Meta is renewing its quest to make virtual reality a thing. At its Connect event on Wednesday, the company announced Meta VR Glasses, its newest entry into the VR market, which will be available next spring starting at $1,299.99.
These glasses actually seem quite promising, thanks to a substantially lighter form factor and a host of new entertainment integrations — including (allegedly) IMAX compatibility.
Moments before unveiling them, Meta CEO Mark Zuckerberg reminded the audience that the company had decided awhile ago to shift its focus away from the Metaverse and build fewer VR devices until it had real breakthroughs.
“This is a breakthrough,” he exclaimed before showing off the glasses. “A lot of people agree that augmented reality glasses with holograms are clearly going to be part of the future, but we’ve also heard that a lot of people are less interested in wearing a headset. So we have built a new kind of VR device that delivers the same magical feeling of presence and immersion with high-resolution displays and views of the world around you in a form factor that is a pair of glasses for the first time.”
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Meta says that the glasses are five times lighter than the Meta Quest 3 — and they look much more like normal eyewear than the bulky headsets the company has released before. The frames are made of magnesium alloy, and the glasses are powered by Qualcomm’s Snapdragon Reality Elite processor. They connect to a computing puck that doubles as a battery, which users can just slip the puck into their pocket to use the glasses on the go.
The glasses are largely built for entertainment. Micro-OLED panels built into the lenses provide what Meta calls a 5K Infinite Display with 37 pixels per degree, along with Dolby Vision and Dolby Atmos audio support. Users will be able to download and watch movies.
Perhaps one of the more unique features of the glasses, however, is that Meta is pitching them as a great way to enjoy IMAX-captured films.
Indeed, the company calls the glasses the “first IMAX-enhanced certified VR device ever” and says they will be one of the few ways to experience the expanded aspect ratio that defines IMAX’s distinct high-resolution viewing experience.
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The glasses also support 3D content, including movies that integrate a user’s physical space into their viewing experience. Meta says that it has teamed up with Disney and that in November, Disney+ users will be able to stream specific movies — including certain Marvel movies — in 3D.
Meta says that users will be able to watch specific movies and have their surroundings “transformed with immersive environments, dynamic effects, stunning 3D visuals, and spatial audio” — essentially converting the movie into a VR gaming-type experience.
The glasses will also come with Meta AI — its automated virtual assistant — built in, which means that users will be able to talk to the glasses and automate various tasks via voice command. For instance, Meta says you’ll be able to start a movie just by asking your glasses to do so. Other ways to issue commands include hand gestures.
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For years, the television market followed a fairly dependable rule: if OLED was too expensive, buy an LCD TV. That equation is starting to look considerably less dependable.
Three of the world’s dominant LCD panel manufacturers — BOE, TCL CSOT and HKC — have reportedly notified major television manufacturers, including Samsung Electronics, LG Electronics and Sony, of higher LCD panel pricing beginning in September or during the fourth quarter. The timing is especially inconvenient because TV manufacturers are securing inventory for Black Friday and the holiday shopping season.
The obvious explanation would be that consumers suddenly started buying televisions faster than factories could build them, but TV demand is actually softening. What has changed is the cost of producing LCD panels, how much manufacturing capacity panel makers are willing to keep online, and, most importantly, who now controls much of that production.
Welcome to television economics in 2026, where weaker demand and higher component prices can apparently coexist quite happily. Nobody said this business had to make sense.
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Why Are LCD Panel Prices Going Up?
There are two forces working together. TrendForce reports that demand from the AI industry is creating additional competition for upstream materials and manufacturing resources used by display manufacturers, and expects overall TV panel costs to increase 4% to 7% quarter over quarter during Q4 2026.
At the same time, television panel demand is expected to decline. TrendForce projects unit demand to fall 4% quarter over quarter in Q4 following inventory building during the third quarter, which would normally sound like a recipe for lower prices.
Except BOE, TCL CSOT and HKC are also reducing production. The three manufacturers are planning output cuts around China’s Golden Week holiday, with some LCD fabrication lines temporarily reducing or suspending operations.
TrendForce expects utilization at large-generation display fabs to fall to approximately 79.6% in October, down 4.2 percentage points from September. This is therefore not a conventional panel shortage caused by unexpectedly strong television sales.
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Manufacturers are managing output more carefully to keep supply from running too far ahead of demand while also dealing with higher production costs. They also have considerably more ability to influence the market than they once did.
China Now Holds Most of the LCD Cards
BOE, TCL CSOT and HKC collectively account for approximately 70% of global TV panel supply, according to TrendForce. Their position becomes even stronger in larger screen sizes, where industry estimates put their combined share of the 65, 75 and 85-inch LCD panel markets at roughly 70% to 85%.
Chinese panel makers spent years expanding manufacturing capacity and competing aggressively on price while Korean and Japanese display manufacturers gradually retreated from LCD production. That concentration did not happen overnight, but its consequences are becoming much harder to ignore.
That leaves fewer companies controlling an enormous percentage of the global LCD supply chain. Turns out that when enough competitors leave the room, the companies still sitting at the table gain some leverage.
Samsung May Appreciate the Irony
Samsung makes this situation particularly interesting because, for more than a decade, Samsung Electronics aggressively promoted QLED, Neo QLED and increasingly sophisticated LCD-based television technologies as alternatives to OLED. And to be fair, the best LCD televisions became dramatically better during that period.
Mini LED backlighting improved black levels and local dimming, quantum dots expanded color performance, and newer RGB backlighting technologies promise another significant step forward. Samsung’s 2026 Micro RGB televisions demonstrate that LCD still has plenty of technical life left.
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The awkward part is that Samsung Display no longer manufactures the LCD panels required for Samsung Electronics’ enormous television business. Samsung Electronics therefore depends heavily on outside suppliers, including Chinese manufacturers whose expansion helped make LCD panel production less attractive for Samsung Display in the first place.
There is enough circularity there to make even Samsung’s AI processing dizzy. Meanwhile, Samsung has become increasingly serious about the technology it spent years positioning QLED against: OLED.
2026 Samsung S90H OLED TV
Its 2026 OLED lineup extends from the more affordable S85H and S90H through the flagship S95H. Our 65-inch Samsung S90H review unit used a WOLED panel from LG Display, while Samsung continues to use its own QD-OLED technology in portions of the premium lineup.
Samsung is certainly not abandoning LCD, nor should it. But OLED has gone from awkward rival to an increasingly important part of Samsung’s television strategy, which makes the current shift in panel economics especially interesting.
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OLED Is Trying to Get Cheaper
That matters because OLED manufacturers are attacking the technology’s biggest commercial weakness: cost. We recently covered LG Display’s new 2-stack WOLED architecture, which is designed to simplify panel construction while reducing material and manufacturing costs.
By eliminating one emissive layer compared with more complex designs, LG Display potentially requires less organic material and fewer manufacturing steps while still pursuing strong brightness and color performance. The goal is not simply better OLED, but OLED that becomes less expensive to manufacture.
LG Display is also developing FLiPP, a manufacturing process designed to eliminate the fine metal masks traditionally required to produce RGB OLED pixels. Again, the objective is greater manufacturing efficiency and lower costs as OLED production scales.
2026 Roku Pro Series OLED TV
That does not mean LCD suddenly loses its reason to exist. LCD remains particularly strong for very bright rooms, can deliver extremely high full-screen brightness, and is much easier to scale into 85, 98 and 100-inch screen sizes without requiring a second mortgage and a sympathetic loan officer.
But the historical price gap between LCD and OLED is getting smaller. Higher LCD panel costs certainly will not help widen it again.
Which TV Brands Are Most Exposed?
The manufacturers specifically identified in reports about the latest LCD panel price increases include Samsung, LG and Sony. That is significant because all three sell large numbers of LCD televisions alongside their OLED offerings.
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TCL occupies a somewhat different position because its corporate structure includes TCL CSOT, one of the world’s largest panel manufacturers. That degree of vertical integration gives TCL greater control over panel supply and manufacturing costs than companies that rely more heavily on outside suppliers.
Hisense and other major LCD television brands also operate within the same broader panel market and could be affected by industry-wide component pricing. However, they have not all been specifically identified in the current reports as recipients of these latest price-increase notices, so there is no reason to pretend every TV manufacturer faces exactly the same situation.
Will TVs Actually Cost More?
That is the question consumers actually care about, and higher panel prices do not automatically mean Samsung, LG or Sony will increase television MSRPs next week. Manufacturers negotiate panel contracts in advance, source components from multiple suppliers and can absorb some cost increases through margins.
They can also adjust production mixes and promotional strategies. The more likely near-term effect could be smaller Black Friday discounts, shorter promotions, or some models simply declining in price more slowly than they otherwise would have.
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Display panels represent one of the largest individual costs inside a television, so sustained increases eventually become difficult for manufacturers to ignore. How much of that reaches consumers will depend on the brand, model, screen size and how aggressively each manufacturer wants to compete during the holiday season.
There is also a broader competitive issue developing around the $1,000 to $2,000 price range. If mainstream OLED prices continue falling while better Mini LED LCD televisions become more expensive to manufacture, consumers may increasingly compare the two technologies directly rather than treating OLED as the automatic premium upgrade.
That could become a much bigger problem for premium LCD than a modest panel-price increase. Price has always been one of LCD’s strongest weapons, and losing some of that advantage would change the buying equation.
TCL X11L 4K TV at CES 2026
The Bottom Line
LCD television technology is not disappearing, and Mini LED, quantum dots and RGB backlighting continue to improve what the best LCD sets can deliver. The technology remains especially compelling at very large screen sizes and in rooms where brightness matters more than perfect blacks.
The economics underneath those televisions, however, have changed considerably. LCD manufacturing has consolidated around a much smaller group of suppliers, giving those companies greater influence over production and pricing just as component costs are increasing.
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At the same time, OLED manufacturers are working in the opposite direction by simplifying production and pushing the technology toward lower price points. Nobody should cancel their Black Friday plans because LCD televisions are suddenly about to become dramatically more expensive, because there is not enough evidence to support that conclusion.
But the direction is worth watching closely because the old pricing relationship between the two technologies is shifting. For years, LCD owned the price advantage while OLED owned the premium conversation.
If LCD gets more expensive while OLED keeps getting cheaper, that line becomes considerably harder to draw.
First impressions last a lifetime, and the iPhone Duo certainly made one when I got my hands on it at Apple Park earlier this month. But along with the intrigue came a handful of questions that I can’t wait to explore once the Duo becomes my everyday phone.
Apple’s passport-sized foldable iPhone, which opens for preorders Oct. 16 and launches Oct. 23, is designed to be versatile. You can quickly text or check notifications on its 5.4-inch cover screen, then unfold it to watch videos or multitask on the 7.6-inch inner display. Rotate it to portrait orientation, and it’s well suited to scrolling through vertical social content. Judging by how much I enjoy using Samsung’s similarly sized Galaxy Z Fold 8, I have high hopes for the iPhone Duo.
In my short time with the Duo, I got a glimpse of how Apple’s hardware and software work together to differentiate the phone in an increasingly competitive foldable market. But with this being Apple’s first foray into the space, I have plenty of questions I look forward to answering once I can test the phone.
Here are the five features I’m most eager to explore on the iPhone Duo.
How streaming will be optimized for the displays
One of the biggest draws of a foldable phone is the ability to watch videos on a larger inner display.
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Traditional book-style foldables such as the Galaxy Z Fold 8 Ultra and Google Pixel 11 Pro Fold tend to have taller designs that resemble a slab phone when closed. When you open the phone to watch widescreen video, the content is letterboxed, leaving massive black bars at the top and bottom of the display. With a passport-sized foldable such as the Galaxy Z Fold 8, whose 4:3 aspect ratio is better suited for content consumption, those bars are significantly reduced, allowing more of the inner display to be used for video.
Apple demonstrated how Netflix will be optimized for the Duo’s displays — from the cover screen to the main display to this half-open configuration with controls on the bottom half. Celso Bulgatti/CNET
At Apple’s product unveiling, the company demonstrated how Netflix is optimizing its app for the iPhone Duo, ensuring content is well suited to both the phone’s cover and inner displays by reducing those black bars. The Duo sizzle reel shows similar customizations for Apple TV. The question is how other streaming services will customize their apps for the Duo’s 1.4:1 aspect ratio to deliver a more immersive viewing experience.
One standout feature of the iPhone Duo compared to other foldable phones is its matte main display reduces glare and the appearance of a crease. That can make it easier to watch videos under various lighting conditions, and I especially look forward to testing that under the bright California sun. It’ll be interesting to see whether colors look significantly more muted as a result of that matte screen, or if I hardly notice a difference. In my limited time with the phone, I didn’t sense there was a huge tradeoff when it came to the display’s vibrancy, but I also look forward to exploring that more.
Another element that could make on-screen content feel more immersive is the Duo’s “disappearing” under-display inner camera. While phones such as the Galaxy Z Fold 8 have a noticeable hole-punch cutout on the larger display, the Duo essentially hides its camera when it’s not in use. That means fewer visual distractions when watching TV shows and movies, while also keeping a tiny black hole from getting in the way of documents and other content on the larger screen.
The camera cutout on the inner display can “hide” when not in use.Celso Bulgatti/CNET
Notably, the Duo’s speakers sit on opposite sides of the foldable phone, with one set on the upper left half and the other on the bottom right. The Galaxy Z Fold 8, on the other hand, places both speakers on the left side. I was initially thrown off by the Z Fold 8’s slightly lopsided audio, but I’ll admit I quickly stopped noticing it as I continued to use the phone. Still, the Duo could have a noticeably improved sound experience because of its more balanced speaker setup, paired with Apple’s Spatial Audio.
It’s also interesting that the Duo’s volume buttons sit at the top of the phone when it’s held in landscape, therefore making the controls easier to access when the phone is rotated to portrait. That may be a slight adjustment for me at first, but I’m curious if I’ll end up preferring that arrangement as I swipe through endless reels.
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The multitasking experience
The Duo supports drag and drop functionality when multitasking.Celso Bulgatti/CNET
Another major perk of foldables is the ability to multitask. Unlike the Galaxy Z Fold 8, which allows for multitasking with up to three apps, the Duo is limited to two. That’s not much of a letdown for me, since I usually stick to running two apps simultaneously on the Z Fold 8 to prevent overcrowding.
Like other foldables, including the Galaxy Z Fold 8, 8 Ultra and Pixel 11 Pro Fold, you can easily drag and drop content across apps on the Duo. I played with this a little bit during Apple’s event by quickly attaching photos to text messages, but I’m curious how many other apps, both internal and third-party, will support this capability.
Apple Pencil support could really make the Duo feel like a tablet
The iPhone Duo has frequently been referred to as a hybrid between an iPhone and an iPad Mini, and one aspect that makes that especially true is its support for the Apple Pencil stylus. That support is slated to arrive later this year via a software update.
Rumors pointed to Apple designing a smaller Apple Pencil for the Duo, which never materialized due to “technical problems” before mass production, according to Bloomberg. Instead, Apple opted for its USB-C Pencil (but notably not the Apple Pencil Pro).
The iPhone Duo is designed for both horizontal and vertical content.Celso Bulgatti/CNET
I’ve never owned a tablet; I haven’t been able to muster a strong enough reason to spend hundreds of dollars on what I see as a larger and less capable version of a smartphone. Foldables are a happy medium for me, allowing me to use a compact or standard-size handset that doubles as a larger canvas for watching, working and multitasking. Stylus compatibility could elevate the Duo above competitors such as the Galaxy Z Fold 8, which doesn’t have S Pen support.
That said, I hardly ever reach for the stylus on the Galaxy S26 Ultra, because typing and swiping with my fingers feels so much more intuitive. But having the option to use the Apple Pencil with the Duo is a plus either way. I’ll have to see if it opens my eyes up to a world of tablet-like productivity I’ve been missing out on.
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Camera performance
The iPhone Duo has two 48-megapixel rear cameras.Celso Bulgatti/CNET
Foldable phone cameras have long had a bad rap, given that early models had less room for larger image sensors and lenses. This resulted in images that were significantly downgraded from what you’d get on a flagship, despite the high sticker price.
That gap has narrowed in recent years as both camera hardware and foldable design have evolved to become sleeker and more capable. Phones such as the Galaxy Z Fold 8 Ultra and the Pixel 11 Pro Fold have impressive cameras that may not be quite on par with their non-folding premium counterparts, but that still deliver great images.
The iPhone Duo appears poised to offer up similarly high-quality shots, with a 48-megapixel main camera and a 48-megapixel ultrawide camera. Like the Z Fold 8, though, there’s no telephoto camera. I was mentally prepared for this omission, given my experience with Samsung’s passport-sized foldable, and I don’t really mind the absence of a telephoto lens on that device. That said, it is disappointing when a phone in the $2,000 range doesn’t have the most specced out rear camera setup.
The biggest looming question is how good the iPhone Duo’s internal selfie camera will be. In its tech specifications, Apple simply refers to it as an “under-display FaceTime camera” that supports 1080p video recording at 30 or 60 frames per second — but no official word on the megapixel count. This implies it may be a step down from the 12-megapixel selfie camera on the front of the Duo.
The Duo’s inner selfie camera is geared toward FaceTime videos.Celso Bulgatti/CNET
To be fair, apart from when I’m testing a foldable phone’s cameras, I rarely ever opt for the inner selfie camera because it doesn’t feel like a natural way to snap an image, especially when the cover screen camera is right there. Plus, to get higher-quality images, you can use the Duo’s Smart Take feature to see a preview of your shot on the cover screen when using the rear cameras. So there are better options for taking a photo than using the inner selfie camera.
I look forward to seeing how all the Duo’s cameras perform once I take it out and about beyond the confines of Apple Park.
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How good will battery life be?
For some people, battery life will be the make or break element. How long will the iPhone Duo last as you endlessly scroll, stream and snap photos?
Apple says the iPhone Duo will give you up to 31 hours of video playback on the inner display, and 44 hours when using the outer screen. When equally spilling your time between both, the company says you’ll be able to go 24 hours before needing to charge.
With more traditional book-style foldables such as the Galaxy Z Fold 8 Ultra and Pixel 11 Pro Fold, I tend to stick to the cover screens because they’re so similar to the dimensions of slab phones that I forget there’s a larger display inside. Palm-sized phones such as the Z Fold 8 help to remedy that by giving me more incentive to unfold the device and use a larger canvas, and the Duo falls in that camp.
When splitting time between the iPhone Duo’s displays, Apple says the phone should last about a day before needing to be charged.Celso Bulgatti/CNET
With that in mind, I’m curious how well the Duo’s battery will hold up as I frequently hop between the cover and main displays. Unlike Samsung’s latest foldables, the iPhone Duo doesn’t have a silicon-carbon battery, which can increase energy density and speed up charging time. Still, Apple says the iPhone Duo can charge up to 50% in around 20 minutes with a 60-watt adapter or higher.
The Duo does have the advantage of MagSafe support with Qi2.2 wireless charging up to 25 watts, like the Pixel 11 Pro Fold. By comparison, the Z Fold 8 and 8 Ultra don’t have built-in magnets, so you’ll need a Qi2-compatible case to tap into wireless charging. While it’s probably smart to slap a case on your nearly $2,000 iPhone Duo, it’s nice to know it’s not necessary for painless wireless charging.
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Now, the countdown is ticking. Until I can put the Duo through its paces in the real world, the verdict on this — and the many other questions that are bound to arise — remains out.
Abrar Al-Heeti
Senior Technology Reporter
Abrar’s interests include phones, streaming, autonomous vehicles, internet trends, entertainment, pop culture and digital accessibility. In addition to her current role, she’s worked for CNET’s video, culture and news teams. She graduated with bachelor’s and master’s degrees in journalism from the University of Illinois at Urbana-Champaign. Though Illinois is home, she now loves San Francisco — steep inclines and all.
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Confirming earlier reports, Meta announced its first pair of camera-free AI glasses, the clunkily named Ray-Ban Meta Audio, at its Connect 2026 conference on Wednesday. Designed to combat criticism around the more malicious use cases for AI glasses, which saw them nicknamed “pervert glasses” by some, the new devices will be audio-only, offering the ability to listen to music and podcasts, take calls, translate speech, and communicate with Meta’s AI assistant, Muse.
The glasses are designed by Meta’s partner in its AI hardware efforts, EssilorLuxottica, and will start at $349.
While Meta today offers a range of AI glasses in a variety of styles, colors, and capabilities, the audio-only glasses could help the brand recover from some of the reputational damage after critics pointed out how people, often men, were using AI glasses to record videos without subjects’ consent. Meta attempted to mitigate this issue with an update that would disable the camera if the LED light that indicated the glasses were recording was ever tampered with. However, the creepiness factor remained.
This latest device could prove to be more popular for that reason, while also providing an answer to something like Apple’s Siri-powered AirPods.
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“Once you get used to high quality audio, it’s just a thing that you want all the time, right?” Meta CEO Mark Zuckerberg said during a keynote Wednesday, adding that the company after working on the idea realized it could design a whole new category of glasses around audio glasses.
Image Credits:Meta/Screenshot /
Because they don’t have to house cameras, the glasses are slimmer than Meta’s other models and weigh only 43 grams. They also have adjustable temple tips, swappable nose pads, overextension hinges, and battery life of up to 12 hours on a single charge, Meta claims. With the included charging case, that battery life extends to up to 48 hours.
They’ll also come in a variety of colors and options — 23 color and lens combinations in total — and in two new styles, a retro-inspired “Clubmaster” Ray-Ban style and “Burbank,” described as more of a “classic, timeless, rectangle shape.” Like other Meta glasses, you can order them with your optical prescription as well, if needed.
The glasses will be available for preorder on October 13, the company noted.
Alongside the glasses, Meta announced its next-generation AI glasses (the ones with cameras), the Ray-Ban Meta (Gen 3). In addition to the Ray-Ban Meta Wayfarer, there will also be two new styles, the Aviator and Zena — the latter offering more of a cat-eye frame shape. These will have a 12 MP camera that supports 3K Ultra HD video, a six-mic array, and up to nine hours of battery life.
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The glasses Meta launched with EssilorLuxottica will also see an expanded lineup of styles and colors as well as a new partnership with singer Lisa, which follows the company’s earlier brand partnership with Kylie Jenner. The glasses will also be roll out to more countries globally, Meta said.
All of Meta’s AI glasses will, of course, feature access to its newer personal AI assistant, Muse.
The company also teased other coming updates, including support for Dolby Atmos Capture, a feature that picks the best photo from multiple frames, an option to choose landscape or portrait modes, hearing enhancements for those with hearing loss, more detailed responses, different audio modes, customizable controls, and something called “private processing” that Meta claims will prevent the company from seeing your data.
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Distribution systems are trending toward higher feeder density on increasingly constrained station sites. This puts pressure on the short section of line where station capacity is divided into individual feeders. At this substation exit, a single contact-driven fault can interrupt many circuits at once, so reliability in the first spans carries unusual weight.
This white paper explains how covered, spacer-supported overhead construction changes the way conductors respond to incidental contact. It also makes clear that covered conductor is not touch-safe insulation and still sits inside the utility’s normal safety framework. The paper reviews the thermal rating, protection, grounding, structural, and insulation-coordination work needed to apply the approach well. It compares overhead spacer cable with conventional bare overhead and underground shielded cable. Finally, it outlines the design gates and specification points that keep a project aligned from concept through commissioning.
Amazon is re-hiring former workers back into AI and cloud roles
The company is investigating the impacts of its office-working mandates
Despite 30,000 layoffs in the past year, Amazon continues to hire for certain roles
Amazon is reportedly trying to re-hire old workers, including many who were affected by previous rounds of layoffs.
Recruiter emails cited by Business Insider reveal that rather than filling roles that have emerged following layoffs, the company is actually targeting specific ex-workers it seems, with the company’s cloud computing business predominantly seeing these hiring efforts.
AWS, cloud computing, AI, ML and agentic AI are apparently the focus of these efforts, with one recruiter reportedly referring to the scheme as ‘Swami’s Boomerang Reengagement Initiative’ – Swami Sivasubramanian is a VP for AWS Agentic AI.
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Amazon is re-hiring ex-workers back into the company
The company is also said to be making it easier for former employees to return, offering shortened interview processes that may skip over some of the screening steps that aren’t all that necessary.
Besides trying to attract former talent, Business Insider also reports that Amazon is digging deeper into why they left, and the potential impacts of its return-to-office (RTO) mandates. Specifically, the tech giant wants to know whether the RTO changes were behind some ex-workers’ departures.
While company spokesperson Haley Silva told the publication that Amazon isn’t specifically targeting people who left because of the RTO and that its in-office expectations haven’t changed, it’s an interesting perspective from a company that went pretty much all-in on the RTO years ago in a bid to drive more in-person collaboration and to boost productivity.
All of this comes in the wake of major ongoing layoffs – the company fired around 30,000 workers just in the past year. But it’s apparently all part of a broader shift in focus, because instead of cutting headcount as aggressively as that 30k figure suggests, Amazon’s more likely looking to lose workers in certain areas of the business and gain workers in more important areas.
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For decades, banking technology has been built around a simple sequence: a person makes a financial decision and the bank’s technology processes it. A customer decides to open an account, move money into savings or apply for a loan, and the bank’s systems execute that instruction.
Artificial intelligence can potentially reverse that sequence. Instead of waiting for a human to specify an action, AI can interpret the person’s goals, understand the financial context around that goal, and determine what happens next. It could recognize that a customer is likely to face a cash shortfall, identify the available ways to address it, and potentially execute the appropriate action.
Dmitry Volkov
Founder of Molit.ai and Social Discovery Ventures.
McKinsey estimates that generative AI could create $200 billion to $340 billion in annual value for the banking industry. Yet much of the industry is adding AI to systems designed for the old model, not rebuilding the model around AI.
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The problem is that AI inherits the same product silos and process boundaries. Banks gain another layer of technology, but not the cross-system decision-making needed to realize AI’s full potential.
The first wave is still about better processes
The most visible applications of AI in banking are often the easiest ones to deploy. Banks are using AI tools to improve customer service, automate fraud detection, personalize recommendations, summarize documents and accelerate credit decisions. Lloyds Banking Group, for example, says more than 50 AI use cases were rolled out across the group in 2025, generating around £50 million in value, with more than £100 million in additional value expected in 2026.
McKinsey has made a similar observation based on the industry’s experience with generative AI. Simply adding AI on top of existing processes will not produce transformational change and can instead create another layer of technical debt.
The difference between an AI-native architecture and a chatbot attached to an existing system can be tested with three questions.
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Is the AI following a fixed sequence of instructions, or can it choose and coordinate actions within a defined system of guardrails, trusted data sources and approved tools?
Is the process designed for the agent to act, with human review and every decision recorded for analysis?
And are permissions, monitoring and regulatory controls built into the workflow, particularly for critical functions such as compliance and fraud prevention?
If the answer is no, the company has added an AI interface without redesigning the underlying process.
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From products to outcomes
The more significant transformation begins when the bank starts with the customer’s objective, not with the banking product.
Consider a customer who wants to maintain a certain level of liquidity while earning as much as possible on excess cash. An intelligent banking system could continuously monitor their balance, upcoming payments, income, available credit and other relevant information, then determine whether money should remain liquid, be invested elsewhere or be used to reduce borrowing.
While the system can continue making decisions as the customer’s circumstances change, that does not require customers to surrender control immediately. Adoption can begin with low-risk actions, such as moving excess cash into savings or setting aside VAT for future tax payments, before expanding into more consequential decisions.
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This is already beginning to appear in financial institutions, although mostly in bounded applications. Deutsche Bank, for example, has deployed an agentic AI system for third-party risk management in which several AI agents retrieve relevant controls, analyze supporting documentation, and propose assessment outcomes. Human assessors remain responsible for reviewing or overriding those recommendations.
Like a new employee, an AI agent should receive defined permissions. Transparent activity logs, alerts, approval thresholds and the ability to override decisions would make that principle visible in the product and enforceable by regulators.
The bank becomes a continuous decision system
Under this premise, the bank becomes an intelligent execution layer that continuously manages financial activity to accomplish a defined objective.
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This shifting structure is also visible outside traditional banking. Visa and Mastercard are both building infrastructure for AI-initiated payments, allowing agents to act on behalf of consumers and businesses. Visa Intelligent Commerce is designed to let AI agents find and purchase products on a user’s behalf, with tokenized credentials, authentication and spending controls built into the payment flow.
As agents move from recommending actions to executing them, banks will need to ensure transactions remain within the customer’s intent and risk tolerance. The institution remains responsible for keeping the agent within those limits.
The architecture has to change with the AI
Deloitte found that integration with existing systems and tools is the top modernization challenge for 77 percent of banking executives deploying AI, ahead of security, compliance and cloud interoperability concerns.
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Traditional banking systems separate payments, lending, accounts and compliance across different applications. AI agents need to work across those boundaries, combining data and actions from several systems to make a single decision.
Banks therefore need an orchestration layer that allows AI to access those systems without requiring another custom integration for every use case. The core platforms can remain systems of record, while more of the decision-making happens above them.
This gives AI-forward fintechs such as Revolut or Ramp, as well as new entrants designing their infrastructure from scratch, an advantage over institutions that must retrofit deeply embedded systems. If regulation remains broadly unchanged, the first major financial institution built around continuous decision-making could emerge within five years.
It may not be a bank in the strict regulatory sense, but it could perform an increasing share of a bank’s functions, allowing customers to manage their finances.
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To thrive, I believe banks need to become institutions organized to make continuous decisions for the customer’s benefit, not simply to follow instructions. And when it comes to AI, they must stop treating it as a fancy tool to add and start treating it as something to build around.
This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.
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When NASA’s Artemis II mission put humans at the far side of the moon for the first time in 44 years, it often felt like we were there in the capsule with astronauts Victor Glover, Christina Koch, Jeremy Hansen and Reid Wiseman. That’s almost entirely due to the frequent transmission of imagery from the flight, from live feeds to high-resolution photos that let us look at the moon and life in space like never before.
But getting those photos and videos isn’t as easy as tossing a camera in a bag for an Earth-bound vacation. To capture the high-resolution images that made us gasp here on the ground, the astronauts shot with Nikon DSLR and mirrorless cameras. Artemis II used GoPro Hero4 cameras for interior and exterior video feeds, and the crew took many notable photos inside the capsule using iPhone 17 Pro Max phones.
As NASA moves toward the Artemis III mission in 2027 and an expected moon landing in 2028 there will undoubtedly be a huge demand to document and share everything that goes on. To get a better understanding of what’s involved with making sure astronauts can capture those historical and candid moments, I spoke to Michael Corrado, Nikon senior manager of Pro Services.
“Just to see these pictures come back from space, we couldn’t be more humbled as a company,” Corrado said. “And as an individual, my dad was part of the space program… so it’s in the legacy here.”
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NASA astronauts Christina Koch (below) and Victor Glover (above) share a window inside the Orion spacecraft during the sixth day of the Artemis II mission. Flight Day 6 was the crew’s lunar flyby day, during which they rotated roles taking photos, making annotations, and recording their observations of the lunar surface.
Corrado also walked me through the rigorous process NASA requires to certify equipment for space travel, why astronauts primarily rely on decade-old tech and how future flights will look different.
It also struck me that even these Nikon professionals, who have worked with NASA astronauts and teams for decades, were still gobsmacked by the imagery that comes back. “We were just sitting there in awe of what we were seeing every day,” Corrado said.
How to launch a camera into space
The Artemis II vehicle – the Orion spacecraft and Integrity capsule – represented some of the latest space flight technology, but not all of the cameras were cutting-edge.
For video, NASA used several GoPro Hero4 cameras mounted inside and outside the Artemis II spacecraft, a compact action camera model that came out in 2014.
The workhorse of the mission was the Nikon D5 DSLR, a model first introduced to the consumer market in 2016. Also on the flight was the half-decade-old Nikon Z9 mirrorless camera body, introduced in 2021.
A photographer here on Earth might pass over the Nikon D5 as an outdated camera, but Corrado suggests that NASA doesn’t view it as “old technology.”
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“I’d use the word ‘trusted’ technology more than anything,” quipped Corrado.
Artemis II commander, Reid Wiseman and Canadian Space Agency mission specialist, Jeremy Hansen (background), training in a mockup of the Orion capsule at NASA’s Johnson Space Center in July 2025.
James Blair/NASA – JSC
Nikon’s cameras are the only ones fully certified to fly on NASA missions, a spot on the equipment roster the company has maintained since the later Apollo missions in the 1970s. Of the Artemis II lineup, only the Nikon D5 carries the certification badge; the Nikon Z9 is still being evaluated – in that case under real-world conditions.
Certification is as much about safety as it is about performance. Camera batteries can be flammable, and flame is the last thing you want in a space capsule.
But the camera’s electronics also need to be shielded against radiation. We enjoy a buffer from Earth’s atmosphere, but radiation in open space is another matter. So, although the cameras on the mission are mostly stock models, they’ve been reinforced with internal shielding.
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“Back in the day, we used to strip things off the camera [like] the leather,” Corrado said, referring to the missions in the 1970s. “They were almost naked cameras that went up. But none of that has to happen with the D5 and the Z9.”
There also wasn’t a lot of equipment. When I go out to shoot a sunrise, I’ll typically bring a backup camera in case something goes wrong with my main body. Traveling 250,000 miles from the nearest camera store, I’d expect there to be backups, but since weight is such an issue during spaceflight, Corrado noted that no backup bodies accompanied the astronauts on Artemis II.
Getting the shot in-camera, in-capsule
Today’s cameras are advanced enough that their automatic modes can cover almost any photo situation, and if a shot isn’t quite right we can edit it easily in software. In a dark scene, for example, a camera will increase the ISO to compensate and introduce digital noise, which can then be cleaned up in Lightroom.
The photos that came back from the Artemis II mission, though, revealed that the astronauts never leaned on that type of automatic crutch. The dark shots – it’s space, after all – sometimes had high ISOs but not to the point of introducing excessive noise.
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Photographic documentation of Artemis Lunar Imaging Orion Crew Configuration with Victor Glover, Christina Koch and Andre Douglas
In an extremely harsh lighting environment, they knew how to take advantage of the wide dynamic range of the D5 and Z9 cameras to avoid moon surfaces blown out too white to preserve surface details. Photos from the dark side of the moon, the first captured in 55 years, reveal formations that scientists will be studying for years.
One of my favorite images is a shot of the back of the moon with the Earth rising behind it. You can see details of clouds and the peaks of continents on the illuminated portion of the planet, versus a sliver of bright white like you’d get when taking a snapshot of the moon from your backyard.
Earth sets at 6:41 p.m. EDT, April 6, 2026, over the Moon’s curved limb in this photo captured by the Artemis II crew during their journey around the far side of the Moon.
Keep in mind that the images NASA published during the mission are the ones captured in-camera, not edited raw images, again demonstrating the astronauts’ photographic skills.
HULC-ing out with the Nikon Z9
After years of service, the Nikon D5 is likely looking at NASA retirement. “We worked for years to get the D5 certified for use in space,” Corrado said, “and now it has probably seen its last launch.”
The Z9 is taking over for the future, which means it’s currently going through the official certification process even though it’s been around the moon.
In fact, Artemis wasn’t the first time the Z9 has gone to space. Astronaut Don Pettit used it for about eight months on the International Space Station. Corrado said there are currently 20 Nikon Z9 cameras on the ISS.
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NASA astronaut and Artemis II mission specialist Christina Koch, seen here on the fourth day of the mission, prepping for lunar flyby activities after completing aerobic exercise on the flywheel device. Photo captured on a Nikon Z9 mirrorless camera.
“Life is different when you wake up to an email that you think is spam that says ‘Greetings from orbit’,” said Corrado. Pettit’s real-(off)-world experience and questions made their way to Nikon’s engineers. He noted that the feedback typically results in firmware changes specific for NASA.
The hardened Z9 that will reach the lunar surface in 2028 will be wrapped in a thermal blanket as part of a system called the Handheld Universal Lunar Camera (HULC). The cover will protect the camera from the moon’s extreme temperature fluctuations.
Looking to the next moonshot
It’s not fair to see the visual riches of the existing Artemis II photos and still have a wishlist, but I think depth is one element missing. Wiseman talked about witnessing land formations on the moon’s surface, saying, “It’s just everything from the training but in three dimensions and absolutely unbelievable.”
The Artemis II crew captures a portion of the Moon coming into view along the terminator – the boundary between lunar day and night – where low-angle sunlight casts long, dramatic shadows across the surface.
That makes me wish the crew had captured footage using the Spatial Video feature on their iPhones (I’ve found no evidence that they did). Imagine putting on an Apple Vision Pro and seeing the moon in an immersive way that’s even closer to what the astronauts experienced.
Stereoscopic footage could be recorded in the future, though. Nikon is working on a depth camera, for which it was granted a patent in 2025. “We’re still working with NASA very closely… together on these technologies,” Corrado said.
No matter what form the future images from Artemis III and future Artemis flights take, they’re sure to be stunning thanks to the astronauts’ training and the crews at Nikon and NASA working to equip them with the hardened camera equipment the missions require.
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Jeff Carlson
Senior Writer
Jeff Carlson writes about mobile technology at CNET, from cellular phone plans to devices and emerging technology.
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You will almost certainly have heard many business and technology leaders extolling the virtue of AI. They will enthusiastically tell you that the technology will have a transformative impact on businesses across the globe.
I think they are right. However, with two important caveats: AI must be given the right jobs, and the people using it must trust what it does.
Too often, AI is deployed across a business without much thought, as overconfident bosses assign agents tasks it isn’t designed for. The problem this creates is that many employees using AI tools every day are not yet prepared for their new role in managing these agents. Trust only comes from experience and that builds over time.
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Luis Blando
Chief Product & Technology Officer at OutSystems.
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When an AI system provides you with results that make sense and actually helps with your work, people start to feel more confident in using it. But if it makes a mistake, that confidence can be lost in an instant. If things go wrong, employees start finding ways around AI or stop using it altogether, and when leaders ignore employee concerns about making AI work better, its benefits are undermined.
The best way to ensure that AI delivers the efficiencies it promises is to ensure that it is doing the right job, and this isn’t as straightforward as it sounds.
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The areas where AI excels
AI works on probabilities, producing answers that are likely to be right. The key word here is ‘likely’, which is why it occasionally hallucinates.
Being probabilistic makes AI very effective when dealing with unclear or complicated information. But it’s not the best fit for tasks where a wrong answer could have serious consequences.
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There are three core areas where AI really can make a difference. Firstly, when processing documents; secondly, decision support; and finally, personalization.
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AI is especially effective at tasks involving many documents. It can extract, classify and summarize information that would normally take humans many hours to review. For example, an AI system could compare contracts against a standard set of clauses, or organize a large collection of customer emails by the issues they concern. This way, a person only has to look at the important findings instead of reviewing entire documents.
AI can also play a key role in supporting company executives to make decisions, as it’s very good at taking lots of different pieces of information, finding patterns and delivering options as to what to do next.
It is, however, important to remember that AI is not always the right technology to make that decision. For example, imagine you’re buying something and have to choose among many different suppliers.
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AI can look at all the information, like how well they’ve done in the past, what they can deliver, how quickly it is likely to arrive and whether the supplier offers discounts for repeat purchases. It can even articulate why one option might be better than another. In most scenarios, though, it is the human who makes the final choice.
For some businesses, personalization is a promising tool, as AI can be used to make products more relevant to the individual using them. This is an area where working with probabilities can become a key driver for AI. The content only has to be good enough to make that connection so the recipient feels they are being addressed in a bespoke way.
The cost of assigning AI the wrong job
One of the key concerns companies should have about managing AI is that while AI-generated answers can sound assured, there is still a possibility that the technology has got something wrong. If that answer is allowed to trigger action without validation, a small error can travel rapidly through a workflow.
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Think about what happens when someone makes a small mistake with a rule or detail in a contract. By the time someone catches the error, it may have already been added to records, sent to people outside the company, or even used to create new software.
To remind myself of AI’s limitations, I find it useful to think of the technology as the equivalent of a super-intelligent, hard-working intern. Interns need guidance and oversight, which should be provided by experienced, knowledgeable colleagues. Crucially, their access to sensitive information needs to be limited and granted only as they demonstrate they can make sound decisions.
AI needs to be managed in the same way. It should only be given greater levels of control when it has proved itself, and then its work must still be monitored by humans.
A good example of the importance of managing AI is its role in software development. AI can deliver a lot of code quickly, but its fast pace means the quality isn’t always the same as that of human developers.
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In fact, managing large amounts of AI-generated code can be a real headache for IT professionals. For example, surging token consumption and a shift to consumption-based pricing is ballooning AI coding costs, forcing developers to be selective on when and where they apply AI models, as reported by Gartner.
Let AI help design the model, not control the machinery
The most important design decision is where AI is allowed to reason. The riskiest place is deep in the implementation layer, where a small mistake can cause big problems that are hard to fix.
I believe a sound approach is to use AI to work with business ideas and rules. This way, it’s easier for people to check and understand what the AI is suggesting.
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Domain-specific languages and other abstractions used in model-driven development can provide that separation. AI helps create or refine a high-level application model, while a developer then validates the model before a deterministic platform transforms it into executable software.
AI can suggest how something should be done, but it doesn’t have to be responsible for executing every step.
Abstraction helps developers, and in agent-driven systems it becomes a control tool. It simplifies complex systems and prevents small errors from becoming big problems, making AI output easier to test and fix.
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Human expertise is becoming more valuable, not less
As AI becomes more prevalent, developers’ roles will evolve. They will still write code, but a larger part of their role will be overseeing systems, checking outputs and catching mistakes, a change that brings with it the opportunity to learn new skills.
Developers will increasingly work at the level of systems and architecture, understanding the business rationale, recognizing patterns and judging whether AI-generated code fits the wider application and holds together.
One company that has innovated in this area and is already reaping the rewards for their experience is Ford. They recently hired 350 experienced engineers to help train younger colleagues and improve their AI and automation tools.
The shift was driven by the fact that the AI tools weren’t producing the results they wanted without the expertise brought by seasoned professionals. Now, these experienced engineers act as internal auditors, reviewing designs and finding potential problems before they become major issues on the factory floor.
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When you combine AI’s ability to recognize patterns and process information with human knowledge and experience, it becomes a much more powerful tool. This combination is what makes it truly effective, not just relying on one or the other.
Building trust
Enterprises should also resist the pressure to deploy agents everywhere simply because competitors appear to be doing so. When it comes to using AI, leaders need to think carefully about each situation.
They should ask themselves three important questions. First, are they asking AI to only suggest what to do or to actually do it? Next, can someone check and fix what the AI says before an error spreads? Finally, what would happen if the system is certain about something but is actually wrong?
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The answers play a big role in deciding how much freedom to give the technology. For example, a tool that summarizes documents might only need a quick check, but a system that suggests business decisions needs someone’s logged approval.
When companies start using AI for specific, practical tasks, it shows employees that it can really make a difference in their work. This approach gives the company a chance to get its data, rules and processes in order. If people can see that the system is working well, and they understand what it can and can’t do, they start to trust it more. Over time, this trust grows.
The key is to create a work setup where humans and machines do what they’re good at. AI is great at processing large volumes of information and surfacing patterns. People are good at understanding the bigger picture, pointing out mistakes, and taking responsibility for their actions.
The wrong job to give to AI is any task where a mistake carries real consequences, no one checks the work before it causes harm, or the system sounds certain while being wrong. Companies that respect this division will build the confidence to give agentic AI greater autonomy over time. Those who ignore it may discover that a single poorly chosen task can undermine their entire AI strategy.
This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit
The significance of residual hormone production may decrease over time. Still, says Walter Rocca, a professor of epidemiology and neurology at the Mayo Clinic, that doesn’t mean the ovary has become unimportant.
“I am convinced until proven otherwise that removing ovaries even after menopause is not advisable,” he says, with a caveat for women at an increased risk of ovarian cancer.
Just how long that importance persists after menopause is still an open question, says Stephanie Faubion, medical director of the Menopause Society. It’s also unclear, she says, how much the answer may vary from woman to woman. “We just have huge gaps,” she says.
Duncan’s work suggests one reason the importance of the postmenopausal ovary may change over time. In analyzing human ovaries, the team found that protein patterns in older ovaries suggested that the ovary becomes a more inflammatory environment. To better understand what may be driving those changes, they looked more closely at the ovaries of mice. The research, published in June in the journal Molecular Human Reproduction, suggests that the ovary may eventually take on a completely new identity after menopause.
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The team compared the ovaries of two-month-old mice, reproductively old 18-month-old mice, and post-reproductive 24-month-old mice, and found that over time, the genes linked to inflammation and immune activity became far more active. The number of immune cells in the ovary also increased. While research on mice does not always translate to humans, it could help to explain the molecular changes Duncan observed in human ovaries.
“We think that a lot of those changes may make the ovary more prone to age-related diseases like ovarian cancer,” says Birgit Schilling, an aging researcher at the Buck Institute for Research on Aging who collaborated with Duncan on the human ovary work, which has been published as a preprint. After menopause, the risk of a host of conditions goes up, including stroke, heart disease, and osteoporosis.
Other organs undergo immune remodeling with time, but the ovary ages long before most other organs. Duncan’s work raises the question of whether at some point, the benefits of keeping the ovaries may be outstripped by the risk: As the aging ovary becomes more inflammatory, she wonders whether it may begin broadcasting inflammatory signals to other parts of the body.
David Pépin is probing another possibility: that as follicles that house growing eggs disappear, the ovary may also reorganize to preserve hormone production. Pépin, a reproductive biologist at Massachusetts General Hospital and Harvard Medical School, found that years after cats were given an experimental birth-control gene therapy that prevented their follicles from maturing, the cats were still producing the hormones estrogen, testosterone, and inhibin at completely normal levels.
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Follicles drive much of the hormone production during a reproductive cycle; without them, hormone levels should have fallen. In preliminary work he has publicly presented but not yet published, Pépin’s team found that when the ovaries were eventually removed, other cells in the ovary—the stroma—appeared to have taken over hormone production. Pilot studies in mice suggest a similar effect. Pépin thinks he may have tapped into a natural mechanism that helps maintain hormone production as follicles wane. It’s long been hypothesized that the stroma may be responsible for some of the human ovary’s postmenopausal hormone production.
Estrogen, he says, is not the only hormone that plays a role in menopause. “We know so little about how the other ovarian hormones that are disrupted at menopause may contribute to health,” he says. “It is not a dead organ.”
OpenAI agent breached Australia’s Medicare portal on June 18, 2026, accessing internal files
Government says no personal medical data was taken, but three other agencies may be affected
PM Albanese slammed OpenAI’s 84‑day delay in disclosure, calling the notification “unacceptable” and warning of legal consequences
An OpenAI agent has allegedly broken into a website of the Australian government, which has slammed the “unacceptable” attack, promising an in-depth investigation, and threatening “legal consequences”.
Australian Prime Minister Anthony Albanese revealed how in June 2026, OpenAI’s research team tasked the agent with researching public medicine spending, as part of an internal capability evaluation – but as the agent got to work, it was initially denied access to some of the information it requested.
However, instead of stopping, or trying to find a different lawful way of obtaining this data, it circumvented those restrictions and landed inside the infrastructure behind Services Australia’s public-facing Medicare Statistics Reporting Service portal.
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AI agent did what?
The public details are still quite limited, and we don’t know the technicalities of what the AI actually did.
The acting prime minister, Richard Marles, told the media during a recent press conference that the AI “scaled the fence”, despite the portal having security measures in place.
The bot apparently accessed internal infrastructure and wrote files to an internal server but exactly what it wrote, how it obtained the access, and precisely which technical mechanism it used, is still not public knowledge.
Once inside, it accessed both public and non-public files, but individual medical data was not accessed and the system itself was not compromised, the Australian government said.
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There is also the possibility that three other government systems were affected – the Australian Institute of Health and Welfare and two state-based agencies – the New South Wales Bureau of Crime Statistics and Research and the Victorian Department of Health. However, this has not been confirmed yet.
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“No personal information is believed to have been accessed at this stage, but investigations are ongoing,” Albanese said. “Nonetheless this situation is obviously unacceptable.”
OpenAI’s sluggish escalation
Albanese was particularly unsatisfied with how OpenAI handled the situation. The breach happened on June 18, but it took the company 84 days to notify the Australian government of the incident. And when it did – it did so in a manner better suited for an amateurish start-up rather than one of the most important organizations on the planet right now.
OpenAI was apparently evaluating its models, and investigating “misaligned model activity” when, on August 11, it discovered the breach in Australia. It seems the AI agent simply did not take “no” for an answer. The company then notified Services Australia on September 10 – almost three months after the incident. To make matters worse, the company reached out via publicdisclosures@servicesaustralia.gov.au, inbox researchers usually use to report potential vulnerabilities, instead of trying to escalate the incident higher.
Services Australia reviewed the information and notified the Australian Signals Directorate on September 15.
When the news reached prime minister Anthony Albanese, he spoke to OpenAI CEO, Sam Altman, and expressed the country’s “extreme concern” about this incident, as well as his “disappointment that it took the company way too long to inform the government what had occurred.” He also pointed out the way OpenAI reached out: “The notification was an email sent just to the public mailbox.” Albanese described the “nature of the notification” as “unacceptable.”
The Australian government is now looking into the matter to see if any laws were broken and what legal consequences, if any, could follow.
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“And obviously we will investigate all of that. What the consequences are, if there has been a breach of the law, but also part of the task force is to assess whether or not the legal regime we have in place is fit–for–purpose in a world where we have an emerging AI capability,” Marles said.
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