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Amazon adds controversial AI facial recognition to Ring

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Amazon adds controversial AI facial recognition to Ring

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Amazon’s Ring video doorbells are getting a major artificial intelligence (AI) upgrade, and it is already stirring controversy.

The company has started rolling out a new feature called Familiar Faces to Ring owners across the United States. Once enabled, the feature uses AI-powered facial recognition to identify people who regularly appear at your door. Instead of a generic alert saying a person is at your door, you might see something far more personal, like “Mom at Front Door.” On the surface, that sounds convenient.

Privacy advocates, however, say this shift comes with real risks.

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Ring’s new Familiar Faces feature uses AI facial recognition to identify people who regularly appear at your door and personalize alerts. (Chip Somodevilla/Getty Images)

How Ring’s Familiar Faces feature works

Ring says Familiar Faces helps you manage alerts by recognizing people you know. Here is how it works in practice. You can create a catalog of up to 50 faces. These may include family members, friends, neighbors, delivery drivers, household staff or other frequent visitors. After labeling a face in the Ring app, the camera will recognize that person as they approach. Anyone who regularly passes in front of your Ring camera can be labeled by the device owner if they choose to do so, even if that person is unaware they are being identified.

From there, Ring sends personalized notifications tied to that face. You can also fine-tune alerts on a per-face basis, which means fewer pings for your own comings and goings. Importantly, the feature is not enabled by default. You must turn it on manually in the Ring app settings. Faces can be named directly from Event History or from the Familiar Faces library. You can edit names, merge duplicates or delete faces at any time.

Amazon says unnamed faces are automatically removed after 30 days. Once a face is labeled, however, that data remains stored until the user deletes it.

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Why privacy groups are pushing back

Despite Amazon’s assurances, consumer protection groups and lawmakers are raising alarms. Ring has a long history of working with law enforcement. In the past, police and fire departments were able to request footage through the Ring Neighbors app. More recently, Amazon partnered with Flock, a company that makes AI-powered surveillance cameras widely used by police and federal agencies. Ring has also struggled with internal security. In 2023, the FTC fined Ring $5.8 million after finding that employees and contractors had unrestricted access to customer videos for years. The Neighbors app previously exposed precise home locations, and Ring account credentials have repeatedly surfaced online. Because of these issues, critics argue that adding facial recognition expands the risk rather than reducing it.

Electronic Frontier Foundation (EFF) staff attorney Mario Trujillo tells CyberGuy, “When you step in front of one of these cameras, your faceprint is taken and stored on Amazon’s servers, whether you consent or not. Today’s feature to recognize your friend at your front door can easily be repurposed tomorrow for mass surveillance. It is important for state regulators to investigate.” The Electronic Frontier Foundation is a well-known nonprofit organization that focuses on digital privacy, civil liberties and consumer rights in the tech space. 

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Once a face is labeled by the device owner, Ring can replace generic notifications with named alerts tied to that individual. (CyberGuy.com)

Where the feature is blocked and why that matters

Legal pressure is already limiting where Familiar Faces can launch. According to the EFF, privacy laws are preventing Amazon from offering the feature in Illinois, Texas and Portland, Oregon. These jurisdictions have stricter biometric privacy protections, which suggests regulators see facial recognition in the home as a higher-risk technology. U.S. Senator Ed Markey has also called on Amazon to abandon the feature altogether, citing concerns about surveillance creep and biometric data misuse.

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Amazon says biometric data is processed in the cloud and not used to train AI models. The company also claims it cannot identify all locations where a face appears, even if law enforcement asks. Still, critics point out the similarity to Ring’s Search Party feature, which already scans neighborhoods to locate lost pets.

We reached out to Amazon for comment but did not receive a response before our deadline.

Ring’s other AI feature feels very different

Not all of Ring’s AI updates raise the same level of concern. Ring recently introduced Video Descriptions, a generative AI feature that summarizes motion activity in plain text. Instead of guessing what triggered an alert, you might see messages like “A person is walking up the steps with a black dog” or “Two people are peering into a white car in the driveway.”

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Ring’s Video Descriptions feature takes a different approach by summarizing activity without identifying people by name. (Amazon)

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How Video Descriptions decides what matters

This AI focuses on actions rather than identities. It helps you quickly decide whether an alert is urgent or routine. Over time, Ring says the system can recognize activity patterns around a home and only notify you when something unusual happens. However, as with any AI system, accuracy can vary depending on lighting, camera angle, distance and environmental conditions. Video Descriptions is currently rolling out in beta to Ring Home Premium subscribers in the U.S. and Canada. Unlike facial recognition, this feature improves clarity without naming or tracking specific people. That contrast matters.

Video Descriptions turns motion alerts into short summaries, helping you understand what is happening without identifying who is involved. (Amazon)

Should you turn Familiar Faces on?

If you own a Ring doorbell, caution is wise. While Familiar Faces may reduce notification fatigue, labeling people by name creates a detailed record of who comes to your home and when. Given Ring’s past security lapses and close ties with law enforcement, many privacy experts recommend keeping the feature disabled. If you do use it, avoid full names and remove faces you no longer need. In many cases, simply checking the live video feed is safer than relying on AI labels. Not every smart home feature needs to know who someone is.

How to turn Familiar Faces on or off in the Ring app

If you want to review or change this setting, you can do so at any time in the Ring mobile app.

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To enable Familiar Faces:

  • Open the Ring app
  • Tap the menu icon
  • Select Control Center
  • Tap Video and Snapshot Capture
  • Select Familiar Faces
  • Toggle the feature on and follow the on-screen prompts

To turn Familiar Faces off:

  • Open the Ring app
  • Go to Control Center
  • Tap Video and Snapshot Capture
  • Select Familiar Faces
  • Toggle the feature off

Turning the feature off stops facial recognition and prevents new faces from being identified. Any labeled faces can also be deleted manually from the Familiar Faces library if you want to remove stored data.

Alexa is now answering your door for you

Amazon is also rolling out a very different kind of AI feature for Ring doorbells, and it lives inside Alexa+. Called Greetings, this update gives Ring doorbells a conversational AI voice that can interact with people at your door when you are busy or not home. Instead of identifying who someone is, Greetings focuses on what they appear to be doing. Using Ring’s video descriptions, the system looks at apparel, actions, and objects to decide how to respond. 

For example, if someone in a delivery uniform drops off a package, Alexa can tell them exactly where to leave it based on your instructions. You can even set preferences to guide delivery drivers toward a specific spot, or let them know water or snacks are available. If a delivery requires a signature, Alexa can ask the driver when they plan to return and pass that message along to you. The feature can also handle sales representatives or service vendors. You might set a rule such as politely declining sales pitches without ever coming to the door yourself.

Greetings can also work for friends and family. If someone stops by while you are away, Alexa can greet them and ask them to leave a message for you. That interaction is saved so you can review it later. That said, the system is not perfect. Because it relies on visual context rather than identity, mistakes can happen. A friend who works in logistics could show up wearing a delivery uniform and be treated like a courier instead of being invited to leave a message. Amazon acknowledges that accuracy can vary. Importantly, Amazon says Greetings does not identify who a person is. It uses Ring’s video descriptions to determine the main subject in front of the camera and generate responses, without naming or recognizing individuals. That makes it fundamentally different from the Familiar Faces feature, even though both rely on AI.

Greetings is compatible with Ring Wired Doorbell Pro (3rd Gen) and Ring Wired Doorbell Plus (2nd Gen). It is available to Ring Premium Plan subscribers who have video descriptions enabled and is currently rolling out to Alexa+ Early Access users in the United States and Canada.

Thinking about a Ring doorbell?

If you are already in the Ring ecosystem or considering a video doorbell, Ring’s lineup includes models with motion alerts, HD video, night vision, and optional AI-powered features such as Video Descriptions. While Familiar Faces remains controversial and can be turned off, many homeowners still use Ring doorbells for basic security awareness and package monitoring. 

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If you decide Ring is right for your home, you can check out the latest Ring Video Doorbell models or compare features and pricing with other options by visiting Cyberguy.com and searching “Top Video Doorbells.”

Take my quiz: How safe is your online security?

Think your devices and data are truly protected? Take this quick quiz to see where your digital habits stand. From passwords to Wi-Fi settings, you’ll get a personalized breakdown of what you’re doing right and what needs improvement. Take my Quiz here: Cyberguy.com.

Kurt’s key takeaways

Amazon Ring’s AI facial recognition feature shows how quickly convenience can collide with privacy. Familiar Faces may offer smarter alerts, but it also expands surveillance into deeply personal spaces. Meanwhile, features like Video Descriptions prove that AI can be useful without identifying people. As smart home tech evolves, the real question is not what AI can do but what it should do.

Would you trade fewer notifications for a system that recognizes and names everyone who comes to your door? Let us know by writing to us at Cyberguy.com.

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Copyright 2025 CyberGuy.com. All rights reserved.

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Jury finds Elon Musk’s ‘stupid tweets’ caused Twitter investors’ losses

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Jury finds Elon Musk’s ‘stupid tweets’ caused Twitter investors’ losses

A California jury determined that Elon Musk misled Twitter investors before making a $44 billion deal to buy the company in 2022, reports CNBC. The New York Times reports that Musk had testified this month that he didn’t believe his posts would spook markets, but he did say that “If this was a trial about whether I made stupid tweets, I would say I’m guilty.”

CNBC reports Musk’s attorneys are expected to file an appeal, as damages could reach as high as $2.6 billion, according to attorneys representing the plaintiffs.

While finding that Musk did not engage in a specific scheme to defraud shareholders, the jury cited two of Musk’s tweets, from May 13th and May 27th, 2022, as materially false or misleading, causing some investors to sell shares in Twitter at values below the $54.20 per share bid.

Twitter deal temporarily on hold pending details supporting calculation that spam/fake accounts do indeed represent less than 5% of users

20% fake/spam accounts, while 4 times what Twitter claims, could be *much* higher.

My offer was based on Twitter’s SEC filings being accurate.

Yesterday, Twitter’s CEO publicly refused to show proof of

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This deal cannot move forward until he does.

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AI smart glasses could generate fake photos instantly

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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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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.

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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.

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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.

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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.

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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.

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Microsoft is ending the Windows Update nightmare — and letting you pause them indefinitely

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Microsoft is ending the Windows Update nightmare — and letting you pause them indefinitely

While Microsoft isn’t doing away with automatic updates entirely, Windows boss Pavan Davuluri is promising that in future, you’ll be able to pause them “for as long as you need.” You’ll be able to reboot or shut down your computer “without being forced to install them.” To be fair to Microsoft, I’ve seen an option to reboot or shutdown without updating for a while now.

Even if you fail to pause them, you’ll only have to reboot your computer once a month, Microsoft promises — though its says you’ll be able to get updates faster if you wish. If you’re the kind of user who wants new features so quickly that you’re part of the Windows Insider Program, Microsoft says it’ll make that easier and make it clearer what you’ll get.

And as part of those updates, Microsoft says that this year, it will improve performance, responsiveness and stability, reduce memory consumption, make File Explorer and other apps launch and run faster, reduce crashes, improve drivers, make devices wake up more reliably, and much, much more.

It feels like Microsoft has also taken our feedback about the recent ridiculous hour-plus setup process for some Windows handhelds and laptops to heart. Davuluri writes that we’ll have “the ability to skip updates during device setup to get to the desktop faster.” And even if you sit through, there should be “fewer pages and reboots to getting started is simpler.” Plus, Microsoft will finally let you use gamepad controls to create your PIN during setup, instead of making you smudge the touchscreen.

Bravo, Microsoft, if this is all true, and if you can implement it in a reasonable length of time.

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Davuluri writes that his team has spent months analyzing the feedback of Windows users, and “What came through was the voice of people who care deeply about Windows and want it to be better.”

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