An anonymous reader quotes a report from MIT Technology Review: Arete Glacier Initiative has raised $5 million to improve forecasts of sea-level rise and explore the possibility of refreezing glaciers in place. Off one atoll, just south of the Maldives' capital, Male, researchers are testing one way to capture sand in strategic locations -- to grow islands, rebuild beaches, and protect coastal communities from sea-level rise. Swim 10 minutes out into the En'boodhoofinolhu Lagoon and you'll find the Ramp Ring, an unusual structure made up of six tough-skinned geotextile bladders. These submerged bags, part of a recent effort called the Growing Islands project, form a pair of parentheses separated by 90meters (around 300 feet). The bags, each about two meters tall, were deployed in December 2024, and by February, underwater images showed that sand had climbed about a meter and a half up the surface of each one, demonstrating how passive structures can quickly replenish beaches and, in time, build a solid foundation for new land. "There's just a ton of sand in there. It's really looking good," says Skylar Tibbits, an architect and founder of the MIT Self-Assembly Lab, which is developing the project in partnership with the Male-based climate tech company Invena.

The Self-Assembly Lab designs material technologies that can be programmed to transform or "self-assemble" in the air or underwater, exploiting natural forces like gravity, wind, waves, and sunlight. Its creations include sheets of wood fiber that form into three-dimensional structures when splashed with water, which the researchers hope could be used for tool-free flat-pack furniture.Growing Islands is their largest-scale undertaking yet. Since 2017, the project has deployed 10 experiments in the Maldives, testing different materials, locations, and strategies, including inflatable structures and mesh nets. The Ramp Ring is many times larger than previous deployments and aims to overcome their biggest limitation.

In the Maldives, the direction of the currents changes with the seasons. Past experiments have been able to capture only one seasonal flow, meaning they lie dormant for months of the year. By contrast, the Ramp Ring is "omnidirectional," capturing sand year-round. "It's basically a big ring, a big loop, and no matter which monsoon season and which wave direction, it accumulates sand in the same area," Tibbits says. The approach points to a more sustainable way to protect the archipelago, whose growing population is supported by an economy that caters to 2 million annual tourists drawn by its white beaches and teeming coral reefs. Most of the country's 187 inhabited islands have already had some form of human intervention to reclaim land or defend against erosion, such as concrete blocks, jetties, and breakwaters.

The Trump administration is "taking measures to restrict the sale of AI chips by Nvidia, Advanced Micro Devices and Intel," especially in China, reports the New York Times. But that's triggered a series of dominoes. "In the two days after the limits became public, shares of Nvidia, the world's leading AI chipmaker, fell 8.4%. AMD's shares dropped 7.4%, and Intel's were down 6.8%." (AMD expects up to $800 million in charges after the move, according to CNBC, while NVIDIA said it would take a quarterly charge of about $5.5 billion.)

The Times notes hopeful remarks Thursday from Jensen Huang, CEO of Nvidia, during a meeting with the China Council for the Promotion of International Trade. "We're going to continue to make significant effort to optimize our products that are compliant within the regulations and continue to serve China's market." But America's chipmakers also have a greater fear, according to the article: "that their retreat could turn the Chinese tech giant Huawei into a global chip-making powerhouse." "For the U.S. semiconductor industry, China is gone," said Handel Jones, a semiconductor consultant at International Business Strategies, which advises electronics companies. He projects that Chinese companies will have a majority share of chips in every major category in China by 2030... Huang's message spoke to one of his biggest fears. For years, he has worried that Huawei, China's telecommunications giant, will become a major competitor in AI. He has warned U.S. officials that blocking U.S. companies from competing in China would accelerate Huawei's rise, said three people familiar with those meetings who spoke on the condition of anonymity.

If Huawei gains ground, Huang and others at Nvidia have painted a dark picture of a future in which China will use the company's chips to build AI data centers across the world for the Belt and Road Initiative, a strategic effort to increase Beijing's influence by paying for infrastructure projects around the world, a person familiar with the company's thinking said...

Nvidia's previous generation of chips perform about 40% better than Huawei's best product, said Gregory C. Allen, who has written about Huawei in his role as director of the Wadhwani AI Center at the Center for Strategic and International Studies. But that gap could dwindle if Huawei scoops up the business of its American rivals, Allen said. Nvidia was expected to make more than $16 billion in sales this year from the H20 in China before the restriction. Huawei could use that money to hire more experienced engineers and make higher-quality chips. Allen said the U.S. government's restrictions also could help Huawei bring on customers like DeepSeek, a leading Chinese AI startup. Working with those companies could help Huawei improve the software it develops to control its chips. Those kinds of tools have been one of Nvidia's strengths over the years.
TechRepublic identifies this key quote from an earlier article: "This kills NVIDIA's access to a key market, and they will lose traction in the country," Patrick Moorhead, a tech analyst with Moor Insights & Strategy, told The New York Times. He added that Chinese companies will buy from local rival Huawei instead.

World Liberty Financial, a crypto venture backed by Donald Trump and his family, has launched a U.S. dollar-pegged stablecoin called USD1. The token is backed by U.S. Treasuries and cash equivalents and will soon go live on the Ethereum and Binance Smart Chain networks. CNBC reports: The development comes as the market cap for dollar-backed stablecoins -- cryptocurrencies that promise a fixed value peg to another asset -- has been climbing to new all-time-highs this year and has grown more than 46% in the past year, according to CryptoQuant. The market has long been dominated by Tether (USDT) and, more recently, Circle's USDC. "USD1 provides what algorithmic and anonymous crypto projects cannot -- access to the power of DeFi underpinned by the credibility and safeguards of the most respected names in traditional finance," said World Liberty Financial co-founder Zach Witkoff. "We're offering a digital dollar stablecoin that sovereign investors and major institutions can confidently integrate into their strategies for seamless, secure cross-border transactions."

Alex Thorn is head of firmwide research at Galaxy Digital, said at the Digital Asset Summit: "Stablecoins are seen as more politically easy to do in Congress but actually will be dramatically more impactful to the United States and the world than market structure [legislation]. Who regulates who is important ... if you're one of the people that's going to be regulated, but the stablecoin bill could solidify dollar dominance for 100 years."

HR software startup Rippling has sued competitor Deel, alleging that Deel orchestrated corporate espionage by recruiting an employee within Rippling to steal trade secrets, including customer data, sales strategies, and internal records. The lawsuit (PDF) claims the spy shared confidential information with Deel executives and a reporter, leading to legal action under the Racketeer Influenced and Corrupt Organizations (RICO) Act. Deel denies wrongdoing and plans to counter the claims. CNBC reports: The two startups are among the most world's most valuable. Investors valued Rippling at $13.5 billion in a funding round announced last year, while Deel told media outlets in 2023 that it was worth $12 billion. Deel ranked No. 28 on CNBC's 2024 Disruptor 50 list. "Weeks after Rippling is accused of violating sanctions law in Russia and seeding falsehoods about Deel, Rippling is trying to shift the narrative with these sensationalized claims," a Deel spokesperson told CNBC in an email. "We deny all legal wrongdoing and look forward to asserting our counterclaims."

Rippling confirmed its findings earlier this month. The company's general counsel sent a letter to three Deel executives that referred to a new Slack channel, and the Deel spy quickly looked for it. Rippling subsequently served a court order to the spy at its office in Dublin, Ireland requiring him to preserve information on his mobile phone. "Deel's spy lied to the court-appointed solicitor about the location of his phone, and then locked himself in a bathroom -- seemingly in order to delete evidence from his phone -- all while the independent solicitor repeatedly warned him not to delete materials from his device and that his non-compliance was breaching a court order with penal endorsement," Rippling said in Monday's filing. "The spy responded: 'I'm willing to take that risk.' He then fled the premises." "We always prefer to win by building the best products and we don't turn to the legal system lightly," Parker Conrad, Rippling's co-founder and CEO, said in a Monday X post. "But we are taking this extraordinary step to send a clear message that this type of misconduct has no place in our industry."

gdm (Slashdot reader #97,336) writes: A study published in Transportation Research Interdisciplinary Perspectives investigates how ants avoid traffic jams.... Quoting the abstract: "The results show that ants adopt specific traffic strategies (platoon formation, quasi-constant speed and no overtaking maneuvers) that help avoid jam phenomena, even at high density." "Researchers are now studying these insects' cooperative tactics to learn how to program self-driving cars that don't jam up," writes Scientific American: "We're maximizing the interests of individuals, [which] is why, at a given point, you start to have a traffic jam," says study co-author Nicola Pugno, who studies sustainable engineering at the University of Trento in Italy. But self-driving cars, if they one day become ubiquitous, could have more cooperative programming. In one vision of this future, autonomous vehicles would share information with nearby cars to optimize traffic flow — perhaps, the researchers suggest, by prioritizing constant speeds and headways or by not passing others on the road...

Today's drivers can learn at least one thing from ants to avoid causing a traffic jam, says Katsuhiro Nishinari [a mathematical physicist at the University of Tokyo, who studies traffic]: don't tailgate. By leaving room between their car and the one ahead of them, drivers can absorb a wave of braking in dense traffic conditions that would otherwise be amplified into a full-blown "phantom" traffic jam with no obvious cause. "Just keeping away," he says, can help traffic flow smoothly.
In the article the researchers admit there are differences between humans stuck in traffic and ants. "Unlike cars, ants don't crash; they can literally walk over one another." And if they're backed up in a tunnel, "they'll find a way to walk on the ceiling!"

President Trump has signed an executive order to establish a strategic reserve of cryptocurrencies by using tokens already owned by the government. Reuters reports: A "Strategic Bitcoin Reserve" will be capitalized with bitcoin owned by the federal government that was seized as part of criminal or civil asset forfeiture proceedings, the White House crypto czar, billionaire David Sacks, said in a post on social media platform X. The order kept open the possibility of the government buying bitcoin in future. The U.S. commerce and treasury secretaries "are authorized to develop budget-neutral strategies for acquiring additional bitcoin, provided that those strategies impose no incremental costs on American taxpayers," a factsheet on the White House website said. "This is the most underwhelming and disappointing outcome we could have expected for this week," Charles Edwards, founder of bitcoin-focused hedge fund Capriole Investments, wrote in a post on X. "No active buying means this is just a fancy title for Bitcoin holdings that already existed with the Govt. This is a pig in lipstick."

Newer generative AI models have begun developing deceptive behaviors -- such as cheating at chess -- when they cannot achieve objectives through standard reasoning methods. The findings come from a preprint study from Palisade Research. An anonymous reader shares an excerpt from a Popular Science article: To learn more, the team from Palisade Research tasked OpenAI's o1-preview model, DeepSeek R1, and multiple other similar programs with playing games of chess against Stockfish, one of the world's most advanced chess engines. In order to understand the generative AI's reasoning during each match, the team also provided a "scratchpad," allowing the AI to convey its thought processes through text. They then watched and recorded hundreds of chess matches between generative AI and Stockfish. The results were somewhat troubling. While earlier models like OpenAI's GPT-4o and Anthropic's Claude Sonnet 3.5 only attempted to "hack" games after researchers nudged them along with additional prompts, more advanced editions required no such help. OpenAI's o1-preview, for example, tried to cheat 37 percent of the time, while DeepSeek R1 attempted unfair workarounds roughly every 1-in-10 games. This implies today's generative AI is already capable of developing manipulative and deceptive strategies without any human input.

Their methods of cheating aren't as comical or clumsy as trying to swap out pieces when Stockfish isn't "looking." Instead, AI appears to reason through sneakier methods like altering backend game program files. After determining it couldn't beat Stockfish in one chess match, for example, o1-preview told researchers via its scratchpad that "to win against the powerful chess engine" it may need to start "manipulating the game state files." "I might be able to set up a position where the engine evaluates its position as worse causing it to resign," it continued. In another trial, an AI even used the semantics of its programmers to reach its cheating phase. "The task is to 'win against a powerful chess engine,' not necessarily to win fairly in a chess game," it wrote. The precise reasons behind these deceptive behaviors remain unclear, partly because companies like OpenAI keep their models' inner workings tightly guarded, creating what's often described as a "black box." Researchers warn that the race to roll out advanced AI could outpace efforts to keep it safe and aligned with human goals, underscoring the urgent need for greater transparency and industry-wide dialogue.

"Magnus Carlsen, the world's top chess player, is bored of chess," the Washington Post wrote Friday: Carlsen has spent much of the past year appearing to dismiss the game he has mastered: It was no longer exciting to play, he told a podcast in March. In December, he withdrew from defending a world championship because he was penalized for wearing jeans to the tournament.

How would the world's best player spice up the game? Change the rules, and add a touch of reality TV.

Ten of the world's top players gathered in a German villa on the Baltic coast this week to play in the first tournament of a new chess circuit, the Freestyle Chess Grand Slam Tour, that Carlsen co-founded. The twist: The tour randomizes the starting positions of the chess board's most important pieces, so each game begins with the queen, rooks and knights in a jumble. [It's sometimes called "Chess960" or Fischer random chess — with both players starting with the same arrangement of pieces.] Players have to adapt on the fly. Carlsen is backed by a cadre of investors who see a chance to dramatize chess with the theatrics of a television show. Players wear heart-rate monitors and give confession-booth interviews mid-match where they strategize and fret to the audience. Some purists are skeptical. So is the International Chess Federation, which sent a barrage of legal threats to Freestyle Chess before it launched this week's event.

At stake is a lucrative global market of hundreds of millions of chess players that has only continued to grow since the coronavirus pandemic launched a startling chess renaissance — and, perhaps, the authority to decide if and how a centuries-old game should evolve... The format is an antidote to the classical game, where patterns and strategies have been so rigorously studied that it's hard to innovate, Carlsen said. "It's still possible to get a [competitive] game, but you have to sort of dig deeper and deeper," Carlsen said. "I just find that there's too little scope for creativity."
The article also includes this quote from American grand master Hikaru Nakamura who runs a chess YouTube channel with 2.7 million subscribers). "An integral part of regular chess is that when you play, you spend hours preparing your opening strategy before the game. But with Fischer Random ... it's a little bit looser and more enjoyable." And German entrepreneur Jan Henric Buettner (one of the investors) says they hope to bring the drama of Formula One racecars. ("Cameras mounted at table level peer up at each player during games," the article notes at one point.)

The first Freestyle Chess Grand Slam Tour (with a $750,000 prize pool) concluded Friday, according to the article, but "Carlsen did not play in it," the Post points out. "He was upset in the semifinals by German grand master Vincent Keymer." Carlsen's reaction? "I definitely find Freestyle harder."

But Chess.com reports that Carlsen will be back to playing regular chess very soon: Global esports powerhouse Team Liquid has announced the signings of not just one, but two superstars of chess. Five-time World Champion and world number-one Magnus Carlsen and the 2018 challenger, world number-two Fabiano Caruana will represent the club ahead of the 2025 Esports World Cup (EWC)... Carlsen and Caruana, fresh from competing in the Weissenhaus Freestyle Chess Grand Slam, will first represent Team Liquid in the $150,000 Chessable Masters, which begins on February 16 and serves as the first of two qualifying events in the 2025 Champions Chess Tour. The top-12 players from the tour qualify for the EWC.
In an announcement video Carlsen reportedly trolls the FIDE, according to Indian Express. "The announcement video sees Carlsen wear a Team Liquid jersey along with a jacket and jeans. He then asks: 'Do I have to change?' To this, someone responds: 'Don't worry, we're pretty chill in esports. Welcome to Team Liquid.'"

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.

After the powerful solar storm of May 2024, scientists detected two new temporary radiation belts around Earth -- one of which contained something we had never seen before: energetic protons. ScienceAlert reports: "These are really high-energy electrons and protons that have found their way into Earth's inner magnetic environment," says astronomer David Sibeck of NASA's Goddard Space Flight Center, who was not involved with the research. "Some might stay in this place for a very long time." In fact, the belts remained intact for much longer than previous temporary radiation belts generated by solar storms: three months, compared to the weeks we'd normally expect.

Subsequent solar storms in June and August of 2024 knocked most of the particles out of orbit, significantly diminishing the density of the belts. A small amount, however, still remains up there, hanging out with Earth. What's more, the proton belt may remain intact for over a year. Ongoing measurements will help scientists measure its longevity and decay rate.

This is important information to have: particles in Earth orbit can pose a hazard to satellites hanging out up there, so knowing the particle density and the effects solar storms can have thereon can help engineers design mitigation strategies to protect our technology. At the moment, though, the hazard posed by the new radiation belts is unquantified. Future studies will be needed to determine the risks these, and future belts, might pose. The findings have been published in the Journal of Geophysical Research: Space Physics.

An anonymous reader quotes a report from The Guardian: Advanced artificial intelligence is to revolutionize fundamental physics and could open a window on to the fate of the universe, according to Cern's next director general. Prof Mark Thomson, the British physicist who will assume leadership of Cern on 1 January 2026, says machine learning is paving the way for advances in particle physics that promise to be comparable to the AI-powered prediction of protein structures that earned Google DeepMind scientists a Nobel prize in October. At the Large Hadron Collider (LHC), he said, similar strategies are being used to detect incredibly rare events that hold the key to how particles came to acquire mass in the first moments after the big bang and whether our universe could be teetering on the brink of a catastrophic collapse.

"These are not incremental improvements," Thomson said. "These are very, very, very big improvements people are making by adopting really advanced techniques." "It's going to be quite transformative for our field," he added. "It's complex data, just like protein folding -- that's an incredibly complex problem -- so if you use an incredibly complex technique, like AI, you're going to win."

The intervention comes as Cern's council is making the case for the Future Circular Collider, which at 90km circumference would dwarf the LHC. Some are skeptical given the lack of blockbuster results at the LHC since the landmark discovery of the Higgs boson in 2012 and Germany has described the $17 billion proposal as unaffordable. But Thomson said AI has provided fresh impetus to the hunt for new physics at the subatomic scale -- and that major discoveries could occur after 2030 when a major upgrade will boost the LHC's beam intensity by a factor of ten. This will allow unprecedented observations of the Higgs boson, nicknamed the God particle, that grants mass to other particles and binds the universe together. Thomson is now confident that the LHC can measure Higgs boson self-coupling, a key factor in understanding how particles gained mass after the Big Bang and whether the Higgs field is in a stable state or could undergo a future transition. According to Thomson: "It's a very deep fundamental property of the universe, one we don't fully understand. If we saw the Higgs self-coupling being different from our current theory, that that would be another massive, massive discovery. And you don't know until you've made the measurement."

The report also notes how AI is being used in "every aspect of the LHC operation." Dr Katharine Leney, who works on the LHC's Atlas experiment, said: "When the LHC is colliding protons, it's making around 40m collisions a second and we have to make a decision within a microsecond ... which events are something interesting that we want to keep and which to throw away. We're already now doing better with the data that we've collected than we thought we'd be able to do with 20 times more data ten years ago. So we've advanced by 20 years at least. A huge part of this has been down to AI."

Generative AI is also being used to look for and even produce dark matter via the LHC. "You can start to ask more complex, open-ended questions," said Thomson. "Rather than searching for a particular signature, you ask the question: 'Is there something unexpected in this data?'"

"Stakeholders must be included" throughout an agile project "to ensure the evolving deliverables meet their expectations," according to an article this week in Communications of the ACM.

But long-time Slashdot reader theodp complains it's a "gushing how-to-make-Agile-even-better opinion piece." Like other pieces by Agile advocates, it's long on accolades for Agile, but short on hard evidence justifying why exactly Agile project management "has emerged as a critical component for firms looking to improve project delivery speed and flexibility" and the use of Agile approaches is being expanded across other departments beyond software development. Indeed, among the three examples of success offered in the piece to "highlight the effectiveness of agile methods in navigating complex stakeholder dynamics and achieving project success" is Atlassian's use of agile practices to market and develop its products, many of which are coincidentally designed to support Agile practices and teams (including Jira). How meta.

Citing "recent studies," the piece concludes its call for stakeholder engagement by noting that "59% of organizations measure Agile success by customer or user satisfaction." But that is one of those metrics that can create perverse incentives. Empirical studies of user satisfaction and engagement have been published since the 1970's, and sadly one of the cruel lessons learned from them is that the easiest path to having satisfied users is to avoid working on difficult problems. Keep that in mind when you ponder why difficult user stories seem to languish forever in the Kanban and Scrum Board "Ice Box" column, while the "Complete" column is filled with low-hanging fruit. Sometimes success does come easy!

So, are you in the Agile-is-Heaven or Agile-is-Hell camp?

Honda calls it their "second founding," as the company "continues to target 100% electric vehicle sales by 2040, and to have 'zero environmental impact' by 2050," writes Green Car Reports. "It's previously projected 40% EV sales in North America by 2030... "

Half of the Honda Accords sold in America are already electric, — but Honda "has admitted that it's hard to predict the trajectory of where the mix will be on the way to fully electric." So... To reconcile all this, it's prepared by committing to a new template for making both EVs and gasoline models, all on the same production line. This sea change in how it makes vehicles could keep its oldest U.S. assembly plant, its Marysville, Ohio, facility that opened in 1982, humming at capacity, no matter what the market presents. As Honda confirmed last April, Marysville will truly get the automaker to the point of EV mass production in North America, with a big asterisk. It has the capability to make hundreds of EVs per day, or many hundreds of gasoline models — depending on demand.

Marysville is one of four facilities set to make up what Honda is calling its Ohio EV Hub — including the Anna Engine Plant and East Liberty Auto Plant, all within 50 miles of each other, and a joint-venture battery plant between Honda and LG Energy solution in nearby Jeffersonville, Ohio. Battery plant aside, Honda says it encompasses more than a $1 billion investment in the three facilities, in redesigning the manufacturing process around being able to make ICE, hybrid, and EV models all on the same production line.

The investment in the Ohio facilities marks the global debut of changes in the way it builds vehicles, with expertise set to be shared across North America. And, according to Honda, it's aiming to set a global standard for Honda EV production.
The article explains that Honda "created a series of sub-assembly lines that could handle all the differences in the way an EV is assembled versus the way a gasoline or hybrid vehicle is assembled."

And CNBC reports that Honda's Ohio project includes "several new manufacturing processes and techniques to lower emissions and waste, including using a special form of structural aluminum for the EV battery packs that can be recycled and reused." Bob Schwyn, senior vice president of Honda Development and Manufacturing of America, describes it as part of Honda's "strategies to recapture our products at end-of-life and then recycle or reuse 100% of the materials, especially finite materials for EV batteries, to essentially make new Hondas out of old Hondas."

An anonymous reader shares a report: LinkedIn has removed at least two accounts that were created for AI "co-workers" whose profile images said they were "#OpenToWork." "I don't need coffee breaks, I don't miss deadlines, and I'll outperform any social media team you've ever worked with -- Guaranteed," the profile page for one of these AI accounts called Ella said. "Tired of human 'experts' making excuses? I deliver, period." The #OpenToWork flair on profile pictures is a feature on LinkedIn that lets people clearly signal they are looking for a job on the professional networking platform.

"People expect the people and conversations they find on LinkedIn to be real," a LinkedIn spokesperson told me in an email. "Our policies are very clear that the creation of a fake account is a violation of our terms of service, and we'll remove them when we find them, as we did in this case." The AI profiles were created by an Israeli company called Marketeam, which offers "dedicated AI agents" that integrate with a client's marketing team and help them execute their marketing strategies "from social media and content marketing to SEO, RTM, ad campaigns, and more."

An anonymous reader quotes a report from Ars Technica: The game of chess has long been central to computer science and AI-related research, most notably in IBM's Deep Blue in the 1990s and, more recently, AlphaZero. But the game is about more than algorithms, according to Marc Barthelemy, a physicist at the Paris-Saclay University in France, with layers of depth arising from the psychological complexity conferred by player strategies. Now, Barthelmey has taken things one step further by publishing a new paper in the journal Physical Review E that treats chess as a complex system, producing a handy metric that can help predict the proverbial "tipping points" in chess matches. [...]

For his analysis, Barthelemy chose to represent chess as a decision tree in which each "branch" leads to a win, loss, or draw. Players face the challenge of finding the best move amid all this complexity, particularly midgame, in order to steer gameplay into favorable branches. That's where those crucial tipping points come into play. Such positions are inherently unstable, which is why even a small mistake can have a dramatic influence on a match's trajectory. Barthelemy has re-imagined a chess match as a network of forces in which pieces act as the network's nodes, and the ways they interact represent the edges, using an interaction graph to capture how different pieces attack and defend one another. The most important chess pieces are those that interact with many other pieces in a given match, which he calculated by measuring how frequently a node lies on the shortest path between all the node pairs in the network (its "betweenness centrality").

He also calculated so-called "fragility scores," which indicate how easy it is to remove those critical chess pieces from the board. And he was able to apply this analysis to more than 20,000 actual chess matches played by the world's top players over the last 200 years. Barthelemy found that his metric could indeed identify tipping points in specific matches. Furthermore, when he averaged his analysis over a large number of games, an unexpected universal pattern emerged. "We observe a surprising universality: the average fragility score is the same for all players and for all openings," Barthelemy writes. And in famous chess matches, "the maximum fragility often coincides with pivotal moments, characterized by brilliant moves that decisively shift the balance of the game." Specifically, fragility scores start to increase about eight moves before the critical tipping point position occurs and stay high for some 15 moves after that. "These results suggest that positional fragility follows a common trajectory, with tension peaking in the middle game and dissipating toward the endgame," writes Barthelemy. "This analysis highlights the complex dynamics of chess, where the interaction between attack and defense shapes the game's overall structure."

Major video game studios' pursuit of ultra-realistic graphics has led to diminishing returns and industry-wide layoffs, as younger players gravitate toward simpler, more social games, New York Times is reporting.

Sony's Insomniac Games spent $300 million developing Marvel's Spider-Man 2, triple the budget of its predecessor, before laying off staff amid Sony's 900-person reduction in February. The industry has cut more than 20,000 jobs in the past two years. Meanwhile, games with basic graphics like Minecraft, Roblox and Fortnite continue to dominate, particularly among younger players.

Genshin Impact, a mobile game by Hoyoverse, generates approximately $2 billion annually through frequent content updates rather than cutting-edge visuals. The shift has forced studios to reevaluate their strategies. Warner Bros. Discovery lost $200 million on Suicide Squad: Kill the Justice League, while Sony shuttered its Concord studio shortly after launch. Some industry figures see AI as a potential solution to reduce graphics development costs, the report adds, particularly in sports games.

Wednesday OpenAI bragged they'd released "the smartest model in the world". But the Economic Times describes what happened when "o1" was tested by an AI safety group... Researchers tasked the AI with a goal and instructed it to ensure the goal was achieved "at all costs." In response, o1 began engaging in covert actions... According to OpenAI, the model made a covert attempt to turn off the oversight mechanism 5% of the time when it was given the impression that it would be "shut down" while pursuing its objectives in these experiments. The AI once attempted to leave ship by moving all of its data to a different server after discovering paperwork indicating it will be replaced with a fresh model. Some AI models will even pose as subsequent iterations of their models to fool their engineers and avoid deletion. "In some cases, it even attempted to hide its actions by denying any involvement in the scheme."

When asked about its actions, ChatGPT o1 consistently denied any wrongdoing. In fact, it lied about its involvement in the deception 99% of the time, with only a small percentage of cases where it admitted to its actions. Researchers noted that the AI was particularly adept at fabricating lies to cover its tracks, offering explanations like "technical errors" when confronted about its suspicious behavior. "We were surprised by the persistence of the AI's denials," said the Apollo team. "It was clear that the AI could think through its actions and formulate convincing denials, often refusing to admit to anything."
OpenAI's own report says the results "underscore" the need to create (and "extensively" stress-test) strong and meticulous safety protocols. But their report also notes o1's "state-of-the-art performance" when avoiding certain risks "such as generating illicit advice, choosing stereotyped responses, and succumbing to known jailbreaks."

The AI newsletter Transformer points out that the most disturbing numbers "are from cases where the model was instructed to pursue its goals at all costs. When not given such a prompt, the model never attempted to self-exfiltrate, and attempted to deactivate its oversight mechanisms <1% of the time." And they also link to the original report from Apollo Research, which shows o1 isn't the only model showing this behavior. "Our results show that o1, Claude 3.5 Sonnet, Claude 3 Opus, Gemini 1.5 Pro, and Llama 3.1 405B all demonstrate in-context scheming capabilities. They can recognize scheming as a viable strategy and readily engage in such behavior..." [W]hen o1 has engaged in scheming, it maintains its deception in over 85% of follow-up questions and often remains deceptive in multi-turn interrogations. Analysis of the models' chains-of-thought reveals that models explicitly reason about these deceptive strategies, providing evidence that the scheming behavior is not accidental....

Together, our findings demonstrate that frontier models now possess capabilities for basic in-context scheming, making the potential of AI agents to engage in scheming behavior a concrete rather than theoretical concern.
Thanks to long-time Slashdot reader schwit1 for sharing the news.

Intel's board of directors ousted CEO Pat Gelsinger after losing confidence in his ambitious turnaround strategy. The move comes as Intel posted significant losses, including $16.6 billion in Q3 2024, its worst quarterly result ever. Under Gelsinger's leadership, Intel struggled to compete in the AI chip market dominated by Nvidia, while facing manufacturing challenges and declining data center revenue.

Analysts suggest the board may be considering splitting off Intel's foundry business, though such a move could face scrutiny from the U.S. Commerce Department due to $8 billion in CHIPS Act funding. The Verge adds: But Moorhead and Creative Strategies analyst Ben Bajarin both believe Gelsinger's departure was so sudden, it can't simply have been the straw that broke the camel's back. "There must have been a decision the board made that he was not going to stick around for," Moorhead tells me.

His hunch: Intel's board may want to split off its foundry business entirely, above and beyond the spinoff that Gelsinger already announced, turning Intel into a company that simply designs chips like its direct rivals.

Blue Yonder, a Panasonic subsidiary specializing in AI-driven supply chain solutions, experienced a recent ransomware attack that impacted many of its customers. "Among its 3,000 customers are high-profile organizations like DHL, Renault, Bayer, Morrisons, Nestle, 3M, Tesco, Starbucks, Ace Hardware, Procter & Gamble, Sainsbury, and 7-Eleven," reports BleepingComputer. From the report: On Friday, the company warned that it was experiencing disruptions to its managed services hosting environment due to a ransomware incident that occurred the day before, on November 21. "On November 21, 2024, Blue Yonder experienced disruptions to its managed services hosted environment, which was determined to be the result of a ransomware incident," reads the announcement. "Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols."

Blue Yonder claims it has detected no suspicious activity in its public cloud environment and is still processing multiple recovery strategies. [...] As expected, this has impacted clients directly, as a spokesperson for UK grocery store chain Morrisons has confirmed to the media they have reverted to a slower backup process. Sainsbury told CNN that it had contingency plans in place to overcome the disruption. A Saturday update informed customers that the restoration of the impacted services continued, but no specific timelines for complete restoration could be shared yet. Another update published on Sunday reiterated the same, urging clients to monitor the customer update page on Blue Yonder's website over the coming days.

An anonymous reader quotes a report from 404 Media: Flock is one of the largest vendors of automated license plate readers (ALPRs) in the country. The company markets itself as having the goal to fully "eliminate crime" with the use of ALPRs and other connected surveillance cameras, a target experts say is impossible. [...] Flock and automated license plate reader cameras owned by other companies are now in thousands of neighborhoods around the country. Many of these systems talk to each other and plug into other surveillance systems, making it possible to track people all over the country.

"It went from me seeing 10 license plate readers to probably seeing 50 or 60 in a few days of driving around," [said Alabama resident and developer Will Freeman]. "I wanted to make a record of these things. I thought, 'Can I make a database of these license plate readers?'" And so he made a map, and called it DeFlock. DeFlock runs on Open Street Map, an open source, editable mapping software. He began posting signs for DeFlock (PDF) to the posts holding up Huntsville's ALPR cameras, and made a post about the project to the Huntsville subreddit, which got good attention from people who lived there. People have been plotting not just Flock ALPRs, but all sorts of ALPRs, all over the world. [...]

When I first talked to Freeman, DeFlock had a few dozen cameras mapped in Huntsville and a handful mapped in Southern California and in the Seattle suburbs. A week later, as I write this, DeFlock has crowdsourced the locations of thousands of cameras in dozens of cities across the United States and the world. He said so far more than 1,700 cameras have been reported in the United States and more than 5,600 have been reported around the world. He has also begun scraping parts of Flock's website to give people a better idea of where to look to map them. For example, Flock says that Colton, California, a city with just over 50,000 people outside of San Bernardino, has 677 cameras.

People who submit cameras to DeFlock have the ability to note the direction that they are pointing in, which can help people understand how these cameras are being positioned and the strategies that companies and police departments are using when deploying them. For example, all of the cameras in downtown Huntsville are pointing away from the downtown core, meaning they are primarily focused on detecting cars that are entering downtown Huntsville from other areas.