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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Spain instructs state-backed companies to avoid new Palantir contracts

Spain just told Palantir to pack its bags. Or at least, to stop unpacking new ones.

On July 1, the Spanish government issued a directive through SEPI, the state holding company that oversees the country’s publicly owned enterprises, instructing its portfolio companies to avoid entering new contracts with Palantir Technologies. The reason: concerns over classified national security information and what officials see as risks to national sovereignty.

The directive targets firms operating in defense, communications, and infrastructure. We’re talking about heavyweights like Telefónica, defense contractor Indra, and naval shipbuilder Navantia.

What’s actually happening

Here’s the thing: this isn’t technically a ban. It’s not legislation. It’s not even a formal regulation.

It’s more like a strongly worded internal memo with teeth. SEPI is directing the companies it controls to exercise “vigilance” regarding sensitive data, which in practice means no new Palantir contracts.

That distinction matters. Existing contracts remain intact, at least for now. Palantir’s most notable Spanish deal, a contract worth approximately €16.5 million with CIFAS (the Centro de Inteligencia de las Fuerzas Armadas, Spain’s military intelligence center), runs through November 2026. So the company isn’t getting kicked out mid-project. It’s just not being invited back.

The company, co-founded by Peter Thiel and led by CEO Alex Karp, has long positioned itself as the Western world’s answer to authoritarian surveillance tech.

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Mexican Government Delays Biometric Registration Deadline After Massive Public Resistance

Mexico’s President Claudia Sheinbaum has announced an extension to a controversial deadline that required Mexican citizens and foreign residents to register their phone lines with their identification. The move comes after less than half of the country signed up to register their phone lines.

On Thursday morning, Mexico’s Telecommunications Regulatory Commission (CRT) announced a staggered extension for citizens to register their mobile phone lines with their identification. This controversial requirement has received pushback and resistance from the Mexican population, many of whom question how their data will be stored and used.

According to the announcement, prepaid phone lines that have not yet been linked to an identity will now have until between August and December to complete the process, with the deadline based on the last digit of the phone number. The new policy states that after the deadline expires, telephone companies will suspend service to non-compliant lines within 72 hours.

“For the safety of all, every telephone number must be registered in the name of one person, in order to eliminate the anonymity that has allowed crime such as fraud or extortion,” the press release reads. “With this measure, Mexico will cease to be one of the few countries that allowed the acquisition of a SIM card without identification, and will join the international practice currently in place in 166 countries.”

Calls for a deadline extension have increased in recent weeks, as many critics believe the government did not adequately prepare the public for the change. In late May, Mexican billionaire Carlos Slim called for an extension because the process was “very complicated” and progressing slowly.

With the extension of the deadline, the Mexican government and telecom companies are hoping extra time is all that will be necessary to convince more than 50 million people to comply with the mandate. This may prove more challenging than they anticipated in a country well known for mistrust of official institutions.

The requirement to link a person’s ID with their phone line is a fairly new development in Mexico—one of the few places in the world where individuals could still purchase and use SIM cards in cellphones without registering a name or showing some form of identification. All of that changed in July 2025 when several new laws took effect that compel the population to register for a biometric program required to access many services, including phone and internet access. Phone users were originally instructed to register their phone line with their telecommunications provider before June 30, 2026, or face interruption of service. This would force businesses selling these services to check a customer’s CURP before purchase.

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The Biggest Problem With AI Today

What’s the biggest problem in AI today? Is it cost, with token budgets being blown out of the water by agentic AI? Is it sustainability, with AI consuming electricity and fresh water? Is it ethics, with tech companies cramming AI into everything?

I think it’s deeper than that. Those are all symptoms of a much deeper-rooted problem: nobody’s making decisions.

Or more correctly, we’ve abdicated far too much of our executive function to AI. We’ve surrendered our thinking. 

Let’s dig in.

Part 1: Where This Issue Came From

On Friday afternoon, I was mulling over what I wanted to cover in this week’s issue. It’s a holiday weekend here in the USA, so not as many folks will be reading, and that’s okay. (I appreciate that YOU are) And I’ve covered a ton recently:

So on a whim, I set up a NotebookLM with the last 180 days of conversations from over 40 different subreddits, like r/marketing, r/chatgpt, etc. – everything around marketing, business, and AI. I connected it to Claude Code with the NotebookLM command line tool (the most token—efficient way for Claude to talk to NotebookLM), and then put all of my 2026 newsletters year to date into an input folder.

I asked Claude to compare what I’ve written about thus far this year with what folks are finding their hardest problems are with AI. Claude spit out a list of 10 major things derived from over 800,000 words of foaming at the mouth on Reddit that it thought might be good newsletter topics:

  • AI Visibility challenges
  • Agentic oversight is degrading
  • AI deployment is broken
  • 40-60% of company budget is wasted on the wrong models
  • AI is a rental
  • AI sycophancy is screwing up synthetic focus groups
  • AI detectors don’t work
  • AI is hollowing out corporations and no one’s hiring junior staff
  • People measure AI by tokenmaxxing
  • Marketers are basically unpaid labor for AI companies training data

Claude was REALLY pushing for me to write about how measurement is broken in marketing and AI today, and I might do that at some point, but that’s not what I see when I look at this laundry list. Yes, there are measurement issues in many of them, data issues in many of them, but… measurement being broken is the symptom of what I said earlier – we’ve abdicated executive function.

For those who aren’t analytics nerds, you know that measurement is a trailing indicator. It’s not a leading indicator.

Part 2: Executive Function Recap

As a reminder, I bucket executive function into four categories that I call PODS:

  • Plan: you think about achieving something in the future and make a plan to get there from here
  • Organize: you take what you have and try to make sense of it
  • Decide: you take what you have and make decisions about it
  • Solve: you solve the problems you have

Yes, there is more nuance to executive function than this, but this handy, short list is an easy way to see what our brains are doing. That’s critical thinking, one of the worst-named practices we have.

Why? Because critical thinking isn’t about being critical, per se. It’s about metacognition – the definition of which is thinking about thinking. When you’re thinking about how you think, you open the door to improvements, to growth.

Thinking about thinking means asking questions and reflecting – is this the best way to do something? How could I do this better? How could I derive more enjoyment from this thing I’m doing? It’s not criticizing yourself as much as it is recognizing what you’re doing and whether it’s working or not.

When you’re planning, organizing, deciding, and solving, you’re inherently thinking about thinking. Every time you plan, every time you bring order to chaos, you have to check in with your own brain to see if what you’re doing is moving you closer to the goal posts.

Executive function is one of the things that defines our sentience as living creatures. Every sentient creature from a mouse to us does these tasks. You’ve read or heard stories about crows fashioning tools from wire to solve problems, you’ve watched dogs and cats make decisions and plan. I’ve watched my own cat measure optically whether or not she can make a particular jump.

Properly prompted, today’s AI tools are superb at executive functions as well. Given the right frameworks, harnesses, and data, they can plan, organize, decide, and solve better than we can at most language-based tasks.

And therein lies the actual problem.

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