Technology

• More details of the Galaxy tri-fold have leaked
• Expect NFC payments, wireless charging, and reverse charging
• It's likely to use an infolding form factor

Samsung gave us a brief glimpse of its tri-fold smartphone all the way back in January at the Galaxy S25 launch, but we're still waiting for it to see the light of day – and in the meantime, a fresh leak has given us some idea of what's coming.

Tipster @TechHighest (via SamMobile) has uncovered three animations relating to the tri-fold, which we're assuming are buried somewhere in the One UI software, though there's no clear indication of where these are sourced from.

The animations seem to confirm that – as previously rumored – this will use the infolding form factor, which means the main display is going to fold in from the sides, with a separate display on the other side that can be used when the phone is closed.

We also get a look at three features: NFC payments, wireless charging, and reverse wireless charging (so you can charge small gadgets like earbuds on the back of the phone). All very much expected, and on all of Samsung's recent flagship phones, but worth noting.

What we think we know

Morning pic.twitter.com/0BIxZG1c0xAugust 28, 2025

Besides that brief glimpse in January, Samsung hasn't said too much about what's coming with this tri-fold. It has, however, gone on record to say that the device is still on the way, and will be available to buy before the end of the year.

According to one tipster, the phone is going to break cover soon, and will be called the Galaxy Z Trifold – which of course would be a nod to the other foldables Samsung makes, most recently the Galaxy Z Fold 7 and the Galaxy Z Flip 7.

Other leaks that have emerged from Samsung's One UI software ahead of the tri-fold's launch include one showing an upgraded multitasking interface to make use of the bigger screen, and one showing how the three panels will fit together.

It looks as though the Qualcomm Snapdragon 8 Elite chipset is going to be on board, unsurprisingly, although charging speeds might be rather unspectacular. And if you're thinking of making a purchase, it's likely that you'll need deep pockets.

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Retail in the UK has embraced digital innovation – from websites and mobile apps to smart kiosks and even augmented‑reality mirrors reshaping the high street. But behind these advances lies a surprising weak spot: payments.

While stores innovate non-stop in customer experience, I’ve seen many continue to rely on outdated, disconnected payment setups – systems that only work via app, terminal, or wallet, and don’t communicate with each other. This fragmentation creates real friction for customers and chaos for finance and operations functions at these businesses.

To understand how far behind this puts retailers, consider this: in 2023, UK consumers made 18.3 billion contactless payments, up from 6.6 billion in 2018. That’s nearly 40% of all payments. And about a third of adults now tap their phone or card monthly.

The way people pay has changed – but many retail systems haven’t caught up.

Where it breaks down: click-and-collect

One of the clearest signs of this disconnect is the click-and-collect phenomenon. Anyone in retail will know it’s a hugely popular service – eMarketer reports that 64% of UK retailers offer it, and 15% of online orders are now picked up in-store, nearly double the pre-pandemic levels.

Buy Online, Pick Up In Store (BOPIS) is known to boost both footfall and basket size. But here’s the thing: when payments aren’t integrated across channels, this convenience starts to crumble. Staff often can’t verify transactions at pickup. Queues build. Trust erodes. The promise of frictionless shopping disappears.

It’s not just customers – back-office teams feel it too

Fragmented payments don’t only hurt the customer experience. They create severe operational strain behind the scenes.

Finance teams scramble to reconcile online and in-store revenue, often manually; risk teams lack a complete view of fraud across channels; marketing teams struggle to connect the dots between campaigns and conversions; and executives are forced to make strategic decisions based on partial, siloed data.

This isn’t just a technical challenge – it’s a barrier to business clarity, performance, and agility.

There’s momentum for change

Fortunately, momentum is building for smarter, more unified payment systems.

The UK’s financial infrastructure is modernizing. The Bank of England, in collaboration with HM Treasury and the FCA, has established the Retail Payments Infrastructure Board to overhaul the Faster Payments system. Their goal is to enable instant account-to-account (A2A) payments at checkout, reducing reliance on card networks like Visa and Mastercard, and lowering transaction fees.

At the same time, Soft-POS system technology is redefining how payments are accepted. Smartphones and tablets can now function as secure NFC terminals. Analysts project that the global value of Soft-POS transactions will rise from $23.9 billion in 2025 to $540 billion by 2030. Meanwhile, digital wallets are gaining ground fast. According to eMarketer, over 50% of UK adults use PayPal, and nearly 30% use Apple Pay, both online and in stores.

That’s not just preference – it’s an imperative. These options must be integrated seamlessly, not embedded as afterthoughts.

Unified payments drive trust and growth

A unified payment system is more than efficient – it’s powerful. In 2022, UK retailers lost approximately £1.2 billion to payment fraud. Global losses are projected to exceed $107 billion by 2029. Fragmented systems make it easier for bad actors to exploit weaknesses – testing stolen cards online, picking them up in-store, and vanishing before systems catch up.

But when payment channels are connected, fraud detection becomes faster, more accurate, and more actionable. Real-time insights enable teams to flag suspicious behavior and prevent fraud before it occurs. That kind of visibility can protect revenue, safeguard customers, and strengthen brand trust.

Tangible results for retailers

The impact of unified payments is already visible among retailers who’ve taken action. Failed pickups are dropping. Dispute volumes are shrinking. Financial close processes are becoming faster and more accurate. In-store teams are reporting smoother workflows, and marketing teams can finally track the ROI of campaigns with clarity.

For example, before we started working with retailer Nemesis Now, they were facing serious challenges. Getaway attacks had become a regular threat – fake orders and fraudulent refunds were causing a real disruption, with teams working overtime to fend off thousands of malicious requests.

With little urgency from their previous payment gateway provider, they had no choice but to work with their web development agency to identify vulnerabilities and block the attacks. It was a costly and stressful ordeal that highlighted just how critical a secure, unified payments setup really is.

In short, this isn’t just a backend win. When systems are connected, store associates can complete transactions without friction. Finance teams can report with confidence. Fraud analysts can respond to threats in real time. Executives gain a clear view of performance, and customers enjoy the kind of seamless, personalized experience that drives loyalty.

The stakes are high – and the moment is now

With contactless transactions now accounting for 38% of UK payments and cash still representing around 12%, retailers need to support a range of preferences securely and responsibly. The regulatory environment is also evolving, with PSD3, APP reimbursement requirements, and emerging technologies such as dark stores and real-time loyalty systems prompting retailers to reassess their payment infrastructure.

According to Gartner, those who treat payments as a strategic capability – rather than just a technical one – gain significant advantages in fraud resilience, agility, and customer retention. In today’s environment, those differences can define who leads and who lags.

From fragmentation to strategy

For retailers ready to move, there’s no need to start from scratch. Playbooks, integration frameworks, and benchmarks already exist – rooted in real-world examples, not vendor hype.

Fragmented payments don’t just slow things down—they erode trust. Unified systems restore confidence, sharpen decision-making, and unlock growth, from the first click to the final till. Giving payments a strategic seat at the table is no longer optional. It’s essential.

We list the best mobile payment apps.

This article was produced as part of TechRadarPro's Expert Insights channel where we 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/news/submit-your-story-to-techradar-pro

A CNET survey reveals why overall cost and subscription fees matter.

• New Performance version sees the 0-60mph sprint dispatched in 3.3 seconds
• Fresh alloy wheels and sporty design touches feature throughout
• Model Y Performance also boasts an all-new infotainment display

After a not-so subtle spoiler on social media earlier this week, Tesla has revealed a new Model Y Performance trim that will be available in the UK and select European markets, with first deliveries expected in September and October.

Priced at £61,990 UK or €61,990 in Ireland (around $83,500 / AU$128,000), the Model Y Performance delivers potent straight-line, erm, performance, with an official 0-60mph sprint time of just 3.3 seconds.

But rather than simply excelling in the traffic light Olympics, Tesla says the latest addition to the line-up has undergone rigorous validation and tuning, confirming that those spy shots from the Nurburgring were correct.

Thanks to a revised suspension system, including new springs, stabilizer bars, bushings and adaptive dampers, Tesla has been able to introduce a new selection of drive modes, with a dedicated Sport setting stiffening the ride to give the vehicle a more dynamic feel through corners.

Owners will also have more control over stability and traction control settings too, with the option to reduce traction control interventions when hitting the race circuit after the weekly shop.

Alongside the dramatic increase in performance (the powertrain now delivers 460bhp, compared to the 375bhp of the previous dual motor Model Y), Tesla has also introduced 21-inch ‘Arachnid’ forged alloy wheels, performance red brake calipers, a carbon fibre spoiler at the rear and aluminum pedals inside.

This is in addition to the new front and rear fascias that give it a more purposeful overall look — a massive improvement over the Model Y of old, we think you'll agree.

Getting Europe back on track

(Image credit: Tesla)

Seeing as the new Model Y Performance will be assembled at the company’s Gigafactory Berlin-Brandenburg, the UK and Europe will be among the first markets to receive the quickest accelerating Model Y.

It comes at a time when Tesla sales in those regions have started to slide at a rapid rate, with Chinese rivals making a huge and lightning fast impact on the overall market.

The likes of BYD, Zeekr, XPeng, Jaecoo, Omoda, Leapmotor and more have gained the attention of European buyers with excellent value propositions.

Although Tesla’s asking price isn’t exactly on the budget side of the spectrum, it’s still easier on the wallet than, say, a Porsche Taycan, Audi e-tron or BMW i5 M60 xDrive, all of which offer similarly brutal acceleration figures.

What’s more, Tesla still offers the everyday practicality that made the Model Y the best selling car on the planet in the first place.

The front seats might have been replaced by more bolstered sports offerings, but they will still be fantastically comfortable over big distances. The official WLTP range is pegged at an impressive 360-miles, with Tesla’s renowned efficiencies remaining baked into the package.

Finally, Tesla says an all-new 16-inch touchscreen with thinner bezels and higher resolution have been added to the Performance model, packing nearly 80% more pixels and a “smoother more immersive” experience than the one found on the 15.4-inch display on other Model Y variants.

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There’s a silent strain on security in today’s enterprises, and it’s coming from an unexpected source: the technology stack.

Technical debt is a $2.41 trillion problem in the United States. No wonder, then, that 87% of IT leaders rank tech debt reduction as a top five initiative for their organization, according to a new Enterprise Strategy Group survey. Respondents cited security concerns, escalating operating costs, and more.

How did organizations get this deep into application tech debt? What are the implications for security? And, most importantly: How can organizations begin to dig their way out?

A vicious cycle of short-term fixes

Tech debt is, at its core, the pain of applying yesterday's technology decisions to today's business needs.

Organizations frequently face trade-offs when it comes to technology. Most often, they find the best solutions for their complex problems, balancing network, security, and end-user priorities. Other times, they’re under pressure to move fast and constrained by limited resources, leading to quick fixes that complicate their tech stack.

This is how tech debt accrues, one well-intentioned decision at a time. As business demands intensify – whether due to growth, digital transformation, or external disruptions – IT and security teams make pragmatic choices and adopt point solutions to keep up.

But these bolt-on software purchases quietly snowball and mutate into an unmanageable web – eventually emerging loudly in the form of fractured IT infrastructure, inconsistent user experiences, ballooning operational costs, and unpredictable IT environments.

Not to mention, they make for a vastly increased attack surface. In this Swiss cheese effect of overlapping systems, the organization can spend more time patching holes and maintaining legacy scaffolding than innovating.

According to a Gartner survey of 162 large enterprises, conducted between August and October 2024, organizations use an average of 45 cybersecurity tools. It’s a vicious cycle of patch upon patch.

Time isn’t the only cost. Enterprise Strategy Group found that 47% of IT leaders point to escalating operational costs as a direct result of legacy infrastructure support. And 36% flagged increased security vulnerabilities as a growing concern tied to outdated systems.

Regardless of the justification for yesterday’s technology decisions, they all impact today’s enterprise systems—increasing complexity, maintenance burdens, and security vulnerabilities.

Tech debt has a SaaS problem

Most modern applications in use across the enterprise today are delivered in a SaaS model. For more than half of survey respondents, SaaS and legacy web-based applications represented a combined 61% of all application usage – the majority of those being classified as “business critical” apps.

In the enterprise, these critical apps require secure, modern access methods. However, to date, secure access has often come at the cost of convenience. Legacy access solutions like VDI and VPN weren’t designed with the SaaS-first enterprise in mind, creating friction for users, increasing overhead for IT teams, and offering limited visibility, control, or threat detection once users are inside the app.

Monitoring these apps requires bolted-on solutions, further increasing tech debt. Unsurprisingly, the number of respondents that indicated the desire to move off VDI solutions was a staggering 72%.

As SaaS adoption has accelerated, this mismatch between access architecture and application delivery has accelerated along with it—slowing agility, increasing risk, and complicating user experience across the board. Tech debt isn’t just a nuisance; it's an anchor dragging down enterprise security and efficiency.

Addressing tech debt at the point of access

As knowledge workers’ primary interface, the browser is central to accessing SaaS, internal apps, and digital workflows. Therefore, the most direct way to address the application tech debt challenge is to reimagine the browser itself.

Browsers like Chrome and Edge, while highly effective tools for consumers, were never designed for enterprise needs. It presents a huge security gap: 62% of sensitive corporate data is accessed via consumer browsers, and 35% of data leaks stem from those same browsers.

These browsers require a complex ecosystem of tools – data loss prevention (DLP), web gateways, remote browser isolation (RBI), endpoint agents, VPNs, and more – to try to secure browsing activity and protect sensitive data. Over time, these layers have compounded, contributing to tech debt in both security and application access by requiring ongoing management, troubleshooting, and upgrades.

Further complicating the tech debt challenge is the proliferation of AI tools. In these early days of AI adoption, end users and the enterprises in which they operate will undoubtedly choose multiple tools to address niche use cases without understanding the impact on data protection and user experience. And fresh competition will replace many of these tools almost as fast as they arise. Future technology decisions will need to address managing the sprawl of shadow AI and the new tech debt it creates.

The emergence of enterprise browsers

However, a new type of browser has emerged: enterprise browsers, which are designed exclusively for use in the workplace. Gartner recognized this new category of browsers in 2023. In April, Evgeny Mirolyubov, Sr Director Analyst at Gartner, said, “SEBs embed enterprise security controls into the native web browsing experience using a customized browser or extension for existing browsers, instead of adding bolt-on controls at the endpoint or network layer.”

Enterprise browsers are redefining how organizations approach application access. An enterprise browser streamlines the tech stack needed to secure, manage, understand, and enable access to critical apps and data.

With growing regulatory scrutiny and the rising sophistication of threats like phishing, browser-based malware, and insider threats, organizations must rethink access with security at the forefront. Enterprise browsers provide visibility and control down to the session level, enabling proactive enforcement and rapid incident response.

These browsers have the power to reduce reliance on legacy tools like VDI, VPNs, DLP, proxies, and various endpoint agents—eliminating layer upon layer of tech debt and enabling secure, efficient, and scalable access.

Secure access without the debt

For too long, organizations have been trapped in a loop where old decisions constrain new possibilities. Years of layering legacy access tools, fragmented security controls, outdated application architectures, and siloed observability and authentication systems have created a complex web of technical debt—one that undermines performance, cybersecurity, and scalability at a time when seamless, secure, and cloud-optimized access is more critical than ever.

Finally, there’s an off-ramp from this loop. By reconsidering the browser, forward-thinking enterprises are not just reducing debt—they’re building resilience for the next generation of digital transformation.

We list the best IT management tools.

This article was produced as part of TechRadarPro's Expert Insights channel where we 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/news/submit-your-story-to-techradar-pro

The Metal Gear Solid 3 remake reintroduces a landmark stealth game series in 4K glory, with all the shine and gleam that comes from a modern remake. Now we've had time to play the game, you can read TechRadar Gaming's Metal Gear Solid Delta: Snake Eater review.

Over twenty years after the release of the original, the remake recreates a similar experience while boasting more modernized mechanics and visuals. Titled Metal Gear Solid Delta: Snake Eater, and also being referred to as just 'Metal Gear Solid 3 Remake', this is an exciting new way to play a stone cold classic

Now that the game is out, here’s everything you need to know about Metal Gear Solid Delta: Snake Eater.

Metal Gear Solid 3 Remake - Cut to the chase 

• What is it? A remaster of the esteemed Metal Gear Solid 3: Snake Eater
• When did it come out? August 28, 2025
• What can I play it on? PlayStation 5, Xbox Series X|S, PC
• Who is making it? Konami

Metal Gear Solid 3 remake release date and platforms

(Image credit: Konami)

Metal Gear Solid 3 Remake launched August 28, 2025. This was revealed during a State of Play event. Metal Gear Solid Delta: Snake Eater is out on PS5, Xbox Series X|S, and PC.

Unfortunately, the game isn’t going to receive any last-gen ports, so if you’re still rocking older hardware, it might be worth looking to upgrade your setup prior to release if the game is a must-play for you. With how highly praised the original game was, there's a strong chance that it could now fall among not only the best Xbox Series X games, but the best PS5 games too.

Metal Gear Solid 3 remake trailers

(Image credit: Konami)

The latest Metal Gear Solid Delta: Snake Eater trailer gives an overview of the new online mode. It's called Fox Hunt, and pits players against each other in a deadly game of hide and seek:

A trailer for Metal Gear Solid 3 Remake dropped alongside the full release date:

Konami dropped a dazzling in-engine look at the game as part of the Xbox Showcase event that aired on June 9, 2024. In it, we see plenty of gameplay, including our first look at The Boss. Check it out below:

Before that, there was our first proper look at gameplay. This trailer not only gave us a splendid look at how the game runs and moves, but also showed us some updated shots of iconic parts and areas of the game, from the ruins where Snake finds Sokolov, to the mountaintop trenches, to the swamps with large reptile friends, the rope bridge that houses the climax of the Virtuous mission, and what looks like the location of the boss battle with The Pain. It really does look incredible and looks to be brilliantly brought to life in the Unreal Engine 5.

In these short clips, however, we also get a brief look at gameplay with Snake taking cover behind trees to investigate patrolling guards and also eyeing one up to shoot in first-person view. Check it out in all its 4K glory below.

Before the above video, we only had one Metal Gear Solid 3 remake trailer in the form of the announcement - and it doesn’t give any information away regarding in-game content. Instead, it takes us through an animated rendition of the jungle landscape players of the original Metal Gear Solid 3 may recognize.

After following a colony of ants, followed by a bird in flight, and then a large snake and crocodile, we get our first glimpse at Snake. The end of the trailer announces the name Metal Gear Solid Delta: Snake Eater, but we don’t receive anything about platforms or a release date.

What we can glean from the trailer though are a bunch of call-backs, nods, and 'easter eggs' which are great fun for existing fans to identify - even if we don't see any in-game action or mechanics. Some specifically good nods are being able to make out the silhouette of the Shagohod in the clouds at the beginning, the parrot almost certainly being The End's companion bird, and the poison dart frog giving a nod to The Fear.

Also, as well as the trailer, the official screenshots that have been released make for great viewing too: and importantly seem to indicate that environments and spaces won't be drastically changed, and will get the beautifying treatment while retaining their original layout, style, and features.

Metal Gear Solid 3 remake story and setting

(Image credit: Konami)

The majority of the setting of Metal Gear Solid 3 is in a jungle in Russia, during the Cold War, which is echoed through the brief pan we receive in the announcement trailer.

The story has been confirmed to remain the same as the original game, so if you’ve already played the 2004 version, you’ll probably know what to expect. But, if you’re among the players who are yet to experience what Metal Gear Solid 3 has to offer, and you’d rather now wait for the remake rather than play the original, then the story is still worth brushing up on so you’ll be able to experience the high-stakes action without having to learn too much on the spot.

MGS3 serves as a prequel to the rest of the saga, and because of this, it lays out the origins of Big Boss, a major character within the series, and walks you through the infiltration of Soviet territory to prevent the construction of a weapon of mass destruction. It becomes your job as 'Naked Snake' to carry out missions (as part of the larger mission at hand) translated through radio messages, boss fights, stealthy espionage action, and to avoid blowing your cover to do what's right.

In addition to setting up the series, MGS3 is the first game (despite being a prequel) to stray from the traditional formula of Metal Gear Solid games in terms of its technology, relying more on using the wilderness to your advantage rather than leaning on and defending yourself against high tech. Even though you can use it to your advantage, the wilderness and its ferocious inhabitants are also ready to blow Snake’s cover, so you need to stay alert at all times.

Metal Gear Solid 3 remake gameplay

(Image credit: Konami)

As mentioned above, the latest in-engine look at the Metal Gear 3 remake also showed off some glimpses of familiar gameplay. We see Snake taking aim in first-person view from long grass, carefully wading through marshes past reptilian beasts, taking cover behind trees and ruins, and also a clear look at the way Snake moves while crouched, walking, climbing, and leaning. We also see a short clip of Snake taking down a guard from behind - the motions are familiar but much more fluid and seamless when compared to the original.

Away from what we've seen in that trailer, however, and similarly to the story, we expect the Metal Gear Solid 3 remake gameplay to stick pretty closely to the source material. While the general premise of stealth and combat-heavy interactions is expected to continue, we do expect the newest iteration of the game to feel more polished in comparison to its 2004 counterpart.

That said, there could be several mechanics that have been fine-tuned or adapted to make the experience more streamlined and up-to-date. As confirmed in a Tweet posted on the official Metal Gear Solid page, MGS Delta: Snake Eater, is intended to be a ‘faithful recreation of the original story and game design, while evolving the gameplay with stunning visuals and a seamless user experience.’ Perhaps the game will get similar treatment to the Resident Evil remakes of recent years, with a full overhaul of the camera and mechanics to bring the game into the modern day.

The content of the original game was praised for being before its time, so we are keen to see how exactly these are adapted for a more beneficial user experience. Mechanics such as healing were pretty challenging throughout the original and included a lot of in-menu work, but whether or not this will be among the elements being evolved is currently unknown. If there's an aim to make this, in particular, more fluid, then this would be music to the ears of a lot of existing fans, as well as a new audience.

While there’s still a lot to uncover about how exactly the remake will build upon the foundations set by the original, we aren’t going in entirely blind. A new showcase diving into the game's mechanics reveals two ways to play. A legacy mode will allow players to keep classic controls, and a camera view that more closely resembles the original experience. The modern mode offers an over the shoulder third-person shooter feel, matching more modern shooters.

Metal Gear Solid 3 remake news

(Image credit: Konami)

Multiplayer mode won't be crossplay
Konami has confirmed that Metal Gear Solid Delta: Snake Eater's multiplayer mode, Fox Hunt, won't support cross-play between console and PC.

Metal Gear Solid Delta: Snake Eater is getting a new online mode
Revealed during the Konami Press Start livestream on June 12, the publisher describes Fox Hunt as a "completely original online battle mode" that will play differently from 2008's Metal Gear Online.

Fox Hunt, which is being directed by series veteran Yu Sahara, takes place in the same world as the main game and will offer "hide and seek" mechanics, mixed with stealth and survival elements.

Konami provides new deep-dive into the latest trailer
Thanks to a new Metal Gear Production Hotline video, you can get some additional info, and a breakdown of the latest trailer. You'll see some details on the game's legacy mode, as well as some reveals on how the team has approached voice acting.

Metal Gear Solid Delta: Snake Eater will feature all the original voices As confirmed in a Tweet, all the original voices from the 2004 Metal Gear Solid 3 will be used in the remake. Rather than inviting voice actors back to re-record lines, the audio will be taken from the original game, which will feed into the honest recreation the remake promises to deliver.

Metal Gear Solid Delta: Snake Eater announced as part of Sony’s State of Play Metal Gear Solid Delta: Snake Eater, a remake of the 2004 Metal Gear Solid 3, was announced as part of Sony’s State of Play on May 24, 2023. Although the trailer showcased no in-game content or information regarding the storyline or a release date, it has been confirmed a remake is in the works.

Metal Gear Solid 3 remake Hideo Kojima involvement

When the official announcement of the Metal Gear Solid 3 remake came, one of the major things that fans were wondering was whether or not Hideo Kojima himself would be involved. Even though the famous game creator is no longer at Konami and has his own game development studio, the intrigue was still strong as to whether he may consult with the remake or give advice in some capacity - it is one of his games after all, and one of the best he has made.

However, as IGN reported after speaking to Konami about the remake earlier this summer. IGN asked about whether Kojima or Yoji Shinkawa - another crucial cog in the Metal Gear Solid series - would be involved. A Konami spokesperson responded plainly by saying that: "They are not involved."

So there we have it, clear as day, Hideo Kojima is not involved with the Metal Gear Solid 3 remake.

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Imagine a digital version of yourself that moves faster than your fingers ever could - an AI-powered agent that knows your preferences, anticipates your needs, and acts on your behalf. This isn't just an assistant responding to prompts; it makes decisions. It scans options, compares prices, filters noise, and completes purchases in the digital world, all while you go about your day in the real world. This is the future so many AI companies are building toward: agentic AI.

Brands, platforms, and intermediaries will deploy their own AI tools and agents to prioritize products, target offers, and close deals, creating a new universe-sized digital ecosystem where machines talk to machines, and humans hover just outside the loop. Recent reports that OpenAI will integrate a checkout system into ChatGPT offer a glimpse into this future – purchases could soon be completed seamlessly within the platform with no need for consumers to visit a separate site.

AI agents becoming autonomous

As AI agents become more capable and autonomous, they will redefine how consumers discover products, make decisions and interact with brands daily.

This raises a critical question: when your AI agent is buying for you, who’s responsible for the decision? Who do we hold accountable when something goes wrong? And how do we ensure that human needs, preferences, and feedback from the real world still carry weight in the digital world?

Right now, the operations of most AI agents are opaque. They don’t disclose how a decision was made or whether commercial incentives were involved. If your agent never surfaces a certain product, you may never even know it was an option. If a decision is biased, flawed, or misleading, there’s often no clear path for recourse. Surveys already show that a lack of transparency is eroding trust; a YouGov survey found 54% of Americans don't trust AI to make unbiased decisions.

The issue of reliability

Another consideration is hallucination - an instance when AI systems produce incorrect or entirely fabricated information. In the context of AI-powered customer assistants, these hallucinations can have serious consequences. An agent might give a confidently incorrect answer, recommend a non-existent business, or suggest an option that is inappropriate or misleading.

If an AI assistant makes a critical mistake, such as booking a user into the wrong airport or misrepresenting key features of a product, that user's trust in the system is likely to collapse. Trust once broken is difficult to rebuild. Unfortunately, this risk is very real without ongoing monitoring and access to the latest data. As one analyst put it, the adage still holds: “garbage in, garbage out.” If an AI system is not properly maintained, regularly updated, and carefully guided, hallucinations and inaccuracies will inevitably creep in.

In higher-stakes applications, for example, financial services, healthcare, or travel, additional safeguards are often necessary. These could include human-in-the-loop verification steps, limitations on autonomous actions, or tiered levels of trust depending on task sensitivity. Ultimately, sustaining user trust in AI requires transparency. The system must prove itself to be reliable across repeated interactions. One high-profile or critical failure can set adoption back significantly and damage confidence not just in the tool, but in the brand behind it.

We've seen this before

We’ve seen this pattern before with algorithmic systems like search engines or social media feeds that drifted away from transparency in pursuit of efficiency. Now, we’re repeating that cycle, but the stakes are higher. We’re not just shaping what people see, we’re shaping what they do, what they buy, and what they trust.

There's another layer of complexity: AI systems are increasingly generating the very content that other agents rely on to make decisions. Reviews, summaries, product descriptions - all rewritten, condensed, or created by large language models trained on scraped data. How do we distinguish actual human sentiment from synthetic copycats? If your agent writes a review on your behalf, is that really your voice? Should it be weighted the same as the one you wrote yourself?

These aren’t edge cases; they're fast becoming the new digital reality bleeding into the real world. And they go to the heart of how trust is built and measured online. For years, verified human feedback has helped us understand what's credible. But when AI begins to intermediate that feedback, intentionally or not, the ground starts to shift.

Trust as infrastructure

In a world where agents speak for us, we have to look at trust as infrastructure, not just as a feature. It’s the foundation everything else relies on. The challenge is not just about preventing misinformation or bias, but about aligning AI systems with the messy, nuanced reality of human values and experiences.

Agentic AI, done right, can make ecommerce more efficient, more personalized, even more trustworthy. But that outcome isn’t guaranteed. It depends on the integrity of the data, the transparency of the system, and the willingness of developers, platforms, and regulators to hold these new intermediaries to a higher standard.

Rigorous testing

It’s important for companies to rigorously test their agents, validate outputs, and apply techniques like human feedback loops to reduce hallucinations and improve reliability over time, especially because most consumers won’t scrutinize every AI-generated response.

In many cases, users will take what the agent says at face value, particularly when the interaction feels seamless or authoritative. That makes it even more critical for businesses to anticipate potential errors and build safeguards into the system, ensuring trust is preserved not just by design, but by default.

Review platforms have a vital role to play in supporting this broader trust ecosystem. We have a collective responsibility to ensure that reviews reflect real customer sentiment and are clear, current and credible. Data like this has clear value for AI agents. When systems can draw from verified reviews or know which businesses have established reputations for transparency and responsiveness, they’re better equipped to deliver trustworthy outcomes to users.

In the end, the question isn’t just who we trust, but how we maintain that trust when decisions are increasingly automated. The answer lies in thoughtful design, relentless transparency, and a deep respect for the human experiences that power the algorithms. Because in a world where AI buys from AI, it’s still humans who are accountable.

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This article was produced as part of TechRadarPro's Expert Insights channel where we 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/news/submit-your-story-to-techradar-pro

As AI tools become part of everyday life, most people believe they would be better equipped to spot AI-generated scams, but new research reveals a worrying trend: as people get more familiar with AI, they’re more likely to fall for these scams.

New research finds that the generations most confident in detecting an AI-generated scam are the ones most likely to get duped: 30% of Gen Z have been successfully phished, compared to just 12% of Baby Boomers.

Ironically, the same research found that fear of AI-generated scams decreased by 18% year-over-year, with only 61% of people now expressing worry that someone would use AI to defraud them. During the same period, the number of people who admitted to being successfully duped by these scams increased by 62% overall.

A Proliferation of Scams

Traditional scam attempts rely on mass, generic messages hoping to catch a few victims. Someone receives a message from the “lottery” claiming that a recipient won a prize, or a fake business offering someone employment. In exchange for providing their bank account details, the messages would promise money in return. Of course, that was never true, and instead the victim lost money.

With AI, scammers are now getting more personalized and specific. A phishing email may no longer be riddled with grammatical errors or sent from an obviously spoofed account. AI also gives scammers more tools at their disposal.

For example, voice cloning allows scammers to replicate the voice of a friend or family member with just a three second audio clip. In fact, we’re starting to see more people swindled out of money because they believe a message from a family member is asking for ransom, when it’s actually from a scammer.

The Trust Breakdown

This trend harms both businesses and consumers. If a scammer were to gain access to a customer’s account information, they could drain an account of loyalty points or make purchases using a stolen payment method. The consumer would need to go through the hassle of reporting the fraud, while the business would ultimately need to refund those purchases (which can lead to significant losses).

There’s also a long-term impact to this trend: AI-generated scams erode trust in brands and platforms. Imagine a customer receiving an email claiming to be from Amazon or Coinbase support, an unauthorized user was trying to gain access to their account, and that the user should call support immediately to fix the issue. Without obvious red flags, they may not question its legitimacy until it’s too late.

A customer who falls for a convincing deepfake scam doesn't just suffer a financial loss; their confidence in the brand is forever tarnished. They either become hyper-cautious or opt to take their business elsewhere, leading to further revenue loss and damaged reputations.

The reality is that everyone pays the price when scams become more convincing, and if companies fail to take steps to establish trust, they wind up in a vicious cycle.

What's Fueling the Confidence Gap?

To address this confidence gap, it’s important to understand why the divide exists in the first place. Digital natives have spent years developing an intuitive sense for spotting "obvious" scams — the poorly written emails or suspicious pop-ups offering a free iPod. This exposure creates a dangerous blind spot: when AI-generated scams perfectly mimic legitimate communication, that same intuition fails.

Consider how the brain processes a typical workday. You're juggling emails, Slack messages, and phone calls, relying on split-second pattern recognition to separate signal from noise. A message from "your bank" looks right, feels familiar, and arrives at a plausible time.

The problem compounds when scammers use AI to perfectly replicate not just logos and language, but entire communication ecosystems. They're not just copying Amazon's email template; they're replicating the timing, context, and behavioral patterns that make legitimate messages feel authentic. When a deepfake voice call sounds exactly like a colleague asking for a quick favor, a pattern-matching brain tends to confirm that interaction as normal.

This explains why the most digitally fluent users are paradoxically the most vulnerable. They've trained themselves to navigate digital environments quickly and confidently. But AI-powered scams exploit that very confidence.

What Tech Leaders Should Do Now

For companies, addressing this overconfidence problem requires a multi-pronged approach:

Inform customers without fear-mongering: Help users understand that AI-powered scams are convincing precisely because they're designed to deceive the most confident, tech-savvy people. The goal isn't to make people stop using AI, rather to help them maintain appropriate skepticism.

Educate them on deepfake scams: Focus on identifying the key signs of a legitimate versus fraudulent message (sent from an unknown number, a message with false urgency, a suspicious link or PDF attached). Show current examples of deepfakes and AI-generated phishing, rather than just talking about traditional fraud awareness.

Keep communication channels transparent: Establish clear, verified communication channels and educate customers about how your company will and won't contact them. The good news is that many providers, including Google, Apple, and WhatsApp currently or will soon offer branded caller ID services.

This means companies can establish a business profile with these apps, adding another layer of verification. That way, when a verified business contacts a customer, their message will clearly show the brand name and a verified badge. Similarly, most brands now authenticate their outbound email to conform with the DMARC delivery standard and qualify for a branded trust mark to show up next to the subject line.

Invest in knowledge sharing: If one company is dealing with an influx of scam attempts, other companies are likely facing similar problems. Scammers often collaborate to share tactics and vulnerabilities; companies should do the same.

Many companies fight fraud by using technologies that incorporate insight-sharing “consortiums”—business networks where fraud patterns are shared across companies. By being open about current challenges, companies can better understand the risks and implement the proper safeguards to keep their customers safe.

The Strategic Advantage of Getting This Right

The businesses that will thrive in this environment are those that maintain identity trust—that is, the ability to recognize a user or interaction within a digital environment—while effectively combating increasingly sophisticated threats. Fraud prevention is no longer just about protection from losses, it’s a critical part of the customer experience. That’s because when customers feel safe, they shop confidently.

By tackling users’ AI blindspots while maintaining trust, companies gain a competitive edge. While the AI revolution has introduced incredibly capable tools, it’s also created unexpected vulnerabilities. Addressing this challenge requires more than just different tools. It demands a fundamental rethinking of how we maintain trust when seeing is no longer enough to believe.

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This article was produced as part of TechRadarPro's Expert Insights channel where we 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/news/submit-your-story-to-techradar-pro

Artificial Intelligence (AI) is one of the most talked-about technologies of our time. It dominates headlines, fuels boardroom ambition, and drives product roadmaps across every industry. From generative AI chatbots to multi-modal systems and autonomous agents, the sheer velocity of advancement is staggering. But while the pace of innovation is accelerating, it has also created a growing disconnect: everyone wants AI, but far fewer know what to actually do with it.

This gap between excitement and effective execution is fast becoming a defining challenge of the AI era. The technology is racing ahead, but organizational readiness is lagging. Many businesses know they need to act but are unclear on how to deploy AI in ways that are safe, strategic, and genuinely transformative.

To bridge this gap, education is critical. And we don’t just mean educating developers and data scientists, senior leadership needs a foundational understanding of AI’s capabilities and limitations. They must grasp where it can create value, what it takes to scale safely, and how to prepare the wider organization for what’s to come. Without this knowledge, AI risks becoming another overhyped tool that fails to deliver meaningful returns.

Where AI is already delivering value

Despite these challenges, AI is already making a tangible impact in focused, high-value areas. These use cases might not generate the loudest headlines, but they offer a glimpse of what’s possible when strategy and execution are aligned.

In customer service, AI is proving to be a powerful support tool. For example, it can generate real-time summaries and recommendations for call center agents, improving both the accuracy and speed of responses. AI-driven sentiment analysis is helping agents better understand customer mood and intent, leading to more empathetic and efficient interactions and a better overall customer experience.

Even more promising is the rise of agentic AI. This technology goes beyond supporting decisions; it can make them. It allows AI systems to reason, troubleshoot, and take action with minimal human input. In practical terms, that means handling common customer queries end-to-end, freeing up human agents for more complex cases.

AI is also boosting operational efficiency. It automates repetitive tasks such as document management, form filling, and data extraction. In sectors like insurance or healthcare, where case management involves large volumes of structured and unstructured data, AI can drastically cut processing times while improving consistency.

These use cases may seem behind the scenes, but they matter. They represent practical, measurable improvements to core operations. They reduce costs, enhance experiences, and give staff more time to focus on higher-value work. That’s real value, not just buzz.

The roadblocks to real impact

But let’s not pretend it’s all smooth sailing. For every success story, there are countless stalled pilots and unrealized ambitions. So, what’s holding businesses back?

First, data sensitivity is a major hurdle, especially in regulated industries like finance and healthcare. Questions about where data is stored, how it’s processed, and who can access it are under constant scrutiny. Compliance isn’t optional, and many AI deployments struggle to meet evolving privacy standards.

Security is another growing concern. As generative models become more sophisticated, so do the risks. Prompt injections, model poisoning, and adversarial attacks are no longer hypothetical, they’re real-world threats that demand serious governance.

Technical limitations also play a role. Hallucinations, where AI generates plausible sounding but incorrect outputs, remain a significant risk. In high-stakes settings like legal advice or medical triage, these errors can be costly or even dangerous. Many models still exhibit cultural or linguistic biases embedded in their training data; this erodes trust and limits wider adoption.

Then there’s the infrastructure challenge, training and running large models is resource intensive, requiring robust compute power, strong data governance, and an architecture capable of scaling. For many organizations, especially smaller ones, the investment can feel out of reach.

All of this contributes to a reality where AI is often deployed in silos or as experiments, rather than integrated at scale. Without a broader strategy and framework, these efforts struggle to drive sustained business value.

Why platform thinking matters

Against this backdrop, we’re seeing the emergence of platform-based approaches as a more sustainable model. Rather than building every AI capability from scratch, organizations are turning to purpose-built platforms that are secure, scalable, and designed with sector-specific needs in mind.

These platforms provide a structured environment where AI can be developed, tested, and deployed safely. They offer features like built-in compliance controls, explainability tools, and integration with existing systems. Crucially, they shift the conversation from isolated tools to integrated ecosystems.

That shift matters, it gives teams more confidence to innovate and leaders more visibility into where AI is making an impact. It also helps balance the tension between innovation and governance, a line that’s becoming increasingly important to walk.

What comes next: Less hype, more strategy

As AI maturity grows and attention shifts to even more advanced ideas, like artificial general intelligence and fully autonomous agents, businesses must keep their feet on the ground.

The winners won’t be those who rush the fastest, but those who build the most solid foundations.

That means adopting AI not as a silver bullet, but as a strategic asset. The focus should be about embedding AI into core workflows, upskilling teams, and designing governance models that support responsible use. It’s about building explainable, auditable systems. It’s about connecting AI initiatives to clear business goals and measuring what matters.

To do this well, organizations must invest in cultural readiness as much as technical capability. That includes fostering cross-functional collaboration, engaging stakeholders early, and creating a shared language around AI value. It means setting the right expectations and learning from early missteps. This may not always be flashy, but it’s what drives real progress.

The promise of AI is enormous. But the path to that promise runs through thoughtful, grounded, and strategic implementation. The businesses that get this right will be those that stop chasing the hype and start building what works.

Everyone wants AI. But only those who know what to do with it will unlock its full potential.

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This article was produced as part of TechRadarPro's Expert Insights channel where we 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/news/submit-your-story-to-techradar-pro

Here are the answers for The New York Times Mini Crossword for Aug. 29.

The Pitt season 2: key information

- Will arrive in January 2026
- Teaser trailer released in August 2025
- Production began in June 2025
- Main cast set to return
- New recurring characters revealed
- Season 2 will time jump to 10 months ahead
- Hopes for future seasons

The Pitt season 2 is coming in January 2026, only a year after the popular HBO Max show premiered on the streamer. The medical drama saw ER's Noah Wyle as the dynamic Dr. Michael 'Robby' Robinavitch taking charge of an incredibly stressful day at the Pittsburgh Trauma Medical Hospital.

And traumatic it most certainly was, culminating in a rather dramatic finale that fortunately, viewers won't have to wait too long to find some resolve. But, in true hospital fashion, as one intense shift ends, another begins (though with a time jump, which I'll get into more below) as the medical staff begin another day with even more drama. Here's everything we know so far from release date, confirmed cast, plot synopsis, and more.

Full spoilers for The Pitt season 1 to follow.

The Pitt season 2: is there a release date?

We're so back.Season 2 of #ThePitt has begun filming. Stream Season 1 now on Max. pic.twitter.com/EfBYnrBzLuJune 16, 2025

The Pitt season 2 release date has been confirmed – and it's January 2026. Revealed by Max CEO Casey Bloys in conversation with Vulture back in March, he said: "The second season will premiere in January of 2026, a year later. This model of more episodes cuts down on the gap between seasons."

With season 1, we were treated to an epic 15 episodes worth of emergency room drama. And it appears season 2 will follow suit, Bloys added: "What I love about something like The Pitt is, I can get 15 episodes in a year. That's a really great addition to what we're already doing on the platform. And I'd like to do more shows in this model."

After a February 2025 renewal, the show headed into production on season 2 in June amid official news from HBO Max that the series had stayed among the top three of the streamer's most-watched titles globally.

The Pitt season 2 trailer

The Pitt season 2 got its first official teaser trailer in August and it reveals more high-octane medical drama unravelling in the emergency room as doctors struggle with an overwhelming rush of patients in dire need of help.

But, it did make us say, hang on, hasn't The Pitt season 2's first trailer spoiled a major season 1 cliffhanger? In the first five seconds, Dana can be seen back at work, standing behind the desk. Surprising news considering the season 1 finale saw her seriously questioning whether she could keep doing the job. She's back and I'm not mad about it, quite the opposite.

The Pitt season 2 teaser trailer is also great confirmation for other cast members, alongside Dana, returning for the next installment.

The Pitt season 2 confirmed cast

The main cast will return for The Pitt season 2 (Image credit: HBO Max)

Spoilers follow for The Pitt season 1.

Thanks to the teaser trailer, here's The Pitt season 2 confirmed cast we know so far:

• Noah Wyle as Dr. Michael 'Robby' Robinavitch
• Katherine LaNasa as Dana Evans
• Fiona Dourif as Dr. Cassie McKay
• Patrick Ball as Dr. Frank Langdon
• Supriya Ganesh as Dr. Samira Mohan
• Taylor Dearden as Dr. Melissa King
• Isa Briones as Dr. Trinity Santos
• Shabana Azeez as Dr. Victoria Javadi
• Gerran Howell as Dr. Dennis Whitaker
• Shawn Hatosy as Dr. Jack Abbot

Dr. Heather Collins won't be returning for season 2 (Image credit: HBO Max)

There's one character that won't be returning for The Pitt season 2 and that's Tracey Ifeachor as Dr. Heather Collins, as confirmed by Deadline. While it's not clear the reasons behind her exit, Ifeachor posted on her official Instagram to say: "It was an absolute privilege to play Dr. Heather Collins in such a groundbreaking season and piece."

We also know about some new characters joining The Pitt season 2. Lawrence Robinson will play Brian Hancock, "a sweet, charming and kind-hearted patient who turns a soccer injury into a possible meet-cute with one of the doctors" (as per Deadline).

Sepideh Moafi also joins as a series regular playing an attending physician, as well as Charles Baker, Irene Choi, Laëtitia Hollard and Lucas Iverson in recurring roles, as exclusively revealed by Deadline.

Finally, in another reveal by Deadline, Zack Morris is also joining as Jackson Davis, "a patient brought to the ED after an uncontrollable outburst in the college library."

The Pitt season 2 story speculation

The Pitt season 2 picks up on Langdon's first day back (Image credit: HBO Max)

Full spoilers follow for The Pitt season 1.

For The Pitt season 2, the cast will pick up in the emergency room 10 months after the intense shift that unravelled in season 1.

This time jump was revealed during Deadline's Contenders TV panel in April and it was further explained by the creative team that season 2 will take place over the Fourth of July weekend for another 15 hours and 15 episodes of medical emergencies.

And when it comes to the reason for this time jump, the show's creator R. Scott Gemmill revealed to TVLine that it has a lot to do with Dr. Langdon's recovery.

The season 1 finale saw Dr. Robby tell Langdon that if he wants to return to Pittsburgh Trauma Medical Center, then he has to check himself into a 30-day inpatient rehab. Of course, that's not 10 months. But, recovery isn't linear.

Gemmill said: "Thirty days is probably the minimum he would have to do. You can do 60, 90... and part of [the time jump] is driven by when he can shoot in Pittsburgh."

He added: "Nine, basically 10 months later, gives a lot of room for us to have developed a few stories in the interim and catch up with everyone. And with it being Langdon's first day back, we get to catch up as he catches up with all those people."

And like season 1, the next season will follow the same 15-hour schedule running from 7am to 10pm and all the intense medical situations that can bring in, especially over the Fourth of July weekend.

While the season 1 finale saw Dana's return unclear, she's back (Image credit: HBO Max)

The recovery wasn't just for Langdon though with Dr. Robby having to address his own mental health issues and speaking to TVLine in April, Gemmill said: "Getting himself mentally healthy against is part of his journey."

With such stressful jobs, the pressure was unsurprisingly getting to the doctors and none more so than Dana Evans who we last saw packing up her things in the season 1 finale and telling Dr. Robby she was thinking about leaving the ER for good.

Fortunately, we know she didn't commit to this, appearing in the first official teaser trailer very much still part of the team (despite a stern look pointed towards Dr. Robby).

And with new characters joining for season 2, there's plenty of new faces – both doctors and patients – that I'm sure will bring their own personal dramas (and medical cases) to The Pitt.

What they won't be doing in the 15 hours that will unfold on our screens though, is ever leave the ER. Gemmill explained: "The reality is that we don't really leave our set. We don't leave the ER. We did a few things at the very end where we saw people going home and stuff.

"But beyond that, I don't expect us to go anywhere beyond the hospital and the ambulance bay until the last episodes of next season, and maybe we'll see a couple other parts of the hospital."

The real-life medical landscape is reflected in season 2 (Image credit: HBO Max)

And although they're not stepping outside of the hospital, it doesn't mean they can't address real-time and real-life concerns that affect medical care in the US.

Speaking to Variety, executive producer John Wells explained that this includes President Trump's 'Big Beautiful Bill', outlining a 12% cut to Medicaid spending: "The Medicaid changes are going to have a significant impact, and you don't have to take a political position to discuss what the impact is actually going to be."

Gemmill added: "We take out platform very seriously. I think one of the things when you can reach 10 million people – and this was true back in the day on 'ER' as well – is with that amount of people listening, you have to be responsible for what you put out there."

Will The Pitt return after season 3?

Could The Pitt become an annual drop for HBO Max? (Image credit: Max)

With The Pitt season 2 landing on HBO Max in January, there's no news yet of a season 3... and beyond. It doesn't necessarily mean we'll have to wait until January for news of more though, given season 2 was treated to an early renewal.

But, for now, I don't have much to report other than Gemmill joking with Deadline that: "If there’s a season 12, we’ll do a musical. Right now, we kind of want to stick to what was working for us, but we’re still learning. It’s a process."

While season 12 sounds crazy to talk about now (and a musical even crazier), ER did run for 15 seasons. So, maybe it's not all that wild of an idea after all.

For more Max-focused coverage, read our guides on the best Max shows, best Max movies, The Last of Us season 2, and Peacemaker season 2.

You'll receive a free replacement capacitor, and you don't need proof of purchase.

Here are hints and the answers for the NYT Connections: Sports Edition puzzle for Aug. 29, No. 340.

Peacock Premium Plus is available to Prime Video customers for $17 per month.

• FugakuNEXT will combine Fujitsu CPUs and Nvidia GPUs in Japan’s next national supercomputer
• The system targets 600EFLOPS FP8 performance with a 100x application performance gain
• Riken, Fujitsu, and Nvidia see the project as defining a new AI-HPC standard

Japan is preparing its next national supercomputer, FugakuNEXT, through a collaboration between Fujitsu, Nvidia and Riken.

The system is planned for operation around 2030 and aims to blend simulation and artificial intelligence into one tightly integrated platform.

For the first time in a Japanese flagship project, GPUs will be used as accelerators. Nvidia will (unsurprisingly) design the GPU infrastructure, Fujitsu will handle CPUs and system integration, and Riken will be involved in the software and algorithm work.

Feynman GPU

The result is expected to be an “AI-HPC platform” designed for science, industry, and AI-driven discovery.

The performance targets for the supercomputer are certainly ambitious. FugakuNEXT is designed to deliver more than 600EFLOPS of FP8 AI performance, which would make it the most powerful AI supercomputer yet announced.

The system is also expected to achieve up to a hundredfold increase in application performance compared with Fugaku, while staying within roughly the same 40MW power budget.

Nvidia’s long-term roadmap points to the Feynman GPU architecture (named after theoretical physicist Richard Feynman) arriving near 2028, so it could well play a role in powering FugakuNEXT.

Fujitsu is developing a successor to its MONAKA CPU for the project, tentatively named MONAKA-X, with more cores, extended SIMD capabilities, and Arm’s matrix computation engine for AI inference.

Coupled with Nvidia’s accelerators, the system is expected to run large simulations alongside demanding AI workloads.

Hardware alone won’t deliver the target gains so the project will also lean on innovations such as surrogate models, mixed-precision arithmetic, and physics-informed neural networks to accelerate performance while also preserving accuracy.

Makoto Gonokami, president of Riken, said, “It is a great honor for Riken to collaborate with Fujitsu and Nvidia in advancing the development of FugakuNEXT. Since ancient times, humankind has built civilizations and advanced societies through the science of computing. Today, the emergence of AI, advanced semiconductors, and quantum computers is bringing about a discontinuous transformation in computational science.”

Ian Buck, vice president at Nvidia, added, “FugakuNEXT will deliver zettascale performance with application speeds nearly 100 times faster – within the same energy footprint as its predecessor – accelerating research, boosting industrial competitiveness, and driving progress for people in Japan and around the world.”

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Apple has confirmed that its next event is taking place on September 9, and all signs point to a big update for the Apple Watch line.

We believe, based on several months of leaks and rumors, that Apple will debut not one, not two, but three new Apple Watches. Currently, just three Apple Watches available to buy from the company: the Apple Watch Series 10, Apple Watch Ultra 2 and the Apple Watch SE (2022), with older models consigned to third-party sellers.

Rumors of a new trio of watches suggest the entire line is getting an upgrade. Here are the three new devices we believe will be announced at the Cupertino 'Awe dropping' event, and you can bet we'll be hard at work updating our guides to the best Apple Watches and best smartwatches.

Whether you've been paying attention to the leaks and rumors, or you're just catching up now, here's everything you need to know about the Apple Watches we reckon are coming on September 9.

1. Apple Watch Ultra 3

(Image credit: Future)

The Apple Watch Ultra 2 got a small upgrade last year in a new titanium black colorway, and it remains the gold standard when it comes to heart rate accuracy and versatility, recently being tested against a chest strap monitor.

Upgrades that we’re expecting from the Apple Watch Ultra 3 include satellite connectivity, as in the upcoming Google Pixel Watch 4. This feature would allow users to communicate from the watch without a phone in case of emergency, even if they're not using a data plan to connect to the internet.

If you do happen to be using a data plan with your Apple Watch, we’re expecting 5G connectivity for a serious boost to its navigation, communication and music streaming capabilities.

We’re also hoping for a new, more powerful chipset, and possibly high-blood-pressure detection. The Apple Watch Ultra and Ultra 2 are virtually identical in terms of their design, and we’re not expecting any radical changes to the chassis and protruding Action button.

2. Apple Watch Series 11

(Image credit: Future)

The Apple Watch Series 11 is the next mainline iteration of the Apple Watch.

Last year, the Series 10 got a big wraparound screen redesign, a slimmer body and a new chipset, so we’re not expecting any big design changes here, especially as there will likely be two other watches getting most of the attention. Another new chip is likely.

We know that, alongside the rest of the range, it’s going to be getting all the new software smarts from watchOS 26, including the AI-powered Workout Buddy feature and redesigned Workout app. It’s possible we’ll get a much-anticipated blood-pressure detection feature, but from a hardware perspective, the Series 11 is likely to be similar to the 10.

3. Apple Watch SE 3

(Image credit: Future)

Every couple of years, the Apple Watch combines elements from some of its older models with a cheaper-to-make chassis to give us a new entry into the SE series.

We labelled the SE 2 the best cheap Apple Watch you can buy, and the SE 3 is likely to provide the same great experience in a more affordable package. It’s unlikely the SE 3 will get the Series 10’s wraparound screen, instead probably getting an older Series 9 style display to make use of cheaper, now-defunct older parts.

Expect modern, AI-powered watchOS 26 software inside a model designed to cost around $250 / £250 / AU$500.

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For the past week, I’ve been testing the new Oakley Meta smart glasses – and while I love running in them, my fiancée (and running partner) wishes I’d stop wearing them.

In case you’ve missed it, the ongoing collaboration between Meta, Essilor Luxotica has spawned seven new smart glasses – one limited-edition design and six regular – that incorporate useful technology into Oakley’s HSTN specs.

Just like you’ll find in Meta’s smart Ray-Bans, these Oakleys boast a 12MP camera for first-person shots, open ear speakers for music, and a Meta AI assistant that can answer your questions and perform helpful tasks (provided they’re connected to your phone and the internet).

That’s not saying they’re identical, however. Some hardware has been upgraded slightly – like the camera that records higher quality video and the battery life is said to be longer – but the design is the biggest change.

(Image credit: Oakley / Meta)

And this is why I love running in the HSTN smart glasses. The open ear speakers are handy for keeping me energized with music while I push myself, and I’ve found the HSTN frame is much better at hugging my face than the Wayfarers I have – meaning it doesn’t jostle or slip as much on my jogs.

They also boast Oakley’s 24K PRIZM lenses. These golden-tinted sunglasses aren’t just polarized to reduce harsh rays; they also offer improved contrast to your vision, which I’ve found in the 24K’s case makes it easier to spot terrain changes and grooves before I roll an ankle.

The Ruby PRIZM lenses are meant to be an even better running companion, though I will admit that a downside of these picks is that they’re only suitable for bright conditions. For general use, I stand by my belief that transition lenses are superior as they can morph between clear and shaded based on the sun’s intensity.

(Image credit: Oakley / Meta)

So why, with all these successes, does my partner despise them? Well, she doesn’t think they suit me. It’s not the design itself, but the color of the frames, which, for the pair I’m testing, are white. Given my very pale complexion, she jokes that it’s hard to tell where the glasses end and my head begins.

I’m not sure I agree. I think the Oakley HSTN look rad, but if you agree these smart glasses aren’t a good fashion fit for me, then I’m not annoyed – I think this is actually a good thing.

That’s because while they are a gadget, they’re also a clothing accessory. While you can find designs and colors that suit everyone, distinct and personal fashion choices require designs like these HSTNs that maybe don’t work for everyone, but really suit the people they do work for.

This is one of the big reasons I’m excited to see Android XR partnering with brands like Gentle Monster and other fashion-first brands – as I’m hopeful we’ll continue to see inventive designs get the ‘smart’ treatment.

(Image credit: Oakley / Meta)

Based on my experience, I can definitely recommend the Oakley smart glasses just as easily as I recommended the Meta Ray-Ban glasses before them.

My only advice would be to go and try them on first. Firstly, because the different PRIZM lenses will suit different sports from a practical perspective, but also to make sure you like how you look in them.

It’s not something we’re used to thinking about with tech, but wearables aren’t just redefining tech, they’re redefining fashion in equal measure – and you don’t want this accessory to wind up like those other fashion faux pas you regret buying.

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The generative AI tool creates higher quality images, doesn't always mangle text and can include well-known people.

• SK Hynix sets new milestone with 321-layer QLC NAND for PC SSDs
• Performance and efficiency improvements come before enterprise and AI server rollout
• Consumers unlikely to see cheap high-capacity SSDs until costs fall further

SK Hynix has confirmed it has started mass production of its new 321-layer QLC NAND flash memory, making it the first in the industry to cross the 300-layer threshold with QLC technology.

The company completed development of the chip earlier in 2025, and says it plans to launch commercial products in the first half of 2026, once customer validation is finished.

The chip features 2Tb capacity per die, double that of previous solutions.

Power efficiency improvements

To address the slower performance that often comes with higher-density QLC NAND, SK Hynix expanded the number of planes within the chip from four to six.

This change allows for greater parallel processing, which improves read and write speeds while keeping power use low.

The company says its data transfer speeds are twice as fast compared to its prior QLC offerings, with write speeds up to 56% faster and read performance improved by 18 percent.

Power efficiency during write operations is also up by more than 23%, something that will matter in large data environments where energy costs are closely monitored.

Although the long-term aim is to use the technology in enterprise SSDs for data centers and ultra-high-capacity storage aimed at AI servers, the company says PC SSDs will be the first products to ship with the 321-layer chips.

That means consumers may see benefits before enterprise customers, although the initial focus will not necessarily be on low-cost, high-capacity drives.

"With the start of mass production, we have significantly strengthened our high-capacity product portfolio and secured cost competitiveness," said Jeong Woopyo, Head of NAND Development.

"We will make a major leap forward as a full-stack AI memory provider, in line with the explosive growth in AI demand and high-performance requirements in the data center market."

SK Hynix also plans to use its stacking technology, which allows up to 32 dies in one package, in future ultra-capacity solutions. It expects this to be especially important in AI-driven storage markets where both density and efficiency are key selling points.

While the arrival of this NAND marks a big step toward larger, more affordable storage, it is unlikely that cheap 8TB consumer SSDs will arrive any time soon, due to high manufacturing costs, packaging complexity, and validation cycles.

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