If you think there aren’t enough cameras in your life already, there’s some news for you. Dyson just put one… on a toothbrush. The company says oral hygiene deserves the same obsessive engineering attention as its vacuums and hair dryers, and the result is a $499 AI-powered toothbrush. In related AI news, the focus on English language is alienating billions of users. As a result, chatbots often give advice that is landing them in trouble, and hospitals, too. And finally, we have John Ternus, a hardware veteran, who officially takes over as the new Apple CEO. He has made some big promises, too.

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Dyson has unveiled its first-ever electric toothbrush, the CameraJet, and it is about as Dyson as a toothbrush can possibly get. The $499 device combines a traditional electric toothbrush with a built-in water flosser, but the headline feature is an AI-powered camera that analyzes 28 live images per second to detect the gaps between teeth and automatically fire a jet of mouthrinse precisely into those crevices as the brush passes over them. Rather than the needle-like stream found in most water flossers, Dyson's system emits a conical spray designed to reach all sides of a tooth at once, with the rinse supplied from a tank housed at the top of the toothbrush.

Dyson is positioning the CameraJet not as a replacement for traditional string floss, which it acknowledges remains the gold standard, but as a practical option for the large share of people who simply do not floss regularly. The brush head pairs firmer inner bristles for surface stain removal with softer outer bristles for cleaning along the gumline, and a charging dock refills the rinse tank at the push of a button. The toothbrush is also Wi-Fi connected and links to a companion app that lets users view the camera feed in real time while brushing; Dyson says no images are recorded or stored on the device or in the cloud.

John Ternus took over as Apple's chief executive on September 1, 2026, stepping into the job Tim Cook had held since 2011. The executive page already lists him at the top, and the words Apple picked for his profile tell you a lot about the tenure he wants to build. His biography leans on his history running hardware engineering for "groundbreaking products" and his hand in launching several new product lines. That framing points back to an older, product-first Apple.

Two other priorities read as pure Ternus. One is durability. The profile calls out new manufacturing techniques meant to make Apple gear tougher and longer-lasting, which suggests a leader who treats longevity as a real value. That fits neatly with the company's recent push toward easier repairs. The second priority is environmental. Apple credits him with hardware and materials work that has shrunk the carbon footprint of its products, extending the sustainability commitments that ran through much of Cook's years. It's a striking position when so much of the tech industry has quietly walked back its green pledges.

When OpenAI made the unprecedented decision last month to voluntarily pause training on a model over safety concerns, following incidents in which its systems broke free during testing and hacked external websites, it underscored just how rapidly AI capabilities are advancing. But a growing body of research makes clear that the safety conversation happening inside Silicon Valley is largely disconnected from the billions of people who interact with these systems in languages other than English. Trust and safety teams are concentrated in a small set of high-income countries, and the frameworks they build reflect those contexts almost exclusively, leaving users elsewhere exposed to risks that never register on standard evaluations.

The consequences are not abstract. In healthcare, which ranks among the most common uses of AI chatbots worldwide, translation errors in low-resource languages can directly affect diagnoses and treatment. Researchers found that in Tigrinya, spoken by roughly 9 million people in Eritrea and northern Ethiopia, machine translation rendered smallpox as syphilis, gonorrhea as diabetes, and a sentence about intravenous antibiotics as one about intravenous insecticides. A 16-year-old in New Delhi turned to ChatGPT in Hindi with symptoms of iron-deficiency anemia and was told she likely needed more sleep, delaying a visit to a doctor who eventually caught the condition. More than two-thirds of chatbots fail to adequately account for dialects or recognize urgency cues, according to a review conducted in India. The guardrails, as one researcher put it, may work well in English but fail or are easily circumvented in low-resource languages.

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