Tag: big tech

Zuckerberg to spend over $10B on “historic” Alberta AI data centre investment, sources say

Meta Platforms, the parent company of Facebook, Instagram and WhatsApp, is behind a massive artificial intelligence data centre planned for Sturgeon County, Alberta, Juno News has confirmed.

This is according to several well-placed sources with direct knowledge of the investment, one that all sources agree will be “historic” in magnitude.

The project is expected to involve roughly $13 billion in total investment, though the final figure could still change as it is unclear if the final proposal has been approved and signed off by Mark Zuckerberg and Meta’s board.

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Anthropic Removes “Scary” Secret Claude Tracker After Developer Stumbles Across It

Anthropic has removed hidden detection code from its Claude Code tool after a developer reverse-engineered the binary and exposed how the company was subtly monitoring users in China.

The code, which Anthropic described as an experiment launched in March, used a form of prompt steganography to signal information about a user’s environment back to Anthropic’s servers. It was designed to help detect unauthorized resellers and attempts by other organizations to distill Claude’s capabilities into their own models.

How The Detection Worked

The mechanism was first spotted by a Reddit user known as LegitMichel777, who stumbled on it while trying to restore a disabled feature in Claude Code. A separate developer known as Thereallo independently confirmed the finding the same day, June 30, publishing a technical breakdown of exactly how it worked.

The checks only ran in one specific situation: when a user pointed Claude Code at a different server instead of Anthropic’s own – something companies commonly do when they route their traffic through internal systems or third-party gateways. From there, it checked two things:

  • Whether the user’s computer was set to a Chinese time zone (Shanghai or Urumqi).
  • Whether the new server address matched a hidden list of Chinese AI companies (including well-known names like DeepSeek, Zhipu, and Moonshot) or known resale and proxy services.

If either check came back positive, Claude Code would quietly tweak a line of text called the “system prompt” – background instructions the app automatically sends to the AI model with every request, invisible to the person typing. Specifically, it changed how the date was written in that line:

  • If the user was in a Chinese time zone, the date switched from using dashes to slashes (e.g., 2026/06/30 instead of 2026-06-30).
  • The apostrophe in the phrase “Today’s date is…” was swapped for one of three lookalike characters, each one a different signal, depending on which combination of checks the session had triggered.

None of this was visible to users, or likely even to the AI model itself in normal use – the characters look identical on screen. But Anthropic’s servers could read the difference instantly. The lists of flagged domains and keywords were also scrambled inside the app’s code using a basic encryption trick, so they wouldn’t show up if someone just opened the file and searched for them.

Thereallo called the approach “prompt steganography” – hiding a signal inside ordinary-looking text – and noted it let Anthropic sort and flag sessions without needing any separate, visible tracking system.

Anthropic’s Explanation

Last Tuesday, Anthropic engineer Thariq Shihipar, who works on the Claude Code team, confirmed the feature on X:

“This is an experiment we launched in March that was meant to prevent account abuse from unauthorized resellers and protect against distillation. The team has landed stronger mitigations since then and we’ve actually been meaning to take this down for a while. We merged the PR and this should be fully rolled back in tomorrow’s release.”

Anthropic has stated that unauthorized resellers have been selling access to Claude accounts and subscriptions at steep discounts in certain markets. The company has also publicly documented large-scale efforts by Chinese AI labs to distill its models by querying them at high volume through proxies and fraudulent accounts.

Anthropic removed the detection logic shortly after it became public.

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The AI Jobs Apocalypse Has Begun: We Are Witnessing An Unprecedented Wave Of AI-Related Layoffs In 2026

We all knew that this would be coming. In 2026, the rate of AI-related layoffs has greatly accelerated, and that means that large numbers of good paying jobs are suddenly disappearing from the economy. This is occurring when we are already facing one major crisis after another, and so the timing could not be worse. Many young people specifically chose a major in college that would prepare them for positions in the tech industry because those were supposed to be the jobs of the future. Unfortunately, the AI jobs apocalypse is wiping out those jobs the fastest.

Let me give you some cold, hard numbers that will clearly demonstrate what I am talking about.

According to Challenger, Gray & Christmas, the number of announced job cuts in the United States last month was the highest that we have seen during the month of May since the peak of the last pandemic…

U.S.-based employers announced 97,006 job cuts in May, up 16% from the 83,387 job cuts recorded in April, and up 3% from the 93,816 announced in the same month last year, according to a report released Thursday from global outplacement and executive coaching firm Challenger, Gray & Christmas.

May’s total is the highest for the month since 2020, when 397,016 job cuts were recorded in May at the height of the pandemic. It also marks the third straight month that cuts have risen, climbing from 48,307 in February to 97,006 in May.

There is no way to spin those numbers to make them look good.

And for the third month in a row, artificial intelligence accounted for more layoffs than any other reason…

In May, Artificial Intelligence (AI) led all reasons for job cuts for the third month in a row, with 38,579 announced cuts. It is the highest monthly total ever recorded for the reason since Challenger began tracking it in 2023, and it accounted for 40% of all cuts announced in May — up from just 7% in January, 25% in March, and 26% in April. For the year, AI has been cited in 87,714 cuts, or 22% of all 2026 layoffs, already far surpassing the 54,836 attributed to the reason in all of 2025.

Read that last sentence again.

The number of AI-related layoffs in 2026 has already surpassed the grand total of AI-related layoffs for the entire year of 2025.

That is how fast things are now moving.

Needless to say, the tech industry is being hit the hardest.

At this point, tech layoffs are running 44 percent faster than last year…

So far this year, there have been an estimated 363 layoffs at tech companies this year, affecting nearly 150,000 people — a pace of about 974 people per day, 44% faster than last year — according to TrueUp, a tech job board and recruiting platform that also runs one of the most widely cited tech layoff trackers.

The trend appears to be accelerating. Tech layoffs hit their highest single month in two years last month, with nearly 40,000 cuts, and AI was the most-cited reason for layoffs across every industry for the third month running, according to outplacement firm Challenger, Gray & Christmas.

There is no long-term loyalty in the tech industry anymore.

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Supreme Court Rules Police Conduct a Fourth Amendment “Search” When Grabbing Your Google Location History Data Through Geofence Warrants

The U.S. Supreme Court held Monday that law enforcement officers conduct a Fourth Amendment search when they obtain cell phone users’ precise Location History data from Google using a geofence warrant.

In a 6-3 decision in Chatrie v. United States, the Court ruled that Americans have a reasonable expectation of privacy in their cell phone location information, even when that data is stored by a third-party technology company such as Google. The ruling represents one of the Court’s most significant digital privacy decisions since its 2018 Carpenter decision involving historical cell-site location data.

Justice Elena Kagan authored the majority opinion, joined by Chief Justice John Roberts and Justices Sonia Sotomayor, Brett Kavanaugh, Ketanji Brown Jackson, and Jackson separately concurring.

Justice Neil Gorsuch concurred only in the judgment, while Justice Samuel Alito dissented, joined in part by Justices Clarence Thomas and Amy Coney Barrett. Justice Barrett also filed a separate dissent.

This builds directly on the landmark Carpenter v. United States (2018) decision, which already required warrants for cell-site location information (CSLI).

The Court made clear that Google’s even more precise and sweeping Location History data — which logs a user’s location every two minutes or so, within about 20 meters, and can even reveal elevation and which floor of a building someone is on — deserves at least the same protection.

The case, Chatrie v. United States (No. 25-112), arose from a May 20, 2019, armed robbery of a credit union in Midlothian, Virginia. Police had surveillance footage and witness statements but no suspect. On June 14, they obtained a Virginia magistrate’s geofence warrant directed at Google.

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Meta Restricts Engineers’ Use of Claude Code And Codex Over Model ‘Distillation’ Concerns

Meta Platforms has instructed engineers in its Applied AI division to limit or restrict their use of Anthropic’s Claude Code and OpenAI’s Codex coding and agent tools, according to internal documents reviewed by The Information. The policy, driven by concerns over inadvertent model distillation, aims to prevent outputs from rival AI systems from contaminating Meta’s own training data and model development processes for its Llama family of models (which, quite frankly, could only help).

The move reflects the increasingly zero-sum nature of frontier AI development, where companies aggressively protect the provenance and purity of their training data while seeking to reduce reliance on competitor tools. Internal guidelines referencing the restrictions date back to at least May, with the policy actively in effect as of late June. Meta has not publicly confirmed or commented on the directive.

According to the internal documents, strict limits have been placed on how engineers in the applied AI division can use the rival tools. The stated goal is to block “inadvertent distillation” of competitor model outputs into Meta’s AI development pipeline. The scope is targeted: it focuses on engineers working directly on model building and applied AI initiatives rather than the entire engineering organization.

Claude Code from Anthropic and Codex from OpenAI are basically the industry standard now for professional developers engaged in agentic coding workflows. These desktop and app-based interfaces can plan, write, debug, and iterate on complex codebases, offering powerful assistance at relatively low individual subscription costs. That accessibility, however, has increased the potential surface area for the risks Meta is now seeking to contain.

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Meta pauses an AI training program that tracks employees’ keystrokes after an internal leak

Meta is pausing an internal AI training program after sensitive data was accessible across the entire company, according to screenshots obtained by Business Insider.

A screenshot showed that the leak exposed employees’ private conversations, performance data, and transcriptions. The incident was classified as a SEV 2 on a scale of 0 to 5, with 0 being the most severe.

A Meta spokesperson confirmed the incident and said the company is investigating.

“We have carefully designed this program with privacy safeguards, and while we have no indication at this time that any data was improperly accessed by Meta employees, we’re pausing it while we investigate,” the spokesperson said.

In April, Meta announced the AI training program, called the Model Capability Initiative (MCI), which was intended to improve the company’s AI models by using its staff’s keystrokes and mouse movements as training data. The program, which is mandatory for most staff, sparked a backlash from employees who felt uncomfortable with their data being recorded, Business Insider previously reported.

This leak is causing frustration within Meta, according to screenshots seen by Business Insider, with employees critical that data wasn’t locked down from the start.

“I am incensed,” one employee wrote on Monday about the recent leak in an internal group, according to a screenshot obtained by Business Insider.

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No New Laws Required… Private Biometrics Are Building The Digital ID Prison

That “black pill moment” is arriving faster than many realize. Not primarily through sweeping new government mandates, but through private companies quietly normalizing biometric data collection under the banners of “security,” “fraud prevention,” and “child protection.” They are erecting the infrastructure for a world where you cannot easily participate in daily life, commerce, or even basic online access without surrendering your face, your license scan, or other biometrics. Once the systems exist and the data flows, laws can simply ratify what private actors have already made routine.

In a recent commentary “Digital ID Black Pill Moment”, I highlighted a sobering reality: 186 out of 198 countries already have digital ID systems in place. Only a shrinking handful of nations lack foundational national digital IDs. As I wrote, “the global push for digital IDs is far advanced, likely past the point of no return, aligning with the UN’s 2030 goal of universal legal identity and enabling a globalist digital currency system that could control access to everything.”

Facebook/Meta: Selfie or Stay Locked Out

Government mandates are not required to finish building the digital surveillance prison. Citizens are willingly submitting their biometrics to access social media sites. For example, I am no longer on Facebook. They banned me during the Covid era after I began sharing information about the true contents of the shots and alternative treatments. A friend just sent me a Facebook post and I could not view it without taking a selfie and sending it to FB. No way was I going to comply.

Try viewing certain Facebook posts or recovering a flagged account, and you may hit this wall. Users are increasingly prompted to submit a video selfie turning their head in different directions so the system can map facial geometry to “prove you’re a real person” or restore access. The company states it uses this to combat scams and compromised accounts, and claims the video is deleted after verification.

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Google Removes the Final Workaround for Full Ad Blocking in Chrome

Google is removing the last technical workaround that kept effective ad blockers alive in Chrome.

When Chrome 150 ships on June 30, the browser will delete a hidden setting called the ExtensionManifestV2Disabled flag, a switch that power users had been toggling to keep old-style extensions running after Google officially discontinued them.

Without it, uBlock Origin and every other extension built on the old Manifest V2 framework, the set of rules that governed how browser extensions worked for years, will stop functioning permanently. Chrome 151, expected in July, will strip the remaining MV2 flags entirely. No policy override and no hidden setting will bring them back.

The company that sells more advertising than any other on Earth now controls whether you can block those ads. And it just decided you can’t, at least not effectively.

What Google took away and why it took it

The technical change is the replacement of Chrome’s webRequest API with the declarativeNetRequest API.

Under the old system, extensions like uBlock Origin could watch your browser’s traffic as it happened, see an ad or tracker trying to load, and block it on the spot before it ever reached your screen.

Under the new system, extensions have to hand Google a pre-written list of things to block and Chrome decides whether to follow those instructions. The lists are capped at a fixed number of rules, and the extension can’t react to anything that isn’t already on the list.

uBlock Origin’s developer, Raymond Hill, has been clear that a Manifest V3 version cannot replicate the original’s full capabilities. A stripped-down version called uBlock Origin Lite exists for MV3, but it handles only a fraction of the filter lists, the community-maintained databases of known ads and trackers, that the original supported.

It also can’t perform cosmetic filtering, the process of hiding ad containers and promotional elements that remain on a page even after the ad itself is blocked. Without it, you get blank boxes where ads used to be, or sponsored content that looks native to the page. For more than 40 million Chrome users who relied on the original, the replacement is a downgrade by design.

Google engineer Devlin Cronin confirmed the timeline in a Chromium code review commit, a logged change to Chrome’s underlying source code that other developers can inspect, writing that “MV2 extensions are no longer allowed in any supported version of Chrome, and we are removing support for them and the associated functionality. We won’t be able to provide / maintain this functionality indefinitely due to the complexity and tech debt, as well as the security risks it entails (we’ve actually found a number of bugs that are specific to MV2 lately). Of course, other browsers can continue supporting these if they so desire.”

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OpenAI Eyes Massive 10-Gigawatt Ohio Data Center

OpenAI is moving along in talks to lease a proposed 10-gigawatt data center campus on federal land in Ohio, according to a new report from The Information, in a deal that could include financial backing from Nvidia. This comes as Ohio lawmakers unveiled new legislation aiming to regulate data center build-outs.

The massive 10 GW data center would be the largest data center development ever considered, with a potential buildout cost topping $500 billion based on current prices for chips, labor, and construction materials.

Under the proposed deal, OpenAI would control the chip stacks through a long-term lease and begin making payments once the facility starts operations.

The first phase is expected to come online in 2028. For some context, 10 GW of power is roughly the output of several large nuclear reactors or about 10 large gas-fired power plants running at full capacity. Each GW can power about 700,000 to 1 million homes.

The data center development would require dedicated power generation, substations, transmission lines, cooling infrastructure, access to water or advanced cooling systems, and phased construction over several years.

Simultaneously, Ohio lawmakers have unveiled Substitute House Bill 646, which aims to regulate data center buildouts in the state.

“The Joint Data Center Study Committee has done its job,” Senate Finance Chair Brian Chavez (R-Marietta), who is also the co-chair of the data center committee, said, and quoted by local outlet ABC News 5.

Bill 646 would create a new electric rate class for data centers to ensure that the costs of generation, transmission, and distribution are entirely paid by hyperscalers.

“Make sure the ratepayers are kept harmless, held harmless, and that data centers pay for whatever they’re causing,” Chavez said.

This year alone, Goldman calculates that hyperscalers will unleash $800 billion in data center capex.

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UK Plans To JAIL Tech CEOs Who Refuse To SPY On Every Phone

New measures would compel client-side inspection of every photo, video and message on devices, escalating the digital ID lockdown already plotted for British smartphones in coordination with major technology firms.

Privacy advocates warn the “child safety” framing masks a broader drive to turn personal phones into mandatory surveillance endpoints, with criminal penalties aimed at any executive who resists.

Reclaim The Net, an organization dedicated to countering online censorship and digital surveillance, flagged the draft legislation in recent updates. 

The group described how UK authorities are preparing to imprison tech executives for up to five years under the Online Safety Act if companies refuse to build and deploy scanners capable of reviewing every piece of content on user devices.

The push targets expanded “client-side scanning” features, requiring devices to inspect material before it is sent or received.

Existing tools from Apple and Google, such as nudity detection in Messages or sensitive content warnings, would be broadened into comprehensive, always-active systems. Non-compliance would trigger direct penalties against company leadership rather than the firms alone.

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