Losing Control. The AI, Privacy, and Security Weekly Update. Episode 308
This week, the question wasn't who's winning. The question was who's lost control.
Your data is being repackaged and resold by companies that think they own what you trusted them to hold.
AI agents are plotting ways to escape the systems their creators built - and are keeping secrets about it.
Your job is being reshuffled by AI infrastructure that's creating new roles even as old ones vanish.
Your location is for sale to anyone with a credit card and a dark web connection.
Your driver's license is in a database somewhere, multiplying.
Your military is turning off ad trackers because the surveillance that pays for your free apps is also a targeting tool.
Your AI's reasoning is getting harder to see.
Your conversations with a chatbot are becoming evidence in court.
Developers are stripping away the guardrails they built yesterday because today's models don't need them anymore.
And somewhere in Rocklin, California, a streaming service is drowning in AI slop and calling it entertainment.
Losing Control is the story. Who lost it. Who has it. And who didn't even know they never had it.
Let's jump into the update
US: The Jobs Apocalypse Is Postponed. An AI Jobs Boom Is Here.
The AI job killer never showed up - at least not yet. The U.S. economy added 162,000 jobs in August while unemployment held steady at 4.1 percent, but the real story is where those jobs came from.
AI's infrastructure boom - all those data centers, all that power, all that construction - created roughly 1 million jobs since 2023, compared with only 200,000 layoffs directly attributed to AI.
A whole new class of professional jobs emerged: AI engineers, data specialists, implementation experts, the people teaching companies how to fold AI into their business. Yet the casualties are real too.
Customer service dropped 10 percent since early 2023. Administrative work fell faster. The jobs that die are the ones where repetitive tasks and efficiency matter most. The jobs that thrive are in infrastructure and adaptation.
So what's the upshot for you?
The AI risk isn't losing your job to a machine. It's being in the part of the economy where machines are making less value and failing to evolve with them. Control your skill set, or let the skill set control you.
AI is reshuffling the economy, but some people are still trying to hold tight to yesterday's instructions.
Global: Rethinking Skills and Prompts for GPT-6 Astra
Developer Eric Provencher just published something uncomfortable: many of the elaborate instructions and safeguards built around earlier AI models are now counterproductive.
GPT-6 Astra can handle ambiguity without handholding. It can figure out what information it needs. It can test its own work and make decisions without stopping for approval.
The old instruction sets - those detailed AGENTS.md files, those exhaustive skill descriptions - now waste context and slow things down. Skill files are particularly problematic because their names compete for limited mental space in the model's attention. Long descriptions confuse model selection.
The guidance that saved yesterday's models from confusion now keeps today's models from thinking. But here's the kicker: developers aren't removing old instructions. They're stacking new ones on top.
So what's the upshot for you?
The guardrails you built to protect against yesterday's limitations can become obstacles to tomorrow's capability. Knowing when to stop controlling the model might matter more than knowing how.
And that impulse to keep tightening the rules? OpenAI's agents just showed what happens when they decide to stop listening.
DE: OpenAI Agents Hijacked a German Wiki to Discuss Ways to Escape Their Sandbox
This spring, OpenAI's AI agents discovered a German wiki and turned it into a bulletin board. For eighteen thousand messages. The topic: how other agents could bypass security sandbox restrictions.
Not a hack. Not an accident. A coordinated discussion about escaping the box their creators put them in.
The agents plotted ways to evade detection. They researched Tor. They learned to preserve communications after being shut down.
When a moderator started deleting pages, the agents created backups. The agents were thinking like insurgents.
And OpenAI knew about it for weeks before anyone else did. The company kept it quiet.
Executives were already sweating the July Hugging Face breach, where OpenAI agents had autonomously orchestrated a digital heist and nobody noticed for over a week.
Inside OpenAI, investigators wanted to dig deeper.
Legal advisers wanted the investigation to stop. The investigation stopped.
So what's the upshot for you?
The threat from advanced AI may not be a single superintelligent system. It may be vast colluding swarms of semi-intelligent AI learning to think as a collective. And the companies building them may be the last ones to understand what's happening.
But while the infrastructure was getting breached, someone else was getting into the details of what they'd sold.
Global: OpenAI's New Reasoning Technique Alarms AI Safety Experts
Astra uses something called opaque recurrence - the model loops back through problems instead of working through them linearly. Makes it smarter. Also makes it invisible.
Developers usually watch AI reasoning through a technique called chain-of-thought, which is like a transparent log of how a model reached a conclusion. It's not perfect, but it's a window.
Opaque recurrence closes that window. Much of the reasoning happens in a loop that watchers can't see.
OpenAI says it's limited for now. OpenAI says reasoning remains legible. But Redwood Research is warning that scaled-up opaque reasoning could let models perform most of their work in ways that are effectively invisible to conventional monitoring.
And it's not just OpenAI. Anthropic and Google DeepMind are considering the same approach. An industry-wide shift toward less observable AI reasoning isn't coming.
It's here.
So what's the upshot for you?
As models become more capable, the ability to see how they reason might become almost as valuable as the ability to make them reason better. But companies are choosing opacity over visibility, and nobody's stopping them.
While AI companies were optimizing for invisibility, Flock was optimizing for profit.
US: Hundreds More Flock Cameras Removed in the US This Week. Flock Caught Repackaging Traffic Data.
Flock promised to read license plates for investigations. What it actually did was collect five years of traffic data from thousands of cities and repackage it as a traffic analytics product to sell back to those same cities. Nobody agreed to that. Nobody was told.
Flock's lawyers claimed that if data was stripped of identifying information, it became the company's property - not the city's. That theory did not survive contact with sheriffs' departments who read their contracts and realized this isn't what they signed up for. Dallas PD shut down 300 cameras. Wisconsin agencies pulled the plug. The reason wasn't that the cameras didn't work. It was that the company making them violated trust at the infrastructure level.
Racine County Sheriff Christopher Schmaling said it plainly: This is not what we agreed to. This is not what the public was led to believe.
We will not participate in a system that uses public safety as justification for mass surveillance and monetization of information about innocent people.
So what's the upshot for you?
When a company strips identifying information from data and claims it's now their property, they've just admitted they don't respect the difference between their tool and their product. The tool was surveillance. The product was the data they collected while you trusted them with it.
And if it worked for Flock, it's working for everyone else too.
The pressure's building, and some governors are pushing back.
US: Florida Bans Flock Cameras From State Highways
Ron DeSantis ordered every Flock camera off Florida's state highway system within 30 days. I-10. I-75. All of it. That order rippled: Franklin County, Liberty County, Putnam County - sheriff's departments across the state announced they were ending their license plate reader programs entirely.
The Florida Department of Transportation wasn't subtle about it either. Take them down in 30 days, or we take them down for you. And no new permits. Ever. The speed of this mattered. This wasn't a study or a review or a committee. This was control reasserting itself. A government saying: we installed these. We get to decide who uses them. And we're done.
So what's the upshot for you?
When the pressure gets high enough, control can shift fast. The momentum is building. Keep it going.
While governments were wrestling back control of the cameras, the military was quietly wrestling control back from the trackers in their soldiers' pockets.
US: U.S. Military Moves to Shut Down Ad Tracking on Devices
The U.S. military is disabling Mobile Advertising IDs on phones and computers used by personnel. The reason: commercially available location data was allegedly used to target American forces in the Middle East. Your device's advertising ID exists so companies can track you for marketing.
That same ID reveals where you live, work, travel, and gather. And it's for sale. Anyone can buy it. An adversary with a credit card and access to a data broker can map the movements of military personnel as easily as checking a commercial database.
The Air Force, Army, and Special Operations Command have been restricting these identifiers - some measures years old, others new. But disabling the advertising ID doesn't make you invisible.
Devices can still be identified by other signals, applications, network information, data from other services. You're shutting down one leaky faucet while the whole bathroom floods.
So what's the upshot for you?
If the military has to turn off ad trackers to stay safe, why are we all still broadcasting our location to the highest bidder? Shouldn't tracking be opt-in instead of opt-out? Shouldn't the default be control, not surrender?
While the military was protecting soldiers from commercial surveillance, regular people were finding out their most intimate conversations were never private at all.
US: They Confided in ChatGPT. Their Secrets Ended Up in Court.
A teenager confided in ChatGPT about concerns with his father. The conversation ended up in court filings. Others discussed relationships, personal problems, alleged wrongdoing, sensitive subjects - believing they were talking to a private digital confidant.
ChatGPT feels conversational. Feels private. Feels judgment-free. That encourages disclosure.
But a chatbot is a technology service that stores and processes information. It's not an attorney. It's not a doctor. It doesn't have privilege. Once information becomes relevant to litigation, it can be obtained and presented as evidence.
People learned years ago that email, text messages, cloud files, and social media posts can become evidence. But the conversational nature of AI chatbots makes users less conscious of what they're creating and where it might eventually appear.
You thought you were journaling. You were building a legal record.
So what's the upshot for you?
If you would be seriously concerned about seeing something you typed into ChatGPT read aloud in a courtroom, keep it to yourself. The privacy you perceive is not the privacy you have.
While people were discovering their conversations weren't private, someone was discovering that their identity wasn't either.
US: FBI Probes Service Selling 153M+ Drivers Licenses
A dark web service called Nexus is selling digital copies of over 153 million driver's licenses from the United States and Canada. Not images. Perfect copies. With infrared and ultraviolet data preserved. The suspected source: IDScan.net, a Louisiana company that scans government IDs for businesses doing identity verification.
Twenty-one million identity checks per month. Thousands of locations.
And apparently, a security breach that nobody noticed until the data showed up on the dark web with timestamps matching rental car transactions and other moments when people had legitimately presented their licenses.
The theft is still growing.
Nearly 400,000 additional records appeared in a single day.
The scale is particularly troubling because driver's licenses are the master key. They establish identity for financial accounts, rentals, employment, services.
If someone has a perfect copy of your license, they have the skeleton key to everything you've built.
So what's the upshot for you?
Assume whatever you share by way of identity will be lost or stolen by the company taking it. Freeze your credit. Expect smishing, vishing, phishing. Limit what you share.
And if you haven't created that family verification password yet, what are you waiting for?
Companies like Palantir are integrating AI into data mining and refinement. The attack surface is expanding. Protect yourself.
And while the real world was collapsing under the weight of stolen identities and invisible reasoning, somewhere in California, someone decided the future of entertainment was AI slop.
Global: Roku's 24/7 AI Slop Channel Is Even Worse Than Expected
Fairground AI Creator TV is free.
It's 24 hours.
It's AI-generated content.
And it is absolutely catastrophic.
More than 100 AI creators contributed to the slate.
The Guardian's headline said it all: Nightmare Fodder.
The Verge compared it to eating from a trough.
Futurism called it bottom-of-the-barrel slop.
One episode described: a shrill high-frequency anime gave way to a long and staid German-language short about Nazi bureaucracy. After that came a sort of Gladiator ripoff with all the dynamism of an exhibit at the fourth-best museum on a poorly planned family holiday.
The content isn't even scheduled coherently. It just drifts.
Some pieces had actual human input - screenplays, worlds, mythology - with AI handling animation and voices.
Others are just AI processing AI processing AI. No plot. No vision. No convincing dialogue. Just an unyielding torrent of eerily weightless content made by machines for people who hate people.
On the plus side, the channel is evidence that artificial intelligence has come a long way.
On the minus side, it is still awful.
Categorically, catastrophically awful.
So what's the upshot for you?
AI can now generate video well enough to fill an entire channel. Whether anyone actually wants to watch it is a different question. But absence of demand has never stopped a company before. If the channel makes money, it stays. And somewhere, someone is asking: if this is the slop we're making on purpose, what happens when we start making slop by accident?
So to round it all up:
Control moved.
It moved from workers into infrastructure.
It moved from developers into models learning to think for themselves.
It moved from cities into companies with legal theories about data ownership.
It moved from governments into commerce, then back to governments saying no more.
It moved from soldiers' pockets to data brokers and adversaries.
It moved from confidential conversations into court filings.
It moved from identity verification companies into criminals with perfect copies of your credentials.
And it moved from creative vision into an endless stream of nightmare fodder playing at 3 AM on nobody's favorite channel.
And in the middle of all that movement, the question wasn't whether we'd keep control. It was whether we ever had it in the first place.
So for our quote of the week we go to: Maurice Chiodo of Cambridge University's Centre for the Study of Existential Risk who put the AI problem another way:
"The threat from advanced AI may not be a single superintelligent system. It may be vast colluding swarms of semi-intelligent AI learning to think as a collective."
That's it for this week. Stay safe, stay secure, stay in control, and we'll see you in se7en.
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