As the rest of the country celebrated the USA’s first World Cup win and the New York Knicks championship, Anthropic spent its weekend fighting the Trump administration over its latest model release. At 5:21 PM on Friday, the company received a US export control directive to suspend access to its Mythos 5 and Fable 5 AI models by “any foreign national” inside or outside the US, “including foreign national Anthropic employees.” The only way that was possible, Anthropic determined, was to completely disable products it spent the past week hyping — and travel to Washington, DC in hopes of changing President Donald Trump’s mind. Now, over the coming days, the US government could dramatically alter the trajectory of the entire industry, dealing a major blow to American AI companies.
Technology
Inside the fight over Claude Mythos 5
Claude Mythos 5 and Fable 5 are built on the same foundation as Anthropic’s Mythos Preview, which Anthropic dubbed too dangerous to publicly release. (The company’s warnings could be seen as genuine concern or more hype for their own model — or both.) Mythos 5 was made available to a select group of government agencies and companies, while Fable 5, which featured additional safeguards, was deemed “safe for general use.” But when a report indicated those guardrails may have failed, Anthropic’s dire warnings about Mythos falling into the wrong hands came back to haunt it.
A source familiar with the situation, who participated in the negotiations between Anthropic and the Trump administration, said the administration called the AI lab on Friday around 1pm ET and gave the company a 90-minute ultimatum to shut down access to Mythos 5 and Fable 5. If it didn’t, then the government would impose export controls on Anthropic by authority of the US Commerce Department.
The source said that Anthropic executives were talking to the White House within 15 minutes of that first call, confirming that CEO Dario Amodei joined the discussions about an hour and 15 minutes after that initial call. Amodei directly spoke with US Treasury Secretary Scott Bessent, Commerce Secretary Howard Lutnick, and National Cyber Director Sean Cairncross, in some cases more than once, the source confirmed.
Anthropic wrote in a release on Friday that the company believed that the government “believes it has become aware of a method of bypassing, or ‘jailbreaking’ Fable 5.” Rather than an existential threat, though, Anthropic said that the jailbreak in question was a “potential narrow, non-universal” one that was “shared with the government” by an entity the company declined to name. Moreover, Anthropic said the behavior wasn’t unique to Fable 5. “We have reviewed a report that we believe is the basis of the government’s directive and validated that the level of capability displayed there is widely available from other models (including OpenAI’s GPT-5.5),” Anthropic wrote.
Semafor reported, citing one source familiar, that the hubbub began because the US government was concerned that a China-linked group had accessed the technology. But the source said that the China rumors went back weeks, referring to a large global telecommunications company that was initially cleared to be included in access to Mythos Preview, and that when the US government shared its concerns, Anthropic immediately revoked access.
An X post by David Sacks, the US government’s former AI and crypto czar who stepped down in March, didn’t mention China either. Sacks did, however, mention the unnamed entity that had exposed the issue to the government, calling it “a highly credible trusted partner of both Anthropic and the USG who was testing Fable [which] came forward with a jailbreak of those guardrails.”
Some reports point to Amazon CEO Andy Jassy as the person who flagged concerns to the US government after researchers at Amazon had red-teamed Fable 5. That conclusion stands at odds with some independent red-teamers, who have said they were impressed with the level of the protections.
The source familiar with the negotiations said that the Amazon research was explicitly mentioned in conversations with the US government. The person added that Anthropic had had access to that paper within days of the Friday export control directive and had been going back-and-forth since then with Amazon researchers to discuss it.
Everything in that paper, the source said, could be achieved by OpenAI’s GPT-5.5.
Anthropic spent the weekend scrambling to make nice with the Trump administration, beginning with virtual meetings and then flying employees to DC, including Dave Orr, Anthropic’s head of safeguards; Logan Graham, who runs its frontier red team and has led work on Project Glasswing; and Nicholas Carlini, a leading frontier developer and cybersecurity researcher. Axios reported, citing a source familiar with the Trump administration’s thinking, that the company simply has repeatedly made missteps in its communication with the administration and that it “has not done a great job at trying to speak to the administration and appreciate the ideological differences.” For Anthropic, the timing couldn’t be worse: the company had banked on Mythos to help it recover, in part, from months of high-profile clashes with the US Department of Defense.
The source familiar with the negotiations said that Anthropic pre-briefed the administration on Fable 5, and that the US Department of Commerce conducted testing pre-deployment, with no concerns shared at the time. The source added that Anthropic had been working closely with government agencies since Mythos Preview’s release.
The Trump administration initially took a hands-off approach to AI safety — but post-Mythos, it has become more ambivalent, even as it frets over the threat of losing the AI race to China. Now, prominent cybersecurity leaders have warned that sidelining Mythos 5 and Fable 5 could give China a significant AI advantage. Trump’s move has galvanized international calls for alternatives to American AI systems, while effectively putting a major US AI company’s new flagship model on ice.
A public letter from tech and cybersecurity executives called for restrictions on Fable 5 to be repealed on Sunday. “Not all of us agree that AI regulation is the right way forward,” the letter states, adding that if regulations are going to happen regardless, then they should be rooted in “scientific evaluations developed with input from industry and academia.”
Alex Stamos, chief product officer at Corridor, told The Verge he organized the public letter because the countless number of vulnerabilities in the past decade-plus, written in a variety of different coding languages, require AI to patch before bad actors find them. “We’re in a race, and I think policymakers don’t understand that,” Stamos said. “There’s this weird arrogance, this idea that American labs are hugely ahead of our adversaries that will always be true, that it’s really important to restrict access because of that. I just think that’s foolish. If the labs are ahead, it’s only by a matter of months. And you can see that in the open evaluations. The cutting-edge models are only something like six months ahead of the Chinese models — and those are the models we know about.”
The public letter goes on to state that though Anthropic’s Mythos-class models are skilled at finding cybersecurity vulnerabilities and taking advantage of exploits, they aren’t “uniquely good” at these tasks and that Fable 5’s safeguards “were so aggressive as to be the source of humor in the cyber community on launch day.” Stamos told The Verge that “there’s a real overstatement of Mythos’ capabilities. Anthropic is somewhat responsible for this themselves, clearly … Mythos is great, but the real turning point was really last year.”
Stamos said the industry is awash with backup contracts being signed with non-US companies and open-weight models being deployed on alternative hardware arrangements because the past weekend made political risk part of companies’ business plans more than ever before.
“They are laughing at us in Beijing right now,” Stamos said. “One of America’s champions is being kneecapped by the US government while we’re in a race with the Chinese. It’s just incredibly stupid. That’s why I wrote the letter, and I think that’s why a lot of people signed onto it.”
Ben Van Roo, co-founder and CEO of Legion Intelligence, a system of agents for the national security community, told The Verge that “the directive of ‘no foreign national should use this model’ is the most impossible thing to enforce.” He added, “When I first read that, my whole… [network of] AI community nerds was exploding.”
To make matters even more urgent, OpenAI, Google, and Microsoft have all come out with their own comparable products to Anthropic’s Mythos, making many of the same claims about their effectiveness and risks. If the Trump administration bans Anthropic’s advanced cybersecurity models, it can make a case for banning its competitors’ models, too. That could spur AI industry leaders to unite and help out Anthropic or, as with its fight over autonomous weapons with the Pentagon, position themselves as a safer and more compliant alternative.
Even as the Trump administration is trying to free tech companies of regulatory hassles, the Anthropic order could amount to a dramatic restriction on powerful AI models — depending on how the next few days play out.
Legion Intelligence’s Van Roo called it “uncharted territory” in the regulatory setting, adding that he doesn’t think this is the last time something like this will happen.
We’ve also entered the era of AI populism, when a growing number of people are pushing back against the AI industry’s outsized influence and the concentration of power at the top via data center protests, pledges to quit using AI chatbots, lawsuits over wrongful deaths, and even attempted attacks on AI company CEOs. Van Roo says the Trump administration’s recent moves against Anthropic could stoke “greater fears and concerns, potentially for the wrong reasons.”
The source familiar with the negotiations described the weekend’s conversations as constructive, with some members of the administration admitting that putting export controls on model providers isn’t ideal, since competitors with similar products may find themselves under the same restrictions — and since the US government is currently exploring a program that would encourage the export of American AI systems.
Monday’s talks concluded with no resolution as of yet.
As Anthropic continues to negotiate with the US government, there’s little chance that the company’s other myriad issues with the Pentagon won’t come up — namely, the ongoing battle between Anthropic and the Department of Defense over acceptable usage policies for Anthropic’s tech by the US military.
“This is new and we’ve never had anything potentially this drastic before, and it does have some real ramifications” in terms of how to enforce access to powerful models, Van Roo said. “Who gets to use this new technology that continues to outpace our own ability to regulate it?”
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New York City is expanding the use of small street activity sensors that count pedestrians, cyclists, buses and vehicles. The city says the goal is safer street design, better traffic planning and a clearer picture of how people actually use roads. That may sound like a very New York story. However, it is really a sign of where many U.S. cities could be headed.
Across America, towns and cities are trying to solve the same problems. Drivers speed through busy corridors. Pedestrians cross where there is no crosswalk. Cyclists squeeze past parked cars. Buses get stuck in traffic. City leaders often have to make expensive safety decisions with limited data. Now, sensors can watch those patterns all day and all night.
HOW SURVEILLANCE TECH LED POLICE TO ACCUSE THE WRONG PERSON
Transportation officials say smart sensors can help reveal how people actually use roads, from mid-block crossings to blocked bike lanes. (NYC DOT)
The promise is safer streets. The concern is privacy. The big question is whether cities can use this technology without making everyone feel like they are being watched.
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Smart street sensors are coming to U.S. roads
The New York City Department of Transportation says it will expand its street activity sensor program to about 100 locations across the five boroughs. The city first tested the sensors at 20 intersections during a pilot program that began in 2023. Now, it plans to add about 80 more locations.
The tech behind the sensors is a form of AI called computer vision. In simple terms, the device looks at the street scene and classifies what it sees. That could be a pedestrian, cyclist, car, truck, bus or scooter. NYC DOT says the processing happens in real time. The video frames are deleted nearly instantly after the sensor collects the count.
The devices are mounted on city street infrastructure, such as poles or signs. Beyond counting different road users, the sensors can also measure speeds, capture turning movements and map how people move through a street or intersection.
How smart street sensors track traffic
Traditional traffic studies often depend on workers standing near a road and counting what they see. That can work, but it has limits.
A worker may count vehicles for a few hours. A city may collect data during one part of the day. Bad weather, school schedules, holiday traffic or construction can skew what gets recorded. Smart street sensors change that.
They can collect street activity data continuously. That gives transportation officials a much broader view of what happens over time. For example, a sensor may show that pedestrians cross mid-block every morning because a crosswalk is too far away. It may show that cyclists keep swerving around loading trucks. It may show that vehicles turn too fast near a school or bus stop. That kind of information can help cities redesign streets around real behavior, not just how people are supposed to move.
Why smart street sensors could make roads safer
Street safety often starts after something terrible happens. A crash occurs. A complaint gets filed. A dangerous intersection gets attention.
Smart sensors could help cities act sooner. The sensors can detect what transportation officials call near-misses. These are close calls that do not always show up in crash reports.
Think about a car door that swings open near a cyclist. Or a driver who turns while a pedestrian is already crossing. Or a delivery truck that blocks a driver’s view at a busy corner. Nobody may get hurt in that moment. Still, the pattern can reveal real danger.
If sensors detect repeated close calls in the same place, city planners may have a stronger reason to act before a crash happens. That could mean adding a crosswalk, changing signal timing, redesigning a bike lane or adjusting how curb space gets used.
AI DASHCAMS ENHANCE TRUCKER SAFETY WHILE RAISING PRIVACY CONCERNS
New York City is expanding smart street sensors that count pedestrians, bikes, buses and vehicles as officials look for safer street designs. (NYC DOT)
What smart street sensors may reveal
The most interesting part of this technology may be what it shows cities about everyday habits. Roads rarely work the way they look on a planning map. People cross where it feels convenient. Cyclists avoid lanes that feel unsafe. Drivers speed up when a road feels too wide. Buses slow down when curb space gets clogged. A sensor can help document those patterns.
That could help cities answer practical questions: Are pedestrians crossing in the same unsafe spot every day? Do cyclists avoid a certain bike lane because cars block it? Do buses slow down near busy loading zones? Are drivers turning too quickly near a school? Is a street redesign actually working? Better answers could lead to better decisions. But only if cities use the data in a way people can see and understand.
Smart street sensors raise privacy questions
This is where many people will pause. A sensor on a street pole can sound helpful. It can also sound creepy.
New York City says the sensors are designed with privacy in mind. According to the DOT, video is processed in real time and then discarded. The city says only anonymous data is kept. Faces and license plates are deliberately obscured.
That means the system is supposed to keep the traffic pattern, not the personal identity behind it.
Still, privacy concerns will not disappear with one promise from city officials. People have good reason to ask what gets collected, how long data is stored, who can access it and whether the rules could change later.
Those questions matter for every city that considers similar technology. Safer roads are important. So are clear limits on how much street-level data a city collects.
Why public access to street sensor data matters
If taxpayers help fund street sensors, the public should know what the sensors find. New York City says some information will be added to its open data page. Street safety advocates want more regular reporting. That is important.
A city should not collect information from public streets and then bury the results in a hard-to-find system. Residents should be able to see whether the technology leads to safer crossings, better bike routes, faster buses or fewer dangerous close calls.
Public reporting also helps build trust. If a city says sensors protect privacy, it should show how. If officials say sensors improve safety, they should show the results. Without that transparency, even a useful technology can feel like another layer of surveillance.
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A Flock camera is shown close up with trees in the background, illustrating how surveillance tools can generate leads but still require human verification to avoid mistakes. (Antranik Tavitian/Bloomberg via Getty Images)
What smart street sensors mean for you
Even if you do not live in New York, this rollout is worth watching. Your city may be paying attention to how New York uses this technology. If the program helps planners make safer decisions faster, similar sensors could show up near schools, busy intersections, bike corridors or downtown streets in other communities.
If you walk often, the data could support better crosswalks and safer signal timing. Cyclists may benefit from stronger evidence for protected bike lanes. Drivers could notice new street designs that slow traffic, change turns or shift parking. Bus riders may see improvements if cities use the data to find where transit gets delayed.
However, cities need clear policies before these systems spread. They should explain what the sensors collect, what they delete, who reviews the data and how the public can see the results. Safer streets are a good goal. Public trust is part of getting there.
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Kurt’s key takeaways
Smart street sensors could help cities fix dangerous roads before someone gets hurt. That is the strongest argument for this technology. If a city can spot risky patterns, identify near-misses and redesign streets based on real data, that could save lives. At the same time, cities need to handle privacy with care. People should not have to choose between safer streets and reasonable limits on public surveillance. The best version of this technology gives planners better information while keeping personal details out of the system. New York City may be one of the biggest test cases, but this is now a national conversation.
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Would smart street sensors make you feel safer, or make public streets feel a little too watched? Let us know by writing to us at Cyberguy.com
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Your public Facebook posts could help inform AI-generated results in Meta’s new AI Mode. When you search on Facebook, the “AI Mode” option will appear alongside the usual search modes like “People” and “Marketplace.” It’s one of several new AI features Meta is rolling out starting today, including photo presets that swap sports jerseys onto fans and suggestions for collage templates.
Instead of “just links,” it gives users AI-generated results that pull from publicly-posted content across Meta’s platforms, like the AI search feature in its new Reddit-like Forum app. Users can also ask Meta’s AI follow-up questions in response to the search results it generates.
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A text about making extra money can feel harmless at first. Maybe it shows up while you are between errands, scrolling on the couch or looking for a way to pad your budget.
That is exactly why these scams work. They do not always begin with a wild promise. Often, they start with a simple message about flexible online work. Then the scammer slowly turns curiosity into trust.
Rick S. shared this painful warning after reading one of our articles on scams:
“I am embarrassed to say this happened to me. I was contacted by text message about making some “extra” money. I was skeptical at first. This “company” was supposed to upload apps in order to get more exposure for the apps. This was supposedly associated with a company called APPTimizer. I called myself doing the research and felt confident that this was a legitimate business. I was led to believe the more “APPS” I uploaded, the more money I would make. All of this was done through Crypto. Long story short, I lost about $10k. Hard lesson to learn.”
FAKE JOB INTERVIEW EMAILS INSTALLING HIDDEN CRYPTOCURRENCY MINING MALWARE
A man says he lost $10,000 in cryptocurrency after a text message about easy app work turned into a fake job scam. (Karl-Josef Hildenbrand/picture alliance via Getty Images)
Rick’s story fits a growing scam category often called a task scam, task-optimization scam or crypto job scam. These scams often begin with unexpected texts or WhatsApp messages offering online work. The “job” may involve fake tasks such as app optimization, product boosting, liking content or rating items online.
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What is a text job scam?
A text job scam is a fake employment offer sent by text, WhatsApp, Telegram or social media message. The pitch usually sounds easy. You may be told you can earn money from home by completing simple online tasks.
In Rick’s case, the supposed work involved uploading apps to help them get more exposure. Scammers often use vague tech terms because they sound legitimate without being easy to verify. Task scams commonly use buzzwords like “optimization tasks” or “product boosting.”
That vague wording gives the scammer room to keep changing the story. One day, you are doing small tasks. Then you are told you need to deposit crypto to unlock more work, complete a set or withdraw your supposed earnings.
How a crypto task scam works
The scam often starts with a friendly recruiter. They may claim to represent a real company or a company name that sounds real. That detail matters because a quick online search may not be enough to protect you. Crypto job scammers often pose as employees of legitimate companies. They may contact victims by text, then push the conversation to WhatsApp, Telegram or another private messaging app.
Next, the scammer gives you access to a website or app that shows your “earnings.” At first, you may even be allowed to withdraw a small amount. That early payout makes the whole setup feel legit.
Then the trap tightens. You may be told to add your own money to keep working. The fake platform may show a negative balance. A “customer service” contact may tell you that you need to deposit crypto before you can unlock your account. The FBI warns that victims are often hit with a large deposit requirement after they already have money trapped inside the platform. That is the moment many people keep paying. They are not being careless. They are trying to save the money they have already put in.
Why fake job texts feel so convincing
These scams are built to mess with your judgment. The fake dashboard may show commissions climbing. A group chat may include supposed workers bragging about payouts. A fake customer service rep may sound calm, professional and helpful. Scammers sometimes invite hesitant victims into group chats filled with fake success stories. The goal is simple: make you feel like everyone else understands the system and you are the only one holding back.
That pressure can make a smart person second-guess their gut. It can also create embarrassment, which helps scammers. If victims feel ashamed, they may wait longer to tell someone or report it. Rick’s comment is valuable because it cuts through that shame. He did what many people would do. He researched. He stayed skeptical at first. He still got pulled in.
GOT A BANK TRANSFER ALERT TEXT? IT MIGHT BE A SCAM; HERE’S WHAT TO DO
Text job scams often begin with surprise messages offering flexible online work before pushing victims to send cryptocurrency. (Kurt “CyberGuy” Knutsson)
Why crypto job scams are hard to recover from
Crypto adds speed and distance. Once you send cryptocurrency to a scammer’s wallet, it can be extremely difficult to recover.
That is why scammers love it. The FTC says crypto has become the payment method of choice in many task scams. Job scam losses involving cryptocurrency have surged, according to FTC data.
The FBI’s 2025 Internet Crime Report also shows how costly crypto fraud has become. Americans who filed cryptocurrency-related complaints reported more than $11 billion in losses in 2025.
Red flags of a text job scam
Rick’s story includes several warning signs that everyone should know. The first is the unexpected text. Real companies rarely recruit strangers by random text for easy online work.
The second is the vague job description. “Upload apps,” “optimize apps,” and “boost exposure” may sound tech-related, but a real employer should explain the work clearly.
The third is crypto. A legitimate employer should not require you to use crypto to get paid, unlock tasks or access earnings.
Another warning sign is the idea that the more you put in, the more you can earn. The FBI lists this as a common feature of cryptocurrency job scams.
What to do if you sent money to a job scammer
If this happened to you, stop sending money immediately. Do not pay a “fee,” “tax,” “unlock charge,” or “recovery deposit.” That is often the next stage of the scam.
Then gather everything. Save screenshots of texts, wallet addresses, usernames, websites, transaction IDs, emails and phone numbers. Document the company or scammer name, contact methods, dates, payment methods, where funds were sent and a detailed description of the interactions.
Report the scam to the FBI’s Internet Crime Complaint Center at ic3.gov and to the FTC at ReportFraud.ftc.gov. You should also contact the crypto exchange or wallet service you used. They may not be able to reverse the transfer, but reporting quickly gives you the best chance of getting the transaction flagged.
Also, watch out for recovery scams. If someone contacts you claiming they can get your crypto back for a fee, that is another major red flag.
FROM FRIENDLY TEXT TO FINANCIAL TRAP: THE NEW SCAM TREND
Scammers often pose as recruiters and move victims to private messaging apps before asking for crypto payments. (Kurt “CyberGuy” Knutsson)
Ways to stay safe from text job scams
These scams often start with a simple message, so the best defense is to slow things down before you click, reply or send money.
1) Treat surprise job texts as suspicious
If a job offer arrives out of nowhere by text, slow down. Search the company’s official website on your own. Do not use links sent by the recruiter.
2) Never pay money to get paid
A real job pays you. It does not require you to deposit crypto, buy credits or “recharge” an account before you can collect earnings.
3) Be careful with private messaging apps
Scammers often move conversations to WhatsApp, Telegram or similar apps. That makes the scam feel more personal and harder to trace.
4) Do not trust a fake earnings dashboard
A website can show any number the scammer wants you to see. A growing balance on a screen does not mean real money exists.
5) Search the exact job pitch
Look up phrases from the message in quotes. Search terms like “app optimization scam,” “task scam,” “crypto job scam” and the company name.
6) Call the company directly
If the recruiter claims to represent a real business, contact that company through its official website. Ask whether the job and recruiter are legitimate.
7) Use strong antivirus protection
A fake job text may include a link to a bogus website, a fake app download or a malicious attachment. Strong antivirus software can help block dangerous links, phishing pages and malware before they do damage. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android and iOS devices at CyberGuy.com.
8) Remove your personal data from the web
Scammers can use your name, phone number, address, job history and other personal details to make a fake job pitch sound more believable. A data removal service can help reduce how much of that information is floating around on people-search sites and data broker pages. Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting CyberGuy.com.
9) Talk to someone before sending crypto
Before sending any crypto for a job opportunity, pause and ask a trusted friend, family member or financial institution. A five-minute conversation can save thousands.
10) Report it even if you feel embarrassed
Scammers count on silence. Reporting helps investigators connect wallet addresses, websites and phone numbers to larger fraud networks.
Kurt’s key takeaways
Rick’s story is a tough reminder that scams can look polished enough to fool careful people. He checked things out and still lost $10,000. That is exactly why these fake job offers are so dangerous. They mix hope, pressure, fake proof and crypto into one expensive trap. The safest rule is simple: if a job asks you to send money before you can earn money, walk away. A real paycheck should never start with you paying the employer.
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Have you ever received a text offering easy online work? If so, what happened? Let us know by writing to us at CyberGuy.com.
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