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It's been a massive week for tech news, with Apple's WWDC taking place and a raft of big announcements in the gaming world.

Missed it all? Never fear – because you can catch up on it by scrolling down for our handy recaps of the week's seven biggest tech news stories.

And once you're all up to speed with that, be sure to also check out our picks for the 7 new movies and TV shows to watch this weekend.

7. Xreal told us more about Project Aura

(Image credit: Xreal)

We already knew Xreal’s Project Aura glasses would bring Android XR features to Xreal’s lineup, but we didn’t know too much about the hardware itself. Now we do.

For a start, the device will apparently boast a 70-degree field of view – which is much larger than the FOV found on the 57-degree Xreal One Pro and which will give the Project Aura glasses a massive virtual screen.

It’ll also be tethered to a compute puck which will run Android XR using a Snapdragon chip from Qualcomm, though the glasses themselves will still have a “modified” X1 processor.

The glasses won't land until sometime in 2026, but when they do this pair of Android XR specs could be something special.

• Read more: Xreal just teased its Android XR specs

6. Garmin found its Apple Watch Ultra 2 rival

(Image credit: Garmin)

Surprise! Garmin has revealed the Garmin Venu X1, an "ultrathin" smartwatch with a massive 2-inch AMOLED display and up to eight days of battery life.

The new model packs 32GB of internal memory, presumably for on-watch music, plus Garmin's updated Elevate v5 heart-rate sensor, most recently used on the Garmin Forerunner 570 and 970.

Unfortunately the Garmin Venu X1 doesn't come cheap, costing $799.99 / £679.99 / AU$1,499. We'll be testing it as soon as possible to see if it justifies that price tag.

• Read more: Meet the surprise new Apple Watch Ultra 2 rival

5. New Bose earbuds were cleared for launch

(Image credit: Bose)

The best noise-cancelling earbuds you can buy right now are made by Bose (which makes sense – the company created the first ever active noise cancelling headphones), and right now we’d suggest not buying them. Why? Because there's a newer version incoming, and Bose says they’ll be even better.

The Bose QuietComfort Ultra Earbuds 2nd Gen will launch later this summer with a price tag of $299 – which is around £220 or AU$460, although these are guesses since pricing and availability for these regions has yet to be officially announced.

What can we expect? AI algorithms for better filtering of sudden noise spikes via Bose’s ActiveSense system, plus improved voice pickup and call quality, The latter is particularly good news, because that was a weak spot compared to rival earbuds from Technics and Bowers & Wilkins.

Also, the new case will be able to charge wirelessly – the first-gen Ultra Earbuds needed a sleeve to pull off this feat, but it'll be here by default now.

• Read more: Bose unveils next-gen QuietComfort Ultra Earbuds

4. Summer Game Fest 2025 wrapped up

(Image credit: SUMMER GAME FEST)

Summer Game Fest 2025 has been and gone, and between PlayStation, Xbox and the event’s own showcase, there was plenty to be excited about.

Some of the most thrilling game announcements came in the form of world premieres such as Resident Evil Requiem, Marvel Tōkon Fighting Souls, Scott Pilgrim EX, and Street Fighter 6’s Year 3 Character Pass.

We also got new looks at anticipated upcoming games like Death Stranding 2: On the Beach, Clockwork Revolution and The Outer Worlds 2.

There’s loads to look forward to, then, and that’s all before we’ve even had a chance to see what Nintendo is cooking up with a new Direct showcase that will likely happen soon.

• Read more: Everything else announced at Summer Game Fest 2025

3. Xbox announced a handheld

(Image credit: Microsoft)

Finally, after years of rumors, Microsoft has announced an Xbox handheld: the ROG Xbox Ally. In fact it gave us two.

Unlike Asus' current ROG Ally and ROG Ally X, the Xbox version has a tweaked design with contoured grips that echo the shape of the current Xbox Wireless Controller. And as one would expect, both Xbox Allys sport the Xbox 'ABXY' button layout and a dedicated Xbox home button.

We don’t yet know when it will launch, nor how much it’ll cost, but we expect it’ll be about as pricey as the existing Ally.

• Read more: Microsoft has revealed the ROG Xbox Ally

2. Apple told us what went wrong with Apple Intelligence

Months after Apple admitted publicly that the Apple Intelligence-infused Siri was harder to deliver than they thought, the tech giant reiterated the statement during its WWDC 2025 keynote, adding almost cryptically that it’ll arrive “in the coming months”.

Most of us still had lots of questions. Fortunately, Apple's Senior Vice President of Software Engineering Craig Federighi and Apple Global VP of Marketing Greg Joswiak sat down with us (and Tom’s Guide) for a wide-ranging and revealing podcast that finally explains what happened with Siri development, why the smarter version was delayed, and what happens next.

There’s a lot to learn about over-promising and under-delivering and how to avoid similar mistakes, and the full podcast ranges far beyond to cover Liquid Glass, and that surprising iPadOS 26 reveal. Speaking of which…

• Read more: What really happened with Siri and Apple Intelligence, according to Apple

1. WWDC 2025 unleashed Liquid Glass

Apple’s software event clued us into what’s in store for the next generation of software from the tech giant and a big change is that every OS will now be version 26 – with Apple explaining that this will simplicity and clarity to its somewhat confusing software lineup.

For iOS 26, and every Apple OS, the major update is Liquid Glass, a new foundational design philosophy inspired by visionOS – which is itself getting a slew of enhancements, such as mixed-reality widgets.

However, the real star of the show for many was iPadOS 26, which finally brings some of the Mac’s best features to the tablet – and it nearly made one of our writers cry with joy (that may be an exaggeration).

There was plenty more to dig into from Apple's big event, so for the full details check out our guide to the 15 biggest stories from WWDC 2025.

• Read more: WWDC 2025 as it happened

Eufy E15 robot lawn mower: two-minute review

To date I've tested quite a few wire-free, autonomous lawn mowers, but of all of them, the Eufy E15 is the easiest to set up and use. Much of that is down to the robot's AI algorithm-rich software, its superb dual camera system and the simplicity and excellent navigability of the Eufy app.

This admittedly odd-looking lawnbot uses Full Self Driving (FSD) technology, which means there's no need to lay a perimeter wire or install an RTK GPS antennae. In fact, setup took all of about 15 minutes – it can automatically map a lawn up to 800 square metres by cleverly distinguishing the textural differences between grass and planted borders. It then goes out and cuts the lawn in pristine parallel stripes before finishing off with an edge cut along the borders.

Like many robot mowers, the E15 is equipped with a small 20cm cutting deck comprising three razor-like blades attached to a spinning disk. These blades are so sharp that they snip grass with the cleanliness of a pair of scissors, leaving the tips of the nitrogen-rich cuttings to fall back to earth, which in turn fertilise the lawn.

There are a few minor niggles – the navigation system means it can't mow at night, and it can't handle gradients over 18-degrees – but overall, this is an extremely impressive lawnbot and a very strong recommendation for technophobes in particular. Aside from an easily-fixed map-making mistake, and one expected issue regarding small obstacle avoidance, the E15 hasn't put a foot wrong during several weeks of testing. It just works out of the box. That's the short version; read on for my full Eufy E15 review.

(Image credit: Future)Eufy E15 review: price & availability

• List price: $1,799.99 / £1,499
• Available: US / UK
• Launched: June 2025

Eufy's first robot mower is available in two variants – the E15 I'm reviewing here, and the E18, which is only available in the US. Both machines are the same size and spec but the E18 has a larger capacity battery which allows it to cut lawns up to 1,200m² / 0.3 acre – that's 400m² more than the E15.

If you live in the UK, you can purchase the E15 direct from Eufy UK for £1,499. Granted, it's an awful lot of money but that's the price one pays for new tech that saves a ton of time and effort. I personally think it's very competitively priced, especially given the fact it comes with a roofed garage to protect it from the elements. It's also exceedingly well built, using highly-quality materials with expert fit and finish.

Stateside dwellers, meanwhile, have a choice of either the E15 or E18. The US Eufy site lists the E15 at $1,799.99 but if you have a lawn larger than 800 square metres (0.2 acre), I would suggest the E18. Eufy sells this model for $1,999.99.

• Value for money score: 4 out of 5

Eufy E15 specs

Max lawn size:

0.2 acres / 800m²

Navigation:

Dual V-FSD cameras

Cutting deck width:

8in / 20.3cm

Cutting height adjustment:

1-3in / 2.5-7.5cm, motorized

Drivetrain:

Rear wheel drive

Maximum zones:

More than two

Maximum climbing ability:

40% / 18 degrees

Obstacle avoidance

3D Perception camera system

Connectivity:

Wi-fi, Bluetooth & 4G (sim optional)

Noise:

56dB

Waterproof:

IPX6

Rain sensor:

Yes

Mow time per charge:

About 100 minutes

Lawnbot size:

23.7 x 15.5 x 12.5 in / 60.3 × 39.4 × 31.8cm

Garage size (L x W x H):

28.6 x 18.9 x 17.8 in / 72.7 x 48 x 45.2cm

Lawnbot weight:

39.7 lbs / 11kg

Eufy E15 robot lawn mower review: design

• Full self driving lawnbot, uses cameras to navigate
• Comes with a charge dock but requires no boundary wires or RTK receiver
• Otherwise relatively standard lawnbot design, with 20cm cutting deck

Eufy (a subsidiary of Chinese electronics manufacturer Anker) has approached the development of its first robot mower with the same set of design principals it has applied to its burgeoning range of excellent robot vacuum cleaners. Hence, the E15 is probably the most robot vacuum-like lawnbot on the market right now. And that's a very good thing for anyone who already owns a robot vacuum cleaner and is familiar with the way it is set up and used from day to day.

Although it's not the prettiest looker on the lawn (at least when compared to the F1-inspired Mammotion LUBA Mini), the E15 feels very high quality. It is also the only robot mower I know of to come with a roof for its charging dock as standard – that can be considered a major benefit because, while the E15 is IPX6 rated for waterproofness (IPX6 means ingress protection against powerful water jets), it's direct summer sunshine rather than rain that could have the biggest affect on batteries and electronics.

Incidentally, like all modern robot mowers, this model is fitted with a rain sensor so if it starts raining while it's out cutting, it will return to base and wait a predetermined number of hours before it heads out again.

(Image credit: Future)

Although size and weight is pretty inconsequential given that, once in situ, the E15 pretty much stays on the lawn until the end of the cutting season around late autumn, for the record the E15 measures 23.7 x 15.5 x 12.5 in / 60.3 × 39.4 × 31.8cm, weighs 39.7 lbs / 11kg and comes with an integral handle on the front so it's easy enough to lift if necessary.

Like all robot lawn mowers, the Eufy E15 is equipped with a cluster of manual control buttons on the top of its outer casing, including a large red Stop button for any unlikely emergencies. These buttons are handy for quickly pausing or cancelling a task, commanding the robot to return to its dock and turning it on and off without the need for the accompanying app. There is also a master on/off switch on the base of the cutting deck, which is only used when putting the robot into storage or transporting it in the car.

(Image credit: Future)

Before we tackle the E15's clever navigation system, let's head below and take a closer look at the business end. This model is good for lawns up to 800m² (0.2 acres) and has an 8in / 20.3cm cutting width – that's the norm for a robot of this size, but still way short of the Mammotion LUBA 2 which has a generous 15.7in / 40cm deck.

Like almost all current robot mowers, the E15 uses an array of small razor-like blades for the cutting process. Put simply, a silent motor spins a circular disc with, in this case, three double-sided 1.5-inch razor blades attached to the disk's outer edge.

Since the blades are attached loosely and are able to spin 360 degrees, the disk's centrifugal force causes the blades to whip round at immense speed so the grass is cut to a much finer degree than any large-bladed rotary mower. Likewise, if they hit something hard like a stone, the easily replaced blades are less likely to be damaged. (Here's more on how robot lawn mowers work, if you're interested.)

(Image credit: Future)

Aside from the whisper-quiet sound the cutting system makes (and believe me this thing is near-silent in operation), the main bonus of a system like this is that the fine nitrogen-rich cuttings the robot leaves in its wake are fed back into the lawn as future fertiliser. This 'mulching' method of grass maintenance is not only good for your lawn, but it also means you don't need to figure out what to do with all the cuttings.

The Eufy E15 is rear-wheel drive and those wheels are an ample 7.9 in / 20cm in diameter, with deep treaded paddles that provide excellent traction without causing any grass damage. The front end is fitted with a robust castor wheel that allows the robot to turn on a sixpence. Eufy states a maximum gradient of 40% (18 degrees) which is a few degrees steeper than much of the competition but still nowhere near the Everest-scaling, all-wheel-drive Mammotion LUBA 2 and LUBA Mini's 80% (38.6 degrees) ability.

Robot mower navigation tech has come on in leaps and bounds since the first models were introduced way back in the mid '90s. These early models required a boundary wire around the perimeter of the lawn and many robot mowers like this are still available to purchase today. However, recent advances in RTK GPS, LiDAR and camera-based navigation technologies are quickly making these types of wired robot mowers obsolete.

Take this model, for instance. The Eufy E15 is equipped with a FSD (Full Self Driving) camera tech that works in a similar way to many autonomous cars. The system itself is comprised of two side-by side cameras that produce a stereoscopic image with some depth to it, rather like a pair of human eyes. This, along with a smorgasbord of AI algorithms and heaven knows what else it has hidden beneath the bonnet, ensures that the robot can not only find its way around a lawn but also differentiate between grass and border plants.

(Image credit: Future)

Like a human, it can spot the textural and height differences between grass and plants and map the lawn accordingly. And for those who love driving RC cars, you can easily do that with this mower, too, and even view a high-definition livestream of what the camera sees.

The downside to a camera-based system like this is that the E15 cannot mow beyond sunset because it won't be able to see where it's going. Eufy might elect to fit a bright headlamp on the next incarnation but for now, your best bet for night mowing is either the Mammotion LUBA 2 or its new smaller sibling, the LUBA Mini.

The upshot of this robot mower's superb navigation system is that it gives it the amazing ability to cut a lawn in a series of perfectly straight parallel stripes that never fail to impress. Granted, they're not bona fide stripes like a cricket ground, but they're the next best thing. I guarantee you'll be blown away by how smart your lawn looks after just one cut.

Finally, a shout out to the E15's security measures. Firstly, it's bonded to the user's account and Wi-Fi system making it useless to any light-fingered thieves. But as an extra precaution it also features GPS tracking over optional 4G while the unit itself will sound an alarm, enter a locked state and send a notification to the user if it's ever taken beyond its working boundary.

• Design score: 4.5 out of 5

Eufy E15 robot lawn mower review: setup

• Charge dock requires power source and good Wi-Fi signal
• - Mapping is fully automated – and no-go zones can be added in-app if required
• - Extremely fast and east to set up

No question, the Eufy E15 is one of the easiest robot mowers I've ever set up; there is no RTK GPS antennae to install and not a perimeter wire in sight. All you need is an electricity source within the eight metres of cable provided and a decent WiFi signal to the robot so you can initiate its setup procedure, update the firmware when required and program weekly schedules and other parameters in the Eufy app.

Once you've created a Eufy account in the app and mounted the charging dock using the provided ground screws, it's simply a case of firing it up and selecting the auto map function. I'd say the whole process took me about 15 minutes and most of the time was spent screwing in the dock's ground screws using the provided Allen key (a cordless driver with an Allen key bit speeds this process up considerably). The E15's excellent mapping ability is fully automatic – the bot can tell the difference between grass and plants, and uses this information to map the lawn.

Click to enlarge (Image credit: Eufy )

However, there may be instances when it treats a scrubby patch on the edge of the lawn as grass and map that too – as was the case in my testing. With some robot mowers you need to physically steer the robot like an RC car to the area in question and modify it by driving the bot on a different trajectory and then saving the map. With this model you simply add a no-go zone or a virtual boundary by drawing a square or line on the app's map. A big high-five to the designers for bringing this robot vac-style editing approach to the table.

While this whole process was very simple, I still hope Eufy will include a manual mapping option in a future update for those who want full hands-on control. Manual mapping – where you drive the robot around the perimeters of a lawn like an RC car – allows the user to fine-tune the map right from the off, with no need to add no-go zones or virtual boundaries.

(Image credit: Future)

Once the mapping has finished, it's time for the robot's first mow. But before you do this, make sure your grass isn't too long or the cuttings it creates could litter the lawn. Instead either opt for the highest cutting height first (these range from 25mm to 75mm in 5mm increments and are set using the app).

Alternatively, use your standard mower with grass catcher to cut the lawn to about 40mm (position 4) and set the robot off on its first cut a day later – I find that 35mm is a perfect height for UK rye grass. Once the grass is ready for the robot, chances are you may never need to use your standard mower again, though you will still need your line trimmer to tidy up some edges every now and then.

If you have a few different lawns separated by pathways and boundaries, that's not a problem. The Eufy E15 can be programmed to cut all of them in succession, even when they're many meters apart. Simply map the lawns individually and set a virtual passageway between them by steering the robot from one lawn to the next. The robot will then follow this set path from lawn A to lawn B and so on and so forth every time it's on a cutting session. Just make sure that there are no gates or stairs in the way and that the passage the robot takes is free of clutter and wide enough for the robot to navigate.

• Setup score: 5 out of 5

Eufy E15 robot lawn mower review: performance

• Neat, methodical cutting performance
• Motorized cutting heights
• Expert navigation and very good obstacle avoidance

In terms of cutting performance, I've been exceedingly impressed by how well this robot mower has navigated and cut my lawn, and in such methodical fashion too. It's a joy to watch the E15 as it trundles up and down the lawn in perfect parallel lines, and I love the pseudo stripes the wheels leave in their wake.

The fact you can easily adjust cutting parameters in the app – cutting height (from 25mm to 75mm), edge spacing (how close it cuts to the edge), path spacing (the amount of overlap between each pass), and travel and blade speed (slow, standard and fast) – is the icing on the cake. And if you're looking for the cherry on top of that, it'll be the Path Direction (cutting angle) setting, which is as simple as placing two fingers on the map of your lawn and swiveling the two arrows to the angle of cut you want, whether it's perfectly vertical, horizontal or any angle in between.

Despite this model only having three cutting blades against the Mammotion LUBA Mini's six, I haven't been able to detect any noticeable differences in cut quality. Yes, I prefer the wider tract of the big 40cm Mammotion LUBA 2 – the width of a small push mower – but I'm nitpicking here.

(Image credit: Future)

Obstacle avoidance on indoor robot vacuum cleaners is essentially for the convenience of not having to untangle a loose sock from under the robot, but a robot mower with fast spinning razor blades is an altogether different kettle of danger. Just as well that all autonomous robots and most wired models have various levels of obstacle avoidance built into their navigation systems.

The Eufy E15's obstacle avoidance is excellent for anything larger than about the size of a tennis ball. I tested it on a number of occasions using some dog toys. Amazingly, the E15 avoided every item including – surprisingly – a small whale-shaped toy with a slim tail. In fact I was especially impressed by how well it managed this last feat because the whale was off-centre to the robot, and yet its camera caught the obstacle in its periphery.

(Image credit: Future)

However, as expected, the E15 didn't spot a table tennis ball on two occasions and rode over it, almost slicing it in half. As a result, I wouldn't trust this model to avoid pet mess unless, perhaps, you have a Great Dane, or a horse. (This has been the case with every robot mower I've tested, and for that matter every robot vac, too.)

I'm pleased to report that everything has run smoothly with this model, from its initial auto mapping to its weekly routine of keeping the lawn looking spick and span. It has never got lost or failed to find its charging base, and it's always remained within the confines of its boundary. And that's not a bad accolade for any manufacturer hitting the market with a first-time product. Well done Eufy.

• Performance score: 5 out of 5

Eufy E15 robot lawn mower review: app

• Easy to navigate
• Excellent interface
• Could do with a couple of extra features

While I'm a huge fan of the Mammotion range of robot mowers, its accompanying app is quite technical and, in some areas, difficult to get a handle on. By contrast, the Eufy app (which also covers Eufy's security cameras) is mostly a joy to use, and mercifully free of any technical jargon. It's as simple as simple can be, but there is room for improvement.

Click to enlarge (Image credit: Eufy)

What I'd like to see is an option to manually map a lawn and an option to mow in a chessboard pattern (i.e. cut vertically and horizontally) in one go. But I'm pretty certain we'll see something like this in a future update. It is, after all, early days for this newcomer.

• App score: 4 out of 5

Should you buy the Eufy E15 robot lawn mower?

Attribute

Notes

Rating

Value

The Eufy E15 isn't cheap but it's in the same ballpark as other similarly-styled models on the market.

4.5/5

Design

Odd looks aside, the E15 is robust and extremely well equipped to deal with most lawn layouts, bar those with steep slopes.

4.5/5

Setup

Setup is also extremely fast and straightforward, thanks to accurate automatic mapping.

5/5

Performance

The E15 is a sterling operator that cuts grass brilliantly well while avoiding almost all obstacles in the process.

5/5

App

There is no simpler mowbot app on the market, though a few tweaks wouldn't go amiss.

4/5

Buy it if...

You're a technophobe

I haven't come across an easier model to set up and operate.

You want lawn stripes

The E15 is a deft lawnsmith that cuts in ruler-straight stripes.

You need simple reliability

This model has proved to be very reliable with great obstacle avoidance.

Don't buy it if...

Your lawn is very large

This lawnbot's smaller battery and cutting tract mean it's not well-suited to extra large lawns.

You want night mowing

Because it relies on cameras to navigate, the Eufy E15 can't mow in the dark. If that's a priority, consider the Mammotion LUBA Mini.

Your lawn has steep gradients

This bot will struggle on steep slopes – it's good up to 18 degrees.

How I tested the Eufy E15 robot lawn mower

I've been using this lawnbot for the past few weeks, and I've been working it hard during that time. It has been out on regularly scheduled mowing tasks, and I've also put it through a range of tests – including assessing its obstacle avoidance using dog toys. I also assessed the ease of setup, how user-friendly the app is, and how the cutting performance compared to other lawnbots I've reviewed.

Read more about how we test

• First reviewed June 2025

The Apple Watch’s fitness features have been getting consistently more impressive in recent years, between new running metrics, the recent addition of Training Load, and integrations with third-party apps such as TrainingPeaks. And yet, despite these advanced tools at my fingertips and as someone who tests the best Apple Watches as part of my job, I’m still lacking in the running department.

After a long day of work, as a man in his mid-thirties with a very active six-year-old, the last thing I feel I want to do is get my shorts and underlayer on and head out the door, and that’s even with some lovely running routes nearby.

Tracking my workouts is great, but how can I outsource my motivation to my Apple Watch? As it happens, Apple's new AI Workout Buddy might be the answer.

Workout Buddy could became my favorite new watchOS feature in years

(Image credit: Lance Ulanoff / Future)

I should stress that I have no such issues getting to the gym, . My hesitance to run (which takes a lot less work and time than lifting weights) feels very much like a problem of my own making, so it’s gratifying that Apple may have a solution for me and could make me feel less like I’m the only “reluctant runner” out there.

As revealed at WWDC 25 this week, watchOS 26 will offer Workout Buddy, a “first-of-its-kind fitness experience with Apple Intelligence that incorporates a user’s workout data and their fitness history to generate personalized, motivational insights during their session, based on data like heart rate, pace, distance, Activity rings, personal fitness milestones, and more.”

It’s that word “motivational” that piqued my interest, and while I’m wary of the use of AI (especially as a journalist who makes his living using words) a helpful few words of encouragement in my ear when I’m pushing myself out the door for a 5K could make all the difference.

I recently completed my first 10k running event following some heart health issues in recent years, and having an AI assistant tap into my heart rate data and advise me how much further I could push myself every now and again could have stopped the fearful questions I was asking myself, such as “am I going too fast?” or “am I pushing too hard?”

Matching my style of running

When I do get out for a run, I try to avoid looking at my Apple Watch Ultra. I often don’t want to know what my pace is like, because I try to be more intentional with exercise. Namely, keeping my mind on the whole ‘moving my legs’ part of the workout rather than keeping an eye on my pace.

Looking at my pace and seeing it slower than anticipated is a bit of a morale-buster, while checking the distance run and seeing I’m less than halfway around my circuit has a tendency to have a negative impact on my pace, as if I’m willing it to be over.

If I can tweak what the AI offers as encouragement, then I feel I’ll be having my proverbial cake and eating it, pushing me further without laying on too thick how far I’ve fallen since my prime a decade ago. Think less “here are your splits”, and more “keep going, you’re doing great!”.

I’ve tried AI coaching apps like Zing in the past, and as promising as they are, they can often feel overly complex when you just want to track some exercises or your step count. Having something like Workout Buddy running natively on my devices that I can call upon when I need it, and minimise when I don’t, really does feel like the best of both worlds. Roll on September!

You might also like...

• Does your Apple Watch support watchOS 26? Here’s the full list of compatible Apple Watches (and which ones will miss out)
• iOS 26: everything you need to know
• Apple Intelligence is a year old - here are 3 genuinely useful AI tools you should use on your Apple products

Mattel is partnering with OpenAI to build AI‑powered toys, which might lead to some amazing fun, but also sounds like the premise for a million stories of things going wrong.

To be clear, I don't think AI is going to end the world. I've used ChatGPT in a million ways, including as an aide for activities as a parent. AI has helped me brainstorm bedtime stories and design coloring books, among other things. But that's me using it, not opening it up to direct interaction with children.

The official announcement is very optimistic, of course. Mattel says it’s bringing the “magic of AI” to playtime, promising age‑appropriate, safe, and creative experiences for kids. OpenAI says it’s thrilled to help power these toys with ChatGPT, and both companies seem intent on positioning this as a step forward for playtime and childhood development.

But I can’t help thinking of how ChatGPT conversations can spiral into bizarre conspiracy theories, except suddenly it's a Barbie doll talking to an eight-year-old. Or a GI Joe veering from positive messages about "knowing is half the battle," to pitching cryptocurrency mining because some six‑year‑old heard the word “blockchain” somewhere and thought it sounded like a cool weapon for the toy.

As you might have noted from the top image, the first thought I had was about the film Small Soldiers. The 1998 corny classic about an executive at a toy company deciding to save money by installing military-grade AI chips into action figures, leading to the toys staging guerrilla warfare in the suburbs? It was a satire, and not a bad one at that. But, as over-the-top as that outcome might be, it's hard not to see the glimmer of chaotic potential in installing generative AI in the toys children may spend a lot of time with.

I do get the appeal of AI in a toy, I do. Barbie could be more than just a doll you dress up, she could be a curious, clever conversationalist who can explain space missions or play pretend in a dozen different roles. Or you could have a Hot Wheels car commenting on the track you built for it. I can even picture AI in Uno as a deckpad that actually teaches younger kids strategy and sportsmanship.

But I think generative AI models like ChatGPT shouldn't be used by kids. They may be pared down for safety's sake, but at a certain point, that stops being AI and just becomes a fairly robust set of pre-planned responses without the flexibility of AI. That means avoiding the weirdness, hallucinations, and moments of unintended inappropriateness from AI that adults can brush off but kids might absorb.

Toying with AI

Mattel has been at this a long time and knows what it is doing, in general, with its products. It's certainly not to their advantage to have their toys go even slightly haywire. The company said it will build safety and privacy into every AI interaction. They promise to focus on appropriate experiences. But “appropriate” is a very slippery word in AI, especially when it comes to language models trained on the internet.

ChatGPT isn’t a closed-loop system that was built for toys, though. It wasn’t designed specifically for young kids. And even when you train it with guidelines, filters, and special voice modules, it’s still built on a model that learns and imitates. There’s also the deeper question: what kind of relationship do we want kids to have with these toys?

There’s a big difference between playing with a doll and imagining conversations with it, and forming a bond with a toy that independently responds. I don’t expect a doll to go the full Chucky or M3gan, but when we blur the line between playmate and program, the outcomes can get hard to predict.

I use ChatGPT with my son in the same way I use scissors or glue – a tool for his entertainment that I control. I’m the gatekeeper, and AI built into a toy is hard to monitor that way. The doll talks. The car replies. The toy engages, and kids may not notice anything amiss because they don't have the experience.

If Barbie’s AI has a glitch, if GI Joe suddenly slips into dark military metaphors, if a Hot Wheels car randomly says something bizarre, a parent might not even know until it’s been said and absorbed. If we’re not comfortable letting these toys run unsupervised, they’re not ready.

It’s not about banning AI from childhood. It’s about knowing the difference between what’s helpful and what’s too risky. I want AI in the toy world to be very narrowly constrained, like how a TV show aimed at toddlers is carefully designed to be appropriate. Those shows won't (hardly ever) go off script, but AI's power is in writing its own script.

I might sound too harsh about this, and goodness knows there have been other tech toy scares. Furbies were creepy. Talking Elmo had glitches. Talking Barbies once had sexist lines about math being hard. All issues that could be resolved, except maybe the Furbies. I do think AI in toys has potential, but I'll be skeptical until I see how well Mattel and OpenAI navigate that narrow path between not really using AI and giving the AI too much freedom to be a bad virtual friend to give your child.

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• OpenAI has upgraded ChatGPT's Projects feature to remember past chats, tone preferences, and files
• Projects now offers deep research, voice mode, mobile file uploads, and more
• OpenAI wants Projects to function more like smart workspaces than one-off chats

ChatGPT's Projects feature has been a useful way to organize conversations with the AI chatbot since it debuted, but it has had its limitations. A major set of upgrades released by OpenAI this week has transformed Projects from a simple file folder into a highly focused version of ChatGPT as a whole.

The Projects feature debuted as a way to organize related chats and files into one digital shoebox. But now, that organization means ChatGPT will remember that those chats and files are related. So, if you start a chat within a Project, the AI will remember things from other chats in that project, referencing your past messages within the same workspace.

If you start a new Project, you can upload your notes, chat about the topic with ChatGPT, ask for online comparisons, and then come back three days later to continue the conversation without rehashing everything or having the AI cite unrelated discussions. ChatGPT won’t just remember the topics either. It will remember your formatting preferences, as well as your tone of voice.

And those can be a lot more complex conversations now that Projects includes the Deep Research tool, which lets you run multi-step tasks in ChatGPT, blending your files and instructions with live information from the web.

You can also now use ChatGPT's voice mode in Projects. Tap the microphone inside any project and start talking about the files within or anything else, and you'll see it appear. And if you're using the mobile app, you can now upload files directly and switch between GPT-4o or other models on the fly.

Other upgrades are more minor but still significant. For instance, if you have a Project that you don't want to share in its entirety, but it includes a particular ChatGPT conversation you wish to send to someone, you can do that now. And if a discussion with ChatGPT suddenly inspires you to start a Project, you can now drag it directly into a project folder or convert it instantly from the sidebar.

Not everyone can use the upgraded Projects features as of yet. You have to be a ChatGPT Plus or Pro subscriber for now. However, based on many other ChatGPT features that were once exclusive to subscribers, I wouldn't be surprised if these become accessible to free users at some point in the future.

AI project power

As impressive as ChatGPT Projects could be now, I wouldn't expect to see offices throwing out their Notion or Trello programs anytime soon. They still lack some of the common elements of those tools, like calendars. But, for personal or just smaller efforts, it's a nice enhancement of the AI assistant, one that might at least help OpenAI compete with the AI infusions Google has been adding to its ecosystem.

OpenAI has been clear that they don't just want to be a chatbot provider. They want to be your go-to for life and work. These upgrades feel like the early sketches of something more ambitious. OpenAI might someday pitch ChatGPT as an alternative to toggling between ten apps. Instead, you might one day just open ChatGPT and say, “Let’s pick up where we left off on the next work presentation.”

A little experimentation on my part found the upgraded Projects seemed more efficient almost immediately, but not without some hiccups. One large collection of conversations I've organized for testing other features was a little too eager to dredge up the initial interactions rather than pull from more recent discussions about ChatGPT's capabilities. And while Projects can now reference past chats, the actual search and navigation between those chats still isn’t perfect. There's no Boolean logic to use to isolate certain phrases yet, so you might have to do some scrolling to find what you're looking for.

Still, even with the inevitable friction, I can see the value of making Projects more of a self-organizing AI data source, rather than simply a file folder for documents, as it has been. Whether compiling research, analyzing data, or plotting the perfect party, it could make using ChatGPT a lot less chaotic.

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• Gigabyte's AI TOP 500 TRX50 is a desktop built for AI developers working on massive LLMs
• Older Threadripper CPU included but motherboard supports newer upgrades
• GeForce RTX 5090 GPU paired with software for model tuning

Gigabyte has quietly launched the AI TOP 500 TRX50, a high-end system aimed at developers working on AI models and advanced multimodal tasks.

The machine is powered by AMD’s 24-core Ryzen Threadripper PRO 7965WX processor and cooled by an AORUS 360 AIO liquid cooler. This combination allows it to outperform Gigabyte’s previously announced Arrow Lake-S-based AI TOP 100 Z890.

Interestingly, as TechPowerUp reports, the AI TOP 500 still relies on AMD’s current-generation "Zen 4/Storm Peak" architecture, even with the Threadripper PRO 9000 series expected to launch in the near future.

Ports galore

Fortunately, Gigabyte’s TRX50 motherboard supports future upgrades, which could appeal to those planning longer-term builds. VideoCardz suggests that a version using the 32-core 7975WX might be released soon.

Like the AI TOP 100, the 500-series prebuild also includes Gigabyte’s own GeForce RTX 5090 Windforce graphics card.

Internally, the desktop (which bears a striking resemblance to the Cooler Master HAF 700) supports up to 768GB of DDR5 R-DIMM memory across eight slots.

Storage comes in the form of a 1TB AI TOP 100E cache SSD, built to endure heavy write cycles, and a 2TB AORUS Gen 4 SSD for primary use. Power is provided by a 1600W AI TOP Ultra Durable PSU rated at 80 Plus Platinum and compatible with ATX 3.1.

The AI TOP 500 offers a wide range of connectivity options. Up front, users get four USB 3.0 ports, one USB 3.2 Gen 2 Type-C port, audio in and out jacks, and both power and reset buttons. On the rear are six USB 3.2 Gen 2 ports, two USB4 40Gbps Type-C ports, dual RJ-45 LAN ports, a DisplayPort input, and two additional audio jacks.

The workstation also supports multi-node expansion through Thunderbolt 5 and Dual 10G LAN, making it a practical option for research labs or development teams.

The system is tightly integrated with Gigabyte’s AI TOP Utility software platform which helps users manage AI models, build datasets, and monitor hardware performance in real time.

With support for up to 405 billion parameter models, Gigabyte is targeting users who require serious local compute performance without relying on cloud resources…. And, gamers too, apparently, if its tagline of “Premium gaming & AI empowered desktop” is to be believed.

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• Forescout report finds many vulnerable solar devices run outdated firmware with known exploits active in the wild
• Europe holds 76% of all exposed solar power devices, with Germany and Greece particularly at risk
• SolarView Compact exposure jumped 350% in two years, and it's already linked to cybercrime

The rapid growth of solar energy adoption worldwide has sparked renewed concerns about cybersecurity vulnerabilities within solar infrastructure.

A study by Forescout’s Vedere Labs found nearly 35,000 solar power devices, including inverters, data loggers, and gateways, are exposed to the internet, making them susceptible to exploitation.

These findings follow a previous report by Forescout which identified 46 vulnerabilities in solar power systems.

High exposure and geopolitical implications

What’s particularly alarming now is that many of these devices remain unpatched, even as cyber threats grow more sophisticated.

Ironically, vendors with the highest number of exposed devices aren’t necessarily those with the largest global installations, suggesting issues such as poor default security configurations, insufficient user guidance, or unsafe manual settings.

Forescout found Europe accounts for a staggering 76% of all exposed devices, with Germany and Greece most affected.

While an internet-exposed solar system isn’t automatically vulnerable, it becomes a soft target for cybercriminals. For example, the SolarView Compact device experienced a 350% increase in online exposure over two years and was implicated in a 2024 cyber incident involving bank account theft in Japan.

Concerns around solar infrastructure deepened when Reuters reported rogue communication modules in Chinese-manufactured inverters.

Although not tied to a specific attack, the discovery prompted several governments to reevaluate the security of their energy systems.

According to Forescout, insecure configurations are common, and many devices still run outdated firmware versions. Some are known to have vulnerabilities currently under active exploitation.

Devices like the discontinued SMA Sunny WebBox still account for a significant share of exposed systems.

This is not just a matter of faulty products, it reflects a system-wide risk. While individually limited in impact, these internet-exposed devices may serve as entry points into critical infrastructure.

To mitigate risk, organizations should retire devices that cannot be patched and avoid exposing management interfaces to the internet.

For remote access, secure solutions such as VPNs, along with adherence to CISA and NIST guidelines, are essential.

Additionally, a layered approach using top-rated antivirus tools, endpoint protection solutions, and especially Zero Trust Network Access (ZTNA) architecture may be necessary to keep critical systems insulated from intrusion.

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• AMD is aggressively acquiring talent to bridge the Instinct and Blackwell GPU performance gap
• Brium’s compiler expertise could help AMD accelerate inference without hardware-specific dependencies
• Untether AI's team joins AMD, but existing customers are left without product support

AMD’s recent moves in the AI sector have centered around strategic acquisitions aimed at strengthening its position in a market largely dominated by Nvidia.

These include the acquisitions of Brium, Silo AI, Nod.ai, and the engineering team from Untether AI, each targeted at bolstering AMD’s AI software, inference optimization, and chip design capabilities.

The goal is clear: narrow the performance and ecosystem gap between AMD’s Instinct GPUs and Nvidia’s Blackwell line.

Calculated acquisitions amid a competitive ecosystem

AMD described the acquisition of Brium as a key step toward enhancing its AI software capabilities.

“Brium brings advanced software capabilities that strengthen our ability to deliver highly optimized AI solutions across the entire stack,” the company said.

Brium's strengths lie in compiler technology and end-to-end AI inference optimization, areas that could be crucial for achieving better out-of-the-box performance and making AMD’s software stack less reliant on specific hardware configurations.

While this makes for a strong technical case, it also suggests that AMD is still playing catch-up in the AI software ecosystem, rather than leading it.

Brium’s integration will affect several ongoing projects, including OpenAI Triton and SHARK/IREE, which are seen as instrumental in boosting AMD’s inference and training capabilities.

The use of precision formats such as MX FP4 and FP6 points to a strategy of squeezing higher performance from existing hardware. But the industry has already seen similar moves from Nvidia, which continues to lead in both raw processing power and software maturity.

Another notable move was AMD’s absorption of the entire engineering team from Untether AI, a Canadian startup known for its energy-efficient inference processors. AMD didn’t acquire the company, only the talent, leaving Untether’s products unsupported.

“AMD has entered into a strategic agreement to acquire a talented team of AI hardware and software engineers from Untether AI,” the company confirmed, highlighting a focus on compiler and kernel development along with SoC design.

This signals a strong push into inference-specific technologies, which are becoming increasingly critical as training-based GPU revenue faces potential decline.

“AMD’s acquisition of Untether’s engineering group is proof that the GPU vendors know model training is over, and that a decline in GPU revenue is around the corner,” said Justin Kinsey, president of SBT Industries.

While that may overstate the situation, it reflects a growing sentiment in the industry: energy efficiency and inference performance are the next frontiers, not simply building the fastest systems for training large models.

Despite AMD’s optimism and commitment to “an open, scalable AI software platform,” questions remain about its ability to match Nvidia’s tight integration between hardware and CUDA-based software.

Ultimately, while AMD is taking calculated steps to bridge the gap, Nvidia still holds a considerable lead in both hardware efficiency and software ecosystem.

These acquisitions may bring AMD closer, but for now, Nvidia’s Blackwell remains the benchmark for what is widely regarded as the best GPU for AI workloads.

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• Default passwords and outdated firmware are turning your home camera into a public livestream, report warns
• Thousands of exposed webcams are offering a front-row seat into private and corporate life
• A simple web browser is all it takes to peek into 40,000 unsecured camera feeds

Thousands of internet-connected webcams, intended to enhance safety and convenience, are now unintentionally offering a window into private lives and secure environments.

Research by Bitsight claims over 40,000 webcams around the world are publicly accessible online, often without their owners’ knowledge.

These include security cameras, baby monitors, office surveillance systems, and even devices inside hospitals and factories.

A growing digital threat, not a hypothetical one

The investigation highlights just how easily accessible these cameras are.

“No passwords. No protections. Just out there,” wrote João Cruz, Principal Security Research Scientist at Bitsight TRACE, noting it requires neither elite hacking skills nor expensive software. In many cases, all it takes is a web browser and a valid IP address.

“We first raised the alarm in 2023, and based on this latest study, the situation hasn’t gotten any better.”

Exposed footage ranges from innocent scenes, like bird feeders, to far more sensitive views, such as home entry points, live feeds from living rooms, whiteboards in office spaces, and even operations inside data centers.

Worryingly, disturbing conversations have emerged on dark web forums, where some users share methods for locating exposed cameras, or even sell access to live feeds.

“This isn’t hypothetical: this is happening right now,” Cruz emphasized.

The United States leads with roughly 14,000 exposed cameras, followed by Japan, Austria, Czechia, and South Korea. These aren’t isolated incidents but part of a broader failure in how internet-connected cameras are deployed and managed.

Bitsight’s team scanned for both HTTP- and RTSP-based cameras, and the results suggest these figures may only scratch the surface.

Many of the exposed devices result from basic setup errors: default credentials, open internet access, and outdated firmware that leave systems vulnerable.

While vendors and manufacturers must improve device security, users also share responsibility.

Choosing products vetted for cybersecurity can help, but users should also pair their camera setups with tools like leading antivirus software and top-rated parental control solutions, which often include network monitoring to flag unusual access or unprotected devices.

Ultimately, private users should always check remote accessibility settings, change default passwords, update firmware regularly, and, especially for enterprises, enforce firewall protections and require VPN access.

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