AMD CEO Lisa Su stated in the company’s quarterly earnings call on Tuesday that Q3 2026 was “was the largest and most profitable in our history.” AMD reported a document $13.4 milliard in quarterly revenue, and it’s predicting it volition hit another document elevated next fourth of $17 billion. The company’s data center endeavor is driving that growth, alongside $8.5 milliard in data center quarterly income for Q3 2026. Su stated AMD’s expecting its income to “grow additional than 80 percent in 2027,” adding that “data center volition be the largest contributor.”

Eventually, most of AMD’s income power arrive from its data center business. In reply to a inquiry during Tuesday’s earnings call, CFO Jean Hu said, “Looking onward of 2027, we really think our data center endeavor volition be additional than 80 percent of total business revenue.”

As of Q3 2026, approximately 63 percent of AMD’s net quarterly income was from its data center business. Over the final brace years, jumps in the company’s income have been closely mirroring its data center endeavor — in Q3 2026 its general income went up $1.9 billion, during its data center income went up $1.8 billion.

As AMD keeps smashing its data center income records, its gaming endeavor dropped 40 percent compared to final year, dipping to $773 million. PCs, equivalent consoles, and another tech have been hit alongside cost hikes complete latest months because of shortages of RAM and another components, driven by petition from AI data centers. The deficit power not end anytime shortly — Intel stated it’s not expecting the deficit to improve next year, and SK Hynix predicted it’ll last until 2030.

Su acknowledged the cost hikes, saying, “Our perspective is, this is one of those times — when, you know, component prices go up, it affects general scheme pricing. One would anticipate the person markets to be additional delicate to that, and so we have seen a bit of a slowdown in the sell-through.” Su added, “We are preparedness alongside the current surroundings for a downward twelvemonth for 2027.”

On October 23, 2026, the incredible happened. It was expected to be a uncomplicated formality: C++26 was up for a ballot by the ISO National Bodies (NBs). The options are continually approval, rejection, or abstention. Comments are additionally allowed. Since 1998, this procedure had run quietly and smoothly. Not so on October 23, 2026. After a twelve-week voting period, the outcome is in: Disapproved!

I would akin to citation current that I am a associate of the C++ Standardization Committee and, together alongside my colleagues, portray Germany’s vote. ISO rules additionally stipulate that certain votes are inner to ISO, and the results—or the breakdown of the results—may not be published. This part contains my own individual views.

The Current Status

As far as I know, this is the archetypal period in the former of C++ that DIS ballot failed. When I searched the ISO system, I could lone discover one another DIS that was not approved: ISO/IEC DIS 26926 C++/CLI Language Specification dated August 11, 2006. It’s imaginable that my hunt privileges aren’t adequate to perspective everything, but all ISO programming languages have to be apparent to me. The sad end of ISO/IEC DIS 26926: the project was halted. I citation this upfront to explain the importance of this vote.

In the following, I volition use assorted conditions from mundane ISO terminology. At https://isocpp.org/std/iso-iec-jtc1-procedures, there is an overview of the assorted stages of an ISO standard. DIS is the penultimate stage. As the overview additionally shows, a two-thirds bulk is required. This bulk was not achieved.

The logic for the rejection is fairly apparent from the comments submitted by the National Bodies (NBs): contracts. Put simply, a figure of NBs accept that this characteristic is not yet prepared for release.

The Process

Now it gets complicated. The C++ Standardization Committee, additionally known as WG21, follows ISO rules but additionally has several additional rules. One of these is (or was) that opinions are continually heard whenever new data becomes available. If an opinion was heard and a characteristic was nevertheless not changed as desired, the individual respects the outcome and accepts that many others disagree.

However, the voting build at the NB flat may additionally comprise of another individuals, or the NBs are, of course, liberated to ballot differently.

The former custom was that NBs would lone ballot against a norm if new data became accessible or if errors in the procedure or akin issues were identified. This changed on October 23, 2026.

It’s difficult to fairness in this complex situation; the NBs who desire C++26 without Contracts contend that there is new information. I myself discover it difficult to portion this view. A new document alongside old arguments is not new data to me.

The History of Contracts in C++

The characteristic has been on the desire catalog for a lengthy time. I was already in the area in Cologne rear in 2019, at the period for C++20, whenever Contracts, in a distinct form rear then, were being included in the standard. I was additionally in the area whenever the characteristic was removed from C++20 again during the identical meeting. As a result, a study collection was cast to location the topic of Contracts and its assorted aspects from 2020 to about 2024. Afterward, the study collection submitted its activity and proposals to the Evolution Working Group (EWG), the chief build for tongue extensions. There, the topic was discussed additional complete multiple meetings before being included in C++26 by a bulk vote.

In the next step, WG21 voted on the C++26 outline in March 2026, which included Contracts. Here, too, a ample bulk was achieved, although not without dissenting votes.

And that brings us to the next phase: DIS. At this stage, there were adequate “no” votes that a two-thirds bulk was not reached.

What happens next?

The big problem: what happens next? ISO, of course, has a procedure for this. It offers assorted options:

1. Submit a revised outline for a new DIS vote.
2. Submit a revised outline to the commission (that would be the CD phase).
3. Publish a revised outline as a Technical Specification.
4. Cancel the project.

All of these possibilities average a postpone in the next C++ standard. Whether it volition motionless be called C++26 is additionally up in the air, but that’s a much smaller issue.

The difficulty alongside all four options is that they necessitate a bulk inside WG21. However, this operating collection voted to move C++26 with Contracts into the next voting phase foremost to its release. And it did so alongside additional than fair the required two-thirds majority. The characteristic didn’t arrive out of nowhere, either; it was developed complete the way of years through the activity and perchance individual dedication of many people. It’s difficult to ideate that this collection would merely desire to forsake its work, which has received endorsement on multiple occasions so far. The identical applies to the collection that is dissatisfied alongside Contracts. This group, too, has invested effort, in several cases equal in substitute implementations. It’s difficult to ideate that, following these groups voted “no” in the DIS vote, the outcome would alter without Contracts being removed.

Even the final choice removing C++26 requires a bulk in WG21. As I comprehend it, this stage would average reverting to C++23 and hearing to C++29 without a sole change. This would power the activity of equal additional people. WG21 would afterward be tasked alongside incorporating features that have already been successfully included in C++26 into C++29. Since this can lone be done through a document backed by at smallest one individual advocating for it, features could be omitted if that individual lacks the motivation or time.

Of course, certainty concerning the voting outcome can lone be achieved if the corresponding way is really taken.

Unfortunately, the way onward is currently additional than uncertain. Perhaps this additionally explains why ISO/IEC DIS 26926 marked the end of this activity. Consensus is needed to move forward. Trust is continually required for consensus. Unfortunately, that rely has fair been shaken.

The next C++ standard, and thus the forthcoming of C++, is currently at an impasse.

The fine news is that the next gathering volition obtain location on November 16, which is fair a few days away. The top precedence volition be to interrupt the deadlock. This volition extremely apt have implications for C++29 as well; in fact, there is currently no logic to continue operating on this project.

My Personal Opinion

Normally, my articles are technically focused and liberated of individual opinion. Regarding the rejected DIS, I can lone say that I regard it a enormous catastrophe and awareness apologetic for the complete C++ community. Regardless of whether person likes Contracts, considers them important, or sees important weaknesses in them, the topic has been worked on for years and has received a bulk ballot multiple times in its current form. By voting “no,” an established system, one based chiefly on rely and respectful collaboration, has been shaken. Every ISO norm is a set of compromises. Everyone loses sometimes, and everyone wins sometimes. Overall, the outcome is one in which all participants have stated their best. During the DIS vote, the losing parties refused to obtain their loss. The inquiry that chiefly determines how to move forward is whether the collection can rebuild trust.

Andreas

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People, including on this staff, keep asking me alongside varying degrees of excitement or trepidation whenever the AI bubble volition burst. I’ll inform you what I inform them: If I knew that, I would create a life-changing bet on the market, levered up as far as I could, and then, following I made my money, go quit on a coast somewhere. Maybe run a cat sanctuary, who knows.

What I can inform you is that I peruse alongside involvement a narrative in Bloomberg this morning: “Wall Street CEOs, Big Money Managers Divided Over AI Risks.” The narrative itself is a roundup of material stated at the 2026 Global Financial Leaders’ Investment Summit in Hong Kong. Here’s what caught my attention: The CEO of Pacific Investment Management Co. — that’s PIMCO, the legendary association resolute — told listeners that there’s going to be a downturn in the AI market “and afterward things are going to break.”

The PIMCO CEO — his name is Emmanuel Roman, but his job is what matters current — has estimated that the AI buildout could create $2 trillion in financing needs complete the next five years. The complete total US association market is concerning $12 trillion.

It’s not fair PIMCO urging caution. Apollo Global Management, which lately had been talking alongside SpaceX concerning a $40 milliard part deal, is additionally alert of AI risk. Apollo chairman Jim Zelter told analysts today that during he expects community volition use “dramatically additional computing power in the future” and that AI is improving quickly, there is motionless important uncertainty. “What we don’t cognize is how pricing and economics volition evolve.”

This is what I average whenever I say “I don’t know.” I do think, though, that item important — PIMCO’s Roman singled out US charge hikes, war, or a eurozone emergency as possible triggers — could flip this market. We’re not in go-go-go district now. Maybe that volition change; it’s imaginable Anthropic’s IPO volition go blockbuster and it’ll be akin whenever person rolls up to a gathering that’s operating low on ale alongside a 24-pack. But as additional group are expressing alert — and particularly after the catastrophe at Situational Awareness — the finest part of the gathering power be over.

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One of the finest headphone deals correct now is for my favorite headphones: Sony's 1000X sequence has been about since 2016, alongside all new example improving on the former iteration, the latest being the Sony WH-1000XM6, released in 2025. These are the best over-ear headphones I tested in 2025 (or ever, really). Right now, you can get the WH-1000XM6 headphones for $378 (originally $459.99), their lowest cost ever, according to price-tracking tools.

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The XM6 headphones enhance on what were already outstanding headphones. Sony upped the figure of microphones from eight to 12 whenever compared to the XM5, which improves additional than fair how fine you audio to person on a phone call. The microphones are used in nearly all of its features, akin ANC, Adaptive Sound Control, and the headphones' Ambient Sound mode. They comprehend your surroundings to modify their features accordingly. If you toggle from a noisy area to a quiescent one, the XM6 can toggle from ANC to conscious manner (if you have Adaptive Sound Control on).

These headphones have a lot additional features that you can nerd out on in their companion app. The audio norm is second to none, alongside the completely customizable EQ giving you plentifulness of options to get the audio how you akin it. I really akin being capable to see what codec you're listening to in the app's chief menu. That way, there's no guessing if you're getting the finest audio norm or not. They volition provision you 30 hours of power division existence alongside ANC on and 40 hours of beverage alongside ANC off. There's an AUX (3.5mm) jack for wired listening, which is a nice contact for audiophiles who motionless rock iPod Classics (or is that fair me?).

The XM6s were not fair the finest headphones of 2025, but are motionless the finest ones of 2026 and apt to be the finest ones for years to come. For $378, you'll be securing the finest for a record-low price.

For Mehul Nariyawala, a family product’s costly error was the jumping-off item for a $20 myriad company. Nariyawala had a $1,000 robot vacuum, which he watched demolish a rug in his residence during he was away. The device had mighty suction but wasn’t intelligent adequate to liberated itself from the rug. It got stuck, kept running for 45 minutes and tore distant a place of the rug.

“That was a realization that, Wow, this item is really stupid,” Nariyawala tells Entrepreneur in a new interview. Worse, he established that many robot vacuums could not reliably come back to their own charging docks. “To me, it’s an oxymoron to call these things robots since if it’s a robot and it can’t equal discover its own dock, what fine is it?” he says.

That irritation planted the kernel for Matic, the home-robotics business Nariyawala co-founded alongside CEO Navneet Dalal following the brace remaining Google Nest in 2017. Nariyawala is Matic’s president. Their goal was not merely to create another robot vacuum. It was to build a device that could safely and quietly navigate the disturbance of an genuine home, avoiding pets, toys, cords, spills, furnishings and the group moving through it.

Nariyawala says Matic has sold additional than 13,000 robots since its November 2024 launch, generating an estimated $15 myriad to $20 myriad in revenue. Matic’s robot vacuum expenses $1,495. Nariyawala stated the business employs concerning 110 group and is aiming to market 30,000 robots by year-end.

Outlining the problem

Before they started construction Matic, the co-founders did item small glamorous: They wrote a 21-page “problem memo.”

Instead of jumping to a solution, Nariyawala says, they asked what customers disliked concerning current products, why robot vacuums unsuccessful them and what a genuinely helpful residence robot would need to do.

“We fair kept going again and again and again at all flat until we deeply understood the problem,” he says.

That procedure eventually produced Matic’s archetypal product, a privacy-focused robot vacuum designed about device vision, on-device handling and a additional human-like understanding of a home.

Start alongside the problem

Nariyawala’s way to Matic began in India, anywhere he grew up. He moved to the United States in elevated academy and attended the University of Maryland for undergraduate studies. After graduating in 1999, he joined a startup based in Northern Virginia that burned through $30 myriad in 11 months.

“It turned out to be a spectacular failure,” he says. “That was my how-not-to-ruin-a-startup 101.”

After a stint in consulting at Accenture and an MBA from Chicago Booth, Nariyawala joined Like.com in 2005, an first Silicon Valley computer-vision startup. There, he met Dalal, a investigator and engineer whose doctoral activity became influential in the site of traditional device vision.

Google acquired Like.com in 2010. Nariyawala and Dalal afterward cast Flutter, a gesture-recognition startup that let group authority iTunes and Spotify using a webcam. Users could motion to alter a opus or create a shushing motion to mute audio. The app reached No. 1 in Apple’s Mac App Store in 73 countries in 2012, according to Nariyawala.

But the founders learned a crucial merchandise lesson: A flashy interface does not necessarily create a business.

“No one wakes up in the dawn and says, ‘Today I’m gonna buy gestures,’” Nariyawala says. “It’s a really chill app but not necessarily a product that can potentially create revenue.”

Another acquisition

Google acquired Flutter in delayed 2013. The founders afterward moved to Nest, anywhere Nariyawala led products in the Nest camera portfolio, including the Nest Cam, Nest Hello bell and connected devices. Dalal led awareness and computer-vision activity on the identical set of products.

At Nest, Nariyawala learned that a merchandise is additional than its hardware or software. It encompasses all item a client encounters the company, from learning concerning the merchandise to purchasing, onboarding, receiving assistance and deciding whether to remain loyal to the brand or not.

“One of the biggest learnings there was that it’s really fair concerning the complete cognition of the product,” he says.

Customer support, he argues, is particularly crucial for an costly person device. “When they attain out to you, that’s the archetypal period they’re gathering humans rearward Matic,” he says. “How we react to that is really really, really critical.”

A privacy-first approach

Matic’s founding idea grew from the two expert cognition and family life. While operating on Nest cameras, Nariyawala noticed that many indoor cameras were pointed outside. He could personally relate. His spouse had done the identical thing, and following leaving Google, he says she did not desire any indoor cameras monitoring their home.

“That’s whenever I realized that for her, privacy mattered,” he says.

The founders concluded they did not desire to commerce distant privacy merely to automate a family chore. They wanted a robot that would procedure its understanding of the residence locally fairly than run akin an always-recording cloud-connected camera.

“As fathers and homeowners, we don’t desire to jeopardize privacy fair to keep our floors clean,” Nariyawala says. “Why would I invitation item that is record them and putting it out onto the cloud?”

The brace saw a broader chance in the gap between the robotics ambitions emerging in self-driving cars and the mediocre achievement of family cleaning robots. If companies believed they could create vehicles capable of safely navigating roads, Nariyawala wondered, why was no one making a family robot that could move through a living area without crashing into objects?

Matic’s distinctive answer to cluttered homes

Nariyawala says that homes are among the most difficult environments for robots since they are cluttered, dynamic, and extremely personal. Furniture shifts. Lighting changes. Children depart toys out. Pets cross a room. A cord may be on the flat one day and gone the next.

Matic’s answer was a vision-based scheme built about two RGB cameras and local computing. Rather than use the flat, circular form average in robot vacuums, the business opted for a taller device that gives its cameras a additional helpful viewpoint of the room.

“We wanted to build a advantage point that was much additional akin a individual crawling child,” Nariyawala says.

That idea reflects Dalal’s broader philosophy: Do not bet against nature. Human beings study to perceive their surroundings before they study additional complex skills, Nariyawala says. Young children study anywhere they can walk, what they should avoid, how to get from one area to another, and how not to autumn downward stairs. Matic’s first activity focused on giving a robot several of those same foundational abilities.

“The indoor earth is entirely built by humans for humans,” he says.

Self-funding the company

Nariyawala and Dalal did not immediately seek project funding. Having founded companies before and seen what happens following an acquisition, they wanted to build Matic for the lengthy haul. Their ambition extended beyond cleaning floors.

“We’re really construction the Apple of residence robotics,” Nariyawala says.

That long-term vision informed an different first decision. The cofounders self-funded Matic for approximately its archetypal twelvemonth and a half. They accepted not to lift exterior chief until they had a operating prototype and had addressed important specialized risks.

“Raising backing is never easy, but whenever you have gone through an exit and you try to do a second startup, it is slightly easier,” Nariyawala says. “But since it’s slightly easier, you don’t really expend additional time thinking through and evolving your idea, and that sometimes plays a catastrophic [role].”

The squad focused on proving key capabilities: degree awareness using two cameras, sound and motion recognition, quieter cleaning and a wheel-base design. Its archetypal prototype arrived in 2018. By fountain 2019, it had developed an first display in which a individual could conversation to the robot, item to a disorder and inform it to spotless a particular spot.

Only afterward did the founders begin raising money. “Venture chief funding, or organizational funding, is akin missile fuel,” Nariyawala says. “The finest period to go get missile fuel is whenever your missile is prepared and docked.”

In 2019, Matic attracted first funding from entrepreneurs including Jack Dorsey, Stripe cofounders Patrick and John Collison and Nest cofounder Matt Rogers.

A longer journey than expected

Matic has raised $115 myriad in exterior funding to date, alongside additional individual funding from the founders.

The journey took longer than planned. The founders initially idea they power container about 2020 or 2021. Matic instead began shipping in November 2024.

In August, the U.S. Federal Communications Commission (FCC) banned foreign-made advanced robots, including robot vacuums. The ruling prohibited new foreign-made models from getting forthcoming import and revenue approval.

Nariyawala says that the ban does not power Matic and alternatively makes it “easier” for the business to build robots in the U.S. From day one, the business has been focused on safety and privacy, he says. Their existing robot is already grandfathered in for transaction in the U.S., and their next set of robots is heading in the correct direction to move through the FCC ban. The business is resolute to origin its components in the U.S.

“We cannot justify the safety and privacy of the robot unless we collect it in the United States,” Nariyawala says. “So for us, designing and assembling it current and putting all the application current was not an optional thing. That was item we continually wanted to do, and we did that from 2017 onwards.”

Nariyawala says he reached out to the FCC following the ban was announced and showed them a way to how Matic volition origin as many components in the U.S. as imaginable moving forward.

“The FCC and authorities have been extremely much accommodating and understanding what we’re doing,” Nariyawala says. “Their complete item is that yes, you guys are heading in the correct direction. So as lengthy as it’s heading in the correct direction, we’re supportive of it. We fair have to display that we’re pushing in that direction.”

An intelligent machine

Matic now positions its vacuum as an intelligent, autonomous device fairly than a equipment that follows a fixed or random cleaning routine. Nariyawala contrasts that imagination with first robot vacuums, which he compares to a blindfolded individual bouncing from partition to wall.

“Hardware is hard,” Nariyawala says. “If hardware is 10 times harder than software, then construction a robot is 100 times harder than software.”

Many current robot vacuums use a form of LiDAR sensing, he says, which can assistance a device detect walls and certain obstacles but does not provision adequate environment to differentiate among a person, a cabinet, a pet, or a heap of clothes.

“It has no contextual awareness,” he says.

Matic’s scheme is meant to create a three-dimensional, evolving understanding of a home. Nariyawala describes this as an “absolute map,” fairly than a map that lone orients the robot related to its charging dock. The difference matters, he says, since a robot have to be capable to comprehend its surroundings equal if the dock is moved.

A game-changing update

Matic lately introduced “Cues,” an update enabling users to communicate alongside the robot through sound commands and gestures. Through the update, the robot can comprehend additional than 70 spoken languages, and users can item to an area they desire cleaned to have the robot obtain attention of a mess.

The robot has an accompanying app that remains necessary for onboarding and detailed settings, specified as environment no-go zones, but the business wants regular communication to awareness additional natural.

“If this is really an intelligent robot, afterward we have to be capable to communicate alongside it in the identical exact way that we communicate alongside all other,” Nariyawala says.

The method is designed for households that contain children, older adults, group who do not desire to use another app and family members who may not conversation English — personalized experiences for distinct users.

Growth strategies

Matic has focused small on traditional promotion than on getting customers to conversation concerning the product. Nariyawala says approximately two-thirds of orders have arrive through word-of-mouth referrals, and the business did small promotion before this year.

“The lone evergreen promotion conduit is a awesome product,” he says. “When you build item really unexpected, delightful that customers love, they can’t assistance talking concerning it.”

For Nariyawala, Matic’s floor-cleaning robot is lone the archetypal stage. The company’s roadmap imagines a “trusted organizer” that can grip simpler tasks, followed by a additional capable family robot that can obtain on complex preparedness and execution.

But he returns often to the identical regulation that shaped the company’s first 21-page memo: The innovation is not the product. The customer’s problem is.

“Customers don’t desire hardware or robots,” he says. “They desire a resolution to their problems.”

We’re enthusiastic to province Adaptive Dark Mode in Safari 27.3 beta. When enabled by a user, Safari adapts ray websites and presents them as dark.

In the fountain of 2019, Safari 12.1 became the archetypal browser to assistance dreary manner on the web. A lot of group affection using dreary mode, but not all website has a dreary version. Almost 40% of web leaf loads are from users in dreary mode, and yet only 10% of leaf loads assistance it. If you affection dreary mode, you’ve likely hit a location that felt particularly bright. Adaptive Dark Mode is designed to near that gap, providing a accordant dreary cognition throughout the web.

You can try it today in Safari 27.3 beta. To enable, archetypal create certain your scheme appearance is set to dark. Then browse to a website alongside a brilliant background. Safari volition recommendation a preview of Adaptive Dark Mode. Tap ‘Try’.

For websites that indication assistance of dreary manner alongside <meta name="color-scheme" content="light dark"> in HTML or color-scheme: ray dreary in CSS, Adaptive Dark Mode does not alter a thing. For the remainder of the web, it quickly analyzes the page, looking at colors and estimating whether it’s predominantly ray or dark. If the leaf mostly has a dreary backdrop alongside ray text, nothing is changed. When a leaf has a ray appearance, Adaptive Dark Mode adapts the leaf to be dark.

How does Adaptive Dark Mode work?

At the center of Adaptive Dark Mode is the transformation of color. Sometimes colors are merely decorative, during another times they have semantic meaning. Adaptive Dark Mode determines whenever to invert colors so elements remain apparent or whenever to depart colors unchanged.

While creating Adaptive Dark Mode, we developed a color matrix to invert the luminosity of colors during preserving hue. It’s used to create ray backgrounds dark, and dreary content light. When transforming content color, Adaptive Dark Mode aims for adequate difference as defined by the WCAG 4.5:1 difference ratio. Light CSS gradients are additionally transformed to dark.

Adaptive Dark Mode makes careful judgments so transformed satisfied looks fine and stays usable: buttons have difference against backgrounds, content is apparent complete images, and hover menus appearance clear.

It takes the identical attention alongside images. Most are remaining unchanged, preserving their integrity. But many icons and logos can endure difference whenever the backdrop color rearward them is inverted. So Adaptive Dark Mode inspects SVG images and transforms colors whenever needed. For bitmap images, it analyzes the pixel histograms and inverts uncomplicated black-and-white logos.

Effects akin masks and mix-blend-mode can create undesirable results on an component whose colors have been transformed, so in several cases Adaptive Dark Mode turns specified effects off. Also, <canvas> satisfied is remaining unchanged, since canvases merge a broad range of satisfied that’s difficult to predict.

It’s exactly since Adaptive Dark Mode is happening profound inside the WebKit browser motor that we are capable to discover imaginative ways to resolve the most complex challenges, use the transformations alongside awesome speed and power efficiency, all during rigorously protecting person privacy.

Making your location activity equal better

In general, a web leaf volition activity fine alongside Adaptive Dark Mode if it follows fine contemporary web betterment practices.

If your location motionless uses older techniques, small updates can help. For logos and icons, toggle bitmap images for SVG. Use firm or gradient colors in CSS alternatively of tiled backdrop images. Replace depiction sprites alongside contemporary CSS for rounded corners, shadows, and clasp states. Create satisfied images alongside transparent backgrounds alternatively of baking the leaf backdrop color into the image. Add padding to containers to forestall crowding.

Perhaps you desire a particular dreary manner cognition for a certain part of the page. Apply color-scheme: ray dark to the applicable component and add your own dreary styles.

Building your own dreary mode

For complete authority complete how your location looks in dreary mode, add complete support. It’s a terrific period to do so. It’s never been easier.

All the web innovation needed to completely assistance dreary manner is extensively accessible today, including:

• <meta name="color-scheme" content="light dark">
• :root { color-scheme: ray dreary }
• @media (prefers-color-scheme: dark) { }
• <picture><source media="(prefers-color-scheme: dark)">
• light-dark()

Newer CSS functions akin color-mix() and contrast-color(), affirmative famous techniques for organizing scheme systems alongside CSS variables provision additional options and flexibility.

Be certain to province dreary manner assistance using the color-scheme meta tag in your HTML caput and/or by environment the color-scheme asset on :root or build in your CSS. Don’t delay to inject this data afterward via JavaScript. This finest custom helps justify your location is rendered correctly as accelerated as possible.

Using the “light only” color scheme

If you would akin your web app or website to not be transformed by Adaptive Dark Mode, you can communicate this using color-scheme. The HTML <meta name="color-scheme" content="light only"> tag lets browsers cognize that 1) this leaf supports ray manner and 2) should lone be displayed in ray mode. The color-scheme: ray lone regulation does the identical thing, but alongside the elasticity of CSS, allowing you to fair mark particular elements on the leaf — or of course, you can mark the entire leaf alongside :root { }. (Note: the ‘only’ keyword is not supported in Safari 27.3 beta 1. Check rear as Adaptive Dark Mode evolves through the beta process.)

Protecting person privacy

Apple firmly believes person privacy is a essential individual right. If websites could detect whenever a person has enabled Adaptive Dark Mode, that would addition the amount of fingerprintable data and weaken privacy protections against trackers.

As a result, Safari prevents websites from detecting whenever Adaptive Dark Mode has been applied. JavaScript that queries CSS colors volition get the first authored colors, not the transformed ones. Any images drawn into canvas render in their first form.

Feedback

If you oversee a website or web app, and would akin to conversation how Adaptive Dark Mode is adapting your project, awareness liberated to attain out at web-evangelist@apple.com.

If you try out Adaptive Dark Mode as a user, and discover a location that does not activity well, we’d affection for you to document a study alongside Feedback Assistant. (Learn additional concerning filing Feedback).

Robot vacuums have been about a while, but it can motionless be durable to discover one that is additionally fine at mopping. But dissimilar many robot vacuum and mop combos that use spinning pads, the all-in-one Eufy E25 robot vacuum and mop has a self-cleaning roller mop: The roller is rinsed alongside spotless h2o as it mops, afterward cleaned at the dock, definition you don't need to expend as much period cleaning it yourself. It's a astute design, and it's a awesome period to choice one up: Right now, the E25 is 40% off in an first Black Friday deal at Amazon, taking it downward to $599.98 (originally $999.99).

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Another perk is that the E25 is armed alongside an anti-tangle broom and multiple flank brushes that enter tight corners; this is a precious characteristic at this cost point, as is the 20,000 Pa suction power, which results in a deeper spotless on the two difficult flooring and carpeting, features that are particularly appealing for pet owners.  

Users can map an area, set zones, agenda cleans, and define distinct features via the Eufy Clean app; the customizable options contain cleaning intensity, suction power, h2o level, and deciding whether you desire the E25 to create multiple passes in an area.  It uses LiDAR mapping and AI for obstacle finding and is extremely automated, alongside a dock that empties the robot, washes and dries the roller mop, and refills its h2o supply. If you live in a residence alongside pets and desire a low-maintenance robot vacuum and mop that can grip regular flat cleaning alongside minimal intervention, the Eufy E25 can cut several grave period from your cleaning routine.

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It’s unattainable to coat a complete image of what Audio Intelligence on the Apple Watch Series 12 and Ultra 4 volition be correct now. The watchOS 27.3 developer beta fair dropped before this afternoon, and these features are meant to be lived alongside in day-to-day life. We’re certainly going to do that complete the next few weeks at The Verge. That said, current are several first impressions.

What’s newly accessible today is Live Rewind and Siri Recap. The erstwhile lets you see a copy of the final 15 seconds, during the second provides high-level summaries of your conversations. (The another two Audio Intelligence features have been accessible for the final few weeks. I wrote concerning those in my Series 12 review.) And as always, this is the developer beta. These features could motionless alter fairly a bit before a final type arrives for the public.

The archetypal item I noticed is that these features are not turned on by default. I wasn’t expecting item different, but it’s value remembering that these features don’t automatically rotate every Apple Watch into a surveillance device. Audio Intelligence requires the latest Apple Watch hardware, a compatible type of iOS (so in this case, the iOS 27.3 developer beta), and person has to actively choose to allow these features. You can download the beta and double-press the crown to initiate a Live Rewind. It won’t do anything. You must opt in via your iPhone’s Watch app. Same goes for Siri Recap. Enabling Live Rewind additionally requires an first microphone calibration alongside your phone.

Privacy-wise, Apple has publically available assistance documentation concerning its method to these features. I’m not weighing in on how fine it executes them in this hands-on. But Apple has beautiful apparent messaging in the onboarding process. There are fairly a few customization options for whenever Siri Recap is active. You can get beautiful granular. For example, you can have Siri Recap only on at the agency during weekdays from 1 PM to 4 PM if that’s whenever you have meetings. This is difficult to communicate to bystanders, and I think ethical use should arrive alongside an in-person heads-up to the group you frequently engage with. (Hello, chap Verge writers and editors.)

Live Rewind, so far, has worked as described — alongside the heavy caveat that I’ve lone tested it in my quiescent residence agency alongside my spouse. Even so, it takes a hot second to study the timing of a twice press. My partner noticed the audible chime indication the characteristic is in use, although they didn’t notice the animation. I’ll have to see how this fares in louder environments. Siri accurately captured our attempts to get my cat to rotate over, although in consequent tests, it misheard a term or two.

I’m additional hesitant to comment on Siri Recap. It’s not fair since I haven’t had an organic, lengthy spoken conversation yet since downloading the beta. (Siri did not deem my concise conversation alongside my partner as deserving adequate for recapping.) But I won’t really get a awareness for how this characteristic feels until I’ve tested it in a broad assortment of scenarios. Will it activity if I conversation to myself aloud? How fine does it display out gossip? How volition this alter how group conversation to me? That’ll be the true test of this characteristic and Apple’s bystander privacy claims. I’ll keep evaluation and volition add an update formerly I’ve eventually received my archetypal Siri Recap.

What I volition say is that I’ve been evaluation the Amazon Bee Frontier for the former few weeks. In the small period I’ve spent alongside the watchOS 27.3 beta, the differences between Audio Intelligence and the Bee are extremely clear. The second has additional of what I’d call an AI-forward presence. Bee, for example, offers insights concerning the affectional spirit of a conversation. I’ve additionally established that the AI can be a bit judgy concerning insights and takeaways. Live Rewind is fair a direct transcript. Again, I’m motionless waiting on my archetypal Siri Recap, but what Apple’s stated publically so far is that these are meant to be extremely actual notes to jog a person’s memory. And, as far as I can tell, there is no commerce viewpoint for Siri Recaps, whereas Bee has an Amazon integration that surfaces purchasing suggestions according to conversations.

In any case, I’ll be diving profound into these features in the days to come. Let us cognize in the comments what you’re most inquisitive about.

Kairos decides all sign-up, login, order, fee and payout as it happens, and keeps all decision alongside the signals rearward it. It is an open-source substitute to Sardine, Sift, Riskified and SEON, alongside two things they don't have: your coding delegate tunes it, and decision models capture fraud before you have the labels to train on.

• Real-time decisions: one call returns approve, stage up, assessment or block, alongside a hazard mark and the reasons, from the subject's history, the devices, cards and addresses it shares alongside others, and the session.
• Workflows: ask a decision model, mark alongside a model, branch, call webhooks, open cases, and decide again later.
• Queues and cases: assessment activity for people, whose resolutions rotate into labels.

• MCP server: Claude Code, Cursor or Codex peruse your decisions and build workflows, alongside all act recorded under its key.
• Experiments: your delegate proposes example variants, Kairos trains and tests them on your data, and the delegate ships the winner.

• Grayson: Finic's decision example answers questions concerning all petition in plain language. It plant alongside few labels and says unstructured data.
• Models: logistic regression and gradient-boosted trees (XGBoost-compatible) on your numbers and Grayson's answers, trained in Kairos or uploaded.

• SDKs for TypeScript (@finic-ai/kairos) and Python (finic-kairos), a CLI, an HTTP API, and self-hosting alongside Docker.

You dispatch Kairos what happens in your product: sign-ups, logins, orders, payouts, chargebacks. It decides all petition (approve, stage up, assessment or block) and keeps all decision alongside the signals rearward it.

What makes Kairos distinct is who tunes it. Connect Claude Code, Cursor, Codex or any delegate complete MCP, and the delegate can do the activity of a fraud ML engineer:

1. Build the workflow. It defines what to decide, which questions to ask a decision model, and which sectors to score.
2. Design experiments. It proposes variants: a decision example alone, logistic regression on your numbers, gradient-boosted trees, a stack of them, or the decision model's answers blended alongside your numbers in one model.
3. Let Kairos run them. The server trains all type on your oldest tagged data, chooses on the next, and tests on the newest, afterward reports ROC-AUC, PR-AUC, the acquire complete a baseline alongside its 95% interval, and precision and recall at your thresholds.
4. Pick the victor and container it. The delegate explains its choice, applies the type as the workflow's next version, and comes rear whenever new labels arrive.

You: "Our chargebacks went up. Find a improved example for shopify_order and publish it if it wins." Agent: designs six variants → create_workflow_experiment → says the results → "Logistic regression on the order's numbers affirmative Grayson's answers wins: ROC-AUC 0.949 on validation, 0.930 on test. Publishing it as v6." 

Kairos is built about Grayson, Finic's decision model. You ask it questions in plain tongue ("Does the shipping location appearance akin a reshipper?", "Is this email throwaway?") and it answers alongside calibrated probabilities. Decision models are powerful anywhere traditional ML is weak:

• Few labels. Grayson plant on day one, before you have the thousands of chargebacks a example needs to study from.
• Unstructured data. It says descriptions, emails, names, addresses, notes and item titles, which a gradient-boosted tree can't.
• Explanations. Every answer is a inquiry you wrote, so all decision says why.

Traditional models are powerful anywhere decision models are weak: they study your own outcomes precisely, from your own numbers, and they disbursal nothing per decision. Kairos lets you merge both: Grayson's answers rotate into features next to your sectors in a logistic regression or gradient-boosted trees (XGBoost-compatible, trained in Kairos itself), and experiments inform you which blend wins on your data.

Sign up at kairos.finic.ai. Create a sandbox environment, a concealed key, and you're prepared to dispatch events.

In the console, open Settings › MCP, rotate on the tool groups your delegate needs, and create a key. Then, in Claude Code:

claude mcp add --transport http kairos https://kairos.finic.ai/mcp --header "Authorization: Bearer ksk_…"

Cursor, Codex and VS Code activity the identical way: see MCP for agents. Then ask your delegate to appearance at your decisions, build a workflow, or run an experiment.

npm instal @finic-ai/kairos # or: pip instal finic-kairos

import { Kairos } from "@finic-ai/kairos"; const kairos = new Kairos({ apiKey: process.env.KAIROS_API_KEY!, baseUrl: "https://kairos.finic.ai" }); await kairos.defineAction("withdrawal", { subject: "user", hold: "Should this withdrawal be held since the document shows signs of fraud or takeover?", }); kairos.track("login", { userId: "user_42", deviceId: "dev_9", ipCountry: "GB" }); const decision = await kairos.decide({ type: "withdrawal", userId: "user_42", usd: 900 }); // { decision: "approve" | "step_up" | "review" | "block", riskScore, reasons, … }

You need Node.js 22, pnpm 10 and a Grayson API key from portal.finic.ai. No repository to set up: the server starts its own Postgres.

pnpm install cp .env.example .env # set GRAYSON_API_KEY pnpm kairos dev # the API on http://localhost:8787 and the console on http://localhost:5273

For your team, docker create up --build. See Self-hosting and Local setup.

pnpm kairos signup # the local server, a new account pnpm kairos login --profile prod --url https://kairos.finic.ai --email you@example.com pnpm kairos keys create "My server" # a concealed key for your code pnpm kairos actions define withdrawal --data @withdrawal.json pnpm kairos import events transactions.csv --type transaction --ts created_at --entity user=customer pnpm kairos decide withdrawal -e user=user_42 -p usd=900 pnpm kairos workflows run review_payout -i user=user_42 --wait pnpm kairos --help # all command

To have kairos on your path, run pnpm nexus --global in apps/cli.

• Shopify: decide all order, clasp risky ones for review, and study from chargebacks. To get the Kairos app for your store, attain the Finic squad on Discord or at support@finic.ai.
• Inbound webhooks: obtain events from providers specified as Stripe. See Inbound webhooks.

The docs are at kairos.finic.ai/docs, and in docs/.

pnpm test # all tests; no network pnpm test:python # the tests of the Python SDK pnpm typecheck

• Discord: questions, ideas and show-and-tell, at discord.gg/4zRwRCK6Mx
• Email: support@finic.ai
• Contributing: issues and drag requests are welcome. Read Working on Kairos first.

Kairos is licensed under the Apache License 2.0.

Google has updated the page indexing study assistance documentation, specifically the "Crawled - currently not indexed" section. It now says Google doesn't indicator all pages, this is a average message, it doesn't necessarily signify an matter and more.

Google wrote in summary:

• Google crawled the leaf but it was not indexed
• Google does not indicator all pages
• It is a average communication for many sites
• It doesn't average you need to obtain any action
• Use the URL inspection tool for additional diagnostic information
• Reach out to Google if you think it is an error on Google's end

It is a bit weird there is no citation of norm issues, since Google mentioned that not fair formerly but twice.

The new content now reads:

Crawled - currently not indexed

The leaf was crawled by Google but not indexed. Google doesn't indicator all pages throughout the web, so this is a average communication for many sites and doesn't necessarily signify an matter that needs attention.

If you see this communication for crucial pages, use the URL Inspection tool and another tools to diagnose if there are any issues on your location that are preventing the pages from appearing, specified as if you've blocked them from our crawlers.

If you've completely diagnosed possible issues and doubtful there is an indexing bug because of a complete, site-wide issue alongside indexing, use the report an indexing matter form.

Here is a screenshot of it:

The old version read:

Crawled - currently not indexed

The leaf was crawled by Google but not indexed. It may or may not be indexed in the future; no need to resubmit this URL for crawling.

Screenshot of the old page:

Forum conversation at X.

Amazon originator Jeff Bezos and performer Jason Statham have a distinctive characteristic in common: They’re the two famously bald, and that certainly hasn’t changed in the final few days. However, there are some images of the two men circulating about X, Threads, and Bluesky in which they the two have substantially additional tress than their customary shaved look, which in Bezos’ case appears to be very freshly transplanted. It’s all fair photo editing fakery, AI or otherwise.

It’s unclear how viral these posts are, but they’re prevalent adequate that a few members of the Verge squad have encountered them in their social media feeds. Some group who shared them claimed (or were apparently fooled into believing) that Bezos and Statham had undergone tress transplant surgery. Generative AI tools have made this benevolent of photo manipulation or outright innovation additional accessible and convincing, and since AI labeling solutions on social media broadly suck at flagging this fakery, it’s uncomplicated to be misled unless you’re wary of everything you see online. In a earth anywhere social media shitposters can rotate involvement into a income stream, they’re not going to halt churning out attention-grabbing fabricated nonsense anytime soon.

We don’t cognize if AI tools were used to create the follicled Bezos and Statham edits — none of the images I tested flagged for Content Credentials or SynthID markers. We additionally can’t completely established whenever they were archetypal posted or who made them, but they are certainly fake, and it lone took me a brace of minutes to verify it.

In the two cases, I ran the photos through Google’s reverse depiction hunt tool. For the Bezos debunk, I established photographs of him in a akin backdrop surroundings and wearing the exact identical outfit (with, yes, no hair) that included a watermarked depiction credit at the base left. Searching for the credit afterward led me to the original photographs in their unaltered state, which were taken in 2023. Finding the first tressless images of Statham was equal easier — the reverse depiction hunt immediately surfaced watermarked versions of the originals, which were snapped by a paparazzo in 2011.

There’s another evidence too if you cognize what to appearance for. The chief emblem is that it’s likely unattainable for Bezos and Statham to be realistic candidates for tress replacement operation anyway; it requires you to have adequate “donor” tress to sacrifice from the rear and sides of your caput to afterward replant nearer to your desired hairline. You can technically obtain it from another places (or equal another people), but doing so is incredibly rare because of undesirable results and rejection concerns. Transplant patients additionally typically cognition several beautiful theatrical facial swelling for the archetypal week or so, which Bezos shows no signs of. Wigs, toupees, and another tress systems can additionally be used as nonpermanent tress restoration solutions, but as person who used to create and instal them professionally, it would be an astounding whoopsie for person as affluent and connected as Bezos to go this path and motionless end up looking akin a Chia Pet.

This isn’t the archetypal period photo-manipulated fakery has fooled group throughout social media, and alongside ongoing generative AI advancements, it likely won’t be the last. Previous incidents gave us the viral swagged-out pope, and latest trends have seen paparazzi photographs of celebrities akin Callum Turner, Harry Styles, and Noah Schnapp being manipulated to eliminate their shirts. These kinds of edits are typically designed to rack up likes, reposts, and another involvement — they perform into our fascination alongside celebrities’ lives alongside fabricated situations that are just outlandish adequate to be believable, catch our attention, and be shared about as the latest hot gossip by those who are fooled, or who merely don’t attention to verify the facts.

If you’re always unsure if there’s fakery afoot alongside images of celebrated faces, fair recall that most of the convincing edits (AI or otherwise) are according to genuine photos that you can hunt downward to verify the first source.

Apple dropped the archetypal developer beta for iOS 27.3 on Tuesday. While this update isn't as ample as iOS 27 proper, it's amazingly feature-filled for a 0.3 update. This is lone a beta, so item could (and apt will) alter before Apple officially launches the update. But, as it stands, iOS 27.3 tests 10 new features—including one characteristic the business trialed in the former beta.

Technically, anyone alongside a compatible iPhone can try out iOS 27.3 correct now—assuming you enroll your Apple Account in the developer program. But a term of warning: Betas can be temperamental, and could be risky. As such, I'd propose avoiding the beta until Apple releases the community beta, which comes following a bit additional evaluation to metal out larger issues. Either way, create certain to create a complete backup of your iPhone to a Mac or PC first, as issues alongside the beta could outcome in imperishable data loss.

Audio Intelligence

With watchOS 27, Apple released "Audio Intelligence," a new set of features for Apple Watch Series 12 and Ultra 4. Audio Intelligence uses the watches' new S11 chip, alongside alongside on-device AI and cloud-based AI, to run new features, akin Sound Recognition and Shazam (music recognition).

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With iOS 27.3, however, the business is now officially evaluation the another two Audio Intelligence features it initially announced alongside watchOS 27. First, there's Live Rewind: By double-clicking the observe crown, you can drag up a copy of the final 15 seconds of a conversation. Siri Recap, on the another hand, displays summaries of conversations you had that day, in case you need a refresher on any chats you power have alternatively forgotten about,

The business generated several disagreement whenever it archetypal announced these two Audio Intelligence features, since, on the surface, it appears akin these new Apple Watches are basically spying on group all day long. According to Apple, however, that isn't really the case. The business says Audio Intelligence is private, and never records or stores any audio. No speakers are always identified, and content results (both transcripts and summaries) are deleted automatically following a set duration of period unless the person saves them to the Siri app. You can peruse additional concerning how Audio Intelligence plant here.

Despite their claims, I'm certain there volition motionless be powerful feelings surrounding these Audio Intelligence features. We'll have to see whether Apple can demonstrate Live Rewind and Siri Recap aren't all that creepy throughout the iOS 27.3 beta process.

Siri AI app actions

iOS 27.3 additionally introduces app actions for Siri AI. Apple is evaluation new abilities for Siri AI, including organizing files, preparedness events, or adding photos to albums. You could ask Siri to arrange your Downloads folder, or delete records that haven't been opened in additional than a year. You could ask Siri to discover a coffee shop you went to final week, or to preserve an part to your Reading List in Safari. You could ask Siri to inspect your calendar and set up a period for an event according to whenever you're free. You can equal ask the aide to schedule, edit, or unsend messages.

For example, you could ask Siri AI to help you scheme a trip alongside your friends. You could ask the AI to put together a themed playlist in Apple Music, agenda a communication to a collection concerning an upcoming trip, arrange the websites you've been visiting in Safari into a tab group, and, following the trip, ask Siri to move your finest photos to your favorites album. These new actions activity in the following apps: Calendar, Files, Finder, Journal, Mail, Maps, Messages, Music, Notes, Photos, Preview, Reminders, Safari, Shortcuts, and Weather. Developers can additionally add Siri AI app actions assistance to their own apps.

The new Health app is back

Apple started evaluation its new Health app alongside the iOS 27.2 beta, but pulled the redesign before the authoritative release. Now, alongside iOS 27.3, the new app is back. The new Health app has a health dashboard for the archetypal time, as fine as new features akin Health Age and movement assessments. It seems to be pulling from several famous competitor services, hopefully, for the better. For additional on the new Health app, check out Lifehacker health publishing company Beth Skwarecki's explainer.

Fitness+ Gym Strength

Continuing on the Health track, iOS 27.3 additionally introduces "Gym Strength." This is a new Fitness+ characteristic that offers a personalized four-week strength-training plan. You can customize these plans to encounter your goals, cognition level, and schedule, and they modify as you progress. You'll get recommendations according to your cognition alongside exercises, reps, and sets, including video demos for exercises. You can admission Gym Strength on the two iPhone and iPad, and Apple Watches are optional—though you can log your advancement alongside the wearable if you have it.

Safari gets vertical tabs

Vertical tabs have been a favorite among browser aficionados, as they provision you additional display genuine asset in your browser during keeping your tabs off the side. Apple hasn't made the jump—until now. This characteristic plant alongside iPads operating iPadOS 27.3 as fine as Macs operating macOS 27.3.

Safari can now automatically rotate websites dark

Another new Safari characteristic in evaluation is "Adaptive Dark Mode." This characteristic forces websites into a dreary theme, if they don't have a native theme of their own. There are third-party apps that can do this, but this is the archetypal period Apple has offered this characteristic built into Safari.

StandBy gets an upgrade

Apple is additionally evaluation new StandBy experiences alongside iOS 27.3, which were earlier lone accessible on the iPhone Duo. When you rotate your iPhone sideways during plugged in, you'll discover new Analog and Digital Clock faces alongside new customization options. There's additionally a new Photos face, alongside the choice to drag images from Shared Albums.

iPhone Duo gets Reachability

"Reachability" pulls your iPhone's display downward towards the base of the screen, so you can admission items towards the top of the display alongside one hand. It's a helpful characteristic for those of us alongside big iPhones, and now, there's no iPhone bigger than the Duo. With iOS 27.3, Apple is evaluation Reachability for its archetypal foldable phone. It's a bit akin the inverse of how Reachability currently works: You can rub on the remaining or correct flank of your Duo's display to change the another flank of the display towards your current position. If you're holding your Duo in your remaining hand, a rub of the remaining flank volition drag the correct flank complete to the left, and vice versa.

Siri AI is accessible in new languages

Apple is additionally rolling out new languages for Siri AI in iOS 27.3. Now, Apple's astute aide supports Traditional Chinese, Vietnamese, Turkish, and Norwegian.

Siri Mode on iPadOS

If you have an Apple Intelligence-compatible iPad operating iPadOS 27.3, you now have admission to Siri Mode in Camera. As alongside iOS, you can open the Camera app on iPadOS to admission Siri Mode, and ask Siri concerning your surroundings.