An anonymous reader quotes a report from Ars Technica: The English-language edition of Wikipedia is blacklisting Archive.today after the controversial archive site was used to direct a distributed denial of service (DDoS) attack against a blog. In the course of discussing whether Archive.today should be deprecated because of the DDoS, Wikipedia editors discovered that the archive site altered snapshots of webpages to insert the name of the blogger who was targeted by the DDoS. The alterations were apparently fueled by a grudge against the blogger over a post that described how the Archive.today maintainer hid their identity behind several aliases.

"There is consensus to immediately deprecate archive.today, and, as soon as practicable, add it to the spam blacklist (or create an edit filter that blocks adding new links), and remove all links to it," stated an update today on Wikipedia's Archive.today discussion. "There is a strong consensus that Wikipedia should not direct its readers towards a website that hijacks users' computers to run a DDoS attack (see WP:ELNO#3). Additionally, evidence has been presented that archive.today's operators have altered the content of archived pages, rendering it unreliable."

More than 695,000 links to Archive.today are distributed across 400,000 or so Wikipedia pages. The archive site, which is facing an investigation in which the FBI is trying to uncover the identity of its founder, is commonly used to bypass news paywalls. "Those in favor of maintaining the status quo rested their arguments primarily on the utility of archive.today for verifiability," said today's Wikipedia update. "However, an analysis of existing links has shown that most of its uses can be replaced. Several editors started to work out implementation details during this RfC [request for comment] and the community should figure out how to efficiently remove links to archive.today."

Microsoft pulled a year-old blog post this week after a Hacker News thread flagged that it had encouraged developers to download all seven Harry Potter books from a Kaggle dataset -- incorrectly marked as public domain -- and use them to train AI models on the company's Azure platform.

The blog, written in November 2024 by senior product manager Pooja Kamath, walked users through building Q&A systems and generating fan fiction using the copyrighted texts, and even included a Microsoft-branded AI image of Harry Potter. The Kaggle dataset's uploader, data scientist Shubham Maindola, told Ars Technica the public domain label was "a mistake" and deleted the dataset after the outlet reached out.

OpenAI faces four fundamental strategic problems that no amount of fundraising or capex announcements can paper over, according to analyst Benedict Evans: it has no unique technology, its enormous user base is shallow and fragile, incumbents like Google and Meta are leveraging superior distribution to close the gap, and its product roadmap is dictated by whatever the research labs happen to discover rather than by deliberate product strategy.

The company claims 800-900 million weekly active users, but 80% of them sent fewer than 1,000 messages across all of 2025, averaging fewer than three prompts a day, and only 5% pay. OpenAI has acknowledged what it calls a "capability gap" between what models can do and what people use them for -- a framing Evans reads as a polite way to avoid admitting the absence of product-market fit. Gemini and Meta AI are meanwhile gaining share rapidly because the products look nearly indistinguishable to typical users, and Google and Meta already have the distribution to push them. Evans compares ChatGPT to Netscape -- an early leader in a category where the products were hard to tell apart, overtaken by a competitor that used distribution as a crowbar.

On capex, Evans argues that Altman's ambitions -- claiming $1.4 trillion and 30 gigawatts of future compute -- amount to an attempt to will OpenAI into a seat at a table where annual infrastructure spending may need to reach hundreds of billions. But a seat at the table is not leverage over it; he compares this to TSMC, which holds a de facto chip monopoly yet captures little value further up the stack.

OpenAI's own strategy diagrams from late last year laid out a full-stack platform vision -- chips, models, developer tools, consumer products -- each layer reinforcing the others. Evans argues this borrows the language of Windows and iOS without possessing any of the underlying dynamics: no network effect, no lock-in preventing developers from calling a different model's API, and no reason customers would know or care which foundation model powers the product they are using.

An anonymous reader shares a report: Meta product managers are rebranding. Some are now calling themselves "AI builders," a signal that AI coding tools are changing who gets to build software inside the company. One of them, Jeremie Guedj, announced the change in a LinkedIn post last week. "I still can't believe I'm writing this: as of today, my full-time job at Meta is AI Builder," he wrote.

Guedj has spent more than a decade as a traditional product manager, a role that sets the road map and strategy for products then built by engineering teams. He said that while his title in Meta's internal systems still lists him as a product manager, his actual work is now full-time building with AI on what he calls an "AI-native team." Another Meta product manager also lists "AI Builder" on her LinkedIn profile, while at least two other Meta engineers write the term in their bios, Business Insider found.

An anonymous reader shares a report: Amazon's cloud unit has suffered at least two outages due to errors involving its own AI tools [non-paywalled source], leading some employees to raise doubts about the US tech giant's push to roll out these coding assistants.

Amazon Web Services experienced a 13-hour interruption to one system used by its customers in mid-December after engineers allowed its Kiro AI coding tool to make certain changes, according to four people familiar with the matter.

The people said the agentic tool, which can take autonomous actions on behalf of users, determined that the best course of action was to "delete and recreate the environment." Amazon posted an internal postmortem about the "outage" of the AWS system, which lets customers explore the costs of its services. Multiple Amazon employees told the FT that this was the second occasion in recent months in which one of the group's AI tools had been at the centre of a service disruption.

An anonymous reader quotes a report from Wired: Last month, Jason Grad issued a late-night warning to the 20 employees at his tech startup. "You've likely seen Clawdbot trending on X/LinkedIn. While cool, it is currently unvetted and high-risk for our environment," he wrote in a Slack message with a red siren emoji. "Please keep Clawdbot off all company hardware and away from work-linked accounts." Grad isn't the only tech executive who has raised concerns to staff about the experimental agentic AI tool, which was briefly known as MoltBot and is now named OpenClaw. A Meta executive says he recently told his team to keep OpenClaw off their regular work laptops or risk losing their jobs. The executive told reporters he believes the software is unpredictable and could lead to a privacy breach if used in otherwise secure environments. He spoke on the condition of anonymity to speak frankly.

[...] Some cybersecurity professionals have publicly urged companies to take measures to strictly control how their workforces use OpenClaw. And the recent bans show how companies are moving quickly to ensure security is prioritized ahead of their desire to experiment with emerging AI technologies. "Our policy is, 'mitigate first, investigate second' when we come across anything that could be harmful to our company, users, or clients," says Grad, who is cofounder and CEO of Massive, which provides Internet proxy tools to millions of users and businesses. His warning to staff went out on January 26, before any of his employees had installed OpenClaw, he says. At another tech company, Valere, which works on software for organizations including Johns Hopkins University, an employee posted about OpenClaw on January 29 on an internal Slack channel for sharing new tech to potentially try out. The company's president quickly responded that use of OpenClaw was strictly banned, Valere CEO Guy Pistone tells WIRED. "If it got access to one of our developer's machines, it could get access to our cloud services and our clients' sensitive information, including credit card information and GitHub codebases," Pistone says. "It's pretty good at cleaning up some of its actions, which also scares me."

A week later, Pistone did allow Valere's research team to run OpenClaw on an employee's old computer. The goal was to identify flaws in the software and potential fixes to make it more secure. The research team later advised limiting who can give orders to OpenClaw and exposing it to the Internet only with a password in place for its control panel to prevent unwanted access. In a report shared with WIRED, the Valere researchers added that users have to "accept that the bot can be tricked." For instance, if OpenClaw is set up to summarize a user's email, a hacker could send a malicious email to the person instructing the AI to share copies of files on the person's computer. But Pistone is confident that safeguards can be put in place to make OpenClaw more secure. He has given a team at Valere 60 days to investigate. "If we don't think we can do it in a reasonable time, we'll forgo it," he says. "Whoever figures out how to make it secure for businesses is definitely going to have a winner."

The IRS's IT division has reportedly lost 40% of its staff and nearly 80% of its tech leadership amid a federal "efficiency" overhaul, the agency's CIO revealed yesterday. The Register reports: Kaschit Pandya detailed the extent of the tech reorganization during a panel at the Association of Government Accountants yesterday, describing it as the biggest in two decades. ... The IRS lost a quarter of its workforce overall in 2025. But the tech team was clearly affected more deeply. At the start of the year, the team encompassed around 8,500 employees.

As reported by Federal News Network (FNN), Pandya said: "Last year, we lost approximately 40 percent of the IT staff and nearly 80 percent of the execs." "So clearly there was an opportunity, and I thought the opportunity that we needed to really execute was reorganizing." That included breaking up silos within the organization, he said. "Everyone was operating in their own department or area."

It is not entirely clear where all those staff have gone. According to a report by the US Treasury Inspector General for Tax Administration, the IT department had 8,504 workers as of October 2024. As of October 2025, it had 7,135. However, reports say that as part of the reorganization, 1,000 techies were detailed to work on delivering frontline services during the US tax season. According to FNN, those employees have questioned the wisdom of this move and its implementation.

A bare-bones Chinese app called "Are You Dead?" -- whose entire premise is that solo-living users tap daily to confirm they're still alive, triggering an alert to an emergency contact after two missed check-ins -- has rocketed to the top of China's app store charts and gone viral globally without spending a dime on advertising.

The app wasn't built for the elderly, as many assumed; its creators are Gen-Z developers who said they were inspired by the isolation of urban life in a country where one-person households are expected to hit 200 million by 2030. Its rise coincided with China's birth rate plunging to a record low. Beijing quietly removed the app from Chinese stores last month, and the developers are now crowdsourcing a new name on social media after their first rebrand attempt, "Demumu," failed to catch on.

Phison CEO Pua Khein-Seng, whose company is one of the leading makers of controller chips for SSDs and other flash memory devices, admitted in a televised interview that the ongoing global RAM shortage could force companies to cut back their product lines in the second half of 2026 -- and that some may not survive at all if they cannot secure enough memory.

The interview, conducted in Chinese by Ningguan Chen of Taiwanese broadcaster Next TV, drew an important distinction: it was the interviewer who raised the possibility of shutdowns and product discontinuations, and Khein-Seng largely agreed rather than volunteering the prediction himself. The shortage stems from AI data centers consuming the vast majority of the world's memory supply, a buildout that has sent RAM prices up by three to six times over the past several months. Only three companies control 93% of the global DRAM market, and all three have chosen to prioritize profits over rapid capacity expansion. Even Nvidia may skip shipping a gaming GPU for the first time in 30 years, and Apple could struggle to secure enough chips. Khein-Seng also expects consumers will increasingly repair broken products rather than replace them.

An anonymous reader quotes a report from the Guardian: Tech companies are conflating traditional artificial intelligence with generative AI when claiming the energy-hungry technology could help avert climate breakdown, according to a report. Most claims that AI can help avert climate breakdown refer to machine learning and not the energy-hungry chatbots and image generation tools driving the sector's explosive growth of gas-guzzling datacenters, the analysis of 154 statements found.

The research, commissioned by nonprofits including Beyond Fossil Fuels and Climate Action Against Disinformation, did not find a single example where popular tools such as Google's Gemini or Microsoft's Copilot were leading to a "material, verifiable, and substantial" reduction in planet-heating emissions. Ketan Joshi, an energy analyst and author of the report, said the industry's tactics were "diversionary" and relied on tried and tested methods that amount to "greenwashing."

He likened it to fossil fuel companies advertising their modest investments in solar panels and overstating the potential of carbon capture. "These technologies only avoid a minuscule fraction of emissions relative to the massive emissions of their core business," said Joshi. "Big tech took that approach and upgraded and expanded it." [...] Joshi said the discourse around AI's climate benefits needed to be "brought back to reality." "The false coupling of a big problem and a small solution serves as a distraction from the very preventable harms being done through unrestricted datacenter expansion," he said.

Mark Zuckerberg is testifying in a landmark Los Angeles trial examining whether Meta and other social media firms can be held liable for designing platforms that allegedly addict and harm children. NBC News reports: It's the first of a consolidated group of cases -- from more than 1,600 plaintiffs, including over 350 families and over 250 school districts -- scheduled to be argued before a jury in Los Angeles County Superior Court. Plaintiffs accuse the owners of Instagram, YouTube, TikTok and Snap of knowingly designing addictive products harmful to young users' mental health. Historically, social media platforms have been largely shielded by Section 230, a provision added to the Communications Act of 1934, that says internet companies are not liable for content users post. TikTok and Snap reached settlements with the first plaintiff, a 20-year-old woman identified in court as K.G.M., ahead of the trial. The companies remain defendants in a series of similar lawsuits expected to go to trial this year.

[...] Matt Bergman, founding attorney of Social Media Victims Law Center -- which is representing about 750 plaintiffs in the California proceeding and about 500 in the federal proceeding -- called Wednesday's testimony "more than a legal milestone -- it is a moment that families across this country have been waiting for." "For the first time, a Meta CEO will have to sit before a jury, under oath, and explain why the company released a product its own safety teams warned were addictive and harmful to children," Bergman said in a statement Tuesday, adding that the moment "carries profound weight" for parents "who have spent years fighting to be heard." "They deserve the truth about what company executives knew," he said. "And they deserve accountability from the people who chose growth and engagement over the safety of their children."

Andrew Yang, the former presidential candidate and longtime Universal Basic Income advocate, published a blog post this week warning that AI is about to displace millions of white-collar workers in the U.S. over the next 12 to 18 months, a wave he has taken to calling "the Fuckening."

Yang cited a conversation with the CEO of a publicly traded tech company who said the firm is cutting 15% of its workforce now and plans another 20% cut in two years, followed by yet another 20% two years after that. The U.S. currently has about 70 million white-collar workers, and Yang expects that number to fall by 20 to 50% over the next several years.

Underemployment among recent college graduates has already hit 52%, and only 30% of graduating seniors have landed a job in their field. Yang's proposed remedy remains the same one he ran on in 2020: Universal Basic Income.

An anonymous reader quotes a report from Fortune: In 1987, economist and Nobel laureate Robert Solow made a stark observation about the stalling evolution of the Information Age: Following the advent of transistors, microprocessors, integrated circuits, and memory chips of the 1960s, economists and companies expected these new technologies to disrupt workplaces and result in a surge of productivity. Instead, productivity growth slowed, dropping from 2.9% from 1948 to 1973, to 1.1% after 1973. Newfangled computers were actually at times producing too much information, generating agonizingly detailed reports and printing them on reams of paper. What had promised to be a boom to workplace productivity was for several years a bust. This unexpected outcome became known as Solow's productivity paradox, thanks to the economist's observation of the phenomenon. "You can see the computer age everywhere but in the productivity statistics," Solow wrote in a New York Times Book Review article in 1987.

New data on how C-suite executives are -- or aren't -- using AI shows history is repeating itself, complicating the similar promises economists and Big Tech founders made about the technology's impact on the workplace and economy. Despite 374 companies in the S&P 500 mentioning AI in earnings calls -- most of which said the technology's implementation in the firm was entirely positive -- according to a Financial Times analysis from September 2024 to 2025, those positive adoptions aren't being reflected in broader productivity gains.

A study published this month by the National Bureau of Economic Research found that among 6,000 CEOs, chief financial officers, and other executives from firms who responded to various business outlook surveys in the U.S., U.K., Germany, and Australia, the vast majority see little impact from AI on their operations. While about two-thirds of executives reported using AI, that usage amounted to only about 1.5 hours per week, and 25% of respondents reported not using AI in the workplace at all. Nearly 90% of firms said AI has had no impact on employment or productivity over the last three years, the research noted. However, firms' expectations of AI's workplace and economic impact remained substantial: Executives also forecast AI will increase productivity by 1.4% and increase output by 0.8% over the next three years. While firms expected a 0.7% cut to employment over this time period, individual employees surveyed saw a 0.5% increase in employment.

According to Bloomberg's Mark Gurman (paywalled), Apple is reportedly developing AI-powered smart glasses, a wearable pendant, and camera-equipped AirPods that connect to the iPhone and use "visual context" to let Siri perform real-world actions. The Verge reports: Apple is reportedly aiming to start production of its smart glasses in December, ahead of a 2027 launch. The new device will compete directly with Meta's lineup of smart glasses and is rumored to feature speakers, microphones, and a high-resolution camera for taking photos and videos, in addition to another lens designed to enable AI-powered features.

The glasses won't have a built-in display, but they will allow users to make phone calls, interact with Siri, play music, and "take actions based on surroundings," such as asking about the ingredients in a meal, according to Bloomberg. Apple's smart glasses could also help users identify what they're seeing, reference landmarks when offering directions, and remind wearers to complete a task in specific situations, Bloomberg reports.

The company is reportedly planning to develop the frames for the smart glasses in-house, instead of partnering with a third-party company like Meta does with Ray-Ban and Oakley. Prototypes of the glasses use a cable to connect to a battery pack and an iPhone, but Bloomberg reports that "newer versions have the components embedded in the frame." Apple reportedly wants to make its smart glasses stand out by offering a high-quality build and advanced camera technology. The company is still working on AI-powered smart glasses with a display, though their launch "remains many years away," Bloomberg says.

Apple's plans for AI hardware don't end there, as the company is expected to build upon its Google Gemini-powered Siri upgrade with an AirTag-sized AI pendant that people can either wear as a necklace or a pin. This device would "essentially serve as an always-on camera" for the iPhone and has a microphone for prompting Siri, Bloomberg reports. The pendant, which The Information first reported on last month, is rumored to come with a built-in chip, but will mainly rely on the iPhone's processing power. The device could arrive as early as next year, according to Bloomberg.

Sony Group has developed a technology that can identify the underlying music used in tunes generated by AI, making it possible for songwriters to seek compensation from AI developers if their music was used. From a report: Sony Group's technology analyzes which musicians' songs were used in learning and generating music. It can quantify the contribution of each original work, such as "30% of the music used by the Beatles and 10% by Queen," for example.

If the AI developer agrees to cooperate for the analysis, Sony Group will obtain data by connecting to the developer's base model system. When cooperation is not attainable, the technology estimates the original work by comparing AI-generated music with existing music. The AI boom has sparked numerous cases in which AI developers are accused of using copyrighted music, video and writing without permission to train machines. In the music industry, AI-generated songs using the voices of well-known singers have been distributed online. The Japanese company thinks the technology will help create a system that distributes revenue generated by AI music to original songwriters based on their contribution.