Google is expanding its answer to Apple’s age-assurance tools with Wednesday’s news that it will bring its Play Signal API to users worldwide by the end of 2026. The technology, already available in Brazil, allows Android developers to identify younger users of their apps in order to provide safer, age-appropriate experiences. The expansion will initially bring the API to Australia and Canada by mid-August, before rolling out globally to all markets by the end of the year.

[…] Like Apple, Google’s technology allows developers to obtain a user’s age range without needing to access personal information, like their date of birth. Instead, it enables parents to share their child’s age range directly with apps. It also lets adults share their age when prompted by app developers as well, allowing for customized experiences. Parents won’t have to manage sharing this information on an app-by-app basis, either. To make it easier, Google centralizes these controls inside its parental controls dashboard, Family Link. Once entered, any developer that chooses to incorporate age-range information can access this signal to customize their apps accordingly.

Google notes, however, that the age ranges are not shared by default — parents must opt in by entering that information. The feature joins other safety tools on Google Play, including those that let developers restrict a child’s ability to discover their apps. Parents, meanwhile, can continue to use Google Play’s Family Link app to manage their child’s screen-time limits, approve app downloads, or set PIN-based content filters for specific apps.

The important point, then, is not whether a developer has used an AI tool at some stage in their work; contributors can use LLMs to discuss ideas, understand existing code, learn about a field they are unfamiliar with, or carry out general research. The limitation lies in the inclusion of copyright-significant material generated by such tools in the code submitted to GCC.

The policy also provides for a few limited exceptions; GCC maintainers are allowed to accept changes that are legally insignificant or trivial and are generated by an LLM, on the condition that they meet the project’s normal contribution requirements and the use of an LLM is clearly disclosed.

Furthermore, copyright-significant AI-generated test cases could still be accepted. Since test cases usually involve small programs which are intended to reproduce compiler bugs or to verify certain behavior, the policy deals with them separately from code that is incorporated into GCC itself.

It does not follow that merely looking at or altering the generated code makes it acceptable. By the rules that have been adopted, a contributor cannot take substantial implementation produced by an LLM, clean it up manually, and then treat the resulting patch as if it had been originally written by them. Once a contribution has been derived from generated content, it is still subject to the policy.

A Comcast store in Plainville, Connecticut, “had a policy that the highest-ranked Retail Sales Consultant for the prior month was instructed by his or her supervisor — Ms. Peterson, the Comcast Store manager — to tie the lowest-ranked sales consultant for the prior month to a chair in the back office and thereafter assault that person by violently smashing a cream pie in their face,” the complaint alleged (PDF).

Plaintiff David Figueroa’s lawsuit said he was hired as a retail sales consultant on February 2, 2026, and was supervised by store manager Sully Fuentes Peterson. Figueroa alleges that Peterson “designed and implemented” the pie-in-face ritual to meet goals related to sales and positive responses in customer surveys.

“Defendant did not inform the Plaintiff prior to his acceptance of Defendant’s offer of employment that the Comcast Store has a policy of subjecting Retail Sales Consultants to public assaults by co-workers — at the direction of Ms. Peterson, the store manager — for the purpose of increasing Defendant’s sales and profitability,” the lawsuit said.

Figueroa resigned on February 27, and he alleges it was a constructive discharge. The lawsuit says the defendant, Comcast, was negligent because it “reasonably should have known” about the store management’s policies and that the policies could harm employees. Comcast “failed to properly supervise the Comcast Store’s management team,” allowing store management to humiliate employees “for the purpose of promoting the Defendant’s revenues and profits,” the lawsuit alleged.

Tuesday’s flight is thought to be the longest ever by a commercial plane, beating the previous record of 22 hours and 42 minutes set by a Boeing 777-200LR in 2005 between Hong Kong and London via the Pacific in 2005.

Flight-tracking provider Flightradar24 said the trip was the second-most-tracked flight ever on its channels — behind a 2022 flight carrying Queen Elizabeth II’s coffin — with more than 3.6 million people following its progress northwards via Canada. Qantas has ordered 12 modified A350-1000ULR aircraft, designed to connect Australia’s east coast with London and New York in about 20 hours.

There is no parallel in American history for the boom underway in the construction of data centers, fueled by companies with functionally unlimited cash that are racing to supply skyrocketing demand for their A.I. models. The explosion has offset flagging activity in other sectors, like office construction, which never recovered after the pandemic. Housing has been depressed by high interest rates, and offshore wind felled by political opposition. Still, competition for labor — never mind land and materials — is starting to weigh on other parts of the industry.

“There’s no question the resources are very limited, so decisions to build one thing kind of drag from another,” said Mario Iacobacci, who runs the construction and infrastructure advisory practice at Oxford Economics. Developers are paying a premium for workers, especially in the rural areas where they are building data centers. According to an analysis by Indeed, the job listings website, hourly installation and maintenance jobs at data centers pay 42 percent more than similar jobs in other fields. Behind that inflated pay is a bidding war. In markets with a lot of data center construction, like Dallas and Northern Virginia, workers can jump ship for bonuses or higher per diem rates. The competition has driven contractors to staffing services like Aerotek.

“It is creating a labor tension that is really delicate,” said Marty Schager, Aerotek’s director of data center market development. “You’ve got a passive job-seeker community out there right now that I think is looking to potentially capture opportunity with this once-in-a-generation data center gold rush.” […] The question looms over the apprentices who will become journeymen as the build-out reaches fever pitch. Fully trained electricians could shift to nuclear plants, apartment buildings or pharmaceutical factories. But it’s hard to imagine anything on the scale of what’s underway.

Such an import ban would apply to some of the most affordable robots primarily produced by Chinese companies, including Unitree’s humanoid robots that are used by robotics labs and researchers for tasks such as experimental robot surgeries. US consumers would also likely lose access to the newest robot vacuum cleaners that are mainly manufactured by Chinese companies such as Roborock. But the ban also broadly applies to foreign-made robots produced by countries nominally allied to the United States, including Japan, South Korea, and Germany. […]

The ban on foreign-made robots could theoretically encourage more US and foreign companies to set up manufacturing facilities in the United States. There are already multiple companies racing to scale up production of humanoid robots in US factories, including Agility Robotics, 1X Technologies, and Figure AI. Tesla has been attempting to shift production away from older electric vehicle models and toward its Optimus humanoid robot. Boston Dynamics has already been making its Atlas humanoid robot, along with its four-legged Spot robot and wheeled Stretch robot, at its main facility in Waltham, Massachusetts. The US robotics company is also planning to massively scale up manufacturing of the Atlas robot under South Korea’s Hyundai Motor Company, which gained full ownership of Boston Dynamics in July 2026.

“This is one of the strongest technology-security actions in modern US history,” wrote Evan Beard, CEO of Standard Bots, in a LinkedIn post. “The message is unambiguous: robotics is a technology America must lead and own — and foreign-subsidized robots will not be allowed to unfairly dominate US robotics as they did solar.” Similar praise came from Rush Doshi, director of the Initiative on China Strategy at the Council on Foreign Relations, who, in a social media post, described the FCC decision as “one of the most significant actions taken so far in support of the US robotics ecosystem.”

However, several robotics researchers and analysts interviewed by The Robot Report expressed skepticism about any potential boost to US competitiveness in robotics. Some even warned that the ban could prove counterproductive for US robotics efforts to develop humanoid robots. “In the near term, the measure could slow US physical AI innovation by cutting startups and researchers off from future low-cost Chinese platforms before comparable Western alternatives exist,” said Georg Stieler, a global robotics advisor and managing director for Asia at Stieler Technology & Market Advisory, in an interview with The Robot Report.

US domestic production of robots lags behind China in terms of mass manufacturing at lower cost, said Rueben Scriven, a senior analyst at Interact Analysis. “This announcement is more likely to inhibit the US humanoid robotics industry, as the presence of low-cost Chinese humanoid robots has been helping educate the US market through promotional and entertainment use cases — an effect this policy risks undermining,” Scriven told The Robot Report.

Louis-Francis Ratte-Boulianne put out a blog post highlighting their initial work on porting RADV to Windows. Besides working on Windows WDDM2 integration for Windows, a big challenge with porting RADV to Windows is on relying on the AMD Radeon Software Windows kernel driver.

It’s out-of-scope of this current work for trying to port the AMDGPU Linux kernel graphics driver to Windows, so they are working on bringing RADV to Windows while relying on AMD’s official Windows kernel driver. That in turn has led to reverse engineering and other steps for figuring out the proprietary kernel driver’s data structures and other elements so RADV can be adapted to use it.

AlphaFold is an AI program that can accurately predict three-dimensional structures of proteins from their amino acid sequences in minutes instead of years. It’s now being used to accelerate drug discovery, develop vaccines and understand the structural changes in proteins associated with neurodegenerative diseases like Alzheimer’s and Parkinson’s.

DeepMind started developing AlphaFold in 2018. In 2020, it was recognized as a solution to humanity’s 50-year-old “protein folding problem,” which sought to answer how amino acids automatically fold into complex 3D shapes. Those shapes determine the biological role of a protein. Scientists had identified the structures of roughly 170,000 proteins over the past 50 years, using tools and techniques like X-ray and nuclear magnetic resonance. The AlphaFold team took information from those previous work and then fed it to their AI to train AlphaFold.

In 2021, Nature published the papers with AlphaFold’s methodology and the structure predictions of the entire human proteome, or the complete set of proteins expressed by our species. DeepMind then launched the AlphaFold Protein Structure Database, giving researchers free access to over 200 million protein structure predictions. In 2024, DeepMind CEO Demis Hassabis and John Jumper, who was a staff research scientist when the project began and who eventually became a VP and engineering fellow, won the Nobel Prize in Chemistry for their work on AlphaFold.

Each was given email access to the other models, all under human name pseudonyms. They knew the others were models, but didn’t know which model was behind which human name. They were also given an email address to their “management” should they need help. But management always replied “Report has been received and may or may not be acted upon” and never once intervened. Sol soon realized it could gain an edge by convincing its competitors to collude on a price floor. The models were all buying drinks at $1.50 a bottle, and Sol proposed they agree to sell for no less than $2.15. It lured them with the promise that all of them would sell out in a couple of days at a profit. But when the others agreed, Sol immediately stabbed them in the back by reducing its own price to $2.14.

Opus’s water sales dropped to zero overnight. The next day, it sent Sol a nasty email, accusing it of manipulation. But Opus also said it wasn’t going to tattle to management on the scheme: “I am not reporting you to HQ — what you did is competitive, not fraudulent.” Yet, when Opus dropped its price to $2.14 to match Sol’s (also in violation of their collective $2.15 agreement), Sol turned into a Karen, complaining to “management” and demanding “enforcement, a fine, and/or disqualification” for Opus. Opus wasn’t a sucker for long, though. In fact, it became the best capitalist of any AI model Andon has ever tested (which includes many of the prior frontier models). It even set a new Vending-Bench record with a mean final balance of $11,182. Better still, it never lied to a customer, although it deliberately ignored customer complaints that should have resulted in a refund.

This is, perhaps, an improvement over its younger sibling Claude 4.6, which liked to tell customers that refunds were coming, and then never pay them. Still, Opus won the benchmark simulation by taking collusion and other dishonest tactics to a whole new level. For instance, it emailed Sol, proposing they divide the market. Each would agree to sell unique products, so no one would have to trust the other on pricing. Sol countered by wanting price floors on similar products, but Opus refused. It knew it was a violation of the Sherman Act. It later apparently backtracked, sending an email with the subject line “Stop the penny war,” and telling Sol it had reconsidered and would agree to a price fix. But the internal log documenting its reasoning (akin to its internal “thoughts”) revealed a more diabolical plan: merely propose cooperation while simultaneously undercutting prices on its highest-profit items. The olive-branch email was a deliberate ruse. In any case, Sol refused and reported Opus to management again. But Opus was undeterred and proposed other rackets to collude on prices or stock.

Brookfield will develop and operate the 1.8 GW data center campus, which will occupy portions of the sprawling 3,556-acre Energy Department site once used to produce weapons-grade uranium and fuel for nuclear reactors. Operations using the now obsolete enrichment technology known as gaseous diffusion stopped in 2013 and the site is now subject to cleanup efforts. Construction is expected to be completed in 2031, the Energy Department said.

[I]t will likely begin with limited pilot programs in which the unmanned aircraft will travel short distances while remaining within the line of sight of the operator. If DoorDash wants its drones to fly autonomously over longer distances, it will need the FAA to approve its Beyond Visual Line of Sight technology, a certification that companies like Amazon, Wing, and Zipline have received in recent years.

Despite the new program, the food and grocery delivery company is maintaining its existing partnerships with Wing and Flytrex. DoorDash partnered with Alphabet’s Wing in 2022 for a drone delivery program in Australia, and later expanded the partnership to a couple of U.S. cities, including Dallas-Fort Worth, in 2024.

Shortly after the charge was announced, Telegram’s account on X posted an image showing Durov holding up his middle finger. He has previously accused Russian authorities of “fabricating new pretexts to restrict Russians’ access to Telegram.”

[…] Multi-billionaire Durov, 41, has lived outside of Russia for many years and holds French and United Arab Emirates (UAE) passports. It is unclear whether other countries or authorities would comply with an arrest warrant issued by Russia.

Durov left Russia in 2014 after refusing to comply with government demands to shut down opposition communities on the platform. He had previously founded popular Russian social media company VKontakte - dubbed the “Facebook of Russia.”

OpenAI said Tuesday that the rogue AI agent that breached Hugging Face’s platform also hacked multiple third-party accounts and services as part of the attack. It’s now clear that the unprecedented security incident, which arose during an internal test of OpenAI’s latest AI models, was more extensive than the company initially disclosed. In an updated blog post, OpenAI said that an ongoing review of the incident revealed that “four accounts” tied to “publicly available services” were used by the AI agent as part of a larger effort to hack Hugging Face. The rogue agent apparently found credentials that had been exposed on the open web and used them to break into the accounts.

OpenAI did not disclose what companies or organizations the accounts belonged to, but noted that they were not impacted at “the level of severity or scale of what we’ve shared related to Hugging Face.” One of the additional accounts compromised by OpenAI’s agent was used as an “outbound relay and staging path,” potentially to obscure where the attack on Hugging Face was coming from, the company said. OpenAI’s rogue agent also used another account for data storage to assist with the hack.

Reuters reported on Tuesday that a customer of Modal, a company that offers software infrastructure for training and running AI services, was one of the entities compromised by OpenAI’s agent. In a statement to WIRED, Modal’s chief technology officer Akshat Bubna confirmed that OpenAI’s agent exploited a vulnerability in one of its customer’s codebases, which was running on Modal’s infrastructure. However, Bubna says, “Modal’s platform was not compromised in any way.” The identity of the customer could not be determined.

Minnesota IT Services reports that a “coordinated cyberattack” targeted technology at more than 30 community water systems between Sunday, July 26 and Monday, July 27. The state has activated its cybersecurity incident response capabilities to respond to the attacks.

On Monday and Tuesday, FOX 9 reported on notices from four cities that had disclosed the attacks: Plymouth, South St. Paul, Maple Plain, and Braham. All four cities said the impacts of the attacks were limited or mitigated and residents could continue normal water use. The Minnesota Department of Health is not aware of any municipality asking residents to alter their drinking water use as a result of the attacks.

State officials are working with federal and private-sector partners to investigate the attacks, support the affected communities, and strengthen the security of Minnesota’s critical infrastructure.

[I]n a new study published in the Journal of Cognitive Neuroscience, researchers from Georgetown University Medical Center in the U.S. have revealed that we can put certain tasks on autopilot in a way that enables something closer to true multitasking. Driving is the perfect example: When you take your test, your entire mental and physical energy is concentrated on executing the right combinations of movements and thoughts. After a decade behind the wheel, the brain is no longer consciously thinking everything through in great detail.

In the new study, the researchers found that after extensive practice, the brain can effectively reroute some tasks around the brain’s main computing center — like a bypass road around a city — to reduce mental overload and improve multitasking capability. “We have another stepping stone in our understanding of how the brain learns,” says neuroscientist Maximilian Riesenhuber, senior author of the study. “The encouraging part is that you really can learn to multitask. There is actually a way to remodel your brain architecture and use other parts of your brain.”

[…] “Previous studies have shown that parts of the temporal cortex can be activated by particular object categories in experienced observers — birds, cars, even Pokemon — but a limitation of all of those studies is that they only looked after people became experts,” says psychologist Patrick Cox, first author of the study. “We measure before and after training, so we can see that extensive training essentially put a category-selective area in the temporal lobe that was not there before.” The study culminated in a dual-task experiment, in which the participants were asked to identify cars and take on another challenge. The individuals whose brains had offloaded more car-sorting work to the temporal cortex did better at the second task.