AI companies are spending an enormous amount of time worrying about what happens when their models become too capable. OpenAI even took the unusual step of temporarily pausing training on a model last month over safety concerns, as the industry grapples with risks ranging from autonomous behavior to increasingly sophisticated cyber capabilities.

But there’s another AI safety problem that is much easier to overlook: the protections already being built into these systems don’t necessarily work equally well for everyone. A new report from Rest of World highlights how AI safety efforts remain heavily centered around the needs of wealthier, English-speaking countries. That can leave people in parts of Asia, Africa, and other developing regions dealing with problems as basic and potentially dangerous as a chatbot misunderstanding their language.

AI safety can look very different outside Silicon Valley

Many of the biggest AI companies have extensive trust and safety teams, but the standards used to evaluate models are largely shaped in high-income countries. Researchers argue this creates blind spots when the same models are deployed in places with different languages, infrastructure, laws, and cultural expectations. Healthcare provides a particularly worrying example. Research into natural-language AI systems used in Africa has uncovered translation errors involving medical terminology. In Tigrinya, for example, machine translation has confused smallpox with syphilis and even translated “intravenous antibiotics” as “intravenous insecticides.”

The problem goes beyond translation. Research has also found that AI models can hallucinate more frequently in languages with relatively little training data. Safety guardrails that reliably catch harmful requests in English may also perform worse or be easier to bypass in those languages. That matters as people increasingly turn to chatbots for health information and other important decisions. It effectively creates a new AI divide: two people can use the same product and receive very different levels of protection simply because they speak different languages.

AI adoption isn’t waiting for safety to catch up

The timing makes this especially important because enthusiasm for AI is growing rapidly across many of these markets. China offers perhaps the clearest example. We’ve already seen AI adoption spread far beyond tech companies, with everything from schools to local governments embracing the technology. It has even reached Beijing dumpling shops, where one business began giving customers AI tokens and built AI-powered tools for managing queues. That enthusiasm isn’t necessarily a problem. But researchers warn that safety infrastructure needs to expand just as quickly.

Governments are beginning to respond. AI safety has featured in international initiatives including the Bletchley Declaration and this year’s India AI summit, while China has also proposed mechanisms to manage AI risks in developing nations. The larger challenge is making sure “AI safety” doesn’t only mean preventing a futuristic model from escaping its boundaries or launching a cyberattack. For millions of people already using these tools, safety can be much simpler: making sure a chatbot understands their language, recognizes when something is urgent, and doesn’t confidently give them dangerously wrong information. As AI spreads into everyday life, those problems are no longer edge cases. They’re part of what making AI safe actually means.

The takeaway: Discrete graphics processor shipments rose in the second quarter, defying a seasonal slowdown in the PC market and higher component costs tied to memory shortages. The increase is notable because the second quarter is typically slower than the first. It also comes as memory shortages have raised costs for PC makers and consumers, particularly for systems with high-end graphics hardware.appol

Standalone GPU shipments climbed 12.2% from the first quarter and 14.1% from a year earlier, according to Jon Peddie Research. The increase came as the broader client CPU market declined 1.1% year over year and desktop PC demand weakened.

Total consumer PC GPU shipments, including integrated graphics and discrete processors, reached 75.5 million units in the second quarter of 2026. That was up 10.4% from the previous quarter and 1.1% from the same period last year, JPR said.

Notebooks drove most of the growth. GPU shipments for laptops rose 16.8% quarter over quarter, while desktop GPU shipments fell 4%. The pattern matched the client CPU market, where mobile processor shipments increased while desktop CPU shipments dropped sharply from the first quarter.

JPR did not provide a unit total for discrete GPUs. Based on the company’s reported attachment rates, Nvidia’s market position and other shipment data, AMD, Intel, and Nvidia appear to have shipped about 20 million standalone GPUs during the quarter.

The research firm’s figures do not show what drove the increase. It is unclear how much came from desktop graphics card sales, gaming notebooks, or other PC designs that include discrete GPUs. Still, the results suggest that demand for PCs with dedicated graphics held up better than demand for desktop systems overall.

Intel remained the largest supplier in the overall consumer PC GPU market thanks to the integrated graphics in its CPUs. Team Blue had a 56% share in the second quarter, according to JPR. Nvidia ranked second with 23%.

AMD held 21% of the consumer GPU market, up from 14% a year earlier. The gain was tied to increased shipments of its consumer CPUs, which include integrated Radeon graphics. It does not necessarily indicate a similar gain in AMD’s standalone graphics card business.

More details should arrive later this month when JPR publishes its full desktop add-in-board report. It will provide market-share data for AMD, Intel, and Nvidia and should offer a clearer view of how the three companies performed in the discrete desktop GPU market.

Summarizing existing rumors about Apple launching an AI home security camera, a new report says it will be announced in 2027 alongside a monitoring service.

Apple has not had the best luck so far with security devices, having effectively abandoned HomeKit Secure Routers after few vendors supported it. But it was one of several signs that Apple was aiming at the home with secure devices, and there have long been rumors of a full security system.

Now Bloomberg claims to have more details, and a projected launch date. It includes the home security system in a list of products slated for 2027, alongside iPad and MacBook Neo refreshes.

The as-yet unnamed security system is, unsurprisingly, said to be privacy-centric. It’s said to center on AI monitoring the feed from cameras rather than actual video being recorded.

Presumably video recording would cut in if that AI system detects something such as movement within sight of the camera. But the report says only that this will be one element of a home security system that includes a unspecified monitoring service.

Apple has long been planning this

Given that Apple has already added the ability to view feeds from compatible security cameras on Apple TV 4K, little of the report is surprising. At present that Apple TV 4K also effectively acts as a hub for such a system, and of course Apple is also expected to shortly launch a whole home hub.

The point about using AI monitoring instead of video recording is newer, though. It means capturing frames, possibly on the camera itself, and analyzing them on device.

Instead of saving raw video, the camera need only send metadata such as a timestamped record of when someone was spotted. It uses less bandwidth, and it can also be quicker from the moment movement is detected to when an alert is sounded.

It’s previously been reported that Apple would introduce a home security camera before the end of 2026. For at least two years, it’s been believed that Apple was also working on a related video doorbell.

Apple will face competition from many existing devices, but it will also doubtlessly have the advantage that its security camera will fit into its whole ecosystem. Most recently, Anker launched its MindBase smart home system includes some similar features, but no release date or price has been announced.

A woman is robbed after visiting the Apple Store; a fake NFL swindler used apps and FaceTime calls, and an AirTag signal led to the rescue of 20 cats, all in this week’s Apple Crime Blotter.

The latest in an occasional AppleInsider series, looking at the world of Apple-related crime.

Two sentenced to prison for “fake iPhones” scheme

Two of the Chinese nationals who carried out the nine-year scheme to return counterfeit Apple products imported from China to Apple Stores throughout California have been sentenced to prison.

According to The Orange County Register, Wenhui Huang, described as the group’s ringleader, was sentenced to six years and six months in federal prison. Yang Song, described as the second-in-command, received just under five years.

The two were also ordered to pay $16.2 million and 16.9 million, respectively, in restitution.

Both men had pleaded guilty in 2025 and are the last of the six defendants to receive sentences.

Woman robbed after Apple Store visit

A woman who purchased a MacBook and other products from an Apple Store in Houston was robbed soon afterward, after two suspects followed her.

KTRK reports the incident, took place at the Memorial City Mall in late August. The 51-year-old woman was putting her items in her car when a suspect ran up and took a bag.

Surveillance video showed the suspect getting into a GMC Arcadia, and then Flock cameras caught the vehicle at a cell phone repair store. A subsequent traffic stop led to the arrest of two suspects.

Police arrested both suspects and charged them with robbery, and they recovered the stolen items.

Three arrested for stealing iPads from Target

Elsewhere in the Houston area, three suspects were arrested for stealing nearly $14,000 in iPads from a Target in Sugar Land, Texas.

According to KTRK, the three suspects, one of whom was a minor, were caught on store surveillance breaking a display case, taking items, and placing them in a garbage bag before leaving.

Police caught the suspects as they entered a car on their way out, and one attempted to flee on foot but was later caught. The group, the report said, is suspected of involvement in other thefts in the area.

Swindler who impersonated an NFL player used FaceTime calls, apps as part of scheme, prosecutors say

In the high-profile case of a man who impersonated a San Francisco 49ers player and real estate investor in order to swindle women, the man and his accomplice often used three-way FaceTime calls to show off bogus financial gains, federal prosecutors allege.

According to the Justice Department, 35-year-old Daejon Labrayae Love would meet women on dating apps and use fictitious investments to defraud them. Meanwhile 18-year-old Taylor Jamie Chan would pose as his “financial advisor.”

Love also, per prosecutors, “used phone applications to create fictitious bank and investment accounts and balances which Love showed victims to legitimize the scheme.”

The scheme lasted four years, until authorities arrested the two on August 24. They were charged in federal court with conspiracy to commit wire fraud and wire fraud.

AirTag signal leads to stolen truck, 20 cats

A truck was stolen in Tacoma, Wash., in August, containing unusual cargo: Twenty cats. However, the truck contained an AirTag, which led police to the vehicle and the felines.

KIRO reports police followed the signal and discovered the man and woman still in the car, and they were arrested. The female suspect had been attempting to feed the cats with food and water, but they still appeared emaciated and had been exposed to ringworm, police told KIRO.

The cats were taken to a shelter.

“The female [owner of the truck] had mentioned her cats were in the car,” Pierce County Sheriff’s Detective Josh Mills told the radio station. “The deputies asked her, ‘Well, how many cats?’ And she said she wasn’t actually very sure.”

AirTag catches a carjacker in Cleveland

A Cleveland man has been arrested after he allegedly carjacked a woman at a gas station, and an AirTag in the car helped catch him. He’s now been charged in federal court with carjacking and using a gun during a violent crime.

Cleveland.com explains the 24-year-old man admitted that he carried out the carjacking of the 67-year-old woman, and wrote a letter of apology that he asked the FBI to deliver to her.

AirPods help to solve a car theft

When an idling car was stolen outside a Georgia school in mid-August, the crime was soon solved thanks to AirPods left behind in the car and video from a nearby Tesla.

According to Fox 5 Atlanta, a woman had left the car idling outside while bringing her son to school. This gave the thief the opportunity to get in the car and drive away.

The woman’s AirPods, however, allowed police to track the car’s location to a local subdivision, where they found the car abandoned. They discovered that the man had been dropping items, including the AirPods and the victim’s wallet.

The Tesla video had clearly captured the original theft, leading to the man’s arrest.

The man had claimed that he had permission to “borrow” the vehicle, but police didn’t appear to buy that explanation.

Two arrested for stealing MacBook, cars and other items from home of couple that died in Africa

A man and woman were arrested in late August and charged with stealing several items, including luxury cars and a MacBook, from the home of a couple that had been killed the week before in a helicopter crash in Kenya.

According to NBC Miami, the stolen items included a Range Rover and Porsche Taycan, a MacBook, “personal and business documents, jewelry, electronics and artwork.”

They were caught, the report said, after the MacBook and a spare key for the Range Rover were tracked to an address in Hialeah, where some of the stolen items were found. Both were arrested.

The man and woman were charged with burglary of an unoccupied dwelling, grand theft of a vehicle, and grand theft.

The male of the couple, a prosecutor said, had prior convictions for burglarizing homes, money laundering, and dealing in stolen property. While his attorney produced a document alleging that the victims had granted him authorization to use their vehicles, both detectives and a friend of the victims said in court that they believed the document was fraudulent.

UPS employee accused of stealing Apple Watch

A UPS package handler in Florida has been charged with grand theft after trying to steal nearly $2,600 worth of electronics, including phones and an Apple Watch Series 11, from a UPS facility.

CBS 12 reports that, after a tip that the man was hiding stolen items under a yellow tote, supervisors found the packages there. The man typically handled heavier packages and not smaller ones, which drew suspicions, the report said.

A man from New York was arrested in California for what police described as his part in a mobile identity fraud operation.

According to KRON, police say the 30-year-old man came to a Verizon Store in San Mateo, accessed a customer’s Verizon account and used it to “place an unauthorized order for two Apple iPhones.”

After fleeing the store in a U-Haul van, the man was apprehended by police, who used a drone to track him down.

A search of the van, the San Mateo Police Department said, discovered “numerous fictitious identification cards, blank identification cards, an ID card printer, bank cards not belonging to Simemorales, and numerous boxes of unopened iPhones.”

He was charged with identity theft, forgery, and possessing a document-making device with the intent to defraud.

Two more news organizations are suing OpenAI and Microsoft over the supposed use of their journalism to train AI.

A lawsuit filed by The Seattle Times and Newsday argued that with the advent of AI, the journalism industry could become “broken beyond repair.” The lawsuit described generative AI as “a snake eating its own tail” that could “destroy the very organizations” that produce the content it’s trained on.

“AI products like ChatGPT and CoPilot are touted as producers of content, but in fact they are rapacious consumers, devouring human-authored content and delivering back to the world copies and derivative imitations of that same original content they consumed to achieve their commercial objectives,” the lawsuit said.

Back in 2023, The New York Times sued OpenAI and its partner/investor Microsoft over alleged copyright infringement; other publications have followed suit as the case continued. The Seattle Times’ lawsuit is particularly notable because Microsoft and OpenAI have funded some of the organization’s journalism projects and fellowships.

A Microsoft spokesperson told GeekWire that the company is “surprised by the lawsuit” but is “always happy to sit down and explore solutions to this type of dispute.”

Today’s Everton vs Man Utd live streams feature Toffees manager David Moyes trying to put a difficult week behind him as he faces his former club in the Premier League 2026/27 season.

Everton’s chaotic end to the summer transfer window has left Moyes short of bodies in key areas. Following the exits of Iliman Ndiaye, Beto and Nathan Patterson, the signing of USA star Folarin Balogun fell through when the striker decided against a move to Merseyside. The Toffees did manage to get deals over the line for Ainsley Maitland-Niles and Jack Grealish, the latter returning for a second loan spell from Man City, although it remains to be seen if either player will face United. The sour mood belies Everton’s strong start on the pitch, and they will aim to follow the 2-0 home win over Crystal Palace and 1-1 draw at Bournemouth with another positive result here.