OpenAI Frontier lets enterprises manage OpenAI, proprietary and third-party agents
Each AI agent gets its own unique identity, permissions and guardrails
The company sees this as a collaborative approach
OpenAI has launched Frontier, a new AI agent management platform where enterprise customers can build, deploy and manage agentic AI from both OpenAI and third-party companies.
In its announcement, the ChatGPT-maker hinted Frontier is designed to address agent sprawl where fragmented tools, siloed data and disconnected workflows reduce the efficacy of AI agents.
“Frontier gives agents the same skills people need to succeed at work: shared context, onboarding, hands-on learning with feedback, and clear permissions and boundaries,” the company said.
OpenAI launches AI agent manager platform – Frontier
Speaking about siloed data and fragmented tools, OpenAI said AI isn’t responsible, but rather it amplified a problem that already existed before: “AI made that fragmentation more visible, and in many cases, more acute.”
The company took a human approach to managing AI agents, considering what employees need to get started and then applying those same principles to AI agents.
Frontier is designed to let agents work across various environments, including local, cloud and OpenAI-hosted, but more importantly, it uses open standards so companies can use OpenAI agents, in-house agents and third-party agents within this one platform.
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The system broadly works by giving each AI agent its own unique identity, which includes permissions and guardrails, minimizing concerns about working within regulated environments.
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Apart from early adopters like Intuit, HP, Oracle and Uber which helped to guide OpenAI’s project, the company has also set out plans to work with Frontier Partners like Abridge, Clay, Ambience, Decagon, Harvey and Sierra to “learn what customers need.”
Gushi Cliff Coffee is located on a cliffside overlooking the surf pounding against the shore of Fuzhou, Fujian, in southern China. Crowds of people sit on small little platforms embedded straight into the side of the cliff, 70 meters above the thundering surf, with a view out over the water to the Taiwan Strait, where the islands of Matsu appear as a distant collection of small little lights in the night sky.
Getting to this secluded location is not easy. First, you must enroll in a guided tour that will lead you through some metal rungs and cables for around 30 minutes until, with a few butterflies in your stomach, you take the plunge and are lowered down into the lounging area via a supervised rappel. The organization will offer you with all of the appropriate equipment, including harnesses, helmets, ropes, and, of course, a safety coach who will accompany you throughout your descent. You should keep in mind that you cannot simply go into this establishment without first booking a reservation.
Gushi was founded by Xue Ke and opened in 2024, but it appears to have existed for much longer. Xue Ke was drawn to the picturesque scenery snuggled between the mountains and the river. What do you get for 398 yuan, or around $58? Well, for that price, you’ll not only get a cup of coffee, which is usually pre-brewed and ready-to-drink, but you’ll also get insurance, all of the equipment rental, a guide to teach you the ropes, and, to top it all off, a photo shoot where you can hang your legs over the edge.
People come here for the excitement and the coffee, with some even calling it a bucket-list experience, while others see it as an excellent opportunity to get the perfect photo for social media. The stats range; on any given day of the week, save for weekends and holidays. The cafe attracts thrill-seekers from all across China and beyond, and what appears to be a simple cup of coffee becomes an unforgettable experience. [Source]
Ultra-thin phones were the thing in 2025. It felt like every big player in the smartphone market wanted to show off just how much engineering wizardry they could cram into something barely thicker than a USB-C port.
But barely a year later, the tides are already shifting. Samsung revealed the S26 range last week without the rumoured upgraded Edge variant, and rumours suggest the iPhone Air won’t get an upgrade this year either (though Apple is still working on an upgrade, apparently).
Honestly, it makes sense. As lovely as these phones are to hold, they come with some very real compromises.
The big problem with ultra-thin phones
Don’t get me wrong, devices like the iPhone Air and Samsung Galaxy S25 Edge are gorgeous bits of kit. Picking one up feels like a throwback to the days when phones felt light and slim, able to slip into a pocket and practically disappear – a stark difference to most 2026 flagships.
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In daily use, that slimness is genuinely refreshing, and the novelty never really wore off for me – but then there’s the ugly side of ultra-slims to consider.
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Image Credit (Trusted Reviews)
Camera hardware, for one, has generally taken a hit. The iPhone Air’s single rear camera is a perfect example; it’s fine for everyday photos, but it doesn’t exactly scream premium flagship when phones that cost hundreds less – including Apple’s own iPhone 17 – offer a wider selection of lenses.
It’s mainly down to constraints in size; telephoto lenses in particular need space to operate, something that comes at an extreme premium in ultra-thin phones.
Then there’s arguably the bigger problem, battery life. You can only fit so much cell into a wafer-thin chassis, and that results in more charging, more battery anxiety, and less of that all-day flagship confidence we’ve come to expect over the past few years.
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Image Credit (Trusted Reviews)
That’s the trade-off; you’re paying top-tier prices for a device that, in some areas, feels like a massive step backwards. It’s a hard sell, and probably the main driver behind Samsung’s apparent abandonment of the Edge brand.
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Tecno’s modular tech could be the fix
Then along comes Tecno at MWC 2026 that genuinely made me stop and stare.
The concept Atom device it showed off uses what it calls Modular Magnetic Interconnection tech, and at just 4.99mm thick, it’s thinner than basically anything else on the show floor.
Image Credit (Trusted Reviews)
As you’d expect, it feels stunning in the hand, and almost shockingly light. I actually assumed it was just a dummy model until I flipped the phone around and saw a fully working version of Android running on-screen.
But this isn’t just another thin phone; it’s a thin phone that can bulk up when you need it to.
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Image Credit (Trusted Reviews)
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Tecno’s idea is so simple that I’m kinda surprised that Samsung and Apple didn’t come up with something similar; keep the device ultra-thin, then let users attach the hardware they need when they need it.
Want a proper zoom for a day of sightseeing? Snap on a telephoto camera module. Heading out and worried about battery? Click on an integrated battery pack. There was even a dedicated microphone module with a wind shield on display, ideal for content creators.
Image Credit (Trusted Reviews)
Some accessories attach directly to the camera housing, while others snap on just below it using hidden magnets, while others utilise the POGO system at the bottom of the device. The stand at MWC had a whole ecosystem of accessories you could snap on and try, and suddenly the concept made a lot of sense.
Instead of permanently compromising the phone’s design for features you’ll only occasionally use, you pick and choose. Slim and minimal most of the time, and more feature-packed when you need it.
Image Credit (Trusted Reviews)
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Not quite ready just yet
Of course, there’s a catch – there’s always a catch.
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This is still very much just a concept. Tecno hasn’t confirmed any wider release plans, and the magnetic system, while clever, didn’t feel quite as secure as you’d want for everyday, on-the-go use. Stronger magnets and more refined attachments will be crucial if this is going to survive outside of a trade show demo.
Image Credit (Trusted Reviews)
But that’s the thing about concepts; they show the direction that the industry is headed. And right now, modular ultra-thin designs feel like a far more exciting direction than simply shaving off another 0.2mm and pretending the compromises simply don’t exist.
If ultra-thin phones are going to have a true resurgence, they need to stop asking us to give things up. Now we just need someone to bring it to market before the ultra-thin movement disappears entirely.
Filing taxes is painful enough that many people would happily hand the job to a robot. In the age of generative AI, where chatbots can crank out a decent-sounding school essay in under a minute, it’s tempting to think your tax return could be next.
There’s just one small problem. The Internal Revenue Service expects financial data to be accurate, not just “close enough.”
I asked some tax experts whether you should have a general-purpose AI chatbot like ChatGPT, Claude, Gemini or Perplexity do your taxes for you. The answer was clear.
“I don’t recommend that at all,” said Travis Thompson, a tax attorney and director in the business and finance group at the firm Fennemore.
“My advice would be no,” said Sterling Raskie, senior lecturer of finance at the University of Illinois Urbana-Champaign.
Tax season makes everyone look for shortcuts. Federal income tax returns are nightmarish and complicated — and that’s exactly what makes them unsuited for a chatbot. AI is very good at sounding right even when it’s wrong.
Still, if you can’t afford to hire a trusted, trained human to help with your taxes, there are some things generative AI can be useful for during tax season.
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You can’t trust AI to be accurate
The capabilities of a generative AI model are impressive. But let’s remember that, at their core, these educated-guess machines are simply finding patterns and offering plausible results. They can’t distinguish approximation from the truth.
The numbers on your tax forms are expected to be correct, not simply ballpark. That’s why doing your taxes is such a pain, and also why we’re not supposed to take shortcuts. Mistakes can be costly to your refund, or you could face expensive repayments and fines, or worse.
“It’s important to keep in mind that if an AI chatbot provides incorrect guidance and a person uses it to file an incorrect tax return, they (the person) are responsible for infractions or violations, which could include penalties, interest, and lost refunds,” said Chris Linderwell, vice president of consumer tax products at H&R Block.
Some tax-specific AI tools are trained on and rely specifically on information about the tax code. But the generic one you use for menu planning or travel research is not one of those.
Chatbots manage data in the cloud, which is just a computer owned by a private company. They have “memory” features that can regurgitate information in unexpected ways. You may find yourself asking a totally unrelated question down the line and get a response that pulls from data in your tax documents. You probably don’t want that.
Be very careful about giving AI anything you want to keep private, like your tax information.
“You don’t want those numbers floating around the internet,” Thompson said.
How AI can help you with your taxes
Though you shouldn’t trust a large language model to fill out your tax forms, you can still use one as a beefed-up search engine for finding information, i.e., for educational purposes. Just make sure you verify its accuracy before relying on it.
I asked a representative from OpenAI, which makes ChatGPT, whether the chatbot is something taxpayers should use for filing. ChatGPT can’t access bank accounts, nor can it act as a licensed financial professional, lawyer, or accountant. “You should always review the ChatGPT output since it is not a replacement for a licensed professional,” the OpenAI rep said.
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But it can help with a basic gut-check or can point you in the right direction, like translating tax terms, preparing checklists or providing questions to ask your accountant. (Disclosure: Ziff Davis, CNET’s parent company, in 2025 filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.)
For example, AI can help you decide what to discuss with a tax pro, which documents you’ll need to process or even identify tax situations you might not have realized. What should you know if you made money from crypto? What’s the difference between married filing jointly and head of household?
Also, keep in mind that the quality of an AI answer doesn’t depend solely on the model, but also on how you ask the question. And repeating the same question multiple times may generate different answers, especially if you express an opinion or a tilt in how you ask (AI sycophancy is real). If outside links are provided in the results from AI, fact-check the findings against the original source, and make sure that the source is reputable.
Remember: You don’t know what you don’t know.
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“The less and less expertise you have in that field, the less and less you can trust those programs,” Thompson said. “It doesn’t just depend on what the program is saying; it depends on what the user is asking the program to say.”
Use a human when doing your taxes
Experts underline the importance of having a “human in the loop” for AI systems, whether they’re writing LinkedIn posts or handling critical personal information. Mistakes are the fault of the person who decided to go with the AI’s work, not the technology itself. Don’t blame the calculator if you did the math wrong.
Someone with judgment and accountability should make the final call. When it comes to a simple tax return, you could be that person.
Raskie said if you have a basic return and you trust yourself to be thorough and double-check the numbers, you should be able to file on your own. “Basic return” generally means you only earn W-2 income and take the standard deduction — no complex investments, itemized deductions or freelance work. You could fill out the forms yourself, following step-by-step instructions through the IRS’s free fillable online forms, or by using a free file software option.
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H&R Block online uses AI to help automate your filing by reviewing receipts and uploaded documents to prefill fields on your behalf. AI, in this sense, is a time-saver. But ultimately, you have to make sure the information is accurate.
Many at-home tax software programs offer defense services in the event of an audit or audit risk assessments before you file — but for an extra cost. H&R Block says it will give audit representation and even financial reimbursement (if they made the error).
“If you have any anxiety whatsoever, it’s worth its weight in gold to hire a licensed tax preparer professional to do your returns, primarily a CPA or what’s called an enrolled agent,” Thompson said.
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If you solicit the help of a trusted licensed professional, you might be able to turn to them if there’s a mistake on your return. You’ll still be responsible for paying the government what you owe, but you may be able to hold a tax preparer accountable in cases of fraud or some serious mistakes.
If you decide to trust a chatbot to do your tax return, be ready for an IRS audit. And don’t expect to blame AI.
This week we went to MWC and were treated to some major Nothing and Apple launches including the Apple MacBook Neo.
There’s a lot of news coming from the tech world this week, so we’ve had to bump or usual seven-story-long ICYMI to a whole nine articles, so we have no time to dilly-dally in this intro.
Samsung pulled off a neat trick with its Galaxy S26 Ultra. It’s not a reinvention and, at a glance, could be mistaken for the S25 Ultra. However, it made key updates to lenses, image processing, design, materials, and raw power that should please most Galaxy fans (all without raising the price). The new phone is also over-stuffed with AI, but certainly makes some of the best use of on-board Gemini. However, it’s two other bits of innovation that lift the S26 Ultra above all other Androids: Privacy Display and Super Steady Horizontal Hold. The former is the first smartphone hardware-based privacy screen, and the second, well, you have to try this “gimbal in your smartphone” to believe it.
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8. ChatGPT was cancelled over its Pentagon deal
(Image credit: Shutterstock)
Could ChatGPT one day power autonomous killing machines? That’s the question many are asking after OpenAI signed a deal with the Pentagon after Anthropic’s Claude was labelled a “supply chain risk” for making that one of two red lines in its rejected version of a similar deal.
OpenAI claims that it shares Anthropic’s belief that AI shouldn’t make the decision to kill a person, or be used for mass surveillance of US citizens, but leaks suggest its deal with the Pentagon is a little looser than Anthropic’s would have been — with OpenAI’s version saying the Pentagon must follow the law and its internal guidance, both of which could be changed by the US government and Pentagon officials in the future.
As a result users have abandoned ChatGPT in droves, and switched over to Anthropic’s AI in what appears to be a ringing endorsement of its AI ethics. Though as Anthropic is reportedly in talks to make a deal with the Pentagon after all we’ll have to wait and see if it too makes compromises.
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7. Somehow Xbox returned
(Image credit: Xbox)
If you told us the Xbox Series X / S was the last proper Xbox console — with future launches merely branded versions of other hardware like with the Xbox Meta Quest 3 and Asus Rog Xbox Ally X — we’d be inclined to believe you, but it seems a new Xbox is in fact in the works.
Three weeks after Asha Sharma replaced Phil Spencer as CEO of Xbox he teased new hardware codenamed Project Helix. He explained “Project Helix will lead in performance and play your Xbox and PC games,” suggesting it’ll be a PC console hybrid similar to Valve’s upcoming Steam Machine. This might also explain why Sony is abandoning its plans to release PlayStation games on PC; Xbox might not mind where you play its titles, but Sony clearly doesn’t want you to enjoy its games on Xbox consoles.
Little else is known about Helix for now, but the fact it’s coming at all is enough for now.
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6. Nothing made great sequel headphones
(Image credit: Nothing)
Nothing just unveiled its second pair of headphones, and they’re something of a miracle. The Nothing Headphone (a) are way cheaper than its first pair, the Headphone (1), yet are somehow a better pair of headphones. The sound is more expansive and fun, the battery life is so long that it’s basically the best of any headphones you can buy, and the design is way less divisive.
Despite all the improvements, they’re half the price of the earlier headphones in the UK, and are a third cheaper in the US. They’re the platonic ideal of what you want from the follow-up to a product that was a bit of a miss, and might rank among the best headphones of the year.
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5. Nothing released a new budget-phone, and it’s a hit
(Image credit: Nothing)
We reviewed the Nothing Phone (4a), the latest budget-friendly device from one of the most stylish tech brands around. In our four-star review, we raved about the (4a)’s stand-out look, which includes a fancy new Glyph Bar and array of attention-grabbing colorways.
This model’s more than just a pretty face, though. Its Qualcomm Snapdragon 7s Gen 4 processor delivers very solid performance indeed, and its streamlined UI is a joy to use. The (4a) also packs a higher resolution, brighter display, and larger battery than its predecessor. It’s not quite perfect, though – we had a few qualms about camera quality, and it would have been good to see wireless charging on-board.
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4. We saw the best of MWC
(Image credit: Xiaomi / MWC / Honor)
Another year, another Mobile World Congress; this year’s MWC was, as always, jam packed with mobile tech and we went through all of it to find the very best in show.
Honor, Nothing and Samsung impressed us with their smartphones, including the Honor Magic V6 — a new thinnest-ever foldable — and the Nothing Phone 4(a), which is still fun and affordable.
There were also some exciting concept designs which may never see the light of day but are award-worthy nonetheless, like the Lenovo ThinkBook Modular PC Concept.
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3. The mid-range iPhone 17e arrived to battle the Pixel 10a
(Image credit: Lance Ulanoff / Future)
It might lack the novelty and dazzle of the MacBook Neo, but the iPhone 17e might just be the most spectacularly sensible thing Apple announced this week. The mid-range phone is a modest update, with an A19 chip, new C1X modem and MagSafe charging being the main upgrades from the 16e.
But those quality-of-life upgrades all support the main headline here — the iPhone 17e costs the same as its predecessor, starting at $599 / £599 / AU$999. That’s a pretty good deal for upgraders who don’t mind missing out on an ultra-wide camera, and makes this phone a strong rival for the slightly cheaper Google Pixel 10a.
2. The iPad Air, MacBook Air and MacBook Pro all got refreshes
(Image credit: Lance Ulanoff / Future)
It was a huge week for Apple launches — and while the MacBook Neo was the only truly new release, we did also get spec bumps for three of its most popular products. The iPad Air M4 is effectively last year’s M3 model with a new chip (30% faster, apparently) and more modern connectivity including Wi-Fi 7.
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And if you’re in the market for a new MacBook, well done for waiting until March. The MacBook Air M5 now has Apple’s latest base chip, and it might just be the world’s best all-round laptop (if we can forgive it for that small price hike).
Lastly, the MacBook Pro is now available with M5 Pro and M5 Max chips, and even comes with 1TB storage as standard, though you may want to shield your eyes from its price tag. The M5 Max version starts at $3,599 / £3,599 / AU$5,799) — that’s the same as six MacBook Neos.
1. Apple revealed the US$599 MacBook Neo
(Image credit: Jacob Krol/Future)
It had been rumored for months, but it was still a surprise when Apple revealed its cheapest-ever MacBook this week. The MacBook Neo is a fun, colorful Chromebook rival that runs on an A18 Pro chip — and it starts at only $599 / £599 / AU$899.
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We haven’t yet fully tested the Neo to see how it performs, but our early impressions were good. In fact, we’ve already branded it “the most important product of 2026” so far, mainly because it’s landed in the context of a RAM price crisis and a dearth of compelling Chromebook rivals. Whether it’s also one of the best products of the year remains to be seen.
Styropyro has established a name for himself by pushing seemingly ordinary technology to its limits, and in this experiment, he demonstrates some of the fundamental physics at work in its most obvious form. He simply takes car ignition coils, the typical transformers that ignite a spark in your engine, and directs their output to a large blank circuit board.
Those car ignition coils can take a low battery voltage and provide a nice huge kick of tens of thousands of volts, exactly enough to bridge the gap that ignites your fuel in an engine. Styropyro has modified his coils to produce even more voltage than they normally would, and he has connected the high-voltage connections to a perfboard, which is a board with many holes and copper pads in a grid.
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The problem is that electricity prefers the shortest path to ground. If you’re out in the open, just take the shortest straight line and you’ll get a nice clean spark, but with a board like this in the mix, things change. The small copper rings and holes in a grid alter the game completely. Because each ring provides a lower-resistance path for the electricity to follow along the grid lines, which is much easier than jumping across empty space in a straight line. So the arc of electricity begins to spread out, making right-angle turns and following the grid lines as it travels.
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Threads of blazing light snaking across the surface form complicated, maze-like patterns. The reason these strange patterns appear is that the electricity is compelled to follow the longer path, which allows it to reach ground with the least amount of air to leap. It lingers like that for quite some time, hypnotizing you with its flashing, branching arcs against the static board.
Styropyro keeps things simple, with no special components on the board and no sophisticated drivers other than what pushes the coils themselves. It’s just a fast clip that highlights the moment when everything comes together rather than fussing with it for hours. The light from the arcs acts like a half-dozen tiny spotlights, illuminating every twist and turn of the paths they traverse, throwing crisp shadows and bringing the entire scene to life.
Can you remotely unlock an encrypted hard disk? [Jyn] needed to unlock their home server after it rebooted even if they weren’t home. Normally, they used Tailscale to remote in, but you can’t use tailscale to connect to the machine before the hard drive decrypts, right? Well, you can, sort of, and [Jyn] explains how.
The entertaining post points out something you probably knew, but never thought much about. When your Linux box boots, it starts a very tiny compressed Linux in RAM. On [Jyn’s] machine using Arch, this is the initramfs.
That’s not news, but because it is an actual limited Linux system (including systemd), you can add tools to it. In this case, adding dropbear (an ssh server) and Tailscale to the limited boot-time Linux.
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Doing this in the most straightforward way presents several issues related to security. However, using a few configuration items, you can limit it to showing the unlock screen and nothing else.
The only limitation is that the setup, as written, will only work with an Ethernet interface. WiFi should be possible, but getting the wireless network up in this environment would likely be challenging.
Coruna is also notable for its use by three distinct hacking groups. Google first detected its use in February of last year in an operation conducted by a “customer of a surveillance vendor.” The vulnerability exploited, tracked as CVE-2025-23222, had been patched 13 months earlier. In July 2025, a “suspected Russian espionage group” exploited CVE-2023-43000 in attacks planted on websites that were frequented by Ukrainian targets. Last December, when it was used by a “financially motivated threat actor from China,” Google was able to retrieve the complete exploit kit.
“How this proliferation occurred is unclear, but suggests an active market for ‘second hand’ zero-day exploits,” Google wrote. “Beyond these identified exploits, multiple threat actors have now acquired advanced exploitation techniques that can be re-used and modified with newly identified vulnerabilities.”
Google researchers went on to write:
We retrieved all the obfuscated exploits, including ending payloads. Upon further analysis, we noticed an instance where the actor deployed the debug version of the exploit kit, leaving in the clear all of the exploits, including their internal code names. That’s when we learned that the exploit kit was likely named Coruna internally. In total, we collected a few hundred samples covering a total of five full iOS exploit chains. The exploit kit is able to target various iPhone models running iOS version 13.0 (released in September 2019) up to version 17.2.1 (released in December 2023).
The 23 exploits, along with the code names and other information, are:
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Type
Codename
Targeted versions (inclusive)
Fixed versions
CVE
WebContent R/W
buffout
13 → 15.1.1
15.2
CVE-2021-30952
WebContent R/W
jacurutu
15.2 → 15.5
15.6
CVE-2022-48503
WebContent R/W
bluebird
15.6 → 16.1.2
16.2
No CVE
WebContent R/W
terrorbird
16.2 → 16.5.1
16.6
CVE-2023-43000
WebContent R/W
cassowary
16.6 → 17.2.1
16.7.5, 17.3
CVE-2024-23222
WebContent PAC bypass
breezy
13 → 14.x
?
No CVE
WebContent PAC bypass
breezy15
15 → 16.2
?
No CVE
WebContent PAC bypass
seedbell
16.3 → 16.5.1
?
No CVE
WebContent PAC bypass
seedbell_16_6
16.6 → 16.7.12
?
No CVE
WebContent PAC bypass
seedbell_17
17 → 17.2.1
?
No CVE
WebContent sandbox escape
IronLoader
16.0 → 16.3.116.4.0 (<= A12)
15.7.8, 16.5
CVE-2023-32409
WebContent sandbox escape
NeuronLoader
16.4.0 → 16.6.1 (A13-A16)
17.0
No CVE
PE
Neutron
13.X
14.2
CVE-2020-27932
PE (infoleak)
Dynamo
13.X
14.2
CVE-2020-27950
PE
Pendulum
14 → 14.4.x
14.7
No CVE
PE
Photon
14.5 → 15.7.6
15.7.7, 16.5.1
CVE-2023-32434
PE
Parallax
16.4 → 16.7
17.0
CVE-2023-41974
PE
Gruber
15.2 → 17.2.1
16.7.6, 17.3
No CVE
PPL Bypass
Quark
13.X
14.5
No CVE
PPL Bypass
Gallium
14.x
15.7.8, 16.6
CVE-2023-38606
PPL Bypass
Carbone
15.0 → 16.7.6
17.0
No CVE
PPL Bypass
Sparrow
17.0 → 17.3
16.7.6, 17.4
CVE-2024-23225
PPL Bypass
Rocket
17.1 → 17.4
16.7.8, 17.5
CVE-2024-23296
CISA is adding only three of the CVEs to its catalog. They are:
CVE-2021-30952 Apple Multiple Products Integer Overflow or Wraparound Vulnerability
CVE-2023-41974 Apple iOS and iPadOS Use-After-Free Vulnerability
CVE-2023-43000 Apple Multiple products Use-After-Free Vulnerability
CISA is directing agencies to “apply mitigations per vendor instructions, follow applicable… guidance for cloud services, or discontinue use of the product if mitigations are unavailable.” The agency went on to warn: “These types of vulnerabilities are frequent attack vectors for malicious cyber actors and pose significant risks to the federal enterprise.”
Modern-day receivers are miracles of digital audio and video processing, but compared to their more analog brethren, they can come with a host of new and fascinating faults. The Onkyo TX-SA806 and SR806 receivers were released back in 2008, with [Tony359] recently getting the latter variant in for repair. Described as having weird digital distortion on the audio outputs, this particular issue got fixed by recapping the PCB with all the digital processing in the first video on this receiver, but this left the second issue unaddressed of a persistent hum, which is the topic of the second video on this repair.
Capacitor C5662 in the Onkyo TX-SR608 receiver with a slight bulge.
With the easy fix of recapping of the digital board already tried, next was a deep-dive into the receiver’s schematics to figure out where this low-frequency hum was coming from. With it sounding very much like mains frequency hum bleeding through, this was the starting point. Presumably somewhere on the power rails the normal filtering had broken down, so all rails had to be identified and checked for this interference.
With ripple on the 10V and 12V rails as well as the others seemingly in order, it wasn’t clear where the 100 Hz hum was coming from, but people on the BadCaps forum offered some help. After some back and forth it was deduced that the problem was the +15 VA rail, with heavy ripple on it due to a dead capacitor on the +22 V rail that comes straight from a transformer.
For some reason Onkyo’s engineer and/or bean counters had decided that installing an 85°C electrolytic capacitor on the opposite PCB side of a bridge rectifier was a genius idea, which turned out to be not quite the case. With the capacitor eventually giving up on life, the mains hum was allowed to freely pass onto the analog voltage rail and from there into the outputs.
22 V rail of the Onkyo TX-SR608 receiver.
Of course, getting to the target C5662 capacitor was anything but easy, as these modern receivers are tightly packed sandwiches of PCBs, requiring basically a full disassembly. Upon getting to C5662 it was clear that the capacitor was bad, being visibly bulged. Despite being a quality Japanese Nichicon capacitor, such an abusive environment was simply too much. With more similarly poorly spec’ed capacitors at risk of the same fate, these were all replaced with 105°C rated electrolytics.
Perhaps unsurprisingly this fixed the mains hum on the outputs, returning this receiver back to full functionality. In some ways it’s good to know that even with these modern receivers the most typical fault is still due to electrolytic capacitors.
The Nuclear Regulatory Commission (NRC) gave TerraPower the go-ahead this week to build a new nuclear reactor in the shadow of an aging coal power plant in Wyoming.
TerraPower’s permit is the first to be issued by the NRC in nearly a decade. The startup — founded by Bill Gates in 2015 and backed by Nvidia — has been designing its Natrium reactor with GE Vernova Hitachi. The final power plant will generate 345 megawatts, which is about two-thirds smaller than modern full-size reactors, but multiple times larger than many small modular reactor designs favored by other startups.
Natrium differs from other reactors not just in scale, but also in the details of its design. Where most nuclear reactors built in the last 50 years have been cooled by water, Natrium is cooled by molten sodium, which TerraPower says should be safer. This is the first time a commercial reactor that is not cooled by regular water has been approved by the NRC in more than 40 years.
The reactor will operate with an excess of molten sodium, which will be stored in large, insulated tanks. This allows atoms to keep splitting when demand is low, with the hot sodium saving that energy, which can be used to fill in any lulls in wind and solar output. Since nuclear power plants operate best near full capacity, storing excess energy as heat should help lower generating costs.
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The NRC’s approval is notable because TerraPower followed the long-established permitting process, giving it permission to build on private property. The Department of Energy recently loosened its safety rules, but those regulations only apply to land owned by the agency.
TerraPower is one of nearly half a dozen nuclear startups backed by tech companies or their founders. As electricity demand from data centers grows, the Trump administration has come under pressure to boost generating capacity, including by building new nuclear reactors.
Investors have taken note of the two trends, and in recent months, they’ve showered nuclear startups with well over $1 billion in capital. TerraPower alone has raised a total of $1.7 billion, including a $650 million round that closed in June, according to PitchBook.
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Despite the momentum, nuclear power still faces an uphill battle. To date, nuclear has been one of the most expensive forms of new generating capacity. Part of that is due to cost overruns at massive power plants, but it also reflects the tremendous strides that solar, wind, and batteries have made in bringing costs down over the years.
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Nuclear startups are hoping to leverage mass manufacturing to rein in capital expenditures, but the theory has yet to be proven. And while manufacturing can help cut costs, it often takes at least a decade for the savings to materialize.