Technology

• The number of companies using AI is up, but the number of tools per company hasn't grown much
• ONS data also confirms that AI doesn't seem to be having a major impact on headcount
• SMBs could be lacking a clear business use case for AI

New ONS data has claimed that while AI adoption has expanded rapidly across UK businesses, the actual depth of adoption is still limited, with most firms using just a small number of tools to improve existing processes rather than totally overhauling their businesses.

Among the businesses surveyed that had adopted AI, the number of tools they used only increased marginally from 1.4 to 1.6 in the three years leading up to 2026.

The ONS also revealed that, while 60% of larger businesses have used AI to improve business operations, no negative impacts on headcount have been observed.

AI adoption might be growing, but that's not the full story

The data mostly implies experimentation rather than widespread transformation, with just 17% of SMBs (0-9 employees) reporting extensive AI use, however the report warns that many small businesses are merely trying general-purpose AI tools rather than making substantial investments into tech that can truly unlock new levels of productivity.

What's less clear is why SMBs are falling behind their enterprise counterparts, because while 7-14% of all business sizes cited cost as a barrier, 41% of SMBs with 10+ employees said they didn't have any major barrier concerns.

Rather than being held back by costs, infrastructure or capability, the ONS data actually implies that SMBs might actually be lacking compelling business cases to use AI altogether.

All in all, the most recent data confirms that while SMBs haven't exactly ignored AI, they're still stuck in the experimentation stage. The readiness to use automation tech is very much there, but ability to identify a genuine use case is potentially holding back deeper deployment.

AI is now part of the operating system of SaaS. It shapes how products are built, how teams collaborate, and how quickly ideas move from concept to launch.

But speed isn’t the most important shift. The real change is that AI is reducing the coordination cost inside organizations.

Work that once required multiple layers of approvals, handoffs, and alignment can now move more directly between the people closest to the problem. And as that friction drops, something more fundamental starts to change: how companies are structured.

Projects that once demanded large teams, heavy investment, and long development timelines can now be delivered by smaller groups using AI tools to accelerate execution.

The rise of micro-SaaS businesses is one clear example, with small teams able to build and scale products with a level of speed that would have been difficult to imagine a few years ago.

This isn’t just about building faster. It’s changing what scale actually looks like.

From experimentation to infrastructure

Today, AI is embedded directly into product development, engineering, growth, and support. It’s no longer something teams experiment with on the side.

This has brought about a fundamental change: individual contributors can move faster, make decisions earlier, and deliver more on their own.

That has a direct impact on how teams scale.

And increasingly, the companies with an edge are not the ones with the biggest teams, but the ones that can remove friction and make better decisions faster.

Why scale no longer means more layers

Traditionally, growth came with added complexity. More customers meant more people. More people meant more managers, more processes, and more coordination.

At a certain point, coordination becomes a job in itself.

AI starts to break that pattern and bottleneck, freeing up time for quality decisions. When a product manager can analyze user feedback, draft a roadmap, and collaborate more directly with engineering using AI tools, you reduce the need for multiple handoffs. When a growth team can produce, test, and iterate on campaigns faster, execution accelerates without increasing headcount at the same pace.

It doesn’t remove the need for structure. But it does reduce the need for layers whose main role is coordination.

And that opens the door to a different model of scaling: one that is lighter, more direct, and more focused on making the right decisions, not just executing faster.

The return of the “contribution era”

What we’re starting to see is a shift back toward what could be called a contribution-led model. For a long time, SaaS organizations leaned heavily into management structures. That made sense when scaling meant handling more complexity across teams, regions, and products.

Now, as AI lowers the cost of execution, the balance starts to shift again: the biggest advantage AI creates is not productivity but organizational simplification.

Strong individual contributors who can own a problem and drive it to completion become even more valuable. They don’t need to wait for as much coordination. They can test, build, and iterate independently. And they can do it while staying closely connected to the outcome. Importantly, this isn’t about removing managers. It’s about rebalancing the system.

What builder-led really looks like in practice

A builder-led model doesn’t mean everyone is an engineer, and it doesn’t mean structure disappears.

It means the people closest to the work have more autonomy to move it forward.

You see this already across teams:

• Product teams prototyping faster using AI-assisted tools
• Growth teams running more experiments with shorter feedback cycles
• Support teams handling higher volumes while focusing human attention where it matters most

In each case, AI is not replacing people. It’s increasing their speed and range.

And when that happens consistently, the bottleneck shifts. It’s no longer capacity. It’s clarity and decision quality: knowing what to work on, what to prioritize, and where to invest time.

This is where leadership becomes even more important, not less.

Instead of focusing on overseeing activity or managing layers of communication, leaders have to focus on creating the right conditions for execution.

In practice, it often looks like:

• Fewer approval steps
• More direct communication between teams
• More emphasis on outcomes rather than process

Leaders still set the direction and make the hard decisions. But they rely more on capable contributors to carry things forward.

In many cases, the most effective leaders are those who can still contribute when needed, not just coordinate others.

Hiring for ownership, not just specialization

This shift also changes how companies think about hiring.

Specialists remain essential. But, if smaller teams can deliver more, the focus moves toward people who combine expertise with ownership, and have a strong ability to make good decisions in fast-moving environments. There’s growing value in hiring people who can operate with autonomy, make decisions, and adapt as things change.

In a builder-led environment, the question is less “what is your lane?” and more “how effectively can you solve the problems in front of you?”

That doesn’t mean everyone needs to do everything. It means teams benefit from individuals who can connect dots, move across boundaries, and take responsibility for outcomes.

Building smarter, not just bigger

It’s important to stay grounded in how this shift plays out. AI won’t fix weak strategy or unclear thinking, and layering it onto already complex processes can sometimes create new friction rather than remove it.

At Weglot, we've seen teams ship projects with significantly fewer handoffs than two years ago. Marketing can prototype ideas faster, product teams can validate concepts earlier, and engineers spend less time on repetitive tasks.

Our support team is another good example. Over time, they've built a suite of AI-powered tools including a case summarizer, customer profiler, drafting assistant, internal copilot, knowledge base, and AI chatbots. Together, these tools help agents access context faster, learn from previous cases, and resolve more requests independently.

The biggest change isn't speed itself. It's the reduction in coordination overhead, which is ultimately a more sustainable way of scaling.

Smaller, highly capable teams with clear ownership tend to stay closer to the product and the customer and can adapt more quickly when things change. We’re already seeing that in micro-SaaS businesses, but the same thinking applies more broadly.

AI will continue to evolve, but one direction is becoming clear. The companies that will stand out are not necessarily the ones that grow headcount fastest. They’re the ones that stay focused, reduce friction, and make it easier for their best people to build and deliver impact.

We've featured the best website for hiring niche employees.

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

What do you mean Heartstopper Forever hasn't actually ended? Alongside the fact that the new movie is now streaming on Netflix, the streaming service has slyly announced a "companion piece" — Heartstopper: Ending on a Hi.

Obviously, we learned exactly what would happen to the gang once the cameras stopped rolling, and were left happy in the belief that Nick (Kit Connor) and Charlie (Joe Locke) definitely weren't breaking up, despite how much their terrible communication threatened to do just that.

So... what is actually coming out way? And when does Heartstopper: Ending on a Hi arrive on Netflix?

What time can I watch Heartstopper: Ending on a Hi on Netflix?

(Image credit: Netflix)

Heartstopper Forever drops on Netflix on July 24, 2026.

As for the exact time, it should be the standard 12am PT release that we saw for the movie.

For global regions, here's when you need to be prepared:

• 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

What exactly is Heartstopper: Ending on a Hi?

(Image credit: Netflix)

Heartstopper: Ending on a Hi is an official 35-minute behind-the-scenes documentary special.

Netflix describes it as a "love letter to the franchise, featuring unseen archival footage, cast interviews, and fan reactions following the final Heartstopper: Forever film."

Don't take the title as a sign of something more to come, though... it's a reference to the very first time Nick and Charlie met in season 1.

Every enterprise I talk to right now has the same complaint dressed up in different language.

Their AI bills are climbing faster than anyone budgeted. Their model invoices look reasonable when viewed on their own.

But somewhere between boardroom approvals and the monthly cloud statements, money is disappearing in ways that nobody can fully explain.

Here’s the central issue that people struggle to understand: the most expensive part of AI isn't always the model itself. It's the infrastructure, orchestration, retries, idle GPUs, oversized context windows, and inefficient routing decisions that sit between a user's prompt and the final response.

This is something I call the hidden tax on AI adoption, and it's growing faster than most organizations realize.

Three numbers that should change how you think

Recently, at FinOps X in San Diego, a Goldman Sachs projection appeared on the main stage. Current enterprise token consumption globally sits at around six quadrillion tokens. The three-year projection: 120 quadrillion. That is not a rounding error… it is a 20x expansion, and it is arriving faster than the governance frameworks to manage it.

The same conference saw our launch of the Tokenomics Foundation (I’m fortunate to be a governing board member). It’s a vendor-neutral body inside the Linux Foundation dedicated specifically to the economics of AI token consumption.

The FinOps community, practitioners who have spent the better part of a decade building discipline around cloud computing spend, recognized that tokens represent a fundamentally different problem. Not a harder version of cloud cost optimization. A different one.

Here is why. When your organization runs a cloud workload, the cost is relatively legible. You provision compute, it runs, and you receive a bill. The relationship between action and expense is traceable. With AI tokens, that relationship fractures across three layers, and most organizations have visibility into only one.

Production → consumption → value: the three layers most teams ignore

The first layer is production. Before any AI model responds to any prompt, your infrastructure has to manufacture the tokens. GPU clusters, inference nodes, autoscaling policies, Kubernetes configurations: these are your token factories. Their efficiency, or lack of it, determines the base cost of everything that follows. A GPU node at 30% utilization is an expensive factory running at a third of capacity.

The second layer is consumption. This is where counterintuitive economics live, and it is what I spend most of my time thinking about. Two organizations can send identical prompts to different coding agents and arrive at radically different costs depending on how they manage context, caching, retries, routing, and the infrastructure supporting inference.

Prompt length, context window usage, caching strategy, and model routing decisions all compound. The common assumption that routing a task to a cheaper model always saves token cost, turns out to be wrong often enough to matter. A routing decision that invalidates a warm cache can make a "cheaper" model call more expensive than the frontier option it was meant to replace. These are second-order effects. They do not appear in standard dashboards but they appear in your monthly bill.

The third layer is value. This is the one that FinOps teams are comfortable with, and the one that matters least until you have the first two under control. Mapping token spend to business outcomes is a legitimate and important discipline. But you cannot govern at the value layer without instrumentation at the production and consumption layers. You are doing math with incomplete inputs.

Why 85% of your AI spend is probably misallocated

Here is a pattern I see consistently. Organizations treat frontier AI models, the most capable, most expensive models available, as their default infrastructure. Every task goes to the same model. Every prompt is constructed the same way. There is no routing logic, no tiering, no architectural distinction between work that genuinely requires the full capability of a frontier model and work that does not.

Based on my observations across organizations deploying AI at scale, roughly 15% of software development tasks actually require frontier model capabilities. The remaining 85% of routine coding, summarization, classification, and retrieval work can be handled by smaller, faster, and less expensive models, if you have the infrastructure to make those decisions intelligently and automatically.

The unlock is not picking better models manually. Manual model selection does not scale and degrades the developer experience by introducing friction at the moment when a developer needs to move fast. The unlock is building infrastructure that makes routing decisions for you: one that understands the task, routes it to the appropriate model tier, evaluates output quality, and escalates if needed. You specify the outcome you need. The system handles the economics of achieving it.

This is the direction the industry is moving, and the organizations that build this capability first will have a structural cost advantage that compounds over time.

The invoice arrives last. And you realize something has gone horribly wrong

There is a phrase I have started using with customers that captures the core problem: the invoice arrives last.

By the time you see the model provider bill, the cost decisions were made weeks ago in infrastructure configurations, autoscaling policies, and prompt architectures that nobody has reviewed since the initial deployment.

The retry logic runs silently when an upstream service slows down. The GPU nodes were reserved for peak traffic that never came. The agentic workflow, where a single user request fans out into dozens of model calls beneath it, each billed separately, none visible in the tool that generated the original request.

These costs do not live in the model invoice. They live in the infrastructure layer, in the consumption layer, and in the gap between how teams think their AI systems work and how they actually behave in production. You cannot govern what you cannot see. And right now, most teams are looking at one layer of a three-layer problem.

When AI goes from copilot to coworker, the stakes multiply

There is a shift underway that makes all of this more urgent. The AI deployments most enterprises built over the last two years were assistants, tools that accelerated individual work by handling the first draft, the next suggestion, and the boilerplate. A human remained in the loop at every consequential step. The economics were bound by how many people were using the tool and how often.

Autonomous agents change the economic profile entirely. When an AI system can receive a goal, build a plan, execute multi-step work, evaluate its own outputs, and iterate to completion without human intervention at each stage, you are no longer running an assistant. You are running something closer to a coworker, one that operates continuously, scales horizontally, and generates token consumption at rates that individual user interactions never approached.

The transition from copilot to coworker has already happened. And the governance implications are significantly more serious. A copilot with poor token economics costs you some efficiency. An autonomous agent with poor token economics runs that inefficiency at scale, continuously, without generating the natural friction that would cause a human user to pause or change approach. Infrastructure discipline and token optimization need to be in place before autonomous workloads scale rather than retrofitted afterward when the bill arrives.

The mandate for infrastructure teams

The right answer to this problem is not more dashboards. More visibility into a system you cannot control is just a more detailed invoice; it arrives with the same lag, and it changes nothing about the decisions that were already made upstream.

What infrastructure teams actually need is control that operates at the layer where costs are determined, not where they are reported. That means autonomous management of GPU and inference workloads, continuously rightsizing to match actual demand rather than peak assumptions, absorbing the bursty consumption patterns that agentic jobs produce, and moving compute capacity across providers when one environment becomes the bottleneck.

This is especially urgent now, because the transition from copilot to coworker does not give you a grace period to retrofit discipline. Autonomous agents do not pause. They do not get frustrated and choose a different approach. They run the inefficiency you built into them at scale, continuously, until something external stops them.

So the next phase of enterprise AI is defined by who can deploy models efficiently. As AI systems become more autonomous and token consumption accelerates, competitive advantage comes from understanding the full economics of AI, and not just the price of a model call.

Because by the time the invoice arrives, the decisions that shaped it have already been made.

Use the best business cloud storage to manage your data.

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

Insta360 is the major player in all-seeing 360-degree cameras and is no stranger to innovation, also incubating the first 360-degree drone in 2025, the Antigravity A1.

In another first, Insta360 recently released a dual-lens compact vlogging camera, the Luna Ultra, which is a Wall-E robot lookalike that shoots 8K video, with neat detachable remote screen and mic.

And if a recent post on Weibo by its founder and CEO Liu Jingkang, aka 'JK', is to be taken at face value, the company wants to lead us into a new era of camera altogether.

The Weibo post by JK was picked up by The New Camera and after translation reads:

“Our product vision is to build a ‘Cameraman’ — an intelligent photography robot capable of automatically composing shots and capturing moments like a professional photographer, allowing users to remain fully immersed in the present.

"Today, AI is rapidly evolving, we believe the Cameraman’s 'brain' is becoming increasingly capable, unlocking new possibilities for creative imaging.

"In the long term, the ideal end state for cameras is to progressively become imperceptible, even to ‘disappear,’ until recording no longer consumes effort and becomes a natural part of life.”

The Luna Ultra already resembles a robot and there's a POV head tracker accessory available that synchronizes the camera with your head movement to film where you are looking, somewhat automating its function.

Insta360 hopes fans further caricaturize the Luna Ultra's robot-like features through a design challenge contest with Bambu Lab, too. But as a photographer and, frankly, a human being, JK's post raises some serious questions for me.

Here I am, filming with the Luna Ultra. In future, could Insta360 might make autonomous cameras like these? (Image credit: Future / Tim Coleman)Isn't photography a creative, human pursuit?

JK's post implies that his company's future camera gear could be autonomous photography 'robots' that can compose, shoot and edit photos and videos on the fly, with little to no human involvement.

It sounds like having your own intelligent cameraperson and editor — a portable 'photography robot' much more sophisticated than the recent Beni camera robot — that follows you and is able to capture the moment as you enjoy it and piece together the best parts into a reel, with the entire workflow reliant on AI.

This imagined future might actually sound better than the current reality, to be honest: one where people walk around camera in hand, filming themselves front and center, rather than being in the moment.

And certainly when you're dealing with 360-degree clips, an intelligent editor which can suggest where the action is at any moment and piece together the edit appropriately for you is a huge time saver.

For Insta360 gear specifically, JK's vision for autonomous, intelligent cameras kind of makes sense. But as a photographer and creative, I find the idea of a 'robot' doing the job for me somewhat life sucking. It's the latter part of JK's post, however, that concerns me more.

It's come to light that modders have been able to disable the light that indicates when Meta Ray-Ban glasses are recording video. Meta says extra measures are being put in place to prevent this (Image credit: Future)Is it really OK to record everything?

JK's post describes an 'end state for cameras' being progressively 'imperceptible' and 'a natural part of life'. In other words, roaming cameras that the public eventually gets used to, recording anything and everything. So what about consent?

Discreet camera tech is already causing privacy concerns, with a growing backlash to wearable cameras especially Meta's Ray-Ban smart glasses, after it was discovered that modders could disable the light which indicates that the glasses are recording, and a fix had to be put in place.

Cameras are already commonplace in public, especially tourist hotspots. But for the most they are controlled by people with a general sense of what is and what isn't ok to photograph or record. And when someone crosses the line, it's at least possible to request they stop filming. But in Insta360's imagined future? Autonomous robots filming everything sounds like a privacy nightmare.

I've asked Insta360 for comment and clarification on the post, specifically what exactly an intelligent photography robot looks like, and how the company will address any related privacy issues, and will report back if I get further information.

Adobe is a popular brand when it comes to all things creative, including AI content generation and editing. With its newly improved Firefly tool, Adobe has taken AI content generation a step further with realistic, real-time outputs.

In addition to being highly accurate, Firefly is also one of the most affordable tools on the market today. But is it the best AI video editor for your needs? Read on to find out. In this article, we've put Firefly to the test, examining its features, pricing, ease of use, and overall value for money.

Adobe Firefly: Plans and pricing

Adobe Firefly is available online by clicking here, as well as part of the Creative Cloud suite of apps.

It offers one of the most generous free video editing software we've seen. Instead of capping your monthly or one-time usage, Adobe allows you to generate a limited number of images and videos each day. This means you can continue using Firefly for a longer period, provided you stay within the daily limits.

What we like about the free plan is that Firefly does not lock its image or video editing features behind paywalls. Even on the free plan, you get access to features such as Generative Fill, Background Removal, AI Markup, video upscaling, text-based editing, as well as audio features such as generating soundtracks, speech, text-to-avatar, and more. Unlike other platforms, Firefly's free plan can actually come in handy for limited individual use.

(Image credit: Adobe Firefly)

Its paid plans are also among the most inexpensive we've seen in the category, with the Standard plan starting at $8.49 per month when billed annually, which comes with 2,000 credits.

With this plan, you get access to all the AI models Firefly has to offer, with hard upper limits on the number of images and videos you can generate with each model. Videos, however, are capped at a maximum duration of five seconds, which might not be enough for users looking to generate long-form content. Besides this, you get access to unlimited Firefly Boards, while the remaining features stay the same as those in the free plan.

Next is the Pro plan at $16.99 per month (4,000 credits), billed annually, where you get unlimited access to several AI models such as Gemini 2.5 Flash, FLUX.1 Kontext, and others. The maximum number of images and videos you can generate is also higher than in the Standard plan.

Then there's the Pro Plus plan, priced at $29.38 per month, where you get up to 10,000 credits and higher limits on image and video generation. In this plan, a wider range of models comes with unlimited access, including Gemini 3.0, ChatGPT Image, Runway Gen-4.5, and Gemini 3 Nano Banana Pro 2K.

Finally, there's the Premium plan at $118.93 per month, offering 50,000 credits and unlimited access to almost all AI models except a few. This plan is ideal for large content creation and creative teams.

Adobe Firefly: Features

Right off the bat, what impressed us most about Firefly is its brainstorming and early-stage concepting feature called Firefly Boards. It is essentially an infinite-canvas mood board and ideation workspace that lets you upload your own images, sketches, or stock images, or generate new ones.

You can select multiple assets and combine elements while brainstorming ideas with your creative team. This is similar to Midjourney- or Discord-style iteration, giving remote creative teams a space to flesh out new ideas.

(Image credit: Adobe Firefly)

Moreover, Firefly offers access to more than 10 popular video, audio, and image models, each with its own limits on the amount of content you can generate. Some notable features are Generative Expand and Generative Fill, which let you expand the canvas of an image or video after it has been generated using Adobe's AI engine. Similarly, there's also Generative Remove, which helps you remove elements from a piece of content.

Firefly also throws in a range of audio features, such as the ability to generate speech, translate videos from one language to another, or add text-to-sound effects to your content. However, we were a bit disappointed with its video editing features, such as trimming, arranging, and refining content, all of which are still in beta. Its AI assistant is also at a very early stage and currently supports only one conversation at a time.

You also have the option to upload an image to provide Firefly with a style or structure reference and create a consistent look across a batch of images. Unlike many other AI tools, Firefly allows you to use your own images to train its AI models and create custom models. This is still an early-stage feature, and we expect it to improve over the next year or so.

Firefly has also expanded its multilingual reach and now supports prompts in more than 100 languages, along with translations in more than 20 languages. There's also an option for bulk actions such as background removal, color grading, and cropping.

Its mobile apps have also improved a lot over the past year and now offer native iOS and Android apps with an experience that's very close to the web interface. And of course, Firefly is part of Adobe's broader AI-powered content generation and editing ecosystem, integrating directly with apps like Photoshop and Illustrator.

Adobe Firefly: Interface and in use

Adobe Firefly is by far one of the most improved image and video editing software we have seen in a long time. One of the biggest criticisms of Firefly was that it did not offer any option to edit the images it generated. However, all that has changed with its revamped user interface.

Not only did it generate a pretty high-quality image for us, but it also provided several editing options. We especially liked its Tune feature, which is currently in beta and allows you to change the look of an image by selecting from a list of preconfigured options.

There is also a prompt option, which lets you keep fine-tuning your generated image with follow-up prompts.

(Image credit: Future)

However, if that is too much work, there are several fine-grained controls available. For instance, there is a Fill feature that lets you fill any blank spaces in the image with an element of your choice. Similarly, there's the Remove feature, which lets you remove any element you do not want in the final result.

What we liked the most is its Select feature, where you can select a particular element in an image or video and then type a prompt to edit only that selected portion. This helps avoid unwanted changes in other parts of the image or video and ensures that the edit is applied only to the section you selected.

(Image credit: Future)

The generation interface itself is pretty simple. You'll see a prompt box at the bottom of your screen, along with a panel on the left-hand side where you can control the generation settings.

For instance, you can select the model you want to use, the resolution, the aspect ratio (16:9 or 9:16), and the duration of the video. There is also an advanced setting where you can enter a random seed value to experiment with the AI engine settings.

What we found particularly eye-catching is the prompt enhancement feature, which lets you improve your prompts before generating an image or video. This helps you create more detailed prompts, which in turn result in more accurate outputs.

Adobe Firefly: How we tested

We tried the free version of Adobe Firefly over several days and were quite impressed with the results. We first tried to create an AI image with the following prompt:

"A tired line cook in a stained white apron, frowning with exhaustion, wiping sweat off his forehead while chopping six carrots on a wooden cutting board. Behind him, a dim, cluttered restaurant kitchen with steam rising from a pot. Photorealistic, dramatic low lighting, shot on 35mm film."

As soon as we hit Generate, Firefly got to work and produced a pretty impressive image that closely matched our prompt.

(Image credit: Future)

However, it's worth noting that Firefly is a tad slower compared to the likes of Fliki or Kapwing. That said, the accuracy of the results is worth the wait.

Once the image was generated, we clicked on it to open the editing panel and played around with the settings. For instance, we selected the burning steel pot behind the cook and prompted Firefly to change it to a wooden pot instead.

Rather than simply making the change, Adobe gave us an Edit Strength slider, allowing us to control how strongly the wooden effect was applied to the pot.

(Image credit: Future)

We then tried the Remove feature by selecting a bunch of carrots and asking Firefly to remove them. Adobe once again impressed us, as it accurately removed the carrots without distorting the chopping board around them.

(Image credit: Future)

Lastly, we used the Upscale feature to improve the quality of the image. This took the longest, more time than it took to generate the image in the first place. However, we were once again very satisfied with the final result.

We also generated 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)

The results were again highly accurate, the colors were vibrant, and we were impressed by how closely Firefly followed the prompt without significantly diverging from the intended output.

Adobe Firefly: Alternatives

Although Adobe Firefly is a much-improved product, it does have a few shortcomings, which is why you may want to consider some alternatives. For instance, Adobe isn't the best choice if you want to generate AI avatars. Although it offers the feature in a limited capacity, the results are not what you'd expect from a dedicated AI avatar generation tool.

In that case, you can try Kapwing, which offers one of the most extensive collections of AI avatars. You can choose from a wide range of characters, including traditional human-inspired faces and more outlandish options such as aliens, Cupid, demons, cyborgs, Dracula, and more.

Kapwing produces some of the best photorealistic AI avatars we have seen in the industry. It is also one of the few tools that can render videos in 4K quality. That said, it is a bit on the expensive side, with plans starting at $16 per month.

If you need a dedicated AI assistant to help with content generation and editing, you can try Fliki, which offers an AI Copilot that understands natural language inputs and helps you achieve your desired results more effortlessly. It also includes licensed YouTube music and advanced video generation options such as stop-motion videos.

Fliki also offers a wider range of customization options compared to Adobe Firefly, such as choosing the format and template, customizing the type of character, selecting the AI model you want to use, and adding voiceovers, captions, and AI avatars.

Adobe Firefly: Final verdict

Adobe Firefly is one of the best-known names in the content creation industry, and its recent improvements put it right at the top of our list of the best AI video editors. Firefly offers more than 10 AI models for image, video, and audio generation, helping you create photorealistic images, videos, and audio with simple prompts.

We were particularly impressed by Firefly Boards, which helps you brainstorm ideas on an endless online canvas in real time while collaborating with your content team. Firefly has also improved its editing interface and tools and now supports follow-up prompt editing, along with features like Generative Fill and Generative Remove.

That said, it has a few drawbacks, such as the lack of mature video editing tools, which are still in beta, and rather limited AI avatar generation capabilities. That said, if you already use Adobe tools like Illustrator or Photoshop, adding Firefly to your repertoire is a no-brainer.

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.

• Rheya combines emergency battery power with software designed to predict sewage spills
• Power failures at pumping stations can turn routine blackouts into environmental pollution
• Rheya battery will predict the underlying causes of spills before they occur

UK startup Rheya Labs has developed backup batteries designed specifically to keep sewage pumping stations running during power failures across Britain.

The company was named one of 20 finalists in Ofwat’s £7.5 million Water Discovery Challenge, run by the Water Innovation Fund.

Each finalist receives up to £100,000 in seed funding, forming part of a wider £7.5 million pot distributed over 20 months.

A different approach to an old problem

Sewage spills are a longstanding, common issue, often blamed on overloaded systems or heavy rainfall.

England recorded around 290,000 sewage discharges from storm overflows during 2025, lasting roughly 1.9 million hours combined across the network.

Power failures at pumping stations are widely recognised as one trigger for these spills, alongside heavy rainfall and ageing infrastructure

Rheya Labs is now working on a system that pairs instant battery backup with software designed to flag faults before they cause spills.

When power cuts strike, Rheya's batteries instantly take over the pumps, preventing raw sewage from spilling into rivers and streets.

The system also applies machine learning to pump data, aiming to predict the underlying causes of spills before they occur.

Co-founder Ben Taylor said sewage pollution remains an ever-growing crisis across the UK, calling power resilience at pumping stations a hidden but major cause.

Predictive analytics may give Rheya the edge

Elsewhere, Sydney Water has trialled sodium-ion battery packs at its Bondi pumping station, offering a cheaper alternative to lithium-ion systems.

That Australian project, backed by a $10.6 million grant, pairs a 30-kWh sodium-ion pack with rooftop solar generation for backup power.

In New York, Viridi's 150 kWh lithium-ion battery system replaced diesel generators, supplying backup power for between 32 and 90 hours.

Unlike those systems, Rheya's technology reportedly combines instant power backup with predictive analytics, potentially spotting faults before failures actually happen.

“With our rapidly changing climate, it is more vital more than ever that we double down on our efforts to create a water system able to support lives and livelihoods,” said Jo Jolly, Ofwat’s Director of Innovation.

“The array of new ideas from new players is astounding. The challenge is getting these ideas delivering impact on the ground, with the sense of urgency these times need.”

Whether Rheya's approach genuinely outperforms established sodium-ion and lithium-ion systems remains unproven outside controlled trials and early pilot deployments so far.

Independent verification of Rheya's spill-prediction claims has not yet appeared in public trials, leaving the early results largely anecdotal for now.

Up to ten finalists, potentially including Rheya, will share £550,000 each next April, funding further testing before wider rollout across the water network.

The success of this project will ultimately depend on whether predictive software matches the reliability already demonstrated by simpler sodium and lithium alternatives.

Who'd have thought that the first big spinoff to come out of The Big Bang Theory (not including Young Sheldon and Georgie & Mandy's First Marriage, as they're Sheldon-adjacent) would focus on awkward comic store owner Stuart (Kevin Sussman)?

Our new heroic lead, on-off girlfriend Denise (Lauren Lapkus), as well as friends Kripke (John Ross Bowie) and Bert (Brian Posehn), are brought back together when Stuart triggers a multiverse Armageddon by accidentally breaking a device built by Sheldon (Jim Parsons) and Leonard (Johnny Galecki).

Theoretically, the new comedy show could run until the end of time. But first things first: when does Stuart Fails to Save the Universe episode 1 arrive on HBO Max?

What time can I watch Stuart Fails to Save the Universe episode 1 on HBO Max?

For US viewers, Stuart Fails to Save the Universe episode 1 will drop on Thursday, July 23 at 6pm PT/ 9pm ET.

Internationally, you're looking out for these timings:

• US – 6pm PT / 9pm ET
• Canada – 6pm PT / 9pm ET
• UK – Friday, July 24 2am BST
• India – Friday, July 24 at 6:30am IST
• Singapore – Friday, July 24 at 9am SGT
• Australia – Friday, July 24 at 11am AEDT
• New Zealand – Friday, July 24 at 12pm NZDT

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

(Image credit: HBO Max)

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

• Episode 1: July 23
• Episode 2: July 30
• Episode 3: August 6
• Episode 4: August 13
• Episode 5: August 20
• Episode 6: August 27
• Episode 7: September 3
• Episode 8: September 10
• Episode 9: September 17
• Episode 10: September 24

• A startup founded by former teenage drone-racing champions won a US Army contract worth up to $500 million for its FPV attack drones
• This marks the Pentagon's largest small-drone contract ever, running up till 2031 even as it grapples with taking on Chinese-built drones and components with a much smaller manufacturing base
• This contract allows Neros to push for a 250,000 sq ft factory targeting one million drones annually by 2028

Neros Technologies, founded in 2023 by former teenage drone-racing prodigies Soren Monroe-Anderson and Olaf Hichwa, has won a US Army indefinite-delivery contract worth up to $500 million for its Archer FPV attack drones.

The contract runs through June 2031 and is among the largest of its kind. It comes off the back of tens of thousands of deliveries to Ukraine under a multinational drone-coalition contract. Neros maintains a Kyiv office supporting the country's war effort, where the Archer serves as a Chinese-component-free alternative to the cheap drones that dominate the market elsewhere.

It marks one of the Pentagon's biggest commitments yet to the cheap, expendable aircraft that Ukraine's war has turned into the defining weapon of modern ground combat, and, increasingly, of the airspace just above it.

What is Neros' Archer Drone?

The Archer drone is arguably the most successful US-manufactured budget FPV drone to date.

With two years of Ukrainian frontline use, deliveries running at a thousand-plus per month, and cumulative shipments in the tens of thousands, Neros has a record no other US maker comes close to matching on volume alone.

The Archer is an 8-inch quadcopter carrying a 4.5-pound payload beyond 12 miles, built entirely without Chinese components: a rare mix that put Neros on the Pentagon's Blue UAS approved list and earned it Chinese sanctions.

The deal for Neros' Archer flows from the Army's Purpose-Built Attritable Systems (PBAS) program, which selected it last November as one of three primary manufacturers tasked with pushing modular FPV drones down to the platoon level, and it lands amid a service-wide procurement lurch: Army officials say they intend to grow annual drone purchases from around 50,000 to at least one million within roughly two years.

Neros is hoping not only to ride the wave but to capture the bulk of it: the endeavor that started with 30 basement-built drones the founders hand-delivered to Ukraine for testing is now aiming considerably higher, with the US military underwriting its ambitions.

There is a reason for this: Neros is the closest thing the US has to an answer to Chinese dominance in the industry. This year, it occupied Project Millennium, a 250,000-square-foot Los Angeles facility roughly 100 times its previous footprint, and it has publicly committed to reaching 1 million drones a year by 2028.

If the promise holds, Neros would single-handedly increase current US drone capacity roughly tenfold: a 2025 estimate put total American manufacturing capacity at approximately 100,000 units a year.

For now, the Pentagon's Drone Dominance initiative, roughly $1.1 billion aimed at fielding some 300,000 low-cost attack drones by the end of 2027, keeps colliding with the fact that most American-made FPVs cost multiples of the roughly $5,000 per unit the military currently wants to pay.

Turtle Beach Command Series KB7: one-minute review

Want a high-performing gaming keyboard with an integrated touchscreen for streaming and seamless customization? Then the Turtle Beach Command Series KB7 could be exactly what you’re looking for.

I replaced my usual mechanical keyboard with this TKL model for a few days, and instantly found it to be a joy to use. The low-profile Hall effect switches supply precise, responsive, and buttery smooth typing, with a muted sound that’s great for focusing in-game or for general day-to-day productivity. It's less ‘clicky’ and snappy than some may like, but the lowkey sound and feel was ideal for me.

Like a lot of the best gaming keyboards, there’s also 8K polling, alongside 0.125 latency for instant response typing. On top of this, you get important features like Rapid Trigger, adjustable actuation and remappable keys.

The true highlight, though, is the integrated 4.3-inch touchscreen. This has built-in controls for streamers, providing quick access to OBS and StreamLabs, but also has shortcuts for apps like Spotify and Steam among others. I appreciated how you could use the screen to view PC performance, in-game stats, or set web page bookmarks. You can also use the touchscreen as a numpad, and it feels highly responsive in use.

I also really like the design of the KB7. Its slim aluminum chassis, tactical media control knob, customizable RGB lighting, and generally high standard of build help it to feel worth its relatively high asking price.

There’s no battery option if you want to use the keyboard wirelessly, largely due to the power required to keep the touchscreen going, but those focused on optimized performance will want to go for a wired option anyway. And all things considered, I think the Turtle Beach KB7 is a fantastic gaming keyboard, and one I just might have to continue using for all my PC gaming needs.

(Image credit: Future)Turtle Beach Command Series KB7 review: price & availability

• $199.99 / £189.99 / AU$349
• Released in May 2026
• Arrived alongside Turtle Beach’s KB5 keyboard

The Turtle Beach Command Series KB7 was released in May 2026 alongside the Command Series KB5 — a full-sized keyboard with a smaller touchscreen and mechanical switches.

Unsurprisingly, then the KB7 is pricier than its sibling, and has a list price of $199.99 / £189.99 / AU$349. It goes without saying that it’s undoubtedly a pricey keyboard, but for a TKL with this much tech, it’s not too far from the competition. For instance, the Corsair K70 Pro TKL, which comes without a touchscreen, will typically set you back about $179.99 / £169.99 / AU$239.

Turtle Beach Command Series KB7 review: specs

Layout

TKL

Switch

Titan Low-Profile Hall Effect

Programmable keys

Yes

Dimensions

15.7 x 10.1 x 1.2 inches / 399 x 256 x 31mm (with palm rest)

RGB or backlighting

Yes (customizable)

(Image credit: Future)Turtle Beach Command Series KB7 review: design & features

• Great standard of build
• Touchscreen with streaming controls
• Customizable lighting

First things first, I have to say that the build and quality of the KB7 impressed me. It has a slim aluminum chassis, stylish and sleek look, and premium-feeling keycaps. The keyboard also has a modular design, meaning you can add on the Turtle Beach KP7 keypad as well as the included wrist rest.

And I found said wrist rest to be a great addition — it’s comfortable, well-made, and ensured that using the keyboard for extended periods still felt comfortable. The only real downside is that it increases the keyboard’s footprint a fair bit, so you’ll need a decent-sized desk if you’ve also got a PC / laptop hooked up to a couple of monitors like I do. It’s also worth noting that the KB7 has a double kickstand, and this also helped to reduce fatigue after furiously typing for multiple work days in a row.

The keyboard also features customizable per-key RGB lighting with Turtle Beach’s Swarm II software, accessible via the built-in touchscreen. In my view, the lighting looks great, especially in low-lit conditions. I also really like how there’s an option to create dynamic effects and sync your lighting setup across multiple devices.

(Image credit: Future)

I touched on it a moment ago, but the stand-out feature of the KB7 is the built-in touchscreen. The real highlight here is that the touchscreen features streaming controls. You can easily access OBS and StreamLabs with a single button touch. It’s a useful inclusion, but if you’re not a streamer, there are options for you too. For instance, you can use the touchscreen to set shortcuts for apps like Steam and Spotify, or for websites you frequently visit — you know, like TechRadar.

What’s more, the Swarm II software enables you to personalize aspects like Rapid Trigger and actuation settings or remap keys. You can actually alter the actuation of every key individually, and while I don’t expect most users will need that level of granular control, the sheer degree of customization is undoubtedly impressive.

Finally, there are a few useful buttons, for things like skipping and rewinding media and muting your mic. I also love the tactile control wheel for adjusting volume, although there’s also a dedicated volume mixer available on the touchscreen.

(Image credit: Future)Turtle Beach Command Series KB7 review: performance

• Fantastic typing experience
• Although lighter, more muted feel won’t suit all
• Great for gaming or general productivity

I typically use a mechanical Keychron mini keyboard, and so moving over to the KB7 felt like quite the jump.

Why? Well, it comes down to how typing feels on this TKL keyboard. The low-profiled Hall effect keys feel phenomenally smooth and buttery to press down on, and they produce very little noise. The more muted sound and feel was very different from my usual mechanical keyboard — which has more of a clicky, snappy profile. I much preferred the KB7 to my usual keyboard, though, and although the more lowkey sound and feel won’t suit all, I think it’s ideal for focusing while gaming or working.

Speaking of, I found the KB7 to be a great performer, whether I was playing games or just carrying out typical tasks at work. It’s an extremely responsive model too, carrying an 8K polling rate and 0.125ms latency. Those kind of numbers are certainly good enough for competitive gamers, and I found the KB7 offered pin[point precision at all times.

The touchscreen is also well-sized, and using commands feels highly reactive and reliable. The touchscreen can also display PC performance info and show in-game stats (such as ammo and games won, for instance).

One thing that’s definitely worth flagging, though, is that this keyboard is wired only. The 4.3-inch touchscreen requires quite a bit too much power to run off a battery, so you do lose some of the flexibility that some rivals supply. Having said that, you’ll want to be using your keyboard wired for the best performance and lowest latency anyway, and as a gaming keyboard first and foremost, I don’t consider its wired-only setup to be a major issue.

(Image credit: Future)Should I buy the Turtle Beach Command Series KB7?

Attributes

Notes

Rating

Design & features

Slim, modular design with handy touch-screen and lots of customizability.

4.5/5

Performance

Smooth, reactive typing, 8K polling rate, wired only, but understandably so.

4/5

Value

Undoubtedly expensive, but stacks up well against rivals.

4/5

Turtle Beach Command Series KB7 review: also consider

SteelSeries Apex Pro TKL Wireless Gen 3
There’s a reason why the SteelSeries Apex Pro TKL Wireless Gen 3 is one of our favorite gaming keyboards here at TechRadar. It boasts a premium build, supplies excellent performance, and its analog switches function very well. It’s pretty pricey, but it’s still a top pick for us. Read our full SteelSeries Apex Pro TKL Wireless Gen 3 review.

Corsair Galleon 100 SD
If you’re looking for a different touchscreen-equipped keyboard, then the Corsair Galleon 100 SD could be a great pick. With strong build quality, built-in streaming controls, and slick hot-swappable MLX linear switches, the 100 SD is a highly capable gaming keyboard. It is very pricey, however. Read our full Corsair Galleon 100 SD review.

(Image credit: Future)How I tested the Turtle Beach Command Series KB7

• Tested across multiple days
• Used for gaming and general productivity
• Tested by an experienced tech reviewer

I spent days testing the Turtle Beach Command Series KB7. I replaced my typical Keychron keyboard with this one, using it every day at work for general productivity. But I also used the keyboard when dipping into a few games here and there.

On top of this, I made sure to exhaust the keyboard’s various features and settings and compared it directly against rivals.

More generally, I’ve spent years testing gadgets here at TechRadar, where I serve as a Senior Reviews Writer. I’ve tested all sorts of gear, from premium wireless headphones like the Sony WH-1000XM6 to TVs like the Sky Glass Gen 2.

• Read TechRadar’s reviews guarantee
• First reviewed: July 2026

• Someone found pricing for the unreleased Cirqa on Garmin’s website
• Two different images of the Fitbit Air rival also allegedly emerged
• Yet these images look suspicious and could be AI-created fakes

The Garmin Cirqa has become something of an open secret in the world of wearables, with leaks of the screenless Fitbit Air rival frequently appearing, even on Garmin’s own website. And it seems that the tech company is at fault again as a new raft of secret data has appeared, including global prices and alleged product images, all apparently originating from Garmin.

First, let's start with the prices. This appears to come from Garmin’s own backend systems and lists the Cirqa as costing $199.99 in the US, £179 in the UK and €199 in Europe. That’s much more affordable than the rumored $500 price tag that had circulated earlier this year.

The price was first discovered by users on Reddit, who used a part number (010-04675-00) included in a leaked image claiming to show details of the Cirqa Smart Band. They then plugged that number into the Garmin website, specifically by incorporating it into the following URL: https://buy.garmin.com/pricing-proxy-services/countries/US/skus/010-04675-00/price.

That returns information on the rumored device, including a listing price of “$199.99 USD.” As the Reddit user put it, “That response is coming directly from buy.garmin.com. It is not a Google cache, retailer listing or archived screenshot.” That lends the leak a degree of weight that would not be the case if we were just relying on a simple image.

Entering a different part number as a control (010-99999-99 in this case) returns an error, suggesting that the leaked data is not just a generic result that comes back any time you enter what looks like a Garmin part number.

Adjusting the number slightly also reveals other variations of the same device, which could be linked to different sizes and band colors, as suggested by another Reddit user.

Dubious images

The Garmin Cirqa will supposedly aim to take on screenless wearables like Google's Fitbit Air. (Image credit: Google)

Images purporting to depict the Garmin Cirqa have also been doing the rounds. Yet users were quick to point out the suspicious nature of the pictures, suggesting that they could have been generated by artificial intelligence (AI).

One claimed to show the Cirqa appearing in a Garmin app, while the other looked like a marketing image (via the5krunner). Yet the devices looked very different to each other, with different features and designs present on the two products, suggesting that one (or both) of them was a fake.

The pricing information is more solid because it comes directly from Garmin rather than from a random user on Reddit. You can plug the part number into the URL listed earlier and check it out for yourself if you want to verify it, suggesting that Garmin is perhaps loading the Cirqa into its databases ahead of an imminent launch.

When exactly that launch will be is unclear for now, however. Yet, whenever it does arrive, we could finally see some much-needed competition for the Fitbit Air hit the market.

Looking for a different day?

A new NYT Connections puzzle appears at midnight each day for your time zone – which means that some people are always playing 'today's game' while others are playing 'yesterday's'. If you're looking for Monday's puzzle instead then click here: NYT Connections hints and answers for Monday, July 20 (game #1135).

Good morning! Let's play Connections, the NYT's clever word game that challenges you to group answers in various categories. It can be tough, so read on if you need Connections hints.

What should you do once you've finished? Why, play some more word games of course. I've also got daily Strands hints and answers and Quordle hints and answers articles if you need help for those too, while Marc's Wordle today page covers the original viral word game.

SPOILER WARNING: Information about NYT Connections today is below, so don't read on if you don't want to know the answers.

NYT Connections today (game #1136) - today's words

(Image credit: New York Times)

Today's NYT Connections words are…

• MUSIC
• GRAM
• DRIVER
• VISION
• TUBE
• CROP
• BOOK
• APP
• ORCHESTRATION
• EXTENSION
• TANK
• KINESIS
• PROMPTER
• HALTER
• LYRICS
• PLUGIN

NYT Connections today (game #1136) - hint #1 - group hints

What are some clues for today's NYT Connections groups?

• YELLOW: Types of a similar garment
• GREEN: Computer terms
• BLUE: Parts of a composition
• PURPLE: Begin with word that rhymes with Nelly

Need more clues?

We're firmly in spoiler territory now, but read on if you want to know what the four theme answers are for today's NYT Connections puzzles…

NYT Connections today (game #1136) - hint #2 - group answers

What are the answers for today's NYT Connections groups?

• YELLOW: KINDS OF TOPS
• GREEN: SOFTWARE DOWNLOADS
• BLUE: ELEMENTS OF A MUSICAL
• PURPLE: TELE____

Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON'T WANT TO SEE THEM.

NYT Connections today (game #1136) - the answers

(Image credit: New York Times)

The answers to today's Connections, game #1136, are…

• YELLOW: KINDS OF TOPS: CROP, HALTER, TANK, TUBE
• GREEN: SOFTWARE DOWNLOADS: APP, DRIVER, EXTENSION, PLUGIN
• BLUE: ELEMENTS OF A MUSICAL: BOOK, LYRICS, MUSIC, ORCHESTRATION
• PURPLE: TELE____: GRAM, KINESIS, PROMPTER, VISION

• My rating: Easy
• My score: Perfect

This happens very rarely to me, but I saw the hardest group immediately today, with PROMPTER and VISION helping me connect GRAM and KINESIS.

It felt like an easy purple, but maybe telegram caught a few people out seeing as they are now a fairly pointless form of communication.

Regardless, I was rewarded with my 50th Purple First badge — it has taken me a while to reach this milestone, with my haphazard play style instead being to just connect the first group I see, rather than looking for the most likely to be a purple. I can’t imagine being that tactical with Connections.

In truth, this felt like a game where any of the groups could have been yellow on any other day, although all of the groups did contain things that have largely disappeared.

Yesterday's NYT Connections answers (Monday, July 20, 2026, game #1135)

• YELLOW: ANNOUNCE: BLARE, HERALD, SOUND, TRUMPET
• GREEN: THINGS TO CLICK: BUTTON, ICON, LINK, MENU
• BLUE: ASSOCIATED WITH PEARLS: BUBBLE TEA, OYSTER, SWINE, WISDOM
• PURPLE: STARTING WITH ALCOHOLIC BEVERAGES: ALEXA, MEADOW, PORTOBELLO, SAKES

What is NYT Connections?

NYT Connections is one of several increasingly popular word games made by the New York Times. It challenges you to find groups of four items that share something in common, and each group has a different difficulty level: green is easy, yellow a little harder, blue often quite tough and purple usually very difficult.

On the plus side, you don't technically need to solve the final one, as you'll be able to answer that one by a process of elimination. What's more, you can make up to four mistakes, which gives you a little bit of breathing room.

It's a little more involved than something like Wordle, however, and there are plenty of opportunities for the game to trip you up with tricks. For instance, watch out for homophones and other word games that could disguise the answers.

It's playable for free via the NYT Games site on desktop or mobile.

Looking for a different day?

A new Quordle puzzle appears at midnight each day for your time zone – which means that some people are always playing 'today's game' while others are playing 'yesterday's'. If you're looking for Monday's puzzle instead then click here: Quordle hints and answers for Monday, July 20 (game #1638).

Quordle was one of the original Wordle alternatives and is still going strong now more than 1,500 games later. It offers a genuine challenge, though, so read on if you need some Quordle hints today — or scroll down further for the answers.

Enjoy playing word games? You can also check out my NYT Connections today and NYT Strands today pages for hints and answers for those puzzles, while Marc's Wordle today column covers the original viral word game.

SPOILER WARNING: Information about Quordle today is below, so don't read on if you don't want to know the answers.

Quordle today (game #1639) — hint #1 — VowelsHow many different vowels are in Quordle today?

• The number of different vowels in Quordle today is 4*.

* Note that by vowel we mean the five standard vowels (A, E, I, O, U), not Y (which is sometimes counted as a vowel too).

Quordle today (game #1639) — hint #2 — repeated lettersDo any of today's Quordle answers contain repeated letters?

• The number of Quordle answers containing a repeated letter today is 2.

Quordle today (game #1639) — hint #3 — uncommon lettersDo the letters Q, Z, X or J appear in Quordle today?

• Yes. One of Q, Z, X or J appears among today's Quordle answers.

Quordle today (game #1639) — hint #4 — starting letters (1)Do any of today's Quordle puzzles start with the same letter?

• The number of today's Quordle answers starting with the same letter is 2.

If you just want to know the answers at this stage, simply scroll down. If you're not ready yet then here's one more clue to make things a lot easier:

Quordle today (game #1639) — hint #5 — starting letters (2)What letters do today's Quordle answers start with?

• T

• A

• S

• T

Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON'T WANT TO SEE THEM.

Quordle today (game #1639) — the answers

(Image credit: Merriam-Webster)

The answers to today's Quordle, game #1639, are…

• TRUSS
• AXIAL
• SWINE
• THING

This was a nearly game — I nearly got three words first time, with one letter out each time.

I also very nearly crashed out, but somehow survived using a rare letter and guessing AXIAL on my final line.

Daily Sequence today (game #1639) — the answers

(Image credit: Merriam-Webster)

The answers to today's Quordle Daily Sequence, game #1639, are…

• BEVEL
• USURP
• CANDY
• BRAWN

Quordle answers: The past 20

• Quordle #1638, Monday, 20 July: ICING, SLICK, GAILY, RISEN
• Quordle #1637, Sunday, 19 July: SPURT, ACRID, THRUM, BLEEP
• Quordle #1636, Saturday, 18 July: KNAVE, TIGHT, BLEAT, CHAOS
• Quordle #1635, Friday, 17 July: CUMIN, PALER, GRASS, INBOX
• Quordle #1634, Thursday, 16 July: IGLOO, PLAIT, YEAST, AROMA
• Quordle #1633, Wednesday, 15 July: PROXY, BRICK, BROTH, SURGE
• Quordle #1632, Tuesday, 14 July: EBONY, AVOID, RODEO, CUTIE
• Quordle #1631, Monday, 13 July: VOICE, BISON, BURNT, BUILT
• Quordle #1630, Sunday, 12 July: STAIN, BINGO, LARVA, DICEY
• Quordle #1629, Saturday, 11 July: WORTH, PRONG, DINGO, DRUID
• Quordle #1628, Friday, 10 July: GREET, STEAK, DUSKY, HAUTE
• Quordle #1627, Thursday, 9 July: CRUMP, PHONE, SHINY, STONY
• Quordle #1626, Wednesday, 8 July: GHOST, TREND, EXALT, ALONG
• Quordle #1625, Tuesday, 7 July: ARRAY, SUITE, KIOSK, BOULE
• Quordle #1624, Monday, 6 July: TRAWL, SPICE, PIANO, SHARK
• Quordle #1623, Sunday, 5 July: PINEY, SWOON, TITLE, PINTO
• Quordle #1622, Saturday, 4 July: ARGUE, MOTEL, OPERA, TRUCE
• Quordle #1621, Friday, 3 July: AVERT, MOTOR, MANIC, WORDY
• Quordle #1620, Thursday, 2 July: BULKY, PARSE, BELOW, MOVIE
• Quordle #1619, Wednesday, 1 July: EASEL, OTTER, LYRIC, SHACK

Looking for a different day?

A new NYT Strands puzzle appears at midnight each day for your time zone – which means that some people are always playing 'today's game' while others are playing 'yesterday's'. If you're looking for Monday's puzzle instead then click here: NYT Strands hints and answers for Monday, July 20 (game #869).

Strands is the NYT's latest word game after the likes of Wordle, Spelling Bee and Connections – and it's great fun. It can be difficult, though, so read on for my Strands hints.

Want more word-based fun? Then check out my NYT Connections today and Quordle today pages for hints and answers for those games, and Marc's Wordle today page for the original viral word game.

SPOILER WARNING: Information about NYT Strands today is below, so don't read on if you don't want to know the answers.

NYT Strands today (game #870) - hint #1 - today's themeWhat is the theme of today's NYT Strands?

• Today's NYT Strands theme is… Write there

NYT Strands today (game #870) - hint #2 - clue words

Play any of these words to unlock the in-game hints system.

• SLAY
• HEEL
• TRADE
• LIFT
• SHARD
• CASHED

NYT Strands today (game #870) - hint #3 - spangram lettersHow many letters are in today's spangram?

• Spangram has 10 letters

NYT Strands today (game #870) - hint #4 - spangram positionWhat are two sides of the board that today's spangram touches?

• First side: left, 4th row

• Last side: right, 5th row

Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON'T WANT TO SEE THEM.

NYT Strands today (game #870) - the answers

(Image credit: New York Times)

The answers to today's Strands, game #870, are…

• ENVELOPE
• LETTERHEAD
• SHEET
• CARD
• FILE
• NOTEPAD
• SPANGRAM: STATIONERY

• My rating: Easy
• My score: Perfect

The act of writing a letter and sending it to someone in the post has become not just a form of communication from a former time, but also an expensive one.

Organized postal networks date back to Ancient Egypt, while in the UK King Henry VIII founded the Royal Mail in 1516. Today, though, they are not so interested in delivering simple letters and have rebranded their business to compete with parcel delivery companies.

It was with nostalgia, then, that I collected ENVELOPE and LETTERHEAD as I pondered the last time I had used some actual STATIONERY.

Yesterday's NYT Strands answers (Monday, July 20, game #869)

• TINY
• LITTLE
• MICROSCOPIC
• MINIATURE
• MINUSCULE
• SPANGRAM: ITSYBITSY

What is NYT Strands?

Strands is the NYT's not-so-new-any-more word game, following Wordle and Connections. It's now a fully fledged member of the NYT's games stable that has been running for a year and which can be played on the NYT Games site on desktop or mobile.

I've got a full guide to how to play NYT Strands, complete with tips for solving it, so check that out if you're struggling to beat it each day.

• Xpeng says China will soon produce a product to beat the Tesla Model Y
• Co-founder He Xiaopeng says the company isn't far from beating Tesla
• Tech-focused company wants to compete with premium European players

During the launch of Xpeng's upcoming L03 EV in Munich this week, the company's first simultaneous vehicle unveiling in Europe and China, founder He Xiaopeng said that he believed the marque was "not far from beating Model Y," according to the Financial Times.

Not one to shy away from Tesla comparisons, Xpeng has always strived to be seen as more technology-focused than many of its closest Chinese rivals, with humanoid robots, artificial intelligence, and eVTOL lightweight electric aircraft also part of the company's portfolio.

The L03, which is said to have a starting price of €35,600 (around $40,600/AU$58,000), features sporty SUV coupe styling, a 15.6-inch central infotainment display, lounge-style seating, and what the company calls its most advanced intelligent driving capabilities ever introduced to global markets.

"L03 has the potential to be a blockbuster model in terms of being a volume driver and certainly one of the Model Y killers, but not the killer," Lei Xing, founder of Chinese consultancy AutoXing, told the Financial Times.

(Image credit: Xpeng)

Having driven the company's G6, which is clearly a Tesla Model Y rival in both exterior design and the technology it offers, I have to agree. I still think Tesla's recently updated Model 3 and Model Y are the better cars to drive.

The software at the heart of those cars also delivers a much slicker user experience.

Secondly, Tesla's Supercharger ecosystem remains one of the cheapest and simplest to use in most markets today. Granted, it doesn't offer the fastest charging speeds, but its convenience and reliability more than make up for that.

Spend any time in a Tesla or with Tesla owners, and they will attest to how simple the recharging process is — from the fact that the vehicle plans journeys based on range and state of charge to the contactless billing process.

Analysis: catching up fast

(Image credit: Xpeng)

Having driven Xpeng products in Europe, I have been impressed by the speed at which the company has improved successive generations of its vehicles.

A tangible jump in the quality of the G6's interior, faster charging speeds, and more potent processing power generally made it much easier to live with — not to mention the engineering updates under the skin that made it better to drive.

The latest L03 is reported to push things further with its VLA 2.0 (Vision Language-Action) software that powers its Next Generation Pilot autonomous driving functionality. It will also be the first Chinese automaker to ship a vehicle with Google Maps built in.

But even with this, it's difficult to see Xpeng nailing the simplicity of Tesla's software and ownership experience. That philosophy was built into the company's DNA, with the Model S rapidly becoming regarded as the iPhone of the EV world when it launched some 14 years ago.

Xpeng is undoubtedly making waves in the EV industry, but there were just 900 UK registrations of the G6 during its first 10 months on sale, compared with 24,298 Tesla Model Ys.

Sales in Europe were more impressive, but the Model Y remains the top-selling electric vehicle in many parts of the world, as well as the second most popular in China.

The L03 may well be edging closer to 'Tesla killer' status, but it feels like Xpeng still has a mountain to climb when it comes to convincing customers it offers a superior EV ownership experience.

Here are hints and the answers for the NYT Connections puzzle for July 21, #1136

Alan Turing is widely revered as one of the most important scientific and technological figures in modern history. Following his work on cracking the Enigma Machine during the Second World War, Turing published his thoughts on the future of machine intelligence – and specifically on the pathway that we can one day take to achieve proficient AI.

Eating machines

Turing concluded his seminal 1950 study 'Computing Machinery and Intelligence' with musings on how to fulfill what he saw as achieving the great promise of machine intelligence in the future.

Quote of the day

This article is part of TechRadar Pro's QOTD project to provide an insight into the minds of the brightest and most recognized figures in the technology industry today and in years gone by. Read the full series here.

The pioneering mathematician and computer scientist suggested, in his concluding passage, that even though you may hold some vision for the future, or long-term ambitions, it's key to solve the immediate challenges you face now. True progress isn't achieved in one leap, but through a series of smaller and seemingly less significant steps.

In the context of his paper, Turing suggested that scientists in the future need not strive to achieve human-like intelligence in machines, but build the very first iterations of what he described as "thinking machines" so that this work can be iterated on in the future.

Beyond the Turing Test

When the study was published, the term "artificial intelligence" was not in widespread use, with scientists instead opting for terms like cybernetics or machine intelligence.

What followed over the next decades was a cascading series of breakthroughs – including the birth of neural networks in the 80s and the transformer architecture in 2017 – that have led to today's widely used large language models and generative AI services.

Although true human-like intelligence is still some distance away, we've advanced to such an extent that many have even claimed the Turing Test – where somebody cannot tell the difference between interacting with a human and AI – has already been beaten.

A judge has put Paramount’s Warner Bros. Discovery deal on ice for now, pending an antitrust hearing later this month.

Avatar: Frontiers of Pandora, Dying Light and Psi-Ops join the PS Plus catalog in July.

Halloween might seem like a long way away, but it's never too early to start getting ready, and if you're anything like me, then you can't wait for the weather to start getting cooler, with crisp leaves underfoot and misty mornings. It seems the designers at IKEA agree, because they've already launched a whole set of Kustfyr Halloween decor so you can start preparing for spooky season now.

The new seasonal lights are particularly cute, and I defy anyone not to be charmed by the adorably spooky LED ghost table lamp with its arms raised mid-scare. Pair it with a set of ghostly battery-powered LED string lights for a full themed room.

It wouldn't be Halloween without pumpkins, and you can avoid the mess and hassle of carving a real gourd by picking up one of IKEA's fun pumpkin lamps. The globe-shaped LED pumpkin table lamp is a cute classic, while the matching battery-powered pendant lamp is safe to use outdoors, so you can hang it on your porch when it's time for trick-or-treating.

Want more creepy ways to decorate your home? Check out the full Kustfyr collection, which includes everything from plushies to plates.

Adorably spooky Halloween lights

IKEA Kustfyr Battery LED Table Lamp - Ghost

IKEA Kustfyr LED Table Lamp - Pumpkin

IKEA Kustfyr Battery Pendant Lamp - Pumpkin

IKEA Kustfyr Lantern for Pillar Candle - Black

IKEA Kustfyr Battery LED Table Decoration - Pumpkin

IKEA Kustfyr LED Lighting Chain With 32 Lights - Ghost

IKEA Kustfyr LED String Light With 12 Lights - Ghost