This is a video of two rollerbladers doing their best Autobots impression and transforming and rolling out as a car. That looks like a good time. Probably more so being the driver than the car though, because I have no core strength and would have just run over my own hair and crashed into the snack bar.

Another highly influential Linux kernel engineer, David Hildenbrand, is leaving Red Hat after a decade of major contributions to memory management, virtualization, and VirtIO. His recent kernel patch updates his maintainer info to a kernel.org address, signaling his departure. He hasn’t yet said where he’s headed next. Phoronix reports: David Hildenbrand serves as a reviewer for the HugeTLB code, s390 KVM code, and memory management reclaim code. He also serves as an upstream maintainer for the Linux kernel’s core memory management code, Get User Pages (GUP) memory management code, kernel samepage merging (KSM), reverse mapping (RMAP), transparent hugepage (THP), memory advice (MADVISE), VirtIO memory driver, and VirtIO balloon driver.

Hildenbrand had been employed by Red Hat the past decade in Munich working on QEMU/KVM virtualization, Linux kernel memory management, VirtIO, and related low-level areas. Just this year alone so far in 2025 he’s authored or been mentioned on more than one thousand mainline Linux kernel patches.

Read more of this story at Slashdot.

Blender 5.0 has been released with major upgrades including HDR and wide-gamut color support on Linux via Wayland/Vulkan, significant theme and UI improvements, new color-space tools, revamped curve and geometry features, and expanded hardware requirements. 9to5Linux reports: Blender 5.0 also introduces a working color space for Blend files, a new AgX HDR view, a new Convert to Display compositor node, new Rec.2100-PQ and Rec.2100-HLG displays that can be used for color grading for HDR video export, and new ACES 1.3 and 2.0 views as an alternative to AgX and Filmic.

A new “Jump Time by Delta” operator for jumping forward/backward in time by a user-specified delta has been introduced as well, along with a revamped Curve drawing, which better supports the new Curves object type and all of their features, and a new Geometry Attribute constraint.

Also new is a “Cylinder” option for curve display type that allows rendering thicker curves without the flat ribbon appearance, support for the Zstd (Zstandard) fast lossless compression algorithm for point caches, as well as a new “Curve Data” panel in edit mode that allows tweaking built-in curve attribute values. A full list of changes can be found here. You can download from the official website.

Read more of this story at Slashdot.

Because everybody dreams of setting a different record (I dream of setting the human hibernation record), this is a video of French cyclist Aurelien Fontenoy hopping his bike up all 686 stairs to the second floor of the Eiffel Tower. I can’t even imagine if it took 686 stairs to get the second floor of my house, but rest assured I would have only seen it once if it did. Aurelien beat the previous record of 19 minutes 4 seconds with a significantly faster 12 minutes 30 seconds. Thankfully, this video is only 43 seconds of that.

Congressional Republicans angered local government leaders with a plan for what local groups call an “unprecedented federal intrusion” into how municipalities issue permits for construction of broadband networks. The Republican plan drew rave reviews from cable lobby groups, however.

A House subcommittee moved ahead with the plan today despite the opposition from local leaders and criticism from Congressional Democrats. Under the bills, some kinds of local telecom projects would be approved automatically if a city or town doesn’t rule within a deadline set by Congress.

“These bills represent an unprecedented federal intrusion into established local decision-making processes, favoring large broadband, telecommunications, wireless, and cable companies at the expense of residents and taxpayers,” four groups representing local leaders wrote in a letter to US lawmakers. “These bills strip local governments of the ability to effectively manage the infrastructure built on local streets and in neighborhoods, while imposing no reciprocal obligations on providers.”

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Last month, a DoorDash driver in upstate New York delivered an item to a local house in Oswego—only to find the front door open and a man apparently unconscious or asleep on a couch in the front room. The man was also quite naked, with pants and underwear around his ankles, and he was fully visible from the porch.

The DoorDasher was a 23-year-old woman named Olivia Henderson, and she felt like the whole situation was some kind of creepy exploitation play. Was this guy purposely exposing himself to her? Was he even asleep? Should she have to endure the sight of random male genitalia just to make a few bucks?

She did not think so, and she decided to do something about it. Henderson filmed the man from outside the home, and she later posted the video on TikTok to shame him. Naturally, it went viral.

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Typography nerds and Android fans, rejoice: You can now download an official version of “the next generation of Google’s brand typeface.” The company has released the Google Sans Flex font to the public for free.

The variable sans-serif font is part of Google’s Material 3 design language, which arrived in 2023. 9to5Google notes that it’s since been integrated into many of the company’s products, including in some corners of Pixel software.

A 2024 Google Design blog post about variable typography highlights the font’s flexibility, as seen in the image above. Casey Henry, a designer with the company, wrote that Google Sans Flex “allows the font’s letterforms to shape-shift at different scales.” OpenType Font Variations is the standard Google uses for variable fonts.

Meanwhile, a Reddit thread about the download dove deeper into typography nerdery. “Interesting behaviour when you condense the width,” u/hbpencil102 wrote. “Instead of circles becoming ovals, they become more rectangular with rounded tops and bottoms, reminding me of DIN 1451.” Amen to that.

You can download Google Sans Flex from Google Fonts.

This article originally appeared on Engadget at https://www.engadget.com/big-tech/the-google-sans-flex-typeface-is-now-available-to-download-214535934.html?src=rss

Nominees for The Game Awards were released yesterday, and there’s a whole lot of indie excellence on display. However, one notable contender among them has decided to withdraw from contention. 

The fabulously titled Megabonk received a nod for the Best Debut Indie Game category. However, the project creator, who currently goes by vedinad, announced on X today that they were withdrawing. “I’ve made games in the past under different studio names, so Megabonk is not my debut game,” the solo dev said. 

The category is kind of a weird one, since indie creators may have worked at other big or small studios. Even fully self-taught devs will have made and maybe even released several projects before having any kind of breakthrough success or popularity. But if vedinad feels the game doesn’t fit the category, then it’s still a gracious move to bow out. 

Megabonk follows in the recent lineage of Vampire Survivors, a popular bullet-hell roguelike that just arrived in virtual reality. The Megabonk riff takes the 2D concept into a low-poly 3D and adds some pretty wacky characters into the mix. Venidad said the title sold 1 million copies in just two weeks, making it one of the latest Steam indie sensations to have a big moment.

This article originally appeared on Engadget at https://www.engadget.com/gaming/megabonk-has-withdrawn-from-the-game-awards-212822746.html?src=rss

An anonymous reader shares a report: Lawyers from the American Civil Liberties Union (ACLU) and Electronic Frontier Foundation (EFF) sued the city of San Jose, California over its deployment of Flock’s license plate-reading surveillance cameras, claiming that the city’s nearly 500 cameras create a pervasive database of residents movements in a surveillance network that is essentially impossible to avoid.

The lawsuit was filed on behalf of the Services, Immigrant Rights & Education Network and Council on American-Islamic Relations, California, and claims that the surveillance is a violation of California’s constitution and its privacy laws. The lawsuit seeks to require police to get a warrant in order to search Flock’s license plate system. The lawsuit is one of the highest profile cases challenging Flock; a similar lawsuit in Norfolk, Virginia seeks to get Flock’s network shut down in that city altogether.

“San Jose’s ALPR [automatic license plate reader] program stands apart in its invasiveness,” ACLU of Northern California and EFF lawyers wrote in the lawsuit. “While many California agencies run ALPR systems, few retain the locations of drivers for an entire year like San Jose. Further, it is difficult for most residents of San Jose to get to work, pick up their kids, or obtain medical care without driving, and the City has blanketed its roads with nearly 500 ALPRs.”

Read more of this story at Slashdot.

This post is part of Find Your Fit Tech, Lifehacker’s fitness wearables buying guide. I’m asking the tough questions about whether wearables can really improve your health, how to find the right one for you, and how to make the most of the data wearables can offer.

When I test smartwatches and fitness trackers, I always pay attention to accuracy. Is my running pace correct? Does the device capture the ups and downs of my heart rate? I even got a VO2max lab test to check a bunch of watches’ fitness scores. But you’ll notice that one thing I don’t test for accuracy is calorie burn. None of my devices come close to agreeing on the number of calories they think I’m burning, and I don’t expect them to. Even scientists who study the accuracy of wearables can’t answer the question in a way that’s useful when you’re shopping for this year’s devices—but we’ll get into why that is below.

There was a time, before Fitbits, when nobody knew quite how many calories they were burning on a daily basis. Sure, you could calculate a rough estimate based on your body size, sex, and age. You could choose whether or not to believe the calorie readout on the cardio machines at the gym. (Spoiler: don’t.) But the idea that a gadget on your wrist could tell you how many calories you personally burned during one particular day was revolutionary. It was also wrong.

How fitness trackers calculate calorie burn

Before I discuss how accurate fitness trackers are, let’s look at where they get their numbers. For calorie calculations, the main sources are motion and heart rate data. For motion, trackers use accelerometers to figure out when your body is moving, and by how much. If you have a watch on your wrist, and the watch swings back and forth rhythmically while sort of bouncing up and down, your gadget guesses that you must be walking. If there is quicker bouncing and your wrist makes a smaller movement, you’re probably running.

This is the basic idea behind how trackers detect how many steps you’re taking. If you’ve paid attention to your step count, you already know some of the ways this can be inaccurate. If you’re shopping, for example, keeping your hand on the shopping cart handle may result in you not getting credit for the steps you’re taking. That depends on the device, though. (For a perfect illustration of this issue, see these tests I did comparing a Garmin to an Apple Watch on a treadmill. When I rested my hands on the treadmill handle, the Apple Watch recorded 318 steps while the Garmin recorded none.)

Then there’s the heart rate sensor: Since your hands don’t always move predictably during exercise, it can be easier to just tell your watch that you’ll be cycling or doing yoga or whatever. The gadget then uses your heart rate to make an educated guess about how much work your body is doing.

Whatever the source of the data—heart rate, movements, or a combination—the gadget processes it through a formula to calculate how many calories it thinks you’re burning. Your age, weight, and sex may figure into this equation. Generally, though, the fitness tracker doesn’t actually know how many calories you’re burning; instead, it’s calculating a probable number based on incomplete information.

Why there’s no simple test for accuracy

If humans were robots, all built the same, all moving in predictable patterns, this formulaic approach might work. But humans are complicated, and technology often gets confused.

For example, you may get different step counts if you put a device on your right versus left wrist. And the optical heart rate sensors that a lot of trackers use may be less accurate on dark skin compared to lighter skin. These problems relate to the data that the trackers gather, but calorie burn isn’t a direct measurement. It’s a calculation, and different algorithms can come up with different calorie burn numbers depending on how the algorithm is designed.

The companies that make fitness trackers aren’t required to publish their algorithms or verify that their calorie counts are accurate. They can just put a device on the market, and there you are, comparing wearables on shopping sites without any information about how accurate they are, outside of the companies’ claims.

Researchers are interested in fitness trackers’ accuracy, which would seem like a good thing. They want to be able to use wearables in research or recommend them for individuals and healthcare providers, and so they’ll run studies comparing consumer devices to lab equipment. This sounds like a great way to answer our questions! But there’s a huge delay in actually getting that information, and it’s often published too late to be useful. By the time a researcher buys a batch of the latest model, runs a study, writes it up, submits it to a journal, and finally gets it published, several years may have gone by, and the company has moved on to the next model.

That delay is why I (usually) can’t use scientific studies to weigh in on the devices I write about. Here’s a great example of how frustrating it can be: this review was published in 2025, and found the Series 1 was the Apple Watch that turned up the most often in the studies the authors were able to gather. The Series 9 and 10 watches were completely missing from the available data, and as a reminder, we’re now up to a Series 11. With that caveat about delays, I still think it’s useful to look at the research on fitness trackers to see what themes emerge. Are any of them good at estimating your calorie burn?

What studies say about fitness trackers’ accuracy

Time for the bad news. A study from 2020 that looked at a variety of gadgets from Apple, Garmin, Polar, and Fitbit found that all the devices are inaccurate more often than they are accurate. The authors considered a device to be accurate if its reading was plus or minus 3% when compared to a more reliable measure of energy expenditure (that is, calorie burn) in a lab setting. Here’s how some of the top brands fared:

• Garmins underestimated calorie burn 69% of the time.

• Apple watches overestimated calorie burn 58% of the time.

• Polar devices overestimated calorie burn 69% of the time.

• Fitbits underestimated calorie burn 48% of the time and overestimated 39% of the time.

The fact that Fitbits were roughly correct on average doesn’t mean they were useful. If sometimes your device overestimates and sometimes it underestimates, it’s not very helpful unless you know which is which.

A 2018 review specifically of Fitbits found that accuracy varied greatly depending on factors like where they were worn (torso was more accurate than wrist), whether you were walking uphill, and whether you walked at a constant speed or stopped and started. The accuracy also varied by device, with the Fitbit Classic underestimating calorie burn and the Fitbit Charge usually overestimating. The devices just aren’t accurate enough to know how many calories you’re really burning

A 2022 study compared the Apple Watch 6, the Fitbit Sense, and the Polar Vantage V. The researchers had volunteers wear all three gadgets while sitting quietly, walking, running, cycling, and strength training. Every gadget, for every activity, was awarded a judgment of “poor accuracy,” with coefficients of variation ranging from 15% to 30%.

And this 2025 review of Apple Watch studies—the same one I mentioned above—found that calorie burn was, on average, off by about 18%. The authors mention a proposed standard from the International Electrotechnical Commission that recommends fitness trackers not be off by more than 10%. That’s clearly not being met, although the researchers noted that newer models may be more accurate than earlier ones.

To get a sense of these percentages, let’s say your true calorie burn is 2,000 calories per day. A device that’s off by 15% might report that you burned 1,700 calories, or that you burned 2,300. If you’re using your device to figure out how much to eat, you could be way off in meeting your calorie goals.

If these devices are all inaccurate, how can you know how many calories you’re burning?

It’s probably most useful if you think of your calorie burn as a number you cannot measure directly. Treat it as a black box: I burn some unknowable number of calories, now what?

The only common reason you would need an accurate estimate of calorie burn is if you are trying to figure out how much food you need to eat. If you want to lose weight, you want to eat less than you burn; if you want to gain weight, you want the reverse; and if you’re trying to maintain your weight, you want to eat roughly the same as what you burn. But think about it this way: you don’t actually need to know your calorie burn if you have the other two terms in the equation—your calorie intake, and your weight.

It’s considered more accurate to adjust how much to eat based directly on your weight, rather than using calorie burn estimates as a middleman. Let’s say you’re training for a marathon and you want to make sure you fuel yourself appropriately. Well, if you’re under-eating, you’ll start to lose weight. When you start to see the scale trending downward, that’s your signal to add a few hundred calories to your diet. If, after that adjustment, your weight stays steady, then you know you’re eating the right amount. As you increase your training (or if you take time off to rest a sprained ankle), you can make more adjustments as you go.

I have a post here detailing how to make these adjustments with the help of either a paid app, a group of free apps, or a DIY spreadsheet. If you’ve been using a fitness tracker instead, and it’s working for you, feel free to keep using it. But if the tracker ever stops giving you the results you want, you can safely leave it out of the equation.

Klarna has claimed that AI-related savings have allowed the buy now, pay later company to increase staff salaries by nearly 60%, but hinted it could slash more jobs after nearly halving its workforce over the past three years. From a report: Chief executive Sebastian Siemiatkowski said headcount had dropped from 5,527 to 2,907 since 2022, mostly as a result of natural attrition, with departing staff replaced by technology rather than by new staff members.

The figures add to the impact of an internal artificial intelligence programme, which had steadily reduced its use of outsourced workers including those in customer service, with technology now carrying out the work of 853 full-time staff, up from 700 earlier this year. It meant the company, which was founded in Sweden in 2005, had managed to increase revenues by 108% while keeping operating costs flat. Siemiatkowski told analysts on an earnings call on Tuesday that it was “pretty remarkable, and unheard of as a number, among businesses.”

Read more of this story at Slashdot.

On Tuesday, Microsoft and Nvidia announced plans to invest in Anthropic under a new partnership that includes a $30 billion commitment by the Claude maker to use Microsoft’s cloud services. Nvidia will commit up to $10 billion to Anthropic and Microsoft up to $5 billion, with both companies investing in Anthropic’s next funding round.

The deal brings together two companies that have backed OpenAI and connects them more closely to one of the ChatGPT maker’s main competitors. Microsoft CEO Satya Nadella said in a video that OpenAI “remains a critical partner,” while adding that the companies will increasingly be customers of each other.

“We will use Anthropic models, they will use our infrastructure, and we’ll go to market together,” Nadella said.

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It can be tricky to find reliable Bluetooth earbuds that hit the right balance of affordability and quality (especially ones with ANC), but the JBL Tune Buds deliver. They’re currently the lowest price they’ve ever been, according to price-trackers, at $39.95 (originally $99.95), bringing the original price down 60%.

JBL Tune Buds

$39.95
at Amazon

$99.95
Save $60.00

$39.95
at Amazon

$99.95
Save $60.00

They’ve earned an “Excellent” rating from PCMag, which commends their decent noise cancellation, customizable EQ, and built-in Alexa, which are all the more impressive at a sub-$50 price point. The earbuds feature JBL’s classic bass-heavy sound, and with the customizable EQ in the companion app, you can further tweak the audio to your liking. The three pairs of silicone eartips the buds ship with also allow users to adjust fit and comfort.

While they can’t compare to top-tier noise cancellation from brands like Bose and Beats, they block outside noise fairly well and last up to 10 hours per charge (12 hours with ANC off). This gets boosted to up to 36 hours with the charging case, which makes up for its somewhat bulky silhouette. They support Bluetooth 5.3 and have 10mm dynamic drivers that deliver a powerful sound with plenty of bass. They’re slightly more durable than similar noise-cancelling buds thanks to an IP54 rating, which can withstand light rain and sweat.

If you’re looking for a pair of earbuds with modest noise cancellation, customizable and punchy sound, and long-lasting battery life for the price, the JBL Tune Buds are solid everyday earbuds that perform well and won’t break the bank—especially at the current 60% discount. 

An anonymous reader shares a report: It’s too soon to be talking about the Curse of OpenAI, but we’re going to anyway. Since September 10, when Oracle announced a $300 billion deal with the chatbot maker, its stock has shed $315 billion in market value.

OK, yes, it’s a gross simplification to just look at market cap. But equivalents to Oracle shares are little changed over the same period (Nasdaq Composite, Microsoft, Dow Jones US Software Index), so the $15 billion loss figure [figure updated with stock price] is not entirely wrong. Oracle’s “astonishing quarter” really has cost it nearly as much as one General Motors, or two Kraft Heinz.

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No one likes to dwell on it, but bullying is a huge part of growing up, and this week the zeitgeist is saturated with it. Kids are using their cameras to pick on people in innovative ways, Tiktokers are parodying bullying in viral videos, and Instagram seems to be taking aim at cultural/political bullying (or bullying memers, depending on who you ask). Even God herself is bullying the poor Tripod fish.

What is the “flip the camera” trend, and why is is making everyone mad?

The “flip the camera” trend is a new and innovative form of bullying that works like this: A group of kids ask another kid to film them doing a dance or something. Then, while the video is being taken, one of them hits the “flip camera” button on the phone, so the videographer becomes the subject of the video. The resulting footage is posted on TikTok.

When I heard about this, my reaction was, “ok, so what?” But when you dig a little deeper, you learn that it’s not necessarily a harmless prank. The idea is not to have a laugh with your social equals, but to give the camera to a dork/dweeb/lamer/whatever, so you can make fun of them. This is the first video using this format, so you can see what I mean:

While it can be done harmlessly, like these cheerleaders pranking their teacher:

the videos where it’s clearly being done to mock someone not in the “in group” are genuinely sad:

We’ve made a lot of progress in society over the last few decades in convincing people that bullying is actually really bad, but young people will go to great lengths to do it anyway. The number of videos on the flipthecamera hashtag that are calling it out as bullying is encouraging, though.

Viral video of the week: Disney bullies

There is a yin to every yang, even online bullying. TikToker @MannytheMann1 is going viral for videos of his gang accosting strangers on a college campus, but he’s employing the tactics of the bullies in Disney Channel TV shows—think backwards baseball caps, exaggerated swagger, and super cheesy dialogue—for comedic effect. The pranks are all in good fun, and maybe something of a commentary on the stupidity of both bullying and Disney Channel shows.

It started with this scene:

Manny’s street improv has gotten more elaborate since, including dance battle challenges and a gang of toadies lining up to give the bully backup:

This one has been viewed nearly 60 million times:

What is a “potato bed”?

There is no shortage of online opinions about the best ways to sleep. This week’s trend is the potato bed. The idea is to make as cozy a sleep space as possible by stuffing as many pillows and blankets as you can into a fitted sheet, so you’re surrounded (and kind of crushed by) them. Here’s a video that illustrates how it works:

It would be easy to write this off as the flash-in-the-pan trend it probably is, but this, and the popularity of weighted blankets, could also indicate that Gen-Z is the first generation of young people to ever take “you should get more sleep” advice seriously. It also feels like a rebuke to the “24/7 grindset” mentality that was in vogue a few years ago. Or it could just be that winter is starting, and everyone wants to be cozy.

TikTok’s Tripod fish obsession

The internet loves tragic animals, and a lot of people on social media have become obsessed with the Tripod fish, an animal that may have the most tragic existence of any creature on earth. Fans and well-wishers are posting odes like this:

and videos like this:

Sometimes they are moved to tears by the fishes’ plight.

So what’s so bad about the Tripod fish’s life? Basically everything. Tripod fish (Bathypterois grallator) hatch from eggs and spend their early lives swimming about and trying to avoid predators in the only way they can—by going totally limp and hoping they’re mistaken for a piece of a jellyfish and left alone. If they live long enough, their eyes begin to melt, and long bony protrusions grow from their fins. No longer able to see or swim normally, the Tripod fish sinks. When it reaches the bottom (sometimes as deep as 4,000 meters), its bony spikes stick into the mud.

Nearly immobile and nearly blind at the very bottom of the sea, the tripod fish waits. If some food happens to swim by or drift down, it can direct currents of water towards its mouth, and maybe get something to eat. If not, it starves. Its only companions are parasites that feed on its blood, essentially stealing most of the food it’s lucky enough to catch.

Tripod fish don’t even get to mate with other tripod fish. Instead, the hermaphroditic sea animal releases a mixture of eggs and sperm into the cold water. If it’s lucky, another tripod fish’s genetic stew mingles with it and eggs are fertilized. If its unlucky, it fertilizes its own eggs. So maybe your life isn’t that bad, eh?

Instagram is targeting meme aggregators

I’m old enough to remember a pre-meme internet where people were expected to post things they made themselves, or at least credited the people they took from. Instagram seems to want to take us back to those days: The social media platform has started flagging meme pages for being duplicated content, essentially declaring war on shit-posting.

On Nov. 7, many Instagram users who posted non-original content—essentially meme farms that exist just to repost vast amounts of anything remotely interesting—received a notification that read, “Content you recently shared may not be original” with a list of posts that violated the duplicated content rule and a suggestion to delete them, lest penalties like post-limiting or shadow-banning result.

This policy essentially outlaws sharing memes, a puzzling decision for a social media platform—people like sharing memes. Many feel the target of the warning is a specific kind of meme: The notices were sent just as the popularity of Charlie Kirk face-swap memes (i.e. people sharing images of just about anything with Kirk’s face on it) were becoming popular While Kirkification seems to be an absurdist thing more than something actually meant to be political, it’s likely upsetting to some, and that could be driving Instagram’s decision. Or maybe the company just wants people to make their own content.

Microsoft’s Copilot AI assistant in Windows 11 fails to replicate the capabilities shown in the company’s TV advertisements. The Verge tested Copilot Vision over a week using the same prompts featured in ads airing during NFL games. When asked to identify a HyperX QuadCast 2S microphone visible in a YouTube video — a task successfully completed in Microsoft’s ad — Copilot gave multiple incorrect answers. The assistant identified the microphone as a first-generation HyperX QuadCast, then as a Shure SM7b on two other occasions. Copilot couldn’t identify the Saturn V rocket from a PowerPoint presentation despite the words “Saturn V” appearing on screen. When asked about a cave image from Microsoft’s ad, Copilot gave inconsistent responses.

About a third of the time it provided directions to find the photo in File Explorer. On two occasions it explained how to launch Google Chrome. Four times it offered advice about booking flights to Belize. The cave is Rio Secreto in Playa del Carmen, Mexico. Microsoft spokesperson Blake Manfre said “Copilot Actions on Windows, which can take actions on local files, is not yet available.” He described it as “an opt-in experimental feature that will be coming soon to Windows Insiders in Copilot Labs, starting with a narrow set of use cases while we optimize model performance and learn.” Copilot cannot toggle basic Windows settings like dark mode. When asked to analyze a benchmark table in Google Sheets, it “constantly misread clear-as-day scores both in the spreadsheet and in the on-page review.”

Read more of this story at Slashdot.