If you want to make the most out of a world increasingly filled with AI tools, here’s a habit to develop: start taking screenshots. Lots of screenshots. Of anything and everything. Because for all the talk of voice modes, omnipresent cameras, and the multimodal future of everything, there might be no more valuable digital behavior than to press the buttons and save what you’re looking at.
Technology
The humble screenshot might be the key to great AI assistants
Screenshots are the most universal method of capturing digital information. You can capture anything — well, almost anything, thanks a lot, Netflix! — with a few clicks, and save and share it to almost any device, app, or person. “It’s this portable data format,” says Johnny Bree, the founder of the digital storage app Fabric. “There’s nothing else that’s quite so portable that you can move between any piece of software.”
A screenshot contains a lot of information, like its source, contents, and even the time of the day in the corner of the screen. Most of all, it sends a crucial and complex signal; it says I care about this. We have countless new AI tools that aim to watch the world, our lives, and everything, and try to make sense of it all for us. These tools are mostly crap for lots of reasons but mostly because AI is pretty good at knowing what things are, but it’s rubbish at knowing whether they matter. A screenshot assigns value and tells the system it needs to pay attention.
Screenshots also put you, the user, in control in an important way. “If I give you access to all of my emails, all my WhatsApps, everything, there’s a lot of noise,” says Mattias Deserti, the head of smartphone marketing at Nothing. There’s simply no reason to save every email you receive or every webpage you visit — and that’s to say nothing of the privacy implications. “So what if, instead, you were able to start training the system yourself, feeding the system the information you want the system to know about you?” Rather than a tool like Microsoft Recall, which asks for unlimited access to everything, starting with screenshots lets you pick what you share.
Until now, screenshots have been a fairly blunt instrument. You snap one, and it gets saved to your camera roll, where it probably languishes, forgotten, until the end of time. (And don’t get me started on all the screenshots I take by accident, mostly of my lockscreen.) At best, you might be able to search for some text inside the image. But it’s more likely that you’ll just have to s scroll until you find it again.
The first step in making screenshots more useful is to figure out what’s actually in them
The first step in making screenshots more useful is to figure out what’s actually in them. This is, at first blush, not terribly complicated: optical character recognition technology has long done a good job of spotting text on a page. AI models take that one step further, so you can either search the title or just “movies” to find all your digital snaps of posters, Fandango results, TikTok recommendations, and more. “We use an OCR model,” says Shenaz Zack, a product manager at Google and part of the team behind the Pixel Screenshots app. “Then we use an entity-detection model, and then Gemini to understand the actual context of the screen.”
See, there’s far more to a screenshot than just the text inside. The right AI model should be able to tell that it came from WhatsApp, just by the specific green color. It should be able to identify a website by its header logo or understand when you’re saving a Spotify song name, a Yelp handyman review, or an Amazon listing. Armed with this information, a screenshot app might begin to automatically organize all those images for you. And even that is just the beginning.
With everything I’ve described so far, all we’ve really created is a very good app for looking at your screenshots, which no one really thinks is a good idea because it would be just one more thing to check — or forget to check. Where it gets vastly more interesting is when your device or app can actually start to use the screenshots on your behalf, to help you actually remember what you captured or even use that information to get stuff done.
In Nothing’s new Essential Space app, for instance, the app can generate reminders based on stuff you save. If you take a screenshot of a concert you’d like to go to, it can remind you that it’s coming up automatically. Pixel Screenshots is pushing the idea even further: if you save a concert listing, your Pixel phone can prompt you to listen to that band the next time you open Spotify. If you screenshot an ID card or a boarding pass, it might ask you to put it in the Wallet app. The idea, Zack says, is to think of screenshots as an input system for everything else.
Mike Choi, an indie developer, built an app called Camp in part to help him make use of his own screenshots. He began to work on turning every screenshot into a “card,” with the salient information stored alongside the picture. “You have a screenshot, and at the bottom there’s a button, and it flips the card over,” he says. “It shows you a map, if it was a location; a preview of a song, if it’s a song. The idea was, given an infinite pool of different types of screenshots, can AI just generate the perfect UI for that category on the fly?”
If all this sounds familiar, it’s because there’s another term for what’s going on here: it’s called agentic AI. Every company in tech seems to be working on ways to use AI to accomplish things on your behalf. It’s just that, in this case, you don’t have to write long prompts or chat back and forth with an assistant. You just take a screenshot and let the system go to work. “You’re building a knowledge base, when today that knowledge base is confined to your gallery and nothing happens with it,” Deserti says. He’s excited to get to the point where you screenshot a concert date, and Essential Space automatically prompts you to buy tickets when they go on sale.
Making sense of screenshots isn’t always so straightforward
Making sense of screenshots isn’t always so straightforward, though. Some you want to keep forever, like the ID card you might need often; other things, like a concert poster or a parking pass, have extremely limited shelf lives. For that matter, how is an app supposed to distinguish between the parking pass you use every day at work and the one you used once at the airport and never need again? Some of the screenshots on my phone were sent to me on WhatsApp; others I grabbed from Instagram memes to send to friends. No one’s camera roll should ever be fully held against them, and the same goes for screenshots. Lots of these screenshot apps are looking for ways to prompt you to add a note, or organize things yourself, in order to provide some additional helpful information to the system. But it’s hard work to do that without ruining what makes screenshots so seamless and easy in the first place.
One way to begin to solve this problem, to make screenshots even more automatically useful, is to collect some additional context from your device. This is where companies like Google and Nothing have an advantage: because they make the device, they can see everything that’s happening when you take a screenshot. If you grab a screenshot from your web browser, they can also store the link you were looking at. They can also see your physical location or note the time and the weather. Sometimes this is all useful, but sometimes it’s nonsense; the more data they collect, the more these apps risk running into the same noise problem that screenshots helped solve in the first place.
But the input system works. We all take screenshots, all the time, and we’re used to taking them as a way to put a marker on so many kinds of useful information. Getting access to that kind of relevant, personalized data is the hardest thing about building a great AI assistant. The future of computing is certainly multimodal, including cameras, microphones, and sensors of all kinds. But the first best way to use AI might be one screenshot at a time.
Towerborne, a side-scrolling action RPG published by Xbox Game Studios that has been available in early access, will officially launch on February 26th. But instead of launching as a free-to-play, always-on online game as originally planned, Towerborne is instead going to be a paid game that you can play offline.
“You will own the complete experience permanently, with offline play and online co-op,” Trisha Stouffer, CEO and president of Towerborne developer Stoic, says in an Xbox Wire blog post. “This change required deep structural rebuilding over the past year, transforming systems originally designed around constant connectivity. The result is a stronger, more accessible, and more player-friendly version of Towerborne — one we’re incredibly proud to bring to launch.”
“After listening to our community during Early Access and Game Preview, we learned players wanted a complete, polished experience without ongoing monetization mechanics,” according to an FAQ. “Moving to a premium model lets us deliver the full game upfront—no live-service grind, no pay-to-win systems—just the best version of Towerborne.”
With the popular live service games like Fortnite and Roblox getting harder to usurp, Towerborne’s switch to a premium, offline-playable experience could make it more enticing for players who don’t want to jump into another time-sucking forever game. It makes Towerborne more appealing to me, at least.
With the 1.0 release of the game, Towerborne will have a “complete” story, new bosses, and a “reworked” difficulty system. You’ll also be able to acquire all in-game cosmetics for free through gameplay, with “no more cosmetic purchasing.” Players who are already part of early access will still be able to play the game.
Towerborne will launch on February 26th on Xbox Series X / S, Xbox on PC, Game Pass, Steam, and PS5. The standard edition will cost $24.99, while the deluxe edition will cost $29.99.
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Cybercriminals have found a clever new way to get phishing emails straight into inboxes.
Instead of spoofing brands, they are abusing real cloud tools that people already trust. Security researchers say attackers recently hijacked a legitimate email feature inside Google Cloud.
The result was thousands of phishing messages that looked and felt like normal Google notifications. Many slipped past spam filters with ease.
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How this Google Cloud phishing attack worked
At the center of the campaign was Google Cloud Application Integration. This service allows businesses to send automated email notifications from workflows they build. Attackers exploited the Send Email task inside that system. Because the messages came from a real Google address, they appeared authentic to both users and security tools.
According to Check Point, a global cybersecurity firm that tracks and analyzes large-scale threat campaigns, the emails were sent from a legitimate Google-owned address and closely matched Google’s notification style. Fonts, wording, and layout all looked familiar. Over a two-week period in December 2025, attackers sent more than 9,000 phishing emails targeting roughly 3,200 organizations across the U.S., Europe, Canada, Asia Pacific, and Latin America.
Attackers used trusted Google Cloud infrastructure to route victims through multiple redirects before revealing the scam. (Thomas Fuller/SOPA Images/LightRocket via Getty Images)
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Why Google phishing emails were so convincing
The messages looked like routine workplace alerts. Some claimed you had received a voicemail. Others said you were granted access to a shared document, like a Q4 file. That sense of normalcy lowered suspicion. Many people are used to seeing these exact messages every day. Even more concerning, the emails bypassed common protections like SPF and DMARC because they were sent through Google-owned infrastructure. To email systems, nothing looked fake.
What happens after you click
The attack did not stop at the email. Once a victim clicked the link, they were sent to a page hosted on storage.cloud.google.com. That added another layer of trust. From there, the link redirected again to googleusercontent.com. Next came a fake CAPTCHA or image check. This step blocked automated security scanners while letting real users continue. After passing that screen, victims landed on a fake Microsoft login page hosted on a non-Microsoft domain. Any credentials entered there were captured by the attackers.
Who was targeted in the Google Cloud phishing attack
Check Point says the campaign focused heavily on industries that rely on automated alerts and shared documents. That included manufacturing, technology, finance, professional services, and retail. Other sectors like healthcare, education, government, energy, travel and media were also targeted. These environments see constant permission requests and file-sharing notices, which made the lures feel routine.
“We have blocked several phishing campaigns involving the misuse of an email notification feature within Google Cloud Application Integration,” a Google spokesperson told Cyberguy. “Importantly, this activity stemmed from the abuse of a workflow automation tool, not a compromise of Google’s infrastructure. While we have implemented protections to defend users against this specific attack, we encourage continued caution as malicious actors frequently attempt to spoof trusted brands. We are taking additional steps to prevent further misuse.”
The incident demonstrates how attackers can weaponize legitimate cloud automation tools without resorting to traditional spoofing.
Ways to stay safe from trusted-looking phishing emails
Phishing emails are getting harder to spot, especially when attackers abuse real cloud platforms like Google Cloud. These steps help reduce risk when emails look familiar and legitimate.
1) Slow down before acting on alerts
Attackers rely on urgency. Messages about voicemails, shared files or permission changes are designed to make you click fast. Pause before taking action. Ask yourself whether you were actually expecting that alert. If not, verify it another way.
2) Inspect links before you click
Always hover over links to preview the destination domain. In this campaign, links jumped across multiple trusted-looking Google domains before landing on a fake login page. If the final destination does not match the service asking you to sign in, close the page immediately.
3) Treat file access and permission emails with caution
Shared document alerts are a favorite lure because they feel routine at work. If an email claims you were granted access to a file you do not recognize, do not click directly from the message. Instead, open your browser and sign in to Google Drive or OneDrive manually to check for new files.
The final step led users to a fake Microsoft login page, where entered credentials were silently stolen. (Stack Social)
4) Use a password manager to catch fake login pages
Password managers can be a strong last line of defense. They will not autofill credentials on fake Microsoft or Google login pages hosted on non-official domains. If your password manager refuses to fill in a login, that is a red flag worth paying attention to.
Next, see if your email has been exposed in past breaches. Our #1 password manager (see Cyberguy.com/Passwords) pick includes a built-in breach scanner that checks whether your email address or passwords have appeared in known leaks. If you discover a match, immediately change any reused passwords and secure those accounts with new, unique credentials.
Check out the best expert-reviewed password managers of 2025 at Cyberguy.com.
NEW GOOGLE AI MAKES ROBOTS SMARTER WITHOUT THE CLOUD
5) Run strong antivirus software with phishing protection
Modern antivirus tools do more than scan files. Many now detect malicious links, fake CAPTCHA pages, and credential harvesting sites in real time. Strong antivirus software can block phishing pages even after a click, which matters in multi-stage attacks like this one.
The best way to safeguard yourself from malicious links that install malware, potentially accessing your private information, is to have strong 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 & iOS devices at Cyberguy.com.
6) Reduce your exposure with a data removal service
Phishing campaigns often succeed because attackers already know your email, employer or role. That information is commonly pulled from data broker sites. A data removal service helps remove your personal information from these databases, making it harder for attackers to craft convincing, targeted emails.
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.
Get a free scan to find out if your personal information is already out on the web: Cyberguy.com.
7) Enable two-factor authentication (2FA) everywhere
Even if attackers steal your password, two-factor authentication (2FA) can stop them from accessing your account. Use app-based authentication or hardware keys when possible, especially for work email, cloud storage, and Microsoft accounts.
8) Report suspicious emails immediately
If something feels off, report it. Flag suspicious Google or Microsoft alerts to your IT or security team so they can warn others. Early reporting can stop a phishing campaign before it spreads further inside an organization.
Google phishing emails looked like routine workplace alerts. (Kurt “CyberGuy” Knutsson)
Kurt’s key takeaways
This campaign highlights a growing shift in phishing tactics. Attackers no longer need to fake brands when they can abuse trusted cloud services directly. As automation becomes more common, security awareness matters more than ever. Even familiar emails deserve a second look, especially when they push urgency or ask for credentials.
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If a phishing email comes from a real Google address, how confident are you that you would spot it before clicking? Let us know by writing to us at Cyberguy.com.
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You can’t shake a stick without hitting an AI gadget at CES this year, with artificial smarts now embedded in just about every wearable, screen, and appliance across the show floor, not to mention the armies of AI companions, toys, and robots.
But those are just the beginning. We’ve seen AI pop up in much stranger places too, from hair clippers to stick vacs, and at least one case where even the manufacturer itself seemed unsure what made its products “AI.”
Here are the gadgets we’ve seen at CES 2026 so far that really take the “intelligence” out of “artificial intelligence.”
Glyde smart hair clippers
This is a product that would be silly enough without the AI add-on. These smart hair clippers help amateur hairdressers deliver the perfect fade by dynamically altering the closeness of the cut, helped along by an ominous face mask that looks like it belongs in an optician’s office.
But it’s taken to the next level by the real-time AI coach, which gives you feedback as you cut. Glyde told me it’s working on voice controls for the AI too, and that eventually it will be able to recommend specific hairstyles, so long as you’re willing to trust its style advice. Are you?
“Where Pills meet AI.”
That was the message emblazoned across the SleepQ booth, where company reps were handing out boxes of pills — a multivitamin with ashwagandha extract according to the box, supposedly good for sleep, though I wasn’t brave enough to test that claim on my jetlag.
Manufacturer Welt, originally spun out of a Samsung incubator, calls its product “AI-upgraded pharmacotherapy.” It’s really just using biometric data from your smartwatch or sleep tracker to tell you the optimal time to take a sleeping pill each day, with plans to eventually cover anxiety meds, weight-management drugs, pain relief, and more.
There may well be an argument that fine-tuning the time people pop their pills could make them more effective, but I feel safe in saying we don’t need to start throwing around the term “AI-enhanced drugs.”
Startup Deglace claims that its almost unnecessarily sleek-looking Fraction vacuum cleaner uses AI in two different ways: first to “optimize suction,” and then to manage repairs and replacements for the modular design.
It says its Neural Predictive AI monitors vacuum performance “to detect issues before they happen,” giving you health scores for each of the vacuum’s components, which can be conveniently replaced with a quick parts order from within the accompanying app. A cynic might worry this is all in the name of selling users expensive and proprietary replacement parts, but I can at least get behind the promise of modular upgrades — assuming Deglace is able to deliver on that promise.
Most digital picture frames let you display photos of loved ones, old holiday snaps, or your favorite pieces of art. Fraimic lets you display AI slop.
It’s an E Ink picture frame with a microphone and voice controls, so you can describe whatever picture you’d like, which the frame will then generate using OpenAI’s GPT Image 1.5 model. The frame itself starts at $399, which gets you 100 image generations each year, with the option to buy more if you run out.
What makes the AI in Fraimic so dubious is that it might be a pretty great product without it. The E Ink panel looks great, you can use it to show off your own pictures and photos too, and it uses so little power that it can run for years without being plugged in. We’d just love it a lot more without the added slop.
Infinix, a smaller phone manufacturer that’s had success across Asia for its affordable phones, didn’t launch any actual new products at CES this year, but it did bring five concepts that could fit into future phones. Some are clever, like various color-changing rear finishes and a couple of liquid-cooling designs. And then there’s the AI ModuVerse.
Modular phone concepts are nothing new, so the AI hook is what makes ModuVerse unique — in theory. One of the “Modus” makes sense: a meeting attachment that connects magnetically, generating AI transcripts and live translation onto a mini display on the back.
But when I asked what made everything else AI, Infinix didn’t really have any good answers. The gimbal camera has AI stabilization, the vlogging lens uses AI to detect faces, and the microphone has AI voice isolation — all technically AI-based, but not in any way that’s interesting. As for the magnetic, stackable power banks, Infinix’s reps eventually admitted they don’t really have any AI at all. Color me shocked.
There’s a growing trend for AI and robotic cooking hardware — The Verge’s Jen Tuohy reviewed a $1,500 robot chef just last month — but Wan AIChef is something altogether less impressive: an AI-enabled microwave.
It runs on what looks suspiciously like Android, with recipe suggestions, cooking instructions, and a camera inside so you can see the progress of what you’re making. But… it’s just a microwave. So it can’t actually do any cooking for you, other than warm up your food to just the right temperature (well, just right plus or minus 3 degrees Celsius, to be accurate).
It’ll do meal plans and food tracking and calorie counting too, which all sounds great so long as you’re willing to commit to eating all of your meals out of the AI microwave. Please, I beg you, do not eat all of your meals out of the AI microwave.
The tech industry absolutely loves reinventing the vending machine and branding it either robotics or AI, and AI Barmen is no different.
This setup — apparently already in use for private parties and corporate events — is really just an automatic cocktail machine with a few AI smarts slapped on top.
The AI uses the connected webcam to estimate your age — it was off by eight years in my case — and confirm you’re sober enough to get another drink. It can also create custom drinks, with mixed success: When asked for something to “fuck me up,” it came up with the Funky Tequila Fizz, aka tequila, triple sec, and soda. What, no absinthe?
Photo: Dominic Preston / The Verge
Should you buy your kid an AI toy that gives it a complete LLM-powered chatbot to speak to? Probably not. But what if that AI chatbot looked like chibi Elon Musk?
He’s just one of the many avatars offered by the Luka AI Cube, including Hayao Miyazaki, Steve from Minecraft, and Harry Potter. Kids can chat to them about their day, ask for advice, or even share the AI Cube’s camera feed to show the AI avatars where they are and what they’re up to. Luka says it’s a tool for fun, but also learning, with various educational activities and language options.
The elephant in the room is whether you should trust any company’s guardrails enough to give a young kid access to an LLM. Leading with an AI take on Elon Musk — whose own AI, Grok, is busy undressing children as we speak — doesn’t exactly inspire confidence.
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