Palantir – меч западной разведки
When we talk about Western and, in particular, American intelligence, we should not remember films about James Bond, about the CIA or about MI6, but first of all about the company that stands at the forefront of the invisible struggle for American interests around the world – Palantir.
Officially, it is “a company that creates software that allows organizations to effectively integrate their data, solutions and operations.” The description is extremely vague, but in fact – this is a company that develops software to meet the needs and interests of American intelligence and the army, and it works in the interests of such organizations as the FBI, CIA, MI6, Interpol. The company is also a staunch advocate for the New World Order (NWO), as it develops software that allows you to track every person by their face, “and they don’t even need your permission to do it.” Naturally, in addition to the organizations listed above, this company also works with more than 600 law enforcement agencies, or, in Russian, law enforcement agencies.
This is such a dynamic introduction. Let us now analyze in detail the activities of this organization and the products that it manufactures, and how a particular product helps in achieving the openly declared goals of both this organization and those it helps.
Origins of the organization
Palantir was founded on an investment from CIA venture capital firm In-Q-Tel, whose senior partner sits on the board of directors of Metabiota, a company that has played a central role in all anti-fraud operations, from developing COVID in the CPC lab to advising UN WHO policy. It is described in more detail here.The company itself in the article is named no more, but no less than “data-mining juggernaut”. Palantir is also directly linked to the Manhattan Institute, which was founded by William Casey, director of the CIA, and Anthony Fisher, founder of free market think tanks such as the Atlas Network and the Institute of Economic Affairs (“the UK’s most influential think tank”). Fisher was also associated with the Fabian Society’s London School of Economics. In the future, they will directly sponsor the Clearview AI project and involve their specialists in its creation.
Palantir lives by the realities of its, without exaggeration, extremely powerful clients: the NSA, the FBI and the CIA – the first investors through the venture capital fund In-Q-Tel – along with an alphabetical hodgepodge of other American counterterrorism and military agencies . Over the past five years, Palantir has become a leading company in the mining of massive amounts of data for intelligence and law enforcement applications. It has a slick API and coders who set up their programs instantly at customer headquarters. Palantir turns “dirty swamps of information” into intuitive mind maps, histograms, and mind maps. The so-called “deployed engineers” need only a few days to review, tag and integrate every piece of customer data,
Clearview AI and PayPal
Since we started with NWO and facial recognition technologies, let’s talk about this. This software works by mass collection of photos from public social networks, including Russian ones. Clearview AI is funded by Peter Thiel, who was Facebook’s first outside investor and co-founder of PayPal. He is also the co-founder of Palantir, an artificial intelligence corporation used by the US intelligence services and the Department of Defense. According to General Mattis, “[Palantir] has developed revolutionary technologies that help us make better decisions in war zones. You are giving us the benefits we need right now.” [Source: Palantir website].
Thiel also funded the Moldbug / Curtis Yarvin “Tlon” cryptocurrency startup , also known as the de facto founder of the neo-reaction or “dark enlightenment” ideology, and his dad was “in foreign service”, allegedly in the CIA. It is also funny that in 2020/2021 in the English segment of the Internet there was a surge in the mention of this very dark enlightenment by the “far right”, who also said that “there is no global conspiracy.”
The money was then used to fund Clearview AI. Also, according to Time magazine , Clearview was also secretly co-founded by far-right activist Chuck Johnson, a Moldbug associate who also founded a bunch of crowdfunding sites to raise money for people like Richard Spencer and Tommy Robinson. And also another Clearview man and Thiel associate, Jeff Giese, advised people in 2016 to fund alt-right organizations with PayPal. PayPal (again founded by Thiel) is now officially partnered with ADL and uses private user transaction data to map “nets of hate” and identify misguided people: “Information collected through this research initiative will be widely shared within the financial industry, as well as among politicians and law enforcement.”According to “former white supremacist” Cathy McHugh, who happened to be “at the right time in the right place” to witness and report on many of the Alt Right’s machinations, Johnson said Clearview’s goal is to “identify every illegal immigrant in the country .” Let’s quote:
“He told me they had a way to identify every illegal immigrant in the country […] He mentioned facial recognition technology and demanded that I call Steven Miller because he knew Steven Miller truly believed in it” – McHugh
But various “racists” and “anti-Semites” also worked for Clearview. For example, Ricky Vaughn, aka Douglas Mackie, was a contract consultant for Clearview. He advertised the tool to Paul Nelen, who allegedly planned to use it to “survey the opposition” (actually spy on them). Clearview allegedly fired Ricky after he was doxed by Nelen due to a controversy over Clearview (Nelen claimed that Vaughn did not deliver the services he promised).
In fact, it is possible, although somewhat speculative, to say that American intelligence agencies are behind the origins of the concept of cryptocurrencies. In the future, we will understand even better for what purposes this was done, in addition to those described above.
financial intelligence
Is it necessary to mention at all – or is it obvious – that everything written is directly related to the recent news about some kind of American system of tracking financial flows , which covers more than 20 countries?
Hundreds of US federal, state, and local law enforcement agencies have access, without court oversight, to a database of more than 150 million person-to-person money transfers in the US and more than 20 countries, according to internal program documents and an investigation by Senator Ron Wyden. The program covers data from numerous Caribbean and Latin American countries in addition to Canada, China, France, Malaysia, Spain, Thailand, Ukraine, and the US Virgin Islands. Some internal translations are also included in the dataset.
The database, hosted by a little-known non-profit called the Transaction Record Analysis Center (TRAC), was created by the Arizona Attorney’s Office in 2014 as part of a settlement with Western Union to combat cross-border drug and human trafficking. from Mexico. It has since expanded to allow over 600 law enforcement officers (what a coincidence!) – from federal agencies like the Federal Bureau of Investigation, the Drug Enforcement Administration, and Immigration and Customs Enforcement to small town police departments in almost every state – to track the movement of funds through money services between the US and countries around the world.
TRAC data includes the full names of the sender and recipient, as well as the amount of the transaction. Rich Lebel, director of TRAC, said the program has uncovered hundreds of leads and solved hundreds of crimes related to drug cartels and other money laundering criminals, as well as uncovered money flow patterns that help law enforcement gain a better understanding of smuggling networks. .
” It’s a tool for law enforcement investigations ,” Mr. Lebel said. ” We do not broadcast it to the whole world, but we do not run from it and do not hide from it .” Mr. Widen, an Oregon Democrat, said TRAC allows the government to “serve itself a smorgasbord of Americans’ personal financial data, bypassing normal American privacy protections.”
Internal records, including minutes of TRAC meetings and copies of 140 subpoenas from the Arizona attorney general, were obtained by the American Civil Liberties Union and reviewed by The Wall Street Journal. They show that any authorized law enforcement agency can request data without a warrant to examine people’s transactions within the US for money laundering and other crimes. One slide prepared by a TRAC investigator shows how these programs can be used to scan categories such as “Middle Eastern/Arabic names” in bulk transaction records.
We have no doubt that Palantir is directly involved in the architecture of this financial surveillance system. In particular, it can help to map financial flows, charts, draw up criteria for blocking financial transfers and test them with impressive statistics. Cyber detectives are in full swing catching ultra-right radicals also based on information not only from Palantir, but also from this system of control and surveillance of finances. There is also no doubt that this system was in full swing during the 2020 BLM pogroms, controlling the sponsorship of black terrorists. Given that we know from open sources, God forbid, 10% of the activities of this system, these assumptions seem to us not at all assumptions, but facts.
The fight against far-right radicalism
We learned a lot about this from the first point about Clearview, but let’s paint the picture to the end, completing the details, and give the floor to people directly associated with Palantir.
” You’d have a far-right government in every country in Europe if it wasn’t for us ,” reads a catchy headline in a Swedish newspaper. We provide a link to the article. Swedish state television was in Davos and they took the opportunity to interview Alex Karp, the head of technology company Palantir. They don’t encrypt, they don’t even try.
What did he say there? Yes, a lot. Palantir has developed artificial intelligence technology for the US intelligence services and is now working with the Ukrainian military to counter the Russian invasion. We will also talk about this, but now about something else. What is more interesting is COVID. After a mandatory COVID shot, he tells a reporter about one of his AI products:
“This product has stopped major terrorist attacks several times a year… And I believe… I am most proud of the fact that… if these attacks happened, there would be a far-right government in every country in Europe … and especially in [Scandinavian countries].”
What Karp seems to be saying is that migrants would cause so many terrorist attacks that every country in Europe would elect a “far-right” government to put an end to this madness.
And in fact, what else is he talking about here?
1) Mass immigration is such a bad idea that you need the latest AI technology to prevent a civil war. (And even with such technology, mass immigration is destroying Europe.) How did they say in our Ministry of Internal Affairs, “we can’t get away from this”? We’re definitely not going to.
2) The correct answer would be to elect “far-right” governments to end this problem. In fact, this is exactly what people would have done if not for artificial intelligence technology and the genocide of the white population in Europe by the army and police.
3) What does this say about European “democracy”? European countries need to elect far-right governments, but the ruling class is using the latest AI technology and repressive machinery to prevent this.
Interesting conclusions that follow directly from Karp’s words.
political lobbying
This story will be quite old, from the distant 2011-2013, but it shows the capabilities and ambitions of this organization.
Palantir once resorted to traditional tactics to strengthen its position in Washington. In 2011, she spent about $300,000 on wall-to-wall advertising in metro stations including L’Enfant Plaza and Pentagon. This was probably the first exposure of thousands of Washington residents to a shady company. During the last election cycle, Palantir employees donated more than $92,000 to campaigns, a record for the company.
Palantir has also stepped up its lobbying efforts. Last year (as of 2011, ie 2010), when the company was trying to gain access to an important military program in Afghanistan, at least half a dozen members of Congress intervened and tried to pressure the military to give Palantir a chance. The army resisted and gave the contract to its main competitor. But the fact that Palantir was able to convince lawmakers so effectively shows that it has learned to play a tough game in Washington.
As of 2013, Palantir was used by at least 12 groups in the US government, including the CIA, DHS, NSA, FBI, CDC, Marine Corps, Air Force, Special Operations Command, West Point, Recovery Accountability and Transparency Council, and the National Center for Missing and Exploited Children. The Centers for Medicaid and Medicare Services planned to pilot the use of Palantir in 2013 to investigate reports received through the hotline. The second test was conducted by the same organization to identify potentially fraudulent health care providers in the southern region of the United States.
However, as of 2013, not all parts of the armed forces were using the Palantir. The US Army has developed its own $2.3 billion data analysis tool called the Distributed Common Ground System, but it is not thought to be very popular. The leaked document cites a 2012 study in which 96% of fighters surveyed in Afghanistan recommended Palantir.
The US military has used the Palantir with great success. The Pentagon used his software to track patterns in roadside bombing and was able to deduce, for example, that garage door openers were used as remote detonators. With Palantir, the Marines were then able and now are able to download DNA samples from remote locations and use the information gathered from years of fingerprinting and DNA collection. Results come almost instantly. Without Palantir, the suspects would have already moved elsewhere by the time the agents got the results.
As of 2012, some current and former government officials say that Palantir’s star has faded in the intelligence community. They complain that the software has a hard time parsing very large databases and that it takes a long time upstream to get the information into a format that Palantir can use.
Now all these disadvantages have been completely leveled. It was 2023.
Help to Ukraine and the Armed Forces
Two Ukrainian soldiers look at a laptop operated by a Ukrainian technician using software provided by US technology company Palantir. On the screen are detailed digital maps of the Bakhmut battlefield in eastern Ukraine overlaid with other targeting data, most of it from commercial satellites. As we lean closer, we see the jagged trenches on the Bakhmut Front, where Russian and Ukrainian forces are separated by several hundred yards in one of the bloodiest battles of the war. Clicking a computer mouse shows thermal images of Russian and Ukrainian artillery fire; another click reveals a Russian tank, designated “Z”, visible through the picket fence – image uploaded by a Ukrainian spy on the ground. If this were a working war center, rather than a demonstration for a visiting journalist, Ukrainian officers could use a targeting program to select a missile, artillery mount, or armed drone to attack the Russian positions displayed on the screen. The drones could then confirm the strike and the damage estimate would be fed back into the system. This is the “magic war” in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. Ukrainian officers could use a targeting program to select a missile, artillery mount, or armed drone to attack the Russian positions displayed on the screen. The drones could then confirm the strike and the damage estimate would be fed back into the system. This is the “magic war” in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. Ukrainian officers could use a targeting program to select a missile, artillery mount, or armed drone to attack the Russian positions displayed on the screen. The drones could then confirm the strike and the damage estimate would be fed back into the system. This is the “magic war” in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. and the damage estimate would be fed back into the system. This is the “magic war” in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. and the damage estimate would be fed back into the system. This is the “magic war” in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. and the damage estimate would be fed back into the system. This is the “magic war” in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. and the damage estimate would be fed back into the system. This is the “magic war” in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. and the damage estimate would be fed back into the system. This is the “magic war” in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat. and the damage estimate would be fed back into the system. This is the “magic war” in the Ukraine conflict – a secret digital campaign that has never been revealed in detail – and is the main reason why David defeats Goliath. Ukrainians combine their manly fighting spirit with the most advanced intelligence and control software ever used in combat.
So begins an article dedicated to helping Palantir Ukrainian soldiers. At first, Ukrainians refrained from using the company’s services “because it is too closely connected with the US government and they might see something confidential,” but then they were forced to use their services.
“Karp responded to criticism of the company (about the comprehensive surveillance and the amount of tracked data – approx. ed.) In his email sent to me (some digital activists – approx. ed.) Last week: “Silicon Valley screamed been on us for more than a decade, and that hasn’t made the world any less dangerous. We have created software products that have made America and its allies stronger – and we are proud of it.”
And Ukraine has changed the political landscape in Silicon Valley. For Karp and many other tech executives, this is a “good war” that has forced many companies to aggressively use their tools. This public-private partnership is one of the keys to Ukraine’s success. But it obscures many important questions: How dependent should countries be on entrepreneurs whose political views can change? We may welcome the use of these tools in “good” wars, but what about bad wars? And what about the fact that private instruments could be turned against the governments that helped create them?
As we can see, American intelligence is not at all worried about the fact that it openly interferes in the political affairs of other countries, especially in the war against Russia. digital war.
This is algorithmic warfare, as Karp says. Using a digital model of the battlefield, commanders can penetrate the proverbial “fog of war”. By applying artificial intelligence to analyze sensor data, NATO advisers outside of Ukraine can quickly answer key battlefield questions: where are allied forces? Where is the enemy? What weapon will be most effective against enemy positions? They can then relay accurate enemy location information to Ukrainian commanders on the ground. And after taking action, they can evaluate how accurate their intelligence was and update the system.
Data powers this new engine of war – and the system is constantly updated. After each kinetic strike, the combat damage estimate is fed back into the digital network to strengthen the prediction models. This is not an automated battlefield and still has layers and chimneys. The system uses a limited set of AI sensors and tools, some of which are developed by Ukraine, due in part to classification restrictions. A larger external system can process highly classified data securely, with cyber protection and limited access, and then transmit enemy location data to Ukraine for action.
To imagine how this works in practice, consider Ukraine’s recent success in capturing Kherson. The Ukrainians had accurate intelligence about where the units of the Russian Armed Forces were moving, and the ability to deliver an accurate strike with long-range fire from HIMARS. This was made possible by the fact that they had intelligence about the location of the enemy, processed by NATO outside the country, and then transferred to commanders on the ground. Armed with this information, the Ukrainians were able to go on the offensive—to move, communicate, and quickly adapt to Russian defensive maneuvers and counterattacks.
In our Kherson example, Palantir estimates that about 40 commercial satellites will pass over the area within 24 hours. Palantir typically uses fewer than a dozen commercial satellites, but it can expand that range to provide images from up to 306 commercial satellites capable of focusing up to 3.3 meters away. Soldiers in combat can use portable tablets to request more coverage if they need it. Western military and intelligence services are working closely with Ukrainians on the ground to facilitate this exchange of information, the British official said. The last important link in this system is broadband, provided from above by a network of about 2,500 Starlink satellites in low Earth orbit. This system, owned by Elon Musk’s SpaceX,
Palantir Methodology
“Okay,” you think, “this is a brilliant corporation that knows everything about everyone and everywhere at any given time, but how exactly do they do this? Perhaps if we cannot find out about specific tools, then there is some kind of methodology ?”. Of course there is, and we know it.
Palantir specializes in . Nowadays it is very easy to stick the proud label of an believe analyst on yourself and sincerely after that that you are something serious. But in Palantir under analysisvery specific and specific things are understood, namely: the creation of a software platform that allows people to take any data that matters to them and understand it more easily and thoroughly than ever before, using concepts that they already understand. And they are applying that vision early on to solve problems in the financial sector and the government intelligence community. And then, of course, in the armies of their “allied” countries. But they do not analyze themselves. They don’t develop winning trading strategies or catch terrorists. They write software for people who accomplish these and many other feats. And just now these people are called analysts.
So what is analysis? So, analysis is all that is needed to extract understanding from information. Let’s explain this definition.
With information, everything is quite easy: it is data. They are stored in a relational or any other database or as files and you can easily query them. It is of two types – structured and unstructured. And there are a lot of them in the modern world – even too many for existing tools to comprehend them.
Understanding is more difficult. Understanding is something that only humans can generate (yet), and understanding this is essential for any organization that wants to do analysis right. Thus, the data analysis is how to bring huge amounts of information into productive contact with human (or, in the future, artificial) intelligence. In other words, the task is how to make the analyst work productively, “turn on” him.
From an analyst perspective, there are five main characteristics of an analysis platform:
1. First, and most importantly, the analyst must keep the instrument under control. In other words, the primary way to interact with the analysis tool should be human-driven queries. While automated approaches can complement the human approach, there is no substitute for human intelligence. Unless you put a human behind the wheel, the system can never be flexible or creative enough to unleash truly original ideas. Artificial intelligence just hasn’t reached that level yet. For now.
2. The ability to generalize large amounts of data. In part, this is what is traditionally called data mining: a largely automated approach—using machine learning or other statistical methods—to process large amounts of data at once and extract nuggets that reflect something of interest in the data. Unlike Palantir, traditional approaches have focused almost exclusively on this aspect of the analysis.
3. The ability to visualize large amounts of data. Here, the analyst needs interesting and informative ways to graphically represent data in order to make it easier to understand. The analyst wants to get not just a summary of the data, but a nuanced look at what is going on inside these datasets: What is the general shape of the distribution? What are emissions? What are the important structures in data? Which of these matters more and which less? Maybe something completely useless? And so on.
4. Ability to quickly iterate. This means that the analyst can ask a question, get an answer, and then quickly ask either a variant of the original question or a follow-up question that depends on the answer to the original question. This fast iterative process allows the analyst to quickly test hypotheses and develop theories about what is happening in the data, and thus learn what is happening in the world.
5. Possibility of cooperation with other analysts. Dealing with terabytes of data, especially if it includes multiple types of data, is not just the work of one person. Any serious organization about understanding the world needs a team of analysts who can work together as more than the sum of the parts. This requires that one analyst can easily share the results of his analysis with colleagues.
This is what analysis looks like for an analyst, or rather, this is how it should look in an ideal world. What exactly is Palantir doing to subordinate analysis to such a vision?
Probably the most difficult most they solve is data modeling – the process of figuring out what types of data are relevant to the domain, determining what they represent in the world, and deciding how to represent them in the system. They make sure that the data model (ontology) is flexible and dynamic, and that it reflects the concepts that people naturally use when talking about a certain area. This is not an easy task, as it touches the very foundations of human thinking, but Palantir manages to do it. In finance, their main data types include financial instruments, dates, portfolios, indices, and strategies – the same things financial researchers or gamblers in the market think about, talk about, and reason about. In the intelligence field, their main data types include people,
Data modeling, data generalization and data visualization are the main disciplines for working with large datasets. Human-driven querying, rapid iteration, and collaboration are multipliers that take the capabilities unlocked by core disciplines to new heights. When all these parts come together to form a coherent system, the result is an analytics platform that is both very general and very powerful.
This is exactly what Palantir means when they say they are changing the way people think about data. And if we take into account the current capabilities and prospects of neural networks, then the prospects of this organization are also understandable. Frighteningly understandable.
Welcome to the future of analysis. Welcome to the new world