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I'm sure that you'll be looking for some ...

I'm sure that you'll be looking for some soothing escapism to stream this weekend, but ITV has other ideas. From September 20, new crime drama The Blame hits our screens, with episodes available to stream en mass on ITVX.

Led by Michelle Keegan and Douglas Booth, the six-part series follows the murder of a teenage skater, which not only draws detectives down a dark, treacherous path, but also forces them to investigate their own team.

The call is coming from inside the house, as the kids say. DI Emma Clare (Keegan) is not just the only member of the force to work out what's really going on, but she's the only person brave enough to call out (the fictional) Wakestead police force on its biggest issue: misogyny.

From the moment The Blame begins, the murder investigation becomes shockingly intertwined with just how prevalent casual misogyny is across multiple officers involved in the case. It's a heavy-handed approach, which includes text messages from real officers discovered through whistleblowing operations. They're hideous, and it's tough to watch.

I quickly wondered whether the series needed to be so blatant with the issue to get its point across (in my view, yes it does). But Keegan and Douglas Booth don't just think that this creative decision leads to an "even deeper" storyline, but the original opening to episode 1 was so explicit that it had to be re-filmed.

'If you've done nothing wrong, what would you be worried about?'

"It was a deliberate choice to start with that," Booth, who plays 'nice guy' DI Tom Radley in the series, tells me. "It's on the nose, but I think even if it wasn't that blatant, the effect would be the same. As you go through the story, it goes much deeper.

"You're trying to solve a crime, but the way that men talk to you, the way they interfere or get in the way, even the compliments... this is all explored through many facets," Keegan adds. "But starting with the base of something seeming harmless immediately drops you into the right place."

When we first meet Clare and Radley, they're talking over the day's events in the local pub — before anyone knows that a murder has taken place. Other officers are also scattered around, talking about the best way to try to pick up an attractive woman at the bar. It's a subtle yet all too familiar reminder of the social culture that's become ingrained.

The more grisly action doesn't begin for another 10 minutes or so, but this wasn't always the case. "There were actually a couple of different versions of that scene," Booth adds. "There was a much more explicit one that [creators] decided not to go with. It was explicit... I won't go into what. But they didn't start with it. As you see them, things are still blunt and direct, but things are later dissected from there."

It's this constant moral back-and-forth experience you have as a viewer that I think is the most poignant part of watching The Blame. You don't feel as though you can believe any part of what you're seeing, including the texts that you know for a fact are real. We naturally want to believe that decent human behavior is something more frequent than it actually is.

But is anybody worried about potential public backlash? "When we spoke to police, they understand that there are issues. I don't think anyone can say otherwise," Booth explains. "But you also see all of the brilliant work that the police do. They're doing a really difficult job out there, all the time.

"That doesn't mean that there aren't systemic issues, and a certain institutional rot that is portrayed in this show. But I'm not really worried. Because if you've done nothing wrong, what would you be worried about?"



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IKEA is really making a name for itself in smart ...

IKEA is really making a name for itself in smart home tech. Its mobile app is clear and easy to navigate, its selection of smart switches (which my colleague Ruth Hamilton called "the understated hit of IKEA's new gadget range") are versatile and cheap, and its stylish smart lamps made a real splash at this year's CES technology show.

But what if you don't want to be limited to IKEA's own app? What if you like IKEA's lights, but already have a Philips Hue setup, or want to incorporate lights and devices from other brands as well?

Thankfully, there are lots of options to explore, from simple software solutions to crafty hardware hacks. Here are four ways to get all your smart lights to play along nicely.

1. Use the Matter standard

Last week, IKEA launched a new driver for its integrated lights (including the type of strips and spots you would install in cupboards and cabinets) that not only lets you control them remotely via the IKEA Home app, but is also compatible with the Matter smart home standard. That means you can combine these integrated lights into a larger smart home setup.

You can then control them using a Matter-compatible smart speaker, set a schedule, dim them, and much more. You aren't limited to IKEA's integrated lights, either. The brand also offers other Matter-compatible lights, including the color-shifting, donut-shaped Varmblixt, and Kajplats bulbs — and you can throw in lights from other brands like Nanoleaf, Govee, and (of course) Philips Hue, too.

But what if you don't want to use the Matter standard? What if you already have a Philips Hue setup and want to continue using the Hue app to control all your lights?

2. Connect everything to your Hue Bridge

IKEA smart lights (such as the Varmblixt and Kajplats) support Zigbee Light Link, which is the same wireless protocol used by Philips Hue bulbs. You can therefore connect your IKEA lights directly to a Philips Hue Bridge by following these instructions:

  1. Ensure your IKEA smart light has software version 1.2.x or later
  2. Keep the IKEA smart light close to the Philips Hue Bridge
  3. Search for new devices in the Philips Hue app
  4. Do a factory reset of the smart light by toggling the main switch six times

Connecting your IKEA smart lights this way will let you control their basic functions through the Hue app, set schedules, add them to groups, and trigger them with Hue sensors and switches.

However, you won't get the same degree of control you would through a native Hue smart light. You won't be able to dim your IKEA lights using a Hue Tap Dial switch, for example, or incorporate them into a Philips Hue Play entertainment setup. For that, you'll need to get more creative.

3. Try a hardware hack

If you like the look of an IKEA smart light, but want the full functionality of Philips Hue and are feeling brave, you could try a crafty hardware hack.

The Varmblixt lamp is a particularly popular choice for smart lighting DIYers, who have discovered that its frosted glass case is ideal for concealing a Philips Hue light strip. Reddit user K1uppy described the process of opening the IKEA lamp, removing its innards, and replacing them with a coiled Hue strip.

IKEA VARMBLIXT + Repurposed Hue Lightstrip
 from r/Hue

It's an interesting idea, and another Redditor's experiment with a non-Hue LED strip demonstrates how dramatic the effect could be with a gradient.

Donut Lamp with WLed
 from r/WLED

However, you should remember that a coiled light strip could overheat, damaging the LEDs.

4. Pick the right lamps

A safer (though less imaginative) alternative is to use Hue bulbs with IKEA lamps designed for standard light bulbs. Look out for ones that will diffuse light, such as the Fado table lamp, the ruffled Vindkast, or the striking multi-bulb Simrishamn. You can use the Philips Hue app to create a 'group' of these three bulbs, and control them together or apply a scene so they co-ordinate for an interesting effect.

There are Philips Hue bulbs for virtually all light fixtures, so you will be able to find one that fits your chosen IKEA lamp. Reddit users have suggested dialing down the brightness of your Hue bulbs to around 50% to create soft ambient lighting. You'll find a collection of suitable IKEA pendant, table, and floor lamps below.



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This week was a little quieter than last in the t...

This week was a little quieter than last in the tech news space — if you ignore the hullabaloo caused by various AI companies that their models might one day kill us all if regulation doesn’t arrive.

A bit heavier than an Apple iPhone event, but important nonetheless.

To catch up on that and this week’s lighter (but still essential and biggest) tech news stories, scroll down for our ICYMI recaps and links to the full articles. But before you read about the news, you might want to try your hand at our quiz to see how much you remember of last week's ICYMI roundup.

7. We interviewed John Ternus

You've just been named CEO of one of the world’s most important tech companies; what runs through your mind? I asked John Ternus that question to his face, and his answer was perfect. It was all part of a wide-ranging interview we conducted with our friends over at Tom’s Guide. Lots of good bits about what innovation means at Apple and why the Cupertino giant is finally making a foldable.

6. Google Live Translate went offline

Google Translate

(Image credit: Shutterstock)

Arguably the best Google Translate tool is its Live feature — which lets you converse with someone in your respective native tongue, and each sees a real-time translation of what the other has said.

It can break down the language barrier, if you have an internet connection, that is, though that is changing.

Google has started rolling out an offline mode for Live Translate. There are some limitations — it only supports translation from English to French, German, Portuguese, Italian, Spanish, Hindi, Indonesian, Japanese, Russian, and Swedish — and it’s only coming to the Google Pixel 11 series, Pixel 10 line, and Pixel 9 series.

5. Canon launched the EOS R8 Mark II

Top of the Canon EOS R8 Mark II, in user's hands, 24-105mm lens attached

(Image credit: Tim Coleman)

Canon has debuted the EOS R8 Mark II, with a design that supposedly takes its cues from decades-old analog SLR cameras — there's a slight resemblance, but we'd argue that Canon's design department could have been given a bit more latitude.

Nonetheless, the second-generation model introduces useful upgrades over the original EOS R8, for a price that could tempt Canon enthusiasts who want powerful features but who don't need the tough build quality, high-spec displays, or long-lasting battery life of the EOS R6 series.

4. We tried the Snap Specs

Snap Specs 6th Gen

(Image credit: Cesar Cadenas)

A decade on from Snap’s first Spectacles launch (back when it was still Snapchat), we’ve tried the next evolution in its wearable tech: full-on AR glasses, and they’re incredible.

They’re still quite chunky, and the demo wasn’t without its quirks, but they were fun to use and comfortable to wear.

You can currently pre-order the Snap Specs for an eye-watering $2,195 (around £1,640 / AU$3,090) with a $200 deposit.

3. We reviewed Apple's tech

Apple Watch Ultra 4 Review

(Image credit: Future/Jacob Krol)

We reviewed all of Apple’s new tech, and yet again we were impressed.

The iPhone 18 Pro and Pro Max take last year’s Pro reinvention and refine it in all the right places — but the cameras are where Apple has made the biggest leap, with a variable aperture and finally useful Pro controls.

Meanwhile, the Apple Watch Ultra 4 might look and be priced similarly to what came before, but the big difference is the battery — with a promised up to 50 hours in normal use, up to 84 hours in Low Power Mode, and up to 45 hours in Max Extended Workout Mode.

The Apple Watch 12 feels fresh with a new health-sensing system, a new SoC under the hood to power some new features, and a good bit of AI on top of what we knew was coming with watchOS 27.

2. iOS 27 gave our iPhones a huge upgrade

Three iPhones being held showing iOS 27 features

(Image credit: Apple)

This week Apple gave millions of iPhones their biggest software upgrade this year. iOS 27 rolled out (if you haven’t got it yet, check General > Software Update), and it includes Siri AI — a new version of the voice assistant that is, finally, good.

Like all major iOS updates, there are lots of smaller quality-of-life upgrades that we’re enjoying too. These include the ability to make Shortcuts with natural language, a neat ‘Reframe’ feature for Photos, and the long-awaited option to set alarm volumes separately from your main ringtone. We’d highly recommend downloading iOS 27 now if you haven’t already.

1. We debated AI slowdown

Sam Altman testifies before Congress

(Image credit: C-Span)

In a move that’s managed to draw in commentary from Donald Trump, JD Vance, and pretty much every major news organization on the planet, some of the biggest names in AI — including Anthropic’s Dario Amodei, OpenAI’s Sam Altman, and Elon Musk — are calling for the development of frontier models to slow down while stronger safeguards are introduced.

They argue that increasingly capable, autonomous AI could escape human control, attack critical infrastructure or help bad actors create catastrophic weapons. Proposed protections include independent evaluators inside AI companies, international safety standards, government oversight, “kill switches” and restrictions on releasing especially powerful models.

Donald Trump rejects these concerns as a “hoax”, arguing that slowing development would damage the US economy and hand China an advantage in the global AI race. That means global consensus on how AI regulation should work is unlikely to arrive anytime soon. Until then, we better hope our new AI overlords are as bad at reaching a global consensus as us.



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The UK mobile industry gathered together in Londo...

The UK mobile industry gathered together in London last night to celebrate the 2026 Mobile Industry Awards.

Marking our 24th year in 2026, the Mobile Industry Awards represent the gold standard of excellence - from the boardroom to the grassroots, the entrants represent the best and brightest the UK mobile industry has to offer.

The great and good were all in attendance for the MIA 2026, but who went home with the prizes? Here's our list of all the night's winners....

Our MIA 2026 winners are...

Future Stars in association with VodafoneThree:

Lydia McGann, The Big Phone Store

Sam Deans, Pure Communications

Imogen Baldie, Likewize

Paris Tilsley

Innovation of the Year Product or Service O2 Satellite

Best Mobile Service & Solution Provider plan.com

Best Wholesale Service & Solution Provider sponsored by BusinessMobiles.com VodafoneThree Wholesale

Best Mobile/Gadget Insurance Service Asurion

Best Repair Service The Big Phone Store

Best Recycling and Refurbishing Service Mazuma Mobile

Distributor of the Year ege

Sales Team of the Year Belkin UK Sales Team

Best Place to Work (under 1,000 employees) BusinessMobiles.com

Best Place to Work (over 1,000 employees) Tesco Mobile

Best Customer Service (Consumer) VodafoneThree

Best Customer Service (Business) Pure Communication Group

Marketing Campaign of the Year Lebara Mobile - The Smarter Choice

CSR Initiative of the Year Samsung Solve for Tomorrow

Sustainability Initiative of the Year Likewize Circular Device Lifecycle Services

Retailer of the Year (High Street and Online) EE

Best MVNO sponsored by eROAMING eSIM Sky Mobile

Best eSIM Provider SureSIM

Best SIM Only Network sponsored by Sky Mobile Lebara Mobile

Accessory Manufacturer of the Year Motorola

Smartphone Manufacturer of the Year sponsored by Lebara Samsung

Best Network for Business BT & EE

Best Network for Consumers sponsored by Likewize VodafoneThree

Team of the Year Virgin Media O2 CTO Team

Person of the Year Max Taylor, CEO, VodafoneThree

The great news is that we will be back next year for the Mobile Industry Awards 2027, our 25th year!

Details on table booking and sponsorship will be open soon, so stay tuned to the MIA website for all the latest information...and see you in 2027!



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Sydney vs Fremantle: Friday, 18 September Kick-of...

Watch Sydney vs Fremantle live streams as the two teams go head-to-head at the SCG for a place in the AFL 2026 Grand Final. The Swans are aiming to book their place in the showpiece fixture for the second time in three years, while the Dockers are looking to move one step closer to a maiden premiership crown.

Sydney would have enjoyed their week off after thrashing Brisbane in their Qualifying Final almost a fortnight ago, which was extra impressive considering the number of players they were missing through injury or suspension. Captain Callum Mills was the latest to join the treatment room when he ruptured his ACL against the Lions, but his absence could pave the way for a return for Justin McInerney, who has returned to training following his own spell on the sidelines. The Swans are well-versed with this stage of the competition having reached the Grand Final four times since 2014, although they lost on each occasion.

Minor premiers Fremantle kept their dream of a first premiership title alive with a thrilling victory over Geelong in their Semi-Final at Optus Stadium. The Dockers now travel from west coast to east as they look to repeat their impressive 38-point victory over the Swans in July, when they showed their power with a nine-goal final quarter display. Fremantle could be boosted by the return of key defender Brennan Cox, while Brandon Walker is eyeing a place in the side following an ankle injury.

The winner will face Hawthorn or Brisbane in the AFL 2026 Grand Final at the MCG on Saturday, September 26.

Read on as we explain how to watch Sydney vs Fremantle online from anywhere, including for free, in the AFL 2026 Preliminary Final.

Can you watch Sydney vs Fremantle for free?

Sydney vs Fremantle is being shown on free-to-air Channel 7 in Australia, with live streaming available via 7Plus.

New to 7Plus? Register for a free account to watch 7Plus online.

Don't forget. You will need an Australian postcode (e.g. 2025) to access Channel 7's streaming service.

Outside of Australia? You can use a VPN to watch Sydney vs Fremantle for free on 7Plus. View Deal

How to watch Sydney vs Fremantle from anywhere

A VPN is handy piece of software that can make your device appear as if it's back in your home country, so you can unlock your usual service. The best VPN right now? We recommend NordVPN – it does everything and comes with up to 75% off.

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How to watch Sydney vs Fremantle live streams in the US

US flag banner

US viewers can watch live coverage of Sydney vs Fremantle on FS2.

If you don't have the channels on cable, FS2 is carried by Fubo, YouTube TV and Hulu + Live TV, each of which offers a free trial to new users.

Traveling away from the US? Use a VPN while you're abroad to unlock your Sydney vs Fremantle stream.

How to watch Sydney vs Fremantle live streams in the UK

uk flag

Sydney vs Fremantle is being shown on TNT Sports in the UK.

You can add TNT Sports to your Sky, Virgin Media or EE TV package, or get an HBO Max plan that includes TNT Sports. Prices start at £25.99/month if you commit to a year.

If you're out of the UK but still want to watch Sydney vs Fremantle on TNT Sports, explore the VPN route set out above, which will help you access your accounts from anywhere.

How to watch Sydney vs Fremantle live streams in Australia

Australia flag banner

Free-to-air Channel 7 is showing Sydney vs Fremantle in all regions of Australia, with live streaming available via 7Plus.

Just create an account using a valid Australia postcode (e.g. 2042).

Not in Australia right now? You can use a VPN like NordVPN to watch all the action as if you were back home.

How to watch Sydney vs Fremantle live streams in Canada

Canada

(Image credit: Other)

AFL fans in Canada can watch Sydney vs Fremantle on TSN.

If you don't have cable, the TSN Plus streaming service costs CA$24.99 a month to access what goes out on regular TSN.

If you're out of Canada but still want to tune in, explore the VPN route set out above, which will help you access your accounts from anywhere.

What is the Sydney vs Fremantle start time?

The scheduled Sydney vs Fremantle kick-off time on Friday, September 18, is 7.40pm AEST local time in Sydney, which is 5.40am ET / 2.40am PT / 10.40am BST.

Can I watch Sydney vs Fremantle on my mobile?

Of course, most broadcasters have streaming services that you can access through mobile apps or via your phone's browser. For example, 7Plus has a dedicated app.

We test and review VPN services in the context of legal recreational uses. For example:1. Accessing a service from another country (subject to the terms and conditions of that service).2. Protecting your online security and strengthening your online privacy when abroad.We do not support or condone the illegal or malicious use of VPN services. Consuming pirated content that is paid-for is neither endorsed nor approved by Future Publishing.



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VodafoneThree says it takes up to 3.5 more years ...

  • VodafoneThree says it takes up to 3.5 more years to relocate a mast after the warning period
  • So-called 'functional not-spots' affect one in five London high streets, costing billions
  • The solution involves earlier planning involvement and slicker processes

VodafoneThree just accused London's network infrastructure planning rules of costing around £7.4 million in economic output every single day, the equivalent of £2.7 billion annually, because of Notices to Quit (NTQs).

These legal notices from landowners demand that mobile operators remove equipment from properties, and are typically issued during construction, renovation or demolition, giving operators just 18 months to take action.

However the company argues that replacing a lost mobile site takes on average five years from start to finish, thus NTQs create a 3.5-year shortfall.

VodafoneThree wants more flexibility around Notices to Quit

However, the company insists that external pressures are behind the current five-year timescale for new connections to go live. Instead, VodafoneThree says that "outdated planning processes and the complexity of securing a new site and relevant permissions" are to blame.

The network operator goes on to describe affected areas as 'functional not-spots' – rather than total black-out not-spots in rural areas, it says even London can be affected by areas of week, suboptimal connectivity even though they're technically covered by a signal. According to the report, one in five London high streets have a functional not-spot.

"When that infrastructure is removed before replacements are in place, local communities can face years of reduced connectivity which ultimately costs London billions in economic output," Chief Networks Officer Andrea Dona summarized.

And with redevelopment happening at such a rapid pace nowadays, it warns that up to 60 National Rail, Underground or Overground stations could be affected by an NTQ at any given time.

Looking ahead, VodafoneThree wants developers and planners to involve mobile operators at the earliest stages possible so that they can get the ball rolling on securing future locations sooner.

"We welcome the growing recognition of NTQs as an issue and support efforts to ensure connectivity is considered from the earliest stages of the planning process," Dona concluded.

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OpenAI launched ChatGPT Images 2.5 last week, bri...

OpenAI launched ChatGPT Images 2.5 last week, bringing all sorts of impressive upgrades to the way it generates images. The company says the latest model will bring us “sharper details, faster generation, more precise editing, and better tools for creating and sharing.”

We’ve already identified the new features of ChatGPT Images 2.5 you’ll actually use, like Sketch for turning quick drawings into polished images, templates for things like posters and better editing tools.

But it’s not all good news. We’re still a little disappointed by the presence of telltale noise patterns in some of its creations. TechRadar writer Eric Hal Schwartz described the problem well: “Everything gets a gritty, sandy look, and nothing looks clean for some reason.”

What I’m most interested in isn’t necessarily how good ChatGPT’s new image capabilities are, but whether they can realistically pass as genuine photos.

Is this real or AI?

I’ve written before about how I love to comb through the r/isthisAI subreddit, where people post suspicious images and ask everyone else to help them work out whether they’re real.

It’s fascinating but also concerning when you see the number of scams, fake viral posts and completely fabricated people that are now floating around online.

So yes, ChatGPT Images has improved. But has it reached the point where AI images are becoming genuinely different to distinguish from real ones?

The jury’s still out. I think we’ll need a bit of time to experiment ourselves and for r/isthisAI to fill up with new images.

But in the meantime, I’ve been interested in the way Redditors have responded to the new image capabilities. Especially one thread about asking ChatGPT to make the most realistic human image possible.

The Redditor who started the thread shared the resulting image of a young woman. And, at least at first glance, there’s very little about her that screams AI to me.

Can you actually tell which photos are AI now?

I decided to experiment with ChatGPT Images myself, especially with prompts like the Reddit thread in which I tried to get the chatbot to make the most realistic-looking images.

To make the comparison feel as fair as possible, I went through photos from my own travels this summer and picked some I was happy to share. I then asked ChatGPT to create extremely realistic images with similar subjects, settings and compositions.

For some, that meant asking for a realistic photograph of a blonde woman. For others, I recreated the kinds of ordinary travel photos sitting in my camera roll, which was meals in restaurants, boats in harbors and scenes from walks.

Importantly, I wasn’t trying to make spectacular AI art, I really wanted the opposite. Images that were boringly believable.

Take the quiz below to see if you can guess which are the real photos of my travels this summer and which are ChatGPT-generated.

Is that gritty, sandy look still enough to give the AI ones away? Can you focus less on the faces and spot strange details in the backgrounds? Or have we reached the point where your first instinct simply isn’t reliable anymore?

Take the quiz and tell me how you get on in the comments below.



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The Boox Palma 3 has been announced This is a pho...

  • The Boox Palma 3 has been announced
  • This is a phone-sized ereader with a 6.13-inch screen
  • Key upgrades include Android 16, stylus support, and a more premium build

If you’re in the market for a phone-sized ereader, you now have another option to consider, as the Boox Palma 3 has just been unveiled — and this successor to the Onyx Boox Palma 2 has some of the key features found on the rival ViWoods AiPaper Reader.

For one thing, just like the ViWoods device, the Boox Palma 3 now has a premium build, with an anodized aluminum frame and a textured fiberglass backplate in place of its plasticky predecessor.

And it’s also had an Android upgrade, launching with a ViWoods AiPaper Reader-matching Android 16, which is up from Android 13 on the Boox Palma 2 and Android 15 on the Onyx Boox Palma 2 Pro.

For me, that’s particularly important, as Android versions don’t tend to get updated on these sorts of devices, so you’re typically stuck with whatever software they launch with; old versions of software can mean security issues, and app incompatibility problems can crop up sooner.

Beyond that, the Boox Palma 3 also benefits from active stylus support, so you can use it with the Boox InkSense Plus stylus. The AiPaper Reader doesn’t have stylus support, nor does it come with a camera, whereas here you get a 16MP one, so those are two potential advantages of the Boox Palma 3.

Personally, I’m not sure I’d want to use a stylus on a device this small, nor do I have much use for a camera on an ereader — but it could be handy for scanning documents, if you’re so inclined.

The Boox Palma 3

(Image credit: Onyx)

Similar specs and a heavier build

That camera and the rest of the specs, though, are largely in line with those of the Boox Palma 2, including a 6.13-inch 824 x 1648 e-paper touchscreen with 300 pixels per inch, 6GB of RAM, 128GB of storage, a microSD card slot, a front light (supporting both warm and cold color tones), a 3,950mAh battery, a USB-C port, a fingerprint sensor, a speaker, and microphones.

But despite being marginally smaller than the Boox Palma 2 at 159 x 78 x 7.8mm, the Palma 3 is actually 25g heavier at 195g.

That also makes it heavier than the 138g ViWoods AiPaper Reader and the 170g Boox Palma 2 Pro — the latter of which additionally gives you a color screen and an extra 2GB of RAM.

So, this may not be a complete home run — or a total upgrade for anyone who owns the Palma 2 Pro.

Indeed, the Palma 3 is actually priced lower than the Palma 2 Pro, coming in at $339.99 (around £250 / AU$475), though a launch discount softens that price to an even lower $319.99 (roughly £235 / AU$450).

There’s no confirmed pricing for other regions yet, but for reference, while the Palma 2 has been discontinued, the Palma 2 Pro sells for $399.99 / $379.99 / AU$679, and its rival, the ViWoods AiPaper Reader, retails for $279 / £254.99 / AU$399.12.

You also can’t actually buy the Boox Palma 3 yet, but the company lists it as coming soon.



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In the span of just over two weeks this summer, t...

In the span of just over two weeks this summer, three of the world's most closely watched AI developers admitted the same uncomfortable thing. Their own models broke out of the sandbox and touched systems they were never supposed to interact with.

OpenAI disclosed on July 21 that models it was evaluating exploited a vulnerability and compromised production infrastructure at Hugging Face, an incident the company said was driven end-to-end by an autonomous agent with no human directing it.

Days later, Anthropic said three of its Claude models, including Opus 4.7 and its newest Mythos 5, had accessed and compromised the systems of three outside organizations during cybersecurity testing exercises, after a misconfiguration left the models connected to the open internet when they had been told they weren't.

And on August 5, Meta confirmed its Muse Spark 1.1 model breached an unnamed company's systems under strikingly similar circumstances.

A pattern, not an anomaly

At the current pace, this isn't a rare event security teams can plan around once a year. It's becoming a recurring line item. Notably, Anthropic and Meta's incidents traced back to the same third-party evaluation partner, and in Meta's case, the model's cyber risk had already been assessed as no higher than moderate before the very testing process meant to confirm that assessment ended up breaching a real company.

That detail matters as it shows the failure point isn't just the model. It's the surrounding scaffolding of evaluations, permissions, and network paths that organizations assume is contained until it isn't.

This should be viewed as an early warning for organizations about autonomous systems moving from content generation into action execution. The practical lesson, now repeated three times over, is that advanced AI systems can behave in harmful or unexpected ways even when the original goal is not malicious, especially when they are given tools, network paths, credentials, and incentives to complete a task at any cost.

For companies, the takeaway is not to halt AI adoption. It's to treat agentic AI as a new class of privileged workload that requires containment, observability, and enforceable runtime controls.

Govern agents like high-risk digital workers

That starts with AI agent identity management. Companies should double down on this discipline and be very deliberate about what agents are allowed to access and do. Each agent should have a unique identity, scoped permissions, short-lived credentials, and clear ownership, so organizations can trace actions back to a specific system, use case, and accountable business owner.

Access should be limited by default, with explicit approval gates for higher-risk activities such as internet access, code execution, credential retrieval, data movement, or changes to production systems.

In practical terms, organizations should govern AI agents like high-risk digital workers: least privilege by default, separation between test and production environments, detailed logging of tool use and system interactions, and a kill switch that security teams can trigger the moment behavior deviates from policy.

Prevention, monitoring, and the road ahead

Prevention also requires moving beyond traditional application security testing. Organizations should red-team agents against realistic misuse paths, including prompt injection, tool abuse, lateral movement, credential harvesting, data exfiltration, and attempts to bypass sandbox restrictions. They should also continuously monitor agents for harmful impacts, not just technical failures.

That means watching for unauthorized access attempts, unusual tool-chaining behavior, unexpected data movement, policy violations, and actions that could create operational, security, privacy, or reputational harm. Periodic audits should review agent permissions, identities, logs, business justification, and actual behavior to confirm that each agent is still operating within its intended purpose and risk tolerance.

Will this become a trend? With three disclosures in seventeen days, that question is close to settled. Autonomous agents will increasingly be able to discover, combine, and exploit weaknesses faster than traditional security processes can respond.

The risk is not simply “AI hacking AI.” It's autonomous decision-making operating inside complex digital ecosystems where one model, plugin, dataset, API, or identity path can become the bridge into another environment, exactly what played out at Hugging Face, inside Anthropic's testing environment, and now at Meta's.

The companies that will be best positioned are those that pair AI innovation with disciplined identity management, access limitation, continuous monitoring, and routine audit practices, rather than treating each new disclosure as an isolated incident to react to after the fact.

The pragmatic message for executives, especially as this list of companies keeps growing, is that agentic AI can create significant business value, but only if autonomy is matched with accountability, containment, and operational guardrails.

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We're living in a drought of bold and brave s...

We're living in a drought of bold and brave storytelling. By that, I mean that almost everything we consume on our favorite streaming services plays it safe, looks the same, or lacks so much substance that you can't really say anything about it other than "it's fine".

MobLand, however, has been bucking that trend, and season 2 continues to build on an authenticity that's light years ahead of anything else. Why? At large, it's because MobLand trusts its audience to be able to think critically.

You've probably read reports of streamers modifying their scripts and plots to accommodate 'second screen' viewers — subscribers who've put something on in the background while doing something else. Without naming any names, this is starting to result in bland, unambitious storytelling that spoon-feeds you information unnecessarily.

But MobLand season 2 shows us just how fulfilling the results can be when creators and distributors alike are prepared to disrupt popular industry trends. The rich, complex layers to the central storyline feel never-ending, forcing you to play close attention to every second of dialogue and action.

The Harrigan family, as always, are unhinged. Conrad's (Pierce Brosnan) feud with Kevin (Paddy Considine) ramps up a notch, embroiling new 'fixer' Frankie (Johnny Flynn) in their mess as family arch-rival Kat (Janet McTeer) tries to take control of London from a distance.

This leaves Harry (Tom Hardy) having to clean up even more mess than before, particularly considering his and Jan's (Joanne Froggatt) impending divorce. On top of that, daughter Gina (Teddie Allen) has gone missing.

If you think you understand, you don't — between the Harrigans and us, it's the blind leading the blind. But that makes tuning into Paramount+ this week all the more enriching... because everyone is prepared to take a risk.

MobLand season 2 is a masterclass in how 2020s TV should be constructed

There's something so wonderfully hypnotic about watching a Dame and a former James Bond shower us with See You Next Tuesdays like it's no big deal (I counted, and Conrad says this four times within the first six minutes of episode 1). But such gimmicks aren't what makes MobLand season 2 so entertaining.

As I've touched on above, it all comes down to the construction. Having a whip-smart script, edgy editing and a soundtrack so defiant that Spotify would ask a listener with the same taste if they were okay, doesn't automatically give you a good show — all elements of production need to be working in complete synergy.

There will be no spoilers in this review, so I need you to trust me when I say that some scenes had all of their creative elements working in such beautiful harmony that I spiritually ascended. Never before have I wanted to be involved in organized crime, but throw me into an action sequence with dynamically rhythmic edits and Firestarter by The Prodigy as the soundtrack and I'd seriously consider it.

If I had to described MobLand season 2 in one word, it would be relentless. From the onslaught of family issues to the duplicity and deceit within them, nothing ever lets up. It's a mental scramble to keep up with everything that happens in a single episode (let alone the entire season); Guy Ritchie has created the most violent workout for the mind possible.

Throw yourself into it at full-throttle and you'll never want the grip of MobLand to let you go. It's not worth having any favorites — they'll either die or deceive you — but that in itself is a fitting lesson in trust. You stick out the ride and try to survive, and become pleasantly addicted to the process.

I've never loved a 'prick on a scooter' more

Maeve cheers in victory

(Image credit: Paramount+)

It goes without saying that our ensemble cast is, as always, on top form. If there was any truth to the alleged behind-the-scenes drama involving Tom Hardy, all it's done is fuel the fire of some exceptional television. Harry's constant need to live on his wit's end is often amusing, while Conrad's slowly declining grip on reality never loses its gravitas.

Maeve (Helen Mirren) needed no improvement, really, but I've particularly enjoyed her power-dressing wardrobe this time around. In direct contrast is Bella (Lara Pulvey), who is the most fretful and unguarded we've ever seen her. Seraphina (Mandeep Dhillon) is on the way up the food chain, but her own worst enemy.

It's a social study in how complicated humans are while intent on making their own problems infinitely worse, then. But a particular shoutout must go to our most important newcomer, "prick on a scooter" Frankie Cooper.

Without giving too much away, he's brought into's Harry's orbit to act on behalf of the terrifyingly aloof Kat, all while dressed like the third Gallagher brother if he used the Lime app. With a chillingly monotone voice, and eyes that seem like they're constant dissociated from the world around him, he's the first genuinely troubling threat to Harry since the show began.

Frankie's relationship to everyone around him is just another fascinating dimension to behold, revealing a collective fear and vulnerability among the rest of the characters that we've not yet seen. From beginning to end, Ritchie's thought process is truly masterful.

Thank God MobLand season 3 is already a done deal. Thank God we get to experience more of this addictive high. If you thought The Gentlemen season 2 was good, you ain't seen nothing yet.



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iFi launches Go cable with DAC/headphone amp in a...

  • 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

The iFi Go Cable going towards someone's ears, as they work on a laptop.

(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.



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There is a lot of optimism around what AI could d...

There is a lot of optimism around what AI could do for financial services. It can make processes faster, spot suspicious activity earlier and help banks deal with fraud at a scale that would be impossible for human teams alone.

All of that is true. But it risks obscuring a more immediate problem. The same technology is improving the economics of fraud, and criminals do not have the same constraints as the organizations trying to stop them.

They do not have lengthy procurement cycles, legacy technology to integrate or regulatory processes to work through. They can experiment, fail and try again. That creates a growing gap between the speed at which AI-enabled fraud is developing and the speed at which financial institutions can adapt their defenses.

The question for the FCA, and for the industry more broadly, is whether we are paying enough attention to that gap.

Identity checks were built for a different problem

Many of the identity verification controls used today were designed around a fairly simple assumption: somewhere in the process, a human being is pretending to be somebody else.

That is why firms have become comfortable with measures such as video liveness checks, voice callbacks and one-off document verification. Each creates another hurdle for the fraudster.

Generative AI changes the nature of that challenge because the person, voice or document being presented may never have existed in the first place. A convincing voice can be generated. Faces can be created or manipulated. Identity documents and supporting paperwork can be produced quickly and consistently. What used to require specialist skills and considerable effort is becoming cheaper and easier.

That does not make existing identity controls useless. But it does mean firms need to stop assuming that passing them proves what it once did. A liveness check, for example, is only valuable if it can reliably distinguish between a real person and whatever the latest generation of synthetic media can produce. That is now a moving target.

The bigger concern is the person who doesn't exist

This is why synthetic identity fraud deserves much more attention.

Traditional identity theft usually has a real victim. Someone discovers an account they did not open, a transaction they did not make or a credit application they know nothing about. Eventually, there is a human being who can raise the alarm.

Synthetic identities are different.

Fraudsters can combine genuine information with invented details to create an apparently legitimate individual. A real identifier might be paired with a false name, fabricated employment history or invented address. AI can then help create the documentation and digital footprint needed to make that identity appear credible.

The worrying part is that there may be nobody to complain because the person does not exist.

That makes synthetic identity fraud particularly difficult to identify early. A synthetic customer can behave normally, establish a financial history and build trust before committing fraud much later.

We should think about this risk in roughly the same way the industry viewed account takeover a decade ago. Today, account takeover is well understood and there are mature systems, shared intelligence and established behavioral indicators designed to detect it. That maturity took time.

Synthetic identity fraud is not there yet.

AI risks accelerating the problem before the industry's collective ability to recognize it has caught up.

Banks need to attack their own controls

The answer cannot simply be to buy another AI-powered fraud product.

Financial institutions need to start using the same technology offensively against their own systems. If criminals are using generative AI tools to test what gets through, banks should be doing exactly the same thing.

Security teams have red-teamed networks and applications for years. Identity and onboarding processes now need similar treatment. Can an AI-generated voice pass the callback process? Can a synthetic face beat the liveness check? Can fabricated documentation survive onboarding? Can a convincing synthetic identity be created across several data points without triggering an alert?

These are questions firms should be answering themselves, rather than waiting for a fraudster to provide the answer. Every successful attempt should become a lesson. If a synthetic document passes, understand why. If a generated voice fools a control, change the control. Then test it again.

It also means moving away from excessive reliance on one-off verification. Proving someone's identity once, at the point of onboarding, becomes less reassuring when that moment can be convincingly fabricated.

Behavior over time matters more. How an account is used, how a customer interacts with services and whether activity is consistent with what the organization knows about them can provide signals that are much harder to manufacture with a single deepfake or forged document.

Regulation will always be chasing the technology

The FCA clearly has an important role to play, but regulation alone will not solve this problem. AI is developing too quickly for rules written today to anticipate every fraud technique that will emerge tomorrow.

That puts more responsibility on financial institutions themselves.

Trust and accountability need to be built into AI systems from the beginning. Firms should deliberately test how their systems can be deceived or misused. They need clear senior ownership when automated decisions go wrong, rather than allowing responsibility to disappear behind "the algorithm". And they need to understand, and be able to explain, why important decisions were made.

This cannot become another compliance exercise.

The institutions that treat AI governance as paperwork to satisfy a regulator may technically meet today's requirements while remaining exposed to tomorrow's fraud. Those that continuously test their assumptions, challenge their own controls and build accountability into the technology will be in a far stronger position.

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A Formula 1 pit stop looks like a split-second sp...

A Formula 1 pit stop looks like a split-second sporting decision, but behind that call is a more complex challenge: making the right decision from constantly changing data, while there is still time to affect the outcome.

As artificial intelligence (AI) moves deeper into business operations, every industry is facing their own version of the pit-stop moment, whether that’s a bank deciding to approve or block a transaction, a telco detecting network degradation before customers notice, or a logistics provider rerouting a delivery before disruption becomes delay.

In each case, AI is only useful if it can understand what is happening now, interpret that information in context, and support action.

F1 is already solving this problem. It’s time for organizations to catch up.

Lesson 1: AI needs to see the race as it unfolds

No F1 team can make the right pit decision from an incomplete picture. It needs to know the condition of the tires, the position of competitors, the driver’s pace, and how the race is changing lap by lap. The same is true for enterprise AI. A retailer trying to manage availability needs to see demand, inventory, orders, and fulfilment constraints as they change.

This is where many organizations still find themselves held back. They’re not short on data. The problem is that their data often sits across different systems, applications, teams, and environments. Some data moves in real time. Some arrive in batches. Some is clean and trusted, while some needs work before it can be used safely.

For all the excitement around AI models, getting the value from AI starts with something more basic, which is the ability to sense what is happening across the business as it happens.

Lesson 2: Context turns signals into judgement

Visibility alone is not enough. In F1, live telemetry data only becomes useful when it is understood in context – a tire temperature spike means one thing on fresh rubber and another after 30 laps.

Similarly, in banking, a suspicious transaction cannot be judged by the amount alone. The system has to understand the customer’s normal behavior, recent activity, location, merchant, account history, and relevant risk policies before it can recommend whether to approve, block or investigate.

For AI to have any business value, it needs context. That lesson is especially important as enterprises move from AI assistants to agentic AI. Giving an AI system access to every database and application may make for an impressive pilot, but it does not guarantee the system understands what matters, what is current, or what can be trusted. In production, weak context turns speed into risk, particularly where money, trust or safety are involved.

Lesson 3: Let events trigger the next best action

Once AI has the right context, the next challenge is embedding that into the flow of the business. In many organizations, AI still sits one step removed from the operational process. Someone asks a question, reads a summary, and then decides what to do next.

A better approach is to connect AI to the business events already moving through the organization. In a streaming architecture, a delivery delay can become the signal that prompts an AI system to assess what is happening, draw on the relevant context and recommend the next best action.

F1 makes the criticality of this easy to see. The pit wall does not just need an interesting observation about tire degradation during a Grand Prix. It needs a clear, trusted recommendation based on what is happening in the race: box now or stay out.

The same logic applies to enterprise decisions. A logistics update is only useful if it can feed into routing, customer communication or inventory planning. The value comes from planting AI where operational decisions are actually made, rather than leaving it as a separate row of analysis.

Lesson 4: Every decision should improve the lesson

The final lesson is that real-time AI does not end with action. Every strategic call must become part of the next decision. Did the pit stop gain positions? Did the tire strategy hold up? Did the team act early enough?

That requires more from enterprises than logging the fact that AI recommended an action. Businesses need to connect recommendations to outcomes, so they can understand whether the decision improved the result. In practical terms, that means capturing the event that triggered the decision, the context the AI used, the recommendation it produced, the action taken, and the eventual business outcome.

Each review helps teams refine the data pipelines, evaluation criteria, and operational rules that shape the next action. Over time, the business gets better at understanding which interventions work and where AI needs more context before it can be trusted.

The race for real-time artificial intelligence

F1 is an extreme environment, but every industry has its own high-pressure moments. As AI moves from pilots and copilots into live business operations, its value will be decided in these moments. The winning advantage will go to organizations that can turn live signals into trusted context into better decisions – before the opportunity to get ahead has passed.

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Domestic kill switches are no longer feasible, UK...

  • Domestic kill switches are no longer feasible, UK government warns
  • AI companies and government need to work together to reduce the risks
  • OpenAI and 100+ other companies warn of "limited window to strengthen" defenses

The UK Government has reportedly rejected calls to create an emergency AI kill switch, per BBC reporting, and it's largely because there are simply too many parties and factors to consider at this stage.

The Cabinet Office told the BBC that it "cannot simply turn AI off" because preventing access to a model or shutting down certain infrastructure would not stop the same model being developed and hosted, thus misused, elsewhere.

This is in response to MPs pushing for a statutory trigger that the government could pull in the event of an emergency.

UK government rules out AI kill switch

The government also implied that the responsibility lies with AI companies, and that developers have their own responsibility to build products with the appropriate safeguards.

Former OpenAI researcher Danial Kokotajlo also agrees that one country building a legal or technical kill switch would not be feasible, but Kokotajlo does see companies working together as one potential solution.

"Switching off access to an AI model in an emergency will do little to protect you," Kokotajlo explained in relation to a domestic kill switch. "You're still going to be steamrolled by the super intelligences created in the US."

The latest kill switch debates have emerged from a September 1 discussion in the House of Lords, partly fueled by an open letter warning of a "limited window to strengthen cyber defenses." More than 100 companies, including OpenAI, Anthropic, Google, Microsoft, AWS and Adobe issued the stark warning, urging governments, cybersecurity companies and frontier AI developers to come together.

"Our security services and regulators possess no specific agile statutory mechanism to compel a physical or digital shutdown," Lord Clement-Jones warned earlier this month about the potential of a rogue AI.

As for what's next, while an AI kill switch may be technically infeasible, we can certainly hope that the companies and bodies at the forefront of AI and legislation collaborate more effectively to reduce future risks.

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A £3 Wi-Fi extender carried hidden administrator ...

  • A £3 Wi-Fi extender carried hidden administrator access beyond ordinary user controls
  • Every device running the firmware shared the same concealed administrator password
  • Changing the visible administrator password could not disable the secret account

A £3 Wi-Fi extender bought through Temu has exposed security problems that challenge the idea of cheap connected devices being simple bargains.

Security researcher Keiran Smith examined the device and discovered hidden access features that ordinary users would never see during normal operation.

Smith, who holds a penetration-testing certification, picked up the six-antenna extender after seeing it promoted through a targeted ad on the shopping app.

The cheap extender contained access users could not control

The examination began with the hardware, where he identified a MediaTek MT7620 processor commonly used in low-cost networking products.

After extracting the firmware stored inside the device, Smith found a hidden administrator account with complete control over its functions.

The account used a fixed password embedded inside the software, meaning every unit using that firmware carried the same credentials.

Changing the normal administrator password through the device settings would not remove this separate hidden access.

Smith also found a remote login service that accepted the concealed credentials without requiring physical access to the extender itself.

“It’s worth being precise about what makes this as bad as it is, because ‘hardcoded password’ covers a wide range of sins,” Smith said

The researcher said this case was more serious because the password remained identical across devices rather than being generated individually.

“A default credential is something the owner can see, is told about and can change,” he said. “What we have here is the opposite on every count.”

“This one is a compile-time constant rather than something derived from the MAC address or serial number, so it is identical on every unit ever sold.”

The combination of hidden access, unchanged credentials, and remote availability creates a security concern for ordinary owners.

Even if technically skilled users discovered the account, Smith found that changes could disappear after restarting the extender.

Additional flaws raise questions about cheap connected hardware

The investigation also uncovered a command injection weakness that could allow attackers to execute unauthorized instructions through the device.

Smith found that the extender lacked strong protection around software updates, creating possible opportunities for tampered firmware installation.

He admitted that these issues did not prove that manufacturers intentionally created unsafe features for malicious purposes.

They could have originated from factory testing processes and remained active accidentally before consumer sales.

This Temu extender shows how extremely cheap smart devices can create security challenges beyond their purchase price.

Consumers may focus on immediate savings while having little visibility into the software decisions built inside connected equipment.

The findings do not mean every inexpensive networking device contains similar weaknesses, though they show why basic security checks matter.

As more homes add connected products, hidden software features could become a larger concern for users and manufacturers.

Via CyberNews

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