Four economists across Central European University, Bielefeld University and the Kiel Institute have built a general equilibrium model of the open-source software ecosystem and concluded that vibe coding -- the increasingly common practice of letting AI agents select, assemble and modify packages on a developer's behalf -- erodes the very funding mechanism that keeps open-source projects alive.

The core problem is a decoupling of usage from engagement. Tailwind CSS's npm downloads have climbed steadily, but its creator says documentation traffic is down about 40% since early 2023 and revenue has dropped close to 80%. Stack Overflow activity fell roughly 25% within six months of ChatGPT's launch. Open-source maintainers monetize through documentation visits, bug reports, and community interaction. AI agents skip all of that.

The model finds that feedback loops once responsible for open source's explosive growth now run in reverse. Fewer maintainers can justify sharing code, variety shrinks, and average quality falls -- even as total usage rises. One proposed fix is a "Spotify for open source" model where AI platforms redistribute subscription revenue to maintainers based on package usage. Vibe-coded users need to contribute at least 84% of what direct users generate, or roughly 84% of all revenue must come from sources independent of how users access the software.

Adobe has emailed users of Adobe Animate to let them know the popular animation and game development program will be discontinued on March 1, an abrupt decision that has angered animators and game developers who say the tool remains an industry standard in television and game production.

Animate, the successor to the once-popular Flash, is widely used for graphic creation, animation and building games in HTML5. The company has not offered a reason for the shutdown. On BlueSky, artist and animator Julia Glassman wrote that many television productions, games, and animated media still rely on Animate and Flash pipelines and cannot simply pivot to entirely new software.

"Most Go developers are now using AI-powered development tools when seeking information (e.g., learning how to use a module) or toiling (e.g., writing repetitive blocks of similar code)." That's one of the conclusions Google's Go team drew from September's big survey of 5,379 Go developers.

But the survey also found that among Go developers using AI-powered tools, "their satisfaction with these tools is middling due, in part, to quality concerns." Our survey suggests bifurcated adoption — while a majority of respondents (53%) said they use such tools daily, there is also a large group (29%) who do not use these at all, or only used them a few times during the past month. We expected this to negatively correlate with age or development experience, but were unable to find strong evidence supporting this theory except for very new developers: respondents with less than one year of professional development experience (not specific to Go) did report more AI use than every other cohort, but this group only represented 2% of survey respondents. At this time, agentic use of AI-powered tools appears nascent among Go developers, with only 17% of respondents saying this is their primary way of using such tools, though a larger group (40%) are occasionally trying agentic modes of operation...

We also asked about overall satisfaction with AI-powered development tools. A majority (55%) reported being satisfied, but this was heavily weighted towards the "Somewhat satisfied" category (42%) vs. the "Very satisfied" group (13%)... [D]eveloper sentiment towards them remains much softer than towards more established tooling (among Go developers, at least). What is driving this lower rate of satisfaction? In a word: quality. We asked respondents to tell us something good they've accomplished with these tools, as well as something that didn't work out well. A majority said that creating non-functional code was their primary problem with AI developer tools (53%), with 30% lamenting that even working code was of poor quality.

The most frequently cited benefits, conversely, were generating unit tests, writing boilerplate code, enhanced autocompletion, refactoring, and documentation generation. These appear to be cases where code quality is perceived as less critical, tipping the balance in favor of letting AI take the first pass at a task. That said, respondents also told us the AI-generated code in these successful cases still required careful review (and often, corrections), as it can be buggy, insecure, or lack context... [One developer said reviewing AI-generated code was so mentally taxing that it "kills the productivity potential".]

Of all the tasks we asked about, "Writing code" was the most bifurcated, with 66% of respondents already or hoping to soon use AI for this, while 1/4 of respondents didn't want AI involved at all. Open-ended responses suggest developers primarily use this for toilsome, repetitive code, and continue to have concerns about the quality of AI-generated code.
Most respondents also said they "are not currently building AI-powered features into the Go software they work on (78%)," the surveyors report, "with 2/3 reporting that their software does not use AI functionality at all (66%)." This appears to be a decrease in production-related AI usage year-over-year; in 2024, 59% of respondents were not involved in AI feature work, while 39% indicated some level of involvement. That marks a shift of 14 points away from building AI-powered systems among survey respondents, and may reflect some natural pullback from the early hype around AI-powered applications: it's plausible that lots of folks tried to see what they could do with this technology during its initial rollout, with some proportion deciding against further exploration (at least at this time).

Among respondents who are building AI- or LLM-powered functionality, the most common use case was to create summaries of existing content (45%). Overall, however, there was little difference between most uses, with between 28% — 33% of respondents adding AI functionality to support classification, generation, solution identification, chatbots, and software development.

Long-time Slashdot reader destinyland writes: Just months after his 20th birthday, Bill Gates had already angered the programmer community," remembers this 50th-anniversary commemoration of Gates' Open Letter to Hobbyists. "As the first home computers began appearing in the 1970s, the world faced a question: Would its software be free?"

Gates railed in 1976 that "Most of you steal your software." Gates had coded the BASIC interpreter for Altair's first home computer with Paul Allen and Monte Davidoff — only to see it pirated by Steve Wozniak's friends at the Homebrew Computing Club. Expecting royalties, a none-too-happy Gates issued his letter in the club's newsletter (as well as Altair's own publication), complaining "I would appreciate letters from any one who wants to pay up."

But freedom-loving coders had other ideas. When Steve Wozniak and Steve Jobs released their Apple 1 home computer that summer, they stressed that "our philosophy is to provide software for our machines free or at minimal cost..." And early open-source hackers began writing their own free Tiny Basic interpreters to create a free alternative to the Gates/Micro-Soft code. This led to the first occurrence of the phrase "Copyleft" in October of 1976.

Open Source definition author Bruce Perens shares his thoughts today. "When I left Pixar in 2000, I stopped in Steve Job's office — which for some reason was right across the hall from mine... " Perens remembered. "I asked Steve: 'You still don't believe in this Linux stuff, do you...?'" And Perens remembers how that movement finally won over Steve Jobs and carried the day. "Three years later, Steve stood onstage in front of a slide that said 'Open Source: We Think It's Great!' as he introduced the Safari browser, which at that time was based on the browser engine developed by the KDE Open Source project!"

Several security experts have "questioned the lack of technical detail" in that lawsuit alleging WhatsApp has no end-to-end encryption, reports the Washington Post: "It's pretty long on accusations and thin on any sort of evidence," Matthew Green, a cryptography professor at Johns Hopkins University, said over Signal. "WhatsApp has been very consistent about using end-to-end encryption. This lawsuit seems to be a nothingburger." Nicholas Weaver, a security researcher at the International Computer Science Institute, criticized the lawsuit in a post on Bluesky for lacking detail needed to back up its claims. "They don't even do a citation to the actual whistleblowers," he wrote, calling the suit "ludicrous."
And Meta has done more than just deny the allegations: On Wednesday, WhatsApp sent a letter to [law firm] Quinn Emanuel threatening to seek sanctions against the firm's lawyers in court if they do not withdraw the suit, according to a copy reviewed by The Washington Post. "We're pursuing sanctions against Quinn Emanuel for filing a meritless lawsuit that was designed purely to grab headlines," Woog said by WhatsApp message. Woog also suggested the suit against WhatsApp was related to Quinn Emanuel's work on a separate case, between the social network giant and the spyware company NSO Group. The surveillance vendor is appealing a $167 million judgment entered against it in federal court last May, after a jury found that NSO's Pegasus tool exploited a weakness in the WhatsApp app to take over control of the phones of more than 1,000 users. An attorney from Quinn Emanuel joined NSO's legal team on that case on Jan. 22, according to legal filings, and different attorneys from that firm filed the case against WhatsApp on Jan. 23. "We believe a lawsuit like this is an attempt to launder false claims and divert attention from their dangerous spyware," Woog said.
"It's very suspicious timing that this is happening as that appeal is happening," Maria Villegas Bravo, counsel at the Electronic Privacy Information Center, told the site Decrypt, "as NSO Group is trying to lobby to get delisted from sanctions in the U.S. government."

EPIC's counsel also told the site that the complaint appears light on factual detail about WhatsApp's software: "I'm not seeing any factual allegations or any information about the actual software itself," Villegas Bravo said. "I have a lot of questions that I would want answered before I would want this lawsuit to proceed.... I don't think there's any merit in this lawsuit," Villegas Bravo said.

Meta has forcefully rejected the allegations. In a statement shared with Decrypt, a company spokesperson called the claims "categorically false and absurd... WhatsApp has been end-to-end encrypted using the Signal protocol for a decade," the spokesperson said. "This lawsuit is a frivolous work of fiction, and we will pursue sanctions against plaintiffs' counsel."

After more than 30 years of development, GNU gettext finally "crossed the symbolic 'v1.0' milestone," according to Phoronix's Michael Larabel. "GNU gettext 1.0 brings PO file handling improvements, a new 'po-fetch' program to fetch translated PO files from a translation project's site on the Internet, new 'msgpre' and 'spit' pre-translation programs, and Ocaml and Rust programming language improvements." From the report: With this v1.0 release in 2026, the "msgpre" and "spit" programs do involve.... Large Language Models (LLMs) in the era of AI: "Two new programs, 'msgpre' and 'spit', are provided, that implement machine translation through a locally installed Large Language Model (LLM). 'msgpre' applies to an entire PO file, 'spit' to a single message."

And when dealing with LLMs, added documentation warns users to look out for the licensing of the LLM in the spirit of free software. More details on the GNU gettext 1.0 changes via the NEWS file. GNU gettext 1.0 can be downloaded from GNU.org.

An anonymous reader quotes a report from SecurityWeek: The White House has announced that software security guidance issued during the Biden administration has been rescinded due to "unproven and burdensome" requirements that prioritized administrative compliance over meaningful security investments. The US Office of Management and Budget (OMB) has issued Memorandum M-26-05 (PDF), officially revoking the previous administration's 2022 policy, 'Enhancing the Security of the Software Supply Chain through Secure Software Development Practices' (M-22-18), as well as the follow-up enhancements announced in 2023 (M-23-16).

The new guidance shifts responsibility to individual agency heads to develop tailored security policies for both software and hardware based on their specific mission needs and risk assessments. "Each agency head is ultimately responsible for assuring the security of software and hardware that is permitted to operate on the agency's network," reads the memo sent by the OMB to departments and agencies. "There is no universal, one-size-fits-all method of achieving that result. Each agency should validate provider security utilizing secure development principles and based on a comprehensive risk assessment," the OMB added.

While agencies are no longer strictly required to do so, they may continue to use secure software development attestation forms, Software Bills of Materials (SBOMs), and other resources described in M-22-18.

An anonymous reader quotes a report from Reuters: Shares of videogame companies fell sharply in afternoon trading on Friday after Alphabet's Google rolled out its artificial intelligence model capable of creating interactive digital worlds with simple prompts. Shares of "Grand Theft Auto" maker Take-Two Interactive fell 10%, online gaming platform Roblox was down over 12%, while videogame engine maker Unity Software dropped 21%.

The AI model, dubbed "Project Genie," allows users to simulate a real-world environment through prompts with text or uploaded images, potentially disrupting how video games have been made for over a decade and forcing developers to adapt to the fast-moving technology. "Unlike explorable experiences in static 3D snapshots, Genie 3 generates the path ahead in real time as you move and interact with the world. It simulates physics and interactions for dynamic worlds," Google said in a blog post on Thursday.

Traditionally, most videogames are built inside a game engine such as Epic Games' "Unreal Engine" or the "Unity Engine", which handles complex processes like in-game gravity, lighting, sound, and object or character physics. "We'll see a real transformation in development and output once AI-based design starts creating experiences that are uniquely its own, rather than just accelerating traditional workflows," said Joost van Dreunen, games professor at NYU's Stern School of Business. Project Genie also has the potential to shorten lengthy development cycles and reduce costs, as some premium titles take around five to seven years and hundreds of millions of dollars to create.

Mike Swanson, commenting on modern software's intrusive, attention-seeking behavior: What if your car worked like so many apps? You're driving somewhere important...maybe running a little bit late. A few minutes into the drive, your car pulls over to the side of the road and asks:

"How are you enjoying your drive so far?"

Annoyed by the interruption, and even more behind schedule, you dismiss the prompt and merge back into traffic.

A minute later it does it again.

"Did you know I have a new feature? Tap here to learn more."

It blocks your speedometer with an overlay tutorial about the turn signal. It highlights the wiper controls and refuses to go away until you demonstrate mastery.

Ridiculous, of course.

And yet, this is how a lot of modern software behaves. Not because it's broken, but because we've normalized an interruption model that would be unacceptable almost anywhere else.

An anonymous reader quotes a report from Bloomberg: Investors are souring on the bonds of software companies that service industries ranging from automotive to finance as fast-paced artificial intelligence innovations threaten to upend their business models. [...] Bond prices tumbled as advances in artificial intelligence rack up. Google announced plans to launch an AI assistant to browse for internet surfers Wednesday while a customer support startup, Decagon AI Inc., raised a new round of funding. Such developments are further stoking the angst about AI displacing enterprise software companies, driving a selloff in the sector's stocks and bonds across the globe.

[...] Some say the AI fears weighing on software companies are overdone. "While point-solution software faces disruption risk, large company platforms with complex workflows and proprietary data are better positioned to benefit from AI-driven automation," wrote Union Bancaire Prive in its investment outlook for 2026 released this week. But a recent report by EY-Parthenon flagged that in the UK last year, software and computer services firms issued the highest number of warnings on earnings among listed firms. "Software multiples have compressed amid uncertainty around whether incumbents can defend pricing power and sustain growth in an AI-first work-flow environment," wrote Bruce Richards, chief executive officer and chairman of Marathon Asset Management, in a LinkedIn post last week.

When asked directly whether people actually like Experian, Alex Lintner, the credit bureau's CEO of Software and Technology, offered an unusual defense in an interview: "First of all, we're not Palantir, so we don't do reputation scores." Speaking on The Verge's podcast, Lintner conceded that consumers who have poor credit scores through "life's circumstances" sometimes direct their frustration at Experian, though he argued the company enables vital access to credit for 247 million Americans.

The 10-year company veteran said Experian has built its own large language model and about 200 AI agents for internal use, but consumer data remains entirely walled off from public AI systems. On security, Lintner said Experian hasn't experienced a data breach in a decade -- the last occurred two weeks into his tenure. When competitor Equifax suffered its massive breach, Equifax actually paid Experian to help protect affected consumers' identities.

An anonymous reader shares a report: Apple is being sued by Reincubate, which makes the Camo smartphone webcam app. It has filed a lawsuit against Apple in a U.S. federal court in New Jersey, accusing the company of anticompetitive conduct and patent infringement. The suit alleges that Apple copied Camo's technology, integrated similar features into iOS, and used control over its software ecosystem to disadvantage Reincubate's Camo product.

Reincubate's Camo and Camo Studio apps allow iOS or Android phones to function as webcams for Mac and PCs. The company launched Camo in 2020. In 2022, Apple introduced Continuity Camera, a feature that enables iPhones to serve as webcams for Macs but works only within Apple's device ecosystem. According to the lawsuit, Apple copied patented features from Camo and built them into iOS to "redirect user demand to Apple's own platform-tied offering."

Apple quietly released its first update to iOS 12 since 2023 to keep iMessage, FaceTime, and device activation working on older hardware through January 2027. The update applies to legacy devices like the iPhone 5S, iPhone 6/6 Plus, and 2013-era iPads. Macworld reports: The update appears to be related to a specific issue. According to Apple's "About iOS 12 Updates" page, iOS 12.5.78 "extends the certificate required by features such as iMessage, FaceTime, and device activation to continue working after January 2027." Meanwhile, the iOS 16 update says it "provides important bug fixes and is recommended for all users."

When iOS 13 arrived, it dropped compatibility for the iPhone 5S, iPhone 6, and iPhone 6 Plus, as well as the 2013 iPad Air and iPad Mini 3, so users of those phones should specifically take note. To update to the latest version, head over to the Settings app, then General and Software Update, and follow the instructions. Further reading: Apple Launches AirTag 2 With Improved Range, Louder Speaker

OpenAI has launched Prism, a free scientific research app that aims to do for scientific writing what coding agents did for programming. Engadget reports: Prism builds on Crixet, a cloud-based LaTeX platform the company is announcing it acquired today. For the uninitiated, LaTeX is a typesetting system for formatting scientific documents and journals. Nearly the entire scientific community relies on LaTeX, but it can make some tasks, such as drawing diagrams through TikZ commands, time-consuming to do. Beyond that, LaTeX is just one of the software tools a scientist might turn to when preparing to publish their research.

That's where Prism comes into the picture. Like Crixet before it, the app offers robust LaTeX editing and a built-in AI assistant. Where previously it was Crixet's own Chirp agent, now it's GPT-5.2 Thinking. OpenAI's model can help with more than just formatting journals -- in a press demo, an OpenAI employee used it to find and incorporate scientific literature that was relevant to the paper they were working on, with GPT-5.2 automating the process of writing the bibliography. [...] Later in the same demo, the OpenAI employee used Prism to generate a lesson plan for a graduate course on general relativity, as well as a set of problems for students to solve. OpenAI envisions these features helping scientists and professors spend less time on the more tedious tasks in their professions.

France will replace the American platforms Microsoft Teams and Zoom with its own domestically developed video conferencing platform, which will be used in all government departments by 2027, the country said. From a report: The move is part of France's strategy to stop using foreign software vendors, especially those from the United States, and regain control over critical digital infrastructure. It comes at a crucial moment as France, like Europe, reaches a turning point regarding digital sovereignty.

"The aim is to end the use of non-European solutions and guarantee the security and confidentiality of public electronic communications by relying on a powerful and sovereign tool," said David Amiel, minister for the civil service and state reform. On Monday, the government announced it will instead be using the French-made videoconference platform Visio. The platform has been in testing for a year and has around 40,000 users.

Pinterest said on Tuesday it would trim its workforce by less than 15% and reduce office space, as the social media company looks to reallocate resources to AI-focused roles and initiatives. From a report: The announcement comes as the company competes with TikTok and Meta-owned Facebook and Instagram for digital advertising budgets, as these platforms continue to draw marketers with their extensive user base.

Pinterest had 5,205 full-time employees as of September 2025. The latest job cut would translate to less than 780 positions. Top executives at the World Economic Forum's annual meeting said while jobs would disappear, new ones would spring up, with two telling Reuters that AI would be used as an excuse by companies which were planning layoffs anyway. Last week, design software maker Autodesk also announced a 7% job cut to redirect investments to its cloud platform and AI efforts.

Samsung said today that its Galaxy Z TriFold, the first tri-fold smartphone to ship in the U.S., will be available starting January 30 at a price point of $2,899 -- substantially more expensive than any other phone on the U.S. market, including Samsung's own $2,000 Galaxy Z Fold 7 and a fully loaded 2TB iPhone 17 Pro Max.

The company will only sell the device through its website and Samsung Experience Stores; mobile carrier partners including Verizon, T-Mobile, and AT&T won't be offering it directly. The TriFold unfolds into a 10-inch tablet, measures 3.9mm at its thinnest point, and is rated for 200,000 folds over its lifetime. Samsung launched the TriFold in South Korea on December 12 at 3.59 million won, about $2,450 at the time. Early reviews have praised the expansive inner screen for video but noted the 309-gram weight, thick folded dimensions, and half-baked software as significant drawbacks.

An anonymous reader quotes a report from GeekWire: Microsoft on Monday announced Maia 200, the second generation of its custom AI chip, claiming it's the most powerful first-party silicon from any major cloud provider. The company says Maia 200 delivers three times the performance of Amazon's latest Trainium chip on certain benchmarks, and exceeds Google's most recent tensor processing unit (TPU) on others. The chip is already running workloads at Microsoft's data center near Des Moines, Iowa. Microsoft says Maia 200 is powering OpenAI's GPT-5.2 models, Microsoft 365 Copilot, and internal projects from its Superintelligence team. A second deployment at a data center near Phoenix is planned next.

It's part of the larger trend among cloud giants to build their own custom silicon for AI rather than rely solely on Nvidia. [...] The company says Maia 200 offers 30% better performance-per-dollar than its current hardware. Maia 200 also builds on the first-generation chip with a more specific focus on inference, the process of running AI models after they've been trained. [...] Microsoft is also opening the door to outside developers. The company announced a software development kit that will let AI startups and researchers optimize their models for Maia 200. Developers and academics can sign up for an early preview starting today.

California house hunters now have legal protection against the kind of real estate photo trickery that has long plagued the home-buying process, as a new state law requiring disclosure of digitally altered listing images took effect on January 1.

Assembly Bill 723 mandates that real estate agents and brokers include a "reasonably conspicuous" statement whenever photos have been altered using editing software or AI to add, remove, or change elements like furniture, appliances, flooring, views or landscaping. Agents must also provide access to the original, unaltered image through a QR code, link, or placement next to the altered photo.

The law does not cover wide-angle lenses -- a perennial complaint among buyers who find rooms smaller than they appeared -- nor does it apply to routine adjustments like cropping, color correction or exposure. California is the first state to require such disclosures, though Wisconsin passed a similar law in December that takes effect next year.

Friday 72-year-old Richard Stallman made a two-hour-and-20-minutes appearance at the Georgia Institute of Technology, talking about everything from AI and connected cars to smartphones, age verfication laws, and his favorite Linux distro. But early on, Stallman also told the audience how "I despise DRM...I don't want any copy of anything with DRM. Whatever it is, I never want it so badly that I would bow down to DRM." (So he doesn't use Spotify or Netflix...)

This led to an interesting moment when someone asked him later if we have an ethical obligation to avoid piracy.. First Stallman swapped in his preferred phrase, "forbidden sharing"...

"I won't use the word piracy to refer to sharing. Sharing is good and it should be lawful. Those laws are wrong. Copyright as it is now is an injustice."

Stallman said "I don't hesitate to share copies of anything," but added that "I don't have copies of non-free software, because I'm disgusted by it." After a pause, he added this. "Just because there is a law to to give some people unjust power, that doesn't mean breaking that law becomes wrong....

"Dividing people by forbidding them to help each other is nasty."

And later Stallman was asked how he watches movies, if he's opposed to DRM-heavy sites like Netflix, and the DRM in Blu-ray discs? "The only way I can see a movie is if I get a file — you know, like an MP4 file or MKV file. And I would get that, I suppose, by copying from somebody else."

"Sharing is good. Stopping people from sharing is evil."