An anonymous reader quotes a report from Bloomberg: The world's largest music companies have licensed their works to a music startup called Klay, which is building a streaming service that will allow users to remake songs using artificial intelligence tools. Klay is the first music AI service to reach a deal with all three major record labels, Universal Music Group NV, Sony Music and Warner Music Group Corp., according to people familiar with the deals. Klay plans to announce its agreements in the coming days, said the people, who asked not to be identified discussing confidential plans.

Klay is building a product that will offer the features of a streaming service like Spotify, amplified by AI technology that will let users remake songs in different styles. Klay has licensed the rights to thousands of hit songs so that it can train its large language model. The company has positioned itself as a friend of the industry, offering assurances that the artists and labels will have some control over how their work is used. Klay is led by music producer Ary Attie and also employs former executives from Sony Music and Google's DeepMind, an AI laboratory.

An anonymous reader quotes a report from Ars Technica: Google's meme-friendly Nano Banana image-generation model is getting an upgrade. The new Nano Banana Pro is rolling out with improved reasoning and instruction following, giving users the ability to create more accurate images with legible text and make precise edits to existing images. It's available to everyone in the Gemini app, but free users will find themselves up against the usage limits pretty quickly. Nano Banana Pro is part of the newly launched Gemini 3 Pro -- it's actually called Gemini 3 Pro Image in the same way the original is Gemini 2.5 Flash Image, but Google is sticking with the meme-y name. You can access it by selecting Gemini 3 Pro and then turning on the "Create images" option.

Google says the new model can follow complex prompts to create more accurate images. The model is apparently so capable that it can generate an entire usable infographic in a single shot with no weird AI squiggles in place of words. Nano Banana Pro is also better at maintaining consistency in images. You can blend up to 14 images with this tool, and it can maintain the appearance of up to five people in outputs. Google also promises better editing. You can refine your AI images or provide Nano Banana Pro with a photo and make localized edits without as many AI glitches. It can even change core elements of the image like camera angles, color grading, and lighting without altering other elements. Google is pushing the professional use angle with its new model, which has much-improved resolution options. Your creations in Nano Banana Pro can be rendered at up to 4K.

An anonymous reader shares a report: Epishine, a company that makes solar cells optimized for indoor lighting, has announced its technology is being used in a new remote control for Google TV devices, as spotted by 9to5Google. The remote will rely on rechargeable batteries instead of disposable ones, and thanks to the use of solar cells on both sides it may only run out of power when it gets buried and forgotten in the dark abyss of your couch cushions.

Nvidia and Google announced today a new cloud gaming plan called GeForce Now Fast Pass that is exclusive to Chromebooks. Anyone who purchases a new Chromebook will receive a year of the service included with their device at no additional charge. Fast Pass allows Chromebook owners to stream more than 2,000 games from their existing Steam, Epic or Xbox libraries.

The service removes ads and lets users skip the queue that typically adds two minutes or more of wait time on GeForce Now's free tier. Users get 10 hours of cloud gaming each month. Up to five unused hours can roll over to the following month. Nvidia offers other paid plans starting at $9.99 per month that support higher resolutions, faster frame rates, RTX ray-tracing, and access to a larger game library that includes thousands of additional titles. The companies did not announce pricing for Fast Pass after the first year ends.

Android's Quick Share file transfer service can now work with Apple's AirDrop, allowing users to send files between iPhones and Android devices. Google has started rolling out the feature to its Pixel 10 family of smartphones. The cross-platform compatibility includes security protections that the company says independent security experts tested. Google said it built the feature in response to user requests for simpler file sharing between devices regardless of manufacturer. The company plans to expand availability to additional Android devices.

Nvidia blew past earnings expectations with soaring revenue and profit, easing fears of an AI bubble and reinforcing its position as the engine of the global AI boom. From a report: Nvidia's sales grew 62% year-over-year to $57 billion in the October quarter, ahead of the $54.9 billion Wall Street had projected, signaling that demand for AI chips remains strong even as more questions emerge about whether returns from the technology will keep up with the pace of AI infrastructure investments. It posted profits of $31.9 billion, up 65% from the year-ago quarter and also slightly above expectations.

"Blackwell sales are off the charts, and cloud GPUs are sold out," Nvidia CEO Jensen Huang said in a statement, a message that echoes his earlier arguments that fears of an AI bubble are overblown. The company also posted stronger-than-expected sales guidance of around $65 billion for the fourth quarter, another indicator that the AI spending spree isn't slowing anytime soon.

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.

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."

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.

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.

NetChoice is suing Virginia to block a new law that limits kids under 16 to one hour of daily social media use unless parents approve more time, arguing the rule violates the First Amendment and introduces serious privacy risks through mandatory age-verification. The Verge reports: In addition to restricting access to legal speech, NetChoice alleges that Virginia's incoming law (SB 854) will require platforms to verify user ages in ways that would pose privacy and security risks. The law requires platforms to use "commercially reasonable methods," which it says include a screen that prompts the user to enter a birth date. However, NetChoice argues that Virginia could go beyond this requirement, citing a post from Governor Youngkin on X, stating "platforms must verify age," potentially referring to stricter methods, like having users submit a government ID or other personal information.

NetChoice, which is backed by tech giants like Meta, Google, Amazon, Reddit, and Discord, alleges that the law puts a burden on minors' ability to engage or consume speech online. "The First Amendment prohibits the government from placing these types of restrictions on accessing lawful and valuable speech, just in the same way that the government can't tell you how long you could spend reading a book, watching a television program, or consuming a documentary," Paul Taske, the co-director of the Netchoice Litigation Center, tells The Verge.

"Virginia must leave the parenting decisions where they belong: with parents," Taske says. "By asserting that authority for itself, Virginia not only violates its citizens' rights to free speech but also exposes them to increased risk of privacy and security breaches."

An anonymous reader quotes a report from Bloomberg: Amazon Web Services, Microsoft's Azure, and Alphabet's Google Cloud risk being dragged into the scope of the European Union's crackdown on Big Tech as antitrust watchdogs prepare to study the platforms' market power. The European Commission wants to decide if any of the trio should face a raft of new restrictions under the bloc's Digital Markets Act (source paywalled; alternative source), according to people familiar with the matter who spoke on condition of anonymity. The plan for a market probe follows several major outages in the cloud industry that wrought havoc across global services, highlighting the risks of relying on a mere handful of players.

To date, the world's largest cloud providers have avoided the DMA because a large part of their business comes via enterprise contracts, making it difficult to count the number of individual users, one of the EU's main benchmarks for earmarking Silicon Valley services for extra oversight. Under the investigation's remit, regulators will asses whether the top cloud operators -- regardless of the challenge of counting user numbers -- should be forced to contend with a raft of fresh obligations including increased interoperability with rival software and better data portability for users, as well as restrictions on tying and bundling.

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.

"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.

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...

CNN profiled the non-profit Internet Archive today — and included this tidbit about how they archive parts of the internet that are now "tucked in conversations with AI chatbots." The rise of artificial intelligence and AI chatbots means the Internet Archive is changing how it records the history of the internet. In addition to web pages, the Internet Archive now captures AI-generated content, like ChatGPT answers and those summaries that appear at the top of Google search results. The Internet Archive team, which is made up of librarians and software engineers, are experimenting with ways to preserve how people get their news from chatbots by coming up with hundreds of questions and prompts each day based on the news, and recording both the queries and outputs, [says Wayback Machine Director Mark Graham].
It sounds like a fun place to work... Archivists use bespoke machines to digitize books page by page, livestreaming their work on YouTube for all to see (alongside some lo-fi music). Record players churn out vintage tunes from 1920s and 1940s, and the building houses every type of media console for any type of content imaginable, from microfilm, to CDs and satellite television. (The Internet Archive preserves music, television, books and video games, too)... "There are a lot of people that are just passionate about the cause. There's a cyberpunk atmosphere," Annie Rauwerda, a Wikipedia editor and social media influencer, said at a party thrown at the Internet Archive's headquarters to celebrate reaching a trillion pages "The internet (feels) quite corporate when I use it a lot these days, but you wouldn't know from the people here."

An anonymous reader shared this report from PC World: It won't whip the llama's ass, but Opera has added a Spotify visualizer to its latest iteration of its free Opera One browser. Known as Sonic, the visualizer will be part of Opera's Dynamic Themes, which use the WebGPU standard to employ a dynamic theme that runs in the background of the browser. It's essentially a shader, which uses your PC's graphics engine to generate the moving background.

The browser also comes with a music player, which is set to Spotify by default. Users will have an opportunity to upgrade to Spotify Premium as part of the browser upgrade, Opera said. Opera's Sonic theme... takes the Spotify input and transforms it into a dynamic background.
"As any old tech head knows, the original visualizer was found in Winamp, which would sync visualizations to the beat and flow of music being played," the article points out.

And 27 years later, WinAmp arrived as an app in Apple's App Store and Google Play and in April of 2024. (The latest version was apparently released this May — and you can also download it to your desktop...)

Somewhere along the way, Winamp also announced "Winamp for Creators," which they're describing as a dedicated platform for music artists with monetization and promotion tools, music management services, and other essential resources "to help creators take control of their careers" (including "a powerful social media publishing tool that lets users write a single post and push it to all their social media channels simultaneously.")

"Google is going to court to help put an end to, or at least limit, the prevalence of phishing scams over text message," reports BGR: Google said it's bringing suit against Lighthouse, an impressively large operation that allegedly provides tools customers can buy to set up their own specialized phishing scams. All told, Google estimates that Lighthouse-affiliated scams in the U.S. have stolen anywhere between 12.7 million and 115 million credit cards. "Bad actors built Lighthouse as a phishing-as-a-service kit to generate and deploy massive SMS phishing attacks," Google notes. "These attacks exploit established brands like E-Z Pass to steal people's financial information."

Google's legal action is comprehensive and is intent on completely dismantling Lighthouse's operations. The search giant is bringing claims under RICO, the Lanham Act, and the Computer Fraud and Abuse Act (CFAA). RICO, which often comes up in movies and television shows, allows authorities to treat Lighthouse's phishing operation as a broad criminal enterprise as opposed to isolated scams. By using RICO, Google also expands the list of individuals who can be found liable, whether it be the people who started Lighthouse, the people who run it, or even unaffiliated customers who used the company's services. The Lanham Act, for those unaware, targets malicious actors who misappropriate well-known company trademarks in order to confuse consumers. This Lanham Act comes into play because many phishing scams masquerade as legitimate messages from companies like Amazon and FedEx. The Computer Fraud and Abuse Act, meanwhile, is relevant because scammers typically use stolen credentials to gain unauthorized access to financial systems, something the CFAA is designed to target...

The fact that Google is invoking all three of the acts above underscores how serious the company is about putting a stop to SMS-based scams. By using all three, Google's legal attack is more potent and also expands the range of available remedies to include civil damages and criminal penalties. In short, Google isn't merely trying to win a legal case; it's aiming to emphatically and permanently stop Lighthouse in its tracks.
Getting even more aggressive, Google says it's also working with the U.S. Congress to pass new anti-scammer legislation, and endorsed these three new bipartisan bills:

• The Scam Compound Accountability and Mobilization (SCAM) Act "would develop a national strategy to counter scam compounds, enhance sanctions and support survivors of human trafficking within these compounds."

• The Foreign Robocall Elimination Act "would establish a taskforce focused on how to best block foreign-originated illegal robocalls before they ever reach American consumers."

• The Guarding Unprotected Aging Retirees from Deception (GUARD) Act "would empower state and local law enforcement by enabling them to utilize federal grant funding to investigate financial fraud and scams specifically targeting retirees. "

Thanks to Slashdot reader anderzole for sharing the article.

The dream of quantum computers has been hampered by the challenge of error correction, writes the Harvard Gazette, since qubits "are inherently susceptible to slipping out of their quantum states and losing their encoded information."

But in a newly-published paper, a research team "combined various methods to create complex circuits with dozens of error correction layers" that "suppresses errors below a critical threshold — the point where adding qubits further reduces errors rather than increasing them." "For the first time, we combined all essential elements for a scalable, error-corrected quantum computation in an integrated architecture," said Mikhail Lukin, co-director of the Quantum Science and Engineering Initiative, Joshua and Beth Friedman University Professor, and senior author of the new paper. "These experiments — by several measures the most advanced that have been done on any quantum platform to date — create the scientific foundation for practical large-scale quantum computation..."

"There are still a lot of technical challenges remaining to get to very large-scale computer with millions of qubits, but this is the first time we have an architecture that is conceptually scalable," said lead author Dolev Bluvstein, Ph.D. '25, who did the research during his graduate studies at Harvard and is now an assistant professor at Caltech. "It's going to take a lot of effort and technical development, but it's becoming clear that we can build fault-tolerant quantum computers...."

Hartmut Neven, vice president of engineering at the Google Quantum AI team, said the new paper came amid an "incredibly exciting" race between qubit platforms. "This work represents a significant advance toward our shared goal of building a large-scale, useful quantum computer," he said... With recent advances, Lukin believes the core elements for building quantum computers are falling into place. "This big dream that many of us had for several decades, for the first time, is really in direct sight," he said.
"In theory, a system of 300 quantum bits can store more information than the number of particles in the known universe..." the article points out.

"The new paper represents an important advance in a three-decade pursuit of quantum error correction."

Thanks to long-time Slashdot reader schwit1 for sharing the article.