Genesis just showed the world its first full-size electric SUV, the GV90, and the doors alone are enough to stop traffic. On the range-topping Neolun version, the rear doors open backward while the fronts swing forward. A dual-motion hinge lets the rear doors slide out a short distance first, then swing wide. When both pairs stand open, the B-pillar vanishes from view. Genesis calls the arrangement the Neolun Arch Gate and claims it is the first coach-door system that can open and close each door on its own. The result is a single, unbroken opening that feels closer to stepping into a private lounge than climbing into a conventional three-row SUV.

The identical Neolun model can be ordered as a four-seat Executive Suite, although this is not the only configuration option. Real wood veneer covers the second-row floor and even warms the space with soft heat from beneath, a modern spin on the popular Korean underfloor heating system. The armrests, side panels, and even the door trims join in the fun. When the car is parked, the front seats simply swing around to face the back, allowing four people to sit in a circle and speak. There’s also a privacy divider, a fridge, fold-out tables, and a glass ceiling (that allows you to adjust the transparency to your mood), all of which contribute to the feeling of a fancy living room on wheels. Seats with 15 individual air cells and a special metallic coating on the windshield that clears ice without the use of a climate system, because who needs the car’s heating to keep the windshield clear when you have this?

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A dual-motor setup generates 657 horsepower and 590 lb-ft of torque. The 123.5-kilowatt-hour battery is the largest Hyundai Motor Group has ever fitted to an electric vehicle, which bodes well for range. So we’re looking at about 310 miles with the lighter seven-seat configuration, but with a lower load, and a 350-kilowatt charger that can charge the battery from 10 to 80 percent in 22 minutes. Multi-chamber air suspension ensures a smooth ride, and rear-wheel steering allows you to tilt the steering wheel a sharp 5 degrees, making the 208-inch-long GV90 feel like a midsize sedan.

Inside the cabin, the flat floor and the long 127.8-inch wheelbase provide plenty of space. When the vehicle is parked, the 23.6-inch OLED panel appears, and when there is additional space available, it extends to a 24.6-inch cinematic display. You also have a 25-inch head-up display that projects speed, navigation, and driver-assistance information directly in front of you. Twenty-five Bang & Olufsen speakers provide Dolby Atmos sound, and for added peace of mind, a new roof airbag deploys when you’re on your roof in a rollover, keeping everyone safe inside.

The regular GV90 is equipped with conventional doors and six or seven seats. Both use the same engine, battery, and much of the technology. There are sixteen exterior colors to pick from, including three matte finishes, while the limited Neolun comes in a special two-tone paint. The body color 24 inch forged wheels complement the wool cashmere touches inside.

Production will begin in the 2027 model year, although pricing has yet to be determined. We predict the conventional version to start about $100,000, while the Neolun variations will likely cost more. Genesis is positioning the GV90 as a comfy SUV, a place for you and your friends to hang out while driving, rather than a pure efficiency machine. With its coach doors, oak floor, and lounge seating, the GV90 feels more like a private room on wheels than a normal three-row hauler.
[Source]

Bambu Lab packed its most approachable machine into a footprint that fits on a crowded workbench and still delivers results that used to require far more patience and money. The A1 Mini, priced at $224.10 (was $249), reaches first-time owners fully assembled, already squared, and loaded with automatic routines that handle the tedious setup steps older printers forced users to master by hand. Unbox it, remove a few shipping ties, plug in power and Wi-Fi, and the machine begins calibrating itself. Bed leveling, vibration compensation, nozzle pressure checks, and Z-offset all happen without paper tests or manual adjustments. Most people reach a successful first print inside twenty minutes.

The build volume is a cube of 180 by 180 by 180 millimeters. This little beast of a machine can tackle a variety of projects, including phone stands, desk organizers, miniature tools, figurines, and about every useful component a beginner may require. Larger projects are more difficult to complete because they must be split and glued, but it is a small price to pay for keeping the item compact and stable. The moving bed and strong frame with full-metal linear rails maintain the motion looking smooth, even when the tool head is rushing ahead.

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Speed is one of the primary reasons to purchase this printer. Official top speed is 500 millimeters per second with an acceleration of 10,000 millimeters per second squared, but in the real world, most people find that quality prints top out at 180-300 millimeters per second depending on the model, which is still a lot faster than those low-cost machines that were the norm for beginners just a few years ago. In some cases, a standard Benchy test model can conclude in less than twenty minutes, which is equivalent to completing a work break.

The print surface is ready to go because all you have to do is place the provided textured PEI plate on it and heat it to 80 degrees Celsius. When the print is finished, simply let it cool and it will pop out with a little flex. The all-metal hotend is capable of reaching 300 degrees Celsius and includes a 0.4 millimeter stainless nozzle that can be quickly replaced. You may also modify the nozzle size to 0.2, 0.6, or 0.8 millimeters to change the print detail or flow. Direct-drive extrusion works well with PLA, PETG, TPU, and PVA. ABS, on the other hand, is out of the question since the open frame and moderate bed temperature cannot maintain a consistent heat level.

The machine monitors things as it goes, such as filament runout, tangle detection, and power outage recovery, to help prevent those annoying unsuccessful prints that can occur overnight. There’s even a camera on board that records your print progress and allows you to create time-lapse videos, which is really cool. The touchscreen is 2.4 inches in size and color, and you can operate pretty much anything from there, but there’s also free software and a phone app to help with slicing, remote monitoring, and file transfer by Wi-Fi or microSD. Best of all, there are pre-tuned profiles for most of the popular filaments, so you don’t have to go through all that trial and error stuff..

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If you want to go fancy, there is an extra AMS Lite unit that adds four-color support. This device sits outside the printer and can switch materials on the fly during a single job; it’s like magic, I tell you. You can perform multi-color printing without constantly changing filament, but it generates waste and takes up more room, and don’t get me started on flexible filaments…

Even in the quieter modes, this machine is reasonably quiet, with noise levels of less than 48 dB, allowing you to use it in a shared living room without bothering anyone. It also weighs only 5.5 kilograms and measures 347 by 315 by 365 millimeters, making it easy to transport if necessary. The greatest part is that everything comes in one box, including a starter spool, spare nozzle, some tools, and adhesive, so you’re virtually ready to go from the start.

Facepalm: The latest Patch Tuesday update for Windows 11 started rolling out last week, bringing multiple new features, improvements, and bug fixes. However, following several complaints from disgruntled users, Microsoft has now acknowledged that the update may be causing some games to crash on affected devices.

The KB5121003 update was released on August 11 for Windows 11 builds 26200.9168 and 26100.9168. According to some users who installed the update, it contains a bug that is causing games to crash and display the EXCEPTION_ACCESS_VIOLATION error. In some cases, the PC automatically reboots after the crash.

After Redditor MyCatsNameIsKlaus reported the issue last week, several others confirmed that they were also experiencing crashes, error messages, and random reboots after installing the update. Redditor Thin_Twist7030 even posted event logs, WER reports, and a kernel dump analysis by DeepSeek, suggesting that the game crashes were actually system BSODs that occurred while playing Arc Raiders.

The AI analysis suggests that the problems are caused by a pre-existing “bad-handle bug” that Windows previously ignored or returned an error for when an invalid handle was closed. However, the update appears to have tightened kernel handle validation, causing the same invalid handle close to trigger bug check 0x93 INVALID_KERNEL_HANDLE instead of being tolerated.

Microsoft confirmed that the issue is affecting Windows 11 versions 25H2 and 24H2 and is investigating whether it is caused by the update or incompatible third-party software. The company added that affected games include Arc Raiders, Marvel Tokon: Fighting Souls, and The Finals.

Microsoft hasn’t suggested an official workaround, but Thin_Twist7030 claims that rolling back KB5121003 via DISM stopped the crashes on his system. They added that they have paused Windows Update for one month so that the contentious update package won’t automatically reinstall. As a permanent fix, they recommend that users remove old drivers responsible for the bad-handle bug.

Game crashes and random reboots are apparently not the only issues caused by KB5121003. According to a Microsoft Learn post by Brian Stringfellow, Teams and the new Outlook are no longer working on Arm devices after installing the update. While Teams crashes after opening, the new Outlook doesn’t even launch. The classic Outlook app, however, works as expected.

Stringfellow claims that the issue is affecting a Snapdragon-powered Microsoft Surface Laptop 7th Edition assigned to his company’s CFO. He added that the same problem cropped up earlier this year after installing KB5094126, but the issue was resolved by simply rolling back the update. The problem has now apparently reemerged following last week’s update.

Microsoft has yet to respond to the report, but a couple of other users replied to the thread, confirming that they are also experiencing similar issues on the HP OmniBook 3 and Surface Pro 11, both powered by Arm64 processors.

A lawsuit has been filed against the well-known smart ring brand Oura, alleging the company used false advertising by deceiving users about the accuracy of its AI-generated sleep tracking. The suit, filed Thursday by Clarkson Law Firm in San Francisco, seeks class action status and a jury trial.

“Oura built an $11 billion company on that trust,” the lawsuit alleges. “To capitalize on consumers’ desire for a tracker that could actually track sleep and monitor their sleep cycles. Oura sold expensive tracking rings, priced at $300 and up, advertising exactly that: that Oura rings are capable of seeing what only a hospital sleep lab can see.”

Representatives from Oura didn’t immediately respond to a request for comment.

The lawsuit alleges that Oura Ring‘s algorithms and sensors can’t detect the physiological signals required to accurately measure the details of the different stages of sleep. Instead, the suit alleges that Oura’s devices rely on “AI-generated guesses” that are no better than “a coin flip.” Since Oura says otherwise in its marketing and product details, the suit alleges the company is deceiving customers who have bought an Oura Ring.

Head over to Oura’s website, and you’ll see the company says its wearables track seven sleep elements, including REM and deep sleep, to provide a sleep score. The suit points out that Oura’s marketing includes statements such as “95% Sleep Staging Accuracy compared to clinical sleep lab,” but alleges that sleep labs require complex methods, including multiple electrodes to measure brain activity, which Oura’s products lack.

“When people rely on a device to guide decisions about their health, misinformation cannot be tolerated,” Ryan Clarkson, co-founder and managing partner at Clarkson Law Firm, said in a press release. “Oura users trust that the numbers on their screen reflect reality. People structure their days, interpret the way they feel and design their lives around inaccurate figures.”

What does this mean for Oura?

Nasha Addarich Martínez/CNET

It’s too early to say whether Oura Ring buyers could join the suit, or what specific compensation they could get should the trial go ahead or a settlement be reached.

For more insight, I asked one of CNET’s experts on Oura products, Senior Editor Anna Gragert, what she thinks of the company.

“While health trackers like the Oura Ring can flag potential symptoms that may prompt a helpful conversation with your doctor, they can’t diagnose,” Gragert said. “They’re also not the same as the medical equipment you’d find at your doctor’s office. For sleep scores and stages in particular, these are just estimates … don’t overemphasize a single data point or ‘score.’”

Gragert also mentioned that more research is needed on devices like those Oura sells.

“It’s also important to consider that wearable health trackers have been launched at a pace that’s made it difficult for scientific research to keep up, so more studies investigating the potential downsides of these devices are needed,” she said.

This isn’t the first lawsuit Oura has faced: There is an ongoing class action alleging that Oura collected sensitive personal information without customer consent for two years.

Tyler Lacoma

Editor / Home Security and Smart Home

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AI-generated content in the Apple Music app may get easier than ever to spot, as record labels and distributors will be required to label it as such later in 2026.

Back in March 2026, Apple introduced Transparency Tags for Apple Music. These are entirely optional disclosure labels, which were used to indicate that specific content was “materially generated” with the help of artificial intelligence.

At the time, Apple said it believed distributors should “take an active role in reporting when the content they deliver is created using AI,” and that its AI-focused tags were “the first concrete step” in the process. So far, however, Apple hasn’t forced labels or distributors to label AI-generated content, but that might soon change.

In an email to Apple Music content distributors, detailed by The Hollywood Reporter, Apple now says that “content providers will be required to include AI Transparency Tags in any instance where AI was used to create a material portion of the content, including tracks that are AI platform generated.”

The change is set to take effect later this year, though it remains to be seen how Apple aims to enforce its new requirements.

At the time of writing, Apple’s AI Transparency Tags are not visible to end users of Apple Music. However, the company’s email to Apple Music content distributors says that it wants to “provide listeners with as much transparency as possible,” so there’s always a chance the AI-disclosure tags will become visible to all.

Apple’s decision to force distributors and record labels to use AI labels is a bit of a pivot, compared to its earlier stance. Even so, the move is part of a larger strategy to combat misleading AI-generated content.

Apple’s efforts to reduce AI spam, impersonation, and play count manipulation

In an open letter to the music industry, back in May 2026, Apple highlighted the benefits of AI, but cautioned that artificial intelligence should never replace artists, but only amplify their work.

To that end, Apple claims that it has created internal tools to identify AI-made tracks, fight spam tracks, and combat impersonation, all by monitoring music streams. If an AI-generated track is getting Apple Music can even automatically pull AI-generated tracks that get their plays from manipulated streams.

In 2025, Apple redistributed royalties from approximately 2 billion manipulated streams, with the funds diverted to the company’s payout pool for artists and labels.

Apple has “developed technology in-house that would allow us to exactly see what music people are delivering us,” said Apple Music VP Oliver Schusser in April 2026. He added that these tools let Apple see “what AI [model] it is and all that.”

The company’s current assortment of AI and spam-prevention tools is seemingly effective. According to Schusser, more than a third of songs uploaded to the Apple Music service are “100% AI,” but listening remains below 0.5%. In other words, nobody’s actually listening to these fully AI-generated songs.

How other music streaming services handle AI disclosure

Overall, Apple’s efforts targeting the abuse of AI are admirable, but the company is late to the party, especially compared to Deezer’s approach.

Spotify will apply an AI Persona badge to select artist profiles.

Apple Music rival Deezer has had AI-detection systems for well over a year, catching 60,000 AI-generated songs each day. Its CEO claimed most AI-generated content on Deezer was used to commit fraud.

Spotify, meanwhile, has taken a restrictive yet nuanced approach regarding AI. The streaming service excludes songs associated with “AI Personas” from editorial recommendations. Artists themselves have the option to disclose whether they use generative AI by labeling their profile as an AI Persona, but Spotify itself will step in and apply the label if it’s deemed necessary.

Once a preset listener threshold is met, Spotify will apply the AI Persona badge if an artist’s public identity “appears to represent photorealistic AI-generated identities.” Notably, however, the AI Persona badge will display if the designation was applied by Spotify or by the artist themselves. Artists will have the option to appeal Spotify’s decisions as well.

While it remains to be seen when Apple Music’s AI label requirements will roll out, Spotify’s AI Persona badges will become available in mid-September 2026, while Deezer’s anti-AI measures remain in use.

All in all, Apple’s approach to AI in music is now more decisive, with its idea of mandatory labels. The company recognizes the potential of AI, and while it hasn’t banned AI songs outright, it won’t tolerate manipulated play counts or impersonation of real human artists.

Google is investigating an issue that some Android devices are encountering when trying to use RCS messaging. According to Reddit threads and Android-focused websites, some people switching to new devices, most commonly smartphones from Samsung, or who are switching carriers, are encountering error code 3100, a connection error, when using Google Messages.

“We’re aware of this issue and are working with our carrier partners to get it fixed as soon as possible,” a Google spokesperson said in an email to CNET.

A spokesperson for Samsung did not immediately respond to a request for comment.

Several Reddit posts point to issues accessing messaging for people who have purchased new phones like Samsung’s Galaxy S26 or Galaxy Z Fold. The problem may also be affecting people who used Samsung’s Smart Switch feature, according to an expert from Google’s help community on the Google Messages subreddit.

Workarounds for solving the issue range from the elaborate, like a six-step plan that includes turning off two-step verification and removing Google Play Services updates, to a trick using a VPN to connect to another country before trying RCS again. Others have suggested a factory reset or, if dealing with the issue in hindsight isn’t the problem, turning off RCS messaging before migrating to a new Android device or switching carriers.

The rise of RCS

For years, Google championed RCS as a messaging standard to succeed SMS, which it hoped Apple would adopt, something that eventually happened in 2024. The protocol, which stands for Rich Communication Services, allows people with Android and iOS phones to message each other in ways that bridge the gap between the two different operating systems.

Later in 2024, Samsung formally partnered with Google to ensure RCS worked well on Samsung devices running Android. But Samsung discontinued its Samsung Messages app, which went dark in July. The hardware maker encouraged its customers to switch over to Google’s Messages app.

This summer, Apple and Google began to add end-to-end encryption to their RCS services.

Until both OpenAI and Anthropic get close enough to their planned IPOs to release their financials, we have to look to other sources for signs of how well their businesses are doing. One of those sources, Ramp, the corporate credit card and expense management company, has just released some surprising new data: OpenAI has started gaining on Anthropic with US businesses.

OpenAI, which was once the runaway leader with both businesses and consumers, lost the lead among Ramp’s paying business users back in May. That’s when Anthropic hit 41% market share to OpenAI’s 39%. The ChatGPT maker has never regained that lead. As of July, Anthropic has nearly 44% to OpenAI’s nearly 40%.

The data covers more than 70,000 American businesses that spend billions via Ramp’s bill pay and corporate card products. Ramp’s customers are spread across industries but, as a popular Silicon Valley corporate credit card, they do skew toward the tech industry.

A closer look at the most recent data, according to Ramp economist Ara Kharazian, shows that OpenAI is currently growing faster among this segment in Q3 to date than Anthropic. Mind you, there’s still a month left in the quarter and that’s like 30 AI years, so the trend could easily shift again before it’s over. Ramp also declined to provide actual dollars spent, sharing only percentages.

To borrow ChatGPT’s own hedging style for a moment: this isn’t a measure of the the total market. It excludes large enterprises that use spend-management tools from providers like American Express, rather than Ramp. But it’s enough data to show market indications. And what it shows is that Anthropic hasn’t won permanently. Businesses are willing to flop back and forth as each lab releases new models, volatility that should give both companies’ investors pause about how “sticky” enterprise AI spending really is.

“GPT-5.6 Sol is really good, increasingly the choice for developers,” Kharazian posted on X about OpenAI’s new growth. “Fable 5, meanwhile, disappointed both in adoption and real-world application given price + data retention requirements imposed by regulators,” he continued.

That may be an over simplification. Fable — Anthropic’s higher-end model tier — is expensive but it’s also built for a more targeted set of use cases than a general chatbot. Still, Anthropic did cause some outrage when it warned Fable users that it must retain their data for 30 days.

Ramp’s data also suggests that both companies should be growing business revenue, even as they duke it out for market share, because the market overall is expanding. The percentage of companies that pay for AI among these Ramp customers has been steadily climbing. It topped 50% in March. It reached nearly 56% by July.

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Ripple effect: The Federal Trade Commission is putting companies on notice over their use of personal consumer data to set individualized prices. In a bulletin issued Wednesday, the FTC said businesses must clearly disclose when they use detailed information about a consumer to generate a personalized price offer, including the types of data used.

The agency said it cannot ban personalized pricing under its current authority, but it will pursue enforcement action against companies that fail to meet its disclosure requirements.

The warning addresses the growing use of automated pricing systems that rely on consumer data. Companies can use browsing histories, location, device type, shopping behavior, and other signals to estimate how much a person may be willing to pay. AI-based pricing software can process that information quickly and adjust offers for individual users.

The FTC cited several examples. A food-delivery company would need to disclose if it charges a consumer more based on personal data. A ride-share company would face the same requirement if it increases a fare because it knows a customer does not have a competing app installed on their phone.

The practice differs from traditional discounts offered to broad groups, such as students or senior citizens. Personalized pricing uses data to make decisions at the individual level. This has become easier as retailers and platforms collect more information through websites, apps, and connected devices.

The FTC began studying the practice during the Biden administration. The agency found that companies could use personal data to charge more when shoppers appear unfamiliar with a market, including new parents and first-time car buyers. The commission has not released a full report from that study.

FTC Chairman Andrew Ferguson, who was then a Republican minority commissioner, criticized the earlier release of the preliminary findings. He also closed a public-comment effort on surveillance pricing that former FTC Chair Lina Khan had opened during her final week in office.

Personalized pricing drew more attention after Instacart allowed retailers to test different prices for individual shoppers in four cities. Consumers who added the same products to their carts at the same time could receive different prices. Instacart said the tests were intended to help retailers understand consumer preferences. The company ended the tests after customers objected.

The FTC said it does not know how widely businesses use individualized pricing. However, it said consumers can suffer “substantial injury” when they pay more because a company used their personal information without disclosing it.

“The more sophisticated personalized pricing practices become, the less likely consumers are to benefit,” the commission added.

Some Democrats and consumer advocates say the FTC’s action does not go far enough. Sen. Elizabeth Warren has criticized dynamic pricing as a way for companies to extract more money from consumers.

“Today’s announcement by the FTC is two years too late and not nearly enough,” said Nidhi Hegde, executive director of the American Economic Liberties Project, a progressive group focused on antitrust and other consumer issues.

States have taken a more direct approach. New York last year required companies to disclose their use of personalized pricing, while Maryland prohibited algorithms from changing food prices at the individual level.

Now, at the national level, the FTC’s message is clear: Companies that use personal information to determine what a customer pays must tell that customer.