Linus Torvalds is "fairly positive" about vibe coding as a way for people to get computers to do things they otherwise could not. The Linux kernel maintainer made the comments during an interview at the Linux Foundation Open Source Summit in Seoul earlier this month. But he cautioned that vibe coding would be a "horrible, horrible idea from a maintenance standpoint" for production code.

Torvalds told Dirk Hohndel, head of open source at Verizon, that computers have become more complicated than when he learned to code by typing in programs from computer magazines. He said vibe coding offers a path into computing for newcomers. The kernel maintainer is not using AI-assisted coding himself. He said his role has shifted from rejecting new ideas to sometimes pushing for them against opposition from longstanding maintainers who "kind of get stuck in a rut."

Rust is "actually becoming a real part of the kernel instead of being this experimental thing," he said. Torvalds said AI crawlers have been "very disruptive to a lot of our infrastructure" because they gather data from kernel.org source code. Kernel maintainers receive bugs and security notices that are "made up by people who misuse AI," though the problem is smaller than for other projects such as curl.

Tsinghua University collected 4,986 AI and machine learning patents between 2005 and the end of 2024. The Beijing institution has received more than 900 patents last year alone. The total exceeds the combined patent count from MIT, Stanford, Princeton and Harvard during the same period. China now accounts for more than half of all active patent families globally in AI and machine learning fields, according to data analytics service LexisNexis.

The university also has more AI research papers among the 100 most cited than any other school at last count. The US still holds the most influential AI patents and the top performing models. Harvard and MIT consistently rank ahead of Tsinghua in patent influence. American institutions produced 40 notable AI models in 2024 compared to 15 from Chinese organizations, according to Stanford's AI Index Report. China's share of the world's elite AI researchers -- the top 2% -- rose from 10% in 2019 to 26% in 2022. The US share fell from 35% to 28% during the same period, according to the Information Technology & Innovation Foundation.

An anonymous reader quotes a report from CNBC: The Trump administration will provide Constellation Energy with a $1 billion loan to restart the Crane Clean Energy Center nuclear plant in Pennsylvania, Department of Energy officials said Tuesday. Previously known as Three Mile Island Unit 1, the plant is expected to start generating power again in 2027. Constellation unveiled plans to rename and restart the reactor in Sept. 2024 through a power purchase agreement with Microsoft to support the tech company's data center demand in the region.

Three Mile Island Unit 1 ceased operations in 2019, one of a dozen reactors that closed in recent years as nuclear struggled to compete against cheap natural gas. It sits on the same site as Three Mile Island Unit 2, the reactor that partially melted down in 1979 in the worst nuclear accident in U.S. history. The loan would cover the majority to the project's estimated cost of $1.6 billion. The first advance to Constellation is expected in the first quarter of 2026, said Greg Beard, senior advisor to the Energy Department's Loan Programs Office, in a call with reporters. The loan comes with a guarantee from Constellation that it will protect taxpayer money, Beard said.

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.

Klarna has claimed that AI-related savings have allowed the buy now, pay later company to increase staff salaries by nearly 60%, but hinted it could slash more jobs after nearly halving its workforce over the past three years. From a report: Chief executive Sebastian Siemiatkowski said headcount had dropped from 5,527 to 2,907 since 2022, mostly as a result of natural attrition, with departing staff replaced by technology rather than by new staff members.

The figures add to the impact of an internal artificial intelligence programme, which had steadily reduced its use of outsourced workers including those in customer service, with technology now carrying out the work of 853 full-time staff, up from 700 earlier this year. It meant the company, which was founded in Sweden in 2005, had managed to increase revenues by 108% while keeping operating costs flat. Siemiatkowski told analysts on an earnings call on Tuesday that it was "pretty remarkable, and unheard of as a number, among businesses."

Microsoft's Copilot AI assistant in Windows 11 fails to replicate the capabilities shown in the company's TV advertisements. The Verge tested Copilot Vision over a week using the same prompts featured in ads airing during NFL games. When asked to identify a HyperX QuadCast 2S microphone visible in a YouTube video -- a task successfully completed in Microsoft's ad -- Copilot gave multiple incorrect answers. The assistant identified the microphone as a first-generation HyperX QuadCast, then as a Shure SM7b on two other occasions. Copilot couldn't identify the Saturn V rocket from a PowerPoint presentation despite the words "Saturn V" appearing on screen. When asked about a cave image from Microsoft's ad, Copilot gave inconsistent responses.

About a third of the time it provided directions to find the photo in File Explorer. On two occasions it explained how to launch Google Chrome. Four times it offered advice about booking flights to Belize. The cave is Rio Secreto in Playa del Carmen, Mexico. Microsoft spokesperson Blake Manfre said "Copilot Actions on Windows, which can take actions on local files, is not yet available." He described it as "an opt-in experimental feature that will be coming soon to Windows Insiders in Copilot Labs, starting with a narrow set of use cases while we optimize model performance and learn." Copilot cannot toggle basic Windows settings like dark mode. When asked to analyze a benchmark table in Google Sheets, it "constantly misread clear-as-day scores both in the spreadsheet and in the on-page review."

A majority of global fund managers think companies are overinvesting, as market anxiety grows about the sustainability of the AI spending boom. From a report: A net 20 per cent of fund managers surveyed this month by Bank of America said companies were spending too much on their investments -- the first time this has been a majority view in data running back to 2005. "This jump is driven by concerns over the magnitude and financing of the AI capex boom," said BofA analysts.

The surge in investment to develop AI infrastructure has been a dominant theme in the record rally in US tech stocks this year -- with chipmaker Nvidia becoming the world's first $5tn company last month -- but growing concerns about the sustainability of this spending has caused a pullback on Wall Street in recent weeks.

Google released Gemini 3 on Tuesday, launching its latest AI model with a breakthrough score of 1501 Elo on the LMArena Leaderboard alongside state-of-the-art performance across multiple benchmarks including 91.9% on GPQA Diamond for PhD-level reasoning and 37.5% on Humanity's Last Exam without tool usage. The model is available starting today in the Gemini app, AI Mode in Search for Google AI Pro, Google AI Studio, Vertex AI and the newly launched Google Antigravity agentic development platform. Third-party platforms including Cursor, GitHub, JetBrains, Manus, and Replit are also gaining access.

Separately, Google said AI Overviews now have 2 billion users every month. Gemini app has topped 650 million users per month.

Microsoft has rolled out a new preview build for Windows 11 Insiders in the Dev and Beta Channel this week that introduces a new toggle called 'experimental agentic features' that can be enabled or disabled in the Windows Settings app. From a report: According to Microsoft, this new toggle is designed to "allow agents to use new Windows agentic features." The company says the feature will work with AI-powered apps, which "help you automate everyday tasks -- like organizing files, scheduling meetings, or sending emails -- so you can spend less time on busy work and more time on what matters most. One powerful way apps are implementing AI today is by interacting with your apps and your files, using vision and advanced reasoning to click, type and scroll like a human would."

The setting in the Windows Setting says "When this setting is on, agents can use Windows agentic features." Features such as the recently announced Copilot Actions for Windows feature are going to take advantage of this new experimental agentic feature capability.

Microsoft, Nvidia and OpenAI-rival Anthropic announced strategic partnerships today that will scale Claude on Microsoft Azure and bring up to $15 billion in new investment to the AI startup. Anthropic committed to purchase $30 billion of Azure compute capacity and contract additional capacity up to one gigawatt. Nvidia and Microsoft -- the largest investor in OpenAI -- committed to invest up to $10 billion and up to $5 billion respectively in Anthropic.

Every company would be affected if the AI bubble were to burst, the head of Google's parent firm Alphabet has told the BBC. From the report: Speaking exclusively to BBC News, Sundar Pichai said while the growth of artificial intelligence investment had been an "extraordinary moment", there was some "irrationality" in the current AI boom. It comes amid fears in Silicon Valley and beyond of a bubble as the value of AI tech companies has soared in recent months and companies spend big on the burgeoning industry.

Asked whether Google would be immune to the impact of the AI bubble bursting, Mr Pichai said the tech giant could weather that potential storm, but also issued a warning. "I think no company is going to be immune, including us," he said. In a wide-ranging exclusive interview at Google's California headquarters, he also addressed energy needs, slowing down climate targets, UK investment, the accuracy of his AI models, and the effect of the AI revolution on jobs.

Even after disabling remote control and officially ending support for early Nest Learning Thermostats, Google is still receiving detailed sensor and activity data from these devices, including temperature changes, motion, and ambient light. The Verge reports: After digging into the backend, security researcher Cody Kociemba found that the first- and second-generation Nest Learning Thermostats are still sending Google information about manual temperature changes, whether a person is present in the room, if sunlight is hitting the device, and more. Kociemba made the discovery while participating in a bounty program created by FULU, a right-to-repair advocacy organization cofounded by electronics repair technician and YouTuber Louis Rossmann.

FULU challenged developers to come up with a solution to restore smart functionality to Nest devices no longer supported by Google, and that's exactly what Kociemba did with his open-source No Longer Evil project. But after cloning Google's API to create this custom software, he started receiving a trove of logs from customer devices, which he turned off. "On these devices, while they [Google] turned off access to remotely control them, they did leave in the ability for the devices to upload logs. And the logs are pretty extensive," Kociemba tells The Verge. [...] "I was under the impression that the Google connection would be severed along with the remote functionality, however that connection is not severed, and instead is a one-way street," Kociemba says.

fjo3 shares a report from TheWrap: There are already at least 175,000 AI-generated podcast episodes on platforms like Spotify and Apple. That's thanks to Inception Point AI, a startup with just eight employees cranking out 3,000 episodes a week covering everything from localized weather reports and pollen trackers to a detailed account of Charlie Kirk's assassination and its cultural impact, to a biography series on Anna Wintour. Its podcasting network Quiet Please has generated 12 million lifetime episode downloads and amassed 400,000 subscribers -- so, yes, people are really listening to AI podcasts.

Inception Point CEO Jeanine Wright believes the tool is proof that automation can make podcasting scalable, profitable and accessible without human writers, editors or hosts. "The price is now so inexpensive that you can take a lot of risks,â Wright told TheWrap. "You can make a lot of content and a lot of different genres that were never commercially viable before and serve huge audiences that have really never had content made for them." At a cost of $1 an episode, Wright takes a quantity-over-quality approach. "I think very quickly we get to a place where AI is a default way that content is made, not just across audio, but across television and film and commercials and imagery, and everything. And then we will disclose when things are not made with AI instead of that they were made with AI," Wright said. "But for now, we are perfectly happy leading the way."

An anonymous reader shares a report: The use of AI in the latest Call of Duty has prompted a US lawmaker to call for regulations to prevent artificial intelligence from taking jobs away from human workers. Rep. Ro Khanna (D-Calif.), who represents a large swathe of Silicon Valley, took aim at Call of Duty: Black Ops 7 after buyers noticed the popular shooter contains a significant amount of AI-generated icons, posters, and achievements. Gamers are criticizing it as filled with "AI slop."

On Friday, Khanna tweeted: "We need regulations that prevent companies from using AI to eliminate jobs to extract greater profits." He added, "Artists at these companies need to have a say in how AI is deployed. They should share in the profits. And there should be a tax on mass displacement."

Anthropic CEO Dario Amodei says he's uneasy about how much power a handful of tech leaders -- including himself -- have over the future of artificial intelligence. From a report: "I think I'm deeply uncomfortable with these decisions being made by a few companies, by a few people," Amodei told Anderson Cooper in a "60 Minutes" episode that aired Sunday. "Like who elected you and Sam Altman?" asked Anderson. "No one. Honestly, no one," Amodei replied.

Jeff Bezos has founded an AI startup called Project Prometheus and will serve as its co-chief executive. This is his first formal operational role since stepping down as chief executive of Amazon in July 2021. The company has raised $6.2 billion in funding, The New York Times reports, partly from Bezos. The funding makes Project Prometheus one of the most well-financed early-stage startups in the world.

Bezos's co-founder and co-chief executive is Vik Bajaj, a physicist and chemist who worked closely with Google co-founder Sergey Brin at Google X. Dr. Bajaj was among the founders of Verily in 2015 and co-founded Foresite Labs in 2018. He recently left that position to focus on Project Prometheus. The company is focusing on AI for engineering and manufacturing in computers, aerospace, and automobiles. The startup has already hired nearly 100 employees, the report said. Researchers from OpenAI, DeepMind, and Meta are among the hires. Project Prometheus is building AI systems that learn from physical experiments rather than just analyzing digital text.

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.

"To be clear, the current economics of space-based data centers don't make sense," writes the Wall Street Journal.

"But they could in the future, perhaps as soon as a decade or so from now, according to an analysis by Phil Metzger, a research professor at the University of Central Florida and formerly of the National Aeronautics and Space Administration." "Space enthusiasts (comme moi) have long sought a business case to enable human migration beyond our home world," he posted on X amid the new hype. "I think AI servers in space is the first real business case that will lead to many more...."

The argument essentially boils down to the belief that AI's needs are eventually going to grow so great that we need to move to outer space. There the sun's power can be more efficiently harvested. In space, the sun's rays can be direct and constant for solar panels to collect — no clouds, no rainstorms, no nighttime. Demands for cooling could also be cut because of the vacuum of space. Plus, there aren't those pesky regulations that executives like to complain about, slowing construction of new power plants to meet the data-center needs. In space, no one can hear the Nimbys scream. "We will be able to beat the cost of terrestrial data centers in space in the next couple of decades," Bezos said at a tech conference last month. "Space will end up being one of the places that keeps making Earth better."

It's still early days. At Alphabet, Google's plans sound almost conservative. The search-engine company in recent days announced Project Suncatcher, which it describes as a moonshot project to scale machine learning in space. It plans to launch two prototype satellites by early 2027 to test its hardware in orbit. "Like any moonshot, it's going to require us to solve a lot of complex engineering challenges," Pichai posted on social media. Nvidia, too, has announced a partnership with startup Starcloud to work on space-based data centers. Not to be outdone, Elon Musk has been painting his own updated vision for the heavens... in recent weeks he has been talking more about how he can use his spaceships to deploy new versions of his solar-powered Starlink satellites equipped with high-speed lasers to build out in-space data centers.

On Friday, Musk further reiterated how those AI satellites would be able to generate 100 gigawatts of annual solar power — or, what he said, would be roughly a quarter of what the U.S. consumes on average in a year. "We have a plan mapped out to do it," he told investor Ron Baron during an event. "It gets crazy." Previously, he has suggested he was four to five years away from that ability. He's also touted even wilder ideas, saying on X that 100 terawatts a year "is possible from a lunar base producing solar-powered AI satellites locally and accelerating them to escape velocity with a mass driver." Simply put, he's suggesting a moon base will crank out satellites and throw them into orbit with a catapult. And those satellites' solar panels would generate 100,000 gigawatts a year. "I think we'll see intelligence continue to scale all the way up to where...most of the power of the sun is harnessed for compute," Musk told a tech conference in September.

"Windows is evolving into an agentic OS," Microsoft's president of Windows Pavan Davuluri posted on X.com, "connecting devices, cloud, and AI to unlock intelligent productivity and secure work anywhere."

But former Uber software engineer and engineering manager Gergely Orosz was unimpressed. "Can't see any reason for software engineers to choose Windows with this weird direction they are doubling down on. So odd because Microsoft has building dev tools in their DNA... their OS doesn't look like anything a builder who wants OS control could choose. Mac or Linux it is for devs."

Davuluri "has since disabled replies on his original post..." notes the blog Windows Central, "which some people viewed as an attempt to shut out negative feedback." But he also replied to that comment... Davuluri says "we care deeply about developers. We know we have work to do on the experience, both on the everyday usability, from inconsistent dialogs to power user experiences. When we meet as a team, we discuss these pain points and others in detail, because we want developers to choose Windows..." The good news is Davuluri has confirmed that Microsoft is listening, and is aware of the backlash it's receiving over the company's obsession with AI in Windows 11. That doesn't mean the company is going to stop with adding AI to Windows, but it does mean we can also expect Microsoft to focus on the other things that matter too, such as stability and power user enhancements.
Elsewhere on X.com, Microsoft CEO Satya Nadella shared his own thoughts on "the net benefit of the AI platform wave ." The Times of India reports: Nadella said tech companies should focus on building AI systems that create more value for the people and businesses using them, not just for the companies that make the technology. He cited Bill Gates to emphasize the same: "A platform is when the economic value of everybody that uses it exceeds the value of the company that creates it."Tesla CEO Elon Musk responded to Nadella's post with a facepalm emoji.

Nadella said this idea matters even more during the current AI boom, where many firms risk giving away too much of their own value to big tech platforms. "The real question is how to empower every company out there to build their own AI-native capabilities," he wrote. Nadella says Microsoft's partnership with OpenAI is an example of zero-sum mindset industry... [He also cited Microsoft's "work to bring AMD into the fleet."]
More from Satya Nadella's post: Thanks to AI, the [coding] category itself has expanded and may ultimately become one of the largest software categories. I don't ever recall any analyst ever asking me about how much revenue Visual Studio makes! But now everyone is excited about AI coding tools. This is another aspect of positive sum, when the category itself is redefined and the pie becomes 10x what it was! With GitHub Copilot we compete for our share and with GitHub and Agent HQ we also provide a platform for others.

Of course, the real test of this era won't be when another tech company breaks a valuation record. It will be when the overall economy and society themselves reach new heights. When a pharma company uses AI in silico to bring a new therapy to market in one year instead of twelve. When a manufacturer uses AI to redesign a supply chain overnight. When a teacher personalizes lessons for every student. When a farmer predicts and prevents crop failure.That's when we'll know the system is working.

Let us move beyond zero-sum thinking and the winner-take-all hype and focus instead on building broad capabilities that harness the power of this technology to achieve local success in each firm, which then leads to broad economic growth and societal benefits. And every firm needs to make sure they have control of their own destiny and sovereignty vs just a press release with a Tech/AI company or worse leak all their value through what may seem like a partnership, except it's extractive in terms of value exchange in the long run.

An anonymous reader shared this report from CNBC: [T]he computing power of crypto mining generates a lot of heat, most which just ends up vented into the air. According to digital assets brokerage, K33, the bitcoin mining industry generates about 100 TWh of heat annually — enough to heat all of Finland.This energy waste within a very energy-intense industry is leading entrepreneurs to look for ways to repurpose the heat for homes, offices, or other locations, especially in colder weather months.

During a frigid snap earlier this year, The New York Times reviewed HeatTrio, a $900 space heater that also doubles as a bitcoin mining rig. Others use the heat from their own in-home cryptocurrency mining to spread warmth throughout their house. "I've seen bitcoin rigs running quietly in attics, with the heat they generate rerouted through the home's ventilation system to offset heating costs. It's a clever use of what would otherwise be wasted energy," said Jill Ford, CEO of Bitford Digital, a sustainable bitcoin mining company based in Dallas... "Same price as heating the house, but the perk is that you are mining bitcoin," Ford said...

The crypto-heated future may be unfolding in the town of Challis, Idaho, where Cade Peterson's company, Softwarm, is repurposing bitcoin heat to ward off the winter. Several shops and businesses in town are experimenting with Softwarm's rigs to mine and heat. At TC Car, Truck and RV Wash, Peterson says, the owner was spending $25 a day to heat his wash bays to melt snow and warm up the water. "Traditional heaters would consume energy with no returns. They installed bitcoin miners and it produces more money in bitcoin than it costs to run," Peterson said. Meanwhile, an industrial concrete company is offsetting its $1,000 a month bill to heat its 2,500-gallon water tank by heating it with bitcoin. Peterson has heated his own home for two-and-a-half years using bitcoin mining equipment and believes that heat will power almost everything in the future. "You will go to Home Depot in a few years and buy a water heater with a data port on it and your water will be heated with bitcoin," Peterson said.
Derek Mohr, clinical associate professor at the University of Rochester Simon School of Business, remains skeptical. Bitcoin mining is so specialized now that a home computer, or even network of home computers, would have almost zero chance of being helpful in mining a block of bitcoin, according to Mohr, with mining farms use of specialized chips that are created to mine bitcoin much faster than a home computer... "The bitcoin heat devices I have seen appear to be simple space heaters that use your own electricity to heat the room..."
CNBC also spoke to Andrew Sobko, founder of Argentum AI (which is building a marketplace for sharing computing power), who says the idea makes the most sense in larger settings. "We're working with partners who are already redirecting compute heat into building heating systems and even agricultural greenhouse warming. That's where the economics and environmental benefits make real sense. Instead of trying to move the heat physically, you move the compute closer to where that heat provides value."