An anonymous reader quotes a report from TorrentFreak: The High Court in New Delhi, India, has granted another pirate site blocking order in favor of American movie industry giants, including Apple, Warner., Netflix, Disney and Crunchyroll. The injunction targets notorious pirate sites, requesting blockades at Indian ISPs. More crucially, however, globally operating domain registrars, including U.S. companies, are also compelled to take action. However, despite earlier cooperation, most don't seem eager to comply. [...] As reported by Verdictum a few days ago, the High Court in New Delhi issued a new blocking injunction on December 18, targeting more than 150 pirate site domains, including yflix.to, animesuge.bz, bs.to, and many others.

The complaint (PDF) is filed by Warner Bros., Apple, Crunchyroll, Disney, and Netflix, which are all connected to the MPA's anti-piracy arm, ACE. The referenced works include some of the most pirated titles, such as Stranger Things, Squid Game, and Silo. In addition to targeting Indian ISPs, the order also lists various domain name registries and related organizations as defendants. This includes American registrars such as Namecheap and GoDaddy, but also the government of the Kingdom of Tonga, which is linked to .to domains. By requiring domain name registrars to take action, the Indian court orders have a global impact.

In addition to suspending the domain names within three days days, the domain name registrars are given four weeks to disclose the relevant subscriber information connected to these domains. "[The registrars] shall lock and suspend Defendant Nos. 1 to 47 websites within 72 hours of being communicated with a copy of this Order and shall file all the Basic Subscriber Information, including the name, address, contact information, email addresses, bank details, IP logs, and any other relevant information [...] within four weeks of being communicated with a copy of this Order," the High Court wrote. While the "Dynamic+" injunction is designed to be a global kill switch, its effectiveness depends entirely on the cooperation of the domain name registrars. Since most of these are based outside of India, their compliance is not guaranteed.

Go, the ancient board game that China, Japan and South Korea all claim as part of their cultural heritage, is struggling to expand its global footprint because the three nations that dominate it cannot agree on something as basic as a common rulebook.

When Go was registered with the International Mind Sports Association alongside chess and bridge, organizers had to adopt the American Go Association's rules because the East Asian trio failed to reach consensus. In 2025, China's Ke Jie withdrew from a title match at a Seoul tournament after receiving repeated penalties for violating a rule that the South Korean Go association had introduced mid-tournament. China's Go association responded by barring foreign players, most of them South Korean, from its domestic competitions.

It also doesn't help that the game's commercial appeal is fading. Japan's Nihon Ki-in, the country's main Go association, has started exploring a potential sale of its Tokyo headquarters. Young people across the region are gravitating toward chess, shogi, and video games instead.

Longtime Slashdot reader Gilmoure shares a report from Nature: Scientists have produced the most detailed 3D map of almost all buildings in the world. The map, called GlobalBuildingAtlas, combines satellite imagery and machine learning to generate 3D models for 97% of buildings on Earth. The dataset, published in the open-access journal Earth System Science Data on December 1, covers 2.75 billion buildings, each mapped with footprints and heights at a spatial resolution of 3 meters by 3 meters. The 3D map opens new possibilities for disaster risk assessment, climate modeling and urban planning, according to study co-author Xiaoxiang Zhu, an Earth observation data scientist at the Technical University of Munich in Germany. "Imagine a video game with the world's buildings already mapped in basic spatial dimensions!" writes Gilmoure.

Pat Gelsinger, the former Intel CEO who was pushed out in late 2024 during a five-year turnaround effort, told the Financial Times that the "decay" he found when he returned to the company in 2021 was "deeper and harder than I'd realized." In the five years before his return, "not a single product was delivered on schedule," he said. "Basic disciplines" had been lost. "It's like, wow, we don't know how to engineer anymore!"

Gelsinger was also unsparing about the Biden administration's implementation of the 2022 Chips Act, legislation he spent more time lobbying for than any other CEO. "Two and a half years later [and] no money is dispensed? I thought it was hideous!" There's what Gelsinger carefully calls "a touch of irony" in how things played out.

Intel's board forced him out four years into a five-year plan, then picked successor Lip-Bu Tan -- who Gelsinger says is following the same broad strategy. Tan has kept Intel in the manufacturing game and delivered the 18A process node within the five years Gelsinger originally promised. Asked what went wrong, Gelsinger conceded he was "very focused on managing 'down'" and should have managed "up" more. He also would have pushed harder for more semiconductor expertise on the board, he said.

"Russia is automating the spread of false information to fool AI chatbots," reports the Washington Post. (When researchers checked 10 chatbots, a third of the responses repeated false pro-Russia messaging.)

The Post argues that this tactic offers "a playbook to other bad actors on how to game AI to push content meant to inflame, influence and obfuscate instead of inform," and calls it "a fundamental weakness of the AI industry." Chatbot answers depend on the data fed into them. A guiding principle is that the more the chatbots read, the more informed their answers will be, which is why the industry is ravenous for content. But mass quantities of well-aimed chaff can skew the answers on specific topics. For Russia, that is the war in Ukraine. But for a politician, it could be an opponent; for a commercial firm, it could be a competitor. "Most chatbots struggle with disinformation," said Giada Pistilli, principal ethicist at open-source AI platform Hugging Face. "They have basic safeguards against harmful content but can't reliably spot sophisticated propaganda, [and] the problem gets worse with search-augmented systems that prioritize recent information."

Early commercial attempts to manipulate chat results also are gathering steam, with some of the same digital marketers who once offered search engine optimization — or SEO — for higher Google rankings now trying to pump up mentions by AI chatbots through "generative engine optimization" — or GEO.
Our current situation "plays into the hands of those with the most means and the most to gain: for now, experts say, that is national governments with expertise in spreading propaganda." Russia and, to a lesser extent, China have been exploiting that advantage by flooding the zone with fables. But anyone could do the same, burning up far fewer resources than previous troll farm operations... In a twist that befuddled researchers for a year, almost no human beings visit the sites, which are hard to browse or search. Instead, their content is aimed at crawlers, the software programs that scour the web and bring back content for search engines and large language models. While those AI ventures are trained on a variety of datasets, an increasing number are offering chatbots that search the current web. Those are more likely to pick up something false if it is recent, and even more so if hundreds of pages on the web are saying much the same thing...

The gambit is even more effective because the Russian operation managed to get links to the Pravda network stories edited into Wikipedia pages and public Facebook group postings, probably with the help of human contractors. Many AI companies give special weight to Facebook and especially Wikipedia as accurate sources. (Wikipedia said this month that its bandwidth costs have soared 50 percent in just over a year, mostly because of AI crawlers....) Last month, other researchers set out to see whether the gambit was working. Finnish company Check First scoured Wikipedia and turned up nearly 2,000 hyperlinks on pages in 44 languages that pointed to 162 Pravda websites. It also found that some false information promoted by Pravda showed up in chatbot answers.
"They do even better in such places as China," the article points out, "where traditional media is more tightly controlled and there are fewer sources for the bots." (The nonprofit American Sunlight Project calls the process "LLM grooming".)

The article quotes a top Kremlin propagandist as bragging in January that "we can actually change worldwide AI."

You should still learn to code, says GitHub's CEO. And you should start as soon as possible. From a report: "I strongly believe that every kid, every child, should learn coding," Thomas Dohmke said in a recent podcast interview with EO. "We should actually teach them coding in school, in the same way that we teach them physics and geography and literacy and math and what-not." Coding, he added, is one such fundamental skill -- and the only reason it's not part of the curriculum is because it took "us too long to actually realize that."

Dohmke, who's been a programmer since the 90s, said he's never seen "anything more exciting" than the current moment in engineering -- the advent of AI, he believes, has made the field that much easier to break into, and is poised to make software more ubiquitous than ever. "It's so much easier to get into software development. You can just write a prompt into Copilot or ChatGPT or similar tools, and it will likely write you a basic webpage, or a small application, a game in Python," Dohmke said. "And so, AI makes software development so much more accessible for anyone who wants to learn coding."

AI, Dohmke said, helps to "realize the dream" of bringing an idea to life, meaning that fewer projects will end up dead in the water, and smaller teams of developers will be enabled to tackle larger-scale projects. Dohmke said he believes it makes the overall process of creation more efficient. "You see some of the early signs of that, where very small startups -- sometimes five developers and some of them actually only one developer -- believe they can become million, if not billion dollar businesses by leveraging all the AI agents that are available to them," he added.

Red Hat product manager Pau Garcia Quiles (also long-time Slashdot reader paugq) spotted an interesting project on GitHub: Free95, a new lean, Windows-compatible operating system is available from GitHub. In its current form, it can run very basic Win32 GUI and console applications, but its developer promises to keep working on it to reach DirectX and even game compatibility.
"Free95 is your friendly Windows Environment with an added trust of the open source community," according to its README file. (It's licensed under the GPL-3.0 license.) And in answer to the question "Why?" it responds "To remove Windows's bloat, and security problems. Being controlled by a large corporation is unsettling."

"It's still in-development of course," the developer post recently on Reddit, "and I'll appreciate anyone who'd like to contribute." In one comment they claim Free95 is "much more lightweight, simpler and faster than ReactOS." And looking to the future, they add "I might do DirectX stuff and make some games run. Or, what about DOOM?"

An anonymous reader quotes a report from Ars Technica: For a while now, many AI researchers have been working to integrate a so-called "world model" into their systems. Ideally, these models could infer a simulated understanding of how in-game objects and characters should behave based on video footage alone, then create fully interactive video that instantly simulates new playable worlds based on that understanding. Microsoft Research's new World and Human Action Model (WHAM), revealed today in a paper published in the journal Nature, shows how quickly those models have advanced in a short time. But it also shows how much further we have to go before the dream of AI crafting complete, playable gameplay footage from just some basic prompts and sample video footage becomes a reality.

Much like Google's Genie model before it, WHAM starts by training on "ground truth" gameplay video and input data provided by actual players. In this case, that data comes from Bleeding Edge, a four-on-four online brawler released in 2020 by Microsoft subsidiary Ninja Theory. By collecting actual player footage since launch (as allowed under the game's user agreement), Microsoft gathered the equivalent of seven player-years' worth of gameplay video paired with real player inputs. Early in that training process, Microsoft Research's Katja Hoffman said the model would get easily confused, generating inconsistent clips that would "deteriorate [into] these blocks of color." After 1 million training updates, though, the WHAM model started showing basic understanding of complex gameplay interactions, such as a power cell item exploding after three hits from the player or the movements of a specific character's flight abilities. The results continued to improve as the researchers threw more computing resources and larger models at the problem, according to the Nature paper.

To see just how well the WHAM model generated new gameplay sequences, Microsoft tested the model by giving it up to one second's worth of real gameplay footage and asking it to generate what subsequent frames would look like based on new simulated inputs. To test the model's consistency, Microsoft used actual human input strings to generate up to two minutes of new AI-generated footage, which was then compared to actual gameplay results using the Frechet Video Distance metric. Microsoft boasts that WHAM's outputs can stay broadly consistent for up to two minutes without falling apart, with simulated footage lining up well with actual footage even as items and environments come in and out of view. That's an improvement over even the "long horizon memory" of Google's Genie 2 model, which topped out at a minute of consistent footage. Microsoft also tested WHAM's ability to respond to a diverse set of randomized inputs not found in its training data. These tests showed broadly appropriate responses to many different input sequences based on human annotations of the resulting footage, even as the best models fell a bit short of the "human-to-human baseline."

The most interesting result of Microsoft's WHAM tests, though, might be in the persistence of in-game objects. Microsoft provided examples of developers inserting images of new in-game objects or characters into pre-existing gameplay footage. The WHAM model could then incorporate that new image into its subsequent generated frames, with appropriate responses to player input or camera movements. With just five edited frames, the new object "persisted" appropriately in subsequent frames anywhere from 85 to 98 percent of the time, according to the Nature paper.

Major video game studios' pursuit of ultra-realistic graphics has led to diminishing returns and industry-wide layoffs, as younger players gravitate toward simpler, more social games, New York Times is reporting.

Sony's Insomniac Games spent $300 million developing Marvel's Spider-Man 2, triple the budget of its predecessor, before laying off staff amid Sony's 900-person reduction in February. The industry has cut more than 20,000 jobs in the past two years. Meanwhile, games with basic graphics like Minecraft, Roblox and Fortnite continue to dominate, particularly among younger players.

Genshin Impact, a mobile game by Hoyoverse, generates approximately $2 billion annually through frequent content updates rather than cutting-edge visuals. The shift has forced studios to reevaluate their strategies. Warner Bros. Discovery lost $200 million on Suicide Squad: Kill the Justice League, while Sony shuttered its Concord studio shortly after launch. Some industry figures see AI as a potential solution to reduce graphics development costs, the report adds, particularly in sports games.

From an opinion piece on GamesIndustry.biz about the recently launched PS5 Pro that went on sale this week: What I'd argue is actually more interesting about PS5 Pro in a wider perspective isn't what Sony has done to the chips in the system -- it's what they've chosen not to include, and what it tells us about the decision-making process that's likely occurring for the company's future hardware. PS5 Pro doesn't have a disc drive. Anyone who wants to play disc-based games on the system will need to buy one of the add-on drives Sony started selling when the PS5 Slim model was released, adding further to the cost of the already very expensive device.

To add insult to injury, Sony doesn't seem to have made any effort whatsoever to ensure that those drives are actually well-stocked for the launch of the Pro. I can only speak directly to the situation in Japan, where they've been out of stock at most major retailers for months and even second-hand units are being sold at three to four times SRP by scalpers. But asking around suggests that the situation isn't much better in other regions. That's a very rough welcome to PS5 Pro ownership for anyone upgrading who has a collection of games on disc.

It's possible, of course, that Sony excluded the drive simply because its cost would push the Pro's price tag even higher. However, the incongruity of Sony's "Pro" console lacking the basic ability to play the games Sony sells at retailers all around the world is striking, and it's difficult to see the decision to accept that incongruity -- and the inconvenience it would inevitably cause for customers -- as anything other than strategic.

Digital sales make up a bigger and bigger portion of the industry's revenues every year, but physical game sales are still a very big deal -- and physical games are products that fall outside the control of publishers and platform holders in a way that they have found increasingly irritating in recent years. People who buy physical games can sell them second-hand or lend them to their friends, retailers with physical games in stock can discount them or include them in bundles as they see fit.

In a rather critical analysis of the 2024 Economics Nobel, commentator Noah Smith has questioned the prize's shift back to "big-think" theories. He argues that Acemoglu, Johnson, and Robinson's (the winner of the 2024 Economics Nobel) influential work on institutions and development, while intriguing, lacks robust empirical validation. From his blog: The science prizes rely very heavily on external validity to determine who gets the prize -- your theory or your invention has to work, basically. If it doesn't, you can be the biggest genius in the world, but you'll never get a Nobel. The physicist Ed Witten won a Fields Medal, which is even harder to get than a Nobel, for the math he invented for string theory. But he'll almost certainly never get a Physics Nobel, because string theory can't be empirically tested.

The Econ Nobel is different. Traditionally, it's given to economists whose ideas are most influential within the economics profession. If a whole bunch of other economists do research that follows up on your research, or which uses theoretical or empirical techniques you pioneered, you get an Econ Nobel. Your theory doesn't have to be validated, your specific empirical findings can already have been overturned by the time the prize is awarded, but if you were influential, you get the prize.

You could argue that this is appropriate for what Thomas Kuhn would call a "pre-paradigmatic" science -- a field that's still looking for a set of basic concepts and tools. But it's been 55 years since they started giving the prize, and that seems like an awfully long time for a field to still be tooling up. Meanwhile, making "influence within the economics profession" the criterion for successful research seems a little too much like a popularity contest. It's how you end up with prizes like the one in 2004, which was given to some macroeconomic theorists whose theory said that recessions are caused by technological slowdowns and that mass unemployment is a voluntary vacation.

In recent years, that looked like it might be changing. Often, the prize was given to empirical economists associated with the so-called "credibility revolution" -- basically, quasi-experiments. Those cases include Goldin in 2023, Card/Angrist/Imbens in 2021, and Banerjee/Duflo/Kremer in 2019. And when it was given to theorists, they tended to be game theorists whose theories are very predictive of real-world outcomes -- Milgrom/Wilson in 2020, Hart/Holmstrom in 2016, Tirole in 2014, and Roth/Shapley in 2012. Even when the prize was given to macro -- a field where validity is much harder to establish -- it was given to economists whose theories have seen immediate application to pressing problems of the day, such as Bernanke/Diamond/Dybvig in 2022 and Nordhaus in 2018. In other words, the recent Nobels have made it seem like economics might be becoming more like a natural science, where practical applications and external validity are the ultimate arbiter of the value of research, rather than cultural influence within the economics profession. But this year's prize seems like a step away from that, and back toward the sort of big-think that used to be more popular in the prize's early years.

Last month TIOBE announced its estimate that the four most popular programming languages were:

1. Python
2. C
3. C++
4. Java

But this month C++ "overtook" C for the first time, TIOBE announced, becoming (according to the same methodology) the #2 most popular programming language, with C dropping to #3. " C++ has never been that high in the TIOBE index," says TIOBE Software CEO Paul Jansen in the announcement, "whereas C has never been that low."

1. Python
2. C++
3. C
4. Java

C++ started a new life as of 2011 with its consistent 3 yearly updates. Although most compilers and most engineers can't take up with this pace, it is considered a success to see the language evolve.

The main strengths of C++ are its performance and scalability. Its downside is its many ways to get things done, i.e. its rich idiom of features, which is caused by its long history and aim for backward compatibility.

C++ is heavily used in embedded systems, game development and financial trading software, just to name a few domains.
There's different rankings from the rival PYPL index of programming language popularity. It lumps C and C++ together to award them a collective ranking (#5). But unlike TIOBE, it shows Java [and JavaScript and C#] all being more popular (with Python still the #1 most popular language).

Of course, statistical anomalies could be also skewing the results. Visual Basic also lost two ranks in popularity in the last month, according to TIOBE, dropping from the #7 position to the #9 position (now falling just behind Go and SQL). This becomes the first time that Go has risen as high as #7, according to TIOBE's announcement — with Rust also reaching an all-time high of #17...

Version 9.0 of Wine, the free and open-source compatibility layer that lets you run Windows apps on Unix-like operating systems, has been released. "Highlights of Wine 9.0 include an experimental Wayland graphics driver with features like basic window management, support for multiple monitors, high-DPI scaling, relative motion events, as well as Vulkan support," reports 9to5Linux. From the report: The Vulkan driver has been updated to support Vulkan 1.3.272 and later, the PostScript driver has been reimplemented to work from Windows-format spool files and avoid any direct calls from the Unix side, and there's now a dark theme option on WinRT theming that can be enabled in WineCfg. Wine 9.0 also adds support for many more instructions to Direct3D 10 effects, implements the Windows Media Video (WMV) decoder DirectX Media Object (DMO), implements the DirectShow Audio Capture and DirectShow MPEG-1 Video Decoder filters, and adds support for video and system streams, as well as audio streams to the DirectShow MPEG-1 Stream Splitter filter.

Desktop integration has been improved in this release to allow users to close the desktop window in full-screen desktop mode by using the "Exit desktop" entry in the Start menu, as well as support for export URL/URI protocol associations as URL handlers to the Linux desktop. Audio support has been enhanced in Wine 9.0 with the implementation of several DirectMusic modules, DLS1 and DLS2 sound font loading, support for the SF2 format for compatibility with Linux standard MIDI sound fonts, Doppler shift support in DirectSound, Indeo IV50 Video for Windows decoder, and MIDI playback in dmsynth.

Among other noteworthy changes, Wine 9.0 brings loader support for ARM64X and ARM64EC modules, along with the ability to run existing Windows binaries on ARM64 systems and initial support for building Wine for the ARM64EC architecture. There's also a new 32-bit x86 emulation interface, a new WoW64 mode that supports running of 32-bit apps on recent macOS versions that don't support 32-bit Unix processes, support for DirectInput action maps to improve compatibility with many old video games that map controller inputs to in-game actions, as well as Windows 10 as the default Windows version for new prefixes. Last but not least, the kernel has been updated to support address space layout randomization (ASLR) for modern PE binaries, better memory allocation performance through the Low Fragmentation Heap (LFH) implementation, and support memory placeholders in the virtual memory allocator to allow apps to reserve virtual space. Wine 9.0 also adds support for smart cards, adds support for Diffie-Hellman keys in BCrypt, implements the Negotiate security package, adds support for network interface change notifications, and fixes many bugs. For a full list of changes, check out the release notes. You can download Wine 9.0 from WineHQ.

"10 years later, the demise of Google Reader still stings," writes PC Magazine. But "Time marches on and corporate priorities shift. Here are the products and services that took a final bow in 2023..."

Some of the highlights? 'Clubhouse' Clones
In the early days of the pandemic, when Zoom happy hours and sourdough starters proliferated, Clubhouse burst onto the scene with an app that facilitated audio-only chats between groups large and small. Tech giants quickly churned out their own Clubhouse clones, but these party-line throwbacks were not long for this world. Facebook was the first to go, ditching its Live Audio Rooms in December 2022, but 2023 also saw the end of Reddit Talk, Spotify Live, and Amazon's live radio DJ Amp app. [X Spaces is still around]

Amazon Smile
Launched in 2013, AmazonSmile saw Amazon donate 0.5% of the price of eligible purchases made through smile.amazon.com to charity, with consumers able to choose from over a million charitable organizations to support. On Feb. 20, however, the program shut down because it "has not grown to create the impact that we had originally hoped," Amazon said at the time.

NFTs on Facebook and Instagram
Remember non-fungible tokens (NFTs)? Somehow, crypto bros convinced people to spend big bucks on what are essentially JPEGs. (Don't try to convince me otherwise.) Meta got in on the action in 2022, allowing Instagram users to create NFTs and Facebook users to share them. It didn't exactly set either social network on fire and Meta said in March it would be "winding down digital collectibles."

Cortana on Windows
In June, AI claimed its latest victim by coming after Microsoft's Cortana. The voice assistant never really made a splash compared to Amazon's Alexa or Apple's Siri, and with the launch of Bing Chat (now Copilot), Microsoft removed Cortana as a built-in app on Windows.
Also on the list are Blizzard's Overwatch League, third-party Reddit clients, and Venmo as a payment option on Amazon (effective this January 10).

Looking further into the future, Gmail's Basic HTML View disappears in 2024, while Wordpad will eventually be removed in an unspecified future release of Windows.

An anonymous reader quotes a report from Ars Technica: On Wednesday, a collaborative whiteboard app maker called "tldraw" made waves online by releasing a prototype of a feature called "Make it Real" that lets users draw an image of software and bring it to life using AI. The feature uses OpenAI's GPT-4V API to visually interpret a vector drawing into functioning Tailwind CSS and JavaScript web code that can replicate user interfaces or even create simple implementations of games like Breakout. "I think I need to go lie down," posted designer Kevin Cannon at the start of a viral X thread that featured the creation of functioning sliders that rotate objects on screen, an interface for changing object colors, and a working game of tic-tac-toe. Soon, others followed with demonstrations of drawing a clone of Breakout, creating a working dial clock that ticks, drawing the snake game, making a Pong game, interpreting a visual state chart, and much more.

Tldraw, developed by Steve Ruiz in London, is an open source collaborative whiteboard tool. It offers a basic infinite canvas for drawing, text, and media without requiring a login. Launched in 2021, the project received $2.7 million in seed funding and is supported by GitHub sponsors. When The GPT-4V API launched recently, Ruiz integrated a design prototype called "draw-a-ui" created by Sawyer Hood to bring the AI-powered functionality into tldraw. GPT-4V is a version of OpenAI's large language model that can interpret visual images and use them as prompts. As AI expert Simon Willison explains on X, Make it Real works by "generating a base64 encoded PNG of the drawn components, then passing that to GPT-4 Vision" with a system prompt and instructions to turn the image into a file using Tailwind. You can experiment with a live demo of Make It Real online. However, running it requires providing an API key from OpenAI, which is a security risk.

"In an open-air warehouse in California's Central Valley, 40-foot-tall racks hold hundreds of trays filled with a white powder that turns crusty as it absorbs carbon dioxide from the sky," reports the New York Times.

"The start-up that built the facility, Heirloom Carbon Technologies, calls it the first commercial plant in the United States to use direct air capture, which involves vacuuming greenhouse gases from the atmosphere." Another plant is operating in Iceland, and some scientists say the technique could be crucial for fighting climate change. Heirloom will take the carbon dioxide it pulls from the air and have the gas sealed permanently in concrete, where it can't heat the planet. To earn revenue, the company is selling carbon removal credits to companies paying a premium to offset their own emissions. Microsoft has already signed a deal with Heirloom to remove 315,000 tons of carbon dioxide from the atmosphere.

The company's first facility in Tracy, California, which opens Thursday, is fairly small. The plant can absorb a maximum of 1,000 tons of carbon dioxide per year, equal to the exhaust from about 200 cars. But Heirloom hopes to expand quickly. "We want to get to millions of tons per year," said Shashank Samala, the company's chief executive. "That means copying and pasting this basic design over and over."

Heirloom's technology hinges on a simple bit of chemistry: Limestone, one of the most abundant rocks on the planet, forms when calcium oxide binds with carbon dioxide. In nature, that process takes years. Heirloom speeds it up. At the California plant, workers heat limestone to 1,650 degrees Fahrenheit in a kiln powered by renewable electricity. Carbon dioxide is released from the limestone and pumped into a storage tank. The leftover calcium oxide, which looks like flour, is then doused with water and spread onto large trays, which are carried by robots onto tower-high racks and exposed to open air. Over three days, the white powder absorbs carbon dioxide and turns into limestone again. Then it's back to the kiln and the cycle repeats. "That's the beauty of this, it's just rocks on trays," Mr. Samala, who co-founded Heirloom in 2020, said.

The hard part, he added, was years of tweaking variables like particle size, tray spacing and moisture to speed up absorption... In future projects, Heirloom also plans to pump carbon dioxide into underground storage wells, burying it.
The company received funding from Microsoft's Climate Innovation Fund and Bill Gates' Breakthrough Energy Ventures, according to Bloomberg, which adds that Heirloom's technology will later "be deployed at a major hub in Louisiana the government expects will remove 1 million tons of CO2 a year by the end of the decade."

The New York Times notes there was also federal funding, something that's been fueling the ambitions of hundreds of carbon-capture startups. "The science is clear," says America's Energy Secretary. "Cutting back carbon emissions through renewable energy alone won't stop the damage from climate change. Direct air capture technology is a game-changing tool that gives us a shot at removing the carbon pollution that has been building in the atmosphere since the Industrial Revolution."

An anonymous reader shares a column: You can still do a clean install of Windows, and it's arguably easier than ever, with official Microsoft-sanctioned install media easily accessible and Windows Update capable of grabbing most of the drivers that most computers need for basic functionality. The problem is that a "clean install" doesn't feel as clean as it used to, and unfortunately for us, it's an inside job -- it's Microsoft, not third parties, that is primarily responsible for the pile of unwanted software and services you need to decline or clear away every time you do a new Windows install.

The "out-of-box experience" (OOBE, in Microsoft parlance) for Windows 7 walked users through the process of creating a local user account, naming their computer, entering a product key, creating a "Homegroup" (a since-discontinued local file- and media-sharing mechanism), and determining how Windows Update worked. Once Windows booted to the desktop, you'd find apps like Internet Explorer and the typical in-box Windows apps (Notepad, Paint, Calculator, Media Player, Wordpad, and a few other things) installed. Keeping that baseline in mind, here's everything that happens during the OOBE stage in a clean install of Windows 11 22H2 (either Home or Pro) if you don't have active Microsoft 365/OneDrive/Game Pass subscriptions tied to your Microsoft account:

(Mostly) mandatory Microsoft account sign-in.
Setup screen asking you about data collection and telemetry settings.
A (skippable) screen asking you to "customize your experience."
A prompt to pair your phone with your PC.
A Microsoft 365 trial offer.
A 100GB OneDrive offer.
A $1 introductory PC Game Pass offer.

This process is annoying enough the first time, but at some point down the line, you'll also be offered what Microsoft calls the "second chance out-of-box experience," or SCOOBE (not a joke), which will try to get you to do all of this stuff again if you skipped some of it the first time. This also doesn't account for the numerous one-off post-install notification messages you'll see on the desktop for OneDrive and Microsoft 365. (And it's not just new installs; I have seen these notifications appear on systems that have been running for months even if they're not signed in to a Microsoft account, so no one is safe). And the Windows desktop, taskbar, and Start menu are no longer the pristine places they once were. Due to the Microsoft Store, you'll find several third-party apps taking up a ton of space in your Start menu by default, even if they aren't technically downloaded and installed until you run them for the first time. Spotify, Disney+, Prime Video, Netflix, and Facebook Messenger all need to be removed if you don't want them (this list can vary a bit over time).

An anonymous reader quotes a report from Ars Technica: Anyone who has taken a basic computer science class has undoubtedly spent time devising a sorting algorithm -- code that will take an unordered list of items and put them in ascending or descending order. It's an interesting challenge because there are so many ways of doing it and because people have spent a lot of time figuring out how to do this sorting as efficiently as possible. Sorting is so basic that algorithms are built into most standard libraries for programming languages. And, in the case of the C++ library used with the LLVM compiler, the code hasn't been touched in over a decade.

But Google's DeepMind AI group has now developed a reinforcement learning tool that can develop extremely optimized algorithms without first being trained on human code examples. The trick was to set it up to treat programming as a game. [...] The AlphaDev system developed x86 assembly algorithms that treated the latency of the code as a score and tried to minimize that score while ensuring that the code ran to completion without errors. Through reinforcement learning, AlphaDev gradually develops the ability to write tight, highly efficient code. [...]

Since AlphaDev did produce more efficient code, the team wanted to get these incorporated back into the LLVM standard C++ library. The problem here is that the code was in assembly rather than C++. So, they had to work backward and figure out the C++ code that would produce the same assembly. Once that was done, the code was incorporated into the LLVM toolchain -- the first time some of the code had been modified in over a decade. As a result, the researchers estimate that AlphaDev's code is now executed trillions of times a day. The research has been published in the journal Nature.

Roblox is launching its first set of generative AI game creation tools: Code Assist and Material Generator. Engadget reports: Although neither tool is anywhere close to generating a playable Roblox experience from a text description, Head of Roblox Studio Stef Corazza told an audience at GDC 2023 that they can "help automate basic coding tasks so you can focus on creative work." For now, that means being able to generate useful code snippets and object textures based on short prompts. Roblox's announcement for the tools offers a few examples, generating realistic textures for a "bright red rock canyon" and "stained glass," or producing several lines of functional code that will that make certain objects change color and self-destruct after a player interacts with them.

Code Assist looks promising, but Roblox is careful to state it's imperfect, and may generate "incorrect" or "misleading" information. "It is still up to you to review, test, and determine if the code suggestion is contextually appropriate." Even so, Roblox's Corazza seems confident that this is the first step towards making every user on the platform a creator, suggesting it may only be a few years before these tools can generate fully playable, interactive 3D scenes from a simple prompt.

According to The Verge, Microsoft has been secretly testing its Sydney chatbot for several years after making a big bet on bots in 2016. From the report: Sydney is a codename for a chatbot that has been responding to some Bing users since late 2020. The user experience was very similar to what launched publicly earlier this month, with a blue Cortana-like orb appearing in a chatbot interface on Bing. "Sydney is an old codename for a chat feature based on earlier models that we began testing in India in late 2020," says Caitlin Roulston, director of communications at Microsoft, in a statement to The Verge. "The insights we gathered as part of that have helped to inform our work with the new Bing preview. We continue to tune our techniques and are working on more advanced models to incorporate the learnings and feedback so that we can deliver the best user experience possible."

"This is an experimental AI-powered Chat on Bing.com," read a disclaimer inside the 2021 interface that was added before an early version of Sydney would start replying to users. Some Bing users in India and China spotted the Sydney bot in the first half of 2021 before others noticed it would identify itself as Sydney in late 2021. All of this was years after Microsoft started testing basic chatbots in Bing in 2017. The initial Bing bots used AI techniques that Microsoft had been using in Office and Bing for years and machine reading comprehension that isn't as powerful as what exists in OpenAI's GPT models today. These bots were created in 2017 in a broad Microsoft effort to move its Bing search engine to a more conversational model.

Microsoft made several improvements to its Bing bots between 2017 and 2021, including moving away from individual bots for websites and toward the idea of a single AI-powered bot, Sydney, that would answer general queries on Bing. Sources familiar with Microsoft's early Bing chatbot work tell The Verge that the initial iterations of Sydney had far less personality until late last year. OpenAI shared its next-generation GPT model with Microsoft last summer, described by Jordi Ribas, Microsoft's head of search and AI, as "game-changing." While Microsoft had been working toward its dream of conversational search for more than six years, sources say this new large language model was the breakthrough the company needed to bring all of its its Sydney learnings to the masses. [...] Microsoft hasn't yet detailed the full history of Sydney, but Ribas did acknowledge its new Bing AI is "the culmination of many years of work by the Bing team" that involves "other innovations" that the Bing team will detail in future blog posts.