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Technology
Home robot cooks, cleans and organizes your life
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Ready for a home robot that wakes you up, makes breakfast and even cleans the house afterward? It may sound far-fetched. However, the Chinese robotics company UniX AI says it is closer than most people think.
The company’s new Panther series robot is designed to handle full daily routines rather than just one task at a time. It can move through a home, interact with objects and complete multistep actions without constant input.
UniX AI is already testing the system in real homes and service environments. That shift from the lab to everyday use is what makes this worth paying attention to.
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AI ROBOT NOW HELPS TRAVELERS AT SAN JOSÉ AIRPORT
A new home robot from UniX AI is being tested on chores like laundry, kitchen work and picking up household items. The company says the goal is a machine that can finish full routines with limited input. (CFOTO/Future Publishing via Getty Images)
The tech behind this AI home robot
The robot stands about 5 feet 3 inches to 5 feet, 9 inches tall and weighs roughly 170 pounds based on reported specs. Instead of walking like a humanoid, it moves on wheels. That choice improves stability and helps it run longer on a single charge. This robot can run roughly 6 to 12 hours, depending on use.
A six-microphone array lets it hear and respond to voice commands. That gives it a more natural way to interact with people. Its robotic arms are another key piece. They have multiple joints and can lift up to about 26 pounds. That allows for precise movements like picking up items or placing them exactly where they belong.
Under the hood, the robot is packed with sensors and hardware that help it understand and move through your home. It uses cameras and depth sensors to see objects and spaces. It can also rely on LiDAR to map its surroundings and avoid obstacles.
What this AI home robot can actually do
This robot is designed to follow through on tasks from start to finish. Instead of stopping after one action, it can continue working through a routine without needing constant input.
In recent demonstrations, UniX AI shows the robot preparing food, organizing items and interacting with home appliances inside real residential settings.
That matters because real homes are messy and unpredictable. The robot has to recognize objects, adjust to different layouts and handle tasks in sequence.
Here are a few examples of what it is being tested to do:
- Prepare simple meals and handle kitchen tasks
- Assist with basic routines like morning prep
- Clean rooms and surfaces
- Pick up and organize everyday items
- Move objects from one place to another
- Handle laundry tasks like moving clothes and hanging them to dry
Some of these tasks may sound simple, but they are difficult for machines. Handling objects, moving through tight spaces and working around everyday clutter are still major challenges in robotics.
This is what makes the system stand out. It is not just completing one action. It is working through a series of steps in real environments.
US TARGETS CHINESE ROBOTS OVER SECURITY FEARS
UniX AI says its new Panther robot can handle daily household routines, from meal prep to cleaning, in real homes. The company is positioning it as a general-purpose home assistant, not a single-task machine. (REUTERS/Steve Marcus)
Why this AI home robot is different
Most home robots you see today are built for one job. Think robot vacuums or lawn mowers. This system brings those functions into one platform. It works more like a general-purpose helper.
The difference comes down to how it handles tasks. It can plan and complete a sequence instead of waiting for step-by-step instructions. That is where embodied AI comes in.
It connects software intelligence with physical movement in the real world. Instead of only answering questions, the robot can take action.
What is holding AI home robots back
Even with all this progress, there are real hurdles. Homes are unpredictable. Lighting changes throughout the day. Objects come in all shapes and textures. Spaces get cluttered fast. Tasks that seem simple to humans can be difficult for machines. Folding clothes, handling soft materials or moving through tight spaces are still major challenges. Cost and safety matter too. Most people will not bring a robot into their home unless it can handle all of that and work reliably every single day.
What this means to you
You are not replacing your morning routine with a robot tomorrow. But this shows where things are heading. The idea of a home assistant that handles chores is moving closer to reality. That could mean less time spent cleaning and more time for everything else.
At the same time, it raises questions about trust, privacy and cost. A robot that sees your home and hears your voice needs strong safeguards.
For now, think of this as an early glimpse. It is not about buying one today. It is about understanding what could become normal sooner than expected.
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HUMANOID ROBOT SHOWS SPEED AND REAL SKILL
UniX AI’s robot is designed to cook, clean, organize and assist with daily routines in residential settings. The early tests offer a glimpse at how embodied AI could reshape life at home. (REUTERS/Tingshu Wang)
Kurt’s key takeaways
The idea of a robot that cooks, cleans and organizes your life has been around for decades. What feels different now is how close the pieces are coming together. This robot shows real progress in combining movement, perception and decision-making. It is still early, but it is already being tested in real homes. The next few years will show whether it becomes something more of us rely on every day.
If a robot could handle your daily chores, would you trust it inside your home? Let us know by writing to us at Cyberguy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
YouTube Shorts is rolling out a new AI-powered feature giving creators an easy way to realistically clone themselves on camera. The launch, hinted at earlier this year, reflects the platform’s fraught relationship with AI-generated content, adding more generative features while struggling to contain AI slop, deepfake scams, and impersonations.
YouTube says the new tool will let users create a digital version of themselves, called an avatar, that can be inserted into existing Shorts videos or used to generate entirely new ones. The company said avatars will “look and sound like you,” framing them as a safer and more secure way to use AI to create new content.
Creating an avatar is a bit more involved than simply pressing a button, but it sounds fairly straightforward. In a blog post outlining the process, YouTube said users must first record a “live selfie” capturing their face and voice while following a series of prompts. For the best results, the company recommends good lighting, a quiet area, a background free of other people or images of faces, and holding the phone at eye level.
Once avatars are made, users can select “make a video with my avatar” while creating a video to generate a clip from prompts, which can be up to eight seconds long, according to 9to5google. Users can also add their avatar to “eligible Shorts” in their feed, though YouTube did not specify what makes a Short eligible.
The AI avatar feature comes with fairly tight restrictions. They can only be used in the creator’s own original videos, who also control whether their Shorts can be remixed. The creator can delete their avatar or videos where it appears at any time, YouTube says. Avatars that aren’t used to create new content for three years will be automatically deleted.
Not everyone will be able to use the feature immediately. YouTube says the tool “will be rolling out gradually,” though it did not give a timeline or indication of where it will be available first. Creators must also be at least 18 and own an existing YouTube channel, the company says.
Its arrival comes as one of Google’s main AI rivals, OpenAI, pulls back from video generation. The startup said it was sunsetting its Sora video tool last month after a year of struggling to get the wannabe social platform off the ground. It was costly and faced a parade of copyright challenges, deepfake controversies, and slop that made it an unattractive bet for investors ahead of an anticipated IPO this year.
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You see a charge you don’t recognize. It looks like it came from a trusted brand. Your instinct kicks in. You want to fix it quickly and move on. That’s exactly what happened to Dorothy.
After a simple text, she found herself on the phone with someone who sounded official, confident and completely convincing. Here’s how she described it:
“I received a text from APPLE Pay, which I don’t even use… It said an Apple Store in CA wants to charge me $144… If I have questions, I should call. DUH! I called and was speaking with the scammer.”
“I received a text from APPLE Pay, which I don’t even use… It said an Apple Store in CA wants to charge me $144… If I have questions, I should call. DUH! I called and was speaking with the scammer.”
Within minutes, the situation escalated.
“He knew everything about me… He said I should take out $15,000… He said he was working with the FBI and the FDIC.”
That’s when the pressure really started. Dorothy told me this story when she joined me on my Beyond Connected podcast, and what happened next shows just how far these scams can go.
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10 WAYS TO PROTECT SENIORS FROM EMAIL SCAMS
The text sent to Dorothy shows how a fake Apple Pay alert uses urgency and a phone number to pull you into a scam. (Kurt “CyberGuy” Knutsson)
How this Apple Pay text scam actually works
This scam follows a pattern that is becoming more common. It combines a fake alert with a live phone call designed to build trust fast.
Here’s what is happening behind the scenes:
Step 1: The fake charge alert
You get a text about a suspicious charge. It looks urgent. It often includes a number to call.
Step 2: You call the scammer
The number connects you directly to a criminal. They pose as Apple, your bank or even law enforcement.
Step 3: They build credibility
They may know your name, address or bank. That information often comes from past data breaches.
Step 4: They create fear and urgency
You are told your money is at risk. You need to act immediately.
Step 5: They control your next move
In Dorothy’s case, the scammer told her to withdraw $15,000 and lie to her bank about why.
“He said he would stay on the phone with me while I drove to the bank… If anyone asked, I should say I was buying a car.”
That is a major red flag.
PHISHING SCAM EXPLOITS APPLE MAIL ‘TRUSTED SENDER’ LABEL
Once you call, scammers pose as trusted companies or agencies and pressure you to act quickly. (Kurt “CyberGuy” Knutsson)
The moment everything could have gone wrong
Dorothy drove to the bank with the scammer still on the phone. This is exactly what criminals want. They try to isolate you and keep control of the situation.
But something didn’t feel right.
“When I got to the bank, I recognized one of the employees and told her that I was uncomfortable… She said to hang up immediately.”
That decision changed everything.
The bank confirmed it was a scam. The calls kept coming from different numbers. Dorothy blocked them all. Fortunately, no money was lost.
Why the Apple Pay text scam feels so real
Scammers are getting better at one thing. They make you feel like you are solving a problem, not being scammed.
Here’s why this one works so well:
- It uses a trusted name like Apple Pay
- It creates urgency with a fake charge
- It moves quickly to a live conversation
- It uses real personal details to build trust
- It pressures you to act before you think
They also add authority. Claiming ties to the FBI or FDIC makes people feel like they must comply. In reality, no legitimate agency will ever ask you to move money this way.
The biggest red flags to watch for
If you remember nothing else, remember these:
- A text about a charge that tells you to call a number
- Someone is asking you to withdraw large amounts of cash
- Instructions to lie to your bank or keep a secret
- Claims that your money needs to be “protected”
- Pressure to act immediately
Each one is a warning sign. Together, they confirm it is a scam.
The biggest red flag is being told to move money or keep secrets from your bank or family. (Kurt “CyberGuy” Knutsson)
How to stay safe from Apple Pay text scams
You do not need to outsmart scammers. You just need to slow the situation down.
1) Never trust the number in the message
If you get a suspicious text, do not call the number provided. Look up the official number yourself.
2) Pause before you act
Scammers rely on urgency. Take a moment. Real companies will not rush you like this.
3) Never move money on someone else’s instructions
No bank, tech company or government agency will ask you to withdraw cash to “protect” it.
4) Use strong antivirus software
Strong antivirus software can help detect malicious links, block scam websites and warn you before you engage with risky content. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android and iOS devices at Cyberguy.com.
5) Remove your personal data from the web
Scammers often use data from breaches to sound convincing. A data removal service can help reduce your exposure and limit what criminals can find about you online. 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.
6) Talk to someone you trust
A quick conversation with a friend, family member or bank employee can stop a scam cold.
7) Add extra protection
Consider identity monitoring services that alert you if your information is being misused. See my tips and best picks on Best Identity Theft Protection at Cyberguy.com.
What to do if this happens to you
Even if you did not lose money, take a few steps right away:
- Contact your bank using the number on your card
- Place a fraud alert on your credit
- Consider freezing your credit
- Monitor your accounts closely
- Block any follow-up calls or texts
These steps help protect you from future attempts.
What this means for you
This scam did not begin with a complex hack. Instead, it started with a simple text. That is what makes it so dangerous. At first, it looks routine. Then urgency takes over. As a result, anyone can feel pressured to act quickly and without thinking.
In many cases, the situation feels real. That is how people get pulled into a conversation that seems legitimate. In Dorothy’s case, she trusted her instincts at the right moment. Because of that decision, fortunately, she did not lose $15,000.
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Kurt’s key takeaways
Scammers target more than technology. They focus on human behavior. They create pressure, build trust and keep you engaged long enough to make a mistake. However, you can break the cycle. A single pause can disrupt the scam. Asking one question can expose it. Even a quick conversation with someone you trust can stop it. If you’d like to hear more of Dorothy’s story, you can catch our full conversation on my Beyond Connected podcast at getbeyondconnected.com/
If you got a text like this right now, would you pause or would you call? Let us know by writing to us at Cyberguy.com.
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Get my best tech tips, urgent security alerts and exclusive deals delivered straight to your inbox. For simple, real-world ways to spot scams early and stay protected, visit CyberGuy.com – trusted by millions who watch CyberGuy on TV daily. Plus, you’ll get instant access to my Ultimate Scam Survival Guide free when you join.
Copyright 2026 CyberGuy.com. All rights reserved.
I’m back after being waylaid last week by the deadly combo of a moderate cold and the beginning of pollen season. (Twenty-one percent of the District’s acreage is taken up by public green space, and DC is consistently ranked the best city park system in America. Unfortunately, I am allergic to every tree and grass.) If you’ve got tips on anything I may have missed or anything I should know about the upcoming weeks, send ’em to tina.nguyen+tips@theverge.com.
Do you actually believe anything OpenAI says?
On Monday, OpenAI published a 13-page policy paper addressing the impact that artificial intelligence would have on the American workforce. The company also proposed what it believed was the solution: putting higher capital gains taxes on corporations replacing their workers with AI and using that money to create a bigger public safety net. Its solutions included a public wealth fund, a four-day workweek funded by “efficiency dividends,” and government programs to help transition workers into “human-centered” work, all financed by the abundance that artificial intelligence would deliver.
Unfortunately, it was released the day that The New Yorker’s Ronan Farrow and Andrew Marantz published a meticulously reported, 17,000-word-plus article chronicling Sam Altman’s history of lying to everyone around him, including to his Silicon Valley backers, his employees, his board, and — relevant in this case — lawmakers trying to regulate AI. The New Yorker article reinforced a long-standing narrative about Altman, and OpenAI by extension: They may spout idealistic values, but would quickly jettison them for financial and political gains.
On its own, said several people I spoke to, the paper was a net positive to AI governance overall, in that it introduced new ideas into the political discourse around the emerging technology. But unless the company’s policy and political influence made good on those promises, said OpenAI’s critics, it may as well just be a piece of paper.
“My guess is that there are people on the team who care about the stuff, who’ve thought really hard about this document and are proud of it, and did good work, even if it’s not addressing all of the questions that I wish it would address,” Malo Bourgon, the CEO of the Machine Intelligence Research Institute (MIRI), told me. “And there’s still the question of: Are those people gonna find themselves in the position that many previous people at OpenAI have found themselves in, where they thought the company had certain values or aligned with things they cared about, and then ended up finding out that wasn’t the case, becoming disenchanted and leaving?”
With OpenAI proposing policy, it’s worth looking back at its history with the government, which the New Yorker piece details in depth. Altman had been one of the first major CEOs to publicly advocate for federal oversight for AI, going so far as to propose a federal agency to oversee advanced models in 2023 — but privately he worked to suppress the laws containing his own safety proposals. A state legislative aide in California accused OpenAI of engaging in “increasingly cunning, deceptive behavior” to kill a 2023 AI safety bill that it was publicly supporting. In 2025, the company subpoenaed supporters of a California state-level AI bill in an effort to, as one such supporter put it to The New Yorker, “basically scare them into shutting up.” And though Altman had once worked extensively with the Biden administration to build AI safety standards, the moment that Donald Trump became president, Altman successfully persuaded him to kill the initiatives he’d once advocated for.
Nathan Calvin, the general counsel at Encode, an AI policy nonprofit where he focuses on state legislative initiatives, had received one of those subpoenas. “What I’ve seen from their policy and government affairs engagement has just been abysmal,” he told me. While he believed that the team who’d written the OpenAI proposal, primarily from the technical safety research side, was acting with good intentions, he was still reserving judgment. “Will those folks remain engaged as we move from general policy principles towards the many other ways in which lobbying and government influence actually happens? Part of me is hopeful, but a lot of me is also quite skeptical about whether that will happen.” (OpenAI did not return a request for comment.)
A modest, absolutely not craven request:
Next week I plan on running an issue of Regulator cataloging the nerdiest events happening during Nerd Prom, aka the White House Correspondents’ Dinner party circuit. If you’re a tech founder, tech company, or someone that does something related to technology and you’re throwing an event during WHCD week, please let me know what you’re up to! From what I’ve heard so far, the tech world is about to shake up the normal social dynamics of the week — I’ve already caught wind of the Grindr party in Georgetown, and the Substack party, which famed looksmaxxer Clavicular is attending — and I’m so, so excited to pull together the most bonkers “SPOTTED” column that Washington’s ever experienced.
(Again, this is contingent upon whether we’re at war with Iran by the end of April, in which case, I imagine no one will be up for frivolity.)
Speaking of DC reporters, this is very true of all of us:
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