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Palantir aims to enhance the institutions we collaborate with, striving to make them the best globally. Our mission includes intimidating adversaries and, when necessary, neutralizing threats. We appreciate your partnership and remain dedicated to our objectives.

Gideon is the first real time AI system built to detect threats online before they become attacks. Anonymous networks flagging behavior predicting danger. We don't get a second chance. Let's not miss the next one. Fifteen seconds, Aaron. You're talking about stopping mass shootings, attacks in Boulder before they start. Trace, I'm building the first AI driven threat prediction platform for law enforcement. They're flying blind right now. I've got an elite team of engineers from Palantir. I've got law enforcement agencies lined up. 76% of these mass attackers posted some type of grievance online. This is America's early warning detection system. If you're a chief out there, reach out to me and get on my pilot. If you're a VC, I'm about to open my seed round, partner with me, and let's make America safe. They're gonna get cops the tools they need.

A respected and powerful Wall Street businessman wouldn't be suspected of fraud unless you knew the math. The speaker, who has taken calculus, linear algebra, and statistics courses, claims it took him five minutes to recognize the fraud. He then spent almost four hours using mathematical modeling to prove it.

Data centers under construction in the United States show how quickly AI infrastructure is expanding. Texas has 135, Virginia 134, Georgia 51, Ohio 45, Arizona 35, Nevada 29, Indiana 21, Mississippi 21, Illinois 19, Iowa 16, Oregon 12, South Carolina 12, Wisconsin 11, Maryland 11, North Carolina 11, Pennsylvania 11, Utah 10, Missouri 8, Wyoming 2, Alabama 7, New York 7, Tennessee 7, and Florida 7 under construction. Australia, the UK, and Canada have smaller numbers. In Australia, Sydney has 10 to 15 distinct sites or campuses actively under construction; Melbourne has 8 to 12 sites; nationally, 20 to 30 sites total actively under construction, plus 48 upcoming facilities overall. In the UK, London has 7; other regions show slow growth with two to four in some areas. Northeast England, Wales have one to two; Greater Manchester, Yorkshire, Scotland have one to three; national totals are approximately 20 to 30 distinct sites or facilities actively under construction, with 29 projects expected to begin or continue construction in 2026. In Canada, Toronto (Greater Toronto Area) has four to six; Montreal (Quebec metro area) five to eight; Quebec City two to four; Vancouver one to three; Calgary/Alberta five to ten. Other regions such as Ottawa, Waterloo, and Halifax have one to three being planned. Flock Safety is a US-based technology company, Flock Group Inc, founded in 2017 and headquartered in Atlanta, Georgia, that develops and operates a public safety platform focused on surveillance tools to help prevent and solve crime. They produce automated license plate recognition, ALPR or LPR cameras, which are solar powered fixed cameras capturing images of vehicles, often focusing on rear plates, bumper stickers, and other details on public roads. They use AI and machine learning to read plates, identify unique vehicle features like vehicle fingerprint, and provide real time alerts for vehicles on hot lists, such as stolen cars or wanted suspects. Additional devices include video surveillance cameras, gunfire detection, ShotSpotter-like audio sensors, and drones for first response. Integrated platform FlockOS feeds data from these devices into a cloud-based system hosted on AWS where law enforcement can search nationwide, get alerts, review footage and clips, and use natural language AI searches (for example, specific vehicle descriptions). Data is typically retained for thirty days unless flagged. Flock data can be integrated into platforms like Palantir for law enforcement use. They claim that more than 6,000 communities trust Flock to help keep their communities safer and describe their solution as hassle-free, scalable, and customizable, expediting positive outcomes. They note that 15% of reported crimes in the US are solved with the help from FLOCK, with an asterisk. Despite the perceived positive impact, the transcript acknowledges disasters and secrecy surrounding Flock.

Speaker 0 discusses Palantir and expanded government use. Key points: - Palantir is openly building databases on people, used with ICE and announced for broader government use; Palantir also manages all health data due to extensive contracts with HHS. - Trump’s first term included a push to have social media companies flag statements to prevent shootings, using analytics to determine intervention before a crime—concept described as “minority report.” - William Barr, during the first Trump administration, created DEEP, a program that legalized precrime in the United States; there were a few arrests under DEEP for Facebook posts, but not many, with the legal framework in place since Trump’s first term. - The pitch for a precrime system included HARPA, a health-focused version of DARPA, and a program called Safe Homes intended to analyze American social media posts for early warning signs of neuropsychiatric violence. Based on that analysis, individuals could be sent to a court-ordered psychologist or physician or placed under house arrest without having committed any crime. - With Palantir’s increased government integration, especially through the Doge agency led by Elon Musk, Palantir has embedded itself further in government, including the IRS and mortgage-related entities like Fannie Mae; this involves access to data from the Department of Treasury and the IRS, forming a master database aimed at stopping crime before it happens. - Palantir’s precrime activities included piloting predictive policing programs in police departments, initially in New Orleans, targeting primarily low-income minority neighborhoods. - Other companies besides Palantir, such as Predpol in Los Angeles, claim to provide predictive policing with an accuracy of 0.5%; contracts with Predpol have not been terminated. - The overarching concept traces to the Panopticon idea: constant surveillance leads people to police themselves and censor themselves, implying control through perpetual observation, rather than purely improved efficiency in policing. The speaker characterizes this as the foundational form of control.

The discussion centers on the kill chain concept and Palantir’s role within it. One speaker explains that the system you call the kill chain was created privately, while publicly lawyers frame it as something like “tech for the amelioration of unwanted blah blah blah.” The term kill chain sounds good to him, though not originally Palantir’s; it’s a general military sequence from identifying a target to taking a life. Palantir’s contract added their software and artificial intelligence to the kill chain, making it quicker, and, in his view, “better and more violent.” He notes that stepping back to examine the actual application of these technologies can be destabilizing. Another speaker discusses a personal trajectory: Juan didn’t leave Palantir entirely for ethical reasons, only taking another job, but his motivation to speak out against Palantir grew after observing the Israeli invasion of Gaza following the October 7 attacks. Palantir has contracts with the Israeli Defense Forces, with the exact nature intentionally opaque, yet evidence suggests Palantir’s AI tech was used for target selection in Gaza. The speaker Carp embraces controversy as part of marketing, stating Palantir is comfortable being unpopular. He adds that Palantir works with health insurance companies to build AI for denials management to protect revenue, raising the question of whether Palantir’s AI should decide what care is covered for individuals. A third speaker explains the technical approach: they use what legal scholars call predicate-based search to identify indicators of potential bad behavior in a person’s life. In essence, Palantir makes software that helps customers collect and analyze data and then act on the analysis. By 2013, a decade after founding, Palantir’s client list included the FBI, the CIA, the NSA, the Marines, the Air Force, Special Operations Command, and more. Palantir already had contracts with the IRS to analyze taxpayer data to guide auditors to easier audits, handling financial information for many. They also had multiple contracts with the Department of Health and Human Services, whose core responsibility is Medicare and Medicaid, controlling millions of Americans’ health records and access to health care. A final speaker warns that as we increasingly live in a simulated world, we move toward governance by algorithm, governed by those influencing these AI systems to advance profit- or control-seeking objectives.

Palantir's unique strength lies in its ability to tackle complex and unconventional challenges that other companies of its size shy away from. They specialize in developing software products that anticipate a future where the world becomes more complicated, fragmented, and uncertain. In this world, institutions must work harder to establish their legitimacy, relying on concrete evidence rather than past achievements. Palantir recognizes the need to prove their value through tangible results, rather than simply relying on reputation.

Our financial systems are antiquated. We're unable to track trillions of dollars in transactions. Information sharing is severely limited by outdated and incompatible technological systems.

Speaker 0: Palantir is described through the Lord of the Rings metaphor, with a logo of a black orb balanced on two leaf-like supports, invoking the mythical Palantirs from Tolkien's work. Palantirs are stones that allowed users to see into the past, future, and other locations, and the logo is used to symbolize Palantir’s mission of using complex data for powerful insights, with a focus on data intelligence and innovation. A Palantir is described as an indestructible crystal ball, and the word is said to come from quinia palan, meaning far or to watch over, which is linked to a surveillance state. The speaker asserts that Palantir has been all over the Trump administration, and claims that Trump has tapped Palantir to compile data on Americans. It is stated that if Palantir teams with Doge, their job becomes easy because Doge has already gained access to the Department of Homeland Security, the Social Security Administration, the IRS, the Department of Health and Human Services, the Department of Housing and Urban Development, the Department of Veterans Affairs, the Department of Personal Management, and the Department of Education. The speaker contends that if they wanted to build a social credit score system, they would have all the information they need. There is a reference to Minority Report, claiming Palantir already has the technology of crime predicting, and that Palantir is now being sold to police departments. The speaker warns that, as in the Minority Report ending, the outcome was not good. The speaker mentions riots in Los Angeles that are planned to spread across the nation, and suggests that an additional biological threat has already been exercised, referencing Event 201. There is a claim that there was a saying about nothing new under the sun, recalling 2020, riots, and stimulus checks. The prediction is that this time there will be universal basic income relief, the rollout of an emergency digital wallet, and soon digital IDs, though they will be labeled differently to sound favorable because of Trump’s tendency to rename things. Palantir is said to take over to ensure universal compliance. The speaker invokes occult language about “order out of chaos,” claiming that people are falling for it. The message asserts that Trump will not save them and reiterates Palantir’s presence since day one. The speaker proclaims that we are living in extraordinary times and asserts that Christians should be excited because of what the Bible says, while those who are scared are described as not in Christ. Finally, there is a call to know Jesus as Lord and Savior, with the Bible verse implication that confessing Jesus as Lord and believing in his death and resurrection will lead to salvation, urging not to wait until it is too late.

Gideon is the first real time AI system built to detect threats online before they become attacks. Fifteen seconds, Aaron. You're talking about stopping mass shootings, attacks in Boulder before they start. Trace, I'm building the first AI driven threat prediction platform for law enforcement. They're flying blind right now. I've got an elite team of engineers from Palantir. I've got law enforcement agencies lined up. 76% of these mass attackers posted some type of grievance online. This is America's early warning detection system. If you're a chief out there, reach out to me and get on my pilot. And if you're a VC, I'm about to open my seed round, partner with me, and let's make America safe. They're gonna get cops the tools they need.

A partnership with Palantir aims to address mortgage fraud. The partnership intends to ensure there is no fraud. According to one speaker, they have only scratched the surface with Palantir. Previously, it took investigators sixty days to detect fraud; Palantir's technology completes the same task in ten seconds. One speaker expressed excitement about Palantir's technology and expertise in security and fraud detection. For Palantir, this partnership is a matter of public trust. The partnership aims to understand mortgage fraud and stop it. The goal is to get to the bottom of mortgage fraud.

Patrick Sarval is introduced as an author and expert on conspiracies, system architecture, geopolitics, and software systems. Ab Gieterink asks who Patrick Sarval is and what his expertise entails. Sarval describes himself as an IT architect, often a freelance contractor working with various control and cybernetics-oriented systems, with earlier experience including a Bitcoin startup in 2011, photography work for events, and involvement in topics around conspiracy thinking. He notes his books, including Complotcatalogus and Spiegelpaleis, and mentions Seprouter and Niburu in relation to conspiratorial topics. Gieterink references a prior interview about Complotcatalogus and another of Sarval’s books, and sets the stage to discuss Palantir, surveillance, and the internet. The conversation then shifts to explaining Palantir and its significance. Sarval emphasizes Palantir as a key element in a broader trend rather than focusing solely on the company itself. He uses science-fiction analogies to describe how data processing and artificial intelligence are evolving. In particular, he introduces the concept of a “brein” (brain) or “legion” that integrates disparate data streams, builds an ontology, and enables predictive analytics and tactical decision-making. Palantir is described as the intelligence brain that aggregates data from multiple sources to produce meaningful insights. Sarval explains that a rudimentary prototype of such a system operates under the name Lavender in Gaza, where metadata from sources like Meta (Facebook, WhatsApp, Instagram), cell towers, satellites, and other sensors are fed into Palantir. The system performs threat analysis, ranks threats from high to low, and then a military operator—still human—must approve the action, with about 20–25 seconds to decide whether to fire a weapon. The claim is that Palantir-like software functions as the brain behind this process, orchestrating data integration, ontology creation, data fusion, digital twins, profiling, predictions, and tactical dissemination. The discussion covers how Palantir integrates data from medical records, parking fines, phone data, WhatsApp contacts, and more, then applies an overarching data model and digital twin to simulate and project outcomes. This enables targeted marketing alongside military uses, illustrating the broad reach of the platform. Sarval notes there are two divisions within Palantir: Gotum (military) and Foundry (business models), which he mentions to illustrate the dual-use nature of the technology. He warns that the system is designed to close feedback loops, allowing it to learn and refine its outputs over time, similar to how a thermostat adjusts heating based on sensor inputs. A central concern is the risk to the rule of law and human agency. The discussion highlights the potential erosion of the presumption of innocence and due process when decisions increasingly rely on predictive models and AI. The panel considers the possibility that in a high-stress battlefield scenario, soldiers or commanders might defer to the Palantir-presented “world view,” making it harder to refuse an order. There is also concern about the shift toward autonomous weapons and the removal of human oversight in critical decisions, raising fears about the ethics and accountability of such systems. The conversation moves to the political and ideological backdrop surrounding Palantir’s leadership. Peter Thiel, Elon Musk, and a close circle with ties to PayPal and other tech-industry figures are discussed. Sarval characterizes Palantir’s leadership as ideologically defined, with statements about Zionism and a political worldview influencing how the technology is developed and deployed. The dialogue touches on perceived connections to broader geopolitical influence, including the role of influence campaigns, media shaping, and the involvement of powerful networks in technology development and national security. As the discussion progresses, the speakers explore the implications of advanced AI and the “new generative AI” era. They consider the nature of AI and the potential for it to act not just as a data processor but as a decision-maker with emergent properties that challenge human control. The concept of pre-crime—predicting and acting on potential future threats before they materialize—is discussed as a troubling possibility, especially when a machine’s probability-based judgments guide life-and-death actions. Towards the end, the conversation contemplates what a fully dominated surveillance state might look like, including cognitive warfare and personalized influence through media, ads, and social networks. The dialogue returns to questions about how far Palantir and similar systems have penetrated international security programs, with speculation about Gaza, NATO adoption, and commercial uses beyond military applications. The speakers acknowledge the possibility of multiple trajectories and emphasize the need for checks and balances, transparency, and critical reflection on the power such systems confer upon a relatively small group of technologists and influencers. They conclude with a nod to the transformative and potentially dystopian future of AI-enabled surveillance and decision-making, cautioning against unbridled expansion and urging vigilance.

The speakers discuss identifying and addressing fraud and waste in government payment systems, where there is often no clear accounting of where the money goes. One speaker uses "Big Balls" as a LinkedIn username to signal risk-taking. Team members have faced hostility, including email threats and effigy hangings, for their work. One member dropped out of Harvard to contribute, citing the greater impact of this work. They emphasize their intense work ethic and dedication. They also highlight the collaboration with government employees who are eager for reform and express gratitude to those helping reduce waste and fraud. They stress that many government employees are dedicated and want to improve systems, and they are providing the tools and collaboration to empower them. Conflict is the exception, not the rule.

Ten years after they began talking, the speakers reflect on how they’ve continued to challenge each other. The speaker asserts that Palantir made every major decision: FDA’s going public, building products, pursuing enterprise and large data sets, expanding into government work, acknowledging American superiority, and adopting a pro-meritocracy stance, culminating in a launch described as “we're do do We're We're that. Able world.”

Palantir is here to disrupt and make our the institutions we partner with the very best in the world and when it's necessary to scare enemies and, on occasion, kill them.

Palantir is allegedly in partnership with the Netanyahu syndicate and the breakaways. The government pays Palantir massive amounts of money through contracts. A new sole-source ICE contract is on the way to Palantir. Palantir has Treasury, IRS, and Social Security data, and will soon have all ICE data. Trump wants to privatize Freddie and Fannie, but Palantir will underwrite all the packages, giving them all housing data. HHS is organizing all public and private health data, which is assumed to be going to Palantir as well. This data is being managed and privatized into AI. After XAI announced a partnership with Palantir, the government gave Palantir additional contracts. An income verification service suddenly had complete data on 100% of Americans after Doge got Treasury, Social Security, and IRS data. The ICE contract allows tracking immigrants' locations in real-time through Palantir back to ICE. The primary thing going on is building a complete biometric surveillance of the entire population.

Speaker 0 discusses The New York Times piece about Trump tapping Palantir to compile data on Americans, noting mixed reactions online and outlining the background. In March, President Trump signed an executive order calling for the federal government to share data across agencies, raising questions about a potential master list of personal information and untold surveillance power. Behind the scenes, officials have quietly placed technological building blocks to enable the plan, with Palantir—the data analysis and technology firm—playing a central role. Palantir is described as more than a data firm. The Trump administration has expanded Palantir’s work across the federal government in recent months. The company has received more than 113,000,000 in federal government spending since Trump took office, including new contracts with the Department of Homeland Security and the Pentagon, plus existing contracts. A separate note mentions a $795,000,000 Department of Defense contract awarded last week that has not yet been spent. Representatives of Palantir are said to be in discussions with at least two other agencies—the Social Security Administration and the Internal Revenue Service—about buying its technology, according to six government officials and Palantir employees. A key Palantir product, Foundry, is used in at least four federal agencies, including DHS and the HHS, widely adopted to organize and analyze data and to pave the way for merging information from different agencies. This is linked to the ability to create detailed portraits of Americans based on government data. Government officials say the administration has sought access to hundreds of data points on citizens and others through government databases, including bank account numbers, student debt amounts, medical claims, and disability status. Critics say such data access could be used to advance political agendas, policing immigrants, and punishing critics; privacy advocates, student unions, and labor rights organizations have filed lawsuits to block data access. A notable point in the piece is that Palantir’s selection as a chief vendor was driven by Elon Musk’s Department of Government Efficiency, with at least three Doge members formerly at Palantir and two others who had worked at Peter Thiel-funded companies. Some current and former Palantir employees have expressed unease, with 13 former employees signing a letter urging Palantir to stop its endeavors with President Trump, including Linda Shah, a Palantir engineer who left last year, who said the concern was not the technology but how the administration planned to use it. The article also notes Palantir’s main products: Foundry and Gotham, the latter described as helping organize and draw conclusions from data and tailored for security and defense purposes. Gotham is interpreted by some as precrime software. Palantir was founded with initial funding from the CIA’s venture capital arm, In-Q-Tel, and Peter Thiel’s Founders Fund, and In-Q-Tel also funded Founders Fund. Speaker 1 interjects with a quote from Palantir’s Alex Karp claiming Palantir built PG to stop the rise of the far right in Europe and to distribute the COVID vaccine with Foundry, and to create a “digital kill chain.” Speaker 0 questions the desirability of a technology that compiles banking data, social security information, online presence, and other personal data for precrime analysis across government, especially under an administration associated with claims of stopping a far-right rise. The discussion continues with concerns about the potential weaponization of data and the implications for speech, political ideology, and dissent.

The transcript surveys Palantir’s rise as a powerful data analytics company intertwined with government and military aims, emphasizing how fear, surveillance, and control have shaped its growth and public image. It frames Palantir as aiming to become “the ultimate military contractor and the ultimate arbiter of all of our data,” with its software described as enabling governments and major institutions to collect, analyze, and act on vast datasets, including in war zones. Key points include: - Palantir’s positioning and clients: The company claims it can revolutionize government systems with AI-powered data analysis and has been hired by the Department of Defense, the FBI, local police, the IRS, and other entities, including non-government customers like Wendy’s. Its business model is described as transforming “information those organizations collect, collect even more information, and use that data to draw conclusions.” - The kill chain concept and AI: Palantir’s tech is linked to the “kill chain,” a military term for the series of decisions leading to targeting and potentially taking life. Palantir’s contract adds AI to this chain, making it “quicker and better and safer and more violent.” - Founding story and rhetoric: Palantir traces its origins to a PayPal-connected network (the “PayPal mafia”) and to Alex Karp, who studied neoclassical social theory, with the company named after Tolkien’s Palantir. Middle-earth imagery is used to juxtapose potential good versus dangerous power. - Data, surveillance, and ontology: The software is described as capable of reconfiguring an organization’s ontology—what systems matter, what information matters, how processes are structured, and what biases are introduced. - Inside views and ethics: A former Palantir employee, Juan, explains his departure and later criticisms after observing the Israeli invasion of Gaza; Palantir’s involvement with the Israeli Defense Forces is noted, though contract details are opaque. The claim is that Palantir’s AI may have been used for target selection. - Revenue and focus on government: In 2024 Palantir earned nearly $2.9 billion, with 55% from government sources, most of it American. Palantir’s CTO Sham Sankar is cited with a Defense Reformation rhetoric that aligns with the Defense Innovation Board’s push to fund emerging tech, suggesting a fusion of defense spending and Palantir’s growth. - Domination and market strategy: Palantir is depicted as striving to be the “US government’s central operating system,” with Doge (an internal effort) aimed at unifying data across agencies like the IRS and Health and Human Services, potentially giving one contractor broad access to Americans’ data and health records. - Corporate culture and risk: The company is described as comfortable being unpopular, with leaders like Peter Thiel investing heavily and having a role in politics; Karp emphasizes civil liberties in terms of lawful use of government data and its potential misapplication. - Ethical tension and viewpoint: The piece notes that Palantir’s reach could enable governance by algorithm and automated decision-making, potentially reshaping personal lives, battlefields, and governance. The founders’ ownership structure preserves control through class voting shares. - Final reflections: The speakers argue that criticizing the system is fraught because watching and fear can silence dissent, and warn against replacing a broken system with an even more broken one, urging vigilance over who wields powerful data and AI.

Palantir aims to disrupt and make its partner institutions the best globally. This includes instilling fear in enemies and, when required, eliminating them.

The discussion centers on Palantir Technologies and a proposed March 2025 executive order that would require federal agencies to share and control data, aiming to centralize government data using Palantir’s Foundry platform. It is claimed that Palantir has already deployed Foundry in at least four agencies, including the Department of Homeland Security and Health and Human Services, and that the company has received over $113 million in federal contracts since Trump took office, with a recent $795 million Department of Defense contract. The speakers allege that the initiative could enable a comprehensive database on all Americans—“light years beyond Real ID, the Patriot Act, and Prism”—and that those who control it seek “complete power over you and everyone else.” They warn of mass surveillance and privacy violations, lack of oversight, and potential political abuse. Key concerns include the breadth of data that Palantir’s system could merge, such as bank accounts, medical records, driving records, student debt, disability status, political affiliation, credit card expenditures, online purchases, tax filings, and travel and phone records, creating “detailed profiles on every single American.” The speakers argue this centralization would enable unchecked monitoring with “zero oversight,” increasing data security risks and the potential for breaches, leaks, or mismanagement. They emphasize a history of opaqueness in Palantir’s operations and tie the company’s AI tools to predictive policing and military applications lacking public accountability. They cite Palantir’s CEO Alex Karp as having controversial views and describe the firm as aligned with a profit-driven push for technomilitarism. The talk links Palantir to broader power dynamics, including ties to Elon Musk’s and Peter Thiel’s spheres, and suggests a technocratic oligarchy could emerge that prioritizes corporate and political agendas over public interest. While acknowledging stated goals like fraud detection and national security, the speakers assert the lack of checks and balances, and fear that the surveillance infrastructure would be embedded to be expanded by future governments. The “kill chain” terminology is discussed both in military and cyber contexts, with Palantir’s Gotham platform described as designed to shorten the kill chain by fusing large datasets into actionable intelligence, enabling faster targeting decisions. They provide examples like the use of Palantir to improve the accuracy and speed of Ukraine’s artillery strikes and, publicly, the Israeli Defense Forces’ use for striking targets in Gaza. The segment also mentions Palantir’s use in predictive policing, including tools used by the Los Angeles Police Department, and argues that Palantir aims to track “everybody, not just immigrants.” The speakers conclude that this centralized system is “light years beyond Real ID, the Patriot Act, or Prism” and advocate resisting it and “thinking of ways we can break the links in the kill chain.”

The video discusses recent changes in how Palantir is used to track Americans’ financial information and the potential impact on privacy, in the context of a legislative vote scheduled for the week of April 13. Key points: - Palantir’s Foundry platform, described as Palantir’s civilian platform, has been inside the IRS since 2017. It connects databases containing bank statements, IRS filings, and financial transactions to identify patterns for investigations. It has helped investigators by finding patterns they might miss. - The IRS has paid Palantir more than $200 million for this work. Historically, the use of Foundry was limited to cases that were already open, with investigators having a formal reason to look and an active investigation. - In December 2024, the IRS paid Palantir $1.8 million to build a tool called SNAP, standing for the selection and analytic platform. SNAP is described as taking the human out of the equation, scoring every American taxpayer and generating a ranked list of who the government should target next for audits, collections, and criminal investigations. - In the following months, the IRS paid Palantir an additional $2.25 million to expand SNAP. SNAP reportedly will pull transaction data from platforms like Venmo, Etsy, Depop, and Cash App. The threshold for reporting on these platforms reportedly dropped to $600 this year, expanding the scope of potentially flagged activities (including small-scale transactions such as selling a used couch or freelance dog walking). - There is concern about legality. In June 2025, ten members of Congress wrote to Palantir’s CEO suggesting the program likely violates the Privacy Act of 1974 and federal tax privacy laws, which limit tax information use to tax-related purposes. The IRS’s top lawyer reportedly agreed but was removed from the position two days after making that statement. - Two short-term actions are proposed: 1) Remove oneself from data broker databases to shrink the government’s data footprint, since it can access real-time location data, phone numbers, and spending habits through third-party data brokers without warrants. California residents can use privacy.california.gov/drop to send deletion requests to over 500 data brokers; the service is described as quick (about five minutes). Non-Californians can use services like Incogni or DeleteMe, with caveats about due diligence and potential fees. 2) Contact Rick Crawford, chair of the House Intelligence Committee, to push for warrant protections in FISA reauthorization. The vote is scheduled for the week of April 13. Crawford’s DC office number is (202) 225-4076, and the speaker demonstrates making a call to advocate for warrant requirements. The speaker emphasizes that if the legislation passes without protections, broader discussions about compliance and oversight will be necessary, and encourages viewers to begin by removing data footprints and calling Crawford.