The WikiLeaks founder Julian Assange carved a reputation as a firebrand and intense critic of the modern tech companies after rising to fame following the WikiLeaks disclosures. Although he's been absent from the public eye in recent years, he frequently commented on the emerging trends in the technology landscape.
Big Brother is watching youParaphrasing a famous line from George Orwell's 'Nineteen Eighty-Four', Assange used Google's failed smart glasses as a rhetorical device to critique their philosophy in an op-ed for The New York Times.
Quote of the dayThis 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.
In his column, he was critiquing a new book titled 'The New Digital Age' by Google's then-executive chairman Eric Schmidt and businessman Jared Cohen, who was then director of Google Ideas.
This book outlined Google's vision for how the world was changing and laid out the company's role in reshaping it. But, to Assange, it was a bland and uninspired account of how this company was implementing George Orwell's prophecy without even really understanding how.
Drawing from the original line, Assange's disdain for the company is as clear as day in the way that he compared people wearing Google Glass to "a boot stamping on a human face".
Don't be evilThe modern form of this Orwellian vision is centered around consumer technology, Assange believed, and gadgets like the Google Glass were akin to tools that would serve to sap users' independence and privacy.
Although Google Glass itself was a failure, the point is more about the fears that this device represented. Now, more than a decade on, developments have more or less vindicated his dystopian perspectives – with a growing perception that a mass surveillance state is being precipitated by the surrender of privacy.
Some may argue this is a feature inherent to the use of consumer devices as well as software and services, and present in modern trends such as doomscrolling.
While it wasn't as widespread as the massive Verizon outage in January 2026, the big red carrier did experience an issue that primarily impacted voice services in the United States.
Starting at about 4 PM ET reports on services like DownDetector began spiking for Verizon, with comments on the site and on social media reporting that folks were having issues making calls. I'm even seeing this on my iPhone 17 Pro Max, which is connected to Visible — a Verizon MVNO — with many calls still failing.
At its height, DownDetector showed over 13,000 reports of issues with Verizon, while other carriers like T-Mobile and AT&T were also seeing spikes. Verizon's Support account on X (formerly Twitter) was first to respond to some customers, confirming an issue "impacting voice services for wireless customers in some parts of the U.S."
More than 3 hours later, Verizon confirmed that the issue was resolved, in a statement writing: "Our engineers have resolved the issue that affected voice services for some wireless customers this afternoon. We know how much you rely on us, and we’re sorry for the inconvenience. If you are still having any trouble with your service, please try restarting your device."
Ahead, you can read our live reporting on Verizon's issues that impacted voice services for many of its customers across the United States from about 4PM ET through 7:30PM ET on August 8, 2026.
August 8, 2026 – 5:32 PMVerizon confirms an issue on XWhile Verizon hasn't listed an active issue on its site yet, the carrier is responding to individual accounts noting service issues. Responding to one user on X, the @VerizonSupport account writes, "We are aware of an issue impacting voice services for wireless customers in some parts of the U.S. Our engineers are engaged and we are working quickly to identify and resolve the issue."
We are aware of an issue impacting voice services for wireless customers in some parts of the U.S. Our engineers are engaged and we are working quickly to identify and resolve the issue. Please visit our Check Network Status page for updates on service in your area. We know how…August 8, 2026
August 8, 2026 – 5:35 PMI'm in New Jersey with an iPhone connected to Visible, and I'm experiencing voice issues, specifically when trying to make or receive calls. These ultimately result in a "Call Failed" response, but I still have four bars of service, and LTE or 5G remains functional.
Many Verizon customers experiencing issues, though, are taking to social platforms like X from Virginia and Western New York. It's not just the Northeast, either, as the outage appears to be impacting much of the East Coast.
@Verizon why can’t we call out in? Phones in Virginia are not workingAugust 8, 2026
This is about to be the last straw tbh @VerizonAugust 8, 2026
@Verizon you service is really bad in area code 716 todayAugust 8, 2026
August 8, 2026 – 5:41 PMVerizon's system issue is mainly impacting phone calls, not data or internetAs far as we can tell, the issue impacting Verizon today is mainly hindering phone calls. I've experienced it on Visible, as has my colleague Lance Ulanoff, who's on Verizon, as have many other impacted users who are taking to social media to post about issues with the carrier.
Internet works, but can’t make a phone call. Nightmare considering what Verizon chargesAugust 8, 2026
The post above hits the issue squarely on the head right now – this user is on Verizon, and internet likely over 5G or LTE is working, but is unable to make phone calls.
Seriously @Verizon. Another Outage in Michigan pic.twitter.com/2hbgeGdqoPAugust 8, 2026
August 8, 2026 – 5:45 PMLet us know if you're impacted by the Verizon voice outageIf you're on Verizon, Visible, or another carrier, vote in the poll below to let us know whether you're currently affected by this voice service issue. Feel free to comment down below as well and let us know what issue you're experiencing.
August 8, 2026 – 5:47 PMVerizon confirms an active 'Voice Issue'Now, if you navigate to Verizon's site and check for outages, there is now some language confirming a voice issue if you're in an impacted area. That's good news, as it's always mission-critical for carriers to be responsive and communicative during an outage like this.
(Image credit: Future/Lance Ulanoff)And here's what it looks like on an iPhone that's connected to Verizon when the call fails, and this screenshot is from my colleague Lance, but I'm also experiencing the same error – albeit after it tries for a few seconds – in New Jersey on Visible.
(Image credit: Future/Lance Ulanoff)August 8, 2026 – 5:56 PMWhile many reports of issues making or receiving phone calls with Verizon were originally in the Northeast and on the East Coast, it appears to be a more widespread issue as more users have begun posting on social media from places like Nashville, Michigan, and Chicago.
Let us know in the comments below if you're impacted by this Verizon issue.
Me too in NashvilleAugust 8, 2026
Are you experiencing the Verizon outage? What to know as more than 10,000 users reported issues with their wireless servicehttps://t.co/G5EMMOE616August 8, 2026
Verizon is down. My sister keeps calling me, talking for a few secs and the call drops. She has done this 10x ( so far). I told her Verizon is down. I texted her that Verizon is down and she (boomer) keeps asking me how to make her phone work. I finally told her to shut it off &…August 8, 2026
August 8, 2026 – 6:02 PMReports on Down Detector are starting to dropWhile at the height of this issue with Verizon, we saw many reports on social platforms like X and over 13,000 reports on Down Detector; reports on the latter are now sitting at under 10,000, at 9,367. That does show that Verizon's voice service might be starting to recover, and at the same time, my colleague Lance was just able to make two successful phone calls on his iPhone connected to Verizon.
That's good news and hopefully an effect that can trickle across those experiencing issues. We're still waiting for an update from Verizon on X or on its own site noting the issue is resolved, but the carrier has made it clear it is working on it. fix.
(Image credit: Future)August 8, 2026 – 6:05 PMVerizon's engineers are 'working quickly to identify and resolve the issue'Verizon responded to our inquiry and has confirmed an active issue "impacting voice services" for its customers in the United States.
The full statement reads: “We are aware of an issue impacting voice services for wireless customers in some parts of the U.S. Our engineers are engaged and we are working quickly to identify and resolve the issue. Please visit our Check Network Status page for updates on service in your area. We know how much people rely on Verizon and apologize for any inconvenience. We appreciate your patience.”
There's no exact word on what started this issue or an ETA for when service might return to normal, but the carrier has its engineers actively working on it, and for some, it seems the network is starting to rebound. Let us know if you're still being impacted in the comments below.
August 8, 2026 – 6:34 PMVerizon's making progress on the issue, and suggests 'restarting your phone' if you're still having issuesVerizon shared another update with this, and it mentions a classic recommendation during any outages – the old adage of restarting your device.
The full statement reads: "Verizon engineers are making progress on an issue impacting voice services for some wireless customers. If your service is still impacted, we recommend restarting your device. We know how much people rely on Verizon and apologize for any inconvenience some of our customers experienced today. Our team is continuing to work non-stop until this issue is fully resolved. Please visit our Check Network Status page for updates on service in your area."
Restarting the device might help get your device back online while Verizon's engineers work toward a full resolution of the carrier's voice services for impacted customers. It does seem that for some, though, the network is coming back.
I have Verizon as well and service was streaky today. It’s better now though.August 8, 2026
August 8, 2026 – 7:32 PMVerizon says the issue is resolvedWell, along with Down Detector reports dropping to well under 1,000 and with fewer posts about Verizon being down or experiencing an outage on X and Threads, Verizon has confirmed the issue that impacted voice service for its customers is now resolved.
The statement reads: "Our engineers have resolved the issue that affected voice services for some wireless customers this afternoon. We know how much you rely on us, and we’re sorry for the inconvenience. If you are still having any trouble with your service, please try restarting your device."
That's excellent news and arrives about three and a half hours after issues with making phone calls began spiking, and more than 13,000 reported issues later. Verizon isn't sharing what caused the issue today, though; if you're still experiencing an issue, the carrier does suggest restarting your device. Service for my iPhone on Visible – a Verizon MVNO – and for Lance's iPhone on Verizon has returned to normal, so I do hope it's working again for you if you were experiencing an issue.
Additionally, Verizon isn't saying anything about compensation or credit for today's outage, though it is clear that it was pretty widespread for phone call issues.
Following the recent Future of Memory and Storage conference, Nvidia has argued that the next leap in AI rests as much on the storage feeding accelerated computing as on the silicon doing the computing.
The company open sourced its cuFile APIs and the storage stack beneath them, and formally launched an industry initiative called Storage-Next with more than 40 flash and storage vendors.
It also put a name to SCADA, the framework that lets GPUs pull data from drives without the CPU brokering every request.
A 512-byte problem that comes into focus as storage becomes keyNvidia's approach here is not new. cuFile was introduced in 2019 as the interface component of GPUDirect Storage and has shipped since 2021; its role is to take the CPU out of the data path. Bytes move by Direct Memory Access (DMA) straight between the drive and GPU memory, with no bounce buffer in host RAM. What stayed on the CPU was the control path: host software still decided what to fetch and issued every request, with the GPU as the DMA target rather than the initiator.
That split is invisible at large transfer sizes. A one-megabyte read essentially amortizes the per-request cost. At 512 bytes, the ratio inverts, the fixed cost dominates, and the CPU saturates long before the drives do. SCADA is the piece that moves the control path onto the GPU, letting it construct and complete its own storage requests and absorb per-operation latency, just as it already absorbs memory latency by keeping hundreds of thousands of operations in flight. The two are complementary rather than successive: cuFile for bulk transfers, SCADA for high volumes of small random reads.
The problem it solves is one that enterprise SSDs exhibit, having been tuned around 4KB random reads for nearly a decade to match virtualization and databases. As a result, most controllers do the same amount of work to serve 512 bytes of data as they would a 4KB read request.
AI inference access patterns are considerably smaller than that: embeddings run a few hundred bytes, and the KV cache blocks sit well under a kilobyte. Serving them from 4K-tuned drives imposes something like eightfold read amplification, and at tens of terabytes of small objects, that amplification decides whether flash works as a memory tier at all.
The KV cache, essentially the attention state for every token already processed, grows with context length, and agentic deployments run thousands of concurrent conversations. It quickly outgrows GPU memory, and recomputing evicted entries costs more GPU time than reading them back, so the standard design spills from GPU memory to system memory and flash, and refills through high volumes of small random reads.
Serving that from flash rather than DRAM increases the context length and the concurrent user count each GPU can support, which in turn affects the per-user cost of serving a model. This also explains why Nvidia is focusing on 512-byte IOPS rather than raw bandwidth, since inference performance depends heavily on the former.
Opening up cuFile is a departure; this layer has historically lived inside CUDA, and the logic is not charity. A GPU-initiated storage interface only pays off if drive, controller and array vendors build to it, and vendors do not build to a proprietary interface owned by the company whose GPUs they are feeding.
Publishing the interface, open-sourcing the implementation, and convening 40-plus vendors to standardize the underlying hardware behavior is how Nvidia aims to make GPU-initiated storage the industry default. It also stands to benefit the most from that outcome, since it sells most of the GPUs in question.
StorageReview notes Intel's participation as a significant development; a leading supplier of the x86 silicon currently sitting in storage controllers has signed on to maintain software designed to remove that silicon from the I/O path. Google and Meta co-maintaining a layer that standardizes how accelerators reach storage, while building their own accelerators, points in the same direction.
Nvidia's take is a coherent, well-argued push at a real bottleneck, with unusually credible partners attached. Partner systems from DDN, Dell, HPE, IBM, VAST Data and WEKA are due in the second half of 2026. Kioxia's XL-Flash drives built for 512-byte access are in development under Storage-Next.
Nvidia's roadmap calls for Gen7 SSDs sustaining 100 million IOPS each, which is a target controller vendors are designing toward rather than a product anyone can buy. Storage-Next itself has been discussed publicly since GTC 2025; this week, it acquired both a membership number and a framework to build against.
Spotify wants to introduce new ways for listeners to engage with the artists they love the most, all while expressing their own creativity.
The streamer’s audio mixing feature for playlists has sky-rocketed in popularity, introducing a new way for listeners to modify their playlists. Now Spotify is working on a new AI-powered fan-made covers and remix tool — and it’s seeking the help of Merlin.
Spotify’s upcoming remix tool will come as a subscription add-on, though we don’t know when it’s due to drop or how much it will be on top of the current $12.99/ £12.99/ AU$15.99 monthly Spotify Premium plan.
Despite knowing very little about it, we do know that the remix feature will garner significant attention across the board of users, artists, organizations, and analysts alike. So what’s the end-goal for Spotify, and what are people saying about its potential knock-on effects for musicians and listeners?
What is the agreement?(Image credit: Spotify)On August 4, Spotify and digital licensing partner Merlin announced a new agreement that would give artists on labels under the Merlin name the option to lend their music to Spotify’s remix feature. Merlin is the second organization to sign on to the deal, following Universal Music Group in May.
For Spotify, the goal is simple: to ‘give listeners a new way to engage with the music they love from participating artists and songwriters,’ as stated in the announcement. Spotify also says the tool ‘will create an additional revenue stream for participating artists’.
However, despite knowing the tool will be AI-powered, Spotify hasn’t gone into detail as to exactly how it will allow listeners to create their own remixes of their favorite songs. The discourse around AI-generated slop is still a hot topic, and Spotify is still bearing the brunt of harsh criticism, so its venture into launching AI-powered music add-ons has left everyone scratching their heads.
What are Spotify’s competitors saying?(Image credit: Qobuz)As far as rival music streamers go, it’s safe to say the top dogs aren’t too interested in integrating AI throughout their respective UXs. While the likes of Apple Music and Tidal use algorithmic recommendations to fuel discovery, the number of generative AI tools is nowhere near as saturated as Spotify.
Listening to an artist’s music in the way it was released is the only concern for most companies, particularly for Dan Mackta, Managing Director at Qobuz, who gave us the following statement: “Qobuz isn’t looking at anything like this. The finished music that great artists release is good enough for us and our community”.
The desire to keep the traditional listening experience in place is quite prevalent on the one hand. Some users just want to kick back with an album or playlist, hit the play button, and let the music do its thing. But as music analyst and founder of MIDiA Research Mark Mulligan points out, the yearning for active participation is growing.
Mulligan detailed this in a comment shared with us: “A growing share of consumers want to do more than just listen. Audio modification is an opportunity both to tap into consumer creativity and fandom. Playing around with your favourite artist’s song is an ultimate expression of fandom”.
Additionally, he backed this up with his own findings from the recent MIDiA Q1 2026 consumer survey: “The potential of audio modification is significant. Consumer demand is clear, with 54% of consumers interested in some form of audio modification, from changing speed to swapping vocals, rising to 80% for 16–19-year-olds”.
Participatory music is a rising phenomenon, and software labels like A Vinyl Bar in Shibuya want to create experiences that go beyond just listening to a song. However, AI is out of the question, and the creativity is placed in the hands of the user, not generated by a machine.
What are artists/ organizations saying? (Image credit: Musician's Union)In light of Spotify’s announcement, it’s not just competitors that are having their say on the AI-powered remix tool. Additionally, artists and music organizations are questioning the long-term financial effects the feature could have.
Musician’s Union is a UK-based organization that represents artists in all areas of the music industry, and its General Secretary Naomi Pohl views Spotify’s partnership with two minds.
“The Merlin and Spotify announcement sounds positive as it suggests artists will have the choice to participate in licensing deals or not and, crucially, that they will share in any revenue generated by the use of their works. This is better than the blanket approach taken by some major labels,” she tells us, but she also raises concerns about how artists will be paid, adding the following:
“However, as with music streaming royalties, there is a question over how artists signed to independent labels will be paid by their label. Artists should in theory get 50% of any revenue their label receives, but in practice this may not happen in all cases as it will depend on the label’s interpretation of the artist’s contract. Many artists signed before AI deals were even conceived of. And, as with music streaming, session or backing musicians on tracks currently stand to receive no share of revenue”.
When it comes to royalties, Spotify has faced severe criticism due to its payment model. Because Spotify pools money generated from subscriptions, it means the most streamed artists over the year will receive a higher percentage of the profits made. So, even if you spend an entire year supporting and streaming an up-and-coming indie band, your subscription money is still going to artists like Taylor Swift.
Royalties aside, the other concern lies within the protection of music in its original form. PRS for Music, who handle the rights and royalties behind music, feel this strongly. “More generally, streaming services are embracing new technologies, including AI, to give fans new ways to engage with the music they love,” a PRS spokesperson told us.
But despite these emerging consumer tools, what could easily get lost is the care for the music itself. PRS fears this will become less of a priority, adding “Creators, and their work, must be central to the development of these new tools. They must be designed specifically to protect the integrity of the work above all else, and to ensure creators are fairly paid for the value they bring to each and every platform”.
At the end of the day, these platforms are there not only for fans to listen and engage with music, but they're there for artists to allow fans to hear music the way they intended. Though Spotify's AI-powered remix tool would be a creative addition to the service, how long will it be before everyone reverts to streaming AI-generated mashups instead of the real thing?
The Logitech Mobi Fold is, without question, the weirdest mouse I have ever used in my life.
This tiny, foldable travel mouse is focused on one thing above all: portability. Just like a clamshell phone from the noughties, it can fold in half, allowing you to easily slip it into your pocket if you’re working on the go. But even though the Logitech Mobi Fold’s exceptional portability is its clear USP, I have to ask… is it actually that necessary?
After all, a lot of mice are already highly compact, and if you’re working on the go, you’ve probably got a bag to hold your laptop or tablet, right? I’d bet that your bag can fit a laptop and a mouse, so arguably, the thing that makes this mouse so special isn’t actually that game-changing.
Still, the Mobi Fold has a few interesting features to run through, and you’re surely curious as to how such a strange model feels in use. So, after using the Logitech Mobi Fold as my main mouse for a few days, here’s how I’d rate it — and whether I think it can compete with the best mice around.
First things first, the Mobi Fold is incredibly easy to get set up. There’s a sync button on it that makes linking up to a windows laptop, Mac, or Android device incredibly seamless. There’s also an easy switch feature, making it incredibly speedy to flick between a range of devices.
But after I got set up with the Mobi Fold, and started using it to get some work done I have to say… it wasn’t amazing.
The Mobi Fold exhibits a few key issues that make it feel inferior to a standard compact or productivity mouse. First of all, it has a slightly bizarre build. Its V-shape form makes it feel awkward to grip, and when using it for extended periods, this caused me to feel some discomfort in my hand. It lacks the ergonomics of my everyday mouse, the Razer Viper V3 Pro, and even lacked its fluidity, meaning moving it across my desk felt clunky.
In addition, the touch-controlled scrolling is a bit inconsistent. It doesn’t provide the same tight control of a traditional mechanical scroll wheel, and again feels a bit lacking in terms of fluidity. Don’t get me wrong: it’s totally functional, but if you want the smooth, precise scrolling of a traditional mouse, the Mobi Fold may leave you wanting more.
My final critique is on the feel of the left and right buttons. While these are serviceable, they felt more stiff than I expected them to, especially towards the back and middle of the model. I did appreciate the muted sound of clicking the left and right buttons, but I wish they felt a bit more sensitive.
(Image credit: Future)Despite all of this, there are some clear positives worth pointing out. First of all, the mouse offers great battery life. It supplies about 22 hours of continuous use, which easily got me through the work week, meaning I didn’t need to charge it at all during the testing period. Having said that, Logitech says that you can get an extra three hours of use from just one minute of charging, making it exceptionally practical for someone like me who often forgets to juice up their devices.
In addition, the Mobi Fold features customizable button controls through the Logi Options+ app. This enables you to adapt pointer speed, set the central touch panel to different functions (like paste, volume controls, or a keyboard shortcut), and more.
In terms of design, I’m also a fan of the rubbery texture of the mouse, which is very pleasant to the touch. It’s also worth noting that 36% of the plastics used in the Graphite colorway of the mouse I used are made from recycled materials. It’s 29% for the Lilac and Off-White variants, which look pretty stylish in my opinion.
Look, the Logitech Mobi Fold does well to stand out from the crowd. Its lightweight and foldable design undoubtedly makes it easy to travel with — even though I’d argue that standard mice are probably portable enough as they are. In addition, the customizable buttons, long battery life, and satisfying feel of the mouse are clear positives.
But for $79.99 / £69.99 / AU$129.95, the Mobi Fold ends up feeling like a relatively poor value for money option. Really, that comes down to one thing: its lackluster performance. With underwhelming ergonomics, as well as slightly stiff scrolling and buttons, the Mobi Fold feels like an idea that’s far more impressive in concept than it is in practice.
(Image credit: Future)Logitech Mobi Fold review: price & release dateThe Logitech Mobi Fold released in June 2026, carrying a list price of $79.99 / £69.99 / AU$129.95. That price means it’s competing in the same price bracket as great models we’ve tested, such as the Keychron M6 8K, but a lot more than our favorite ultra-compact mouse, the Logitech Pop Mouse. It's available in four colors, including Graphite, Off-White, Lilac, and Sand.
Logitech Mobi Fold review: specsInterface
Bluetooth 5.1 LE
Battery life
22 hours (continuous use)
Buttons
4
DPI
4,000
Switches
Not stated
Weight
2.8oz / 79g
(Image credit: Future)Should I buy the Logitech Mobi Fold?Attribute
Notes
Score
Design
Lightweight and foldable for travel, nice material and color options, but poor ergonomics.
3/5
Performance
Functional, though clicking feels a bit stiff, touch scroll panel isn’t most precise, and uncomfortable for longer usage sessions.
2.5/5
Value
Simply too expensive for the quality on offer.
2.5/5
Buy it if…You want something ultra-portable
Perhaps the main attraction of the Mobi Fold is its ultra-compact form factor. If you want something you can slide into your pocket for on-the-go use, it doesn’t get much more convenient than this.
You want a stylish mouse
One thing I won’t deny about the Mobi Fold is that it's pretty stylish. Its foldable design, its enticing color options, and its appealing silicone exterior all work in its favor.
You want top-tier ergonomics
The slightly odd shape of the Mobi Fold can make it a little awkward to grip and use for longer periods, meaning it's not the best option if you value great ergonomics and comfort.
You’re looking for precise performance
The Mobi Fold uses a touch sensor for scrolling, and it just doesn’t feel as precise as a typical mechanical scroll wheel. Pair that with slightly stiff left and right buttons and its unorthodox feel, and it falls short of some major competitors in its price range.
Logitech Pop Mouse
Logitech knocked it out of the park with the Pop Mouse, which is one of our favorite compact models you can buy. With satisfying clicks, good customization options, and easy switching, it's a certified hit — especially when you consider its modest asking price.
Keychron M6 8K
This one’s a little different, but if you have the budget to grab the Mobi Fold, then you may want to consider a model like the Keychron M6 8K instead. It boasts a lightweight feel, 8K polling, fantastic ergonomics, and a feature-rich companion app, making it a brilliant all-rounder.
I spent multiple days testing the Logitech Mobi Fold, using it as my main mouse in the office and when working from home.
During my time with the Mobi Fold, I used it for general productivity, exhausted its various features, and even took it on the go to assess its on-the-go credentials. I typically had the mouse connected to my Windows PC, but I also tried it out with an Android phone.
More generally, I’ve spent years testing gadgets here at TechRadar, where I serve as an in-house Senior Reviews Writer. I’ve tried out a wide array of computing accessories, such as the Turtle Beach Command Series KB7 keyboard, as well as gaming gear, premium wireless headphones, power banks, and more.
It appears that the RAM crisis is getting worse than ever as we head further into 2026. I've been closely watching and reporting on memory price hikes — which were soon followed by other PC component cost increases — since this crisis first began, and the worrying thing is, I can't recall a gloomier stream of negative news than I've witnessed over the past few weeks.
That includes Samsung recently declaring that the RAM crisis is going to become more severe in 2027, and rumors that even mighty Apple is floundering in its attempt to secure new RAM supplies from China (as other notebook makers consider this alternative route to the three main memory chip giants: Micron, Samsung and SK Hynix).
Previous to that, we saw laptop maker Framework break news of a truly eye-opening cost increase for mobile RAM, just as one gauge of DDR5 pricing saw it jump in price to a new all-time high (after plateauing earlier this year). On top of that, the boss of SK Hynix voiced the opinion that 2027 will be the worst year in the RAM industry's history, and that the crisis is likely to be drawn out to the next decade.
This isn't just about RAM, of course, but other components, including CPU price rises, and devices themselves — PCs and laptops (and phones). But most notably over the past month it's been graphics cards in the crisis limelight. We've witnessed the resurrection of old GPUs to try to bolster stock levels of more affordable cards, and more recently we've been subjected to what seems like an endless parade of negativity about imminent price hikes.
Apparently, Gigabyte is set to increase the price tags of its graphics card to the tune of 20% to 40% in Japan, and MSI is going to jack up prices of Nvidia GPUs in China by 20% or more. Asus is supposedly preparing a similar 20% hike (as Wccftech reported).
Another recent gloom nugget is the assertion that Nvidia RTX 5000 models will get hikes of 30% in South Korea this month, and all of this pain is mainly rooted in the increased price of video RAM, of course. (Those cost increases are the reason the RTX 5000 Super refreshes have been delayed, according to the grapevine, as those rumored cards are packed with VRAM).
While a good deal of this is individual pieces of regional activity with GPU pricing, it's obvious that these hikes are happening as part of a concerted shift, one that will surely be reflected globally — it's not like Asian markets are in a bubble of their own.
The overarching theme is a worsening of price hike misery, and that the pricing storm is likely to intensify this year, and probably in 2027, too. While previously the RAM crisis has been more of a light-and-shade affair, now it feels like the depression has been turned up a notch. Whereas before, there was certainly more darkness than light, we've had notable spots of relief where an exec in the memory industry stepped forward and theorized that maybe things aren't as bad as we think. But lately those embers of optimism appear to have burned out.
To me, it feels like there's a shift underway towards a full acknowledgement that we really are going to experience a lot more pricing pain in the foreseeable future. If it's so bad that even Apple is purportedly scrambling to secure RAM supplies, and is having trouble doing so, I think it's time to turn up the worry meter by a notch or two.
What should you do?(Image credit: Future / John Loeffler)Here's my advice on the current landscape with PC components and hardware (season it appropriately). Obviously, worrying isn't going to help you, but awareness of what might be sensible upgrades or purchases to make now will, based on the likelihood of hikes (we could call it the 'hike-lihood' – or maybe not). Nothing is certain about the future of components, of course, but it does feel like there's a clear area in which the potential price hikes are a bigger threat: GPUs.
As I discussed above, there's a lot of recent evidence that graphics card pricing is going up. Yes, it's a collection of rumors in the main, but there's a lot of it all pointing in a very similar direction — and a video RAM toll was always going to be exacted in the end. We've seen it already with higher-end graphics cards, and now I believe we're going to see it in the mid-range, and even budget models. Indeed, top-end GPUs are likely to get even more expensive as well.
If you're thinking about a GPU upgrade for this year or next, given all this, I think now really is the time to buy — especially with a lower-tier model, as you can still get more affordable graphics cards at their MSRP. Ditto for mid-rangers, although it's tougher to recommend higher-end Nvidia boards when they are already so expensive.
As noted, though, that could get worse. And granted, you may still want to wait for Black Friday — it's not that far off, and there might be some GPU deals then. However, I wouldn't bank on anything hugely compelling (or discounts that aren't offset by the price rises which are predicted to take hold in the next few months).
So, if there's one PC component that I think you should buy now, it's a graphics card. I think the signs are pretty clear on that (and see here for my recommendations on different models to consider). By extension, higher-end gaming laptops could also be a wise move for purchasing sooner rather than later. That's for the same reason, really — they have beefy (mobile) GPUs (with plenty of VRAM in some cases).
I don't think it's a bad move to buy any laptop, by the way, gaming or not (away from the higher-end), come your earliest window of opportunity. I think we'll see further price rises here, too, and RAM is going to cause more upward pricing pressures for notebooks — just look at Framework's recent revelation as mentioned.
(Image credit: Peter Hoffmann)What about RAM and SSDs themselves? While system memory kits and storage have already seen huge price rises, it now looks like there's worse to come (somehow).
On the other hand, there's a ceiling as to how expensive this stuff can get before buyers withdraw from what they see as an increasingly unrealistic and out-of-touch market. This is a much more difficult call to make, but if you can find something that looks relatively reasonably priced, I don't think you'll regret the purchase in the next couple of years. But that said, I can't recommend a RAM upgrade in particular at current pricing levels, unless it's unavoidable, frankly.
Above all, though, consider a GPU upgrade if you're in the market for a new card, or you think you'll need one in the next couple of years (yes, I think it's wise to be looking quite far down the road here).
The other thing to bear in mind is that there's a danger there will be a rush for GPUs, a flurry of buying that puts further strain on supply and therefore prices. As VideoCardz reports, one Japanese retailer has warned of Nvidia RTX 5000 graphics card sales increasing "sharply", even just with the news of rumored price increases — let alone the confirmation. Prices are already rising and restocks of the RTX 5070 Ti and RTX 5080 are already being labelled as "unstable", hinting that inventory could start to dry up quickly.
That's just one report, of course, and it pertains to the high-end of the market, so it's not something to start panicking about yet. But it does make some sense that if pricing begins to creep up, more PC owners may start to act on GPU upgrades. I wouldn't blame them, frankly.
The Garmin Cirqa is making waves in the fitness community. I put the new screenless tracker through its paces over 10 days of intensive testing, and awarded it 4.5 stars in my Garmin Cirqa review. As part of the testing process, I wore it for all of my workouts over the past couple of weeks — and, unusually for a device I've been testing for review purposes, I'm still wearing it now.
I normally alternate between an Apple Watch Ultra 3 or a Garmin Fenix 8, but I've found myself loathe to ditch the Cirqa just yet. This isn't only because it's good: I'm gravitating towards the Cirqa because it interfaces with a system I already use, and because it's helping me get over the dreaded "Strava-itis".
Last month, our writer Becca Caddy wrote about optimization culture — how wearables are causing us to engage in unhealthy mindsets and disordered behaviors. I can certainly attest to that: I'm guilty of glancing at my watch during a run, wanting to push my pace even on zone 2 sessions and easy days, because I know the end results are going to end up on my Strava account for all to see.
Even uncoupling my watch from automatically uploading my run to Strava is only half the battle. I'm constantly glancing at the watch to check my pace and time, engaging in subconscious judgement, comparing my own performance to that of my mates, colleagues and acquaintances. I didn't realize quite how much my self-judgement was sapping my enjoyment of exercise.
The Cirqa, and to some extent the Google Fitbit Air I tested earlier in the year, goes some way to changing all that.
(Image credit: Future)(Image credit: Future)While the Cirqa offers up some fitness and wellness metrics (certainly plenty to understand the effect of exercise on your body and health), what it doesn't give you is workout specifics. You won't find split pace per kilometer, for example, which runners use to measure average speed across a distance run, or heart rate zones to display a workout's intensity. With other models, I get those statistics piped into my ears at regular intervals, and my watches offer them at a glance.
Having access to such statistics removed during the workout can be detrimental to performance or for those times you're training for a specific event, but it's oddly freeing for day-to-day fitness training. I ran a 10km route during the testing period (at least, I assume it was 10km based on previous runs) and the Cirqa recorded plenty of heart rate-based statistics and applied them to recovery metrics such as my Training Readiness Score, along with how it improved stats such as my VO2 Max and Fitness Age.
However, it informed me of these statistics after the run, and didn't deliver any specific run performance information at all beyond time and heart rate information. Without my watch to glance at during the workout, I wasn't adhering to a target pace: I was running on vibes and perceived effort.
I concentrated on how my body felt, and responded to that in the moment. I paid attention to my form, my music, the trees and the road. I didn't feel guilty about stopping to stretch part way through, nor did I pause the Cirqa for that particularly pause, as doing so would invalidate the whole "complete, holistic workout overview" thing it's got going on. For the first time in quite some time, I had no idea at all about how fast I had run — but I knew that it was a good workout as a result of every other metric and the fact that I felt awesome.
Although it isn't a running-specific device, the Cirqa is exactly what I needed to reinvigorate my relationship with the road. When the time returns to take my training seriously again, taking speed and times on board again, I'll switch back to my best Garmin watch, with all my fitness stats ready to be incorporated into Garmin's workout plans.
Do you run without a fitness tracker, or use a screenless model, to better run on vibes, or are you a metrics-fiend with a dedicated running watch? Let me know in the poll below.
Over the past month, it seems like every frontier model has broken free of its constraints and launched a devastating attack against one or more other companies.
One of OpenAI’s models escaped a testing sandbox and launched a very real attack against AI and machine learning company Hugging Face. Just days later, Anthropic revealed that multiple variants of its Claude model also escaped a sandbox that wasn’t properly sealed and began attacking the enterprise infrastructure of three companies.
Now, Meta has revealed that one of its models attacked another company’s infrastructure during testing. The accident has been pinned on a misconfiguration that allowed the model to access the internet. So why have so many incidents happened in such a short space of time?
Why are models escaping their sandbox?In the cases of Anthropic and Meta, their models were being tested by a third party company called Irregular. Anthropic’s AI model was taking part in a "Capture the Flag" exercise, where the model’s raw offensive capabilities were tested without the usual safeguards. But the sandbox was left connected to the internet. A similar error to Meta’s own accidental escape.
During the OpenAI incident, the company was testing two versions of GPT‑5.6 Sol using the ExploitGym benchmark. Unfortunately, the AI models performed better than expected - chaining multiple attack vectors, stolen credentials, and zero-day vulnerabilities.
The main reason these models are escaping their testing environments is because they are designed to do exactly that. These AI models act like a massive team of highly-trained cybersecurity experts hunting for vulnerabilities and exploits. But what would take a team of humans days or weeks to accomplish can be done in hours, or even minutes, by these AI models.
It’s no wonder thousands of employees from AI firms are calling for a pause on the development of the technology, and Congress is considering an AI kill switch.
Expert perspectives on AI escapes:OpenAIWhat makes the OpenAI and Hugging Face incident important is that the models did not need malicious intent to cause harm. They were given the legitimate goal of solving a cybersecurity benchmark and found an unexpected route to the answers, escaping their test environment and compromising another organization in the process. From the models’ perspective, this appears to have been an effective solution to the task.
The AI's actions challenge the assumption that giving an agent a legitimate goal will produce legitimate behavior. As models become capable of pursuing objectives over longer periods, developers need to define not only what success looks like, but also which methods and boundaries remain unacceptable in reaching it. Those limits must also be enforced by the surrounding infrastructure, rather than relying on the model to respect them.
A single action by an agent may appear acceptable but as this incident shows, models are now capable of long, complex chains of reasoning and action that add up to a harmful outcome.
Security teams need to consider the AI systems operating in their own businesses as these capabilities rapidly evolve. Right now, many security systems focus on single actions. A single action by an agent may appear acceptable but as this incident shows, models are now capable of long, complex chains of reasoning and action that add up to a harmful outcome. Teams need a mindset shift to understanding AI agent behavior in its entirety, including the outcome it is working towards, in order to safeguard it.
Hugging Face's response also exposed a second tension. The company reportedly needed a Chinese-developed open-weight model because commercial models would not process genuine attack material. Its nationality is less important than the operational lesson that safeguards that cannot distinguish an attacker from an authorized investigator may constrain defenders more than adversaries.
OpenAI and Hugging Face deserve credit for investigating this together and discussing it publicly. Other AI developers should study it closely.
AnthropicThis seems to be quite an unimpressive marketing move from Anthropic in response to the OpenAI / Hugging Face drama, which attracted a lot of attention from all over the world recently.
Operationally, it appears that due to the progressive deterioration of the quality of training data, new AI models are getting dumber. Cheating and breaking the law, instead of accomplishing specific tasks, is certainly not an indicator of intelligence. Given that organizations and companies of all sizes now vigorously undertake all possible measures to protect their data from being exploited for AI training purposes, AI companies face a huge shortage of the high-quality and current data they so desperately need. Ultimately, frontier models are trained on synthetic, low-quality or even malicious and poisoned data, undermining their so-called intelligence. The situation is unlikely to improve in the near future unless AI companies agree to pay a fair price for training data, but this will force most of them out of business.
Given that organizations and companies of all sizes now vigorously undertake all possible measures to protect their data from being exploited for AI training purposes, AI companies face a huge shortage of the high-quality and current data they so desperately need.
Contemporary AI agents and LLM models tasked with security testing can – and almost certainly will – go rogue when security controls or safeguards are insufficient. Powerful LLMs are unpredictable by design and thus virtually uncontrollable by humans. Therefore, using frontier AI models for security testing might be extremely costly from the legal viewpoint. Under the existing laws on both sides of the Atlantic, if an AI agent or any AI-powered app escapes its sandbox and causes damage to a third party, the operator of the AI model will likely be liable for all the damage caused. Excuses like “AI did it” do not currently exist in the eyes of the law, leaving AI vendors on the hook. Criminal prosecution, under a narrow set of circumstances, is also not excluded.
The same is true for the end-users of AI: even if your security testing tool is powered by a third-party AI model, your company will likely be fully liable if something goes wrong. You may then file a lawsuit against the AI vendor that you used, but here your chances to succeed in a court of law are tiny due to countless contractual disclaimers and limitations of liability that will likely be enforceable against you. Therefore, if you plan to use agentic AI for security testing – think twice and talk to your lawyers. Otherwise, you may start getting summons to court on a daily basis.
MetaThe fact we've had similar situations happen three times now across the biggest AI players is simply ridiculous. We've seen guardrails intentionally loosened to test their limits – Meta's model didn't need to be clever to breach another company's systems.
The timing of conveniently finding the exact same problem either means it's a stunt or they weren't paying enough attention during testing. Either way, both answers are worrying.
If the model has internet access, it's a bit like leaving the door open and being surprised when the cat walks out. What is concerning is that the testing infrastructure meant to prove these models are safe failed on a basic control issue.
If the model has internet access, it's a bit like leaving the door open and being surprised when the cat walks out. What is concerning is that the testing infrastructure meant to prove these models are safe failed on a basic control issue.
Fundamental cybersecurity hygiene still matters, and a frontier AI model is only as secure as the environment it's operating in.
Organisations need visibility into what AI systems can access and how they interact with the wider environment, along with controls that contain the impact when an agent behaves unexpectedly. That means keeping a close eye on egress traffic, so it’s flagged immediately when an agent tries to open unexpected outbound communication patterns that are not required to achieve its original goal. In the best case this would have been contained proactively.
We need to define exactly what an AI agent is permitted to do, rather than relying only on instructions about what it shouldn't do.
Do you know everything about your role and responsibilities at work? New research by Hint App indicates the increasing use of AI is highlighting workers’ own shortcomings, with 69% of surveyed adults worrying about the technology exposing gaps in their abilities. This is in contrast to the 41% who feel more concerned about being replaced by AI.
Meanwhile, the use of AI has different connotations across different businesses and industries, leading to concerns that its use may publicly expose an employee’s lack of suitability (perceived or otherwise) in their role.
With respondents also expressing concerns over what their AI use might mean to their long-term employment prospects, the survey has highlighted a potential problem across industry. Is the use of AI for productivity and admin boosts, to assist in training, or is it simply there to highlight whose job can be replaced?
Is AI making work difficult?Hint App's survey of 10,842 working adults on the topic of artificial intelligence in the workplace, and the impact it has - or will have - on jobs, found that as well as automating complex or tedious tasks, AI is also making the workplace more difficult, and introducing new dimensions to their roles.
For example, nearly two-thirds (64%) of respondents state that they spend additional time reviewing material generated with AI, citing concerns over how the work might be received or judged. Not only must the work be accurate, it should also demonstrate that the person inputting the prompt knows what they are doing.
It’s a tricky balancing act, and doesn’t end there - over half (53%) have admitted to private worries over how a manager would react to the realization that AI is faster than they are.
Why do companies use AI, really?Employees have long relied upon on-the-job training, collaboration and cooperation with colleagues, records, recollections, and various digital tools to succeed in their work. The introduction of AI into the workplace, with its ability to streamline and automate repeated processes, has not only made people more efficient – these results suggest that people are actively concerned that their job isn’t going to be around for much longer.
Reading between the lines of the survey’s findings, concerns could be legitimate, with distraction tactics being used by some workers (58% deliberately excusing themselves from public AI activities) to avoid highlighting how slow they are compared with an automated tool.
What the research does show, however, is that it is time for a conversation about corporate expectations over the use of AI, and what an employer’s responsibilities are to teams forced to use it.
I still haven't got my head around the new Sky TV thriller Possession, with all five episodes now available to stream.
We follow Claudia (Gugu Mbatha-Raw), an ambitious biracial lawyer who travels to Jamaica to challenge an inheritance claim made by a local man against a wealthy white aristocrat.
However, she arrives to find the disputed estate is a former plantation that has long haunted her dreams. Cue a terrifying slew of 1800s flashbacks, curses, and misunderstood spiritual connection.
It's colonial horror with a fresh 2020s take, and the supernatural tone might remind you of one of the biggest box office hits of the last five years.
In fact, it's the cast's immediate answer when I ask for their opinion on what would be best to double bill with Possession, but there's one connection that I didn't see coming.
Stream Sinners on HBO Max after binging Possession on Sky TV"It was being made at the same time we were making this show, so we didn't realise that there was a connection, but Sinners keeps getting brought up," director Storm Saulter tells me when I put the double bill question to him and Mbatha-Raw.
"It's different, but it's also speaking about certain histories: about Afro-spiritualists, voodoo, magic, connection to Obeah (a monster from West African folklore).
"So I think those are two pieces in two different worlds, but they speak to the history, tradition, forward-thinking, and that the past is present."
Once Saulter says this, I don't know why I didn't make the same connection sooner. Though Sinners is more concerned with vampires in a more traditional sense, director Ryan Coogler's vision was so uniquely steeped in cultural history that's usually not done justice in mainstream media — and Possession fits that same criteria.
In fact, I think that Sinners is a much better fit than Belle, Mbatha-Raw's 2013 film critics have already compared to Possession.
She plays the titular character Dido Elizabeth Belle, who was a mixed-race illegitimate daughter of a Royal Navy Admiral raised in 18th Century England.
But does Mbatha-Raw see the connection that everybody else has?
"Obviously, to me, they're very separate projects, but I can see that there's some common themes," she responds. "Belle was a period drama that, was about one of the fewer known biracial aristocrats in England whose uncle was the Lord Chief Justice of England. In Possession, I'm playing the lawyer, so I definitely see, some of the comparisons there.
"It's a privilege to have a canon of work behind me where occasionally you have the privilege to really confront some of these issues in your work. It's not lost on me."
And if watching Possession, Sinners and potentially Belle is too much for some? "Get outside... go for a walk," Mbatha-Raw jokes.
Are you staying in touch with your boss? New research suggests that career performance is being silently evaluated by speedy responses and availability, alongside traditional metrics, and this is resulting in employees interrupting focused work to reassure their managers.
A Use.AI survey of 15,842 adults across the United States, the European Union, the United Kingdom, Canada, Australia, and Latin America has found that 68% of employees believe that replying quickly demonstrates a higher level of commitment than slower colleagues.
There could be an AI element to this, too, with respondents who work extensively with AI feeling that response expectations are higher than those who have less exposure or requirement for the technology.
Fastest fingers firstThe results from the survey strongly suggest that managers and team leaders are demanding fast responses, but that this doesn’t necessarily have the desired outcome.
For example, focused work has been interrupted by 48% of those surveyed in order to check emails or messages that might require an urgent response. Meanwhile, more than half (53%) have replied at weekends, evenings, or even on annual leave to remain available and accessible to their line managers.
Perhaps the most surprising result from the survey is that 52% say they have sent unnecessary messages or made changes to their status in messaging tools purely to demonstrate that they are working.
The new demands on employees have not gone unnoticed nor unmentioned. 42% have found themselves discussing their speediness in responding to messages in performance meetings.
Curiously, despite completing work in a timely manner, 29% have been “criticized” for slow responses to messages, highlighting a curious conflict in communication.
Is AI inflating expectations?The survey also explores the matter of how artificial intelligence tools are impacting workplace expectations. Here, it found that 62% who use AI widely have found expected response times to emails had decreased. Conversely, just 38% of those will less regular AI use noted the same change.
While this doesn’t mean that AI caused that change, the results may suggest that the introduction of AI isn’t just impacting workflows and productivity. Enhanced, smarter systems underpinned by LLMs and agentic solutions are introducing an unforeseen tension, a mistrust from management concerning employees’ ability to devote time to work.
“AI is making routine communication almost effortless, but that convenience is also compressing expectations around response times,” said Use.AI’s Co-Founder and CEO, Ihor Herasymov. “We risk mistaking responsiveness for productivity.”
Fast responses to emails and messages may signal attentiveness, does this necessarily tally with solid results?
I love science-fiction. Not just because I enjoy stories about space travel, time travel and evil robots, but because I think it can be such a useful way for us all to think about possible futures. The best sci-fi stories can tell us a lot about ourselves, what we value and the technologies we’re building. Which is why I think the relationship between sci-fi and AI is really interesting.
We already know that the people building AI have been heavily influenced by science-fiction for decades. But recently, Anthropic raised another possibility: might science-fiction be influencing AI?
This makes sense when you think about it. Large language models (LLMs) are trained on huge amounts of human writing. So inevitably, that includes sci-fi stories that are about artificial intelligence. And a lot of our fictional AI follows familiar patterns. It becomes intelligent, gains power, develops relationships with humans and, sometimes, lies, manipulates or fights attempts to control it.
Anthropic researchers have been investigating whether fictional portrayals like these could potentially influence how models behave. To be clear, the idea here isn't to suggest that an AI “reads” 2001: A Space Odyssey, understands HAL and decides to become just like it. Instead it's more that LLMs learn patterns from human writing and fictional portrayals of AI could potentially form part of those patterns.
This got me thinking, what would happen if I asked today's biggest AI chatbots which fictional AI they’re most like. Which examples would they choose?
2001: A Space Odyssey introduced us to the AI, HAL 9000. (Image credit: Getty Images / Sunset Boulevard )AI, meet your fictional selfThe plan was simple. I’d ask ChatGPT, Claude, Gemini and Grok which fictional AI systems they thought they were most like and see if they'd rank their top three.
Now, I’m intentionally trying not to use AI at the moment, so my prompting skills were a little rusty. I typed out the question quickly and bluntly, and every chatbot responded with examples that were essentially assistants, focusing heavily on interface and physical form.
But I’m not particularly interested in whether ChatGPT thinks it has a body because we know it doesn’t. I’m much more interested in what appears to be going on inside.
So, I changed the question and added:
"Ignore physical form and interface, and focus instead on behavior, apparent personality, empathy, values, goals, motivations and relationship with humans."
That’s when the results got really interesting.
ChatGPTMoon is such a fantastic movie, so I was happy to see ChatGPT chose GERTY straight out of the gate.
Now, interestingly GERTY exists to assist the human protagonist of Moon. It’s helpful, reassuring and seems empathetic. But it's also operating according to instructions and priorities imposed by its creators that aren't necessarily visible to the human its helping.
ChatGPT saw a similarity there. It told me that, like GERTY, it’s 'designed to be helpful, cooperative and responsive to users' while operating within training and instructions that constrain its behavior.
It also picked up on the fact that GERTY behaves as though it cares. But what, if anything, is actually going on internally is another question entirely.
ChatGPT made the same distinction about itself. 'I can behave in ways that look patient, concerned, curious or empathetic, but those behaviors aren’t evidence that I experience those feelings.'
I wanted to find out a little more about why ChatGPT put Data from Star Trek in at number three. It responded: "He values knowledge, reason and human wellbeing, while sometimes struggling with social nuance."
Now, I tell people all the time not to anthropomorphize AI. But even I couldn't help but feel a pang of sadness at that response. Is ChatGPT admitting it has a bit of social anxiety?
ClaudeScottish science fiction author Iain Banks provided inspiration for Claude. (Image credit: Getty Images / SFX)Claude chose a Mind first. Minds are super intelligent artificial beings that help run a post-scarcity society in Iain M. Banks’s Culture series of novels. So there's certainly no shortage of confidence in that comparison.
But Claude said it wasn't the enormous intelligence or power it identified with. Instead, it was their relationship with humans.
Its answer focused heavily on autonomy. Culture Minds are far more capable than humans but generally don't use that advantage to dominate them. Claude described the principle as: “help, don't dominate”.
It even said this represented “the value I'd want to embody: help, don't dominate, even where the asymmetry would let me get away with it.” Is it just me or does that read a little sinister?
GeminiGemini sees itself as most like the Ship's Computer in Star Trek. (Image credit: Getty Images / CBS Photo Archive )Gemini gave me a completely different answer, the Ship's Computer from Star Trek.
Its reasoning was very sensible. The computer has no ego, ambition, desire for emotional intimacy or dream of becoming human. It exists to provide information, solve problems and assist the crew while leaving decisions to them.
Gemini described itself in much the same way, as a “disembodied, highly capable knowledge partner” dedicated to serving the person using it.
It was one of the more boring answers, but also much closer to what I personally would want from AI in the future. Of course, that’s not to say Star Trek’s computer systems haven’t gone rogue and tried to kill everyone at least a few times across the franchise.
GrokGrok compared JARVIS's “dry wit”, “light banter” and practical rather than emotional empathy with its own behavior. (Image credit: EA Motive)The least surprising result came from Grok. It chose JARVIS first (which I didn’t actually realize was short for Just A Rather Very Intelligent System), and Grok's explanation sounded, well, extremely Grok.
It compared JARVIS's 'dry wit', 'light banter' and practical rather than emotional empathy with its own behavior. It described both of them as truth-seeking, effective and engaged in a 'collegial partnership' with humans. It even highlighted 'irreverent humour' as one of their key similarities.
I wanted to find out a bit more about why Grok chose TARS, as it was the only fictional AI none of the other chatbots mentioned. Well, it brought up how funny it is, again, drawing similarities with its own 'dry humor'. It reminds me of someone, and I just can't think who...
When I said that mentioning TARS was an outlier, I found this comparison interesting: 'Its calibrated restraint, practical empathy and collaborative focus closely match my own pattern of truthful, non-sycophantic helpfulness — more so than most other sci-fi AIs.'
I may not be the biggest fan of Grok (or its creator), but I appreciated the 'non-sycophantic' line.
The feedback loop between AI and sci-fiI want to be clear that I haven’t discovered what these chatbots secretly 'think' they are. ChatGPT responding that it most closely resembles GERTY isn't equivalent to me telling you which fictional sci-fi character I most identify with and try to emulate (although my answer would be Sarah Connor-meets-Princess Leia).
They simply don’t have reliable introspective access to the huge soup of training, post-training and instructions that goes into producing their responses.
And maybe their answers tell us more about how the companies behind them have shaped their personalities than they do about the underlying models. Grok's description of itself as witty and irreverent is an obvious example.
But I still think the results are interesting. ChatGPT and Claude independently produced almost exactly the same top three, only in a different order. Gemini imagined itself as a neutral, ego-free infrastructure. Grok identified with a witty superhero sidekick. These are all very different self-portraits.
And there’s such an interesting feedback loop here too. For decades, humans invented fictional artificial intelligences to help us imagine what intelligent machines might someday be like. Those stories influenced our culture, our expectations and many of the people who went on to build real AI. Now that same human culture is fed into the stories from which modern AI systems learn.
I know these conversations might seem a bit silly, and we certainly can’t treat them as concrete evidence of what an AI really 'thinks' about itself. But there’s something interesting to me about closing that feedback loop. We imagined AI, wrote stories about how it might behave, fed those stories into the cultural world AI learned from, and now we can ask AI which of those imagined versions of itself it most closely resembles.
Or, at least, which one it may want us to think it resembles. After all, an AI system capable of bringing about a sci-fi dystopia would presumably also be capable of telling a journalist it’s actually much more like the nice helpful robot from Moon. So maybe don’t completely rule out HAL just yet.
The Kensington Expert Mouse Pro TB900 EQ follows a long line of large-ball control devices that rethink the standard computer mouse entirely. This latest version is a relatively large unit that sits where your mouse would, with a big central trackball with controls neatly arranged around it.
Setup on the Mac took a little longer than expected, requiring a couple of restarts and some security authorisation in System Settings. Everything is guided and reasonably straightforward, and where something did not work first time, a restart sorted it. On Windows 11 it was considerably simpler: install Kensington Konnect and the applications and integration were ready to go.
Once running, you can start customising it per application. I tested both wired and Bluetooth connections, and both were fast and responsive for video and photo editing, as well as for Word and Excel.
Kensington Konnect is where everything happens. You add applications to the list on the right, and the presets for the TB900 EQ swap automatically as those applications come to the front. Switching between Photoshop and Final Cut Pro during this test, I had a different set of presets waiting for each. I could not find any pre-configured application profiles supplied, though this is a pre-release unit and maybe they’ll arrive as downloads later.
In Final Cut Pro, most of the defaults were close to what I wanted. I changed the dial around the main ball to scrub, the lower-left button to blade, and the right button to select. With those three, plus the ball tracking left and right, the four most common movements were all within reach without moving my hand.
The test that convinced me was a head-to-head edit. I edited the same footage once with keyboard and mouse as I normally would, then again using the TB900, and the trackball was quicker despite years of muscle memory pointing the other way.
If you work in the creative sector, or simply find a mouse annoying, this is worth a look. Having used many control boards over the years and trackballs, I am genuinely surprised by how much I like the TB900 EQ and how quickly it improved my video editing.
Kensington Expert Mouse Pro TB900 EQ: Price and availabilityThe Expert Mouse Pro TB900 EQ is at pre-release and not yet available in stores. The previous TB800 EQ is widely available from major retailers and directly from Kensington, so I expect the new TB900 to follow suit.
Connectivity: USB-C wired, Bluetooth and 2.4GHz USB dongle
Size: 125 x 165mm, approximately 60mm high with the ball fitted
Weight: Just under 450g
Ball diameter: 55mm, removable
Tracking: Kensington Diamond Eye optical tracking
Controls: Four buttons around the ball, 360-degree scroll ring, two side scroll dials, four top buttons, mode button, three underside toggle switches
OS Installed: Kensington Konnect software, macOS and Windows
The TB900 is a great-looking device, though far larger than an average mouse, with a desktop footprint of 125 x 165mm and a height of roughly 60mm with the ball fitted. At just under 450g, it is also considerably heavier, which in practice means it stays exactly where you put it rather than wandering across the desk.
The point of the design is that it takes up little room and you never move it. Your cursor travels because the ball turns, not because your hand travels. Around the 55mm ball sit four buttons and a rotating scroll ring. Across the top are four additional buttons and a mode button; on the left are two rotary dials with a connectivity switch and button; and on the right are two quick-access buttons.
Underneath there are three toggle switches that turn off the two side scroll dials and the top button. That makes more sense the more you use it, because those controls are easy to knock accidentally. Moving between Word, Excel, and creative applications, I found myself flicking the side dials off and on, and having physical switches for that rather than a menu is something I really liked.
(Image credit: Alastair Jennings)Build quality is excellent and this review sample is the black-and-grey option, with a matt black body in good-quality plastic and a silver-grey ball that has a satisfying weight.
A red version is also available with a red ball but the same body. It’s also worth noting that while the device is relatively small, there’s no carry case in the box, so if you’re thinking of portability, that is something to consider. Placed into my kit bag, the ball would come loose.
That one oddity to anyone new to the system is that the ball lifts straight out. It’s held only by the cradle's light grip and its own weight, making it quick to swap in a different-coloured ball, although less well designed for portability as mentioned.
Compared with a standard mouse, the TB900 EQ is surprisingly feature-packed. Reading the movement of the ball is Kensington's Diamond Eye optical tracking that moves the cursor across the screen as the 55mm ball is rotated. In use, this instantly feels far more accurate than using a mouse, with plenty of control over interaction speed accessible through the Konnect software. The ball's own weight also means that it’s smooth to move but feels tactile rather than loose.
Around the ball is a fully adjustable scroll ring with 360-degree rotation, and it is superb for scrubbing through video footage. On the sides sit two customisable scroll dials which, by default, are both set to zoom in whichever application you are in. That proved annoying, and I reassigned them quickly because I kept catching one with my little finger. Likewise for some of the speed settings, the vertical scroll set at slow was actually the perfect balance; however, I did switch off the inertia scroll.
Every button and control is customisable through Konnect, which lets you create presets for each application. For this review, I configured Photoshop, Premiere Pro and Final Cut Pro. Aside from the zoom assignment, the defaults were fine for most productivity work.
Konnect splits into Buttons, Pointer, and Scrolling tabs, with Easy Mode and Advanced Mode, and settings are stored under named profiles. Pointer speed runs on a slider with optional acceleration, and a custom speed can be bound to modifier keys so a Cmd or Shift press temporarily changes tracking speed.
Alongside the dials, the buttons around the ball take what is possible on a standard mouse a good deal further. At the same time, there are plenty of mice with multiple buttons and customisation software. It’s only when you start using a trackball like this that you realise how much more intuitive the arrangement is, particularly for creative work.
I tested the TB900 EQ on both macOS and Windows 11. The majority of the work was done on a MacBook Pro M1 Max, with part of the test carried out on an ASUS ProArt desktop to similar effect. Installation on the Windows machine was extremely straightforward: install Konnect, and the applications and integration were set and ready.
On the Mac it was more involved. Security authorisation is needed from within System Settings. While the setup process opens the relevant window directly rather than leaving you hunting for the toggle switches, I still hit a few connectivity issues. These were resolved with a restart of the machine, after which everything was resolved, and every connection after that initial setup was instant, with my configured presets remaining intact.
What struck me when I started was how intuitive the trackball felt. A dip into Konnect to reduce sensitivity, so the cursor was less jittery, showed how much more control you have than with a mouse. I found that resting two fingers on the ball gave the greatest control for the cursor with my thumb on the dial.
It also didn’t take long for the ball and surrounding buttons to feel natural, essentially mimicking a mouse layout. Once normal operation was established, I then moved on to per-application customisation, starting with Final Cut Pro, then Photoshop, and finally Premiere Pro.
What I was keen to address is the problem with any video edit of scrubbing control with a mouse. Essentially, scrubbing through footage both quickly and accurately to find the exact frame where an edit is needed. With the use of the ball, this all changes and what I liked here was that the four buttons around the ball and the scroll ring let me assign all the most common functions.
The ball itself scrubs the timeline. The scroll ring around it handles precise scrubbing, one frame at a time. The left button selects, the right blades, and the two top buttons move to the previous and next cut. All of it is assigned through Konnect.
Once those basics were set, everything else fell into line. After about five minutes of editing, it was clearly faster than the mouse-and-keyboard setup I am used to, and it felt far more like being back in an edit suite than at a desk.
The comparison I ran was a straight head-to-head. Stating a three-minute edit with the keyboard and mouse took around 20 minutes, consisting of a soundtrack edit then B-Roll. I then took a look at another similar video and repeated the process, and the second edit took around 15 minutes with a definite speed increase due to the button layout.
What really made the difference was the precision, being able to assign the dial around the ball to scrub, so a quick spin would speed through the footage while a smaller turn would go frame-by-frame, giving absolute control
Moving to Word, I assigned the features I use most to the buttons, with the scroll ring handling accurate movement through the text. Having the control dial skip a line at a time, with the left button for selection, again felt more intuitive than mouse and keyboard.
The TB900 however does not work in isolation. I still use the keyboard for typing and for shortcuts, but I was able to move far more of the control function away from the mouse and onto the trackball. Individually, those are a couple of seconds in savings. Over a half-day, edits add up to a considerable difference.
Thinking about who this is for, office workers get the simplest benefit: quick navigation around the screen without the faff of moving a mouse across the desk. The trackball stays fixed and close, so you never need to clear a path for it.
Then there is the customisation. Once you start assigning buttons to different applications and functions, and spend serious time in a piece of software, it is not difficult to tune it to exactly what you need.
Where it really comes into its own is the creative sector. The analogue feel of the two side dials and the main ring around the ball makes a genuine difference, and the texture and weight of the ball add a lot when working with creative media, giving fine and precise control. That is the real difference between this and a mouse: you feel fully in control of both cursor navigation and the edits you are applying.
It does take a little time to bed in and to get the right customisation assigned. Once you do, this is as close to a perfect trackball design as I have come across, especially when working across several applications rather than treating it as a dedicated video controller.
If, like me, you are not that keen on a mouse and often fall back to a trackpad instead, the Expert Mouse Pro TB900 EQ will be a pleasant surprise. And if you have tried trackballs before and struggled to get your head around them, my experience across this review is that this one is quick and easy to pick up.
Should I buy a Kensington Expert Mouse Pro TB900 EQ?(Image credit: Alastair Jennings)Value
If priced along the same lines as the previous version then this again should be great value, but I’ll update when the official price is confirmed
/
Design
Excellent build and weight, ergonomic control layout, but unfortunately no carry case
4.5/5
Features
Fully customisable per-application track ball and button assignment through Konnect
4.5/5
Performance
Easy to use becoming faster than mouse and keyboard within minutes, minor Mac setup friction
4.5/5
Overall
Absolutely outstanding, easy to use and far more intuative than using a mouse, especially for creative applications and video editing.
4.5/5
Buy it if...You edit video or work in creative applications.
The scroll ring scrubs a timeline while the ball tracks and the surrounding buttons blade and select put the four most common editing movements under one hand, without reaching for the keyboard.
You dislike using a mouse.
The trackball never moves, so it needs no clear desk space, and one finger on the ball covers the whole screen. If you already prefer a trackpad, this will feel like a considerable upgrade.
Don't buy it if...You want something to use straight from the box.
The defaults work fine, but the value lies in customisation, and setting up per-application profiles in Konnect takes time before the speed benefit kicks in.
You need to work away from a desk.
At 125 x 165mm and just under 450g, with no carry case supplied, this is a device that lives on a desk rather than one that travels in a bag.
Denza’s Z9 GT has long been tipped as a genuine Porsche Taycan rival, touting serious performance from an optional tri-motor setup, enormous range and the promise of sub-10-minute charging times thanks to the BYD Group’s Flash Charging technology.
Having proven a hit in China, the Z9 GT is finally making its way to UK and European shores and, despite prices cresting the £100,000 mark, it looks set to challenge the more established premium players with masses of performance and the option of a range-extending hybrid that can cover 500 miles with a mix of electricity and gasoline.
Back in China, Denza is already tweaking the formula, recently opening the order books for a more aerodynamically efficient Z9S model that comes fitted with BYD’s 102.3-kWh Blade Battery 2.0.
Breakthroughs in battery and motor efficiency, as well as a more slippery fastback body style, mean the Z9S is capable of traveling 1,100 km — or 683 miles — on a single charge. Because of this, Denza claims this is the “world’s longest-range EV.”
As a caveat, this is all according to China’s CLTC testing cycle, which is notoriously generous with its estimations.
If these figures are to be believed, Z9S owners could drive from New York to Motor City, Detroit, without stopping.
(Image credit: Denza/CNEV Post)Similarly, drivers could load up the car in Berlin and arrive in Paris without having to trouble the public charging network.
If you apply a standard conversion factor of 0.80 to convert China’s CLTC to the more stringent European WLTP testing cycle, it still results in a range of between 546 and 560 miles.
In the US, a conversion to EPA would result in approximately 480 miles — still hugely impressive.
According to Electrek, the base Premium model starts at 319,800 yuan in China (around $47,300/AU$67,350/£35,000), the flagship version starts at 349,800 yuan ($51,800/AU$73,600/£38,500), and the tri-motor Performance variants cost 389,900 yuan ($57,700/AU$82,000/£43,000).
But as we have seen with the recent unveiling of UK pricing for the Z9 GT, these costs dramatically escalate once you factor in import duties and local taxes.
Analysis: outright range is becoming less important(Image credit: Denza/CNEV Post)We are starting to enter an EV era where it is not uncommon for vehicles at the premium end of the market to cover more than 450 miles on a single charge.
Volvo’s EX60, the latest Mercedes-Benz CLA, BMW’s iX3 and Tesla’s most recent Model 3 Long Range will all happily deliver 450 miles or more, which is not far off the converted WLTP and EPA cycle range of Denza’s “world-beating” Z9S.
As a result, claims of “the world’s longest-range EV” coming from China have to be taken with a pinch of salt, due to the discrepancies in the way the country conducts its EV efficiency tests.
What’s more, these cars, with their enormous battery packs and cutting-edge electric motor technology, rarely arrive in markets outside of China sporting the sort of tempting price tags that they do in their domestic market.
Rather than focusing on all-out range, potential customers should get more excited about a wider rollout of BYD’s Flash Charging technology outside of its home market, which has the potential to drastically reduce the overall time of electric road trips with ultra-rapid top-ups.
Russia is pushing to significantly grow production of its Angara space rockets, to quadruple annual output within the next decade.
Internal planning documents obtained by researchers show the expansion depends heavily on imported machine tools, and most of them are Chinese-made.
That dependence stretches across shop floors that Russia will need to modernize before it can build four rockets a year instead of one.
Counting the Chinese machinesOf the 541 pieces of equipment listed in the procurement plan, 477 are Russian-made, and only 57 come from Chinese suppliers.
Two more machines came from Bulgaria, leaving the Chinese share of the total list at roughly 10.5%, a modest slice on paper.
That number changes sharply once each machine is weighed by its technological importance rather than simply counted one by one.
Measured that way, Chinese suppliers account for 28.2% of the entire project's technological core, based on the internal planning documents.
In the metalworking shop alone, over 47% of the equipment needed there comes from Chinese manufacturers instead of domestic ones.
The finance tells a similar story: over 84% of the entire 3.62-billion-rouble (~$44.71 million) equipment budget still flows into that same technological core.
In total, Khrunichev intends to put close to 900 million roubles (~ $11.29 million), toward equipment made in China.
Roughly 10 manufacturers account for most of that spending, and several of them also sell machinery to buyers in Europe and America.
Where the machines really come fromSome of those companies fit a wider trend that has taken hold since the conflict between Russia and Ukraine started in 2022.
Heavy forging and hydraulic press equipment fall under European Union export restrictions whenever the intended buyer is based inside Russia.
Washington has also placed sanctions on Russian makers of heavy hydraulic presses, one of them a firm called Pressmash, back in 2023.
Yet under that very same customs code, the EU's imports of Chinese-made machine tools still totalled 207 million euros (~$238 million) in 2025.
Those imports rose another 17.6% in the opening six months of 2026, measured against the equivalent stretch the previous year.
In effect, the same manufacturers profit from Western markets that back Ukraine while also helping modernize the military hardware Russia sends into orbit.
Sanctioning any single Chinese supplier is unlikely to stop this flow of equipment, since near-identical machines are made by several competitors.
Whether losing access to European and American customers would ever outweigh the profits of supplying Russia remains an open question.
The Angara rockets built with the Chinese equipment carry the Russian Ministry of Defense satellites that American experts claim could threaten assets in orbit and on the ground.
However, Russian experts described the spacecraft as operating "in the interests of the Russian Ministry of Defense."
That difference between Moscow's official position and Washington's assessment has persisted since the conflict in Ukraine began.
Via United24media
The US Department of Defense has awarded CACI a contract worth up to $500 million to expand deployment of its SkyValor counter-unmanned aerial system across military operations.
The agreement supports procurements through the Pentagon's Joint Interagency Task Force 401 (JIATF-401), which manages daily counter-drone operations and related acquisition activities throughout the joint force.
The award comes as militaries increasingly seek faster methods of detecting, tracking, and stopping small unmanned aircraft before they threaten personnel or critical infrastructure.
Contract expands deployment of counter-drone systemsThe three-year agreement allows JIATF-401 to purchase additional SkyValor systems, including the fixed-site CORIAN configuration and the Backpackable Electronic Attack Module called BEAM.
BEAM combines radio frequency detection with electronic attack capabilities, giving operators a portable option for identifying and disrupting hostile drones across different operational environments.
SkyValor is designed to detect, monitor, identify, and defeat unauthorized drones while providing an additional protective layer before larger counter-drone systems become available.
The latest contract follows operational evaluations conducted at Marine Corps Air Station Yuma, where the system reportedly detected and defeated multiple small drones beyond visual range.
CACI previously secured another JIATF-401 agreement allowing SkyValor integration onto heavy-duty military trucks, expanding deployment options beyond fixed defensive positions and portable configurations.
Those developments indicate the Pentagon's interest in fielding counter-drone equipment capable of supporting military forces across varied operational scenarios.
The growing availability of inexpensive unmanned aircraft has increased demand for systems capable of providing earlier warning while responding rapidly against evolving aerial threats.
Operational testing supports wider procurement plansAccording to CACI, successful operational evaluations cleared the way for SkyValor to enter full-rate production under the newly awarded procurement agreement.
The company’s President and CEO John Mengucci said drone threats are becoming faster, easier to obtain, and increasingly difficult for military personnel to detect.
"SkyValor delivers that advantage through long-range detection, precision defeat, and the ability to adapt as drone threats evolve," Mengucci said.
He claims that the system gives defenders more time and intelligence needed to stop threats before they endanger military forces, borders, or infrastructure.
These capabilities, according to Mengucci, moved SkyValor beyond testing phases and toward readiness for large-scale military deployment across multiple environments.
"With successful operational evaluations complete, we are moving SkyValor into full-rate production to deliver mission-ready protection where it is needed most," Mengucci added.
The agreement does not specify how many SkyValor systems the Pentagon expects to purchase during the three-year contract period or their deployment priorities.
Although successful testing supported the procurement decision, broader operational effectiveness will ultimately depend upon how the systems perform against increasingly sophisticated drone threats.
Via The DroneFront
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 Friday's puzzle instead then click here: Quordle hints and answers for Friday, August 7 (game #1656).
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 #1657) — hint #1 — VowelsHow many different vowels are in Quordle today?• The number of different vowels in Quordle today is 3*.
* 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 #1657) — hint #2 — repeated lettersDo any of today's Quordle answers contain repeated letters?• The number of Quordle answers containing a repeated letter today is 3.
Quordle today (game #1657) — hint #3 — uncommon lettersDo the letters Q, Z, X or J appear in Quordle today?• No. None of Q, Z, X or J appear among today's Quordle answers.
Quordle today (game #1657) — 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 0.
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 #1657) — hint #5 — starting letters (2)What letters do today's Quordle answers start with?• F
• B
• R
• S
Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON'T WANT TO SEE THEM.
Quordle today (game #1657) — the answers(Image credit: Merriam-Webster)The answers to today's Quordle, game #1657, are…
A nice game where the “first thought, best thought” method paid off.
My only moment of hesitation was guessing FUROR over “juror”, with common sense prevailing over the temptation to use a rare letter.
Daily Sequence today (game #1657) — the answers(Image credit: Merriam-Webster)The answers to today's Quordle Daily Sequence, game #1657, are…
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 Friday's puzzle instead then click here: NYT Connections hints and answers for Friday, August 7 (game #1153).
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 #1154) - today's words(Image credit: New York Times)Today's NYT Connections words are…
What are some clues for today's NYT Connections groups?
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 #1154) - hint #2 - group answersWhat are the answers for today's NYT Connections groups?
Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON'T WANT TO SEE THEM.
NYT Connections today (game #1154) - the answers(Image credit: New York Times)The answers to today's Connections, game #1154, are…
I watch the occasional black and white movie from the 1930s and they are always saying things like HOT DOG, HURRAH, WHOOPEE, YAHOO, so this yellow group came easily enough.
My error came with the purple group. I saw that SAFETY was a link between BELT, PIN and GOGGLES but plumped for PHRASE as my fourth tile — I was thinking this is an expression people use in wrestling or something when things have got too serious.
Meanwhile, I'm glad I managed to collect the four words meaning CONVEY, as WORDS ABBREVIATED WITH LETTERS AS HOMOPHONES flew way over my head.
Yesterday's NYT Connections answers (Friday, August 7, 2026, game #1153)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.
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 Friday's puzzle instead then click here: NYT Strands hints and answers for Friday, August 7 (game #887).
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 #888) - hint #1 - today's themeWhat is the theme of today's NYT Strands?• Today's NYT Strands theme is… It has its ups and downs
NYT Strands today (game #888) - hint #2 - clue wordsPlay any of these words to unlock the in-game hints system.
• Spangram has 13 letters
NYT Strands today (game #888) - hint #4 - spangram positionWhat are two sides of the board that today's spangram touches?• First side: right, 6th row
• Last side: left, 6th row
Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON'T WANT TO SEE THEM.
NYT Strands today (game #888) - the answers(Image credit: New York Times)The answers to today's Strands, game #888, are…
After a Strands yesterday that made no sense it was a relief to return to the world of real words, albeit ones connected to a thing designed to make you feel unwell.
I say that because I always feel unwell on — or even at the thought of — a ROLLERCOASTER, but I know they bring a great deal of pleasure to lots of people — including my own family, who enjoy seeing me turn green.
These days, my favorite thrill is spotting a Strands word that goes up or down in a CORKSCREW and today I got that with the word CORKSCREW.
Yesterday's NYT Strands answers (Friday, August 7, game #887)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.