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Who's really behind that random strange text from nowhere?

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Who's really behind that random strange text from nowhere?

These days, our phones are constantly buzzing with notifications, and it’s becoming increasingly difficult to distinguish between legitimate messages and potential scams. Bill from Mesa, Arizona, recently shared an experience that highlights this growing concern:

“Twice in the last week I’ve received texts supposedly sent elsewhere. The last one asked if I was ‘available tomorrow evening.’ I did not recognize the number but am active in an old people park so receive many calls and texts from unfamiliar numbers. I texted back that my wife thought we were available. A few minutes later, a text came asking if I was Mrs. Amy. I texted that I wasn’t Mrs. Amy and had never been, but it was a problem. 

“A return text came thanking me for being so polite and the texter’s appreciation for polite people and if I were ever in LA, I would be welcome to a backyard BBQ. Looking back, there were a couple more texts ending with ‘I like to make friends with polite people.’ The first text which I deleted was in a very similar vein and format. Is this a scam and why, for what?”

Bill’s experience is not unique. Many people receive similar messages that seem harmless at first glance but could potentially be part of a more sinister scheme. Let’s dive into the world of text message scams and learn how to protect ourselves.

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A man texting on his phone  (Kurt “CyberGuy” Knutsson)

The anatomy of a text message scam

Text message scams, also known as “smishing,” a combination of SMS and phishing, have become increasingly sophisticated. Scammers use various tactics to engage potential victims and gain their trust. Here are some common elements:

Unfamiliar numbers: The message comes from a number you don’t recognize. For instance, you receive a text from +1-555-123-4567, a number not in your contacts.

Unsolicited contact: The text arrives unexpectedly, often with a friendly or urgent tone. Example: “Hey! Long time no see. How have you been?”

Personal touch: The scammer might use your name or reference a common activity to seem legitimate. Example: “Hi Sarah, it’s Mike from the book club. Are you coming to the meeting next week?”

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Too good to be true: Offers of prizes, invitations, or other enticing propositions are common. Example: “Congratulations! You’ve won a $500 gift card. Click here to claim your prize!”

Requests for information: The scammer may ask for personal details, either directly or indirectly. Example: “This is your bank. We need to verify your account. Please reply with your account number and PIN.”

Remember, these are all examples of potential scams. Always be cautious when receiving unexpected messages, especially those asking for personal information or containing suspicious links.

A person texting on a phone  (Kurt “CyberGuy” Knutsson)

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Understanding the scammer’s strategy

In Bill’s case, the scammer employed a “long-play” strategy. By engaging in friendly conversation and offering invitations, the scammer aims to build trust over time. The end goal could be:

Phishing for information: Gradually collecting personal details that can be used for identity theft.

Malware distribution: Eventually sending a link that, when clicked, installs malicious software on your device.

Financial scams: Building trust to eventually request money or financial information.

A person texting on a phone  (Kurt “CyberGuy” Knutsson)

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How to identify suspicious texts

To protect yourself from text message scams, follow these steps:

  • Check the sender: Look at the full email address or phone number, not just the display name.
  • Analyze the content: Be wary of messages with urgent subjects, grammatical errors, or strange URLs.
  • Verify independently: If the message claims to be from a known entity, contact them through official channels to confirm.
  • Trust your instincts: If something feels off, it probably is. Don’t let politeness override your judgment.

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A man texting on his phone  (Kurt “CyberGuy” Knutsson)

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What to do if you suspect a scam

If you believe you’ve received a scam text, here are six steps to follow:

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1. Don’t respond: Avoid engaging with the scammer to prevent further attempts.

2. Block the number: Use your phone’s built-in blocking features to prevent further contact.

  • For iPhone: Open the message, tap the sender’s name or number, select “Info,” then “Block Caller.”
  • For Android: Open the message, long-press the conversation, tap the three-dot menu and select “Block” or “Block & Report Spam.” You may be asked to confirm your decision by clicking Yes. Settings may vary depending on your Android phone’s manufacturer. 

3. Report the message: Forward the suspicious text to 7726 (SPAM). Also, report it directly to the FTC at ReportFraud.ftc.gov.

4. Keep your information safe: Never click on links or provide personal information in response to unsolicited texts.

5. Have strong antivirus software: Install and run strong antivirus apps on your phone to scan for malware and ensure your device is secure. The best way to safeguard yourself from malicious links that install malware, potentially accessing your private information, is to have antivirus software installed on all your devices. This protection can also alert you to phishing emails and ransomware scams, keeping your personal information and digital assets safe. Get my picks for the best 2025 antivirus protection winners for your Windows, Mac, Android and iOS devices.

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6. Invest in personal data removal services: Consider using a data removal service to eliminate your personal information from data broker sites. These services can help reduce spam, decrease the risk of identity theft and clean up your online presence by automating the removal of your data from hundreds of data broker sites.

While no service promises to remove all your data from the internet, having a removal service is great if you want to constantly monitor and automate the process of removing your information from hundreds of sites continuously over a longer period of time. Check out my top picks for data removal services here. 

Kurt’s key takeaways

While it’s natural to want to be polite, as Bill was, remember that your safety and personal information are paramount. Trust your instincts, verify unfamiliar contacts and never hesitate to ignore or block suspicious messages. Remember, a true friend won’t mind if you take extra steps to verify their identity, and a legitimate organization will have official channels for communication.

How have you or someone you know been affected by text message scams, and what steps did you take to protect yourself? Let us know by writing us at Cyberguy.com/Contact

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Technology

Nintendo turned its biggest flop into an expensive, uncomfortable novelty

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Nintendo turned its biggest flop into an expensive, uncomfortable novelty

I’ve written about a lot of different video game hardware over the years, from new consoles to retro gadgets to whatever you want to call the Playdate. But I can’t remember ever being perpetually sore from testing a device; such are the joys of the Virtual Boy. Nintendo has turned its biggest flop into an accessory for the Switch, but the costs involved — to your wallet, eyes, and neck — make it a tough sell. Much like the original, this is a novelty for Nintendo sickos only.

First released in 1995, the original Virtual Boy looked like a VR headset but wasn’t actually VR or a headset. Instead, the console offered stereoscopic 3D games that you viewed through a pair of bulky goggles that were propped up on a stand. It also rendered games in eye-searing red and black, making for an experience that had some potential but was ultimately ugly and uncomfortable. It was a flop and was discontinued after just a year, amassing a library of less than two dozen games.

Now Nintendo has brought that same experience to the Switch. Virtual Boy games have been added to the Nintendo Classics collection of retro games available to Switch Online subscribers this week, but the twist is, because of the unique nature of the original hardware, you need to buy an accessory to actually play them. There’s a plastic re-creation of the Virtual Boy that’ll run you $100, which is what I’ve been using, as well as a cheaper cardboard headset that’s a much more reasonable $25. Either way, you’ll need both a subscription and an accessory to play these games.

Technically the games will run in portable mode without one of the accessories connected, but without the magnifying goggles, they’re displayed so small that they’re essentially unplayable. It looks something like this:

Can you tell what Virtual Boy game I’m playing here?
Image: Nintendo
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The plastic Virtual Boy looks like the original hardware, complete with a fake controller port and volume dial. But really it’s an elaborate Switch (or Switch 2) case that turns it into something resembling a Virtual Boy. It works like this: The top of the Virtual Boy opens up, letting you slot in a Switch, sans Joy-Con controllers, inside. When you close it up, the Switch becomes the console powering the Virtual Boy-like experience. Look through the goggles, and you’re awash in pixelated reds and blacks (though other colors will be available post-launch).

Since you don’t wear it strapped to your face, the Virtual Boy doesn’t have the same problems as a typical VR headset, where you’re supporting a bunch of weight on your head. But it’s still far from comfortable in my experience. The stand is adjustable so you can change the angle of the goggles, but I had a hard time finding an optimal viewing angle, despite trying to play it lots of different ways. And man, those red graphics; they were hard to look at in the ’90s, and things haven’t improved much. The Virtual Boy is a system where you need to take frequent breaks to save your eyes and neck. Don’t make the same mistakes I did.

All that said, the Virtual Boy’s lineup is surprisingly interesting to play in 2026. There are seven titles available at launch, and while there are a few duds — I just can’t seem to wrap my head around the first-person robot fighter Teleroboxer — I’ve really been enjoying playing 3D Tetris, Galactic Pinball, and the space shooter Red Alarm. The standout might be Wario Land, a fairly straightforward and occasionally clunky platformer but with 3D elements like enemies that jump out right in front of you, making things feel more tense. It’s not a huge lineup by any stretch, but it gives you a good sense of what the Virtual Boy is all about. Which is to say, there are some solid games with neat 3D gimmicks that are fun in short doses. (Why the tentpole Mario’s Tennis isn’t available at launch, especially given the recent release of Mario Tennis Fever, is a mystery to me.)

Nintendo tends to have a complicated relationship with its own history, often glossing over its failures and doing a poor job of celebrating what makes its games so important. So on one hand, the existence of this Virtual Boy seems like something of a miracle. Few people had a chance to play the original, and here it is available through Nintendo’s most successful platform ever. But it’s also a product that requires jumping through a lot of hoops for a small amount of payoff. And since it’s tied to NSO, you’re spending $100 to play games only for as long as you have a subscription or the service is active. After that, you have a costly paperweight.

The Switch version of the Virtual Boy is a device that’s weird, awkward, and of limited appeal — which, now that I think about it, perfectly re-creates the experience of the original.

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AI home search could change how you buy a house

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AI home search could change how you buy a house

NEWYou can now listen to Fox News articles!

If you have ever searched for a home online, you know the routine. Set a price range. Click a few filters. Run the search. Start over. Again and again.

Now imagine skipping all of that and simply saying, “I want a home near good schools with high ceilings, a short commute and a kitchen that feels modern.” Then the platform responds like it already understands what matters most to you. Well, that future tech is here.

Homes.com, powered by Microsoft Azure OpenAI, has launched Homes AI, a fully integrated conversational home search experience. Instead of clicking through a bunch of filters, you talk or type your way to the right home. And this is more than just a new feature. It could completely change how people search for and ultimately buy houses.

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Instead of guessing which filters to use, buyers can ask detailed questions about schools, commute times or neighborhood trends and get instant answers in one place. (David Cooper/Toronto Star via Getty Images)

Why AI home search fixes the old filter problem

For years, homebuyers had to search like they were programming a database. That meant checking boxes, toggling filters and running multiple searches just to piece together what they actually wanted.

“Searching for a home previously forced prospective buyers to think like a database — checking boxes, toggling filters and manually running multiple searches to piece together what they wanted,” Livia Sponseller, head of Homes.com Product at CoStar Group, told CyberGuy. “We understand that isn’t how people best operate, so conversational search removes the silos of data so that all information, whether it’s about neighborhood average home prices, schools or in-depth details about a specific home, allows buyers to easily and simply describe what they’re looking for in their own words.”

That line hits home. No one dreams about toggling filters. People dream about backyards, school districts and a kitchen where everyone gathers. With Homes AI, you can describe what matters to you in plain language. The system pulls from deep property data, 3D Matterport tours, neighborhood insights and proprietary school data to guide you.

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“Direct conversations with our AI guide, Homes AI, capture nuances in buyer preferences that traditional filters do not,” Sponseller added. “These nuances are ultimately what lead a buyer to choose the right home for them, making it feel less like browsing listings and more like truly experiencing the home.”

In other words, this moves home search from mechanical to meaningful.

Why AI home search works right now

AI assistants are already part of everyday life. Millions of people already talk to generative AI tools every week. That comfort level matters. As Sponseller explained, “People have become very accustomed to interacting with AI assistants like ChatGPT. Hundreds of millions of people are using its generative AI tools each week, so people are beginning to tap into the power of these generative pre-trained transformers (GPT) and large language models (LLMs). The experience we built for Homes.com represents the natural next step — seamlessly integrating advanced AI into the existing site infrastructure and shifting the heavy lifting of filtering and refining search results from the homebuyer to the technology itself.”

That shift is huge. The burden moves from you to technology. Instead of refining results manually, the AI refines them for you in real time. And it does so inside the Homes.com ecosystem. Your data stays within the platform and is not used to train external models.

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Instead of guessing which filters to use, buyers can ask detailed questions about schools, commute times or neighborhood trends and get instant answers in one place. (Homes.com)

What surprises buyers about AI home search

The first time someone uses conversational artificial intelligence for home search, the biggest surprise may be how human it feels. Sponseller said, “I think users will be genuinely surprised by how closely it mirrors the experience of working with the most knowledgeable agent. Whether you’re looking for comparable sales, average home values in an area or the lifestyle of a specific neighborhood, buyers can ask virtually any home-related question and get an answer immediately, as opposed to referring to multiple sites for all that information.”

Instead of hopping between tabs, you stay in one seamless experience. You can ask about commute times, neighborhood trends or interior details without starting over. She also pointed out, “Homes AI is a transparent, fast, data-rich and ad-free tool, elevating the experience for consumers to another level.” That ad-free part matters. It keeps the focus on your goals, not on who paid for placement.

As the system learns your preferences, it refines recommendations over time, helping you narrow choices with more clarity and confidence. (Homes.com)

What AI home search means for the future of real estate

Sponseller believes this goes beyond one platform: “This is bigger than real estate. It’s only a matter of time until we see conversational experiences extend across industries, not just real estate portals. Why leave the heavy lifting to the searcher-consumer if ultimately this simplifies the process? Homes.com is simply the first to fully integrate this approach at scale, but I think it’s safe to say that shopping experiences across the board are entering a new era.”

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And when we look back? “We have full confidence that people will look back at the current state of portals and have a laugh at how clunky, manual, and fragmented the process felt.”

She added, “The housing market has evolved to a point where applying filters and needing to run multiple consecutive searches to capture all the filters will feel as outdated as flipping through the Yellow Pages.” That comparison says it all.

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What this means for you

If you are thinking about buying a home in the next few years, this could make the process feel a lot less stressful. Instead of endlessly scrolling and tweaking filters, you can simply explain what matters to you. The system does the sorting. It narrows the list based on your real priorities, not just basic checkboxes. That means you may tour fewer homes that miss the mark. You could spot red flags earlier. You might even feel more prepared before you ever walk through the front door. In a market where every decision counts, having clearer information upfront can make a real difference.

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Kurt’s key takeaways

Buying a home is a big deal. It is emotional. It is expensive. And it can feel overwhelming fast. For years, online search tools helped, but they also made you do most of the work. You had to adjust filters, rerun searches and keep track of what mattered. AI home search changes that dynamic. You explain what you want. The technology handles the sorting. Over time, it even remembers your priorities. That could mean fewer wasted showings. Fewer surprises. More confidence before you ever step inside a house.

If this is where home search is headed, will you trust a system that learns your preferences, or will you still want full control of every filter yourself? 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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The executive that helped build Meta’s ad machine is trying to expose it

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The executive that helped build Meta’s ad machine is trying to expose it

Brian Boland spent more than a decade figuring out how to build a system that would make Meta money. On Thursday, he told a California jury it incentivized drawing more and more users, including teens, onto Facebook and Instagram — despite the risks.

Boland’s testimony came a day after Meta CEO Mark Zuckerberg took the stand in a case over whether Meta and YouTube are liable for allegedly harming a young woman’s mental health. Zuckerberg framed Meta’s mission as balancing safety with free expression, not revenue. Boland’s role was to counter this by explaining how Meta makes money, and how that shaped its platforms’ design. Boland testified that Zuckerberg fostered a culture that prioritized growth and profit over users’ wellbeing from the top down. He said he’s been described as a whistleblower — a term Meta has broadly sought to limit for fear it would prejudice the jury, but which the judge has generally allowed. Over his 11 years at Meta, Boland said he went from having “deep blind faith” in the company to coming to the “firm belief that competition and power and growth were the things that Mark Zuckerberg cared about most.”

Boland last served as Meta’s VP of partnerships before leaving in 2020, working to bring content to the platform that it could monetize, and previously worked in a variety of advertising roles beginning in 2009. He testified that Facebook’s infamous early slogan of “move fast and break things” represented “a cultural ethos at the company.” He said the idea behind the motto was generally, “don’t really think about what could go wrong with a product, but just get it out there and learn and see.” At the height of its prominence internally, employees would sit down at their desks to see a piece of paper that said, “what will you break today?” Boland testified.

“The priorities were on winning growth and engagement”

Zuckerberg consistently made his priorities for the company abundantly clear, according to Boland. He’d announce them in all hands meetings and leave no shadow of a doubt what the company should be focused on, whether it was building its products to be mobile-first, or getting ahead of the competition. When Zuckerberg realized that then-Facebook had to get into shape to compete with a rumored Google social network competitor (which he didn’t name, but seemed to refer to Google+), Boland recalled a digital countdown clock in the office that symbolized how much time they had left to achieve their goals during what the company called a “lockdown.” During his time at the company, Boland testified, there was never a lockdown around user safety, and Zuckerberg allegedly instilled in engineers that “the priorities were on winning growth and engagement.”

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Meta has repeatedly denied that it tries to maximize users’ engagement on its platforms over safeguarding their wellbeing. In the past weeks, both Zuckerberg and Instagram CEO Adam Mosseri testified that building platforms that users enjoy and feel good on is in their long-term interest, and that’s what drives their decisions.

Boland disputes this. “My experience was that when there were opportunities to really try to understand what the products might be doing harmfully in the world, that those were not the priority,” he testified. “Those were more of a problem than an opportunity to fix.”

When safety issues came up through press reports or regulatory questions, Boland said, “the primary response was to figure out how to manage through the press cycle, to what the media was saying, as opposed to saying, ‘let’s take a step back and really deeply understand.” Though Boland said he told his advertising-focused team that they should be the ones to discover “broken parts,” rather than those outside the company, he said that philosophy didn’t extend to the rest of the company.

On the stand the day before, Zuckerberg pointed to documents around 2019 showing disagreement among his employees with his decisions, saying they demonstrated a culture that encourages a diversity of opinion. Boland, however, testified that while that might have been the case earlier in his tenure, it later became “a very closed down culture.”

“There’s not a moral algorithm, that’s not a thing … Doesn’t eat, doesn’t sleep, doesn’t care”

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Since the jury can only consider decisions and products that Meta itself made, rather than content it hosted from users, lead plaintiff attorney Mark Lanier also had Boland describe how Meta’s algorithm works, and the decisions that went into making and testing it. Algorithms have an “immense amount of power,” Boland said, and are “absolutely relentless” in pursuing their programmed goals — in many cases at Meta, that was allegedly engagement. “There’s not a moral algorithm, that’s not a thing,” Boland said. “Doesn’t eat, doesn’t sleep, doesn’t care.”

During his testimony on Wednesday, Zuckerberg commented that Boland “developed some strong political opinions” toward the end of his time at the company. (Neither Zuckerberg nor Boland offered specifics, but in a 2025 blog post, Boland indicated he was deleting his Facebook account in part over disagreements with how Meta handled events like January 6th, writing that he believed “Facebook had contributed to spreading ‘Stop the Steal’ propaganda and enabling this attempted coup.”) Lanier spent time establishing that Boland was respected by peers, showing a CNBC article about his departure that quoted a glowing statement from his then-boss, and a reference to an unnamed source who reportedly described Boland as someone with a strong moral character.

On cross examination, Meta attorney Phyllis Jones clarified that Boland didn’t work on the teams tasked with understanding youth safety at the company. Boland agreed that advertising business models are not inherently bad, and neither are algorithms. He also admitted that many of his concerns involved the content users were posting, which is not relevant to the current case.

During his direct examination, Lanier asked if Boland had ever expressed his concerns to Zuckerberg directly. Boland said he’d told the CEO he’d seen concerning data showing “harmful outcomes” of the company’s algorithms and suggested that they investigate further. He recalled Zuckerberg responding something to the effect of, “I hope there’s still things you’re proud of.” Soon after, he said, he quit.

Boland said he left upwards of $10 million worth of unvested Meta stock on the table when he departed, though he admitted he made more than that over the years. He said he still finds it “nerve-wracking” every time he speaks out about the company. “This is an incredibly powerful company,” he said.

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