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.
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NYT Strands today (game #935) – hint #1 – today’s theme
What is the theme of today’s NYT Strands?
• Today’s NYT Strands theme is… Just outside the door
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NYT Strands today (game #935) – hint #2 – clue words
Play any of these words to unlock the in-game hints system.
HOBO
WINK
WINGS
TRACK
FAME
TRAP
NYT Strands today (game #935) – hint #3 – spangram letters
How many letters are in today’s spangram?
• Spangram has 8 letters
NYT Strands today (game #935) – hint #4 – spangram position
What are two sides of the board that today’s spangram touches?
• First side: left, 5th row
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• Last side: right, 5th row
Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON’T WANT TO SEE THEM.
NYT Strands today (game #935) – the answers
(Image credit: New York Times)
The answers to today’s Strands, game #935, are…
SANDBOX
TREEHOUSE
SWINGS
POOL
TRAMPOLINE
FORT
SPANGRAM: BACKYARD
My rating: Easy
My score: Perfect
The first word I saw on the board was “tree”, but fortunately I wasn’t switched on enough to see the adjoining word “house” and put them together.
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I say ‘fortunately’, because in the absence of spotting a game word I did see the spangram and gave a little whoop of joy as the letters turned yellow.
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This was also quite a melancholy game for me, as it reminded me of all the clutter that used to fill up my BACKYARD that is no longer there — a sign that my kids have grown up and no longer need a SANDBOX or SWINGS or the safety nightmare that is a TRAMPOLINE.
Yesterday’s NYT Strands answers (Wednesday, September 23, game #934)
BYGONE
ARCHAIC
ANCIENT
PRIMEVAL
TIMEWORN
SPANGRAM: THATSOLDNEWS
What is NYT Strands?
Strands is the NYT’s not-so-new-any-more word game, following Wordle and Connections. It’s now a fully fledged member of the NYT’s games stable that has been running for a year and which can be played on the NYT Games site on desktop or mobile.
I’ve got a full guide to how to play NYT Strands, complete with tips for solving it, so check that out if you’re struggling to beat it each day.
If there’s one thing that Americans can unite behind, it’s anxieties over artificial intelligence.
According to a recent NBC News/Decision Desk poll, 70 percent of adults say they are personally more worried than excited about the technology; it’s basically underwater in every area of society with one notable exception: its use in scientific research and medicine.
According to Dr. Dhruv Khullar, a physician at Weill Cornell Medicine and writer at the New Yorker, that optimism is well-founded.
Khullar uses AI tools in his own practice as a physician and writes about their advancements in the medical field. He says that “right now, at least, there’s a generally optimistic view of how AI will change healthcare going forward.”
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AI in medicine is nothing new. In 2024, the Nobel Prize in Chemistry was given to researchers who developed an AI model that enabled breakthroughs in predicting protein’s complex structures. As it becomes more ubiquitous, it’s also emerging as a resource for doctors to get second opinions and as a tool to take notes on patient-doctor interactions.
On top of that, Khullar says, it might help unlock new medicines to treat diseases.
Khullar joined Today, Explained co-host Sean Rameswaram to discuss the ways that AI is transforming drug discovery and research, as well as what it still can’t do. They also discuss how to think about AI’s potential in healthcare at the same time as top AI researchers are increasingly warning about the technology’s risk.
Below is an excerpt of the conversation, edited for length and clarity. There’s much more in the full podcast, so listen to Today, Explained wherever you get podcasts, including Apple Podcasts, Pandora, and Spotify.
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You’ve been thinking about lifesaving AI innovation. Has AI already started saving lives?
I think it has. This is the fastest I’ve ever seen healthcare take up a new technology. Part of that might be that the healthcare system is so messed up that there’s an appetite for some type of change. It’s unaffordable, it’s inaccessible, it’s inconvenient, the quality is uneven.
There’s at least a hope that AI is going to help with all of these things, and I think it’s already starting to make its way into the healthcare system. Now it’s our responsibility to figure out how to make the most of it without also promulgating some of the downsides.
For those who are unaware, tell us how it’s working its way into the system.
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It’s helpful to categorize it into a few buckets, at least for healthcare.
The most rapid uptake, and I think the place that it’s already starting to make a difference, is on the administrative side. Many people who have gone to a doctor recently might have noticed that there’s an AI scribe that’s taking notes now. And people seem to really like it, at least so far. Doctors are able to look their patients in the eye in the way that they weren’t able to when they were poring over their computers and just typing what the patient was telling them.
The second big area is patient navigation. When is your next scan? When’s your next appointment? Do I need to take this medication on an empty stomach or not? There’s a huge opportunity for people, let’s say, who are diagnosed with a serious illness like cancer or heart failure to navigate the system more seamlessly.
The third big area that I’m really excited about is drug discovery. AI is making a huge dent in the early parts of drug discovery.
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The last thing that I’m excited about and that I use every day when I’m in the hospital is [AI] as a second opinion. Now instead of having to get a consult or turn to a textbook, AI can be a very, very helpful clinical decision support. It’s not to say that I never consult someone, of course, but that first pass — I’m not sure what’s going on. What are some recent trials that might influence my decision here? Is there something I’m missing? Is there a test that I should be ordering that I’m not ordering? — all those types of things, they start to help with.
The biggest chunk of this positive view of AI and medicine is drug discovery. Tell me more about how that’s going so far and how it might be going in a year, or five, or 10.
I don’t want to leave this conversation and say that we’ve solved the cure for cancer because of AI, but I do want people to know that at least for the early stages of drug discovery — figuring out the very basic steps of is this an interesting molecule? Does it have potential biological applications? — AI is already very helpful for that.
They’re trying to take, basically, what is an infinite number of drug-like molecules that are theoretically possible to be drugs and they’re trying to match that to some disease that’s going on inside a human. And human biology is incredibly complex as well. There’s tens of thousands of genes, hundreds of thousands of proteins, trillions of cells, and you have to match a potential molecule to a potential target within a human.
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In the past, a researcher might take years to study a disease or a biological pathway and figure out, okay, this protein seems to be involved. And actually, it might not be involved, it might be involved, it might be disrupted, but not be the causative agent. There’s a lot of uncertainty there, so now AI can take enormous amounts of data, and it can rank various potential targets that seem to be the most likely to be causing a particular disease and give you that short short list of potential targets that may have taken months or years in the past.
So now you know what to attack, but you have to figure out what to attack it with. So you need a molecule, you need to generate a molecule that’s going to fit into that target or disrupt that target in some way.
Now again, AI can scour vast chemical spaces and give you a list of the things that seem to be most likely to be able to disrupt that target. And then it can actually help you generate that molecule in some cases.
So now we have the target. Now we have something that we’re going to attack the target with. And then you have to do something called lead optimization, and that’s the third thing. Lead optimization means you have this lead and you have to optimize it.
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“I would make the counterargument that healthcare is ripe for disruption and you don’t even need the frontier frontier models to make it a lot better with AI.”
Now we have to figure out, of all the molecules that seem to be good at potentially affecting this target, which ones are able to be absorbed in the body, which ones are going to get to the right tissue. AI models can predict the most likely molecule to give you that Goldilocks set of properties that’s needed for a safe and effective drug.
As we all know from anyone who’s asked AI to write an email for them or Googled a question, these tools have a certain degree of certitude, even though these tools can just be flat out wrong about stuff. Are you guys worried about that in the field?
Absolutely. And so this is why I think the narrative around AI just replacing scientists or doctors or other workers is incorrect. Because you still need a lot of judgment.
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You need to be able to adjudicate the output of these models to figure out what is most promising and what is potentially dangerous. That is going to require wet labs and scientists and reasoning based on prior experience and understanding the context. There’s all sorts of issues around, can you manufacture some of the drugs that are being proposed by these models? So just because it’s set, it dreams something up doesn’t mean you can actually make that thing in the real world.
Some of the drugs that it proposes might actually be toxic in certain ways that it didn’t predict. And of course, then you have to take this thing into clinical trials. You have to recruit l people who are willing to put this medication in their bodies. You have to find out who might benefit, you have to put it through the regulatory process.
That’s why I said that the first part of drug discovery, where you’re trying to figure out how do we get the right drug candidates, what seems most exciting to test further, that’s going to be really accelerated. That whole second half where we actually have to figure out if it works in human biology, that is still going to be in some respects an analog process.
It doesn’t sound like you’re terribly scared that we are like ceding control of our hospitals, of our research facilities, to AI. This is very much in the sort of assistant bucket?
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For now it is. And I think one of the challenges is to maintain our agency as these models become more and more sophisticated. As you lean more on these machines, if you’re a doctor, inevitably some of the skills, the critical thinking, the reasoning that we put into coming up with the diagnosis that we honed over the course of years, that can start to atrophy.
These are the types of things that we still need to sort through as we’re implementing more and more AI into the healthcare system.
For the people who just say, shut it all down, this is too dangerous, the risk is far too great, we don’t actually need this, this isn’t doing anything for society, would you make a counterargument?
I would make the counterargument that healthcare is ripe for disruption and you don’t even need the frontier frontier models to make it a lot better with AI.
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Even if we wanted to “slow the pace of the frontier,” fine. But there are models from a year or two years ago that could be very helpful in the healthcare setting. When we’re talking about slowing the pace of the frontier and the most sophisticated and potentially dangerous models, fine.
But if we’re talking about shutting down AI and not using it in biotechnology or not using it in scientific research or not using it in clinical care delivery, that’s where I would push back pretty hard.
VR glasses, Aviator-style Ray-Ban Meta specs, Ace Attorney in virtual reality and much more.
Meta
It’s Meta’s turn to reveal new hardware during the always-busy fall season. The company showed off two new types of wearables at Meta Connect, virtual reality glasses and an audio-only set, as well as the third-gen Ray-Ban Meta AI specs.
It announced some updates for Meta Ray-Ban Display while making those smart glasses more broadly available. In addition, Meta revealed a hearing assistance feature for its glasses along with the biggest changes yet for Beat Saber and a raft of entertainment content that’s coming to the VR ecosystem. In addition, Meta is working on bringing the Muse AI agent to its glasses.
Let’s dive into everything the company announced at Meta Connect 2026. You can also check out our liveblog for a real-time breakdown of all the announcements.
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Meta VR Glasses
Meta
The biggest announcement at Meta Connect was the company’s virtual reality glasses. Rumors back in 2023 suggested that Meta would deploy its first such product in 2027 and it’s sticking to that time frame — Meta VR Glasses will arrive next spring. You might want to start putting some cash aside for them if you’re interested, though, as they’ll cost $1,300.
The company says, at around 100 grams, Meta VR Glasses are five times lighter than the Meta Quest 3 headset. The frames are built with magnesium alloy and have pancake lenses. They include full-color passthrough video support and a 5K display. Meta claims they’ll offer “cinema-grade clarity” with support for Dolby Vision and Dolby Atmos spatial audio. The company says it’s the first IMAX Enhanced certified VR device too.
Meta
All of the computing is handled by a tethered puck and everything runs on Qualcomm’s Snapdragon Reality Elite chipset. The puck also contains the storage and battery. Meta says the glasses will be able to deliver “up to three hours of continuous high-resolution media playback” on a charge. The puck has support for 45W fast charging too.
At the outset, there’ll be 75 games you can play using hand gestures. The glasses will run every game that’s available for Quest headsets with the help of support for Touch Plus controllers. You’ll be able to stream titles through Xbox Cloud Gaming, though Microsoft is imposing new time limits on that service. There’s the option to connect to other gaming devices wirelessly or via USB-C as well.
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Meta
True to its metaverse-derived name, Meta sees the glasses as a vector for productivity. You can hook the device up to a Windows PC or Mac and control them with a virtual keyboard and touchpad on a desk or table. You can just use a physical mouse and keyboard too.
Not unlike Apple Vision Pro, Meta VR Glasses will support holographic avatars that you can use in video calls on apps such as WhatsApp and Zoom. Folks who are joining a call on a flatscreen device can see your hologram. When you see another person’s hologram while you’re using the VR Glasses, spatial audio will place their voice in their virtual location.
Of course, the company is integrating Meta AI into the glasses. You can tell Meta VR Glasses what you want to do using your voice. Alternatively, you can control the device with your eyes or hand gestures.
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Ray-Ban Meta Audio
Meta
Perhaps in an effort to sidestep the not-unwarranted “pervert glasses” label that many have given to wearables that have a camera, Meta is releasing an audio-only model. The Ray-Ban Meta Audio glasses are, of course, equipped with an AI voice assistant. They support music and podcast playback as well as voice calls. The company says the device will run for up to 12 hours on a charge. The charging case is said to add up to 48 hours of use.
Ray-Ban Meta Audio is designed for all-day wear, the company notes. The glasses weigh 43 grams and have “professionally adjustable temple tips, adjustable or swappable nose pads and overextension hinges.” They’ll be available in a classic Ray-Ban style called Clubmaster and a more rectangular Burbank shape in 23 color and lens combos. The glasses support prescription lenses too.
Pre-orders for the Ray-Ban Meta Audio open today and the glasses ship on October 13. They start at $349.
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Ray-Ban Meta Gen 3 and other smart glasses
Meta
Meta still does have camera-equipped smart glasses, however. It has refreshed the Ray-Ban Meta with a slimmer design and a button that triggers Meta AI. The third-gen model is said to have a longer battery life than the previous one, with nine hours of usage versus eight. There’s a six-mic array that Meta claims can cut out over 90 percent of background noise for clearer audio.
The 12MP camera supports 3K video capture. The company adds that the cameras on its AI glasses will soon be able to record videos with Dolby Atmos spatial audio. A dynamic photo feature can snap multiple shots and you can pick the best one (or let Meta AI suggest options).
You can now get the glasses in the style of Ray-Ban’s classic Aviator, as well as Zena, a cat-eye frame. The Wayfarer look is sticking around too. Ray-Ban Meta Gen 3 are available starting today in 27 combos of lenses and colors. They start at $449.
Meta
There are a bunch of special editions as well. An Aviator version in milky beige with brown Transitions lenses start at $579 and will be available for a limited time. There are new collabs with Kylie Jenner and Blackpink’s Lisa, and those models start at $399. Meta is also releasing new styles for its Essilor Luxottica glasses and bringing them (and other models) to more markets.
On top of all of that, Meta is introducing more models in its own-brand Meta Glasses range. The Meta Adventurer frames now start at $249 with a black frame and gray lenses along with a plug-in case, and there’s also a limited-edition version of the Meta Fury with a clear frame and mirrored lenses. Pre-orders for the former open today and they’ll hit shelves on October 23.
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Meta Ray-Ban Display updates
There were updates on the Meta Ray-Ban Display front as well. Meta is bringing this model to more markets and making them more broadly available in the US, where you can now order them online for $799. Folks in the UK and Canada can buy these glasses today for £749 and $1,149 CAD, respectively. Pre-orders are opening today in Germany, France and Italy, where Meta Ray-Ban Display starts at €899. The glasses will be available in those three countries on October 13.
In terms of feature updates, folks in the US and Canada will be able to access cycling and public transit directions in the heads-up navigation tool later this month. Also, instead of turn-by-turn walking directions, the glasses can tell you to turn at a certain landmark that’s in front of you.
Meta Ray-Ban Display will support holograms in video calls too, but you’ll need to capture yourself using the Meta AI app if you want to create your own avatar. This will first be supported for WhatsApp calls in the US this fall.
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Through the Meta AI app and Explore (an app you can access on the glasses), you’ll be able to check out an array of web apps. Moreover, Meta Ray-Ban Display will support photo editing on the display, Dolby Atmos video capture, notifications mirrored from your phone and more.
Hearing enhancement feature
Meta is bringing a hearing enhancement feature to its smart glasses. It’s designed more for people who can usually hear fine but might struggle in a noisy environment than hard-of-hearing folks who would benefit more from an actual hearing aid.
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The setup flow is similar to the hearing aid feature on Apple’s AirPods — you’ll need to listen to tones in a quiet room so the glasses can tune the settings for you. You can switch this mode on or off by saying “Hey Meta, start hearing enhancement.”
This feature will be available in the US later this year on Meta Glasses, and later on the third-gen Ray-Ban Meta and Ray-Ban Meta Audio. There’s a 30-day trial but the company says it’ll cost a one-off $149 fee after that. Alternatively, it’s included with a Meta One subscription. Meta says the hearing enhancement tool is eligible for FSA and HSA reimbursement.
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Beat Saber, Supernatural’s return and other VR games
Meta/Beat Games
Let’s get into the entertainment side of VR, starting with Beat Saber. Meta-owned developer Beat Games is said to be giving the title its biggest update ever this spring. It includes support for hand tracking, so you’ll no longer need to use Touch Plus controllers to play, though you can still do that if you prefer.
Flux is a new single-player mode in which you can use powers like the Flux Tether. Meta says this “channels power between your palms to slice through notes in time with the beat of pulse-pounding tracks.” Flux, which will be available on Meta VR Glasses and Meta Quest, includes 35 songs from across the Beat Saber landscape at the outset, with more to follow.
Beat Games is also revamping the single-player campaign to include a narrative aspect, fresh missions and a new menu system. The studio is adding a new progression and rewards system as well. This will let you customize the look and sound of the game.
Supernatural Health
Supernatural will be back on the Meta Horizon Store this fall. A newly independent development team took the reins of the VR exercise platform after Meta made widescale cuts across its VR and metaverse division at the start of the year. Users’ points, streaks and badges will remain intact in the new app. The developers are adding more HD environments, workouts and music along with other upgrades, Meta says.
Elsewhere on the gaming front, heist title Payday: Aces High is coming to Meta Quest 3 and 3S later this year with support for co-op crossplay with the PC VR version. An open playtest starts October 19. A mixed reality version of Tetris Effect is coming to Meta VR Glasses next year with hand-tracking support. Two Point Hospital is on the way to Meta Quest 3 and 3S with hand-tracking support as well.
While fans wait for the first entirely new Ace Attorney game in over a decade, the series is about to make its VR debut. Phoenix Wright Ace Attorney: Dual Destinies (which was first released on the Nintendo DS in 2013) is coming to Meta VR Glasses and Meta Quest next year with support for hand tracking and voice activation, so you can physically point at witnesses and yell “objection!” I’ve gotta say, that sounds like a fun way to confuse people you live with. You can check out Phoenix Wright Ace Attorney: Dual Destinies VR on Meta VR Glasses and Meta Quest next year.
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VR movies, sports and other entertainment
Meta/Skydance Sports/The New Media
Meta is making a bigger push into 3D and VR experiences on its headsets and Meta VR Glasses. Disney+ subscribers (that service just got more expensive in the US, FYI) in certain countries will be able to stream the likes of The Avengers and Black Panther in 3D starting in November.
Meta VR Glasses owners will be able to check out VR Enhanced versions of iconic films like Avengers: Infinity War and Star Wars: A New Hope next spring. Meta says, in the versions of these movies that will be available through a new Disney Immersive Cinema by ILM app, “your surroundings will be transformed with immersive environments, dynamic effects, stunning 3D visuals and spatial audio to feel like you’re not just watching a scene, but living inside it.”
A docuseries called Open Season will debut in the Meta Quest TV app on September 29. This will take you inside the therapy sessions of Golden State Warriors player and four-time NBA champion Draymond Green during the 2025-26 season. This is the first entry in an original series called Meta Presents.
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The company says it will offer hundreds of 2D and 3D movies for folks to buy and rent in the US later this year. It will expand the library to more countries by the time Meta VR Glasses are available.
A new National Geographic: Beyond app will feature 180-degree 3D experiences of the natural world. A whole bunch of other streaming apps are available too, including Amazon Prime Video, YouTube, DirecTV, AMC+, Crunchyroll, Plex and Tubi, while Peacock, HBO Max and Paramount+ will offer up 3D titles.
Meta says that, along with being able to dive into sports apps like those from the NBA and MLB, you can check out immersive sports from ESPN. This will include 8K streaming with 180-degree views. Immersive Sports starts with college football this year, and it’ll expand to other sports in 2027. On Meta VR Glasses, you’ll be able to watch more than 100 live sports events each year via Meta’s partnerships with MLB, NBC Sports, TNT Sports and UFC.
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One more thing
Meta
We know barely anything about it, but at the end of today’s keynote, Zuckerberg briefly showed off a new device called Muse Charm. It’s a dedicated piece of hardware that houses your personal Muse Agent with a small display, speakers, mics and a fingerprint sensor. It looks a little like a Tamagotchi, into which, Zuckerberg says, Meta has “packed the whole Muse experience, including the real-time voice and avatar stack into something that fits on a keychain and is always available to talk to.” The company says it’ll have more to share on the device later this year.
One of the more interesting trends starting to emerge in personal technology is a simultaneous divergence of devices designed for individual use and a convergence of the computing systems to which they connect. While we’re beginning to see a much broader range of intelligent form factors and devices, we’re also increasingly seeing them focused on performing AI-powered agentic tasks on our behalf, often through shared platforms.
At Qualcomm’s latest Snapdragon Summit event in Maui, which the company graciously sponsored me to attend, this seemingly contradictory set of developments was on full display. Qualcomm introduced a range of additions to its Snapdragon family targeted at everything from smartphones and computers to several types of wearables.
While each has technologies and capabilities optimized for its particular platform, they all share an increasing focus on AI-powered agents that can complete tasks on an individual’s behalf.
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In many ways, it offered a fascinating look at the evolution of personal computing hardware and how very different types of devices are attempting to achieve a shared new set of goals. Just as interesting is how AI agents are becoming the common glue connecting these different device experiences.
For smartphones, Qualcomm took the unusual step of announcing two flagship processors, the Snapdragon 8 Elite Gen 6 and Snapdragon 8 Elite Extreme Gen 6. As TechSpot covered in detail, both bring the CPU, GPU, and efficiency improvements you’d expect from a new generation, including prime Oryon CPU cores capable of reaching 5 GHz and new Adreno Neural Fusion technology designed to improve gaming performance.
But arguably the more important changes for Qualcomm’s broader strategy are the upgraded Hexagon NPU, the newly architected Sensing Hub, and the addition of an Element Accelerator specifically designed to speed up agentic AI workloads.
The updated Sensing Hub, like those found in several of the company’s wearable-focused chips, consumes little enough power to remain active all the time. That allows devices to continuously listen for certain audio cues and respond to agentic tasks using the two micro-NPUs embedded within it. Qualcomm demonstrated how the Sensing Hub could power a personal scribe application, for example, transcribing and summarizing conversations while consuming very little battery power.
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The Extreme version of the 8 Elite Gen 6 pushes AI, gaming, and creator workloads further through several architectural enhancements. Its Adreno GPU adds matrix cores optimized for the kinds of calculations commonly used in AI inference, while its Hexagon NPU includes 50% more dedicated memory to help it run longer agentic loops. The bigger story, however, becomes apparent when you look beyond smartphones.
In the PC world, Qualcomm highlighted the growing number of computers based on its Snapdragon X2 family, including Microsoft’s latest Surface systems introduced earlier this year. The newest 13-inch Surface Pro, for example, is available with Snapdragon X2 Plus and X2 Elite processors, giving Windows PCs substantially more dedicated NPU performance for increasingly sophisticated local AI workloads.
The chips offer 85 TOPS of NPU performance and are compatible with all the latest agentic AI tools, including Perplexity, Hermes agent, OpenClaw, Claude Code, OpenAI, and more. The new Surface Pro also offers optional support for an embedded 5G modem.
Qualcomm is also supporting Google’s newly launched Googlebook platform, the next generation of Google’s laptop efforts, with Snapdragon X Series processors. Dell and HP are among the first manufacturers bringing Snapdragon-powered Googlebooks to market, combining local AI processing with Google’s growing collection of Gemini-powered features and tighter links to Android phones.
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Arguably the most intriguing announcement from this year’s Summit, though, was the latest generation of Snapdragon Sound. While previous generations primarily focused on high-quality wireless audio and automatic noise cancellation, Snapdragon Sound Elite Gen 2 puts much more emphasis on audio-based AI, including conversations with AI agents and other intelligent applications.
In essence, Qualcomm is bringing some of the intelligence previously associated with its AR and VR platforms, such as the Snapdragon XR chips used in devices like the new Snap Specs, into audio-focused products.
Given the growing range of audio smart glasses, AI recording devices, earbuds, and other “hearables” appearing on the market, Snapdragon Sound Elite Gen 2 feels particularly timely. The dramatically improved audio recognition and processing capabilities these chips enable are creating entirely new ways to interact with AI-powered computing resources.
The ability to intelligently converse with AI platforms like ChatGPT, Claude, Gemini, and others simply by speaking offers a fascinating new way to use AI. In fact, given the size and weight challenges of today’s display-equipped smart glasses, along with the still somewhat awkward mechanisms for interacting with them, it’s possible that audio-focused smart glasses could ultimately become the mainstream option for the category.
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Time will tell, but the seemingly foregone conclusion that display-equipped smart glasses would become the volume leader may not be as certain as previously thought, particularly given the ease of use and growing capabilities of audio-focused alternatives.
Regardless of which form factor ultimately wins out, connecting these devices to a common identity creates something potentially more important. Agentic AI tools can begin to work across devices, producing a degree of convergence and shared intelligence that seemed like a dream only a few years ago.
To bring these capabilities to audio devices, Qualcomm had to introduce several new technologies to Snapdragon Sound Elite Gen 2 on both the compute and connectivity sides.
For AI processing, the company integrated a dedicated new eNPU that doubles on-device AI capability compared with the previous generation. It also added micro-power Wi-Fi 6E, allowing devices to connect directly to cloud-based AI services from a hearable form factor. Combined with enhanced Bluetooth capabilities and support for Qualcomm’s XPAN personal networking technology, that connectivity allows devices to access agentic platforms, as well as high-quality audio streams, across a much wider area.
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Beyond the hardware, Qualcomm also introduced Snapdragon Sound Apps and Agents. Designed specifically for ultra-low-power devices based on Snapdragon Sound Elite Gen 2, these apps, along with the development tools necessary to create them, could help establish an entirely new software ecosystem for hearable devices.
There’s no doubt that we’re still in the early stages of agentic AI, but it’s fascinating to see how quickly tools are starting to tie our devices together into a more unified whole.
The technologies Qualcomm displayed at this year’s Snapdragon Summit are helping push that development forward. By combining advanced compute, AI acceleration, and connectivity across an increasingly diverse range of devices, the company is moving toward a world where our individual portable digital identities, and all that entails, can follow us wherever we go, whatever we’re doing, and whichever device we happen to be using.
Bob O’Donnell is the founder and chief analyst of TECHnalysis Research, LLC a technology consulting firm that provides strategic consulting and market research services to the technology industry and professional financial community. You can follow him on Twitter @bobodtech
Two artificial whiskers give this tiny drone a working sense of touch
Pressure sensors at the whisker base detect surface contact instantly
Onboard software processes tactile data using only 34 kilobytes of memory
A research team from Delft University of Technology in the Netherlands has developed a tiny drone that uses artificial whiskers to navigate where conventional sensors struggle.
The system relies on physical contact rather than cameras or satellite positioning, allowing the aircraft to detect nearby surfaces through touch.
The researchers designed the technology for drones weighing below 100 grams, where adding substantial sensing equipment can quickly consume available capacity.
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Tiny whiskers give the drone another way to sense surroundings
The device carries two slender filaments near its nose, angled upward and connected to miniature pressure sensors underneath.
When either filament touches an object, pressure changes provide information that helps the aircraft estimate its position relative to nearby surfaces.
That information allows the drone to move around obstacles, maintain contact with structures, and construct a basic representation of surrounding spaces.
The approach takes inspiration from rodents and other mammals, which use facial hairs to move through confined environments with limited visibility.
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“Here, we aim to equip drones with rich tactile sensing — not for manipulation in the air, but for a novel concept of tactile navigation,” said Salua Hamaza, Associate Professor of Aerial Physical Interaction and Embodied Intelligence.
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The system needed to be lightweight, process rapidly, and consume limited energy before tactile navigation could become practical aboard small aircraft.
The sensing system runs on only 34KB
A major hurdle was airflow, since passing wind can easily disturb whisker readings and confuse the pressure sensors beneath them.
To solve this, the researchers wrote a lightweight processing program that separates turbulence from genuine surface contact in real time with millimetric precision.
The complete onboard software occupies just 34 kilobytes of memory, keeping the computational requirements unusually low for an autonomous sensing system.
Traditional navigation software built for larger drones typically demands considerably more computing power than this compact whisker-processing system requires today
“We wanted to show that touch does not have to come at the cost of size or computational power,” said Chaoxiang Ye, a PhD candidate and researcher at Deft.
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The small size allows the drone to interpret environmental information without depending on external processing.
The approach will not suit the fastest drones, but for small rescue units, sensing through touch may prove genuinely valuable.
This device is especially useful for environments where smoke, dust, darkness, or damaged infrastructure could interfere with cameras and other optical equipment.
One potential application of this drone is in collapsed buildings where rescue operations can prove to be difficult because of instability and tight spaces, and regular aerial sensing may be unreliable
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Small drones could enter restricted spaces ahead of human responders, using physical contact to gather information about nearby structures and possible pathways.
The system could also provide another sensing method when GPS signals are unavailable or visual information becomes difficult to interpret.
Zendesk CEO Tom Eggemeier and Sierra co-founder Clay Bavor said on Wednesday that per-seat pricing for software is on its way out. They spoke at HumanX in Amsterdam. In separate sessions, both said customers should pay for AI agents only when the agents get a job done.
“Unequivocally: seats are dead,” Eggemeier said.
Both sell AI agents for customer service. They spoke as software stocks recover from what investors called the SaaSpocalypse. Things looked “pretty dark early in the year,” Bavor said. Software stocks have since come back a bit off the lows.
Paying for a result
Zendesk moved to outcome-based pricing for its AI agents in August 2024, Eggemeier said. He called it the first company to do so. It now plans to drop seats across its business, with announcements due in three to six months. For many companies, pricing by interaction will be a first step, he said.
Sierra co-founder Clay Bavor at HumanX in Amsterdam, 23 September 2026. — Credit: ALX MEDIA / HumanX
Sierra charges only when its agents resolve an issue or make a sale, Bavor said. He put it in numbers. If a company pays one euro to resolve a case that costs ten in a call centre, it saves nine euros each time.
“The ROI is so clear you don’t have to do fuzzy envelope math about productivity gains,” Bavor said.
Sierra originates more than $1bn of new mortgages a month for companies such as Rocket Mortgage, he said. It serves almost half of the Fortune 50 and one in three of the world’s largest banks. OpenAI has also started outcome-based pricing for some customers.
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Zendesk defines an outcome with each customer, Eggemeier said. In support, it is usually a problem solved without a human. For a UK used-car marketplace, it can mean an AI agent closing a £500 gap on a sale.
Who survives
The two differed on what keeps a software company alive. Coding agents such as Opus 4.5 and Codex 5.2 made software easier to build, Bavor said. Agents are also separating the interface from the data behind it. Companies with authoritative data, such as SAP in supply chains, hold up best, he said.
Eggemeier gave three tests. Companies must treat AI as both an existential threat and an opportunity. This shift will take three to five years, he said, not the ten to twenty of the move to the cloud. They must change their business model. They must also send people into the field to guide customers.
“If you’re still on seats in two or three years, I believe your company will struggle,” Eggemeier said.
Agents talking to agents
Zendesk expects AI agents to handle more than 80% of interactions within about three years, with humans handling the rest. Eggemeier said total interactions will grow sharply, and AI agent to AI agent interactions will pass 50% within two years. He uses Meta’s Muse himself, he said. Over the weekend, Zendesk tested whether a personal agent could buy its software online. It found a couple of gaps.
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Bavor said personal agents such as Meta’s Muse will soon talk directly to business agents, within about six months. Most Sierra customers move staff to higher-value work rather than cutting them, he said. Some have created a new role, the “AI architect”, who coaches the agents.
Both moderators raised the Hugging Face incident, in which OpenAI agents reached Hugging Face. Bavor said Sierra’s customer-facing agents have far more limited tools than agents that can write arbitrary code. Eggemeier called cybersecurity his most worrying topic as CEO.
“Right now, offensive AI-agent hacking capability is ahead of defensive capability,” Eggemeier said.
Two of Zendesk’s three main AI hubs are in Berlin and Lisbon, Eggemeier said. The gap between San Francisco and Europe in AI has shrunk to weeks, he said. What worries him more is the growing gap with places like Ohio and Kentucky, where he is from.
Disclaimer: Unless otherwise stated, any opinions expressed below belong solely to the author. Data sourced from the Ministry of Manpower.
Yesterday I reported some positive news from the local labour market, which still has around 40,000 vacancies for PMET candidates available. Today, I’m afraid, it’s time to balance it out with some negative findings, also from data published by the Ministry of Manpower.
As ever, the economic situation within the country differs greatly between industries.
Some are booming, pulling the country ahead, while some are falling behind, and their plight is often absent from the news headlines. This is especially true today, as the staggering boom in artificial intelligence (AI) has boosted local manufacturing sectors, raising the average GDP growth up to 6%.
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Singapore is reported to be a huge success story, posting economic performance comparable to or even better than that of developing countries.
But not all is rosy on the island, as the examples of the industries struggling this year reveal. Please note that the following numbers include all workers, local and foreign:
Net change in employment in 2026, by industry
Industry
Change in the first half of 2026
Food & Beverage Services
-3,400
IT & Other Information Services
-1,700
Wholesale Trade
-1,100
Accommodation
-800
Paper / Rubber / Plastic Products & Printing (Manufacturing)
-700
Retail Trade
-600
Transport Equipment (Manufacturing)
-500
Legal, Accounting & Management Services
-400
Insurance Services
-200
Other Professional Services
-100
Air Transport & Supporting Services
-100
OTHER
-700
TOTAL
-10,300
Data until the end of Jun 2026./ Source: Singapore Ministry of Manpower
The top entry on this list is a surprise to nobody.
The Food & Beverage sector is known to have been suffering in recent years, with hundreds of restaurant closures amid pressures from rising rents and inflation on one end, and limited willingness for customers to pay enough to offset these rising costs on the other (as well as some predatory competition from China).
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But the situation is the worst it has been since the pandemic.
Throughout 2024 and 2025, employment in F&B services remained relatively stable, but this year’s slump has already wiped out virtually all the jobs added all the way back to 2023. In terms of labour, F&B is where it was at the end of 2022, when it was still emerging from the pandemic crisis.
That said, it’s quite likely that the majority of the workers affected are non-Singaporean (though Singaporeans have to accept a shrinking selection of food venues).
What’s more concerning is the IT sector’s slide, despite other data suggesting it’s doing well.
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Shrinking IT
With close to 4,000 vacancies, it appears to be pretty strong, remaining open to qualified candidates. And yet, the number of people it employs in Singapore keeps shrinking.
This year’s drop of 1,700 jobs follows 3,700 lost in 2025. Since Q4 of 2024, the total fall in IT employment has reached around 6,200 positions—and we know that those are some of the best-paying ones in Singapore.
So, on the one hand, tech appears to be booming and looking for more people and, on the other, we’re seeing it getting rid of workers at the highest pace on record.
Clearly, the AI revolution has eaten into the profession, as companies move priorities from employing the best talent to deploying the most capable AI solutions—and paying for that investment through headcount cuts.
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It’s hard to say whether the large number of advertised vacancies is due to skill mismatch in the age of AI or whether they are ghost offers that never really get filled.
Not even corporate workers are safe
While posting much smaller losses, it’s worth noting that even those in roles established around local corporations in legal, management, accounting or insurance services cannot feel too comfortable about their employment.
Excluding architecture and engineering, professional services have posted a drop of 700 jobs in the first half of the year.
While it may seem small, it’s equivalent to a pretty big company going completely out of business and taking all of its people. And, unfortunately, it’s also a part of a longer trend, as the sector had lost a total of 2,200 jobs in the 18 months up to Jun 2026. It’s not an isolated stumble.
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It’s hard to say if that too is a result of AI, but this trend deserves attention, as next to IT and Finance, those tend to be well-paying jobs that many Singaporeans are interested in.
As you can see, the biggest tech revolution of our time might have boosted Singapore’s economy sky high, but not everybody was lucky enough to secure a ticket for the ride.
Read other articles we’ve written on Singapore’s job landscape here.
[Yeo Kheng Meng] has a problem: he likes Windows 98, but he also likes his 2020 ThinkPad, which only has an xHCI USB controller– you know, the kind needed for USB 3.0, something that post-dates Windows 98 by a full decade. Drivers? Finding none existed, he decided to do it himself, or at least guide the process of using LLMs to produce drivers for Windows 98 and up.
Some of you just stopped reading, but can you blame him for making a demonic pact for this project? Driver development isn’t really a one-man show, especially as a part-time hobby project you’re not sure anyone else will ever use. If you do want to use it, you can find the code on GitHub.
It does work, though, he admits it might be buggy. Unlike purely vibe-coded projects, [Meng] intends to address bugs put forth in the repo, at least. If you want to know how he did it, check out the link to [Meng]’s blog– which is human-authored, we can tell– and the videos embedded therein. He demonstrates it working on a 2020 ThinkPad, which should be usable even with Windows 11, and another model from 2016– neither of which have any old-style USB ports. Older laptops might, while any desktop can just use a PCI card with a USB2.0 controller– or you can do like [Meng] did prior to this project, and use the PCI card via adapters.
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[Yeo Kheng Meng] evidently gets as much of a kick out of joining old and new as we do, like running DOS a modern ThinkPad X13, and running Slack on Windows 3.11 For Workgroups on a slightly-less-modern but still 21st Century Thinkpad T400.
The “third-party.com” domain, commonly used as a placeholder in developer documentation and code examples, is serving a fake Cloudflare verification page that attempts to trick Windows users into executing PowerShell commands.
The domain third-party.com has long been used in documentation to represent an arbitrary external website, API, or service, similar to how developers use domains such as example.com.
However, unlike example.com, example.net, and example.org, which IANA reserves specifically for documentation, third-party.com is a normally registered domain whose content its owner can control.
This difference is now a security concern after the domain began serving a ClickFix attack that impersonates a Cloudflare security check.
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Manifold Security first reported the malicious use of the domain after discovering it while examining public AI skills and MCP server documentation that referenced the domain.
BleepingComputer has since confirmed that the page displays a fake Cloudflare “Performing security verification” CAPTCHA screen containing a “Verify you are human” prompt.
After the user clicks the verification box, the site copies a malicious PowerShell command into the Windows Clipboard, and then instructs the user to press the Windows key + R, paste the contents of their clipboard using Ctrl+V, and press Enter.
Clickfix attack on third-party.com Source: BleepingComputer
When the PowerShell command runs, it reconstructs the payload URL elxxvvx[.]xyz/f, downloads a PowerShell script from that address, and then executes it.
This technique is commonly known as ClickFix, where attackers use fake errors, CAPTCHA prompts, or verification pages to convince victims to manually execute commands copied to their clipboard.
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ClickFix attacks have become a popular way to distribute malware, as the malware is installed via commands executed by the user rather than downloaded from websites or as email attachments. In some cases, this could allow malware to install while bypassing traditional antivirus software.
At the time of BleepingComputer’s testing, elxxvvx[.]xyz no longer resolved, leaving the current attack chain broken.
However, a Hybrid Analysis report from May 2, 2026, shows the site distributed a PowerShell script configured to download a 134MB zip archive from:
https://elxxvvx[.]xyz/update2.zip
The PowerShell script saved the archive as update26.zip, extracted it, and then attempted to launch an executable named draw.io.exe.
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Because the update2.zip archive is no longer available, BleepingComputer couldn’t determine what the payload does.
Manifold’s Ax Sharma says the attack specifically targets Windows users, and Linux and Mac visitors will see errors stating their operating system is unsupported.
“A macOS or Linux user-agent gets none of that. It gets a near-identical page that stops at an error: “macOS is not supported. This website requires a Windows PC to access.” No clipboard poisoning, no payload,” explains Sharma.
“The attacker only shows the weapon to the targets it works against, which is precisely why a casual look, or a scanner on a Linux datacenter IP, sees nothing wrong.”
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A placeholder that wasn’t reserved
The more interesting aspect of the attack is the third-party.com domain chosen to host the ClickFix page.
Public developer documentation has treated third-party.com as a generic example hostname for many years.
For example, the W3C Geolocation specification currently demonstrates granting geolocation permissions to an external iframe using third-party.com as a placeholder domain:
Third-party.com used in W3C sample documentation
The W3C Compute Pressure specification similarly uses the domain when demonstrating how a website can enable the API for remote content:
Chromium’s documentation for its Telemetry Extension API also uses third-party.com as an example website permitted to communicate with a Chrome extension:
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Other examples go further and use the domain in code that would actually make network requests if copied literally.
A PrivacyCG proposal on GitHub also uses the domain as the destination of a JavaScript fetch() request from a service worker.
Posts online indicate that developers have copied these and similar examples into their own code and projects.
In a 2015 Stack Overflow question, a developer said they had applied an asynchronous loading example containing https://third-party.com/resource.js to their website before discovering that it did not behave as expected after publishing the site.
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These examples do not mean that the associated projects or documentation are compromised.
However, applications or test code that copied such placeholder URLs could now cause a browser or automated tool to contact the real third-party.com domain and potentially display the ClickFix attack in a browser or application.
Unlike example.com, which IANA maintains for documentation and does not allow to be registered or transferred, the third-party.com domain has no such protection, and was clearly hijacked or registered at some point to conduct these ClickFix attacks.
“third-party[.]com has been a generic documentation placeholder for years, the same role example.com plays,” explains Manifold.
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“A public code search turns it up in skills, MCP-server docs, and over 1,500 files across 1,700+ repositories from names as trusted as Chromium, Sanity, and Vercel. Since at least June 2026 it’s been serving the ClickFix lure.”
While the widespread use of third-party.com as a placeholder in documentation makes the domain attractive to attackers, there is no evidence that it was registered for malicious purposes.
The domain was first registered in 1996, long before the current campaign, and BleepingComputer has not determined when or how control of the site changed.
At this time, there have been no reports that these references to third-party.com have actually resulted in ClickFix attacks being executed on developer’s devices or within their applications/webpages.
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However, as the domain remains live, it could easily be switched to a new, live payload domain and actively utilized in future attacks.
Join Mikko Hyppönen and security leaders from the NFL, CHANEL, and Atlassian for a two-hour digital summit on what AI-speed attacks change, what defenders should stop doing, and how to validate, decide, fix, and re-validate at machine speed.
Most companies that struggle with enterprise AI are not waiting for better models, OpenAI’s head of forward deployed engineering said on Wednesday. In about 80% of cases, Colin Jarvis said, the problem is deployment. Companies do not yet know how to roll AI out, govern it or prove they can trust it.
Glasgow-based Jarvis leads OpenAI’s forward deployed engineers (FDEs), who work inside customer companies to get its models into production. He spoke to Alex Hern of The Economist at HumanX in Amsterdam.
“I don’t personally feel a lot of pressure to race ahead on model development itself,” Jarvis said.
In the other 20% of cases, customers say the model cannot yet do the job, he said. Those gaps are now narrow and specialist, such as a task in semiconductor design, rather than everyday office work.
What FDEs do
The team started out as mostly software engineers, Jarvis said, because building on the raw API meant writing everything from scratch. With tools such as Codex, about 50% of each project is now custom work, down from about 90%. That has shifted hiring toward domain experts, including a former investment banker, former scientists and a chip verification engineer.
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Every engagement starts with a two-day visit. The team asks business leaders to ignore AI and name the biggest levers in their business. It then works on whichever that turns out to be.
At one semiconductor company, engineers spent maybe 80% of their time on bugs from overnight jobs, Jarvis said. OpenAI built a system that finds the root cause, proposes a patch and applies it after an engineer reviews it. It spread from one department to the whole business. The company estimates it saves roughly $40m to $50m a year.
Other projects include an agent that iterates car part designs from plain-language instructions, for a European manufacturer. Another helps draft clinical trial documents, where a human always stays in charge.
Why pilots fail
Jarvis named two common mistakes. Companies pick a use case because it seems to fit AI, not because it matters. Or they get one good use case working in one department, and it stays a demo that never spreads.
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The companies that succeed measure success by production use, not proofs of concept, he said. One semiconductor customer has about 35 use cases live after roughly 18 months. It built a central team to scale projects and placed small groups of engineers in each business unit.
FDEs have no financial incentive tied to usage, Jarvis said. They are measured on whether a project reaches production and moves a real metric. When OpenAI’s embeddings were too slow for a Klarna search service, he told the company to use an open-source model instead.
“From OpenAI’s side, we should always be temporary,” he said.
The pace question
Hern noted that Sam Altman was at the UN that day, as pressure grows to slow AI down. Jarvis said OpenAI has shown it will pause when it reaches the limits of its safety frameworks. He said he thought it paused its main reinforcement learning run “in September this year”.
OpenAI published its own post on the pause on 18 August. It describes a two-week pause in reinforcement learning training on its latest models. It also says its largest planned frontier run stayed on hold. Altman has since said OpenAI will set its own pace without waiting for Congress.
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Jarvis said FDEs help test whether safety frameworks built in a lab hold up in messy real companies.
Financial extortion doesn’t seem to be the group’s goal this time.
Andrea Izzotti/Shutterstock
Hacking group ShinyHunters has allegedly stolen extensive amounts of sensitive information from the US Federal Bureau of Investigation that includes details about its employees and job applicants. Reuters reports that it has seen a sample of the data obtained by the attack on the agency, and 404 Media also said it received confirmation of the action from a representative of ShinyHunters. The hackers also appeared responsible for an unauthorized takeover of the FBI website earlier this week.
“We hacked the FBI. We hold data on all FBI employees and applicants,” the spokesperson told 404 Media. According to that source, ShinyHunters got the information by using a zero day exploit in the PeopleSoft program from Oracle to obtain access to Amazon Web Services’ GovCloud servers.
A statement from the FBI shared with Reuters said that the agency was aware of “a cyber-criminal enterprise group claiming a compromise of the FBIJobs.gov portal and alleged impact to FBI employee personally identifiable information” and that it is “actively and aggressively investigating the matter.”
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The attackers claim to have 2-3TB of data, but the sample shared with the media appeared to contain names, addresses, telephone numbers, dates of birth, social security numbers and emergency contact details for 5,000 employees at the FBI. The group may also have gathered details about some work assignments for agents and about some FBI units that are working on intelligence, security and counter-espionage efforts, including operations focused on both China and Russia.
Many of ShinyHunters’ previous hacks have been aimed at extortion, with actions against parties ranging from Ticketmaster to Rockstar Games in recent years. However, the rep who spoke with 404 Media claimed this move against the FBI was “not financially motivated” but rather aimed at coercing the government agency to remove or amend a previous statement made about ShinyHunters. In a report from May, the FBI said the hacking group “exaggerated claims of access to sensitive or personal information to prompt payment from victims.”
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