"PHP 8.5 landed on Thursday with a long-awaited pipe operator and a new standards-compliant URI parser," reports the Register, "marking one of the scripting language's more substantial updates... " The pipe operator allows function calls to be chained together, which avoids the extraneous variables and nested statements that might otherwise be involved. Pipes tend to make code more readable than other ways to implement serial operations. Anyone familiar with the Unix/Linux command line or programming languages like R, F#, Clojure, or Elixir may have used the pipe operator. In JavaScript, aka ECMAScript, a pipe operator has been proposed, though there are alternatives like method chaining.

Another significant addition is the URI extension, which allows developers to parse and modify URIs and URLs based on both the RFC 3986 and the WHATWG URL standards. Parsing with URIs and URLs â" reading them and breaking them down into their different parts â" is a rather common task for web-oriented applications. Yet prior versions of PHP didn't include a standards-compliant parser in the standard library. As noted by software developer Tim Düsterhus, the parse_url() function that dates back to PHP 4 doesn't follow any standard and comes with a warning that it should not be used with untrusted or malformed URLs.

Other noteworthy additions to the language include: Clone With, for updating properties more efficiently; the #[\NoDiscard] attribute, for warning when a return value goes unused; the ability to use static closures and first-class callables in constant expressions; and persistent cURL handles that can be shared across multiple PHP requests.

An anonymous reader quotes a report from ZDNet: At KubeCon North America 2025 in Atlanta, the Cloud Native Computing Foundation (CNCF)'s leaders predicted an enormous surge in cloud-native computing, driven by the explosive growth of AI inference workloads. How much growth? They're predicting hundreds of billions of dollars in spending over the next 18 months. [...] Where cloud-native computing and AI inference come together is when AI is no longer a separate track from cloud-native computing. Instead, AI workloads, particularly inference tasks, are fueling a new era where intelligent applications require scalable and reliable infrastructure. That era is unfolding because, said [CNCF Executive Director Jonathan Bryce], "AI is moving from a few 'Training supercomputers' to widespread 'Enterprise Inference.' This is fundamentally a cloud-native problem. You, the platform engineers, are the ones who will build the open-source platforms that unlock enterprise AI."

"Cloud native and AI-native development are merging, and it's really an incredible place we're in right now," said CNCF CTO Chris Aniszczyk. The data backs up this opinion. For example, Google has reported that its internal inference jobs have processed 1.33 quadrillion tokens per month recently, up from 980 trillion just months before. [...] Aniszczyk added that cloud-native projects, especially Kubernetes, are adapting to serve inference workloads at scale: "Kubernetes is obviously one of the leading examples as of the last release the dynamic resource allocation feature enables GPU and TPU hardware abstraction in a Kubernetes context." To better meet the demand, the CNCF announced the Certified Kubernetes AI Conformance Program, which aims to make AI workloads as portable and reliable as traditional cloud-native applications.

"As AI moves into production, teams need a consistent infrastructure they can rely on," Aniszczyk stated during his keynote. "This initiative will create shared guardrails to ensure AI workloads behave predictably across environments. It builds on the same community-driven standards process we've used with Kubernetes to help bring consistency as AI adoption scales." What all this effort means for business is that AI inference spending on cloud-native infrastructure and services will reach into the hundreds of billions within the next 18 months. That investment is because CNCF leaders predict that enterprises will race to stand up reliable, cost-effective AI services.

An anonymous reader quotes a report from Security Affairs: On October 24, 2025, Azure DDoS Protection detected and mitigated a massive multi-vector attack peaking at 15.72 Tbps and 3.64 billion pps, the largest cloud DDoS ever recorded, aimed at a single Australian endpoint. Azure's global protection network filtered the traffic, keeping services online. The attack came from the Aisuru botnet, a Turbo Mirai-class IoT botnet using compromised home routers and cameras.

The attack used massive UDP floods from more than 500,000 IPs hitting a single public address, with little spoofing and random source ports that made traceback easier. It highlights how attackers are scaling with the internet: faster home fiber and increasingly powerful IoT devices keep pushing DDoS attack sizes higher. "On October 24, 2025, Azure DDOS Protection automatically detected and mitigated a multi-vector DDoS attack measuring 15.72 Tbps and nearly 3.64 billion packets per second (pps). This was the largest DDoS attack ever observed in the cloud and it targeted a single endpoint in Australia," reads a report published by Microsoft. "The attack originated from Aisuru botnet."

"Attackers are scaling with the internet itself. As fiber-to-the-home speeds rise and IoT devices get more powerful, the baseline for attack size keeps climbing," concludes the post. "As we approach the upcoming holiday season, it is essential to confirm that all internet-facing applications and workloads are adequately protected against DDOS attacks."

Linux kernel maintainers "are grappling with how to integrate AI-generated contributions without compromising the project's integrity," reports WebProNews: The latest push comes from a proposal by Sasha Levin, a prominent kernel developer at NVIDIA, who has outlined guidelines for tool-generated submissions. Posted to the kernel mailing list, these guidelines aim to standardize how AI-assisted patches are handled. According to Phoronix, the v3 iteration of the proposal [posted by Intel engineer Dave Hansen] emphasizes transparency and accountability, requiring developers to disclose AI involvement in their contributions. This move reflects broader industry concerns about the quality and copyright implications of machine-generated code.

Linus Torvalds, the creator of Linux, has weighed in on the debate, advocating for treating AI tools no differently than traditional coding aids. As reported by heise online, Torvalds sees no need for special copyright treatment for AI contributions, stating that they should be viewed as extensions of the developer's work. This perspective aligns with the kernel's pragmatic approach to innovation. The proposal, initially put forward by Levin in July 2025, includes a 'Co-developed-by' tag for AI-assisted patches, ensuring credit and traceability. OSTechNix details how tools like GitHub Copilot and Claude are specifically addressed, with configurations to guide their use in kernel development... ZDNET warns that without official policy, AI could 'creep' into the kernel and cause chaos...

The New Stack provides insight into how AI is already assisting kernel maintainers with mundane tasks. According to The New Stack, large language models (LLMs) are being used like 'novice interns' for drudgery work, freeing up experienced developers for complex problems... The Linux kernel's approach could set precedents for other open-source projects. With AI integration accelerating, projects like those in the Linux Foundation are watching closely... Recent kernel releases, such as 6.17.7, include performance improvements that indirectly support AI applications, as noted in Linux Compatible.

Android's security team published a blog post this week about their experience using Rust. Its title? "Move fast and fix things." Last year, we wrote about why a memory safety strategy that focuses on vulnerability prevention in new code quickly yields durable and compounding gains. This year we look at how this approach isn't just fixing things, but helping us move faster.

The 2025 data continues to validate the approach, with memory safety vulnerabilities falling below 20% of total vulnerabilities for the first time. We adopted Rust for its security and are seeing a 1000x reduction in memory safety vulnerability density compared to Android's C and C++ code. But the biggest surprise was Rust's impact on software delivery. With Rust changes having a 4x lower rollback rate and spending 25% less time in code review, the safer path is now also the faster one... Data shows that Rust code requires fewer revisions. This trend has been consistent since 2023. Rust changes of a similar size need about 20% fewer revisions than their C++ counterparts... In a self-reported survey from 2022, Google software engineers reported that Rust is both easier to review and more likely to be correct. The hard data on rollback rates and review times validates those impressions.

Historically, security improvements often came at a cost. More security meant more process, slower performance, or delayed features, forcing trade-offs between security and other product goals. The shift to Rust is different: we are significantly improving security and key development efficiency and product stability metrics.

With Rust support now mature for building Android system services and libraries, we are focused on bringing its security and productivity advantages elsewhere. Android's 6.12 Linux kernel is our first kernel with Rust support enabled and our first production Rust driver. More exciting projects are underway, such as our ongoing collaboration with Arm and Collabora on a Rust-based kernel-mode GPU driver. [They've also been deploying Rust in firmware for years, and Rust "is ensuring memory safety from the ground up in several security-critical Google applications," including Chromium's parsers for PNG, JSON, and web fonts.]
2025 was the first year more lines of Rust code were added to Android than lines of C++ code...

Cryptocurrency companies and fintech startups are applying to open banks in the United States. Ripple, Coinbase and the UK payments company Wise have submitted applications for national trust charters this year. Trust banks cannot take deposits or make loans but charge fees for safekeeping customer assets and are not FDIC insured. The applications have reached 12 so far this year, more than any of the preceding eight years, according to data compiled by Klaros Group.

Comptroller of the Currency Jonathan Gould said last month that cryptocurrency activity should be done within the banking system if legally permissible and safe. His agency regulates nationally-chartered U.S. banks. The Bank Policy Institute and the Independent Community Bankers of America oppose the applications. BPI sent letters urging the Office of the Comptroller of the Currency to reject the Ripple, Wise, and Sony applications. The group said approving Coinbase could significantly increase risks to the U.S. financial system.

China has introduced a visa that will allow young foreign researchers in science, technology, engineering and mathematics to move there without having to secure a job first. From a report: Before the introduction of the K visa, most foreign STEM researchers hoping to move to China had to find a job in advance and then apply for a work visa. The Chinese government is making "a serious bid" to attract the world's brightest minds in STEM, says Jeremy Neufeld, the director of immigration policy at the Institute for Progress, a think tank in Washington DC. South Korea, Singapore and several other countries have also launched STEM-oriented visa programmes.

The K visa was officially rolled out on 1 October, but Nature understands that applications are yet to open. Few details about eligibility have been released, except that restrictions will apply on the basis of an applicant's age, education and work experience. Foreign researchers who have graduated from 'famous' universities or institutes in China or abroad with a bachelor-or-higher degree in STEM will be eligible to apply. That also includes people who teach or research STEM topics in such organizations.

An anonymous reader quotes a report from Ars Technica: For years now, Valve has been slowly improving the capabilities of the Proton compatibility layer that lets thousands of Windows games work seamlessly on the Linux-based SteamOS. But Valve's Windows-to-Linux compatibility layer generally only extends back to games written for Direct3D 8, the proprietary Windows graphics API Microsoft released in late 2000. Now, a new open source project is seeking to extend Linux interoperability further back into PC gaming history. The d7vk project describes itself as "a Vulkan-based translation layer for Direct3D 7 [D3D7], which allows running 3D applications on Linux using Wine."

The new project isn't the first attempt to get Direct3D 7 games running on Linux. Wine's own built-in WineD3D compatibility layer has supported D3D7 in some form or another for at least two decades now. But the new d7vk project instead branches off the existing dxvk compatibility layer, which is already used by Valve's Proton for SteamOS and which reportedly offers better performance than WineD3D on many games. D7vk project author WinterSnowfall writes that while they don't expect this new project to be upstreamed into the main dxvk in the future, the new version should have "the same level of per application/targeted configuration profiles and fixes that you're used to seeing in dxvk proper." And though d7vk might not perform universally better than the existing alternatives, WinterSnowfall writes that "having more options on the table is a good thing in my book at least." The report notes that the PC Gaming Wiki lists more than 400 games built on the aging D3D7 APIs, spanning mostly early-2000s releases but with a trickle of new titles still appearing through 2022. Notable classics include Escape from Monkey Island and Hitman: Codename 47.

"A tape-based piece of unique Unix history may have been lying quietly in storage at the University of Utah for 50+ years," reports The Register. And the software librarian at Silicon Valley's Computer History Museum, Al Kossow of Bitsavers, believes the tape "has a pretty good chance of being recoverable." Long-time Slashdot reader bobdevine says the tape will be analyzed at the Computer History Museum. More from The Register: The news was posted to Mastodon by Professor Robert Ricci of the University of Utah's Kahlert School of Computing [along with a picture. "While cleaning a storage room, our staff found this tape containing #UNIX v4 from Bell Labs, circa 1973..." Ricci posted on Mastodon. "We have arranged to deliver it to the Computer History Museum."] The nine-track tape reel bears a handwritten label reading: UNIX Original From Bell Labs V4 (See Manual for format)...

If it's what it says on the label, this is a notable discovery because little of UNIX V4 remains. That's unfortunate as this specific version is especially interesting: it's the first version of UNIX in which the kernel and some of the core utilities were rewritten in the new C programming language. Until now, the only surviving parts known were the source code to a slightly older version of the kernel and a few man pages — plus the Programmer's Manual [PDF], from November 1973.
The Unix Heritage Society hosts those surviving parts — and apparently some other items of interest, according to a comment posted on Mastodon. "While going through the tapes from Dennis Ritchie earlier this year, I found some UNIX V4 distribution documents," posted Mastodon user "Broken Pipe," linking to tuhs.org/Archive/Applications/Dennis_Tapes/Gao_Analysis/v4_dist/.

There's a file called license ("The program and information transmitted herewith is and shall remain the property of Bell Lab%oratories...") and coldboot ("Mount good tape on drive 0..."), plus a six-page "Setup" document that ends with these words...

We expect to have a UNIX seminar early in 1974.

Good luck.
Ken Thompson
Dennis Ritchie
Bell Telephone Labs
Murray Hill, NJ 07974

A former Business Analyst reportedly filed a class action lawsuit claiming that for years, hundreds of remote employees at Bank of America first had to boot up complex computer systems before their paid work began, reports Human Resources Director magazine: Tava Martin, who worked both remotely and at the company's Jacksonville facility, says the financial institution required her and fellow hourly workers to log into multiple security systems, download spreadsheets, and connect to virtual private networks — all before the clock started ticking on their workday. The process wasn't quick. According to the filing in the United States District Court for the Western District of North Carolina, employees needed 15 to 30 minutes each morning just to get their systems running. When technical problems occurred, it took even longer...

Workers turned on their computers, waited for Windows to load, grabbed their cell phones to request a security token for the company's VPN, waited for that token to arrive, logged into the network, opened required web applications with separate passwords, and downloaded the Excel files they needed for the day. Only then could they start taking calls from business customers about regulatory reporting requirements...

The unpaid work didn't stop at startup. During unpaid lunch breaks, many systems would automatically disconnect or otherwise lose connection, forcing employees to repeat portions of the login process — approximately three to five minutes of uncompensated time on most days, sometimes longer when a complete reboot was required. After shifts ended, workers had to log out of all programs and shut down their computers securely, adding another two to three minutes.
Thanks to Slashdot reader Joe_Dragon for sharing the article.

Mark Zuckerberg opened an unlicensed school named after the family's pet chicken -- and it was the final straw for his neighbors, writes Slashdot reader joshuark, citing a report from Wired. The magazine obtained 1,665 pages of documents about the neighborhood dispute -- "including 311 records, legal filings, construction plans, and emails." Here are excerpts from the report: The documents reveal that the school may have been operating as early as 2021 without a permit to operate in the city of Palo Alto. As many as 30 students might have enrolled, according to observations from neighbors. [...] Over time, neighbors became fed up with what they argued was the city's lack of action, particularly with respect to the school. Some believed that the delay was because of preferential treatment to the Zuckerbergs. "We find it quite remarkable that you are working so hard to meet the needs of a single billionaire family while keeping the rest of the neighborhood in the dark," reads one email sent to the city's Planning and Development Services Department in February. "Just as you have not earned our trust, this property owner has broken many promises over the years, and any solution which depends on good faith behavioral changes from them is a failure from the beginning." [...]

In order for the Zuckerbergs to run a private school on their land, which is in a residential zone, they need a "conditional use" permit from the city. However, based on the documents WIRED obtained, and Palo Alto's public database of planning applications, the Zuckerbergs do not appear to have ever applied for or received this permit. Per emails obtained by WIRED, Palo Alto authorities told a lawyer working with the Zuckerbergs in March 2025 that the family had to shut down the school on its compound by June 30. [...] However, Zuckerberg family spokesperson Brian Baker tells WIRED that the school didn't close, per se. It simply moved. It's not clear where it is now located, or whether the school is operating under a different name. [...] Most of the Zuckerbergs' neighbors did not respond to WIRED's request for comment. However, the ones that did clearly indicated that they would not be forgetting the Bicken Ben saga, or the past decade of disruption, anytime soon.

An anonymous reader shares a report: The Microsoft Store on the web now lets you create a multi-app install package on Windows 11 that installs multiple applications from a single installer. This means you can now install multiple apps simultaneously without having to download each one manually. The experience is similar to that of the third-party app Ninite, a package manager that lets you install multiple apps at once.

Google's new "Project Suncatcher" aims to launch Tensor Processing Units (TPUs) into space, creating a solar-powered, satellite-based AI network capable of scaling machine learning beyond Earth's limits. Google says a "solar panel can be up to 8 times more productive than on earth" for near-continuous power using a "dawn-dusk sun-synchronous low earth orbit" that reduces the need for batteries and other power generation. 9to5Google reports: These satellites would connect via free-space optical links, with large-scale ML workloads "distributing tasks across numerous accelerators with high-bandwidth, low-latency connections." To match data centers on Earth, the connection between satellites would have to be tens of terabits per second, and they'd have to fly in "very close formation (kilometers or less)."

Google has already conducted radiation testing on TPUs (Trillium, v6e), with "promising" results: "While the High Bandwidth Memory (HBM) subsystems were the most sensitive component, they only began showing irregularities after a cumulative dose of 2 krad(Si) -- nearly three times the expected (shielded) five year mission dose of 750 rad(Si). No hard failures were attributable to TID up to the maximum tested dose of 15 krad(Si) on a single chip, indicating that Trillium TPUs are surprisingly radiation-hard for space applications."

Finally, Google believes that launch costs will "fall to less than $200/kg by the mid-2030s." At that point, the "cost of launching and operating a space-based data center could become roughly comparable to the reported energy costs of an equivalent terrestrial data center on a per-kilowatt/year basis."

Palantir launched a fellowship that recruited high school graduates directly into full-time work, bypassing college entirely. The company received more than 500 applications and selected 22 for the inaugural class. The four-month program began with seminars on Western civilization, U.S. history, and leaders including Abraham Lincoln and Winston Churchill. Fellows then embedded in client teams working on live projects for hospitals, insurance companies, defense contractors, and government agencies.

CEO Alex Karp, who studied at Haverford and Stanford, said in August that hiring university students now means hiring people engaged in "platitudes." The program wraps up in November. Palantir executives said they had a clear sense by the third or fourth week of which fellows were succeeding in the company environment. Fellows who perform well will receive offers for permanent positions without college degrees.

The Wall Street Journal looks at swarm robotics, where no single robot is in charge, robots interact only with nearby robots — and the swarm accomplishes complex tasks through simple interactions.

"Researchers say this approach could excel where traditional robots fail, like situations where central control is impractical or impossible due to distance, scale or communication barriers." For instance, a swarm of drones might one day monitor vast areas to detect early-stage wildfires that current monitoring systems sometimes miss... A human operator might set parameters like where to search, but the drones would independently share information like which areas have been searched, adjust search patterns based on wind and other weather data from other drones in the swarm, and converge for more complete coverage of a particular area when one detects smoke. In another potential application, a swarm of robots could make deliveries across wide areas more efficient by alerting each other to changing traffic conditions or redistributing packages among themselves if one breaks down. Robot swarms could also manage agricultural operations in places without reliable internet service. And disaster-response teams see potential for swarms in hurricane and tsunami zones where communication infrastructure has been destroyed.

At the microscopic scale, researchers are developing tiny robots that could work together to navigate the human body to deliver medication or clear blockages without surgery... In recent demonstrations, teams of tiny magnetic robots — each about the size of a grain of sand — cleared blockages in artificial blood vessels by forming chains to push through the obstructions. The robots navigate individually through blood vessels to reach a clog, guided by doctors or technicians using magnetic fields to steer them, says researcher J.J. Wie, a professor of organic and nano engineering at Hanyang University in South Korea. When they reach an obstruction, the robots coordinate with each other to team up and break through. Wie's group is developing versions of these robots that biodegrade after use, eliminating the need for surgical removal, and coatings that make the robots compatible with human tissue. And while robots the size of sand grains work for some applications, Wie says that they will need to be shrunk to nano scale to cross biological barriers, such as cell membranes, or bind to specific molecular targets, like surface proteins or receptors on cancer cells.
Some researchers are even exploring emergent intelligence — "when simple machines, following only a few local cues, begin to organize and act as if they share a mind...beyond human-designed coordination."

Thanks to long-time Slashdot reader fjo3 for sharing the article.

The address bar/ChatGPT input window in OpenAI's browser ChatGPT Atlas "could be targeted for prompt injection using malicious instructions disguised as links," reports SC World, citing a report from AI/agent security platform NeuralTrust: NeuralTrust found that a malformed URL could be crafted to include a prompt that is treated as plain text by the browser, passing the prompt on to the LLM. A malformation, such as an extra space after the first slash following "https:" prevents the browser from recognizing the link as a website to visit. Rather than triggering a web search, as is common when plain text is submitted to a browser's address bar, ChatGPT Atlas treats plain text as ChatGPT prompts by default.

An unsuspecting user could potentially be tricked into copying and pasting a malformed link, believing they will be sent to a legitimate webpage. An attacker could plant the link behind a "copy link" button so that the user might not notice the suspicious text at the end of the link until after it is pasted and submitted. These prompt injections could potentially be used to instruct ChatGPT to open a new tab to a malicious website such as a phishing site, or to tell ChatGPT to take harmful actions in the user's integrated applications or logged-in sites like Google Drive, NeuralTrust said.
Last month browser security platform LayerX also described how malicious prompts could be hidden in URLs (as a parameter) for Perplexity's browser Comet. And last week SquareX Labs demonstrated that a malicious browser extension could spoof Comet's AI sidebar feature and have since replicated the proof-of-concept (PoC) attack on Atlas.

But another new vulnerability in ChatGPT Atlas "could allow malicious actors to inject nefarious instructions into the artificial intelligence (AI)-powered assistant's memory and run arbitrary code," reports The Hacker News, citing a report from browser security platform LayerX: "This exploit can allow attackers to infect systems with malicious code, grant themselves access privileges, or deploy malware," LayerX Security Co-Founder and CEO, Or Eshed, said in a report shared with The Hacker News. The attack, at its core, leverages a cross-site request forgery (CSRF) flaw that could be exploited to inject malicious instructions into ChatGPT's persistent memory. The corrupted memory can then persist across devices and sessions, permitting an attacker to conduct various actions, including seizing control of a user's account, browser, or connected systems, when a logged-in user attempts to use ChatGPT for legitimate purposes....

"What makes this exploit uniquely dangerous is that it targets the AI's persistent memory, not just the browser session," Michelle Levy, head of security research at LayerX Security, said. "By chaining a standard CSRF to a memory write, an attacker can invisibly plant instructions that survive across devices, sessions, and even different browsers. In our tests, once ChatGPT's memory was tainted, subsequent 'normal' prompts could trigger code fetches, privilege escalations, or data exfiltration without tripping meaningful safeguards...."

LayerX said the problem is exacerbated by ChatGPT Atlas' lack of robust anti-phishing controls, the browser security company said, adding it leaves users up to 90% more exposed than traditional browsers like Google Chrome or Microsoft Edge. In tests against over 100 in-the-wild web vulnerabilities and phishing attacks, Edge managed to stop 53% of them, followed by Google Chrome at 47% and Dia at 46%. In contrast, Perplexity's Comet and ChatGPT Atlas stopped only 7% and 5.8% of malicious web pages.
From The Conversation: Sandboxing is a security approach designed to keep websites isolated and prevent malicious code from accessing data from other tabs. The modern web depends on this separation. But in Atlas, the AI agent isn't malicious code — it's a trusted user with permission to see and act across all sites. This undermines the core principle of browser isolation.
Thanks to Slashdot reader spatwei for suggesting the topic.

alternative_right shares a report from Phys.org: Today's cutting-edge theory -- quantum gravity -- suggests that even space and time aren't fundamental. They emerge from something deeper: pure information. This information exists in what physicists call a Platonic realm -- a mathematical foundation more real than the physical universe we experience. It's from this realm that space and time themselves emerge. "The fundamental laws of physics cannot be contained within space and time, because they generate them. It has long been hoped, however, that a truly fundamental theory of everything could eventually describe all physical phenomena through computations grounded in these laws. Yet we have demonstrated that this is not possible. A complete and consistent description of reality requires something deeper -- a form of understanding known as non-algorithmic understanding." "We have demonstrated that it is impossible to describe all aspects of physical reality using a computational theory of quantum gravity," says Dr. Faizal. "Therefore, no physically complete and consistent theory of everything can be derived from computation alone. Rather, it requires a non-algorithmic understanding, which is more fundamental than the computational laws of quantum gravity and therefore more fundamental than spacetime itself."

"Drawing on mathematical theorems related to incompleteness and indefinability, we demonstrate that a fully consistent and complete description of reality cannot be achieved through computation alone," explains Dr. Mir Faizal, Adjunct Professor with UBC Okanagan's Irving K. Barber Faculty of Science. "It requires non-algorithmic understanding, which by definition is beyond algorithmic computation and therefore cannot be simulated. Hence, this universe cannot be a simulation."

The findings have been published in the Journal of Holography Applications in Physics.

NVIDIA has introduced NVQLink, an open system architecture that directly connects quantum processors with GPU-based supercomputers. The Quantum Insider reports: The new platform connects the high-speed, high-throughput performance of NVIDIA's GPU computing with quantum processing units (QPUs), allowing researchers to manage the intricate control and error-correction workloads required by quantum devices. According to a NVIDIA statement, the system was developed with guidance from researchers at major U.S. national laboratories including Brookhaven, Fermi, Lawrence Berkeley, Los Alamos, MIT Lincoln, Oak Ridge, Pacific Northwest, and Sandia.

Qubits, the basic units of quantum information, are extremely sensitive to noise and decoherence, making them prone to errors. Correcting and stabilizing these systems requires near-instantaneous feedback and coordination with classical processors. NVQLink is meant to meet that demand by providing an open, low-latency interconnect between quantum processors, control systems, and supercomputers -- effectively creating a unified environment for hybrid quantum applications.

The architecture offers a standardized, open approach to quantum integration, aligning with the company's CUDA-Q software platform to enable researchers to develop, test, and scale hybrid algorithms that draw simultaneously on CPUs, GPUs, and QPUs. The U.S. Department of Energy (DOE) -- which oversees several of the participating laboratories -- framed NVQLink as part of a broader national effort to sustain leadership in high-performance computing, according to NVIDIA.

Microsoft has reorganized its Outlook team under new leadership as part of a broader effort to integrate AI into its core products. Gaurav Sareen, a corporate vice president at the company, recently assumed direct leadership of the Outlook division after Lynn Ayres, who previously ran the team, began a sabbatical. The move represents the latest in a series of AI-focused restructurings across Microsoft's divisions. Sareen wrote in an internal memo that the company now has an opportunity to reimagine Outlook from the ground up rather than add AI features to existing systems, according to The Verge.

Ryan Roslansky, the chief executive of LinkedIn, took on an expanded role earlier this year as head of Office. Sareen now reports to Roslansky, who oversees the Office suite, Outlook and Microsoft 365 Copilot teams. The restructuring comes after Microsoft spent several years developing One Outlook, a web-based version meant to replace separate Windows, Mac, and web applications.

OpenAI has acquired Software Applications Incorporated, the 12-person startup behind Sky -- an AI interface for Mac computers that can understand on-screen context and perform tasks across apps. The deal follows OpenAI's recent acquisitions of Statsig and Jony Ive's io. CNBC reports: The startup's product called Sky allows users of Mac computers to prompt it with natural language to get help with writing, coding, planning and managing their days, OpenAI said in a blog post. Sky can take actions through apps and understands what's on a user's screen.

"Sky's deep integration with the Mac accelerates our vision of bringing AI directly into the tools people use every day," Nick Turley, the head of ChatGPT at OpenAI, said in a statement. Software Applications was founded in 2023, and the company unveiled Sky in May. OpenAI CEO Sam Altman contributed to the startup's $6.5 million seed funding round, according to its website.