 --> 00:11:41,557 jobs of the future, and we're all going to have to change, and that's going to 208 00:11:41,640 --> 00:11:44,837 disproportionately affect people, and we need and then we need a common purpose. 209 00:11:44,920 --> 00:11:47,997 What is our common purpose? And it that's something that we're really 210 00:11:48,080 --> 00:11:52,677 struggling with, and when you have these struggles, people go to the far right 211 00:11:52,760 --> 00:11:55,837 and the far left, and they're very charismatic. We should not make the 212 00:11:55,920 --> 00:11:59,717 mistake Europe has made by not addressing these things, and then the 213 00:11:59,800 --> 00:12:03,357 only people who win politically are people who may not know what they're 214 00:12:03,440 --> 00:12:06,757 talking about, but are very charismatic because they're addressing a real issue. 215 00:12:06,840 --> 00:12:10,797 And in this case, the real issue is Americans are afraid. And by the way, 216 00:12:10,880 --> 00:12:13,357 the other real issue, and I'll just talk about somebody I've spent 20 years in 217 00:12:13,440 --> 00:12:17,197 enterprise. We work with the most important governments. 218 00:12:17,280 --> 00:12:21,597 We are controversial, quite frankly, because we power every single Western 219 00:12:21,680 --> 00:12:24,797 power that's at war. >> Yeah. >> And by the way, we're also we're all 220 00:12:24,880 --> 00:12:28,037 Yeah, you know why we're also controversial? They have capacities they 221 00:12:28,120 --> 00:12:30,317 didn't have in the past, and our adversaries 222 00:12:30,400 --> 00:12:32,277 >> I know, you continue to make that point. 223 00:12:32,360 --> 00:12:34,957 >> but the commercial thing, the commercial 224 00:12:35,040 --> 00:12:38,077 thing enterprises are also unhappy. You 225 00:12:38,160 --> 00:12:40,277 know, it's not just the man and woman on 226 00:12:40,360 --> 00:12:45,277 the street that is unhappy with the Frontier Labs. It's in private, every 227 00:12:45,360 --> 00:12:48,597 single enterprise we deal with. And we have this thing inside Palantir that's 228 00:12:48,680 --> 00:12:51,877 somewhat controversial, but we keep debating, should we pay people to go to 229 00:12:51,960 --> 00:12:56,117 large language model companies before they come to us? Cuz people come out of 230 00:12:56,200 --> 00:12:59,237 there screaming saying this could never work for me. They don't understand the 231 00:12:59,320 --> 00:13:03,037 enterprise. They don't care about my enterprise. They want a token max. 232 00:13:03,120 --> 00:13:05,197 >> Okay, so this is you're getting to the heart of it because I think the biggest 233 00:13:05,280 --> 00:13:09,197 question around Palantir right now on Wall Street is whether the large 234 00:13:09,280 --> 00:13:12,797 language models, the Anthropics and the AIs, which are about to go public, can 235 00:13:12,880 --> 00:13:15,597 replicate what you're doing. >> You know what? 236 00:13:15,680 --> 00:13:18,917 It's it's a real question that no one in 237 00:13:19,000 --> 00:13:23,357 enterprise factually is worried like, you know, the investors are really into 238 00:13:23,440 --> 00:13:26,597 it short-term have no idea what they're talking about, long-term end up being 239 00:13:26,680 --> 00:13:29,637 right. We we we will just debate this 240 00:13:29,720 --> 00:13:34,237 with the facts. You know, I I've spent all my life for better or worse dealing 241 00:13:34,320 --> 00:13:37,757 with the most complicated, most enter- interesting enterprises. I'm on the 242 00:13:37,840 --> 00:13:41,637 ground floor in that, probably like no one else. And I >> you're saying. 243 00:13:41,720 --> 00:13:46,597 >> They're I mean, most of them are chill chill chillaxing over their latte, 244 00:13:46,680 --> 00:13:49,717 reading a report about something that they don't understand the technical 245 00:13:49,800 --> 00:13:53,437 capacity of it. You know, and you know >> But they're hiring the kind of engineers 246 00:13:53,520 --> 00:13:54,997 >> Yeah, they're great. >> that you have. 247 00:13:55,080 --> 00:13:59,197 >> That that And those kind of engineers are great engineers. And I'm telling you 248 00:13:59,280 --> 00:14:02,077 they don't talk to the enterprises or don't understand the technical 249 00:14:02,160 --> 00:14:06,357 challenge. And also, by the way, the ability to be a great investor in the 250 00:14:06,440 --> 00:14:09,957 kind of where those That's where large language models are more useful because 251 00:14:10,040 --> 00:14:14,517 it's it's probabilistic and you don't have to get better than really 51%. If 252 00:14:14,600 --> 00:14:18,237 you want to manufacture a car and you need a part or you want to send a rocket 253 00:14:18,320 --> 00:14:21,677 to the moon or you want to put a missile on your adversary's head and bring home 254 00:14:21,760 --> 00:14:26,197 Americans safely, that stuff doesn't ship. And by the way, and there's not a 255 00:14:26,280 --> 00:14:29,717 single high-end enterprise like that that would ever put By the way, that's 256 00:14:29,800 --> 00:14:31,637 before you get to the cultural impasse. 257 00:14:31,720 --> 00:14:36,757 Like the the When you go to San Francisco and talk to them, their basic 258 00:14:36,840 --> 00:14:40,237 vibe is we don't have to solve your problem today because tomorrow you're 259 00:14:40,320 --> 00:14:42,597 going to go away and all of your problems are going to be solved. It's 260 00:14:42,680 --> 00:14:46,437 largely religious. And then you get to we're going to do we're going to 261 00:14:46,520 --> 00:14:48,597 replicate Palantir by doing a deployco. 262 00:14:48,680 --> 00:14:51,477 I mean, it's a complete farce. Like the people who go there to solve the 263 00:14:51,560 --> 00:14:55,037 simplest easiest problems that sell tokens. 264 00:14:55,120 --> 00:14:58,317 And they're the part they don't understand, honestly, and I told them 265 00:14:58,400 --> 00:15:01,757 this, I probably shouldn't, is they don't understand how unlikable they 266 00:15:01,840 --> 00:15:05,517 are. So, they the product doesn't actually work the way it's very 267 00:15:05,600 --> 00:15:10,037 expensive and you got to overcome the fact that you may not realize outside of 268 00:15:10,120 --> 00:15:13,597 San Like actually, I'm not even saying I find them unlikable because actually 269 00:15:13,680 --> 00:15:16,317 some of the best and most interesting conversations I've had in business are 270 00:15:16,400 --> 00:15:21,037 like hanging out with some of them, Sam, Dario, others. I I I these are high, you 271 00:15:21,120 --> 00:15:24,757 know, like you talk to Darii, it's a great time. And he's he does 272 00:15:24,840 --> 00:15:28,117 >> together at AIG. I was going to ask, is Anthropic are they are they friend or 273 00:15:28,200 --> 00:15:31,717 foe? Are they competitor >> Well, he No, again, this is Well, I 274 00:15:31,800 --> 00:15:36,037 mean, most of the things they talk about in public are running on Palantir. So, 275 00:15:36,120 --> 00:15:38,237 it's like it Now, 276 00:15:38,320 --> 00:15:43,597 at this scale, we're a nation-state, basically. They are like we are fri- I 277 00:15:43,680 --> 00:15:45,237 like it's I don't wouldn't and they're 278 00:15:45,320 --> 00:15:48,477 and he is the he is the frontier person 279 00:15:48,560 --> 00:15:50,797 of a of the leading frontier model com- 280 00:15:50,880 --> 00:15:53,117 company currently. And he's gone from 281 00:15:53,200 --> 00:15:56,637 being way behind to being ahead. 282 00:15:56,720 --> 00:16:00,277 And he's just a he's a very, very important person. And And I'll tell you, 283 00:16:00,360 --> 00:16:04,637 he believes what he's saying. I just would say that First, wait. He believes 284 00:16:04,720 --> 00:16:09,357 all problems in the I think and I impute him or believes all problems of the 285 00:16:09,440 --> 00:16:13,477 current, present, and future the one are transitionary to a perfect 286 00:16:13,560 --> 00:16:14,877 future. 287 00:16:14,960 --> 00:16:18,117 I believe that we need heaven on Earth, 288 00:16:18,200 --> 00:16:22,317 not heaven in the next in 20 years. And I'm very We disagree on these things. 289 00:16:22,400 --> 00:16:25,317 But doesn't mean that, you know, it's like we don't agree on other things. 290 00:16:25,400 --> 00:16:28,997 It's like, you know, they agree on certain national security, we disagree. 291 00:16:29,080 --> 00:16:32,917 It's It's not It's not as simple as agree, disagree, bad, good. These are 292 00:16:33,000 --> 00:16:36,597 some of the more interesting, important people in the world. I I'm betting 293 00:16:36,680 --> 00:16:41,477 heavily and my customers pretty much are on my side that, you know, 294 00:16:41,560 --> 00:16:46,157 it is not that large language models aren't crucial for the world. It's just 295 00:16:46,240 --> 00:16:50,557 the implementation is where the value is, certainly in the next 7 years. 296 00:16:50,640 --> 00:16:53,117 And if you want to ask me what's going to happen in 10 years, I don't know. 297 00:16:53,200 --> 00:16:57,357 But, you know, the risk of a pathogen uh destroying us >> [music] 298 00:16:57,440 --> 00:17:00,477 >> is probably as high as >> Is that why you guys are working so much 299 00:17:00,560 --> 00:17:03,997 on health care right now? >> Um well, you know, the the the the thing 300 00:17:04,080 --> 00:17:08,237 is these low probability events that shape the world are often 301 00:17:08,320 --> 00:17:12,637 underestimated. And they are again, they're These are not like These These 302 00:17:12,720 --> 00:17:16,197 are events that call require software infrastructure, implementation, 303 00:17:16,280 --> 00:17:18,037 ontology, and large language models. As 304 00:17:18,120 --> 00:17:21,317 an example, if you have a deadly 305 00:17:21,400 --> 00:17:23,717 pathogen come into this country, the 306 00:17:23,800 --> 00:17:28,917 signs of this are going to be very similar to the signs of finding 307 00:17:29,000 --> 00:17:32,957 a somebody moved a truck by 2 cm and that 308 00:17:33,040 --> 00:17:37,837 means they're going to attack. Is it is only possible and then the security 309 00:17:37,920 --> 00:17:40,877 around it which people often underestimate that we do, which is the 310 00:17:40,960 --> 00:17:45,317 bedrock of the reason why Palantir is indispensable. It's like you can't just 311 00:17:45,400 --> 00:17:49,197 use data sets in this environment. Each single data set you can think of as each 312 00:17:49,280 --> 00:17:53,437 single micro part of the data set has to be its own sovereign data set. So this 313 00:17:53,520 --> 00:17:57,597 whole move you get of what part of the data is sovereign, you can think of it 314 00:17:57,680 --> 00:18:02,037 we do that at the millimeter level. Like which part of the attribute is sovereign 315 00:18:02,120 --> 00:18:05,677 to the person. What can be shared? What can be imputed? What can't be imputed? 316 00:18:05,760 --> 00:18:08,117 What can't be generalized and shared? 317 00:18:08,200 --> 00:18:12,557 What has to be shared? Which experts can see what under under what conditions? Is 318 00:18:12,640 --> 00:18:15,717 the measurement accurate? How long is the measurement accurate? Under what 319 00:18:15,800 --> 00:18:18,557 conditions is it accurate? Who does the implementation? Do they have the 320 00:18:18,640 --> 00:18:22,717 clearance? What all these things that all those things have to be modeled and 321 00:18:22,800 --> 00:18:25,597 done in a platform that's been doing this. By the 322 00:18:25,680 --> 00:18:29,557 way, the cyber threat like how do you can't just run large language models. 323 00:18:29,640 --> 00:18:32,797 You actually how do you patch what you find? How do you patch what you find at 324 00:18:32,880 --> 00:18:36,837 scale? How do you is the software you run 325 00:18:36,920 --> 00:18:40,957 How do you and if you could do all that, how do you have the accreditation to 326 00:18:41,040 --> 00:18:44,557 work on a secure network if it's never been you've never actually done that 327 00:18:44,640 --> 00:18:49,037 before? No idea what's involved and you need the accreditation to do it. 328 00:18:49,120 --> 00:18:51,837 >> So so they're not a cure-all. But finally Alex, I did want to ask you 329 00:18:51,920 --> 00:18:54,797 about SpaceX cuz it's going public this week as well and I know you've partnered 330 00:18:54,880 --> 00:18:59,077 with them on on proposals like the Golden Dome missile protection and you 331 00:18:59,160 --> 00:19:03,397 are working on AI operating I think as it relates to space. So I'm just curious 332 00:19:03,480 --> 00:19:04,597 how you view that area. 333 00:19:04,680 --> 00:19:08,077 >> I very optimistic for the future. I root 334 00:19:08,160 --> 00:19:10,517 for every entrepreneur. I'm rooting for 335 00:19:10,600 --> 00:19:14,517 Elon. And uh, we partner in some areas 336 00:19:14,600 --> 00:19:17,037 and probably don't compete in others, 337 00:19:17,120 --> 00:19:19,517 but it's Look, when a when when when a 338 00:19:19,600 --> 00:19:22,557 massive IPO, first of all, you know, 339 00:19:22,640 --> 00:19:24,957 we're so blessed in this country. Like, 340 00:19:25,040 --> 00:19:26,997 okay, so I mean, I spent half my life in 341 00:19:27,080 --> 00:19:29,637 Germany. If there was an I IPO, DPO, or 342 00:19:29,720 --> 00:19:32,717 anything at like the $120 billion range, 343 00:19:32,800 --> 00:19:34,757 the whole country would be jumping up 344 00:19:34,840 --> 00:19:37,237 and down. Here we have a country where 345 00:19:37,320 --> 00:19:40,037 it's like appears to be the one of the 346 00:19:40,120 --> 00:19:42,597 large, if not the largest IPO ever. Uh, 347 00:19:42,680 --> 00:19:47,317 it's super cool technology, things that no one else have done, and like I think 348 00:19:47,400 --> 00:19:51,197 I think most Americans, and certainly I hope all entrepreneurs are rooting for 349 00:19:51,280 --> 00:19:54,357 success. >> And space? Bullish on Are you bullish on 350 00:19:54,440 --> 00:19:55,677 space? Are you guys doing something? 351 00:19:55,760 --> 00:19:59,877 >> Well, again, it's very similar to these other debates. You People underestimate 352 00:19:59,960 --> 00:20:03,557 that bullish on space if the person doing it knows what they're doing. 353 00:20:03,640 --> 00:20:07,677 Bullish on Elon and space? Yes. Bullish on space? No idea. 354 00:20:07,760 --> 00:20:09,757 >> Okay. Alex Karp, thank you very much. 355 00:20:09,840 --> 00:20:11,517 >> Thank you. >> It's always good to talk to you. 356 00:20:11,600 --> 00:20:13,277 >> Yeah, you're in great demand. 357 00:20:13,360 --> 00:20:14,757 >> Thank you. >> Great demand. 358 00:20:14,840 --> 00:20:17,717 >> Alex [laughter] Karp >> Glad I got on here. Bye. 359 00:20:17,800 --> 00:20:22,117 >> Um, Palantir, um, defend really defending the company, Carl, against I 360 00:20:22,200 --> 00:20:24,477 think some of the narratives that we talk about and hear about on Wall 361 00:20:24,560 --> 00:20:27,477 Street, especially when it comes to the AI software, where there's been this 362 00:20:27,560 --> 00:20:30,677 rotation out of it and names like Palantir into the into the 363 00:20:30,760 --> 00:20:34,157 infrastructure plays and potentially the LLMs here. 364 00:20:34,240 --> 00:20:37,437 >> Vampire Dracula here. If you found value in this video, please smash the like 365 00:20:37,520 --> 00:20:40,597 button. Let me know your favorite part of the video by commenting below. And 366 00:20:40,680 --> 00:20:41,917 most importantly, don't forget to 367 00:20:42,000 --> 00:20:48,120 subscribe and ding that bell. Until next time, keep it real.