1 00:00:00,000 --> 00:00:04,879 Brace yourself. I'm going to show you an 2 00:00:02,640 --> 00:00:07,599 aesthetic catastrophe. 3 00:00:04,879 --> 00:00:10,000 It's the worst PowerPoint slide in human 4 00:00:07,599 --> 00:00:12,080 history. It was produced by the US 5 00:00:10,000 --> 00:00:13,839 military in 2010 to illustrate the 6 00:00:12,080 --> 00:00:16,480 difficulties they were facing during the 7 00:00:13,839 --> 00:00:19,039 war in Afghanistan. When the public got 8 00:00:16,480 --> 00:00:22,679 a hold of it, it became a case study for 9 00:00:19,039 --> 00:00:24,480 how not to do PowerPoint. This is actual 10 00:00:22,679 --> 00:00:27,000 slide of the Afghanistan [music] 11 00:00:24,480 --> 00:00:28,519 strategy last year and it was prepared 12 00:00:27,000 --> 00:00:30,600 by the staff to General Stanley 13 00:00:28,519 --> 00:00:31,640 McChrystal. Listen here, Thomas. 14 00:00:30,600 --> 00:00:32,320 We have met the enemy and he is 15 00:00:31,640 --> 00:00:34,719 PowerPoint. 16 00:00:32,320 --> 00:00:36,200 >> It was this incredibly complicated 17 00:00:34,719 --> 00:00:38,839 PowerPoint chart. 18 00:00:36,200 --> 00:00:40,840 >> Even the head of US forces at the time, 19 00:00:38,840 --> 00:00:43,880 General Stanley McChrystal, knew 20 00:00:40,840 --> 00:00:45,280 immediately how bad the slide was. When 21 00:00:43,880 --> 00:00:47,359 the staff brought this to McChrystal, 22 00:00:45,280 --> 00:00:49,320 this PowerPoint slide, he said, "When we 23 00:00:47,359 --> 00:00:51,960 understand that slide, we will have won 24 00:00:49,320 --> 00:00:54,119 the war." At the time, the US military's 25 00:00:51,960 --> 00:00:56,000 overuse of PowerPoint was an easy 26 00:00:54,119 --> 00:00:57,439 punchline for commanders when they were 27 00:00:56,000 --> 00:00:58,759 giving public speeches. 28 00:00:57,439 --> 00:01:00,879 >> It says in there that it is the 29 00:00:58,759 --> 00:01:03,000 inalienable right of every four-star 30 00:01:00,880 --> 00:01:05,239 Army general to use PowerPoint slides 31 00:01:03,000 --> 00:01:08,040 when communicating relying on only 32 00:01:05,239 --> 00:01:10,760 commander's intent, not detailed orders 33 00:01:08,040 --> 00:01:12,840 in multicolored PowerPoint format. 34 00:01:10,760 --> 00:01:14,960 Marine Corps General James Mattis was 35 00:01:12,840 --> 00:01:17,240 fond of saying, "PowerPoint makes us 36 00:01:14,959 --> 00:01:18,759 dumb." I have a friend who runs 37 00:01:17,239 --> 00:01:21,879 Microsoft, by the way, and he doesn't 38 00:01:18,760 --> 00:01:24,200 like it when I say that. 39 00:01:21,879 --> 00:01:27,359 10 years later, things hadn't improved 40 00:01:24,200 --> 00:01:29,520 much. Another Pentagon PowerPoint slide 41 00:01:27,359 --> 00:01:31,439 that showed the way different parts of 42 00:01:29,519 --> 00:01:34,759 the military were interconnected went 43 00:01:31,439 --> 00:01:36,840 viral in 2020. It also was an 44 00:01:34,760 --> 00:01:38,640 abomination of communication. But, 45 00:01:36,840 --> 00:01:41,000 there's a reason the US military kept 46 00:01:38,640 --> 00:01:42,879 spitting out these awful diagrams. They 47 00:01:41,000 --> 00:01:45,519 were in the midst of a decades-long 48 00:01:42,879 --> 00:01:47,159 battle to figure out how all the 49 00:01:45,519 --> 00:01:49,799 different parts of the armed forces 50 00:01:47,159 --> 00:01:51,799 could work together more efficiently. 51 00:01:49,799 --> 00:01:53,039 The interesting thing is, in the last 3 52 00:01:51,799 --> 00:01:55,959 years or so, 53 00:01:53,040 --> 00:01:58,400 it appears that one company has finally 54 00:01:55,959 --> 00:02:00,519 figured it all out. To maintain US and 55 00:01:58,400 --> 00:02:01,960 Western military superiority requires 56 00:02:00,519 --> 00:02:03,959 deliberate action and [music] 57 00:02:01,959 --> 00:02:05,919 technological innovation. 58 00:02:03,959 --> 00:02:07,559 At Palantir, we deliver secure, 59 00:02:05,920 --> 00:02:09,599 innovative, and scalable software 60 00:02:07,560 --> 00:02:11,280 solutions at speed. 61 00:02:09,599 --> 00:02:13,840 You might have heard of this company, 62 00:02:11,280 --> 00:02:16,080 Palantir. It seems to be the evil 63 00:02:13,840 --> 00:02:19,000 multinational corporation de jure. 64 00:02:16,080 --> 00:02:21,760 Largely secretive, Palantir specializes 65 00:02:19,000 --> 00:02:23,800 in the shadowy practice of data mining. 66 00:02:21,759 --> 00:02:26,120 For most of its existence, Palantir flew 67 00:02:23,800 --> 00:02:28,719 under the radar. It was an extremely 68 00:02:26,120 --> 00:02:31,000 obscure US defense contractor that few 69 00:02:28,719 --> 00:02:32,120 people outside the industry had ever 70 00:02:31,000 --> 00:02:33,919 heard of. 71 00:02:32,120 --> 00:02:36,000 But in the last few years, it's kind of 72 00:02:33,919 --> 00:02:39,000 been everywhere. So, what do you think 73 00:02:36,000 --> 00:02:41,680 your local Coles has in common with CIA? 74 00:02:39,000 --> 00:02:43,599 Well, they both use Palantir. Palantir 75 00:02:41,680 --> 00:02:47,000 has been the top-performing stock on the 76 00:02:43,599 --> 00:02:49,479 entire US stock market in 2025. Special 77 00:02:47,000 --> 00:02:52,159 thanks to our sponsor, Palantir. From 78 00:02:49,479 --> 00:02:54,359 the global war on terror to space domain 79 00:02:52,159 --> 00:02:56,479 awareness, Palantir continues to be a 80 00:02:54,360 --> 00:02:58,640 mission partner for the US and allied 81 00:02:56,479 --> 00:03:00,639 nations. These days, Palantir is 82 00:02:58,639 --> 00:03:02,479 involved in everything from retail to 83 00:03:00,639 --> 00:03:05,238 military operations to immigration 84 00:03:02,479 --> 00:03:06,479 enforcement. Up until recently, the CEO 85 00:03:05,239 --> 00:03:08,560 has tried to remain out of the 86 00:03:06,479 --> 00:03:11,000 spotlight, and perhaps that was for a 87 00:03:08,560 --> 00:03:12,680 good reason. Because since becoming more 88 00:03:11,000 --> 00:03:15,959 of a public figure, he's been saying 89 00:03:12,680 --> 00:03:19,777 things like this. We are at the core 90 00:03:15,959 --> 00:03:22,479 of making the obvious superiority of the 91 00:03:19,776 --> 00:03:25,479 [music] West. Our product is used on 92 00:03:22,479 --> 00:03:28,560 occasion to kill people. Okay-dokey. 93 00:03:25,479 --> 00:03:30,799 Despite its exponential growth in size 94 00:03:28,560 --> 00:03:33,360 and strategic significance, Palantir is 95 00:03:30,800 --> 00:03:35,200 still a bit of a mystery to most people. 96 00:03:33,360 --> 00:03:37,000 We're going to spend the next 2 weeks on 97 00:03:35,199 --> 00:03:39,639 this company, taking a look at 98 00:03:37,000 --> 00:03:41,840 Palantir's origin story, and how it's 99 00:03:39,639 --> 00:03:44,679 grown to be one of the biggest companies 100 00:03:41,840 --> 00:03:47,759 in the world. I'm Matt Bevan, 101 00:03:44,680 --> 00:03:47,760 and this is If You Listen. 102 00:03:49,560 --> 00:03:53,000 This story begins with a terrorist 103 00:03:51,039 --> 00:03:53,836 attack on the World Trade Center in New 104 00:03:53,000 --> 00:03:53,960 York City, 105 00:03:53,836 --> 00:03:56,799 >> [laughter] 106 00:03:53,960 --> 00:04:00,480 >> but not the one you're thinking of. This 107 00:03:56,800 --> 00:04:02,520 one happened in 1993. As New Yorkers 108 00:04:00,479 --> 00:04:05,239 came to terms with a possible act of 109 00:04:02,520 --> 00:04:06,800 terrorism on US soil, investigators 110 00:04:05,240 --> 00:04:09,240 released the first pictures of the 111 00:04:06,800 --> 00:04:11,760 explosion site, leaving little doubt 112 00:04:09,240 --> 00:04:12,959 that a powerful bomb was the most likely 113 00:04:11,759 --> 00:04:15,560 cause. 114 00:04:12,959 --> 00:04:17,920 A van packed with 550 kilos of 115 00:04:15,560 --> 00:04:19,759 explosives was driven into an 116 00:04:17,920 --> 00:04:21,920 underground car park of the World Trade 117 00:04:19,759 --> 00:04:23,480 Center. Now, the crater is 100 ft beyond 118 00:04:21,920 --> 00:04:25,720 where you're looking right now. It 119 00:04:23,480 --> 00:04:27,919 blasted a hole through three floors, 120 00:04:25,720 --> 00:04:30,040 killing six people instantly, and 121 00:04:27,918 --> 00:04:32,639 injuring hundreds more. 122 00:04:30,040 --> 00:04:35,600 For some time, it wasn't clear who was 123 00:04:32,639 --> 00:04:37,360 behind the attack. As many as 19 groups 124 00:04:35,600 --> 00:04:39,760 have claimed responsibility for the 125 00:04:37,360 --> 00:04:42,319 explosion, but the mystery of who really 126 00:04:39,759 --> 00:04:44,079 did it remains unsolved. 127 00:04:42,319 --> 00:04:46,680 One of the FBI agents involved in the 128 00:04:44,079 --> 00:04:49,159 investigation was John O'Neill. He'd 129 00:04:46,680 --> 00:04:50,959 always wanted to be in the FBI ever 130 00:04:49,160 --> 00:04:54,000 since he watched this imaginatively 131 00:04:50,959 --> 00:04:57,000 titled TV show back in the 1960s. The 132 00:04:54,000 --> 00:04:57,000 FBI 133 00:04:57,879 --> 00:05:03,079 A QM production. 134 00:05:00,399 --> 00:05:05,879 The people behind the 1993 attack were 135 00:05:03,079 --> 00:05:08,519 religious extremists from Pakistan, and 136 00:05:05,879 --> 00:05:10,360 John was instrumental in their capture. 137 00:05:08,519 --> 00:05:12,839 He became obsessed with researching 138 00:05:10,360 --> 00:05:14,600 Islamic extremism, and quickly became an 139 00:05:12,839 --> 00:05:17,759 expert on the growing threat of 140 00:05:14,600 --> 00:05:19,760 terrorism on American soil. 141 00:05:17,759 --> 00:05:21,199 As he continued rising through the ranks 142 00:05:19,759 --> 00:05:23,240 of the FBI's counterterrorism 143 00:05:21,199 --> 00:05:25,479 department, he was cognizant of the 144 00:05:23,240 --> 00:05:28,600 importance of balancing the need to keep 145 00:05:25,480 --> 00:05:30,720 people safe with the infringement on 146 00:05:28,600 --> 00:05:32,560 their personal privacy. If you have a 147 00:05:30,720 --> 00:05:34,320 lot of order, there is very little 148 00:05:32,560 --> 00:05:36,519 liberty. 149 00:05:34,319 --> 00:05:39,120 And if you have a lot of liberty, 150 00:05:36,519 --> 00:05:41,039 there tends to be less order. 151 00:05:39,120 --> 00:05:43,680 And this great experiment that we call 152 00:05:41,040 --> 00:05:46,439 the United States of America has a 153 00:05:43,680 --> 00:05:49,400 perfect blend of ordered liberty. 154 00:05:46,439 --> 00:05:51,319 Ordered liberty, a balance between 155 00:05:49,399 --> 00:05:52,679 government surveillance and individual 156 00:05:51,319 --> 00:05:54,560 freedom. 157 00:05:52,680 --> 00:05:56,680 In the US, the government surveillance 158 00:05:54,560 --> 00:05:58,319 side of the seesaw is populated by lots 159 00:05:56,680 --> 00:06:00,519 of different intelligence agencies. 160 00:05:58,319 --> 00:06:02,519 There's local police and the FBI keeping 161 00:06:00,519 --> 00:06:04,879 an eye on people domestically, 162 00:06:02,519 --> 00:06:07,479 and the CIA keeping tabs on potential 163 00:06:04,879 --> 00:06:10,560 threats abroad. But in the 1990s, that 164 00:06:07,480 --> 00:06:12,560 system had a serious flaw. 165 00:06:10,560 --> 00:06:15,240 Each of those agencies gathered their 166 00:06:12,560 --> 00:06:17,959 own data, but sharing data between them 167 00:06:15,240 --> 00:06:19,840 was complicated. To understand how bad 168 00:06:17,959 --> 00:06:22,759 the data sharing situation was, think 169 00:06:19,839 --> 00:06:25,399 about it like this. Imagine the CIA, 170 00:06:22,759 --> 00:06:27,759 FBI, and local police are represented by 171 00:06:25,399 --> 00:06:31,039 individual jars, and each piece of 172 00:06:27,759 --> 00:06:33,680 information they gather is a marble. 173 00:06:31,040 --> 00:06:35,600 Each agency handles its own marbles. If 174 00:06:33,680 --> 00:06:37,120 the FBI wants to check out the CIA's 175 00:06:35,600 --> 00:06:40,000 marbles, they have to go through a 176 00:06:37,120 --> 00:06:42,040 complicated process of requesting 177 00:06:40,000 --> 00:06:43,319 specific ones. They have to know what 178 00:06:42,040 --> 00:06:44,960 they're looking for. 179 00:06:43,319 --> 00:06:47,879 And as you can see, the opening of this 180 00:06:44,959 --> 00:06:51,000 CIA bottle is very narrow. It's not easy 181 00:06:47,879 --> 00:06:53,519 to get an individual marble out. 182 00:06:51,000 --> 00:06:55,519 As John O'Neill probed the World Trade 183 00:06:53,519 --> 00:06:58,680 Center attack of 1993, he became 184 00:06:55,519 --> 00:07:01,079 interested in one particular marble. 185 00:06:58,680 --> 00:07:03,439 One that most counterterrorism experts 186 00:07:01,079 --> 00:07:05,079 at the time weren't paying attention to. 187 00:07:03,439 --> 00:07:07,639 I think if you asked most terrorism 188 00:07:05,079 --> 00:07:10,000 experts in the mid-1990s, well, what 189 00:07:07,639 --> 00:07:12,199 about this man, bin Laden? 190 00:07:10,000 --> 00:07:15,279 Most people in the mid-1990s would have 191 00:07:12,199 --> 00:07:18,360 said, "Ah, yes, the financier, the 192 00:07:15,279 --> 00:07:20,599 terrorist financier." In 1998, ABC 193 00:07:18,360 --> 00:07:22,680 America reporter Chris Isham, a personal 194 00:07:20,600 --> 00:07:25,000 friend of John O'Neill, trekked for 10 195 00:07:22,680 --> 00:07:27,040 days across Pakistan to interview the 196 00:07:25,000 --> 00:07:30,759 leader of a little-known extremist group 197 00:07:27,040 --> 00:07:34,200 called Al-Qaeda, Osama bin Laden. 198 00:07:30,759 --> 00:07:36,399 He sat down, um, on this kind of 199 00:07:34,199 --> 00:07:38,839 bench covered in red fabric, and put a 200 00:07:36,399 --> 00:07:40,879 blanket kind of over his knee. It was 201 00:07:38,839 --> 00:07:43,039 like sitting at story time with an old 202 00:07:40,879 --> 00:07:46,365 uncle. But Chris Isham and his friend 203 00:07:43,040 --> 00:07:46,960 from the FBI 204 00:07:46,365 --> 00:07:48,960 >> [music] 205 00:07:46,959 --> 00:07:52,000 >> shared a growing interest in this old 206 00:07:48,959 --> 00:07:54,120 uncle in the Pakistani wilderness, who 207 00:07:52,000 --> 00:07:56,560 during the interview seemed pretty 208 00:07:54,120 --> 00:07:59,040 harmless. Bin Laden's handlers wouldn't 209 00:07:56,560 --> 00:08:02,040 allow anyone to translate the shake's 210 00:07:59,040 --> 00:08:04,160 answers. Miller didn't know what Bin 211 00:08:02,040 --> 00:08:07,400 Laden was saying, and the Al-Qaeda 212 00:08:04,160 --> 00:08:09,600 leader's monotonous, measured delivery 213 00:08:07,399 --> 00:08:10,879 was deceivingly calm. It was only when 214 00:08:09,600 --> 00:08:12,560 the interview was finished and the 215 00:08:10,879 --> 00:08:14,759 producers sent the tapes back to be 216 00:08:12,560 --> 00:08:17,480 translated that they learned what this 217 00:08:14,759 --> 00:08:19,480 seemingly harmless man was saying. We do 218 00:08:17,480 --> 00:08:22,040 not differentiate between those dressed 219 00:08:19,480 --> 00:08:24,600 in military uniforms and civilians. 220 00:08:22,040 --> 00:08:26,480 They are all targets. We predict a black 221 00:08:24,600 --> 00:08:29,040 day for America and the end of the 222 00:08:26,480 --> 00:08:31,560 United States. Hmm, maybe not as 223 00:08:29,040 --> 00:08:34,120 harmless as he seems. 224 00:08:31,560 --> 00:08:36,479 When he saw this interview, John O'Neill 225 00:08:34,120 --> 00:08:38,360 became fixated on Bin Laden. 226 00:08:36,479 --> 00:08:40,360 He was sure that the US was due for 227 00:08:38,360 --> 00:08:43,560 another domestic attack, and that Osama 228 00:08:40,360 --> 00:08:46,000 Bin Laden would be the person to do it. 229 00:08:43,559 --> 00:08:48,319 He tried hard to raise the alarm within 230 00:08:46,000 --> 00:08:49,639 the FBI, but it was outside of his 231 00:08:48,320 --> 00:08:51,040 remit. 232 00:08:49,639 --> 00:08:52,639 Chris Isham says that John started 233 00:08:51,039 --> 00:08:56,519 getting frustrated that he wasn't being 234 00:08:52,639 --> 00:08:59,600 taken seriously enough. He felt that the 235 00:08:56,519 --> 00:09:02,480 Saudis were definitely playing games and 236 00:08:59,600 --> 00:09:03,960 that that that the 237 00:09:02,480 --> 00:09:05,759 senior officials in the US government 238 00:09:03,960 --> 00:09:09,080 just didn't [music] get it. The problem 239 00:09:05,759 --> 00:09:11,240 was that John didn't have all the 240 00:09:09,080 --> 00:09:13,560 information. He couldn't see all the 241 00:09:11,240 --> 00:09:14,839 marbles. He could only look at the FBI's 242 00:09:13,559 --> 00:09:17,319 intelligence that they were gathering 243 00:09:14,839 --> 00:09:19,240 domestically, not the stuff the CIA was 244 00:09:17,320 --> 00:09:22,160 gathering in the Middle East. 245 00:09:19,240 --> 00:09:24,360 His frustration began to compound. John, 246 00:09:22,159 --> 00:09:26,399 because of his aggressive posture, his 247 00:09:24,360 --> 00:09:27,680 aggressive nature, 248 00:09:26,399 --> 00:09:30,159 his 249 00:09:27,679 --> 00:09:33,479 willingness to go forward 250 00:09:30,159 --> 00:09:35,879 when it may not be politically correct, 251 00:09:33,480 --> 00:09:37,399 I think a few people were just 252 00:09:35,879 --> 00:09:40,559 uncomfortable 253 00:09:37,399 --> 00:09:42,319 with John's aggressive style. In the FBI 254 00:09:40,559 --> 00:09:44,079 job which John had access to, there were 255 00:09:42,320 --> 00:09:46,960 a couple of concerning marbles. You can 256 00:09:44,080 --> 00:09:49,280 see those two little blue ones in here. 257 00:09:46,960 --> 00:09:51,360 One blue marble is that a man with known 258 00:09:49,279 --> 00:09:53,399 connections to extremist groups had 259 00:09:51,360 --> 00:09:55,360 recently been arrested by the FBI while 260 00:09:53,399 --> 00:09:57,039 attending a flight training school in 261 00:09:55,360 --> 00:09:59,399 Minnesota. 262 00:09:57,039 --> 00:10:01,759 They also had another blue marble 263 00:09:59,399 --> 00:10:04,199 that suggested a coordinated effort may 264 00:10:01,759 --> 00:10:06,639 be underway by Bin Laden to send people 265 00:10:04,200 --> 00:10:08,879 to the US [music] to obtain training 266 00:10:06,639 --> 00:10:10,679 after a number of suspicious people were 267 00:10:08,879 --> 00:10:12,399 seen attending flight schools in 268 00:10:10,679 --> 00:10:15,639 Arizona. 269 00:10:12,399 --> 00:10:19,600 Two very interesting blue marbles, but 270 00:10:15,639 --> 00:10:21,720 not enough to get the full picture. 271 00:10:19,600 --> 00:10:24,360 Unbeknownst to John, over at the CIA, 272 00:10:21,720 --> 00:10:25,920 they had more blue marbles. 273 00:10:24,360 --> 00:10:27,840 The CIA knew that a number of 274 00:10:25,919 --> 00:10:30,639 high-profile Al-Qaeda operatives were 275 00:10:27,840 --> 00:10:32,440 attending planning meetings in Malaysia 276 00:10:30,639 --> 00:10:33,919 and intended to travel to the United 277 00:10:32,440 --> 00:10:36,160 States. 278 00:10:33,919 --> 00:10:39,079 John O'Neill never saw all the marbles. 279 00:10:36,159 --> 00:10:41,279 In mid-2001, he left the FBI partially 280 00:10:39,080 --> 00:10:43,240 out of frustration and took a high-paid 281 00:10:41,279 --> 00:10:45,836 job in the private sector, head of 282 00:10:43,240 --> 00:10:46,000 security for the World Trade Center. 283 00:10:45,836 --> 00:10:49,200 >> [music] 284 00:10:46,000 --> 00:10:53,839 >> He died in the center's South Tower on 285 00:10:49,200 --> 00:10:57,080 September 11th, 2001, just 3 weeks into 286 00:10:53,839 --> 00:10:58,240 the job. The coincidence there is just 287 00:10:57,080 --> 00:10:59,120 unbelievable. You couldn't write You 288 00:10:58,240 --> 00:11:01,399 couldn't 289 00:10:59,120 --> 00:11:03,480 You know, write about it. I mean, that's 290 00:11:01,399 --> 00:11:06,519 from the guy that identified Osama bin 291 00:11:03,480 --> 00:11:08,360 Laden as a villain that he was 292 00:11:06,519 --> 00:11:09,319 and then the fact that 293 00:11:08,360 --> 00:11:11,519 that 294 00:11:09,320 --> 00:11:15,520 Osama bin Laden was able to kill him. 295 00:11:11,519 --> 00:11:15,519 It's It's just amazing. 296 00:11:15,879 --> 00:11:19,519 Now, if you were around back then, 297 00:11:18,279 --> 00:11:21,759 you'll remember that there was 298 00:11:19,519 --> 00:11:23,679 understandable concern that something 299 00:11:21,759 --> 00:11:25,439 like this might happen again. 300 00:11:23,679 --> 00:11:27,439 A lot of changes were made to try and 301 00:11:25,440 --> 00:11:28,839 make people feel safe from terror 302 00:11:27,440 --> 00:11:30,080 attacks. 303 00:11:28,839 --> 00:11:31,240 And a lot of those changes were quite 304 00:11:30,080 --> 00:11:33,879 annoying. 305 00:11:31,240 --> 00:11:35,360 The sort of sense I had was that uh the 306 00:11:33,879 --> 00:11:38,360 way we were going with just, you know, 307 00:11:35,360 --> 00:11:41,680 ridiculous airport security checks and 308 00:11:38,360 --> 00:11:43,519 uh super intrusive um surveillance all 309 00:11:41,679 --> 00:11:45,719 the time, you know, wasn't really making 310 00:11:43,519 --> 00:11:48,439 us safer. This is tech billionaire Peter 311 00:11:45,720 --> 00:11:50,360 Thiel, who has some complicated opinions 312 00:11:48,440 --> 00:11:52,000 about how the world should be run, which 313 00:11:50,360 --> 00:11:54,080 we'll get into in the next episode of 314 00:11:52,000 --> 00:11:55,120 our series. But, let's just say at this 315 00:11:54,080 --> 00:11:57,040 stage 316 00:11:55,120 --> 00:11:59,279 he wasn't a fan of the government trying 317 00:11:57,039 --> 00:12:02,120 to intrude into people's lives in the 318 00:11:59,279 --> 00:12:03,399 name of trying to stop terrorism. 319 00:12:02,120 --> 00:12:06,080 He was concerned that if there were 320 00:12:03,399 --> 00:12:07,720 another attack along the lines of 9/11, 321 00:12:06,080 --> 00:12:10,333 the government would try to become even 322 00:12:07,720 --> 00:12:12,080 more intrusive. If the World Trade 323 00:12:10,332 --> 00:12:14,480 [music] Center would erode civil 324 00:12:12,080 --> 00:12:15,560 liberties as much as it did in 2001, I 325 00:12:14,480 --> 00:12:17,159 didn't even want to think what would 326 00:12:15,559 --> 00:12:19,559 happen if you had another terrorist 327 00:12:17,159 --> 00:12:22,039 attack. And so, you have to prevent it 328 00:12:19,559 --> 00:12:24,439 to to stop to stop more erosion. He was 329 00:12:22,039 --> 00:12:26,959 more in favor of the liberty side of 330 00:12:24,440 --> 00:12:28,018 John O'Neill's ordered liberty seesaw. 331 00:12:26,960 --> 00:12:28,160 Could one 332 00:12:28,018 --> 00:12:31,480 >> [music] 333 00:12:28,159 --> 00:12:33,279 >> do something from a libertarian or civil 334 00:12:31,480 --> 00:12:35,639 liberties point of view [music] that 335 00:12:33,279 --> 00:12:37,838 would still be, you know, tough on 336 00:12:35,639 --> 00:12:40,960 terrorism? He and a friend named Alex 337 00:12:37,839 --> 00:12:42,360 Karp started focusing on the marbles. 338 00:12:40,960 --> 00:12:44,160 The government already had a lot of the 339 00:12:42,360 --> 00:12:46,360 information it needed to prevent terror 340 00:12:44,159 --> 00:12:47,668 attacks. It was just spread across all 341 00:12:46,360 --> 00:12:48,440 these different jars. 342 00:12:47,668 --> 00:12:50,080 >> [music] 343 00:12:48,440 --> 00:12:52,040 >> It wasn't using the information 344 00:12:50,080 --> 00:12:55,440 efficiently. Silicon Valley ought to be 345 00:12:52,039 --> 00:12:57,039 involved in in in fighting terrorism and 346 00:12:55,440 --> 00:12:58,839 protecting our civil liberties. Thiel 347 00:12:57,039 --> 00:13:01,279 and Karp founded a company called 348 00:12:58,839 --> 00:13:03,440 Palantir, named after Saruman's 349 00:13:01,279 --> 00:13:06,039 all-seeing glass ball from Lord of the 350 00:13:03,440 --> 00:13:07,600 Rings. A palantir is a dangerous tool, 351 00:13:06,039 --> 00:13:09,719 Saruman. 352 00:13:07,600 --> 00:13:12,279 Now, naming your nascent tech company 353 00:13:09,720 --> 00:13:13,839 after a tool used by the very bad guy 354 00:13:12,279 --> 00:13:15,679 trying to take over Middle-earth is an 355 00:13:13,839 --> 00:13:18,000 interesting decision, but we'll 356 00:13:15,679 --> 00:13:19,799 again, get to that a little bit later. 357 00:13:18,000 --> 00:13:21,919 As far as Alex Karp and Peter Thiel were 358 00:13:19,799 --> 00:13:24,599 concerned, the company was designed to 359 00:13:21,919 --> 00:13:27,199 break open all the jars of marbles, 360 00:13:24,600 --> 00:13:29,159 spill them out onto on surface, and make 361 00:13:27,200 --> 00:13:31,920 sense of whatever came out. It would 362 00:13:29,159 --> 00:13:33,399 allow humans to find needles in 363 00:13:31,919 --> 00:13:34,839 haystacks. So, make the data 364 00:13:33,399 --> 00:13:35,483 intelligible to you and me, which it's 365 00:13:34,840 --> 00:13:35,600 not. 366 00:13:35,484 --> 00:13:37,040 >> [music] 367 00:13:35,600 --> 00:13:39,320 >> And by doing that, it would allow them 368 00:13:37,039 --> 00:13:40,068 to find bad people trying to destroy our 369 00:13:39,320 --> 00:13:40,200 society 370 00:13:40,068 --> 00:13:42,399 >> [music] 371 00:13:40,200 --> 00:13:43,720 >> and could be used also to protect civil 372 00:13:42,399 --> 00:13:46,240 liberties by making the data sets 373 00:13:43,720 --> 00:13:48,560 transparent. Palantir's first investor 374 00:13:46,240 --> 00:13:50,519 was the CIA. 375 00:13:48,559 --> 00:13:52,919 It's been widely reported, though never 376 00:13:50,519 --> 00:13:55,399 officially confirmed, that in 2011 377 00:13:52,919 --> 00:13:57,519 Palantir played a key role in processing 378 00:13:55,399 --> 00:14:00,039 information which led to the killing of 379 00:13:57,519 --> 00:14:01,028 Osama bin Laden in his secret compound 380 00:14:00,039 --> 00:14:01,159 in Pakistan. 381 00:14:01,028 --> 00:14:03,799 >> [music] 382 00:14:01,159 --> 00:14:06,919 >> Palantir, uh, for example, effectively 383 00:14:03,799 --> 00:14:08,233 vectored Osama bin Laden's location. So, 384 00:14:06,919 --> 00:14:08,319 How exactly 385 00:14:08,234 --> 00:14:11,040 >> [music] 386 00:14:08,320 --> 00:14:12,600 >> does it work? 387 00:14:11,039 --> 00:14:15,719 For the first decade of Palantir's 388 00:14:12,600 --> 00:14:17,840 existence, basically nobody knew who 389 00:14:15,720 --> 00:14:19,840 they were or what they did. They didn't 390 00:14:17,840 --> 00:14:22,399 even start posting on social media until 391 00:14:19,840 --> 00:14:24,960 2015. A person can [music] see a pattern 392 00:14:22,399 --> 00:14:27,120 in a hundred things, but it's very hard 393 00:14:24,960 --> 00:14:29,280 for them to see a pattern in a million. 394 00:14:27,120 --> 00:14:31,240 The company embedded technical experts 395 00:14:29,279 --> 00:14:33,559 inside classified US intelligence 396 00:14:31,240 --> 00:14:35,600 operations and facilities, trying to 397 00:14:33,559 --> 00:14:38,199 access as many different information 398 00:14:35,600 --> 00:14:40,879 sources as possible and figure out how 399 00:14:38,200 --> 00:14:42,600 they relate to each other. Sticking with 400 00:14:40,879 --> 00:14:45,799 the [snorts] marble metaphor, it worked 401 00:14:42,600 --> 00:14:47,960 like this. Think of this plastic box as 402 00:14:45,799 --> 00:14:50,159 Palantir. 403 00:14:47,960 --> 00:14:52,280 Rather than everything being siloed in 404 00:14:50,159 --> 00:14:54,838 individual jars, Palantir had the 405 00:14:52,279 --> 00:14:57,480 capacity to empty all the marbles out 406 00:14:54,839 --> 00:14:57,480 like this. 407 00:14:57,919 --> 00:15:03,719 And then sort the marbles more logically 408 00:15:00,879 --> 00:15:06,639 and identify patterns 409 00:15:03,720 --> 00:15:09,800 and connections. So, it meant that the 410 00:15:06,639 --> 00:15:12,559 CIA marbles 411 00:15:09,799 --> 00:15:13,519 could be connected with the FBI marbles 412 00:15:12,559 --> 00:15:16,959 here. 413 00:15:13,519 --> 00:15:20,199 And it meant that the NSA marbles 414 00:15:16,960 --> 00:15:20,200 could be mixed in as well. 415 00:15:20,639 --> 00:15:25,439 Sorted, organized. Gee, they have a lot 416 00:15:23,039 --> 00:15:27,879 of marbles. Like really what it is is 417 00:15:25,440 --> 00:15:29,880 creating a unified view 418 00:15:27,879 --> 00:15:31,039 over lots of disparate data sources 419 00:15:29,879 --> 00:15:32,879 which don't otherwise make sense 420 00:15:31,039 --> 00:15:35,319 together. The reason they had so little 421 00:15:32,879 --> 00:15:37,960 public presence is that they really only 422 00:15:35,320 --> 00:15:39,560 had one customer, the US government. 423 00:15:37,960 --> 00:15:41,280 >> Fighting ISIS, stopping human 424 00:15:39,559 --> 00:15:43,159 trafficking, supporting money laundering 425 00:15:41,279 --> 00:15:45,919 investigations. Working with the special 426 00:15:43,159 --> 00:15:47,879 forces, law enforcement, the DOJ. 427 00:15:45,919 --> 00:15:50,279 According to their marketing, Palantir 428 00:15:47,879 --> 00:15:53,080 was all about organizing information in 429 00:15:50,279 --> 00:15:55,439 a way that humans would find more 430 00:15:53,080 --> 00:15:57,480 intuitive. Humans are incredible at 431 00:15:55,440 --> 00:15:59,000 insight. It's just surfacing the right 432 00:15:57,480 --> 00:16:01,039 information for them to see. They were 433 00:15:59,000 --> 00:16:03,279 effectively creating an enormous 434 00:16:01,039 --> 00:16:05,519 self-updating PowerPoint slide which 435 00:16:03,279 --> 00:16:06,919 could be used by humans 436 00:16:05,519 --> 00:16:09,000 to 437 00:16:06,919 --> 00:16:10,919 find patterns, 438 00:16:09,000 --> 00:16:13,480 find a pattern there, 439 00:16:10,919 --> 00:16:14,919 circle that, connect that, 440 00:16:13,480 --> 00:16:16,080 and kind of figure out what was really 441 00:16:14,919 --> 00:16:18,120 going on. 442 00:16:16,080 --> 00:16:19,879 Using Palantir software was like looking 443 00:16:18,120 --> 00:16:22,360 down on the world from above with 444 00:16:19,879 --> 00:16:25,120 information displayed on a large flat 445 00:16:22,360 --> 00:16:26,600 map that you could interact with. An ICE 446 00:16:25,120 --> 00:16:28,440 official said it's basically like a 447 00:16:26,600 --> 00:16:30,240 Google's map interface where you can 448 00:16:28,440 --> 00:16:32,400 look around the United States, you can 449 00:16:30,240 --> 00:16:34,519 zoom in on targets. You then click on an 450 00:16:32,399 --> 00:16:36,120 individual person and it brings up their 451 00:16:34,519 --> 00:16:37,519 name, a photo. 452 00:16:36,120 --> 00:16:39,159 >> We'll get into how it's being used for 453 00:16:37,519 --> 00:16:40,279 immigration enforcement in our next 454 00:16:39,159 --> 00:16:43,679 episode, but looking at it 455 00:16:40,279 --> 00:16:45,399 dispassionately, it's clearly impressive 456 00:16:43,679 --> 00:16:47,079 software. 457 00:16:45,399 --> 00:16:48,439 Way better than the PowerPoint 458 00:16:47,080 --> 00:16:49,400 nightmares they used to have to deal 459 00:16:48,440 --> 00:16:51,240 with. 460 00:16:49,399 --> 00:16:54,519 But programming these maps which 461 00:16:51,240 --> 00:16:57,639 Palantir calls the ontology was slow, 462 00:16:54,519 --> 00:17:00,879 painstaking work. It involved writing 463 00:16:57,639 --> 00:17:03,399 enormous amounts of code in incredibly 464 00:17:00,879 --> 00:17:05,599 complicated software. 465 00:17:03,399 --> 00:17:07,279 And talking to a lot of different people 466 00:17:05,599 --> 00:17:09,838 so that they didn't overemphasize the 467 00:17:07,279 --> 00:17:12,279 importance of one particular data source 468 00:17:09,838 --> 00:17:14,399 or ignore another one. 469 00:17:12,279 --> 00:17:17,199 It also didn't entirely solve the marble 470 00:17:14,400 --> 00:17:19,600 jar problem because each industry needed 471 00:17:17,199 --> 00:17:21,240 information laid out in different ways, 472 00:17:19,599 --> 00:17:23,679 the systems didn't talk to each other 473 00:17:21,240 --> 00:17:25,519 perfectly. For instance, Gotham, 474 00:17:23,680 --> 00:17:27,439 Palantir's military and law enforcement 475 00:17:25,519 --> 00:17:28,960 software, was different from its 476 00:17:27,439 --> 00:17:30,320 logistics software, which was called 477 00:17:28,960 --> 00:17:32,319 Foundry. 478 00:17:30,319 --> 00:17:34,839 But then something came along that put 479 00:17:32,319 --> 00:17:36,960 Palantir's marble sorting tech into 480 00:17:34,839 --> 00:17:40,079 hyperdrive. Let's start with this 481 00:17:36,960 --> 00:17:41,920 language AI chat GPT. 482 00:17:40,079 --> 00:17:44,319 What is it? 483 00:17:41,920 --> 00:17:45,640 Great question. In 2022, people were 484 00:17:44,319 --> 00:17:48,599 starting to get excited about the 485 00:17:45,640 --> 00:17:51,040 potential uses of large language models 486 00:17:48,599 --> 00:17:53,759 like chat GPT. It can create custom 487 00:17:51,039 --> 00:17:55,119 code. It can create entire books that 488 00:17:53,759 --> 00:17:57,559 are written from scratch that are not 489 00:17:55,119 --> 00:18:00,000 plagiarized. It can write essays. Wow, 490 00:17:57,559 --> 00:18:01,119 that really is amazing. But at Palantir, 491 00:18:00,000 --> 00:18:02,519 they were quickly coming to a 492 00:18:01,119 --> 00:18:05,119 realization. 493 00:18:02,519 --> 00:18:07,359 They'd been building software that was 494 00:18:05,119 --> 00:18:09,000 to be used by humans. 495 00:18:07,359 --> 00:18:11,599 But the way they'd built it was also 496 00:18:09,000 --> 00:18:13,240 perfect for large language models. We 497 00:18:11,599 --> 00:18:15,439 were pleasantly surprised to see how 498 00:18:13,240 --> 00:18:17,839 much the world we had been building for 499 00:18:15,440 --> 00:18:20,000 met its moment with LLMs. Palantir's 500 00:18:17,839 --> 00:18:23,159 chief technology officer, Shyam Sankar, 501 00:18:20,000 --> 00:18:24,799 said that LLMs, large language models, 502 00:18:23,160 --> 00:18:25,880 weren't just great at reading their data 503 00:18:24,799 --> 00:18:28,039 maps, 504 00:18:25,880 --> 00:18:29,720 but needed their data maps in order to 505 00:18:28,039 --> 00:18:31,960 be reliable. It's like, "Wow, you 506 00:18:29,720 --> 00:18:34,240 actually cannot unleash the value of an 507 00:18:31,960 --> 00:18:37,319 LLM without these things." They had, 508 00:18:34,240 --> 00:18:39,400 purely by luck, spent 20 years building 509 00:18:37,319 --> 00:18:41,960 a system that organized data in a way 510 00:18:39,400 --> 00:18:44,440 that could be intuitively read by the 511 00:18:41,960 --> 00:18:47,120 new wave of AI systems. 512 00:18:44,440 --> 00:18:49,720 And it was laid out in an ideal way for 513 00:18:47,119 --> 00:18:52,000 the AI system to produce reliable 514 00:18:49,720 --> 00:18:54,319 information. By January, it was quite 515 00:18:52,000 --> 00:18:56,640 obvious that we needed to tear up all 516 00:18:54,319 --> 00:18:58,480 our road maps and get excited about how 517 00:18:56,640 --> 00:19:00,360 we could incorporate LLMs into our 518 00:18:58,480 --> 00:19:02,160 software to provide a whole new series 519 00:19:00,359 --> 00:19:05,079 of experiences. They developed something 520 00:19:02,160 --> 00:19:07,279 called the Palantir AIP, which stands 521 00:19:05,079 --> 00:19:08,599 for artificial intelligence platform. 522 00:19:07,279 --> 00:19:10,799 AIP 523 00:19:08,599 --> 00:19:13,359 is your 524 00:19:10,799 --> 00:19:15,519 AI operating system. Now, individual 525 00:19:13,359 --> 00:19:18,359 users didn't need to look at the marble 526 00:19:15,519 --> 00:19:20,839 map at all. You can just use AIP, which 527 00:19:18,359 --> 00:19:23,639 sits on top of the marble map and looks 528 00:19:20,839 --> 00:19:24,720 at it for you, far faster than any human 529 00:19:23,640 --> 00:19:26,680 could. 530 00:19:24,720 --> 00:19:28,519 We start with a military operator 531 00:19:26,680 --> 00:19:29,720 responsible for monitoring activity 532 00:19:28,519 --> 00:19:31,920 within [music] Eastern Europe. 533 00:19:29,720 --> 00:19:32,640 >> To use it, all you have to do is ask it 534 00:19:31,920 --> 00:19:34,519 a question. 535 00:19:32,640 --> 00:19:36,840 >> What enemy units are in the region? 536 00:19:34,519 --> 00:19:39,240 >> The human operator can ask AIP in plain 537 00:19:36,839 --> 00:19:41,799 English to deploy surveillance drones. 538 00:19:39,240 --> 00:19:43,799 >> Task the MQ-9 to capture video of this 539 00:19:41,799 --> 00:19:46,399 location. The drone footage shows an 540 00:19:43,799 --> 00:19:48,039 enemy T-80 main battle tank. Then the 541 00:19:46,400 --> 00:19:49,960 operator can ask it to look at what 542 00:19:48,039 --> 00:19:52,039 options are available in the area to 543 00:19:49,960 --> 00:19:54,160 destroy that tank. Generate three 544 00:19:52,039 --> 00:19:56,079 courses of action to target this enemy 545 00:19:54,160 --> 00:19:58,120 equipment. Send these three options to 546 00:19:56,079 --> 00:20:00,439 my commander for review. Our commander 547 00:19:58,119 --> 00:20:03,000 selects a course of action. Approve 548 00:20:00,440 --> 00:20:05,279 course of action three. 549 00:20:03,000 --> 00:20:07,160 Until pretty recently, executing this 550 00:20:05,279 --> 00:20:09,559 kind of operation would have required 551 00:20:07,160 --> 00:20:11,400 big maps being rolled out on tables and 552 00:20:09,559 --> 00:20:13,879 little wooden figures pushed around on 553 00:20:11,400 --> 00:20:16,320 top, phone calls right up and down the 554 00:20:13,880 --> 00:20:18,680 chain of command. No man makes a perfect 555 00:20:16,319 --> 00:20:21,599 plan, Keith. AIP allows it all to be 556 00:20:18,680 --> 00:20:23,680 done as easily as asking ChatGPT to plan 557 00:20:21,599 --> 00:20:26,000 your holiday to Queensland. Of course, 558 00:20:23,680 --> 00:20:27,920 Matt. I can help you plan your holiday 559 00:20:26,000 --> 00:20:30,640 to Queensland. You're going to have such 560 00:20:27,920 --> 00:20:32,724 a great time. Not only can AI be used to 561 00:20:30,640 --> 00:20:32,840 operate the Palantir software, 562 00:20:32,723 --> 00:20:35,079 >> [music] 563 00:20:32,839 --> 00:20:37,039 >> it can also be used to design it. What 564 00:20:35,079 --> 00:20:39,000 once took software engineers years of 565 00:20:37,039 --> 00:20:41,240 observing operations and writing code 566 00:20:39,000 --> 00:20:44,039 now takes weeks. 567 00:20:41,240 --> 00:20:46,960 This rapid increase in efficiency meant 568 00:20:44,039 --> 00:20:49,559 that suddenly Palantir had a lot of 569 00:20:46,960 --> 00:20:52,559 extra time and resources on its hands. 570 00:20:49,559 --> 00:20:54,399 So, it started expanding. [music] 571 00:20:52,559 --> 00:20:55,879 Previously, pretty much only the US 572 00:20:54,400 --> 00:20:57,120 government could afford Palantir's 573 00:20:55,880 --> 00:21:00,040 services. [music] 574 00:20:57,119 --> 00:21:02,079 Now, it's getting into everything. 575 00:21:00,039 --> 00:21:03,839 ExxonMobil is adding powerful new 576 00:21:02,079 --> 00:21:04,720 features by partnering with Palantir 577 00:21:03,839 --> 00:21:06,128 Technologies. 578 00:21:04,720 --> 00:21:08,759 >> Today, we're in the world of customer 579 00:21:06,128 --> 00:21:09,480 [music] service focusing on AIP customer 580 00:21:08,759 --> 00:21:11,200 service engine. 581 00:21:09,480 --> 00:21:13,720 >> So, what do you think your local Coles 582 00:21:11,200 --> 00:21:16,000 has in common with the CIA? 583 00:21:13,720 --> 00:21:17,680 Well, they both use Palantir. With 584 00:21:16,000 --> 00:21:19,920 Palantir as the platform for making 585 00:21:17,680 --> 00:21:21,560 cricket the number one team bat and ball 586 00:21:19,920 --> 00:21:23,160 sport in [music] Europe. I have to say 587 00:21:21,559 --> 00:21:25,240 the European cricket network has got to 588 00:21:23,160 --> 00:21:27,080 be the most out of pocket of Palantir's 589 00:21:25,240 --> 00:21:28,400 clients. With our entrepreneurial 590 00:21:27,079 --> 00:21:30,480 intuition, we can now use [music] 591 00:21:28,400 --> 00:21:32,680 Palantir to ask the right questions of 592 00:21:30,480 --> 00:21:35,519 the data all in one place. Well, if they 593 00:21:32,680 --> 00:21:37,039 can sort out the FBI and CIA's marbles, 594 00:21:35,519 --> 00:21:38,759 they can probably handle the European 595 00:21:37,039 --> 00:21:41,920 cricket networks. 596 00:21:38,759 --> 00:21:43,879 This rapid expansion in clients made 597 00:21:41,920 --> 00:21:46,120 markets extremely excited about 598 00:21:43,880 --> 00:21:48,280 Palantir's potential future profits. 599 00:21:46,119 --> 00:21:50,359 >> stocks have moved pretty ferociously 600 00:21:48,279 --> 00:21:53,944 here um in the last couple of months. In 601 00:21:50,359 --> 00:21:58,399 2023, Palantir stock jumped 167% 602 00:21:53,944 --> 00:22:00,559 [music] in 2024, it jumped by 340%. 603 00:21:58,400 --> 00:22:02,460 I think there's a golden path right now 604 00:22:00,559 --> 00:22:02,519 for them to monetize 605 00:22:02,460 --> 00:22:03,640 >> [music] 606 00:22:02,519 --> 00:22:06,079 >> what we view as potentially a 607 00:22:03,640 --> 00:22:07,880 trillion-dollar market opportunity. It's 608 00:22:06,079 --> 00:22:10,240 become one of the fastest-growing 609 00:22:07,880 --> 00:22:11,800 companies on Earth with clients all over 610 00:22:10,240 --> 00:22:13,400 the world, including government 611 00:22:11,799 --> 00:22:14,680 contracts in lots of different 612 00:22:13,400 --> 00:22:16,519 countries. 613 00:22:14,680 --> 00:22:18,640 And it's basically just a glorified 614 00:22:16,519 --> 00:22:20,839 version of that PowerPoint slide General 615 00:22:18,640 --> 00:22:22,680 McChrystal was considering during the 616 00:22:20,839 --> 00:22:24,639 war in Afghanistan. 617 00:22:22,680 --> 00:22:26,960 It was designed to help keep the balance 618 00:22:24,640 --> 00:22:29,600 that FBI agent John O'Neill thought was 619 00:22:26,960 --> 00:22:30,840 so important. And this great experiment 620 00:22:29,599 --> 00:22:32,000 that we call the United States of 621 00:22:30,839 --> 00:22:35,159 America 622 00:22:32,000 --> 00:22:36,519 has a perfect blend of ordered liberty. 623 00:22:35,160 --> 00:22:38,920 He wanted to make sure that the seesaw 624 00:22:36,519 --> 00:22:41,039 didn't go too far one way or the other. 625 00:22:38,920 --> 00:22:43,279 If you have a lot of order, there is 626 00:22:41,039 --> 00:22:45,480 very little liberty. 627 00:22:43,279 --> 00:22:47,759 And if you have a lot of liberty, 628 00:22:45,480 --> 00:22:48,920 there tends to be less order. But a lot 629 00:22:47,759 --> 00:22:51,640 of people are starting to think that 630 00:22:48,920 --> 00:22:55,120 Palantir is tipping the balance towards 631 00:22:51,640 --> 00:22:58,080 order and away from liberty. Ladies and 632 00:22:55,119 --> 00:22:59,759 gentlemen, this is scary. This is us 633 00:22:58,079 --> 00:23:01,599 moving towards what China is doing to 634 00:22:59,759 --> 00:23:04,000 their citizens. People are really quite 635 00:23:01,599 --> 00:23:05,000 scared of this company. The Palantir 636 00:23:04,000 --> 00:23:07,640 surveillance state. 637 00:23:05,000 --> 00:23:09,559 >> Palantir is a definite CIA front 638 00:23:07,640 --> 00:23:11,520 company. There are more conspiracy 639 00:23:09,559 --> 00:23:13,679 theories swirling around about Palantir 640 00:23:11,519 --> 00:23:15,720 than any other Silicon Valley company. 641 00:23:13,680 --> 00:23:17,960 >> Peter Thiel and his company Palantir are 642 00:23:15,720 --> 00:23:20,240 some of the most evil forces on our 643 00:23:17,960 --> 00:23:20,759 planet conspiring against the American 644 00:23:20,240 --> 00:23:23,640 people. 645 00:23:20,759 --> 00:23:25,720 >> Palantir is like a surveillance and 646 00:23:23,640 --> 00:23:29,080 predictive policing firm. 647 00:23:25,720 --> 00:23:32,039 >> Palantir, an organization that is run 648 00:23:29,079 --> 00:23:33,919 also by a Zionist psychopath. And that's 649 00:23:32,039 --> 00:23:36,799 because even though it really is just a 650 00:23:33,920 --> 00:23:38,800 very fancy PowerPoint slide which makes 651 00:23:36,799 --> 00:23:40,639 intelligence, military, logistics, 652 00:23:38,799 --> 00:23:43,319 customer service, and cricketing 653 00:23:40,640 --> 00:23:46,520 operations more efficient, its leaders 654 00:23:43,319 --> 00:23:48,720 have decided to create a kind of weird 655 00:23:46,519 --> 00:23:50,480 public image. We have dedicated our 656 00:23:48,720 --> 00:23:51,720 company to the service of the West and 657 00:23:50,480 --> 00:23:54,000 the United States of [music] America. 658 00:23:51,720 --> 00:23:56,519 Palantir is here 659 00:23:54,000 --> 00:23:59,680 to disrupt and when it's necessary to 660 00:23:56,519 --> 00:24:02,359 scare enemies and on occasion kill them. 661 00:23:59,680 --> 00:24:03,640 And we hope you're in favor of that. So, 662 00:24:02,359 --> 00:24:06,559 I think it's important to spend some 663 00:24:03,640 --> 00:24:09,960 time talking about this guy, Alex Karp, 664 00:24:06,559 --> 00:24:12,079 and what he wants to do with his company 665 00:24:09,960 --> 00:24:13,319 that now controls so much of the world's 666 00:24:12,079 --> 00:24:14,960 data. 667 00:24:13,319 --> 00:24:16,480 But we're not going to do it today. 668 00:24:14,960 --> 00:24:18,960 We're going to spend our whole next 669 00:24:16,480 --> 00:24:22,480 episode on it. And we hope you're in 670 00:24:18,960 --> 00:24:22,480 favor of that. We'll see you then. 671 00:24:35,730 --> 00:24:37,751 >> [music]