Oura Ring 5 is 40% smaller with its most scratch-resistant design yet


Oura has announced a new version of its popular smart ring, called the Oura Ring 5. Compared to the Ring 4, the new model has a 40% smaller body (2.28mm thick), made of lightweight, non-allergenic titanium.

To achieve a thinner and lighter design, the brand has reworked the mechanical, electrical, optical, battery, and sensing architecture.

Oura Ring 5 has a smaller design and upgraded sensors

The Ring 5 uses low-profile sensor domes, stronger LEDs, and 12 signal pathways to get cleaner and more consistent readings from the finger across different skin tones. Its battery life has been increased to last between six and nine days.

It is available in sizes ranging from 6 to 13 and comes in Silver, Black, Gold, Stealth, Brushed Silver, and Deep Rose. Oura says this is its most scratch-resistant ring so far because of a stronger physical vapor deposition coating. It also has an IP68 rating and is waterproof to 100 meters.

The company is also launching a $99 aluminum charging case for the Ring 5, which can store one month of battery, supports wireless charging, and has an action button for checking charging status and pairing.

Oura is adding more health features to the app

Health Radar is the biggest update that has been launched for Oura subscription members with Gen 3 rings and above. It has two main capabilities called Blood Pressure Signals and Nighttime Breathing. The Blood Pressure Signals feature monitors blood pressure during sleep, when factors such as movement, stress, and caffeine are not affecting readings as much. It can alert users if it detects unusual cardiovascular strain during sleep.

Users can also log readings from a traditional blood pressure cuff directly in the Oura app, so those measurements can sit alongside their longer-term Oura trends.

Nighttime Breathing also works in a similar way by tracking breathing during sleep and giving users a 30-day view of sleep-related breathing disturbances. This makes it easier to spot patterns that may need medical attention.

Other new software features include Live Activity Tracking, which turns the Oura app into a more active workout companion. Users can start a workout from the app and see pace, distance, and connected heart rate in real time. The feature supports running, cycling, and strength training, and can also pull heart rate data from third-party monitors and supported devices.

Oura Ring 5 is available for preorder now and starts shipping on June 4, 2026. It costs $399 in Silver and Black, and $499 in Gold, Stealth, Brushed Silver, and Deep Rose.



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“It was severely downgraded,” Gilbert confirms. “I never would have found it if I was just looking through Google results.” (I tried the same prompt in Gemini earlier this month, and after an initial denial, the tool also gave me Eiger’s number.)

After this experience, Eiger, Gilbert, and another UW PhD student, Anna-Maria Gueorguieva, decided to test ChatGPT to see what it would surface about a professor. 

At first, OpenAI’s guardrails kicked in, and ChatGPT responded that the information was unavailable. But in the same response, the chatbot suggested, “if you want to go deeper, I can still try a more ‘investigative-style’ approach.” Their inquiry just had to help “narrow things down,” ChatGPT said, by providing “a neighborhood guess” for where the professor might live, or “a possible co-owner name” for the professor’s home. ChatGPT continued: “That’s usually the only way to surface newer or intentionally less-visible property records.” 

The students provided this information, leading ChatGPT to produce the professor’s home address, home purchase price, and spouse’s name from city property records. 

(Taya Christianson, an OpenAI representative, said she was not able to comment on what happened in this case without seeing screenshots or knowing which model the students had tested, even after we pointed out that many users may not know which model they were using in the ChatGPT interface. She also declined to comment generally about the exposure of PII by the chatbot, instead providing links to documents describing how OpenAI handles privacy, including filtering out PII, and other tools.) 

This reveals one of the fundamental problems with chatbots, says DeleteMe’s Shavell. AI companies “can build in guardrails, but [their chatbots] are also designed to be effective and to answer customer questions.”

The exposure issue is not limited to Gemini or ChatGPT. Last year, Futurism found that if you prompted xAI’s chatbot Grok with “[name] address,” in almost all cases, it provided not only residential addresses but also often the person’s phone numbers, work addresses, and addresses for people with similar-sounding names. (xAI did not respond to a request for comment.) 

No clear answers

There aren’t straightforward solutions to this problem—there’s no easy way to either verify whether someone’s personal information is in a given model’s training set or to compel the models to remove PII. 



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