An anonymous reader quotes a report from TechCrunch: A study by the Pew Research Center found that Americans' views of Elon Musk and Mark Zuckerberg skew more negative than positive. While Zuckerberg has sparked chatter in Silicon Valley with his sudden interest in high fashion, the Meta CEO is less popular than President Trump's right-hand man, Elon Musk, the report found. While about 54% of U.S. adults say they have an unfavorable view of Musk, 67% feel negatively toward Zuckerberg. [...] But Zuckerberg, the Facebook founder, is more universally disliked, though he draws more ire from the left-leaning demographic. While 60% of Republican and Republican-leaning respondents hold an unfavorable view of Zuckerberg, 76% of their Democratic counterparts share that sentiment. So, while Zuck may be playing the part of the cool guy, Americans haven't been fooled by his gold chains or musical ambitions, it seems. Pew's study involved a panel of 5,086 randomly selected U.S. adults. The survey was conducted from January 27, 2025, through February 2, 2025, so these responses reflect people's recent opinions.

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Microsoft's announcement of a breakthrough in quantum computing faces skepticism from physicists, who say evidence supporting the company's claims remains insufficient. The tech giant reported creating Majorana particles - a development it says could revolutionize quantum computing - but the accompanying peer-reviewed paper in Nature does not conclusively demonstrate this achievement, according to multiple quantum physics experts who reviewed the research. Microsoft's corporate vice president for quantum hardware, Chetan Nayak, acknowledged the Nature paper wasn't meant to prove the particles' existence, though he claimed measurements suggested "95% likelihood" of topological activity. The company plans to publish additional findings. The announcement has drawn particular scrutiny given the field's history of retracted claims. Two previous Nature papers on similar discoveries were withdrawn in 2017 and 2018, while a 2020 paper in Science involving Microsoft researchers remains under review. "This is where you cross over from the realm of science to advertising," said Jay Sau, a theoretical physicist at the University of Maryland who sometimes consults for Microsoft but wasn't involved in the current research.

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The Register's Lindsay Clark reports: Fifteen years of big data hype, and guess what? Less than one in four of those in charge of analytics projects actually measure the value of the activity to the organization they work for. The result from Gartner -- a staggering one considering the attention heaped on big data and its various hype-oriented successors -- found that in a survey of chief data and analytics (D&A) officers, only 22 percent had defined, tracked, and communicated business impact metrics for the bulk of their data and analytics use cases. It wasn't for lack of interest though. For more than 90 percent of the 504 respondents, value-focused and outcome-focused areas of the D&A leader's role have gained dominance over the past 12 to 18 months, and will continue to be a concern in the future. It is difficult, though: 30 percent of respondents say their top challenge is the inability to measure data, analytics and AI impact on business outcomes. "There is a massive value vibe around data, where many organizations talk about the value of data, desire to be data-driven, but there are few who can substantiate it," said Michael Gabbard, senior director analyst at Gartner. He added that while most chief data and analytics officers were responsible for data strategy, a third do not see putting in place an operating model as a primary responsibility. "There is a perennial gap between planning and execution for D&A leaders," he said.

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Asus has introduced the Fragrance Mouse, a hybrid wireless mouse that features a removable container for fragrance oils. Despite not being a gaming mouse, it includes premium features like PTFE pads, low-noise clicks rated for up to 10 million presses, and three fixed DPI settings (1200, 1600, 2400). Tom's Hardware reports: The selling point of the new mouse is its fragrance-producing capabilities. Under the mouse (right behind the AA battery housing) is a small semi-translucent container designed to house oils that give the mouse a pleasing aroma. There's no limit to what scents can be used; the container can be washed and refilled with different scents. Last year, the peripheral maker debuted an aroma-dispensing laptop that featured a fragrance dispenser at the center of the lid.

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OpenAI has banned a group of Chinese accounts using ChatGPT to develop an AI-powered social media surveillance tool. Engadget reports: The campaign, which OpenAI calls Peer Review, saw the group prompt ChatGPT to generate sales pitches for a program those documents suggest was designed to monitor anti-Chinese sentiment on X, Facebook, YouTube, Instagram and other platforms. The operation appears to have been particularly interested in spotting calls for protests against human rights violations in China, with the intent of sharing those insights with the country's authorities. "This network consisted of ChatGPT accounts that operated in a time pattern consistent with mainland Chinese business hours, prompted our models in Chinese, and used our tools with a volume and variety consistent with manual prompting, rather than automation," said OpenAI. "The operators used our models to proofread claims that their insights had been sent to Chinese embassies abroad, and to intelligence agents monitoring protests in countries including the United States, Germany and the United Kingdom." According to Ben Nimmo, a principal investigator with OpenAI, this was the first time the company had uncovered an AI tool of this kind. "Threat actors sometimes give us a glimpse of what they are doing in other parts of the internet because of the way they use our AI models," Nimmo told The New York Times. Much of the code for the surveillance tool appears to have been based on an open-source version of one of Meta's Llama models. The group also appears to have used ChatGPT to generate an end-of-year performance review where it claims to have written phishing emails on behalf of clients in China.

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An anonymous reader quotes a report from The Register: On Saturday at the Silverstone Cafe in San Francisco, a smattering of activists gathered to discuss plans to stop the further advancement of artificial intelligence. The name of their non-violent civil resistance group, STOP AI, makes its mission clear. The organization wants to ban something that, by most accounts, doesn't yet exist -- artificial general intelligence, or AGI, defined by OpenAI as "highly autonomous systems that outperform humans at most economically valuable work." STOP AI outlines a broader set of goals on its website. For example, "We want governments to force AI companies to shut down everything related to the creation of general-purpose AI models, destroy any existing general-purpose AI model, and permanently ban their development." In answer to the question "Does STOP AI want to ban all AI?", the group's answer is, "Not necessarily, just whatever is necessary to keep humanity alive." The group, which has held protests outside OpenAI's office and plans another outside the company's San Francisco HQ on February 22, has bold goal: rally support from 3.5 percent of the U.S. population, or 11 million people. That's the so-called "tipping point" needed for societal change, based on research by political scientist Erica Chenoweth. "The implications of artificial general intelligence are so immense and dangerous that we just don't want that to come about ever," said Finn van der Velde, an AI safety advocate and activist with a technical background in computer science and AI specifically. "So what that will practically mean is that we will probably need an international treaty where the governments across the board agree that we don't build AGI. And so that means disbanding companies like OpenAI that specifically have the goal to build AGI." It also means regulating compute power so that no one will be able to train an AGI model.

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The General Services Administration (GSA) is shutting down its nationwide electric vehicle (EV) chargers, deeming them "not mission critical." The U.S. government agency also plans to offload newly purchased EVs, reversing initiatives from the Biden administration aimed at transitioning the federal vehicle fleet to electric. The Verge reports: The GSA currently operates several hundred EV chargers across the country, with approximately 8,000 plugs that are available for government-owned EVs as well as federal employees' personally owned vehicles. The official guidance instructing federal workers to begin the process of shutting down the chargers will be announced internally next week, according to a source with knowledge of the plans. Some regional offices have been told to start taking their chargers offline, according to an email viewed by The Verge. "As GSA has worked to align with the current administration, we have received direction that all GSA owned charging stations are not mission critical," the email reads. The GSA is working on the timing of canceling current network contracts that keep the EV chargers operational. Once those contracts are canceled, the stations will be taken out of service and "turned off at the breaker," the email reads. Other chargers will be turned off starting next week. "Neither Government Owned Vehicles nor Privately Owned Vehicles will be able to charge at these charging stations once they're out of service," it concludes.

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According to The Information (paywalled), OpenAI plans to shift most of its computing power from Microsoft to SoftBank-backed Stargate by 2030. TechCrunch reports: That represents a major shift away from Microsoft, OpenAI's biggest shareholder, who fulfills most of the startup's power needs today. The change won't happen overnight. OpenAI still plans to increase its spending on Microsoft-owned data centers in the next few years. During that time, OpenAI's overall costs are set to grow dramatically. The Information reports that OpenAI projects to burn $20 billion in cash during 2027, far more than the $5 billion it reportedly burned through in 2024. By 2030, OpenAI reportedly forecasts that its costs around running AI models, also known as inference, will outpace what the startup spends on training AI models.

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An anonymous reader quotes a report from Gizmodo: Fourteen-year-old Aaryan Shukla cruised through six mental math calculation world records in a single day, according to a Guinness World Records statement published on February 12, earning the well-deserved nickname, "human calculator kid." Specifically, it took Shukla: - 30.9 seconds to mentally add 100 four-digit numbers - One minute and 9.68 seconds to mentally add 200 four-digit numbers - 18.71 seconds to mentally add 50 five-digit numbers - Five minutes and 42 seconds to mentally divide a 20-digit number by a ten-digit number ten times - 51.69 seconds to mentally multiply two five-digit numbers ten times - Two minutes and 35.41 seconds to mentally multiply two eight-digit numbers ten times According to the statement, these are among the most difficult mental calculation world records ever attempted. Shukla's frankly mind-boggling achievement also comes in the wake of another world record he broke in April 2024 at the age of 13: fastest time to mentally add 50 five-digit numbers. It took him just 25.19 seconds. That's an addition every half a second. I wouldn't be surprised if students seeking "shortcuts" in their math homework started phoning up Shukla instead of reaching for their ChatGPT browser tab. Guinness World Records published a video about Shukla's accomplishments on YouTube.

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Chinese startup DeepSeek will make its models' code publicly available, it said on Friday, doubling down on its commitment to open-source artificial intelligence. From a report: The company said in a post on social media platform X that it will open source 5 code repositories next week, describing the move as "small but sincere progress" that it will share "with full transparency." "These humble building blocks in our online service have been documented, deployed and battle-tested in production." the post said. DeepSeek rattled the global AI industry last month when it released its open-source R1 reasoning model, which rivaled Western systems in performance while being developed at a lower cost.

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HP has ended its controversial practice of imposing mandatory 15-minute wait times for customer support calls in several European countries, following internal pushback and customer complaints. The company confirmed the reversal and said it will "continue to prioritize timely access to live phone support."

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Cryptocurrency exchange Bybit has experienced $1.46 billion worth of "suspicious outflows," according to blockchain sleuth ZachXBT. From a report: The wallet in question appears to have sent 401,346 ETH ($1.1 billion) as well as several other iterations of staked ether (stETH) to a fresh wallet, which is now liquidating mETH and stETH on decentralized exchanges, etherscan shows. The wallet has sold around $200 million worth of stETH so far. Bybit CEO Ben Zhou wrote on X that a hacker "took control of the specific ETH cold wallet and transferred all the ETH in the cold wallet to this unidentified address."

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WinRAR 7.10 now lets users remove potentially sensitive metadata from downloaded files while preserving core Windows security features. The file compression tool's latest release introduces a "Zone value only" setting that strips download locations and IP addresses from Windows' Mark-of-the-Web security flags during file extraction. The new privacy control, enabled by default, maintains only the basic security zone identifier that triggers Windows' safety prompts for downloaded files. This change prevents recipients of shared archives from accessing metadata that could reveal where files originated. The update from win.rar GmbH, whose compression software claims 500 million users worldwide, also adds performance improvements through larger memory page support and introduces a dark mode interface.

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Apple is removing its most advanced, end-to-end encrypted security feature for cloud data in the United Kingdom [alternative source], in a stunning development after the government ordered the company to build a backdoor for accessing user data. From a report: The company said Friday that Advanced Data Protection, an optional feature that adds end-to-end encryption to a wide assortment of user data is no longer available in the UK for new users. This layer of security covers iCloud data storage, device backups, web bookmarks, voice memos, notes, photos, reminders and text message backups. "We are gravely disappointed that the protections provided by ADP will not be available to our customers in the UK given the continuing rise of data breaches and other threats to customer privacy," the company said in a statement. "ADP protects iCloud data with end-to-end encryption, which means the data can only be decrypted by the user who owns it, and only on their trusted devices."

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AI coding assistants are reshaping software development, but they're unlikely to replace human programmers entirely, according to industry experts and developers. GitHub CEO Thomas Dohmke projects AI could soon generate 80-90% of corporate code, transforming developers into "conductors of an AI-empowered orchestra" who guide and direct these systems. Current AI coding tools, including Microsoft's GitHub Copilot, are delivering 10-30% productivity gains in business environments. At KPMG, developers report saving 4.5 hours weekly using Copilot, while venture investment in AI coding assistants tripled to $1.6 billion in 2024. The tools are particularly effective at automating routine tasks like documentation generation and legacy code translation, according to KPMG AI expert Swami Chandrasekaran. They're also accelerating onboarding for new team members. Demand for junior developers remains soft, however, though analysts say it's premature to attribute this directly to AI adoption. Training programs like Per Scholas are already adapting, incorporating AI fundamentals alongside traditional programming basics to prepare developers for an increasingly AI-augmented workplace.

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Software engineering job listings have plummeted to a five-year low, with postings on Indeed dropping to 65% of January 2020 levels -- a steeper decline than any other tech-adjacent field. According to data from Indeed's job aggregator, software development positions are now at 3.5x fewer vacancies compared to their mid-2022 peak and 8% lower than a year ago. The decline appears driven by multiple factors including widespread adoption of AI coding tools -- with 75% of engineers reporting use of AI assistance -- and a broader tech industry recalibration after aggressive pandemic-era hiring. Notable tech companies like Salesforce are maintaining flat engineering headcount while reporting 30% productivity gains from AI tools, according to an analysis by software engineer Gergely Orosz. While the overall job market shows 10% growth since 2020, software development joins other tech-focused sectors in decline: marketing (-19%), hospitality (-18%), and banking/finance (-7%). Traditional sectors like construction (+25%), accounting (+24%), and electrical engineering (+20%) have grown significantly in the same period, he wrote. The trend extends beyond U.S. borders, with Canada showing nearly identical patterns. European markets and Australia demonstrate more resilience, though still below peak levels.

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A new AI tool developed by Google solved a decade-long superbug mystery in just two days, reaching the same conclusion as Professor Jose R Penades' unpublished research and even offering additional, promising hypotheses. The BBC reports: The researchers have been trying to find out how some superbugs - dangerous germs that are resistant to antibiotics - get created. Their hypothesis is that the superbugs can form a tail from different viruses which allows them to spread between species. Prof Penades likened it to the superbugs having "keys" which enabled them to move from home to home, or host species to host species. Critically, this hypothesis was unique to the research team and had not been published anywhere else. Nobody in the team had shared their findings. So Mr Penades was happy to use this to test Google's new AI tool. Just two days later, the AI returned a few hypotheses - and its first thought, the top answer provided, suggested superbugs may take tails in exactly the way his research described.

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California is considering officially recognizing Bigfoot as its state cryptid through Assembly Bill 666, introduced last week by North Coast Assemblymember Chris Rogers. "Rogers' district spans Del Norte, Humboldt, Mendocino, Sonoma and Trinity counties, a region known as the epicenter of Bigfoot lore," reports SFGATE. From the report: Assemblyman Rogers' Assembly Bill 666 is still in its early stages. According to the California Legislative Information website, the bill's title has been read aloud in the state Assembly and is now being printed and distributed to committee members for review. If it clears committee, it must then pass the Assembly and Senate before reaching the governor's desk to be signed into law. [Matt Moneymaker, a longtime Bigfoot researcher and former star of the Animal Planet series 'Finding Bigfoot], is eager to witness history. "If there's going to be a date, an occasion when they're voting on whether or not to make it the official cryptid, I would love to be up there in Sacramento," he said. "I would gladly pay my way to be there when that happens." "Mankind has always had a fascination with monsters, and mythologies from around the world include stories of strange and terrifying creatures," writes Slashdot reader Pickens in a story published in 2008. "Examples include the half-bull, half-human Minotaur of Greek myths, the living clay Golem of Jewish traditions, British elves and Chinese dragons..." What's your favorite monster?

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We like trains here at Error'd, and you all seem to like trains too. That must be the main reason we get so many submissions about broken information systems.

"Pass," said Jozsef . I think that train might have crashed already.

 

An anonymous subscriber shared an epic tale some time ago. They explained thus. "(I couldn't capture in the photo, but the next station after Duivendrecht was showing the time of 09:24+1.) We know Europe has pretty good trains, and even some high-speed lines. But this was the first time I boarded a time-traveling train. At first I was annoyed to be 47 minutes late. I thought I could easily walk from Amsterdam Centraal to Muiderpoort in less than the 53 minutes that this train would take. But I was relieved to know the trip to the further stations was going to be quicker, and I would arrive there even before arriving at the earlier stations."
I think the explanation here is that this train is currently expected to arrive at Muiderport around 10:01. But it's still projected to arrive at the following stop at 9:46, and more surprisingly at the successive stops at 9:35 and 9:25.

 

Railfan Richard B. recently shared "Points failure on the West Coast Main Line has disrupted the linear nature of time."

 

and quite some time ago, he also sent us this snap, singing "That train that's bound for glory? It runs through here."

 

An unrelated David B. wonders "When is the next train? We don't know, it's running incognito."

 

And finally, courageous Ivan got sideways underground. "Copenhagen subway system may have fully automated trains, but their informational screens need a little manual help every now and then."

 

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An anonymous reader quotes a report from Ars Technica: Just because Meta admitted to torrenting a dataset of pirated books for AI training purposes, that doesn't necessarily mean that Meta seeded the file after downloading it, the social media company claimed in a court filing (PDF) this week. Evidence instead shows that Meta "took precautions not to 'seed' any downloaded files," Meta's filing said. Seeding refers to sharing a torrented file after the download completes, and because there's allegedly no proof of such "seeding," Meta insisted that authors cannot prove Meta shared the pirated books with anyone during the torrenting process. [...] Meta ... is hoping to convince the court that torrenting is not in and of itself illegal, but is, rather, a "widely-used protocol to download large files." According to Meta, the decision to download the pirated books dataset from pirate libraries like LibGen and Z-Library was simply a move to access "data from a 'well-known online repository' that was publicly available via torrents." To defend its torrenting, Meta has basically scrubbed the word "pirate" from the characterization of its activity. The company alleges that authors can't claim that Meta gained unauthorized access to their data under CDAFA. Instead, all they can claim is that "Meta allegedly accessed and downloaded datasets that Plaintiffs did not create, containing the text of published books that anyone can read in a public library, from public websites Plaintiffs do not operate or own." While Meta may claim there's no evidence of seeding, there is some testimony that might be compelling to the court. Previously, a Meta executive in charge of project management, Michael Clark, had testified (PDF) that Meta allegedly modified torrenting settings "so that the smallest amount of seeding possible could occur," which seems to support authors' claims that some seeding occurred. And an internal message (PDF) from Meta researcher Frank Zhang appeared to show that Meta allegedly tried to conceal the seeding by not using Facebook servers while downloading the dataset to "avoid" the "risk" of anyone "tracing back the seeder/downloader" from Facebook servers. Once this information came to light, authors asked the court for a chance to depose Meta executives again, alleging that new facts "contradict prior deposition testimony." "Meta has been 'silent so far on claims about sharing data while 'leeching' (downloading) but told the court it plans to fight the seeding claims at summary judgement," notes Ars.

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