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Apple Watch Ultra 4 review: Features, Design, Price

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Apple’s new Health Sensing System for Apple Watch Ultra 4 means more accurate and more frequent health metric tracking. It feels like the peak offering of a device before a necessary complete redesign.

Nearly every improvement made to Apple Watch Ultra 4 relates to health, fitness, and the ability to track those metrics. Even the longer battery life was pitched as a way to track metrics over a longer period of time.

Tim Cook may have stepped down as CEO before Apple Watch Ultra 4 was revealed, but it and the Apple Watch Series 12 are clear realizations of his vision. Apple Watch is a health-focused wearable that aims to improve the wearer’s life, and perhaps even save them in emergency situations.

Out of all of Apple’s products, the Apple Watch is perhaps the most mature with very little wiggle room, even when compared to the Apple TV — there just isn’t enough space. That is clear given that even the Apple Watch Ultra 4 gained a gram in weight thanks to the new sensor system.

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The Apple Watch Ultra line appears to be in an even more awkward position compared to the standard “Series” line. It has consistently received all of the updates brought to models like Apple Watch Series 12 (on sale now), but nothing “Ultra” has been added or upgraded since the original model’s launch.

As I pointed out in my Apple Watch Ultra 3 review, it’s still the larger, high-end watch with the most sensors and ruggedness. However, Apple seems stumped on how to iterate on the premium Apple Watch beyond keeping it in lock step with the rest of the lineup.

That said, the 2026 model at least is a significant step forward. Here’s what Apple Watch Ultra 4 offers.

Apple Watch Ultra 4 review: Design

When you’re looking at Apple Watch Ultra 4 on someone’s wrist, you’ll never guess which generation it is from design alone. Apple has stuck with the same design since the original launched, though the black option did arrive as a change in gen 2.

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Apple Watch Ultra 4 with brown leather band resting sideways on a black metal railing, showing a square face, speaker holes, and a prominent orange side button against a blurred green background

Apple Watch Ultra 4 review: Same design, color, and orange Action button

Flip it on its back and you’ll see a significant difference thanks to the new Health Sensing System. Apple has replaced the sensor stack with updated components for more frequent and more accurate readings.

The electrodes are larger, which surround the photo diodes where green LEDs are shown through to collect data. This all fits in the Apple Watch, though there has been a weight increase of about 1.4 grams.

It’s such a small change that I haven’t noticed a difference.

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The display is identical across generations, you’re getting the same 100m dive spec, and it is still a titanium case with orange accents. I do think Apple could have made a statement with a new case color or design tweak, but that wasn’t for this year.

Apple Watch Ultra 4 review: Features

Much of what was introduced in Apple Watch Ultra 4 and Apple Watch Series 12 is tied to the updated Health app coming in iOS 27.2. I’ve tested the Watch with and without this update, but I won’t spend too much time on the app itself here.

Close-up of a Apple Watch Ultra 4 hanging by its brown leather strap, showing the rounded metal back, sensors, and an orange side button against a blurred outdoor background

Apple Watch Ultra 4 review: Every upgrade can be tied to S11 and new sensors

All of the metrics that matter most on Apple Watch saw a boost with the new system. These upgrades come at no loss of battery life, and even then, Apple says the battery life has increased in the latest generation.

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Here is every new feature for Apple Watch Ultra 4:

  • Health Sensing System
  • Second-generation electrical heart sensor
  • Always-on optical heart sensor
  • Improved step tracking
  • Recovery HRV
  • High-frequency background heart rate tracking
  • HRV in the Vitals app
  • Audio Intelligence
  • Single-tap gesture

There’s also the new Readiness app, but I’ve not had enough nights of data collection for it to show anything just yet. It gathers data over a week, and as this is published, it has been a week since getting the device. I’ll discuss Readiness when I write more about the new Health app, which deserves its own full breakdown.

All of these new sensors add up to a new health-forward platform that should excite anyone that likes putting data in databases. Your heart rate is read every five seconds and HRV data is collected every five minutes.

Heart Rate Variability has become a popular way to measure a person’s overall health, mostly due to products like the Whoop health band. Apple already collected this data, but it is putting it front and center with the Apple Watch Ultra 4.

Three smartphones display colorful health app screens showing a sleep score, resting heart rate of 66 with a large heart icon, and fitness aging score, against a bright coral background

Apple Watch Ultra 4 review: Feeding more data into Apple Health

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I personally don’t care about any individual health metric, but the idea of getting more data that’s more accurate is appealing to me. I want my new Apple Health app with Apple Intelligence to have every bit it can to help with my health journey.

I don’t feel the need to detail every Apple Watch Ultra feature, as they should be fairly well-known by now. It’s a rugged smartwatch that can withstand extreme conditions, has a siren for emergencies, can make emergency calls via satellite, and has a much longer battery life than standard Apple Watches.

Apple Watch Ultra 4 has identical wireless specs with Wi-Fi 4, Bluetooth 5.3, and 5G.

The Apple Watch Ultra 3 was my first Apple Watch Ultra, so I broke down the smaller details in that review. That’s the thing — Apple’s Ultra updates lack new “Ultra” features, so rehashing identical feature lists seems redundant.

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Close-up of a person's wrist wearing an Apple Watch Ultra 3 with a colorful circular digital dial, seen outdoors with raindrops on the skin and a blurred green background

Apple Watch Ultra 4 review: This is an Apple Watch Ultra 3, but you wouldn’t have known that without being told

The base feature set exclusive to Apple Watch Ultra hasn’t changed since the original model beyond satellite connectivity. I’m glad Apple has added the S11 and the benefits provided by that chipset, but we’re not seeing anything else.

That chipset is what enables many of the upgrades without sacrificing battery life. The S11 has a neural engine derived from the A20 Pro used in iPhone 18 Pro (check deals), which enables new AI features.

A boost in battery life

That battery life is particularly impressive with Apple Watch Ultra 4, as it gained about 8 hours in regular use. Previously, Apple Watch Ultra could last about 42 hours without a charge, but now it’s 50 hours.

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Apple Watch Ultra 4 on a person's wrist displaying battery status at 46 percent with a green progress bar and charging details on a dark screen in a softly lit indoor setting

Apple Watch Ultra 4 review: Battery life for days

That takes it well over the two-day without-charging threshold. For most people, that should mean taking it off to charge while showering should occur at some point in that 50 hours.

And yes, charging in the shower is more than enough time to top off the battery. Get 80% battery in about 45 minutes or fast charge for just 15 minutes for 18 additional hours of use.

I take a long shower and don’t rush to put the watch back on, so that’s more than enough time to get the battery somewhere near 100% every day or two. It may be the “rugged” or “adventurer” Apple Watch, but I am willing to bet much of the sales of Apple Watch Ultra comes from people seeking longer battery life.

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That said, it is quite the smartwatch for athletes. Apple says that people running a 100-mile race have enough battery life to log the entire race in workout tracking mode.

There’s not much more lengthy or demanding than that in sports.

Using Apple Watch Ultra 4

You know the drill, this is an Apple Watch. It may have a more rugged case and the addition of an Action button, but it’s a nearly identical experience in most use cases to standard models.

Apple Watch Ultra 4 with a dark screen showing 7:01 and fitness icons, attached to a brown leather band, resting on a metal railing with a blurred green background

Apple Watch Ultra 4 review: It’s still an Apple Watch through and through

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I was worried about Apple Watch Ultra having too big a case or being awkwardly large or heavy on my arm. Thankfully, I was wrong on all counts.

Apple’s lack of significant upgrades year-over-year in several Apple Watch cycles left me believing that 2026 would be the year I could skip an update. If anything, the update this year is far mor significant than the 2025 model, which of course meant another upgrade for me.

I’m not an athlete, I don’t climb mountains in sub-zero climates, and I don’t dive deep into the ocean with a scuba tank. Nope, I’m your average, could be in better shape, work from home, desk worker.

The longer battery life, larger display, Action button, titanium build, and additional features are all attractive and useful to me. It is why I went Ultra the moment we got a black color and new chip generation, and I expect that’s the case for many people.

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Apple Watch Ultra 3 on the left, Ultra 4 on the right, standing upright on an orange surface, showing their circular sensor backs, with a wooden tray and blurred gadgets in the background

Apple Watch Ultra 4 review: More accurate health sensors that track more often

I’m sure there’s a better use of the Action button, but I’ve kept it mapped to opening Workouts. It lets me quickly start a walking workout each day, which is something I’m trying to do regularly.

The new Siri Modular watch face is nice. I’ve begun using it for my personal watch face, while Wayfinder remains excellent for my work face.

I’ve already begun incorporating the new Apple Health app into my daily routine. I check it for health insights, trends, and am making changes to my life to try and meet certain goals.

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This review isn’t the place to get into all of that, but I do think the new hardware capabilities and the Apple Health upgrades will be excellent selling points. It’s not that I don’t know how to be healthy or eat right, but having these apps and devices laying bare my exact health metrics and how to improve them, it’s hard to ignore.

More on that soon.

Absent Audio Intelligence

I really wanted to write about these controversial new AI features introduced in Apple Watch Ultra 4. Unfortunately, they’re not here yet, not even in beta.

A person wearing an Apple Watch reads a restaurant notification listing daily specials, with another hand touching the screen while seated at an outdoor table with plates in the background

Apple Watch Ultra 4 review: Audio Intelligence isn’t available yet

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One neat feature enabled by the more powerful chipset is the new near-instant Shazam music recognition. I can raise my wrist, double tap to open the Smart Stack, and the first item in my stack is usually Shazam, which quickly shows whatever song is playing around me.

The single tap gesture works when selecting items in Smart Stack or clicking buttons shown on the display. It doesn’t always work, but I appreciate the new gesture.

Anyway, Siri AI is fast and accessible on Apple Watch Ultra 4. I asked several world knowledge questions, some personal based on data from Messages, and both worked great.

It’s a very similar experience to what you’ll find on iPhone. I asked what was for dinner, which is in my Calendar, then I asked if it was a healthy meal.

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Then, I asked when my friend’s birthday is and what gifts it would recommend. While the recommendations were a bit silly, I appreciate that it was able to do these queries at all, let alone on an Apple Watch.

Apple Watch Ultra 4 with a black rectangular screen on a person's wrist, showing colorful circular app icons including fitness, weather, and activity rings, against a blurred outdoor background

Apple Watch Ultra 4 review: The new Siri app is front and center in watchOS 27

Audio Intelligence is going to be quite the interesting feature to test. I’ve had mixed reactions from various people in my life that I’ve described it to.

It’s what you would expect — some call out the potential utility while others see the obvious potential for abuses. We won’t know what this will and won’t enable until it can be tested.

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So, as much as I’d like to have something to say about the feature, that’ll have to wait for another day. I do believe what Apple has on offer in the 2026 Apple Watch generation should make any AI wearable company at least a little nervous.

Apple’s new health mandate

Increasingly, it feels like Apple’s messaging around Apple Watch is “if you don’t wear Apple Watch, you could die.” It’s a terrific if terrifying prospect for many reasons.

Hand resting on a railing, wearing an Apple Watch Ultra 4 and dark ring, holding a burgundy iPhone 18 Pro with three rear cameras against a blurred outdoor background

Apple Watch Ultra 4 review: Another cog in Apple’s AI and health machine

Apple Watch Ultra 4 lasts longer than ever when worn, so you don’t even need to charge it before sleeping most nights. Every bit of data will help you meet your goals, so every second without an Apple Watch is a missed opportunity to prove to the Health app how well you’re doing.

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I know that some people will find that disturbing, while others will find it enticing. I personally can appreciate the motivation that logging, aggregating, and viewing data can bring, with the added bonus of it not being sold, so bring it on.

Apple Watch Ultra 4 isn’t necessary to take advantage of the upcoming Apple Health app updates, but it’ll provide a more accurate, more constant series of metrics. I can easily highly recommend the Apple Watch Ultra 4 to anyone that cares about health, fitness, or wearable AI tools.

Apple Watch Ultra 4 – Pros

  • Exceeding two days of battery on a single charge is amazing
  • Health Sensing System means more accurate, more frequent data
  • S11 provides a more native-feeling Siri AI experience
  • Rugged, durable, and includes the useful Action button

Apple Watch Ultra 4 – Cons

  • Apple still hasn’t bothered with new “Ultra” features
  • The overall Apple Watch experience doesn’t differ much from the regular Apple Watch beyond what improved specs bring
  • Audio Intelligence isn’t available to test and remains quite controversial as a feature

Review: 4 out of 5

If you’re wondering exactly how an Apple Watch Ultra might get a perfect score, it would be a redesign in addition to useful new features making Apple Watch Ultra more than just an Apple Watch with titanium and a larger screen. We’ve got some great health upgrades, AI features, and more battery life, but you wouldn’t know, and can’t tell that it’s new.

Design isn’t everything though. Apple needs to give Apple Watch Ultra users new Ultra-focused features as well, which is the main issue.

Otherwise, this is a great Apple Watch upgrade and I can easily recommend one, even if you’re coming from the previous model. It just needs more in 2026.

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Where to buy the Apple Watch Ultra 4 at a discount

The Apple Watch Ultra 4 is on sale now, with prices dipping to as low as $779.99 at Amazon at press time.

You can compare the latest Apple Watch Ultra 4 prices and deals across popular retailers in our Price Guide as seasonal sales pop up.

Limited inventory remains on the last-generation Ultra 3, with closeout deals at your fingertips in our Apple Watch Ultra 3 Price Guide.

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Microsoft may have just pushed Copilot into a completely different phase of its AI ambitions

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  • Home puts chats, delegated work, and Office documents inside one interface
  • Code lets non-programmers describe software and have Copilot build it
  • Autopilot can continue recurring work without waiting for another instruction

Microsoft has introduced a redesigned version of its Copilot AI platform which claims to combine chat, delegated work, and coding tools into a unified application experience for users.

The company says the update is meant to let individuals and organizations scale artificial intelligence across everyday tasks and long-term projects.

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How To Get Started With Shortcuts On Your MacBook

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Automate your Mac with ease using Shortcuts and Apple Intelligence.

Shortcuts has been available on Mac since macOS Monterey, but it’s one of those utilities many Mac users have never explored. At first, it can seem too complicated. You have to know which actions to choose and how to connect them, then hope it all works. 

But macOS 27 Golden Gate changes that with Describe a Shortcut, which lets you type exactly what you need and have Shortcuts do the heavy work for you with AI. It doesn’t always work, but it makes the app much easier to use — especially if you’re not an expert.

If you’re not familiar with Shortcuts, it’s an automation tool where you create scripts to handle tasks on your devices. Apple’s own example is a shortcut that texts your spouse with an estimated arrival time based on traffic when you’re leaving work. But you can get much more complex, like a shortcut that checks your calendar and the weather to give you a summary of what to expect today. 

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There are many possibilities, and now with macOS 27, it’s much easier to master the app.

Creating shortcuts on your Mac is easy

Creating a new shortcut takes a few seconds. Open the Shortcuts app on your Mac and click the Plus button to enter a prompt. The more details you provide, the more likely the app is to get your shortcut right. A command like “Clean up my Downloads” might be too vague for the app to understand what you really want. Instead, try something like “Every Friday, move anything in my Downloads folder older than 30 days into a folder called Archive.” You’re more likely to end up with a working shortcut when you provide clear details.

This is a good example of how Shortcuts are helpful for tasks you often forget to do; no one really cleans out their Downloads folder unless they’re trying to free up space. Plus, you can check the result right away by opening the folder and looking at what moved. If the shortcut moved too much, re-enter the prompt with even more specific details. 

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A shortcut can also be great for summarizing long text with Apple Intelligence. Try something like “Take the text on my clipboard, summarize it in three sentences and save it to a new note.” Then copy a long article or an email, run the shortcut and you’ll have the short version in Notes.

Make your shortcuts easier to reach

If a shortcut isn’t part of your normal routine, chances are you’ll forget about it after a while. Thankfully, you can assign a keyboard combo to a shortcut, or pin it to the menu bar, so you’ll never forget it. 

Choose the shortcut you want to adjust and click Edit. Go to the Shortcut Details menu (the one with the information icon) and select Add Keyboard Shortcut. To add it to the Control Center or menu bar, open Control Center on your Mac (at the top-right) and select Edit Controls. There, all you have to do is add the action from the Shortcuts app, and you’re all set. Exploring the Automation tab is also a good idea for creating a seamless workflow of shortcuts that run on their own when you need them.

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Shortcuts isn’t the only element in macOS 27 that acts on your behalf. Visual Intelligence has its own key combo: Shift + Command + Space. After pressing this, select a window on-screen and have Siri answer questions about it or take action, like adding an event to your calendar. Try it on an email with a date buried in it, for example. Siri can also run your shortcuts via voice, speaking of which.

Shortcuts and Siri AI require Apple Intelligence, which means you need a Mac with an M1 chip or later — Intel Mac users are out of luck. Also, some limits may apply when using Apple’s AI models in Shortcuts. More complex prompts could reach a limit faster.

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Peak XV ups Surge seed investment ceiling to $5M, unveils 18-startup cohort

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Peak XV Partners, one of the largest venture capital firms investing in markets including India and Southeast Asia with more than $10 billion in assets under management, has increased how much it invests per startup through Surge, its seed-stage investing platform, as it unveils a new cohort of 18 companies.

At least three of the companies in this cohort had already raised outside funding, in some cases from Peak XV itself, before joining Surge.

The new batch, called Surge 12, is the first to operate under Peak XV’s higher investment ceiling of up to $5 million per company, up from $3 million previously. The venture firm invested more than $50 million across the cohort, which has collectively raised over $90 million in seed funding, according to Peak XV. Its median investment per company has also increased, though the firm declined to disclose the figure.

“The bar to raise a Series A has gone up pretty significantly,” Rajan Anandan (pictured above), managing director at Peak XV, said in an interview. He added that the firm is also seeing more capital-intensive companies, particularly in deeptech, that are raising larger rounds at the seed stage.

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Surge has become more global with each cohort, Anandan told TechCrunch, with its latest group spanning founders and companies from San Francisco to Sydney. Just five of the 18 startups in Surge 12 are focused on the Indian market, while more than half of the companies are based in India. The remaining 13 target global markets, highlighting the difference between where the companies are built and where they expect to find customers.

Since its launch in 2019, when Peak XV operated as Sequoia Capital India and Southeast Asia, Surge has backed more than 180 startups founded by entrepreneurs representing more than 18 nationalities. Peak XV says the 10 largest companies to emerge from those cohorts now generate more than $1 billion in combined annual revenue.

Peak XV Surge 2026 cohort
Surge founders at the Peak XV U.S. Immersion 2026Image Credits:Peak XV Partners

Anandan described Surge as one way Peak XV invests at the seed stage, alongside its standard seed investing, while the firm still remains an investor as companies progress through later funding rounds. The founders it backs typically include repeat entrepreneurs, experienced operators, and highly specialized technical founders, he said, with about 50% to 60% of a typical cohort made up of people coming from operating roles at established technology companies.

This cohort’s startups span AI, robotics, space, consumer products, healthcare, music, and fintech, ranging from AI safety and personal computing to autonomous robots built for underground pipes and satellites designed to detect radio-frequency signals from orbit.

The Surge 12 cohort

Alma — founded by Nischith Shadagopan M N and Vinod Ganesan — is building a personal computing platform focused on making computer use faster and more affordable. Its founders previously worked at Microsoft Research and were founding engineers at Sarvam AI, a Bengaluru-based startup building AI models for Indian languages.

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August AI — founded by Anuruddh Mishra, an IIT-BHU alumnus who started the company in 2022 after a personal medical misdiagnosis — provides a healthcare platform that combines AI with physician-led care, reaching over 9 million users across 160 countries.

Ditto — founded by UC Berkeley dropouts Allen Wang and Eric Liu — works as an AI dating matchmaker inside iMessage, aimed at helping college students turn digital introductions into in-person connections. (TechCrunch wrote more about this one last month.) The company had already raised $9.2 million in a Peak XV-led seed round announced earlier this year.

GameStock — founded by Antoine Mistico, Easton Dana, and Vivek Indlebele Narasimha Prasad — brings competition mechanics to financial markets, turning investing and trading into a more competitive experience. Mistico is a two-time founder and former professional baseball player.

HiLoop — founded by Jad Ghalayini, Karan Brar, and Thomas Boser — helps AI companies adapt general-purpose open-weight models for specific applications using its post-training platform. Its founding team includes former Reducto engineers and a Cambridge computer science PhD who completed his doctorate at 24.

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Hoola Health — founded by Deeksha Senguttuva — focuses on care for children and their families, providing consultations, vaccinations, medicines, diagnostics, developmental therapy, and dental services on a single platform. Senguttuvan grew up around healthcare, as her family built and operated a hospital group.

Kello — founded by Mona Gandhi and Subramanya Jingade — is building an AI-powered talent-discovery platform focused on identifying a candidate’s potential and trajectory rather than relying primarily on conventional credentials. Gandhi says she was Airbnb’s first female engineer and she previously founded Upraised, while Jingade previously co-founded AmbitionBox.

Kindling — founded by Adam Miller and Sachin Shah — is building what it calls a “storytelling operating system” for technology startups, using AI to help companies develop and produce their communications and content.

Puralink — founded by Harrison Crowe-Maxwell, Shyeon Delnawaz, and Thien “Long” Tran — is developing autonomous robots that can navigate underground pipe networks. Crowe-Maxwell has been building robots since childhood and turned university research into the patented drive technology behind the startup.

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Reinforce Labs — founded by Anish Das Sarma — is developing tools to evaluate, red-team, and remediate enterprise AI systems. Sarma previously founded a company acquired by Airbnb and later served as a director at Google, where he led AI and machine-learning teams.

Riffle — founded by Anurag Choudhary and deo — is building a browser-based platform where musicians can create, collaborate on, and share music, reducing the need to move between separate tools during the creative process.

Rosella — founded by Chris Dwyer and Sean Stuart — is building an AI-native commercial insurance brokerage for U.S. businesses, using AI to automate parts of the traditionally manual process of finding and placing business insurance. Rosella raised a roughly $2.5 million pre-seed round led by Peak XV and Intact Private Capital earlier this year.

Tribe Money — founded by Himanshu Arora and Nikhil Shanker — gives an AI-powered personal finance platform that helps users track their money, research investments and make investing decisions.

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ULOOK — founded by Adheesh Boratkar and Siddhesh Ravindra Naik — is building autonomous satellite systems for radio-frequency sensing and spectrum intelligence, targeting customers globally. Its founders have worked on more than 12 satellite missions. The company had already raised roughly $2.3 million in seed funding from growX Ventures and InfoEdge Ventures before joining Surge.

Wingit — founded by Nikunj Kothari and Saksham Khandelwal — is building a beauty platform aimed at India’s growing premium-consumer market. It is focused on how consumers discover and shop for higher-end beauty products.

Three other startups in the cohort have yet to publicly reveal their names or products. Peak XV said they are working in education, applied AI, and medical products.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

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The Metric Is Not The Mission: When The Maps Became The Territory

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The Metric Is Not the Mission is a ten-part examination of how Big Tech moved from building and expanding the open internet to increasingly shaping it around its own metrics, incentives and assumptions. Across the series, the argument follows the evolution of the platform economy—from the optimism of the early internet to the growing tensions around power, prediction, geopolitics, accountability and the future of digital life.

The series will be published in two parts each week over five weeks, with each installment building on the one before it. At the end of the series, the complete essay will be brought together in a single PDF edition, providing the full argument in one place.

Part III: When the Maps Became the Territory

In Part II, the story turned on a crucial distinction: measuring behavior is not the same as understanding people. Part III takes that idea further, examining what happens when the platforms’ representations of the world begin to substitute for the world itself.

There is a curious tendency among successful technologies to disappear. Not physically, of course, but cognitively. Once they become sufficiently embedded in everyday life, they cease to be experienced as technologies at all. Electricity is no longer a marvel of engineering but an expectation. We do not admire the plumbing each time we turn on a tap, nor do we reflect on the extraordinary complexity of global logistics every time fresh fruit appears on supermarket shelves in the middle of winter. The greatest infrastructures become invisible because they succeed so completely that we mistake them for part of the natural order.

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The internet reached that point sometime during the second decade of the twenty-first century. Yet something else happened along the way that proved far more consequential. As the network itself faded into the background, the platforms through which most people experienced it moved decisively into the foreground. Increasingly, users no longer spoke about “going online.” They spoke about opening an app.

That linguistic shift deserves more attention than it usually receives. Language often reveals structural change before statistics do. To “browse the web” implied movement across an open landscape whose boundaries were undefined. One followed links, discovered obscure websites, stumbled upon ideas that had not been recommended by anyone, and occasionally became gloriously lost. The experience resembled wandering through an unfamiliar city with no particular destination in mind. Serendipity was not a flaw in the architecture; it was one of its defining virtues.

Applications altered that relationship almost without anyone noticing. They replaced geography with destination. Instead of entering a network whose possibilities remained unknown, we entered environments that had already been organized on our behalf. The internet did not disappear, but it became increasingly hidden beneath layers of interface, recommendation and curation. Like passengers traveling through an airport without ever seeing the city beyond the terminal, we continued moving through digital space while encountering only the carefully managed environments that had been prepared for us.

This transformation is often described as an inevitable consequence of convenience. While accurate in its own right, this explanation offers an incomplete narrative. Convenience was certainly the language through which the platforms justified many of their design choices. Friction was treated as the great enemy of the digital age. Every additional click became an obstacle to be eliminated. Every decision that users might otherwise make for themselves could instead be anticipated by software. Recommendation replaced search. Autoplay replaced choice. Infinite scrolling replaced endings. The future, we were told, belonged to experiences so seamless that they would feel almost effortless. And they did.

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It is difficult to criticize convenience because convenience is genuinely valuable. Few people wish to return to an internet in which finding information required memorizing obscure web addresses or navigating labyrinthine directories. The platforms did not succeed by forcing people into inferior experiences. They succeeded because, for many years, they built better ones.

Yet convenience has always carried an intellectual cost. Every technology that removes friction also removes moments of deliberation. The elevator spares us the staircase but also the awareness of distance. Satellite navigation ensures that we rarely become lost, while quietly diminishing our ability to construct mental maps of the places through which we travel. Streaming services relieve us of searching for entertainment, but in doing so they also shape the boundaries of what we are likely to discover. Every act of technological simplification transfers a small measure of agency from the individual to the system.

The internet had originally been built on a different assumption. Its underlying protocols did remarkably little. They did not decide which website deserved prominence, which ideas should travel furthest, or which communities ought to flourish. Their genius lay precisely in their restraint. They created conditions under which others could innovate without first requesting permission. The web itself functioned less like a product than like a constitutional order: a simple framework within which extraordinary diversity could emerge.

Platforms gradually adopted the opposite philosophy. They did not merely provide the rules of the game; increasingly, they became active participants in every interaction taking place within it. They selected what deserved attention, inferred what users might prefer before users themselves knew it, prioritized certain relationships over others and determined, through millions of microscopic computational decisions, the contours of everyday experience. The architecture became less constitutional than managerial.

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There is an illuminating parallel here with the history of cities. The most enduring cities are rarely the ones that have been planned in every detail. They are those that accumulated layer upon layer of human activity over centuries, adapting continuously to changing needs without ever fully surrendering their unpredictability. One finds unexpected bookshops beside cafés, workshops hidden behind apartment blocks, public squares appropriated for demonstrations one week and festivals the next. Their vitality emerges not from perfect organization but from the freedom they grant people to appropriate space in ways that planners never anticipated.

Shopping malls operate according to an altogether different logic. They are meticulously designed environments in which every entrance, corridor, sightline, and seating area has been carefully considered. Music, lighting, and architecture work together to produce an experience that feels spontaneous while being anything but. There is comfort in their orderliness. They are clean, efficient, and reassuringly predictable. Yet no one mistakes a shopping mall for a city. Its purpose is not to cultivate civic life but to optimize a particular set of behaviors within a privately governed space.

The analogy is imperfect, as all analogies are, but it captures something essential about the transformation of the internet. The early web invited participation because it remained fundamentally unfinished. It assumed that users would contribute to shaping it. Today’s dominant platforms present themselves as complete worlds. Participation still exists, but it takes place within boundaries established elsewhere. Users generate the content while the architecture remains firmly in corporate hands.

Perhaps this is why the language of “community” has begun to feel strangely hollow. Communities, in the classical sense, are rarely designed. They emerge through shared experience, mutual obligation, and a degree of unpredictability that no algorithm can fully reproduce. Platforms, by contrast, increasingly treat community as an engineering problem to be optimized. They recommend friendships, suggest conversations, rank relevance, suppress friction, and amplify interaction according to models whose objectives are necessarily commercial because the organizations that develop them are commercial enterprises.

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None of this should be understood as an accusation of bad faith. Many of the engineers responsible for these systems genuinely believed they were improving people’s lives. The difficulty lies elsewhere. Every large institution eventually begins to confuse the optimization of its own internal metrics with the fulfillment of its original purpose. Universities sometimes mistake publication counts for scholarship. Hospitals occasionally confuse efficiency with care. Governments become preoccupied with administrative process rather than public service. Technology companies are no different. The indicators that make sense within an organization slowly become proxies for the world outside it. The metric is not the mission. This is the point at which the maps begin to replace the territory.

The extraordinary quantities of behavioral data collected by digital platforms produce an understandable confidence. When one can observe billions of interactions each day, it becomes tempting to believe that society itself has become legible. Human behavior appears measurable, predictable and, increasingly, governable. The platform begins to resemble reality because so much of reality passes through the platform.

Yet the map is never the territory. It captures what can be measured, not everything that matters. A map records roads but not the reasons people travel. It identifies cities without conveying the lives unfolding within them. Likewise, recommendation systems observe behavior with astonishing precision while remaining largely indifferent to experience itself. They recognize patterns without necessarily understanding meaning.

That distinction mattered little while the platforms continued solving the problems that had made them indispensable. It becomes far more consequential once they begin confronting a world that no longer resembles the one for which they were originally designed. Because societies have changed; politics has changed; and, the internet has changed. The question is whether the companies that grew powerful by interpreting one era have noticed that another has already begun.

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Konstantinos Komaitis, PhD, is a veteran of developing and analysing Internet policy to ensure an open and global Internet.

Filed Under: behavior, big tech, metric not mission, open internet, optimization, platforms, understanding

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Boox Announces the Picco, Its Smallest E-Reader Ever (2026)

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While smartphones won’t stop getting bigger, e-readers seem to be getting smaller. Boox has been at the forefront with one of the most popular small e-readers, the Boox Palma, and now it is adding an even smaller model.

Boox announced the Picco, with preorders opening today. Its screen is just under 4 inches (3.97 to be exact), making it about the size of a playing card. It’s even smaller than the Xteink X4 Pro I tested earlier this year, which has a 4.3-inch screen (but just slightly larger than the 3.7-inch Xteink X3), and considerably smaller than the upcoming Boox Palma 3’s 6.19-inch screen. I liked the size of the Xteink in my hand, but navigating the interface and getting books were challenging, so I’m excited to see another option in that smaller size from a maker with more accessible ebooks (though still not as convenient as a Kindle or Kobo with their built-in stores).

The Picco will cost $100 and is expected to ship in November. I’ll be testing it soon, but in the meantime, here are the details if you’ve been eyeing a tiny e-reader.

An E-Reader for Productivity

Boox Announces the Picco Its Smallest EReader Ever

Courtesy of Boox

The Boox Picco has a monochrome screen with a resolution of 235 pixels per inch and an adjustable front light that switches between warm- and cool-toned lighting. The microSD card slot supports up to 2 TB of flash memory storage (a 16 GB card is included). There are both a touchscreen and physical page-turning controls, thanks to the buttons on the side of the device. The case has a magnetic ring so you can attach it to the back of a smartphone, though I’ll have to see how well it fits when I test it, as I had mixed results attaching an Xteink to my phone due to both fit and magnet strength.

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Courtesy of Boox

Boox says the Picco will have a streamlined operating system focused on reading and digital utility tools. It’s also the first in what Boox calls its Tiles lineup, which is how you’ll access ebooks on this device. You can also use web and USB-C file transfers (the Picco has Wi-Fi and Bluetooth connectivity) to get ebooks onto the Picco. The Picco also has the Pomodoro, Todo, and Countdown apps, so you can use it as both an e-reader and a productivity gadget—handy, and a bigger motivation to keep it attached to the back of your phone even when you aren’t reading.

I’m intrigued to see it in action. Boox’s most popular e-reader could become the Picco over the Palma 3, but we’ll have to wait for both devices to become available to see which is the better buy. Stay tuned for my reviews of both when they come out.


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Discord Is Testing A Lightweight Mode To Free Up Resources While Gaming

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But a Chromium-based design means it can only be so efficient.

Discord is working on a new mode for its social platform that it says might be less resource-intensive. Screenshots of an option called Game Mode began circulating on social media over the weekend. The description shown for the Game Mode toggle states that it will “Reduce Discord’s CPU and GPU usage while a game is running.” By making the chat platform less resource-intensive, concurrently running software should be able to run more smoothly.

Today, the company confirmed on X that this experimental mode will begin rolling out to its users next week. The brief official announcement about Game Mode added that Discord is “aiming to add more resource-saving features over time.”

Discord is based on the Electron web app framework, which uses Javascript and Chromium for creating software. The open-source Chromium, which is the basis for Google’s Chrome and several other browsers, is not known as the most efficient tool for web development. A feature like Game Mode could offer some performance improvements, especially while also running a beefy AAA game on the same machine, but there may only be so far that Discord will be able to streamline on its current architecture.

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Meta-Led Anti-Terrorism Group Faces Mass Resignation of Expert Advisers

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Six of the nine independent experts on the advisory board of the Global Internet Forum to Counter Terrorism—a consortium run by several of the biggest US tech companies—resigned on Monday, according to a letter seen by WIRED and interviews with three of the people.

The tensions between the independent advisory committee and the GIFCT date back to an email the counterterrorism and free speech experts received in July from Meta’s Nell McCarthy, a vice president overseeing content policy. For years, the group had advised the GIFCT on how to prevent platforms from becoming havens for the radical organizations and individuals blamed for some of the world’s worst mass violence.

But McCarthy wrote that while the consortium welcomed the experts’ insights on violent trends, it no longer desired their scrutiny on the effectiveness of Big Tech’s efforts to curtail violence. Meta and other leaders wanted to “refresh” the 6-year-old independent advisory committee the experts sat on, she wrote. Meta currently serves as chair of GIFCT’s operating board, giving it outsized influence over policy changes, though other companies on the panel must ultimately approve.

New additions to the rotating advisory committee had previously been elected by current members; under the plan laid out in July, they would instead be picked by tech companies. The committee would be barred from weighing in on key topics such as the consortium’s performance and making recommendations together as a group. Its role as a watchdog would be neutered, advisers believed.

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In their resignation letter, the departing members of the committee wrote that their appeals against the plan had been “ignored” and that, in turn, they had “lost confidence in the GIFCT’s ability to deliver effectively on its founding mission” to prevent terrorists from exploiting online services. “We all know that a body that cannot scrutinise, take a position, or evaluate is not an advisory body at all,” the letter stated. “It is decoration and accountability theatre.”

Meta deferred comment on the resignations to the GIFCT. An unsigned statement sent to WIRED by a GIFCT spokesperson on behalf of the consortium’s leadership and the Meta-chaired operating board says the proposed changes have been “informed by several rounds of feedback” and are not yet final. They came out of discussions on “how to more effectively engage civil society and governments for substantive input” as “multi-stakeholderism is a core principle” for the GIFCT.

The consortium has about 35 members; other long-time board members include Microsoft and YouTube. A small staff alerts members to violent content, helps them exchange threat intelligence, and commissions research on countering extremism. While the coordination has helped some platforms combat problematic content, critics believe the group isn’t living up to its potential.

A WIRED investigation in 2024 uncovered several issues with GIFCT, including Meta delaying TikTok’s membership bid and poor relations between the companies at the helm and the unpaid independent advisory body. It also revealed failures in the tip-sharing database the consortium oversees to coordinate takedowns of problematic content.

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The dismantling of the advisory group threatens to deteriorate the organization’s work further at a time when balancing free expression and online safety has become more challenging. Generative AI tools have simplified content creation but imposed limited guardrails.

Extremist content, including some that is now AI-generated, that promotes organizations such as Islamic State remains a persistent issue. Newer nihilistic collectives have turned to AI-supported scams such as sexploitation to coerce young victims into carrying out violence and abuse. Several AI chatbots have been accused of facilitating violence.

“A Shame”

The experts who resigned include university researchers and representatives of civil society organizations. They had agreed with McCarthy on the need for changes to improve the results of the decade-old anti-terrorism consortium. But they believe the proposal, which could be finalized soon, amounts to a step backward.

“There won’t be critical voices raising concerns about what GIFCT is doing or is not doing,” one of the departing experts says. “It may seem politically convenient for them to abolish the independent advisory committee, but they are going to regret it in the longer term.”

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SpaceX’s Latest Starship Mission Reached Low-Earth Orbit

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The successful mission also deployed 26 of SpaceX’s latest Starlink satellites.

For its 14th flight, SpaceX’s Starship powered by its Super Heavy megarocket has entered low-Earth orbit for the first time. SpaceX kicked off this major undertaking early Monday morning but had to deal with some hiccups on the way, including losing one of its six Raptor engines. Ultimately, SpaceX decided to push on with the mission and successfully reached orbit albeit with some compromise.

SpaceX originally planned to have Starship orbit Earth six times over a span of nearly 10 hours for the Flight 14 mission. With one of the engines offline, the plan changed to only spend approximately three hours in orbit before reentering the Earth’s atmosphere and landing in the Pacific Ocean. As part of the same mission, SpaceX managed to deploy 26 of its Starlink V3 satellites into orbit. SpaceX said that its Starlink team has made contact with all newly-deployed 26 satellites in orbit, which will eventually be used to improve Internet speeds for customers. While previous Starship missions also carried several V3 satellites, they only remained in suborbital space and served as test flights to see if the new satellites would connect to the existing Starlink constellation.

While Starship’s flight 14 marked a major milestone of reaching orbit, the mission also served as a test of the reusability of its Super Heavy rocket. After providing the necessary boost to Starship, Super Heavy landed in the Gulf of Mexico, where it will eventually be retrieved, but not by a launch tower‘s “chopsticks” as previously demonstrated.

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Jet Megatextures Demo For ESP32-S3

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Mipmapping is a good way to add a lot more detail to a 3D scene without overburdening the rendering hardware with detail that won’t be seen by the user. This level-of-detail rendering technique was demonstrated on the N64 console hardware a few years ago by [James Lambert] with [Michael Biggins], also known as [PhonicUK], now demonstrating it on the ESP32-S3 using his own Jet rendering engine.

Although level-of-detail rendering really speeds things up, it does also require far larger texture sizes, with [James]’s N64 demo taking up 40 MB of a 64 MB cartridge. To fit it on an ESP32-S3 with 16 MB of PSRAM and no SD card expansion or such the textures were further compressed to use 8-bit indexing, resulting in a mere 5.01 MB of textures.

There’s a demonstration video over on the associated Reddit thread, which shows the camera moving through the scene. Even if not as exciting as the Wipeout port by [Michael] that we previously covered, it does make clear that even without a proper 3D GPU the ESP32-S3 is already a pretty capable gaming machine that can go toe-to-toe with some 1990s consoles.

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These Extremists Are Running for Election in November

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There are five weeks left until the midterm elections, and extremism is on the ballot in much of the US. A WIRED review of candidates running for statewide and federal positions in November, along with exclusive data on candidates running for state-level positions, reveals hundreds of Republican candidates who openly express virulently hateful ideologies, share racist content online, have close ties to white supremacist and antisemitic figures, and are members of far-right groups online. President Donald Trump and his administration have openly embraced, endorsed and defended many of these candidates.

At a local level, over 500 candidates running for state legislator positions in November are members of far-right groups on Facebook that promote militias, gun rights, and Christian nationalism, according to data collected by the Institute for Research and Education on Human Rights and shared with WIRED.

While many extremist candidates—such as groyper James Fishback and antisemitic influencer Dan Bilzerian— didn’t make it through GOP primaries, many made it to the general election, and a number of them are expected to win.

“The candidates are taking a page out of the Trump administration’s playbook,” Luke Baumgartner, a former research fellow at George Washington University’s Program on Extremism, tells WIRED. Baumgartner claims that many of the candidates running in November have been inspired by those in the White House. “In essence, the executive branch has handed them a permission slip to say and do what would have been unthinkable during the George W. Bush, McCain, or [Mitt] Romney eras of the GOP,” he says.

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Extremist rhetoric has led to real world political threats. In 2025, terrorism and targeted violence incidents rose 19 percent compared to 2024, according to researchers at the University of Maryland; the US Capitol Police reported an increase in “threat assessment cases” against members of Congress for the third year in a row, with a 58 percent increase from 2024; and the US Marshals Service documented threats against almost 400 judges, a roughly 5 percent increase from the previous year.

Here are five races involving candidates who have shared extremist ideologies or have close ties to extremist figures, that WIRED is watching ahead of the November midterms.

The Texas Railroad Commissioner Race

MANSFIELD TEXAS  APRIL 15 Tarrant County Republican Party Chair Bo French speaks during a rally on Tuesday April 15 2025...

Photo-Illustration: WIRED Staff; Getty Images

Bo French, the GOP candidate for Texas Railroad Commissioner, is so extreme that Republican strategist Karl Rove has said he would vote for a Democrat rather than supporting a “bigot.”

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