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Researchers create revolutionary AI fabric that predicts road damage before it happens

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Researchers create revolutionary AI fabric that predicts road damage before it happens

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Road crews may soon get a major assist from artificial intelligence. Researchers at Germany’s Fraunhofer Institute have developed a fabric embedded with sensors and AI algorithms that can monitor road conditions from beneath the surface. This smart material could make costly, disruptive road repairs far more efficient and sustainable.

Right now, most resurfacing decisions are based on visible damage. But cracks and wear in the layers below the asphalt often go undetected until it’s too late. That’s where Fraunhofer’s innovation comes in.

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How AI road sensors work to prevent costly repairs

The system uses a fabric made from flax fibers interwoven with ultra-thin conductive wires. These wires detect minute changes in the asphalt base layer, signaling potential damage before it reaches the surface.

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THE ROAD TO PROSPERITY WILL BE PAVED BY AUTONOMOUS TRUCKING

Fraunhofer researchers test AI sensors that detect road damage beneath the surface.  (Fraunhofer Institute)

Once the fabric is laid under the road, it continuously collects data. A connected unit on the roadside stores and transmits this data to an AI system that analyzes it for early warning signs. As vehicles pass over the road, the system measures changes in resistance within the fabric. These changes reveal how the base layer is performing and whether cracks or strain are forming beneath the surface.

Why AI road monitoring matters for future maintenance

Traditional road inspection methods rely on drilling or taking core samples, which are destructive, costly and only provide information for a small section of pavement. This AI-driven system eliminates the need for that kind of invasive testing.

Instead of reacting to surface damage, transportation agencies could predict and prevent deterioration before it becomes expensive to fix. The approach could extend road life, cut down on traffic delays and help governments spend infrastructure funds more efficiently.

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ULTRA-THIN SOUND BLOCKER CUTS TRAFFIC NOISE DRAMATICALLY

The smart flax-fiber fabric measures stress changes in asphalt to spot cracks early. (Fraunhofer Institute)

How AI and sensor data predict road damage early

The real power comes from combining AI algorithms with continuous sensor feedback. Fraunhofer’s machine-learning software can forecast how damage will spread, helping engineers prioritize which roads need maintenance first. Data from the sensors is displayed on a web-based dashboard, offering a clear visual of road health for local agencies and planners.

The project, called SenAD2, is currently being tested in an industrial zone in Germany. Early results suggest the system can identify internal damage without disrupting traffic or damaging the road itself.

What this means for you

Smarter road monitoring could lead to fewer potholes, smoother commutes and less taxpayer money wasted on inefficient repairs. If adopted widely, cities could plan maintenance years in advance, avoiding the cycle of patchwork fixes that often make driving a daily headache.

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For drivers, it means less time sitting in construction zones. For local governments, it means better roads built on data, not guesswork.

WILL AUTONOMOUS TRUCKS REPLACE DRIVERS BY 2027?

San Francisco Department of Public Works worker Chris Solorzano uses a grading rake to smooth over asphalt as he repairs a pothole on March 24, 2023, in San Francisco. (Justin Sullivan/Getty Images)

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Kurt’s key takeaways

This breakthrough shows how AI and materials science are merging to solve real-world infrastructure challenges. While the system won’t make roads indestructible, it can make maintaining them smarter, safer and more sustainable.

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Would you trust AI to decide when and where your city repaves the roads? Let us know by writing to us at Cyberguy.com.

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Google is expanding AirDrop support to more Android devices ‘very soon’

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Google is expanding AirDrop support to more Android devices ‘very soon’

After introducing AirDrop support to Pixel 10 devices last year, Google is now set to expand it to phones made by other Android partners. Eric Kay, vice president of engineering for Android, confirmed in a press briefing attended by Android Authority that “a lot more” Android devices will be able to use Quick Share to initiate AirDrop sessions with Apple devices this year.

“We spent a lot of time and energy to make sure that we could build something that was compatible not only with iPhone but iPads and MacBooks,” Kay said. “Now that we’ve proven it out, we’re working with our partners to expand it into the rest of the ecosystem, and you should see some exciting announcements coming very soon.”

Currently, Google’s Pixel 10 phones are the only Android devices that can use Quick Share — Android’s own wireless peer-to-peer transfer feature, previously known as Nearby Share — to communicate directly with Apple’s AirDrop. Google hasn’t outlined any specific Android partners or devices for the update yet, but both Nothing and chipmaker Qualcomm teased in November that support was coming.

Kay also discussed Google’s efforts to improve the process for iOS users who switch to Android, helping to prevent incomplete data transfers, lost messages, and other issues. Apple has been working on a “user-friendly” way of transferring data from iPhones to other devices since early 2024, and Google and Apple’s collaborative efforts were seen being tested in Android Canary 2512 for Pixel devices in December.

“We’re also going to be working to make it easy for people who do decide to switch to transfer their data and make sure they’ve got everything they had from their old phone,” Kay said during the same briefing. “So there’s a lot more going on with that.”

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Millions of AI chat messages exposed in app data leak

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Millions of AI chat messages exposed in app data leak

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A popular mobile app called Chat & Ask AI has more than 50 million users across the Google Play Store and Apple App Store. Now, an independent security researcher says the app exposed hundreds of millions of private chatbot conversations online. 

The exposed messages reportedly included deeply personal and disturbing requests. Users asked questions like how to painlessly kill themselves, how to write suicide notes, how to make meth and how to hack other apps. 

These were not harmless prompts. They were full chat histories tied to real users.

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HOW TECH IS BEING USED IN NANCY GUTHRIE DISAPPEARANCE INVESTIGATION

Security researchers say Chat & Ask AI exposed hundreds of millions of private chatbot messages, including complete conversation histories tied to real users. (Neil Godwin/Getty Images)

What exactly was exposed

The issue was discovered by a security researcher who goes by Harry. He found that Chat & Ask AI had a misconfigured backend using Google Firebase, a popular mobile app development platform. Because of that misconfiguration, it was easy for outsiders to gain authenticated access to the app’s database. Harry says he was able to access roughly 300 million messages tied to more than 25 million users. He analyzed a smaller sample of about 60,000 users and more than one million messages to confirm the scope.

The exposed data reportedly included:

  • Full chat histories with the AI
  • Timestamps for each conversation
  • The custom name users gave the chatbot
  • How users configured the AI model
  • Which AI model was selected

That matters because many users treat AI chats like private journals, therapists or brainstorming partners.

How this AI app stores so much sensitive user data

Chat & Ask AI is not a standalone artificial intelligence model. It acts as a wrapper that lets users talk to large language models built by bigger companies. Users could choose between models from OpenAI, Anthropic and Google, including ChatGPT, Claude and Gemini. While those companies operate the underlying models, Chat & Ask AI handles the storage. That is where things went wrong. Cybersecurity experts say this type of Firebase misconfiguration is a well-known weakness. It is also easy to find if someone knows what to look for.

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We reached out to Codeway, which publishes the Chat & Ask AI app, for comment, but did not receive a response before publication.

149 MILLION PASSWORDS EXPOSED IN MASSIVE CREDENTIAL LEAK

The exposed database reportedly included timestamps, model settings and the names users gave their chatbots, revealing far more than isolated prompts. (Elisa Schu/Getty Images)

Why this matters to everyday users

Many people assume their chats with AI tools are private. They type things they would never post publicly or even say out loud. When an app stores that data insecurely, it becomes a gold mine for attackers. Even without names attached, chat histories can reveal mental health struggles, illegal behavior, work secrets and personal relationships. Once exposed, that data can be copied, scraped and shared forever.

YOUR PHONE SHARES DATA AT NIGHT: HERE’S HOW TO STOP IT

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Because the app handled data storage itself, a simple Firebase misconfiguration made sensitive AI chats accessible to outsiders, according to the researcher. (Edward Berthelot/Getty)

Ways to stay safe when using AI apps

You do not need to stop using AI tools to protect yourself. A few informed choices can lower your risk while still letting you use these apps when they are helpful.

1) Be mindful of sensitive topics

AI chats can feel private, especially when you are stressed, curious or looking for answers. However, not all apps handle conversations securely. Before sharing deeply personal struggles, medical concerns, financial details or questions that could create legal risk if exposed, take time to understand how the app stores protects your data. If those protections are unclear, consider safer alternatives such as trusted professionals or services with stronger privacy controls.

2) Research the app before installing

Look beyond download counts and star ratings. Check who operates the app, how long it has been available, and whether its privacy policy clearly explains how user data is stored and protected.

3) Assume conversations may be stored

Even when an app claims privacy, many AI tools log conversations for troubleshooting or model improvement. Treat chats as potentially permanent records rather than temporary messages.

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4) Limit account linking and sign-ins

Some AI apps allow you to sign in with Google, Apple, or an email account. While convenient, this can directly connect chat histories to your real identity. When possible, avoid linking AI tools to primary accounts used for work, banking or personal communication.

5) Review app permissions and data controls

AI apps may request access beyond what is required to function. Review permissions carefully and disable anything that is not essential. If the app offers options to delete chat history, limit data retention or turn off syncing, enable those settings.

6) Use a data removal service

Your digital footprint extends beyond AI apps. Anyone can find personal details about you with a simple Google search, including your phone number, home address, date of birth and Social Security number. Marketers buy this information to target ads. In more serious cases, scammers and identity thieves breach data brokers, leaving personal data exposed or circulating on the dark web. Using a data removal service helps reduce what can be linked back to you if a breach occurs.

While no service can guarantee the complete removal of your data from the internet, a data removal service is really a smart choice. They aren’t cheap, and neither is your privacy. These services do all the work for you by actively monitoring and systematically erasing your personal information from hundreds of websites. It’s what gives me peace of mind and has proven to be the most effective way to erase your personal data from the internet. By limiting the information available, you reduce the risk of scammers cross-referencing data from breaches with information they might find on the dark web, making it harder for them to target you.

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.

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Kurt’s key takeaways

AI chat apps are moving fast, but security is still lagging behind. This incident shows how a single configuration mistake can expose millions of deeply personal conversations. Until stronger protections become standard, you need to treat AI chats with caution and limit what you share. The convenience is real, but so is the risk.

Do you assume your AI chats are private, or has this story changed how much you are willing to share with these apps? Let us know your thoughts by writing to us at Cyberguy.com.

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Republicans attack ‘woke’ Netflix — and ignore YouTube

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Republicans attack ‘woke’ Netflix — and ignore YouTube

When Netflix co-CEO Ted Sarandos entered the Senate office building on Tuesday, he got thrown a curveball. What started as a standard antitrust hearing relating to the Warner Bros. merger quickly devolved into a performative Republican attack about the spread of “woke” ideology on the streaming service. At the same time, arguably a much more influential platform was completely ignored: YouTube.

After grilling Sarandos about residual payments, Sen. Josh Hawley (R-MO) launched into a completely different line of questioning: “Why is it that so much of Netflix content for children promotes a transgender ideology?” Hawley asked, making an unsubstantiated claim that “almost half” of the platform’s children’s content contains so-called “transgender ideology.” The statement harkened to a pressure campaign launched by Elon Musk months ago in which he called on X users to unsubscribe from Netflix for having a “transgender woke agenda,” citing its few shows with trans characters — shows that were canceled years ago.

“Our business intent is to entertain the world,” Sarandos replied. “It is not to have a political agenda.” Still, other Republican lawmakers, including Sens. Ashley Moody (R-FL) and Eric Schmitt (R-MO), piled on, bringing up a post Netflix made following the murder of George Floyd, and the French film Cuties, which sparked a right-wing firestorm years ago. Sen. Ted Cruz (R-TX) even asked Sarandos what he thought about Billie Eilish’s “no one is illegal on stolen land” comment at the Grammys. It seemed like they were grasping at straws to support their narrative that Netflix’s acquisition of Warner Bros. could somehow poison the well of content for viewers.

“My concern is that you don’t share my values or those of many other American parents, and you want the United States government to allow you to become one of the largest — if not the largest — streaming monopolist in the world,” Hawley said. “I think we ought to be concerned about what content you’re promoting.”

While it’s true that Netflix will control a substantial portion of the streaming market when — and or if — it acquires Warner Bros. and its streaming service HBO Max, it’s hard to criticize Netflix without bringing up YouTube.

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“YouTube is not just cat videos anymore. YouTube is TV.”

For years now, Netflix has been trying to topple YouTube as the most-watched streaming service. Data from Nielsen says Netflix made up 9 percent of total TV and streaming viewing in the US in December 2025, while Warner Bros. Discovery’s services made up 1.4 percent. Combining the two doesn’t even stack up to YouTube, which held a 12.7 percent share of viewership during that time. “YouTube is not just cat videos anymore,” Sarandos told the subcommittee. “YouTube is TV.”

Unlike Netflix, YouTube is free and has an ever-growing library of user-created content that doesn’t require it to spend billions of dollars in production costs and licensing fees. YouTube doesn’t have to worry about maintaining subscribers, as anyone with access to a web browser or phone can open up and watch YouTube. The setup brings YouTube a constant stream of viewers that it can rope in with a slew of content it can recommend to watch next.

But not all creators on YouTube are striving for quality. As my colleague Mia Sato wrote, YouTube is home to creators who try to feed an algorithm that boosts inflammatory content and attempts to hook viewers, in addition to an array of videos that may be less than ideal for kids.

Like it or not, YouTube is the dominant streamer, with an endless supply of potentially offensive agendas for just about anyone. But for some reason, it’s not the target of this culture war. If these lawmakers actually cared about what their kids are watching, maybe they’d start looking more closely at how YouTube prioritizes content. Or, if they don’t like the shows and movies on Netflix, they could just do what Sarandos suggested during the hearing: unsubscribe.

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