Roger Linn is a legend in the world of musical instruments. He’s been at the cutting edge of music technology for decades. He created the LM-1, the first drum machine to use samples, and its successor, the LinnDrum, is one of the most iconic drum machines of all time. They were used on countless records in the 1980s, including hits by Tom Petty, Queen, and Tears for Fears. But the most notable fan was probably Prince, who used them extensively on Purple Rain and 1999.
Technology
AI smart glasses could generate fake photos instantly
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Smart glasses are gaining new momentum thanks to artificial intelligence (AI). Companies like Google, Meta, Samsung and possibly Apple are exploring AI-powered glasses that combine cameras, speakers, voice assistants and computer vision in a wearable device.
At first glance, the features sound familiar. Smart glasses can take photos, give directions, answer questions and help you navigate the world hands-free. However, a recent demo hints at something much bigger.
These glasses may soon generate or alter photos instantly. In other words, the image you capture may no longer reflect what was actually there.
That raises an important question: If AI can change a photo the moment it is taken, how do we know what is real anymore?
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SMART GLASSES DETECTOR APP WARNS IF YOU’RE BEING RECORDED
Google product lead Dieter Bohn demonstrates prototype AI smart glasses during a demo showing how the device can capture and modify photos using generative AI. (X/ @backlon)
A new AI trick inside smart glasses
During a demo of upcoming smart glasses, Google’s Dieter Bohn showed how the device could capture a photo and modify it using AI. The prototype, shown as Android XR glasses with a display, connects to Google’s generative AI tools, including Google Gemini and an experimental image generator called Nano Banana.
In the demonstration, Bohn asked the glasses to take a photo of people in the room. Then he gave another command. He asked the system to place those people in front of the famous church in Barcelona that he could not remember by name.
Within moments, the AI produced a new image showing the group standing in front of the Sagrada Família. The people in the photo never traveled to Spain. The background came from AI. To someone viewing the image later, it could look like a real travel photo.
Smart glasses are following the same playbook
The hardware approach behind these devices looks similar across the industry.
Most smart glasses include:
- A built-in camera
- Speakers for audio feedback
- A microphone and a voice assistant
- Computer vision powered by AI
- Navigation and contextual information
- Optional displays inside the lenses
This design mirrors products like the Ray-Ban Meta Smart Glasses, which combine sunglasses with an AI assistant and camera. Those glasses already allow users to capture photos, livestream video and ask questions using voice commands. However, the editing tools currently available inside Meta’s glasses focus more on artistic effects. For example, the system can transform photos into a cartoon or painting style. The goal is creative expression rather than photorealistic manipulation. Google’s demo hints at something different. It shows how AI can place people into entirely new scenes that never happened.
INSIDE MICROSOFT’S AI CONTENT VERIFICATION PLAN
A close-up of prototype Android XR glasses with a built-in display, part of Google’s concept for AI-powered smart glasses. (X/ @backlon)
Why this matters for photography
AI-generated images already exist across social media. Smartphones have also introduced powerful editing tools. Google’s Pixel phones, for example, have leaned heavily into AI photography with tools that remove objects, adjust lighting and generate backgrounds.
The difference with smart glasses is speed. The technology removes the delay between taking a photo and editing it. Instead of capturing an image and opening editing software later, the AI can change the photo immediately. That could make altered images far more common. Photos that once served as proof of where someone was or what happened may become harder to trust.
The demo still leaves open questions
It is important to note that the Google demo was short and carefully staged. The company acknowledged that parts of the video were edited. That suggests the AI process may take longer in real-world conditions.
There is also the question of reliability. Generative AI tools sometimes produce mistakes, strange artifacts or unrealistic details. Still, even an imperfect system could change how people interact with cameras and images. As the technology improves, the gap between real and AI-generated photos may shrink.
What this means for you
Smart glasses could soon become another everyday device. That means the way we capture and share images may shift again. If these tools become common, you may start seeing photos that were generated or heavily modified by AI. A picture posted online may look like a real moment from someone’s life. In reality, it could be a mix of real people and AI-generated scenery. That does not mean every image is fake. It does mean digital images may carry less proof than they once did. Understanding how AI editing works can help you approach viral photos, travel shots or dramatic images with a healthy level of skepticism.
Ray-Ban Meta smart glasses combine cameras, speakers and an AI assistant, showing how wearable devices are bringing artificial intelligence into everyday eyewear. (Meta)
How to spot AI-generated or altered photos
AI editing tools are becoming easier to use. That means altered images may appear more often online. A few habits can help you avoid being misled.
1) Question images that look too perfect
If a photo looks unusually polished or dramatic, pause before assuming it is real. AI images often create scenes that feel cinematic or unusually clean.
2) Look closely at small details
AI systems sometimes struggle with small elements. Check hands, reflections, shadows and background objects for strange shapes or mismatched lighting.
3) Check where the image came from
If a photo spreads quickly online, try to trace the original source. Reverse image search can reveal if the picture appeared somewhere else first.
4) Be cautious with viral travel or event photos
AI tools can place people into locations they have never visited. A convincing background does not guarantee that the moment actually happened.
5) Watch for photos used in scams or misinformation
AI-generated images can appear in fake travel posts, romance scams or misleading news claims. If a photo appears alongside urgent requests for money or emotional stories, take time to verify it before reacting. Avoid clicking suspicious links and consider using strong antivirus software that can block malicious websites and scam pages before they load. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android & iOS devices at Cyberguy.com
6) Treat photos online as information, not proof
Photos once served as strong evidence of where someone was or what occurred. With generative AI, an image may be a mix of real people and computer-generated scenes.
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Kurt’s key takeaways
Smart glasses promise convenience, hands-free computing and powerful AI tools. At the same time, they blur the line between photography and digital creation. Technology keeps pushing toward a world where capturing a moment and generating one can happen in the same instant. The devices themselves may become smaller and smarter. The challenge may be deciding how much we trust the images they produce.
So here is the question worth asking. If AI glasses can create realistic photos of places you’ve never visited, will pictures still count as proof of reality? Let us know by writing to us at Cyberguy.com
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
The man behind the legendary MPC, Roger Linn, stays focused with a single browser tab
Somehow, those are not his greatest contributions to the music world. That would, undoubtedly, be the MPC. Linn partnered with Akai to create one of the most popular and important samplers ever. The MPC60 and its successors became the tool of choice for countless hip-hop and house producers. J Dilla’s MPC 3000 even sits in the Smithsonian.
Roger Linn was also an early adopter of MPE, or MIDI polyphonic expression. It’s a key feature of his LinnStrument, an expressive 3D controller released in 2014 — three years before the Association of Musical Electronics Industry (AMEI) officially released the MPE standard. Turns out the man stays so innovative by keeping things simple and focused.
What is your most indispensable tool?
My MacBook Pro.
Which is the most underappreciated?
My Vision Pro. I called it the most amazing product I rarely use.
What is the first app you install on a new phone or computer?
On a computer, Rhino3D.
What is one thing you wish you could change about your phone?
Apple Mail’s bugs.
What sites do you have pinned to your tab bar?
New York Times.
How many tabs do you have open right now?
One. This document.
Which social media platform do you use the most (if any)?
I don’t use social media except to announce my monthly “All Things LinnStrument” email newsletter.
What is your happy place online?
A VR app for the Meta Quest called Walkabout Mini Golf. It was a large number of artistically created open VR worlds that offer a surprising level of beauty from the Quest 3’s limited power. I go there to play a game of mini golf, fly around, or meet friends in a private instance of a particular world.
What is your favorite gadget you’ve ever owned?
I don’t know about “ever”, but these days it’s VR headsets, currently the Meta Quest 3 or Apple Vision Pro.
Which was the most disappointing?
In general, I’m disappointed by products that are designed by engineers who assume their customers are engineers.
What game do you have the fondest memories of?
Myst.
Which tech trend do you wish would go away?
Spam.
What creation are you most proud of?
LinnStrument.
What’s the best piece of advice you’ve ever received?
Keep it simple.
What is your current obsession?
VR.
What do you do when you need to focus?
Breathe. Calm down.
What do you do when you’re feeling stuck?
I try to shift my perspective.
When was the last time you went somewhere without your phone?
I never go anywhere without my phone. Maybe swimming.
What’s the last piece of physical media you bought?
That would be a long time ago. I’ve only bought books, music, films, etc. in digital form for a long time.
What do you think is worth splurging on?
If someone made a VR headset with retina resolution, very high power, lots of beautiful open worlds, but it was expensive, I’d probably buy it.
What would the tagline for your biopic be?
“He created tools that allowed musicians to make better music.”
What’s the last GIF or meme you used?
This isn’t a GIF, but maybe it’s a meme:
( ͡° ͜ʖ ͡°)
Technology
Robot mower flaw could open your home network
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A robot mower sounds like the kind of yard tool that should make life easier. It cuts the grass, saves you time and quietly handles a chore most people would rather avoid.
But a new independent security report raises a bigger concern about what may be happening behind the scenes. Security researcher Andreas Makris says Yarbo robots, which include autonomous lawn mowers and snow blowers, contained serious flaws that could expose owners to remote access, live camera viewing and Wi-Fi credential theft. The report says roughly 6,000 robots are currently affected.
Yarbo has since responded through its Security Center, saying the core technical findings are accurate and that it has started rolling out security fixes. Still, the report raises important questions about how much access smart yard devices should have inside your home network.
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SMART HOME HACKING FEARS: WHAT’S REAL AND WHAT’S HYPE
A robot mower connected to home Wi-Fi can create security risks if remote access controls are weak or unclear. (Yarbo)
Yarbo robot security risk: What the report claims
Makris says Yarbo robots ship with a persistent remote access setup that uses a tunnel to reach the robot over the internet. According to the report, the robots also include a hardcoded root password shared across the fleet and a remote connection method tied to the robot’s serial number. That is important because “root” access gives someone deep control over the device. In simple terms, it can mean administrator-level access to the system inside the robot. The report also says the remote tunnel runs automatically, can restart itself if stopped and may return if removed. That raises a major concern for owners because they may not have a simple switch in the app to shut it off.
Why a robot mower could put your home network at risk
Smart devices often need internet access to work. App controls, software updates, diagnostics and support all depend on that connection. However, Makris claims Yarbo’s setup creates a much riskier situation. He says remote access appears to be built into every robot, rather than turned on only when an owner asks for help. The report says an attacker with the right information could potentially reach a robot remotely, access internal functions and use it as a foothold on the owner’s network. So while a robot mower may seem harmless as it cuts grass, rolls through the yard or parks near the garage, that same machine can also connect to your Wi-Fi, carry cameras and sit close to your home every day.
5 WORRISOME PRIVACY CLAUSES HIDDEN IN SMART HOME DEVICES
The Yarbo report raises concerns about remote access, live camera feeds and saved Wi-Fi credentials on connected yard robots. (Yarbo)
Yarbo camera access concerns for homeowners
According to the report, Yarbo robots can have multiple camera feeds. Makris says that if someone gained root access through the remote tunnel, they could potentially view the robot’s surroundings remotely. That could include a driveway, backyard, entryway, garage area or outdoor space where your family spends time. For homeowners, this concern goes beyond a glitch. A camera-equipped device outside your home deserves the same scrutiny as a camera inside your home.
How saved Wi-Fi passwords could be exposed
The report also says an attacker with root access could retrieve saved Wi-Fi credentials from the robot’s system. That would be a serious issue because many homes use one main Wi-Fi network for phones, laptops, tablets, smart TVs, security devices and more. Once someone has your Wi-Fi password, the risk can spread. They may try to reach other connected devices or look for weak spots that were never meant to face the internet. This is why connected outdoor equipment should never get a free pass. A lawn robot may be housed outside or in the garage, but its network access can reach inside.
What Yarbo says now
After Makris published his report, Yarbo posted a response to its Security Center page on its website. The company said the report identified serious vulnerabilities in its remote diagnostic, credential management and data-handling systems. Yarbo co-founder Kenneth Kohlmann also said the “core technical findings are accurate” and acknowledged that the company’s initial response did not reflect the seriousness of the issues.
Yarbo says the problems primarily involved historical design choices in parts of its remote diagnostic, access management and data-handling systems. The company also said some legacy support tools did not give users enough visibility or control. Yarbo said some authentication and credential systems did not meet its current security expectations.
A NEW SECURITY SEAL OF APPROVAL IS COMING TO YOUR SMART HOME GADGETS
Security experts recommend keeping smart yard devices on a guest network instead of your main home Wi-Fi. (Yarbo)
What Yarbo says it has fixed
Yarbo says it has taken several remediation steps since the report was published. According to the company, it has retired historical fleet-level root credentials, revoked shared FRP remote-access credentials and disabled related FRP server-side connection paths.
The company also says updated versions of the Yarbo mobile app no longer contain static credentials or embedded access mechanisms capable of directly authenticating against backend services. Yarbo says it has removed reporting scripts, legacy dependencies and non-essential network configurations that no longer served a necessary product function.
However, Yarbo says more work remains. The company says it is rebuilding its credential management system so any remaining shared-credential models can be replaced with individually scoped, per-device credentials. Each credential would support independent rotation and revocation.
Why Yarbo data connections raise privacy questions
The report also points to connections involving Hanyangtech, Yarbo’s Shenzhen-based parent company, along with ByteDance Feishu, Tencent TDMQ and Chinese DNS resolvers. Makris says some robot telemetry can be sent to ByteDance’s Feishu platform and that certain infrastructure choices are built into the firmware.
Yarbo now says it has removed reporting scripts, legacy dependencies and non-essential network configurations that no longer served a necessary operational or product function. The company also says historical servers and legacy access channels will continue to be phased out as part of its remediation work.
The core issue is transparency. Owners should know where their devices send data, which companies can access it and whether those connections are essential for normal use. That level of clarity matters even more for devices with cameras, location data and access to home networks.
What this means for you
If you own a Yarbo robot, this report means you should treat it like any other connected device with cameras, location data and access to your home Wi-Fi. Yarbo says it is pushing security updates automatically to connected devices. That means owners should connect their Yarbo long enough to receive the latest security update. After that, consider moving it back to a guest network or an isolated smart-device network.
CyberGuy reached out to Yarbo, and a representative said the company encouraged readers to refer to the Security Center at yarbo.com/pages/yarbo-security-center for the latest verified information and ongoing updates.
How Yarbo owners can reduce the risk
You may not be able to control everything happening inside the robot, but you can take a few practical steps to limit what it can reach on your home network.
1) Put the robot on a guest network
Do not keep your robot mower on the same network as your laptop, phone or security cameras. Use a guest network or a separate smart-device network if your router supports it.
2) Change your main Wi-Fi password if you are concerned
If your robot has connected to your main Wi-Fi and you are worried about exposure, change the Wi-Fi password. Use a strong, unique password and store it in a trusted password manager so you do not have to reuse or remember it. Then reconnect only trusted devices. Check out the best expert-reviewed password managers of 2026 at Cyberguy.com
3) Check your router for unknown devices
Open your router app or admin page and review connected devices. Look for anything unfamiliar. Remove devices you do not recognize.
4) Limit what the robot can access
Some routers let you isolate guest devices. Turn that on when available. This can keep the robot from seeing other devices on your network.
5) Ask Yarbo for specific answers
Owners should ask what remote diagnostic access remains, whether credentials are now unique per robot and whether the company will provide a true off switch for remote diagnostics.
6) Keep the robot updated, but stay cautious
Yarbo says security updates are delivered automatically once devices connect to the internet. Connect the robot through a guest network or an isolated smart-device network so it can receive the latest update without giving it access to your main devices.
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Kurt’s key takeaways
The Yarbo report is a reminder that convenience can come with hidden access. A robot mower may seem like a helpful yard tool, but under the hood, it can act like a connected computer with cameras, location data and a path into your network. The biggest concern is control. Owners need to know who can reach their devices, when remote access turns on and whether they can shut it off. A company should not expect you to trust a black box sitting on your Wi-Fi. If you own one of these robots, isolate it from your main network and push Yarbo for clear answers. If you are shopping for any smart yard device, ask about security before you ask about battery life.
Would you let a smart yard robot onto your Wi-Fi if the company could not clearly explain who can access it and when? Let us know by writing to us at Cyberguy.com
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
Google’s AI search is so broken it can ‘disregard’ what you’re looking for
Google’s AI Overviews are running into an interesting problem right now. Earlier on Friday, if you searched for the term “disregard,” the AI Overview section would include a response like what you’d see from a more traditional AI chatbot instead of the typical AI summary, as spotted on X. As you can see in the image at the top of this story, I got an AI Overview response that said, “Got it. If you need anything else or have a new question later, just let me know!”
As of Friday afternoon, however, Google isn’t showing an AI Overview for the term “disregard” at all — instead, it shows a list of news stories about the issue first. Google hasn’t replied to our requests for comment. In a statement to Android Authority, a spokesperson said that “We’re aware that AI Overviews are misinterpreting some action-related queries, and we’re working on a fix, which will roll out soon.”
AI Overviews haven’t just been tripping up over the word “disregard.” When searching for “ignore,” Google’s AI Overview section showed the following message to a Verge colleague:
Message received! I’m here and ready to help. What would you like to focus on today? Just let me know if there’s a specific topic, task, or question you’d like to explore.
When they searched “skip,” the AI Overview section said:
It looks like your message was just a test or a typo! Feel free to ask a question, share a prompt, or let me know how I can help you with your tasks today. I’m ready whenever you are!
As of Friday afternoon, Google is still showing me AI Overviews with broken responses when I search for “ignore” and “skip.”
As funny as this all is, it’s almost certainly just some kind of bug — I expect Google will fix it soon enough. Maybe Google Search itself is tired after everything that happened at Google I/O.
Updates, May 22nd: Google now isn’t showing AI Overviews for “disregard.” Also added a Google statement.
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