Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.
The Picus whitepaper shows how breach and attack simulation tests your SIEM and EDR rules so threats stop slipping by detection.
DevOps
Most software engineers now use AI for most of their code and fear the existential threat
A “state of Web Dev AI” survey shows that nearly
half of web developers worry AI will displace their jobs, with one stating “it will be devastating to our sector.”
The survey
of 7,258 developers is the second on this topic to be conducted by Devographics,
home of other surveys including State of JavaScript and State of CSS.
There are
big changes since the first in early 2025, when the majority
of respondents used AI to create less than 25 percent of their code, whereas
today 63 percent of devs use AI to generate more than half their code.
Over a quarter of respondents (27 percent) use AI for 90 percent or more of
their code.
Code generation is the top AI use case, followed by code review, research, and debugging.
The researchers gathered respondents from those who had
completed previous surveys plus others contacted via social media, and state
that the topic may have “biased the respondent set towards developers who
do have an interest in AI.”
Regarding job security, a common view is that although
developer skills remain relevant in an AI world, their bosses may be convinced
otherwise and let them go.
“AI companies can convince employers that AI
can take my job, even if it can’t,” said one. Another commented that they
“already had to search for a new one, because my job as designer and
frontend dev got cancelled for AI.”
There is concern over loss of skills as junior hires decrease.
“Companies will rather spend the money on AI than train employees,”
one commented.
The most used model provider is ChatGPT (88.4 percent), just
ahead of Anthropic’s Claude (82.1 percent). When it comes to paid subscriptions
though, Claude is the winner (69 percent), followed by ChatGPT (49 percent) and
Google Gemini (32 percent).
Despite increased usage, the respondents are by no means AI
enthusiasts. Use of AI for image generation has fallen since last year, from 38
percent to 37 percent, and some respondents have ethical objections.
“I do
not use image generators on principle,” said one, and another claimed “AI
image generators are built entirely on stolen images.”

A general section on AI risks revealed a multitude of
concerns: while job displacement topped the list, military use of AI,
environmental impact, and AI slop takeover were not far behind. Security issues
and rising costs were also areas of unease. The survey limited respondents to
three top choices; many comments showed that they would have liked to pick
more.
From a technical perspective, the biggest issues cited were
hallucination and inaccuracies (64 percent); poor code quality (53 percent) and
lack of context (38 percent).
It is a strangely mixed picture, with respondents expressing
strong reservations about the overall impact of AI, while at the same time becoming
dependent on it. 74 percent agreed AI tools are integral to their
workflow, and 64 percent felt they were more productive thanks to AI. 88
percent feel the quality of AI tools has improved significantly year on
year.®
Once the purview of crime labs and TV shows, DNA tests have instead become common gifts for birthdays, holidays and special occasions like Mother’s Day and Father’s Day. Quick tests like 23andMe and AncestryDNA have made the process of learning more about your family history easier, cheaper and faster than ever.
But in her new book, The Psychology of Genealogy, psychologist Susan Moore warns that you should consider all the risks before undergoing a test.
“Should you give DNA kits as gifts? It can be fun; it can be risky,” Moore said.
Beyond the safety concerns of a company having your DNA on file with the potential of data breaches and privacy concerns, emotional fallout can be an unexpected — yet not uncommon — result of these DNA tests. While genetic testing promises answers and connection, those findings can upend long-held beliefs about your identity and family.
With over 30 million users and a multibillion-dollar industry, surprising matches and results are common. Misattributed paternity, donor-conception discoveries, late-found adoptions and unknown family members have all emerged from growing databases. For people unprepared for these outcomes, the psychological effects can be severe, according to Moore.
Moore calls it “identity disruption” when new genetic information can undermine a person’s sense of self and belonging. She says some integrate the news and move on, while others face betrayal, mistrust and grief.
There are many practical, real risks when it comes to DNA testing. So why do millions of people still purchase them and send in their swabs?
Moore points to a few basic drives, such as curiosity, a need for rootedness and the intellectual thrill of uncovering family lore as to why people still undergo genetic tests. Genealogy can bring joy when people find long-lost relatives or overcome research barriers. Yet, curiosity often meets hard, unexpected truths.
“DNA gives you some new and interesting clues to your family tree structure, but the hard work of making sense of those clues must still be done,” Moore said.
If you’re still interested in pursuing genetic testing anyway, Moore offers some simple advice: Test only if you want to explore ancestry and are ready to learn how to interpret results and contact matches ethically. Do not gift a kit without asking first, and make sure recipients are emotionally prepared and aware of privacy risks.
TL;DR: ASML’s most advanced chipmaking tools have become the focus of a renewed dispute in Washington over how far the US should go to keep cutting-edge semiconductor technology out of China. In recent months, the Trump administration has pressed ASML over whether one of its extreme ultraviolet (EUV) lithography machines may have slipped past export controls and ended up in China. According to people familiar with the talks, Commerce Secretary Howard Lutnick raised the issue directly with ASML’s senior leadership, asking whether a machine that has never been approved for export to China could have nonetheless reached the country.
EUV is the technology that underpins today’s most advanced processors. The machines are used by companies such as TSMC to manufacture high-performance chips for Nvidia and Apple. They are roughly the size of a school bus, are produced in limited quantities, and require constant maintenance from ASML engineers.
US export rules have long barred ASML from selling EUV tools to China, and the company says it complies with those restrictions. In its discussions with Lutnick, ASML pushed back on the suggestion that an EUV system could be operating in China, according to people familiar with the talks.
A company spokesperson, responding to questions about those meetings, said ASML has never shipped an EUV machine to China and stressed that it regularly engages with governments worldwide while adhering to export regulations.
The conversation has taken on a sharper edge in Washington. Multiple senior Trump administration officials, speaking on condition of anonymity, said they believe ASML is not acting in good faith, citing exports to China of equipment they say is specifically related to EUV tools.
They declined to provide documentation, citing the sensitivity of the information, and did not say they had proof of an actual EUV machine operating in China. ASML, for its part, denied to Bloomberg that it has shipped any EUV-specific equipment to China.
Behind the scenes, the pressure has triggered an internal scramble at ASML. After Lutnick’s April meeting, the company prepared a document titled “No Indication of Any ASML EUV System in China” and circulated it among officials in Washington, according to people familiar with the situation.
The document, reviewed by Bloomberg, says there are 314 EUV machines in use worldwide and 26 that have been decommissioned, with none located in China. It also states that ASML can automatically detect “any interruption, abnormal behavior, or loss of connectivity” across its EUV fleet, and that customers “cannot remove, transport, or relocate EUV systems without ASML involvement due to specialized handling procedures.”
Those technical constraints are central to ASML’s argument. EUV tools are so complex that they effectively remain under the company’s oversight throughout their operational life. ASML says customers cannot remove, transport, or relocate EUV systems without its involvement because of specialized handling requirements.
Yet skepticism within the Trump administration persists. Senior officials say they have evidence that ASML shipped specialized transport equipment and other components for use with EUV systems to Chinese customers, though they have declined to provide supporting records.
The technology at the heart of the dispute is critical to China’s AI ambitions. Huawei Technologies, which has been cut off from EUV tools, has made progress in producing advanced chips without ASML’s most sophisticated equipment, narrowing the gap with TSMC. That absence of EUV capability is widely seen as one of the most significant constraints on Huawei’s ability to mass-produce cutting-edge AI chips.
If investigators were ever to confirm that a full EUV system had reached China, it would amount to one of the most serious known breaches of the US-led export control regime designed to limit Beijing’s access to high-end AI hardware. For now, officials have declined to explain why, if they suspect such a violation, they have not brought public enforcement actions or further tightened restrictions.
ASML’s broader China business is already constrained. The Netherlands has blocked EUV sales to Chinese chipmakers and, under US pressure, has also restricted certain types of immersion deep ultraviolet tools. Washington has been frustrated that ASML accelerated shipments of some DUV systems before the newer rules took effect.
Senior Trump administration officials say those episodes, along with alleged EUV-related exports, point to a company that is too willing to prioritize short-term revenue over national security.
The dispute over EUV is unfolding as Washington debates how far to extend its export control regime. The US has effectively severed Huawei from most foreign technology and has used extraterritorial measures to draw companies such as ASML into that effort.
At the same time, gaps remain in how allied controls are applied and how far they extend to maintenance, servicing, and support for restricted Chinese firms such as SwaySure Technology, which US officials say has received technological support from ASML. The administration has tools to halt those relationships outright but has not done so, and negotiations with the Netherlands and Japan over tighter rules have yet to produce a decisive outcome.
In Congress, lawmakers are pushing a bill that would bring foreign suppliers, including ASML and Tokyo Electron, under restrictions more closely aligned with those on US firms, and would effectively ban ASML’s shipments of immersion DUV tools to China.
That shift would hit a business ASML expects to generate about one-fifth of its 2026 revenue. The Trump administration has not taken a formal position on the legislation, and US diplomats have suggested that a broader US-EU trade deal could reduce momentum behind the bill, which several European governments oppose.
The Texas Parks and Wildlife Department (TPWD) disclosed a data breach at its license system vendor that exposed personal information for more than three million individuals.
The Texas Cyber Command discovered the intrusion and launched an investigation to determine the extent and impact of the unauthorized access. The state authority found that Social Security Numbers (SSNs), dates of birth, or any financial information, such as credit cards, have not been impacted.
However, the threat actor may have obtained personally identifiable information that includes the following data types associated with 3,087,721 Texas hunting and fishing license customers:
The exposed data set is sufficient for hackers to target impacted individuals in phishing and social engineering attacks that lead to web pages distributing malware or seeking more sensitive information.
“There is no evidence that customers under the age of 18 were involved or that any specific group was targeted,” TPWD says in the data breach notification.
TPWD is the Texas state agency responsible for managing wildlife and fisheries, state parks, conservation programs, hunting and fishing regulations, boating registration, and enforcement by Texas Game Wardens.
The Texas state agency also issues hunting and fishing licenses and permits, which are sold through an external vendor.
BleepingComputer contacted TPWD for more information about the incident and the name of the third-party service provider, but we have not yet received a statement.
The agency says that it is “working closely with the license system vendor to implement new safeguards and enhanced monitoring services.”
TPWD advises customers to monitor their credit reports and financial statements. Impacted individuals are eligible for one year of free credit monitoring and should consider placing a credit freeze or fraud alert with major credit bureaus as an added protection against identity thieves.
It is also strongly recommended to remain vigilant for phishing and impersonation scams, as threat actors may try to send communication posing as a company or an official.
Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.
The Picus whitepaper shows how breach and attack simulation tests your SIEM and EDR rules so threats stop slipping by detection.
Jon Prosser, the leaker Apple is currently suing for allegedly leaking iOS 26 trade secrets, has published yet another video on his YouTube channel called Front Page Tech, showing what he says could be the final design of the purported iPhone Ultra.
Along with slightly different renders from last time, Prosser also points to iOS 27 developer code to back up his claims, particularly regarding the existence of the iPhone Ultra and a new feature that iOS users have been requesting for years.

The renders show a book-style foldable that Prosser describes as a “chunky iPhone” when closed and an “iPad” when opened, something we’ve already known for a while. When unfolded, the phone could measure just 4.5 mm, making it slimmer than the iPhone Air at 5.6 mm.
The titanium body pairs with what the host calls an “over-engineered hinge” designed to produce a near-creaseless display. Apple has reportedly been developing the technology for quite some time and has also faced a couple of setbacks.

As seen in the video, the purported iPhone Ultra could come in two colors: white and black (or a dark gray finish). Most of these details aren’t entirely new and have been echoed by several different sources.
What stood out to me, however, were a few smaller details that didn’t get much attention in the video.

Front Page Tech also uploaded a similar video in December 2025, calling the foldable the “iPhone Fold” instead of iPhone Ultra. After watching both videos side by side, here are some changes that I’ve noticed.
While the previous video had the power button (with integrated Touch ID) at the top of the smartphone, right above the camera bar (with the display facing you), the new renders show volume buttons in that position instead. There’s also a speaker grille on the top frame.


The power button is now located on the right frame, where it normally sits on an iPhone, but on the bottom half of the foldable. This isn’t the typical iPad button layout everyone is used to, and it may take some adjustment.
The elephant in the room is the new, more compact camera visor. Instead of covering the entire width of the rear panel, it extends only around the dual rear-facing camera module, elevating the sensors above an otherwise flat panel and creating a more seamless look.


Prosser claims the iPhone Ultra will bring split-screen multitasking to iOS, though it would reportedly be exclusive to the foldable. That means your current iPhone likely won’t get it, even though it supports iOS 27.
Apple appears to be laying the groundwork in iOS 27 code, with strings like “fold state” and “angle degrees” surfacing in the developer beta.
Following WWDC 2026, Apple also instructed developers to prepare for a dynamic range of screen sizes and aspect ratios. If Prosser is right, the iPhone Ultra would be the first iPhone to properly run two apps side by side.

Other claims about the phone, such as the A20 chip, the C2 modem with satellite-based 5G connectivity, and a price tag north of $2,000, remain similar. Whether the iPhone Ultra will ship with Touch ID and a Camera Control button remains unclear, but a September 2026 launch alongside the iPhone 18 Pro and iPhone 18 Pro Max seems likely.
A clip of a helicopter landing has gone viral following an incredibly precise landing. In the video, first posted by the YouTube channel Rescue -Helispotter Pipo St.Gallen Switzerland, a red Rega rescue helicopter lands on the roof of the St. Gallen Cantonal Hospital in Switzerland, but it’s not just any helicopter landing. The speed and angle the pilot takes are what make the video impressive, with the pilot neatly drifting into the landing rather than the usual slow turn pilots make from further out.
Rega helicopters are on standby at 14 locations in Switzerland, including its towns and mountains. The rescue helicopter in the viral clip is an AgustaWestland Da Vinci, used on all of Rega’s mountain bases due to its aerodynamics and power. What allows the Da Vinci helicopter to land so precisely, like in the video, even on mountains? It has landing gear rather than skids. It can land just about anywhere, perfect for mountain rescues or racing to hospital landing pads.
The Da Vinci helicopter has four main rotor blades and two tail rotor blades. These tail rotor blades counteract the rotational torque of the main blades, keeping the helicopter stable and providing the pilot with more pitch control. The Da Vinci’s dual duplex four-axis digital Automatic Flight Control System offers incredible stability by adjusting all its rotor blades simultaneously. A four-axis system also handles the vertical motion during climbs and descents, allowing control during hovering and any significant altitude changes.
The autopilot system has altitude hold, which reduces the vibration. The autopilot also has various modes for approach, making the descent a lot smoother. Approach to hover allows the pilot to predict the final hover point and adjust the descent slope as needed. All of this is very important since the Da Vinci is designed specifically for critical tasks such as emergency medical services and search and rescue. Rega’s other helicopter, the Airbus H145, is additionally used by law enforcement and for military rescue missions.
It’s unclear what prompted this particular viral landing, but it wouldn’t be shocking if the pilot was rushing a person from the Swiss Alps to the hospital’s ER. That’s not an uncommon occurrence: According to Swiss Alpine Club data (via Swissinfo), nearly 4,000 people had to be rescued from the Alps in 2025, primarily due to falls and getting lost.
These mountain rescues are performed by helicopters like the Da Vinci, as they are well-suited to the requirements of high-altitude flights. Think about it: The helicopter crew must search for the rescue location, with mountainous terrain possibly requiring the pilot to land on cramped or uneven surfaces. If the pilot can’t land the helicopter, they must have a chopper that will hover steadily as the rescue specialist descends, so they can hitch the injured hiker and lift them back up. None of this would be possible with airplanes, of course — and maybe not with a more conventional helicopter, either.

Demand for artificial intelligence compute continues to rise, necessitating the search for new sources of reliable power and effective cooling. Facilities built on land frequently face opposition from communities concerned about electricity bills, noise, and water consumption. Panthalassa, a Pacific Northwest-based company, has spent the last decade developing floating platforms that generate power straight from ocean waves while staying cool in the surrounding waters. Data is transmitted to and from the platforms via satellite links rather than undersea cables. The strategy isolates operations far from shore and takes advantage of wave energy that is available around the clock in strategically chosen places.
Current prototypes for continuous wave power resemble large steel barges that sit primarily at the ocean’s bottom, with only a small portion visible above the water. Since 2025, the Ocean-2 test unit has been located off the coast of Washington state. It is around 70 metres long and produces a full megawatt of power when the waves are perfect. Waves shaking the floating part of the item push all of the water down a conduit into a reservoir underwater, where gravity simply allows it to drop into a unique water-tight turbine that generates energy. They’ve engineered it such that strong ocean conditions can’t get in and cause damage, and there are no exposed bits to break.
Sale
Photos of the Ocean-2 in the ocean reveal a plain steel construction with scale markings, antennae protruding out, and a few other components visible above the waves. Engineers made the prototypes out of thick steel coated with zinc or aluminum to prevent rusting, and they expect them to last at least 15 years. The compute bits that will be added when they go commercial will be in sealed containers with cold saltwater circulating inside, as they picked this design because the seawater will absorb the heat for them without the need for mechanical cooling or large fans to blast the moisture away.
The larger commercial ones they’re planning on are about 85 meters long and will have some AI components in those seawater-cooled containers, allowing numerous ones to work together as a larger data center. The results will be sent back to the control center via SpaceX Starlink satellites, eliminating the need to connect to the grid or run cables all the way back to the shore. They believe this technology is best suited for large, time-consuming operations that do not require immediate results.
Setting it all up begins on the beach or in a secluded body of water. Then they pull the object out to deeper water and let it sit up, as it will go from there on its own or with a little aid from a crew to its eventual destination. Targets are stretches of the Southern Ocean away from all maritime lines. The first commercial one with all of the AI gear is scheduled for 2027 and will be constructed at a new plant in the United States.
[Source]
security
Owners of affected iPhones can stop checking for patches now: the fix for this SecureROM bug comes in a new handset
A newly disclosed BootROM exploit affecting Apple’s A12 and A13 chips gives researchers a way to break the secure boot chain on millions of iPhones and other Apple devices.
The exploit, dubbed “usbliter8” by security researchers at Paradigm Shift, targets a flaw in the SecureROM code found on the iPhone XS, XR, 11, and 11 Pro models, plus other devices powered by Apple’s A12 and A13 processors. Because the vulnerability resides in immutable BootROM code burned into silicon during manufacturing, it cannot be patched.
The researchers traced the issue to the Synopsys DesignWare USB controller used by Apple. A flaw in how the hardware handles certain USB setup packets allows attackers to corrupt memory during Device Firmware Update (DFU) mode, and ultimately gain control of SecureROM itself.
That might sound like an unremarkable minor moment in boot process, but SecureROM sits at the very bottom of Apple’s chain of trust. If an attacker can compromise it, they can interfere with everything that comes afterward.
For ordinary iPhone owners, there is little reason to panic. Exploitation requires physical access to a device and the ability to place it into DFU mode, which means this isn’t the sort of bug criminals are likely to weaponize in phishing campaigns or drive-by attacks.
For security researchers, however, BootROM vulnerabilities are the gift that keeps on giving. Unlike software flaws that disappear after the next patch Tuesday, these bugs remain exploitable for the lifetime of the hardware.
Paradigm’s proof-of-concept demonstrates the ability to run unsigned code during the boot process, load custom iBoot images without signature checks, and modify DFU behavior. The exploit also marks compromised devices with the traditional “PWND” – a string familiar to anyone who spent time around the jailbreaking community over the last decade.
Not every generation of iPhone has the flaw. According to the researchers, Apple’s A11 chips dodge the issue thanks to a different USB implementation, while A14 and later hardware appears to have fixed the conditions that make the exploit possible in the first place.
“While newer generations have addressed the underlying issue, affected A12 and A13 devices will carry it for the remainder of their lifetime,” said Paradigm researchers. “For those who have followed the history of iPhone exploitation and jailbreaking, this research is a reminder that the BootROM still occasionally has a surprise left to give.
The team said it disclosed the findings to Apple before publication and coordinated the release of the research with the company. Apple did not respond to The Register’s request for comment.
The exploit doesn’t directly compromise Apple’s Secure Enclave Processor, which remains responsible for protecting passcodes, encryption keys, and other sensitive data. Still, gaining control of SecureROM is about as close as researchers can get to the keys to the kingdom without crossing that final boundary.
There’s no fix, but a remedy is simple, if somewhat expensive: buy a new iPhone. ®
There might be a general sense out there that modern cars are longer-lasting and less trouble-prone than older ones, and for many models, and by many standards, that may be true. This doesn’t, however, mean that new cars are without issues — and those issues can be big or small. With the increased use of software, sensors, and other tech-heavy features in modern vehicles, even minor glitches and hiccups can easily cause problems — with things like backup camera issues regularly leading to extensive vehicle recalls in the modern era.
The good news is that while annoying, a lot of those issues can be fixed quickly and easily, sometimes at home via over-the-air updates or with a trip to the dealer for a software refresh or a quick component replacement. Some modern vehicle problems, though, are much more troublesome.
Nobody wants to deal with engine problems, and at the moment several major auto brands are facing notable engine issues on some of their most popular models. Some of these problems have necessitated complete engine replacements and have caused not just major vehicle recalls but class action lawsuits as well. Below, we’ve rounded up some of the bigger ongoing engine issues that automakers are dealing with in 2026.
Honda generally enjoys a strong reputation for reliability, but there are still some Honda engines buyers might want to steer clear of. One of those engines is the company’s 1.5-liter turbocharged four-cylinder engine. The Honda 1.5-liter turbo has been around for a while now and powers some of Honda’s best-selling models, including the Civic, Accord, and CR-V.
Unfortunately, this engine’s issues have also been known for a while — namely, oil dilution and head gasket failures. A blown head gasket is not a cheap or quick repair, and while Honda hasn’t issued a factory recall for these problems, ongoing 1.5-liter turbo issues have continued to plague the company, including class action lawsuits.
The good news for new car buyers, at least, is that in 2026, the 1.5 turbo has become an increasingly small and outdated part of Honda’s engine lineup, as the Civic, Accord, and CR-V are all available with Honda’s newer 2.0-liter hybrid four-cylinder. Opting for the hybrid versions of these cars will cost a little more up front, but it’s probably the wiser choice. Not only will the hybrid models avoid the potential issues of the 1.5 turbo, but they also deliver significantly improved fuel economy and performance compared to the non-hybrid engine.
Things overall have not been great for Nissan recently, as the Japanese automaker works to dig its way out of financial turmoil at the corporate level; down on the ground, things aren’t much better. The company’s innovative yet often troublesome variable compression engines have been a major culprit behind recalls and owner complaints, plagued by issues for a few years now.
In 2026, the Nissan 1.5-liter three-cylinder turbo VC motor has proven especially problematic, with the company recalling over 600,000 Rogue SUVs for potentially catastrophic engine problems. If fortunate, some of the affected engines will only need a throttle body replacement. More serious is the ongoing problem of VC engine bearing failures, which, if found during inspection, require a complete engine replacement. Along with the popular Rogue, these VC turbo engine issues have also affected models like the Nissan Altima, as well as some of Infiniti’s small SUVs.
With more car companies using turbochargers and other tricks to squeeze added power and fuel efficiency from small-displacement engines, it seems almost inevitable that problems like this will happen more — particularly when compared to the larger and simpler, if less efficient, naturally aspirated engines that used to be the norm.
Given their increased heat and complexity, it’s not surprising that most engines experiencing major issues are the smaller, turbocharged variety. It turns out, though, that the simpler, naturally aspirated American V8 is not without its own problems. Specifically, we’re talking about problems with the General Motors 6.2-liter V8, which powers popular models like the best-selling Chevy Silverado and GMC Sierra pickups, as well as the Chevy Tahoe, GMC Yukon, and Cadillac Escalade SUVs.
Problems caused by defective internal components in the L87 6.2 V8 have thus far led to the recall of over 700,000 trucks and SUVs, not to mention ongoing class-action lawsuits from owners. GM says a possible solution is to change the recommended oil viscosity. However, questions remain about its effectiveness, and it hasn’t provided L87 owners with any real peace of mind. Even if the solution helps protect the engines, concerns have been raised about a possible decrease in fuel economy from the switch.
In early 2026, an NHTSA investigation was launched into the 6.2 engine failures and the band-aid fixes GM has recommended. There’s no doubt that both General Motors and potential truck and SUV buyers are hoping that the 6.2’s issues will be left in the past with the move to new, larger V8 engines on next-generation truck models.
Want to know how fast things can change in the auto industry? Back in 2021, the new Jeep Wrangler and Grand Cherokee 4xe models, which use a 2.0-liter turbocharged four-cylinder engine combined with plug-in hybrid electric power, were portrayed as the future of the Jeep brand — and would be sold as part of a growing lineup of hybrid and fully electric Jeep SUVs.
Just five years later, Jeep has discontinued its 4xe models completely. This was partly done in response to a shifting market and regulatory environment, which has seen automakers draw back from electrification across the board, but that likely wasn’t the only reason for the 4xe’s demise. The 4xe powertrain has also been plagued by mechanical and electrical issues, which surely haven’t helped its case for sticking around. Among other things, 4xes had already been recalled for potential battery fire issues– and then there was another recall for possible casting sand that may have been left inside the 4xe’s 2.0 turbo engine, with over 100,000 vehicles affected.
If sand is inside the engine, it could lead not just to total engine failure but also to a fire risk — something that has become all too familiar for 4xe owners. One can only imagine the costs Jeep and Stellantis incurred during the 4xe experiment, so it’s not surprising that the company is ready to move on from this era — even as mechanical problems linger.
Traditionally, when one bought a new Toyota pickup truck, a reputation for reliability was one of the big selling points. Even if the truck lagged behind competitors in other categories, the hope was that a bulletproof, trouble-free engine would pay dividends over the long run. So far, though, that hasn’t been the case with the company’s latest full-size pickups and SUVs.
The 3.4-liter twin-turbocharged V6 engine that powers the Toyota Tundra pickup and Toyota Sequoia SUV has suffered significant problems since its debut for the 2022 model year — and they continue to put a dent in Toyota’s generally excellent reputation. As of 2026, ongoing, potentially catastrophic engine-bearing problems have prompted Toyota to recall over 250,000 trucks, and even with the company’s efforts to remedy the issue, Tundra owners remain unhappy with the situation.
Even worse, though Toyota has updated the design, the new engines being built today still aren’t completely immune to the defect. While there’s no doubt about the on-paper performance and fuel economy improvements of the new twin-turbo engine over its predecessors, the issues the new Tundra has had will probably keep some owners sticking with their older V8 models for a while longer.
The engines on this list were chosen because of ongoing recalls, owner complaints, class-action lawsuits, and government investigations over the last 12 months. To narrow it down to these specific choices, we chose popular vehicles from major brands that have been subject to large and ongoing recalls over the last year — including ones with issues not yet fully resolved. While manufacturer recalls are very common on modern vehicles, these engine issues require more than a quick fix and, if left unaddressed, have been shown to cause complete engine failures, often in newer vehicles with low mileage.
In 2018, Amazon brought me in as the lead UX Sound Designer for Astro, their first consumer home robot. Astro used cameras and other sensors to map and navigate your home and workplace, and could proactively patrol, check up on loved ones, and transport small items using its built-in cargo bin. While there was a well-defined feature set and form factor, initially there was no character direction. In fact, even before Astro had a name, there were two main questions—was it simply Alexa on wheels, or was it a robot with its own character?
The Astro team was divided. One option was to focus on Alexa, and treat the mobile robot simply as an added utility. I argued for Astro to not focus on Alexa, along with the majority of the UX team. Our belief was that a thing that moves through your home and turns toward you with intent can never be just an appliance. People would ascribe character to whether we wanted them to or not, and so the only question was whether we shaped that character or let it happen by accident.
Ultimately, Astro became Astro rather than Alexa, and user testing backed up our decision. People didn’t see the robot as Alexa. They saw it as its own character, and that’s what they wanted it to be. Alexa on the device felt somewhat strange and creepy, but building Astro its own voice was too slow and expensive in 2018. So, we settled on Alexa as a supporting character that handled any actual talking, while Astro was the main character, communicating as much as it could without words, through sound, motion, and facial expressions.
I had been brought on to the Astro team to define the robot’s sound design language and voice. But there was no one to flesh out the robot’s actual character. You cannot make a single real decision about a character without defining it first. Every choice about how Astro moved, sounded, paused, or reacted was a character choice, and those choices required all disciplines working together. As Sound Lead, I was weaving together sound, motion, and character, and how they played together inside each story moment. The animators, who programmed Astro’s motion and facial expressions, were extraordinary at what they did, but the emotional arc they were animating came from the sound (and therefore character) work first. So I stepped into that role, which is where my real work started. What I learned about building character for robots applies to nearly everything being built in embodied AI right now.
Developing a character for Astro meant answering questions that had never been asked about a product at Amazon: What is the emotional range of this robot’s baseline state? How does this robot communicate uncertainty without eroding trust? Where is the line between being expressive and annoying? What are the vulnerabilities of this device’s character?
These are design questions. They have real answers, and every team working on the product has to build from them. For example, Astro’s emotional range was designed to be relatively small at first. We never wanted Astro to get too sad or too angry. It could play sad, but would snap out of it quickly and end the reaction on a high note to keep things positive.
Character leaks out of every seam and can create a disjointed experience if not defined correctly. Even if it’s just animation timing that’s slightly off, or a response that’s technically correct but contextually tone-deaf, users feel every one of these inconsistencies, even if they can’t name them. Watch what happens at the beginning and end of this Sing sequence:
Astro goes from nothing, into the emotional moment, and then lands back on nothing. No build up, no cool down, no sense that the feeling came from somewhere or had anywhere to go. I pushed hard for better character stitching, the transitions in and out of expressive moments that make a performance feel continuous rather than assembled, but it never got implemented. The moment itself works. But without the stitching, it reads as a clip playing on a robot rather than coming from within the robot character itself.
We had decided that Astro would have no spoken dialogue, but it had something that functioned the same way: a vocabulary of sounds, tones, and rhythms that acted as its voice. This vocabulary became the leading output of the character’s personality. The robot’s motion and facial expressions were built around it.
Astro’s wake-up sequence is a great example. Waking wasn’t just a boot animation on the screen; it was an entire performance. Slow and humble at first, the robot oriented itself quietly, then stretched its screen, checked its wheels, and finally, with an upward gesture toward its telescoping mast, it popped it up slightly, and did a little dance of joy. Sound, motion, and eyes hit every beat together in full choreography.
The character’s output in that sequence was first written as a story. Astro is waking up in its new home for the first time. Its main aspiration is to be part of a family, so this is the moment it has been waiting for, this is its purpose. Being the responsible character that it is, it wants to make sure everything is good to go before it introduces itself and starts learning its new home.
This narrative came first because it drove every other decision that we made. After the story was written, sound gave that story a metaphorical voice: the excited tones, the pacing as it checked its wheels, and the bright melodic phrase as Astro looked up at its new family for the first time and introduced itself. Once the sound was laid down, animation did their thing with motion and facial expressions, taking cues from the emotional arc the sound had established. Motion didn’t lead—it followed the feeling of the story and the sounds, the same way an animator follows a recorded vocal take.
That wake up sequence became one of the most-discussed moments in early user testing. People described it as “alive.” What they were responding to wasn’t any single element. It was all three channels (sound, motion, and facial expressions) expressing the same defined character in harmony.
The most compelling characters are defined not by a fixed disposition but by how they respond to their environments and the people in them. They’re still recognizably themselves even as they adapt. This is what I call contextual character. A robot living in a home doesn’t occupy a single emotional state. It moves through rooms with different energy, encounters people in different moods, operates at different times of day, and responds to an endless range of social situations it was never explicitly designed for.
We got close to a contextual character output with Astro’s sound. When a specific piece of environmental context was fed in, the system adapted beautifully, and Astro felt completely alive. But every state like this was still a prediction we made by hand—a situation we had to imagine in advance and design a response for. A random home throws more situations at a robot than anyone can possibly predict, so there was always a longer tail of moments the system was never prepared for.
The difference between a product people describe as “smart” and one they describe as “aware” often comes down to this. Smartness is capability. Awareness is context. Presence is character. And character is always in reaction to the people around it, to its environment, to its own evolving state. That’s what makes it feel like something is emotionally present with you.
This is where AI changes the game for character design in ways that go well beyond what was possible with Astro. AI-driven adaptation doesn’t require the contextual predictions that we relied on. It learns the specific rhythms, preferences, and emotional context of the people it lives and works with. The character doesn’t just respond to context. It grows into it.
The character and soul of the impending wave of embodied AI products appears to almost always be an afterthought. And character defined late is character defined by default. It becomes the sum of a thousand small decisions made by different people thinking about anything but character. People project character onto devices whether you plan for it or not, especially if those devices move—a robot that moves is already a character. If nobody has designed this character, the result will be products that feel like nothing, or worse, feel confusing and not trustworthy. Technically impressive, but lifeless.
We did not get this fully right with Astro. So many things were moving in parallel that character was rarely treated as a utility, and it made sense why. When you are building a first-of-its-kind product, the things that are the loudest are the ones that break, the deadlines, the costs, the features a customer can point to on a box. Character is quieter than all of that. It’s easy to assume it can come later. On a team as large as the Amazon Astro team, it’s lucky to get any idea onto the roadmap when it is competing with a hundred others that all feel more urgent in the moment. None of this came from people not caring. It came from character being the kind of thing that is hard to prioritize until you see what its absence costs you.
If you are building a product that will share physical or conversational space with people, three things are worth considering:
Define character before you define interactions. You need a defensible character with enough emotional logic to answer hard questions consistently. Find answers to character questions early, and have every discipline build from the same foundation.
Build story and sound into the character pipeline, not the production pipeline. Story and sound developed alongside character definition has the chance to inform motion, expression, and interaction logic. This requires a different kind of collaboration, and a different kind of hire.
Design for adaptation, not just consistency. A consistent character is necessary, but the products that will matter most in people’s lives are the ones that deepen through use. The infrastructure to support that is more and more accessible, but the design thinking to take advantage of it is still rare.
An unabridged version of this story can be read on Medium.
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Sennheiser has launched its first serious challenger in the growing open-ear earbuds market, with the new Accentum Clip promising the situational awareness that this category is known for. It does so without sacrificing sound quality.
Open-ear earbuds have become increasingly popular among commuters, runners and gym-goers who want to stay aware of their surroundings while listening to music. However, the trade-off has often been weaker audio performance. That’s exactly what Sennheiser is aiming to address here.
The Accentum Clip uses a 12mm dynamic driver and carries Hi-Res Audio Wireless certification, with support for LDAC on compatible devices for higher-quality music streaming. In addition, Sennheiser has included a Dynamic EQ feature that automatically adjusts audio performance at lower volumes. This helps maintain bass and clarity without introducing distortion.
The earbuds feature a clip-style design that sits outside the ear canal rather than sealing it off. According to Sennheiser, this allows users to hear traffic, conversations and other environmental sounds naturally, without relying on transparency modes.
Each earbud weighs just 6.8g and uses a flexible silicone bridge designed to fit a wide range of ear shapes. An IP54 rating means they’re protected against dust and sweat, making them a natural fit for workouts and outdoor use.


Battery life is another highlight. The Accentum Clip can deliver up to nine hours of listening on a single charge, while the included charging case extends total playback to 36 hours. Notably, a quick 10-minute charge provides up to two hours of listening time.
Elsewhere, the earbuds are powered by Bluetooth 6.0. They support multipoint connectivity and Google Fast Pair. Furthermore, they use dual microphones with AI-powered noise reduction to improve call quality in noisy environments.
The Accentum Clip will be available in Black and Cream from 23 July 2026 in the UK, with pricing set at £149.
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