IBM will cut thousands of roles this quarter while it continues to shift focus to higher-growth software and services, Bloomberg News reported on Tuesday. From a report: "We routinely review our workforce through this lens and at times rebalance accordingly," Bloomberg quoted a company spokesperson saying. "In the fourth quarter we are executing an action that will impact a low single-digit percentage of our global workforce."

Amazon's data-center expansion turned Umatilla, Oregon into an unlikely nerve center for American infrastructure investment. The community of roughly 8,000 residents has seen home prices double and local government budgets surge from $7 million in 2011 to a hundred and $44 million in the past fiscal year. Yesenia Leon-Tejeda, a Realtor and daughter of Mexican-born farmhands who once worked 12-hour shifts at a distribution center, is now on pace to close 35 deals this year.

Federal data shows investment in software and information-processing equipment drove most of America's GDP growth in the first half of 2025. Goldman Sachs estimated that roughly 72% of all server-farm capacity sat in just 1% of counties as of July. The region's hydroelectric dams and cheap power attracted Amazon Web Services more than a decade ago. Growth has brought rising costs for housing and child care. Political tensions over spending erupted this year when Mayor Caden Sipe sued the city manager and council members.

An anonymous reader quotes a report from Tom's Hardware: After a turbulent weekend of updates and clarifications, AMD has published an entire web page to assuage user backlash and reaffirm its commitment to continued support for its RDNA 1 and RDNA 2-based drives, following a spate of confusion surrounding its recent decision to put Radeon RX 5000 and 6000 series cards in "maintenance mode." This comes after AMD had to deny that the RX 7900 cards were losing USB-C power supply moving forward, even though the drive changelog said something quite different.

Just last week, AMD released a new driver update for its graphics cards, and it went anything but smoothly. First, the wrong drivers were uploaded, and even after that was corrected, several glaring errors in the release notes required clarification. AMD was forced to correct claims about its RX 7900 cards, but at the time clarified that, indeed, RX 5000 and 6000 graphics cards were entering "Maintenance Mode," despite some RX 6000 cards being only around four years old. Now, though, AMD has either rolled back that decision or someone higher up the food chain has made a new call, as game optimizations are back on the menu for RDNA 1 and RDNA 2 GPUs. "We've heard your feedback and want to clear up the confusion around the AMD Software: Adrenalin Edition 25.10.2 driver release," AMD said in a statement. "Your Radeon RX 5000 and RX 6000 series GPUs will continue to receive: Game support for new releases, Stability and game optimizations, and Security and bug fixes," AMD said.

Captchas have largely vanished from the web in 2025, replaced by invisible tracking systems that analyze user behavior rather than asking people to decipher distorted text or identify traffic lights in image grids. Google launched reCaptcha v3 in 2018 to generate risk scores based on behavioral signals during site interactions, making bot-blocking technology "completely invisible" for most users, according to Tim Knudsen, a director of product management at Google Cloud.

Cloudflare followed in 2022 by releasing Turnstile, another invisible alternative that sometimes appears as a simple checkbox but actually gathers data from devices and software to determine if users are human. Both companies distribute their security tools for free to collect training data, and Cloudflare now sees 20% of all HTTP requests across the internet.

The rare challenges that do surface have become increasingly bizarre, ranging from requests to identify dogs and ducks wearing various hats to sliding a jockstrap across a screen to find matching underwear on hookup sites.

"It finally happened," writes the GamingOnLinux site: Linux gamers on Steam as of the Steam Hardware & Software Survey for October 2025 have crossed over the elusive 3% mark. The trend has been clear for sometime, and with Windows 10 ending support, it was quite likely this was going to be the time for it to happen as more people try out Linux...

Overall, 3% might not seem like much to some, but again — that trend is very clear and equates to millions of people. The last time Valve officially gave a proper monthly active user count was in 2022, and we know Steam has grown a lot since then, but even going by that original number would put monthly active Linux users at well over 4 million.
Additional details from Phoronix: The only time Steam on Linux use was close to the 3% mark was when Steam on Linux initially debuted a decade ago and at that time the overall Steam user-base was much smaller than it is today. Long story short, thanks to the ongoing success of Valve's Steam Deck and other handhelds plus Steam Play (Proton) working out so well, these October numbers are the best yet... a hearty 0.41% increase to Linux... landing its overall marketshare at 3.05%. Windows meanwhile was at 94.84% (falling below 95% for the first time in a while) and macOS at 2.11%. For comparison, in October 2024 Steam on Linux was at 2.00%.

The Linux-specific data shows SteamOS commanding around 27% of all the Linux installs at large. SteamOS most notably being on the Steam Deck hardware.

"An engineer got curious about how his iLife A11 smart vacuum worked and monitored the network traffic coming from the device," writes Tom's Hardware.

"That's when he noticed it was constantly sending logs and telemetry data to the manufacturer — something he hadn't consented to." The user, Harishankar, decided to block the telemetry servers' IP addresses on his network, while keeping the firmware and OTA servers open. While his smart gadget worked for a while, it just refused to turn on soon after... He sent it to the service center multiple times, wherein the technicians would turn it on and see nothing wrong with the vacuum. When they returned it to him, it would work for a few days and then fail to boot again... [H]e decided to disassemble the thing to determine what killed it and to see if he could get it working again...

[He discovered] a GD32F103 microcontroller to manage its plethora of sensors, including Lidar, gyroscopes, and encoders. He created PCB connectors and wrote Python scripts to control them with a computer, presumably to test each piece individually and identify what went wrong. From there, he built a Raspberry Pi joystick to manually drive the vacuum, proving that there was nothing wrong with the hardware. From this, he looked at its software and operating system, and that's where he discovered the dark truth: his smart vacuum was a security nightmare and a black hole for his personal data.

First of all, it's Android Debug Bridge, which gives him full root access to the vacuum, wasn't protected by any kind of password or encryption. The manufacturer added a makeshift security protocol by omitting a crucial file, which caused it to disconnect soon after booting, but Harishankar easily bypassed it. He then discovered that it used Google Cartographer to build a live 3D map of his home. This isn't unusual, by far. After all, it's a smart vacuum, and it needs that data to navigate around his home. However, the concerning thing is that it was sending off all this data to the manufacturer's server. It makes sense for the device to send this data to the manufacturer, as its onboard SoC is nowhere near powerful enough to process all that data. However, it seems that iLife did not clear this with its customers.

Furthermore, the engineer made one disturbing discovery — deep in the logs of his non-functioning smart vacuum, he found a command with a timestamp that matched exactly the time the gadget stopped working. This was clearly a kill command, and after he reversed it and rebooted the appliance, it roared back to life.
Thanks to long-time Slashdot reader registrations_suck for sharing the article.

"Ubuntu's decision to switch to Rust-based coreutils in 25.10 hasn't been the smoothest ride," writes the blog OMG Ubuntu, "as the latest — albeit now resolved — bug underscores." [Coreutils] are used by a number of processes, apps and scripts, including Ubuntu's own unattended-upgrades process, which automatically checks for new software updates. Alas, the Rust-based version of date had a bug which meant Ubuntu 25.10 desktops, servers, cloud and container images were not able to automatically check for updates when configured. Unattended-upgrades hooks into the date utility to check the timestamp of a reference file of when an update check was last run and, past a certain date, checks again. But date was incorrectly showing the current date, always.

A fix has been issued so only Ubuntu 25.10 installs withrust-coreutils 0.2.2-0ubuntu2 (or earlier) are affected.

"AI isn't just a tool anymore; it's an integral part of the development experience," argues GitHub's blog. So "Agents shouldn't be bolted on. They should work the way you already work..."

So this week GitHub announced "Agent HQ," which CNBC describes as a "mission control" interface "that will allow software developers to manage coding agents from multiple vendors on a single platform." Developers have a range of new capabilities at their fingertips because of these agents, but it can require a lot of effort to keep track of them all individually, said GitHub COO Kyle Daigle. Developers will now be able to manage agents from GitHub, OpenAI, Google, Anthropic, xAI and Cognition in one place with Agent HQ. "We want to bring a little bit of order to the chaos of innovation," Daigle told CNBC in an interview. "With so many different agents, there's so many different ways of kicking off these asynchronous tasks, and so our big opportunity here is to bring this all together." Agent HQ users will be able to access a command center where they can assign, steer and monitor the work of multiple agents...

The third-party agents will begin rolling out to GitHub Copilot subscribers in the coming months, but Copilot Pro+ users will be able to access OpenAI Codex in VS Code Insiders this week, the company said.
"We're into this wave two era," GitHub's COO Mario Rodriguez told VentureBeat, an era that's "going to be multimodal, it's going to be agentic and it's going to have these new experiences that will feel AI native...."

Or, as VentureBeat sees it, GitHub "is positioning itself as the essential orchestration layer beneath them all..." Just as the company transformed Git, pull requests and CI/CD into collaborative workflows, it's now trying to do the same with a fragmented AI coding landscape...

The technical architecture addresses a critical enterprise concern: Security. Unlike standalone agent implementations where users must grant broad repository access, GitHub's Agent HQ implements granular controls at the platform level... Agents operating through Agent HQ can only commit to designated branches. They run within sandboxed GitHub Actions environments with firewall protections. They operate under strict identity controls. [GitHub COO] Rodriguez explained that even if an agent goes rogue, the firewall prevents it from accessing external networks or exfiltrating data unless those protections are explicitly disabled.

Beyond managing third-party agents, GitHub is introducing two technical capabilities that set Agent HQ apart from alternative approaches like Cursor's standalone editor or Anthropic's Claude integration. Custom agents via AGENTS.md files: Enterprises can now create source-controlled configuration files that define specific rules, tools and guardrails for how Copilot behaves. For example, a company could specify "prefer this logger" or "use table-driven tests for all handlers." This permanently encodes organizational standards without requiring developers to re-prompt every time... Native Model Context Protocol (MCP) support: VS Code now includes a GitHub MCP Registry. Developers can discover, install and enable MCP servers with a single click. They can then create custom agents that combine these tools with specific system prompts. This positions GitHub as the integration point between the emerging MCP ecosystem and actual developer workflows. MCP, introduced by Anthropic but rapidly gaining industry support, is becoming a de facto standard for agent-to-tool communication. By supporting the full specification, GitHub can orchestrate agents that need access to external services without each agent implementing its own integration logic.

GitHub is also shipping new capabilities within VS Code itself. Plan Mode allows developers to collaborate with Copilot on building step-by-step project approaches. The AI asks clarifying questions before any code is written. Once approved, the plan can be executed either locally in VS Code or by cloud-based agents. The feature addresses a common failure mode in AI coding: Beginning implementation before requirements are fully understood. By forcing an explicit planning phase, GitHub aims to reduce wasted effort and improve output quality.

More significantly, GitHub's code review feature is becoming agentic. The new implementation will use GitHub's CodeQL engine, which previously largely focused on security vulnerabilities to identify bugs and maintainability issues. The code review agent will automatically scan agent-generated pull requests before human review. This creates a two-stage quality gate.
"Don't let this little bit of news float past you like all those self-satisfied marketing pitches we semi-hear and ignore," writes ZDNet: If it works and remains reliable, this is actually a very big deal... Tech companies, especially the giant ones, often like to talk "open" but then do their level best to engineer lock-in to their solution and their solution alone. Sure, most of them offer some sort of export tool, but the barrier to moving from one tool to another is often huge... [T]he idea that you can continue to use your favorite agent or agents in GitHub, fully integrated into the GitHub tool path, is powerful. It means there's a chance developers might not have to suffer the walled garden effect that so many companies have strived for to lock in their customers.

CBS News investigates what happened when police thought they'd tracked down a "porch pirate" who'd stolen a package — and accused an innocent woman.

"You know why I'm here," the police sergeant tells Chrisanna Elser. "You know we have cameras in that town..." "It went right into, 'we have video of you stealing a package,'" Elser said... "Can I see the video?" Elser asked. "If you go to court, you can," the officer replied. "If you're going to deny it, I'm not going to extend you any courtesy...." [You can watch a video of the entire confrontation.] On her doorstep, the officer issued a summons, without ever looking at the surveillance video Elser had. "We can show you exactly where we were," she told him. "I already know where you were," he replied.

Her Rivian — equipped with multiple cameras — had recorded her entire route that day... It took weeks of her collecting her own evidence, building timelines, and submitting videos before someone listened. Finally, she received an email from the Columbine Valley police chief acknowledging her efforts in an email saying, "nicely done btw (by the way)," and informing her the summons would not be filed.
Elser also found the theft video (which the police officer refused to show her) on Nextdoor, reports Electrek. "The woman has the same color hair, but different facial and nose shape and apparent age than Elser, which is all reasonably apparent when viewing the video..."

But Elser does drive a green Rivian truck, which police knew had entered the neighborhood 20 times over the course of a month. (Though in the video the officer is told that a male driver in the same household passes through that neighborhood driving to and from work.) The problem may be their certainty — derived from Flock's network of cameras that automatically read license plates, "tracking movements of vehicles wherever they go..." The system has provoked concern from privacy and freedom focused organizations like the Electronic Frontier Foundation and American Civil Liberties Union. Flock also recently announced a partnership with Ring, seeking to use a network of doorbell cameras to track Americans in even more places.... [The police] didn't even have video of the truck in the area — merely tags of it entering... (it also left the area minutes later, indicating a drive through, rather than crawling through neighborhoods looking for packages — but police neglected to check the exit timestamps)... Elser has asked for an apology for [officer] Milliman's aggressive behavior during the encounter, but has heard nothing back from the department despite a call, email, and physical appearance at the police station.
The article points out that Rivian's "Road Cam" feature can be set to record footage of everything happening around it using the car's built in cameras for driver-assist features. But if you want to record footage all the time, you'll need to plug in a USB-C external drive to store it. (It's ironic how different cameras recorded every part of this story — the theft, the police officer accusing the innocent woman, and that innocent woman's actual whereabouts.)

Electrek's take? "Citizens should not need to own a $70k+ truck, or even a $100 external hard drive, to keep track of everything they do in order to prove to power-tripping officers that they didn't commit a crime."

"We've spent the last year rebuilding major components of our system," Cloudflare announced this week, "and we've just slashed the latency of traffic passing through our network for millions of our customers," (There's a 10ms cut in the median time to respond, plus a 25% performance boost as measured by CDN performance tests.) They replaced a 15-year-old system named FL (where they run security and performance features), and "At the same time, we've made our system more secure, and we've reduced the time it takes for us to build and release new products."

And yes, Rust was involved: We write a lot of Rust, and we've gotten pretty good at it... We built FL2 in Rust, on Oxy [Cloudflare's Rust-based next generation proxy framework], and built a strict module framework to structure all the logic in FL2... Built in Rust, [Oxy] eliminates entire classes of bugs that plagued our Nginx/LuaJIT-based FL1, like memory safety issues and data races, while delivering C-level performance. At Cloudflare's scale, those guarantees aren't nice-to-haves, they're essential. Every microsecond saved per request translates into tangible improvements in user experience, and every crash or edge case avoided keeps the Internet running smoothly. Rust's strict compile-time guarantees also pair perfectly with FL2's modular architecture, where we enforce clear contracts between product modules and their inputs and outputs...

It's a big enough distraction from shipping products to customers to rebuild product logic in Rust. Asking all our teams to maintain two versions of their product logic, and reimplement every change a second time until we finished our migration was too much. So, we implemented a layer in our old NGINX and OpenResty based FL which allowed the new modules to be run. Instead of maintaining a parallel implementation, teams could implement their logic in Rust, and replace their old Lua logic with that, without waiting for the full replacement of the old system.
Over 100 engineers worked on FL2 — and there was extensive testing, plus a fallback-to-FL1 procedure. But "We started running customer traffic through FL2 early in 2025, and have been progressively increasing the amount of traffic served throughout the year...." As we described at the start of this post, FL2 is substantially faster than FL1. The biggest reason for this is simply that FL2 performs less work [thanks to filters controlling whether modules need to run]... Another huge reason for better performance is that FL2 is a single codebase, implemented in a performance focussed language. In comparison, FL1 was based on NGINX (which is written in C), combined with LuaJIT (Lua, and C interface layers), and also contained plenty of Rust modules. In FL1, we spent a lot of time and memory converting data from the representation needed by one language, to the representation needed by another. As a result, our internal measures show that FL2 uses less than half the CPU of FL1, and much less than half the memory. That's a huge bonus — we can spend the CPU on delivering more and more features for our customers!

Using our own tools and independent benchmarks like CDNPerf, we measured the impact of FL2 as we rolled it out across the network. The results are clear: websites are responding 10 ms faster at the median, a 25% performance boost. FL2 is also more secure by design than FL1. No software system is perfect, but the Rust language brings us huge benefits over LuaJIT. Rust has strong compile-time memory checks and a type system that avoids large classes of errors. Combine that with our rigid module system, and we can make most changes with high confidence...

We have long followed a policy that any unexplained crash of our systems needs to be investigated as a high priority. We won't be relaxing that policy, though the main cause of novel crashes in FL2 so far has been due to hardware failure. The massively reduced rates of such crashes will give us time to do a good job of such investigations. We're spending the rest of 2025 completing the migration from FL1 to FL2, and will turn off FL1 in early 2026. We're already seeing the benefits in terms of customer performance and speed of development, and we're looking forward to giving these to all our customers.

After that, when everything is modular, in Rust and tested and scaled, we can really start to optimize...!
Thanks to long-time Slashdot reader Beeftopia for sharing the article.

Slashdot reader BrianFagioli writes: Password manager 1Password's 2025 Annual Report: The Access-Trust Gap exposes how everyday employees are becoming accidental hackers in the AI era. The company's data shows that 73% of workers are encouraged to use AI tools, yet more than a third admit they do not always follow corporate policies. Many employees are feeding sensitive information into large language models or using unapproved AI apps to get work done, creating what 1Password calls "Shadow AI." At the same time, traditional defenses like single sign-on (SSO) and mobile device management (MDM) are failing to keep pace, leaving gaps in visibility and control.

The report warns that corporate security is being undermined from within. More than half of employees have installed software without IT approval, two-thirds still use weak passwords, and 38% have accessed accounts at previous employers. Despite rising enthusiasm for passkeys and passwordless authentication, 1Password says most organizations still depend on outdated systems that were never built for cloud-native, AI-driven work. The result is a growing "Access-Trust Gap" that could allow AI chaos and employee shortcuts to dismantle enterprise security from the inside.

An anonymous reader quotes a report from CNBC: Korean semiconductor giant Samsung said Thursday that it plans to buy and deploy a cluster of 50,000 Nvidia graphics processing units to improve its chip manufacturing for mobile devices and robots. The 50,000 Nvidia GPUs will be used to create a facility Samsung is calling an "AI Megafactory." Samsung didn't provide details about when the facility would be built. It's the latest splashy partnership for Nvidia, whose chips remain essential for building and deploying advanced artificial intelligence. [...]

On Thursday, Nvidia representatives said they will work with Samsung to adapt the Korean company's chipmaking lithography platform to work with Nvidia's GPUs. That process will results in 20 times better performance for Samsung, the Nvidia representatives said. Samsung will also use Nvidia's simulation software called Omniverse. Known for its mobile phones, Samsung also said it would use the Nvidia chips to run its own AI models for its devices. In addition to being a partner and customer, Samsung is also a key supplier for Nvidia. Samsung makes the kind of high-performance memory Nvidia uses in large quantities, alongside its AI chips, called high bandwidth memory. Samsung said it will work with Nvidia to tweak its HBM4 memory for use in AI chips.

OpenAI has introduced Aardvark, a GPT-5-powered autonomous agent that scans, reasons about, and patches code like a human security researcher. "By embedding itself directly into the development pipeline, Aardvark aims to turn security from a post-development concern into a continuous safeguard that evolves with the software itself," reports InfoWorld. From the report: What makes Aardvark unique, OpenAI noted, is its combination of reasoning, automation, and verification. Rather than simply highlighting potential vulnerabilities, the agent promises multi-stage analysis -- starting by mapping an entire repository and building a contextual threat model around it. From there, it continuously monitors new commits, checking whether each change introduces risk or violates existing security patterns.

Additionally, upon identifying a potential issue, Aardvark attempts to validate the exploitability of the finding in a sandboxed environment before flagging it. This validation step could prove transformative. Traditional static analysis tools often overwhelm developers with false alarms -- issues that may look risky but aren't truly exploitable. "The biggest advantage is that it will reduce false positives significantly," noted Jain. "It's helpful in open source codes and as part of the development pipeline."

Once a vulnerability is confirmed, Aardvark integrates with Codex to propose a patch, then re-analyzes the fix to ensure it doesn't introduce new problems. OpenAI claims that in benchmark tests, the system identified 92 percent of known and synthetically introduced vulnerabilities across test repositories, a promising indication that AI may soon shoulder part of the burden of modern code auditing.

ArsTechnica: When graphic design platform-provider Canva bought the Affinity image-editing and publishing apps early last year, we had some major questions about how the companies' priorities and products would mesh. How would Canva serve the users who preferred Affinity's perpetually licensed apps to Adobe's subscription-only software suite? And how would Affinity's strong stance against generative AI be reconciled with Canva's embrace of those technologies.

This week, Canva gave us definitive answers to all of those questions: a brand-new unified Affinity app that melds the Photo, Designer, and Publisher apps into a single piece of software called "Affinity by Canva" that is free to use with a Canva user account, but which gates generative AI features behind Canva's existing paid subscription plans ($120 a year for individuals).

This does seem like mostly good news, in the near to mid term, for existing Affinity app users who admired Affinity's anti-AI stance: All three apps' core features are free to use, and the stuff you're being asked to pay for is stuff you mostly don't want anyway. But it may come as unwelcome news for those who like the predictability of pay-once-own-forever software or are nervous about where Canva might draw the line between "free" and "premium" features down the line.

[...] There's now a dedicated page for the older versions of the Affinity apps, and an FAQ at the bottom of that page answers several questions about the fate of those apps. Affinity and Canva say they will continue to keep the activation servers and downloads for all Affinity v1 and v2 apps online for the foreseeable future, giving people who already own the existing apps a way to keep using the versions they're comfortable with. Users can opt to link their Serif Affinity store accounts to their new Canva accounts to access the old downloads without juggling multiple accounts. But those older versions of the apps "won't receive future updates" and won't be able to open files created in the new Canva-branded Affinity app.

An anonymous reader shares a report: Adobe brought together 10,000 marketers, filmmakers and content creators to its annual conference this week to persuade them that the company's software products are adapting to AI and remain the best tools for their work. But it's Adobe's investors, rather than its users, who are the most skeptical that generative AI technology won't disrupt the company's business as the top seller of software for creative professionals.

Despite a strong strategy, Adobe is "at risk of structural AI-driven competitive and pricing pressure," wrote Tyler Radke, an analyst at Citigroup. The company's shares have lost about a quarter of their value this year as AI tools like Google's video-generating model Veo have gained steam. In an interview with Bloomberg Television earlier this week, Adobe Chief Executive Officer Shantanu Narayen said the company is undervalued as the market is focused on semiconductors and the training of AI models.

PC Mag's Michael Kan writes: A "Keep Android Open" campaign is pushing back on new rules from Google that will reportedly block users from sideloading apps on Android phones. It's unclear who's running the campaign, but a blog post on the free Android app store F-Droid is directing users to visit the campaign's website, which urges the public to lobby government regulators to intervene and stop the upcoming restrictions. "Developers should have the right to create and distribute software without submitting to unnecessary corporate surveillance," reads an open letter posted to the site. [...]

Google has described the upcoming change as akin to requiring app developers to go through "an ID check at the airport." However, F-Droid condemned the new requirement as anti-consumer choice. "If you own a computer, you should have the right to run whatever programs you want on it," it says. Additionally, the rules threaten third-party app distribution on F-Droid, which operates as a "free/open-source app distribution" model.

In its blog post, F-Droid warns about the impact on users and Android app developers. "You, the creator, can no longer develop an app and share it directly with your friends, family, and community without first seeking Google's approval," the app store says. "Over half of all humankind uses an Android smartphone," the blog post adds. "Google does not own your phone. You own your phone. You have the right to decide who to trust, and where you can get your software from."

AI "cheating" app Cluely's CEO and cofounder, Chungin "Roy" Lee, said most startups flop because their products don't get seen. From a report: "Engineers just cannot make good content," Lee said during a Wednesday interview at TechCrunch Disrupt 2025 "There's a bunch of shallow replicas, but I challenge you to find one video you think is like, 'Yo, this is as tough as Cluely,'" he told TechCrunch.

Every startup needs to focus more on distribution. And most startups flop because they fail to get seen, even if they have product-market fit, Lee said. Cluely launched earlier this year as a tool to help software engineers cheat on their job interviews, among other use cases. The startup earlier this year posted a tongue-in-cheek video of Lee trying to use Cluely to impress a woman on a date, which went viral.

Nvidia is taking a $1 billion stake in Nokia, sending the Finnish telecom giant's shares up 22%. The two companies also struck a partnership to co-develop next-generation 6G and AI-driven networking technology. CNBC reports: The two companies also struck a strategic partnership to work together to develop next-generation 6G cellular technology. Nokia said that it would adapt its 5G and 6G software to run on Nvidia's chips, and will collaborate on networking technology for AI. Nokia said Nvidia would consider incorporating its technology into its future AI infrastructure plans. Nokia, a Finnish company, is best known for its early cellphones, but in recent years, it has primarily been a supplier of 5G cellular equipment to telecom providers.

Nvidia chief executive Jensen Huang said that maintaining the US edge in AI will require a steady approach that ensures China remains hooked on American technology. From a report: The chipmaker is in an "awkward place" as President Donald Trump prepares to meet with his Chinese counterpart Xi Jinping later this week, Huang told reporters Tuesday at a company conference in Washington. The Nvidia chief praised Trump's commitment to winning but urged careful engagement with China because of the country's massive software developer base and its growing technology capabilities.

During the meeting, Trump and Xi are expected to finalize an agreement to ease trade tensions between the world's two largest economies. When it comes to those negotiations, Huang said he has "no idea" if GPUs -- the chips central to artificial intelligence capabilities -- will be a topic between Trump and Xi.

Huang was careful to leave the negotiating to Trump but encouraged US leadership to think longer term on its overall AI strategy. "A policy that causes America to lose half of the world's developers is not beneficial long-term," Huang said, warning that it was still possible for the US to cede the AI race to China. Keeping US technology in front requires finesse," he said. "It requires balance. It requires long-term thinking."

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.