1 00:00:10,160 --> 00:00:14,920 Speaker 1: Palenteer is here to disrupt and make are the institutions 2 00:00:14,920 --> 00:00:17,520 Speaker 1: we partner with the very best in the world, and 3 00:00:17,640 --> 00:00:22,360 Speaker 1: when it's necessary to scare enemies and on occasion kill them. 4 00:00:22,600 --> 00:00:25,240 Speaker 2: That was a recording from twenty twenty four of Alex Karp, 5 00:00:25,280 --> 00:00:28,360 Speaker 2: who's the CEO of a tech company called Palenteer, And 6 00:00:28,400 --> 00:00:31,360 Speaker 2: we'll come back to that clip later. But just who 7 00:00:31,520 --> 00:00:34,560 Speaker 2: are these enemies that his company wants to scare and 8 00:00:34,680 --> 00:00:38,440 Speaker 2: on occasion killed, and also what are the institutions that 9 00:00:38,560 --> 00:00:41,840 Speaker 2: Palenteer is partnering with to make that happen. That last 10 00:00:41,960 --> 00:00:45,120 Speaker 2: question has a lot of answers, but the most infamous 11 00:00:45,159 --> 00:00:48,720 Speaker 2: one right now would be Immigration and Customs Enforcement better 12 00:00:48,800 --> 00:00:49,800 Speaker 2: known as ICE. 13 00:00:50,640 --> 00:00:54,960 Speaker 3: ICE has a lot of new toys under the recent 14 00:00:55,200 --> 00:00:58,440 Speaker 3: Trump administration, but the biggest tools that I've been paying 15 00:00:58,480 --> 00:01:01,960 Speaker 3: attention to is how Polunteer is working with ICE in 16 00:01:02,000 --> 00:01:06,080 Speaker 3: the federal government to create new apps and systems to 17 00:01:06,160 --> 00:01:06,759 Speaker 3: track people. 18 00:01:07,120 --> 00:01:10,399 Speaker 2: Mechanic Kelly is a senior politics writer Wired, and recently 19 00:01:10,440 --> 00:01:13,720 Speaker 2: she's been reporting on ICE's activity and in particular how 20 00:01:13,720 --> 00:01:16,360 Speaker 2: it's being powered by technology from Palenteer. 21 00:01:16,800 --> 00:01:19,440 Speaker 3: So there's the work itself that Palenteer is doing and 22 00:01:19,480 --> 00:01:22,600 Speaker 3: then the pressure inside among people who maybe work on 23 00:01:22,760 --> 00:01:25,920 Speaker 3: defense contracts or work on more commercial things that are like, oh, 24 00:01:26,360 --> 00:01:29,280 Speaker 3: the tool I'm building is doing this too, I don't 25 00:01:29,360 --> 00:01:31,640 Speaker 3: like this, and like demanding more information. 26 00:01:32,040 --> 00:01:34,440 Speaker 2: Pallunteer has been around since the early two thousands, and 27 00:01:34,480 --> 00:01:37,000 Speaker 2: they used to keep their work pretty quiet, but they're 28 00:01:37,040 --> 00:01:41,160 Speaker 2: starting to flex a lot more publicly. Still, most people 29 00:01:41,280 --> 00:01:44,640 Speaker 2: don't know what they actually do, even inside the company. 30 00:01:44,640 --> 00:01:47,880 Speaker 2: Their own employees seem to not always know what's actually 31 00:01:47,880 --> 00:01:48,320 Speaker 2: going on. 32 00:01:49,120 --> 00:01:51,640 Speaker 3: Palenter is such a secretive company to begin with, but 33 00:01:51,720 --> 00:01:55,320 Speaker 3: the ice work has been, you know, an additional layer 34 00:01:55,520 --> 00:01:56,560 Speaker 3: of secrecy as well. 35 00:01:58,680 --> 00:02:01,520 Speaker 2: So that's what this episode about some of them. Mckennon's 36 00:02:01,560 --> 00:02:04,760 Speaker 2: new reporting and Wired has revealed more about Palenteers than 37 00:02:04,760 --> 00:02:13,200 Speaker 2: we ever knew before. I'm afraid Kaleidoscope and iHeart podcast. 38 00:02:12,639 --> 00:02:17,440 Speaker 2: This is kill Switch. I'm Dexter Thomas. 39 00:02:18,880 --> 00:02:56,240 Speaker 4: I'm sorry, I'm sorry, goodbye. 40 00:03:00,120 --> 00:03:04,120 Speaker 2: I think it's only recently that some of the wider 41 00:03:04,160 --> 00:03:09,160 Speaker 2: public has become even aware of the company Palatier, specifically 42 00:03:09,200 --> 00:03:12,600 Speaker 2: in connection to ice rays and things like that. What 43 00:03:12,800 --> 00:03:14,079 Speaker 2: even is Palatier? 44 00:03:14,880 --> 00:03:18,440 Speaker 3: Yeah, Palaenteer. If you're unfamiliar with the company, you might 45 00:03:18,480 --> 00:03:21,520 Speaker 3: be familiar with the name because if you can remember 46 00:03:21,880 --> 00:03:24,280 Speaker 3: the pal ANDEERI and the Lord of the Rings is 47 00:03:24,320 --> 00:03:27,560 Speaker 3: a ball and all seeing eye that actually in the 48 00:03:27,680 --> 00:03:31,760 Speaker 3: end corrupts the people who use it. Interesting tie in there, 49 00:03:32,880 --> 00:03:35,400 Speaker 3: but it's a company founded by Peter Teel and this 50 00:03:35,480 --> 00:03:38,960 Speaker 3: guy named Joe Lonsdale. There are these kind of more 51 00:03:39,680 --> 00:03:43,200 Speaker 3: right wing figures in Silicon Valley, and the company was 52 00:03:43,480 --> 00:03:47,440 Speaker 3: founded in the two thousands during the Bush administration and 53 00:03:47,520 --> 00:03:50,400 Speaker 3: kind of the expansion of the surveillance state that we saw, 54 00:03:50,520 --> 00:03:53,040 Speaker 3: you know, during the Iraq War and the creation of 55 00:03:53,080 --> 00:03:56,120 Speaker 3: homeland security. It kind of comes of this period, and 56 00:03:56,200 --> 00:03:58,760 Speaker 3: so Palentnteer has been working with government for a very 57 00:03:58,800 --> 00:04:01,880 Speaker 3: long time, but then also working in the commercial space 58 00:04:01,920 --> 00:04:02,320 Speaker 3: as well. 59 00:04:03,760 --> 00:04:06,440 Speaker 2: Peter Thiel has said that his concept for Palenteer was 60 00:04:06,480 --> 00:04:09,120 Speaker 2: to see if he could use paypals fraud detection software 61 00:04:09,200 --> 00:04:12,200 Speaker 2: to stop terrorist attacks. It took a while to really 62 00:04:12,200 --> 00:04:14,960 Speaker 2: get off the ground, but Palenteer got themselves a contract 63 00:04:14,960 --> 00:04:17,240 Speaker 2: with the US Department of Defense and they've been working 64 00:04:17,240 --> 00:04:19,760 Speaker 2: with the US Army since two thousand and eight. Some 65 00:04:20,080 --> 00:04:22,800 Speaker 2: of that work is public. For example, they've announced that 66 00:04:22,839 --> 00:04:26,080 Speaker 2: they developed drone navigation systems for the military, but a 67 00:04:26,160 --> 00:04:30,279 Speaker 2: lot about the company is kept secret. If you Google 68 00:04:30,680 --> 00:04:33,080 Speaker 2: or you search for Palaenteer, there's not a whole lot 69 00:04:33,080 --> 00:04:36,039 Speaker 2: of information. If you look at their YouTube account, for example, 70 00:04:36,080 --> 00:04:42,080 Speaker 2: their YouTube channel description just says software that dominates. I 71 00:04:42,080 --> 00:04:44,599 Speaker 2: don't know what I'm supposed to take from that, right, Like, 72 00:04:44,640 --> 00:04:45,279 Speaker 2: what do they do? 73 00:04:45,720 --> 00:04:47,960 Speaker 3: That is such a mystery to so many people. But 74 00:04:48,080 --> 00:04:52,200 Speaker 3: a lot of what Palunteer creates for customers is based 75 00:04:52,240 --> 00:04:56,240 Speaker 3: off of what it calls its foundry software, which is 76 00:04:56,480 --> 00:05:00,799 Speaker 3: kind of an extra powerful database that you can run 77 00:05:01,000 --> 00:05:04,680 Speaker 3: specific programs on top of and is able essentially to 78 00:05:04,760 --> 00:05:08,000 Speaker 3: combine data sources from a whole variety of different places 79 00:05:08,320 --> 00:05:11,279 Speaker 3: and help people sort and search through them more effectively. 80 00:05:11,320 --> 00:05:13,680 Speaker 3: And so we can see why, you know, an agency 81 00:05:13,800 --> 00:05:17,320 Speaker 3: like ICE would want something like that, trying to find 82 00:05:17,360 --> 00:05:21,599 Speaker 3: information about addresses of people potential undocumented immigrants, where they 83 00:05:21,720 --> 00:05:26,040 Speaker 3: are located, they're family members. And so what Palenteer does 84 00:05:26,080 --> 00:05:29,000 Speaker 3: really well and why we see it expanding across government 85 00:05:29,000 --> 00:05:32,080 Speaker 3: but also in the commercial sector as well, is that 86 00:05:32,200 --> 00:05:35,159 Speaker 3: it's able to connect to a lot of things sort them, 87 00:05:35,200 --> 00:05:36,279 Speaker 3: and that's really the power. 88 00:05:36,880 --> 00:05:40,880 Speaker 2: Yeah, I've seen it said that when somebody hires Palenteer, 89 00:05:40,960 --> 00:05:44,320 Speaker 2: contracts Palateer. It's not like they're buying a tool, it's 90 00:05:44,360 --> 00:05:49,240 Speaker 2: like they incorporate Palenteer into the DNA of that organization. 91 00:05:49,720 --> 00:05:52,480 Speaker 2: Does that sound like a good characterization of how it works. 92 00:05:52,800 --> 00:05:55,040 Speaker 3: Yeah. Palenteer is one of the first companies to come 93 00:05:55,080 --> 00:05:57,240 Speaker 3: up with the idea of what is now kind of 94 00:05:57,279 --> 00:06:00,000 Speaker 3: moving its way across the industry as the forward deploy 95 00:06:00,360 --> 00:06:04,000 Speaker 3: Engineer the FD, and that is a role where they 96 00:06:04,040 --> 00:06:07,800 Speaker 3: have a team of engineers who often are younger on 97 00:06:07,839 --> 00:06:11,159 Speaker 3: the younger side, coming out of college, and they place 98 00:06:11,320 --> 00:06:16,520 Speaker 3: them with clients, so say ICE or a hospital system 99 00:06:16,800 --> 00:06:19,640 Speaker 3: or something like that, and so they give them the tool, 100 00:06:19,720 --> 00:06:22,480 Speaker 3: the Foundry tool, but then they also provide them with 101 00:06:22,760 --> 00:06:26,240 Speaker 3: the labor and the expertise with the folks who are 102 00:06:26,279 --> 00:06:29,080 Speaker 3: trained in it to say, you have this issue, here's 103 00:06:29,120 --> 00:06:31,360 Speaker 3: how we can solve it and build, you know, a 104 00:06:31,400 --> 00:06:34,560 Speaker 3: program on top of Foundry or edit Foundry in a 105 00:06:34,600 --> 00:06:37,200 Speaker 3: specific way to make whatever job you're doing, you know, 106 00:06:37,240 --> 00:06:40,000 Speaker 3: make it easier and simplify it for you. And that's 107 00:06:40,040 --> 00:06:42,840 Speaker 3: really the power in the company and why people buy it. 108 00:06:43,200 --> 00:06:48,320 Speaker 3: The tool is kind of a basic database sorting data 109 00:06:48,320 --> 00:06:51,640 Speaker 3: storage system, but it's having that expertise which can be 110 00:06:51,760 --> 00:06:54,280 Speaker 3: in house that makes it so powerful in the end. 111 00:06:55,080 --> 00:07:00,480 Speaker 2: Right. So, I know, last April, Yellow Wired reports on 112 00:07:00,560 --> 00:07:05,320 Speaker 2: a thirty million dollar contract by ICE to Palenteer. First off, 113 00:07:05,320 --> 00:07:09,040 Speaker 2: that's a lot of money, but what does this contract entail? 114 00:07:09,720 --> 00:07:12,600 Speaker 3: Yeah, so that was the beginning of something called Immigration 115 00:07:13,120 --> 00:07:16,800 Speaker 3: OS OS of course standing for operating. 116 00:07:16,280 --> 00:07:20,080 Speaker 2: System Okay, yeah, like windows or macrows okay exactly. 117 00:07:20,160 --> 00:07:23,960 Speaker 3: And so immigration OS to me reads more like an 118 00:07:23,960 --> 00:07:28,480 Speaker 3: ecosystem that Palenteer is creating for ICE and DHS, and 119 00:07:28,560 --> 00:07:32,160 Speaker 3: in that ecosystem are a variety of tools. The first 120 00:07:32,160 --> 00:07:34,760 Speaker 3: one that we really kind of had more of an 121 00:07:34,800 --> 00:07:39,120 Speaker 3: idea of was its kind of logistics and tracking arm 122 00:07:39,400 --> 00:07:44,160 Speaker 3: of this ecosystem, which was focused on tracking self deportations. 123 00:07:44,440 --> 00:07:46,920 Speaker 3: So the beginning of the administration, there was a push 124 00:07:47,120 --> 00:07:50,119 Speaker 3: for this, like new app that came out called CBP Home, 125 00:07:50,240 --> 00:07:54,360 Speaker 3: so Customs and Border Patrol Home, which allows people living 126 00:07:54,400 --> 00:07:58,840 Speaker 3: within the borders who are undocumented to say, hey, I'll 127 00:07:58,920 --> 00:08:03,400 Speaker 3: leave and they'll self deport And so Palateer was brought 128 00:08:03,400 --> 00:08:06,920 Speaker 3: in to help track those self deportations. And so that 129 00:08:07,000 --> 00:08:09,440 Speaker 3: work has kind of grown into the bigger kind of 130 00:08:09,520 --> 00:08:12,240 Speaker 3: ecosystem project that we're starting to pull more details out 131 00:08:12,280 --> 00:08:12,680 Speaker 3: of now. 132 00:08:13,120 --> 00:08:16,520 Speaker 2: Yeah, the concept of something called immigration OS is Yeah, 133 00:08:16,600 --> 00:08:17,800 Speaker 2: first off, kind of nuts to me. 134 00:08:18,280 --> 00:08:21,520 Speaker 3: Also just sounds so Palenteer when you think about it, 135 00:08:21,800 --> 00:08:26,200 Speaker 3: what do you mean. It's so you have a problem immigration, 136 00:08:26,440 --> 00:08:29,040 Speaker 3: Here is the software to fix it. Right. It just 137 00:08:29,080 --> 00:08:32,920 Speaker 3: feels like so on par with how they market themselves. 138 00:08:33,200 --> 00:08:36,560 Speaker 3: And so what we've seen from that original kind of 139 00:08:36,679 --> 00:08:42,160 Speaker 3: self deportation function is what they've been doing on more 140 00:08:42,360 --> 00:08:43,760 Speaker 3: targeted tracking. 141 00:08:45,120 --> 00:08:49,720 Speaker 2: According to Wired's reporting, immigration OS involves three core functions. First, 142 00:08:49,800 --> 00:08:53,600 Speaker 2: there's the self deportation tracking that McKinnon just mentioned, and 143 00:08:53,640 --> 00:08:57,880 Speaker 2: then there's targeting and enforcement prioritization. That one is supposed 144 00:08:57,920 --> 00:09:02,800 Speaker 2: to streamline the quote selection and apprehension operations of illegal aliens. 145 00:09:03,960 --> 00:09:08,040 Speaker 2: And lastly, there's something called immigration life cycle Process, which 146 00:09:08,040 --> 00:09:11,760 Speaker 2: is basically making what they call deportation logistics more efficient. 147 00:09:12,400 --> 00:09:15,880 Speaker 2: So what exactly is the technology that's making this immigration 148 00:09:15,960 --> 00:09:19,600 Speaker 2: OS work, Well, we don't know, but we do know 149 00:09:19,720 --> 00:09:22,720 Speaker 2: that Palenteer has helped ICE build out databases of information 150 00:09:23,080 --> 00:09:28,000 Speaker 2: to help track down undocumented people in the US. So 151 00:09:28,360 --> 00:09:34,200 Speaker 2: there's a database I think called Investigative Case Management that 152 00:09:35,000 --> 00:09:37,920 Speaker 2: I think Palenteer created this, ICE is using it. What 153 00:09:37,920 --> 00:09:38,840 Speaker 2: do we know about this? 154 00:09:39,720 --> 00:09:42,240 Speaker 3: Yeah, I mean we don't know a lot about it. 155 00:09:42,480 --> 00:09:45,240 Speaker 3: These things are kept pretty quiet. 156 00:09:45,920 --> 00:09:46,200 Speaker 2: To me. 157 00:09:46,320 --> 00:09:48,680 Speaker 3: It kind of feels like it's just where a lot 158 00:09:48,720 --> 00:09:51,839 Speaker 3: of data is stored. When it comes to the type 159 00:09:51,880 --> 00:09:55,040 Speaker 3: of targets that ICE or DHS. 160 00:09:54,600 --> 00:09:58,160 Speaker 2: Is tracking, where do they get all this data from DHS? 161 00:09:58,480 --> 00:10:03,640 Speaker 3: From USCIS, people who enter the border oftentimes, i mean 162 00:10:03,760 --> 00:10:06,400 Speaker 3: always are required to hand over a lot of data 163 00:10:06,440 --> 00:10:08,480 Speaker 3: about themselves and that's given to DHS. 164 00:10:08,760 --> 00:10:10,160 Speaker 2: What sort of data are we talking about here? 165 00:10:10,240 --> 00:10:15,079 Speaker 3: Height, weight, Yeah, identifiable things like that, name, family, these 166 00:10:15,160 --> 00:10:18,600 Speaker 3: kinds of things. But what we've seen over the last 167 00:10:18,679 --> 00:10:22,440 Speaker 3: year is this demand for even more data than what 168 00:10:22,559 --> 00:10:26,320 Speaker 3: has been traditionally collected at the border. We've seen people 169 00:10:26,320 --> 00:10:29,040 Speaker 3: from DOJE and then also just government officials being asked 170 00:10:29,080 --> 00:10:33,600 Speaker 3: to handover data from the Socialecurity Administration so that's like 171 00:10:33,600 --> 00:10:38,000 Speaker 3: a Social Security number address anything there. And then also 172 00:10:38,040 --> 00:10:39,960 Speaker 3: the IRS. And I think the IRS is a really 173 00:10:39,960 --> 00:10:43,640 Speaker 3: important agency when it comes to connecting data because a 174 00:10:43,679 --> 00:10:46,440 Speaker 3: lot of times, even if you are an undocumented immigrant, 175 00:10:46,520 --> 00:10:49,439 Speaker 3: you file taxes, and every year when you file a 176 00:10:49,640 --> 00:10:52,760 Speaker 3: W two or whatever, tax file. The IRS often is 177 00:10:52,800 --> 00:10:54,800 Speaker 3: one of the agencies that has the most up to 178 00:10:54,920 --> 00:10:57,600 Speaker 3: date data on where you live, because you have to 179 00:10:57,640 --> 00:11:01,000 Speaker 3: file that whenever you start a new job. So I 180 00:11:01,040 --> 00:11:02,839 Speaker 3: mean for the last year, what we've seen is that 181 00:11:02,920 --> 00:11:05,560 Speaker 3: DHS thinks that the data that it has is maybe 182 00:11:05,640 --> 00:11:08,840 Speaker 3: insufficient for the mission that it has under Trump two, 183 00:11:09,000 --> 00:11:12,280 Speaker 3: and we've seen this kind of pressure for other agencies 184 00:11:12,320 --> 00:11:17,760 Speaker 3: to hand over what could be more accurate and sensitive data. 185 00:11:17,920 --> 00:11:20,480 Speaker 2: To be clear here, using data from the IRS, from 186 00:11:20,520 --> 00:11:23,120 Speaker 2: Social Security, and from other parts of the government to 187 00:11:23,200 --> 00:11:27,440 Speaker 2: track immigration is not allowed. It violates privacy rules meant 188 00:11:27,440 --> 00:11:31,600 Speaker 2: to protect taxpayer data, and yet in February, the IRS 189 00:11:31,640 --> 00:11:34,319 Speaker 2: said in the court filing that it had erroneously shared 190 00:11:34,400 --> 00:11:39,000 Speaker 2: data for thousands of taxpayers with DHS. McKinnon's article notes 191 00:11:39,040 --> 00:11:41,880 Speaker 2: that quote pulling data from outside sources, whether that be 192 00:11:41,960 --> 00:11:45,640 Speaker 2: from other agencies or commercially available third party data, would 193 00:11:45,679 --> 00:11:51,320 Speaker 2: expand DHS's ability to surveil migrants and citizens alike. Now 194 00:11:51,440 --> 00:11:54,439 Speaker 2: according to its internal wiki page, Palenteer says that it 195 00:11:54,559 --> 00:11:57,960 Speaker 2: quote does not in any way enable ICE personnel to 196 00:11:58,040 --> 00:12:01,960 Speaker 2: have direct or unfettered access to third agency databases or 197 00:12:02,040 --> 00:12:05,959 Speaker 2: data sets outside of those shared for specific operational purposes 198 00:12:06,160 --> 00:12:10,680 Speaker 2: within the bounds of established data sharing agreements, but Vallenteer 199 00:12:10,840 --> 00:12:13,440 Speaker 2: also says that quote, we do not take the position 200 00:12:13,640 --> 00:12:16,679 Speaker 2: of policing the use of our platform for every workflow. 201 00:12:17,200 --> 00:12:20,480 Speaker 2: So we don't know exactly what data ICE is using 202 00:12:20,679 --> 00:12:23,000 Speaker 2: or how they're using it. But there's a video that's 203 00:12:23,000 --> 00:12:26,280 Speaker 2: gone viral recently that appears to show an ICE officer 204 00:12:26,440 --> 00:12:28,920 Speaker 2: referencing some kind of database. 205 00:12:30,440 --> 00:12:34,160 Speaker 3: So there's a ICE agent who is taking images of 206 00:12:34,200 --> 00:12:37,360 Speaker 3: what looks like an observer's vehicle, and she asks him. 207 00:12:37,400 --> 00:12:39,200 Speaker 3: It's like, what are you doing? Why are you taking 208 00:12:39,240 --> 00:12:39,920 Speaker 3: these images? 209 00:12:40,880 --> 00:12:44,480 Speaker 2: It's not illegal to record exactly. 210 00:12:44,559 --> 00:12:45,600 Speaker 5: Yeah, that's what we're doing. 211 00:12:45,679 --> 00:12:47,120 Speaker 3: Yeah, why are you taking my information? 212 00:12:47,200 --> 00:12:49,720 Speaker 2: Dollar because we have a nice little database. Oh good, 213 00:12:50,080 --> 00:12:55,320 Speaker 2: Now you're considered domestic terrorists, so we're video tapping you. 214 00:12:56,640 --> 00:12:58,280 Speaker 3: Are you crazy? 215 00:13:00,080 --> 00:13:03,520 Speaker 2: Wired asked Palenteer if their software powered the database that 216 00:13:03,600 --> 00:13:07,480 Speaker 2: you just heard referenced in that video. Palenteer did not respond. 217 00:13:08,120 --> 00:13:10,240 Speaker 3: There has not been a lot of information that has 218 00:13:10,280 --> 00:13:15,320 Speaker 3: come out about like what that database is, who operates it, 219 00:13:15,440 --> 00:13:20,520 Speaker 3: what kind of data they're collecting, and why. Earlier in February, 220 00:13:20,559 --> 00:13:24,559 Speaker 3: there was a hearing with Home in security officials in Congress, 221 00:13:24,720 --> 00:13:26,440 Speaker 3: and one of the officials just straight ups that we 222 00:13:26,480 --> 00:13:30,480 Speaker 3: don't have this database. Okay, then why is this agent 223 00:13:30,480 --> 00:13:33,040 Speaker 3: in the field trying to collect information for it? 224 00:13:35,080 --> 00:13:38,360 Speaker 2: Finding out information about the database has proved challenging, but 225 00:13:38,559 --> 00:13:41,800 Speaker 2: McKenna and other reporters have managed to uncover some sense 226 00:13:41,840 --> 00:13:45,400 Speaker 2: of what Palenteer is developing for ICE, and the capabilities 227 00:13:45,400 --> 00:13:48,719 Speaker 2: of that go beyond anything you might expect. We'll get 228 00:13:48,760 --> 00:14:01,880 Speaker 2: into that after the break. A lot of poalunteers immigration 229 00:14:01,960 --> 00:14:04,400 Speaker 2: OS work has been kept vague, but there are some 230 00:14:04,520 --> 00:14:07,200 Speaker 2: specific tools made by Poundteer that we do know that 231 00:14:07,240 --> 00:14:10,320 Speaker 2: ICE is using. One of these is called ELITE, which 232 00:14:10,360 --> 00:14:14,400 Speaker 2: stands for Enhanced Leads, Identification and Targeting for Enforcement. 233 00:14:15,400 --> 00:14:18,800 Speaker 3: What has been kind of the most controversial thing that 234 00:14:18,840 --> 00:14:22,880 Speaker 3: Pollunteer has been doing is developing this tool called ELITE, 235 00:14:23,600 --> 00:14:26,520 Speaker 3: which is an app that I think at least a 236 00:14:26,520 --> 00:14:31,560 Speaker 3: couple hundred agents are using on the ground. Basically, it's 237 00:14:31,600 --> 00:14:35,080 Speaker 3: like any map app you have on your phone, open 238 00:14:35,120 --> 00:14:37,280 Speaker 3: it up, and then it would like instead of populating 239 00:14:37,360 --> 00:14:40,160 Speaker 3: I don't know, searching for nearby restaurants or coffee shops 240 00:14:40,200 --> 00:14:43,880 Speaker 3: like you and me probably do, it instead populates dense 241 00:14:43,920 --> 00:14:46,600 Speaker 3: areas of what they suspect to be undocumented immigrants based 242 00:14:46,640 --> 00:14:50,080 Speaker 3: on data that the agency has, so then they can 243 00:14:50,160 --> 00:14:54,440 Speaker 3: search in specific areas trying to make apprehensions. And that 244 00:14:54,600 --> 00:14:57,000 Speaker 3: is probably the most detailed that we have like that product, 245 00:14:57,080 --> 00:15:00,000 Speaker 3: specifically because of four or four Media and other reports. 246 00:15:00,920 --> 00:15:03,320 Speaker 2: Four to four Media reported on Elite earlier this year, 247 00:15:03,360 --> 00:15:05,480 Speaker 2: and it's the most information we have to date on 248 00:15:05,600 --> 00:15:09,000 Speaker 2: Palenteer's work with ICE. According to their reporting, Elite can 249 00:15:09,040 --> 00:15:12,400 Speaker 2: populate a map with potential targets for deportation. It can 250 00:15:12,440 --> 00:15:15,240 Speaker 2: even bring up a dossier for each individual and provide 251 00:15:15,280 --> 00:15:18,600 Speaker 2: a confidence score on their listed address. And this data 252 00:15:18,680 --> 00:15:21,040 Speaker 2: is pulled from sources including the Department of Health and 253 00:15:21,120 --> 00:15:25,240 Speaker 2: Human Services. But beyond all this direct work with ICE, 254 00:15:25,480 --> 00:15:28,040 Speaker 2: McKinnon is also found that Palenteers starting to work with 255 00:15:28,120 --> 00:15:31,720 Speaker 2: another immigration agency, one that handles immigration benefits for people 256 00:15:31,760 --> 00:15:38,600 Speaker 2: who immigrate lawfully US Customs and Immigration Services, or USCIS, and. 257 00:15:38,600 --> 00:15:43,640 Speaker 3: They're working with USCIS on a pilot defined fraudulent benefits 258 00:15:43,640 --> 00:15:47,240 Speaker 3: submissions from folks who are trying to become citizens in 259 00:15:47,280 --> 00:15:49,720 Speaker 3: this country. And if you'll remember from the last couple 260 00:15:49,760 --> 00:15:54,680 Speaker 3: of months, fraud has really been used as kind of 261 00:15:54,760 --> 00:15:59,200 Speaker 3: the justification for ICE searches. There was a Nick Shirley 262 00:15:59,280 --> 00:16:03,440 Speaker 3: video in Many, this right wing YouTuber knocking on doors 263 00:16:03,600 --> 00:16:07,400 Speaker 3: asking to see the children at childcare centers. And when 264 00:16:07,400 --> 00:16:09,720 Speaker 3: that video got published, it got boosted by Elon Musk, 265 00:16:09,760 --> 00:16:11,920 Speaker 3: it got boosted by Jade Bans, it got boosted by 266 00:16:11,920 --> 00:16:14,200 Speaker 3: so many people, and then just like a week and 267 00:16:14,240 --> 00:16:18,160 Speaker 3: a half, two weeks later, thousands of ICE ations in Minneapolis. 268 00:16:17,840 --> 00:16:20,360 Speaker 2: And we know exactly what happened after that exactly. 269 00:16:20,480 --> 00:16:24,840 Speaker 3: And so now it seems at least Palenteer is trying 270 00:16:24,840 --> 00:16:28,920 Speaker 3: to get into that fraud part of immigration as well, 271 00:16:29,200 --> 00:16:31,160 Speaker 3: which is a wild thing to be, you know, having 272 00:16:31,200 --> 00:16:33,080 Speaker 3: to compare on my head right now, because those things 273 00:16:33,080 --> 00:16:35,760 Speaker 3: are should be totally separate things that when I talked 274 00:16:35,800 --> 00:16:38,440 Speaker 3: to a senior White House official about this earlier about 275 00:16:38,480 --> 00:16:43,080 Speaker 3: how like fraud and immigration are cussed together, what they 276 00:16:43,120 --> 00:16:45,480 Speaker 3: told me was, well, if they are illegals, they're going 277 00:16:45,480 --> 00:16:48,640 Speaker 3: to get deported. If illegals are during fraud, they're getting deported. 278 00:16:48,800 --> 00:16:51,400 Speaker 3: And that's kind of the thinking from the higher levels 279 00:16:51,400 --> 00:16:51,960 Speaker 3: of the White House. 280 00:16:51,960 --> 00:16:54,880 Speaker 2: At least Palenteer has their hands in a lot of 281 00:16:54,880 --> 00:16:57,880 Speaker 2: different aspects of the government and their involvement only seems 282 00:16:57,920 --> 00:17:00,320 Speaker 2: to be growing. According to reporting from the Hill, in 283 00:17:00,360 --> 00:17:03,280 Speaker 2: the last year alone, they got over nine hundred million 284 00:17:03,400 --> 00:17:05,000 Speaker 2: dollars in federal contracts. 285 00:17:05,560 --> 00:17:09,000 Speaker 3: From my reporting recently, it does seem that Palnteer is 286 00:17:09,040 --> 00:17:12,879 Speaker 3: eager to expand those contracts. These past couple months have 287 00:17:12,960 --> 00:17:16,680 Speaker 3: been primarily what the company has referred to as pilot 288 00:17:17,000 --> 00:17:19,720 Speaker 3: periods to kind of test out how the relationship works, 289 00:17:19,880 --> 00:17:22,520 Speaker 3: what tools they're able to do, and if the administration 290 00:17:22,640 --> 00:17:25,320 Speaker 3: wants to expand those contracts later on. And so right 291 00:17:25,359 --> 00:17:27,199 Speaker 3: now we're kind of coming towards the end of this 292 00:17:27,359 --> 00:17:30,320 Speaker 3: pilot period and we'll get to see whether or not 293 00:17:30,400 --> 00:17:33,880 Speaker 3: Palunteer is renewed for another contract or their power gets 294 00:17:33,920 --> 00:17:35,000 Speaker 3: expanded in the government. 295 00:17:35,760 --> 00:17:37,679 Speaker 2: What is the sense right now? Is this going to 296 00:17:37,680 --> 00:17:39,199 Speaker 2: be renewed? Are they going to get more money for this? 297 00:17:40,000 --> 00:17:42,479 Speaker 3: I think so it seems like the company is really eager, 298 00:17:42,720 --> 00:17:45,240 Speaker 3: and it seems to be from court documents that we've 299 00:17:45,280 --> 00:17:48,040 Speaker 3: seen about ICE agents using this, it's been a valuable 300 00:17:48,280 --> 00:17:52,439 Speaker 3: tool for them and it's been, you know, such a 301 00:17:52,520 --> 00:17:56,840 Speaker 3: priority amongst senior leadership. A Palateer. We saw CEO Alex 302 00:17:56,920 --> 00:17:59,280 Speaker 3: Karp at the Deal Books some New York Times deal 303 00:17:59,280 --> 00:18:01,159 Speaker 3: boks some at last year, who's like, we're going to 304 00:18:01,240 --> 00:18:02,840 Speaker 3: do this work. You know, it's part of us in 305 00:18:02,960 --> 00:18:05,719 Speaker 3: building Western power, and all this kind of you know, 306 00:18:06,840 --> 00:18:11,480 Speaker 3: often intra level to philosophy course thinking that Alex carp 307 00:18:11,480 --> 00:18:13,840 Speaker 3: always is like talking about in public. 308 00:18:14,440 --> 00:18:21,200 Speaker 6: I do believe that, you know, America and strong individuals, 309 00:18:21,880 --> 00:18:27,280 Speaker 6: realistic individuals recognize you are largely on your own. And 310 00:18:27,440 --> 00:18:30,560 Speaker 6: the more you recognize that, the better we will be 311 00:18:30,600 --> 00:18:31,920 Speaker 6: as a society. 312 00:18:31,440 --> 00:18:32,240 Speaker 2: In the world. 313 00:18:32,640 --> 00:18:34,880 Speaker 6: And that's why I'm very skeptical of like all these 314 00:18:34,960 --> 00:18:38,280 Speaker 6: like you know, international whatever. It's all a way of 315 00:18:38,359 --> 00:18:42,600 Speaker 6: curtailing and constraining the obvious fact that some cultures are superior. 316 00:18:42,960 --> 00:18:47,320 Speaker 6: We live in the superior culture, as culture that defends 317 00:18:47,359 --> 00:18:49,879 Speaker 6: our right to argue, defends our right to back that 318 00:18:50,000 --> 00:18:52,720 Speaker 6: up with arms, defends our right to privacy. So the 319 00:18:52,800 --> 00:18:56,800 Speaker 6: first second and fourth Amendment, I believe Palentier and I 320 00:18:56,840 --> 00:18:59,760 Speaker 6: are fully aligned with the first second and fourth Amendment. 321 00:19:00,080 --> 00:19:02,280 Speaker 6: We are fighting for what we believe, and we're putting 322 00:19:02,320 --> 00:19:04,199 Speaker 6: in a product to give the people that agree with 323 00:19:04,280 --> 00:19:05,520 Speaker 6: us a superior position. 324 00:19:05,960 --> 00:19:08,080 Speaker 3: But that's like part of the vision of the company, right, 325 00:19:08,160 --> 00:19:11,720 Speaker 3: and he sees immigration enforcement as that kind of building 326 00:19:11,800 --> 00:19:16,439 Speaker 3: and maintaining Western power. However, he kind of vaguely defines it. 327 00:19:16,880 --> 00:19:18,080 Speaker 6: I care about two issues. 328 00:19:18,440 --> 00:19:23,359 Speaker 7: I care about immigration and re establishing the deterrent capacity 329 00:19:23,359 --> 00:19:27,639 Speaker 7: of America without being a colonious neocon view. And on 330 00:19:27,720 --> 00:19:31,640 Speaker 7: those two issues, those two issues, this president has performed 331 00:19:32,000 --> 00:19:33,400 Speaker 7: and those are the two issues I care about. 332 00:19:33,920 --> 00:19:37,359 Speaker 2: Again, that's Pallenteer CEO Alex Karp at the Deal Book Summit, 333 00:19:37,600 --> 00:19:41,439 Speaker 2: defending why he's supportive of Trump, but he didn't always 334 00:19:41,480 --> 00:19:42,160 Speaker 2: feel that way. 335 00:19:42,720 --> 00:19:45,840 Speaker 5: I've had the rare opportunity to meet Trump. 336 00:19:46,200 --> 00:19:48,119 Speaker 2: Here he is in a recorded staff meeting back in 337 00:19:48,160 --> 00:19:51,359 Speaker 2: twenty fifteen that leaked to BuzzFeed a couple years later. 338 00:19:51,880 --> 00:19:53,879 Speaker 5: Which I turned down, like I don't I mean, this 339 00:19:54,000 --> 00:19:56,479 Speaker 5: is off the record, but like I don't respect, Like 340 00:19:56,760 --> 00:19:59,240 Speaker 5: I respect nothing about the dude. Like you could almost 341 00:19:59,520 --> 00:20:01,760 Speaker 5: make up someone that I find I know, it is 342 00:20:01,920 --> 00:20:03,720 Speaker 5: hard to make up someone I find less appealing. 343 00:20:04,440 --> 00:20:07,480 Speaker 2: In that same video, Alex Karp said that Trump's deportation 344 00:20:07,600 --> 00:20:10,919 Speaker 2: plan quote makes no sense and quote is bringing up 345 00:20:10,960 --> 00:20:14,640 Speaker 2: the worst the society can bring up. But that was then. 346 00:20:15,760 --> 00:20:17,000 Speaker 2: Things have obviously. 347 00:20:16,640 --> 00:20:23,600 Speaker 3: Changed recently, Alex Carp did a pre recorded conversation. It 348 00:20:23,680 --> 00:20:28,240 Speaker 3: was on a Friday in early February, and in that call, 349 00:20:28,720 --> 00:20:32,600 Speaker 3: Karp says that they're really not in the business of 350 00:20:32,720 --> 00:20:36,840 Speaker 3: changing their policies per each administration. And then he kind 351 00:20:36,880 --> 00:20:40,840 Speaker 3: of harkens back to this speech that Obama made in 352 00:20:40,880 --> 00:20:42,840 Speaker 3: like twenty fourteen where he says, we are a nation 353 00:20:42,880 --> 00:20:45,800 Speaker 3: of immigrants, and we're also a nation of laws. And 354 00:20:45,880 --> 00:20:49,119 Speaker 3: so to Palenteer, or at least senior leadership ap Palenteer, 355 00:20:49,520 --> 00:20:53,720 Speaker 3: what they do is a function of helping enforce laws 356 00:20:53,720 --> 00:20:56,639 Speaker 3: on the books. And I think their understanding, right is 357 00:20:56,680 --> 00:21:01,840 Speaker 3: that we are part of the good guys here removing 358 00:21:02,600 --> 00:21:07,520 Speaker 3: criminals from our country. That's how senior leadership often sees it, 359 00:21:07,680 --> 00:21:10,280 Speaker 3: but I don't know if that's you know, how everyone 360 00:21:10,600 --> 00:21:11,919 Speaker 3: at least in the company sees it. 361 00:21:13,520 --> 00:21:17,080 Speaker 2: After the break, Palenteers employees start asking questions about what 362 00:21:17,119 --> 00:21:20,240 Speaker 2: it is exactly they're doing, and the company's slack channel 363 00:21:20,400 --> 00:21:32,960 Speaker 2: starts getting heated. As the presence of ICE is intensified 364 00:21:33,000 --> 00:21:37,240 Speaker 2: over the past several months. Inside Palenteer, employees are starting 365 00:21:37,280 --> 00:21:40,960 Speaker 2: to question their company's involvement, and apparently when it comes 366 00:21:40,960 --> 00:21:44,200 Speaker 2: to what Palenteer is actually doing, with ice. These employees 367 00:21:44,320 --> 00:21:46,960 Speaker 2: know almost as little as the public does. 368 00:21:47,200 --> 00:21:49,120 Speaker 3: Right now, just from the recording that I've done so far, 369 00:21:49,160 --> 00:21:52,520 Speaker 3: there's been a little bit more internal pressure from workers 370 00:21:52,840 --> 00:21:55,600 Speaker 3: at the company who are concerned about these capabilities and 371 00:21:55,640 --> 00:21:59,000 Speaker 3: want more information and the transparency within the company. Right 372 00:21:59,040 --> 00:22:01,399 Speaker 3: for people who work for Alanteer, has it been great? 373 00:22:02,040 --> 00:22:04,840 Speaker 3: Like from workers that I've spoken to, they really only 374 00:22:04,880 --> 00:22:08,040 Speaker 3: found out information about what the company is doing with 375 00:22:08,119 --> 00:22:13,320 Speaker 3: ice by public reporting. Really yeah, And recently in the 376 00:22:13,720 --> 00:22:16,920 Speaker 3: call that I was referencing earlier, Karp at the end 377 00:22:17,000 --> 00:22:19,240 Speaker 3: he kind of says, if you want more intimate details 378 00:22:19,280 --> 00:22:22,040 Speaker 3: on what we're doing, you'll need to sign an NDA 379 00:22:22,160 --> 00:22:24,760 Speaker 3: and then we're happy to share them with you. So 380 00:22:24,840 --> 00:22:28,160 Speaker 3: that's kind of the level that this information is being 381 00:22:28,200 --> 00:22:32,560 Speaker 3: withheld inside the company, and there's been more and more 382 00:22:32,560 --> 00:22:36,920 Speaker 3: pressure amongst workers for a little bit more information. All 383 00:22:36,960 --> 00:22:40,280 Speaker 3: this kind of blew up after the tragic shooting and 384 00:22:40,359 --> 00:22:44,399 Speaker 3: killing of Alex Pretty in January. Where as soon as 385 00:22:44,400 --> 00:22:48,720 Speaker 3: we started saying white Americans getting shot in the streets, 386 00:22:49,080 --> 00:22:51,359 Speaker 3: the company internally kind of blew up and we're like, 387 00:22:51,400 --> 00:22:53,760 Speaker 3: are we involved with this? Like how are we involved? 388 00:22:53,760 --> 00:22:55,280 Speaker 3: Like can we do anything. 389 00:22:55,040 --> 00:22:58,159 Speaker 2: To stop this. Alex Pretty's death seemed to be a 390 00:22:58,200 --> 00:23:02,240 Speaker 2: turning point for a lot of employees palants here. Immediately afterwards, 391 00:23:02,280 --> 00:23:05,879 Speaker 2: their internal slack blew up with messages from around the organization. 392 00:23:06,480 --> 00:23:08,840 Speaker 3: It seems like there had been some kind of discussions 393 00:23:08,880 --> 00:23:13,640 Speaker 3: happening in these channels prior, but that had really kind 394 00:23:13,680 --> 00:23:16,439 Speaker 3: of lit up on the day Alex Pretty was killed. 395 00:23:16,720 --> 00:23:19,840 Speaker 3: So you know what we're seeing immediately in these slack 396 00:23:19,960 --> 00:23:24,360 Speaker 3: channels and people chatting as there's like one person specifically 397 00:23:24,359 --> 00:23:27,520 Speaker 3: saying that the involvement with ice has been swept under 398 00:23:27,560 --> 00:23:30,800 Speaker 3: the rug under this current administration and there need and 399 00:23:31,119 --> 00:23:33,879 Speaker 3: better understanding of the involvement. And then someone says that 400 00:23:33,920 --> 00:23:36,280 Speaker 3: they've seen stories of folks rounded up who were seeking 401 00:23:36,320 --> 00:23:39,480 Speaker 3: asylum with no order to leave the country, no criminal record, 402 00:23:39,560 --> 00:23:42,280 Speaker 3: and consistently checked in with authorities, no reason to be 403 00:23:42,359 --> 00:23:45,840 Speaker 3: rounded up. And this is like how opaque the company 404 00:23:45,840 --> 00:23:48,080 Speaker 3: has even been to its own workers, that a worker 405 00:23:48,119 --> 00:23:51,359 Speaker 3: can see something like this happening, and then they're asking 406 00:23:51,400 --> 00:23:54,119 Speaker 3: the question here in this chat and saying, surely we 407 00:23:54,160 --> 00:23:57,760 Speaker 3: aren't helping to do that. So that's kind of how 408 00:23:57,800 --> 00:24:00,560 Speaker 3: opaque and how kind of like big of a boogeyman 409 00:24:00,680 --> 00:24:05,280 Speaker 3: Palneer has become in this space, right, because even internally 410 00:24:05,400 --> 00:24:11,000 Speaker 3: at this point, workers are associating anything that happens from 411 00:24:11,040 --> 00:24:15,119 Speaker 3: ICE with possibly something that their own employer, their colleagues, 412 00:24:15,119 --> 00:24:18,160 Speaker 3: you know, maybe in some other department, are working on. 413 00:24:18,840 --> 00:24:21,800 Speaker 3: You know, people ask more detailed questions too about how 414 00:24:21,920 --> 00:24:25,600 Speaker 3: Foundry Palenteers kind of premiere software is used, and asking 415 00:24:25,640 --> 00:24:28,600 Speaker 3: you know, we're here, we have our team of folks 416 00:24:28,680 --> 00:24:30,760 Speaker 3: who are working on this with ICE, right, and we 417 00:24:30,880 --> 00:24:33,000 Speaker 3: kind of have a contract and we have stipulations on 418 00:24:33,040 --> 00:24:35,639 Speaker 3: how the product is supposed to be used. But is 419 00:24:35,680 --> 00:24:39,680 Speaker 3: there anything that we can do to police bad behavior? 420 00:24:40,000 --> 00:24:43,399 Speaker 3: What if they decided to take data from IRS or 421 00:24:43,520 --> 00:24:46,800 Speaker 3: data from SSA and put it into Foundry. You know, 422 00:24:46,840 --> 00:24:49,240 Speaker 3: the workers are basically saying, we work really hard to 423 00:24:49,320 --> 00:24:52,520 Speaker 3: empower clients to make as many changes as possible to 424 00:24:52,560 --> 00:24:54,560 Speaker 3: the software to fit what it is that they want 425 00:24:54,600 --> 00:24:58,719 Speaker 3: to do. Well, what if fixing it is illegal, you know, 426 00:24:58,760 --> 00:25:03,240 Speaker 3: and empowers these kind of illegal apprehensions killings? Is there 427 00:25:03,280 --> 00:25:07,639 Speaker 3: anything we can do? And one of the members of 428 00:25:07,680 --> 00:25:11,440 Speaker 3: kind of senior executive leadership responds and is like, yeah, 429 00:25:11,480 --> 00:25:13,680 Speaker 3: we kind of just have to rely on the courts 430 00:25:13,880 --> 00:25:15,680 Speaker 3: in this case, there really isn't a lot of stuff 431 00:25:15,680 --> 00:25:16,360 Speaker 3: that we can do. 432 00:25:16,840 --> 00:25:19,200 Speaker 2: So you mean, like, well, we gave them this tool. 433 00:25:19,359 --> 00:25:22,360 Speaker 2: If they decide to use it for some illegal purpose, 434 00:25:23,840 --> 00:25:25,760 Speaker 2: that's kind of on them. We sold them the tool, 435 00:25:25,840 --> 00:25:26,199 Speaker 2: that's it. 436 00:25:26,560 --> 00:25:28,680 Speaker 3: Yeah, there's been some discussion on that and like kind 437 00:25:28,680 --> 00:25:30,879 Speaker 3: of being like, well, this is something that the courts 438 00:25:30,880 --> 00:25:32,320 Speaker 3: would have to figure out and they would just have 439 00:25:32,359 --> 00:25:34,200 Speaker 3: to play out in that way. And then on that 440 00:25:34,320 --> 00:25:37,359 Speaker 3: kind of Friday call that Alex Carpet pre recorded and 441 00:25:37,440 --> 00:25:41,639 Speaker 3: sent to staffers, he kind of backed away from that question. Now, 442 00:25:41,680 --> 00:25:44,000 Speaker 3: this wasn't a live thing, so I'm just kind of 443 00:25:44,000 --> 00:25:46,240 Speaker 3: taking questions that were sent in the slack and seeing 444 00:25:46,240 --> 00:25:49,840 Speaker 3: if he would answer them in this call, and I'm 445 00:25:49,960 --> 00:25:52,960 Speaker 3: surprised he didn't really. But one thing that he did 446 00:25:53,080 --> 00:25:56,880 Speaker 3: say was that people and clients and companies who are 447 00:25:57,320 --> 00:26:01,520 Speaker 3: trying to break the law don't buy Palentin products because 448 00:26:01,520 --> 00:26:05,000 Speaker 3: they're too good essentially, and it would be a lot 449 00:26:05,040 --> 00:26:10,159 Speaker 3: easier to trace malfeasans because of how good foundry. 450 00:26:09,720 --> 00:26:12,680 Speaker 2: Is good as in good versus evil, or good as 451 00:26:12,720 --> 00:26:15,320 Speaker 2: in like well made software. 452 00:26:15,600 --> 00:26:19,000 Speaker 3: Well made software. Okay, so the software is so good 453 00:26:19,720 --> 00:26:25,040 Speaker 3: that you couldn't necessarily do anything illegal because there would 454 00:26:25,040 --> 00:26:28,159 Speaker 3: be all of these audit logs tracing what it is 455 00:26:28,160 --> 00:26:30,080 Speaker 3: that you've done. So that's his argument. 456 00:26:30,800 --> 00:26:32,719 Speaker 2: I mean, you could do it, they just find you. 457 00:26:32,800 --> 00:26:36,119 Speaker 2: But then if the person who's supposed to punish you 458 00:26:36,880 --> 00:26:38,320 Speaker 2: when they found out that you did something you're not 459 00:26:38,320 --> 00:26:42,640 Speaker 2: supposed to do, doesn't want to punish you, yeah, then 460 00:26:42,960 --> 00:26:46,360 Speaker 2: you can do the thing that you're not able to do, quote. 461 00:26:46,160 --> 00:26:48,840 Speaker 3: Unquote, which is what we've seen the Trump administration do 462 00:26:48,920 --> 00:26:51,760 Speaker 3: for the last year, especially on immigration enforcement, which is 463 00:26:52,200 --> 00:26:55,960 Speaker 3: just show up and enforce and you know, don't wait 464 00:26:56,040 --> 00:26:58,720 Speaker 3: on the courts, which I think is a concern a 465 00:26:58,720 --> 00:27:01,000 Speaker 3: lot of folks inside are seeing too, because you know, 466 00:27:01,080 --> 00:27:04,719 Speaker 3: from the materials that I've seen, a lot of folks 467 00:27:04,840 --> 00:27:07,440 Speaker 3: inside Pounder don't trust the government right now. They don't 468 00:27:07,480 --> 00:27:10,439 Speaker 3: trust the story that's coming from the Trump administration. And 469 00:27:10,520 --> 00:27:16,719 Speaker 3: how do you supply a tool to an untrustworthy institution, 470 00:27:17,280 --> 00:27:20,040 Speaker 3: right especially with so much power. You know, this is 471 00:27:20,040 --> 00:27:23,480 Speaker 3: still like an ongoing discussion that's being had there, but 472 00:27:23,520 --> 00:27:26,920 Speaker 3: we haven't really seen a meaningful response from leadership just yet. 473 00:27:27,920 --> 00:27:31,840 Speaker 2: So I don't know if you've seen this, but fairly recently, 474 00:27:32,359 --> 00:27:37,119 Speaker 2: alse Karp told CNBC that I'm quoting here, if you 475 00:27:37,119 --> 00:27:39,960 Speaker 2: are critical of ICE, you should be out there protesting 476 00:27:40,040 --> 00:27:44,560 Speaker 2: for more Palenteer. And then he said, our product actually, 477 00:27:44,640 --> 00:27:48,480 Speaker 2: in its core, requires people to conform with Fourth Amendment 478 00:27:48,720 --> 00:27:53,359 Speaker 2: data protections from your reporting from what you've seen, do 479 00:27:53,440 --> 00:27:55,560 Speaker 2: you think there's an audience of people who will hear 480 00:27:55,600 --> 00:27:58,440 Speaker 2: what he says and says you know what, You're right, 481 00:27:59,320 --> 00:28:02,320 Speaker 2: I'm anti I want more Palenteer. Like is that a 482 00:28:02,440 --> 00:28:06,360 Speaker 2: reasonable request from the CEO that people might actually pick 483 00:28:06,440 --> 00:28:08,639 Speaker 2: up and take seriously or is my man just totally 484 00:28:08,680 --> 00:28:09,080 Speaker 2: out of touch. 485 00:28:10,119 --> 00:28:13,840 Speaker 3: He's I think he's pretty out of touch here. And 486 00:28:14,000 --> 00:28:16,879 Speaker 3: if he's talking to CNBC, you know, and he's saying that, 487 00:28:17,520 --> 00:28:19,159 Speaker 3: I think I don't know if he's really trying to 488 00:28:19,200 --> 00:28:21,920 Speaker 3: talk to the critics of the company more than he's 489 00:28:21,960 --> 00:28:23,240 Speaker 3: trying to talk to investors. 490 00:28:23,760 --> 00:28:26,200 Speaker 2: So that is actually something I wanted to talk about 491 00:28:26,240 --> 00:28:30,760 Speaker 2: because most of the reporting I see about Palenteer is 492 00:28:30,760 --> 00:28:33,719 Speaker 2: about stocks. It's about the stock price. I mean, their 493 00:28:33,800 --> 00:28:37,000 Speaker 2: stock price is exploded. People are making incredible amounts of 494 00:28:37,000 --> 00:28:40,320 Speaker 2: money on it. Like if you type into google Palenteer, 495 00:28:41,120 --> 00:28:45,280 Speaker 2: the suggested searches are like Palenteer stock, Palenteer stock price, 496 00:28:45,560 --> 00:28:49,000 Speaker 2: the subreddit. It is not about their technology. It's like 497 00:28:49,400 --> 00:28:52,600 Speaker 2: game stop. It's about stock go up, stock go down. 498 00:28:52,680 --> 00:28:54,520 Speaker 2: I made money, I lost money. Yeah. 499 00:28:54,560 --> 00:28:57,560 Speaker 3: Well, I think that is such an important thing to 500 00:28:57,600 --> 00:29:01,040 Speaker 3: bring up because so much a Palenter and I hear 501 00:29:01,080 --> 00:29:03,720 Speaker 3: a lot of criticism like it's because the company isn't 502 00:29:03,760 --> 00:29:07,040 Speaker 3: so transparent. It's really hard to understand the real power 503 00:29:07,040 --> 00:29:09,240 Speaker 3: of its products, right. I think the real power is 504 00:29:09,280 --> 00:29:13,360 Speaker 3: those four deployed engineers. But I really don't know if 505 00:29:13,400 --> 00:29:17,040 Speaker 3: the software does anything all that crazy. You know that 506 00:29:17,240 --> 00:29:22,080 Speaker 3: something like a Salesforce maybe or a Google or Amazon 507 00:29:22,240 --> 00:29:25,800 Speaker 3: could provide for the government, right. I think it's more so. 508 00:29:25,800 --> 00:29:29,400 Speaker 3: So much of what Palanteer makes money off of is 509 00:29:29,400 --> 00:29:32,440 Speaker 3: the story it tells, which I think is easier to 510 00:29:32,480 --> 00:29:36,120 Speaker 3: bet on as a retail investor. And I think the 511 00:29:36,160 --> 00:29:39,680 Speaker 3: company is really kind of booed by the story about 512 00:29:39,720 --> 00:29:43,240 Speaker 3: how it's maintaining Western power and is willing to do 513 00:29:43,280 --> 00:29:46,080 Speaker 3: all of these things. The key to Palenter really is 514 00:29:46,080 --> 00:29:49,719 Speaker 3: the storytelling aspect from KARB and leadership. 515 00:29:50,520 --> 00:29:52,440 Speaker 2: That's really interesting You say that because I feel like 516 00:29:52,520 --> 00:29:55,640 Speaker 2: the storytelling aspect works on two fronts, right, there's one 517 00:29:55,680 --> 00:29:58,000 Speaker 2: to the retail investors who people like, yo, I don't 518 00:29:58,000 --> 00:29:59,960 Speaker 2: care what I'm investing in if it makes me money personally, 519 00:30:00,400 --> 00:30:03,680 Speaker 2: we're good forget everybody else. But then also, you know, 520 00:30:03,880 --> 00:30:07,520 Speaker 2: if you're doing things like what Karp says that the 521 00:30:07,520 --> 00:30:11,320 Speaker 2: company can do, like preventing a terrorist attack, like, hey, listen, 522 00:30:11,680 --> 00:30:15,560 Speaker 2: if you don't want terrorism, buy our stuff and we'll 523 00:30:15,560 --> 00:30:18,800 Speaker 2: prevent it. There's a lot of very eager ears for 524 00:30:18,840 --> 00:30:23,400 Speaker 2: that in the administration. Basically, what I'm saying is, you know, 525 00:30:23,440 --> 00:30:27,000 Speaker 2: in some ways this feels like another run of the 526 00:30:27,040 --> 00:30:30,800 Speaker 2: Patriot Act, another run of Post nine to eleven. Hey, 527 00:30:31,200 --> 00:30:33,120 Speaker 2: there's something out there that you've got to be scared of. 528 00:30:34,400 --> 00:30:36,760 Speaker 2: I can help prevent that. And then other people see 529 00:30:36,760 --> 00:30:39,480 Speaker 2: that will shoot if they believe it. I can make 530 00:30:39,520 --> 00:30:41,160 Speaker 2: money off of that belief YEP. 531 00:30:41,400 --> 00:30:45,640 Speaker 3: I mean, Palenteer really is kind of filling a void 532 00:30:46,120 --> 00:30:49,360 Speaker 3: in that kind of space. You know, the government wants 533 00:30:49,400 --> 00:30:51,240 Speaker 3: to know what it's buying, wants to know that there's 534 00:30:51,400 --> 00:30:53,720 Speaker 3: buy in from the vendor to do what it is 535 00:30:53,720 --> 00:30:56,400 Speaker 3: that it wants to do, and Palenter really sets that 536 00:30:56,400 --> 00:30:58,720 Speaker 3: tone from the get go and all of its advertising 537 00:30:58,760 --> 00:30:59,880 Speaker 3: and the way that Carp talks. 538 00:31:00,480 --> 00:31:02,360 Speaker 2: Yeah. I mean, I think the opening line of Alex 539 00:31:02,400 --> 00:31:06,280 Speaker 2: Carp's book is something like Silicon Valley has lost its way. Yeah, 540 00:31:06,320 --> 00:31:08,200 Speaker 2: and then he goes on to say that all these 541 00:31:08,240 --> 00:31:10,600 Speaker 2: programmers are out here just making stuff because they like 542 00:31:10,640 --> 00:31:13,400 Speaker 2: making stuff. But we no longer have programmers with a 543 00:31:13,520 --> 00:31:18,600 Speaker 2: national purpose, which is incredible to hear somebody suggest that 544 00:31:18,680 --> 00:31:21,400 Speaker 2: a programmer needs a national purpose. 545 00:31:21,840 --> 00:31:24,440 Speaker 3: Yeah, they need another. He's always kind of talking about 546 00:31:24,440 --> 00:31:28,400 Speaker 3: like the Manhattan Project and like getting the smartest minds 547 00:31:28,400 --> 00:31:33,360 Speaker 3: in the world to create something that has caused untold 548 00:31:33,560 --> 00:31:37,200 Speaker 3: amounts of pain and suffering, like the atomic bomb. 549 00:31:38,160 --> 00:31:41,440 Speaker 2: I also, I think maybe this is an opportunity here 550 00:31:41,480 --> 00:31:44,240 Speaker 2: for us to correct a little bit of misinformation. I 551 00:31:44,240 --> 00:31:47,760 Speaker 2: don't know if you've seen floating around that party full 552 00:31:48,320 --> 00:31:52,320 Speaker 2: the app is owned by Palenteer. We should probably say 553 00:31:52,480 --> 00:31:55,760 Speaker 2: very clearly here that partyful is not owned by Palenteer. 554 00:31:56,080 --> 00:32:01,400 Speaker 2: Party Full was founded by some former Polentteer employees. But 555 00:32:01,440 --> 00:32:03,880 Speaker 2: it's interesting to me that just regular people who want 556 00:32:03,880 --> 00:32:08,080 Speaker 2: to throw parties are now becoming aware or thinking about 557 00:32:08,080 --> 00:32:11,080 Speaker 2: this company that otherwise they probably would never think about. 558 00:32:11,440 --> 00:32:15,520 Speaker 3: Yeah. You know, something that I've been tracking is that 559 00:32:15,560 --> 00:32:19,920 Speaker 3: it's not even just like people with more left wing 560 00:32:20,800 --> 00:32:24,479 Speaker 3: views that are skeptical of Palenteer. That's kind of always 561 00:32:24,520 --> 00:32:26,640 Speaker 3: been the case. But what we've seen more and more 562 00:32:26,720 --> 00:32:29,640 Speaker 3: is folks on the right as well. Really, there's this 563 00:32:29,720 --> 00:32:34,360 Speaker 3: comedian named Tim Dillon who is oftentimes for the last 564 00:32:34,400 --> 00:32:37,080 Speaker 3: couple of months, has been going after the company. 565 00:32:37,640 --> 00:32:41,040 Speaker 8: The level of power in terms of surveillance and data 566 00:32:41,120 --> 00:32:44,920 Speaker 8: mining and the power over your life has never been 567 00:32:45,800 --> 00:32:48,960 Speaker 8: as orwellian as it is now. That's what bothers a 568 00:32:49,000 --> 00:32:52,040 Speaker 8: lot of people. It's what bothers people about this Palenteer thing. 569 00:32:52,480 --> 00:32:55,520 Speaker 2: Yeah, yeah, we were talking about that yesterday. Yeah, the 570 00:32:55,560 --> 00:32:59,200 Speaker 2: Palenteer thing is very odd. That's comedian Tim Dillon talking 571 00:32:59,200 --> 00:32:59,880 Speaker 2: to Joe Rogan. 572 00:33:00,320 --> 00:33:04,520 Speaker 8: A lot of people feel that this is the precursor 573 00:33:04,560 --> 00:33:07,160 Speaker 8: to you know, a social credit score m hm, a 574 00:33:07,240 --> 00:33:10,880 Speaker 8: digital kind of police state, and that it's being done 575 00:33:10,920 --> 00:33:14,440 Speaker 8: under the guise of security, that you will be safer. 576 00:33:14,040 --> 00:33:15,960 Speaker 2: Which is what the Patriot actor was brought there. That's 577 00:33:16,000 --> 00:33:18,240 Speaker 2: exactly right. It's always the case. It's always the case. 578 00:33:18,240 --> 00:33:20,640 Speaker 2: They always sneak it in like you got to be safe. 579 00:33:20,880 --> 00:33:24,200 Speaker 3: Yeah, so we're seeing it even build on the right 580 00:33:24,720 --> 00:33:25,360 Speaker 3: as well. 581 00:33:25,960 --> 00:33:27,320 Speaker 2: What do you think behind that. 582 00:33:27,960 --> 00:33:31,640 Speaker 3: I think it comes down to surveillance. I also think 583 00:33:31,680 --> 00:33:37,080 Speaker 3: that there is kind of a because of how little 584 00:33:38,040 --> 00:33:41,680 Speaker 3: Palentteer as a company discusses the work that it does, 585 00:33:41,800 --> 00:33:45,000 Speaker 3: the actual work that it does, everything that we've discussed here, 586 00:33:45,120 --> 00:33:48,520 Speaker 3: this is like what we know that is already pretty concerning, 587 00:33:48,520 --> 00:33:50,240 Speaker 3: at least to a lot of experts that I talk 588 00:33:50,280 --> 00:33:53,920 Speaker 3: to in like civil rights and civil liberties spaces. But 589 00:33:54,080 --> 00:33:56,560 Speaker 3: even beyond that, you know, if they are requiring you 590 00:33:56,640 --> 00:33:59,560 Speaker 3: to sign an NDA for more information on the work 591 00:33:59,600 --> 00:34:03,640 Speaker 3: that they're doing with ICE, that isn't very reassuring. And 592 00:34:03,720 --> 00:34:07,520 Speaker 3: so because it's the company is just so opaque, it 593 00:34:07,600 --> 00:34:10,480 Speaker 3: allows people to project all the concerns that they have 594 00:34:10,920 --> 00:34:15,759 Speaker 3: about surveillance tech, about big tech power, and all of that, 595 00:34:15,880 --> 00:34:20,320 Speaker 3: I think onto Palenteer, reinforcing the kind of boogeyman image 596 00:34:20,360 --> 00:34:21,080 Speaker 3: that has grown. 597 00:34:24,640 --> 00:34:26,640 Speaker 2: So let's go back to that clip that we played 598 00:34:26,640 --> 00:34:29,720 Speaker 2: in the beginning. So that clip wasn't some behind closed 599 00:34:29,719 --> 00:34:32,400 Speaker 2: doors secret meeting that leaked or something like that. It 600 00:34:32,440 --> 00:34:35,759 Speaker 2: was a public call with investors. Like we said, most 601 00:34:35,760 --> 00:34:38,919 Speaker 2: civilians didn't know anything about Palenteer in twenty twenty four, 602 00:34:39,160 --> 00:34:40,960 Speaker 2: and a lot of the people who did know about it, 603 00:34:41,160 --> 00:34:43,480 Speaker 2: just thought of it as another company to invest in. 604 00:34:44,200 --> 00:34:47,160 Speaker 2: So here's Palenteer's CEO, Alex carp. 605 00:34:47,160 --> 00:34:50,480 Speaker 4: In his own words, Alex, as always, we have a 606 00:34:50,520 --> 00:34:52,160 Speaker 4: lot of individual investors on the line. 607 00:34:52,239 --> 00:34:53,799 Speaker 3: Is there anything you'd like to say before we end 608 00:34:53,840 --> 00:34:54,120 Speaker 3: the call. 609 00:34:55,360 --> 00:34:55,960 Speaker 2: We're doing it. 610 00:34:57,000 --> 00:35:00,319 Speaker 7: We're doing it, and I'm sure you're enjoying this as 611 00:35:00,400 --> 00:35:01,560 Speaker 7: much as I am. 612 00:35:02,040 --> 00:35:06,280 Speaker 1: Every Paletarium we are crushing it. Everyone else who's listening. 613 00:35:07,280 --> 00:35:10,680 Speaker 1: We are dedicating our company. We have dedicated our company 614 00:35:10,719 --> 00:35:12,680 Speaker 1: to the service of the West and the United States 615 00:35:12,680 --> 00:35:15,200 Speaker 1: of America, and we're super proud of the role we play, 616 00:35:15,320 --> 00:35:18,880 Speaker 1: especially in places we can't talk about. Palenteer is here 617 00:35:19,640 --> 00:35:23,000 Speaker 1: to disrupt and make the institutions we partner with the 618 00:35:23,120 --> 00:35:26,080 Speaker 1: very best in the world, and when it's necessary to 619 00:35:26,080 --> 00:35:33,719 Speaker 1: scare enemies and on occasion kill them. 620 00:35:33,760 --> 00:35:36,400 Speaker 2: No commentary here from me other than just re asking 621 00:35:36,480 --> 00:35:38,480 Speaker 2: one of the questions that I asked in the beginning, 622 00:35:39,200 --> 00:35:45,399 Speaker 2: Who exactly are these enemies that we're talking about? Thank 623 00:35:45,440 --> 00:35:48,480 Speaker 2: you so much for listening to another episode kill Switch. 624 00:35:48,640 --> 00:35:50,560 Speaker 2: If you want to talk, you can email us at 625 00:35:50,640 --> 00:35:54,480 Speaker 2: kill Switch at Kaleidoscope dot NYC or on Instagram. We're 626 00:35:54,560 --> 00:35:57,239 Speaker 2: at kill Switch Pod. And if you've been listening to 627 00:35:57,280 --> 00:35:58,879 Speaker 2: the show for a bit and you like what you hear, 628 00:35:59,120 --> 00:36:01,520 Speaker 2: maybe leave us a review. It helps other people find 629 00:36:01,560 --> 00:36:04,080 Speaker 2: the show, which in turn helps us keep doing our thing. 630 00:36:04,400 --> 00:36:07,120 Speaker 2: And also, did you know that kill switch is on YouTube? 631 00:36:07,280 --> 00:36:09,480 Speaker 2: The link for that and everything else is in the 632 00:36:09,480 --> 00:36:12,720 Speaker 2: show notes. Kill Switch is hosted by Me Dexter Thomas. 633 00:36:12,800 --> 00:36:16,520 Speaker 2: It's produced by Sheena Ozaki, Darluck Potts, and Julia Nutter. 634 00:36:16,640 --> 00:36:19,080 Speaker 2: Our theme song is by me and Kyle Murdoch, and 635 00:36:19,200 --> 00:36:22,719 Speaker 2: Kyle also mixes the show from Kaleidoscope. Our executive producers 636 00:36:22,760 --> 00:36:27,040 Speaker 2: are Ozma Lashin, Mangesh Hatigadour, and Kate Osborne. From iHeart 637 00:36:27,040 --> 00:36:30,320 Speaker 2: our executive producers are Katrina Norville and Nikki e. Tor. 638 00:36:31,640 --> 00:36:32,439 Speaker 2: Catch y'all next week. 639 00:36:38,560 --> 00:36:38,840 Speaker 4: Bye,