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The Government Uses Targeted Advertising to Track Your Location. Here’s What We Need to Do.

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from the protect-yourself dept

We’ve all had the unsettling experience of seeing an ad online that reveals just how much advertisers know about our lives. You’re right to be disturbed. Those very same online ad systems have been used by the government to warrantlessly track peoples’ locations, new reporting has confirmed.

For years, the internet advertising industry has been sucking up our data, including our location data, to serve us “more relevant ads.” At the same time, we know that federal law enforcement agencies have been buying up our location data from shady data brokers that most people have never heard of.

Now, a new report gives us direct evidence that Customs and Border Protection (CBP) has used location data taken from the internet advertising ecosystem to track phones. In a document uncovered by 404 Media, CBP admits what we’ve been saying for years: The technical systems powering creepy targeted ads also allow federal agencies to track your location.

The document acknowledges that a program by the agency to use “commercially available marketing location data” for surveillance drew from the process used to select the targeted ads shown to you on nearly every website and app you visit. In this blog post, we’ll tell you what this process is, how it can and is being used for state surveillance, and what can be done about it—by individuals, by lawmakers, and by the tech companies that enable these abuses.

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Advertising Surveillance Enables Government Surveillance

The online advertising industry has built a massive surveillance machine, and the government can co-opt it to spy on us. 

In the absence of strong privacy laws, surveillance-based advertising has become the norm online. Companies track our online and offline activity, then share it with ad tech companies and data brokers to help target ads. Law enforcement agencies take advantage of this advertising system to buy information about us that they would normally need a warrant for, like location data. They rely on the multi-billion-dollar data broker industry to buy location data harvested from people’s smartphones.

We’ve known for years that location data brokers are one part of federal law enforcement’s massive surveillance arsenal, including immigration enforcement agencies like CBP and Immigration and Customs Enforcement (ICE). ICE, CBP and the FBI have purchased location data from the data broker Venntell and used it to identify immigrants who were later arrested. Last year, ICE purchased a spy tool called Webloc that gathers the locations of millions of phones and makes it easy to search for phones within specific geographic areas over a period of time. Webloc also allows them to filter location data by the unique advertising IDs that Apple and Google assign to our phones.

But a document recently obtained by 404 Media is the first time CBP has acknowledged the location data it buys is partially sourced from the system powering nearly every ad you see online: real-time bidding (RTB). As CBP puts it, “RTB-sourced location data is recorded when an advertisement is served.” 

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Even though this document is about a 2019-2021 pilot use of this data, CBP and other federal agencies have continued to purchase and use commercially obtained location data. ICE has purchased location tracking tools since then and recently requested information on “Ad Tech” tools it could use for investigations. 

The CBP document acknowledges two sources of location data that it relies on: software development kits (SDKs) and RTB, both methods of location-tracking that EFF has written about before. Apps for weather, navigation, dating, fitness, and “family safety” often request location permissions to enable key features. But once an app has access to your location, it could share it with data brokers directly through SDKs or indirectly (and often without the app developers’ knowledge) through RTB. Data brokers can collect location data from SDKs that they pay developers to put in their apps. When relying on RTB, data brokers don’t need any direct relationship with the apps and websites they’re collecting location data from. RTB is facilitated by ad companies that are already plugged into most websites and apps. 

How Real-Time Bidding Works

RTB is the process by which most websites and apps auction off their ad space. Unfortunately, the milliseconds-long auctions that determine which ads you see also expose your information, including location data, to thousands of companies a day. At a high-level, here’s how RTB works:

  1. The moment you visit a website or app with ad space, it asks an ad tech company to determine which ads to display for you. 
  2. This ad tech company packages all the information they can gather about you into a “bid request” and broadcasts it to thousands of potential advertisers. 
  3. The bid request may contain information like your unique advertising ID, your GPS coordinates, IP address, device details, inferred interests, demographic information, and the app or website you’re visiting. The information in bid requests is called “bidstream data” and typically includes identifiers that can be linked to real people. 
  4. Advertisers use the personal information in each bid request, along with data profiles they’ve built about you over time, to decide whether to bid on the ad space. 
  5. The highest bidder gets to display an ad for you, but advertisers (or the adtech companies that represent them) can collect your bidstream data regardless of whether or not they bid on the ad space.   

A key vulnerability of real-time bidding is that while only one advertiser wins the auction, all participants receive data about the person who would see their ad. As a result, anyone posing as an ad buyer can access a stream of sensitive data about billions of individuals a dayData brokers have taken advantage of this vulnerability to harvest data at a staggering scale. For example, the FTC found that location data broker Mobilewalla collected data on over a billion people, with an estimated 60% sourced from RTB auctions. Leaked data from another location data broker, Gravy Analytics, referenced thousands of apps, including Microsoft apps, Candy Crush, Tinder, Grindr, MyFitnessPal, pregnancy trackers and religious-focused apps. When confronted, several of these apps’ developers said they had never heard of Gravy Analytics. 

As Venntel, one of the location data brokers that has sold to ICE, puts it, “Commercially available bidstream data from the advertising ecosystem has long been one of the most comprehensive sources of real-time location and device data available.” But the privacy harms of RTB are not just a matter of misuse by individual data brokers. RTB auctions broadcast the average person’s data to thousands of companies, hundreds of times per day, with no oversight of how this information is ultimately exploited. Once your information is broadcast through RTB, it’s almost impossible to know who receives it or control how it’s used. 

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What You Can Do To Protect Yourself

Revelations about the government’s exploitation of this location data shows how dangerous online tracking has become, but we’re not powerless. Here are two basic steps you can take to better protect your location data:

  1. Disable your mobile advertising ID (see instructions for iPhone/Android). Apple and Google assign unique advertising IDs to each of their phones. Location data brokers use these advertising IDs to stitch together the information they collect about you from different apps. 
  2. Review apps you’ve granted location permissions to. Apps that have access to your location could share it with other companies, so make sure you’re only granting location permission to apps that really need it in order to function. If you can’t disable location access completely for an app, limit it to only when you have the app open or only approximate location instead of precise location. 

For more tips, check out EFF’s guide to protecting yourself from mobile-device based location tracking. Keep in mind that the security plan that’s best for you will vary in different situations. For example, you may want to take stronger steps to protect your location data when traveling to a sensitive location, like a protest. 

What Tech Companies and Lawmakers Must Do

Legislators and tech companies must act so that individuals don’t bear the burden of defending their data every time they use the internet.

Ad tech companies must reckon with their role in warrantless government surveillance, among other privacy harms. The systems they built for targeted advertising are actively used to track people’s location. The best way to prevent online ads from fueling surveillance is to stop targeting ads based on detailed behavioral profiles. Ads can still be targeted contextually—based on the content people are viewing—without collecting or exposing their sensitive personal information. Short of moving to contextual advertising, tech companies can limit the use of their systems for government location tracking by:

  • Stopping the use of precise location data for targeted advertising. Ad tech companies facilitating ad auctions can and should remove precise location data from bid requests. Ads can be targeted based on people’s coarse location, like the city they’re in, without giving data brokers people’s exact GPS coordinates. Precise location data can reveal where we work, where we live, who we meet, where we protest, where we worship, and more. Broadcasting it to thousands of companies a day through RTB is dangerous.
  • Removing advertising IDs from devices, or at minimum, disabling them by default. Advertising IDs have become a linchpin of the data broker economy and are actively used by law enforcement to track people’s location. Advertising IDs were added to phones in 2012 to let companies track you, and removing them is not a far-fetched idea. When Apple forced apps to request access to people’s advertising IDs starting in 2021 (if you have an iPhone you’ve probably seen the “Ask App Not to Track” pop-ups), 96% of U.S. users opted out, essentially disabling advertising IDs on most iOS devices. One study found that iPhone users were less likely to be victims of financial fraud after Apple implemented this change. Google should follow Apple’s lead and disable advertising IDs by default.

Lawmakers also need to step up to protect their constituents’ privacy. We need strong, federal privacy laws to stop companies from spying on us and selling our personal information. EFF advocates for data privacy legislation with teeth and a ban on ad targeting based on online behavioral profiles, as it creates a financial incentive for companies to track our every move.

Legislators can and must also close the “data broker loophole” on the Fourth Amendment. Instead of obtaining a warrant signed by a judge, law enforcement agencies can just buy location data from private brokers to find out where you’ve been. Last year, Montana became the first state in the U.S. to pass a law blocking the government from buying sensitive data it would otherwise need a warrant to obtain. And in 2024, Senator Ron Wyden’s EFF-endorsed Fourth Amendment is Not for Sale Act passed the House before dying in the Senate. Others should follow suit to stop this end-run around constitutional protections.

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Online behavioral advertising isn’t just creepy–it’s dangerous. It’s wrong that our personal information is being silently harvested, bought by shadow-y data brokers, and sold to anyone who wants to invade our privacy. This latest revelation of warrantless government surveillance should serve as a frightening wakeup call of how dangerous online behavioral advertising  has become.

Reposted from the EFF’s Deeplinks blog.

Filed Under: 4th amendment, advertising, cbp, location data, mass surveillance, privacy, real time bidding, surveillance

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Amazon Leo satellite internet is nearing launch, and it already has big customers to rival Starlink

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Amazon’s long-delayed satellite internet service is finally getting close to actually launching. In his latest letter to shareholders, Amazon CEO Andy Jassy said the company is “on the verge” of launching Leo, Amazon’s low Earth orbit satellite internet service, and expects it to go live in mid-2026.

This puts Amazon much closer to finally challenging SpaceX’s Starlink, even if it is still arriving years later than its biggest rival.

When does the Starlink rival drop?

Jassy said Amazon already has 200 low-orbit satellites in space and plans to add a “few thousand more” in the years ahead. But the first release is set to kick off in the middle of this year. To recall, Leo was originally conceived as Project Kuiper back in 2019, being renamed last year

Amazon has revealed that it has already secured revenue commitments from enterprise and government customers. But this is not a typical consumer broadband play. Jassy claims that Leo will integrate with Amazon Web Services so enterprises and governments can move data back and forth for storage, analytics, and AI. This gives Amazon a very obvious angle against Starlink. Leo isn’t just selling connectivity, it is also selling the broader AWS-powered ecosystem.

Why Amazon thinks it can win people over

Starlink converts might actually be real. The executive said that Delta Air Lines has selected Leo as its future onboard WiFi provider and will begin using it on 500 planes in 2028. Other names mentioned include JetBlue, AT&T, Vodafone, DIRECTV Latin America, Australia’s national broadband network, and NASA, among Leo’s customers.

Amazon’s list of early customers signals to the world that companies are at least willing to bet Leo can become a credible second option in the satellite internet market. But that said, Amazon is still playing catch-up with Starlink, which already has nearly 10,000 satellites in space.

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X’s messaging app, XChat, may be available soon

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XChat is now on the App Store, where its listing says that it’s expected to be available for download on April 17. This isn’t the same IRC app from the early aughts, which you may remember if you’re of a certain age. This is a messaging app specifically for X users. X chief Elon Musk first talked about rolling out a new version of his social network’s direct messaging feature in mid-2025. In a series of posts back then, he said the new version would be encrypted and would feature a “whole new architecture.” He also said all X users were getting XChat in June last year, but Musk is pretty infamous for being overly optimistic about timelines.

Now, instead of an upgraded DM feature on X, users are getting a standalone app. It allows them to chat with anybody on X and call each other across devices. The app is end-to-end encrypted and will let users edit and delete their messages for all participants in the conversation. It will also allow users to block screenshots and enable disappearing messages if they want the sensitive details they send in-chat to vanish within five minutes. The app allows users to create massive group chats with up to 481 members, as well. X promises in the App Store listing that XChat will not have ads and will not be tracking users.

Users can now pre-order XChat for iPhones and iPads so that it automatically downloads on their device when it comes out.

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Equal1 partners with Q-Ctrl for quantum data centre deployment

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The partnership is aiming to deliver a quantum computer that can calibrate and run itself without the need for manual oversight.

Dublin-based quantum computing start-up Equal1 is to partner with Californian quantum infrastructure software maker Q-Ctrl for the deployment of rack-mounted quantum computers in enterprise data centres.

The companies said that together, their technologies will deliver “truly autonomous operation” for “peak performance without manual oversight” to address evolving challenges around performance and maintenance of enterprise quantum computing systems.

By combining Q-Ctrl’s infrastructure software, ‘Boulder Opal Scale Up’, with Equal1’s scalable hardware, a quantum computer will be able to calibrate and run itself without the need for manual oversight and implementation by expert teams, the companies said.

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“Equal1 has already proven that quantum hardware can be compact, rack-mounted and data centre-ready,” said Jason Lynch, CEO of Equal1.

“Our partnership with Q-Ctrl further accelerates our mission by providing a fully autonomous software stack. With Boulder Opal Scale Up integrated into our Bell-series systems, our customers gain a self-optimising quantum accelerator that fits seamlessly into existing IT infrastructure.”

Claimed features offered to prospective data centre customers by the strategic partnership include autonomous operation and calibration of hardware; real-time system monitoring and maintenance for performance; secure local deployments for operation while disconnected from the internet; and “algorithmic enhancement” through compatibility with other Q-Ctrl software.

“To scale quantum computing, we must transition from manual hardware operation by expert teams of PhDs to autonomous functionality when fully deployed in data centres and HPC [high-performance computing] facilities,” said Aravind Ratnam, chief strategy officer at Q-Ctrl.

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“Our partnership with Equal1 achieves this by integrating Q-Ctrl’s AI-driven autonomous calibration directly into their silicon spin qubit quantum systems. Together, these technologies provide HPC users with a seamless experience, enabling quantum processors to operate on equal footing with GPUs and CPUs.”

Equal1, which was founded in 2017 at University College Dublin, says quantum computing using standard silicon is the way to overcome challenges posed by AI to the power and cost thresholds of traditional computers.

In January, it raised $60m through a funding round led by Ireland Strategic Investment Fund, with participation from Atlantic Bridge, the European Innovation Council Fund, Matterwave Ventures, Enterprise Ireland, Elkstone and TNO Ventures.

Its flagship ‘Bell-1’ device was launched in March 2025 and was described as the “first-ever” Irish-made quantum computer as well as the world’s first silicon-based quantum server designed for data centres and high-performance computing.

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Q-Ctrl, founded in 2017, operates partnerships with companies such as IBM, Nvidia and AWS with the goal of making machines “thousands of times more powerful” using “AI-driven control solutions” for the enhancement of quantum computer performance.

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

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Canadian employees targeted in payroll pirate attacks

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Canada hackers

A financially motivated threat actor tracked as Storm-2755 is stealing Canadian employees’ salary payments after hijacking their accounts in payroll redirection (also known as payroll pirate) attacks.

The attackers used malicious Microsoft 365 sign-in pages to steal victims’ authentication tokens and session cookies by redirecting them to domains (e.g., bluegraintours[.]com) hosting malicious web pages (pushed to the top of search engine results through malvertising or SEO poisoning) that masqueraded as Microsoft 365 sign-in forms.

This allowed Storm-2755 to bypass multifactor authentication (MFA) in adversary‑in‑the‑middle (AiTM) attacks by replaying stolen session tokens rather than re-authenticating.

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“Rather than harvesting only usernames and passwords, AiTM frameworks proxy the entire authentication flow in real time, enabling the capture session cookies and OAuth access tokens issued upon successful authentication,” Microsoft explained.

“Due to these tokens representing a fully authenticated session, threat actors can reuse them to gain access to Microsoft services without being prompted for credentials or MFA, effectively bypassing legacy MFA protections not designed to be phishing-resistant.”

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Storm-2755 attack flow
Storm-2755 attack flow (Microsoft)

After gaining access to an employee’s account, the attacker created inbox rules that automatically moved messages from human resources staff containing the words “direct deposit” or “bank” to hidden folders, preventing the victim from seeing the correspondence.

In the next stage, they searched for “payroll,” “HR,” “direct deposit,” and “finance,” then sent emails to human resources staff with the subject line “Question about direct deposit” to trick staff into updating banking information.

​Where social engineering failed, the attacker logged directly into HR software platforms such as Workday, using the stolen session to manually update direct deposit details.

Storm-2755 emailing HR staff
Storm-2755 emailing HR staff (Microsoft)

To harden defenses against AiTM and payroll pirate attacks, Microsoft advises defenders to block legacy authentication protocols and implement phishing-resistant MFA.

If any signs of compromise are detected, they should also revoke compromised tokens and sessions immediately, remove malicious inbox rules, and reset MFA methods and credentials for all affected accounts.

In October, Microsoft disrupted another pirate payroll campaign targeting Workday accounts since March 2025, in which a cybercrime gang tracked as Storm-2657 targeted university employees across the United States to hijack their salary payments.

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​In these attacks, Storm-2657 breached the targets’ accounts via phishing emails and stole MFA codes using AITM tactics, which allowed the threat actors to compromise the victims’ Exchange Online accounts.

Payroll pirate attacks are a variant of business email compromise (BEC) scams that target businesses and individuals who regularly make wire transfers. Last year, the FBI’s Internet Crime Complaint Center (IC3) recorded over 24,000 BEC fraud complaints, resulting in losses exceeding $3 billion, making it the second most lucrative crime type behind investment scams.

Automated pentesting proves the path exists. BAS proves whether your controls stop it. Most teams run one without the other.

This whitepaper maps six validation surfaces, shows where coverage ends, and provides practitioners with three diagnostic questions for any tool evaluation.

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Former Tableau product chief launches Golden Analytics, using AI to challenge the BI old guard

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Francois Ajenstat, Golden Analytics founder and CEO.

Francois Ajenstat has been in business intelligence long enough to see two generational shifts, from the early days at Cognos to the self-service revolution at Tableau, ultimately serving as chief product officer at the Seattle-based data visualization company.

Now he’s launching Golden Analytics, a Seattle-based startup built on the premise that a third shift is underway, and the incumbents aren’t in a position to keep up. 

The company emerged from stealth Tuesday with $7 million in seed funding co-led by NEA and Madrona, with participation from Breakers. The company is building a web-based business intelligence and data visualization platform that Ajenstat says combines the analytical depth of Tableau, the design sensibility of Canva, and the AI-powered workflow of Cursor.

“The current leaders in the space are Tableau, Power BI, Looker, and they’re doing a great job. They’re fantastic products, but they’re bolting on AI as opposed to building with AI at the core,” said Ajenstat, the company’s founder and CEO, in an interview. “And it just doesn’t feel right.”

Core features: In a demo of Golden Analytics on our call, Ajenstat uploaded a raw e-commerce dataset and had a finished dashboard in two clicks. The platform automatically interpreted the data, surfaced insights, suggested questions, and generated visualizations. 

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When he wanted to go deeper, he asked the AI to add a region field to a sales chart, and it complied instantly. He also showed a storytelling agent that generates written narrative analyses, identifying patterns like regional profitability gaps.

Central to the platform is what Ajenstat calls the “slider of autonomy” — users can let the AI do everything, do it all themselves, or land somewhere in between. 

It’s a deliberate contrast to the chatbot-style AI analytics tools that have emerged since ChatGPT, which tend to position themselves as replacements for human analysts. Ajenstat isn’t buying that framing. “It’s about empowering people — whatever they want to do,” he said.

Technical details: The system runs about 120 different large-language model (LLM) calls through an orchestration layer that routes tasks to whichever model fits best, such as Gemini for visual design, Anthropic’s Claude for data analysis, and others. 

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Ajenstat calls it a platform of “AI specialists” rather than a single agent.

Golden itself was built entirely using AI coding tools, with a small team of engineers. Ajenstat, a product leader by background, said he is also contributing to the development using Cursor and Claude Code. “It’s empowering to see how quickly you can build in this era.”

Availability: The company plans to follow a product-led growth model, letting individual users adopt the platform before it spreads within their organizations — similar to the path taken by tools like Cursor and Slack. About a dozen early users are already giving feedback, and Ajenstat said general availability is weeks away. Pricing has not been disclosed.

Background: Ajenstat, the startup’s sole founder, is a first-time CEO after a three-decade career in data analytics. He started out at Cognos, one of the original business intelligence companies, then spent a decade at Microsoft in product roles across SQL Server and Office. 

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He spent 13 years at Tableau, rising from senior director of product management to chief product officer, a role he held for more than seven years, helping guide the company through its IPO and its $15.7 billion acquisition by Salesforce in 2019.

Golden has five full-time employees and a fractional chief technology officer. The team includes engineers from Tableau, Snowflake, Apple, Microsoft, and other companies, drawn by the chance to rethink a category they felt had stalled, Ajenstat explained. 

Investors: NEA’s role in the funding is notable. The firm was an early backer of Tableau. After Ajenstat left the company, he spent nearly two years as an NEA venture advisor while also serving as CPO at Amplitude, the San Francisco-based product analytics company. 

From left, Madrona’s Tim Porter, Golden Analytics founder Francois Ajenstat, and Madrona’s Mark Nelson, flashing the “data rockstar” hand gesture that is a signature of Ajenstat’s keynotes. (Madrona Photo)

The Madrona side of the investment also has deep Tableau ties. Madrona venture partner Mark Nelson served as Tableau’s president and CEO from 2021 to 2022, and managing director Tim Porter has known Ajenstat since his Microsoft SQL Server days.

In a post on LinkedIn, Porter noted that big BI platforms are now controlled by Salesforce, Microsoft, and Google, and have evolved toward the priorities of their parent companies.

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“That’s how large organizations work,” Porter wrote. “But it means the analyst — the person actually doing the work — has been an afterthought for a while now.”

It’s the second analytics startup with deep Tableau roots to emerge this week.

On Monday, we reported on Ridge AI, led by former Tableau product leader Ellie Fields and UW professor Jeffrey Heer, also backed by Madrona’s Porter and Nelson. Ridge is focused on embedded analytics for SaaS companies, a different market than Golden’s broader BI play.

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US Demands Reddit Unmask ICE Critic, Summons Firm To Grand Jury

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An anonymous reader quotes a report from Ars Technica: The Trump administration has stepped up an effort to unmask a Reddit user who criticized Immigration and Customs Enforcement (ICE). After failing to obtain information through a summons issued (PDF) to Reddit, the government reportedly issued a subpoena demanding that Reddit provide the information and appear before a grand jury in Washington, DC. The Intercept described the subpoena today. “According to a subpoena obtained by The Intercept, Reddit has until April 14 to provide a wide range of personal data on one of its users, whom US Immigration and Customs Enforcement agents have been trying unsuccessfully to identify for more than a month,” the article said.

The legal saga began in US District Court for the Northern District of California. On March 12, the anonymous Reddit user whose information is being sought filed a motion (PDF) to quash a summons seeking a host of information from Reddit. The summons was issued by the Department of Homeland Security and directed Reddit to turn information over to an ICE senior special agent. The summons cited authority under 19 U.S. Code 1509, which is part of the Smoot-Hawley Tariff Act of 1930. The motion to quash said the summons is not authorized by the law, which deals with imports of boats, alcoholic drinks, and animals, among other things.

“J. Doe is a US citizen who has not traveled out of the country, is not engaged in any international commerce, has no business concerns outside the United States, and primarily uses their Reddit account to engage in political speech relevant to their local community,” said the filing by the Civil Liberties Defense Center (CLDC), which represents the Reddit user. “Yet the government claims the right to obtain Doe’s name, telephone number, home address, banking and credit card information, IP addresses, telephone model number(s), and the names of any other accounts associated with their Reddit account. The information sought by the government in no way pertains to customs or importing or exporting merchandise, and is clearly intended to chill free speech.” “We should be very, very, very concerned that they’ve now taken one of these to a grand jury,” said David Greene, senior counsel for the Electronic Frontier Foundation. “It’s something to be taken very seriously.”

A Reddit spokesperson told Ars today that “we seek to inform users of any legal process compelling disclosure of their data, as we did in this case, because users should have the agency to protect their own information and are often better positioned to challenge requests that impact them.”

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“We do not voluntarily share information with any government, especially not on users exercising their rights to criticize the government or plan a protest. We review every inquiry for legal sufficiency and routinely object to requests that are overbroad or threaten civil rights. When legally compelled to disclose data, we provide only the minimum required and notify the user whenever possible so they can defend their interests.”

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How to watch NASA’s Artemis II splash back down to Earth

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NASA’s Artemis II crew of four astronauts from the United States and Canada are set to return to Earth on Friday after their historic trip to the far side of the moon.

Reid Wiseman, Victor Glover, Christina Koch, and Jeremy Hansen have spent 10 days aboard the Orion spacecraft. They are expected to begin re-entry at 7:33 p.m. ET with a splashdown of 8:07 p.m.

NASA has a live feed for when the crew lands in the Pacific Ocean later today. The Orion spacecraft is expected to splash down off the coast of San Diego, California.

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The Artemis II mission marks the first time humans have ventured to the moon’s orbit in more than 50 years. The crew traveled farther from Earth than any humans have before, reaching an estimated 252,760 miles from our planet. That’s the same distance as traveling between New York City and Los Angeles around 100 times, only the astronauts are inside a capsule with 330 cubic feet of habitable space, which is about the size of two minivans.

The objective of the Artemis II mission is to collect data and insights that will help NASA prepare for future lunar missions and landings — the astronauts put the Orion spacecraft through planned tests to evaluate how it performs with a crew in deep space. This involves testing communication systems with colleagues on Earth, making trajectory adjustments, and making a safe re-entry and splashdown.

The splashdown could be one of the most dangerous moments of the whole mission. On the Artemis I mission in 2022, which did not have a crew, Orion’s protective heat shield was unexpectedly damaged upon its return to Earth. The heat shield is made of AVCOAT — a material designed to slowly dissipate and protect the crew from temperatures approaching 5,000 degrees as it penetrates Earth’s atmosphere — but the shield was charred and cracking in places, which was not supposed to happen.

If humans had been aboard Artemis I, they would’ve still returned safely, NASA said. The agency has also conducted extensive research on how the heat shield was damaged in the first place. Still, the heat shield remains top of mind as people around the world hope to see these four astronauts return safely.

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The crew left Earth on April 1, and the astronauts quickly encountered some mundane mishaps, including issues with Microsoft Office and their toilet. But these early moments were easily overshadowed by the wonder of the images and information that the crew sent back from the moon. You can already see new photos from the lunar flyby on the dark side of the moon.

The astronauts also named new craters, including one that was named after mission commander Wiseman’s late wife Carroll, who died of cancer in 2020 at age 46.

The crew was also able to witness a total solar eclipse from just a few thousand miles away from the moon, a unique vantage point that no astronaut had experienced before.

“It wasn’t just an eclipse with the Sun hidden behind the Moon,” Koch, the crew’s mission specialist, explained. “We could also see earthshine, the Sun’s light reflecting off Earth, wrapping the Moon in a soft, borrowed glow.”

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The rest of the live broadcast is streaming here.

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To Fill Air Traffic Controller Shortage, FAA Turns To Gamers

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An anonymous reader quotes a report from the New York Times: As the Trump administration seeks to fill a national shortage of air traffic controllers, officials are targeting a new talent pool: gamers. The Federal Aviation Administration on Friday is making a recruiting push aimed at avid players of video games, as the agency strives to fill thousands of vacancies that lawmakers have said leave the traveling public less safe. In a new YouTube ad, the agency is using flashy graphics and the promise of six-figure salaries to convince video game enthusiasts to apply their trigger fingers in service of air safety.

In recent years, video gamers have emerged as a target demographic for recruiters at a number of federal agencies, including the military and the Department of Homeland Security. They are welcomed for their hand-eye coordination, quick decision-making in complex environments and ability to remain focused on screens for hours on end. “To reach the next generation of air traffic controllers, we need to adapt,” Transportation Secretary Sean Duffy said in a statement. Focusing recruiting efforts on gamers, he added, “taps into a growing demographic of young adults who have many of the hard skills it takes to be a successful controller.”

[…] The F.A.A. plans to begin prioritizing recruiting gamers over more traditional avenues like college fairs, officials said, pointing out that only 25 percent of controllers have a traditional college degree, while the vast majority appear to have logged hours gaming. During the presidential transition in 2024, incoming Trump administration officials polled about 250 new air traffic academy graduates over six weeks. Only two of those interviewed were not gamers, according to F.A.A. officials […]. Students who failed out of the training academy were not similarly queried, officials said, though they have plans to conduct more comprehensive exit interviews in the future. Still, the overwhelming presence of gaming habits among graduates tracked with what they were hearing anecdotally from controllers already certified to work in towers and other air traffic facilities, the officials said, many of whom liked to play video games during breaks in their shifts.

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Amazon Luna ends support for third-party subscriptions and game purchases

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Amazon is ending support for third-party integrations on its Luna cloud gaming service. The most immediate changes mean that it’s no longer possible to buy Ubisoft+ and Jackbox Games subscriptions or standalone games through Luna.

Amazon will automatically any cancel active subscriptions bought through Luna at the end of customers’ next billing cycle. If you have a Ubisoft+ subscription that you bought directly from Ubisoft instead, you’ll still be able to access games on that service through Luna until June 10.

The Bring Your Own Library option — which allows users to play games they own on the likes of EA, GOG and Ubisoft on Luna — is going away too. You won’t be able to access games from on those storefronts via Amazon’s streaming service after June 3.

If you bought any games outright on Luna, you’ll still be able to play them there until June 10. Unlike Google did when it shut down Stadia, Amazon isn’t offering refunds for those purchases. However, you’ll still have access to them through the respective third-party platform that’s linked to your account, be it the EA App, GOG Galaxy or Ubisoft Connect.

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That doesn’t exactly help folks who don’t have powerful-enough systems to play more demanding games and were relying on Luna. As such, some people might need to turn to the likes of GeForce Now in order to keep playing games they bought through Luna (and they’ll need to hope GFN actually supports their specific games).

Amazon has been reshaping Luna over the last several months. It rolled out a revamped version of the service back in October, with more of a focus on GameNight party games that you can play with a smartphone.

Prime subscribers will still be able to claim PC games and stream games on the Luna Standard tier at no extra cost. The Luna Premium subscription, which includes a wider range of third-party games, is still available too.

“We’re doubling down on a broad range of gaming experiences, including strong third-party titles, delivered in ways that make great games more accessible, as well as new and unique gaming experiences like GameNight,” Amazon wrote in an email to Luna users. The company also said it will offer some folks a free Luna Premium subscription.

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Anthropic reportedly mulls designing own chips amid shortage

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Claude creator Anthropic is considering designing its own chips as advanced AI systems cause a shortage, sources told Reuters.

Anthropic continues to grab the headlines this week, as it fights the US administration in the courts and the power of its unreleased Claude Mythos model strikes fear into the hearts of much of the industry, given its ability to exploit security vulnerabilities.

Now Reuters is citing sources that say Anthropic is looking closely at the possibility of building its own chips, amid industry concerns that the supply of sophisticated chips required for new AI systems from itself and its competitors may not keep pace. Rivals Meta and OpenAI already have such projects underway.

Earlier this week, Anthropic announced a new expanded agreement that will allow it to tap 3.5GW of Google’s tensor processing unit (TPU) capacity from Broadcom.

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In a regulatory filing on 6 April, Broadcom said that Anthropic’s consumption of TPU capacity is dependent on its continued commercial success. The multi-gigawatt capacity is expected to come online in 2027.

Last October, Anthropic and Google announced a deal worth “tens of billions of dollars” for 1m of Google’s TPUs. The deal is expected to bring more than 1GW of AI compute capacity online for Anthropic this year. The new agreement deepens that relationship, Anthropic said. Broadcom said that it is in a long-term agreement with Google to develop and supply custom TPUs.

Anthropic already has multibillion-dollar deals for compute capacity with companies such as Nvidia and Microsoft. It runs Claude on a range of AI hardware, including Amazon Web Sevices’ Trainium, Google TPUs and Nvidia GPUs. Amazon is Anthropic’s primary cloud provider and training partner.

Anthropic said that a vast majority of the new compute will be situated in the US, expanding on its $50bn commitment to strengthening the country’s computing infrastructure.

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Demand for Anthropic’s AI tools has accelerated in 2026. Recent data shows that Anthropic is now capturing more than 73pc of all spending among companies buying AI tools for the first time, while its rival OpenAI is down to around 27pc.

According to the company, revenue run rate has already surpassed $30bn, up from around $9bn at the end of 2025. More than 1,000 of Anthropic’s business customers spend more than $1m on an annualised basis, doubling in less than two months, it added.

Given the growing fight for compute power, and the well-reported chips shortage, it would not be a surprise for Anthropic to look into the albeit extremely costly business of designing its own chips, but the sources admitted that no project team has yet been set up, and plans have not yet been set in place.

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