An anonymous reader quotes a report from Ars Technica: Some Dell and HP laptop owners have been befuddled by their machines' inability to play HEVC/H.265 content in web browsers, despite their machines' processors having integrated decoding support. Laptops with sixth-generation Intel Core and later processors have built-in hardware support for HEVC decoding and encoding. AMD has made laptop chips supporting the codec since 2015. However, both Dell and HP have disabled this feature on some of their popular business notebooks.

HP discloses this in the data sheets for its affected laptops, which include the HP ProBook 460 G11 [PDF], ProBook 465 G11 [PDF], and EliteBook 665 G11 [PDF]. "Hardware acceleration for CODEC H.265/HEVC (High Efficiency Video Coding) is disabled on this platform," the note reads. Despite this notice, it can still be jarring to see a modern laptop's web browser eternally load videos that play easily in media players. HP and Dell didn't explain why the companies disabled HEVC hardware decoding on their laptops' processors.

A statement from an HP spokesperson said: "In 2024, HP disabled the HEVC (H.265) codec hardware on select devices, including the 600 Series G11, 400 Series G11, and 200 Series G9 products. Customers requiring the ability to encode or decode HEVC content on one of the impacted models can utilize licensed third-party software solutions that include HEVC support. Check with your preferred video player for HEVC software support."

Dell's media relations team shared a similar statement: "HEVC video playback is available on Dell's premium systems and in select standard models equipped with hardware or software, such as integrated 4K displays, discrete graphics cards, Dolby Vision, or Cyberlink BluRay software. On other standard and base systems, HEVC playback is not included, but users can access HEVC content by purchasing an affordable third-party app from the Microsoft Store. For the best experience with high-resolution content, customers are encouraged to select systems designed for 4K or high-performance needs."

Roblox is rolling out mandatory facial age-verification for chat features to prevent children from communicating with adult strangers. The platform will restrict chat to verified age groups, expand parental controls, and become the first major gaming platform to require facial age checks for messaging. The BBC reports: Mandatory age checks will be introduced for accounts using chat features, starting in December for Australia, New Zealand and the Netherlands, then the rest of the globe from January. [...] Rani Govender, policy manager for child safety online at the NSPCC, said action had been needed because young people had been exposed to "unacceptable risks" on Roblox, "leaving many vulnerable to harm and online abuse."

The charity welcomed the platform's latest announcement but called on Roblox to "ensure they deliver change for children in practice and prevent adult perpetrators from targeting and manipulating young users." The platform averaged more than 80 million daily players in 2024, about 40% of them under the age of 13. [...]

Matt Kaufman, chief safety officer for Roblox, told a press briefing the age estimation technology is "pretty accurate." He claimed the system can make close estimates of "within one to two years" bracket for users aged between five and 25. Currently it can be used voluntarily by anyone in the world.

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.

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.

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.

Researchers at the University of Vienna extracted phone numbers for 3.5 billion WhatsApp users by systematically checking every possible number through the messaging service's contact discovery feature. The technique yielded profile photos for 57% of those accounts and profile text for 29 percent. The researchers checked roughly 100 million numbers per hour using WhatsApp's browser-based app.

The team warned Meta in April and deleted their data. The company implemented stricter rate-limiting by October to prevent such mass enumeration. Meta called the exposed information "basic publicly available information" and said it found no evidence of malicious exploitation. The vulnerability had been identified before. In 2017, Dutch researcher Loran Kloeze published a blog post detailing the same enumeration technique. Meta responded then that WhatsApp's privacy settings were functioning as designed and denied him a bug bounty reward. The researchers collected 137 million U.S. phone numbers. In India, they found nearly 750 million numbers. They also discovered 2.3 million Chinese numbers and 1.6 million Myanmar numbers, despite WhatsApp being banned in both countries. The researchers analyzed the cryptographic keys and found some accounts used duplicate keys. They speculate this resulted from unauthorized WhatsApp clients rather than a platform flaw.

"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 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.")

It's been trying to measure the popularity of programming languages since 2000 using metrics like the number of engineers, courses, and third-party vendors. And "The November 2025 TIOBE Index brings another twist below Python's familiar lead," writes TechRepublic. "C solidifies its position as runner-up, C++ and Java lose some ground, and C# moves sharply upward, narrowing the gap with Java to less than a percentage point..."

TIO CEO Paul Jansen said this month that "Instead of Python, programming language C# is now the fastest rising language," How did C# achieve this? Java and C# are battling for a long time in the same areas. Right now it seems like C# has removed every reason why not to use C# instead of Java: it is cross platform nowadays, it is open source and it contains all new language features a developer wants. While the financial world is still dominated by Java, all other terrains show equal shares between Java and C#. Besides this, Microsoft is going strong and C# is still their most backed programming language.

Interesting note: C# has never been higher than Java in the TIOBE index. Currently the difference between the two rivals is less than 1%. There are exciting times ahead of us. Is C# going to surpass Java for the first time in the TIOBE index history?
"The fact that C# has been in the news for the successive betas and pre-release candidates prior to the release of C# 14 may have bumped up its percentage share in the last few months," notes a post on the site i-Programmer. But they also point out that by TIOBE's reckoning, Java — having been overtaken by Python in 2021 — "has been in decline ever since."

TechRepublic summarizes the rest of the Top Ten: JavaScript stays in sixth place at 3.42%, and Visual Basic edges up to seventh with 3.31%. Delphi/Object Pascal nudges upward to eighth at 2.06%, while Perl returns to the top 10 in ninth at 1.84% after a sharp year-over-year climb. SQL rounds out the list at tenth with 1.80%, maintaining a foothold that shows the enduring centrality of relational databases. Go, which held eighth place in October, slips out of the top 10 entirely.
Here's how TIOBE's methodology ranks programming language popularity in November:

1. Python
2. C
3. C++
4. Java
5. C#
6. JavaScript
7. Visual Basic
8. Delphi/Object Pascal
9. Perl
10. SQL

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.

A new "cold war" between America and China is "pushing leaders to sideline concerns about the dangers of powerful AI models," reports the Wall Street Journal, "including the spread of disinformation and other harmful content, and the development of superintelligent AI systems misaligned with human values..."

"Both countries are driven as much by fear as by hope of progress. " In Washington and Silicon Valley, warnings abound that China's "authoritarian AI," left unchecked, will erode American tech supremacy. Beijing is gripped by the conviction that a failure to keep pace in AI will make it easier for the U.S. to cut short China's resurgence as a global power. Both countries believe market share for their companies across the world is up for grabs — and with it, the potential to influence large swaths of the global population.

The U.S. still has a clear lead, producing the most powerful AI models. China can't match it in advanced chips and has no answer for the financial firepower of private American investors, who funded AI startups to the tune of $104 billion in the first half of 2025, and are gearing up for more. But it has a massive population of capable engineers, lower costs and a state-led development model that often moves faster than the U.S., all of which Beijing is working to harness to tip the contest in its direction. A new "whole of society" campaign looks to accelerate the construction of computing clusters in areas like Inner Mongolia, where vast solar and wind farms provide plentiful cheap energy, and connect hundreds of data centers to create a shared compute pool — some describe it as a "national cloud" — by 2028. China is also funneling hundreds of billions of dollars into its power grid to support AI training and adoption...

"Our lead is probably in the 'months but not years' realm," said Chris McGuire, who helped design U.S. export controls on AI chips while serving on the National Security Council under the Biden administration. Chinese AI models currently rank at or near the top in every task from coding to video generation, with the exception of search, according to Chatbot Arena, a popular crowdsourced ranking platform. China's manufacturing sector, meanwhile, is rocketing past the U.S. in bringing AI into the physical world through robotaxis, autonomous drones and humanoid robots. Given China's progress, McGuire said, the U.S. is "very lucky" to have its advantage in chips...

If AI surpasses human intelligence and acquires the ability to improve itself, it could confer unshakable scientific, economic and military superiority on the country that controls it. Short of that, AI's ability to automate tedious tasks and process vast amounts of data quickly promises to supercharge everything from cancer diagnoses to missile defense. With so much at stake, hacking and cyber espionage are likely to get worse, as AI gives hackers more powerful tools, while increasing incentives for state-backed groups to try to steal AI-related intellectual property. As distrust grows, Washington and Beijing will also find it hard, if not impossible, to cooperate in areas like preventing extremist groups from using AI in destructive ways, such as building bioweapons. "The costs of the AI Cold War are already high and will go much higher," said Paul Triolo, a former U.S. government analyst and current technology policy lead at business consulting firm DGA-Albright Stonebridge Group. "A U.S.-China AI arms race becomes a self-fulfilling prophecy, with neither side able to trust that the other would observe any restrictions on advanced AI capability development...."
The article includes an interesting observation from Helen Toner, director of strategy for Georgetown's Center for Security and Emerging Technology and a former OpenAI board member. Toner points out "We don't actually know" if boosting computing power with better chips will continue producing more-powerful AI models.

So "If performance plateaus," the Journal writes, "despite all the spending by OpenAI and others — a growing concern in Silicon Valley — China has a chance to compete."

BrianFagioli writes: Logitech has confirmed a cybersecurity breach after an intruder exploited a zero-day in a third-party software platform and copied internal data. The company says the incident did not affect its products, manufacturing or business operations, and it does not believe sensitive personal information like national ID numbers or credit card data were stored in the impacted system. The attacker still managed to pull limited information tied to employees, consumers, customers and suppliers, raising fair questions about how long the zero-day existed before being patched.

Logitech brought in outside cybersecurity firms, notified regulators and says the incident will not materially affect its financial results. The company expects its cybersecurity insurance policy to cover investigation costs and any potential legal or regulatory issues. Still, with zero-day attacks increasing across the tech world, even established hardware brands are being forced to acknowledge uncomfortable weaknesses in their internal systems.

Netflix is launching a new slate of TV-streamed party games that are all playable using your phone as the controller. The Verge reports: To start, Netflix is offering Boggle Party, Party Crasher: Fool Your Friends, Lego Party, Pictionary: Game Night, and Tetris Time Warp. A social deduction game based on the Knives Out series, Dead Man's Party: A Knives Out Game, is also part of this new slate but will launch at a later time. The streaming platform's approach to gaming has been unfocused, with the company bouncing between being a boutique development studio while also being a platform for premium and exclusive mobile gaming experiences. Offering party games on your TV seems like a better fit -- one that could allow Netflix to finally find its gaming footing.

LinkedIn is rolling out an AI-powered people search tool that lets users find connections by describing what they need instead of relying on names or titles. For example, you can enter a more descriptive search, such as "Northwestern alumni who work in entertaining marketing," or even pose a question, like "Who can help me understand the US work visa system." The Verge reports: LinkedIn senior director of product management Rohan Rajiv tells The Verge that the platform will rank results based on the connections you might have with someone, as well as their relevance to your search. [...] LinkedIn is rolling out AI-powered people search to Premium users in the US starting today, but the platform plans on bringing it to all users soon.

Reddit cofounder Alexis Ohanian said he had serious doubts a decade ago about sharing the platform's data with Sam Altman. Ohanian recounted on the "Brew Markets" podcast that between 2015 and 2016, Altman asked Reddit to let him "aggressively scrape" the site's content. Altman had recently helped Reddit raise $50 million in a Series B round and was launching OpenAI as a nonprofit.

Ohanian described Altman as "very smart" and "incredibly cunning" but questioned whether he was "the most philanthropically minded guy." The Reddit cofounder said he "felt in my bones" the company should refuse the request and debated internally about it against Steve Huffman. Ohanian said he "lost that debate." Reddit and OpenAI announced a formal licensing deal in 2024.

An anonymous reader shares a report: France has lifted its travel ban on Telegram founder Pavel Durov, who is under investigation over illegal content on his messaging app, judicial sources close to the case said Thursday. The entrepreneur, 41, was detained in Paris in 2024 and is under formal investigation by French authorities over the platform's alleged complicity in criminal activity. Durov, who was initially banned from leaving France, had his judicial control relaxed in July, allowing him to reside in the United Arab Emirates, where Telegram is based, for a maximum of two weeks at a time.

An anonymous reader quotes a report from CNBC: Anthropic announced plans Wednesday to spend $50 billion on a U.S. artificial intelligence infrastructure build-out, starting with custom data centers in Texas and New York. The facilities, which will be designed to support the company's rapid enterprise growth and its long-term research agenda, will be developed in partnership with Fluidstack.

Fluidstack is an AI cloud platform that supplies large-scale graphics processing unit, or GPU, clusters to clients like Meta, Midjourney and Mistral. Additional sites are expected to follow, with the first locations going live in 2026. The project is expected to create 800 permanent jobs and more than 2,000 construction roles. The investment positions Anthropic as a major domestic player in physical AI infrastructure at a moment when policymakers are increasingly focused on U.S.-based compute capacity and technological sovereignty. "We're getting closer to AI that can accelerate scientific discovery and help solve complex problems in ways that weren't possible before. Realizing that potential requires infrastructure that can support continued development at the frontier," said CEO Dario Amodei. "These sites will help us build more capable AI systems that can drive those breakthroughs, while creating American jobs."

Google has unveiled Private AI Compute, a cloud platform designed to deliver advanced AI capabilities while preserving user privacy. As The Verge notes, the feature is "virtually identical to Apple's Private Cloud Compute." From the report: Many Google products run AI features like translation, audio summaries, and chatbot assistants, on-device, meaning data doesn't leave your phone, Chromebook, or whatever it is you're using. This isn't sustainable, Google says, as advancing AI tools need more reasoning and computational power than devices can supply. The compromise is to ship more difficult AI requests to a cloud platform, called Private AI Compute, which it describes as a "secure, fortified space" offering the same degree of security you'd expect from on-device processing. Sensitive data is available "only to you and no one else, not even Google."

An anonymous reader quotes a report from Ars Technica: The Big G is finally making good on its promise to add its market-leading Nano Banana image-editing model to the app. The model powers a couple of features, and it's not just for Google's Android platform. Nano Banana edits are also coming to the iOS version of the app. [...] The Photos app already had conversational editing in the "Help Me Edit" feature, but it was running an older non-fruit model that produced inferior results. Nano Banana editing will produce AI slop, yes, but it's better slop.

Google says the updated Help Me Edit feature has access to your private face groups, so you can use names in your instructions. For example, you could type "Remove Riley's sunglasses," and Nano Banana will identify Riley in the photo (assuming you have a person of that name saved) and make the edit without further instructions. You can also ask for more fantastical edits in Help Me Edit, changing the style of the image from top to bottom. Google is very invested in getting people to use its AI tools, but less-savvy users might not be familiar enough with AI prompting to get the most out of Nano Banana. So Google Photos is also getting a collection of AI templates in a new "Create with AI" section. This menu will offer pre-formed prompts based on popular in-app edits. Some of the options you'll see include "put me in a high fashion photoshoot," "create a professional headshot," and "put me in a winter holiday card."

The app is also getting a new "Ask" button, which is not to be confused with "Ask Photos." The former is a new contextual button that appears when viewing a photo, and the latter is Google's controversial natural language search feature. [...] When looking at a photo, you can tap the Ask button to get information about the content of the photo or find related images. You can also describe edits you'd like to see in this interface, and Nano Banana will make them for you.

Meta is retiring Facebook's external Like and Share buttons for third-party websites on February 10, 2026, officially closing the book on a once-dominant traffic driver as usage declines and Facebook's role within Meta continues to shrink.Engadget reports: The blog post from Meta explains that site admins shouldn't have to take any additional steps as a result of the change, although they can choose to remove the plugins before the discontinue date. Any remaining plugins will "gracefully degrade," which sounds much more dramatic than what will actually happen, which is that they'll render as a 0x0 invisible element.