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Leaked Galaxy Z Fold 8 images show a shorter, wider design, upgraded specs, and a possible Ultra model ahead of Samsung Unpacked.

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• Ernst & Young confirms breach via a third‑party IT service management platform, exposing client tax data between March 28 and April 12, 2026
• Attackers accessed documents tied to tax support tickets; exact scope and affected clients remain undisclosed, with no dark web leaks or group claims so far
• EY activated incident response, secured systems, and is offering 24 months of Experian identity monitoring to impacted customers

Ernst & Young (EY) has confirmed suffering a cyberattack in which it lost sensitive customer information, including tax data.

In a data breach notification letter sent to affected individuals, the firm said that on April 23, 2026, it spotted “anomalous activity” within a third-party platform its IT team uses. This is an IT service management platform that helps EY staff support the teams that perform tax-related work for clients. Therefore, the tickets submitted through this platform sometimes also contain documents with client tax information which may have been exposed in the incident.

EY then activated its incident response protocols, bringing in third-party cybersecurity experts, as well as notifying relevant authorities and affected clients.

Free identity theft protection

Further investigation determined that the unnamed threat actors broke in on March 28, 2026 and have, until April 12, been exfiltrating the files. EY did not say exactly which information was pulled, or how many clients were affected. We also don’t know if this only pertains to US clients, or overseas ones, as well. The attackers have, since then, been removed from EY’s virtual premises, and the systems have been secured, the company confirmed.

So far, no hacking groups claimed responsibility for this attack, and the data is yet to surface anywhere on the dark web. EY’s customers should be on the lookout for unsolicited emails, especially those claiming to be from the professional services giant.

To help them stay secure, EY is offering 24 months of free identity monitoring and restoration services through Experian.

Ernst & Young is one of the "Big Four" largest professional services and accounting networks in the world. It is headquartered in London, but operates as a global network of independent members spanning more than 150 countries and employing more than 400,000 people. The company’s core business includes assurance, tax, consulting, and M&A strategy.

Via BleepingComputer

• YouTube picture-in-picture on mobile is broken for some
• The feature was made available to all users earlier this year
• Google says it's looking into the issue and working on a fix

YouTube picture-in-picture (PiP) mode on Android and iOS is one of the most useful features the app offers — available to all users now, Premium or otherwise — but a widespread bug seems to have broken the functionality on phones.

As reported by 9to5Google, there are multiple reports of PiP mode failing to activate when the YouTube app is exited. The audio keeps playing in the background, but there's no sign of the small video overlay.

We've had mixed experiences with this on the TechRadar team: for some it's working fine, for others it's broken. However, it's definitely a genuine problem for some users at least, because Google has acknowledged there is a bug.

"Our teams are actively investigating the issue, and we'll update this thread as soon as we have more information," explains a Google representative, saying that while most bug reports are coming from iPhone owners, the issue is also appearing on Android.

What happens next?Picture In Picture mode from r/youtube

We've scoured the YouTube Help forums and Reddit, and so far there doesn't seem to be any proper workaround for the problem. If it's something you're experiencing, you're just going to have to wait it out until Google issues a fix.

According to the Reddit threads that have popped up discussing the bug, it's affecting both free users and those paying for Premium, so you're not going to be able to bring back PiP by giving the paid subscription a go.

One poster reports that the feature has been "acting up for several weeks" and that PiP sometimes works and sometimes doesn't. If that's the case it might be worth rebooting your phone and trying again — though there's no guarantees.

The best place to look for updates on PiP functionality is the official thread for the issue on the YouTube Help forum. Hopefully, with Google's engineers on the case, it's a bug that gets sorted out sooner rather than later.

Kapwing is among the best AI video editors today. It allows you to create videos with simple text prompts and generate lively AI characters to build detailed storylines.

Trusted by brands like Google, Dyson, and Spotify and used by thousands of content creators across YouTube, TikTok, and digital marketing platforms, Kapwing has quickly grown to become one of the industry’s favorite video generation and editing software.

In this article, we put Kapwing to the test to see whether its features perform as advertised. Read on to learn about our real-world experience with Kapwing, its best features, and the alternatives worth considering if it doesn’t fit your needs.

Kapwing: Plans and pricing

You can get started with Kapwing through its free-forever plan, which allows up to 30 minutes of video exports per month in 720p resolution, with each video limited to a maximum length of one minute. There’s also a 2GB file upload limit, along with access to editing and AI-powered tools such as auto-subtitling, auto-translation, and text-to-speech, albeit with limited usage caps.

We also like that you get a fair share of collaboration features, such as project link sharing and commenting, allowing you to edit videos collaboratively with your team. However, the free plan is meant primarily for testing the platform rather than full-fledged use.

If you want to get the most out of Kapwing, you’ll have to upgrade to one of its paid plans. Its Pro plan starts at $16 per member per month and offers excellent value for money. The plan supports 4K video exports with unlimited monthly exports and a maximum video length of 120 minutes.

You can check it all out by clicking here.

(Image credit: Kapwing)

The AI editing tools also come with higher usage limits. For example, you get up to 1,000 minutes of auto-subtitling and 500 minutes of auto-translation per month. Besides this, the plan adds several premium tools, including video and image background removal, video stabilization, and the ability to add your brand kit and custom fonts to your projects.

Next is the Business plan, designed for teams that need more advanced content creation workflows. Costing $50 per member per month, it includes up to 4,000 minutes of auto-subtitling, 2,000 minutes of auto-translation, 2,000 minutes of Clean Audio per month, and 130 minutes of Lip Sync. The remaining features are largely the same as those in the Pro plan.

Finally, there’s an Enterprise plan for large organizations that need priority support and custom billing. However, you’ll need to contact the Kapwing team directly to obtain a customized quote.

Kapwing: Features

Kapwing packs a good mix of both AI-powered and traditional video editing features. Let’s start with its AI capabilities. Right off the bat, you’ll notice that you can generate AI videos with a simple text prompt. Its video generation interface is pretty similar to that of chatbots like ChatGPT or Gemini. You simply enter your prompt and click the Send button. You can also attach media as a reference for the AI engine.

Besides video generation, Kapwing offers several other AI tools. For instance, Translate Video lets you convert the audio in a video from one language to another. There’s also a handy Smart Cut feature, which automatically removes awkward silences from your videos, giving them a more polished finish. You can also generate AI characters, which come in handy if you want to build a consistent storyline or reuse the same character across multiple AI-generated videos.

Kapwing gives you more options when generating AI characters. To get started, click the @ icon in the chat window and select the type of character you want to generate. The available options range from everyday characters like a baby or a cheerleader to more outlandish ones such as a cyborg, Dracula, or a dragon.

You also have the option to choose more than one character type. For instance, you can select both "baby" and "Dracula" if you’re trying to create something unique. Here’s the Baby Dracula character we created using Kapwing.

(Image credit: Future)

Apart from this, you’ll find several other options, such as Image to Video, which lets you convert a still image into a short video clip, and Text to Video, where you can enter a full-fledged script and allow Kapwing to generate an AI video for you. There’s also a handy Video Stabilizer tool, which is useful for fixing shaky footage or videos with heavy motion blur.

For longer video formats, Kapwing also supports Video Storyboards, where you can create a timestamped outline of every scene. The more traditional tools include text-to-speech, video dubbing in 40+ languages, resizing videos from one aspect ratio to another, and adding subtitles to videos.

Kapwing: Interface and in use

Almost all of Kapwing’s features are nestled into a central dashboard, with the video editor in the center, a long list of features on the left-hand panel, and an editing panel on the right. You can simply upload your media or drag and drop any video or image you want to edit. After that, you may need to spend a little time exploring the interface to find the exact feature you’re looking for.

For instance, you can access features such as Text, Audio, Subtitles, Transcript, Translate, AI Voice, and more directly from the left-hand panel. There’s also a help function that helps you quickly locate settings you can’t find right away.

(Image credit: Future)

The editing experience was pretty smooth. For instance, we tried adding text to an AI-generated image, and the process was seamless. We could easily change the font, color, size, and other formatting options from the panel on the right.

Note that the right-hand panel changes dynamically depending on the tool you’re using. For example, if you select Translate, you’ll see language options appear on the right.

Overall, like any video editing software, Kapwing comes with a slight learning curve. However, in our experience, it was much easier to use than many legacy editing tools. The interface is modern, sleek, and highly responsive. We didn’t experience any system lag or timeouts during our testing.

(Image credit: Future)

In addition to the main editing window, there is also a dedicated My Workspace page in Kapwing. Here, you can find all your recent projects at the bottom, along with a dedicated set of tools highlighted on the main page. If you’re using a Business plan, you’ll also see your team folders on the left-hand panel. Similarly, Settings, Brand Kit, and your Media Library are all accessible from the same panel.

Kapwing: How we tested

We tested the free version of Kapwing across multiple accounts to evaluate its AI capabilities more thoroughly. To start, we tried generating an AI video using the following prompt:

“A woman in a red coat walks across a rain-soaked city street at night, neon signs reflecting in the puddles, camera slowly tracking alongside her.”

(Image credit: Future)

Kapwing got to work as soon as we hit Send, first generating a summary of the scene we wanted to create. After that, it produced a five-second video within seconds. Although Kapwing indicated that the video would be seven seconds long, the actual output was five seconds.

(Image credit: Future)

We then edited the same video using Kapwing’s video editor, experimenting with features such as adding text, audio, and subtitles. Since the free plan is fairly limited, we had to use more than two accounts to fully test its capabilities.

What stood out to us was how quickly Kapwing generated both edits and the source video. Everything was processed quickly, which is a clear advantage.

Kapwing: Alternatives

While Kapwing is a capable AI video generator and editor, it is not the most affordable option out there. For instance, Adobe Firefly costs $8.49 per month when billed annually and comes with features comparable to Kapwing. You get access to popular video models such as Google Veo 3.1 and Runway Gen-4.5, allowing you to create up to 50 and 11 videos, respectively.

Adobe Firefly truly shines with its workflow features, allowing creative teams to brainstorm visual concepts on virtual boards. You can also process thousands of files at once using bulk actions such as removing backgrounds or cropping images. That said, Firefly lags a bit behind when it comes to video editing, as many of its editing features are still in beta.

It's also not ideal for long-form content generation, as most models cap video lengths at three to five seconds. On the bright side, you also get access to Adobe Express Premium and Photoshop with all paid plans.

Veed is another capable competitor, with prices starting at $12 per month, roughly 20% cheaper than Kapwing. It also offers a free plan, which appears to be more generous than Kapwing’s. For instance, you can try features like removing silences, background removal, auto-edits, social media character generation, and voice cloning on Veed’s free plan – most of which are not available on Kapwing’s free tier.

Kapwing: Final verdict

Kapwing is one of the best AI video generation and editing platforms available, with a strong mix of both traditional and AI-powered tools. Not only can you generate AI videos from simple prompts, but you can also transcribe videos, translate them into 40+ languages, create AI characters, and edit videos from a central dashboard.

Kapwing is also easier to use than many other platforms on the market, although there is still a slight learning curve involved. That said, there are plenty of video tutorials and help center articles available to help users get through this phase.

However, Kapwing can be a bit on the expensive side, especially for personal users, which is why you may want to consider alternatives like Adobe Firefly or Veed.

We've tested, reviewed, and rated a range of video makers and editors, including the best video editing software, the best video editing apps and the best free video editing software.

Kapwing is among the best AI video editors today. It allows you to create videos with simple text prompts and generate lively AI characters to build detailed storylines.

Trusted by brands like Google, Dyson, and Spotify and used by thousands of content creators across YouTube, TikTok, and digital marketing platforms, Kapwing has quickly grown to become one of the industry’s favorite video generation and editing software.

In this article, we put Kapwing to the test to see whether its features perform as advertised. Read on to learn about our real-world experience with Kapwing, its best features, and the alternatives worth considering if it doesn’t fit your needs.

Kapwing: Plans and pricing

You can get started with Kapwing through its free-forever plan, which allows up to 30 minutes of video exports per month in 720p resolution, with each video limited to a maximum length of one minute. There’s also a 2GB file upload limit, along with access to editing and AI-powered tools such as auto-subtitling, auto-translation, and text-to-speech, albeit with limited usage caps.

We also like that you get a fair share of collaboration features, such as project link sharing and commenting, allowing you to edit videos collaboratively with your team. However, the free plan is meant primarily for testing the platform rather than full-fledged use.

If you want to get the most out of Kapwing, you’ll have to upgrade to one of its paid plans. Its Pro plan starts at $16 per member per month and offers excellent value for money. The plan supports 4K video exports with unlimited monthly exports and a maximum video length of 120 minutes.

You can check it all out by clicking here.

(Image credit: Kapwing)

The AI editing tools also come with higher usage limits. For example, you get up to 1,000 minutes of auto-subtitling and 500 minutes of auto-translation per month. Besides this, the plan adds several premium tools, including video and image background removal, video stabilization, and the ability to add your brand kit and custom fonts to your projects.

Next is the Business plan, designed for teams that need more advanced content creation workflows. Costing $50 per member per month, it includes up to 4,000 minutes of auto-subtitling, 2,000 minutes of auto-translation, 2,000 minutes of Clean Audio per month, and 130 minutes of Lip Sync. The remaining features are largely the same as those in the Pro plan.

Finally, there’s an Enterprise plan for large organizations that need priority support and custom billing. However, you’ll need to contact the Kapwing team directly to obtain a customized quote.

Kapwing: Features

Kapwing packs a good mix of both AI-powered and traditional video editing features. Let’s start with its AI capabilities. Right off the bat, you’ll notice that you can generate AI videos with a simple text prompt. Its video generation interface is pretty similar to that of chatbots like ChatGPT or Gemini. You simply enter your prompt and click the Send button. You can also attach media as a reference for the AI engine.

Besides video generation, Kapwing offers several other AI tools. For instance, Translate Video lets you convert the audio in a video from one language to another. There’s also a handy Smart Cut feature, which automatically removes awkward silences from your videos, giving them a more polished finish. You can also generate AI characters, which come in handy if you want to build a consistent storyline or reuse the same character across multiple AI-generated videos.

Kapwing gives you more options when generating AI characters. To get started, click the @ icon in the chat window and select the type of character you want to generate. The available options range from everyday characters like a baby or a cheerleader to more outlandish ones such as a cyborg, Dracula, or a dragon.

You also have the option to choose more than one character type. For instance, you can select both "baby" and "Dracula" if you’re trying to create something unique. Here’s the Baby Dracula character we created using Kapwing.

(Image credit: Future)

Apart from this, you’ll find several other options, such as Image to Video, which lets you convert a still image into a short video clip, and Text to Video, where you can enter a full-fledged script and allow Kapwing to generate an AI video for you. There’s also a handy Video Stabilizer tool, which is useful for fixing shaky footage or videos with heavy motion blur.

For longer video formats, Kapwing also supports Video Storyboards, where you can create a timestamped outline of every scene. The more traditional tools include text-to-speech, video dubbing in 40+ languages, resizing videos from one aspect ratio to another, and adding subtitles to videos.

Kapwing: Interface and in use

Almost all of Kapwing’s features are nestled into a central dashboard, with the video editor in the center, a long list of features on the left-hand panel, and an editing panel on the right. You can simply upload your media or drag and drop any video or image you want to edit. After that, you may need to spend a little time exploring the interface to find the exact feature you’re looking for.

For instance, you can access features such as Text, Audio, Subtitles, Transcript, Translate, AI Voice, and more directly from the left-hand panel. There’s also a help function that helps you quickly locate settings you can’t find right away.

(Image credit: Future)

The editing experience was pretty smooth. For instance, we tried adding text to an AI-generated image, and the process was seamless. We could easily change the font, color, size, and other formatting options from the panel on the right.

Note that the right-hand panel changes dynamically depending on the tool you’re using. For example, if you select Translate, you’ll see language options appear on the right.

Overall, like any video editing software, Kapwing comes with a slight learning curve. However, in our experience, it was much easier to use than many legacy editing tools. The interface is modern, sleek, and highly responsive. We didn’t experience any system lag or timeouts during our testing.

(Image credit: Future)

In addition to the main editing window, there is also a dedicated My Workspace page in Kapwing. Here, you can find all your recent projects at the bottom, along with a dedicated set of tools highlighted on the main page. If you’re using a Business plan, you’ll also see your team folders on the left-hand panel. Similarly, Settings, Brand Kit, and your Media Library are all accessible from the same panel.

Kapwing: How we tested

We tested the free version of Kapwing across multiple accounts to evaluate its AI capabilities more thoroughly. To start, we tried generating an AI video using the following prompt:

“A woman in a red coat walks across a rain-soaked city street at night, neon signs reflecting in the puddles, camera slowly tracking alongside her.”

(Image credit: Future)

Kapwing got to work as soon as we hit Send, first generating a summary of the scene we wanted to create. After that, it produced a five-second video within seconds. Although Kapwing indicated that the video would be seven seconds long, the actual output was five seconds.

(Image credit: Future)

We then edited the same video using Kapwing’s video editor, experimenting with features such as adding text, audio, and subtitles. Since the free plan is fairly limited, we had to use more than two accounts to fully test its capabilities.

What stood out to us was how quickly Kapwing generated both edits and the source video. Everything was processed quickly, which is a clear advantage.

Kapwing: Alternatives

While Kapwing is a capable AI video generator and editor, it is not the most affordable option out there. For instance, Adobe Firefly costs $8.49 per month when billed annually and comes with features comparable to Kapwing. You get access to popular video models such as Google Veo 3.1 and Runway Gen-4.5, allowing you to create up to 50 and 11 videos, respectively.

Adobe Firefly truly shines with its workflow features, allowing creative teams to brainstorm visual concepts on virtual boards. You can also process thousands of files at once using bulk actions such as removing backgrounds or cropping images. That said, Firefly lags a bit behind when it comes to video editing, as many of its editing features are still in beta.

It's also not ideal for long-form content generation, as most models cap video lengths at three to five seconds. On the bright side, you also get access to Adobe Express Premium and Photoshop with all paid plans.

Veed is another capable competitor, with prices starting at $12 per month, roughly 20% cheaper than Kapwing. It also offers a free plan, which appears to be more generous than Kapwing’s. For instance, you can try features like removing silences, background removal, auto-edits, social media character generation, and voice cloning on Veed’s free plan – most of which are not available on Kapwing’s free tier.

Kapwing: Final verdict

Kapwing is one of the best AI video generation and editing platforms available, with a strong mix of both traditional and AI-powered tools. Not only can you generate AI videos from simple prompts, but you can also transcribe videos, translate them into 40+ languages, create AI characters, and edit videos from a central dashboard.

Kapwing is also easier to use than many other platforms on the market, although there is still a slight learning curve involved. That said, there are plenty of video tutorials and help center articles available to help users get through this phase.

However, Kapwing can be a bit on the expensive side, especially for personal users, which is why you may want to consider alternatives like Adobe Firefly or Veed.

We've tested, reviewed, and rated a range of video makers and editors, including the best video editing software, the best video editing apps and the best free video editing software.

Iniu SnapGo Air 10000mAh Power Bank review

The Iniu SnapGo Air 10000mAh Power Bank is a svelte, pocketable MagSafe power bank. Not only does it include two USB-C ports that can muster up to 45W charging solo or 15W together, it can also charge 25W wirelessly and comes with a discrete cable that doubles up as its handle.

When it comes to looks, the majority of power banks usually take the form of functional cuboids. However, the SnapGo Air 10000mAh Power Bank actually feels like it has some personality. To start, it's available in a range of colorways: Soft Lilac and Sunset Orange are seriously eye-catching, while I love the fact that the Metallic Mocha hue I tested here matches my Desert Titanium iPhone 16 Pro.

There are more practical design flourishes, too. The SnapGo Air 10000mAh Power Bank is super slim compared to many of the best power banks. It measures just 0.5 inches / 13.8mm thick, which is almost half the thickness of my chunky 0.91 inch / 23mm Ugreen 10000mAh Magnetic Wireless Power Bank, and even slimmer than the 0.58 inch / 14.7mm Anker MagGo Power Bank (10K, Slim). The SnapGo Air is a little wider as a result, measuring 2.76 x 4.13 inches / 70 x 105mm, but by having the MagSafe connection extend out a tiny bit from the power bank’s bezel, it keeps its height to a minimum.

As I mentioned, another neat touch is the doubling of the Iniu’s braided USB-C cable as the power bank’s loop. While this isn’t a unique feature by any means — for example, the recent UGreen 10,000mAh Magnetic Wireless Power Bank Qi2 25W utilizes a similar system — it's far more convenient than having to bring a separate cable with you, and makes it easier should you want to opt for that 45W fast-charging over the slower 25W MagSafe charging.

Like a lot of the newer power banks, the SnapGo Air also features an LCD screen, which displays the battery’s remaining charge. This is far more useful than those models that only have a series of LEDs to indicate battery status, where you're left guessing whether the power bank has 51% or 74% charge left. The display here is subtle, tucked away down by the device’s two USB-C ports, and I really appreciate the more granular insight it provides on the juice left in my device.

(Image credit: Future)

So how does it perform? Perhaps, unsurprisingly, pretty well! That 45W max charging isn’t unheard of, but it still beats a number of devices, with many higher output models likely to cost you a lot more — although the Anker 20,000mAh 87W Power Bank is currently available for a steal at just $69.99 / £49.99 / AU$119.99. MagSafe charging is capped at 25W by Apple, so naturally you won’t get a huge variation in charging speed there; but the reality is you're trading speed for convenience with wireless charging.

In terms of the numbers, I first put the SnapGo Air to the test by fully charging the 5,200mAh battery of the OnePlus Nord CE5 from 0% to 100% using its 45W charging. That took 1 hour and 24 minutes, which is pretty much bang on what I’d expect given the phone’s capacious battery. Unfortunately, only 29% of the Iniu’s 10,000mAh capacity remained after charging, which is a significant drop.

Meanwhile, when I used its MagSafe charging to juice up an 3,095mAh iPhone 13 Pro, it took 2 hours and 25 minutes — that’s considerably slower, but not surprising given the max wattage available to the iPhone 13 Pro during MagSafe charging is just 15W.

When it comes to powering the SnapGo Air back up, its 27W charging saw this take just 1 hour and 46 minutes. Given its 10,000mAh total capacity, that isn't bad — there are phones with batteries half that size that take nearly as long to charge up.

All told, the Iniu SnapGo Air 10000mAh Power Bank is a pretty strong power bank. It charges your devices fast, whether you’re using its built-in cable or 25W MagSafe charging; its LCD screen is super useful; and the unit itself is nicely compact. Moreover, it’s a seriously stylish power bank in a market crammed with charcoal-hued cuboids, yet comes in at a very reasonable price. Ultimately, it’s a very hard product to find fault with.

(Image credit: Future)Iniu SnapGo Air 10000mAh Power Bank review: price & availability

• Launched on May 15, 2026
• List price of $54.99 / £49.99 / AU$69.99
• Range of attractive colorways

Having launched on May 15, 2026, the Iniu SnapGo Air 10000mAh Power Bank is widely available. It comes in a great range of colors — alongside Lunar Silver and Space Gray are a medley of iPhone-mimicking hues such as Midnight Navy, Metallic Mocha and Sunset Orange.

You can pick it up for a list price of $54.99 / £49.99 / AU$69.99, which is pretty keenly priced given its spec. For example, the Anker MagGo Power Bank (10K, Slim) can only muster 30W over a wired connection, compared to the Iniu’s 45W, yet costs $79.86 / £69 / AU$97.99, showing what a good deal the Iniu SnapGo Air actually is.

(Image credit: Future)Iniu SnapGo Air 10000mAh Power Bank review: specs

Capacity

10,000mAh

Total wattage

45W wired / 25W wireless

Number of ports

2

Port type(s)

USB-C (2x input/output) + Detachable GoCord USB-C cable

Wireless charging

Yes, Qi2.2 certified (Up to 25W magnetic)

Weight

196g / 6.9 oz

Dimensions

4.2 x 2.8 x 0.5 inches / 10.7 x 7.1 x 1.38 cm

(Image credit: Future)Should I buy the Iniu SnapGo Air 10000mAh Power Bank?Buy it if…

You want seriously fast charging
For a power bank this compact, it’s rare you’ll find charging speeds faster than its 45W. Able to top up a 5,200mAh phone in 1 hour and 24 minutes using its cable, it’s an impressively speedy power bank.

You’re fed up of drab-looking power banks
Arriving with an LCD screen and in a range of gorgeous colors that include everything from the iPhone mimicking Metallic Mocha or Sunset Orange to Soft Lilac or Space Gray, the Iniu sure is a looker.

Don’t buy it if…

You have a phone capable of ultra-fast charging
If your phone can handle more than 45W — for example, the OnePlus 15 with its ludicrous 120W charging — you might want to consider a power bank that offers faster charging speeds.

You want to be able to charge your phone multiple days running
At 10,000mAh, the SnapGo Air will comfortably charge most phones more than once. But if you’re going away for days and will need multiple charges, you might find a larger capacity is a better fit.

Iniu SnapGo Air 10000mAh Power Bank review: also consider

Anker 737 Power Bank (PowerCore 24K)
If you need to top up your phone more than once or your phone is capable of ultra-fast charging, the Anker 737 Power Bank (PowerCore 24K) is definitely worth considering. It has a huge 24,000mAh capacity, which would allow you to top up most phones around four times, while that insane 140W charging can rapidly juice up even the thirstiest phones on the market. Read our full Anker 737 Power Bank (PowerCore 24K) here.

Iniu SnapGo Air 10000mAh Power Bank review

The Iniu SnapGo Air 10000mAh Power Bank is a svelte, pocketable MagSafe power bank. Not only does it include two USB-C ports that can muster up to 45W charging solo or 15W together, it can also charge 25W wirelessly and comes with a discrete cable that doubles up as its handle.

When it comes to looks, the majority of power banks usually take the form of functional cuboids. However, the SnapGo Air 10000mAh Power Bank actually feels like it has some personality. To start, it's available in a range of colorways: Soft Lilac and Sunset Orange are seriously eye-catching, while I love the fact that the Metallic Mocha hue I tested here matches my Desert Titanium iPhone 16 Pro.

There are more practical design flourishes, too. The SnapGo Air 10000mAh Power Bank is super slim compared to many of the best power banks. It measures just 0.5 inches / 13.8mm thick, which is almost half the thickness of my chunky 0.91 inch / 23mm Ugreen 10000mAh Magnetic Wireless Power Bank, and even slimmer than the 0.58 inch / 14.7mm Anker MagGo Power Bank (10K, Slim). The SnapGo Air is a little wider as a result, measuring 2.76 x 4.13 inches / 70 x 105mm, but by having the MagSafe connection extend out a tiny bit from the power bank’s bezel, it keeps its height to a minimum.

As I mentioned, another neat touch is the doubling of the Iniu’s braided USB-C cable as the power bank’s loop. While this isn’t a unique feature by any means — for example, the recent UGreen 10,000mAh Magnetic Wireless Power Bank Qi2 25W utilizes a similar system — it's far more convenient than having to bring a separate cable with you, and makes it easier should you want to opt for that 45W fast-charging over the slower 25W MagSafe charging.

Like a lot of the newer power banks, the SnapGo Air also features an LCD screen, which displays the battery’s remaining charge. This is far more useful than those models that only have a series of LEDs to indicate battery status, where you're left guessing whether the power bank has 51% or 74% charge left. The display here is subtle, tucked away down by the device’s two USB-C ports, and I really appreciate the more granular insight it provides on the juice left in my device.

(Image credit: Future)

So how does it perform? Perhaps, unsurprisingly, pretty well! That 45W max charging isn’t unheard of, but it still beats a number of devices, with many higher output models likely to cost you a lot more — although the Anker 20,000mAh 87W Power Bank is currently available for a steal at just $69.99 / £49.99 / AU$119.99. MagSafe charging is capped at 25W by Apple, so naturally you won’t get a huge variation in charging speed there; but the reality is you're trading speed for convenience with wireless charging.

In terms of the numbers, I first put the SnapGo Air to the test by fully charging the 5,200mAh battery of the OnePlus Nord CE5 from 0% to 100% using its 45W charging. That took 1 hour and 24 minutes, which is pretty much bang on what I’d expect given the phone’s capacious battery. Unfortunately, only 29% of the Iniu’s 10,000mAh capacity remained after charging, which is a significant drop.

Meanwhile, when I used its MagSafe charging to juice up an 3,095mAh iPhone 13 Pro, it took 2 hours and 25 minutes — that’s considerably slower, but not surprising given the max wattage available to the iPhone 13 Pro during MagSafe charging is just 15W.

When it comes to powering the SnapGo Air back up, its 27W charging saw this take just 1 hour and 46 minutes. Given its 10,000mAh total capacity, that isn't bad — there are phones with batteries half that size that take nearly as long to charge up.

All told, the Iniu SnapGo Air 10000mAh Power Bank is a pretty strong power bank. It charges your devices fast, whether you’re using its built-in cable or 25W MagSafe charging; its LCD screen is super useful; and the unit itself is nicely compact. Moreover, it’s a seriously stylish power bank in a market crammed with charcoal-hued cuboids, yet comes in at a very reasonable price. Ultimately, it’s a very hard product to find fault with.

(Image credit: Future)Iniu SnapGo Air 10000mAh Power Bank review: price & availability

• Launched on May 15, 2026
• List price of $54.99 / £49.99 / AU$69.99
• Range of attractive colorways

Having launched on May 15, 2026, the Iniu SnapGo Air 10000mAh Power Bank is widely available. It comes in a great range of colors — alongside Lunar Silver and Space Gray are a medley of iPhone-mimicking hues such as Midnight Navy, Metallic Mocha and Sunset Orange.

You can pick it up for a list price of $54.99 / £49.99 / AU$69.99, which is pretty keenly priced given its spec. For example, the Anker MagGo Power Bank (10K, Slim) can only muster 30W over a wired connection, compared to the Iniu’s 45W, yet costs $79.86 / £69 / AU$97.99, showing what a good deal the Iniu SnapGo Air actually is.

(Image credit: Future)Iniu SnapGo Air 10000mAh Power Bank review: specs

Capacity

10,000mAh

Total wattage

45W wired / 25W wireless

Number of ports

2

Port type(s)

USB-C (2x input/output) + Detachable GoCord USB-C cable

Wireless charging

Yes, Qi2.2 certified (Up to 25W magnetic)

Weight

196g / 6.9 oz

Dimensions

4.2 x 2.8 x 0.5 inches / 10.7 x 7.1 x 1.38 cm

(Image credit: Future)Should I buy the Iniu SnapGo Air 10000mAh Power Bank?Buy it if…

You want seriously fast charging
For a power bank this compact, it’s rare you’ll find charging speeds faster than its 45W. Able to top up a 5,200mAh phone in 1 hour and 24 minutes using its cable, it’s an impressively speedy power bank.

You’re fed up of drab-looking power banks
Arriving with an LCD screen and in a range of gorgeous colors that include everything from the iPhone mimicking Metallic Mocha or Sunset Orange to Soft Lilac or Space Gray, the Iniu sure is a looker.

Don’t buy it if…

You have a phone capable of ultra-fast charging
If your phone can handle more than 45W — for example, the OnePlus 15 with its ludicrous 120W charging — you might want to consider a power bank that offers faster charging speeds.

You want to be able to charge your phone multiple days running
At 10,000mAh, the SnapGo Air will comfortably charge most phones more than once. But if you’re going away for days and will need multiple charges, you might find a larger capacity is a better fit.

Iniu SnapGo Air 10000mAh Power Bank review: also consider

Anker 737 Power Bank (PowerCore 24K)
If you need to top up your phone more than once or your phone is capable of ultra-fast charging, the Anker 737 Power Bank (PowerCore 24K) is definitely worth considering. It has a huge 24,000mAh capacity, which would allow you to top up most phones around four times, while that insane 140W charging can rapidly juice up even the thirstiest phones on the market. Read our full Anker 737 Power Bank (PowerCore 24K) here.

If your AI rollout is making people more exhausted, the architecture is wrong. That’s not a provocative claim; it’s the logical conclusion of what the data shows. With 69% of UK businesses implementing AI assistants, these tools have become part of everyday working life.

But deployment without the right operational structure is leaving employees exposed to the harmful effects of ‘AI brain fry’. AI overload is not a failure of the individual, but a failure of system design. And it is the responsibility of technology and business leaders to fix it.

Researchers recently coined the term ‘AI brain fry’ to describe the cognitive fog and loss of concentration that results from excessive oversight and orchestration of AI tools; i.e. the mental load of managing the systems themselves. The problem - as our own data makes clear - is not that employees are using AI skills too much.

Rather, it is that most UK businesses have deployed AI tools without building the structured ways of working needed to make them productive. The issue does not lie in use alone; it lies in how that use is managed.

The organizations deploying these tools have a duty to ensure they deliver genuine efficiency gains – not a new category of cognitive burden.

The adoption gap is creating more work, not less

Only 31% of businesses are using multi-agent workflows, leaving their employees stuck in a cycle of tedious labor – the kind that AI is supposed to reduce. The majority of UK businesses currently employing AI tools are expecting employees to still do most of the heavy lifting.

Employees are finding themselves writing prompts, manually checking whether the answers are reliable, and interpreting outputs.

This type of work was supposed to be eased by AI. Instead, the tools have made it worse.

The consequence? More admin, not less. Employees who were promised that AI would lighten their workload are instead finding it has added a new layer of tasks including prompt management, output validation, error correction on top of the day job.

Few businesses have moved towards a structured multi-agent workflow where AI systems handle the orchestration burden directly – routing tasks, validating outputs and managing agent-to-agent handoffs without requiring constant human supervision.

That is the architecture that relieves the cognitive load. Without it, employees are not using AI – they are managing it. And there is a significant difference between the two.

Moving towards an ‘adaptive operating model’

UK organizations need to move beyond AI deployment and towards an adaptive operating model. One that is deliberately architected, not organically grown. That means clearly defining which tasks AI can be trusted to handle autonomously, where human judgement remains the critical control point, and how work moves between the two. In practice, this could look like:

AI agents handling first pass research, data synthesis and output drafting. Humans setting direction, making judgement calls and reviewing exceptions, rather than every output.

The distinction between “AI does the work” and “human manages the AI doing the work” is where most current deployments get stuck. To protect employees and exact real productivity, businesses must build in human oversight at the right level – not at every level.

This means developing genuine domain expertise so that employees can interrogate AI outputs critically, not simply accept them. It also means investing in the technical literacy to design workflows that are robust, not just functional. An AI deployment that requires constant human supervision to remain reliable has not been properly engineered.

The organizations that get this right will also be better protected as the employment landscape shifts. With the UK government’s Employment Rights Act 2025 set to reduce the qualifying period for unfair dismissal claims and remove the compensation cap from January 2027, the cost of poorly managed AI-driven workforce change, both in human and legal terms, is rising.

Businesses that have embedded clear human-AI accountability structures will be far better placed than those that have not.

Without making these structural changes, AI adoption will continue to add effort rather than remove it. Thereby accelerating burnout at the very moment businesses are depending on these tools to drive productivity.

Protection and transformation go hand-in-hand

It is entirely possible to realise the productivity potential of AI whilst protecting employees from its cognitive costs. Multi-agent workflows, properly designed, keep humans in the seats that matter - strategy, judgement and decision-making – and had the orchestration burden to the systems built for it.

AI brain fry is not an inevitable side effect of AI adoption. It is a signal that the implementation architecture needs re-thinking. That is a technical and organizational challenge, and it belongs with the people who built the system – not the people using it.

We've featured the best small business software.

This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit

If you're looking for a powerful new desktop, Best Buy's Black Friday in July sale has dropped a fantastic offer you can snap up right now.

If you buy a qualifying system from a range of brands including HP, Acer, MSI, and iBUYPOWER, you can add the $180 GTPlayer Ergonomic Gaming Chair to your order for just $50.

There are a number of desktops to choose from, but the HP Omen 35L for $2140 (was $2700) stands out for me, saving you $560, before you even factor in the discounted chair.

Today's top HP Omen deal

This HP desktop delivers exceptional performance with an AMD Ryzen 7 9800X3D processor, Radeon RX 9070 XT graphics, 32GB DDR5 memory, 1TB PCIe 4.0 SSD, LCD liquid cooling, and plenty of upgrade potential for years ahead.

Buy it (or any other available desktop) here, and you can get a $180 GTPlayer ergonomic chair for just $50.View Deal

The HP Omen 35L is powered by the AMD Ryzen 7 9800X3D processor with an AMD Radeon RX 9070 XT graphics card with 16GB of GDDR6 memory.

The system comes with 32GB of DDR5 RAM running at 6000MHz and a fast 1TB PCIe 4.0 SSD, which means the system can tackle demanding creative software, AI workloads, video editing, multitasking, and even modern games with ease.

An LCD liquid cooler keeps temperatures under control, while the Ceramic White chassis offers plenty of room for potential future upgrades.

There are four memory slots supporting up to 128GB of DDR5 RAM, three M.2 slots for additional SSDs, an 850W power supply, Wi-Fi 7, Bluetooth, and a number of USB-A, USB-C, HDMI 2.1, and DisplayPort 2.1 connections for monitors and peripherals.

The desktop comes with Windows 11 Home, a wired keyboard and mouse, HP's Omen utilities, and a one-year warranty, making it ready to use straight out of the box.

Whether you're editing photos, producing videos, working with large datasets, creating 3D content, or simply want a fast, capable PC that will last for years, the HP Omen 35L is an easy recommendation from me.

If you could do with a new chair as well, being able to snap up an $180 ergonomic model for only $50 is the cherry on top.

Other desktops in Best Buy's Office Builder offer include the Acer Nitro 65, MSI Codex R2, iBUYPOWER Element, and CyberPowerPC Desktop.

For further desktop choices, take a look at our round up of the best desktop PCs and the best business desktops.

• Shop the full Black Friday in July sale at Best Buy

• Windows 10 21H2 and earlier is losing support for all OneDrive updates
• 22H2 will still get feature and security updates until October 2028
• Affected users are being urged to upgrade to Windows 11

Microsoft has announced it will end OneDrive sync app updates on Windows 10 version 21H2 and earlier starting August 15, 2026.

Besides no longer offering new features, affected devices will also be incompatible with new bug fixes and security updates, marking the official end of OneDrive on those devices.

The app will continue to function after losing update support, but system changes and emerging bugs could render it unfixable with time.

Windows 10 is starting to lose its OneDrive sync support

From the August 2026 deadline onward, users may experience reduced functionality, compatibility problems and security risks, with the company instead pushing Windows 11 as a viable alternative to keep OneDrive functioning as expected.

Some later versions of the ongoing OS, including version 22H2, will continue to receive feature, reliability and security updates until October 10, 2028. 22H2 was the final version of Windows 10 – the next upgrade after that represents a brand new OS that brings with it some hardware limitations.

"This change aligns OneDrive support with the Windows lifecycle policy and helps Microsoft focus ongoing investments on supported operating systems," Microsoft wrote in a support article.

Users who are reluctant to upgrade OS could still access OneDrive via the browser if the app end up breaking due to incompatibility.

Rather than issuing advice to make OneDrive compatible on Windows 10, Microsoft is urging affected users to finally upgrade to Windows 11. Windows 10 still accounts for around 28% of all Windows installs (per Statcounter), compared with 70% for Windows 11.

When the Western genre takes over the TV, it does so en masse. In 2026 alone, we've had Landman, The Madison, Marshals and Yellowstone spinoff Dutton Ranch. Now, we're returning to Ransom Canyon for the Netflix's show second season.

Just over a year ago, we found out who killed Staten's (Josh Duhamel) son Randall, Staten once again breaking off his fledgling romance with Quinn (Minka Kelly), and seeing the land battle between Double K Ranch and the Fuller Ranch continues.

With season 2, we'll be diving even deeper into these messy and complicated issues. But, when does Ransom Canyon season 2 ride into view?

What time can I watch Ransom Canyon season 2 on Netflix?

Ransom Canyon season 2 drops on Thursday, July 23.

As for exact time, it should be the standard 12am PT / 3am ET release that many other Netflix TV Originals premiere at. For fans who don't live in North America, here's when you'll need to tune into Netflix for season 2:

• US – 12am PT / 3am ET
• Canada – 12am PT / 3am ET
• UK – 8am BST
• India – 12:30pm IST
• Singapore – 3pm SGT
• Australia – 6pm AEST
• New Zealand – 8pm NZDT

When do new episodes of Ransom Canyon season 2 come out?

(Image credit: Netflix)

All eight episodes of this season will be released at the same time. Unlike weekly drops on the likes of Prime Video, Apple TV, and Disney+, then, you won't need to wait around for new installment of Ransom Canyon 2.

As for the series' future, there's currently no public word on whether a third season has been greenlit. Hopefully, we won't be made to wait much longer.

The World Cup has arrived, bringing a wave of anticipation, celebration, and distraction that stretches far beyond the stadiums. For employers, it also serves as a real-time test of workforce operations as schedules, staffing needs, and employee engagement are all put under the spotlight.

During the six-week tournament, millions of employees will be watching matches, adjusting schedules, arriving late, swapping shifts, requesting time off, or turning up tired after late nights.

New UKG research of 8,000 employees across Australia, Canada, France, Germany, Mexico, the Netherlands, the UK, and the US estimates the tournament could drive at least £12.6 billion in lost productivity.

In the UK alone, the impact could exceed £680 million, with employees not just planning to follow matches during working hours, alter their schedules, or miss work altogether --many admitted they would go to work hungover, secretly stream matches, and push the limits of what their employer would allow.

If England wins it all, almost a third of UK employees said they would take the day off whether that absence had been approved.

What the World Cup Reveals About the Future of Work

That creates a real challenge for employers. But the bigger lesson is not about football. It is about how work now happens.

The World Cup is a high-profile example of something organizations face every day: unpredictable employee behavior, sudden changes in demand, last-minute absences, weather disruption, supply chain delays, new regulations, and shifting customer expectations. For frontline-heavy industries in particular, disruption is not an exception to the operating model. It is the operating environment.

The question is whether workplace technology is built for that reality.

Many workforce systems were designed around predictability. They record schedules, track attendance, and report what happened after the fact. That matters, but it is no longer enough. When conditions change by the hour, organizations need more than systems of record. They need systems of action that help managers see risk earlier, make better decisions faster, and keep work moving in real time.

Three Workforce Strategies That Help Employers Stay Ahead of Disruption

The employers that come out ahead during the World Cup, and during the everyday disruption that follows it, will do three things differently.

1. See the disruption before it happens

Too often, workforce disruption becomes visible only once it has created a gap. Someone does not arrive. A shift is suddenly under-covered. A manager starts calling around for support. The business reacts after the damage has begun.

The World Cup gives organizations a chance to get ahead of that pattern.

Employees are already signaling intent. They know which matches matter to them. They know when they are likely to want flexibility, when they may need time off, and when they are more likely to be distracted or unavailable. Organizations that capture that intent early can turn it into useful operational data.

That does not mean monitoring employees or trying to control their behavior. It means giving people approved ways to communicate availability, preferences, and likely conflicts before they become last-minute absences. When that information is combined with historical absence patterns, demand forecasts, local schedules, and workforce data, managers can identify where risk is most likely to emerge.

A retailer, manufacturer, logistics operation, or hospitality business does not need to know every individual decision. But it does need to know where coverage pressure is building. High-interest match days, late kick-offs, local celebrations, and major national fixtures can all create predictable patterns of disruption.

Seeing that risk early allows organizations to plan differently. They can adjust staffing levels, open additional shifts, prepare contingency cover, or communicate expectations before managers are forced into crisis mode.

2. Design flexibility into the operating model

The instinctive response to disruption is often to tighten control. But rigid rules can push behavior underground.

If employees believe there is no fair or practical way to adjust work around major life moments, they are more likely to find informal workarounds. That can mean last-minute sickness calls, unapproved absences, shift swaps that managers do not see, or colleagues covering gaps without the right skills, rest periods, or compliance checks.

The better approach is to make flexibility visible, fair, and operationally safe.

That means giving employees clear, approved ways to request time off, swap shifts, volunteer for extra hours, adjust availability, or pick up open shifts. It also means giving managers the tools to assess those requests against business need, skills, fatigue, labor rules, and fairness.

This is especially important on the frontline, where the margin for error is small. A missed shift in an office may delay a meeting. A missed shift in healthcare, retail, manufacturing, hospitality, or logistics can affect safety, service, cost, and compliance.

Flexibility cannot sit outside the workforce strategy. It must be built into it.

For employers, that shift is powerful. Flexibility becomes less of a concession and more of an operating capability. Employees get more transparency and control. Managers get fewer surprises. The business gets a better chance of protecting service levels without treating people like variables in a spreadsheet.

3. Act in real time when the plan changes

Even the best World Cup plan will not survive unchanged.

A match goes to penalties. Demand spikes unexpectedly. More employees call in sick than forecast. A local team advances further than expected. A manager discovers at short notice that the people available do not have the right skills or certifications.

This is where many workforce systems fall short. They can show the scheduling. They can record the absence. But they do not always help managers decide what to do next.

Modern workforce management has to move from static planning to real-time execution. Managers need to know where gaps exist, who is available, who is qualified, who is approaching overtime or fatigue limits, and what action will create the best outcome for the business and the employee.

That is where data and AI can play a practical role. Not generic AI layered onto old processes, but intelligence that understands workforce context and helps recommend the next best action. Should a manager offer an open shift? Redeploy someone from a lower-demand area? Approve a swap? Escalate a compliance risk? Adjust breaks? Bring in contingent support?

The value is not simply in having more data. It is in turning workforce data into action while there is still time to influence the outcome.

The real stress test for workplace technology is not whether an organization can create a schedule weeks in advance, but whether it can adapt that schedule minutes after conditions change.

The World Cup will pass. The operating lesson will not.

Every organization will face its own version of this disruption: seasonal demand, illness, weather, regulatory change, major events, economic pressure, and shifting employee expectations. The companies that treat these moments as one-off exceptions will keep solving them manually, shift by shift and manager by manager.

We review the best employee management software.

This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit

Congo's health ministry said the deaths were recorded out of the 2,344 cases confirmed as of Saturday. Thirty-seven new deaths were recorded in the previous 24 hours in one of the highest totals.

(Image credit: Moses Sawasawa)

• Avengers: Doomsday pre-sale tickets will go live later today (July 20)
• Fans think the new Marvel movie's first trailer could be released, too
• It would be an unusual move for Marvel to make, for one major reason

Update 2: well, I was completely wrong! The film's first official trailer has been released, so join me on our Avengers: Doomsday trailer breakdown live blog as I, well, break it down in real time.

Update: Okay, something might happen on the official trailer front.

Indeed, the Avengers: Doomsday Clock video on Marvel's YouTube channel, which has been counting down towards the movie's release date for months now, has been updated. The minutes and seconds part of the timer are now shown in green, and music now accompanies the ticking of said clock.

Does this mean Doomsday's first proper trailer will be with us at 6am PT / 9am ET / 2pm BST? I'm still sceptical and think it's simply counting down to the pre-sales ticket window finally opening — but we'll find out for sure in less than 30 minutes.

Original story follows.

Avengers: Doomsday tickets are finally set to go on sale later today (July 20) — and Marvel fans think the movie's first trailer could drop at the same time, too.

As revealed by The Hollywood Reporter earlier this month, cinephiles and comic-book fans alike will be able to pre-book their seat for one of 2026's hottest new movies very soon. And, with some theater chains, such as US-based company Regal, already telling fans where they'll be able to watch Doomsday in come December 18, fans will be able to buy advanced tickets before the day is over.

That's not the only Marvel-related thing that might happen today, though, because some people believe the pre-sales launch will coincide with the debut of Doomsday's official trailer.

In screenshots posted to Reddit pages including r/MarvelStudios, r/MarvelStudiosSpoilers, and r/LeaksandRumors, the app for popular US movie ticket company Fandango appeared to indicate that a new trailer would accompany the film's pre-sales launch.

Less than an hour later, users in a separate r/LeaksandRumors thread noted that the trailer banner had been scrubbed from the Fandango app. Some are seeing this as confirmation that we'll soon get a fresh look at the Marvel Phase 6 film — but I'm not entirely convinced that'll be the case.

Why Marvel shouldn't — and should — hold off on releasing a new trailer for Avengers: Doomsday

Will Robert Downey Jr make another SDCC appearance as Doctor Victor von Doom? (Image credit: Marvel Studios)

If Marvel unveils Avengers: Doomsday's fifth trailer — remember, four bite-sized teasers were released between December 2025 and January 2026 — today, it wouldn't be a complete shock.

Indeed, releasing a new trailer, which would likely end by telling people that they can pre-book tickets now, would further ramp up interest in the Marvel Cinematic Universe (MCU) movie, and generate even more ticket sales. Releasing more new footage before Marvel holds its latest Hall H panel at San Diego Comic-Con (SDCC) 2026, which will take place on Saturday, July 25, would also give it more time to highlight some of its other forthcoming film and Disney+ projects during said presentation, because Doomsday wouldn't dominate proceedings.

With SDCC 2026 just days away, though, I'm baffled by the suggestion that Marvel would release Doomsday's first trailer earlier than expected. The aforementioned flick is the comic titan's most anticipated movie in years, and, considering that past editions of SDCC have been where Marvel has made the biggest announcements and reveals about myriad films, I can't foresee a one-off change to that tried and tested — not to mention highly successful — strategy.

I guess we'll find out one way or the other in the hours ahead. For now, find out everything we know so far about Avengers: Doomsday. Once you're done, check out the first official artwork for Avengers: Doomsday, and prepare for your pre-Doomsday release MCU marathon by reading up on how to watch the Marvel movies in order.

There is something poetic about quantum computing.

For decades, it has lived in the realm of possibility, whispered about in academic corridors, hyped in boardrooms, and misunderstood almost everywhere else. It promised to change everything, and yet, for the longest time, changed very little.

Until now.

Not because quantum has suddenly “arrived” - it hasn’t. But because the world around it has finally caught up.

We are, quietly, entering the age of hybrid intelligence, where classical computing, artificial intelligence, and quantum systems begin to work together. And that changes the question from “when will quantum matter?” to something far more interesting: What happens when quantum becomes part of how the world works?

From magic to mechanics

Quantum computing has long suffered from a branding problem.

It was either considered “Magic” because it would solve everything instantly; or a “Myth” because it was perpetually 10 years away!

The reality, as always, is more nuanced and much more powerful.

Quantum computers are not general-purpose machines; they are specialists. They are exceptionally good at specific classes of problems like optimization at massive scale, molecular simulation, cryptographic analysis, complex probabilistic modelling etc.

However, they are also fragile, error-prone, expensive and dependent on classical systems for almost everything else around them!

This leads to a simple but profound insight: Quantum will not replace classical computing. It will collaborate with it.

And that collaboration is where the real revolution begins.

The quiet role of AI

Ironically, the biggest accelerator for quantum computing hasn’t come from within the field itself. It has come from artificial intelligence.

AI has created the conditions for quantum to matter in three critical ways:

1. Made complexity usable - Quantum algorithms are not intuitive. AI helps design, optimize, and even discover them.
2. Improved error correction - One of quantum’s biggest challenges is “noise”. AI is now being used to stabilize and correct quantum systems in real time.
3. Created demand - AI has exposed the limits of classical computing—particularly in energy, consumption, and scale. Quantum is no longer a curiosity; it is a necessary complement.

What’s actually working (and what isn’t)

To understand the current state of the industry, we must separate the signal from the noise. First and foremost, what’s working is “Hybrid Workflows”. The hybrid architectures where classical systems prepare the problem, quantum executes the core computation, and classical systems interpret this result.

This is where real-world use cases are emerging.

Second, progress seems to be very domain specific as quantum is showing promise in areas where complexity explodes – drug discovery, materials science, logistics optimization, financial modelling etc. So, it’s not universal, but selective and meaningful.

Finally, ecosystems are forming. A new stack is emerging. Companies like IBM, Google, and Microsoft are building integrated quantum platforms, while hardware innovators like IonQ and Quantinuum push the boundaries of qubit fidelity.

What’s isn’t working ...yet

Fault tolerance at scale needs to evolve more as we’re still far from fully error-corrected quantum systems. Also, most enterprises are still only experimenting and not deploying quantum solutions at scale.

There is no “Windows moment”, or universal standard for quantum yet; every stack looks different.

And, perhaps most importantly, quantum still requires translation, from physics to business value.

A global race… with no clear finish line

Quantum computing has become a geopolitical priority. The United States is investing heavily through public-private partnerships; China is accelerating both research and infrastructure at a massive scale; and the UK and Europe are focused on Sovereign Quantum capabilities - ensuring they aren’t reliant on foreign stacks for critical security.

They are protecting their intellectual property more fiercely than they did with the internet.

This is not just about computing. It is about economic advantage, national security and scientific leadership.

And yet, unlike previous technology races, this isn’t winner-takes-all. Quantum systems will not exist in isolation. They will exist in networks.

Different players are taking fundamentally different approaches as the hyperscalers are positioning quantum as a “cloud-accessible capability”, as they abstract complexity and integrate with existing workloads.

But, as I have gone around the world talking to CEOs of various quantum companies, I am fascinated by what I call the “Plug-and-Play innovators”:

• Hardware pure-plays: Companies like IonQ and Quantinuum focus on hardware breakthroughs - trapped ions, new materials, and improved qubit fidelity. Their bet is that that “if we solve the physics, everything else follows.”
• The bridge builders: Firms such as Zapata AI and QC Ware are building the bridge between algorithms and applications. Their belief is “Quantum without software is just expensive physics.”

And then there is the gap. No one truly owns the interconnections between quantum and classical systems, nor the orchestration of the hybrid workloads. The missing layer is a neutral ecosystem where these players converge.

That gap will define the next phase of adoption needed for this to truly scale.

What this means for society

Quantum’s impact will not be immediate, but it will be profound.

Healthcare: Simulating molecules at quantum precision could accelerate drug discovery from years to months.

Climate: Optimizing energy grids and materials could unlock more efficient batteries and carbon capture.

Finance: Risk modelling and portfolio optimization could reach entirely new levels of sophistication.

Security: This is my personal passion. While quantum has the potential to break current encryption standards, it is also driving the development of Post-Quantum Cryptography (PQC), making systems more secure in the long run. We must act now to prevent "Harvest Now, Decrypt Later" attacks, where encrypted data is stolen today to be cracked by quantum computers tomorrow.

A slightly uncomfortable truth

Quantum computing will create as many questions as it answers.

• Who gets access first?
• Who controls the infrastructure?
• How do we ensure equitable benefit?

We have seen this movie before with the internet and AI.

The difference this time is that we have the opportunity to design the system more deliberately.

Quantum has been “almost here” for decades. So, why does this moment feel real?

Because AI has created urgency and demand; infrastructure has matured to support hybrid models; and ecosystems are forming, not just technologies.

This is no longer about a breakthrough machine. It is about a connected system of capabilities.

A more human way to think about quantum

Perhaps the simplest way to understand quantum is this:

• Classical computers think in straight lines.
• AI learns patterns from data.
• Quantum explores possibilities simultaneously.

It is less like a calculator and more like imagination. And like imagination, it is most powerful when guided.

So, what should we do now?

For enterprises, start experimenting with hybrid workflows now. Focus on use cases (optimization, simulation), not just the underlying physics, and build internal understanding early.

For policymakers, invest in open ecosystems, prioritize standards and interoperability, and balance competition with collaboration.

For technologists, think beyond silos and design for integration, not isolation. For the rest of us, stay curious.

Quantum computing will not change your life tomorrow, but it will quietly reshape the systems that your life depends on.

Closing thought

We often think of technological revolutions as moments.

In reality, they are transitions. Messy. Gradual. Non-linear.

Quantum computing is not a single breakthrough waiting to happen. It is a shift in how we solve problems; one that will unfold over years, across industries, and in ways we cannot fully predict.

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This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit

• Topping has unveiled its new and compact desktop DX1 II DAC
• It's relatively affordable at £119 (about $160, AU$240)
• Multiple inputs and outputs, some clearly designed for gamers

If you've been considering buying one of the best headphone DACs, it's probably because you want to connect them to an audiophile-friendly hi-fi system — or even to your phone or dedicated music player on the commute. But Topping's latest option aims squarely at a very different audience: gamers.

The Topping DX1 II is a new piece of kit which is slowly being released in different regions; it's just been released in the UK from Electromod. It costs £119 (about $160, AU$240), so it undercuts many other options save for models built specifically for smartphones or digital audio players.

The DX1 II seems to have a specific user in mind though. The DAC is designed for all budget-conscious, audiophile-curious buyers, but it does feel aimed at gamers more than most. And that is thanks to a few key considerations that seemingly make it a good pick for enhancing your games' sound.

For example, while the DAC has two headphone outputs (3.5mm and 4.4mm), they're two-way, so you can use headsets with microphones. It can also switch between USB Audio Classes, allowing you to use it alongside the Nintendo Switch and PS5 which are some of the few gadgets only using UAC 1.0.

A DAC is for life, not just for gaming

Despite some gaming features being the headline tools, the Topping DX1 II seems to be a solid all-rounder too — and given how much we loved the larger and more expensive Topping DX5 II, it's well worth taking a closer look.

The DAC can input from USB-C as well as optical, and output to optical, stereo RCA, 3.5mm or 4.4mm. There's support for 32-bit/384kHz PCM and DSD 256, so high-quality audio won't be a problem. There are also EQ tools as well as filter and gain settings.

A built-in amp can deliver up to 1,000mW audio, and since it's quite compact at 10x10x3.2cm, it'll fit into various existing set-ups — and that glossy white casework will make it look right at home next to a PS5.

As a prolific gamer, I'm not sure that I can see a DAC being crucial to a hardware set-up — although I absolutely recommend any one of the best wired gaming headsets. That said, the Topping is still very useful as an affordable entry-level DAC for my music that can get double use for gaming.

While there are several AI image and video generation tools on the market, InVideo differentiates itself by carving out a dedicated niche. Built from the ground up for creative teams, filmmakers, and professionals, InVideo offers the easy-to-use conversational AI Agent One, which helps you create highly professional videos using simple English instructions. This is probably why it's trusted by teams at Netflix, Nvidia, Meta, LinkedIn, and Google.

In this article, we put InVideo to the test to see if it lives up to its claims. Read on as we try out its top features and evaluate its pricing, ease of use, and compare it to the best AI video editors to help you find out if it's the right choice for your needs.

InVideo: Plans and pricing

You can check out InVideo by clicking here.

InVideo offers as many as four individual plans and two plans for teams and enterprises. One good thing about InVideo is that all of its plans come with access to more than 200 AI models, including Seedance 2.0, Veo 3.1, Nano Banana Pro, ElevenLabs Music, and Kling 3.0. Plus, every plan includes all the features that InVideo has to offer, the only difference is the usage limits.

The paid plans start at $17 per month (Plus plan), which comes with 75 credits per month. Here, you get 20 GB of storage, access to 100 iStock assets, and four AI avatars and voice clones. The next plan, priced at $85 per month (Max), comes with 390 credits, 16 AI avatars, 100 GB of storage, and access to 200 iStock assets.

(Image credit: InVideo)

The next two plans let you choose the number of credits you want. For instance, the Generative plan starts with 800 credits per month at $170 per month and goes all the way up to 8,000 credits for $1,700 per month. Here, you can create 40 AI avatars and voice clones, along with 2 TB of storage and access to 1,000 iStock assets (800-credit plan).

Lastly, the Elite plan, meant for individuals with large AI generation and editing needs, starts at 4,250 credits per month for $900 per month and goes all the way up to 42,500 credits per month for $9,000 per month. Here, you can create 200 AI avatars, get 10 TB of storage, and access up to 5,000 iStock assets (4,250-credit plan).

For businesses, there are two plans: Team and Enterprise. The Team plan starts with 160 credits per seat per month at a cost of $40 per month, while you'll need to contact InVideo's sales team and book a demo to receive custom pricing for its Enterprise plan.

As is evident, InVideo is one of the more expensive AI generation and video editing tools out there. Even its Max plan ($85 per month) is significantly more expensive than the highest-tier plans of competitors like Veed, Kapwing, Fliki, and Filmora.

Moreover, InVideo also offers a free plan with limited credits, allowing you to test out the platform's capabilities. However, the free plan is fairly limited compared to competitors like Filmora and is best suited for testing the platform rather than using it on a full-fledged basis.

InVideo: Features

Although InVideo commands a high price, there's a good reason for it. You can generate AI videos and images with InVideo, just like any other AI generation tool. InVideo calls this its Autopilot feature. However, the problem with one-time generation is that the context gets lost after a few back-and-forth edits.

By the time you're on your fifth or sixth edit, your character may have changed entirely, and the scene is nothing like what you initially wanted. This is a problem common to almost all AI generation tools on the market.

This is where InVideo's all-powerful Agent One comes into the picture. Designed for filmmakers and high-end marketing professionals, Agent One is a full-fledged AI assistant that can not only generate images and videos for you, but also remember the context of your scene and create professional, cinematic short videos and even full-length short films (more on that later).

(Image credit: InVideo)

Additionally, InVideo has an extensive collection of workflows, which are templates you can choose from to get started on a new project.

These include explainer videos, animated videos, script-to-video, promos, advertisements, listicle videos, faceless explainers, educational videos, and more.

You can also create animated videos in different styles, such as Disney Pixar-style, claymation, Lego, anime, and more.

(Image credit: Future)

Plus, you'll find a new Trends feature in InVideo that keeps you updated on the latest trends in video creation. This includes camera controls, effects such as Split Self and Drip Flip, as well as motion graphics like Highlight Typography and Glass Motion Graphics. There's also a dedicated Advertising Studio that lets you create high-end professional ad videos for any product of your choice in different styles.

InVideo: Interface and in use

Despite its high-end, professional features, InVideo is surprisingly easy to use, making it beginner-friendly. Its Agent One is as easy to use as a conversational AI.

You first have to provide it with a treatment, which is nothing but your idea, vision, or script, including the context of the video you want to generate. This can include character descriptions, environments, buildings, and a beat-by-beat story timeline.

The heart of Agent One is its Context tab, where you can provide additional details about your project. You'll find various content options under this tab, including About This Project, where you'll add the context of your video, its script, and the ultimate goal.

(Image credit: Future)

Then there's InVideo Rules, where you can enter standing instructions on the pacing or format of your video, along with the tone and specifications of the characters you want to use. There's also a dedicated World Building tab, where you can describe in detail the visual language, settings, and continuity you want to maintain throughout your video.

You can also upload images, references, research, briefs, and scripts in the Inspiration and Knowledge Bank tabs.

Unlike other AI generation platforms, which aim to keep your prompts as short and direct as possible, Agent One encourages you to be as detailed as possible. The more context and detail you provide, the better your output is likely to be.

Besides this, you can also select the layout of the video you want. InVideo gives you many more options than some of its competitors. For instance, you can choose between square, extra tall, portrait, landscape, and more. Plus, you also have a choice of output resolution, ranging from 1K to 4K.

(Image credit: Future)

Overall, the experience is similar to that of a director sitting in a chair talking to a creative team. The only difference is that everything is packed into a single AI agent.

InVideo: How we tested

We reviewed the breadth of InVideo's capabilities. In particular, we tested its Autopilot feature, which lets you create videos with a single prompt. We gave it the same prompt that we used while testing the other AI video editing software:

"A woman in a red coat walks across a rain-soaked city street at night, neon signs reflecting in the puddles, camera slowly tracking alongside her."

One thing to note is that before generating a video, InVideo gives you a lot of options to customize your output. This includes selecting the duration of the video as well as the platform you're generating it for, such as Instagram Reels, YouTube, or TikTok.

(Image credit: Future)

There's also a hidden Additional Options button in the bottom-left corner, where you can customize settings such as visual styles. You also get an option to choose an AI character from InVideo's free AI actors.

When we had everything in order, we hit the Generate button.

Now, InVideo takes arguably the longest time to process a project and generate an output, noticeably longer than the likes of CapCut or Veed. However, the outputs are worth the wait. InVideo created a pretty realistic-looking Instagram Reel of a woman walking on a rain-soaked street.

(Image credit: Future)

Besides this, we also tried using InVideo's Agent One, giving it the same prompt. Although it did create various character options for us in different styles, we couldn't proceed further because it required more credits than the free plan offered.

(Image credit: Future)

However, Agent One's conversational-style editing makes it pretty simple to use. You just have to write down what you're thinking, and Agent One processes your thoughts into a clean script, building each scene bit by bit.

InVideo: Alternatives

InVideo is designed for professional filmmakers or large enterprises that need to create realistic, professional AI videos. If you're looking for a simple video editing software simpler, you could opt for a tool like Veed, which is one of the most complete AI content generation and editing platforms.

With Veed, you also get access to various AI models such as Seedance, PixVerse, and Veo 3.1, which can generate text-to-video, image-to-video, as well as more than 60 diverse AI avatars.

Veed also has one of the best subtitle offerings on the market, keeping up with the latest social media trends. That said, its free plan is a bit limited in what you can do, which is why you'll likely have to upgrade to one of its paid plans, starting at $12 per user per month.

If you're looking for something more affordable, you can go with Filmora. It starts at just $4.17 per month, and even its highest-tier plan costs only $8.33 per month. Filmora is also a professional-level video editing platform that has recently integrated a wide range of AI features into its repertoire.

You get access to more than 2.9 million creative assets, including filters, transitions, effects, music, and stock media. It has also introduced advanced AI features such as AI Audio and Video Extender, which can extend short audio clips and videos for smoother transitions.

There's also Animated Charts and Lens Correction, which come in handy while editing action camera or wide-angle footage. Plus, you get more than 10,000 ready-made templates and over 500 AI-powered effects.

However, Filmora is one of the more difficult tools to use and comes with a bit of a learning curve. Once you get the hang of it, though, it is one of the best tools available for AI-powered video generation and editing.

InVideo: Final verdict

InVideo is a professional-level AI generation and video editing tool designed for filmmakers, advertisers, and professionals working in the creative industry. It offers access to more than 200 AI models, including Veo 3.1 and Nano Banana Pro.

InVideo comes with the powerful Agent One, a conversational AI that not only generates AI videos and images for you, but also works back and forth with you to create highly realistic, cinematic short videos.

Moreover, Agent One is surprisingly easy to use, almost as easy as conversing with a creative director and giving instructions. The best part is that you're not stuck engineering prompts to get the best output. Instead, you can focus on the creative aspects of your project while Agent One handles the rest.

That said, InVideo is one of the most expensive tools out there, with plans starting at $17 per month. If you're looking for something more basic or affordable, you can consider alternatives like Veed, Adobe Firefly, or Filmora.

We've tested a range of video makers and editors, including the best video editing software, the best video editing apps and the best free video editing software.

• Leather jacket belonging to Nvidia CEO Jensen Huang sells for $960k, way above the $40-60k estimate
• Huang's jackets have become a tech sector icon and a staple CEO 'uniform' piece
• The proceeds wil help fund fellowships and more across tech

A black Tom Ford leather jacket worn and signed by Nvidia CEO Jensen Huang has sold at a New York auction for $960,000.

"The response to this sale surpassed even our highest expectations," Sotheby's head of modern collectibles Brahm Wachter explained, with the jacket selling for around $900,000 more than auctioneers had anticipated, given the auction house's estimate of $40,000 to $60,000.

The jacket itself – one of many that the CEO has owned, of course – has become a staple recognized by the entire tech sector, with Huang rarely spotted out in public wearing anything else.

Jensen Huang's jacket sold for $0.9 million

This specific jacket came from Tom Ford's Spring-summer 2023 collection, however the CEO has been wearing similar jackets for years, leading similar examples to have become essential parts of any Nvidia keynote or tech conference.

Huang is one of a growing number of CEOs who have chosen uniformity and simplicity in their clothing – Mark Zuckerberg's blue jeans and grey t-shirt, and Steve Jobs' black turtleneck, also become similarly iconic.

Independent verifiers are said to have confirmed both the jacket's authenticity and the signature's authenticity, revealing that it was worn by Huanh at the 2023 Foxconn Tech Day.

Clearly, it being Jensen Huang's jacket is the core reason why it fetched nearly $1 million at auction. His company, Nvidia, is somewhat of an AI success story, having risen from a valuation of around $300 billion in 2020 to $4.9 trillion today.

At the time of writing, Nvidia is the world's most valuable companies, just a reach ahead of Apple - with the $940,000 cost buying you around 4653 shares in the company at today's market price.

The proceeds are set to help fund Edge Institute, a nonprofit that will support fellowships, grants and residencies across the tech sector.

Via CNBC

The U.S. attacks were the ninth consecutive day of bombing since peace talks between the two countries collapsed in dispute over a memorandum of understanding focused on the Strait of Hormuz.

(Image credit: Atta Kenare)

The “AI” label no longer makes companies special. In today’s world, that is a fact that needs to be accepted.

Even just a year ago, if a business simply mentioned being “AI-powered” it was enough to immediately gather attention and appear innovative. Investors quickly grew excited, and media outlets were quick to pick up the next “hot story.”

Of course, that didn’t always mean that there was truth to such statements. The concept of AI washing — when companies misrepresented or even outright lied about the use of AI tools in their operations — had certainly done its share of damage to this industry while it stayed prevalent.

But today, even without such lies, the effect of AI novelty is disappearing. Every fintech company now has some kind of AI story. Compliance platforms use AI monitoring. Banks and fintechs talk about AI-driven service personalization. Chatbots and AI assistants are utilized practically by every other platform, no matter which industry we look at.

At this point, saying your company uses artificial intelligence feels almost the same as saying you have a website. People have learned to expect it almost by default. And this creates a very different communications environment.

The first wave of AI companies mostly had to convince their audience that the technology was possible. That task has certainly been accomplished. Now, the second wave faces the task of convincing people that their particular implementation of AI is trustworthy, useful, and worth the attention in a market that’s beyond overcrowded already.

That is much harder.

The conversation has changed

AI investment has exploded over the last two years. Enterprise spending on gen AI jumped from $11.5 billion in 2024 to $37 billion in 2025. That’s a whole 220% YOY increase. AI-focused startups continue to dominate venture capital conversations, to the point where nearly every technology company now feels the pressure to position itself as part of this race.

But something else happened along the way: consumers became more educated. If at first, AI sounded like something magical, now people have actually used it. They have seen hallucinations and strange outputs, and they’ve dealt with incorrect recommendations. They’ve had time to realize that AI can be useful, but also that the technology comes with its own frustrations and limitations.

As such, being “AI-powered” is no longer enough to stand out. Consumers have already moved past that stage. One of the biggest mistakes I see today is when companies still assume they have not.

Now, the conversation revolves around a much deeper point: “What does your AI actually improve for me?” For AI-focused companies vying for attention, the benefits of their specific approach are now the key battlefield where they have to win.

This is particularly important for financial and fintech companies, because financial services are built on trust. People may tolerate or even find humor in mistakes from an entertainment app, but they will not be pleased when their money or personal data are put at risk because of AI malfunctions.

The numbers clearly show this trust gap. While AI adoption continues growing, only 13% of consumers truly trust AI systems, and about 30% remain neutral rather than confident. Many people are still uncomfortable giving AI fully autonomous control over important decisions, especially in areas connected to finance or personal data.

At the same time, enterprises themselves also often contribute to the problem of trust by rolling out AI models before building the necessary structures to govern them.

A recent survey by McKinsey discovered that less than 15% of organizations obtain full security and IT approval before deploying AI agents. Or, to put it in other words, the vast majority of these systems come out without proper oversight and responsibility frameworks around them.

This very reality has now become the defining challenge of the next AI adoption phase. The market is no longer asking whether companies can use artificial intelligence. It’s asking whether they can use it responsibly. And that is precisely why I am of the opinion that AI communication from here on out needs to be very different from what we saw during the first hype cycle. It’s no longer about who shouts the loudest.

The main victory condition will be for companies to explain — clearly and realistically — how their systems work and how they benefit their users. And then they will have to continue proving that through sustainable action.

Transparency and governance are now a product feature

One important area to account for is transparency around AI limitations. Now that the broad public already has enough context and experience to understand that AI can fail, pretending otherwise would only damage a company’s credibility.

To earn trust, strong, honest communication is necessary that will openly acknowledge those points of failure. When a business wishes to present its own AI solution, it will need to explain upfront where its model works well and where its shortcomings lie. Customers should have clear expectations and understanding of the risks before they engage with the technology.

Some might think that admitting to shortcomings would be a mistake, a vulnerability. But honesty can yield more results than those people expect.

Clients are generally much more comfortable using services when they understand where the borders are. When they know how decisions are made, that safeguards exist, and that human oversight is still involved in the process, so if something goes wrong, they have someone real to talk to.

This is where competent governance enters the picture.

Be it to partners, clients, or regulators, businesses increasingly need to demonstrate that they are responsible about how they employ AI in operations. Whether decisions can be audited.

A few years ago, these topics were often hidden deep inside technical documentation, if they were brought up at all. Now, explainability of AI models is one of the biggest signals of trustworthiness that a company can project.

And honestly, I think this is healthy for the industry.

By now, AI has stopped being a mere marketing decoration and is leaning more and more toward becoming a full-on infrastructure layer in corporate operations. That means it needs to be properly managed, so that possible mistakes do not create reputational and monetary damage to countless involved parties.

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