The news is a surprise, as Walmart has long refused to adopt the ubiquitous payment technology to instead promote its own in-house solutions, like Walmart Pay and Scan-and-Go. In years past, Walmart even teamed up with other big retailers in an attempt to take down Apple Pay entirely with an alternative mobile payment system of their own, called CurrentC. The effort failed and was shut down back in 2016.

All the while, Walmart customers have begged the company to support modern tap-and-pay technology, like Apple Pay, which is now accepted at 85% of retailers across the U.S., including most larger stores.

For Walmart, the decision reads as a defeat. As one of the world’s largest retailers, it believed it could push customers to its own payment solutions despite the growing adoption of Apple Pay and others of its kind. Ultimately, it had to admit that it was disadvantaging its own customers in the process.

Becoming a preferred source can drive more traffic to publishers’ websites, Google said. In earlier studies, it found that people are twice as likely to click through to a preferred source when available. By offering publishers these additional tools, Google is trying to assuage the damage that the rapid growth of AI-powered search features has had on traffic-dependent businesses.

Alongside the new button, Google said that readers will soon be able to customize their Discover feed in Google’s app in their own words. To use this feature, readers will tap any three-dot menu in the feed and then tell Google what topics they’d like to see more or less of, using natural language commands. This helps Google refine the feed in real time.

The Processes tab can show NPU use alongside CPU and GPU activity, while the Performance tab displays overall utilization. […] Microsoft was keen to point out the metrics that can be monitored. “As AI workloads become more common on Windows devices, visibility into NPU and GPU neural engine utilization can help you make better-informed decisions,” the company said. “With the latest Task Manager improvements, you can monitor AI processing activity alongside CPU, memory, storage, and networking data from a familiar interface.”

Chang’e 7, China’s seventh moon mission, is scheduled to launch on a Long March 5 rocket from the coastal Wenchang Space Launch Site on the island of Hainan, with the launch window opening on the morning of August 24 local time (the evening of August 23 EDT). The mission includes an orbiter, as well as a lander, which totes a rover and a novel “hopping” robot. The spacecraft will take up to six days to reach lunar orbit, where it will then spend two months preparing for a November landing meant to be a near bull’s-eye on the lunar south pole. The mission also includes equipment from several international partners, highlighting China’s growing global influence — both on and off Earth.

The mission’s lunar target is Shackleton Crater, a 21-kilometer-wide (13-mile-wide) pit with a rim that grazes the moon’s south pole. No other spacecraft has ever landed so close. That proximity should allow Chang’e 7 to prospect for water ice trapped in smaller depressions near Shackleton that, because of the moon’s tilt, never see sunlight and have temperatures just a few dozen degrees above absolute zero. “There are big reservoirs of ice water at the poles,” says Simone Dell’Agnello, a physicist at Italy’s National Institute for Nuclear Physics.

No one knows, however, just how big those reservoirs are or what their actual distribution is across the lunar south pole’s crater-pocked desolation. And because that ice might be used as for manufacturing rocket fuel or to make potable water for thirsty astronauts, answering those questions is key for the U.S.‘s and China’s competing plans to construct crewed lunar outposts.

Just like laptops, cars depend on microprocessors and RAM, or random-access memory, to run all of their computations. “There’s just a baseline level of tech, and thus a baseline level of cost, required of every vehicle,” Karl Brauer, the executive analyst at iSeeCars, an automotive-research platform, told me. Technology is a major reason the average price of a new car in the U.S. has reached some $50,000, and that was before RAM became one of the most prized commodities in the world. AI companies are snatching up as much memory as possible for their data centers, causing a RAM shortage that has significantly raised the prices of phones, laptops, and just about any consumer-electronic device. Cars are next.

[…] Over the next year, the memory shortage — sometimes known as RAMageddon — will likely raise vehicle prices by a few percentage points, on average, [said Sam Abuelsamid, an analyst at Telemetry and a former automotive engineer]. The relative amount would be smaller than the shocking double-digit jumps for gaming consoles and MacBooks but in some ways more significant: A 4 percent price hike for cars amounts to some $2,000 on average. Cars with those centralized computers will be affected the most, but no vehicle will be spared. “Even if you don’t need the high-end chips, you’re going to pay more even for the low-end chips just because of the supply constraint,” Abuelsamid said. On a recent earnings call, Ford’s chief financial officer said that the company had paid $1 billion in higher materials costs due to the memory shortage and inflation. GM and Volkswagen, too, have noted rising chip costs to investors. (Ford and GM did not respond to a request for comment. A spokesperson for Volkswagen told me that the company has “recognized an increased demand for memory chips, primarily driven by growing requirements in other industries,” and that in recent years, Volkswagen has taken measures to “mitigate supply risks.”)

RAMageddon is poised to last for several years, but the consequences for car buyers may be permanent. Consider what happened during the pandemic, when supply-chain disruptions and rising demand for electronics produced a major chip shortage. Nearly every major car company had to slash production because they simply couldn’t procure enough chips, and shifted their focus to selling higher-end and higher-profit vehicles. Potential customers already willing to spend six figures on a car are much less likely to care about a 5 or 10 percent price hike, [said Ivan Drury, the director of insights at Edmunds]. Even now, car companies are continuing to focus on selling more profitable models. Since the pandemic, the average price of a new vehicle has jumped $11,000.

The AI-fueled chip crisis could play out more severely. The average price of a new car could, before long, jump to $60,000 and beyond. These rising costs are making cars even more similar to computers and all of the software they run: Perhaps in an effort to mitigate higher prices, some automakers are also introducing in-car advertisements and putting certain features, such as heated seats, behind a paywall. As cars have morphed into computers, the inevitable next step is for automakers to behave like modern tech companies.

The revamped international app no longer requires identity verification — meaning users can sign up without having to provide a passport or ID document, which were long required of overseas users on its main Chinese platform, according to what appears to be a newly created account on X marketing the platform to global creators. “Yes bilibili is going global,” the account wrote, adding that content-wise, the US and Chinese sites will be the same.

In a document recently shared in a Discord chat for Bilibili creators, the company pitched itself as a place for influencers to make money and connect with “Gen Z Coded, affluent and well-educated” users. A marketplace for international users to connect with brands for sponsored content is “in development,” according to the presentation. The deck also showed creators how to post videos on its Chinese website, adding that an English version is “coming soon. We are working hard.”

Millions of people finish short video after short video every day; a new brain-scan study shows that the very act of finishing a clip they like temporarily quiets the brain regions that normally help them stay focused and weigh longer-term goals. When people watch a short video they enjoy enough to finish, two brain regions involved in cognitive control show significant deactivation. That is the central finding of a new study from Zhejiang University, published in NeuroImagein January 2026.

Using functional MRI alongside proton magnetic resonance spectroscopy (H-MRS), the research team examined 56 young adults while they freely watched short video clips inside an MRI scanner. Both the dorsal anterior cingulate cortex (dACC) and the dorsolateral prefrontal cortex (dlPFC) showed reduced activity specifically when participants watched clips they liked enough to view to completion. Cognitive control helps people balance immediate pleasures against longer-term goals, and impairments in this system are linked to conditions such as depression, anxiety, ADHD, and addiction. Short-video platforms present rapid, algorithmically curated streams that are built for continuous, low-effort consumption.

Prior behavioral research has tied both internet addiction and smartphone addiction to weaker self-control, and separate neuroimaging work has documented disruptions to reward and cognitive-control circuits in people with behavioral addictions. Despite this, few studies had directly tested whether the act of watching entertaining short videos itself suppresses the brain’s cognitive control regions. The Zhejiang University team set out to answer that question, along with a second one: what neurochemical factors might explain why this suppression varies from person to person?

A major attack on August 1 hit warehouses belonging to the RNK-Ranok publishing group in Kharkiv, destroying approximately 8m books, following July attacks in Kyiv which led to the loss of more than 1.5m books. In all, the recent attacks have led to the destruction of approximately 30% of the volume of books produced annually in Ukraine.

The RNK-Ranok logistics centre, which stores books for the company’s many imprints, is also the distribution centre for the national bookselling chain KnyhoLand, which runs 51 shops and several websites. Along with the estimated 8m books lost, a further 600,000 school textbooks were destroyed. The total loss has been preliminarily estimated at almost 1bn hryvnias (16.5m eueros). “At this stage, we face the risk of the collapse of the entire book ecosystem,” said Oleksandra Koval, director of the Ukrainian Book Institute. The institute is asking for donations to support Ukrainian publishers, and is calling on the international publishing community to work with Ukrainian publishers and raise awareness about Russian attacks on Ukrainian culture.

On August 16, a Russian attack on Kyiv led to a fire breaking out at the Pochaina book market, destroying several rows of stalls, books and vendors’ property. The Pochaina market, founded in 1997, was once one of Ukraine’s largest book markets, with hundreds of stalls and books from more than 120 publishers. The institute said the book industry was of “strategic importance” to Ukraine, preserving and promoting Ukrainian culture and giving the country’s voice a platform at home and abroad. […] The institute also called for an end to cooperation with Russian publishers and literary agencies, saying that solidarity with Ukrainian publishers was crucial to preserving cultural heritage that Russia was “deliberately trying to destroy.”

In Festus, Mo., critics of a local data center project gathered enough signatures in May to force a vote to remove the mayor and City Council members who had approved a $6 billion data center, though the effort is tied up in legal wrangling. In Mason, Mich., residents will vote in November over whether to recall a City Council member over a vote to create zoning rules for data centers. Voters in Yukon, Okla., will also decide in November whether to recall their mayor after the town moved to sell land to a data center developer. And residents of Independence, a city of 121,000 that is 10 miles from Kansas City, will vote on whether to remove Mr. Perkins on Sept. 1.

Some local officials have already lost their jobs in the face of data center concerns in regularly scheduled elections. Last year, two members of the Georgia Public Service Commission lost their seats amid concern about data centers’ driving up electricity prices. A Virginia state delegate, Geary Higgins, also lost his job last year after his opponent branded him “Data Center Geary.” […] Independence would be one of the first municipalities to hold a data-center-motivated recall election. A judge this month rejected a legal challenge by Mr. Perkins and others, who argued the recall violated Missouri’s Constitution.

A math professor at the University of California, Berkeley, criticizing a “severe” math deficiency among students in an op-ed for the San Francisco Standard, admitted to using artificial intelligence to help edit the piece. The Standard published a 2,000-word piece by Zvezdelina Stankova last week, in which the professor said some of her math students were “five to eight years” behind and lacked a “middle school” education on fractions and basic algebra. Stankova said the UC system’s test-blind admissions were to blame, suggesting that students who weren’t sufficiently prepared for the rigor of Berkeley’s mathematics program were admitted because a longstanding benchmark like the SAT had disappeared.

Over the weekend, journalists at Berkeley’s student newspaper, the Daily Californian, noticed the op-ed’s language sounded like AI. According to Berkeley sophomore Francis Luo, they ran it through AI-detection software Pangram, which claimed 33% of the op-ed had been generated or assisted by AI. In response, Stankova admitted she had used AI software to “help edit the piece” but that the article was “the result of several hundred person-hours of intensive human work, of which about 80 hours are my own.”

Stankova said by email she had used AI to locate “numerous documents and articles related to the initiative” but that “all analysis is the result of the team members.” When asked about their AI usage policy, the Standard — which published the op-ed — shared this statement by email: “While AI may assist, our expectation is that humans are behind every article we publish and take responsibility for every word. Our understanding in working with the author of this op ed was — and continues to be — that this piece reflects her and her colleagues’ extensive original analysis, research and expertise.”

Bloomberg described two categories of payment: funding directed at specific programs, and a portion of the revenue YouTube brings in through large advertiser partnerships. No agreements have been finalized, but YouTube is close to deals with several partners, citing people familiar with the negotiations who declined to be identified. Creators who sign with Netflix face consequences. YouTube has warned creators that those who simultaneously publish videos on Netflix risk being sidelined from the platform’s marketing campaigns and events, and would lose access to a share of proceeds from certain major brand deals.

Netflix has been signing YouTube creators to non-exclusive deals that allow them to post the same content on both platforms simultaneously. Creators including Alan Chikin Chow and Nick DiGiovanni have already signed such agreements, and Netflix remains in active conversations with dozens of other channels and programs, including the celebrity talk show Hot Ones. Netflix’s pitch is straightforward: creators receive a substantial additional payday for content they have already produced, and their work reaches an audience that numbers more than 325 million subscribers.

YouTube Chief Executive Officer Neal Mohan had previously held that creators who work with competitors tend to drive viewers back to YouTube. But Bloomberg reported that Mohan and his team decided in recent weeks that the growing number of creators posting simultaneously on both platforms had become a problem that needed to be addressed. The concern is that when a video runs on both platforms simultaneously, YouTube’s ability to convince advertisers of that video’s exclusive value is undermined.

Overall, according to findings from independent security researcher Jeremiah Fowler, the exposed ClarityCheck database contained roughly 450 GB of images, including what appeared to be profile images, screenshots, and other photographs of adults, teenagers, and children. All of the images were stored in an unsecured Amazon S3 bucket, with files in folders named “faces” and “profiles,” which could be accessed by anyone online through a URL included in the company’s publicly available website code.

ClarityCheck is one of a number of so-called people-finder tools that have appeared online in recent years. These websites broadly claim to be able to search the web, public records, and other databases to identify individuals. ClarityCheck’s website says it can run searches on phone numbers, email addresses, vehicle identification numbers, and names. Its photo-search page says it can help “identify anyone in a photo” and find social media profiles “in seconds.” While ClarityCheck secured the giant image database after WIRED contacted the company in July, Fowler warns that it was seemingly exposed for months, and his initial efforts to flag the problem to the company were unsuccessful. Accidental data exposures create risk for any personal information, but particularly for sensitive and unchangeable biometric data like face images.

[…] In addition to the face data, ClarityCheck had also misconfigured its APIs such that its website URLs could be manipulated to reveal data about people simply by entering names; anyone using any consumer browser could have done this. Entering a name into one of the URLs would return multiple potential email addresses, physical addresses, and phone numbers for people with that name. After WIRED contacted the company, the URLs were secured. The ClarityCheck spokesperson said in the statement that the details displayed were “sourced from publicly available information and licensed third-party data providers.”

The Federal Communications Commission last week eliminated the gigabit speed goal established during the Biden administration and declared that current levels of broadband deployment in the US are acceptable. Though fiber networks have routinely offered such speeds for years, the FCC said the gigabit speed goal is not “technologically neutral,” suggesting that it isn’t fair to other, slower technologies.

In 2024, the FCC raised its broadband benchmark to 100Mbps downstream and 20Mbps upstream, setting the new standard by which to judge whether deployment is reasonable and timely. The FCC at the time also set a long-term speed goal of 1Gbps download speeds paired with 500Mbps upload speeds, saying it would use the goal “as a guidepost for evaluating our efforts to encourage deployment.” Republican Brendan Carr, who is now the FCC chairman, never liked that long-term goal. He proposed abolishing it last year, and the change was finalized on August 14 in the FCC’s latest broadband deployment report. The reports are mandated by Section 706 of the Telecommunications Act.

“As part of our return to following the plain language of Section 706, we adopt our proposal from the Notice [of Inquiry] to abolish without replacement the long-term goal of 1,000/500 Mbps established in the 2024 Report,” the order said. “A long-term goal is not mentioned in Section 706 and could appear to violate our obligation to conduct our analysis in a technologically neutral manner. At present, it is impossible to predict long-term technological developments and the evolution of consumer preferences.” The FCC said that comments submitted by cable industry group NCTA and wireless industry group CTIA “support our reasoning for abolishing the long-term goal.”

The draft code comprises three principles. The first principle requires businesses to disclose the generative AI models they use, their training data and methods for collecting such data on their websites and make the information publicly accessible. Meanwhile, disclosure of sensitive information will not be mandatory. The second principle calls for businesses to disclose whether certain webpages are included in training data when requested by copyright holders and other rights holders who allege infringement. The third principle states that businesses will respond to requests for information from system and service users concerned about copyright infringement.

A Finnish study has found an unexpected association between screen use and cognitive performance. Children who accumulated more screen time as they grew up tended to show better cognitive processing during adolescence. One of the researchers cautions against viewing screen time as entirely harmful and says the goal should be to balance physical activity with screen use that encourages active thinking. […] “The findings suggest that screen time can support children’s and adolescents’ cognitive processing. Presumably, the essential point here is what kind of things they do in their screen time. Teachers and parents should encourage children to use devices and screens in such ways that promote active thinking, problem-solving, creativity and learning,” states Doctoral Researcher Petri Jalanko from the University of Jyvaskyla.

Digital activities that involve learning, creativity, problem-solving, or other forms of active mental engagement could potentially help explain the association observed in the study. “We should not regard screen time solely as harmful but seek balance between physical activity and screen time that promotes active thinking,” Jalanko summarizes. The relationship between physical activity and cognition was more complicated. Among girls, greater amounts of light intensity physical activity since childhood were associated with better working memory during adolescence. Among boys, greater participation in guided physical activity from childhood through adolescence was linked to better working memory.

The researchers also found an unexpected pattern involving unsupervised exercise. Lower levels of self-reported unsupervised physical activity were associated with better cognitive processing in adolescence. By contrast, physical activity and sedentary time measured using a device that tracked heart rate and movement were not associated with cognitive processing. One possible explanation is that these sensors can measure movement and physiological activity but cannot determine exactly what a person is doing during periods of activity or inactivity.