WEBVTT 00:00:00.000 --> 00:00:04.317 One of the most important [music] things Palantir's done on the battlefield is be 00:00:04.400 --> 00:00:07.917 able to make up for the fact that [music] half your enterprise doesn't even work. 00:00:08.000 --> 00:00:11.677 On the battlefield. It does work in a lab, on a PowerPoint. [music] 00:00:11.760 --> 00:00:13.437 For example, if you just take Ukraine as 00:00:13.520 --> 00:00:19.560 an example, how hard could it be to move a [music] drone from A to B? 00:00:22.040 --> 00:00:24.677 >> It's my pleasure to introduce Alex Karp. 00:00:24.760 --> 00:00:27.877 Um I want to just start off on something 00:00:27.960 --> 00:00:32.077 that's more intimate between he and I. I mean, I'm pretty proud of what I created 00:00:32.160 --> 00:00:33.677 at BlackRock, but 00:00:33.760 --> 00:00:35.997 my total return since I've been a CEO 00:00:36.080 --> 00:00:39.157 has only compounded at 21%. 00:00:39.240 --> 00:00:43.317 Uh since Alex and Palantir went public, 00:00:43.400 --> 00:00:47.117 uh his compounded return is 73%. So, 00:00:47.200 --> 00:00:48.877 um 00:00:48.960 --> 00:00:51.837 congratulations, Alex. 00:00:51.920 --> 00:00:54.757 As co-founder and CEO of Palantir, uh 00:00:54.840 --> 00:00:57.357 Alex has closely worked with defense and 00:00:57.440 --> 00:00:59.037 government 00:00:59.120 --> 00:01:01.997 private private organizations to apply 00:01:02.080 --> 00:01:05.117 how AI can be used, and and it's really 00:01:05.200 --> 00:01:10.077 important. And I must say, my conversations that I've had in with Alex 00:01:10.160 --> 00:01:13.877 over over the last year has really enlightened me. 00:01:13.960 --> 00:01:16.437 So, I'm looking forward to this, Alex. 00:01:16.520 --> 00:01:17.997 So, let me just start off from your 00:01:18.080 --> 00:01:20.597 perspective, how is AI supporting 00:01:20.680 --> 00:01:24.197 decision-making in defense and security? 00:01:24.280 --> 00:01:28.517 >> One of the most important things Palantir's done on the battlefield is be 00:01:28.600 --> 00:01:32.157 able to make up for the fact that half your enterprise doesn't even work. 00:01:32.240 --> 00:01:36.677 On the battlefield. It does work in a lab, on a PowerPoint. For example, if 00:01:36.760 --> 00:01:41.197 you just take Ukraine as an example, how hard could it be to move a drone from A 00:01:41.280 --> 00:01:45.597 to B? Actually, first of all, you're going to need to know where you want to put the 00:01:45.680 --> 00:01:49.477 drone, and that's going to require synchronizing all your data without 00:01:49.560 --> 00:01:51.797 transferring that data to your adversary, which means you're going to 00:01:51.880 --> 00:01:54.357 have to know every single person who touched it. You're going to have to 00:01:54.440 --> 00:01:58.437 obfuscate it to the final thing. Then you're going to want to do it presumably 00:01:58.520 --> 00:02:02.477 either within the accordance of your strategy or with your ethics. So, where 00:02:02.560 --> 00:02:07.277 does it where does it not go? Do you want to put the drone on your asset? No 00:02:07.360 --> 00:02:11.477 one Only two people in Ukraine may know that one of the generals is your asset. 00:02:11.560 --> 00:02:13.117 You can't tell people that your asset. 00:02:13.200 --> 00:02:16.957 How do you How do you make it look like to your soldiers that you actually were 00:02:17.040 --> 00:02:20.637 taking people out and you just missed your asset? And then the war advances. 00:02:20.720 --> 00:02:24.317 So, the Russians they began jamming electronics. So, now you have a 00:02:24.400 --> 00:02:27.557 completely different problem. Now it's not a question of going from A to B. 00:02:27.640 --> 00:02:31.637 It's a question of going through a completely jammed environment where you 00:02:31.720 --> 00:02:35.437 have no connectivity while actually collecting data while you go through 00:02:35.520 --> 00:02:37.957 that environment. And every one of those 00:02:38.040 --> 00:02:43.317 things is like a dynamic challenge. None of which were foreseen even before the 00:02:43.400 --> 00:02:47.277 Ukraine. And by the way, the other thing is then people fight differently. The 00:02:47.360 --> 00:02:51.757 Ukrainians, it's a small team of people and very courageous soldiers that are 00:02:51.840 --> 00:02:57.037 very technical. They have highly technical people that have built on top 00:02:57.120 --> 00:03:00.877 of our product things that we don't understand and proprietary ways of using 00:03:00.960 --> 00:03:02.797 the product. And then in America you 00:03:02.880 --> 00:03:08.037 have just have massive force but they had to be integrated. So, 00:03:08.120 --> 00:03:13.437 every one of those things is different and so the the twofold role of of 00:03:13.520 --> 00:03:16.757 enterprise software on a battlefield is one to make sure all the underlying 00:03:16.840 --> 00:03:20.837 things actually works and then two to raise the level to a level no one else 00:03:20.920 --> 00:03:23.437 has in the world. >> There's so much technology was created 00:03:23.520 --> 00:03:26.877 from defense whether it was the internet 00:03:26.960 --> 00:03:29.157 GPS. 00:03:29.240 --> 00:03:34.037 How do you see envision this translating from defense and military 00:03:34.120 --> 00:03:38.877 um to corporations to businesses to society? 00:03:38.960 --> 00:03:42.317 >> On the battlefield, one of the most important issues 00:03:42.400 --> 00:03:47.037 is how do you acquire data, process it, and then put it into a framework. In the 00:03:47.120 --> 00:03:48.557 end of the day, what is a business 00:03:48.640 --> 00:03:50.677 doing? It's information. It's sorting 00:03:50.760 --> 00:03:54.277 the information in a way that you have 00:03:54.360 --> 00:03:59.197 a distinct advantage over other people who are similarly situated 00:03:59.280 --> 00:04:03.197 and that that advantage can't be eviscerated easily. When you approach 00:04:03.280 --> 00:04:06.637 the underwriter or the hospital, we power tons and tons of hospitals. 00:04:06.720 --> 00:04:08.077 >> Right. >> They have an intake problem. They all 00:04:08.160 --> 00:04:11.477 have an intake problem. They all have a shortage of doctors and nurses. They are 00:04:11.560 --> 00:04:15.037 working in a low margin environment. But every single one has a different way of 00:04:15.120 --> 00:04:19.237 processing their patients according to what their specialty is and the kind of 00:04:19.320 --> 00:04:23.197 patients they don't do well with and how do you manage that? And so the intake 00:04:23.280 --> 00:04:26.117 flow and into your enterprise in a way that 00:04:26.200 --> 00:04:30.237 you can actually process these things 10, 15 times faster than you could. 00:04:30.320 --> 00:04:32.797 >> So what is the basic hindrance in the 00:04:32.880 --> 00:04:35.997 adaptation of of the of AI? 00:04:36.080 --> 00:04:39.997 >> Our adoption accelerates beyond our capacity. The The problem with adoption 00:04:40.080 --> 00:04:42.637 at this point is people have tried 00:04:42.720 --> 00:04:44.957 things that just can never work. 00:04:45.040 --> 00:04:47.077 Like by a large language model, you put 00:04:47.160 --> 00:04:49.917 it on your stack and you wonder why it's 00:04:50.000 --> 00:04:52.277 not working. And so what you're going to 00:04:52.360 --> 00:04:55.477 see, especially in America, is people 00:04:55.560 --> 00:05:00.197 trying to do something like what we do with Anthology maybe by hand because 00:05:00.280 --> 00:05:03.597 once you build a software layer to orchestrate and manage the large 00:05:03.680 --> 00:05:08.037 language models in in a language that your enterprise understands, you 00:05:08.120 --> 00:05:12.917 actually can create value. And again, if you go back to the battlefield context, 00:05:13.000 --> 00:05:16.277 like everybody in the world assumed this would not work. 00:05:16.360 --> 00:05:20.357 But now it does work. And so now the question isn't does it 00:05:20.440 --> 00:05:24.157 work, but it how can we get it to work for my country? And this is exactly 00:05:24.240 --> 00:05:25.957 what's happening in >> In companies. 00:05:26.040 --> 00:05:29.317 >> In companies. It's like, oh, this company it worked, mine didn't. What are 00:05:29.400 --> 00:05:33.317 you doing? >> How rapidly can AI 00:05:33.400 --> 00:05:36.557 change the growth trajectory? >> In a lot of these things there's a speed 00:05:36.640 --> 00:05:38.757 question. I think like with a lot of our 00:05:38.840 --> 00:05:41.677 companies we can take out 00:05:41.760 --> 00:05:44.557 in the area we go in up to 00:05:44.640 --> 00:05:49.197 80% of your cost and improve your top line dramatically. But it really depends 00:05:49.280 --> 00:05:51.117 on the use case and what we're doing. 00:05:51.200 --> 00:05:54.757 In the past, 5 years ago, that would take us a year. Now, it could take a week. 00:05:54.840 --> 00:05:58.957 >> Week, yeah. Is AI going to create jobs or destroy jobs overall? 00:05:59.040 --> 00:06:02.877 >> There are will be more than enough jobs for the citizens of your nation, 00:06:02.960 --> 00:06:07.037 especially those with vocational training. I do think these these trends 00:06:07.120 --> 00:06:10.917 really do make it hard to imagine why we should have large-scale immigration 00:06:11.000 --> 00:06:13.197 unless you have a very specialized skill. 00:06:13.280 --> 00:06:16.637 >> Are you also insinuating we're probably going to need less white-collar? 00:06:16.720 --> 00:06:18.157 >> You know, there are a lot of people 00:06:18.240 --> 00:06:21.117 doing X that should be doing Y. It's 00:06:21.200 --> 00:06:24.237 like just the person managing our Maven 00:06:24.320 --> 00:06:26.717 system in the US Army is a former police 00:06:26.800 --> 00:06:29.277 officer who I think went to a junior 00:06:29.360 --> 00:06:34.037 college. And they're doing very high-end, very complicated targeting 00:06:34.120 --> 00:06:38.277 globally. And that person actually is 00:06:38.360 --> 00:06:42.277 irreplaceable. And I think in the past, the way we 00:06:42.360 --> 00:06:44.157 tested for aptitude 00:06:44.240 --> 00:06:47.317 uh would not have fully exposed how 00:06:47.400 --> 00:06:49.437 irreplaceable that person's talents are. 00:06:49.520 --> 00:06:52.197 And would they been as talented if [clears throat] they had not gone to 00:06:52.280 --> 00:06:55.797 their college? Yes. If you look at inside Palantir, what am 00:06:55.880 --> 00:07:00.837 I really doing all day? I'm one walking around figuring out what is someone's 00:07:00.920 --> 00:07:04.757 outlier aptitude. And then I'm putting them on that thing 00:07:04.840 --> 00:07:08.317 and trying to get them to stay on that thing and not on the five other things 00:07:08.400 --> 00:07:10.637 they think they're great at. >> So, 00:07:10.720 --> 00:07:12.677 is AI going to create greater imbalance 00:07:12.760 --> 00:07:15.597 in our in our world in terms of growth? 00:07:15.680 --> 00:07:18.277 >> One way to look at the unfairness of AI 00:07:18.360 --> 00:07:21.517 is it pentests, meaning it load bears on 00:07:21.600 --> 00:07:25.797 things. So, societies that can and organizations and companies that can 00:07:25.880 --> 00:07:30.117 bear that load have a huge advantage. The problem is if 00:07:30.200 --> 00:07:34.357 you've been pretending you're bearing a load you're not, it collapses and that's 00:07:34.440 --> 00:07:36.557 where you have to start. And there's a 00:07:36.640 --> 00:07:39.557 certain honesty that is painful for all 00:07:39.640 --> 00:07:42.917 of us in in this technology. It you just 00:07:43.000 --> 00:07:45.317 cannot obfuscate what can bear the load 00:07:45.400 --> 00:07:50.037 and what can't. And then political structures are built to do just that. 00:07:50.120 --> 00:07:54.117 Like I can't fix anything, but I can give you some line that you 00:07:54.200 --> 00:07:57.797 want to hear that's going to make you not care about how bad your life is and 00:07:57.880 --> 00:07:59.757 how much worse it's going to be tomorrow. 00:07:59.840 --> 00:08:02.117 And the best thing you can do and you 00:08:02.200 --> 00:08:03.477 really care for the people you're 00:08:03.560 --> 00:08:07.197 representing is to say let's 00:08:07.280 --> 00:08:12.237 You have to kind of look closely at what what load we can bear. 00:08:12.320 --> 00:08:13.757 >> Thank you Alex. >> Thank you. 00:08:13.840 --> 00:08:17.200 >> everyone. >> [applause]