In an interview with Wired (paywalled), OnePlus co-founder and Nothing CEO, Carl Pei, said the future of smartphones will center around the OS and AI to get things done -- rendering traditional apps a thing of the past. 9to5Google reports: Pei says that Nothing's strength is in "creativity," adding that "the creative companies of the past" such as Apple "have become very big and very corporate, and they're no longer very creative." He then dives into what else but AI, explaining that Nothing wants to create the "iPod" of AI, saying that Apple built a product that simply built a better user experience: "If you look back, the iPod was not launched as 'an MP3 player with a hard disk drive.' The hard disk drive was merely a means to a better user experience. AI is just a new technology that enables us to create better products for users. So, our strategy is not to make big claims that AI is going to change the world and revolutionize smartphones. For us, it's about using it to solve a consumer problem, not to tell a big story. We want the product to be the story."

Pei then says that he doesn't see the current trend of AI products -- citing wearables such as smart glasses -- as the future of the technology. Rather, he sees the smartphone as the most important device for AI "for the foreseeable future," but as one that will "change dramatically." According to Pei, the future of the smartphone is one without apps, with the experience instead just revolving around the OS and what it can do and how it can "optimize" for the user, acting as a proactive, automated agent and that, in the end, the user "will spend less time doing boring things and more time on what they care about."

alternative_right writes: The site looks like an ordinary Star Wars fan website from around 2010. But starwarsweb.net was actually a tool built by the Central Intelligence Agency (CIA) to covertly communicate with its informants in other countries.

31 years ago FreeBSD was first released. But here in 2025, searches for the Unix-like FreeBSD OS keep increasing on Google, notes the official FreeBSD blog — and it's at least a two-year trend. Yet after talking to some businesses using (or interested in using) FreeBSD, they sometimes found that because FreeBSD isn't talked about as much, "people think it's dying. This is a clear example of the availability heuristic. The availability heuristic is a fascinating mental shortcut. It's how product names become verbs and household names. To 'Google' [search], to 'Hoover' [vacuum], to 'Zoom' [video meeting]. They reached a certain tipping point that there was no need to do any more thinking. One just googles , or zooms .

These days, building internet services doesn't require much thought about the underlying systems. With containers and cloud platforms, development has moved far from the hardware. Operating systems aren't top of mind — so people default to what's familiar. And when they do think about the OS, it's usually Linux. But sitting there, quietly powering masses of the internet, without saying boo to a goose, is FreeBSD. And the companies using it? They're not talking about it. Why? Because they don't have to. The simple fact that dawned on me is FreeBSD's gift to us all, yet Achilles heel to itself, is its license.

Unlike the GPL, which requires you to share derivative works, the BSD license doesn't. You can take FreeBSD code, build on it, and never give anything back. This makes it a great foundation for products — but it also means there's little reason for companies to return their contributions... [W]e'd like to appeal to companies using FreeBSD. Talk to us about your use case... We, the FreeBSD Foundation, can be the glue between industry and software and hardware vendors alike.

In the meantime, stay tuned to this blog and the YouTube channel. We have some fantastic content coming up, featuring solutions built on top of FreeBSD and showcasing modern laptops for daily use.

"Duolingo had been riding high," reports Fast Company, until CEO Luis von Ahn "announced on LinkedIn that the company is phasing out human contractors, looking for AI use in hiring and in performance reviews, and that 'headcount will only be given if a team cannot automate more of their work.'"

But then "facing heavy backlash online after unveiling its new AI-first policy", Duolingo's social media presence went dark last weekend. Duolingo even temporarily took down all its posts on TikTok (6.7 million followers) and Instagram (4.1 million followers) "after both accounts were flooded with negative feedback." Duolingo previously faced criticism for quietly laying off 10% of its contractor base and introducing some AI features in late 2023, but it barely went beyond a semi-viral post on Reddit. Now that Duolingo is cutting out all its human contractors whose work can technically be done by AI, and relying on more AI-generated language lessons, the response is far more pronounced. Although earlier TikTok videos are not currently visible, a Fast Company article from May 12 captured a flavor of the reaction:

The top comments on virtually every recent post have nothing to do with the video or the company — and everything to do with the company's embrace of AI. For example, a Duolingo TikTok video jumping on board the "Mama, may I have a cookie" trend saw replies like "Mama, may I have real people running the company" (with 69,000 likes) and "How about NO ai, keep your employees...."
And then... After days of silence, on Tuesday the company posted a bizarre video message on TikTok and Instagram, the meaning of which is hard to decipher... Duolingo's first video drop in days has the degraded, stuttering feel of a Max Headroom video made by the hackers at Anonymous. In it, a supposed member of the company's social team appears in a three-eyed Duo mask and black hoodie to complain about the corporate overlords ruining the empire the heroic social media crew built.
"But this is something Duolingo can't cute-post its way out of," Fast Company wrote on Tuesday, complaining the company "has not yet meaningfully addressed the policies that inspired the backlash against it... "

So the next video (Thursday) featured Duolingo CEO Luis von Ahn himself, being confronted by that same hoodie-wearing social media rebel, who says "I'm making the man who caused this mess accountable for his behavior. I'm demanding answers from the CEO..." [Though the video carefully sidesteps the issue of replacing contractors with AI or how "headcount will only be given if a team cannot automate more of their work."] Rebel: First question. So are there going to be any humans left at this company?

CEO: Our employees are what make Duolingo so amazing. Our app is so great because our employees made it... So we're going to continue having employees, and not only that, we're actually going to be hiring more employees.

Rebel: How do we know that these aren't just empty promises? As long as you're in charge, we could still be shuffled out once the media fire dies down. And we all know that in terms of automation, CEOs should be the first to go.

CEO: AI is a fundamental shift. It's going to change how we all do work — including me. And honestly, I don't really know what's going to happen.

But I want us, as a company, to have our workforce prepared by really knowing how to use AI so that we can be more efficient with it.

Rebel: Learning a foreign language is literally about human connection. How is that even possible with AI-first?

CEO: Yes, language is about human connection, and it's about people. And this is the thing about AI. AI will allow us to reach more people, and to teach more people. I mean for example, it took us about 10 years to develop the first 100 courses on Duolingo, and now in under a year, with the help of AI and of course with humans reviewing all the work, we were able to release another 100 courses in less than a year.

Rebel: So do you regret posting this memo on LinkedIn.

CEO: Honestly, I think I messed up sending that email. What we're trying to do is empower our own employees to be able to achieve more and be able to have way more content to teach better and reach more people all with the help of AI.
Returning to where it all started, Duolingo's CEO posted again on LinkedIn Thursday with "more context" for his vision. It still emphasizes the company's employees while sidestepping contractors replaced by AI. But it puts a positive spin on how "headcount will only be given if a team cannot automate more of their work." I've always encouraged our team to embrace new technology (that's why we originally built for mobile instead of desktop), and we are taking that same approach with AI. By understanding the capabilities and limitations of AI now, we can stay ahead of it and remain in control of our own product and our mission.

To be clear: I do not see AI as replacing what our employees do (we are in fact continuing to hire at the same speed as before). I see it as a tool to accelerate what we do, at the same or better level of quality. And the sooner we learn how to use it, and use it responsibly, the better off we will be in the long run. My goal is for Duos to feel empowered and prepared to use this technology.

No one is expected to navigate this shift alone. We're developing workshops and advisory councils, and carving out dedicated experimentation time to help all our teams learn and adapt. People work at Duolingo because they want to solve big problems to improve education, and the people who work here are what make Duolingo successful. Our mission isn't changing, but the tools we use to build new things will change. I remain committed to leading Duolingo in a way that is consistent with our mission to develop the best education in the world and make it universally available.
"The backlash to Duolingo is the latest evidence that 'AI-first' tends to be a concept with much more appeal to investors and managers than most regular people," notes Fortune: And it's not hard to see why. Generative AI is often trained on reams of content that may have been illegally accessed; much of its output is bizarre or incorrect; and some leaders in the field are opposed to regulations on the technology. But outside particular niches in entry-level white-collar work, AI's productivity gains have yet to materialize.

It's like "a USB-C port for AI applications..." according to the official documentation for MCP — "a standardized way to connect AI models to different data sources and tools."

And now Microsoft has "revealed plans to make MCP a native component of Windows," reports DevClass.com, "despite concerns over the security of the fast-expanding MCP ecosystem." In the context of Windows, it is easy to see the value of a standardised means of automating both built-in and third-party applications. A single prompt might, for example, fire off a workflow which queries data, uses it to create an Excel spreadsheet complete with a suitable chart, and then emails it to selected colleagues. Microsoft is preparing the ground for this by previewing new Windows features.

— First, there will be a local MCP registry which enables discovery of installed MCP servers.

— Second, built-in MCP servers will expose system functions including the file system, windowing, and the Windows Subsystem for Linux.

— Third, a new type of API called App Actions enables third-party applications to expose actions appropriate to each application, which will also be available as MCP servers so that these actions can be performed by AI agents. According to Microsoft, "developers will be able to consume actions developed by other relevant apps," enabling app-to-app automation as well as use by AI agents.

MCP servers are a powerful concept but vulnerable to misuse. Microsoft corporate VP David Weston noted seven vectors of attack, including cross-prompt injection where malicious content overrides agent instructions, authentication gaps because "MCP's current standards for authentication are immature and inconsistently adopted," credential leakage, tool poisoning from "unvetted MCP servers," lack of containment, limited security review in MCP servers, supply chain risks from rogue MCP servers, and command injection from improperly validated inputs. According to Weston, "security is our top priority as we expand MCP capabilities."
Security controls planned by Microsoft (according to the article):

• A proxy to mediate all MCP client-server interactions. This will enable centralized enforcement of policies and consent, as well as auditing and a hook for security software to monitor actions.
• A baseline security level for MCP servers to be allowed into the Windows MCP registry. This will include code-signing, security testing of exposed interfaces, and declaration of what privileges are required.
• Runtime isolation through what Weston called "isolation and granular permissions."

MCP was introduced by Anthropic just 6 months ago, the article notes, but Microsoft has now joined the official MCP steering committee, "and is collaborating with Anthropic and others on an updated authorization specification as well as a future public registry service for MCP servers."

An anonymous reader quotes a report from Jalopnik: With the gradual rise of semi-autonomous vehicles, there will likely be multiple cameras pointing back when you pull out a phone to take a photo or record video of a car. One reddit user found out earlier this month that car-mounted lidar sensors can damage a phone camera under certain circumstances. It was the technological equivalent of staring directly into the Sun. Their phone's camera was toast, but only because it was close-up and pointed directly at the lidar sensor.

Reddit user u/Jeguetelli posted worrying footage of a brand new Volvo EX90 from his iPhone 16 Pro Max. Nothing was wrong with the crossover SUV. That was the problem. The lidar sensor mounted in a pod above the windshield shot out a laser barrage of near-infrared light into the camera. The damage was immediate and obvious, leaving behind a red, pink and purple constellation of fried pixels. You can tell the permanent damage was to that specific lens because the image returned to normal after zooming out to a different lens. Jeguetelli didn't seem too concerned about the incident because he had Apple Care. In a statement to The Drive, Volvo confirmed that bad things can happen. "It's generally advised to avoid pointing a camera directly at a lidar sensor," the Swedish manufacturer said. "The laser light emitted by the lidar can potentially damage the camera's sensor or affect its performance."

"Using filters or protective covers on the camera lens can help reduce the impact of lidar exposure. Some cameras are designed with built-in protections against high-intensity light sources."

An interesting piece on Construction Physics that examines how Japan transformed discarded American wartime shipbuilding techniques into a revolutionary manufacturing system that captured nearly half the global market by 1970. The story reveals the essential ingredients for industrial dominance: government backing, organizational alignment, relentless will to improve, and the systematic coordination needed to turn existing technologies into something entirely new. A few excerpts: During WWII, the US constructed an unprecedented shipbuilding machine. By assembling ships from welded, prefabricated blocks, the US built a huge number of cargo ships incredibly quickly, overwhelming Germany's u-boats and helping to win the war. But when the war was over, this shipbuilding machine was dismantled. Industrialists like Henry Kaiser and Stephen Bechtel, who operated some of the US's most efficient wartime shipyards, left the shipbuilding business. Prior to the war, the US had been an uncompetitive commercial shipbuilder producing a small fraction of commercial oceangoing ships, and that's what it became again. At the height of the war the US was producing nearly 90% of the world's ships. By the 1950s, it produced just over 2%.

But the lessons from the US's shipbuilding machine weren't forgotten. After the war, practitioners brought them to Japan, where they would continue to evolve, eventually allowing Japan to build ships faster and cheaper than almost anyone else in the world.

[...] The third strategy that formed the core of modern shipbuilding methods was statistical process control. The basic idea behind process control is that it's impossible to make an industrial process perfectly reliable. There will always be some variation in what it produces: differences in part dimensions, material strength, chemical composition, and so on. But while some variation is inherent to the process (and must be accepted), much of the variation is from specific causes that can be hunted down and eliminated. By analyzing the variation in a process, undesirable sources of variation can be removed. This makes a process work more reliably and predictably, reducing waste and rework from parts that are outside acceptable tolerances.

AT&T is buying CenturyLink's consumer fiber broadband division for $5.75 billion, "giving the internet provider another 1.1 million fiber customers in 11 states," reports Ars Technica. "The all-cash deal is expected to close during the first half of 2026 assuming the companies obtain regulatory approval. AT&T will gain new customers in Arizona, Colorado, Florida, Idaho, Iowa, Minnesota, Nebraska, Nevada, Oregon, Utah, and Washington." From the report: The deal will give AT&T room to grow its user base by more than the 1.1 million existing CenturyLink customers, as AT&T said the network areas being sold include over 4 million fiber-enabled locations. [...] The company, previously called CenturyLink, is officially named Lumen now but still uses the CenturyLink brand name for home Internet service. AT&T, which has 9.6 million (PDF) fiber customers and 14.1 million broadband customers overall, said the infrastructure it is purchasing will help it expand fiber construction to new locations as well.

The deal is also notable for what it doesn't include: Lumen's enterprise fiber customers and the old copper DSL lines that were never upgraded to fiber. [...] The deal seems unlikely to improve matters for CenturyLink copper users. [...] Lumen will retain the CenturyLink consumer copper broadband and voice services, but selling the consumer fiber business makes it clear that the telco isn't focused on residential customers. Lumen said that offloading consumer fiber lines will help sharpen its focus on selling services to large businesses. The company is maintaining its business fiber lines. [Ars notes that there are still nearly 1.4 million CenturyLink copper internet customers that will likely see service continue to degrade under Lumen's ownership.] "The transaction will enable AT&T to significantly expand access to AT&T Fiber in major metro areas like Denver, Las Vegas, Minneapolis-St. Paul, Orlando, Phoenix, Portland, Salt Lake City and Seattle, as well as additional geographies," AT&T said.

"AT&T will gain access to Lumen's substantial fiber construction capabilities within its incumbent local exchange carrier (ILEC) footprint and plans to accelerate the pace at which fiber is being built in these territories," AT&T said. "AT&T now expects to reach approximately 60 million total fiber locations by the end of 2030 -- "roughly doubling where AT&T Fiber is available today."

China has achieved substantial technological advances across robotics, AI, and semiconductor manufacturing as part of a seven-year self-reliance campaign that has tripled the country's research and development spending to $500 billion annually.

Chinese robot manufacturers captured nearly half of their domestic market by 2023, up from a quarter of installations just years earlier, while AI startups now rival OpenAI and Google in capabilities. The progress extends to semiconductors, where Huawei released a high-end smartphone powered by what industry analysts believe was a locally-produced advanced processor, despite U.S. export controls targeting China's chip access.

Morgan Stanley projects China's self-sufficiency in graphics processing units will jump from 11% in 2021 to 82% by 2027. Chinese companies have been purchasing as many industrial robots as the rest of the world combined, enabling highly automated factories that can operate in darkness. In space technology, Chinese firms won five of 11 gold medals when U.S. think tanks ranked the world's best commercial satellite systems last year, compared to four for American companies.

Apple is aiming to release smart glasses at the end of next year as part of a push into AI-enhanced gadgets, Bloomberg News reported Thursday, but it has shelved plans for a smartwatch that can analyze its surroundings with a built-in camera. From the report: Company engineers are ramping up work on the glasses -- a rival to Meta Platforms's popular Ray-Bans -- in a bid to meet the year-end 2026 target, according to people with knowledge of the matter. Apple will start producing large quantities of prototypes at the end of this year with overseas suppliers, said the people, who asked not to be identified because the products haven't been announced.

A new virtual machine manager called Karton is being developed specifically for the KDE Plasma desktop, aiming to offer a seamless, Qt-native alternative to GNOME-centric tools like GNOME Boxes. Spearheaded by University of Waterloo student Derek Lin as part of Google Summer of Code 2025, Karton uses libvirt and Qt Quick to build a user-friendly, fully integrated VM experience, with features like a custom SPICE viewer, snapshot support, and a mobile-friendly UI expected by September 2025. Neowin reports: To feel right at home in KDE, Karton is being built with Qt Quick and Kirigami. It uses the libvirt API to handle virtual machines and could eventually work across different platforms. Right now, development is focused on getting the core parts in place. Lin is working on a new domain installer that ditches direct virt-install calls in favor of libosinfo, which helps detect OS images and generate the right libvirt XML for setting up virtual machines more precisely. He's still refining device configuration and working on broader hypervisor support. Another key part of the work is building a custom SPICE viewer using Qt Quick from scratch:

If you're curious, here's the list of specific deliverables Lin included in his GSoC proposal, though he notes the proposal itself is a bit outdated [...]. For those interested in the timeline, Lin's GSoC proposal says the official GSoC coding starts June 2, 2025. The goal is to have a working app ready by the midterm evaluation around July 14, 2025, with the final submission due September 1, 2025. You can learn more via KDE.org.

Google has unveiled a major overhaul of its search engine with the introduction of A.I. Mode -- a new feature that works like a chatbot, enabling users to ask follow-up questions and receive detailed, conversational answers. Announced at the I/O 2025 conference, the feature is now being rolled out to all Search users in the U.S. Engadget reports: Google first began previewing AI Mode with testers in its Labs program at the start of March. Since then, it has been gradually rolling out the feature to more people, including in recent weeks regular Search users. At its keynote today, Google shared a number of updates coming to AI Mode as well, including some new tools for shopping, as well as the ability to compare ticket prices for you and create custom charts and graphs for queries on finance and sports.

For the uninitiated, AI Mode is a chatbot built directly into Google Search. It lives in a separate tab, and was designed by the company to tackle more complicated queries than people have historically used its search engine to answer. For instance, you can use AI Mode to generate a comparison between different fitness trackers. Before today, the chatbot was powered by Gemini 2.0. Now it's running a custom version of Gemini 2.5. What's more, Google plans to bring many of AI Mode's capabilities to other parts of the Search experience.

Looking to the future, Google plans to bring Deep Search, an offshoot of its Deep Research mode, to AI Mode. [...] Another new feature that's coming to AI Mode builds on the work Google did with Project Mariner, the web-surfing AI agent the company began previewing with "trusted testers" at the end of last year. This addition gives AI Mode the ability to complete tasks for you on the web. For example, you can ask it to find two affordable tickets for the next MLB game in your city. AI Mode will compare "hundreds of potential" tickets for you and return with a few of the best options. From there, you can complete a purchase without having done the comparison work yourself. [...] All of the new AI Mode features Google previewed today will be available to Labs users first before they roll out more broadly.

According to Bloomberg's Mark Gurman (paywalled), Apple has big plans to turn Siri into a true ChatGPT competitor. "A next-generation, chatbot version of Siri has reportedly made significant progress during testing over the past six months; some executives allegedly now see it as 'on par' with recent versions of ChatGPT," reports MacRumors. "Apple is also apparently discussing giving Siri the ability to access the internet to gather and synthesize data from multiple sources, just like ChatGPT." From the report: The report added that Apple now has artificial intelligence offices in Zurich, where employees are working on an all-new software architecture for Siri. This "monolithic model" is entirely built on an LLM engine that will eventually replace Siri's current "hybrid" architecture that has been incoherently layered up with different functionality over many years. The new model will make Siri more conversational and better at synthesizing information.

Google's Gemini is expected to be added to iOS 19 as an alternative to ChatGPT in Siri, but Apple is also apparently in talks with Perplexity to add their AI service as another option in the future, for both Siri and Safari search.

An anonymous reader quotes a report from Bloomberg: While using website data to build a Google Search topped with artificial intelligence-generated answers, an Alphabet executive acknowledged in an internal document that there was an alternative way to do things: They could ask web publishers for permission, or let them directly opt out of being included. But giving publishers a choice would make training AI models in search too complicated, the company concludes in the document, which was unearthed in the company's search antitrust trial.

It said Google had a "hard red line" and would require all publishers who wanted their content to show up in the search page to also be used to feed AI features. Instead of giving options, Google decided to "silently update," with "no public announcement" about how they were using publishers' data, according to the document, written by Chetna Bindra, a product management executive at Google Search. "Do what we say, say what we do, but carefully." "It's a little bit damning," said Paul Bannister, the chief strategy officer at Raptive, which represents online creators. "It pretty clearly shows that they knew there was a range of options and they pretty much chose the most conservative, most protective of them -- the option that didn't give publishers any controls at all."

For its part, Google said in a statement to Bloomberg: "Publishers have always controlled how their content is made available to Google as AI models have been built into Search for many years, helping surface relevant sites and driving traffic to them. This document is an early-stage list of options in an evolving space and doesn't reflect feasibility or actual decisions." They added that Google continually updates its product documentation for search online.

Thursday was Rust's 10-year anniversary for its first stable release. "To say I'm surprised by its trajectory would be a vast understatement," writes Rust's original creator Graydon Hoare. "I can only thank, congratulate, and celebrate everyone involved... In my view, Rust is a story about a large community of stakeholders coming together to design, build, maintain, and expand shared technical infrastructure." It's a story with many actors:

- The population of developers the language serves who express their needs and constraints through discussion, debate, testing, and bug reports arising from their experience writing libraries and applications.

- The language designers and implementers who work to satisfy those needs and constraints while wrestling with the unexpected consequences of each decision.

- The authors, educators, speakers, translators, illustrators, and others who work to expand the set of people able to use the infrastructure and work on the infrastructure.

- The institutions investing in the project who provide the long-term funding and support necessary to sustain all this work over decades.

All these actors have a common interest in infrastructure.
Rather than just "systems programming", Hoare sees Rust as a tool for building infrastructure itself, "the robust and reliable necessities that enable us to get our work done" — a wide range that includes everything from embedded and IoT systems to multi-core systems. So the story of "Rust's initial implementation, its sustained investment, and its remarkable resonance and uptake all happened because the world needs robust and reliable infrastructure, and the infrastructure we had was not up to the task." Put simply: it failed too often, in spectacular and expensive ways. Crashes and downtime in the best cases, and security vulnerabilities in the worst. Efficient "infrastructure-building" languages existed but they were very hard to use, and nearly impossible to use safely, especially when writing concurrent code. This produced an infrastructure deficit many people felt, if not everyone could name, and it was growing worse by the year as we placed ever-greater demands on computers to work in ever more challenging environments...

We were stuck with the tools we had because building better tools like Rust was going to require an extraordinary investment of time, effort, and money. The bootstrap Rust compiler I initially wrote was just a few tens of thousands of lines of code; that was nearing the limits of what an unfunded solo hobby project can typically accomplish. Mozilla's decision to invest in Rust in 2009 immediately quadrupled the size of the team — it created a team in the first place — and then doubled it again, and again in subsequent years. Mozilla sustained this very unusual, very improbable investment in Rust from 2009-2020, as well as funding an entire browser engine written in Rust — Servo — from 2012 onwards, which served as a crucial testbed for Rust language features.
Rust and Servo had multiple contributors at Samsung, Hoare acknowledges, and Amazon, Facebook, Google, Microsoft, Huawei, and others "hired key developers and contributed hardware and management resources to its ongoing development." Rust itself "sits atop LLVM" (developed by researchers at UIUC and later funded by Apple, Qualcomm, Google, ARM, Huawei, and many other organizations), while Rust's safe memory model "derives directly from decades of research in academia, as well as academic-industrial projects like Cyclone, built by AT&T Bell Labs and Cornell."

And there were contributions from "interns, researchers, and professors at top academic research programming-language departments, including CMU, NEU, IU, MPI-SWS, and many others." JetBrains and the Rust-Analyzer OpenCollective essentially paid for two additional interactive-incremental reimplementations of the Rust frontend to provide language services to IDEs — critical tools for productive, day-to-day programming. Hundreds of companies and other institutions contributed time and money to evaluate Rust for production, write Rust programs, test them, file bugs related to them, and pay their staff to fix or improve any shortcomings they found. Last but very much not least: Rust has had thousands and thousands of volunteers donating years of their labor to the project. While it might seem tempting to think this is all "free", it's being paid for! Just less visibly than if it were part of a corporate budget.

All this investment, despite the long time horizon, paid off. We're all better for it.
He looks ahead with hope for a future with new contributors, "steady and diversified streams of support," and continued reliability and compatability (including "investment in ever-greater reliability technology, including the many emerging formal methods projects built on Rust.")

And he closes by saying Rust's "sustained, controlled, and frankly astonishing throughput of work" has "set a new standard for what good tools, good processes, and reliable infrastructure software should be like.

"Everyone involved should be proud of what they've built."

An anonymous reader quotes a report from Patently Apple: It's being reported in the Gulf region that a new 5GW UAE-US AI Campus in Abu Dhabi was unveiled on Thursday at Qasr Al Watan in the presence of President His Highness Sheikh Mohamed bin Zayed Al Nahyan and US. President Donald Trump, who is on a state visit to the UAE. The new AI campus -- the largest of its kind outside the United States -- will host US hyperscalers and large enterprises, enabling them to leverage regional compute resources with the capability to serve the Global South. The UAE-US AI Campus will feature 5GW of capacity for AI data centers in Abu Dhabi, offering a regional platform through which US hyperscalers can provide low-latency services to nearly half of the global population.

Upon completion, the facility will utilize nuclear, solar, and gas power to minimize carbon emissions. It will also house a science park focused on advancing innovation in artificial intelligence. The campus will be built by G42 and operated in partnership with several US companies including NVIDIA, OpenAI, SoftBank, Cisco and others. The initiative is part of the newly established US-UAE AI Acceleration Partnership, a bilateral framework designed to deepen collaboration on artificial intelligence and advanced technologies. The UAE and US will jointly regulate access to the compute resources, which are reserved for US hyperscalers and approved cloud service providers. An official press release from the White House can be found here.

An anonymous reader quotes a report from ZDNet: Would you believe Microsoft has announced a new Linux distribution service for its Azure cloud service? You should. For many years, the most popular operating system on Azure has not been Windows Server, it's been Linux. Last time I checked, in 2024, Azure Linux Platforms Group Program Manager Jack Aboutboul told me that 60% of Azure Marketplace offerings and more than 60% of virtual machine cores use Linux. Those figures mean it's sensible for Microsoft to make it easier than ever for Linux distributors to release first-class Linux distros on Azure. The tech giant is taking this step, said Andrew Randall, principal manager for the Azure Core Linux product management team, by making "Azure Image Testing for Linux (AITL) available 'as a service' to distro publishers."

ATIL is built on Microsoft's Linux Integration Services Automation project (LISA). Microsoft's Linux Systems Group originally developed this initiative to validate Linux OS images. LISA is a Linux quality validation system with two parts: a test framework to drive test execution and a set of test suites to verify Linux distribution quality. LISA is now open-sourced under the MIT License. The system enables continuous testing of Linux images, covering a wide range of scenarios from kernel updates to complex cloud-native workloads. [...] Specifically, the ATIL service is designed to streamline the deployment, testing, and management of Linux images on Azure. The service builds on the company's internal expertise and open-source tools to provide:

- Curated, Azure-optimized, security-hardened Linux images
- Automated quality assurance and compliance testing for Linux distributions
- Seamless integration with Azure's cloud-native services and Kubernetes environments Krum Kashan, Microsoft Azure Linux Platforms Group program manager, said in a statement: "While numerous testing tools are available for validating Linux kernels, guest OS images, and user space packages across various cloud platforms, finding a comprehensive testing framework that addresses the entire platform stack remains a significant challenge. A robust framework is essential, one that seamlessly integrates with Azure's environment while providing coverage for major testing tools, such as LTP and kselftest, and covers critical areas like networking, storage, and specialized workloads, including Confidential VMs, HPC, and GPU scenarios. This unified testing framework is invaluable for developers, Linux distribution providers, and customers who build custom kernels and images."

Gilmoure shares a report: U.S. energy officials are reassessing the risk posed by Chinese-made devices that play a critical role in renewable energy infrastructure after unexplained communication equipment was found inside some of them, two people familiar with the matter said. Power inverters, which are predominantly produced in China, are used throughout the world to connect solar panels and wind turbines to electricity grids. They are also found in batteries, heat pumps and electric vehicle chargers.

[...] Using the rogue communication devices to skirt firewalls and switch off inverters remotely, or change their settings, could destabilise power grids, damage energy infrastructure, and trigger widespread blackouts, experts said. "That effectively means there is a built-in way to physically destroy the grid," one of the people said, The two people declined to name the Chinese manufacturers of the inverters and batteries with extra communication devices, nor say how many they had found in total.

An anonymous reader quotes a report from the BBC: A student's robot has beaten the world record for solving a four-by-four Rubik's cube -- by 33 seconds. Matthew Pidden, a 22-year-old University of Bristol student, built and trained the "Revenger" over 15 weeks for his computer science bachelor's degree. The robot solved the cube in 45.305 seconds, obliterating the world record of 1 minute 18 seconds. However, the human record for solving the cube is 15.71 seconds.

Mr Pidden's robot uses dual webcams to scan the cube, a custom mechanism to manipulate the faces, and a fully self-built solving algorithm to generate efficient solutions. The student now plans to study for a master's degree in robotics at Imperial College London.

18 years ago Slashdot covered the creation of Spaceport America.

Today Space.com hails it as "the first purpose-built commercial spaceport in the world." But engineer/executive director Scott McLaughlin has plans to grow even more. Already home to an array of commercial space industry tenants, such as Virgin Galactic, SpinLaunch, Up Aerospace, and Prismatic, Spaceport America is a "rocket-friendly environment of 6,000 square miles of restricted airspace, low population density, a 12,000-foot by 200-foot runway, vertical launch complexes, and about 340 days of sunshine and low humidity," the organization boasts on its website...

Space.com: What changes do you see that make Spaceport America even more viable today?

McLaughlin: I think opening ourselves up to doing different kinds of work. We're more like a civilian test range now. We've got high-altitude UAVs [Unmanned Aerial Vehicles]. We're willing to do engine production. We believe we're about to sign a data center, one that's able to provide services to our customers who want low-latency, artificial intelligence, or high-powered computing. You'll be able to rent some virtual machines and do your own thing and have it be instantaneous at the spaceport. So I think being more broadminded about what we can do at the spaceport is helping generate customers and revenue...

Our goal is to see Virgin Galactic fly in a year or so, hopefully flying twice a week, and that will have a big impact on the spaceport... [W]e're trying to be open-minded as we're partnered with White Sands Missile Range to use that airspace. We're even looking at things like an electromagnetic pulse facility. It's a customer that I can't identify yet... We are working on a "reentry" license too. We recently discussed this with specialists and we think we have a site relatively close to the spaceport that's flat and free of mesquite bushes and such, so we can do capsule return and other types of return. And of course we have the runway. So I'd think we'd be the only spaceport that does vertical and horizontal launch and reentry....

We're never going to have the throughput that the Cape in Florida has. But we'll be a good alternative especially if you're going to do a small to medium-sized launch, and you need to do it quickly, and perhaps do it more securely than you would if you were to fly over water. That's why the Department of Defense is showing interest in the inland spaceport.