NASA has squeezed at least another year of science out of Voyager 2 by cutting power to nonessential systems and switching to lower-power alternatives. Voyager 1 is expected to receive the same power-saving changes in the coming months. Space.com reports: Voyager 2 and its twin launched in 1977, called Voyager 1, rely on a form of nuclear battery known as a radioisotope thermoelectric generator that uses the heat produced by the decay of plutonium. But the supply of plutonium on each probe drops at about four watts a year on each spacecraft. To keep the probe running on this dwindling power supply, engineers recently reduced Voyager 2's power requirements by turning off a few non-science devices and using "lower-power alternatives" that are still effective enough to keep the spacecraft warm while it's so far from the sun, NASA officials said in a statement. "The spacecraft power margins have grown razor thin, requiring the team to conserve energy by shutting off non-essential devices and systems," NASA officials wrote of the mission, which is managed by the agency's Jet Propulsion Laboratory. The drop in power is having a measurable science impact on both spacecraft -- each has turned off two of their science instruments since 2024 alone. While some of these instruments were shut off after the spacecraft finished their historic planetary flybys decades ago, others were turned off due to power requirements. Each spacecraft initially launched with 10 instruments, and Voyager 2 is now down to only three instruments. At first it looked as though Voyager 2 would have to shut down another of these instruments later this year, but luckily, the new power shifts will allow all three to operate "for at least another year," NASA said.

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An anonymous reader quotes a report from the BBC: German energy company RWE has said it will abandon its offshore wind projects in the U.S. after reaching a $1.2 billion payout deal with President Donald Trump's Department of the Interior (DoI). RWE said that it will now reinvest the sum into conventional gas projects, including $900 million in a liquefied natural gas (LNG) export terminal project in Louisiana. "After careful consideration, it was determined there is no path forward to permit these projects in the US for the foreseeable future," the company said in a statement. RWE said it has agreed to relinquish its leases off the California and Louisiana coasts as well as in the New York Bight. Overall, the German firm plans to invest approximately $19.6 billion in the U.S. over the next six years "to grow its generation capacity." Interior Secretary Doug Burgum said in a statement posted on X that Americans deserve an energy system built on common sense and not one dependent on "costly subsidies." "We welcome RWE's agreement and voluntary investment in projects that strengthen our nation's energy security," he added. Earlier this year, the DOL reached a deal with TotalEnergies putting an end to the French company's offshore wind projects in the U.S. "Instead, the firm agreed to reroute investment to build a LNG plant in Texas and to develop 'upstream conventional oil' in the Gulf of Mexico," reports the BBC. Another similar deal was signed with Charlotte-based Duke Energy last month to terminate the company's offshore wind lease in the Carolina Long Bay area.

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Longtime Slashdot reader schwit1 shares an opinion piece from the Washington Post, written by Virginia Governor Abigail Spanberger: NextEra Energy, a Florida-based utility company, has filed paperwork to buy Dominion Energy for about $67 billion, creating the largest regulated electric utility in the world. Virginia's State Corporation Commission is the regulatory body tasked with reviewing the application, and the SCC's commissioners will ultimately decide whether to approve, deny or impose new conditions on any potential merger. As a Virginian, I am deeply skeptical about whether selling our primary state-regulated utility to an out-of-state company is good for the commonwealth. I have serious questions about what this deal would mean for us. And as governor, I intend to get answers and be a voice for Virginians in the process. That is why I will be taking the legal step of "intervening" in this proposed merger, which means that as governor, I will formally request to be a party to the case. I know this action is unprecedented by a Virginia governor -- but so, too, is the size of this proposed merger and its potential impact on the commonwealth. Virginians deserve to know that their leaders are laser-focused on ensuring that their needs are part of the SCC review. "If two large corporations stand to benefit financially from this merger, so, too, should the Virginians who pay the bills," said Spanberger. "That is why any potential deal must deliver a more affordable energy bill with sustained, long-term energy cost savings." By formally intervening in the merger review, Spanberger's administration would gain legal standing to participate directly in the case, request detailed information, raise concerns, and advocate for conditions that benefit people in the state. She says the goal is to push for lower long-term energy costs, protect utility jobs, and ensure any new owner continues investing in reliable, affordable and cleaner power.

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The National Rural Water Association has partnered with DEF CON Franklin to launch the Water Watch Center, which will provide threat intelligence and cybersecurity services to smaller U.S. water utilities serving fewer than 10,000 people. The initiative comes amid a growing wave of cyberattacks on water systems across multiple states. The Record reports: The program will see five managed detection and response providers work with DEF CON Franklin and the NRWA to offer cyber services for water utilities serving fewer than 10,000 people. There are over 50,000 community water systems across the U.S. and 91% of them serve fewer than 10,000 people. "These leading cyber firms and NRWA are architecting a scalable cyber delivery model that has eluded water industry and national security officials to date," said Jake Braun, the co-founder of DEF CON Franklin and former cyber official in the Biden administration. "Our incredible Franklin volunteers will support the effort to keep costs down for cash-strapped utilities fending off adversaries like the Iranian Red Guard or Chinese Military," Braun said. "To further accelerate the effort, we hand-picked cyber providers who already support water utilities. These folks walk in the door knowing the intricacies of cybersecurity in a water utility environment." The providers include Rapid7, Defendify, Legato Security, L1 Secure and Sentinel Technologies. The companies will share threat information and data on vulnerability patches with the NRWA, which will operate as a hub.

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An anonymous reader quotes a report from NPR: Billions of dollars are traded every week on the lightly regulated prediction market sites, where users bet on everything from movie reviews to elections to conflicts in the Middle East. Clinical trials are just the latest area where the industry's rapid growth is raising ethical questions. Kalshi claims such bets will provide a new source of information about which drugs will get approved, and what clinical trials will show promising results, which the company says can help investors decide what new drugs to fund. "If you want to ban profiting from the failure of clinical trials, you would start with the stock market, where the financial incentive for this type of profit is orders of magnitude larger," said Kalshi spokesman Jack Such, pointing to stock market short sellers who have profited from clinical trial failures. "While Kalshi and the stock market are the same in this regard, they do differ in one important way: the stock market doesn't give any valuable information to researchers," Such said. Drug trial researchers, though, are far from convinced. David Tsai, who runs clinical trials at a biotech company in the San Francisco Bay Area, started an online petition pushing for such betting to be banned, making the case that betting on drug trials "threatens the very foundation of trust and integrity in biotechnology." Tsai is concerned that the prospect of betting provides those involved with a clinical trial a reason to tamper with the results for a prediction market payout. "If we were running a trial for an oncology drug that requires an infusion, a pharmacist who had placed a bet saying that it's gonna work well, or doesn't work well, could obviously adjust the infusion rate, could adjust the source temperature of the drug," he said. "They could change any number of variables that could obviously have a direct impact [on] how the trial and the data and the patient safety would come out." Another skeptic is Nicholas Zaorsky, a professor of radiation oncology at the Mayo Clinic in Jacksonville, Fla., who has helped run clinical trials and agrees that prediction markets can interfere with the advancement of life-saving drugs. "Prediction markets can be valuable in some settings because they aggregate information, but clinical trials are fundamentally different: investigators, coordinators, and sometimes even participants can directly influence aspects of the outcomes being wagered on," Zaorsky said. "That creates financial incentives that risk undermining trial integrity." Bettors should not be rooting for an experimental medicine to fail just to earn a buck, says Joshua Pederson, the father of a 12-year-old cancer patient enrolled in a clinical trial. "It's a dark idea," he said. "It's quite ghastly." Kalshi, for its part, argues that its prediction markets could help patients track promising medical breakthroughs and clinical trials, enlisting experts including 23andMe founder Anne Wojcicki to make the case. "Most patients don't know about the choices available in clinical trials or which programs are most promising. The opportunity to have an open, transparent dataset about trial probabilities is extremely promising and empowering for people," a white paper sponsored by Kalshi stated.

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Former U.S. National Cyber Director Chris Inglis says the biggest AI risk isn't sentience but autonomy. "What I'm worried about is that they get to choose what and where they do something, and under what rules they do it," he said, citing recent cases of AI agents from OpenAI, Anthropic, and Meta escaping security sandboxes. He argues developers need stronger safeguards, monitoring, and human accountability, invoking Asimov's idea that protecting humans should come before simply obeying them. The Register reports: "Asimov was right," he said, referring to science fiction author Isaac Asimov and his three laws that were to be followed by robots -- more specifically, AIs, in this case. "The first rule, and we call it the superior role, must be that it's designed not to hurt humans," Inglis said. "Second rule: To obey humans, such that it doesn't achieve agency and aspiration on its own. And the third: To do what humans tell it - and in that order. Instead we've designed them in the exact opposite way." What this means, he explained, is that AI developers created models to "do what humans tell you, obey the humans until it's inconvenient, and then the third one is maybe implied - protect humans - but if that's not built into the DNA, hardwired into it, then we have no right to expect it." Inglis admits it's not possible to hardwire rules into models and still keep their non-deterministic nature. "I would offer that you can tease those out in a highly controlled environment, a true sandbox, where you say, 'Let's put this thing through its paces, and let's back away to see what happens,'" he said. "Maybe you get the equivalent of a mini nuclear explosion in that room, and now you know this thing is capable of that." Inglis thinks another problem with AI is that it's become a commodity. "It's not like you can control it like you can nuclear material," he said. "You can't even specify its properties the way you can for an airplane or for an automobile, as diverse as they might be. Its manifestations are so numerous, so diverse, that as a general matter, you can't actually win by simply saying, "I will design those properties in,'" he added. "You need to do that to some degree, and then make sure that you understand how to watch it, monitor it, make sure you know what it does." [...] Ultimately, humans remain accountable for AI models' actions, according to Inglis. "They remain the source of agency and aspiration. It's possible for them to give broad authority to an AI model and have it run around for 30 hours without further consultation, but they need to know what they've asked it to do, and they need to know what they expect it will deliver in terms of performance on the back end. If they don't, then they're going to get what they deserve, which is the very frequent unpleasant surprise."

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"Framework has been sending out email notifications to customers alerting of a limited data breach in which customer information was accessed through a Metabase BI service zero-day exploit," writes Slashdot reader DuoDreamer. Data includes customer names, email addresses, phone numbers, and physical addresses. "Framework is investigating whether or not this included Framework for Business customers as well." TechCrunch reports: Framework's spokesperson Eric Schumacher told TechCrunch that the breach affected "all customers," but declined to specify a specific number. Framework computers are relatively niche products, but some estimates say the company sold hundreds of thousands of devices. Metabase disclosed its own breach in a blog post on its official website, where it said that it was hacked by someone using an unknown security flaw, a so-called zero-day. The company said the hackers exploited the bug to give them the ability to access customers' databases stored on Metabase's cloud servers. In its email to customers, Framework also included the email Metabase sent to the company, which says hackers accessed Framework's cloud instance. The computer maker said it investigated the incident and found that hackers had stolen its customers' personal data, but did not include their payment information.

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Suno says it will begin watermarking and fingerprinting AI-generated songs, tighten download policies to curb mass distribution, and explicitly prohibit deceptive audio and unauthorized voice or likeness cloning. The changes come as the company faces mounting copyright lawsuits, a recent adverse ruling in Germany, and scrutiny over a past data breach that revealed training-data sources. TechCrunch reports: In a blog post, co-founder and CEO Mikey Shulman shared core principles and said that the platform wants to promote original creation while enabling more people to make music with its AI tools. One of the key points of contention involved users uploading AI-generated songs on other streaming platforms and gaming the system to earn revenue. Suno said that now it will use audio watermarking and fingerprinting to prevent misuse on other streaming platforms. It's not clear if Suno will use an existing system like Google's Synth ID or adopt a new one, and the company did not say when contacted by TechCrunch about this. The startup also signed an agreement with lyrics provider Musixmatch to use its Sentinel system for copyright detection, the blog post said. [...] The company added that it plans to add a new download policy to bar mass distribution on streaming platforms, but declined to provide details on the record. Suno has also changed its community guidelines to explicitly prohibit "deceptive audio presented as real" and "using a real person's voice or likeness without permission" to prevent copycats.

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ByteDance is reportedly training an AI model with roughly 10 trillion parameters as it tries to close the gap with leading frontier systems such as Anthropic's Mythos. The model is still in early pre-training, and its eventual performance will depend on more than scale alone, but the project underscores how aggressively Chinese firms are pushing frontier AI despite limits on access to advanced chips. The Next Web reports: The size is itself the statement. At roughly 10 trillion parameters, the model would be more than three times as large as Moonshot's Kimi K3, which sits among the biggest Chinese models today at about 2.8 trillion. [...] Parameter count is not everything, of course. Bigger models are not automatically better, and the industry has learned that data quality, training technique and efficiency often matter as much as raw scale. Even so, committing the compute to train a model this size is a declaration in its own right, a signal that ByteDance wants to compete at the very top rather than ship a capable also-ran.

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President Trump has ordered a 15% tariff on imported products made with polysilicon, a key material for semiconductors and solar panels. The new tariff will take effect on December 4th. The Guardian reports: The executive order signed by the president on Thursday evening said: "The plan of action in this proclamation will, among other things, help ensure the commercial viability of United States production of polysilicon and its derivatives that is necessary to meet United States economic and national security requirements." Polysilicon, an ultra-pure form of silicon, is an important ingredient in making the semiconductors vital for AI processing power, datacentres and solar power generation. US solar factories have long accused Chinese rivals of dumping cheaper panels on the market, which they say have been enabled by excessive government subsidies and by moving manufacturing to other countries to dodge US tariffs. [...] The US has two main polysilicon factories, including Hemlock Semiconductor, which operates a plant in Michigan and is a joint venture between the US tech company Corning and Japan's Shin-Etsu Handotai. The Munich-based Wacker Chemie runs a factory in Tennessee. Trump said in the order that he had accepted recommendations by the commerce secretary, Howard Lutnick, to set minimum import prices of $21 a kilogram for polysilicon, $100 a kilogram for polysilicon ingots and wafers, $0.22 a watt for solar cells, and $0.38 a watt for solar modules or panels. The order also allows the commerce department to create an incentive program for companies that invest in factories to produce polysilicon or derivative products.

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An anonymous reader quotes a report from CNBC: On Thursday, AMD said it's entered into an agreement to acquire Taalas, a Toronto-based startup that makes chips for inference. Taalas' accelerators are customized, or hard-wired for a single AI model, rather than being general purpose. In exchange for that loss of flexibility, Taalas' technology promises a less-expensive chip that it says can produce output for specific models thousands of times faster than a traditional GPU. An AMD representative declined to provide a purchase price for the transaction. Taalas has raised a total of $219 million in venture funding since its 2023 founding. Taalas' current chip runs a small version of Meta's Llama 3.1 model, though the company is working on chips for bigger and more advanced models. It's manufactured using an older Taiwan Semiconductor Manufacturing Co. process, and uses speedy SRAM memory on the chip itself. Taalas CEO Ljubisa Bajic says on the startup's website that the company "developed a platform for transforming any AI model into custom silicon." "From the moment a previously unseen model is received, it can be realized in hardware in only two months," Bajic wrote.

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