Deadly bacteria found in major US city’s wastewater system tied to Mark Zuckerberg’s $800m data center

Meta‘s massive AI data center in Wyoming is facing scrutiny after an unexpected contamination incident emerged during construction.

The Mark Zuckerberg-owned company is developing a 715,000sq ft campus in Cheyenne that is set to go online next year, but its contractor has come under fire after city officials traced wastewater containing a rare bacterium to the project.

Known as Cupriavidus gilardii, the naturally occurring bacterium is typically found in soil and water. While harmless to most healthy people, it can cause severe pneumonia, bloodstream and lung infections, and, in rare cases, death among people with weakened immune systems. 

Cheyenne’s Board of Public Utilities (BOPU) said the bacterium was found in wastewater discharged by Goat Systems, a contractor working on Meta’s $800 million data center

According to the BOPU, the bacterium was first detected during routine wastewater sampling in late February, but was only announced last Thursday.

Meta said its general contractor, Fortis, began hauling industrial wastewater offsite and that independent testing found no trace of the substance to date.

Officials stressed that it did not contaminate the city’s drinking water, but said it disrupted the municipal reclaimed water system and required months of cleanup. 

However, the city permanently revoked Meta’s authorization to discharge wastewater from its fill-and-flush operations into Cheyenne’s treatment system, where the water is recycled and later used to irrigate parks and other public spaces. 

A Meta spokesman told the Daily Mail: ‘When the board shared that it found a substance in the city’s wastewater – not public drinking water – Fortis immediately stopped discharging industrial wastewater and began hauling it offsite.

‘Fortis also began its own water testing with an independent environmental specialist, which has found no trace of the substance. 

‘Meta is committed to being a good neighbor in Cheyenne, including through the protection of local water resources, and will continue encouraging collaboration between Fortis and the board until this situation is resolved.’

It comes as AI data centers face mounting scrutiny across the US for their enormous demands on local water and power supplies. 

According to Data Center Map, there are nearly 4,500 data centers nationwide, with some facilities consuming as much as 300,000 gallons of water a day, roughly the same amount used by 1,000 households.

Goat Systems LLC is the corporate entity Meta uses for the construction of the center, dubbed Project Cosmo.

Officials said the contaminated wastewater was discharged during a fill-and-flush process used to prepare the data center’s cooling system before it goes online. 

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Current State Of Physical AI: Everything You Need To Know

Citi’s Robotics & Physical AI Leadership Conference wrapped up on Tuesday. The annual Citi Research event brings together robotics founders, investors, operators, and industry executives to assess the state of “physical AI.”

Analyst Heath Terry summarized the key takeaways Wednesday morning, painting a picture of the robotics industry moving from proof of concept to commercial deployment, while warning that scaling robots remains challenging.

Labor shortages, reshoring, and favorable regulatory tailwinds are accelerating enterprise demand, while data scarcity, talent constraints, battery limitations, and high deployment costs remain key friction points,” Terry explained to clients. 

Citi said the winners in physical AI will likely be firms that own proprietary real-world data, solve specific labor bottlenecks and use Robotics-as-a-Service models to reduce upfront costs for customers.

Terry highlighted automation-exposed industrial names including Rockwell Automation, Emerson Electric, Honeywell, Symbotic, Ralliant and Belden as potential beneficiaries.

Humanoids are attracting significant investor interest. Last month, we detailed how readers can invest ahead of a major ramp in humanoid production expected in the coming quarters. Read the report

Over the last two years, about $20 billion has been invested in physical AI, with applications spanning warehouses, logistics, trucking, construction, aviation, and defense.

Last week, carmaker BMW revealed that a new upgraded humanoid is walking its factory floors at the Spartanburg plant in South Carolina. 

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YouTube defends video that falsely claims Sydney massacre survivor is ‘crisis actor’

A Google executive told an inquiry on Tuesday that a YouTube video that falsely claimed a wounded survivor of an antisemitic massacre in Sydney was a crisis actor blooded with makeup had met the platform’s standards and would remain online.

Google Australia manager Rachel Lord was testifying at a government inquiry into the spread of antisemitism in Australia including an attack by two gunmen on a Sydney Hanukkah celebration in December that left 15 dead.

Lord was questioned about a complaint made by survivor Arsen Ostrovsky about a video posted on YouTube. Ostrovsky was attacked online after an image showing blood streaming from a wound in his head was posted on X two hours after he was shot.

Lord said the decision to allow the video to remain on YouTube had been reviewed at “quite senior levels.”

“We have spent a lot of time thinking about where we draw the line and we continue to re-evaluate where we are doing that,” Lord said.

Richard Lancaster, the lawyer leading the inquiry’s evidence, referred to a transcript of the video to avoid showing the images in public.

Four men appear on split screen saying Ostrovsky’s bleeding head appeared “very crisis actor-ish” and mentioned “makeup.” They also describe him as an “intelligence asset” who had a “degree in theater.”

The video also describes Ostrovsky as a Zionist and claims the massacre was a “false flag operation.” Police allege father and son shooters Sajid and Naveed Akram were inspired by the Islamic State group.

Lancaster told Lord the video remaining online demonstrated a “really serious deficiency” in YouTube’s hate speech guidelines.

Lord replied that she appreciated Lancaster’s “feedback.”

YouTube told Australia’s online safety regulator three days after the massacre that the platform was “focused on ensuring Australians and all users around the world have access to high quality information about the tragic events,” Lord said.

Ostrovsky told the inquiry last month that he had been targeted by online hate, abuse, vilification and AI manipulation since he suffered the minor head wound on Dec. 14.

The inquiry was then shown an AI-generated image of Ostrovsky apparently laughing as someone applied fake blood to his head.

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Waymo Robotaxi “Snitches” On Two 15-Year-Olds Drinking & Shooting Orbeez Guns In Bay Area

Two 15-year-old boys were detained in San Mateo Monday afternoon after the Waymo robotaxi they were riding in reported them to police – for drinking alcohol and firing a gel-bead blaster out of the moving car – then pulled itself over so officers could collect them.

Waymo’s remote monitors spotted the behavior on the vehicle’s interior cameras and called the San Mateo Police Department around 2:10 p.m. with the car’s exact location. The company then disabled the vehicle near 20th Avenue and El Camino Real, telling the pair the car was having trouble – a ruse that bought officers time to get into position.

Because the initial report described what looked like a real firearm, police conducted a high-risk stop, approaching with guns drawn and a police dog deployed. No one was hurt. Inside, officers found an Orbeez-style gel blaster – painted over to pass for the real thing – and open alcohol.

The teens cooperated, were detained, and were released to their parents. The case has been forwarded to the San Mateo County District Attorney’s office for review of possible charges, including underage drinking, and police say they plan to pull the Waymo’s interior video.

“Parents do you know where your teens are? @waymo does!” The department wrote on Facebook: “After calling us and stopping the car, we were able to safely remove both subjects and determined they were shooting Orbeez from the car as they sipped on afternoon libations while being chauffeured around town in the driverless vehicle.”

“While there was some ingenuity to this scheme, toy guns, water guns, and BB guns all pose real dangers, especially to an untrained eye… Shooting projectiles at speed can cause real damage. And lest not forget the underage drinking. All bad ideas today for these two. Well, the Waymo might have been the smartest idea yet, because driving impaired would’ve made this so much worse.”

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Risk and AI: It’s Tricky

A funny thing happens on the way to understanding risk: we discover it’s tricky. We think we see all the risks, and think we can mitigate or hedge those risks, but by its very nature, risk evades such simplistic filters and metrics. Risk remains hidden, offscreen, invisible, building up out of sight, awaiting a catalyst that’s equally undetectable until it manifests, and after the fact, we look back and ask, why didn’t we see that coming?

Risk is tricky like that. It can lay dormant for decades and then erupt with little warning.

Risk is tricky in other ways. In our hubris, we see the power and might of our technologies, systems and foresight, and reckon these are so robust they will easily survive any tectonic shift, as we’ve planned for emergencies.

But our faith in the might of our civilization is itself a source of risk because the risk of Model Collapse–the breakdown not of a supply chain or technology but of our entire conceptual construct of how the world works–goes unrecognized because our confidence that our model maps the real world is so high that we are incapable of recognizing its drift into hallucination and civilizational psychosis.

In other words, our confidence that our conceptual mythologies are accurately mapping the real world is itself a source of civilizational risk because this confidence makes it inevitable that we do more of what’s failing, as the alternative–recognizing our conceptual models and mythologies are self-serving rationalizations that substitute artifice for realistic appraisals–is conceptually and emotionally impossible.

Put another way: Emperor Norton’s delusions of power and grandeur were harmless as long as he was recognized as delusional. But should Emperor Norton actually be given the power he believed was his to wield, then risk rises accordingly.

Consider the bet being made globally that the current iteration of AI will be 1) immensely profitable (the most important thing in the Universe) and 2) immensely productive (secondary to immensely profitable but necessary as a motivation for everyone to throw trillions of dollars at purveyors of AI). The risk that this bet–and the assumptions that make it not only rational but pressing–is the equivalent of handing Emperor Norton the keys to the kingdom with little evidence he will be a wise leader, is unimaginable in the current model / mythology, and so therefore it doesn’t exist.

The worst that could possibly happen in the current model / mythology is a brief spot of bother in the stock market as euphoric overvaluations come down to Earth, and then the immense profits start flowing and markets rocket higher in a multi-decade Bull Market of AI Productivity.

The possibility that the current iteration of AI is innately incapable of metaphorically boiling away the seas is not on the screen, any more than a stock market crash or social upheaval is on the screen. Yet if the fantasy of vast, unstoppable floods of profits driven by vast increases in productivity fail to materialize on a very short timeline, then both a stock market crash and social upheaval move from “impossible” straight through “unlikely” to “happening now,” leaving everyone who thought they understood risk and were properly hedged against unwelcome change in a state of disbelief and wonderment.

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Air Force Engineer Accused Of Cutting Down AI Cameras Becomes Unlikely Hero, Raises Thousands For Legal Defense

A U.S. Air Force engineer charged with allegedly destroying a series of AI-powered license plate surveillance cameras has become an unlikely cause célèbre among privacy advocates, drawing thousands of dollars in donations to help fund his legal defense, according to Yahoo News.

Jeffrey Sovern, a 41-year-old Air Force engineer and mechanic from Virginia, is accused of cutting down multiple Flock Safety license plate reader cameras. He now faces 13 counts of destruction of property, along with six counts each of petit larceny and possession of burglary tools.

The case comes as Flock Safety’s automated license plate reader network continues to spread rapidly across the country. Supporters say the cameras help police solve crimes, while critics argue they create a growing surveillance network that tracks the movements of ordinary Americans and raises serious privacy concerns.

Yahoo News writes that opposition to the systems has intensified in some communities, with vandals reportedly using everything from spray paint and garbage bags to chainsaws to disable or destroy the cameras.

Sovern has made no secret of his views. In a GoFundMe campaign created to cover his legal expenses, he framed the case as a fight over privacy rights.

“My name is Jeff and I appreciate my privacy. I appreciate everyone’s right to privacy, enshrined in the fourth amendment,” Sovern wrote.

He said the criminal case has taken a significant emotional toll on him and those close to him, adding that the encouragement he has received online prompted him to launch the fundraiser.

Originally seeking $8,500, the campaign has gained momentum as news of the case has spread. It has now brought in more than $15,000 from over 400 contributors, far surpassing its initial goal.

In a recent update following a preliminary hearing, Sovern thanked supporters for helping bring attention to the issue.

“Thank you to those that had the time to show support this week!” he wrote. “We have seen a huge uptick in awareness of the system and this case.”

He also urged supporters to continue advocating against what he called an expanding surveillance network, encouraging people to “reach out to the local governments and demand that these systems are taken down.”

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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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The Looming Shadow of the “Useless Class”

Harari’s Warning: A New “Useless Class” Emerges

In influential circles tied to global institutions, a chilling phrase has entered the conversation: the rise of a “useless class.” Historian and World Economic Forum advisor Yuval Noah Harari has repeatedly warned that rapid advances in artificial intelligence and automation will render vast numbers of people economically irrelevant. In his book Homo Deus and various public statements, Harari describes this emerging group not merely as unemployed but as unemployable, stripped of meaningful contributions to the economic and political systems that define modern power.

Superfluous People: What Happens When AI Replaces Humanity

He has pointed out that in the 21st century, the central economic question may become what to do with “superfluous people” once algorithms outperform humans in most tasks. This is not abstract futurism. It reflects observable trends: AI already displaces roles in manufacturing, transportation, customer service, coding, analysis, and creative fields. Entire professions face obsolescence. When millions cannot secure stable employment, societies risk labelling them burdens rather than citizens with inherent worth.

Echoes of “Useless Eaters”: From Nazi Eugenics to Modern Efficiency

This language echoes darker historical precedents. The term “useless eaters” originated in early 20th-century eugenics and Nazi propaganda, where authorities deemed the disabled, elderly, or unproductive as drains on resources unworthy of life. Those regimes justified sterilization, euthanasia, and gruesome experiments on living humans deemed irrelevant, using economic and efficiency as grounds. While today’s discussions avoid explicit calls for elimination, the underlying logic of sorting human value by productivity should alarm anyone who values individual dignity.

Schwab’s Fourth Industrial Revolution: Mass Redundancy Ahead

Harari’s warnings align with broader elite conversations about technological disruption. Klaus Schwab, founder of the World Economic Forum, has addressed the Fourth Industrial Revolution and its potential to create redundancy for many workers. The concern is real: without robust adaptation, large segments of the population could become dependent on state or corporate systems, vulnerable to control.

Georgia Guidestones: The Elite Blueprint for Drastic Population Cuts

This feeds into visions of a restructured world. The Georgia Guidestones, a controversial monument erected in 1980 in Georgia and later destroyed, laid out ten guiding principles for humanity. Its first commandment declared: “Maintain humanity under 500,000,000 in perpetual balance with nature.” That explicit target of drastic population reduction (over 90%) has fueled suspicions about long-term agendas among some influential figures who see overpopulation as a crisis. It underscores a mindset that prioritizes global limits over unfettered human flourishing.

15-Minute Cities and Depopulation: Easier Rule Over Fewer Subjects

Critics argue that depopulation pressures, whether through policy, technology, or subtle incentives, serve a strategic purpose. A smaller global population would make centralized rule far simpler for oligarchs and technocrats. Concepts like 15-minute cities, promoted as sustainable urban planning where residents access work, food, healthcare, and leisure within a short walk or bike ride, illustrate the point. Proponents highlight reduced emissions and convenience. Yet skeptics see them as prototypes for contained zones: easier to monitor, restrict movement within or between, and enforce compliance through digital systems and surveillance. In a depopulated world with AI handling production, the need for expansive human labor and freedom of movement diminishes. Elites could manage compact, dependent populations more effectively, where dissent or excess can be easily isolated.

AI Job Apocalypse: Creating the Perfect Storm of Control

The fusion of AI-driven job loss and these control-oriented frameworks paints a grim picture. Displaced workers, stripped of purpose and economic agency, risk being recast as “useless” burdens in the eyes of systems optimized for efficiency. Harari himself has noted the profound inequality this could create, with a small elite of data owners and tech masters holding unprecedented power over the masses.

Euthanasia Explosion: From Terminally Ill to Depressed, Mentally Ill, and Children

Compounding these concerns is the rapid expansion of euthanasia laws across several nations. What began as a limited option for the terminally ill has broadened dramatically to encompass the depressed, mentally ill, and even children. In Canada, Medical Assistance in Dying (MAiD) has surged since its introduction in 2016. By 2024, there were 16,499 reported MAiD provisions, accounting for over 5 percent of all deaths in the country, with cumulative totals nearing 76,000. Cases increasingly include individuals with non-terminal conditions, disabilities, and vulnerabilities tied to poverty or isolation. In the Netherlands, total euthanasia deaths reached 9,958 in 2024, a 10 percent rise from the prior year. Psychiatric cases alone jumped to 219 from 138 in 2023, with a sharp increase among younger people under 30. Belgium and other jurisdictions show similar patterns of extending to minors. This normalization risks categorizing those with chronic illness, depression, or mental health challenges as burdens on the system. It reinforces the “useless eaters” logic by offering death as a solution to suffering that could instead prompt investment in care, community support, and human dignity. Such policies align conveniently with broader depopulation narratives, reducing pressure on resources while framing elimination as compassion.

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