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Adobe Premiere is now available on Android with free multi-track editing, watermark-free 4K exports, creator tools, and optional Firefly AI features.

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Five phones under $1,000 offer alternatives to the iPhone 18 Pro, with options for iOS, battery life, Android performance, AI, and value.

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The abolition of the Department for Science, Innovation and Technology has created uncertainty about what happens next to Britain’s AI ambitions.

Kanishka Narayan’s promotion to Minister for AI gives the technology a dedicated voice at Cabinet, yet folding DSIT’s responsibilities into other departments raises questions about how the Government will coordinate the infrastructure, investment and public-sector adoption needed to support those ambitions.

Recent parliamentary scrutiny of critical public-sector AI contracts has highlighted growing pressure on institutions to strengthen control over AI operations and deployment continuity. Britain has focused on adoption speed; the next step is operational control in ongoing public-service AI use.

The case for sovereign AI is becoming stronger as a result. Britain needs more than access to capable models; it needs controlled operations for the services that depend on them, even when a provider, contract or political relationship changes.

Sovereignty goes further than where data sits

Sovereign AI is often reduced to data residency, with the assumption that keeping information inside Britain is enough to keep it under British control. Data location remains important, particularly in healthcare, defense and public administration, but it describes only one part of the relationship between an organization and the technology it uses.

A hospital could store every patient record in a British data center while relying on models and software that only the original provider can operate or modify. Where that provider is based remains relevant, but the more useful test of sovereignty is whether the hospital can understand the system, govern how it is used and continue running it if the commercial relationship changes.

An organization should know how its systems operate, determine which data a model can access and retain the ability to move a workload or introduce another model without rebuilding the entire service. Once that system becomes essential, it also needs enough internal expertise to keep it running rather than discovering that continuity depends on the decisions of one supplier.

Britain does not need to reproduce every layer of the stack, but it does need predictable control where public services run. Modern AI draws on international research, complex supply chains and open-source projects, and recreating them domestically would consume enormous resources without necessarily producing better technology.

As DSIT’s responsibilities move across Whitehall, the Government needs to decide which dependencies it can accept without threatening security, public trust or an essential service.

Capability and control can reinforce one another

Government AI plans sometimes present sovereignty as the slower alternative to using the largest commercial models, as though Britain must choose between world-class AI and control over its deployment. That assumes every organization needs the same frontier system, when the question is which model suits the work.

For many public workloads, a fit-for-purpose model in a controlled environment is more valuable than one large generic option, especially when governance obligations are strict.

A specialized model can be adapted to the organization's data, tested under the conditions in which it will operate and governed according to the consequences of getting a decision wrong. In those circumstances, greater control can make the system more useful as well as more independent.

Open and portable technology can support this approach by allowing organizations to run models across different infrastructure, examine how systems behave and replace components as better options emerge.

Openness does not guarantee sovereignty, since organizations still need secure infrastructure, skilled teams and clear governance, but it reduces the chance that an entire service becomes inseparable from one provider’s platform.

I have seen the AI market move quickly enough to make that flexibility increasingly valuable. The best model for a task today may be overtaken within months, while pricing, regulation and access can change almost as quickly.

An organization that builds around one proprietary service may struggle to benefit from that progress, whereas one that controls the environment in which its models operate can introduce better technology without starting again.

Government can turn sovereignty into capability

Britain already has many of the ingredients it needs, including strong universities, experienced researchers, growing AI companies and public investment in compute. The next step is to connect those assets with sustained demand in the parts of the public sector where sovereignty has the greatest practical value.

Government does not need to select one national champion or exclude international companies. It can create a market in which providers compete while public bodies retain control of the systems they buy.

Procurement rules for critical AI could require workloads to be portable, independently testable and capable of running within infrastructure controlled by the customer, making the ability to change course part of the original decision rather than a problem discovered at the end of a contract.

This would give hospitals, councils and government departments credible sovereign options while providing British AI companies with a route from pilots to long-term deployment. It would encourage partnerships in which knowledge and operational authority remain with the institution responsible for the service, even when private companies provide the technology and expertise.

The restructuring of DSIT should be treated as an opportunity to clarify Britain’s objective rather than reduce its ambition. A Minister for AI can bring different parts of government together, but the strategy should be judged by whether public institutions can use the best technology available while retaining meaningful control of the systems that matter most.

That is what will allow Britain’s AI ambitions to endure as departments, suppliers and technologies change.

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This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit

Have you been getting an unusual amount of spam calls recently? Automated voices asking you to add a number on WhatsApp? Don’t worry, it’s not just you.

The UK appears to be going through a sudden spike in spam calls and messages, but the reason why isn’t immediately clear. Luckily it seems many of them are following a similar script.

In the spirit of combatting the spam scourge, I’ve spoken to friends and colleagues about the types of messages they have been receiving to help you spot the legitimate calls from the illegitimate - and how spam filtering can help you screen calls before you answer.

Types of scam calls

From what I have gathered so far, there are a few different spam and scam call campaigns going around at the moment. Here’s what you might have heard:

• An automated voice saying “Please add me on WhatsApp”

By getting you to add the number on WhatsApp, these callers can then bypass spam filtering and allow the scam to continue. It also makes it much easier for scammers to pass on malicious files or links that are difficult to check before opening.

WhatsApp-based scams can sometimes be ‘task scams’ - where the recipient is offered a job testing services or apps for real money. These scams offer rewards that can be cashed out for completing tasks, but instead of banking your reward, they instead steal your financial information.

• Automated Phil

Automated Phil (who isn't always called Phil) will address you directly by name and ask you yes or no questions. In doing so, they will record your voice saying “yes” which they can then use to try to trick voice-recognition systems used by financial services and banks. When you receive a call such as this, never answer the question with “yes” and instead ask “who is calling?”

• Fake reps of companies offering introductory pricing/offers

These calls are usually people pretending to be representatives of mobile networks or internet service providers. They’ll ask if you’d like to hear about an offer, ask which network you are currently with, or tell you that someone has opened an account in your name. If you are expecting a call from your service provider, call back using the official number listed on their legitimate website instead.

• Calls from immigration regarding outstanding cases

A rather sinister scam call that is designed to create panic on the receiving end, hoping to trick the victim out of their senses to get a callback where the scam can continue.

In some scam calls, you may receive a voicemail and decide to call back, thinking it is a legitimate call from a friend or family member only to be greeted by a stranger who has no idea what is going on and is just as confused as you are.

The scammers could be using a legitimate Voice-over-IP (VoIP) service that allows an international call to pose as a number with the correct number format for where you live. This works by routing their call through the internet and delivering the call as a local number.

How did they get my number?

Hackers are largely indiscriminate when it comes to breaking into computer systems, and - unless it is a targeted attack - they often don’t know what company they have breached until they exfiltrate any data.

But some breaches are worse than others. Supply chain attacks may not necessarily hit the company that you gave your data to, but a different company that works with the victim company.

For example, a clothing brand will need to provide your email address or mobile number to a logistics company that handles delivery. That logistics company may handle deliveries for more than one clothing brand, so when hackers hit the logistics company they can steal all of the data from multiple brands.

But the recent rise in spam calls may not necessarily be caused by a new data breach.

In order to make some quick cash, some hackers will collect data from multiple separate breaches and organize them into one big file before offering it for sale. The data contained within this trove could be from months or years ago, but many of the email addresses and phone numbers will still be active and are a potential victim.

What can I do?

There are a few ways to stay safe when trying to navigate potential spam and scam calls.

If a caller claims to be from a service you use such as your internet or phone provider, always ask for their name and then call back the company using the official number listed on the website. If it was a legitimate call, you’ll be routed back through to them. If not, you’ll know for sure that it was a scam.

Your bank will never ask you to tell them your PIN or card reader codes over the phone, nor will they ask for your password or ask for money to be transferred to a new account that you haven’t set up. If you aren’t sure if it is a legitimate call, use the same technique as above to find out if it really is from your bank.

One key thing to keep in mind when getting a spam call: don't hang up.

If you receive a call that your phone marks as spam, let it ring until it stops. If you hang up before answering, it lets scammers know that the phone number is active and monitored, so they will likely call back or pass on your number to other scammers.

Alternatively, you can also set up call screening on most phones. Here is how to set up call screening on iPhone and Android:

How to set up call screeningHow to set up call screening on iPhone:

Call screening is only available on iPhone 11 and above running iOS 26 or later.

• Go to your Settings App
• At the bottom, tap Apps
• Scroll down and tap on Phone
• Scroll down until you see 'Screen Unknown Callers’
• Turn on ‘Ask Reason for Calling’

This will mean that any incoming call from a number that isn’t saved to your contacts will be asked for more information before your phone rings. This information will be displayed as plain text so you can see if the call is legitimate before answering. Just beware that calls from legitimate numbers will also be sent through call screening.

How to set up call screening on Android:

• Open the Phone app
• Tap the three vertical dots in the top-right corner
• Tap Settings and then tap Spam and Call Screen or Call Screen
• Turn on 'Automatically screen calls'

On Android, you will be able to select which calls are screened; maximum protection will screen all unknown numbers; medium protection will screen calls marked as suspicious and will outright decline spam; basic protection will not screen any calls and will only decline known spam.

If you've encountered a new spam or scam campaign not included on this list, leave us a comment below to help others spot the calls before they become victims.

The sleep tech company launched the smallest Pod of its lineup yet and introduced new sizes.

Not only did we have the season finale of Reacher season 4 hit Prime Video last week, but all eight episodes of spinoff series Neagley were released at exactly the same time.

Understandably, most fans hopped straight from one to the other, despite the two storylines contrasting in the most jarring way possible. While Reacher season 4 has followed a length political espionage plot, Neagley took the Amazon TV franchise back to its roots, exploring the mysterious death of a young man in the heart of Chicago.

If you asked me, I'd say that the two seasons are neck and neck. The pair is flawed for different reasons, yet feel like exactly the same show... especially as Alan Ritchson's Jack Reacher features heavily in both.

But, if you were to ask fans, there's a clear winner. In fact, Neagley is so "superior" to Reacher season 4 that, based purely on Reddit, Amazon should look to greenlight Neagley season 2 immediately.

'I'm always happy when a spinoff turns out to be better than the original'

"Neagley is superior to Reacher season 4 in nearly every way," one fan posted. "You can clearly see where the energy went from the overlapping schedules."

A second fan doubles down, writing: "Not nearly. Literally every way." But, what is it about the spinoff that makes it the better watch?

"I love the supporting characters and that they’ll continue working with Neagley. I really hope we get a season 2," one fan weighs in, which another adds, "Reacher 4 was all over the place. Too many characters. They should go back to the basic of season 1. Reacher in a small setting uncovering some nefarious activities."

"To me Neagley just felt overall better with the pacing and supporting actors, I even enjoyed the plot line more," a poster in a second thread agrees. "Maybe it’s just because it’s something fresh. We didn’t get to know too much about Neagley and I was intrigued by her past and seeing a badass female led role always makes me happy!"

Not only is Maria Sten's return to the titular role near flawless, but Neagley gets the IP basics right in a way that the already confirmed Reacher season 5 needs to pivot back to. Think smaller stakes, bigger impact.

Surely it's just a matter of days before we get the news we're waiting for. In the meantime, don't panic — ideas are already being formed.

"We have so many great action sequences in this show, and if we get another season, I want to build on that... make it even bigger. Continue to develop these characters, get them into trouble, and get them to face the consequences of their emotional problems," Sten told TechRadar.

• Microsoft is rolling out an in-app browser for the Copilot app
• When you open links provided by the AI, they'll appear side-by-side with the chat
• While this is likely to prove a convenient feature for some, others have their doubts, and there's an ulterior motive of sorts in terms of pushing Edge

The Copilot app in Windows 11 is getting its own browser, which means that when you follow links provided by the AI, you'll stay within the confines of the app.

Windows Central noticed that Microsoft is set to roll out the in-app browser for the Copilot app on Windows 11 (and macOS), where it will open links in a panel to the side of the chat.

Normally, links would be fired up separately in the default web browser, but with this change, Microsoft aims to keep more activity within the Copilot app.

This feature has been in testing since early this year, and is available for admins to enable now, with a "broader rollout" happening in late November.

If you use the Copilot app, then, you can expect to see this ability appearing in a couple of months (or maybe a bit longer depending on the pace of the rollout).

Analysis: edging forward

(Image credit: Shutterstock/Prostock-studio)

Obviously, there is an aspect of convenience here, as you can peruse web pages that Copilot highlights right there in the app window. Some folks might like the idea, then, but on Reddit, the feedback that's been shared has been pretty negative.

Windows Central poses a question for the story headline, namely: "Will this upcoming update make Copilot your preferred browser on Windows 11?" And the Redditors who can't resist replying to that query are all overwhelmingly negative.

One reply says: "No. Copilot is a scourge that I avoid at all opportunities. Having a browser inside Copilot sounds like Hell."

Another states: "Definitely not. As it is, if I click a link in Copilot I have it open it in my actual web browser. The built-in browser would have to be really good to get me to change that."

Okay, so it's a loaded question and one that AI skeptics are more than happy to jump on and shoot down – but these aren't the people that Microsoft is considering here. It's introducing this for folks who use the Copilot app, who, obviously enough, aren't part of the anti-AI crowd who are very quick to fire flak at anything related to the topic.

On the other hand, this isn't something Microsoft's doing purely out of the goodness of its heart. It's a way to keep more activity within the Copilot app, as noted, and also another method of (indirectly) pushing the Edge browser. Because naturally enough, that's what the in-app browser is based on (what else would it be).

That doesn't mean the feature isn't useful, though, and if you like the sound of the in-app browser for Copilot, you've not got long to wait.

A good mechanical keyboard can make long working days more fun, especially if you spend hours writing, coding or working with spreadsheets. The Keychron V6 Max offers a full-size layout, extensive customization and several ways to connect your devices.

• Best for: Writers, programmers and office workers who spend a lot of time typing and want a customizable mechanical keyboard with a dedicated number pad for Windows or Mac.

• The deal: The Keychron V6 Max wireless customizable keyboard is now $110 (was $120) at Amazon. In the UK, the cheapest price for the V6 Max is £92 (was £115) at Argos.

• Why it matters: This is the best mechanical keyboard for professionals that we've reviewed - our hardware editor has been using this everyday since he reviewed it in June without complaint. Its gasket-mounted construction, sound-absorbing foam, replaceable Gateron Jupiter Red switches and durable PBT keycaps offer plenty of options for customizing the typing experience.

V6 Max Wireless QMK Mechanical Keyboard: was $119.99 now $109.19
This keyboard features 108 keys, Gateron Jupiter Red switches, 2.4GHz wireless, Bluetooth 5.1, USB-C connectivity, QMK customization, gasket-mounted construction, double-shot PBT keycaps, adjustable RGB lighting and hot-swappable switch sockets.

In the UK: now £92 (was £115) at ArgosView Deal

Why we recommend it

The V6 Max has a gasket-mounted design with sound-absorbing foam, helping reduce typing noise and providing a comfortable typing experience.

Its double-shot PBT keycaps are designed to resist wear and prevent the lettering from fading, and it comes with pre-lubed Gateron Jupiter Red switches that provide smooth keystrokes without the tactile bump found on some mechanical keyboards.

The hot-swappable PCB supports most three-pin and five-pin MX mechanical switches, making it possible to experiment with different typing characteristics. And there's a volume knob you can tap to instantly mute your computer. It's an especially nice touch.

In his five-star review, our expert Steve said, "if I could, I’d sit at my desk all day and all night just to feel that pleasing feedback, listening to the satisfying clackety-clack as my fingers depress the keys. It might just be the best office keyboard I’ve ever used."

He also added, "For me, it’s one of the best keyboards around, perfectly positioned for productivity-minded professionals, students, programmers — effectively anyone who’s going to be spending a lot of time at their desk. On that score, it delivers an awesome experience."

Price context & historical value

The reduction from $119.99 to $109.19 represents a relatively modest saving of $10.80, or approximately 9%. That's not a huge discount, but any price cut on such a great keyboard is worth grabbing. I've seen it cheaper in the past, but only as low as $95.99, so you're paying just $13.20 more than the previous low.

Should you buy it?

✅ Buy the Keychron V6 Max mechanical keyboard if...

You regularly switch between several computers or want a keyboard that works across different operating systems. The V6 Max supports 2.4GHz wireless, Bluetooth 5.1 and wired USB-C connections. Bluetooth allows you to pair up to three devices, while the 2.4GHz and wired modes support a 1,000Hz polling rate.

❌ Skip the Keychron V6 Max mechanical keyboard if...

You have limited desk space or regularly carry your keyboard between locations. Its 108-key layout includes a dedicated number pad, so it occupies considerably more room than a compact mechanical keyboard.

• In the US: Shop all keyboards at Amazon
• In the UK: See all PC keyboards at Argos

Financial crime has never stood still. In my nearly three decades in financial services, I have watched fraud move in lockstep with the technology built to stop it, and at times, even stay a step ahead of it​,​ given the speed fraudsters adopt new technology.

I have witnessed decades of AI innovation ​that raised​ the bar on fraud detection, yet criminals continue to test those boundaries. Fraud remains a top consumer concern, with over ​87.5 million American adults experiencing a scam or financial fraud each year. That’s roughly one in every three American adults.

The question for financial institutions isn't whether AI has a place in fraud prevention​,​ but whether the AI they've deployed is built for the threat landscape they're facing today – and the one that's coming.

Compute has finally caught up with mathematical vision

For decades, data scientists working on fraud prevention had theories they couldn't implement. The ideas were sound, but the computers at the time weren't powerful enough to get the math done. That constraint no longer exists.

Historically, most fraud detection has been carried out by building a profile summarizing a customer's typical behavior using sophisticated features, a neural network, and the customer’s current transaction to flag transactions that are suspicious. It's an approach constrained by the computational limitations of time.

Today, access to GPU and other high-performance compute is changing the art of the possible. Rather than analyzing a transaction in the context of a profile, GPUs allow us to implement entirely new algorithms that can evaluate a customer's extensive transaction history in real-time as the transaction happens.

The result is a significantly sharper, more accurate prediction and far fewer false alarms that can delay or stop legitimate purchases​,​ eroding customer trust.

Built for one job, not every job

Thanks to greater GPU availability and computational power, we're now seeing new opportunities to support fraud prevention with a sequence-modeling transformer – not a generic transformer, but one purpose-built for transaction analytics and financial crime.

With a purpose-built transformer architecture that’s trained exclusively on financial transaction data and engineered for a single focused task, financial services institutions can detect financial crime in real time using deep personalization and the context of the customer transaction history.

These are not overarching ‘do everything’ models. They are focused foundation models purpose-built to deliver auditable, high-performing, low-latency generative AI for the fight against financial crime. Each of these models specializes in distinct areas, such as account takeover, scams, mule detection, and first-party misuse.

Independent models focused on their specialty allow for a more complete, accurate, and transparent picture than any single model working alone. And this is just the start​,​ as the same methodology applies to risk decisions, hardship, collections, and any application where understanding our customers leads to better engagement, protection, and service.

The future is now

The fraud prevention capabilities that will define the next five years are being built right now. Enterprises investing in protecting customers from fraud – both now and in the future – understand that purpose-built models, use of specialized compute, and AI agents are the path to protecting their customers.

The math protecting consumers today was invented decades ago by AI scientists who saw the potential in algorithms even before the compute and infrastructure existed. I've spent much of my career continually chasing that goal to ensure that the industry is ready to bring the best algorithms when compute shows up.

Some of my proudest work came from refusing to settle and trust that technology will catch up with AI invention and math. Every patent, every model, every AI experiment has served the same purpose: making sure the industry is ready to lead with the best AI tools once compute catches up with scientific invention.

That work is happening right now. The only question is whether ​​​​​​financial institutions are​​ part of it or racing to catch up.

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This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit

You typed a few prompts into an AI website builder and had a full site minutes later. It looks promising at first glance, but closer observation reveals it probably looks a lot like every other business in your industry.

Most people reach for these tools because they're short on time, budget, or both. You want something live today, without sinking funds into a six-week build from a developer. But there’s a substantial gap between going live and a website that actually works for your business. That’s exactly what my AI website customization guide covers.

Where do AI-generated websites fall short?

AI builders are trained on patterns from thousands of existing sites, so they tend to reproduce the same layouts and headline structures. One review of AI builders found that training on top-performing sites means the tools "find and copy the optimal design," which is efficient but produces cookie-cutter results. If a competitor used the same tool, your sites may look closer to twins than rivals.

The code underneath often carries its own baggage. AI-generated pages tend to ship with bloated CSS and redundant scripts that hurt Core Web Vitals scores, according to multiple industry analyses. This costs you twice, in visitors who leave and in search rankings that suffer for it.

Security is another potential blind spot among AI-generated sites. A recent scan of 447 live websites found that AI-built sites averaged 2.1 high-severity vulnerabilities each, compared with 0.7 for human-built sites, largely because the tools skip protections nobody explicitly asked for, like security headers and rate limiting. AI systems are good at building features that work, but far less reliable at adding safeguards nobody prompted them to include.

Then there's the content itself. AI copy tends toward vague, interchangeable phrasing, since the model is guessing at your specifics rather than pulling from verified facts, which can mean misstated details about your products or services. That doesn't make AI builders useless: it just means the output is a first draft, not a finished product.

7 tips for customizing AI-generated websites

The good news is that most of these problems are fixable without hiring a full development team. You're not starting from scratch. You're editing a draft, which is a much faster process than building a site from a blank page.

The tips below cover the areas that need the most attention once an AI tool finishes its pass. Work through them in order, since sorting out navigation first tends to make the later steps easier to spot.

#1 Rebuild the menu around what customers search for

AI builders often generate menus based on generic templates rather than how your customers actually think about your business. Important services can end up buried two clicks deep. Labels often use internal jargon instead of the words customers actually search for.

Walk through your own site as if you were a first-time visitor looking for your most requested product or service. If it takes more than two clicks to find, restructure the menu around that task rather than around your org chart. Test it on mobile too, since AI builders often collapse menus into hamburger icons without checking how usable they actually are.

#2 Cut the AI's boilerplate phrases

Look out for filler lines like "we provide high-quality, all-in-one solutions tailored to your unique needs." That kind of phrasing shows up constantly in AI drafts because the model has no specific facts to work with, so it defaults to language that could describe any business.

Replace it with details only you would know, like how long you've operated and what results real customers have actually seen. Specific language builds the credibility that generic phrasing can't. Reading each page out loud helps too, since AI phrasing tends to reveal itself the moment you hear it spoken back to you.

#3 Fact-check every price, spec, and product claim

AI models can invent plausible-sounding specifications, pricing, or availability when they don't have accurate source data to draw from. That's a real risk on e-commerce or service pages, where a wrong price or feature claim turns into a customer complaint later.

Go line by line through every product description, price, and spec sheet the AI generated. Cross-check each one against your actual inventory or service list before the site goes live. Pay close attention to anything the tool invented outright, like sizing charts or shipping timelines it had no real data to draw from.

#4 Swap the stock photos for real ones

The photos an AI builder pulls in are usually generic stock images chosen for visual polish rather than relevance to your business. Visitors have seen the same handshake-and-laptop photos on dozens of other sites. That sameness undercuts the trust you're trying to build.

Swap in real photos of your team, workspace, or product wherever you can. Even a handful placed in key spots, like your homepage and about page, makes the rest of the site feel more credible. A phone camera and decent lighting usually beat another stock photo of strangers shaking hands.

#5 Test every booking, payment, and CRM connection

Booking systems, payment processors, and CRMs often don't connect cleanly to AI-generated code, since the builder isn't working within a platform's standard hooks and APIs. Forms can silently fail to submit, or analytics tags can stop firing without any visible error.

Test every integration yourself: submit a real form, run a test transaction, and confirm the data lands where it should. Don't assume a feature works just because it appears on the page. Repeat the test after any major edit, since a single code change can quietly break a connection that worked fine the day before.

#6 Fill in the title tags and schema that AI skipped

Search engines and AI-powered answer tools rely on structured data to understand what a page is actually about, and AI builders frequently skip or half-fill this layer. Missing title tags and thin meta descriptions make it harder for your pages to surface in search results or AI-generated summaries.

Check each page's title tag, meta description, and heading structure. Then add schema markup for the basics, like your business address and hours, since this is one of the highest-value fixes on this list. A free tool like Google's Rich Results Test can confirm the markup is actually valid before you move on.

#7 Turn on two-factor authentication and audit your forms

Most AI builders leave meaningful gaps in default security configuration, including weak or absent security headers and missing rate limiting on login attempts. Privacy policies often read like placeholder text too, rather than an accurate account of what data you actually collect. Wix's own guidance to users flags two-factor authentication as the single highest-value fix available.

Confirm your SSL certificate is active and enable two-factor authentication on your admin account. Then remove unused contributor access and audit every form to make sure your privacy policy matches what you're actually collecting. Most of these checks take just minutes and rarely need repeating.

Should you generate websites with AI?

AI website builders solve a real problem by getting a functional site online without months of development time or a large budget. For a single-page portfolio, a quick landing page, or a proof of concept, the convenience outweighs the trade-offs.

A quick freelancer profile or a temporary event page rarely needs the same scrutiny as a site people will use to make a purchase decision. That’s why you should match your review effort to what's actually riding on the page. The more money or personal data changes hands there, the more that first draft needs a second look.

Tradeoffs show up as the site grows in importance. Convenience upfront translates into review time later, since the quality of the final result tracks closely with how much of that review you put in. Without review, a site tends to read as generic, sometimes with serious accuracy or security problems a customer finds before you do.

I always advise treating the AI output as a first draft rather than a finished site. Put in work so the result stops looking like a slightly different version of every other AI-built site out there. You should also budget time to check facts and close the security gaps the AI skipped on its own.

• Palantir CEO Alex Karp says frontier AI labs may end up nationalized because of the potentially unlimited liability they carry
• When asked how those risks could be disclosed in an S-1 IPO filing, Karp challenged the premise itself, saying: “You’re assuming that there will be an S-1.”
• His argument centers around the assumption that large AI-related liabilities ultimately require government intervention at some level, even as OpenAI's CEO Sam Altman ruled out an IPO in 2026, citing AI safety concerns

Palantir CEO Alex Karp has cast doubt on whether the frontier AI labs will ever reach the public markets.

A widely shared post on X by Guillermo Flor summarized Karp as saying OpenAI will never IPO, that there may be no S-1 in play, and that nationalization is the only real exit because the liability exposure from frontier AI is so large that "no public market could potentially absorb it."

His comments brought renewed focus on OpenAI and Anthropic, both of which have recently pledged to prioritize AI safety and "pacing the frontier" of development but have both released new versions of their AI models this week (GPT-6 Sol, Luna, and Opus 5.5).

A case made by focusing on potential liabilities

The comments come from Karp's September 17 appearance on CNBC's Squawk on the Street. In a transcript of the segment published by RealClearPolitics, a host asks how the liability Karp has been describing would be written into an S-1, and what the risk factors would sound like.

Karp's answer was one that sent shockwaves in an industry already pricing in potentially two trillion-dollar IPOs in the near future: "You're assuming that there will be an S-1. Okay. Maybe there will be."

He argued that the only way to handle that liability is to ask the government to nationalize said frontier labs, adding that companies often lead you to a conclusion rather than stating what they want outright.

The truth may be more complex: OpenAI confirmed on June 8 that it had confidentially submitted a draft S-1 to the SEC, while noting that some of what it wants to do is "likely easier as a private company." Anthropic made its own confidential submission a week earlier.

Neither company, however, has issued a public S-1 registration statement, using existing regulations to keep its financials private for now. OpenAI also pushed back its own timetable before Karp's statements. In an interview published by Fortune on September 12, Sam Altman said, "right now would be an ill-advised moment to go public," confirming there would be no listing in 2026 and citing safety and alignment work.

Not entirely an honest AI broker

This is not a new position for Palantir's CEO; in June, Benzinga reported that he spent six months privately warning AI executives about nationalization, telling an interviewer, "The momentum is on the side of people who want to nationalize them."

He also has a commercial interest in the argument, as Palantir sells software built on the premise that enterprises keep their data in-house, and in an August CNBC interview, Karp argued that businesses should control their own models and lean less on the frontier labs' token-based business model. On September 17, per Stocktwits, he again pointed to open models as a way for companies to keep control of their data.

His position rests on the belief that frontier labs carry liability only the government can absorb, that their appetite for regulation partly aims to limit that exposure, and that investors expecting blockbuster listings may be misreading the risk. Whether the delayed OpenAI IPO eventually culminates in some form of nationalization, regulatory oversight, or both remains to be seen.

What is certain, however, is that both Anthropic and OpenAI need billions of dollars to keep training their models and meet compute commitments in the near future, and they might turn to a source that seemed unlikely to some in the industry less than half a year ago: the US federal government.

• Samsung might not upgrade the RAM and storage amounts for the Galaxy S27 series
• This is likely due to the ongoing RAM and storage crisis driven by AI
• There's a chance that at least some models will use later UFS and DDR generations

If you were hoping the Samsung Galaxy S27 series would ship with more RAM or storage than the Samsung Galaxy S26 line then, well, you’re probably going to be disappointed, because the latest leak suggests there will be almost no changes on that front.

According to reputable South Korean leaker Lanzuk (via GSMArena), the Samsung Galaxy S27 and Galaxy S27 Plus will both ship with 12GB of RAM paired with a choice of 256GB or 512GB of storage. In the case of the Galaxy S27 Plus, that’s identical to its predecessor, and those configurations are also available with the standard Samsung Galaxy S26 — but that phone additionally comes in a 128GB capacity, which is absent here.

For the Samsung Galaxy S27 Ultra, you’ll apparently get 12GB of RAM alongside 256GB or 512GB of storage, but then there’s also supposedly a 1TB model with 16GB of RAM. This likewise is identical to the configurations you can get the Samsung Galaxy S26 Ultra in.

Finally, the rumored new Samsung Galaxy S27 Pro will apparently be sold in 256GB, 512GB, and 1TB configurations, all with 12GB of RAM. So despite this supposedly being a more compact version of the Ultra, it apparently won’t match that phone’s 16GB of RAM in the top configuration.

The same source does at least claim that some phones in the S27 series might use LPDDR6 RAM and UFS 5.1 storage, both of which would be significantly faster than the RAM and storage used in the Galaxy S26 line, but if so it would likely just be the top storage tiers that do.

Another thing you can blame AI for

Samsung might make both the flash memory and the phones, but that doesn't mean it's immune to the crisis (Image credit: Future)

All of this means that at least on the RAM and storage front, the Samsung Galaxy S27 series might not be much of an upgrade on the Galaxy S26 line, especially if you’re not paying out for the top configurations.

But that’s not really a surprise, as this is likely thanks to the ongoing RAM and storage crisis, fueled by demands from AI data centers. This is affecting most tech, with companies having to choose between limited RAM/storage upgrades — and sometimes downgrades, or higher prices… or both.

So the one upside of this is that if Samsung does keep the RAM and storage at current levels, that might help keep the price of the Galaxy S27 series under control. But with Qualcomm’s latest chipsets reportedly costing more than previous generations too, we wouldn’t be surprised if Samsung’s next flagships still end up with higher price tags than the current ones.

Someday, AI agents will buy you anything you want — or what they think you want. Here’s how the chipmaker for top Android phones thinks that may work.

Coffee people don’t mess around when it comes to water. Here’s one of their top tricks for optimizing H20.

• Data centers will get a label, just like your fridge or dishwasher
• Energy and water consumption must be reported by 500kW+ sites
• The EC also wants to know how resources are being balanced in relation to local strains

The European Commission has proposed a new rating scheme for data centers in a bid to have them report metrics like energy efficiency and water consumption more transparently.

Upcoming changes fall under the new Data Center Energy Efficiency Package, which introduces a new common, EU-wide rating scheme much like what we're already familiar with for household appliances.

Crucially, the changes now affect smaller campuses with a power demand of at least 500kW, whereas only much larger sites were impacted before the new rules.

European data centers must report efficiency statistics more openly

Some of the new metrics include total energy and water consumption, Power Usage Effectiveness (a figure we're already familiar with in hyperscalers' annual sustainability reports), Water Usage Effectiveness (WUE), how much of their energy comes from renewables, whether waste heat gets reused and more.

Ultimately, the intensified reporting is hoped not only to reveal how much energy sites are using, but how effectively they're balancing consumption in relation to local pressures like water stress.

"Tripling our data centre capacity cannot mean tripling the pressure on our grids, our water and our energy bills," Clean, Just and Competitive Transition EVP Teresa Ribera said.

The changes are also especially notable given ongoing changes within the bloc, because the EU has been ramping up more local compute options so as to reduce reliance on international options in a big sovereign drive. Over the next seven years, the EU wants to triple its data center capacity, per Reuters reporting.

Importantly, the changes won't happen overnight with the rating scheme subject to a two-month scrutiny window, the Commission detailed. Still, the first ratings are set to go live as early as this year, and by the end of 2028, the EU hopes to have reviewed just how effective those new enforcements were.

"Understanding their energy and resource consumption is the essential first step towards integrating them sustainably into our energy system," Energy and Housing Commissioner Dan Jørgensen added.

• Vivo launched the flagship X500 series of phones, with three new models
• A new monitoring screen comes in the X500 Pro Max photographer's kit, or it can be purchased separately
• At launch, all the phones and accessories are China-only, with a wider rollout TBD

Vivo quietly launched a really neat accessory alongside its new flagship X500 series of phones — an ultra-slim and light Bluetooth monitoring touchscreen — and, having paired it with the new X500 Pro Max, I wish it were compatible with my phone.

The monitoring touchscreen, aka a selfie screen, mirrors your phone's camera app, complete with touchscreen control over key camera settings and subject tracking, and can be attached to the phone magnetically or used as a remote monitor within its Bluetooth range.

Why not just use your phone's selfie camera instead, you ask? Well, the quality of the rear-facing selfie camera is always inferior to the front-facing cameras, as are the camera settings available.

A selfie screen, on the other hand, unleashes the device's superior front cameras — in the case of the Vivo X500 Pro Max, a triple array including a 50MP main camera and a 200MP 3.5x telephoto camera.

We've seen this kind of selfie screen tech before; Insta360's Snap Selfie Screen comes to mind. However, it needs a cable to connect to a phone, it has an annoying protective cover that flaps around when the screen is in use, and the display is smaller and harder to see. The new Vivo accessory, however, is better and more sophisticated in every way.

The selfie screen without its magnetic rubber caseTim ColemanTim ColemanTim ColemanTim ColemanThe dedicated case Vivo makes to magnetically attach accessories such as the selfie screenTim ColemanThe best mobile accessory for 2026 so far?

Vloggers should take note of Vivo's new selfie screen. For one, it can snap onto the device magnetically, or be used by hand, so long as a Bluetooth connection is possible. No cable needed.

Used as a remote monitor, you can position your phone somewhere, say, on a tripod, and then walk into the shot and see what your phone is seeing, no cameraperson needed. (Great for group photos as well, by the way.)

It's clearly a trend — the Insta360 Luna Ultra vlogging camera features a removable touchscreen and controller module (which also has a built-in mic), while DJI launched a remote controller with a screen for its Pocket 4 series.

Whether used remotely or attached magnetically, the Vivo selfie screen's 3.92-inch AMOLED display with 419 pixels per inch (PPI) is clear and crisp. It’s also super light and thin, measuring just 5.65mm thick and weighing 68g — you'll barely feel it on the phone.

Tim ColemanTim ColemanTim ColemanTim ColemanTim ColemanTim Coleman

It has a USB-C port for charging, plus three side buttons, including a recording button and one for adjusting the screen's brightness levels. Otherwise, that's it.

What's unclear at this stage is which devices are compatible with the monitoring screen, besides the Vivo X500 series, if any.

There’s one major drawback to using it with the Vivo X500 Pro Max — neither device is MagSafe, meaning you need a dedicated case for the phone and monitor for them to stick together!

Vivo sells a case (and the monitor) separately, or they're included in a photographer’s kit which also includes two teleconverter lenses. Meanwhile, the monitor is supplied with a magnetic MagSafe-style rubber case. Vivo says the monitor costs 699 Chinese Yuan (a price conversion is $105 / £78 approximately, though international pricing will be higher).

Tim ColemanTim Coleman

Compared to the other similar devices I've tried, I found the Vivo vlogging monitor lighter, has a clearer display, and I appreciated its wireless connectivity, with options for remote or MagSafe-styler setups.

If you ever shoot selfie content and wish you could more easily use your phone’s superior front camera, then a selfie screen is a great option, and Vivo looks like it has just made the best one. If it turns out to be compatible with your device, then it could be the best phone accessory you buy all year — I'll update this page once I know more about the availability and compatibility of the screen.

Qualcomm’s Snapdragon 8 Elite Extreme Gen 6 chip will be in the top phones of 2026 and 2027. Here’s what it can do.

If there's one thing I've learnt in the last decade of testing some of the best robot vacuums in Australia is that not all of them are made equal. Some have excellent performance and software while others, despite a premium price tag, disappoint on testing.

However, as you can probably tell from my Ecovacs Deebot X8 Pro Omni review, I really liked how well this robovac performed in my tests. It wasn't perfect, but it cleaned and navigated well. Sadly, though, Ecovacs seems to have discontinued it, although stock is still available at retailers like JB Hi-Fi and The Good Guys, listed for AU$1,999.

It has now been replaced by the Ecovacs Deebot X8 Max Pro Omni (please note the 'Max' moniker here) which, despite a very similar name is a slightly different model. I much prefer its design aesthetic over the previous X8 Pro Omni — which was rather boxy — thanks to rounded corners that make the dock look sleeker.

Other than that, the newer model has slightly lower suction power (16,600Pa compared to 18,000Pa on the X8 Pro Omni), but it now boasts a better anti-tangle brush system and a faster rotating roller mop. It can also independently raise the side brush when necessary to avoid scattering.

These upgrades mean it has an RRP of AU$2,599 (AU$100 more than the X8 Pro Omni at launch) but, in better news, it's now on the receiving end of a massive 65% discount on Amazon — down to just AU$899.

Deebot X8 Max Pro Omni: was $2599 now $899
A whopping 65% discount is absolutely nothing to scoff at. And yes, I admit I can't vouch for this model myself as an expert, but Amazon users seem happy with its performance, although some of those reviews are incentivised. Non-Vine users have also claimed it's a good buy and, given how impressed I was with the X8 Pro Omni, I think this will work just as well.View Deal

The slightly lower suction power on the Deebot X8 Max Pro Omni is neither here nor there in real-world use. Robovacs with even lower suction can perform just as well as models with upwards of 20,000Pa of suction as pulling power is highly dependent on airflow through the device.

In my tests I found that the X8 Pro Omni was able to vacuum remarkably well, but I was even more impressed by its mopping — and this Max model has the exact same roller mop mechanism as the older bot. In fact, I find rollers to be the better cleaners than rotating dual mop pads for a couple of reasons: they scrape along edges better and are able to use more water and actually mop rather than (dry) wipe as circular mop pads are wont to do.

I had no issues with navigation or obstacle avoidance with the older model, and I'm confident that since nothing other than the suction has changed here, the Max will be a good investment for anyone keen on a capable set-and-forget robot vacuum.

I would even go so far as to say not to wait until the Amazon Prime Big Deal Days sale next week as I don't think this vacuum will drop lower in price — AU$899 is an all-tine low that we first saw in August this year, long after the main Prime Day sale in July.

• Chinese universities are cutting traditional courses because of AI
• Translation courses face pressure as universities reassess their employment value
• Photography programmes are being merged as AI changes creative production

The Central Academy of Fine Arts has dropped courses in illustration, photography and translation, arguing that AI has made them poor value for money.

Fashion design degrees are also being scrapped, with universities saying the future rests on close cooperation between people and machines in creative work.

The changes follow a state campaign to direct learners toward chips, robotics and AI, industries the authorities regard as vital for national prospects.

Universities are cutting courses at scale

From 2021 to 2025, Chinese universities closed or paused 12,200 undergraduate programmes and launched roughly 10,200 fresh programmes.

The restructuring affected over 30% of undergraduate programmes nationwide, and arts, humanities and language courses absorbed the heaviest cuts.

A survey of 70 universities found cuts to five translation majors, eight Japanese majors and five German majors among language programmes.

Alex Shi launched her creative career with a degree that trained her to translate and interpret English, and says such courses could soon vanish, as the cuts overlook the wider skills underlying translation, including communication and critical thinking, which extend beyond producing accurate text.

Shi concedes that AI could bring translation accuracy almost to perfection, yet maintains that interpreting demands far more than converting words between languages.

“There’s still that personal style that’s always been essential in translation,” said Shi.

The Communication University of China has reportedly closed five programmes, among them visual communication design, comics and photography, according to a report on its overhaul.

“Traditional photography major can no longer exist as an independent discipline… today everyone can be a self-media creator and recorder,” said Liao Xiangzhong, top official at the Communication University of China.

Liao later clarified that the majors were merged into other disciplines instead of being cancelled outright, with photography absorbed by film and television photography.

New film roles and hybrid courses

New roles such as prompt engineer and AI animator are emerging in film and animation, where AI is also creating fresh openings alongside the closures.

One industry worker says designing characters or scenes once took a month, but with AI, a complete project can now be delivered in that time.

Degree programmes in intelligent imaging art, intelligent audiovisual engineering, and intelligent engineering and creative design have been launched by some schools.

Universities are also launching hybrid courses in which artistic instruction sits beside AI training, while some standalone degrees are being scrapped across the sector.

That shift is changing what employers expect from graduates entering translation, design, photography and film production.

For students, traditional qualifications may increasingly need technical skills that allow them to work alongside automated creative systems.

The result is a university system where some familiar degrees disappear while new AI-focused programmes take their place.

Via Al Jazeera English

Here at TechRadar, we have our own ranking of the best tablets around. So when I discovered it was possible to view a list of Amazon's best-selling tablets, I was intrigued to see if it bore any relation to the tablets we regarded most highly.

There are some obvious points of deviation. We tend to focus on tablets for adults, and there are a number of kid-focused models in Amazon's ranking. Similarly, whereas Amazon bundles ereaders in with tablets, we have them in a separate best ereader ranking.

It also makes sense that Amazon's own models sell especially well on the platform, given that they tend to get the best discounts. I'm not surprised to see the Kindle Paperwhite taking the #2 spot, for instance, when we put two Kobo models above it in our list.

Although the iPad (A16) 11-inch — Amazon's #1 bestseller — isn't our favorite tablet, we still scored it very highly in our review. We were less enamored with Amazon's #3 slate, the Fire HD 10 (2023), awarding it three stars and declaring it "only smoldering". It is, however, relatively cheap, which helps explain its popularity here.

Scroll down for a list of Amazon's best-selling tablets (as of 22 September, in the US), in order. Hit the View details button to see what we thought of them in our real-world testing — and learn which ones are worth buying.

Top tablets

Apple iPad (A16) 11-inch

Read our full review

Pros

• A16 chip is very capable
• Now starts with 128GB of storage
• iPadOS 18 runs smoothly here

Cons

• No major changes over the previous generation

Amazon Kindle Paperwhite 12th Gen 2024

Read our full review

Pros

• 7-inch display is great
• Fastest Paperwhite yet
• Excellent battery life

Cons

• Expensive for a mid-range ereader
• Ads on lock screen in some markets (unless you pay extra)

Amazon Fire HD 10 (2023)

Read our full review

Pros

• Cheaper than many rivals
• Incredibly hardy
• Handy Alexa command center

Cons

• Tiny changes from 2021 model
• Stuck to Amazon ecosystem
• Lots of unremovable apps

Apple iPad 10.2 (2021) (renewed)

Read our full review (non-renewed version)

Pros

• Excellent value
• Upgraded selfie camera for video calls
• True Tone display

Cons

• No Face ID
• Doesn’t support newer accessories
• Lacks recalibrating speakers

Amazon Kindle Paperwhite Signature Edition (2024)

Read our full review

Pros

• Snappier interface means faster menus and smoother zooming
• The best e-reader if you buy books from Amazon

Cons

• Design feels out-of-date and cheap, lacks buttons
• Once you see the Kindle Colorsoft, it’s hard to go black and white

Samsung Galaxy Tab A11 Plus

Apple iPad Air M4 11

Read our review of the 13-inch version

Pros

• M3 chip provides plenty of power
• Vibrant screen
• Strong battery life and audio

Cons

• Still no ProMotion display
• No major changes to design

Amazon Fire 7 Kids Edition

Amazon Fire HD 8 Kids Pro tablet

Amazon Fire HD 8 Tablet

Apple 9.7in iPad (early 2018) (renewed)

Read our full review (non refurbished model)

Pros

• More affordable
• Good screen quality
• Powerful for the price

Cons

• Apple Pencil costs extra
• Design unchanged

Apple iPad Air 13-inch (M4)

Read our full review

Pros

• M4 chip delivers excellent performance
• Vibrant, sharp screen
• Great cellular and Wi-Fi connectivity

Cons

• No major design changes
• No ProMotion display

Amazon Fire HD 8 Kids (2024)

Read our hands-on review

Pros

• Cheap HD screen
• Rugged build
• Fantastic warranty

Cons

• Amazon app store is somewhat limited

Apple iPad Mini (A17 Pro)

Read our full review

Pros

• Perfectly portable
• Excellent build
• Lovely screen
• A great Pencil Pro companion

Cons

• Pricey for the size
• Aging design
• FaceTime camera still on the short side of the screen

NOVOJOY 10-inch Android Tablet

Samsung Galaxy Tab S10 FE (Wi-Fi)

Read our full review

Pros

• Slight yet sturdy water-resistant build
• Bold, vibrant display
• Innovative productivity tools
• Lengthy 20-hour battery life

Cons

• Screen not the brightest
• Middling gaming performance
• Somewhat creepy Face Effects