TechRadar News

After a fairly competitive preorder phase, the brand-new Samsung Galaxy Z Fold 8 Ultra, Samsung Galaxy Z Fold 8 and Galaxy Z Flip 8 are all officially available. And while many of those pre-release offers are no longer available, several launch deals are live now at various retailers and mobile networks. I've picked out the best value options right here.

The official Samsung store remains one of the best places to go in the US, offering a hefty trade-in rebate of up to $1,000 or a flat $200 in Samsung credit without a trade. As for the networks, T-Mobile remains my number one pick, as it still offers a massive discount of up to $1,900 on the Z Fold 8 when you trade in and add an eligible line — that's the biggest rebate out there and one of the largest ever seen for a new phone launch.

The UK deals aren't quite as attention-grabbing as many of the trade-in rebates have been reduced, but there are some good savings out there on all of the new devices.

Again, the official Samsung store is a smart place to start, with trade-in discounts of up to £752, extra savings on larger storage models, and freebies when you bundle in some network plans. Meanwhile, networks such as Vodafone and O2 offer the largest trade-in savings, or you can get a free Samsung Galaxy Watch 9 at Sky Mobile.

I'll keep an eye out for all the latest Samsung Galaxy Z Flip 8, Galaxy Z Fold 8 and Galaxy Z Fold 8 Ultra launch deals over the next few days in case any better offers go live. Hopefully there will be a combination of phone and plan that suits you.

Samsung Galaxy Z Flip 8 and Z Fold 8 deals in the US

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: up to $1,000 off with a trade-in or $200 off without
Samsung's offer on its new Flip and Fold range include trade-in rebates of up to $1,000 for the Fold 8 and up to $400 for the Flip 8 — that's $200 less than the preorder phase. Still, if you don't have a phone to hand over, you can still get a flat $200 in Samsung credit when buying the Fold 8 or $100 with the Flip 8. There are also bundle discounts of up to 15% when buying other accessories at the same time.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: up to $1,900 off the Galaxy Fold 8 Ultra with a trade-in and qualifying line
T-Mobile's launch offer for the new Samsung Galaxy Z Flip 8 and Fold 8 includes a saving of up to $1,900 on the Fold 8 Ultra when you trade in — that will effectively bring the price of the device down to $100. You will need to add a qualifying line to your account at the same time, such as the Experience Beyond plan.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: get a Galaxy Z Fold 8 for $60 a month
The standout launch deal at Verizon is the Samsung Galaxy Z Fold 8 for $60 a month on a 48-month contract — and that's with no trade-in required, either. If you are looking to upgrade, you can get up to $1,100 off with a trade-in, and even add a Galaxy Watch 9 or Galaxy Tab S10 FE for free when you buy a new phone or upgrade.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: get the Galaxy Z Fold 8 for $0 with an eligible trade-in
AT&T's standout offer on Samsung's new foldable line-up is this offer that can get you a Z Fold 8 for free when you trade in an eligible device and sign up for an eligible unlimited plan. You can also add a Galaxy Watch9 and Tab A11 Plus for $1.99 per month each with a new line, and get $200 off a new line when you order online.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: get an extra $400 with a trade-in, plus a $350 Amazon Gift Card
One of the stronger options if you just want to buy a device outright is at Amazon. As well as a savings bonus of up to $400 when you trade-in, you also get a gift card worth up to $350 with Samsung's latest foldable handsets. There's also a bundle that includes a pair of Galaxy Buds 4 Pro with a 10% discount.View Deal

Samsung Galaxy Z Flip 8 and Z Fold 8 deals in the UK

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: up to £752 off with a trade-in, and an extra savings on larger storage models
The launch offer for the Galaxy Z Flip 8 and Fold 8 range at the official Samsung store includes a discount of up to £752 when you trade-in and an extra saving of up to £170 on larger 512GB or 1TB storage models. Contract options are also available from £10 per month and from £249 upfront. Finally, six months of Google AI Pro are included with all handsets.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: from £51 per month, up to £528 off with a trade-in
Offers for the Galaxy Z Flip 8 and Galaxy Z Fold 8 start at £47 per month at EE on the 125GB Essential package. If you have a phone to trade in, you can also get a saving of up to £528 across all three devices, plus there's the option to add a Galaxy Watch 9 and save £288.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: trade-in to save up to £1,550
Vodafone's is offering its biggest ever trade-in deal for the Samsung Galaxy Z Fold 8 and Fold 8 Ultra, with savings of up to £1,550 when trading in an eligible device. You can also get up to £1,130 off the Galaxy Z Flip 8 with a trade-in. Unlimited data contracts then start from £31.92 per month and from £40 upfront.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: up to £1,325 off with a trade-in
Trade-in offers at O2 include savings of up to £1,325 on the new Galaxy series devices when you pair them with an Unlimited Classic or Unlimited Plus plan.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: save up to £1,478 with a trade-in and get unlimited data
Three's trade-in offer for the Samsung Galaxy Z Flip 8 and Fold 8 includes a discount of up to £1,478 when you hand in an eligible device. An extra £100 cashback is also available if you pair your device with a Samsung connected tablet, watch, or PC.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: up to £796 off with a trade-in, plus free Galaxy Watch 9
Over at Sky Mobile, you can save up to £796 on the Samsung Galaxy Z Flip 8, Fold 8, and Fold 8 Ultra when you trade in your existing handset. Contract prices with a handset start at £38 per month and £12 upfront for 256GB of data. As a bonus, every Galaxy Z Flip 8 order includes a free Galaxy Watch 9 (40mm) worth £349, while a Galaxy Z Fold 8 order comes with a free Galaxy Watch 9 (44mm) worth £379.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: from £39.99 a month, plus get £100 in Clubcard points
Rather than the big trade-in savings offered by others, Tesco Mobile is going strong on zero upfront costs and low monthly prices for its launch deals, with prices starting at £39.99 for 6GB of data. These offers are exclusively available for Clubcard members, and you get £100 Clubcard points with your order.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: get an extra £100 when you trade-in and another £100 with a discount code
If you have a device you want to trade-in so you can upgrade to one of Samsung's new foldables, then Currys might be a decent place to buy. The retailer is offering an extra £100 when you trade-in an eligible and working handset and pick up a new Fold 8 or Flip 8. Plus, you can use the code 'FOLD100' to get an extra £100 off at the checkout.View Deal

Samsung Galaxy Z Flip 8 / Fold 8 / Fold 8 Ultra: up to £1,000 off with a trade-in and get £50 when paired with a Watch 9 or Watch Ultra 2
Another option to buy the phone outright is at Amazon, where you can also get up to £1,000 off the new devices when you trade-in. If you want to bundle it with the new Galaxy Watch 9 or Galaxy Watch Ultra 2, you'll also get £50.View Deal

Recruitment has long relied on signals that serve as proxies for candidate skillsets: degrees, previous job titles, years of experience, and employer names. Those indicators don’t always show whether someone actually has the skills needed for the role they’re applying for. As AI reshapes work, businesses need clearer evidence of what people can do.

This imperative has led to a drastic shift in hiring norms In the UK, 99 per cent of employers are using skills-based hiring in some capacity, according to research. At the same time, 58 per cent expect more than a third of core job skills to change by 2030. Recruiters now need to hire for current requirements while also thinking about how roles are likely to evolve.

For hiring teams, five changes stand out.

1. Hiring is becoming more skills-first

AI is accelerating the move away from degree-first evaluation. When tools, business needs, and ways of working change quickly, employers can’t just rely on static indicators of academic achievement. They need to know whether candidates have practical, current and job-relevant skills.

Degrees still retain significant signaling value. A degree offers an essential foundation, particularly for critical thinking, communication and domain knowledge. But employers increasingly want additional proof that a candidate can apply those strengths in workplace settings.

For recruiters, job descriptions and selection criteria need to become more skill-oriented. Instead of asking for broad experience in a field, businesses should define the specific capabilities needed for the role: data analysis, AI literacy, cloud computing, cybersecurity awareness, project management, or the ability to interpret AI-generated outputs. A clearer skills profile can also help organizations identify strong candidates who have not followed traditional pathways.

2. AI credentials are changing how experience is weighted

Experience still carries weight, but AI is changing how that experience is judged. In fast-moving areas such as generative AI, data, and cloud, a candidate with recent, verified learning may be better prepared than someone with greater experience but outdated skills.

That’s why 42 per cent of UK employers say they would choose a less experienced candidate with a GenAI credential over a more experienced candidate without one. It shows how quickly the value of verified AI capability is rising.

This has practical implications for recruiters. Years of experience shouldn’t be treated as a signifier of readiness. In some roles, recent evidence of applied learning may be more useful. The challenge is to distinguish between candidates who’ve completed primarily theoretical training and those who can show they’re ready to apply what they’ve learned.

3. Verification is becoming more important

AI has made it easier for candidates to produce polished CVs, cover letters and portfolios. It has also made it harder for employers to know which evidence to trust.

This is likely to increase the value of credentials that verify skills to employers. In the UK, 95 per cent of employers say micro-credentials help identify candidates with real-world, applied expertise in areas such as AI, data, and cloud. That matters because recruiters need evidence that can stand up to scrutiny.

The most useful credentials are those that assess applied skills, rather than only content completion. Employers will increasingly look for evidence that a candidate has built something, solved a practical problem or completed a project relevant to workplace needs.

Recruitment teams should reflect this in their processes. CV screening should be supported by practical assessments, structured interviews, and work-sample tasks. This blended approach will make decisions more accurate.

4. Recruiters need to assess human judgement alongside AI skills

AI literacy is becoming a common requirement, but it is insufficient to simply possess technical knowledge, particularly for those deploying AI in non-technical roles. Businesses need people who can work effectively with AI, including knowing when to question it.

As AI becomes embedded in everyday work, candidates will need to show that they can evaluate outputs, check sources, spot weak reasoning, and apply context. A candidate who accepts AI-generated content uncritically will introduce risk, irrespective of technical proficiency.

This adds novel new stages to the assessment process. Recruiters may need to ask candidates to critique an AI-generated response, improve a flawed analysis, or explain what further evidence they’d need before making a decision. These exercises can reveal whether someone has the judgement and domain expertise required to use AI tools responsibly.

For many roles, the differentiator won’t be whether a candidate can prompt a system: it’ll be whether they can turn AI output into sound business action.

5. Skills-first hiring must complement skills-first training

AI is compressing the shelf-life of skills. If, as expected, over a third of core skills will change by 2030 for many UK employers, hiring alone will not be enough to keep pace. In fact, 74 per cent of tech leaders acknowledge they cannot depend on new hires alone to fill AI skills gaps. That means skills-first hiring needs to become part of a wider talent development framework.

The same approach that helps recruiters identify the capabilities needed for a role can also help businesses map the skills they already have, spot gaps across the workforce, and create clearer routes for employees to build the capabilities the organization will need next.

Some capabilities will still need to be brought in from outside the organization, particularly in fast-moving areas such as AI, data and cloud. But many skills will also need to be developed internally as roles evolve. The strongest businesses will combine skills-based hiring with ongoing upskilling, giving employees clear routes to adapt as roles change.

The new recruitment advantage

AI is changing what employers need to know about candidates. Businesses that can identify real capability, verify applied skills, and recognize potential beyond traditional signals will be better placed to hire well. The value of this approach is already visible in workplace outcomes. 92 per cent of employers say entry-level hires with micro-credentials perform better in their first year on the job.

For candidates, the message is just as clear. In an AI-enabled labor market, employability will depend less on what someone once learned and more on what they can prove they can do now, and the evidence they’re still learning.

For employers, recruitment needs to become part of a broader skills strategy. AI may be changing the work, but the hiring challenge remains human: finding people with the skills, judgement and adaptability to help businesses compete and innovate.

We've featured the best website for hiring niche employees.

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

Apple unveiled the very first Mac Pro 20 years ago today, dubbing the computer “the ideal system for the most demanding user.” It was the last Mac to make the transition to Intel processors and put the final nail in the coffin of its PowerPC predecessor — quite a statement at the time.

In fact, the Mac Pro was so powerful that it doubled the performance of the Power Mac G5 that had launched less than a year earlier. Talk about earning that “Pro” moniker.

Many different iterations followed, but the one constant was the positioning. The Mac Pro was always the Mac you went for if money was no object but power was an imperative. It was, seemingly, a computer for the ages.

Or not, as it turned out. In March 2026, Apple officially discontinued the Mac Pro and said it had no plans for any future models. It was an ignominious end to the most powerful Mac Apple has ever made.

The very nature of the Mac Pro had always made it vulnerable. But that vulnerability proved to be fatal when combined with market conditions that even a giant like Apple is struggling to deal with today. When we look back at why the Mac Pro (just) failed to make it to 20 years old, there’s one very obvious culprit.

A dangerously niche product

(Image credit: Joseph Greve / Unsplash)

Right from the off, the Mac Pro was designed to be used by people in challenging professions who valued performance above all else. It was made to complement the eye-watering powers of the best Intel chips of the day, which offered far more in the way of output than the PowerPC processors Apple had previously been using.

That meant that the Mac Pro was always a niche product that flaunted its raw power. That was the point of the machine, and although the general public liked to poke fun at its sky-high prices (remember the $400 wheels on the 2019 model?), its intended audience didn’t much care. When your work consists of high-grade film productions, artificial intelligence (AI) data crunching or similarly demanding pursuits, high prices are just the cost of doing business.

But that niche nature meant the Mac Pro was never going to sell on the scale of the MacBook Air or the MacBook Pro. Apple was always taking a calculated risk, determining that it was worth going after a small but loyal audience who craved the Mac Pro’s power and reliability — and would continue to do so over the years.

The problem, though, was that Apple often seemed to take these users for granted. The cylindrical model introduced in 2013 — nicknamed the “trash can” Mac Pro for its tubular shape — went years without an update because, Apple later admitted, the company had “designed ourselves into a bit of a thermal corner”.

Amazingly, the 2013 model wasn’t updated until six years later — a veritable lifetime in computing terms — when the final design iteration of the Mac Pro finally touched down.

The introduction of the Mac Studio also caused a massive problem for the Mac Pro. Its performance was just as good as the Mac Pro, if not better, yet it came in a smaller package that cost far less. The choice for many people was clear.

With the transition to Apple silicon, add-in extras like the Apple Afterburner Card were no longer feasible, meaning the Mac Pro’s only real advantage was its inclusion of a few expansion options like PCIe. But when you’re paying a minimum of $6,999, those returns make less and less sense when compared with a Mac Studio.

Apple had long walked the fine line between infrequent updates and outright abandonment, but still it kept chugging away at the Mac Pro, even after the Mac Studio’s arrival. Instead, it was an external force that finally killed off the Mac Pro — and forced a complete rethink from Apple.

Buried in the dark

(Image credit: Apple)

On March 26, 2026, news emerged that Apple had discontinued the Mac Pro. The company explained to 9to5Mac that it also had “no plans to offer future Mac Pro hardware,” seemingly sounding the computer’s death knell for good.

The timing might have seemed strange, and it certainly seemed to come out of the blue. But with the benefit of hindsight, we can gain a pretty good idea of what happened and why Apple made the move when it did.

That’s because just three months later, Apple announced bombshell price rises that affected nearly every device it sold.

The Mac range was badly hit, with high-end devices like the Mac Studio coming in for particularly stinging increases. That device saw the single highest price jump by far, rocketing up by a painful $1,300 for the M3 Ultra model. The MacBook Pro, meanwhile, rose $300, the second-highest dollar increase of any Apple product.

These price adjustments weren’t made on a whim. No, they were prompted by the widespread component crisis that’s currently ravaging the entire computing industry.

Parts are getting more expensive by the day thanks to the overwhelming demand from AI data centers. Things are so bad that Apple CEO Tim Cook spoke out, calling the situation “unsustainable” and describing his company’s price increases as “unavoidable”.

(Image credit: Far Chinberdiev / Unsplash)

When you see how badly pro users were affected by these changes, Apple’s decision to ditch the Mac Pro starts to make a lot more sense. If the Mac Studio now costs $1,300 more than it did previously — a figure that ballooned by almost 33% — what kind of wince-inducing costs would Mac Pro users be faced with had Apple continued to sell the device?

Going with that same 33% jump, we could have been looking at a Mac Pro that started at around $9,299. That’s a roughly 33% step up over the Mac Pro’s old entry price of $6,999. And we’re not even talking about any upgrades here — no beefed-up CPU or additional storage, not even any ultra-premium wheels. Just the base-level Mac Pro and nothing more.

When you think about it like that, it’s obvious why the Mac Pro was killed off just shy of its 20th anniversary. If Apple waited for the computer’s birthday, it would have been forced to escalate its price to frankly outrageous heights alongside all the other affected products.

And in the cut-throat world of business, that would have been a no-go considering the prices we’re talking about here. The Mac Pro was already selling in vanishingly small numbers. Boost its price by 33% — or even 20% — and its sales would have fallen off a cliff. The only thing a move like that would have generated is a torrent of bad press for very little positive return.

So in the end, Apple didn’t afford the Mac Pro a sentimental 20th birthday celebration. Given the ongoing memory crisis and its wide-ranging effects on the entire computing industry, there was no room to stand on ceremony. The Mac Pro was buried in the dark — before its price could become even more contentious.

• Kit Connor has reportedly joined Marvel's new X-Men movie
• The Heartstopper star is said to be playing Scott Summers/ Cyclops
• He joins Sadie Sink and Samara Weaving as part of the hotly-anticipated MCU film

Marvel has reportedly found the star it wants to portray beloved X-Men member Scott Summers/ Cyclops in its cinematic universe.

Per Deadline, Heartstopper actor Kit Connor has been hired to play the mutant group's in-the-field leader. Typically, Marvel hasn't commented on the report, but Deadline is extremely reliable when it comes to casting updates. It stands to reason, then, that Connor is the latest star to land a role in the Marvel Cinematic Universe (MCU).

If true, Connor will be the third actor to sign on for the new X-Men movie. Sadie Sink, who was confirmed to be the MCU's version of Jean Grey in Spider-Man: Brand New Day, is all but locked in for a role in Marvel's mutant-starring flick. Meanwhile, Samara Weaving was reportedly cast as popular superhuman Emma Frost on July 31, with Deadline again being the first to break the news of her apparent involvement.

Little else is known about Marvel's X-Men film reboot. According to Variety, though, the comic giant has ambitions on releasing it as the first project of Marvel Phase 7. If true, the untitled flick will precede the Ryan Gosling-starring Ghost Rider and David Jonsson-led Black Panther III, both of which are primed to arrive in 2028.

An ever-evolving line-up

Sadie Sink should reprise her role as Jean Grey in Marvel's X-Men movie reboot (Image credit: Marvel Studios/Sony Pictures)

Marvel may have locked in Sink, Weaving, and Connor for its forthcoming X-Men film, but fans are desperate to learn who else will feature alongside them.

Speculation has been rife about which other stars could appear, and you can catch up on the biggest rumors by reading my guide on everything we know so far about Marvel's new X-Men movie. Nonetheless, myriad new rumors have circulated online since news of Connor's involvement broke — and I wouldn't be surprised if there's some truth to all of them.

For starters, comic book creator Rob Liefeld took to X/ Twitter to write he'd heard that Inde Navarrette had officially signed on for the project. Liefeld's comments come weeks after the breakout star of Obsession confirmed she'd met with X-Men movie director Jake Schreier and, more recently, threw her hat in the ring to play Mystique.

Just gonna get it out of the way say I was also wrong about Pelphrey as Xavier. I heard a different name that’s not Skarsgard and that name is going around already so I’m sure it’ll leak soon but I’ll let it come out on its own. https://t.co/6bmdqgcD4yAugust 7, 2026

Elsewhere, trustworthy industry insider Apocalyptic Horseman has walked back on Tom Pelphrey (Task, Iron Fist) playing Charles Xavier/ Professor X, while another leaker in Caleb Williams has claimed that fan-favorite mutant Gambit won't be part of proceedings.

Meanwhile, on the latest edition of The Hot Mic podcast, the less-reliable Jeff Sneider has suggested Charles Melton (Beef season 2) is set to play Beast. Fellow podcast host John Rocha has also heard that Cailee Spaeny (Alien: Romulus, Beef season 2) has been tapped to portray Rogue, although Sneider believes she hasn't been.

Lastly, Sneider has indicated that Bill Skarsgard (It, Nosferatu), Ethan Hawke (Moon Knight, Blue Moon) and Jonathan Groff (Frozen, Wicked) are all in the running to play Professor X. Rocha, though, has heard Skarsgard isn't being looked at for that highly-coveted position.

As the X-Men casting rumor mill continues to capture everyone's attention, it might not be long until Marvel puts a pin in the speculation.

Indeed, with the 2026 edition of D23 Expo, aka the so-called ultimate fan event for Disney diehards that takes place every two years, being held between August 14 and 16, some fans believe Marvel will announce the film's full roster during said event. Let's hope that comes to pass because, I don't know about you, but I can't take many more months' of conjecture.

Want to see how the latest Spider-Man film tentatively sets up the next X-Men movie? Read my Spider-Man: Brand New Day ending explained piece. Once you're done, find out how to watch the X-Men movies in order.

• A new PlayStation 5 firmware update has been released for testing
• The update automatically enables PSSR 2.0 on PS5 Pro, even for games that support the previous version of PSSR
• This means better image quality for titles yet to receive the 2.0 upgrade

Sony has released a new PlayStation 5 firmware update for its beta program that automatically enables PSSR 2.0 (PlayStation Spectral Super Resolution) on PS5 Pro.

That's according to a new ResetEra post, which claims that emails have been sent to beta users allowing them to test out the upcoming features before they're released.

The most significant update is the addition of PSSR 2.0, the latest version of Sony's enhanced-performance technology, built for PS5 Pro. With this beta firmware patch, the 'Enhance PSSR Image Quality' option is automatically enabled by default, but can be toggled on or off in the settings menu.

As per the patch notes (thanks, PushSquare), when players enable this feature, enhanced PSSR is used "even for games that support the previous version of PSSR so you can enjoy a sharper and clearer visual experience."

PSSR 2.0 began rolling out in February, with Resident Evil Requiem becoming the first game to receive the update before a handful of other titles.

"The upgraded PSSR represents another step in our commitment to evolving the PS5 Pro experience," Sony said at the time. "Moving forward, most new PS5 Pro titles will launch with support for this enhanced PSSR, ensuring players continue to see improvements in image quality and performance."

Supported games include Silent Hill f, Monster Hunter Wilds, Dragon's Dogma 2, Dragon Age: The Veilguard, Control, Alan Wake 2, and more.

With the latest PS5 Pro beta update, players will be able to enjoy improved image quality for PSSR-supported games yet to be upgraded to PSSR 2.0.

Alongside this feature, Sony has added an option to turn off Bluetooth in certain countries or regions, in order to manage controller connections at esports venues and similar locations. You can check out the full patch notes below.

• We've turned on Enhance PSSR Image Quality as a default setting. When you update the system software, this setting automatically turns on. When you enable this feature, enhanced PSSR is used even for games that support the previous version of PSSR so you can enjoy a sharper and clearer visual experience.　
  • To turn off this setting, go to Settings > Screen and Video > Video Output > Enhance PSSR Image Quality.
  • This feature is available only on PS5 Pro.
• We’ve changed the following features for PS5 consoles and PS5 Pro consoles in certain countries or regions.
  • If you go to Settings > Accessories > General > Advance Settings and select Turn Off Bluetooth, you’re no longer able to put your console into rest mode. Additionally, HDMI link is no longer supported when you select Turn Off Bluetooth.
  • The Turn Off Bluetooth function is for managing controller connections at esports venues and similar locations. Do not use this feature for any other purpose.
• We've improved system software performance and stability.

• Swiss government confirms attackers breached BIT’s SharePoint servers
• Investigators suspect exploitation of recent SharePoint flaws
• No sensitive or confidential data is believed to have been stored on the platform

Cybercriminals broke into the IT network of the Swiss government and stole data from roughly 200 accounts. As a result, the Swiss government disconnected some of its servers from the wider internet and launched an investigation.

In an announcement, the Swiss government said that on July 28 2026 its security specialists noticed “abnormalities” in the Federal Office for Information Technology and Telecommunication’s (BIT) SharePoint servers.

Three days later, on July 31, the investigators determined that the attackers accessed data found in around 200 accounts, both user and technical.

Two vulnerabilities

The investigation is currently ongoing, the agency said, adding that it is getting support from Microsoft, as well. So far, the identity of the attackers is unknown, and the stolen data has not yet leaked to the dark web.

“No confidential information or particularly sensitive personal data may be stored on the SharePoint platform,” the announcement reads.

While BIT has not yet determined the initial access vector, it suspects it to be one of two flaws in SharePoint that Microsoft fixed last month:

“In mid-July, Microsoft announced several vulnerabilities in SharePoint,” it says in the announcement. “After the publication of the corresponding security updates, the FOITT immediately started work on importing them into its own systems.”

“The cyberattack was carried out by previously unknown actors, which was presumably made possible by exploiting these vulnerabilities in the SharePoint software.” It did not say which vulnerabilities those are, but in its report, BleepingComputer says that it could be one of these two: CVE-2026-56164 (an actively exploited privilege escalation vulnerability), or CVE-2026-50522 (a critical remote code execution flaw later exploited to steal SharePoint machine keys and maintain access after servers were patched).

Given its popularity among businesses of all sizes, SharePoint is a major target for cybercriminals. So far, no threat actors claimed responsibility for the attack, or demanded any ransom in exchange for the stolen data.

Via BleepingComputer

Suno, the most popular AI music creation tool, spent years making it incredibly easy to generate music. Now it's introducing download limits, watermarking and fingerprinting to stop people flooding streaming services with AI slop.

That suggests something important to me: even the companies building generative AI are starting to realize unlimited AI creation comes with unintended consequences.

Suno CEO, Mikey Shulman, shared a blog post about the company's principles for building the future of music responsibly. He says “AI should help people create something new, not imitate someone else’s work. This philosophy has guided how we’ve built our models and platform from the start.”

(Image credit: Suno)Great music is made by people

In a section titled “Our Principles”, Shulman says that “great music is made by people”.

The principles themselves aren't new. What's new is that Suno is now dedicating significant engineering effort to limiting abuse rather than simply enabling creation.

In his blog post Shulman writes “We will soon introduce a new downloads policy designed to limit the ability to mass distribute songs on streaming platforms, while preserving the professional, creative, and personal ways people use Suno. These changes won’t affect the vast majority of our users, but they will make large-scale abuse much harder.”

Schulman continues: “In the coming weeks, we will also be adopting new audio watermarking and fingerprinting technology so we can partner even more closely with distribution platforms on combatting fraud and misuse.”

That evolution fits the broader trend we’ve been covering from the music streaming services like Spotify, Deezer, Tidal, and Qobuz, who have started to fight back against AI-generated music flooding their platforms.

Managing the consequences

Streaming giant Tidal has published a comprehensive AI policy with the strapline "Promoting Fairness and Economic Empowerment in the Era of AI-Generated Music". Tidal will identify it, tag it and crucially, not pay any streaming royalties for it.

Spotfiy has introduced measures to prevent fraudulent streams and AI impersonation . Deezer announced that over half of all new daily uploads to its site are AI — up from 44% in April and just over 30% at the end of last year. It launched a free site to scan your playlists for AI in June. Qobuz has announced that it is taking a human-first approach to its recommendations and “developing detection and monitoring systems to identify AI-generated content and fraudulent streaming patterns.”

This announcement from Suno feels more significant than another AI company publishing a set of principles. It marks a shift in priorities. For the first few years of generative AI, success was measured by how much content these systems could produce. Now it looks like success is being measured by how effectively companies can prevent that content from overwhelming everything else.

The AI music industry is moving from maximizing generation to managing the consequences of generation, and it's about time.

Artificial Intelligence (AI) is rapidly evolving. Across industries, many organizations are increasingly deploying AI into systems that must run continuously, securely, and at scale.

As AI adoption accelerates, one thing is becoming clear: infrastructure planning cannot wait.

AI workloads are becoming more interconnected, distributed, and operationally integrated across cloud, data center, and edge environments. Infrastructure planning now requires organizations to align compute, networking, software, memory, and operational requirements across increasingly complex environments.

As a result, many enterprises are beginning infrastructure planning sooner rather than later.

The cost of waiting

As AI becomes more integrated into everyday business operations through continuous inference and agentic AI systems, infrastructure demands are evolving significantly.

Modern AI deployments increasingly require:

• Continuous inference running around the clock
• Multi-agent systems coordinating across applications and databases
• Real-time orchestration across cloud, data center, and edge environments
• Strong governance, security, and operational efficiency

These workloads require more than raw compute performance. They require balanced infrastructure where compute, networking, software, memory, and operational workflows work cohesively at scale.

Because of this, enterprises are beginning AI infrastructure planning earlier, recognizing that planning, testing, and Proof of Concepts (PoCs) for complex systems like this take time.

At the same time, the cost of delaying AI infrastructure planning is becoming more apparent. Delays can slow deployment readiness and postpone AI-driven benefits such as productivity gains and operational automation. As AI demand continues to rise, organizations are prioritizing earlier planning to secure the compute capacity needed to support long-term AI growth.

As AI infrastructure becomes more complex, infrastructure planning needs to begin earlier than traditional IT upgrade cycles. Evaluating workloads, validating deployment models, and ensuring scalability across environments takes time and time is of the essence if we want to be ahead of our competitors.

AI is now a systems challenge

The conversation around AI infrastructure often begins with Graphics Processing Units (GPUs). But as deployments scale, AI performance depends not on individual components, but on how the entire system operates together.

Modern AI infrastructure relies on Central Processing Units (CPUs) for orchestration and data movement, GPUs for large-scale parallel compute, high-speed networking for low-latency communication across systems, and open software platforms for portability and scalability.

As AI systems become more distributed and inference-driven, orchestration and system balance become critical. CPUs play a pivotal role in managing workload coordination, memory access, and GPU utilization, ensuring infrastructure operates efficiently under sustained demand.

This shift reflects a broader industry reality: AI is no longer just a GPU problem. It is a full-stack infrastructure challenge that organization must tackle early on.

Planning for distributed AI

AI is also scaling in multiple directions at once.

Some workloads are expanding into large, centralized clusters, while others are moving closer to where data is generated – including edge deployments such as in factories or hospitals, and AI-enabled endpoints like the PCs.

For organizations, this creates unique infrastructure considerations around hybrid cloud, on-premises deployments, edge AI, compliance, and latency-sensitive applications.

This diversity underscores the importance of infrastructure strategies designed for modularity, portability, and adaptability that necessitates upfront planning.

Openness and flexibility matter more than ever

As AI innovation accelerates, organizations are prioritizing infrastructure flexibility to support rapidly evolving models, frameworks, and deployment environments.

Open ecosystems can reduce integration complexity while supporting broader compatibility across software frameworks, cloud environments, and deployment architectures. They also provide greater flexibility to evolve infrastructure strategies over time while helping avoid the migration costs that can come with highly closed or single-vendor environments.

For many organizations, openness is no longer just a developer preference. It is becoming an important consideration for balancing performance, operational efficiency, cost optimization, and long-term infrastructure investment.

This is another reason infrastructure planning must happen early. Building AI environments that remain scalable, portable, and adaptable over time require long-term thinking around openness and interoperability from the beginning.

Infrastructure readiness will define the next phase of AI

The next phase of AI growth will reward organizations that take a proactive approach to infrastructure planning.

Organizations that delay infrastructure planning may find it more challenging to deploy AI tools down the road, not only due to not having ample time to plan and test, but not securing the compute resources needed early on.

The cost of waiting is becoming ever clearer.

Ultimately, the companies that succeed in the next phase of AI will not necessarily be those with the largest clusters, but those that plan early and build balanced, scalable, and open infrastructure designed to support continuous innovation in an increasingly AI-driven economy.

We've featured the best AI chatbot for business.

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

Every four years, football's best players are tested on the world's biggest stage.

Less visible is the test taking place behind the scenes.

As billions tune in, broadcasters and streaming platforms face their own high-stakes challenge: delivering seamless live experiences at a scale few events can match.

FIFA estimates that around 5 billion people engaged with the 2022 World Cup, with the final alone reaching nearly 1.5 billion viewers worldwide.

In 2026, that audience has been presented with an even bigger tournament: 48 teams playing 104 matches across Canada, Mexico and the United States.

More than 54 million viewers across the three host countries watched their national teams' opening matches, while the United States' game against Paraguay drew a combined 27.5 million across FOX and Telemundo, the most-watched FIFA World Cup match ever broadcast in the country.

By the end of the group stage, 4.64 million spectators had filled 99.7% of available seats. That scale is a real-time stress test for every part of the live-video ecosystem.

From passive viewing to active participation

Beyond sheer audience size, the difference lies in how fans consume it. They no longer simply watch. They move between platforms, share highlights, expect instant access to key moments and want experiences tailored to their own interests.

Streaming is no longer just a distribution channel; it's a product in its own right. Brazil’s group-stage match against Haiti reached 51.3 million viewers across Globo's wider media ecosystem, while CazéTV set a worldwide YouTube record for the most-watched football match streamed on the platform.

World Cup content generated 11 billion video views across social media platforms during the group stage alone, and official broadcasters published more than 44,000 pieces of content on TikTok.

A modern match is simultaneously a live program, a source of social clips, a statistics feed and a second-screen experience.

Rethinking the production workflow

That shift starts with the production workflow. The same match is now produced simultaneously for stadium scoreboards, connected TVs, mobile apps and global streaming platforms, with capture, ingestion, encoding and delivery all part of a single content pipeline.

Sixteen optical tracking cameras installed in each stadium can produce more than 150 million data points per match, helping officials review incidents and giving media partners new ways to produce highlights.

The real challenge is bringing together live delivery, audience data, advertising, captions, multi-language audio, and interactive experiences alongside tracking, commentary, graphics, and officiating data.

What fans expect: reliability, personalization, speed

For viewers, success comes down to three things: reliability at scale, personalization and speed. Fans will tolerate a lot, but they won't forgive a stream that buffers during a decisive goal or runs so far behind live play that social media spoils the moment.

Personalization must happen without undermining performance, delivering different recommendations, languages, statistics, camera feeds and advertising while maintaining the resilience of a mass broadcast.

AI is reshaping live sports production

Artificial intelligence is central to delivering those expectations. Rather than replacing production teams, AI is enabling rights holders to produce and distribute content at a scale that would previously have required far larger operations. Automated highlight clipping is one of the clearest examples: AI can identify key moments, package them and distribute them within minutes.

For rights holders, the difference between publishing a goal two minutes after it's scored rather than twenty is the difference between leading the conversation and chasing it. Match summaries, commentary, captions and translations can also be generated automatically, and platforms can match each fan with the content they are most likely to watch next.

A glimpse of the future: personalized sports at scale

The broader ambition is visible at the top of the game. The PGA TOUR now turns each week's action into roughly 7,000 AI-generated highlight clips across dozens of markets, so a fan can follow one player or catch up on key moments without waiting for the main broadcast. The 2026 World Cup has produced a similarly vast library of stories. A record 215 goals were scored during the group stage, an average of three per match.

Tournament debutants Cabo Verde went undefeated, with Kevin Pina scoring the country's first World Cup goal, while Japan's 4-0 victory over Tunisia was both the 1,000th match in World Cup history and the biggest ever by an Asian team. These are exactly the kinds of stories that automated tagging, rapid clipping and intelligent recommendations can bring to the right audience.

Immersive viewing and accessibility

The next generation of live sports streaming will be defined by richer viewing experiences. Multi-view streaming allows fans to follow simultaneous matches, while alternative camera angles and player-specific feeds provide greater control over how the action is consumed.

Real-time data integration can bring live statistics directly into the viewing experience without interrupting the match. AI is also making captioning, translation, and audio description production-ready at scale, allowing broadcasters to localize live coverage without a proportional increase in costs.

However, human oversight remains essential for names, sporting terminology, and cultural context.

The technology behind global scale

Supporting all of this requires resilient IT infrastructure and scalable delivery platforms capable of broadcast-quality reliability and low latency, even as millions connect simultaneously. It also requires organizations to move beyond fragmented technology stacks.

A unified architecture makes content easier to reuse: one live signal can support a full broadcast, mobile highlights, social clips, advertising inventory, archive content and personalized recommendations.

Furthermore, protecting that content is just as important as delivering it. Live sport is uniquely vulnerable to piracy because its commercial value exists almost entirely during the match. Digital Rights Management remains the foundation, but forensic watermarking is becoming increasingly important, embedding invisible identifiers so pirated feeds can be traced and removed while the event is still live.

What's next: The future of live sport at scale

The World Cup ultimately highlights that live video has become a complex, data-driven product where success is no longer defined solely by picture quality or reach, but by how effectively AI, unified content workflows. and scalable technology work together under pressure.

The challenge for the industry is not understanding what works at World Cup scale, but applying those lessons consistently across every live event.

We've reviewed, rated, and ranked the best video editing software.

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

When was the last time you met your newest hire in person?

For many organizations, particularly those operating remotely, the answer is increasingly never. With one in five companies worldwide adopting a fully remote model, hiring virtually has become increasingly popular, enabling businesses to access global talent pools and scale faster than ever before.

But in removing geography as a constraint, it has also stripped away one of the most fundamental layers of trust: the ability to verify, face-to-face, who you are actually employing.

This shift is giving rise to a new and largely under-recognized threat, the “deepfake employee”, where threat actors use synthetic identities, voice cloning, and real-time deepfake video to pass interviews and secure legitimate employment.

Accelerated by advancements in AI, it is now possible to create convincing digital personas at scale, lowering the barrier to entry for fraud and enabling highly organized operations to target corporate hiring pipelines.

In practice, these attacks can be surprisingly difficult to detect. A candidate may appear on a video interview with a natural-looking face and voice, answer questions fluently, and provide what seem to be legitimate credentials. Behind the scenes, however, AI tools can subtly alter facial expressions, sync lip movements to a cloned voice, or even feed real-time responses.

To the hiring manager, there is little reason to suspect anything is wrong. The deception often only becomes apparent much later, if at all, when activity inside the organization begins to raise concerns.

This risk is already playing out in the real world. In a recent experiment, a cybersecurity expert used AI to create deepfake personas – one a white man similar to himself and another of an Asian woman, and successfully secured two separate tech roles, beating hundreds of other candidates.

Using AI-generated credentials, real-time voice modulation and live deepfake video, both synthetic identities progressed through interview stages undetected, with employers unaware they were interacting with an entirely fabricated candidate.

Cloudflare’s latest threat research highlights the scale and sophistication of this activity. Organized “remote worker” fraud operations are using fabricated identities, deepfake-assisted interviews and remote access “laptop farms” to infiltrate payrolls. In some cases, multiple individuals operate behind a single employee identity, maintaining persistent access while appearing as one consistent, legitimate user.

Once hired, these actors are no longer external attackers. They become insider threats with valid credentials, company-issued devices and trusted access to systems. As Cloudflare notes, by the time these individuals are identified, they are already operating inside the perimeter, often blending in with normal business activity.

What needs to change

With nearly 60% of organizations having experienced deepfake-driven incidents, and 48% reporting damage from AI-generated impersonation or misinformation, it is clear that identity infrastructure has become a primary attack surface. Attackers are shifting away from “breaking in” to “logging in” using legitimate credentials obtained through deception.

At the heat of this issue is the flawed assumption that identity can be verified once and then trusted indefinitely.

In physical environments, identity is rarely in doubt. You can see who walks through the door, recognize familiar faces and detect inconsistencies in behavior. In virtual environments, however, organizations rely almost entirely on screen names, login credentials and video, none of which reliably confirm who is actually behind the screen.

Accounts can be shared, credentials can be compromised, and even live video can be manipulated.

This creates a critical vulnerability at the point of hire. A candidate may present documentation, pass background checks and complete onboarding, but in a world of synthetic identities, that initial verification is no longer enough.

Building continuous identity assurance

To address this challenge, organizations need to move beyond static identity checks and towards continuous identity verification. This means verifying not only who someone is who they say they are and that they are a real human at the point of hire, but ensuring that the same individual remains present and authentic throughout their interactions with the organization.

The strongest form of defense lies in continuous biometric verification of the user’s identity. Rather than relying on a single factor, such as facial recognition or voice authentication alone, fused biometrics combines multiple identity signals, such as facial characteristics, voice patterns and behavioral cues, into a single, layered verification process, verifying directly that a real, live human is there.

It is no longer enough to confirm a person’s identity at a single moment in time. Organizations need confidence that the same individual is consistently present across every critical interaction, from interviews and onboarding, through to system access and sensitive transactions. Without this continuity, identities can be shared, replaced or hijacked without detection.

Fused biometric verification can create layered validation that is significantly harder to replicate or manipulate, enabling it to detect and block attempts to impersonate users through synthetic voices, deepfakes, or recorded audio and video.

While a single modality might be fooled by a sophisticated synthetic input, combining biometric modalities; facial recognition, voice recognition, and speech pattern recognition, it becomes significantly harder for fraudsters to mimic an identity.

Advanced biometric verification technologies are trained on large datasets of both genuine and synthetic voice samples, enabling them to recognize subtle acoustic differences between natural and deepfake voices. This helps organizations detect voice-cloning attempts, even when the audio sounds convincing to human listeners.

Crucially, fused biometric verification can operate passively in the background, consistently verifying that the right person is accessing systems, enabling smoother, lower-friction experiences and reduces the need for frustrating repeated verification attempts.

As organizations continue to embrace remote work and digital-first operations, cybercriminals will increasingly find new vulnerabilities to exploit. The question is no longer just how to keep threats out, but also how to ensure that those already inside are truly who they claim to be.

In a world where identities can be fabricated, cloned and manipulated with ease, trust cannot remain static. It must be continuously proven.

We've featured the best secure smartphone.

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

• Ministers in the UK are consulting on workplace monitoring technologies
• Employers may have to ask permission to implement surveillance tools that ensure employees are working as contracted
• The consultation includes references to the use of artificial intelligence-assisted monitoring

The British government’s Make Work Pay strategy to overhaul employment rights and end exploitative work practices has opened consultation on workplace monitoring technologies, with the Department for Business and Trade seeking to establish whether existing rules covering things like biometric surveillance, keystroke logging, and productivity scoring are fit for purpose.

Current rules over the use of workplace monitoring technology (WMT) may be fit for purpose, but the consultation aims to establish whether non-statutory guidance, a formal code of practice, or a legal framework is required.

The consultation – which also cites artificial intelligence as a tool to assist monitoring, closes September 30, 2026.

Identifying WMT

Workplace monitoring technologies have developed with the pace of digital expansion in offices and factories, with notable examples including email and web tracking, along with controversial tools such as keystroke logging, and screen and app monitoring.

Mobile workers and couriers are also subjected to GPS monitoring, while access to workplaces is typically subject to biometric credentials, a modern-day version of “clocking in.”

So, monitoring practices in the workplace are nothing new, and CCTV has long been used to observe location, activity, and appropriate behavior. Responses to the consultation will no doubt include concerns over the expansion of these technologies into the remote workspace, where tools like keystroke loggers and screen monitoring are considered intrusive.

Meet the AI boss

Furthermore, some new considerations, such as automated decision-making (ADM, which can make decisions without human involvement) and algorithmic management (tools that can, for example, alter shifts based on availability and performance) will also come under review with the consultation.

The consultation announcement states:

"AI and innovation are central to the government’s strategy for growth. The Chancellor has prioritised AI adoption, as where the biggest gains lie for UK growth, and has set the ambition for the UK to be the fastest adopter of AI in the G7. To support rapid and responsible adoption, we are focused on creating the right conditions, providing the necessary infrastructure and managing the technology transition fairly and carefully."

Additional regulatory requirements

While the consultation is welcome and gives employers and employees the chance to deliver their thoughts – and affords the Labour government the opportunity to underline its Make Work Pay policies – the end result will inevitably means more regulatory work for employers.

Non-statutory guidance would be the preference, as this has a smaller impact in a workplace that already has to consider GDPR and the EU AI Act. Larger organizations also need to accommodate local employment laws. But there is every chance that the eventual decision will result in the introduction of a statutory policy governing workplace monitoring technologies, particularly where AI is concerned.

• AI is opening to the door to advertising on streaming TV platforms for SMBs
• 37% of small and medium businesses feel cross border campaigns are more accessible thanks to AI
• SMBs see AI as key tool in remaining competitive in the future

Barriers to cross-border and multi-region advertising are being broken by AI, according to a new survey by Amazon Ads.

Surveying 4,100 respondents across 14 countries, the results found nearly three-quarters (73%) of UK SMBs have found that AI advertising tools make streaming TV an affordable and accessible platform for their promotional messaging.

The questions focus on the difference between advertising accessibility in 2026 compared with 3 years ago, when 69% found cost to be the main barrier against streaming TV advertising access.

How does AI help SMBs advertise?

Now, over half of SMBs (54%) interested in advertising on TV believe that AI tools can enable them to reach new audiences and increase brand awareness (53%). Meanwhile, a majority of SMBs believe AI can be instrumental in expanding their competitiveness.

Amazon Ads employs AI tools to create and manage AI campaigns, as well as improve opimization and targeting. It offers image and video generation solutions to create realistic visuals and uses a chatbot (“conversational agent”) to develop concepts and scripts with the advertiser.

The survey also found 68% of UK SMBs found AI advertising has supported growth, and 52% highlight that it has supported expansion into other countries. Of those surveyed, 37% stated that cross-border campaigns seemed out of reach just three years ago.

"What we're seeing is a real shift in confidence among small and medium-sized businesses," noted Cyril Clerget, General Manager of Global SMB Advertising at Amazon Ads. "AI-powered tools are helping them explore advertising channels — like streaming TV — that once felt out of reach.”

The survey has also found that 88% of SMBs are planning to use AI for creating adverts, and 74% aim to use the technology to produce streaming ads. Interestingly, the survey also found that 45% intend to use AI for competitor analysis in the future.

Is AI the future of affordable advertising?

Affordable AI tools seem to be an attractive prospect for SMBs wishing to aim for streaming TV. Over the past few years, radio advertising has become more targeted thanks to increasing numbers of digital stations, with advertisers able to tailor to specific demographics.

Streaming TV offers a similar curation, and 75% of surveyed UK SMBs see AI as the answer to improving their future competitiveness.

Amazon has discounted the 256GB Samsung Galaxy Tab S11 Ultra to AU$1,597, dropping it by AU$502 from its AU$2,099 RRP.

That's the same price Amazon is charging for the smaller 256GB Galaxy Tab S11, and AU$2 less than the AU$1,599 it costs direct from Samsung.

This isn’t quite the lowest price we’ve seen for the Galaxy Tab S11 Ultra on Amazon, with the 256GB model briefly dropping to AU$1,547 in June.

Still, today’s AU$1,597 price is only AU$50 more, plus the 512GB model is down to AU$1,799 from the AU$2,449 RRP and the 1TB version has dropped from AU$2,949 to AU$2,299.

Thanks to this discount, the 256GB Galaxy Tab S11 Ultra currently costs the same as Amazon’s smaller Galaxy Tab S11, making this the model I’d choose if you've been pining for the larger 14.6-inch display. Otherwise, the standard S11 may still suit you better if portability is the priority — the 128GB version is 21% off RRP, at AU$1,099.View Deal

Amazon is the simpler option if you just want an easy purchase and fast delivery, but other retailers such as JB Hi-Fi also have the S11 Ultra for just a few dollars more.

Another option worth checking out is Samsung’s current trade-in offer, which could work out cheaper if you have an eligible tablet. Samsung is selling the 256GB Galaxy Tab S11 Ultra for AU$1,599 and, until 26 August, is adding a guaranteed AU$500 bonus credit on top of your device’s assessed trade-in value.

One catch – your old tablet must be eligible for Samsung’s trade-in program and retain an assessed value above AU$0.

But, I hear you ask, what makes the Galaxy Tab S11 Ultra truly worth the rather large price tag?

In our Samsung Galaxy Tab S11 Ultra review, we said we’d be “hard-pressed to find a bigger and better display on an Android tablet”. The 14.6-inch AMOLED screen earned a full 5/5 in our testing, with enough brightness for outdoor use, while the included S Pen and expansive display make it particularly well suited to watching movies, gaming and drawing.

Our reviewer also found Samsung’s One UI software made excellent use of the big screen for multitasking, with the tablet handling a video call, game and floating YouTube window at the same time without slowing down.

Battery life impressed too, lasting 11 hours while streaming 1080p video at full brightness, helping explain why the S11 Ultra remains our best premium Android tablet pick in our buying guide.

No tablet is perfect, and the main caveat for the S11 Ultra from our testing is the MediaTek Dimensity 9400+ chipset, which we found disappointing considering the RRP is over AU$2,000.

Yes, it's a clear improvement over the Tab S10 Ultra and handles games well, but it falls well short of competitors like the M5 iPad Pro for outright processing power.

That said, while the current AU$502 discount does not fix the performance shortfall, at AU$1,597 rather than AU$2,099, it makes our review criticisms considerably easier to swallow. Especially when the closest equivalent iPad Pro is AU$2,599.

So overall, I think that at the current discount, the S11 Ultra is an easy recommendation for those who want the biggest possible screen for movies, games, drawing and multitasking.

• Xiaomi officially launches SkyNomad N70 and N90 SUVs
• Both pair a 1.5-liter gasoline engine with huge 76 kWh NMC battery packs
• Hybrid technology allows for more than 1,000 miles of driving

Fresh off the success of the SU7 and YU7 all-electric models, which offer the sort of performance and range to compete with Porsche’s Taycan, Chinese tech company Xiaomi is now moving into the world of hybrid SUVs.

Teased a few weeks ago, the company has now taken the wraps off the roughly $35,000 (in China, that is) SkyNomad N70 and N90, two hulking SUVs that are capable of seating either five or seven people in a variety of luxurious configurations.

Shirking the pure EV powertrain of Xiaomi's previous efforts, the SkyNomad sub-brand uses a Changan-derived 1.5-liter gasoline engine and a huge 76 kWh NMC battery pack to offer substantial range.

According to China’s generous CLTC testing cycle, the Xiaomi SkyNomad N90 Max offers a combined range of up to 1,705 km — or 1,060 miles.

(Image credit: Xiaomi/SkyNomad)

Customers in China also have the option of a more affordable 52 kWh battery pack, but when the larger of the two is specified in the five-seat N70, pure electric range is almost 314 miles, according to the CLTC testing cycle.

If you crunch the numbers and remove some of the CLTC's generosity, it equates to around 250-miles on the UK and Europe's WLTP cycle. That's still enough to shame many pure EVs.

Alas, Xiaomi hasn’t announced plans to sell its SkyNomad models outside its domestic market yet, but it has previously stated that it hopes to introduce the SU7 and YU7 models to the UK and Europe by 2028.

Analysis: only a bargain in China

(Image credit: Xiaomi/SkyNomad)

As we have seen with BYD’s luxury brand, Denza, the price of high-performance or luxury Chinese EVs isn’t so appealing once you factor in local taxes and import duties.

It was revealed recently that the supercar-baiting Denza Z, for example, will start at a staggering £142,900 in the UK (around $200,600) and rises to £172,900 (around $233,000) for the top-spec Racing variant. It costs around $100,000 in China.

We can expect to see a similar pattern with models like the SkyNomad N70 and N90 should they arrive in Europe, especially since they come fitted with the sort of battery pack that many rival pure-electric vehicles use today.

Those hoping for something that drastically undercuts the likes of Audi’s Q7, the Volvo XC90 or even Kia’s slightly more affordable EV9 and Hyundai’s Ioniq 9 could be a tad disappointed when official European pricing is eventually announced.

The Shards is guaranteed to have audiences talking, for better or for worse, as Bret Easton Ellis' controversial semi-autobiography comes to the small screen.

But, in my opinion, Ryan Murphy teaming up with Ellis has given him the chance to shine once again. Fans of Murphy's work were left disappointed and baffled in recent months after his abysmal Hulu series All's Fair aired, which has a seriously low Rotten Tomatoes score of just 6%.

Thankfully, The Shards feels closer to what Murphy was doing with the anthology series American Horror Story, and the result is an addictive, bloody and over the top series which shows that Murphy and Ellis are an excellent creative duo.

The Shards is certainly not for everyone, but I'm sure it will find a dedicated audience among Hulu subscribers. Those who can put up with intentionally insufferable protagonists are rewarded with a stylish, tasty peek into life as a privileged student in the 1980s, set in a sunny LA neighborhood.

The nine-part series follows a fictionalized version of Bret Easton Ellis, who is 17 and in his final year at the elite Buckley prep school. Igby Rigney, known for his work on Netflix's Midnight Mass, plays this version of the thriller author.

We open with Bret going to see The Shining, smoking a cigarette and driving a convertible, as he narrates all the luxury clothing he's wearing. Rigney's almost bored-sounding narration would feel out of place anywhere else, but here it fits perfectly as he talks about his life, one that many viewers will never have and might desperately covet. Despite having everything, there's no enthusiasm to his voice at all.

Opposite Rigney, Homer Gere stars as Robert Mallory, a new arrival at Buckley whose unsettling presence coincides with the activities of a serial killer known as The Trawler. Gere is fantastic in The Shards, dominating every scene he's in, and making us feel very uncomfortable from the moment we see him.

The unsettling dynamic between Bret and Robert forms much of The Shards, supported by an equally good cast playing fellow students around them. Susan Reynolds (Kaia Gerber), is a popular girl and cheerleader who soon develops a thing for Robert, much to the annoyance of her long-term boyfriend Thom (Graham Campbell).

Bret's girlfriend, Debbie (Hayes Warner), is a teen rebelling against her movie director father, adding to the already complex layers of this dysfunctional friend group.

The first two episodes were released together, but unfortunately it's a weekly release from then on. I have a feeling some people might be gutted they can't binge-watch it because it's easy to become invested in what's happening. The Shards is a dazzling experience where you feel like a fly on the wall watching these spoiled teens, wondering what's going to happen to them next, even if you probably should look away.

It's a visceral, no-holds-barred look into this 80s society which finds itself rapidly torn apart, sometimes literally. Indeed, those looking for Bret Easton Ellis' brand of gratuitous violence will find it here, making The Shards an interesting blend of teen drama and horror movie, with some grisly results.

Even if you haven't read The Shards, if you know you're a fan of Ellis' other works like American Psycho, I think this will be right up your alley. It ticks all the right boxes for what we'd expect from him, after all.

At the time of writing, The Shards season 2 has not been confirmed, which means the season finale's ending will prove frustrating if we don't get more. Though Ellis' book has a similar ending, I'm hopeful that The Shards will choose to take the story further as it feels like it's been written with a second season in mind.

As a standalone season though, it's entertaining and shocking in equal measure. The Shards is a welcome addition to Ryan Murphy's filmography, and I hope he does more like this because I have certainly missed him when he's at his bloody best.

It’s an exciting time to be a Samsung phone fan right now with the recent launch of its new foldable range, including a brand new form factor for the Galaxy Z Fold 8.

Pre-orders are still ongoing, but with prices starting from AU$1,949, not everyone will be springing for these premium phones.

If you’re in the market for something much more affordable, then you’re in luck — the Samsung Galaxy S26 is currently at its all-time low price of AU$992 on Amazon, or a whopping 36% off.

Costing less than Apple’s budget phone — the AU$999 iPhone 17e — the base model Samsung Galaxy S26 is a true flagship device with three camera lenses, 12GB of RAM and the full Galaxy AI suite. This deal handily beats the previous all-time low of AU$1,098 we saw during EOFY and Prime Day. Amazon has the Black, Cobalt Violet, Sky Blue and White colours available for this price.View Deal

Our Samsung Galaxy S26 review praised the bright AMOLED display, reliable 3-lens camera setup and surprisingly long battery life given its relatively small 4,300mAh capacity. It also has a 6.3-inch screen, perfect for those who like smaller-sized handsets.

Storage options now also start at 256GB, up from the predecessor’s 128GB. That change, plus the other improvements over the S25, meant the S26 came with a price increase from AU$1,399 to AU$1,549.

Aussies also miss out on the Snapdragon 8 Elite chipset found in the US model, having to settle for an Exynos 2600 processor. Our reviewer also noted the relatively slow 25W charging speed and the lack of full Qi2 wireless charging support, commenting that this phone is only worth buying when it’s on sale.

And that’s why this phone is an easy recommendation for less than AU$1,000, despite its shortcomings. It’s a solid entry-level flagship with the specs to back it up, which also comes in an increasingly rare 6.3-inch size.

Also discounted at the Samsung store

Not a fan of the default colours on sale at Amazon? The Samsung Australia store also has the handset discounted for AU$999, and that includes the store-exclusive Pink Gold and Silver Shadow colours. You can also purchase the handset through a monthly repayment plan and trade in an old device to save even more.View Deal

The news that Amazon’s smarter AI assistant, Alexa+, is finally making its way to Australia could well be exciting news for many Aussies. After all, we’ve had to wait a fair amount of time for the upgraded digital assistant, as it launched in the US way back in February 2025, and arrived on UK shores in March of this year.

If you’re already embedded in Amazon’s ecosystem, whether that be through ownership of Echo smart speakers and displays or Ring home security cameras, you’d be forgiven for thinking Alexa+ might never make it Down Under. If so, you may have never felt the need to upgrade your various Amazon devices to newer generations.

Now with the official rollout of Alexa+ in Australia, that could mean your devices aren’t compatible. In truth, the list of incompatible devices is relatively short (which I have to say is quite remarkable and deserves brownie points for Amazon), but regardless, the latest generation Alexa-enabled devices will offer the best Alexa+ experience.

So, if you want to add Alexa+ to your home to become an AI-powered digital assistant capable of performing all manner of tasks, from answering simple queries to placing Amazon orders on your behalf or even notifying you when packages are delivered to your home (and are captured on a Ring camera), then any of these nine Echo devices will be worthy additions to your home.

Also note that you'll need a subscription to Alexa+. It's free if you're already a Prime member, otherwise it costs AU$29.99p/m. Considering an Amazon Prime membership is just AU$9.99p/m, you'd be saving money.

Amazon Echo Studio (2025)

Amazon Echo Studio

Amazon Echo Dot Max

Amazon Echo Dot (5th Gen)

Amazon Echo Spot (2024)

Amazon Echo Hub

Amazon Echo Show 8 (4th Gen)

Amazon Echo Show 11 (2025)

Amazon Echo Show 15

• Ukrainian drone destroys Russian flag moments after dramatic aerial deployment attempt
• Competing battlefield videos continue fueling disputed territorial claims across eastern Ukraine
• Analysts continue examining disputed battlefield footage for signs of digital manipulation

Ukrainian forces released footage showing a Russian flag destroyed roughly 30 seconds after a drone placed it on a damaged building in the Sumy region.

According to Ukraine's 105th Territorial Defense Brigade, Russian operators dropped the flag from a drone before Ukrainian personnel responded with an FPV drone strike.

The video shows a Russian drone placing a flag associated with Russia's Airborne Forces onto the roof of a damaged residential building in Velyka Pysarivka.

Drone operation quickly ends symbolic battlefield display

Footage later captures a Ukrainian FPV drone approaching the location before striking the flag shortly after it landed, ending the display within approximately 30 seconds.

The 105th Territorial Defense Brigade said drone operators located the position before Russian forces could use the footage to reinforce claims of battlefield progress.

"Enemy rags do not remain on Ukrainian soil for long," the 105th Territorial Defense Brigade said about the operation.

Velyka Pysarivka lies close to the Ukrainian border with Russia and has experienced repeated attacks while remaining an active area of military operations.

Fighting around the settlement continues as Russian forces conduct cross-border activities while attempting to expand operations across parts of the Sumy region.

The released footage focuses on the sequence involving the flag placement and the subsequent strike instead of showing any broader military engagement nearby.

Symbolic footage continues shaping competing battlefield narratives

Throughout the conflict between Russia and Ukraine, both sides have repeatedly made competing claims about capturing territory, often supported by battlefield footage.

The latest video follows another disputed incident involving territorial gains that was circulated through Russian military communication channels.

Russian sources previously circulated a video claiming forces had captured Bilyi Kolodyaz in Ukraine's Kharkiv region after raising a Russian flag inside the settlement.

Analysts later questioned that recording after identifying what they described as signs suggesting digital manipulation within several parts of the footage.

Among those observations were an unusually oversized soldier together with a flag that reportedly disappeared from the frame during the recording sequence.

Neither side's battlefield footage can always be independently verified immediately because active combat conditions often limit direct access to the reported locations.

Military analysts therefore continue examining released videos alongside satellite imagery, geolocation evidence, and additional sources before confirming claims involving territorial advances or battlefield events.

The flag incident in Velyka Pysarivka adds another example showing how symbolic actions increasingly accompany frontline operations.

As of now, independent verification of the footage remains unavailable, making its authenticity difficult to establish.

Via United24media

Air fryers aren't just for small cooking tasks or one-to-two person households. There's a new wave of air fryers that come kitted out with two drawers, enabling you to cook two components of a meal at once. They offer more space than your standard, one-drawer offering, and provide an easy way to keep different foods separate, but they also go further than than that.

You can pick a different temperature for each drawer, and most will have a sync function that means the appliance will automatically figure out your timings and sync up cooking so both drawers of food are finished at once. If you have a small kitchen, there are a number of models that have the two drawers stacked one on top of the other, to provide a generous cooking capacity without eating up all your counter space. It's enough to make you want to retire your proper oven for good.

We have a general guide to the best air fryers, but in this roundup I've narrowed things down to just my favorite two-drawer options. The main name to look out for is Ninja — this brand makes a wide variety of dual-zone options of different sizes and with different functions. I've included a number of options below, but I've also featured alternatives from rival brands, including some budget-friendly options.

Double trouble

Ninja AF300UK Foodi Dual Zone Air Fryer

Read our full review

Ninja DoubleStack XL air fryer

Read our full review

Pros

• Small footprint, generous capacity
• Extra trays for even more cooking space
• Top-tier performance

Cons

• Expensive for a dual-basket model
• '8-portion' capacity feels ambitious
• Can't fit big foods whole

Philips 4000 Series Stacked Dual Basket Air Fryer

Read our full review

Pros

• Cooking windows and basket lights are a handy addition
• Space-saving design takes up less counter space
• Versatile cooking functions, strong cooking performance

Cons

• Supplied physical instructions are too basic
• The black and gold finish will split opinion
• 5L baskets means larger food won’t fit

Chefman 9qt Air Fryer

Ninja Crispi DualZone Glass Countertop Air Fryer

PHILIPS Dual Basket Air Fryer 3000 Series, 9.5 Quarts

Russell Hobbs Satisfry Dual Basket Air Fryer 9L

Read our full review

Cuisinart 11-qt Dual Basket Air Fryer Pro ADZ-112

Tower Housewares Vortx 7.6L Dual Basket Air Fryer (UK only)

Tower Housewares Vortx 11 Litre Dual Layer Air Fryer (UK only)

Apple and OpenAI are currently engaged in a legal battle. Apple alleges that OpenAI stole trade secrets and poached employees.

But the two companies have always had a complicated relationship. They partnered in 2024 to bring ChatGPT to Apple devices, but Apple chose Google's Gemini rather than OpenAI for Siri. Then OpenAI acquired io, the hardware startup founded by former Apple design chief Jony Ive, and promised a future hardware device, powered by AI.

All of this has prompted speculation about what Apple is worried about if OpenAI makes hardware, too. We can't know the company's motivations and the specifics of the case are still unfolding. But it got me thinking, what if your phone stopped being a collection of apps and instead revolved around AI?

If AI became the main interface, which apps would disappear and which would survive? And would a phone controlled through ChatGPT actually be practical?

So I decided to find out based on the current tech we have. For a day, whenever I reached for an app, I'd try ChatGPT first instead. If it could do the job, great it passed the test. If it couldn't, it would fail.

There were some obvious things I missed out from the start. ChatGPT isn't connected to my email, it can't open WhatsApp for me and it doesn't have access to my wallet, so those wouldn’t be part of the test. But there were plenty of everyday tasks that felt like fair game.

1. Stopwatch

(Image credit: Shutterstock / Lee Bryant Photography)

I use the stopwatch in my iPhone's Clock app constantly throughout the day. When I'm working, cooking or exercising, it's one of the simplest ways I've found to keep me on track as a freelancer. When you can set your own schedule, it's way too easy to disappear down a research rabbit hole and lose an hour.

I asked ChatGPT to start a stopwatch. It said it couldn't measure elapsed time, although it could estimate the time based on message timestamps if I later asked it to stop. Instead, it suggested I use my phone's built-in Clock app.

Result: fail

2. Alarm

(Image credit: Shutterstock / Terang Bulan Gallery)

Strangely, I don't use alarms as much as stopwatches. But if I only have 25 minutes to spare, whether that’s for cleaning or working on a personal writing project, I'll sometimes set one to keep myself focused.

Would ChatGPT do any better here? Well, at first it looked promising. It created a scheduled task to notify me after 10 minutes. I checked that notifications were enabled, put my phone down and carried on working.

When I realized at least 15 minutes had passed, I checked the chat. Sure enough, ChatGPT had posted a message saying the time was up, but it hadn't actually alerted me. Later, I discovered it had also sent an email but it had landed in my spam folder. This one was a fail too in my book.

Result: fail

3. Word games

(Image credit: Shutterstock / Iuliana Ionescu)

I love the word games in the New York Times app, home to addictive puzzles like Wordle and Connections. One of my current favorites is Spelling Bee. You're given a handful of letters and then have to make as many words as possible. It's one of my favorite ways to warm up my brain before I start writing.

Could ChatGPT recreate it? Surprisingly, yes. It generated a set of letters, understood the rules and kept track of the words I found. In terms of pure functionality, it worked.

But what it couldn't recreate was the experience. The New York Times app is beautifully simple, with an interface designed around the game. Playing through a chat window felt really clunky and annoying by comparison. The whole point of this game is I'm focusing on the letters and words, I don't want a constant back and forth with ChatGPT about the words.

So I'm calling this a partial success. Yes, ChatGPT replaced the mechanics of the game, but not the experience. And after a few rounds, I knew which version I'd rather use every day.

Result: partial pass

4. Star gazing

(Image credit: Shutterstock / Milosz_G)

The Sky Guide app is one of my all-time favorites, especially its augmented reality mode. Turn on your phone's location and compass, point it at the night sky and it instantly tells you what you're looking at, whether that's constellations, planets, bits of debris, or the ISS. It's incredible.

Could ChatGPT replace it? Well, sort of. If you upload a photo of the night sky, ChatGPT can usually identify the constellations. But there are caveats. The image needs to be clear, the stars need to be visible and you're relying on a single snapshot. Whereas Sky Guide works continuously as you move your phone around the sky.

This was another reminder that knowledge doesn't necessarily bring you a good experience. Because yes, ChatGPT knows about constellations. But Sky Guide lets you explore them. You can point your phone in any direction, tap on a star or planet and instantly get more information about it without having to keep asking questions. It's a much more intuitive way to learn.

Result: partial pass

5. Weather

(Image credit: Shutterstock / Kaspars Grinvalds)

Telling me what to expect from the weather forecast for the day turned out to be one of ChatGPT's strongest categories.

The forecast was accurate and pulled from a reliable source, so I trusted the information it gave me. I did find myself asking follow-up questions for things like the hourly forecast and the chance of rain, which would have taken a single tap in a dedicated weather app.

It knew the answers and I trusted them, but getting to them was much slower. That's why I'm generously calling this one a pass.

Result: pass

6. Guided meditation

(Image credit: Shutterstock)

I have a few favorite apps I use for guided meditations and have some saved in Spotify too. So I wondered whether ChatGPT could take over that role.

For this test, I switched on voice mode and asked it to guide me through a short meditation. Now, technically it did that. But in practice it wasn't even remotely relaxing.

Thanks to a recent update, the voice had odd intonation, frequent vocal fry and distracting little "ums", "ahs" and "let me sees" throughout that constantly pulled me out of the experience. At one point it even told me to breathe in, then never got around to telling me to breathe out.

By the logic of how I graded the other tests, this one should have been a partial pass. It did what I asked, right? But because I had to stop using it out of irritation and came away from the mediation feeling actively more stressed, it's going down as a fail for me.

Result: fail

7. Calculator

(Image credit: Shutterstock / Teerawit Chankowet)

ChatGPT doesn't have a great track record of counting things, so I was wary about using it as a calculator. I asked it to do some massive sums for me and it got all of them right.

It did pause a few times with a "let me think" message, so I wasn't getting the instant response I'd expect from a calculator. But the delay was only a few seconds, and the answers were correct.

Once again, I found myself missing the simplicity of an app. Typing numbers into a calculator is faster than turning them into a conversation. But ChatGPT did work as a capable stand-in.

Result: pass

8. Movie recommendations

(Image credit: Letterboxd)

I love Letterboxd. I log every film I watch, browse other people's lists and regularly discover new films through recommendations.

Now, there was never a chance ChatGPT could replace the logging side of the app. It can't update my Letterboxd diary or plug me into that community. But recommendations are one of the main reasons I use it, so I wondered how well ChatGPT would do.

I asked it to recommend films similar to some of my favorites, then spent the next few evenings watching its suggestions to really test them. And, to my surprise, it did an excellent job.

Then again, that perhaps isn't all that surprising. We know LLMs are trained on huge amounts of publicly available text, especially discussions reviews and recommendations from where film fans gather online, like Reddit. But whatever the reason, the recommendations felt well matched to my taste.

What I missed wasn't the recommendations themselves, but the social side of Letterboxd. I do enjoy seeing what friends had watched, reading reviews and stumbling across unexpected lists. So, for me, ChatGPT can't replace Letterboxd, but for simply finding something to watch, it did well.

Result: pass

9. Maps

(Image credit: Google)

I rely on my Maps app both for planning journeys in advance and for live navigation. So I asked ChatGPT the best way to get from my home to the airport the following day.

At first, it handled the request well. It laid out the different travel options clearly under headings and the advice looked really sensible. It even cited sources from places like Rome2Rio and The Trainline.

Then things got unnecessarily complicated. At the end of those suggestions it asked what time my flight was so it could tailor the recommendations. But when I told it, it started creating a scheduled task instead. I didn't want a reminder, so I had to cancel that, explain what I actually meant and steer the conversation back to route planning.

Eventually, it gave me the information I wanted. But the Maps app would have got me there in a fraction of the time, without all the back and forth.

It also can't replace what I actually use Maps for the most, which is live, turn-by-turn navigation.

Result: partial pass

10. Food delivery

(Image credit: Shutterstock / GBJSTOCK)

ChatGPT obviously can't deliver food, but I wondered whether it could replace the part of the app I probably spend the longest on, which is deciding what to eat.

It got off to a surprisingly good start. It asked about my preferences, budget and location, then narrowed down the options and even presented them neatly on a map.

The recommendations themselves looked really good. They're all local places I already really liked to eat at. But there was just one problem. Every restaurant it suggested was closed. Even the map it generated had "closed" written beneath each one.

After a bit of back and forth, it said they weren't shut, eventually acknowledged that they were and suggested a different set of places instead.

Unfortunately, those weren't much use either. They were small independent cafés and restaurants that don't appear on food delivery apps. I wouldn't expect ChatGPT to know exactly which businesses partner with which delivery services, but it did highlight the gap between recommending somewhere to eat and actually helping me make a decision about where I could order from.

Result: fail

11. Language learning

(Image credit: Duolingo)

I still very reluctantly use Duolingo and have recently started trialling a few other language learning apps to polish my Spanish.

I asked ChatGPT to help me improve my Spanish for an upcoming trip and it suggested role-play ordering food in a café so I could practise.

We switched to voice mode and at first it felt genuinely fun. It held a natural back-and-forth conversation and felt much closer to speaking to a real person than working through a series of multiple-choice questions like in Duolingo.

But it was also noticeably glitchier than a dedicated language app thanks to that recent voice update. There were odd pauses in the conversation, and at one point it repeatedly kept marking one of my answers as incorrect when it wasn't. Shortly afterwards, the exercise just stopped working altogether after a bizarre "ummmmm" from ChatGPT.

When it was working, I actually enjoyed the experience more than using an app like Duolingo. But if I'm trying to learn a language properly, I also want something that's reliable.

Result: partial pass

12. Plant identification

(Image credit: Future)

I love identifying things I see in nature, like bird song with the Merlin app. But I most often rely on plant identifying apps when I'm walking to take a quick snap of a leaf or flower then find out more about it.

ChatGPT was really effective at doing this. I took pictures of leaves, trees, flowers and bushes. I was a little wary about the results at first because I know that ChatGPT tends to make guesses about things rather than admitting it doesn't know. But I did fact check all of the results and everything seemed accurate.

Again, I missed some of the simple, additional features in dedicated apps. But it was surprisingly effective.

Result: pass

Can AI really replace your apps?

Before drawing too many conclusions, it's worth pointing out that a true AI-native phone wouldn't just be ChatGPT running as another app like it was in this experiment. It would probably be integrated into the operating system. Which would mean it could access things like your calendars, timers, navigation and settings. So many of the tasks ChatGPT failed at here might become a whole lot easier with an AI-first phone.

This experiment was based on whether AI could replace the apps on my phone. What I found was that it replaces a specific kind of app. Well, sort of.

If an app's main job is providing information, explaining something or answering questions, AI is already a fairly capable alternative. Plant identification, travel advice, calculations and general knowledge all felt natural.

But if an app exists to perform an action quickly, like starting a timer, setting an alarm, finding restaurants for getting food delivered, opening a map, AI still has a long way to go. Those tasks depend on deeper integration with the device and a different way of working, not just how smart it is.

There are some big trade-offs, too. Dedicated apps often rely on specialist databases and expertise, while AI can still present incorrect answers confidently or fail to make its uncertainty clear. For example, when I was trying to identify a plant I felt wary because I'd generally trust an app built with the input of botanists over a chatbot.

And, as you could probably tell from my mounting frustration, a huge sticking point for me was also realizing how much I missed the interface of many apps.

For me, a well-designed app is always a better way to explore information than a conversation. I don't think everything should, or even can, be done through chat, despite that being the direction many AI companies seem to be heading. In fact, it showed me that a conversational interface can be more work rather than less.

It's impossible to know exactly what Apple and OpenAI's long-term plans are. But I can imagine a future where knowledge apps increasingly merge into AI, while utility apps remain part of the operating system itself.

If that happens, we may stop thinking about which app to open and simply ask AI instead. But for that future to actually catch one, I'd want stronger guarantees around accuracy, better integration with trusted sources and the option to step outside the chat interface more often.