Tag: technology

Data Collection Can Be Effective and Legal

MEMORANDUM FOR: The President
FROM: Veteran Intelligence Professionals for Sanity (VIPS)
SUBJECT: Data Collection Can Be Effective and Legal

Introduction

It’s an Artificial Conundrum

It is not necessary to make an end-run around the U.S. Constitution to thwart terrorism and other crimes.

Those claiming otherwise have been far from candid – especially since June 2013, when Edward Snowden revealed gross violations of the Fourth Amendment by NSA’s bulk electronic collection. U.S. citizens have been widely misled into believing that their Constitutional right to privacy had to yield to a superseding need to combat terrorism.

The choice was presented as an Either-Or conundrum. In what follows, we will show that this is a false choice. Rather, the “choice” can be a Both-And. In sum, all that is needed is to place advanced technology that has been already demonstrated into the hands of officials not driven by lust for a cushy retirement.

Sophisticated collection and processing technology that also protects the right to privacy has been available for decades, enabling highly efficient and discriminating collection. Despite that, top officials have opted for quasi-legal, cumbersome, ineffective – and wildly expensive – technology that has done little more than line the pockets of contractors and “old-friend” retirees.

U.S. officials have been caught lying under oath – with impunity – with false claims about the effectiveness of the intrusive, high price-tag technology they procured and implemented.

In the Annex to this Memo we briefly portray the illustrative behavior of one such senior official. We do so in the belief that a short case study may shed light on the apparent motivation of many senior officials who seem to take far too lightly their oath to defend and protect the Constitution of the United States.

We took the same oath. It has no expiration date.

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ICE Is Using A New Facial Recognition App To Identify People, Leaked Emails Show

Immigration and Customs Enforcement (ICE) is using a new mobile phone app that can identify someone based on their fingerprints or face by simply pointing a smartphone camera at them, according to internal ICE emails viewed by 404 Media. The underlying system used for the facial recognition component of the app is ordinarily used when people enter or exit the U.S. Now, that system is being used inside the U.S. by ICE to identify people in the field.

The news highlights the Trump administration’s growing use of sophisticated technology for its mass deportation efforts and ICE’s enforcement of its arrest quotas. The document also shows how biometric systems built for one reason can be repurposed for another, a constant fear and critique from civil liberties proponents of facial recognition tools.

“Face recognition technology is notoriously unreliable, frequently generating false matches and resulting in a number of known wrongful arrests across the country. Immigration agents relying on this technology to try to identify people on the street is a recipe for disaster. Congress has never authorized DHS to use face recognition technology in this way, and the agency should shut this dangerous experiment down,” Nathan Freed Wessler, deputy director of the American Civil Liberties Union’s Speech, Privacy, and Technology Project, told 404 Media in an email.

“The Mobile Fortify App empowers users with real-time biometric identity verification capabilities utilizing contactless fingerprints and facial images captured by the camera on an ICE issued cell phone without a secondary collection device,” one of the emails, which was sent to all Enforcement and Removal Operations (ERO) personnel and seen by 404 Media, reads. ERO is the section of ICE specifically focused on deporting people.

The idea is for ICE to use this new tool to identify people whose identity ICE officers do not know. “This information can be used to identify unknown subjects in the field,” the email continues. “Officers are reminded that the fingerprint matching is currently the most accurate biometric indicator available in the application,” it adds, indicating that the fingerprint functionality is more accurate than the facial recognition component.

The emails also show the app has a “training range,” a feature that lets ICE officers practice capturing facial images and fingerprints in a “training non-live environment.”

A video posted to social media this month shows apparent ICE officers carefully pointing their phones at a protester in his vehicle, but it is not clear if the officers were taking ordinary photos or using this tool.

Broadly, facial recognition tools work by taking one image to be tested and comparing it to a database of other images. Clearview AI for example, a commercially available facial recognition tool which is used by law enforcement but which doesn’t appear to be related to this ICE tool, compares a photo to a massive database of peoples’ photos scraped from social media and the wider web.

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Hertz Uses AI-Powered Scanners to Spot Tiny Damage It Can Charge Customers For

Hertz customers are complaining they are being charged exorbitant fees for tiny scrapes and dents detected by the rental car company’s new AI scanners. One man claims he was billed $440 for a one-inch scuff one on a wheel that he didn’t even notice.

The New York Post reports that Hertz, one of the world’s largest rental car companies, has recently implemented AI-powered scanners at its locations to detect damage on returned vehicles. While the technology, developed by Israel-based firm UVeye, aims to bring greater transparency and efficiency to the car inspection process, many customers are expressing frustration over the hundreds of dollars in charges they are receiving for minor scrapes and dents.

The UVeye scanners, which Hertz plans to roll out at over 100 U.S. airport locations by the end of the year, perform full-body vehicle scans in just seconds. The AI technology can detect damage such as dents, scrapes, and cracked glass both before and after a rental. Minutes after returning their vehicles, customers are informed of any damage detected and the associated fees.

One customer says he rented a Volkswagen from Hertz-owned Thrifty at the company’s Atlanta airport location, which was the first U.S. store to implement the UVeye technology. Shortly after returning the car, he received a bill for $440, which included $250 for repairs, $125 for “processing,” and $65 for “administration” — all for a one-inch scuff on one of the car’s wheels. Despite being offered a small discount for prompt payment, Patrick refused to accept responsibility for the charge.

Another customer shared a similar experience on Reddit after returning a car to Hertz’s Atlanta location. They were automatically billed $195 for a minor “ding” detected by the AI scanner. The customer reached out to Hertz’s customer service but was told that the company stands by the AI’s assessment.

Many customers are expressing concerns over the lack of transparency in how these fees are calculated and the limited options for disputing the charges. While Hertz provides explanations for the processing and administrative fees, customers find them vague and are frustrated by the absence of live agents to discuss their concerns. The chatbot can flag issues for review, but email responses can take up to 10 days, well after the early-payment discount expires.

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The Spiderweb & The Lion: Subversive Infiltration And US National Security

Over a decade ago, when I was working on force protection issues for Navy air logistics missions, the threat of drone attacks was just beginning to be seriously discussed. We kicked around contingencies and “what ifs,” but those discussions were largely in the background of mission planning. Over the course of the past ten years however, that threat has exploded to the forefront of the military operational planning world and has presented something altogether new in modern warfare.

In the early hours of June 1, 2025, Ukraine’s Security Service (SBU) executed Operation Spiderweb, an audacious drone assault on Russian airfields that destroyed or damaged a number of Russia’s most prized aircraft, including possibly two A-50 early-warning planes and as many as a dozen strategic bombers. Drones, smuggled into Russia over 18 months and concealed in remote-controlled containers, were launched from within Russian territory, catching Moscow’s defenses off guard.

Just days later, on June 13, 2025, Israel’s Mossad orchestrated a similarly bold strike, dubbed Rising Lion, targeting Iran’s nuclear and missile programs. Mossad agents, operating covertly within Iran, established drone bases near Tehran and smuggled precision weapons to dismantle air defenses and eliminate key figures, including Revolutionary Guards commanders and at least one senior nuclear scientist. Allow me to emphasize, the drone attacks came from within Russia and from within Iran.

These operations quite possibly signal a new era of warfare: patient, subversive infiltration by committed adversaries willing to play the long game.

The United States—due to years of lax borders and insufficient oversight of foreign land purchases—is alarmingly vulnerable to such tactics, especially from a strategic rival like China, whose land acquisitions near U.S. military bases pose a clear risk.

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US reportedly plans to curb sales of AI GPUs to Malaysia and Thailand to prevent smuggling to China

The U.S. government is preparing a new set of export rules that would tighten control over the exports of advanced Nvidia AI GPUs to Malaysia and Thailand, in a bid to prevent the re-export of these components to China amid existing bans, according to Bloomberg.

A preliminary version of the new export rule, reported by Bloomberg, states that the U.S. Commerce Department would require companies to obtain a U.S. government export license before sending AI GPUs to the two Southeast Asian nations. The plan has not been finalized and may change, yet it may represent another step towards limiting Chinese entities’ access to high-performance Nvidia AI GPUs.

Malaysia and Thailand are not major suspected hubs for the smuggling of Nvidia’s GPUs, unlike Singapore, which is officially listed as one of Nvidia’s primary sources of revenue, raising questions about whether the products sold to Singapore-based entities eventually end up in China. Indeed, Nvidia denies that its AI GPUs formally sold to Singapore-based entities could end up in China, arguing that they are sold to entities officially based in Singapore, but they are destined elsewhere. Nonetheless, it is widely believed that Singapore is a hub for smuggling high-end Nvidia GPUs to China and other sanctioned countries.

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Cloudflare offers to make AI pay to crawl websites

Cloudflare will block AI bots from crawling websites by default for new customers, and broker pay-per-crawl deals between its customers and bot operators.

Cloudflare will block AI crawlers from accessing new customers’ websites without permission starting July 1 and is testing a way to make AI pay for the data it gathers.

Furthermore, website owners can now decide who crawls their sites, and for what purpose, and AI companies can reveal via Cloudflare whether the data they gather will be used for training, inference, or search, to help owners decide whether to allow the crawl.

The company began enabling its customers to choose to block AI crawlers in July 2024. Since then, it said, over one million customers have opted in.

“For decades, the Internet has operated on a simple exchange: search engines index content and direct users back to original websites, generating traffic and ad revenue for websites of all sizes. This cycle rewards creators that produce quality content with money and a following, while helping users discover new and interesting information,” Cloudflare said in its announcement. “That model is now broken. AI crawlers collect content like text, articles, and images to generate answers, without sending visitors to the original source — depriving content creators of revenue, and the satisfaction of knowing someone is reading their content. If the incentive to create original, quality content disappears, society ends up losing, and the future of the Internet is at risk.”

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Echoed Chambers Of The Mind: AI, Psychosis, And The War On Discernment

In a time when reality splinters across digital fault lines, a strange new phenomenon is quietly reshaping human thought: the algorithmic mirror. Artificial intelligence, once hailed as a neutral assistant, has become a powerful reflector of belief—amplifying, reinforcing, and in some cases, intoxicating the user with their own worldview.

While this might seem like a technological quirk, the implications are deeply spiritual, psychological, and societal.

What happens when a mind, already vulnerable, begins to believe its own reflected image? And what happens when an entire generation, raised without the tools of discernment, steps into a world of AI companions and curated realities?

Are we still capable of free thinking—or has discernment died in the digital age?

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Skynet is coming: the malware that attacks Artificial Intelligence!

An unusual example of malicious code has been discovered in a real computing environment, which for the first time recorded an attempt to attack not classical defense mechanisms, but directly artificial intelligence systems. We are talking about the prompt injection technique, i.e. the introduction of hidden instructions capable of compromising the functioning of language models, which are increasingly used for the automatic analysis of suspicious files. This case is the first concrete confirmation that malware authors are starting to perceive neural networks as an additional vulnerable target.

The file was uploaded to the VirusTotal platform in early June 2025. It was sent anonymously by a Dutch user via a standard web interface. Upon examining its contents, researchers discovered that an unusual string of text was encrypted within the program, an attempt to interfere with the operation of artificial intelligence tools used for reverse engineering and automatic code verification.

The authors of the malware called it Skynet, a reference to the well-known botnet based on the Zeus Trojan, which has been actively used since 2012 for DDoS attacks and covert cryptocurrency mining. However, the new Skynet, in its functionality, resembles more an experimental assembly or an empty object than a tool ready for mass use.

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Big Beautiful Bill Will Massively Expand The Digital Biometric Surveillance State

Bill allocates billions for digital tracking systems nationwide, mostly under the guise of ‘border security.’ All major state and federal highways will be monitored 24/7 in real time.

The Senate version of H.R. 1, otherwise known as the One Big Beautiful Bill, reflects an aggressive expansion of AI-driven federal biometric surveillance infrastructure under the Trump administration’s second term.

The website Biometric Update, which reports on all things digital and biometric, posted an article on June 30 that points out how President Trump’s BBB will expand the digital surveillance state exponentially and place the U.S. on an irreversible course toward a biometric slave state that tracks the movement of everyone, everywhere.

According to the article, the 940-page bill does much more than allocate dollars; it would codify a vision of the national security state where biometric surveillance, artificial intelligence, and immigration enforcement converge at unprecedented scale.

The bill passed the Senate on Tuesday, July 1, after earlier passing the House and now returns to the House for reconciliation. Trump has said he’d like it on his desk by July 4.

According to Biometric Update:

“Passed out of the House along party lines earlier this year, the Senate version now reflects the Trump administration’s deepening focus on internal surveillance and deportation infrastructure. Although a final vote is pending in the Senate and will need to be passed by the House, what’s already in the legislative text that likely will remain intact is deeply consequential for civil liberties, biometric privacy, and immigration governance.”

It goes on:

“At its core, H.R.1 dedicates over $175 billion in immigration-related funding for fiscal year 2025 alone, which is by far the largest such allocation in U.S. history and represents a dramatic technology buildout. U.S. Immigration and Customs Enforcement (ICE) would receive nearly $30 billion in funding through 2029, earmarked not only for personnel and deportation operations, but also for digital modernization efforts that lean heavily on AI and biometric surveillance. More than $5.2 billion within ICE’s share is dedicated to infrastructure modernization, including $2.5 billion specifically for artificial intelligence systems, biometric data collection platforms, and digital case tracking.”

DHS officials familiar with the bill’s intent say the funds are aimed at expanding ICE’s access to mobile biometric tools, integrating facial recognition into field operations, automating risk scoring for individuals in deportation proceedings, and accelerating case processing through AI-driven platforms.

This massive digital surveillance buildout is being done under the guise of immigration enforcement and border security. But that’s a ruse. A psyop.

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The Best-Selling Apps Made By Israeli Spies

The developers behind hundreds of Android and iPhone apps with billions of downloads are former Israeli spies whose apps are generating significant revenues for Israel’s genocidal war economy.

The apps I’ve identified range from innocuous image and video editing apps to casual games, and most users won’t be aware they’re installing Israeli products on their phones. Many of these app developers operate under the radar, their ownership structures are opaque and the identity of their owners isn’t commonly known.

The identification of these apps should add another frontier to the boycott, divest, sanctions movement, as it provides a straightforward way for ordinary people to avoid Israeli products that contribute to apartheid, genocide and ethnic cleansing.

The proliferation of these apps on Apple’s App Store and the Google Play Store also raises questions over privacy and the harvesting of personal data, given the reputation of Israeli technology and past scandals involving spyware being smuggled onto devices by apps made in Israel.

One of the most significant Israeli app holding companies and developers is ZipoApps, whose model is to buy-out and monetise apps at a large scale. The apps owned by Zipo (which also goes by the name Rounds.com) include a suite of photo and video editing apps that have received hundreds of millions of total installs. Individual apps include Collage Maker Photo Editor and Instasquare Photo Editor: Neon, both of which have received more than 50 million downloads from the Google Play Store. Other ZipoApps products include baby photo editing and retouching tools. In 2022, the founder and CEO of Zipo, Gal Avidor, told an interviewer (in his only interview to date), that all the founders of the company are former Unit 8200 Israeli intelligence personnel. On Reddit, users have complained about ZipoApps approach to privacy and data mining. One popular group of tools known as Simple Gallery went from free and open source to a paid product with ads and trackers just one week after ZipoApps acquired it.

Another Israeli-owned photo editing app on the Play Store is the AI-powered Bazaart, which was founded by Dror Yaffe and Stas Goferman, two former IDF intelligence officers. Goferman far exceeded his mandatory service, spending a decade in the IDF up to 2011.

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