Technology

• IGN asked Valve if the RAM crisis would impact the Steam Deck 2
• Valve engineer Pierre-Loup Griffais said "not really", but added: "It's just a matter of looking at the current conditions and seeing how and when we can deliver"
• This is effectively saying that the spec won't be compromised, but the release timeframe might slide

Valve is sticking with its plan for the Steam Deck 2 in terms of ensuring that the sequel will be a proper generational leap compared to the existing handheld.

IGN interviewed Valve engineer Pierre-Loup Griffais (along with Jeff Leinbaugh) and brought up the subject of whether the RAM crisis – which appears to be intensifying in an unpleasant manner as this year rolls on – would affect the Steam Deck 2.

When asked if the memory supply shortage had changed Valve's plans for the sequel of the Steam Deck, Griffais said "not really", adding "We've talked before about how we want to make sure there's a very delineated performance improvement for something like a future Steam Deck, and I think we're still looking at it in the same way."

Griffais continued: "It's just a matter of looking at the current conditions and seeing how and when we can deliver something like that. But from what we're working on, as far as the user experience goes and what the product that we're trying to build goes, it's very similar goals."

In other words, Valve still wants to make the Steam Deck 2 a major leap in handheld performance, and the only thing that pricier components (not just system RAM, but other elements of the device) will mean is that the "when" of the delivery timing might be altered.

So, I read this as essentially hinting that the release timeframe could be pushed back, but ultimately the spec of any Steam Deck sequel is not going to be messed with due to any component price rises.

Analysis: value is more important than timing

(Image credit: Valve)

I think this is a sensible stance. Having clearly laid out its stall from the get-go, shortly after the launch of the Steam Deck, in terms of making the sequel a considerably more powerful handheld, Valve can't go back on that really.

Well, it could, but it wouldn't be a good look, and I think this is basically what Griffais is getting at with that key "how and when we can deliver" comment. The Steam Machine being released at a less-than-ideal price hasn't done Valve's reputation any favors, and a lot of gamers have been seriously disappointed with the end result in terms of value there. I don't think that Valve can take the risk of a repeat performance with the Steam Deck 2, as that'd further erode the goodwill of gamers.

Personally, I'd prefer Valve to wait until after the RAM crisis has (mostly) blown over before introducing the Steam Deck sequel – even if that means a long delay, and the memory shortage continues for the rest of this decade (as some are predicting). I'd rather have a performant handheld with a palatable price tag – and wait however long that may take – than something that's expensive arriving sooner.

It sounds like Valve is very much thinking along those same lines, perhaps not surprisingly given that RAM-driven price hikes have reportedly had quite a negative impact on Steam Deck sales in recent times.

• PUBG: Dednet was revealed at Gamescom 2026
• The upcoming shooter has roguelike elements and crazy abilities
• Creative director Dave Curd says the game is meant to bring the franchise "to an audience that hasn't historically connected with it."

Upcoming PUBG: Battlegrounds spinoff Dednet is intended to bring the franchise to a whole new audience. Revealed at Gamescom 2026, Dednet is a multiplayer shooter with a smattering of roguelike elements.

Speaking to TechRadar Gaming at the show, creative director Dave Curd explained how Dednet fits into the wider battle royale franchise.

"We're already getting into what PUBG is as an IP and what makes PUBG, PUBG," he said. "For me, it's not necessarily a closing circle or a level three helmet. PUBG is desperate survival. It's a dark sense of humour. It's survival of the fittest.

"Dednet is kind of my attempt at spreading the gospel of PUBG to an audience that hasn't historically connected with it."

Curd also said that the game is being "developed console first" with matches that unfold at a much faster pace. "We're faster, leaner, and meaner, taking more fights and coming back."

Persistence is an important part of the formula too, with each match progressing you in a way that carries forward into the next.

He continued: "Between every match, you're gaining crazy abilities like sliding like a snake or having blade hands, and you're also gaining funny injuries like fumbling your weapon or sneezing in smoke. All on your way to chase a perfect build."

He described the team's overall mission as "to create an unhinged, f***** up adult sandbox" that allows "players [to] tell interesting stories."

In the same interview, the creative director also touched on how the '90s-inspired multiplayer shooter stands out with its zany abilities and unique style.

Although there's no official release date yet, players can pre-register for the closed beta now for an early taste of the action.

Amazon has announced that its Prime Big Deal Days sale will return for another year, effectively kicking off the Black Friday sales season on October 6 - 7.

• Browse all early deals at Amazon

The event is similar to its regular Prime Day sale in the middle of the year, with 48 hours of deals exclusively available for Prime members. Whether it's your first time hearing about it or you're a regular, I've brought together everything you need to know.

Amazon Prime Big Deal Days 2026 — key info

(Image credit: Amazon)

When is it? October 6 - 7
What is it? A 48-hour sale exclusively for Prime members
Who's involved? Expect deals on Kindles, Blink, Ring, Fire TV, Shark, Ninja, Lego, Braun, and many more.

As we've come to see over the last few years, Amazon has hosted the Prime Big Deal Days sale mainly as a teaser of what to expect from the retailer's full Black Friday sale in November. While it's not made up of all the exact same deals, many products do pop up again in the later sale, which can help you plan any spending you want to do.

In its announcement, Amazon has confirmed several featured brands, including Lego, Shark, Braun, Anker, and many more, with new deals promised across tech, home, fashion, toys, and essentials each day. It's almost guaranteed that many of its own-brand tech will feature in the sale, too, such as Blink, Ring, Fire TV, and Kindle.

Even with recent price hikes, I'm hopeful that we'll at least see a few products down to record-low prices in the sale — or at least the cheapest we've seen them so far this year. That'll be more likely with Amazon products, though, so I wouldn't expect any out-of-this-world bargains on RAM or storage, for example. Sorry to dash any hopes.

Still, there should be some strong deals available in some categories — and we'll be here to bring you all of the very best ones we recommend right here at TechRadar. And if you want to be prepped for the sale, new subscribers can sign up for a 30-day free trial of Amazon Prime.

Reports that cameras intended for Royal Navy drones contained Chinese-made components sending “heartbeat” signals to China sound like the opening of a spy thriller. The reality is more mundane, but arguably more useful as a warning.

There is currently no evidence that Ministry of Defence data, imagery or classified systems were accessed or exfiltrated. Routine cyber testing reportedly identified third-party camera components sending automated heartbeat communications to an IP address in China, after which internet connectivity to the affected camera subsystems was removed and the vulnerabilities closed.

So, based on what we know today, this is not a story about confirmed data theft. It is a story about something potentially much more widespread. How little organizations can know about what is happening several layers down in their technology supply chains.

When insignificant data becomes intelligence

A heartbeat signal sounds fairly innocuous. A device is effectively saying: “I’m alive.”

The danger is assuming that because the data looks insignificant, it has no intelligence value.

Basic telemetry can potentially disclose device presence, uptime and temporal patterns. You could see when something comes online, how long it remains active and whether there are patterns in when it is being used.

None of that necessarily tells you much in isolation. Intelligence, however, rarely comes from one perfect piece of information. It comes from joining lots of apparently insignificant pieces together.

Combine those signals with OSINT, SIGINT, routing metadata or knowledge of exercises and deployments and they could potentially contribute to a much richer picture.

That does not mean this incident exposed Royal Navy locations, personnel or operational movements. There is no public evidence to support that conclusion.

But it shows the question is more than “Did sensitive information leave the system?” We also need to ask “What could somebody infer from the information that did?”

With cameras and other connected sensors, there is another consideration. If you discover an unexpected external communications path, you need to understand what it can do. What has already travelled across it is only part of the picture. You also need to know what the component could potentially transmit.

‘Buy British’ misses the point

The instinctive response to supply-chain concerns is often greater sovereignty. But telling defense companies to simply “buy British” misunderstands how modern technology is built. Pull apart a supposedly trusted product and the processors, cameras, communications modules, microcontrollers and firmware inside it may originate from suppliers scattered around the world.

Modern defense capability has effectively become a giant systems-integration exercise conducted across global technology supply chains.

Defense organizations may have a strong understanding of their Tier One suppliers. However, visibility can deteriorate considerably at Tier Two, Tier Three and beyond, precisely where specialist manufacturers, smaller technology providers and software dependencies enter the system.

You can perform assurance to the nth degree. The problem is doing it across every component in every system without making innovation painfully slow and expensive.

That is particularly difficult for startups. Switching from a commercial component to a sovereign or trusted alternative can mean higher costs and longer lead times, but also hardware redesign, software changes, testing and recertification.

Ukraine has changed the economics

This tension is becoming more important because modern conflict is simultaneously pushing defense towards technologies that benefit from rapid commercial development.

Ukraine has demonstrated the military value of relatively inexpensive unmanned systems that can be produced, modified and replaced quickly. They do not eliminate the need for sophisticated missiles or high-end platforms, but they are changing the economics of warfare.

Future militaries will need exquisite capability, but they will also need technology that can be manufactured at scale and adapted rapidly as battlefield conditions change.

Commercial off-the-shelf components help make that possible.

That creates a fundamental tension at the heart of strategic autonomy. The global technology ecosystem that allows defense companies to innovate quickly and relatively cheaply can create exactly the dependencies governments are attempting to reduce.

Scrutinize what can see, think and communicate

Risk should be determined by what a component can actually do, not simply which country appears on the label.

The questions I would ask are: what can it see? What can it do? Can it communicate independently? Can its behavior be changed?

A connected, programmable camera warrants considerably greater scrutiny than a passive component. Cameras, radios, sensors and communications modules deserve particular attention because they can collect or process information, run firmware and potentially create communications paths of their own.

Programmable sub-components are another area of concern because their behavior can potentially be altered through software or firmware.

As defense moves further into AI, the same principle will increasingly need to extend beyond physical hardware. Assurance will need to consider where models came from, what data they depend on, who can update them and how their integrity is maintained.

Design for things you cannot see

Supply-chain assurance should not be the only defense. Architecture matters too. If a component does not need internet access, why give it internet access?

If a camera only needs to communicate with another system locally, restrict it to that. Network segmentation, telemetry suppression, tightly controlled communications paths and air-gapping where appropriate can all reduce the consequences of unexpected behavior.

There is also a strong argument for a shared repository of vetted components from trusted manufacturers and vendors. This could include a Bill of Materials (BOM): a formal, nested inventory of software and hardware components. The Cybersecurity and Infrastructure Security Agency (CISA) promotes BOMs to improve supply-chain security, increase transparency and accelerate vulnerability management.

But such a repository cannot become a static approved shopping list. Firmware changes. Manufacturers substitute components. Vulnerabilities emerge. Supply chains move. Trust must therefore be continuously maintained rather than awarded once. This ongoing assurance is ultimately what identified the Royal Navy issue.

Perfect knowledge and assurance of every component is neither realistic nor economically viable if it makes defense innovation impossibly slow.

What we need instead is explicit, risk-based assurance of trusted manufacturers and vendors. Understand which components and software present the greatest threat, scrutinize them accordingly, and use architectural controls and ongoing assurance to reduce exposure elsewhere.

Strategic autonomy goes far beyond where a platform was assembled or which flag sits above the company that built it. What this incident highlights is the risk when an unvetted external communications path exists inside technology intended for a military platform. Sometimes good cybersecurity comes down to asking the simplest question: why is this thing talking to the internet at all?

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• Instax Pal 2 unveiled with new design that sings Kodak Charmera
• It's more camera, mind you, and costs from $170 / £144.99 / AU$249
• There are two colorways at launch; black (with silver trim) or white

Instax has clearly taken note of the Kodak Charmera digital keychain camera's viral popularity and wants a piece of the action. Enter: the new Instax Pal 2. Its new look is a major departure from the original golf ball-like Instax Pal — so much so that this camera could have had an entirely new name — and is instead all retro vibes.

There's plenty going on in the tiny 1.5oz/ 41g body, mind you; twin displays (a top down 1-inch LCD screen, and a simple cutout optical viewfinder), a wind lever that adds an Instax frame around your photos, a film simulation dial with five picture styles (each with six unique effects), plus a slide out USB-C port for charging / connecting directing to a smartphone to upload your snaps.

Instax says there's enough built-in memory to store 100 photos — which are 10.7MP and captured through a tiny 1/3.06-inch sensor — plus a micro SD card slot. The digital-only camera is also equipped with Bluetooth for wireless smartphone connection and printing, with direct support for Instax Link printers (a new Wide Link 2 printer was announced at the same time as the camera).

The Pal 2 has a built in USB-C that extends out of the camera, and can be used for a direct connection to a smartphone for image uploads (Image credit: Fujifilm Instax)Should toys be this expensive?

The Instax Pal 2 carries on from where the Fujifilm X half and Instax Mini Evo Cinema left off: it's majorly quirky and packed with charm. However, it feels like too much camera, with too high a price tag, to hit the sort of sales heights of the Charmera, or even the screen-less Camp Snap cameras.

The Instax Pal 2 is easy on the eye, but sadly less so on the wallet — it comes in at $170 / £149.99 / AU$249 (while the Charmera is a mere $35 / £35 / AU$55). You can choose from two colorways: black with silver trim (pictured), or white.

I'm yet to play with the Instax Pal 2, but I'm sure it'll put a smile on my face when I do. Even without testing it out, however, I get the feeling that it misses the point of these tiny toy cameras. So far, something a little less, that costs a whole lot less, has been the recipe for success.

The debate around technology sovereignty is becoming increasingly important. As governments accelerate their adoption of AI tools and modern digital infrastructure, attention is increasingly focused on where systems are hosted, where data is stored and where technology providers are based.

These are important considerations, but sovereignty ultimately comes down to a broader question: how much control does an organization retain over the technology it depends on?

For governments, that means having visibility into how systems operate, understanding how decisions are reached, maintaining oversight of data and retaining the flexibility to adapt as circumstances change.

Technology sovereignty should therefore be measured through operational control, accountability and resilience. Geography forms part of that picture, but the ability to govern technology throughout its lifecycle is what creates lasting sovereignty.

Sovereignty is tested when circumstances change

The clearest measure of sovereignty is the level of control an organization retains when circumstances change.

Geopolitical developments, regulatory requirements, supplier changes, cyber incidents and technology failures can all place pressure on critical infrastructure. Strong technology foundations give governments the ability to respond, maintain essential services and continue making decisions with confidence.

This principle of control under distress should sit at the heart of the sovereignty debate.

Governments benefit from access to global expertise, innovation and specialist technology providers. Modern public services depend on collaboration across technology ecosystems, and this access creates significant opportunities to improve efficiency and deliver better outcomes for citizens.

The priority should be creating technology environments that preserve government control while taking advantage of this innovation. Governments need the ability to adapt systems, manage their data and make informed technology decisions as requirements evolve.

Data is the foundation of sovereign technology

The conversation around AI sovereignty often starts with the technology itself. The more fundamental consideration is the quality and governance of the data that supports it.

Public sector data often sits across departments, legacy platforms and different technology environments. Bringing these sources together can provide governments with a more complete and trusted view of the information they rely on.

This is particularly important as public bodies explore AI for areas such as fraud detection, healthcare, taxation and public benefits. These applications depend on accurate, accessible and well-governed information.

Strong data foundations also support transparency. When organizations understand where information comes from, how it is connected and how it is used, they gain greater confidence in the decisions produced by the technology built on top of it.

The effectiveness of public sector AI will therefore depend heavily on the integrity, accessibility and governance of the data beneath it.

Choice creates resilience

Technology sovereignty also depends on maintaining meaningful choice.

Governments need the freedom to adopt new technologies, work with different providers and evolve their systems as requirements change. Interoperability, open standards and portable data can support this flexibility by allowing different technologies to operate together and making future transitions more manageable.

This creates a more resilient technology environment. Individual components can evolve as better solutions become available, while the wider system continues to operate effectively.

Supplier diversity also plays an important role. A competitive technology market gives public bodies greater choice, encourages innovation and creates stronger incentives for providers to deliver value.

For critical public services, competition therefore forms part of the resilience strategy. A diverse supplier ecosystem gives governments greater flexibility and strengthens their ability to respond to changing circumstances.

AI requires transparency by design

The growth of AI makes transparency increasingly important. As these systems become more capable of supporting complex decisions, governments need clear visibility into how they operate and how their outputs are produced.

This starts with understanding the data, logic and processes that contribute to an AI- supported decision. Effective governance then provides the oversight required to monitor performance, identify issues and assess outcomes over time.

This is especially important where technology influences people's access to healthcare, taxation, benefits or other essential public services.

Explainability, auditability and human oversight provide the foundations for responsible AI adoption. They give public bodies the confidence to use increasingly sophisticated technology while maintaining accountability for the decisions it supports.

Transparency also strengthens public trust. Citizens are more likely to have confidence in technology when institutions can clearly explain how it is being used and how decisions can be reviewed.

Accountability remains with government

Governments can work with private organizations to provide infrastructure, software and specialist expertise. Public accountability remains with the government.

This makes governance an essential part of technology strategy. Procurement decisions need to consider functionality and cost alongside questions of data control, transparency, interoperability and long-term flexibility.

A technology solution should support the government's ability to understand its systems, oversee their performance and make changes as circumstances evolve.

This approach also creates a stronger relationship between government and technology providers. Clear expectations around governance and accountability give suppliers the opportunity to innovate while providing public bodies with the confidence that they remain in control of the outcomes.

Measuring sovereignty through control

Technology sovereignty should ultimately be measured by the capabilities a government retains.

Can it understand the technology it relies on? Can it assess and challenge the decisions it supports? Can it access and manage its data? Can it adapt its systems as requirements change? Can it maintain essential services during periods of disruption?

These questions provide a practical framework for assessing sovereignty.

The objective is to create technology environments that combine innovation with control. Governments can benefit from global technology, specialist expertise and rapidly developing AI capabilities while retaining the governance, flexibility and resilience required to serve citizens effectively.

The strongest sovereign technology environments will give governments confidence in the systems they operate, visibility into the decisions those systems support and the flexibility to evolve as circumstances change.

Ultimately, technology sovereignty is about maintaining operational authority. It is about giving governments the capability to understand, govern and adapt the technology that supports essential public services.

Sovereignty is measured by the control an organization retains over its technology, its data and its decisions.

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• Unsupported database management software is increasingly risky from a security point of view
• The biggest barriers preventing organizations from upgrading include cost and complexity
• Businesses aren't happy with current inefficiencies, downtime and latency

An overwhelming majority (97%) of US database administrators are running obsolete software, according to the latest State of Open Source Database Management Report by Percona.

But organizations aren't neglecting upgrades, because the report warns that upgrading a production database can actually be a major and risky project that may even impose more operational risks than running unsupported software.

For many, the cost alone is a major obstacle, with substantial engineering time, testing, infrastructure changes and cloud changes all adding to the total cost of change.

Why are so many US organizations using outdated database software?

Percona highlighted that upgrading a database isn't as simple as installing a software update, because in most cases, it would require an entire cross-stack migration involving other pieces of software and subscriptions.

Nearly one in three (31%) said cloud costs are their biggest barrier to reducing the total cost of ownership of their database estates, but licensing costs (23%), tool sprawl (17%) and vendor lock-in (12%) were also major worries.

The report cites MySQL as a key example, highlighting how the major architectural changes involved with 8.0 made it a technical nightmare for 5.7 users to upgrade.

However, while the change itself can be a costly, and frankly massive, one, remaining on unsupported database management software creates its own security risks. This is especially pronounced because databases can often contain an organization's most valuable and confidential information.

There is a motive to upgrade, though, because 42% of Percona's respondents cited inefficiency as a current drawback, with downtime (40%) and latency (35%) also slowing them down.

Looking ahead, the first stage is for companies to actually plan their migrations rather than continue to postpone them. It's only by starting the ball rolling that they can begin to explore how to consolidate stacks and improve overall efficiency and costs.

• StarCraft will have the same "gritty" vibes as the original real-time strategy (RTS) game
• General manager and creative director Dan Hay says the game was also influenced by the "interstellar western" of the original
• Associate manager of development operations Annalee Hartling says watching the trailer was "emotional"

StarCraft will adopt the same "gritty" atmosphere of the original real-time strategy (RTS) game, according to Blizzard Entertainment.

If you missed it, a new StarCraft game was announced at BlizzCon 2026, but unlike its predecessors, the title will take a new turn for the franchise and is a story-driven open-world shooter.

Speaking to TechRadar Gaming at BlizzCon, StarCraft general manager and creative director Dan Hay discussed the action-packed CGI trailer that debuted at the event and revealed the team's inspirations for the sequel.

"What I loved about StarCraft, the original, was that it was gritty, that it felt like it was on a frontier," Hay said. "It felt like a western. It felt like an interstellar western. That's what it felt like to me."

He continued by reminiscing about his time playing the original RTS game, explaining that he wanted to adapt the experiences he had in the new StarCraft, including the music, characters, and lore.

"From the music, to the characters that I met, to the people that I ran into, to the moments that I had, to the entire lore of it, it felt like a gritty, sometimes dirty, [and] not ] perfect world, and it made the asymmetry of the different factions feel even better because it felt very real. Because our real world has asymmetry to it.

"And so I think leveraging that and putting that into this world was key for us."

Associate manager of development operations Annalee Hartling also shared her reaction to the trailer, saying that the moment you see the barracks flying in and touching down, not from a top-down perspective, but a more intimate angle, was "the most impactful portion of it" for her.

"Living that moment was like my childhood, you know?" Hartling said. "My early days of gaming had come alive. I'm like, 'This is what I've been waiting for.' I wanted to see that and have that emotion of, like, this barracks hitting the ground and then opening up, and I'm able to walk out and look. Oh my goodness, that is incredibly powerful for a player.

"I think, at least from my point of view, it's emotional, it's fascinating, and it's beautiful. So having that perspective of being boots on the ground down there, seeing it all happen, and then whatever else happens to be outside those doors when you come through the barracks."

StarCraft is slated to launch in 2030.

Enterprises should be able to change models without rebuilding workflows, surrendering institutional knowledge, or losing control of the intelligence that differentiates them. AI strategy discussions often begin with the same question: Which model is winning? The answer changes with every new model release, as new capabilities emerge and the new competitive order shifts again.

From our work deploying AI tools across some of America’s largest healthcare enterprises, I believe this feature-spotting whiplash is distracting organizations from a much more useful question: If the model you rely on changes or becomes unavailable tomorrow, can your AI operation continue without disruption?

Every enterprise needs an exit strategy from any single AI model. This does not mean moving away from frontier models, which will remain an important part of the enterprise AI stack. The point is to ensure that an organization’s workflows, intellectual property, and institutional intelligence never become dependent on one model or provider.

Models are becoming infrastructure

The leading foundation models are extraordinarily capable, but their capabilities are also converging. A feature that distinguishes one provider today is often available from several others within a matter of weeks, sometimes even days.

We saw a similar evolution with cloud computing, where access to compute became essential but rarely created lasting competitive advantage on its own. The advantage came from what organizations built on top of it: their applications, data, operating processes and proprietary knowledge.

AI is heading in the same direction. A model should remain one component of the enterprise AI architecture. It should not become the repository for the organization’s business logic, operational knowledge or proprietary processes.

This is particularly important in healthcare, where a model may be able to summarize a clinical record or interpret a policy document, but it does not inherently understand how a particular health plan applies that policy, when a case should be escalated, which evidence a clinician needs to review, or how a decision must be documented for an audit. That intelligence belongs to the organization.

The 70/30 reality for enterprise AI

General-purpose models can often handle roughly the first 70% of a task. They can extract information, classify documents, produce summaries, answer questions, and perform broad reasoning.

The remaining 30% often determines whether an AI system is simply impressive in a demonstration or trustworthy in production. That final mile requires domain terminology, enterprise policies, specialized logic, consistent outputs, traceable evidence, evaluation against known standards, and clear escalation to human experts.

A model may correctly identify the broad clinical issue and still apply the wrong policy. It may generate a convincing explanation without giving a reviewer the evidence needed to validate it. It may also behave differently after a provider update. Those gaps sit within the final 30%, and in a regulated environment, they determine whether the system can be trusted in production.

In healthcare, this means combining specialized models built for clinical and administrative tasks with frontier models where their broader capabilities add value. The enterprise’s own knowledge, policies, evaluation systems, and governance controls should sit around those models, so the underlying model can change without taking the organization’s intelligence with it.

What model dependence looks like in production

The risks of depending too heavily on one model become much more apparent when AI moves from experimentation into production. A provider may release a new version that structures information differently, responds to instructions in new ways, or expresses uncertainty less consistently. A workflow that performed reliably during testing can then begin producing subtly different outcomes.

The change may also be commercial or operational rather than technical. Pricing can increase, latency can worsen, usage limits can affect availability, or a provider may discontinue a model on a timeline that does not align with the organization’s validation and release processes. And even if a model remains available, it may no longer be the best option for a particular workflow.

With that separation in place, an organization can evaluate different models against the same performance standards and introduce a change through a controlled process. It can adopt better capabilities as they emerge, use different models for different tasks, and change providers without rebuilding the workflows and operational knowledge around them.

An AI exit strategy Is an ownership strategy

In practical terms, an AI exit strategy means keeping several critical assets owned, governed, and portable:

• Proprietary data and enterprise knowledge
• Prompts, policies and decision logic
• Workflow definitions and orchestration
• Evaluation datasets and performance benchmarks
• Human feedback and decision history
• Audit trails and governance controls

Together, these assets form the enterprise’s intelligence layer, which captures how the organization works and makes decisions. A widely available model offers little differentiation on its own. The advantage lies in the proprietary knowledge, policies, and operational experience that shape how the model is used.

When that context is embedded in model-specific tools, proprietary features, or hosted memory systems, the organization risks losing control of the intelligence it is creating. Changing models may then require far more than replacing an API. It could mean reconstructing years of business logic, workflow design, expert feedback, and operational learning.

Defining the boundary between models and enterprises

Maintaining the separation between models and enterprises can also protect human expertise. Every interaction between an expert and an AI system creates something valuable. A clinician may correct a recommendation, a nurse may clarify how a policy should be applied, an operations leader may change an escalation path, or a compliance team may establish a new review requirement.

Over time, those interactions become institutional intelligence. It’s critical that they strengthen the enterprise rather than disappear into a provider’s platform, or become inaccessible when the organization changes models.

Warning signs of excessive model dependence

One warning sign happens when prompts and business logic are written so specifically for a particular model that they cannot be transferred easily. Another is when changing models requires redesigning the application rather than running a controlled evaluation and configuration change.

Leaders should be able to answer a basic question: What would we lose if this model became unavailable tomorrow?

Addressing these risks does not require an expensive rebuild. Enterprises can begin by separating business logic from model calls, creating standardized interfaces, maintaining model-independent evaluation datasets, documenting workflow dependencies, and storing organizational knowledge in systems they control.

They should also test model interchangeability before they need it. Running the same workflow across multiple models helps reveal hidden dependencies and gives the organization meaningful data about performance, cost, latency, and risk.

Model choice should remain reversible

We started this discussion with a question, but I believe the more important question is not only which model an enterprise should use today. Leaders must also ask how difficult it would be to replace that model tomorrow.

That is the purpose of an exit strategy. It is not preparation for abandoning AI or moving away from frontier innovation, but rather, the foundation for choice, resilience, and lasting ownership of enterprise intelligence.

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• iFi launches Go cable with DAC/headphone amp in a USB-C earbuds cable
• IEMs sold separately — it uses standard 0.78mm two-pin analogue connectors — but you can add some iFi ones into the kit for cheap
• ESS Sabre DAC supports 32-bit/384kHz and DSD256, with 70mW amplification at 32 ohms

If you didn't think ultra-portable hi-fi tech like the iFi Go Link 2 was small enough, then the British audio company's newest release in its lightweight Go series might be enough to placate you.

iFi has just unveiled its new Go Cable: a DAC and headphone jack which is literally built into an audio cable for in-ear monitors. It's available to pre-order for just $79 / £79 (about AU$160), ahead of a September 21 release.

The wire connects from a USB-C port in one end, through the DAC and headphone amp, to two 0.78mm 2-pin connectors for your favorite in-ear IEMs, though you'll have to provide those yourself. Basically, in combination, they're an active affordable audiophile alternative to the best wired earbuds with more customization.

Naturally, you might think that the iFi Go Cable could be designed for smartphones or laptops, but the brand also describes them as suitable for gaming, such as on the Switch 2. It supports microphone functionality too, so you can plug it into your controller or handheld to enjoy voice calls.

Making portable audio a little easier

(Image credit: iFi)

Specs-wise, the Go Cable seems quite similar to the aforementioned Go Link 2. It supports 32-bit/384kHz PCM and DSD256, and outputs power at 70mW at 32 ohms. Its selling point isn't in the specs; nor is it in the on-cable microphone, playback and volume controls, though they're a neat touch.

No. The benefit is that unlike the Go Link 2, it's an all-in-one solution. The best headphone DAC/amp combos for portable devices generally require an entire set of headphones or earbuds to be separately plugged in. You have to bring your source device, your DAC/amp device and your headphones.

By acting as those latter two gadgets all in one, the Go Cable makes on-the-go hi-fi audio a little easier to achieve. That's fewer things to remember on a trip, fewer items to pack into your bag while going through airport security.

Many of iFi's technologies are used in the Go Cable. THD Compensation reduces distortion, while the ESS Sabre DAC chip provides dynamic range enhancement to improve sound by up to 6dB.

As mentioned before, you'll need to provide your own IEMs to enjoy the Go Cable, so it's not for everyone. However the brand is also selling a starter kit, which throws in a pair of AIRO Astra buds, for only $20 / £20 (about AU$40) more.

That means you're getting them for about half the price they usually cost, and then you've got plenty of time to mull on whether to get something more premium in the future — and you can just swap them onto the same cable.

The high-end processor is the company’s first to use TSMC’s 2-nanometer process.

• Tomb Raider: Legacy of Atlantis experience director Jeff Adams confirms "no old code exists" for the original 1996 game
• This meant Crystal Dynamics had to build the game from the ground up on Unreal Engine 5
• Adams says the engine also allowed the studio to create its own custom tech for the "reimagining" of the classic title

Crystal Dynamics has explained why it chose to build Tomb Raider: Legacy of Atlantis from the ground up, instead of doing anything close to a remake of the 1996 game, revealing that no source code exists.

In a Q&A at Gamescom following an exclusive presentation that TechRadar Gaming attended, experience director Jeff Adams discussed what he's previously called a "reimagining" of the original Tomb Raider game and what it meant for the development team, who built the game from the ground up using Unreal Engine 5.

"We are in Unreal Engine 5," Adams said, "no old code exists. We are basically taking it and remaking it, or not remaking, reimagining it. We are bringing it from the ground up."

When asked to talk about how effective Unreal Engine 5 has been for the team, Adams explained that it enabled them to "have our own custom implementation for physics in the engine," which means engineering their own features, custom physics, and general upgrades; this made Legacy of Atlantis a true, modern reimagining.

"Unreal creates a really great sandbox platform for building a game, but when we're making a specific type of experience, we're going to have things that we really want to target and get to a right fidelity level where we're happy with it," the developer continued.

"So while things like Nanite and Lumen [UE5's technologies that offer realistic graphics capability] allow us to make a beautiful game environment, there might be some things that we're saying, 'Hey, we wish it could do this a little bit better.' That's when we'll break out and say, our engineers will create something custom that helps solve that issue, so that we can make sure that we're delivering an authentic Tomb Raider experience on Unreal."

He added that Lara Croft's long braid, which reacts to her movement, is "a perfect example of that."

Tomb Raider: Legacy of Atlantis launches on February 27, 2027, for PlayStation 5, Xbox Series X and Series S, Nintendo Switch 2, and PC.

• SIXUNITED builds laptop packing 192GB of LPDDR5X-8533 memory total
• It has some gaming specs but also screams AI workstation
• Two M.2 2280 SSD bays run on PCIe Gen4 for storage upgrades

Chinese manufacturer SIXUNITED has released what it calls the world's first laptop built around AMD's Ryzen AI Max+ Pro 495 "Gorgon Halo" processor.

The device, designated AXN88B-160M-YD, pairs the processor with an unusually large 192GB of LPDDR5X-8533 memory.

This memory capacity is rarely seen on a laptop, and it’s rated at 8,533 MT/s, raising questions about who actually needs such capacity in a portable computer.

Built for heavy workloads

The device comes with a 16-inch display that supports 2560 x 1600 resolution with a 120Hz refresh rate and wide color gamut coverage, which can also rotate up to 145 degrees, and the chassis houses two M.2 2280 SSD bays running PCIe Gen4.

Connectivity includes Wi-Fi 7, Bluetooth 5.4, two USB-C ports rated at 40Gbps, an HDMI 2.1 output, and a 2.5GbE RJ-45 port, alongside a USB-A 5Gbps connector, a faster USB-A port rated at 10Gbps, and a UHS-II SD card slot.

The laptop's two M.2 slots use the PCIe Gen4 interface, allowing fast storage upgrades for users handling large AI datasets.

The chassis is built from metal and includes a full-key RGB backlit keyboard alongside a fingerprint sensor for quick logins.

The laptop weighs about 2.1kg, measures 18.35mm thick, and carries a dual battery setup rated at 99.9Whr and 85Whr combined.

A gaming machine? Not exactly

The 192GB memory on this device points toward large language model workloads and professional software rather than the typical demands of everyday gaming.

AMD's Ryzen AI Max+ chips pair a CPU with an integrated GPU and a large unified memory pool for on-device AI tasks.

Traditional gaming laptops rely on dedicated graphics cards with their own video memory, not on shared system RAM.

Furthermore, the power delivery of this laptop reaches 120W, a figure closer to workstation-class laptops than typical thin-and-light gaming laptops.

Its audio comes from a pair of small 2W speakers which seem better suited to video calls than immersive gaming sessions.

The HDMI port supports version 2.1 with fixed-rate link, useful for connecting external high-refresh monitors during extended work sessions.

A single 3.5mm jack handles both headphone output and microphone input, a fairly standard inclusion for this category.

The built-in camera is a modest 2MP sensor paired with an infrared module that also enables secure face-based login.

None of these choices are unusual on their own, but together they suggest a workstation aimed squarely at professionals rather than casual gamers.

SIXUNITED has not detailed exact pricing or a wider international release, but it is expected to retail for about $10,000, more expensive than comparable desktop workstations and gaming laptops with high-end discrete graphics chips.

Marketing this configuration as a gaming laptop looks questionable when its strongest selling point is clearly local AI memory capacity.

Considering its major selling points, this laptop will more likely be attractive to developers or researchers than gamers chasing higher frame rates.

Via ITHome (originally in Chinese)

• Kioxia is pushing flash memory into DRAM territory
• AI workloads are forcing data centers to rethink memory expansion methods
• Kioxia XL1 could add capacity without requiring equivalent increases in DRAM

Kioxia is developing flash memory products designed to help data centers reduce their dependence on costly DRAM as AI workloads demand increasing amounts of memory.

The Japanese memory maker plans to combine faster NAND technology with new interfaces built for demanding AI systems that require large volumes of accessible data.

Its approach includes PCIe 6.0 SSDs and CXL memory expansion technology, though the company has not claimed these products will fully replace DRAM.

Kioxia's SSD lineup targets high-performance AI infrastructure

Kioxia is now showcasing its GP1 Series PCIe 6.0 NVMe SSDs, engineered for extremely high input and output operations within AI infrastructure environments.

These drives support direct communication between GPUs and storage, potentially reducing data movement through conventional system pathways during intensive computational workloads.

PCIe 6.0 could draw particular attention because it offers substantially greater interface bandwidth than earlier generations used in many data center SSDs.

The company is also exhibiting its CM10 Series enterprise SSDs and NX1 Series data center drives, which feature liquid cooling support.

The CM10 Series relies on Kioxia's tenth-generation BiCS FLASH technology, while the NX1 Series uses an E1.S design with PCIe 5.0 connectivity.

These products specifically target data center environments where strong performance gains and improved thermal management increasingly shape storage architecture decisions today.

Kioxia believes shifting certain workloads onto flash storage could ease the capacity shortages and rising costs currently straining global memory supply chains.

The XL1 series aims to bridge DRAM and storage

According to Nikkei Asia, Kioxia has plans to use fast NAND as a direct alternative to conventional DRAM.

Kioxia's most notable development is the XL1 Series, a CXL-compatible memory expansion module built on its XL FLASH technology for lower latency.

The module intends to use a CXL interface with memory-access speed carried across a PCIe link.

CXL allows memory devices to connect more closely with processors, creating additional capacity without requiring every byte to remain in DRAM.

Kioxia says that combining high-speed NAND with a CXL controller module reduces data-read latency to less than one-tenth that of conventional NAND products.

The company positions XL1 to occupy the performance and cost space between conventional DRAM and ordinary SSD storage devices.

Kioxia states that replacing part of a system's DRAM with CXL modules can double memory capacity while improving performance by 30%.

That distinction matters because NAND flash remains inherently slower than DRAM, meaning wholesale replacement would create performance penalties for latency-sensitive applications.

Evaluation units are scheduled for delivery to technology partners during August 2026, giving potential customers a chance to assess the technology.

Kioxia plans to discuss these technologies at FMS 2026 in Santa Clara, California, through presentations, technical sessions and live demonstrations.

Its overall strategy focuses on supplementing existing DRAM rather than eliminating it from AI server memory configurations.

As if Stuart Fails to Save the Universe couldn't be more unhinged, this week the gang is trapped in a legitimate comic book... as illustrated versions of themselves.

It feels like a chaotic move, but actually, we probably should have been expecting it. As HBO itself puts it, "Finally a world that Stuart can (hopefully) thrive in."

But will he? My vote is no. Still, when does Stuart Fails to Save the Universe episode 9 arrive on HBO Max?

What time can I watch Stuart Fails to Save the Universe episode 9 on HBO Max?

For US viewers, Stuart Fails to Save the Universe episode 9 will drop on Thursday, September 17 at 6pm PT/9pm ET.

Internationally, you're looking out for these timings:

• US – Thursday, September 17 at 6pm PT / 9pm ET
• Canada – Thursday, September 17 at 6pm PT / 9pm ET
• UK – Friday, September 18 at 2am BST
• India – Friday, September 18 at 6:30am IST
• Singapore – Friday, September 18 at 9am SGT
• Australia – Friday, September 18 at 11am AEST
• New Zealand – Friday, September 18 at 1pm NZST

When do new episodes of Stuart Fails to Save the Universe come out?

(Image credit: HBO Max)

New episodes of Stuart Fails to Save the Universe will make landfall every Thursday in the US, and on Fridays everywhere else. Here are the all-important dates you need to know about:

• Episode 1: out now
• Episode 2: out now
• Episode 3: out now
• Episode 4: out now
• Episode 5: out now
• Episode 6: out now
• Episode 7: out now
• Episode 8: out now
• Episode 9: September 17
• Episode 10: September 24

• China shipped 46 tons of drone material to a sanctioned Russian firm
• The shipment was hidden on paper under a civilian customs code
• Alabuga-Volokno sends 89% of its output straight to Russian defense firms

Internal shipping records reviewed by the US and UK governments revealed that a Chinese state-owned enterprise transferred 46 tons of carbon-fiber precursor material to a sanctioned Russian drone manufacturer earlier in 2026.

The documents describe two large containers moving between Jilin Chemical Fiber Group and Alabuga-Volokno, a subsidiary of Russia's state nuclear corporation Rosatom.

Investigators say the cargo was logged under a customs code normally reserved for civilian synthetic fiber, obscuring its actual military use.

A disguised customs code

Alabuga-Volokno makes 39 separate carbon-fiber products for aviation, rocket engineering, drones, shipbuilding, and armor.

The company barely releases any civilian products, as roughly 89% of its output is expected to serve Russian defense firms by 2030.

Weapons expert David Albright said using the correct shipping code would have flagged the shipment as a dual-use item with both civilian and defense applications.

Albright estimated the volume shipped could supply enough material for as many as 1,300 long-range attack drones.

Ukrainian Security and Cooperation Centre says it has tracked at least eight tenders for similar shipments between the two firms since 2022.

It claims that the sanctions have left Beijing as nearly the sole supplier of composite materials for Russian weapons manufacturing.

A Kiel Institute analysis found that China supplies more than 60% of the components sustaining Russia's military production.

Former deputy secretary of state Kurt Campbell said dozens of Chinese firms now maintain deep ties to Moscow's defense sector in exchange for military technology transfers.

The disclosure arrives weeks before Donald Trump is scheduled to meet Xi Jinping in Washington, a summit both governments would likely prefer to focus on trade rather than sanctions enforcement.

Beijing denies any wrongdoing

China's embassy in Washington rejected the allegations, saying the country strictly controls dual-use goods and has never armed either side of the conflict.

Rosatom likewise disputed any wrongdoing tied to its subsidiary's customs filings.

“Rosatom and its enterprises operate in full compliance with applicable laws and regulatory requirements,” said a spokesperson for the Russian state firm.

“Any claim to the contrary is false and demonstrates a lack of understanding of how Russia’s customs authorities operate.”

Former U.S. officials remain skeptical of Beijing's denials, arguing that state-owned firms operate under close government oversight.

“They are doing it knowing that the Chinese government will not bust them for it,” said Dennis Wilder, former CIA deputy assistant director for East Asia and the Pacific.

“The idea that Chinese state-owned enterprises can hide things from the Chinese government just doesn’t wash.”

Chinese leader Xi Jinping has always maintained that China will not participate in the conflict between Russia and Ukraine.

“We would not add fuel to the fire, and above all we would not profiteer,” Xi said in 2023.

Despite the denials from Beijing and Moscow, Ukraine argues that Chinese support keeps Russia's defense industry expanding production of drones and missile components.

Kyiv warned that continued shipments only strengthen ties between two of the West's strategic rivals, deepening cooperation across their industrial sectors.

Ukraine called for secondary sanctions, tighter export controls, financial pressure on intermediaries and closer coordination with Asian partners to counter these networks.

Via Politico

• A new Mac music player called YM Pro has been released on the Mac App Store and promises 'bit perfect' playback
• It bypasses macOS' system mixer to connect directly to your DAC
• Changes the DAC to match the file, not the other way around
• PCM audio only, requires Apple Silicon

If you're looking for a hi-res music player for your Mac that can make the most of your external audio equipment, YM Pro could be just what you're looking for.

It's free, open source, available on the Mac App Store, and offers an interesting alternative to Apple's way of doing things, especially if you use an external DAC. And while it's very much a work in progress it's got lots of potential.

Developer Yonesh Murugan has posted details of the app to r/audiophile. Getting it approved was apparently a "nightmare" because the app takes exclusive control of your audio hardware, something App Store reviewers weren't too happy about. But it's now approved and live, although there are a few rough edges still.

The key difference between YM Pro and other apps is that it bypasses the system mixer completely, connecting directly to your DAC and automatically switching its sample rate to the file you're playing, up to 192kHz.

It also has "hog mode", which turns off all your system sounds and other audio while you're listening.

YM Pro audio player: what works, and what needs work

The "bit-perfect" claim is about how the app handles music playback. Rather than up- or downsampling audio files to match your DAC's set bitrate, it adjusts your DAC to match the audio file's resolution — and does it directly, without any other software resampling as it passes through the OS, so your audio should remain pure.

Although YM Pro's core mission is to play hi-res, bit-perfect FLAC files, which the Apple Music app doesn't do (Apple wants you to use its ALAC equivalent instead), it also handles common formats including MP3 and WAV.

It's purely for PCM formats, not DSD, and it requires Apple Silicon (as does macOS 27, which launches imminently).

The app doesn't connect to your Music library; instead, you point it to the folder containing the music you want it to catalog and play. That folder can be the one containing your existing Music library, but it lacks auto-scanning and auto-updating so you'd need to keep it up to date manually.

This is a first release, so inevitably there are some issues. And I seem to be encountering more than most: I can't persuade it to use my preferred audio output, no matter how many times I change it in System Settings > Sound; the workaround described in the r/audiophile thread isn't working on my Mac Mini, where the app isn't paying attention to my selection. There are some interface issues, and others report some playlist organization issues too.

However, early feedback from others says the app sounds good, and as it's free, it's worth taking a look at or listen to so you can compare it with the likes of VOX.

Murugan seems keen on feedback from users, and is promising to make some enhancements based on the comments provided so far.

Apple just opened the door to foldable iPhones, and the Duo may not be alone for long.

Siri AI will cooperate with ChatGPT or Claude on certain tasks. The third-party models can even replace Siri altogether.

The issue does not affect the Nintendo Switch 2.