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The Oura Ring 4 smart ring is here, and it looks superb

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The Oura Ring 4 smart ring is here, and it looks superb

Following the release of various other new smart rings this year, Oura has announced the Oura Ring 4, the latest generation of probably the best-known smart ring. It comes with a wide range of changes and new features, plus a brand new design.

Prior to the launch, Jason Russell, vice president of consumer software product at Oura, talked to Digital Trends about the ring, giving us some interesting insights into what makes it special.

The Oura Ring 4’s new design

A promotional image of the Oura RIng 4.
Oura

“We have improved the comfort for 24/7 wear, we’ve expanded the size range, improved battery life, and we have this incredible new sensing platform,” Russell told Digital Trends, setting the scene for the critical updates.

The Oura Ring 4 is made of titanium, and this time, the metal extends to the underside of the ring, replacing the epoxy resin used for the previous-0generation models. The dome-like 1.3mm-high nubbins have been removed, and the sensors are practically flat at 0.3mm high, increasing overall comfort. The Oura Ring 4 weighs between 3.3 and 5.2 grams, is 7.9mm wide, and is 2.88mm thick. It’s now available in more sizes, ranging between size 4 and size 15.

It’s available in six different finishes: silver, black, Stealth, gold, rose gold, and brushed silver. The Stealth version has a diamond-like carbon (DLC) coating, while all the others have a physical vapor disposition (PVD) coating for toughness and scratch resistance. However, the underside of the ring isn’t coated, and titanium is hypoallergenic and skin-friendly. The ring has 100 meters of water resistance and is suitable for swimming. Oura claims the battery will last for eight days, up from seven days for the third-generation Oura Ring, and it comes with its own charging plinth, which should recharge a flat battery fully in 80 minutes.

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Upgraded sensors with better accuracy

A promotional image of the Oura RIng 4.
Oura

You may be wondering how the recessed sensors have affected accuracy. Russell explained how accuracy has actually been increased with the new design.

“We designed [the dome sensors] five years ago because of their usefulness for accuracy, and we’ve seen many smart ring makers leverage that same design. You also see some that don’t utilize those domes, which really comes at the expense of accuracy. We’re not willing to sacrifice accuracy, and that’s what’s really remarkable about [the Oura Ring 4] as we’ve lowered the domes, not just while maintaining accuracy, but actually making a huge leap forward using a revolutionary new sensing platform called Smart Sensing.”

The Oura Ring 4 on its charger.
Oura

The Smart Sensing algorithm works with the sensors to gather information across 18 different pathways, up from the eight pathways on the Oura Ring Gen 3. The algorithm dynamically adjusts to find the optimal path for increased accuracy. Oura’s own studies indicate the Smart Sensing platform will return a 120% improvement in blood oxygen sensing, a 15% improvement in breathing disturbance accuracy, and fewer gaps in heart rate recording during the day and night. Russell told Digital Trends that the Oura Ring 4 has new LEDs to go with the new algorithm.

“We really want [the Oura Ring 4] to adapt to you,” Russell continued. “The ring can rotate 30 degrees in either direction, and we can still get a good signal. We address all varieties of finger shape and size and get a good signal on them. The titanium interior is helpful for comfort, but it’s also helping for accuracy as it channels light in a more precise way, as it doesn’t create light diffusion or absorb reflected stray light that could happen with the epoxy material and dome configuration.”

A redesigned Oura app

The redesigned Oura app.
Oura

To go with the new ring design, Oura has also redesigned its companion app.

“We have introduced 24 new features over the last 18 months,” Russell reminded us. “We’re packing a lot in, and it can be overwhelming. We have reorganized the app with that in mind, putting the focus on holistic health and connecting it with short-term metrics used for Readiness and sleep activity and longer-term metrics like cardiovascular age.”

There are three tabs along the bottom of the app: Today, Vitals, and My Health. Notably, shortcut tabs along the top of the Today screen show familiar Readiness, Sleep, Activity, Heart Rate, Stress, and Menstrual Cycle scores, while the main section below shows current biometrics and progress toward your goals. The Vitals screen provides more in-depth data, while the My Health screen has long-term health metrics such as Stress Resilience, Cardio Age, and ongoing trends.

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All features will be available for all Oura Ring members

There are some changes to existing features, too. The Activity feature has gained automatic heart rate monitoring for 40 activities, up from just five before, complete with heart rate zone tracking and V02 Max monitoring. The stress monitoring feature now includes daily movement and activities, plus manually added tags, for a more informative overview of your daily condition. Tags can be added to a timeline, along with photos of meals, which the app will categorize automatically for meal tracking.

Russell also mentioned that a fertility window feature will launch soon, and that all features will be available for all Oura Ring members. The new app will be made available to current Oura Ring owners over the coming weeks, and the previously iOS-only Oura Labs feature is now available for Android owners too. Digital Trends also confirmed there is no change to the subscription cost, which remains at $6 per month or $70 per year. The Oura Ring 4 comes with one month’s free access to the app.

Oura Ring 4 price and availability

A promotional image of the Oura Ring 4's color options.
Oura

The Oura Ring 4 starts at $349 and is available for preorder through Oura’s online store today abd will be ready for release on October 15. It’ll also be available through Amazon and in stores including Best Buy, Target, and John Lewis in the U.K. Oura notes that the Oura Ring 3 will continue to be available to purchase until stock runs out, but we’d recommend buying the latest version unless you find it for a considerably lower price. Oura also has a new sizing kit and recommends you use it even if you already own an Oura Ring, as it says Oura Ring 4 sizes may be slightly different.

Its arrival comes after Samsung released the Galaxy Ring, RingConn launched its updated RingConn Gen 2, and Circular made some changes to its Circular Ring Slim. Oura has long been the benchmark for smart rings, and from what we can see at this stage, it has made significant advancements in all areas, from design to accuracy, to help maintain its position with the Oura Ring 4.

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Oura’s return to the smart ring fight

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Oura’s next-gen ring appears to be an upgrade in every way. It features a sleeker design, longer battery life and smarter sensors to offer deeper insights for wearers. No more squarish edges; it’s a perfect ring this time. Oura says Ring 4 has 18 signal pathways, up from eight in the Gen3, which is paired with its new Smart Sensing algorithm.

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New features include automatic heart rate and activity detection for up to 40 activities. It’ll land in six colors: Silver, Brushed Silver, Gold, Rose Gold, Stealth and Black. All bar the Stealth is made of titanium. Oura Ring 4 is available to pre-order today, with shipping expected to begin on October 15, 2024. Prices start at $349.

— Mat Smith

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Inference framework Archon promises to make LLMs quicker, without additional costs

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Inference framework Archon promises to make LLMs quicker, without additional costs

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Researchers from Stanford University‘s Scaling Intelligence Lab introduced a new inference framework that could help large language models (LLMs) go through potential responses faster. 

The framework, Archon, uses an inference-time architecture search (ITAS) algorithm to improve LLMs performance without additional training. It is model agnostic, open-source and designed to be plug-and-play for large and small models. 

Archon could ideally help developers design AI model systems using multiple inference-time techniques to cut down on models to determine responses. The Scaling Intelligence Lab said techniques like Archon would help cut down on costs related to building models and inference. As LLM development turns toward larger parameters or more advanced reasoning, costs could increase despite companies like OpenAI anticipating more affordability. 

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According to the researchers, Archon automatically designs architectures that improve task generalization, enabling models to perform tasks beyond those they were initially trained on.

“Our Archon framework and ITAS algorithm draw inspiration from neural architectures and neural architecture search, respectively,” the researchers said in their paper. “Archon is constructed of layers of LLMs, in which models in the same layer run in parallel but each later runs sequentially.” 

These layers perform different inference-time techniques, “either transforming the number of candidate responses through generation and fusion (like linear transformations) or reducing the number of candidate responses to improve quality (like non-linearities).” 

Archon outperformed GPT-4o and Claude 3.5 Sonnet by 15.1 percentage points in benchmark tests such as MT-Bench, Arena-Hard-Auto, Alpaca-2.0 Eval, MixEval, MixEval Hard, MATH and CodeContests. When Archon faced open-source LLMs, it outperformed them by 11.2 percentage points. 

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Archon components 

The ITAS algorithm is comprised of several LLM components and can do inference-time techniques. 

The first component is the Generator, which creates possible answers for the model. The second component, the Guser, will take these responses and combine them into one. An example would be if the question posed to a model wants to know the capital of France, the fuser will take the generated responses of “the capital of France is Paris,” France is in Europe,” and turn it to “the capital of France, a country in Europe, is Paris.”

Next, Archon moves to the Ranker component, which ranks the best answers. A Critic component evaluates the ranked answers to determine whether they’re good or bad. The Verifier checks for logic and correctness before moving on to the Unit Test Generator and Evaluator, which do small tests to see if the response works and check the test results. 

By building Archon this way, the researchers said the framework improves the quality of LLMs’ responses faster and without additional fine-tuning. 

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Archon’s limitations

So far, the Archon framework works best with LLMs with 70B parameters or more like Meta’s Code Llama 70B, making it difficult to point to most LLMs right now. The researchers said most of the challenge comes from the smaller model’s limited capabilities to follow instructions due to the smaller context windows. 

“When we utilize the Archon architecture with only 7B open-source models, we get a notable decrease of 16%,” in performance, the paper stated. 

Smaller models using the Archon framework lagged behind single-turn models by 15.7%.

The Stanford lab also said Archon “is not ideal for tasks that prefer the latency of a single LLM call,” such as chatbots. The framework makes multiple LLM calls because of the different operations it does so single question-and-answer queries won’t benefit from its capabilities. Archon may work better for tasks involving complex instructions like solving equations, programming, or even complicated customer service issues. 

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Despite its limitations, the researchers behind Archon said they hope it can accelerate the development of high-performing models without requiring more inference and training capital. 


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Instant harkens back to a pre-Google Firebase

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Instant wants to recapture some of the magic of the pre-Google-acquisition Firebase by building a modern, Postgres-based open source version of it.  

Like the original Firebase, San Francisco-based Instant focuses on giving front-end developers easy access to a real-time database with offline capabilities without the need to manage any of the back-end architecture. The service supports applications written in React, React Native, and vanilla JavaScript. In addition to the database, it also offers tools to manage authentication and permissions, as well as real-time features like shared cursors, presence, and more. 

The team recently open sourced the project. 

Instant was founded by former roommates Joe Averbukh (CEO) and Stepan Parunashvili, who previously worked at companies like Wit.ai, Facebook, Airbnb, and others. 

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At Facebook, Averbukh told me, the architecture was set up to ensure that as a front-end engineer, he was able to move quickly. Meanwhile, at Airbnb, the company’s intricate microservices architecture meant it took a long time to try a new idea. “Thankfully, we already had Firebase inside Airbnb, and we could use it for notifications. So we would actually just use Firebase to prototype these ideas — and that was a huge win,” he explained. 

Image Credits:Instant

Before starting Instant, the co-founders worked on a fitness app, based on Google’s Firebase. While they loved all of the features like optimistic updates and offline mode that Firebase offers out of the box, they missed having access to a relational database since Firebase’s focus is on its NoSQL database. 

“You see apps like Figma, Notion, and Linear — they’re winning the market because of this feature set that they have,” Averbukh said. “And we think that basically, in the same way that apps today are much better than apps before, the expectations are going to rise for what people want in their apps. But the reality is, the way that people build these features today is that they have this whole team that’s building all of these sync services.”

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On Wednesday, the company announced that it has raised a $3.4 million seed funding round. It’s backed by Y Combinator and SV Angel, as well as prominent angel investors like former Firebase CEO James Tamplin, Paul Graham, Greg Brockman, and Jeff Dean.

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“Some mobile and online banking clients experienced an issue accessing their accounts and balance information earlier today,” writes Bank of America media relations executive Matt Card in an email to The Verge. “These technology issues have been fully resolved. We apologize for any inconvenience.”

Reports spiked just before 1PM ET on Downdetector, with posts across X and Reddit from people reporting that their account balances don’t show anything (some mentioned that the amounts they owe, however, appear to be displaying accurately).

We verified this afternoon that the bank’s app was showing customers a notification that “Accounts temporarily unavailable” and that “Some accounts and/or balances are temporarily unavailable,” as reported previously by CNN. Some people have reported their accounts are working or intermittently gaining access to their information, and it’s unclear how many people have been affected. In July, Bank of America said 58 million clients use its “digital capabilities to help manage their financial lives” and that they connected a record 23.4 billion times last year.

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There’s no word on what might have caused the problem, but let us know if things are working for you now.

Update, October 3rd: Added updated Bank of America statement.

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