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AR/VR headset market reaching ‘critical tipping point’

The augmented reality (AR) and virtual reality (VR) market has shown a sharp rebound in the first quarter of the year, with 18.1% annual growth that is setting up mixed reality (MR) and extended reality (ER) to drive long-term expansion, according to research from IDC.

The analyst’s Worldwide quarterly augmented and virtual reality headset tracker found that the market was shifting toward more immersive and versatile experiences. Despite a forecasted 12% decline in total shipments for 2025 due to delayed product launches, IDC expects a strong rebound in 2026 with 87% growth, surpassing the pandemic-era peak of 11.2 million units. From 2025 to 2029, the market is projected to grow at a compound annual growth rate (CAGR) of 38.6%.

The study revealed that the market resurgence was led by Meta, which captured a 50.8% share of business. While Meta continues to lead, IDC also noted that the rise of brands such as Viture and Xreal shows that innovation in form factor and user experience is resonating with consumers, and IDC predicted that the next wave of growth will be driven by mixed and extended reality, especially as AI and Android XR platforms mature.

Among the top five suppliers, Xreal secured the second position after Meta, driven by strong shipments of its One series. Viture stood out with what the analyst called “staggering” 268.4% year-on-year growth, while TCL also posted “impressive” gains at 91.6%.

Yet the study showed that the rising tide of the leaders was not floating all immersive technology boats. By stark contrast, the “others” category in the market study showed that firms experienced a sharp decline of 47.2%, underscoring a market shift toward both established and emerging leaders with focused product strategies.

IDC made particular note that Sony and Apple – typically strong players in the AR/VR space – were absent from the top rankings in the first quarter of 2025 as channels maintained healthy inventory of their products. The data also showed that this shift marked the first time that three of the top five suppliers – Xreal, Viture and TCL – specialised in optical-see-through (OST) glasses, collectively capturing a significant 22.5% share of the market.

Looking ahead, IDC forecasts a dynamic transformation in the AR/VR landscape where pure VR shipments are expected to decline sharply while at the same time mixed reality and extended reality are poised to dominate.

Despite the growth in MR, IDC expects the market category will largely remain as a means of gaming and content consumption for consumers. However, it also believes that smart glasses such as those found in the ER category will have broader appeal in both consumer and enterprise segments. MR shipments are projected to grow from 3.3 million units in 2025 to over 15.2 million units by 2029, a forecast slightly lowered by IDC due to changing priorities and shifts in supply brought about by the onset of tariffs in the US.

ER is expected to surge from 2.2 million to 8.6 million units over the same period and augmented reality will also see steady growth, reaching 457,000 units by 2029.

Assessing the prospects for future business, IDC research director Ramon T. Llamas said the worldwide AR/VR headset market was reaching a critical tipping point: “Pure VR was once the darling of the market with companies like Meta, HTC and Sony accounting for the vast majority of volumes. Now we have it on track to wind down in the next few years.

“Likewise, pure AR had strong promise with the help of Microsoft, but now we anticipate volumes to hold a small place in the overall market. Meanwhile, we anticipate MR to experience a strong reception with many of those VR companies pivoting there and gaining entrants like Apple. 

“ER headsets will continue to gain traction primarily among gamers. Not to be overlooked is the impact that Google’s Android XR can have across both MR and ER, and we look forward to seeing more vendors leverage the new platform in much the same way that numerous smartphone vendors embraced Android.”

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Imagen 4 is Google’s latest text-to-image model, and the results

The ability of generative AI models like ChatGPT and Gemini to generate images with impressive quality continues to amaze me, even though I’ve seen countless examples of how good these image generation models are. These models can also edit real photos by following simple text prompts. And yes, these models can be abused to create misleading visuals that can go viral online.

The companies behind them continue to release upgraded text-to-image AI models, with Google being the latest. Google announced Imagen 4 at I/O 2025 last month, saying the new model is even faster and better than Imagen 3, which is already a high-end image generation service.

Google said at the time that Imagen 4 has “remarkable clarity in fine details like intricate fabrics, water droplets, and animal fur, and excels in both photorealistic and abstract styles.” Other improvements include 2K resolution support and improved spelling and typography.

Google also teased that a fast variant of Imagen 4 would be available soon, bringing a 10x speed improvement over Imagen 3.

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Now, Google has announced that Imagen 4 and Imagen 4 Ultra are available to users, sharing a few mind-blowing examples of what the new models can do.

Cost and availability

On Tuesday, Google said in a blog post that Imagen 4 and Imagen 4 Ultra are now available to paid preview users in the Gemini API. For a limited time, Google AI Studio will also support Imagen 4 testing.

Imagen 4 will cost $0.04 per output image, one cent more than Imagen 3. Go for the Ultra version, and you’ll pay $0.06 per image. Additional tiers will be announced in the future. All Imagen 4 images will feature a non-visible SynthID watermark. However, a visible watermark won’t be present.

What is Imagen 4 Ultra?

Google describes Imagen 4 as its “best text-to-image model yet,” featuring “significantly improved text rendering” over previous models. So, what can the Ultra version do? Here’s how Google describes it:

When you need your images to precisely follow instructions, Imagen 4 Ultra is the model for you. It’s designed to produce outputs that are more highly aligned with your text prompts, achieving strong results compared to other leading image generation models.

Look at these Imagen 4 Ultra samples

Words alone aren’t enough to detail the capabilities of an advanced image generation model. Luckily for us, Google provided a few mind-blowing examples of what Imagen 4 Ultra can do.

Check out a few prompts followed by the images Imagen 4 Ultra produced below.

Prompt 1: A 3-panel cosmic epic comic. Panel 1: Tiny ‘Stardust’ in nebula; radar shows anomaly (text ‘ANOMALY DETECTED’), hull text ‘stardust’. Pilot whispers. Panel 2: Bioluminescent leviathan emerges; console red text ‘WARNING!. Panel 3: Leviathan chases ship through asteroids; console re text ‘SHIELD CRITICAL!’, screen text ‘EVADE!’. Pilot screams, SFX ‘CRUNCH!’, ‘ROOOOAAARR!’.

AI image created with Imagen 4 Ultra. Image source: Google

Prompt 2: Front of a vintage travel postcard for Kyoto: iconic pagoda under cherry blossoms, snow-capped mountains in distance, clear blue sky, vibrant colors.

AI image created with Imagen 4 Ultra. Image source: Google

Prompt 3: Photograph of an adventurous couple hiking on a mountain peak at sunrise, arms raised in triumph, epic panoramic view of valleys below, dramatic light.

AI image created with Imagen 4 Ultra. Image source: Google

Prompt 4: Avant-garde fashion editorial shot: a model in a voluminous, architectural gown standing on a shimmering, alien landscape under a binary sunset, surreal colors, high-concept, cinematic.

AI image created with Imagen 4 Ultra. Image source: Google

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Pure CEO Charlie Giancarlo on data management, all-flash and tariffs

At Pure Storage’s Accelerate 2025 event this week in Las Vegas, the company launched its Enterprise Data Cloud, which knits together a common operating system across its storage products, plus monitoring and management capabilities from its Fusion control plane and as-a-service procurement options.

We caught up with CEO Charles Giancarlo to ask him about Pure’s foray into data management, and how it can do this where other storage suppliers might not.

We also asked about Pure’s much-vaunted promise to drive out spinning disk hard drives from the datacentre, a quest which has received a boost by undergoing proof-of-concept work with hyperscaler Meta on its Direct Flash Modules.

We also asked Giancarlo about the company’s exposure to tariff uncertainty, and found a company largely untouched, except perhaps for having to constantly plan for much-changing scenarios.

What’s different about Pure’s Enterprise Data Cloud? How does it differentiate you from other storage suppliers?

What’s really different is that we now have this intelligent control plane, which has never existed in data storage before.

If you think of the way a computer is designed, most computers have storage inside, right? And servers today have storage inside.

The concept of an array came about in the mid-90s, as datasets started getting really large. It couldn’t fit in the server anymore, so they put it as a separate device, and sometimes they’d want multiple servers to use the data.

So, they could connect it with a SAN, or a network of some type, and you could have a lot of data, and have computers run off it. But the concept was still that the data belonged to a server or a set of servers, still operating like a data store for a set of servers.

And that’s the way it’s been for the past 30 years. Now, the cloud has operated differently. They said, “OK, we’re going to need a lot of storage for a lot of companies and a lot of different applications.” So, they developed it as a horizontal layer.

Now, they might have multiple horizontal layers, everything from archive to high-performance, and maybe one or two in-between. But it’s not dedicated to any set of servers, not dedicated to any use case or any application. They have software that will allow a company to define how much storage they need and where they need it, right?

That’s not the way it’s done in the enterprise, but let me step back a minute.

It’s not the way you and I do it anymore. You and I, at one time, had an external hard drive. But if I wasn’t at home, I didn’t have access to that information. Also, if it filled up, I’d have to buy a new one and then I’d have to move all the data from the old one to the new one unless I wanted to have stacks of these things, which you never do. So, it’s kind of a pain.

And also, if I wanted to share information, I’d have to attach it to an email or something like that. It wasn’t a point and click to share it with somebody. So, the benefits of your data being part of, quote, a cloud is so much higher than it being part of a dedicated system that’s tied to an application stack.

Why hasn’t anyone done this before? Why hasn’t a storage supplier provided this kind of visibility into the data across their systems?

The fact of the matter is people have tried. We talk about storage, but of course there’s high performance, low price, there’s block file and object storage. There are large systems and there are small systems. And all of those in the past, because of the limitations of hard disk, were designed with different software, or because maybe the portfolio was assembled by acquisition, they have different software.

It’s a lot harder to do this if you have different software for different systems.

We have developed everything on Purity. And Purity in our first product was a block system, and then we added file and object. But even though it was a block system, we don’t view everything as a block. At the core of Purity is something called a key-value store, which is a very modern way of having very scalable metadata.

And so, whether it’s a block file or object, a large file, a small file, everything is just a key value that is done as a lookup. My point is, having a unified data plane made it easier for us.

And the fact that we’re on all-flash made it easier for us to be able to deliver for the first time a virtualised cloud of storage rather than individual arrays.

There are things called clusters that most of the vendors have, but a cluster is a few arrays. Not only do all of the arrays in our system on a global basis appear as part of the data cloud, but then you can create a set of rules around how data sets get managed.

You create a data storage class that represents your company’s policies, procedures and compliance rules around replication, around backup, around recovery times, and all of that. And then that becomes a data storage class. And every new application that needs to use data that fits that class, you just write to its API, and bingo, you get the same set of characteristics for that data class.

If you think about it from a compliance standpoint, when arrays are separate, then the way you put in the rules for how that array operates relative to, let’s say, cyber, is done manually. Well, it’s done manually everywhere around the enterprise, which means it could be done differently in one location than another, or one application than another. And so, your rules are really just on paper.

What someone actually did, there are a few records of, and it’s not consistent. Not only that, let’s say you’ve got hundreds of arrays, which a lot of large customers have, and you decide, OK, we’re going to update our compliance policy this year – and compliance policies are always being updated. All right, now you’ve got to go to 200 arrays and change them.

With Fusion, you change the policy, and the changes take place. You just change the policy.

In 2023, you said hard drives would be dead by 2028. How do you think that’s going? I would estimate at the moment that one win with a hyperscaler – Meta – for a relatively limited use case isn’t a great deal of progress. What’s your assessment?

I’ll quibble with you in terms of a limited use case. We’re being certified up and down their entire stack. They have multiple tiers of storage. So, we’re being certified for all of the tiers.

Now, yes, they will probably start at their most expensive and highest performance tier and go down. But we had to prove to them on a TCO basis before they would even start to use us that we were equal to their lowest non-archive, their lowest tier, lowest online tier of hard disk storage. And one of the benefits that we bring to them, which is really unique, is that the software they will be using from us is exactly the same for every tier.

Believe it or not, that’s not the way they operate today. Every disk, every type of disk, every vendor of disk, every type of SSD, every vendor of SSD is so different they have to change their kernel to be able to utilise it.

We don’t operate in kernel space. We operate in user space, so they will not have to change their kernels.

And the only difference will be whether they are using a 300TB [terabyte] drive, a 75TB drive, or eventually a 600TB drive. They’ll have different price performance levels for each one of those. That’s a huge benefit for them.

What it means is, without any change in their software, they’ll be able to leverage us, and it will only depend on relative pricing.

What is Pure’s exposure to any uncertainty around tariffs? And if there is any exposure, what are you doing about it?

Of course, we’re exposed to all of that, because we never know what the decision is going to be tomorrow, what pronouncement is going to be made tomorrow. It could be tariffs on everything going through South Dakota. Who knows? To say that it’s uncertain is, I think, somewhat generous.

Not only is it uncertain, but if you look behind the pronouncements as to what detail is behind it; oh, my God, no detail. So, you announce a 150% tariff on some producer or some country, and then you say, okay, well, what does that apply to? Does it apply to the value add that was placed there? Because remember, electronics in particular touches a lot of countries before it ends up as a product. Is it the value add that was placed there or is it the entire thing? Well, it’s not in the detail.

But that being said, what all of the repeated updates on what the tariffs has done is create a huge amount of activity around planning, but no action being taken because you don’t want to take action. The thing we can’t do, unlike some people in the government, is go back to our suppliers after making a decision and say, “Oh, just kidding”. We actually want to go back to the way it was before.

Our current view is, for our international customers, it doesn’t matter and it’s going to have minimal effect on our US customers.

We can manufacture a product without it ever touching the US. And it wouldn’t matter for export anyway.

We do our sub-assemblies largely in Vietnam. A final assembly is done in three locations right now: Juárez in Mexico; Houston in the US; and Czechia.

We can manufacture products for Europe without it ever going through the US. And we’ve got the US. MCA [United States-Mexico-Canada Agreement], which allows us to import from Juárez without tariffs. And we can obviously also satisfy our Asian customers outside the US. Actually, regardless of the tariff regime that was being identified, it would only affect US customers.

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Restaurant fills DR gap with all-flash Pure and dodges higher

US restaurant chain Red Lobster opted to standardise on Pure Storage flash storage arrays as it tried to fill a gap in disaster recovery (DR) provision that would have left it severely exposed in case of an unplanned outage at its primary datacentre.

The move to fully on-premise mirrored datacentres also meant it dodged cloud operational expenditure (opex) costs that would have been six times the cost it has incurred on-site.

Red Lobster specialises in seafood, in more than 500 restaurants across the US and Canada, as well as take-out and delivery services.

It runs its IT from two Equinix datacentres, one in Ashburn, Virginia, the other in Dallas, Texas. Core IT revolves around point of sale, internal applications such as HR and finance, and procurement, all of which underpin the company’s primary operations – buying ingredients, hiring staff to cook and serve food and drinks, and taking payment.

When CIO Shawn Harrs came to Red Lobster, the most urgent task was to build out a gap in DR provision that meant the company’s primary datacentre did not replicate to the other.

In the process, the company also end-of-lifed storage infrastructure from four incumbent suppliers and standardised on Pure.

“When I joined the company two years ago, the primary datacentre in Ashburn did not have failover capability to Dallas. It had never been built out,” said Harrs.

“When I came into the company, I did an assessment across all the capabilities of the company,” said Harrs. “And as I dug into it, I realised the company had built a pretty strong infrastructure capability in Equinix datacentres, but it never completed the project. It stopped well short of providing a true business continuity capability.”

Harrs built his business case and presented it to the Red Lobster board.

“I needed to implement a capability where if everything running and live and being used fails, there has to be an equivalent exact copy of it readily available to run. There were different ways to accomplish that.”

When finance looks at the lost revenue of one day compared to the one-time cost … and a one-hour return to service, it is a very easy sell Shawn Harrs, Red Lobster

The options evaluated initially were all cloud and on-premise, which included the use of spinning disk. But the initial iteration of the latter option did not give a quick enough restore time, said Harrs.

“We looked at a cloud option, and we looked at an on-prem option that didn’t return the business to operational functionality within a time frame that was acceptable,” said Harrs. “Another option we looked at – which I called the Goldilocks option – was to supplement that second option with Pure Storage because of the speed at which we can replicate what’s happening in one datacentre to the next.

“From a cost perspective, the options were highest cost, lowest cost, and then [Pure] in the middle,” said Harrs. “It’s sort of the middle cost, but it gets us back up and running in an hour versus in a day. And so, when finance looks at the lost revenue of one day compared to the one-time cost, or one-time and the ongoing cost of a one-hour return to service, it is a very easy sell.”

So, Harrs’s team deployed Pure Storage FlashArray storage at both sites, with replication between them to allow for failover. Capacities run to petabyte scale.

Red Lobster opted for Pure’s Evergreen One storage as a service, which allowed the company to spread costs.

“I wanted to get a favourable mix of one-time capex [capital expenditure] and recurring opex investment,” said Harrs. “To invest a significant amount of capex in a one-time initiative and depreciate it over a five-year period would have made the project very heavy in that one fiscal year. With this option, I was able to take the total cost of the project and spread it out over a three-year period.”

Has Harrs been able to quantify the benefits of moving to Pure Storage infrastructure?

“Yes, in sleep. Because I can sleep at night. It’s the kind of investment that you never want to know about. If you’re a CEO or a CFO or an operator, you want to know that you’re going to be able to open your restaurant tomorrow and it’s going to be able to run. This can give them that certainty.”

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OpenAI’s first AI device won’t succeed on Jony Ive’s name

This has been a busy week for OpenAI, Sam Altman, and Jony Ive. After all, the AI firm had to take down its page about io, Altman and Ive’s company that is currently developing a device that could mark the biggest product release in the industry since the iPhone in 2007.

While some people assumed that the partnership was already over, it was actually a trademark issue that forced OpenAI take down the page on its site:

This page is temporarily down due to a court order following a trademark complaint from iyO about our use of the name ‘io.’ We don’t agree with the complaint and are reviewing our options.

Then, a court filing from OpenAI revealed more details about this mysterious new product, which has previously been called a non-smartphone, and now a “non-wearable.” As detailed by my colleague Chris Smith, this device is “at least a year away” from being released, and it won’t be an in-ear device like the one iyO is taking preorders for.

OpenAI’s Sam Altman and Jony Ive announces io company Image source: OpenAI

It seems likely that analyst Ming-Chi Kuo was right. In May, he reported that the “current prototype is slightly larger than the AI Pin, with a form factor as compact and elegant as an iPod Shuffle. The design and specifications may change before mass production.”

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Some suggest it could also be worn around the neck or placed on the desk in the office. Still, I don’t think the success of this product will rely on its form factor, and this is why I don’t think Jony Ive’s name alone will be enough to make OpenAI’s first hardware succeed. As a matter of fact, it’s the software that will make it thrive.

OpenAI can succeed where Humane failed

Every time a new report mentions the kind of product OpenAI is developing, I can’t help but think about Humane’s AI Pin. At the time, I was among those who didn’t believe in the technology and didn’t see a reason for the product to exist. A year later, I would say the main issue with it was that the technology wasn’t there yet.

This is why I think OpenAI has a great chance of succeeding. For the tasks this AI companion is expected to perform, it needs better LLMs, reasoning capability, and usability.

Humane AI Pin. Image source: Humane

Bear with me: We’ve seen AI usage grow exponentially. While Apple recently published a very interesting paper about AI models not being able to reason, it doesn’t mean they can’t be useful. From training for a marathon, understanding how to use a washing machine in a different language, or quickly recording, transcribing, and summarizing a meeting, AI can do a lot to make our lives easier.

I also really like how Google, OpenAI, and Opera have been approaching AI. The AI companion should do things alongside you, such as Google’s AI shopping mode, OpenAI’s onscreen awareness in iOS 26, and Opera’s Operator browser to help you complete tasks.

That said, even if OpenAI’s new AI product looks like a futuristic iPod shuffle or an AI Pin, it will still have more than a few key differentiators, including improved intelligence, more capable AI models, and the example of others who failed first.

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Richer people look forward to cutting-edge tech to help save

Emerging technology such as smart artificial intelligence (AI)-based assistants could save people two hours a day, a OnePoll survey for Lloyds Banking Group has reported.

The survey of 1,000 UK adults in conjunction with Lloyds found that high earners are most interested in tech to help them manage their busy lives and do household chores. The tech respondents are most excited for are AI personal assistants to carry out life admin tasks; autonomous drones for faster deliveries; driverless cars to reclaim commute time; and smart vacuum cleaners.

The majority (86%) of UK adults polled say having more free time is important to them.

Almost one in four (23%) feel that less than 10% of their time outside of work is genuinely free, with the majority (86%) stating that getting more free time is important to them.

The survey results, published in Lloyds’ The future of free time report, reveals that emerging tech could enable people to save 110 minutes of free time per day in the near future.

For those earning over £100,000, the need for more free time drastically increases, with 99% saying it’s important, a third (34%) willing to give up their phone and 29% happy to give up coffee for a full extra hour of free time a day.

In the report, Lloyds Banking Group notes that given the changes in how people are spending and saving free time, there appears to be a shift in how many extra hours they have in the day. “Investing in the right technology could give us an extra 110 minutes every day,” it says.

According to Lloyds, technology to enable people to book health appointments, driverless cars, AI assistants, handy drones and robot cleaners all play a part. “Although some tasks will only save us a few minutes a day, these minutes easily add up to hours,” the bank notes in the report.

While three in five adults are ready to welcome these innovations to reclaim lost hours, an overwhelming majority (97%) of higher earners say they’re likely to adopt new tech if it helps them save time.

The study reported that time-saving opportunities can be unlocked in five key areas. First, up to 37 minutes a day could be claimed back with automation, using smart home tech like AI-powered vacuums to make cleaning quicker and easier. Next-generation AI assistants and tools can handle research and admin tasks, which, according to the report, could save 31 minutes daily.

It also pointed out that autonomous AI applications can be used to streamline online shopping and banking, handing back up to 18 minutes a day. In addition, innovations in drone delivery can speed up parcel deliveries and collections.

With driverless cars, the report suggests that not having to be at the wheel could save up to 21 minutes a day, which can be repurposed for other activities to unlock even more free time.

Looking at health and care appointments, automated, at-home testing and more convenient health appointments could shave off three minutes a day, as well as help with cutting down on unnecessary travel.

“Our research shows people are becoming more comfortable with using technology to handle daily tasks, with 60% of people open to adopting new tools to save time and 53% feeling confident about letting tech take over routine chores,” said Adam Rainey, director of mass affluent at Lloyds.

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ITS wins dark fibre contract to boost Carmarthenshire connectivity

As activity ramps up for the £1.3bn project funded by the UK government, Welsh government, public sector and the private sector, the Swansea Bay City Deal has awarded full-fibre services operator and provider ITS a £3.5m contract to supply dark fibre to enhance public sector connectivity across Carmarthenshire.

The Swansea Bay City Deal project is intended to boost the regional economy of its catchment area by at least £1.8bn, while generating more than 9,000 jobs over its 15-year lifespan. Its Digital Infrastructure Programme will deliver a total of 36 individual projects throughout South West Wales. Programmes and projects are based on key themes such as economic acceleration, life science and well-being, energy, smart manufacturing and digital.

In August 2024, the Swansea Bay City Region appointed Virgin Media O2 Business to build a dedicated dark fibre network to 36 public sector sites in Swansea’s city area and Neath Port Talbot, looking to provide a broadband boost to projects across Carmarthenshire, Neath Port Talbot, Pembrokeshire and Swansea. Due for completion in December 2025, the dark fibre network is designed to improve connectivity for local authorities, healthcare and education partners in the region, enhancing health and education-based research and development.

The infrastructure is attributed with being able to future-proof the digital capabilities of the Welsh Ambulance Service University Trust, Swansea Bay University Health Board, Hywel Dda Health Board, Swansea University, the University of Wales, Trinity St David, and the three local authorities – Neath Port Talbot, Swansea and Carmarthenshire.

The contract will see ITS move into South Wales for the first time, aligning with the programme’s goal to create a smart region ready to innovate and adopt emerging technologies, ensuring “an inclusive digital landscape that meets everyone’s needs”.

ITS’s entire full-fibre network is built on XGS-PON technology, and in what is said to be a UK-first, it has trialled dedicated internet access over 50G-PON in both lab and live business environments. This is claimed to have marked a significant milestone for the UK fibre market, offering a more sustainable and efficient way to deliver ultra-fast services using existing fibre infrastructure and reducing the need for additional equipment.

The investment will serve 41 dark fibre connections across 34 strategic public sector sites in Carmarthenshire, connecting education, health and local authorities. The project includes key partners Carmarthenshire County Council, University of Wales Trinity Saint David, Hywel Dda University Health Board and Coleg Sir Gar.

In addition to securing the contract award, ITS will invest in a wholesale full-fibre network that mirrors the dark fibre route and extends beyond it to pass more than 2,800 businesses. This private investment will enable access to gigabit-capable services, significantly enhancing the area’s digital infrastructure.

The network will connect sites and datacentres to store, move and share large quantities of data to improve the collaboration between these organisations, enabling them to use technology and applications such as artificial intelligence, and share and analyse data in real time. It will also aim to underpin new ways of working and offer the capability more data-driven decision making, having the capacity to flexibly meet the evolving needs of the sectors and the delivery of modern public services.

“We are thrilled to have been successful in this tender process, which will see us play a pivotal role in transforming the area’s digital landscape,” said ITS chief executive Daren Baythorpe. “As our first public sector contract in South Wales, this is a fantastic milestone for us, and one that will provide the foundation for a connected future for the region, driving innovation and prosperity for the entire community … This type of innovation aligns perfectly with the Digital Infrastructure Programme’s objectives, providing a platform for economic growth and bridging the digital divide.”

Digital Champions in each local authority will work with industry, government and poorly connected communities to support the delivery of the programme at a local level, prioritising digital inclusion, tackling inequalities and limiting environmental impact.

“This announcement marks a significant advancement in equipping our public sector services to meet future demands,” added Philip Hughes, cabinet member for organisation and workforce at Carmarthenshire County Council. “By aligning with the Digital Infrastructure Programme’s objectives, this project will underpin the expanding needs of digital services in our communities, which rely on having effective, secure and high-capacity infrastructure.” 

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We might have to wait until March 2026 for Siri’s

According to Bloomberg’s Mark Gurman, Apple now plans to debut its AI-powered upgrade for Siri as part of iOS 26.4. Looking back at the previous two iOS generations, iOS 18.4 arrived on March 31, 2025, while iOS 17.4 rolled out on March 5, 2024. Therefore, we can safely assume iOS 26.4 will launch around March 2026.

Apple’s Siri upgrade is still MIA

Siri in iOS 17. Image source: José Adorno for BGR

The new Siri experience was initially set to launch as part of iOS 18, but a well documented set of problems behind the scenes prevented that from ever happening. As a result, iPhone owners are still waiting for Siri to catch up with far more capable AI chatbots.

Apple revealed the “more personalized” Siri at WWDC 2024, but the launch of iOS 18 came and went last fall without any updates. Apple finally told John Gruber’s Daring Fireball in March 2025 that it was going to take the company “longer than we thought to deliver on these features,” but that it still expected to roll them out at some point in 2025.

That’s clearly no longer the case, as Apple executives Craig Federighi and Greg “Joz” Joswiak sat down for an interview with Tom’s Guide at WWDC 2025 and confirmed that the company is now anticipating “rolling them out in the coming year.”

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Bloomberg’s report not only corroborates the news, but provides a concrete timeline for when we can expect to see the Siri upgrade actually materialize.

What is the Siri upgrade all about?

In a press release last June, Apple referred to the upcoming Siri powered by Apple Intelligence as “more natural, more contextually relevant, and more personal.” The company told us that Siri would soon be able to follow along even when the user stumbles over their words, keep up with a conversation over multiple requests, and switch between text and voice.

“With Apple Intelligence, Siri will be able to take hundreds of new actions in and across Apple and third-party apps,” the company noted. “For example, a user could say, “Bring up that article about cicadas from my Reading List,” or “Send the photos from the barbecue on Saturday to Malia,” and Siri will take care of it.”

Instead, all we really got was a new design for Siri, which now shows up as a glowing light that wraps around the edge of the iPhone’s display. That will apparently continue to be Siri’s biggest improvement until the calendar flips to 2026.

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ChatGPT Projects just got a huge upgrade

AI superintelligence is inevitable. In fact, we’re already well on our way to reaching it. Superintelligence will theoretically lead to a much better world for everyone on the planet. It’ll eventually be available to everyone, and it’ll be cheap. We won’t worry about energy costs either. This is all part of the vision laid out in Sam Altman’s latest essay about the path OpenAI is on, and the role it has in developing advanced ChatGPT products.

If you were wondering, the CEO did acknowledge some of the risks along the way. But he also chose to downplay them.

One quote from the blog is worth remembering, as it applies to the entire AI landscape, not just ChatGPT. “From a relativistic perspective, the singularity happens bit by bit, and the merge happens slowly,” Altman said. That “bit by bit” part couldn’t be more accurate, considering how we’ve experienced AI innovations in the last few years.

We’ve been flooded with new AI products and features, with announcements coming at an unpredictable pace. Each one is slowly getting us closer to AGI and superintelligence, even if the progress feels almost imperceptible.

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OpenAI’s ChatGPT announcements this week reflect that perfectly. The company hasn’t unveiled major new AI products, but it has improved ChatGPT in meaningful ways. A few days ago, it released o3-pro and announced a major price drop for o3 queries. On Thursday, ChatGPT upgraded the Project feature, adding several important tools that should improve your productivity while using the chatbot.

Projects is a smart feature in ChatGPT that lets you group together similar chats that might be part of the same project. It’s like placing similar files in the same folder on a computer. That’s actually the best analogy here. You get to group specific chats in folders.

But with Projects, you can also talk to the AI about the chats in that folder. OpenAI is improving the feature by adding some useful new tools.

Deep Research

ChatGPT Projects supports Deep Research and other tools. Image source: Chris Smith, BGR

I’m a big fan of Deep Research, and I use it all the time when I feel regular ChatGPT chats won’t go deep enough on a topic.

Deep Research is now coming to Projects, which means the AI will consider all the chats in a Project when forming its responses. You can also add files to Projects, and those will be included in Deep Research.

Better memory

An example of a Project inside ChatGPT. Image source: Chris Smith, BGR

ChatGPT already lets you save memories and reference old chats. The improved memory can now focus specifically on past chats within a Project when you’re using the chatbot inside that Project.

Voice Mode

ChatGPT will inform you that Projects got new features. Image source: Chris Smith, BGR

ChatGPT Advanced Voice Mode is now available in Projects. You can discuss your files and past chats with the AI by voice. That’s a big upgrade, as it lets you talk to ChatGPT about any of your Projects while you’re on the go. If you have ideas about specific Projects, you can start voice chats while doing chores or driving.

Improved mobile experience

Working with ChatGPT on Projects while you’re out and about wouldn’t be complete without updates to the mobile app. OpenAI also upgraded the mobile experience so you can upload files and change the ChatGPT model when needed.

Share individual chats

ChatGPT Projects lets you upload custom instructions. Image source: Chris Smith, BGR

You can still share chats from Projects. Create unique URLs for the conversations you want to share with others.

An easier way to manage Projects

Managing Projects should now be easier. You can create a new Project from any chat by tapping the three-dot menu. You can also drag and drop chats into a Project.

OpenAI added several new features to ChatGPT Projects, and they’re now available to Plus, Pro, and Team users.

Before you start

I’ve been using Projects to group similar chats, and I’ll definitely take advantage of some of the features OpenAI just announced. I also use temporary ChatGPT Projects to bulk-delete chats, which is my workaround for the lack of an easy way to delete multiple chats at once.

Whether you’ve used Projects before or you’re just considering them, the features above are available to premium users. ChatGPT Plus, Pro, and Teams already have them, while Edu and Enterprise users will retain the current functionality.

ChatGPT Projects supports up to 20 files. Image source: Chris Smith, BGR

OpenAI won’t use information in Projects to improve ChatGPT by default for Team, Enterprise, and Edu users. Free, Plus, and Pro users will need to turn off the “Improve the model for everyone” setting to stop their data from being used to train the AI.

As for files, you can upload up to 20 documents per Project.

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Apple Music Replay looks stunning in iOS 26

Apple Music is getting several new features in iOS 26. Alongside the revamped design with Apple’s new Liquid Glass UI, it seems the company has finally figured out how to create a native Apple Music Replay experience on its music platform.

This was first noted by X user Dylan. If you open Apple Music Replay in iOS 18, you’ll see a different tab highlighting your musical goals for the month. In contrast, iOS 26 gives it a stunning new look, with everything blending together for a more integrated experience.

When you open the Apple Music Replay card on the new Apple Music Home tab, you’ll get a similar but improved experience. You can select the months and the year you want to see your Replay. What’s interesting is that Apple is including information from the early Apple Music days, which for me means even the tunes I was rocking back in 2016.

Image source: José Adorno for bGR

While the data might be limited in the early years, you can still compare how much you listened to an artist, song, or album from one year to the next. If you’re using more recent data, such as 2023 or 2024, you can also get your Highlight Reel.

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Interestingly, the Highlight Reel experience still feels very similar to what you get on the web, but it’s fair to assume Apple is preparing a more trend-driven annual Apple Music Replay for 2025.

There’s even more coming to Apple Music in iOS 26

Image source: José Adorno for bGR

iOS 26 is also adding the following features to Apple Music:

  • AutoMix: Apple Music is getting a DJ-style feature that seamlessly mixes one song into the next. This should improve on iOS 18’s crossfade feature.
  • Lyrics Translation: The lyrics translation feature helps you better understand your favorite foreign-language songs.
  • Auto-pin Favorite Songs: One of the unannounced features is the ability to pin your favorite songs, artists, albums, or playlists to the top of your library. You can even long-press on an album, playlist, or artist to choose a Tap Action, such as “Go to Album/Artist/Playlist,” “Play,” or “Shuffle.”

Below, you can learn more about the other Apple Music features coming with iOS 26.

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