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?

Using apps and websites in dark mode can actually use more energy than standard mode, according to researchers, as it causes people to crank up the brightness. From a report: This counterintuitive finding is claimed by BBC Research & Development (R&D), which says that despite the popular energy saving recommendation to cut electricity consumption by switching to dark mode, doing so might actually make things worse. "Dark mode is a popular dark-theme colour content scheme and research has found that, for some devices, switching to dark mode can reduce device power consumption. Energy conscious internet users are therefore encouraged to browse in dark mode," say the authors of a BBC R&D blog post.

"The catch is that the advertised energy savings haven't been tested in the wild, where user behavior can cause unexpected consequences." So the BBC's R&D engineers put participants in front of the BBC Sounds home page and asked them to adjust the device brightness until they were comfortable with it, repeating this for both light and dark mode versions of the page.

"[O]ur intrepid China reporter, Caiwei Chen, has identified a new trend unfolding within China's tech scene: Companies that were dominant in electric vehicles are betting big on translating that success into developing humanoid robots," writes MIT Technology Review's James O'Donnell. "I spoke with her about what she found out and what it might mean for Trump's policies and the rest of the globe..." An anonymous reader quotes an excerpt from the report: Your story looks at electric-vehicle makers in China that are starting to work on humanoid robots, but I want to ask about a crazy stat. In China, 53% of vehicles sold are either electric or hybrid, compared with 8% in the US. What explains that?

Price is a huge factor -- there are countless EV brands competing at different price points, making them both affordable and high-quality. Government incentives also play a big role. In Beijing, for example, trading in an old car for an EV gets you 10,000 RMB (about $1,500), and that subsidy was recently doubled. Plus, finding public charging and battery-swapping infrastructure is much less of a hassle than in the US.

You open your story noting that China's recent New Year Gala, watched by billions of people, featured a cast of humanoid robots, dancing and twirling handkerchiefs. We've covered how sometimes humanoid videos can be misleading. What did you think?

I would say I was relatively impressed -- the robots showed good agility and synchronization with the music, though their movements were simpler than human dancers'. The one trick that is supposed to impress the most is the part where they twirl the handkerchief with one finger, toss it into the air, and then catch it perfectly. This is the signature of the Yangko dance, and having performed it once as a child, I can attest to how difficult the trick is even for a human! There was some skepticism on the Chinese internet about how this was achieved and whether they used additional reinforcement like a magnet or a string to secure the handkerchief, and after watching the clip too many times, I tend to agree.

President Trump has already imposed tariffs on China and is planning even more. What could the implications be for China's humanoid sector?

Unitree's H1 and G1 models are already available for purchase and were showcased at CES this year. Large-scale US deployment isn't happening yet, but China's lower production costs make these robots highly competitive. Given that 65% of the humanoid supply chain is in China, I wouldn't be surprised if robotics becomes the next target in the US-China tech war.

In the US, humanoid robots are getting lots of investment, but there are plenty of skeptics who say they're too clunky, finicky, and expensive to serve much use in factory settings. Are attitudes different in China?

Skepticism exists in China too, but I think there's more confidence in deployment, especially in factories. With an aging population and a labor shortage on the horizon, there's also growing interest in medical and caregiving applications for humanoid robots.

DeepSeek revived the conversation about chips and the way the US seeks to control where the best chips end up. How do the chip wars affect humanoid-robot development in China?

Training humanoid robots currently doesn't demand as much computing power as training large language models, since there isn't enough physical movement data to feed into models at scale. But as robots improve, they'll need high-performance chips, and US sanctions will be a limiting factor. Chinese chipmakers are trying to catch up, but it's a challenge.

Leading AI models can fix broken code, but they're nowhere near ready to replace human software engineers, according to extensive testing [PDF] by OpenAI researchers. The company's latest study put AI models and systems through their paces on real-world programming tasks, with even the most advanced models solving only a quarter of typical engineering challenges.

The research team created a test called SWE-Lancer, drawing from 1,488 actual software fixes made to Expensify's codebase, representing $1 million worth of freelance engineering work. When faced with these everyday programming tasks, the best AI model â" Claude 3.5 Sonnet -- managed to complete just 26.2% of hands-on coding tasks and 44.9% of technical management decisions.

Though the AI systems proved adept at quickly finding relevant code sections, they stumbled when it came to understanding how different parts of software interact. The models often suggested surface-level fixes without grasping the deeper implications of their changes.

The research, to be sure, used a set of complex methodologies to test the AI coding abilities. Instead of relying on simplified programming puzzles, OpenAI's benchmark uses complete software engineering tasks that range from quick $50 bug fixes to complex $32,000 feature implementations. Each solution was verified through rigorous end-to-end testing that simulated real user interactions, the researchers said.

A new study (PDF) from researchers at Microsoft and Carnegie Mellon University found that increased reliance on AI tools leads to a decline in critical thinking skills. Gizmodo reports: The researchers tapped 319 knowledge workers -- a person whose job involves handling data or information -- and asked them to self-report details of how they use generative AI tools in the workplace. The participants were asked to report tasks that they were asked to do, how they used AI tools to complete them, how confident they were in the AI's ability to do the task, their ability to evaluate that output, and how confident they were in their own ability to complete the same task without any AI assistance.

Over the course of the study, a pattern revealed itself: the more confident the worker was in the AI's capability to complete the task, the more often they could feel themselves letting their hands off the wheel. The participants reported a "perceived enaction of critical thinking" when they felt like they could rely on the AI tool, presenting the potential for over-reliance on the technology without examination. This was especially true for lower-stakes tasks, the study found, as people tended to be less critical. While it's very human to have your eyes glaze over for a simple task, the researchers warned that this could portend to concerns about "long-term reliance and diminished independent problem-solving."

By contrast, when the workers had less confidence in the ability of AI to complete the assigned task, the more they found themselves engaging in their critical thinking skills. In turn, they typically reported more confidence in their ability to evaluate what the AI produced and improve upon it on their own. Another noteworthy finding of the study: users who had access to generative AI tools tended to produce "a less diverse set of outcomes for the same task" compared to those without.

An anonymous reader quotes a report from KrebsOnSecurity: In mid-March 2024, KrebsOnSecurity revealed that the founder of the personal data removal service Onerep also founded dozens of people-search companies. Shortly after that investigation was published, Mozilla said it would stop bundling Onerep with the Firefox browser and wind down its partnership with the company. But nearly a year later, Mozilla is still promoting it to Firefox users. [Using OneRep is problematic because its founder, Dimitri Shelest, also created and maintained ownership (PDF) in multiple people-search and data broker services, including Nuwber, which contradicts OneRep's stated mission of protecting personal online security. Additionally, OneRep appears to have ties with Radaris, a people-search service known for ignoring or failing to honor opt-out requests, raising concerns about the true intentions and effectiveness of OneRep's data removal service.]

In October 2024, Mozilla published a statement saying the search for a different provider was taking longer than anticipated. "While we continue to evaluate vendors, finding a technically excellent and values-aligned partner takes time," Mozilla wrote. "While we continue this search, Onerep will remain the backend provider, ensuring that we can maintain uninterrupted services while we continue evaluating new potential partners that align more closely with Mozilla's values and user expectations. We are conducting thorough diligence to find the right vendor." Asked for an update, Mozilla said the search for a replacement partner continues.

"The work's ongoing but we haven't found the right alternative yet," Mozilla said in an emailed statement. "Our customers' data remains safe, and since the product provides a lot of value to our subscribers, we'll continue to offer it during this process." It's a win-win for Mozilla that they've received accolades for their principled response while continuing to partner with Onerep almost a year later. But if it takes so long to find a suitable replacement, what does that say about the personal data removal industry itself?

Longtime Slashdot reader schwit1 shares a report from Popular Science: In 2021, NASCAR unveiled its Next Gen platform that included a number of rule changes from the previous iteration. Now fully symmetrical and using composite body panels instead of metal, the latest NASCAR vehicles are more like the street versions of the Chevrolet Camaro, the Ford Mustang, and the Toyota TRD Camry. Race car driving isn't an inexpensive sport, and one of the goals for the Next Gen platform was to reduce operating costs and create parity across the board. Technique Chassis, the sole chassis manufacturer for the NASCAR Cup Series, builds a modular offering in three parts. As a result, everyone is starting with the same platform, and finding a competitive advantage is in the tiniest details. One smart way to differentiate from the competition is 3D-printed parts. But this isn't your hobbyist level 3D printing.

Minnesota-based Stratasys specializes in "additive manufacturing," the process of creating an object by building it one layer at a time. Stratasys Senior Global Director of Automotive & Mobility Fadi Abro explains that this term is synonymous with 3D printing. However, the industry often reserves that description for hobby-level projects on smaller, non-industrial printers, while additive manufacturing represents robust industrial solutions. Additive manufacturing is the exact inverse of subtractive manufacturing, which requires cutting away at a solid chunk of material to achieve a final product. In art terms, additive manufacturing would be like sculpting with modeling clay while subtractive is akin to carving a shape from a block of marble. As it relates to NASCAR, Stratasys provides parts like ducts, covers, brackets, and tubing. Together with the racing organization, Stratasys reviews the current driver needs and makes recommendations for other parts and modifications. [...]

The kind of printers Stratasys builds aren't the type you buy at your local electronics store, either. Each industrial-grade 3D printer costs anywhere from $20,000 to $600,000. Using this kind of equipment isn't without precedent, and builds at SEMA's annual extravaganza feature 3D parts we wouldn't have dreamed of a few years ago. [...] In the past few months, Stratasys has been on a roll, signing an extension to its 20-year partnership with the Joe Gibbs Racing team and earning the title of "Official 3D Printing Partner of NASCAR." Competition for this market continues to heat up, however, as there are startups and legacy companies pushing hard. Around the world, 3D printing companies abound. Stratasys has one major factor on its side: 35 years of experience. What's new is that today's printing is more accurate, it's faster, the materials are more robust, Abro says. "I think what's changed drastically over the past five to seven years has been all about material development," Abro explains. "We're seeing materials that are just incredible, whether it's how resistant to heat they are or how strong they are compared to how much they weigh."

"It's better, faster, cheaper. It's faster to print something than to mill it, and then it's certainly cheaper in a multitude of different ways. Number one, there's not as much skill required for 3D printing as there is in CNC machining; you need a more traditional manufacturing method."

Eric Council Jr. pleaded guilty to identity theft and access device fraud after hijacking the SEC's X account to falsely announce Bitcoin ETF approval. He was compensated in Bitcoin by co-conspirators, and while the Justice Department continues its investigation, Council faces up to five years in prison. Gizmodo reports: According to the Justice Department, Council accessed the SEC's account using an attack called SIM swapping, in which a perpetrator uses social engineering to trick a phone carrier's customer service representatives into transferring an individual's phone number to a new device. Basically, they call into a support line and use pieces of personal information about a victim they have gathered online to convince the representative they are the person they are targeting. Once perpetrators take the number and can begin receiving text messages, they are able to reset the passwords of accounts on services like X. It is not really a "hack" in the traditional sense that they are not finding flaws in software but rather exploiting human trust.

Unfortunately for individuals like Council, all Bitcoin transactions are logged on a blockchain for anyone to see, leaving a trail of breadcrumbs for investigators to find. If he did make out with a lot of crypto, it would be hard to keep it hidden forever. Council allegedly did not post the message himself to the SEC's X account, but conducted the SIM swap and left the rest of the work to his co-conspirators who compensated Council in the form of, of course, Bitcoin. The price of the cryptocurrency rose by $1,000 after the fake announcement, according to the Justice Department, and fell by $2,000 after the SEC issued a correction. That could have led to a big windfall depending on how much Bitcoin the perpetrators held at the time.

An anonymous reader quotes a report from Wired: Thomson Reuters has won the first major AI copyright case in the United States. In 2020, the media and technology conglomerate filed an unprecedentedAI copyright lawsuit against the legal AI startup Ross Intelligence. In the complaint, Thomson Reuters claimed the AI firm reproduced materials from its legal research firm Westlaw. Today, a judge ruled (PDF) in Thomson Reuters' favor, finding that the company's copyright was indeed infringed by Ross Intelligence's actions. "None of Ross's possible defenses holds water. I reject them all," wrote US District Court of Delaware judge Stephanos Bibas, in a summary judgement. [...] Notably, Judge Bibas ruled in Thomson Reuters' favor on the question of fair use.

The fair use doctrine is a key component of how AI companies are seeking to defend themselves against claims that they used copyrighted materials illegally. The idea underpinning fair use is that sometimes it's legally permissible to use copyrighted works without permission -- for example, to create parody works, or in noncommercial research or news production. When determining whether fair use applies, courts use a four-factor test, looking at the reason behind the work, the nature of the work (whether it's poetry, nonfiction, private letters, et cetera), the amount of copyrighted work used, and how the use impacts the market value of the original. Thomson Reuters prevailed on two of the four factors, but Bibas described the fourth as the most important, and ruled that Ross "meant to compete with Westlaw by developing a market substitute." "If this decision is followed elsewhere, it's really bad for the generative AI companies," says James Grimmelmann, Cornell University professor of digital and internet law.

Chris Mammen, a partner at Womble Bond Dickinson who focuses on intellectual property law, adds: "It puts a finger on the scale towards holding that fair use doesn't apply."

Leading cybersecurity researchers at DEF CON, the world's largest hacker conference, have warned that current methods for securing AI systems are fundamentally flawed and require a complete rethink, according to the conference's inaugural "Hackers' Almanack" report [PDF].

The report, produced with the University of Chicago's Cyber Policy Initiative, challenges the effectiveness of "red teaming" -- where security experts probe AI systems for vulnerabilities -- saying this approach alone cannot adequately protect against emerging threats. "Public red teaming an AI model is not possible because documentation for what these models are supposed to even do is fragmented and the evaluations we include in the documentation are inadequate," said Sven Cattell, who leads DEF CON's AI Village.

Nearly 500 participants tested AI models at the conference, with even newcomers successfully finding vulnerabilities. The researchers called for adopting frameworks similar to the Common Vulnerabilities and Exposures (CVE) system used in traditional cybersecurity since 1999. This would create standardized ways to document and address AI vulnerabilities, rather than relying on occasional security audits.

An anonymous reader quotes a report from Ars Technica: Two owners of Nvidia's new RTX 5090 Founders Edition GPUs have reported melted power connectors and damage to their PSUs. The images look identical to reports of RTX 4090 power cables burning or melting from two years ago. Nvidia blamed the issue on people not properly plugging the 12VHPWR power connection in fully and the PCI standards body blamed Nvidia.

A Reddit poster upgraded from an RTX 4090 to an RTX 5090 and noticed "a burning smell playing Battlefield 5," before turning off their PC and finding the damage. The images show burnt plastic at both the PSU end of the power connector and the part that connects directly to the GPU. The cable is one from MODDIY, a popular manufacturer of custom cables, and the poster claims it was "securely fastened and clicked on both sides (GPU and PSU)." While it's tempting to blame the MODDIY cable, Spanish YouTuber Toro Tocho has experienced the same burnt cable (both at the GPU and PSU ends) with an RTX 5090 Founders Edition while using a cable supplied by PSU manufacturer FSP. Plastic has also melted into the PCIe 5.0 power connector on the power supply.

Keynotes at this year's FOSDEM included free AI models and systemd, reports Heise.de — and also a progress report from Miguel Ojeda, supervisor of the Rust integration in the Linux kernel. Only eight people remain in the core team around Rust for Linux... Miguel Ojeda therefore launched a survey among kernel developers, including those outside the Rust community, and presented some of the more important voices in his FOSDEM talk. The overall mood towards Rust remains favorable, especially as Linus Torvalds and Greg Kroah-Hartman are convinced of the necessity of Rust integration. This is less about rapid progress and more about finding new talent for kernel development in the future.
The reaction was mostly positive, judging by Ojeda's slides:

- "2025 will be the year of Rust GPU drivers..." — Daniel Almedia

- "I think the introduction of Rust in the kernel is one of the most exciting development experiments we've seen in a long time." — Andrea Righi

- "[T]he project faces unique challenges. Rust's biggest weakness, as a language, is that relatively few people speak it. Indeed, Rust is not a language for beginners, and systems-level development complicates things even more. That said, the Linux kernel project has historically attracted developers who love challenging software — if there's an open source group willing to put the extra effort for a better OS, it's the kernel devs." — Carlos Bilbao

- "I played a little with [Rust] in user space, and I just absolutely hate the cargo concept... I hate having to pull down other code that I do not trust. At least with shared libraries, I can trust a third party to have done the build and all that... [While Rust should continue to grow in the kernel], if a subset of C becomes as safe as Rust, it may make Rust obsolete..." Steven Rostedt

Rostedt wasn't sure if Rust would attract more kernel contributors, but did venture this opinion. "I feel Rust is more of a language that younger developers want to learn, and C is their dad's language."

But still "contention exists within the kernel development community between those pro-Rust and -C camps," argues The New Stack, citing the latest remarks from kernel maintainer Christoph Hellwig (who had earlier likened the mixing of Rust and C to cancer). Three days later Hellwig reiterated his position again on the Linux kernel mailing list: "Every additional bit that another language creeps in drastically reduces the maintainability of the kernel as an integrated project. The only reason Linux managed to survive so long is by not having internal boundaries, and adding another language completely breaks this. You might not like my answer, but I will do everything I can do to stop this. This is NOT because I hate Rust. While not my favourite language it's definitively one of the best new ones and I encourage people to use it for new projects where it fits. I do not want it anywhere near a huge C code base that I need to maintain."
But the article also notes that Google "has been a staunch supporter of adding Rust to the kernel for Linux running in its Android phones." The use of Rust in the kernel is seen as a way to avoid memory vulnerabilities associated with C and C++ code and to add more stability to the Android OS. "Google's wanting to replace C code with Rust represents a small piece of the kernel but it would have a huge impact since we are talking about billions of phones," Ojeda told me after his talk.

In addition to Google, Rust adoption and enthusiasm for it is increasing as Rust gets more architectural support and as "maintainers become more comfortable with it," Ojeda told me. "Maintainers have already told me that if they could, then they would start writing Rust now," Ojeda said. "If they could drop C, they would do it...."

Amid the controversy, there has been a steady stream of vocal support for Ojeda. Much of his discussion also covered statements given by advocates for Rust in the kernel, ranging from lead developers of the kernel and including Linux creator Linus Torvalds himself to technology leads from Red Hat, Samsung, Google, Microsoft and others.

Twisting two atomically thin sheets of graphene enables "a host of exceptional properties," writes MIT News, "including unconventional superconductivity." (Which makes this graphene "a promising building block for future quantum-computing devices.")

And now "We find the superfluid stiffness to be much larger than expected..." a team of researchers reported this week in Nature. Hackaday explains that "Part of the problem has been that it is hard to make large pieces of multi-layer graphene. By creating two-ply pieces and using special techniques, an international team is finding that quantum geometry explains how graphene superconductors resist changes in current flow more readily than conventional superconductors."

Or, as Science Alert puts it, "Forced to run a labyrinth of carbon atoms uniquely arranged in twisted stacks, electrons do some rather peculiar things." Researchers from the University of British Columbia in Canada, the University of Washington and Johns Hopkins University in the US, and the National Institute for Materials Science in Japan recently discovered a strange new state of matter in the dynamics of currents flowing through layers of graphene.

The findings confirm predictions on how electrons ought to behave when squeezed into crystalline arrangements, and may contribute fresh ideas on how to achieve reliable approaches to quantum computing or reveal ways to develop room-temperature superconduction... Graphene has been increasingly seen as something of a wonder material over recent decades, its lattice of carbon atoms connected in a way that leaves spare electrons to leap about like tokens in a game of quantum checkers. Physicists have consistently bent the rules of this game, finding new and unusual ways to alter properties of resistance or coordinate into exotic states. For these reasons, graphene has become a perfect playground to search for clues on low-resistance conductivity or test the boundaries of various quantum effects.
This week MIT research scientist Joel Wang (a co-lead on the study) said "There's a whole family of 2D superconductors that is waiting to be probed, and we are really just scratching the surface." New Scientist explores where their research could lead: Why do cold thin sheets of carbon offer no resistance to electric currents? Two experiments are bringing us closer to an answer — and maybe even to practical room-temperature superconductors... Past experiments have shown that very cold stacks of two or three layers of graphene can superconduct, or perfectly conduct electricity without resistance and energy loss, if some of the sheets are rotated by a special angle. But why this happens remained mysterious... [B]oth teams had to innovate a setup where the tiny graphene flakes were exposed to microwaves while the researchers slowly varied properties like temperature, which must be kept very low for superconductivity to occur at all...

"We are finding interesting laws which seem to emerge in both these material systems. Maybe what we are uncovering is something deeper," says [Harvard postdoctoral researcher Abhishek Banerjee]. Both teams are planning on performing similar experiments with other very thin superconductors.

In 2022, writer and activist Cory Doctorow coined the term "enshittification" to describe the gradual deterioration of a service or product. The term's prevalence has increased to the point that it was the National Dictionary of Australia's word of the year last year. The editors at Ars Technica, having "covered a lot of things that have been enshittified," decided to highlight some of the worst examples the've come across. Here's a summary of each thing mentioned in their report: Smart TVs: Evolved into data-collecting billboards, prioritizing advertising and user tracking over user experience and privacy. Features like convenient input buttons are sacrificed for pushing ads and webOS apps. "This is all likely to get worse as TV companies target software, tracking, and ad sales as ways to monetize customers after their TV purchases -- even at the cost of customer convenience and privacy," writes Scharon Harding. "When budget brands like Roku are selling TV sets at a loss, you know something's up."

Google's Voice Assistant (e.g., Nest Hubs): Functionality has degraded over time, with previously working features becoming unreliable. Users report frequent misunderstandings and unresponsiveness. "I'm fine just saying it now: Google Assistant is worse now than it was soon after it started," writes Kevin Purdy. "Even if Google is turning its entire supertanker toward AI now, it's not clear why 'Start my morning routine,' 'Turn on the garage lights,' and 'Set an alarm for 8 pm' had to suffer."

Portable Document Format (PDF): While initially useful for cross-platform document sharing and preserving formatting, PDFs have become bloated and problematic. Copying text, especially from academic journals, is often garbled or impossible. "Apple, which had given the PDF a reprieve, has now killed its main selling point," writes John Timmer. "Because Apple has added OCR to the MacOS image display system, I can get more reliable results by screenshotting the PDF and then copying the text out of that. This is the true mark of its enshittification: I now wish the journals would just give me a giant PNG."

Televised Sports (specifically cycling and Formula 1): Streaming services have consolidated, leading to significantly increased costs for viewers. Previously affordable and comprehensive options have been replaced by expensive bundles across multiple platforms. "Formula 1 racing has largely gone behind paywalls, and viewership is down significantly over the last 15 years," writes Eric Berger. "Major US sports such as professional and college football had largely been exempt, but even that is now changing, with NFL games being shown on Peacock, Amazon Prime, and Netflix. None of this helps viewers. It enshittifies the experience for us in the name of corporate greed."

Google Search: AI overviews often bury relevant search results under lengthy, sometimes inaccurate AI-generated content. This makes finding specific information, especially primary source documents, more difficult. "Google, like many big tech companies, expects AI to revolutionize search and is seemingly intent on ignoring any criticism of that idea," writes Ashley Belanger.

Email AI Tools (e.g., Gemini in Gmail): Intrusive and difficult to disable, these tools offer questionable value due to their potential for factual inaccuracies. Users report being unable to fully opt-out. "Gmail won't take no for an answer," writes Dan Goodin. "It keeps asking me if I want to use Google's Gemini AI tool to summarize emails or draft responses. As the disclaimer at the bottom of the Gemini tool indicates, I can't count on the output being factual, so no, I definitely don't want it."

Windows: While many complaints about Windows 11 originated with Windows 10, the newer version continues the trend of unwanted features, forced updates, and telemetry data collection. Bugs and performance issues also plague the operating system. "... it sure is easy to resent Windows 11 these days, between the well-documented annoyances, the constant drumbeat of AI stuff (some of it gated to pricey new PCs), and a batch of weird bugs that mostly seem to be related to the under-the-hood overhauls in October's Windows 11 24H2 update," writes Andrew Cunningham. "That list includes broken updates for some users, inoperable scanners, and a few unplayable games. With every release, the list of things you need to do to get rid of and turn off the most annoying stuff gets a little longer."

Web Discourse: The rapid spread of memes, trends, and corporate jargon on social media has led to a homogenization of online communication, making it difficult to distinguish original content and creating a sense of constant noise. "[T]he enshittifcation of social media, particularly due to its speed and virality, has led to millions vying for their moment in the sun, and all I see is a constant glare that makes everything look indistinguishable," writes Jacob May. "No wonder some companies think AI is the future."

Americans quit 39.6 million jobs in 2024, an 11% drop from 2023 and 22% below the 2022 peak, Labor Department data showed Tuesday, signaling an end to the post-pandemic job-switching frenzy. The monthly quit rate fell below pre-pandemic levels as workers faced diminishing options in a cooling labor market. Available positions per unemployed worker dropped to 1.1 from 2 in March 2022, while hiring declined to a monthly average of 3.5% in 2024 from 4.4% in 2021.

Total hiring fell to 66 million in 2024 from 71 million in 2023, though the job market remained stable. The unemployment rate held at 4.1%, with economists expecting steady job growth in Friday's upcoming labor report. The Conference Board's latest survey showed fewer respondents viewing jobs as plentiful compared to the early 2020s, with more reporting difficulties finding work.

Thursday America's FDA "raised concerns about cybersecurity vulnerabilities" in patient monitors from China-based medical device company Contec "that could allow unauthorized individuals to access and potentially manipulate those devices," reports Reuters. The patient monitors could be remotely controlled by unauthorized users or may not function as intended, and the network to which these devices are connected could be compromised, the agency warned. The FDA also said that once these devices are connected to the internet, they can collect patient data, including personally identifiable information and protected health information, and can export this data out of the healthcare delivery environment.

The agency, however, added that it is currently unaware of any cybersecurity incidents, injuries, or deaths related to these identified cybersecurity vulnerabilities.
The FDA's announcement says "The software on the patient monitors includes a backdoor, which may mean that the device or the network to which the device has been connected may have been or could be compromised." And it offers this advice to caregivers and patients: If your health care provider confirms that your device relies on remote monitoring features, unplug the device and stop using it. Talk to your health care provider about finding an alternative patient monitor.

If your device does not rely on remote monitoring features, use only the local monitoring features of the patient monitor. This means unplugging the device's ethernet cable and disabling wireless (that is, WiFi or cellular) capabilities, so that patient vital signs are only observed by a caregiver or health care provider in the physical presence of a patient. If you cannot disable the wireless capabilities, unplug the device and stop using it. Talk to your health care provider about finding an alternative patient monitor.
A detailed report from CISA describes how a research team "created a simulated network, created a fake patient profile, and connected a blood pressure cuff, SpO2 monitor, and ECG monitor peripherals to the patient monitor. Upon startup, the patient monitor successfully connected to the simulated IP address and immediately began streaming patient data..." to an IP address that hard-coded into the backdoor function. "Sensor data from the patient monitor is also transmitted to the IP address in the same manner. If the routine to connect to the hard-coded IP address and begin transmitting patient data is called, it will automatically initialize the eth0 interface in the same manner as the backdoor. This means that even if networking is not enabled on startup, running this routine will enable networking and thereby enable this functionality

Nearly three years ago a team of Chinese AI engineers working for DeepSeek's parent company unveiled an earlier AI supercomputer that the Washington Post says was constructed from 10,000 A100 GPUs purchased from Nvidia. Roughly six months later "Washington had banned Nvidia from selling any more A100s to China," the article notes.

Remember that number as you read this. 10,000 A100 GPUs... DeepSeek's new chatbot caused a panic in Silicon Valley and on Wall Street this week, erasing $1 trillion from the stock market. That impact stemmed in large part from the company's claim that it had trained one of its recent models on a minuscule $5.6 million in computing costs and with only 2,000 or so of Nvidia's less-advanced H800 chips.

Nvidia saw its soaring value crater by $589 billion Monday as DeepSeek rocketed to the top of download charts, prompting President Donald Trump to call for U.S. industry to be "laser focused" on competing... But a closer look at DeepSeek reveals that its parent company deployed a large and sophisticated chip set in its supercomputer, leading experts to assess the total cost of the project as much higher than the relatively paltry sum that U.S. markets reacted to this week... Lennart Heim, an AI expert at Rand, said DeepSeek's evident access to [the earlier] supercomputer would have made it easier for the company to develop a more efficient model, requiring fewer chips.
That earlier project "suggests that DeepSeek had a major boost..." according to the article, "with technology comparable to that of the leading U.S. AI companies." And while DeepSeek claims it only spent $5.6 million to train one of its advanced models, "its parent company has said that building the earlier supercomputer had cost 1 billion yuan, or $139 million.") Yet the article also cites the latest insights Friday from chip investment company SemiAnalysis, summarizing their finding that DeepSeek "has spent more than half a billion dollars on GPUs, with total capital expenditures of almost $1.3 billion."

The article notes Thursday remarks by OpenAI CEO Sam Altman that DeepSeek's energy-efficiency claims were "wildly overstated... This is a model at a capability level that we had quite some time ago." And Palmer Luckey called DeepSeek "legitimately impressive" on X but called the $5.6 million training cost figure "bogus" and said the Silicon Valley meltdown was "hysteria." Even with these higher total costs in mind, experts say, U.S. companies are right to be concerned about DeepSeek upending the market. "We know two things for sure: DeepSeek is pricing their services very competitively, and second, the performance of their models is comparable to leading competitors," said Kai-Shen Huang, an AI expert at the Research Institute for Democracy, Society and Emerging Technology, a Taipei-based think tank. "I think DeepSeek's pricing strategy has the potential to disrupt the market globally...."

China's broader AI policy push has helped create an environment conducive for a company like DeepSeek to rise. Beijing announced an ambitious AI blueprint in 2017, with a goal to become a global AI leader by 2030 and promises of funding for universities and private enterprise. Local governments across the nation followed with their own programs to support AI.

Bruce66423 shares a report from the Associated Press: Federal officials on Thursday approved a new type of pain pill designed to eliminate the risks of addiction and overdose associated with opioid medications such as Vicodin and OxyContin. "It's the first new pharmaceutical approach to treating pain in more than 20 years, offering an alternative to opioids and over-the-counter medications such as ibuprofen and acetaminophen. But the medication's modest effectiveness and lengthy development process underscore the challenges of finding new ways to manage pain.

Studies in more than 870 patients with acute pain due to foot and abdominal surgeries showed Vertex's drug provided more relief than a dummy pill but didn't outperform a common opioid-acetaminophen combination pill. "It's not a slam dunk on effectiveness," said Michael Schuh of the Mayo Clinic, a pharmacist and pain medicine expert who was not involved in the research. "But it is a slam dunk in that it's a very different pathway and mechanism of action. So, I think that shows a lot promise." The new drug will carry a list price of $15.50 per pill, making it many times more expensive than comparable opioids, which are often available as generics for $1 or less. [...]

Opioids reduce pain by binding to receptors in the brain that receive nerve signals from different parts of the body. Those chemical interactions also give rise to opioids' addictive effects. Vertex's drug works differently, blocking proteins that trigger pain signals that are later sent to the brain. "In trying to develop medicines that don't have the addictive risks of opioid medicines, a key factor is working to block pain signaling before it gets to the brain," Vertex's Dr. David Altshuler, told The Associated Press last year. Commonly reported side effects with the drug were nausea, constipation, itching, rash and headache.

Apple has canceled a project to build advanced augmented reality glasses that would pair with its devices, Bloomberg reported Friday, marking the latest setback in its effort to create a headset that appeals to typical consumers. From the report: The company shuttered the program this week, according to people with knowledge of the move. The now-canceled product would have looked like normal glasses but include built-in displays and require a connection to a Mac, said the people, who asked not to be identified because the work wasn't public.

The project had been seen as a potential way forward after the weak introduction of the Apple Vision Pro, a $3,499 model that was too cumbersome and pricey to catch on with consumers. The hope was to produce something that everyday users could embrace, but finding the right technology -- at the right cost -- has proven to be a challenge.

Dell is the latest tech company to announce it's ending its hybrid and remote work policy. From a report: Starting March 3rd, Dell employees will have to show up in person five days a week. In an email obtained by Business Insider, CEO Michael Dell writes that 'all hybrid and remote team members who live near a Dell office will work in the office five days a week. We are retiring the hybrid policy effective that day.'

"What we're finding is that for all the technology in the world, nothing is faster than the speed of human interaction. A thirty second conversation can replace an email back-and-forth that goes on for hours or even days," Dell writes. Despite this mandate, Dell also continues to sell remote work solutions, noting that remote work offers "benefits such as flexibility, reduced commute times, and cost savings for employees, while employers can access a broader talent pool, reduce overhead costs, and increase productivity."