The UK government has laid out a $1.47 billion plan to shake its dependence on foreign-made artificial intelligence hardware.
Under the measures, announced Monday, the UK will spend more than $1 billion on a national AI supercomputer. It will be stocked with $530 million worth of hardware, including $200 million that will go toward specialist inference chips for processing AI tasks. Priority will be given to up-and-coming British firms in the procurement process; the government pointed to Olix and Fractile, two UK startups developing new styles of inference chip, as potential beneficiaries. British researchers and startups are expected to be able to use the supercomputer starting in 2030.
The new measures are part of a broader effort by the UK government to minimize dependence on foreign powers for access to AI products and services—a move made more urgent by the apparent souring of the relationship between the US and its European counterparts. The European Union outlined a similar “tech sovereignty” proposal last week. This year, European leaders have found themselves in confrontation with the Trump administration over issues ranging from the sovereignty of Greenland to tariff policy to immigration, leading to speculation about a deterioration in the NATO alliance. Against that backdrop, a dependence on American technology could be a liability, wielded by the US against European countries as leverage.
“The geopolitical settlement of the last 40 years has ruptured—and many would argue is gone for good,” UK technology secretary Liz Kendall said during an April speech at the Royal United Services Institute, a defense and security think tank. “For Britain, AI sovereignty is about reducing overdependencies and increasing resilience.”
“There are those who say this race is already lost—that it is too late to challenge the dominance of the US or China in AI chips—but I do not accept such defeatism,” she added.
Last November, the UK began to establish “AI growth zones,” regions across the country with fewer administrative and regulatory barriers to building data centers. In April, it launched a $675 million venture fund, SovAI, for investing in homegrown AI startups in fields ranging from model development to agentic AI to drug discovery. The supercomputer hardware plan is the latest piece of that expanding mosaic.
Though the UK is home to prominent firms like ARM, whose chip architectures are ubiquitous across the globe, semiconductor design and manufacturing is otherwise dominated by American and Asian companies. By acting as a large customer to domestic chip startups, the UK government is aiming to both support their growth and incentivize them to remain in the country long-term.
“Historically, the UK government has just been impenetrable … the willingness to back UK businesses with innovative technologies with hard contracts is a really important milestone,” says Ed Bussey, CEO at Oxford Science Enterprises, a venture capital firm that participated in Fractile’s 2024 seed round. “If we can build out a procurement pipeline of revenues for these companies, it helps to anchor them here.”
The changes unfolding in AI datacenter design—moving away from homogenous fleets of chips toward a mix of specialist hardware for different purposes—represent an opportunity for the UK to carve out a strategically important niche.
“You can’t do everything on your own, so you really have to be militant about what areas you want to specialize in,” says Keegan McBride, director of science and technology at the Tony Blair Institute, a think tank founded by the former UK prime minister. “The UK is playing a very smart game … If they get it right, there’s a massive opportunity. If other companies begin to depend on British chips, that gives you leverage.”
ZeroAvia was flying high. After launching in California in 2017, the clean aviation startup was expanding, establishing an R&D facility in Everett in the shadow of aerospace juggernaut Boeing and running test flights in the United Kingdom. It was raising cash from government grants and investors including Bill Gates’ Breakthrough Energy Ventures and Amazon’s Climate Pledge Fund.
In May 2023, the company unveiled a retired turboprop from Alaska Airlines, wrapped in ZeroAvia’s navy and sky blue graphics, as part of a partnership to outfit the craft with sustainable technologies.
“The largest hydrogen-powered commercial aircraft is being developed right here in the greatest, most innovative state, the state of Washington,” said then-Gov. Jay Inslee at an event at Everett’s Paine Field.
Three years later, the startup is in a far different place.
Except for a sales team, ZeroAvia’s operations in Washington have ceased. The plane was never retrofit with hydrogen powertrains and the fate of the startup’s 136,000-square-foot Paine Field R&D facility is uncertain. Product development has shifted to the UK, and that work has narrowed. The company left California.
Last month ZeroAvia announced that CEO and founder Val Miftakhov had stepped down “to pursue new opportunities.” At least three other members of the C-suite have also departed.
Despite the setbacks, the company says it’s moving forward.
“The vision and mission of the company is the same — it’s hydrogen electric powertrains for aviation, decarbonization, reduced cost — these are the goals,” Chief Strategic Officer James McMicking told GeekWire. “But we have to adjust the pace and focus based on what’s going on in the market.”
Aviation is proving one of the most difficult sectors to decarbonize. Traditional jet fuel is far more energy-dense and widely available than planet-friendly alternatives such as hydrogen, batteries and sustainable aviation fuels — and that challenge is central to ZeroAvia’s struggle.
The startup is developing hydrogen fuel cells to generate electricity, which powers electric motors to turn an aircraft’s propellers. The plan was to develop a product line at the Everett site including fuel cells, power electronics, compressors and advanced electric motors, giving companies the option of buying full engines as well as components.
But hydrogen has struggled to take off in the U.S., and while momentum was building under the Biden administration, President Trump slashed support for the sector after taking office last year.
Snohomish County Executive Dave Somers was sympathetic to ZeroAvia’s struggles.
“Any business can face ups and downs, and those ups and downs may be particularly notable for businesses in emerging technologies or sectors,” he said by email, wishing the company his best “as they work through their challenges.”
One year ago, Bloomberg reported the company was trying to quickly secure $150 million from investors to stay solvent through the end of 2028. McMicking declined to say how much was raised. Earlier rounds and government support come to roughly $300 million, and in 2023 Breakthrough Energy Ventures was ZeroAvia’s largest shareholder.
That funding includes $700,000 from Washington state, awarded across two grants to support its Everett operations. ZeroAvia put up $5.5 million of its own money to lease and prepare the R&D facility, which is owned by Snohomish County. By 2023, ZeroAvia employed roughly 40 people in the area.
Daniel Tappana, director of economic development for the Economic Alliance of Snohomish County, said ZeroAvia was a good fit for the region, with Boeing’s deep roots and a robust aviation sector with skilled employees.
“It was an incredible opportunity with some of the new emerging clean, green aviation technologies,” Tappana said.
Three years after launching, ZeroAvia conducted its first test flight on a six-seat hydrogen-powered electric aircraft in 2020. The company in 2024 announced that American Airlines planned to buy 100 of its hydrogen electric engines for its 65-seat Bombardier CRJ700 jets. It set a target of selling hydrogen-powered systems for aircraft carrying up to 20 passengers by the end of last year, and for Q400 aircraft — like the plane provided by Alaska Airlines — as soon as next year.
The new plan is more modest: focus on the hydrogen fuel cell system, while powertrain ambitions are on hold. R&D in the UK now centers on systems including hydrogen refueling and onboard storage, with a team also working on high-temperature fuel-cell stacks for larger aircraft.
ZeroAvia is selling prototype fuel-cell systems and working toward certification with UK aviation regulators. Customers can integrate the technology into their own systems, which the startup aims to accommodate with customized products. The company also sees opportunities in defense applications, including hydrogen-powered drones, particularly in remote locations.
The work is underway as ZeroAvia’s board searches for a new CEO. Board chair Christine Ourmieres-Widener has been managing day-to-day operations for the past five months and will continue in that role until a successor is hired. Miftakhov, who is based in California, “is still very much engaged,” McMicking said.
“We all feel very comfortable that we’ve got a good plan,” he said.
Clean aviation has proven a tough sector to crack. Arlington, Wash.-based Eviation Aircraft laid off most of its employees last year after developing an electric-powered airplane. But other electric aviation startups press on, including magniX, AeroTEC, Electra and Beta Technologies.
Fellow California aviation company Universal Hydrogen ran out of money in 2024 and shut down — a fate Europe’s hydrogen-aviation ecosystem has largely avoided, thanks in part to stronger public funding.
In announcing Universal Hydrogen’s closure, co-founder Jon Gordon urged others to stay the course, saying it was up to companies like ZeroAvia, Airbus and others to realize the vision for hydrogen aviation.
“You can bet I am cheering them on,” Gordon said on LinkedIn. “Our future may depend on it.”
Trump signed NSPM-11 ordering the military to adopt frontier AI faster, protect models from Chinese distillation, and barring vendors from disabling systems warfighters depend on. Warren is demanding hearings on whether the rush leaves Americans exposed.
TL;DR
President Donald Trump signed National Security Presidential Memorandum 11 on Friday, directing the US military and intelligence agencies to accelerate their adoption of advanced AI while protecting frontier models from theft by foreign adversaries. The directive replaces the Biden administration’s NSM-25, which had governed AI in national security since 2024, and adds a provision that no commercial vendor can disable, degrade, or modify an AI system that American warfighters depend on without prior government approval.
The memo lands in a week already crowded with AI policy moves: a voluntary executive order on frontier model reviews, the announcement that Anthropic is preparing to release Mythos-class models to the general public, and growing pressure from Senator Elizabeth Warren to probe whether the administration’s approach is moving too fast without adequate safeguards.
The memo gives agencies 120 days to review and update procurement processes so they can onboard advanced AI models from multiple vendors rapidly. It requires the Secretary of Defense to update the directive governing autonomy in weapon systems within 90 days. It calls on agencies including the FBI, the Office of the Director of National Intelligence, and the Office of the National Cyber Director to maintain “deep, proactive” partnerships with the AI industry.
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The language is blunt: US military and intelligence agencies have been too slow to adopt AI, and the technology is developing faster than their procurement systems can accommodate. The memo also discloses the existence of a classified annex, to be issued within 90 days, whose contents are not public.
On the defensive side, the memo directs officials including Defense Secretary Pete Hegseth and NSA chief General Joshua Rudd to work with “willing private-sector companies” to develop protocols protecting frontier models from adversary efforts to steal or replicate them. The distillation attacks the White House described in April, where Chinese labs submitted millions of queries to American models to replicate their capabilities, are the explicit concern.
NSPM-11 arrives as Anthropic prepares to release Mythos-class models to the general public in the coming weeks. Mythos found more than 10,000 high-severity software vulnerabilities in its first month of testing and was initially shared only with a limited group of trusted partners through Project Glasswing. Making it widely available means the same offensive cybersecurity capabilities that the US government wants to deploy will also be accessible to anyone with an API key.
CISA, the top US cyber defence agency, is expected to issue its own directive in the coming days ordering federal agencies to secure their networks against AI-boosted hackers. The layering of NSPM-11, the voluntary executive order, and the coming CISA directive represents the most concentrated burst of AI security policy the administration has produced.
Senator Elizabeth Warren sent a letter to Senate Banking Committee Chair Tim Scott on Monday, calling for hearings with Commerce Secretary Howard Lutnick and Treasury Secretary Scott Bessent on the administration’s AI policy. Warren argued that the voluntary model-review provision in the executive order gives AI companies a “free pass at the expense of Americans’ safety and security.”
She also pressed on chip exports. Warren cited Commerce Department guidance issued last month to block Chinese companies from acquiring advanced AI chips through overseas affiliates, calling the existing export control regime riddled with loopholes. “The Commerce Department’s mismanagement of US export controls has resulted in loopholes that may have allowed the most advanced AI chips to flow to companies with ties to China’s military,” she wrote.
The administration is simultaneously telling agencies to move faster on AI adoption and trying to protect the models those agencies will use from the adversaries who want to copy them. It is building a framework that is voluntary for the companies, mandatory for the agencies, and contested by Congress.
Meanwhile, Iranian drone strikes earlier this year knocked out power to Amazon Web Services data centres in Bahrain and the UAE, demonstrating that the physical infrastructure AI runs on is itself a target. The memo calls on agencies to work with the private sector to boost both physical and cybersecurity of data centres.
Sriram Krishnan, one of the administration’s top AI advisers, announced on Friday that he will leave the White House at the end of the month. His departure removes one of the few figures who bridged the gap between Silicon Valley and the national security establishment at a moment when that bridge has never been more load-bearing.
Humanity may be scrolling its way out of existence.
Across the globe, fertility rates are plummeting. In 2023, the average number of births per woman worldwide fell beneath 2.1 — the minimum level necessary for averting population decline (also known as the “replacement rate”). And this collapse is not concentrated in just a handful of places; more than two-thirds of all nations now have below-replacement fertility.
While this crisis has been building for decades, its nature recently changed. In the 20th century, fertility fell primarily because couples started having fewer children. Now, it is falling mostly because fewer people are forming couples — or having sex at all.
If these trends continue, the consequences will be transformative — and possibly, catastrophic, as graying populations place unprecedented burdens on the remaining young. Vast countries will swiftly shrivel into city states. Today, Thailand is home to 63 million people. In two centuries, that will fall to 2 million, if the country’s current fertility rate persists.
These are just 23rd-century problems. If sustained indefinitely, today’s global fertility rate would ensure humanity’s extinction.
And it’s partly your phone’s fault.
Or so one leading theory goes. To make sense of recent fertility trends, some analysts have turned to the devices in their pockets. In the view of the journalist John Burn-Murdoch and social scientist Alice Evans, the smartphone helped birth the global spike in singledom.
Their argument goes (partly) like this: As smartphone ownership skyrocketed globally during the 2010s, more and more young people tapped into a vast, omnipresent trove of personalized entertainment, which reduced their incentives to socialize in person. When you have virtually every movie, TV show, and pornography ever made at your fingertips, you no longer need parties for stimulation or diversion. And when you have an X or Facebook account, you can participate in a public conversation — and experience communal recognition — without ever leaving the comfort of your goon cave.
Yet this withdrawal from in-person socializing reduces young people’s opportunities to meet romantic partners or develop social skills. Relationship formation falls as a result.
“The digital revolution has played a signal role in both degrading socialization for young adults and dividing young adults from one another,” Brad Wilcox, a senior fellow at the Institute for Family Studies, told me.
And that revolution is only just beginning. After all, the tech sector’s quest to make social isolation more appealing did not end with the advent of the iPhone, Netflix, or TikTok.
Since 2022, more than 1 billion people have gained access to an infinitely patient conversation partner — one who can speak knowledgeably about all of their interests and listen compassionately to all of their problems. Thanks to Claude and ChatGPT, hermits can not only enjoy perpetual stimulation without social contact but also forms of emotional support that had previously required an intimate friend, family member, lover, or licensed therapist.
And these are the worst versions of these products we’ll ever see. Future iterations may take even more engaging forms; someday, Claude might be able to get it on.
This makes the “smartphone theory” one of the more important hypotheses of our time. If its narrative is correct — and there is some compelling evidence in its favor — then the fertility crisis is liable to deepen in the coming years. And AI might be replacing more than just our jobs.
Before digging into the “smartphone theory” of falling birth rates, it’s worth clarifying its scope.
No one thinks that digital technology is the primary cause of declining fertility, a trend that predates the iPhone by more than a century in wealthy countries (Swedish farmers did not start having fewer kids in the 1880s because of TikTok).
Rather, the main drivers of the long-term fertility descent appear to be foundational features of modernity: When scientific systems of healthcare and sanitation reduce child mortality, couples feel less compelled to have six kids in the hopes that three might survive. When industrial progress boosts the returns to education, parents have an incentive to invest more resources in each individual child’s development, making large families harder to sustain. And when women secure political rights, economic autonomy, and reliable contraception, fewer choose to spend decades of their lives perpetually pregnant.
Yet these structural forces only get us so far. Modern medicine, economic development, and women’s emancipation may have put humanity on the path to collapsing fertility. But some other factor recently sped us on our way: In the aughts, fertility rates actually plateaued globally and rose in advanced economies — before abruptly plummeting in the 2010s.
During that same decade, rates of singledom also spiked. In countries as varied as the United States, South Korea, Turkey, Tunisia, and Finland, young adults became less likely to have a romantic partner. And this “relationship recession” seems to have fueled the post-2010 drop in fertility. According to a 2025 study published in Nature, mothers in most high-income countries are having about as many children as they did decades ago. Yet fertility rates are falling nonetheless, due to a steep drop in the share of women who have any children at all.
The coupling collapse can’t be explained by a sudden expansion of women’s rights; it is happening even in deeply patriarchal societies like Saudi Arabia. Nor is it easily attributed to economic turmoil; rates of romantic partnership have fallen in both high-growth and low-growth nations, advanced economies and developing ones, countries rattled by the 2008 crisis and those largely unharmed by it.
Smartphones, on the other hand, were in the right places at the right times.
In country after country, the rise in singles — and drop in birth rates — coincided with the mass adoption of smartphones, according to an analysis from Burn-Murdoch, the journalist at the Financial Times.
Correlation isn’t causation. But there’s reason to think this timing isn’t coincidental.
In one recent study, economists from the University of Cincinnati examined how teen fertility changed in different American and British localities as they gained access to 4G mobile networks. They found that the arrival of high-speed internet consistently accelerated declines in adolescent birth rates and conceptions. Their explanation for this phenomenon is straightforward: When the center of adolescent life moves online, in-personal socializing declines — and with it, opportunities for one thing to lead to another.
Time-use data lends credence to this theory. Across 21 European nations, the share of people who got together with their friends on a daily basis fell from 21 percent in 2006 to 12 percent in 2022. In the US, meanwhile, time spent on in-person social interaction has plunged during the smartphone era.
Taken together, these data points appear to tell a simple story: When humans acquire 24/7 access to social media platforms and unlimited digital entertainment, they feel less need to hang out with peers in the real world — and demand more from potential partners.
“When phones become ever more engaging and ever more exciting, then you want a super engaging person,” Evans, the social scientist, said. “He’s got to be better than an episode of Bridgerton.”
Thus, some retreat from the frictions of in-person socialization entirely. Others forfeit opportunities to hone their social skills or find suitable but imperfect mates. Sexlessness ensues.
It isn’t hard to see how AI could accelerate these trends.
Streaming and social media might have made the solitary life less dull and uncomfortable. But Pornhub won’t talk with you about your career anxieties, favorite Civil War battle, or debilitating fear of iguanas. And TikTok won’t provide discrete reassurance about that new mole on your chest. Before 2022, securing this sort of sympathetic ear typically required forging and sustaining real-world relationships.
But now, Claude, Gemini, and ChatGPT are happy to oblige.
Thus, if smartphones were outcompeting offline interaction before they hosted chatbots, they seem even better equipped to do so today.
Separately, AI may also widen the gap between young people’s romantic expectations and dating realities.
Frequent interaction with a chatbot — who perpetually centers your concerns, never loses patience, and always has something to say about your topics of interest — could encourage unrealistic standards for human conversation, particularly among those who’ve used AI intensively from an early age.
Of course, these are mere speculations. And research into AI’s impacts on in-person socialization and dating is limited. But there is some evidence that chatbots could be expediting young people’s drift towards solitude and sexlessness.
In a study published in 2025 from OpenAI and MIT, researchers tracked 981 participants’ use of AI chatbots over a four-week period. They found that subjects who voluntarily spent more time talking with LLMs during that span became more socially isolated by the study’s end.
This doesn’t necessarily mean that heavy chatbot use caused people to socialize less with other humans. After all, those who lack hangout opportunities might be more inclined to talk with chatbots. And yet, those who used AI intensively during the study had roughly as active social lives as other participants when the trial period began. Therefore, it seems likely that — at least in some cases — bonding with ChatGPT led to social isolation rather than vice versa.
Meanwhile, survey data suggest that people are turning to chatbots for companionship or romantic stimulation in growing numbers. In a 2025 poll from Brigham Young University’s Wheatley Institute, 19 percent of American adults — including 31 percent of young men — said they had chatted with an AI system meant to simulate a romantic partner.
More recently, the institute examined the use of these pseudo-significant others by young Americans in committed relationships. In its survey, 15 percent of young adults with human partners reported having a secret AI romantic relationship. And among this significant minority, more than 70 percent of men — and nearly 60 percent of women — agreed with the statement, “I wish conversations with my partner were like AI.” And more than half of both male and female users of AI companions said they wished their human partners “behaved like my AI.”
Perhaps more concerningly, respondents who used AI companions regularly were more likely to be in unstable relationships — in which they often thought that their partnership was in trouble, or discussed ending the relationship, or had broken up and gotten back together.
Once again, causality is difficult to determine. People in unstable relationships might be more inclined to seek artificial companionship. But chatbots’ influence on their users’ expectations are likely a factor, according to the report’s co-author Brian Willoughby.
“The more I talk to an AI companion that is always validating me, always taking my side, and always talking about what I want to talk about,” Willoughby said, “the more conversations with my real-life partner — who has their own views — will start paling in comparison to those AI interactions.”
And silicon substitutes for human intimacy will only grow more sophisticated and holistic in the coming decades. Or so many in and around the tech industry believe.
Daniel Faggella, founder of Emerj Artificial Intelligence Research, believes that advances in AI, virtual reality, and mechanized sex toys will eventually render human intercourse an obsolete pastime — one largely confined to nostalgists and connoisseurs, like driving stick shift.
“The great sexual organ is the brain,” Faggella told me. “If you have the visuals, the voice, the haptics, the sound, real-time biofeedback — and even very crude physical implements to go along with them — I think you’re going to beat the human flesh experience every time.”
I suspect that sex has more staying power than Faggella allows. But erotic AI doesn’t need to fully displace intimacy to accelerate the dating recession and fertility crisis. It merely needs to lure a sizable minority of men and women away from the hassle and heartbreak of human relationships. Judging by existing trends, superintelligent sexbots seem liable to meet that challenge.
AI’s effects on human sociality remain uncertain. In theory, artificial intelligence could benefit human relationships and fertility — by, for example, helping awkward adolescents refine their conversational skills or providing troubled couples with on-demand counseling.
Moreover, some experts question how much smartphones actually changed fertility trends. In the view of University of Pennsylvania economist Jesús Fernández-Villaverde, the fundamental causes of the 2010s fertility collapse are long-term structural forces — among them, secularization, the “dissolution of old social networks,” and the rise of a service economy in which women’s relative economic power has increased.
Social media and streaming may have accelerated these processes, in Fernández-Villaverde’s view, by diffusing feminist ideas: Over the past decade, women in patriarchal societies have gained unprecedented access to commentary and dramas that affirm their desire for autonomy and idealize egalitarian marriages (Evans and Burn-Murdoch also put considerable weight on this dynamic). But he believes that this merely hastened already inevitable declines.
“Cellphones matter a little bit,” Fernández-Villaverde said. “But it’s not because people are spending their whole life playing Pokémon. It’s because they’re seeing what the rest of the world looks like and deciding that they want to do things differently.”
Nevertheless, it is clear that mass smartphone adoption coincided with falling in-person socialization — and rising singledom — in all manner of different countries. And there are some signs that AI is further displacing face-to-face interaction and distorting relationship expectations. In any case, the tech industry has a strong incentive to generate evermore compelling substitutes for human connection.
“Here in the Bay Area, all these startups are trying to make apps that will compete in the attention economy,” Evans said. “All these genius software engineers are trying to make something that hooks you in. So I’d predict that the market will enable AI to outcompete humans — they will be funnier, more charming, and enticing.”
At the very least, that possibility warrants concern, given the potential consequences for both fertility and human welfare.
If the past decade is any guide, technological progress may be speeding us toward a future of ubiquitous ghost towns, scarce children, and nursing homes full of gray-haired hermits, each passing their days with VR paramours as civilization slowly unwinds.
There are worse fates. But ideally, humanity would hold out for a better one.
The all-new Siri AI looks like it’s finally coming to iPhone in 2026, after much drama, analyst hand-wringing, and two years later than expected.
WWDC is Apple’s annual developer conference. It’s held every June and gives developers and fans alike a glimpse of what to expect when Apple rolls out its major operating system updates in the fall.
This year is somewhat of a banner year, now, all thanks to one announcement. It finally seems like we’re going to get a brand new, contextualized Siri AI
You know, the one that we were initially promised in 2024.
As well as the new name, Siri AI’s upgrade looks a bit different from what we were initially given. Instead of the iPhone being bordered by a rainbow of colors, Siri now springs to life from the Dynamic Island with a Liquid Glass appearance.
In addition to familiar verbal commands, Siri AI is now able to work with data from multiple apps to provide answers to prompts. There’s now also a dedicated Siri AI app that works across platforms.
Example of a conversation with the new Siri AI – image credit: Apple
It can also maintain a conversation with users, allowing for follow-up questions and prompts. At any point, Siri AI can be activated by “Hey, Siri,” or pressing on the iPhone’s side button.
On the Mac, it’s part of Spotlight. Instead of the old “Type to Siri” that was reached by pressing the Command key twice, Spotlight recognizes a Siri request and passes it to the new Siri AI.
Siri AI then enters a chatbot-style interface, as previously rumored. Apple says that as well as data from a user’s apps, it has World Knowledge, which means it can retrieve information from the web.
Now Siri AI is also part of the Camera app. Instead of launching Visual Intelligence, Siri can analyze photos directly from the camera.
Apple says the most powerful on-device AI models will not be on all devices – image credit: Apple
But the biggest takeaway is that we’re finally getting the contextual Siri we’ve been hoping for, natural language prompts and all.
Apple first introduced its idea for a new, more personal Siri in 2024. At that time, Apple believed that while the revamped personal assistant may not make it to the iOS 18 launch, it most certainly would be out before the year was over.
Siri AI on the Mac is now part of Spotlight – image credit: Apple
And then Apple believed that Siri would make its debut in March, as part of the iOS 18.4 update that introduced other Apple Intelligence features. But, it didn’t.
Apple soon realized that it had bitten off more than it could chew. In March 2025, the company announced that Siri would be delayed for an indeterminate amount of time.
And then came the shakeups. That same month, John Giannandrea was ousted as the Siri chief, replaced by Mike Rockwell.
The following month, it was learned that Apple would be sending nearly 200 engineers to a multi-week AI vibecoding bootcamp to help shore up coding deficiencies.
Since then, Apple’s been working on Siri behind the scenes. Months would go by without much news, either from Apple or purported insider knowledge.
Then, in October 2025, CEO Tim Cook announced that Siri would finally appear in its newest form “on time” in 2026. Of course, saying “in 2026” is still hedging, as it gave the developers a 365-day deadline.
All these delays haven’t reflected well on Apple, either. Apple got hit with a class action lawsuit, which was eventually settled in December 2025 for $250 million.
Apple has announced a refreshed version of the iPhone’s Screen Time features for iOS 27, giving parents a new way to ensure children only access the content that’s right for them.
Alongside iOS 27, parental controls will also extend to the iPad with iPadOS 27 and the Mac, with macOS 27.
Screen Time has long allowed parents to limit which apps their kids use, and how long they can use them. With iOS 27, announced at WWDC 2026, Apple has refreshed the way this system works.
With iOS 27, Apple makes it easier for parents to create a new Apple Account for their children. They’ll be shown how to modify their child’s access to the apps installed on that device. More apps can be enabled over time, too.
Apple also announced that iOS 27 will build on an existing feature that allows children to request access to an app. With iOS 27 installed, this will be expanded to include websites, giving parents the ability to preview the site before approving it for viewing.
With Apple’s 2026 software updates, kids will also be warned if they receive an iMessage that includes blood or gore. Currently, this feature is limited to images with possible nudity.
Time Allowances will give parents more control over how long and when their children can use their devices. Building on the existing Screen Time features, Time Allowances is a clearer, more easily managed system at a time when screen time is a hot topic for parents.
To help back up this refreshed and expanded Screen Time experience, developers will be given a slew of APIs to use. Apple’s new software updates will then hook into these APIs when managing a child’s access to apps and features.
Apple’s new software updates are set to be made available for all of its platforms later in 2026.
Engineers as well as designers from Axiom Space and Prada pulled back the curtain last weekend in New York on the inner layer that will sit closest to astronauts during future lunar surface work. The garment forms a key piece of the AxEMU spacesuit developed for NASA’s Artemis program. Astronauts step into this form-fitting piece first. Light gray fabric stretches across the body in a streamlined silhouette while clear tubing traces deliberate paths over the torso, arms, and legs. A single red stripe runs down one sleeve as a quiet nod to Prada’s activewear roots.
Water flows through the primary network of tubes, absorbing heat from the astronaut’s muscles. That warmed liquid then travels to the portable life support system strapped to the astronaut’s back, where it releases its heat into space. Meanwhile, an entirely distinct system supplies new oxygen to the helmet and collects exhaled carbon dioxide, which is then cleaned and reused. In fact, added redundancy adds another layer of protection: a second, fully operational cooling loop runs parallel to the first. If the main system fails, the backup system takes over seamlessly, ensuring that temperature control is never disrupted during one of these excursions.
Prada contributed decades of expertise in high-end textiles, unique knitting processes, and precision garment manufacturing to this project. Axiom offered aerospace expertise, life support integration, and 3D modeling tools that designed each tube route to improve cooling efficiency while allowing the wearer to move freely. The two teams worked back and forth through several different models, determining which materials performed best in certain scenarios and on different body types. A set of connectors at the waist connects the garment’s tubes directly to the rest of the suit’s systems. The entire design is suitable for eight-hour spacewalks and is built to be reused over long-duration missions, thanks to specific fibers selected with Prada’s involvement.
This suit’s inner layer outperforms the spacesuits currently deployed on the International Space Station. The earlier designs just did not have that level of built-in backup cooling, and the degree of customisation available with these newer suits is a huge advantage. Materials were also chosen to solve specific issues connected with the lunar environment, such as plasma interactions, which prior suits were never designed to handle. Axiom Space was awarded a contract from NASA to develop these suits several years ago. The qualification gear is presently being tested on the ground, with an in-space demonstration scheduled for next year, and the company is on track to support crewed trips to the lunar surface during the Artemis IV mission later this decade.
[Source]
After being requested for years, Capcom is finally bringing one of its Resident Evil titles back to life. Resident Evil Veronica has been announced for a 2027 release, bringing back Resident Evil Code: Veronica–all with modernized gameplay, a reimagined storyline, and of course, next-gen visuals. The game is headed to PlayStation 5, Xbox Series X/S, Nintendo Switch 2, and PC via Steam.
Just like before, Resident Evil Veronica kicks off after the events of Resident Evil 2. A couple of months after the Raccoon City disaster, Claire travels to France in search of her brother, Chris Redfield. However, the reunion goes awry with Umbrella’s special forces capturing her and sending her to Rockfort Island, which soon becomes another biological disaster zone.
This was the exact setup for Code: Veronica, which is also what set it apart from the other mainline entries in the popular franchise. It was never numbered, which made it easier for casual players to skip, but it is far from a throwaway side entry. It continues Claire and Chris Redfield’s story, leans heavily into Umbrella’s lingering mess, and helps bridge the older survival-horror era with the more dramatic tone the franchise would later embrace.
Resident Evil Code: Veronica has long sat in an odd place within the series, overlooked by some because it was not a numbered entry, but kept alive by a dedicated fanbase that never stopped asking for its return. With more older titles getting fresh remakes, it made sense for Veronica to be next–and Capcom did not disappoint. Resident Evil Veronica preserves the essence of the 2000 game while adding modern gameplay and a reworked story.
The original Code: Veronica is beloved, but it is also one of the less forgiving classic Resident Evil games. Its old-school structure, harsh resource management, and dated controls made it memorable for the right and wrong reasons. So a modern remake could make it far more approachable without losing the nasty, isolated atmosphere that made Rockfort Island stand out.
At the moment, Capcom has only given Resident Evil Veronica a broad 2027 release window. The Steam page does not list a price or exact launch date yet, and system requirements are still marked as TBD. Even with those missing details, this is a big one for Resident Evil fans. After remakes of Resident Evil 2, Resident Evil 3, and Resident Evil 4, Code: Veronica was the obvious unfinished business. Now, it is finally getting its turn.
British Prime Minister Keir Starmer on Monday asked tech companies operating in the UK to prevent children from taking, sending and receiving nude images. If they fail to do so, the UK will change the law, he said.
“I am calling on tech companies operating in this country to introduce device controls that prevent children from sending and receiving sexually explicit images,” Starmer said in a speech at London Tech Week. “This is not an impossible challenge. These are some of the most innovative companies in the world and I believe they can solve it, but if they choose not to, then we will act.”
The British government is asking tech companies, including Apple and Google, to put in place device-level controls to prevent nude images of children within the next three months. It wants the technology to be available across both new and existing phones.
“Google is deeply committed to protecting children online. We are working constructively with UK partners to find effective, privacy-preserving solutions that deter the spread of harmful content while ensuring a safe digital environment for young people,” said a Google spokesperson in an emailed statement.
A representative for Apple didn’t immediately respond to a request for comment.
Starmer is also mulling new rules that would ban social media for children under the age of 16, similar to the ban already in place in Australia, according to the Times.
Many children, especially teenagers, take, share and receive naked photos without their parents being aware. This behavior is illegal and also puts children at risk of blackmail, bullying, sexual harassment or child exploitation. The UK is the first country to demand that tech companies help keep children safe by preventing them from taking nude photos and circulating them online.
In a statement supporting Starmer’s announcement on device controls, the UK’s National Crime Agency said the restrictions have the potential to stop some of the most serious forms of online child sexual abuse before they begin.
“Many of the most serious cases begin with offenders coercing children into creating and sharing sexual images of themselves,” said Graeme Biggar, NCA director general. “Once those images exist, they can be used for blackmail, humiliation and repeated exploitation. Preventing children from taking, sharing or receiving nude images can stop abuse before it starts and so would be an important step forward.”
But not everyone welcomed Starmer’s comments. “Protecting children online is vital, but these are outrageous plans that will fail to address the underlying causes of online harm,” Silkie Carlo, director of rights group Big Brother Watch, said in a statement. “This will only result in population-wide ID checks for all of us to use our phones, tablets and laptops.”
Starmer’s request isn’t designed to prevent adults from taking and sending nudes, but attempts to make the internet safer for young people can also affect adults online. The UK’s Online Safety Act requires that many corners of the internet, including Reddit, verify the ages of people accessing their services. In the same way, it’s entirely possible that this request could result in people having to prove their identity in order to use a device without a child lock.
PwC’s Raymond Martin explores his day to day at the intersection of technology and healthcare.
“I lead technology-driven transformation for PwC’s health sector clients in Ireland, helping them improve patient care, expand access to services and run more efficient operations,” said Raymond Martin, a health technology director for the organisation.
He explained that, more and more, healthcare teams are being asked to do more with the same resources, so targeted transformation using technology is often the single biggest lever for change.
Here he discusses his day to day at PwC.
There really isn’t one and that’s a positive. The pace of change across technology, health and business over the last five years has been astonishing and AI has put it into overdrive in the last two.
My time tends to split three ways. First, overseeing live client delivery, technology roll-outs in acute hospitals, community teams and national programmes, often involving significant redesign of care pathways to enhance collection and use of data and promote data and process standardisation. Second, working with our clinical and operational experts to shape new services based on what clients are asking for and the trends we’re seeing globally. Third, helping our PwC team evolve and working out what the market shift means for our people, their skills and their careers.
It’s night and day. 20 years ago, health-tech was dominated by back-office systems, heavy custom development, complex configuration projects and clinical systems that were largely paper-based or niche high tech. Delivery of any change took years.
When I started on Medicaid systems in the US in 2008, the average time from design to first release was four years and some releases might be a year apart. Five years later, working on the Patient Protection and Affordable Care Act in California, that had dropped to two years. The explosion of cloud infrastructure and SaaS platforms brought it down to under a year and Covid compressed it again to months.
During Covid, for the New Mexico Department of Health, I led a team through mobilisation of a contact centre, CRM deployment and the onboarding of hundreds of staff, beginning operations within 30 days and adding most functionality within three months of that. The challenge for us is making sure governance and methodology keep pace so speed doesn’t introduce new risk. The other big shift is the democratisation of technology. 20 years ago, technology was a niche skill. Today our clients come prepared, fluent in the tools and often using AI to enhance their own awareness and position in conversations.
It’s hard to find a corner of healthcare that technology won’t touch. The clinician-patient relationship will remain the human core, but everything around it is changing fast. Data is the first frontier. Healthcare generates extraordinary volumes of rich data, but it has historically been trapped in silos, useful inside one system or location, invisible everywhere else.
Joining that data across boundaries unlocks huge value, like better national and local service planning for a start. With better access to clinical data and the ability to augment it with lifestyle data from wearable devices and eating habits, patients can actively manage their own health as well as their care journeys. The most obvious advantage is it gives clinicians a fuller picture of the person in front of them.
Beyond the clinical interaction, cloud platforms and AI are reshaping access to care. Virtual consultations, remote monitoring and hospital-at-home are becoming normal. AI assistants will help people build healthier habits and manage conditions preventatively. Genetic screening will drive tailored therapies into the mainstream and AI-accelerated trials will shorten the path from discovery to approval. And that’s just the start.
The pace of technology change is now stress-testing the governance and procurement models organisations rely on. They simply weren’t built for this rate of arrival.
Healthcare and public sector clients feel it most because they operate in highly regulated environments and rightly so. Patient safety, public confidence, data privacy and responsible use of public money are the currencies they trade in.
‘Move fast and break things’ is not a viable strategy in a hospital. Processes must be proven safe and compliant before they can be adopted. Our role is to help our clients adopt new technology at pace without compromising on those fundamentals, putting the right methodologies, assurance frameworks and clinical governance in place so innovation and safety move forward together.
Another challenge our clients are grappling with is finding the right path to adopt AI and get real return on the investment. That came through clearly in PwC’s recent Global Performance Survey. The answer is moving beyond isolated proof-of-value pilots into AI-enabled process handling at scale, and examining growth opportunities rather than just cost savings. In healthcare, that translates to taking administrative burden off frontline and back-office staff, applying AI to the problems it’s genuinely better at. That’s where real value can be unlocked.
AI is the story of 2026. It has moved out of novelty and experimentation into mainstream adoption. A significant share of the population now uses it daily, including clinicians and patients. People have seen what AI does for the customer service they get from their insurance company, their utility provider, or their streaming service and they expect the same standard from their healthcare provider. Chat tools mean patients arrive at appointments better informed about their own conditions, which is changing the dynamic of consultations. We’re also seeing native AI companies turn their focus to health, which will accelerate the pipeline of AI-driven products coming to market.
Stay positive. There’s a lot of pessimism in the headlines about disruption and changing business models, but disruption is often the biggest accelerator of opportunity. If you look beyond the displacement headlines, there’s a bigger story about the opportunities being created by AI.
This is the fifth major technology disruption cycle of my career, starting with the dot-com crash in 2001. I was an intern expecting a graduate job that didn’t materialise because of the crash. That led to a different job and a career that took me from Ireland to the US, Canada, India, the UK and a few places in between.
Every cycle since, from the financial crash of 2008 to the cloud and SAAS revolution of 2011, even Covid, has been initially destructive but has ultimately created more opportunities for people in this industry. This is the reality we’re seeing as right now we are growing and hiring for our advisory health team.
My second piece of advice, don’t wait for doors to be opened for you. Ask. Tell people what you’re interested in, ask for new roles, ask for introductions, find out what’s possible. You manage your own career. That’s as true now as it has ever been.
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Jeff Bezos is backing Flourish, a new “neuro AI” startup with $500 million in funding and a reported $2.5 billion valuation, that aims to reinvent AI by studying the brain’s architecture and building systems that learn continuously while using far less power than today’s large language models. The company’s long-term bet is that neuroscientists and AI researchers working together can uncover the brain’s “core algorithm” and eventually create brain-inspired AI that runs on a tiny fraction of current compute. Wired reports: Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot as an executive on Amazon’s “S-team,” in charge of software products such as Alexa, until his departure last fall. But the pitch he made a few weeks later — in December 2025 — was different. Now he was collaborating with Thomas Reardon, a neuroscientist and repeat startup founder, and approaching Bezos as a funder, not a boss. Here’s what Bezos, sitting on his yacht somewhere, read while Williams anxiously watched on Zoom: “Flourish is a neuro AI company that is solving the two most difficult problems facing AI today: power efficiency and continuous learning. We are building Cortex AI, the first synthetic intelligence system designed to match the computational capacity, learning efficiency, and power budget of the human brain.”
A month later, I’m lunching with Reardon and Williams in the Flatiron neighborhood in New York City. Reardon gets right to the point. AI has dug itself into a hole, he says. Though increasingly powerful, large language models are greedy consumers of computer power and data. Though the inspiration for LLMs was rooted in biology, current frontier models have little in common with the human brain. A person uses about 20 watts of energy to process information; a single chip in an AI training cluster uses more than 30 times that amount. The hyperscalers require thousands of chips and gigawatts of energy, enough to power small cities. And those models need to suck up virtually all of what humans have written. Each new model requires more, more, more. For all of that, the models don’t learn. Once you train them, they’re stuck. The goal, Reardon tells me, is to build “a synthetic artificial intelligence brain that runs on 50 watts or less.” It should adapt to its conditions, be as nimble as a human mind, and burn a tiny fraction of an LLM’s compute power and energy. The proof of concept is thriving inside our skulls. “There’s something fundamentally wrong with saying, “I need to basically read every book ever written 20 times over in order to learn English,’” Reardon says. “A human baby does it with a couple hundred thousand utterances.”
Reardon and Williams haven’t figured out yet how to build systems that match the magic of a human brain. What they have is a belief that an expert, well-resourced team — of AI researchers and neuroscientists working essentially side by side — can find the answer. The neuroscientists will conduct original wet lab experiments with some of the most advanced lab equipment available, to hunt for usable intel on the brain’s architecture. They plan to release the models they’re currently developing as near-term products on the path to a full reinvention of AI. The fuzziness of the proposal didn’t bother Jeff Bezos. After reading Williams’ two-pager, he chipped in $50 million. Other funding came from Lux Capital, Google Ventures, and Catalio, among others. Bezos then almost doubled his initial stake and told Reardon he’d have given more if they’d asked. Now with a war chest of $500 million and a reported valuation of $2.5 billion, Flourish just needs to invent a new way to do AI.
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