Xiaomi has just given a global launch to two of its latest flagship phones, the Xiaomi 17 and 17 Ultra, along with a Leica-branded Leitzphone edition of the Ultra. There’s no sign, however, of the 17 Pro, which launched in China with an additional display mounted next to the rear cameras.
Technology
Robots learn 1,000 tasks in one day from a single demo
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Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out. We have heard about robots taking over since science fiction began, yet real-life robots still struggle with basic flexibility. This time felt different.
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ELON MUSK TEASES A FUTURE RUN BY ROBOTS
Researchers highlight the milestone that shows how a robot learned 1,000 real-world tasks in just one day. (Science Robotics)
How robots learned 1,000 physical tasks in one day
A new report published in Science Robotics caught our attention because the results feel genuinely meaningful, impressive and a little unsettling in the best way. The research comes from a team of academic scientists working in robotics and artificial intelligence, and it tackles one of the field’s biggest limitations.
The researchers taught a robot to learn 1,000 different physical tasks in a single day using just one demonstration per task. These were not small variations of the same movement. The tasks included placing, folding, inserting, gripping and manipulating everyday objects in the real world. For robotics, that is a big deal.
Why robots have always been slow learners
Until now, teaching robots physical tasks has been painfully inefficient. Even simple actions often require hundreds or thousands of demonstrations. Engineers must collect massive datasets and fine-tune systems behind the scenes. That is why most factory robots repeat one motion endlessly and fail as soon as conditions change. Humans learn differently. If someone shows you how to do something once or twice, you can usually figure it out. That gap between human learning and robot learning has held robotics back for decades. This research aims to close that gap.
THE NEW ROBOT THAT COULD MAKE CHORES A THING OF THE PAST
The research team behind the study focuses on teaching robots to learn physical tasks faster and with less data. (Science Robotics)
How the robot learned 1,000 tasks so fast
The breakthrough comes from a smarter way of teaching robots to learn from demonstrations. Instead of memorizing entire movements, the system breaks tasks into simpler phases. One phase focuses on aligning with the object, and the other handles the interaction itself. This method relies on artificial intelligence, specifically an AI technique called imitation learning that allows robots to learn physical tasks from human demonstrations.
The robot then reuses knowledge from previous tasks and applies it to new ones. This retrieval-based approach allows the system to generalize rather than start from scratch each time. Using this method, called Multi-Task Trajectory Transfer, the researchers trained a real robot arm on 1,000 distinct everyday tasks in under 24 hours of human demonstration time.
Importantly, this was not done in a simulation. It happened in the real world, with real objects, real mistakes and real constraints. That detail matters.
Why this research feels different
Many robotics papers look impressive on paper but fall apart outside perfect lab conditions. This one stands out because it tested the system through thousands of real-world rollouts. The robot also showed it could handle new object instances it had never seen before. That ability to generalize is what robots have been missing. It is the difference between a machine that repeats and one that adapts.
AI VIDEO TECH FAST-TRACKS HUMANOID ROBOT TRAINING
The robot arm practices everyday movements like gripping, folding and placing objects using a single human demonstration. (Science Robotics)
A long-standing robotics problem may finally be cracking
This research addresses one of the biggest bottlenecks in robotics: inefficient learning from demonstrations. By decomposing tasks and reusing knowledge, the system achieved an order of magnitude improvement in data efficiency compared to traditional approaches. That kind of leap rarely happens overnight. It suggests that the robot-filled future we have talked about for years may be nearer than it looked even a few years ago.
What this means for you
Faster learning changes everything. If robots need less data and less programming, they become cheaper and more flexible. That opens the door to robots working outside tightly controlled environments.
In the long run, this could enable home robots to learn new tasks from simple demonstrations instead of specialist code. It also has major implications for healthcare, logistics and manufacturing.
More broadly, it signals a shift in artificial intelligence. We are moving away from flashy tricks and toward systems that learn in more human-like ways. Not smarter than people. Just closer to how we actually operate day to day.
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Kurt’s key takeaways
Robots learning 1,000 tasks in a day does not mean your house will have a humanoid helper tomorrow. Still, it represents real progress on a problem that has limited robotics for decades. When machines start learning more like humans, the conversation changes. The question shifts from what robots can repeat to what they can adapt to next. That shift is worth paying attention to.
If robots can now learn like us, what tasks would you actually trust one to handle in your own life? Let us know by writing to us at Cyberguy.com
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Copyright 2025 CyberGuy.com. All rights reserved.
Polymarket has been allowing people to bet on when the US would strike Iran next. Obviously, now that it’s actually happened and people have died, the prediction betting market is feeling some pressure. The site has been at the center of controversy before, including suspicions of insider trading on the Super Bowl halftime show and the capture of Venezuelan President Nicolás Maduro.
In a statement posted on its site, Polymarket defended its decision to allow betting on the potential start of a war, saying that it was an “invaluable” source of news and answers, before taking shots at traditional media and Elon Musk’s X. The statement reads:
…
Read the full story at The Verge.
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Google has officially discontinued its Dark Web Report feature, a free tool that once scanned known dark web breach dumps for personal information tied to a user’s Google account. The service delivered notifications when email addresses and other identifiers appeared in leaked datasets.
According to Google’s support page, the system ceased scanning for new dark web data Jan. 15, 2026, and the reporting function was removed entirely on Feb. 16, 2026, meaning users can no longer access the feature.
The company said the decision reflects a shift toward security tools it believes provide clearer guidance after exposure, rather than standalone scan alerts.
If you previously relied on the free dark web scan as an early warning signal for leaked data, this change removes one of your sources.
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Google officially ended its Dark Web Report tool, removing free breach alerts tied to user accounts. (Kurt “CyberGuy” Knutsson)
So what did users really lose?
Google’s Dark Web Report acted as a basic exposure scanner. It checked whether personal information linked to a Google account had surfaced in known breach collections circulating on the dark web.
When a match is found, users receive a notification identifying which type of data appeared in a leak. Depending on the data breach, that could include an email address, phone number, date of birth or other identifying details commonly harvested during large-scale hacks.
The report did not display stolen credentials or provide access to the leaked database itself. It also did not trace the origin of the compromise beyond referencing the breached service when available.
After an alert was issued, the next steps were left to the user. Google recommended actions such as changing passwords, enabling stronger authentication methods and reviewing account security settings. With the tool now removed, that automated breach check tied directly to a Google account is no longer available.
What you still have access to
Google directs users to its Security Checkup, a dashboard that scans your account for weak settings and unusual sign-in activity.
Its built-in Password Manager includes Password Checkup, which scans saved credentials against known breach databases and prompts you to change exposed passwords. Google also supports passkeys and two-factor verification to lock down account access.
The Results About You tool lets users search for personal information in Google Search and submit removal requests for certain publicly indexed details.
149 MILLION PASSWORDS EXPOSED IN MASSIVE CREDENTIAL LEAK
Without the automatic scan, users must now check for leaked data using other security tools. (iStock)
Alerts don’t always mean protection
Once personal information is compromised, it often ends up far beyond the breach itself. Stolen credentials and identity data are regularly trafficked on underground platforms where buyers can search for information tied to real people.
The BidenCash dark web marketplace was taken down by U.S. authorities in June 2025, and the Justice Department confirmed that the platform peddled stolen personal information and credit card data.
These illicit markets operate with a level of organization not unlike legitimate online stores. Search tools and bulk data sets are up for grabs and can be used to target any online account. This makes credential stuffing easier, where attackers test leaked passwords across multiple services in hopes of barreling into your account.
A breach alert tied to a dark web scan points to a leak at one moment in time; it does not follow whether that information has been sold to third parties or used in subsequent fraud attempts. For everyday users, this means that just knowing your data appeared in a leak doesn’t help much.
THINK YOUR NEW YEAR’S PRIVACY RESET WORKED? THINK AGAIN
Stolen personal information can circulate for years, making ongoing monitoring more important than a one-time alert. (Kurt “CyberGuy” Knutsson)
Identity monitoring may be a better option
With Google’s scan gone, some people may consider dedicated identity protection services instead. Many of these services offer continuous monitoring of your personally identifiable information and send alerts about changes to your credit reports from all three major U.S. credit bureaus. That can include notifications about new inquiries, newly opened accounts and monthly credit score updates. Some plans also monitor a broader range of personal identifiers, such as driver’s license numbers, passport numbers and email addresses.
Beyond credit monitoring, certain services track linked bank, credit card and investment accounts for unusual activity. They may also monitor public records for changes to addresses or property titles and alert you if your information appears in those filings.
Many providers include identity theft insurance to help cover eligible out-of-pocket recovery costs. Coverage limits vary by plan and provider. Additional features often include spam call and message protection, a password manager, a virtual private network (VPN) and antivirus software.
No service can prevent every form of identity theft. However, ongoing monitoring and recovery support can make it easier to respond quickly if your information is misused.
See my tips and best picks on Best Identity Theft Protection at Cyberguy.com.
Kurt’s key takeaways
Google’s decision to drop its Dark Web Report may seem small. But it removes a tool many users relied on. For some, those alerts were the first warning that their data appeared in a breach. That automatic scan is now gone. Google still offers Security Checkup, Password Checkup, passkeys and two-step verification. However, none of them actively scan dark web breach dumps for you. Stolen data does not disappear. Criminals copy, sell and reuse it. One alert shows a single moment. Ongoing identity theft monitoring helps you stay aware over time.
Now that Google has dropped its dark web monitoring feature, will you actively check your data exposure or assume someone else is watching it for you? Let us know your thoughts by writing to us at Cyberguy.com
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Copyright 2026 CyberGuy.com. All rights reserved.
Related Article
The 17 and 17 Ultra will apparently be available soon in the UK, Europe, and select other markets. The 17 — pitched as a rival to the likes of the iPhone 17 and Samsung Galaxy S26 — will cost £899 / €999 (about $1,200), while the larger and more capable Ultra starts from £1,299 / €1,499 ($1,750). The limited-edition Leitzphone will be substantially more expensive at £1,699 / €1,999 ($2,300), though it includes 16GB of RAM and 1TB of storage, along with a few extra accessories.
The 17 is an extremely capable small-ish flagship, with a 6.3-inch OLED display, Qualcomm Snapdragon 8 Elite Gen 5, and large 6,330mAh silicon-carbon battery (though sadly smaller than the 7,000mAh version launched in China). I won’t be writing a full review of the 17, but did spend a week using it as my main phone, and found that the battery cruised past the full-day mark, though wasn’t quite enough for two full days of my typical usage. That’s far better battery life than you’d find in similarly sized phones from Apple, Samsung, or Google.
The cameras impress too, with 50-megapixel sensors behind each of the four lenses, selfie included. Pound for pound, you won’t find many better camera systems in any phone this size.
1/10
The Ultra, unsurprisingly, takes things to another level. It’s much larger, with a 6.9-inch display, and weighs a hefty 218g. Despite that, the 6,000mAh is actually smaller, though I found it delivered pretty similar longevity.
The enormous camera is, as ever for Xiaomi’s Ultra phones, the highlight. There are 50-megapixel sensors for each of the main, ultrawide, and selfie cameras, with a large 1-inch-type sensor behind the primary lens. The periscope telephoto is even more impressive: 200-megapixel resolution, a large 1/1.4-inch sensor, and continuous optical zoom from 3.2x to 4.3x, the equivalent of 75-100mm. Xiaomi isn’t the first to pull off a true zoom phone — Sony’s Xperia 1 IV got there first in 2022 — but the telephoto camera here is far more capable than that phone’s, with natural bokeh and impressive performance even in low light.
The camera capabilities are supported by Xiaomi’s ongoing photography partner Leica, but it’s the pair’s Leitzphone that really emphasizes that. Slightly redesigned from the 17 Ultra Leica Edition that was released in China last December, this includes Leica branding across the hardware and software, a range of Leica filters and shooting styles, and a rotatable rear camera ring that can be used to control the zoom. It’s the first Leica Leitzphone produced by Xiaomi — after a trio of Japan-only Sharp models — and comes with additional branded accessories, including a case with a lens cap and a microfiber cleaning cloth.
Xiaomi has plenty of other announcements alongside the 17 series phones at MWC this year, including a super-slim magnetic power bank, the Pad 8 and Pad 8 Pro tablets, and a smart tag that supports both Google and Apple’s tech-tracking networks.
Photography by Dominic Preston / The Verge
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