Technology
Amazon security research reportedly led to the White House’s Anthropic Fable ban
According to the Wall Street Journal, the export control directive that led to Anthropic cutting off access to Fable 5 and Mythos 5 was triggered in part by cybersecurity research from Amazon and conversations between CEO Andy Jassy and the White House. According to the report, the paper from Amazon claims that, through a series of prompts, it was able to get Fable 5 to serve up information that could be used in cyberattacks. Amazon has yet to respond to a request for comment.
Shortly after Jassy shared the company’s findings with the government, it made the call to block its use by foreign nationals. Complicating this issue is that many of Anthropic’s researchers are foreign-born, meaning they were barred from accessing their own product.
In a statement, Anthropic disputed the government’s characterization of the issue as a “jailbreak.” It argued that many of the same vulnerabilities could be discovered using other publicly available models, including GPT 5.5. Some security researchers appear to back the company’s interpretation. Katie Moussouris, the founder and CEO of LutaSecurity posted on BlueSky that “I’ve seen the paper. It’s not a jailbreak.” Former Commerce Department official Kate Koren speculated to the WSJ that the White House’s dislike of Anthropic may have influenced the decision.
Anthropic and the Trump administration have been at odds for some time over the company’s refusal to allow its AI to be used for mass surveillance of Americans or to power lethal autonomous weapons. In February, Trump instructed federal agencies to stop using Anthropic’s AI. And just hours later, Secretary of Defense Pete Hegseth designated the company a supply chain risk.
The government and the company seemed to have made amends, and the two had worked together to expand access to Mythos. However, now the two seem destined to clash again.
Technology
Smart street sensors could be watching your city next
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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.
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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.
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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.
WASHINGTON COURT SAYS FLOCK CAMERA IMAGES ARE PUBLIC RECORDS
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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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
Facebook’s new AI Mode search gets its info from public posts
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.
Technology
Text job scam cost him $10K in crypto
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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.
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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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Copyright 2026 CyberGuy.com. All rights reserved.
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