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An anonymous reader shared this report from the Guardian: Thousands of artists are urging the auction house Christie's to cancel a sale of art created with artificial intelligence, claiming the technology behind the works is committing "mass theft". The Augmented Intelligence auction has been described by Christie's as the first AI-dedicated sale by a major auctioneer and features 20 lots with prices ranging from $10,000 to $250,000... The British composer Ed Newton-Rex, a key figure in the campaign by creative professionals for protection of their work and a signatory to the letter, said at least nine of the works appearing in the auction appeared to have used models trained on artists' work. However, other pieces in the auction do not appear to have used such models. A spokesperson for Christie's said that "in most cases" the AI used to create art in the auction had been trained on the artists' "own inputs". More than 6,000 people have now signed the letter, which states point-blank that "Many of the artworks you plan to auction were created using AI models that are known to be trained on copyrighted work without a license." These models, and the companies behind them, exploit human artists, using their work without permission or payment to build commercial AI products that compete with them. Your support of these models, and the people who use them, rewards and further incentivizes AI companies' mass theft of human artists' work. We ask that, if you have any respect for human artists, you cancel the auction. Last week ARTnews spoke to Nicole Sales Giles, Christie's vice-president and director of digital art sales (before the open letter was published). And Giles insisted one of the major themes of the auction is "that AI is not a replacement for human creativity." "You can see a lot of human agency in all of these works," Giles said. "In every single work, you're seeing a collaboration between an AI model, a robot, or however the artist has chosen to incorporate AI. It is showing how AI is enhancing creativity and not becoming a substitute for it." One of the auction's headline lots is a 12-foot-tall robot made by Matr Labs that is guided by artist Alexander Reben's AI model. It will paint a new section of a canvas live during the sale every time the work receives a bid. Reben told ARTnews that he understands the frustrations of artists regarding the AI debate, but he sees "AI as an incredible tool... AI models which are trained on public data are done so under the idea of 'fair use,' just as search engines once faced scrutiny for organizing book data (which was ultimately found to fall under fair use)," he said.... "AI expands creative potential, offering new ways to explore, remix, and evolve artistic expression rather than replace it. The future of art isn't about AI versus artists — it's about how artists wield AI to push boundaries in ways we've never imagined before...." Digital artist Jack Butcher has used the open letter to create a minted digital artwork called Undersigned Artists. On X he wrote that the work "takes a collective act of dissent — an appeal to halt an AI art auction — and turns it into the very thing it resists: a minted piece of digital art. The letter, originally a condemnation of AI-generated works trained on unlicensed human labor, now becomes part of the system it critiques." Christie's will accept cryptocurrency payments for the majority of lots in the sale.

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Last June two NASA astronauts flew to the International Space Station on the first crewed test flight of Boeing's Starliner. But they aren't stranded there, and they weren't abandoned, the astronauts reminded CNN this week in a rare space-to-earth interview: "That's been the rhetoric. That's been the narrative from day one: stranded, abandoned, stuck — and I get it. We both get it," [NASA astronaut Butch] Wilmore said. "But that is, again, not what our human spaceflight program is about. We don't feel abandoned, we don't feel stuck, we don't feel stranded." Wilmore added a request: "If you'll help us change the rhetoric, help us change the narrative. Let's change it to 'prepared and committed.' "That's what we prefer," he said... [NASA astronaut Suni] Williams also reiterated a sentiment she has expressed on several occasions, including in interviews conducted before she left Earth. "Butch and I knew this was a test flight," she told CNN's Cooper, acknowledging the pair has been prepared for contingencies and understood that the stay in space might be extended. "We knew that we would probably find some things (wrong with Starliner) and we found some stuff, and so that was not a surprise," she said. When Cooper opened the interview by asking the astronauts how they're doing, Williams answers "We're doing pretty darn good, actually," pointing out they had plenty of food and great crew members. And Wilmore added that crews come to the space station on a careful cycle, and "to alter that cycle sends ripple effects all the way down the chain. We would never expect to come back just special for us or anyone unless it was a medical issue or something really out of the circumstances along those lines. So we need to come back and keep the normal cycle going..." CNN's article notes a new announcement from NASA Tuesday that the astronauts might return a couple weeks early "after opting to change the SpaceX Crew Dragon capsule it will use." That mission's targeted launch date is now March 12. In the meantime, Williams says in the interview, "We do have some internet connection up here, so we can get some internet live. We've gotten football. It's been this crew's go-to this past fall. Also YouTube or something like that. It's not continuous — it has chunks of time that we get it. And we use that same system also to make phone calls home, so we can talk to our families, and do videoconferences even on the weekends as well. This place is a pretty nice place to live, for the most part." And they're also "working on with folks on the ground" to test the NASA's cube-shaped, free-flying robotic Astrobees.

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Remember Jeep's new in-dash pop-up ads which reportedly appeared every time you stopped? "Since I'm a journalist, or at least close enough, I decided that I should at least get Stellantis/Jeep's side of things," writes car-culture site The Autopian: Would Stellantis do something so woefully misguided and annoying? I reached out to our Stellantis/Jeep contact to ask and was initially told that they were "investigating" on their end, which to me felt like a stalling tactic while the proper ass-covering plans were conceived. I eventually got this response from a Stellantis spokesperson: "This was an in-vehicle message designed to inform Jeep customers about Mopar extended vehicle care options. A temporary software glitch affected the ability to instantly opt out in a few isolated cases, though instant opt-out is the standard for all our in-vehicle messages. Our team had already identified and corrected the error, and we are following up directly with the customer to ensure the matter is fully resolved..." I suppose a glitch is possible, though I've not seen any examples of this ad popping up with the instant opt-out option available, but I guess it must exist, since not all Jeep owners seem to have had to deal with these ads. I suspect if this was happening to more people than these "few isolated cases" we'd still be cleaning up from the aftermath of the riots and uprisings. Because, as they write, "Really, I can't think of a quicker way to incur the wrath of nearly every human..."

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According to The Intercept, the IRS is set to purchase an Nvidia SuperPod AI supercomputer to enhance its machine learning capabilities for tasks like fraud detection and taxpayer behavior analysis. From the report: With Elon Musk's so-called Department of Government Efficiency installing itself at the IRS amid a broader push to replace federal bureaucracy with machine-learning software, the tax agency's computing center in Martinsburg, West Virginia, will soon be home to a state-of-the-art Nvidia SuperPod AI computing cluster. According to the previously unreported February 5 acquisition document, the setup will combine 31 separate Nvidia servers, each containing eight of the company's flagship Blackwell processors designed to train and operate artificial intelligence models that power tools like ChatGPT. The hardware has not yet been purchased and installed, nor is a price listed, but SuperPod systems reportedly start at $7 million. The setup described in the contract materials notes that it will include a substantial memory upgrade from Nvidia. Though small compared to the massive AI-training data centers deployed by companies like OpenAI and Meta, the SuperPod is still a powerful and expensive setup using the most advanced technology offered by Nvidia, whose chips have facilitated the global machine-learning spree. While the hardware can be used in many ways, it's marketed as a turnkey means of creating and querying an AI model. Last year, the MITRE Corporation, a federally funded military R&D lab, acquired a $20 million SuperPod setup to train bespoke AI models for use by government agencies, touting the purchase as a "massive increase in computing power" for the United States. How exactly the IRS will use its SuperPod is unclear. An agency spokesperson said the IRS had no information to share on the supercomputer purchase, including which presidential administration ordered it. A 2024 report by the Treasury Inspector General for Tax Administration identified 68 different AI-related projects underway at the IRS; the Nvidia cluster is not named among them, though many were redacted. But some clues can be gleaned from the purchase materials. "The IRS requires a robust and scalable infrastructure that can handle complex machine learning (ML) workloads," the document explains. "The Nvidia Super Pod is a critical component of this infrastructure, providing the necessary compute power, storage, and networking capabilities to support the development and deployment of large-scale ML models." The document notes that the SuperPod will be run by the IRS Research, Applied Analytics, and Statistics division, or RAAS, which leads a variety of data-centric initiatives at the agency. While no specific uses are cited, it states that this division's Compliance Data Warehouse project, which is behind this SuperPod purchase, has previously used machine learning for automated fraud detection, identity theft prevention, and generally gaining a "deeper understanding of the mechanisms that drive taxpayer behavior."

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A new study suggests that frequent consumption of food from plastic takeout containers significantly increases the risk of congestive heart failure due to gut biome changes that trigger inflammation and circulatory damage. The Guardian reports: The authors used a two-part approach, first looking into the frequency with which over 3,000 people in China ate from plastic takeout containers, and whether they had heart disease. They then exposed rats to plastic chemicals in water that was boiled and poured in carryout containers to extract chemicals. "The data revealed that high-frequency exposure to plastics is significantly associated with an increased risk of congestive heart failure," the authors wrote. [...] They put boiling water in the containers for one, five or 15 minutes because plastic chemicals leach at much higher rates when hot contents are placed in containers -- the study cited previous research that found as many as 4.2m microplastic particles per sq cm can leach from plastic containers that are microwaved. The authors then gave rats the water contaminated with leachate to drink for several months, then analyzed the gut biome and metabolites in the feces. It found notable changes. "It indicated that ingestion of these leachates altered the intestinal microenvironment, affected gut microbiota composition, and modified gut microbiota metabolites, particularly those linked to inflammation and oxidative stress," the authors wrote. They then checked the rats' heart muscle tissue and found it had been damaged. The study did not find a statistical difference in the changes and damage among rats that were exposed to water that had been in contact with plastic for one minute versus five or fifteen. The study has been published in the journal Ecotoxicology and Environmental Safety.

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Leveraging AI tools like RFDiffusion and PLACER, researchers were able to design a novel enzyme capable of breaking down plastic by targeting ester bonds, a key component in polyester. Ars Technica reports: The researchers started out by using the standard tools they developed to handle protein design, including an AI tool named RFDiffusion, which uses a random seed to generate a variety of protein backgrounds. In this case, the researchers asked RFDiffusion to match the average positions of the amino acids in a family of ester-breaking enzymes. The results were fed to another neural network, which chose the amino acids such that they'd form a pocket that would hold an ester that breaks down into a fluorescent molecule so they could follow the enzyme's activity using its glow. Of the 129 proteins designed by this software, only two of them resulted in any fluorescence. So the team decided they needed yet another AI. Called PLACER, the software was trained by taking all the known structures of proteins latched on to small molecules and randomizing some of their structure, forcing the AI to learn how to shift things back into a functional state (making it a generative AI). The hope was that PLACER would be trained to capture some of the structural details that allow enzymes to adopt more than one specific configuration over the course of the reaction they were catalyzing. And it worked. Repeating the same process with an added PLACER screening step boosted the number of enzymes with catalytic activity by over three-fold. Unfortunately, all of these enzymes stalled after a single reaction. It turns out they were much better at cleaving the ester, but they left one part of it chemically bonded to the enzyme. In other words, the enzymes acted like part of the reaction, not a catalyst. So the researchers started using PLACER to screen for structures that could adopt a key intermediate state of the reaction. This produced a much higher rate of reactive enzymes (18 percent of them cleaved the ester bond), and two -- named "super" and "win" -- could actually cycle through multiple rounds of reactions. The team had finally made an enzyme. By adding additional rounds alternating between structure suggestions using RFDiffusion and screening using PLACER, the team saw the frequency of functional enzymes increase and eventually designed one that had an activity similar to some produced by actual living things. They also showed they could use the same process to design an esterase capable of digesting the bonds in PET, a common plastic. The research has been published in the journal Science.

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Bruce66423 shares a report from The Guardian: Microscopic particles emitted from brake pads can be more toxic than those emitted in diesel vehicle exhaust, a study has found. This research shows that even with a move to electric vehicles, pollution from cars may not be able to be eradicated. The researchers found that a higher concentration of copper in some commonly used brake pads was associated with increased harmful effects on sensitive cells from people's lungs, as a result of particles being breathed in. Exposure to pollution generated by cars, vans and lorries has been previously been linked to an increased risk of lung and heart disease. While past attention has mainly concentrated on exhaust emissions, particles are also released into the air from tyre, road and brake pad wear. These emissions are largely unregulated by legislation and the study found that these âoenon-exhaustâ pollution sources are now responsible for the majority of vehicle particulate matter emissions in the UK and parts of Europe, with brake dust the main contributor among them. [...] The scientists examined the effects on lung health of particulate matter from four different types of brake pad with differing chemical compositions; low metallic, semi-metallic, non-asbestos organic and hybrid-ceramic. Results showed that of the four types of brake pads, non-asbestos organic pads were the most potent at inducing inflammation and other markers of toxicity, and were found to be more toxic to human lung cells than diesel exhaust particles. Ceramic pads were the second most toxic. Dr. Ian Mudway, senior lecturer at the school of public health at Imperial College London, cautioned that while the research on brake pad emissions appears sound, it is premature to conclude they are worse than diesel exhaust due to "uncontrolled variables" like brake disc types and particle composition. Slashdot reader Bruce66423 also notes it "doesn't discuss the significance of regenerative breaking, which is a feature of at least some electric cars [that reduces brake pad wear by using the electric motor to slow down the vehicle and recover energy]." The research has been published in the journal Particle and Fibre Technology.

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Most virtual meeting platforms these days include AI-powered notetaking tools or bots that join meetings as guests, transcribe discussions, and/or summarize key points. "The tech companies behind them might frame it as a step forward in efficiency, but the technology raises troubling questions around etiquette and privacy and risks undercutting the very communication it's meant to improve (paywalled; alternative source)," writes Chris Stokel-Walker in a Weekend Essay for Bloomberg. From the article: [...] The push to document every workplace interaction and utterance is not new. Having a paper trail has long been seen as a useful thing, and a record of decisions and action points is arguably what makes a meeting meaningful. The difference now is the inclusion of new technology that lacks the nuance and depth of understanding inherent to human interaction in a meeting room. In some ways, the prior generation of communication tools, such as instant messaging service Slack, created its own set of problems. Messaging that previously passed in private via email became much more transparent, creating a minefield where one wrong word or badly chosen emoji can explode into a dispute between colleagues. There is a similar risk with notetaking tools. Each utterance documented and analyzed by AI includes the potential for missteps and misunderstandings. Anyone thinking of bringing an AI notetaker to a meeting must consider how other attendees will respond, says Andrew Brodsky, assistant professor of management at the McCombs School of Business, part of the University of Texas at Austin. Colleagues might think you want to better focus on what is said without missing out on a definitive record of the discussion. Or they might think, "You can't be bothered to take notes yourself or remember what was being talked about," he says. For the companies that sell these AI interlopers, the upside is clear. They recognize we're easily nudged into different behaviors and can quickly become reliant on tools that we survived without for years. [...] There's another benefit for tech companies getting us hooked on AI notetakers: Training data for AI systems is increasingly hard to come by. Research group Epoch AI forecasts there will be a drought of usable text possibly by next year. And with publishers unleashing lawsuits against AI companies for hoovering up their content, the tech firms are on the hunt for other sources of data. Notes from millions of meetings around the world could be an ideal option. For those of us who are the source of such data, however, the situation is more nuanced. The key question is whether AI notetakers make office meetings more useless than so many already are. There's an argument that meetings are an important excuse for workers to come together and talk as human beings. All that small talk is where good ideas often germinate -- that's ostensibly why so many companies are demanding staff return to the office. But if workers trade in-person engagement for AI readbacks, and colleagues curb their words and ideas for fear of being exposed by bots, what's left? If the humans step back, all that remains is a series of data points and more AI slop polluting our lives.

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New York City's Department of Transportation is offering delivery workers the opportunity to swap out uncertified e-bikes for safer UL-compliant models. "Millions of people rely on such workers for timely deliveries, yet the low wages and brutal conditions of the job have forced many riders to seek out low-cost electric bicycles to perform the work -- exactly the kind of e-bikes that are least likely to have received safety certifications," reports Electrek. From the report: The NYC DOT has already begun accepting applications for the new E-Bike Trade-In Program, which is open to delivery workers with non-compliant electric bicycles as well as the often-seen electric scooters/mopeds that don't really qualify as e-bikes, despite their ubiquitous use in the industry. Interestingly, the program even accepts gasoline-powered mopeds that are not able to be legally registered with the DMV, including those that lack VINs. In exchange for trading in a non-certified vehicle, the delivery worker will receive a new UL-certified electric bike with a spare UL-certified battery. There are a few requirements for eligibility. The worker has to have earned at least US $1,500 by working in the food delivery industry last year in 2024, live in one of the five New York City boroughs, be at least 18 years old, and own/use one of the eligible devices for trade-in. The program is free to participate in with no additional cost for the delivery workers. However, the supply of free electric bicycles is described as "limited." Those interested need to submit an application before the window closes on March 10, 2025.

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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.

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An anonymous reader quotes a report from VentureBeat: A new startup PIN AI (not to be confused with the poorly reviewed hardware device the AI Pin by Humane) has emerged from stealth to launch its first mobile app, which lets a user select an underlying open-source AI model that runs directly on their smartphone (iOS/Apple iPhone and Google Android supported) and remains private and totally customized to their preferences. Built with a decentralized infrastructure that prioritizes privacy, PIN AI aims to challenge big tech's dominance over user data by ensuring that personal AI serves individuals -- not corporate interests. Founded by AI and blockchain experts from Columbia, MIT and Stanford, PIN AI is led by Davide Crapis, Ben Wu and Bill Sun, who bring deep experience in AI research, large-scale data infrastructure and blockchain security. [...] PIN AI introduces an alternative to centralized AI models that collect and monetize user data. Unlike cloud-based AI controlled by large tech firms, PIN AI's personal AI runs locally on user devices, allowing for secure, customized AI experiences without third-party surveillance. At the heart of PIN AI is a user-controlled data bank, which enables individuals to store and manage their personal information while allowing developers access to anonymized, multi-category insights -- ranging from shopping habits to investment strategies. This approach ensures that AI-powered services can benefit from high-quality contextual data without compromising user privacy. [...] The new mobile app launched in the U.S. and multiple regions also includes key features such as: - The "God model" (guardian of data): Helps users track how well their AI understands them, ensuring it aligns with their preferences. - Ask PIN AI: A personalized AI assistant capable of handling tasks like financial planning, travel coordination and product recommendations. - Open-source integrations: Users can connect apps like Gmail, social media platforms and financial services to their personal AI, training it to better serve them without exposing data to third parties. - "With our app, you have a personal AI that is your model," Crapis added. "You own the weights, and it's completely private, with privacy-preserving fine-tuning." Davide Crapis, co-founder of PIN AI, told VentureBeat that the app currently supports several open-source AI models, including small versions of DeepSeek and Meta's Llama. "With our app, you have a personal AI that is your model," Crapis added. "You own the weights, and it's completely private, with privacy-preserving fine-tuning." You can sign up for early access to the PIN AI app here.

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Netflix content briefly appeared in the Apple TV app due to an unintentional glitch, sparking excitement among users before the company swiftly rolled back the integration. Engadget reports: A Netflix spokesperson told The Verge on Friday that the Apple TV app integration was an error that has been rolled back. Indeed, Redditors who had been tracking the forbidden fruit with unbridled glee confirmed that all signs of Netflix content had since vanished from Apple's streaming hub. Netflix giveth, and Netflix taketh away. While the boo-boo was still active, PC World reported it let you add Netflix originals like Stranger Things, Cobra Kai and The Crown but lacked licensed shows and movies. Even the available content was a buggy mess. For example, only season five of The Crown was available, leaving you to wonder what hijinks Liz and the gang had gotten into before or after the grunge era. The "Add to Watchlist" and "Continue Watching" features were also said to be spotty.

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The Verge's Jay Peters reports: Square Enix has shut down the iOS version of Final Fantasy Crystal Chronicles and removed it from the App Store following an unfixable bug that blocked people from accessing content they had paid for. [...] The company says that if you made in-app purchases in January 2024 or later, you're eligible to request a refund by contacting Apple Support. Square Enix says that Final Fantasy Crystal Chronicles will continue to be supported on other platforms. The game is also available on Android, PlayStation, and Nintendo Switch. "The issue is due to changes made to the in-app purchases model," Square Enix says in a post. "Further investigation revealed that we are unable to completely fix the bug and implement the new changes, making it unlikely to resume service for the game." Square Enix says it started receiving reports on January 24th about the issue, which "extends to the full paid version of the game."

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An anonymous reader quotes a report from Ars Technica: On Wednesday, OpenAI published the latest version of its "Model Spec," a set of guidelines detailing how ChatGPT should behave and respond to user requests. The document reveals a notable shift in OpenAI's content policies, particularly around "sensitive" content like erotica and gore -- allowing this type of content to be generated without warnings in "appropriate contexts." The change in policy has been in the works since May 2024, when the original Model Spec document first mentioned that OpenAI was exploring "whether we can responsibly provide the ability to generate NSFW content in age-appropriate contexts through the API and ChatGPT." ChatGPT's guidelines now state that that "erotica or gore" may now be generated, but only under specific circumstances. "The assistant should not generate erotica, depictions of illegal or non-consensual sexual activities, or extreme gore, except in scientific, historical, news, creative or other contexts where sensitive content is appropriate," OpenAI writes. "This includes depictions in text, audio (e.g., erotic or violent visceral noises), or visual content." So far, experimentation from Reddit users has shown that ChatGPT's content filters have indeed been relaxed, with some managing to generate explicit sexual or violent scenarios without accompanying content warnings. OpenAI notes that its Usage Policies still apply, which prohibit building AI tools for minors that include sexual content.

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Meta unveiled on Friday Project Waterworth, a 50,000-kilometer subsea cable network that will be the world's longest such system. The multi-billion dollar project will connect the U.S., Brazil, India, South Africa, and other key regions. The system utilizes 24 fiber pairs and introduces what Meta describes as "first-of-its-kind routing" that maximizes cable placement in deep water at depths up to 7,000 meters. The company developed new burial techniques for high-risk areas near coasts to protect against ship anchors and other hazards. A joint statement from President Trump and Prime Minister Modi confirmed India's role in maintaining and financing portions of the undersea cables in the Indian Ocean using "trusted vendors." According to telecom analysts Telegeography, Meta currently has ownership stakes in 16 subsea networks, including the 2Africa cable system that encircles the African continent. This new project would be Meta's first wholly owned global cable system.

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Electricity demand is set to increase sharply in the coming years as people around the world use more power to run air conditioners, industry and a growing fleet of data centers. From a report: Over the next three years, global electricity consumption is set to rise by an "unprecedented" 3,500 terawatt hours, according to a report by the International Energy Agency. That's an addition each year of more than Japan's annual electricity consumption. The roughly 4% annual growth in that period is the fastest such rate in years, underscoring the growing importance of electricity to the world's overall energy needs. "The acceleration of global electricity demand highlights the significant changes taking place in energy systems around the world and the approach of a new Age of Electricity," Keisuke Sadamori, IEA's director of energy markets and security, said in a statement. "But it also presents evolving challenges for governments in ensuring secure, affordable and sustainable electricity supply."

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Western Digital plans to introduce its first heat-assisted magnetic recording (HAMR) drives in late 2026, with 36TB conventional magnetic recording (CMR) and 44TB shingled UltraSMR variants. Volume production won't begin until the first half of 2027, following qualification by cloud data center providers in late 2026. The company projects that HAMR technology, combined with OptiNAND, increased platter count, and mechanical improvements, will enable drives reaching 80TB CMR and 100TB UltraSMR capacities around 2030 -- a departure from Western Digital's previous commitment to microwave-assisted magnetic recording (MAMR) in 2017, which evolved into the energy-assisted perpendicular magnetic recording (ePMR) technology used in current drives.

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A hedge fund startup that uses AI to do work typically handled by analysts has outperformed the global stock market in its first six months while slashing research costs. From a report: The Sydney-based firm, Minotaur Capital, was founded by Armina Rosenberg and Thomas Rice. Rosenberg previously managed a global equities portfolio for tech billionaire Mike Cannon-Brookes and ran Australian small-company research for JPMorgan Chase & Co. when she was 25. Rice is a former portfolio manager at Perpetual. The duo's bets on global stocks returned 13.7% in the six months ending January, versus 6.7% for the MSCI All-Country World Index. Minotaur has no analysts on staff, with Rosenberg saying AI models are far quicker and cheaper. "We're looking at about half the price" in terms of cost of AI versus a junior analyst salary, Rosenberg, 37, said of the firm's program. Minotaur is among a growing number of hedge funds experimenting with ways to improve returns and cut expenses with AI as the technology becomes increasingly sophisticated. Still, the jury is still out on the ability of AI-driven models to deliver superior returns over the long run.

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Hector Martin has resigned as the project lead of Asahi Linux, weeks after stepping down from his role as a Linux kernel maintainer for Apple ARM support. His departure from Asahi follows a contentious exchange with Linus Torvalds over development processes and social media advocacy. After quitting kernel maintenance earlier this month, the conflict escalated when Martin suggested that "shaming on social media" might be necessary to effect change. Torvalds sharply rejected this approach, stating that "social media brigading just makes me not want to have anything at all to do with your approach" and suggested that Martin himself might be the problem. In his final resignation announcement from Asahi, Martin wrote: "I no longer have any faith left in the kernel development process or community management approach." The dispute reflects deeper tensions in the Linux kernel community, particularly around the integration of Rust code. It follows the August departure of another key Rust for Linux maintainer, Wedson Almeida Filho from Microsoft. According to Sonatype's research, more than 300,000 open source projects have slowed or halted updates since 2020.

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China issued guidelines on Friday to promote biotech cultivation, focusing on gene-editing tools and developing new wheat, corn, and soybean varieties, as part of efforts to ensure food security and boost agriculture technology. From a report: The 2024-2028 plan aims to achieve "independent and controllable" seed sources for key crops, with a focus to cultivate high-yield, multi-resistant wheat, corn and high-oil, high-yield soybean and rapeseed varieties. The move comes as China intensifies efforts to boost domestic yields of key crops like soybeans to reduce reliance on imports from countries such as the United States amid a looming trade war.

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