The high-end watch world has an understandable affection for Casio. You can easily rock an iconic, brightly colored F-91W in any meeting with a luxury brand, and you’ll get nods of approval. It is, after all, the watch that has graced the wrists of Barack Obama and Napoleon Dynamite.

If not the F-91W, you’d be on similar safe ground sporting the famous “CasiOak” that many G-Shock fans love because of its more than passing resemblance to Audemars Piguet’s Royal Oak, which was recently given a similarly affordable makeover by Swatch with the Royal Pop. First introduced in 2019, the wallet-friendly G-Shock GA-2100 earned the nickname largely because of its octagonal case shape, and it is considered by some the definition of attainable luxury.

Now, however, it appears Casio has something genuinely new for the G-Shock line. Leaked on Notebookcheck and Instagram, the upcoming GMC-2500 and GAC-2500 series echo the CasiOak’s links to high-end brand AP with more than a passing resemblance to Patek Philippe’s Nautilus thanks to prominent shoulders on either side of the case.

Casio did not respond to WIRED’s request for comment.

Casio’s incoming GMC-2500 G-Shocks …

Courtesy of Geesgshock

… have more than a whiff of Patek’s Nautilus.

Courtesy of Geesgshock

In 1972, legendary watchmaker Gérald Genta suggested an angular stainless steel watch design to Audemars Piguet with a high-end movement inside that would, perversely, be more expensive than gold dress watches. The Royal Oak, and the idea of the luxury sports watch, was born. In 1976, Genta repeated the trick for AP’s main competitor, Patek Philippe, to create the now equally famous Nautilus.

According to Notebookcheck, the GAC-2500 series is a resin analog lineup supposedly built from the DNA of the DW-5000C, the very first G-Shock made back in 1983. Stainless-steel versions will be labeled the GMC-2500 series. So far, nicknames like the “CasioNaut” and “CasioTilus” are already being thrown around on Instagram. The leaked four resin colorways in November are expected to be white, black, green, and yellow, and the price is estimated at 20,900 Japanese yen (about $134) each. The metal versions will supposedly retail for about $320.

Patek Philippe’s Nautilus was created in 1976, four years after AP’s Royal Oak, both designed by Gérald Genta.

Courtesy of Patek Philippe

AI and ml

Now comes the harder sell: Convincing customers and merchants to trust AI with purchases

Anthropic has blueprints for building e-commerce bots that shop on behalf of clients. That’s not something many consumers want at the moment, but the AI biz this week published a set of templates for Claude-based shopping agents and merchant agents in the hope of encouraging more e-commerce businesses to implement automated purchasing.

Its blueprint “contains the harnesses, patterns, and guardrails an engineering team needs to get a commerce agent running in days, with reference implementations of a shopping agent and a merchant agent for retail, travel, telecom, and ticketing platforms,” the company said.

Large retailers and ecommerce platforms, Anthropic observes, are using Claude to build AI agents to simplify online shopping by allowing customers to pose natural language queries to find, compare, and buy items.

The buying bit may be wishful thinking: A recent Gartner survey found that while consumers use AI to find products and conduct research, they’re not ready to delegate purchasing authority to AI agents. The survey found just 11 percent of consumers are willing to let AI make purchase decisions.

A recent Accenture survey [PDF] is a bit more optimistic, noting, “Three in four (74 percent) consumers would let an AI agent handle routine tasks; one in three (32 percent) are ready to hand over purchase decisions; and 9 percent are open to fully autonomous shopping, before the technology is fully operational.”

Either way, at least AI-assisted product finding and comparison appear to be plausible activities.

Anthropic’s GitHub repo contains functional shopping and merchant agents that can be built with the Messages API, Agent SDK, or Claude Managed Agents.

The biz’s shopping agent blueprint comes with ways to connect to product catalogs, online shopping carts, checkout systems, preference databases, and purchase history databases. 

“A customer can say ‘I need a tent, sleeping bag, and stove for a weekend trip with two kids,’ and the agent can take it from there,” Anthropic suggests, noting that its code supports guardrails “designed to constrain prices and products to actual catalog data, and avoids manipulative upsell patterns.” 

Why might prices need constraint? Well, beyond the possibility of hallucinated pricing, there’s considerable concern about how AI agents have the potential to compound the problems with dynamic pricing – where customers are charged different amounts for the same goods.

“The rise of agentic AI, where algorithms monitor online behavior to customize costs, will likely exacerbate dynamic pricing,” said the Brookings Institution earlier this year. “These agents can assess individual behavior and tailor prices based on a consumer’s shopping and purchasing history.”

Concerns about AI surveillance pricing were discussed last month at a Senate Judiciary subcommittee hearing.

In prepared remarks, Lindsay Owens, president and CEO of Groundwork Collaborative, a Washington, DC-based advocacy group, noted that already half of those using the Walmart app use “Sparky,” the company’s AI assistant. Those shoppers spend about 35 percent more than those who don’t, Owens said.

“These agents have access to swaths of data on customers – what shoppers tell them, what they’ve purchased in the past, and in some cases, what they’ve hovered over with their mouse or even what other websites they’ve visited,” she said. “All of that can be used to infer exactly how much they’re willing to pay for a product and set the price tag accordingly.”

Even if shoppers can be assured of getting a fair deal using AI agents, there’s another concern. Monica Eaton, founder and CEO of Chargebacks911, told The Register in an emailed statement that agentic commerce looks likely to create fraud problems for merchants.

There isn’t yet a framework for merchants to deal with AI purchases that consumers claim they didn’t authorize. “Merchants cannot become the insurer of every misunderstanding between a consumer and their AI,” she said.

Anthropic’s templates may prove helpful for AI agent design, but the real challenge isn’t technical. It’s about trust – consumers have to trust that AI will act in their best interest and merchants have to trust that AI will be accountable. That may take time. ®

Other deals among WIRED-recommended grills include $50 off a couple of Weber’s durable, last-you-forever standbys—the Weber Kettle and the Weber Spirit E-210. I and fellow WIRED reviewer Scott Gilbertson tend to love these two models precisely because they are basic, durable, reliable, and low-cost. The Weber Kettle, especially, can be upgraded with smart features into a temp-controlled, smart-charcoal beast.

This $50 off deal tends to be the standard Weber deal. But the price already starts out affordable, and so the sale price amounts to an excellent value on a grill that’s likely to be with you a while. If you’d like your kettle in green, you can get it for half off, a mere $100.

Home Depot Milwaukee Tool Deals

Photograph: Scott Gilbertson

Milwaukee

M18 Fuel Cordless Impact Driver

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Buying power tools is all about picking an ecosystem (and a battery pack). WIRED reviewer Scott Gilbertson favors Milwaukee for its intersection between reliability and value, and for tentpole sales Home Depot usually offers free battery packs or buy-one-get one deals.

One of the best and most versatile tools Gilbertson recommends is Milwaukee’s excellent impact driver ($179). Lucky you: During the Labor Day sale, this comes free with the purchase of the portable M18 battery you’ll need to operate it wirelessly. If you’ve already got a Milwaukee battery, the BOGO still holds for an assortment of tools including an oscillating multi-tool that’s also one of the more underrated tools in the DIYer home kit.

Home Depot Ryobi Landscaping and Tool Deals

Ryobi is the brand that former WIRED reviewer Parker Hall has consistently recommended for yard and landscaping tools, in large part because of their service philosophy. In many regions including mine (the Pacific Northwest), Ryobi keeps a local repair technician on retainer to come and fix your mower or blower, instead of making you ship your machine to a repair center somewhere. This is clutch, even if you won’t have to use the service often.

Home Depot is offering its usual BOGO battery deals on Ryobi’s landscaping tools, including the heavy-duty leaf blower ($159) you’re going to need sooner than you expect.

For entry-level tool kits, my colleague Kat Merck also recommends this shockingly low-cost starter power tool kit from Ryobi—which is not going to make you the envy of any job site, but offers great value and torque for the money. This set offers a ½-inch drill/driver, an impact driver, a circular saw, and an LED light. There’s also another discount kit with a sander, drill/driver, and circular saw.

Ryobi

ONE+ 18V Cordless 4-Tool Combo Kit

Home Depot DeWalt Tool BOGO

My editor, Kat Merck, is a DeWalt devotee. But the DeWalt Deals are a bit more specialized this season. There’s still a few good BOGO offers, though, especially if you’re in the market for a circular saw or angle grinder, or a hammer drill kit to carve holes into masonry.

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The big picture: Windows critics have long complained about the operating system’s bloated default software stack and its steady stream of notifications. Microsoft seems to be acknowledging the issue to stay popular with developers, but its response has been to sell workstations with a pre-installed Windows experience that any Windows user can technically already try for free.

As part of its push to promote AI-driven development, Microsoft and its hardware partners will begin selling high-end PCs with a clutter-free version of Windows later this year. However, instead of a separate Windows SKU, the machines will ship with pre-configured developer-friendly settings for Windows 11 Pro.

Called Project Zenith, the configuration comes with tools such as Visual Studio Code, GitHub Copilot, PowerToys, WinAppCLI, and Windows Dev Skills pre-installed. It also changes certain Windows settings to reduce distractions.

For example, File Explorer will show hidden files, file extensions, the details pane, and full file paths by default, with long-path support enabled and recently used files and sync tips disabled. Project Zenith also turns off Start menu tips and account notifications, and enables Command Palette in Start and Search.

Although many ordinary users would welcome a distraction-free version of Windows, Microsoft is clearly aiming Project Zenith toward programmers who want to write code using local AI agents, as Project Zenith devices must include at least 64GB of unified memory and 250 GB/s of memory bandwidth to run 30-billion-parameter AI models. AMD Ryzen AI Halo devices will be the first to ship with Zenith, with others built on different chipsets expected to follow in the coming months.

You may want to know also that Microsoft already provides an open-source script called Windows Developer Config to create a similar configuration on any Windows 11 PC.

As Windows Latest points out, users can already change the interface settings to resemble Zenith or manually install its AI coding toolchain, or let Windows Developer Config handle the configuration automatically.

Some might view Project Zenith as an admission that Windows 11 features related to notifications, OneDrive, and the Microsoft Edge browser have annoyed users. While the company is positioning the project as an alternate configuration to discourage developers from drifting toward Linux and macOS, Microsoft has also shifted the development focus of the standard Windows 11 experience over recent months. Although the company is still trying to turn Windows into an agentic OS, recent updates have primarily focused on enhancing performance and quality of life.

Nscale, a British AI infrastructure company founded just two years ago, has said it may go public as early as later this month. Ahead of that expected IPO, the company is reportedly in talks to raise an additional $3.5 billion.

Bloomberg reported Friday that the company is looking to sell $1.5 billion in convertible notes — a type of loan that can later convert into company stock — to a group of investors, while also seeking an additional $2 billion in financing from Nvidia.

Nvidia also participated in the firm’s Series B funding round in March, a $1.1 billion raise led by investment fund Aker. Nscale hailed its round as “the largest Series B in European history.” The company’s Series A round, in December of 2024, raised $155 million.

TechCrunch reached out to Nscale and Nvidia for comment.

AI infrastructure startups have seen immense growth amid the current era of AI enthusiasm, wherein compute has become a competitive currency.

Nscale recently signed a large deal with Anthropic worth approximately $45 billion. Earlier this week, reports emerged that Nscale had been telling potential investors that it has approximately $103 billion in revenue following the deal. That figure isn’t current sales; it’s a projection based on signed customer leases, according to The Information.

Presented by Contentful

Most marketing teams still measure visibility the same way they always have: rankings, click-through rates, and organic traffic. But buyers have moved on.

Search tools and AI engines now synthesize answers directly on the screen, creating a world of zero-click searches where your website is entirely bypassed.

The “old days” are not coming back. The question for marketers is no longer, How do we rank first? It’s How do we become part of the answer?

The answer isn’t publishing more content; it’s making your knowledge impossible for AI to ignore.

Brand visibility has a new dimension

Showing up is only half the battle. Where you appear inside an AI-generated response matters just as much.

Think about the experience. If your brand is mentioned after multiple answer cards, product recommendations, follow-up questions, and community discussions, most people will never see it. Ranking reports won’t capture that.

One way to think about this is pixel depth. Instead of measuring position on a search results page, measure how prominently your brand appears within the answer itself. Visibility increasingly depends on whether you’re seen before someone feels they’ve learned enough to stop reading. It’s no longer enough to rank at the top of search results. Now “share of visibility” models also weigh SERP features, ads, and AI Overview presence for a more holistic view of what kind of attention your company can expect to get.

AI builds answers instead of indexing pages

Search engines were designed to index pages. Large language models work differently.

Rather than evaluating a page as a single unit, they connect facts, concepts, entities, and relationships from many sources to generate an answer. AI systems don’t treat pages as single units; they extract and recombine facts across sources. Your website becomes one source of evidence rather than the destination.

That changes what makes content valuable.

A polished landing page still matters for people. But before someone reaches that page, an AI system has already decided whether your information is clear, credible, and consistent enough to include in its response.

AEO is really an information architecture problem

Many organizations approach answer engine optimization as a writing exercise. In reality, it starts much earlier.

AI systems need information they can understand. That depends on consistent terminology, structured content, clear metadata, well-maintained documentation, and a single source of truth across product pages, help centers, blogs, and FAQs.

When the same product is described three different ways across your website, you create uncertainty. A customer might work through those inconsistencies. An AI system is more likely to move on to a source that’s easier to interpret.

Kemberly Gong, VP of Marketing at Contentful, recently described what AI systems look for: structured content, clear context, authority, and validation from other trusted sources. AI doesn’t automatically accept what your brand says about itself. It looks for consistency across your own content as well as supporting signals from reviews, documentation, industry publications, and community discussions.

The goal isn’t simply to publish more content. It’s to build a body of knowledge that holds together.

Readability is now key to discoverability

Clear writing has always been good for readers. Now it’s also good for machines.

Descriptive headings, concise paragraphs, clearly defined terms, logical structure, and scannable formatting all make it easier for AI systems to understand and reference your content. Those same qualities make life easier for human readers.

Content that’s easy for answer engines to interpret shares four characteristics:

Consistency: Use the same terminology across product pages, documentation, FAQs and blogs.

Clarity: Define technical terms the first time they’re introduced, and keep each section focused on a single idea.

Authority: Support your claims with original research, customer evidence, expert insights or other unique information.

Structure: Organize content with descriptive headings, a logical hierarchy and standalone sections that answer engines can easily interpret and reference.

Those principles don’t just improve readability. They also make your content easier for answer engines to interpret and include in AI-generated responses.

Originality has become a competitive advantage

The web has no shortage of AI-generated summaries. What it lacks is information that exists nowhere else.

Original research. Customer data. Benchmarks. First-hand expertise. Strong opinions backed by experience. Those are the assets AI systems can’t easily replace because they aren’t available everywhere else.

That makes original thinking more valuable than ever.

When ten companies publish the same advice, AI has little reason to favor one over another. When your organization contributes something genuinely new, you become the source others reference.

Four questions every marketing leader should ask

Before investing in another AEO checklist, step back and ask:

• Could an AI accurately explain what our company does?

• Do our product pages, documentation, and thought leadership describe the same concepts consistently?

• Is our expertise organized well enough to be cited?

• Are we contributing original knowledge or simply producing more content?

The bottom line

Strong brands aren’t disappearing from AI answers because they lack expertise. They’re disappearing because their expertise is fragmented, inconsistent, or difficult for machines to interpret.

The organizations that gain visibility over the next few years won’t necessarily publish the most content. They’ll make their knowledge easier to understand, easier to verify, and easier to trust. That’s good for AI systems, and even better for the people reading the answers.

About Contentful: Contentful helps organizations turn content into a strategic asset. Its headless CMS gives teams the tools to create structured, reusable, and consistent content across every channel, helping brands improve customer experiences while preparing for an AI-driven future.

Learn more at Contentful.com.

Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. For more information, contact sales@venturebeat.com.

Attackers have begun targeting a critical-severity Citrix NetScaler flaw in the wild, according to vulnerability intelligence company Previdian.

Tracked as CVE-2026-19490, this security flaw can allow unprivileged threat actors to bypass authentication remotely when the NetScaler appliance is configured as an AAA virtual server or as a Gateway (SSL VPN, ICA Proxy, CVPN, RDP Proxy), depending on the NetScaler firmware version and whether SAML Action is configured.

“We strongly recommend that customers review the official NetScaler ADC and NetScaler Gateway security bulletin, assess whether their deployments are affected, and upgrade impacted appliances to the recommended builds as soon as possible,” Citrix warned in mid-August when it addressed the flaw and urged admins to patch it as soon as possible.

While the company has yet to flag the vulnerability as actively exploited in its August 19 security advisory, Previdian founder and security researcher Ryan Dewhurst told BleepingComputer on Thursday that attackers have begun targeting CVE-2026-19490 in the wild after a “credible” proof-of-concept exploit was published online.

“On 3 September, one of our NetScaler sensors received requests matching the PoC from three distinct source IPs, geolocated to Australia, the United States and Germany,” Dewhurst told BleepingComputer.

“Our current assessment is that this provides evidence of exploitation attempts, but it does not confirm successful compromise of real-world systems.”

The Centre for Cybersecurity Belgium, the country’s National Cybersecurity Coordination Centre for Belgium (NCC-BE), also warned on Friday of exploitation attempts targeting the CVE-2026-19490 vulnerability and urged admins to prioritize patching all vulnerable Citrix NetScaler appliances on their organizations’ networks.

Although Internet threat watchdog Shadowserver tracks over 22,000 NetScaler ADC appliances and nearly 1,700 Gateway instances exposed online, there is no information on how many are honeypots, have vulnerable configurations, or have already been patched against CVE-2026-19490 attacks.

Citrix urged admins to patch two other NetScaler flaws (CVE-2026-3055 and CVE-2026-4368) in March, just days before threat actors began exploiting them in attacks.

The Cybersecurity and Infrastructure Security Agency (CISA) added the CVE-2026-3055 flaw to its catalog of actively exploited vulnerabilities one week later and ordered federal agencies to patch vulnerable Citrix appliances within three days.

Since November 2021, the U.S. cybersecurity agency has tagged 23 Citrix vulnerabilities as exploited in the wild, six of which have also been abused by ransomware gangs.

Overall prevention scores can hide what happens after initial access. Once attackers are using valid credentials, prevention drops sharply.

The Blue Report 2026 measures defenses technique by technique across 338 million simulations run in customer production environments.

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There’s not much the robot vacuum industry can do to surprise me these days. I’ve seen robots that have mechanical arms to pick up objects, robot vacuums with legs and tread systems to climb stairs, and even wilder humanoid concepts. But iRobot genuinely surprised me with its Roomba Duo, a floor-washing robot module that carries a little baby Roomba on top. I saw this contraption in action at iRobot’s booth at IFA Berlin, and I honestly don’t know what to make of it.

I briefly spoke to Adam Pope, iRobot’s chief engineer at the booth, who explained that the Roomba Duo is currently just a concept, but it’s an example of the kinds of things iRobot is considering to address consumer pain points. In the case of the Duo, the main egg-like mothership module includes a powerful floor washer and steamer that’s more capable than the type of hardware you can put. iRobot tells me that the main unit’s power is equivalent to that of a traditional wet-and-dry vacuum, offering powerful cleaning but lacking the autonomy of a robot vacuum.

The Duo solves this problem by also incorporating a slim Roomba that can be deployed. I watched it do so after the main unit sucked up some spilled spaghetti from the carpet for the demo and sanitized the spill area. It then used a top-mounted mechanical arm and what I can best describe as a landing craft to lower the Roomba onto the floor, where it started cleaning in the narrow spots of iRobot’s obstacle course. The movement reminded me of a bulldozer or a forklift because the mechanical arm itself looks quite industrial and sturdy, which iRobot says is necessary to ensure stability under the additional weight.

After the main unit finished its heavier cleaning job, it moved closer to its docking area while the smaller Roomba puttered around, cleaning corners and navigating iRobot’s barriers.

Both units operate autonomously, but they share a home map and an autonomous mobile dock, so they won’t duplicate efforts. They communicate in real time and are connected via the Rooma Home app, which uses AI to coordinate cleaning tasks. iRobot says the main unit vacuums and mops the large, open floor areas, while the slim baby Roomba goes under furniture and into narrow spaces the bulky main module can’t reach.

While this is just a concept product with no indication it’ll come to market, iRobot did share some specs with us. The main mothership has a wet-and-dry floor-washing module, a high-performance motor, and a high-capacity battery. It also uses the company’s PowerSpin Max Roller map, applying 46 newtons of downward pressure, which is a huge jump from the 12 to 14 newtons you typically get from a robot vacuum. iRobot says it scrubs the floor as thoroughly as if you were cleaning by hand.

It also has an internal heater that generates steam to loosen tougher, dried-on grime and stains. The roller is self-cleaning, as we’ve come to expect and iRobot says it can handle everything from dirt to pasta sauce and cooking grease. There’s also a hot-air dryer behind the roller that dries the floor after the roller is done mopping, so the wood flooring doesn’t get damaged by moisture.

The companion robot used for the demo is the Roomba Plus 575 Combo, which we covered after it launched earlier this year. It’s just 8.35 centimeters tall and 29.8 centimeters wide, making it one of the slimmest models we’ve seen, which is why it was selected as the companion unit. Right now, it’s not clear whether the mothership can accommodate other robot vacuum models, but I would guess it’s only compatible with this one for now.

The main Duo unit is equipped with the company’s ClearView Pro dual-line lidar and AI to detect and navigate household objects. It also has a top-mounted AI camera, giving it a better, higher view of rooms and floor layouts, and creating more detailed maps than a standard robot vacuum. It should also be able to better identify stains.

To move this fairly bulky unit, it uses 17-centimeter wheels powered by hub motors. There’s a shared AutoWash dock (the self-emptying and cleaning docking station that most newer Roomba models use). It has a centralized clean water supply, a waste water tank, and like a standard stationary dock, it automatically washes and dries the mop and collects dust in a dustbag, letting you go months before it needs to be emptied.

Ajay Kumar

Smart Home & Robotics Editor

CNET’s Smart Home & Robotics Editor covering robot vacs, home appliances, smart home, and yard & outdoors. Built CNET’s lab-exclusive testing methodology and lab awards.

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Multiple lawsuits have been filed against identity verification company IDScan after hackers allegedly breached the service and offered to sell more than 153 million driver’s licenses.

Several law firms, including Markovits, Stock & DeMarco, and Hall Attorneys, have also launched investigations into potential class-action litigation related to the reported security incident at IDScan.

Brian Krebs originally reported on September 1 that a dark-web identity-theft service called “Nexus” advertised access to more than 153 million U.S. and Canadian driver’s license scans, 10 million ID cards, 3 million travel documents, and 579,000 medical cards.

Krebs verified the samples by searching the database for his own records and those of other individuals who had consented to the checks, and tracked the leak to IDScan.

IDScan is an identity verification technology company that provides hardware and software solutions for businesses to scan, authenticate, and extract information from government-issued identity documents.

Its systems are used across the U.S. in car rental firms, retailers, gun shops, financial institutions, cannabis dispensaries, and hospitality establishments.

The company has not published any statements about these allegations, and it did not respond to BleepingComputer’s requests for comments.

Currently, it is unclear if IDScan’s systems were compromised or the number of impacted individuals.

Krebs also reported that the FBI’s New Orleans office has launched an investigation into the incident, which Reuters also confirmed independently.

The agency has also confirmed for BleepingComputer that it is looking into the incident. However, the FBI declined any further comment due to the ongoing nature of the investigation.

The illegal service Nexus is no longer online. However, cybercriminals still have access to the database.

BleepingComputer learned that the service included documents belonging to U.S. Secretary of Defense Pete Hegseth and an assistant director of the FBI, but we could not verify the information.

The lawsuits were filed in Louisiana, where IDScan is based, and allege that IDScan failed to protect information from its clients, such as global car rental company Hertz.

According to Markovits, Stock & DeMarco, IDScan has started to notify some business customers around September 1st.

The law firm says people whose IDs were scanned through businesses using IDScan’s systems may be affected, and is seeking potential claimants for a possible class-action case.

Given the incident’s potential scale, additional lawsuits—including potential class actions—could be filed, and related cases could eventually be consolidated into multidistrict litigation.

State attorneys general and federal regulators could launch separate investigations or enforcement actions, as it has happened with similar-scale data exposures in the recent past, including for 23andMe, Marriott, and Equifax.

Update [September 4, 14:50 EST]: Article edited to include FBI’s confirmation that the incident is being investigated.

Overall prevention scores can hide what happens after initial access. Once attackers are using valid credentials, prevention drops sharply.

The Blue Report 2026 measures defenses technique by technique across 338 million simulations run in customer production environments.

Get the report