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Slashdot reader hackingbear summarizes this report from Bloomberg: China consumed totally 10.4 trillion kilowatt hours (10.4 petaWh) in 2025 according to data from the National Energy Administration. That's the highest annual electricity use ever recorded by a single country, and doubled the amount used by the US and surpassed the combined annual total of the EU, Russia, India and Japan. The surge in demand for power are results of growth in data centers for artificial intelligence (+17% over 2024) and use of electric vehicles (+48.8%)... However, on a per-capita basis, China uses about 7,300 kWh per person vs about 13,000 kWh per American. More details from Reuters: China's mostly coal-based thermal power generation fell in 2025 for the first time in 10 years, government data showed on Monday, as growing renewable generation met growth in electricity demand even as overall power usage hit a record. The data is a positive signal for the decarbonisation of China's power sector as China sets a course for carbon emissions to peak by 2030... Thermal electricity, generated mostly by coal-fired capacity with a small amount from natural gas, fell 1% in 2025 to 6.29 trillion kilowatt-hours (kWh), according to the National Bureau of Statistics (NBS). It fell more sharply in December, down by 3.2%, from a year earlier, the data showed... [Though the article notes that coal output still edged up to a record high last year.] Hydropower grew at a steady pace, up 4.1% in December and rising 2.8 % for the full year, the NBS data showed. Nuclear power output rose 3.1 in December and 7.7% in 2025, respectively. Thermal power generation is unlikely to accelerate in 2026 as renewables growth continues apace.

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An anonymous reader shared this report from CNBC: Led by Texas and New Hampshire, U.S. states across the national map, both red and blue in political stripes, are developing bitcoin strategic reserves and bringing cryptocurrencies onto their books through additional state finance and budgeting measures. Texas recently became the first state to purchase bitcoin after a legislative effort that began in 2024, but numerous states have joined the "Reserve Race" to pass legislation that will allow them to ultimately buy cryptocurrencies. New Hampshire passed its crypto strategic reserve law last May, even before Texas, giving the state treasurer the authority to invest up to 5% of the state funds in crypto ETFs, though precious metals such as gold are also authorized for purchase. Arizona passed similar legislation, while Massachusetts, Ohio, and South Dakota have legislation at various stages of committee review... Similarities in the actions taken across states to date include include authorizing the state treasurer or other investment official to allow the investment of a limited amount of public funds in crypto and building out the governance structure needed to invest in crypto... [New Hampshire] became the first state to approve the issuance of a bitcoin-backed municipal bond last November, a $100 million issuance that would mark the first time cryptocurrency is used as collateral in the U.S. municipal bond market. The deal has not taken place yet, though plans are for the issuance to occur this year... "What's different here is it's bitcoin rather than taxpayer dollars as the collateral," [said University of Chicago public policy professor Justin Marlowe]. In numerous states, including, Colorada, Utah, and Louisiana,crypto is now accepted as payment for taxes and other state business... "For many in the state/local investing industry, crypto-backed assets are still far too speculative and volatile for public money," Marlowe said. "But others, and I think there's a sort of generational shift in the works, see it as a reasonable store of value that is actually stronger on many other public sector values like transparency and asset integrity," he added. Public policy professor Marlowe "sees the state-level trend as largely one of signaling at present," according to the article. (Marlowe says "If you're a governor and you want to broadcast that you are amenable to innovative business development in the digital economy, these are relatively low-cost, low-risk ways to send that signal.") But the bigger steps may reflect how crypto advocates have increasing political power in the states. The article notes that the cryptocurrency industry was the largest corporate donor in a U.S. election cycle in 2024, "with support given to candidates on both sides." "It is already amassing a war chest for the 2026 midterms."

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This week Noema magazine published a 7,000-word exploration of our modern "Mythology Of Conscious AI" written by a neuroscience professor who directs the University of Sussex Centre for Consciousness Science: The very idea of conscious AI rests on the assumption that consciousness is a matter of computation. More specifically, that implementing the right kind of computation, or information processing, is sufficient for consciousness to arise. This assumption, which philosophers call computational functionalism, is so deeply ingrained that it can be difficult to recognize it as an assumption at all. But that is what it is. And if it's wrong, as I think it may be, then real artificial consciousness is fully off the table, at least for the kinds of AI we're familiar with. He makes detailed arguments against a computation-based consciousness (including "Simulation is not instantiation... If we simulate a living creature, we have not created life.") While a computer may seem like the perfect metaphor for a brain, the cognitive science of "dynamical systems" (and other approaches) reject the idea that minds can be entirely accounted for algorithmically. And maybe actual life needs to be present before something can be declared conscious. He also warns that "Many social and psychological factors, including some well-understood cognitive biases, predispose us to overattribute consciousness to machines." But then his essay reaches a surprising conclusion: As redundant as it may sound, nobody should be deliberately setting out to create conscious AI, whether in the service of some poorly thought-through techno-rapture, or for any other reason. Creating conscious machines would be an ethical disaster. We would be introducing into the world new moral subjects, and with them the potential for new forms of suffering, at (potentially) an exponential pace. And if we give these systems rights, as arguably we should if they really are conscious, we will hamper our ability to control them, or to shut them down if we need to. Even if I'm right that standard digital computers aren't up to the job, other emerging technologies might yet be, whether alternative forms of computation (analogue, neuromorphic, biological and so on) or rapidly developing methods in synthetic biology. For my money, we ought to be more worried about the accidental emergence of consciousness in cerebral organoids (brain-like structures typically grown from human embryonic stem cells) than in any new wave of LLM. But our worries don't stop there. When it comes to the impact of AI in society, it is essential to draw a distinction between AI systems that are actually conscious and those that persuasively seem to be conscious but are, in fact, not. While there is inevitable uncertainty about the former, conscious-seeming systems are much, much closer... Machines that seem conscious pose serious ethical issues distinct from those posed by actually conscious machines. For example, we might give AI systems "rights" that they don't actually need, since they would not actually be conscious, restricting our ability to control them for no good reason. More generally, either we decide to care about conscious-seeming AI, distorting our circles of moral concern, or we decide not to, and risk brutalizing our minds. As Immanuel Kant argued long ago in his lectures on ethics, treating conscious-seeming things as if they lack consciousness is a psychologically unhealthy place to be... One overlooked factor here is that even if we know, or believe, that an AI is not conscious, we still might be unable to resist feeling that it is. Illusions of artificial consciousness might be as impenetrable to our minds as some visual illusions... What's more, because there's no consensus over the necessary or sufficient conditions for consciousness, there aren't any definitive tests for deciding whether an AI is actually conscious.... Illusions of conscious AI are dangerous in their own distinctive ways, especially if we are constantly distracted and fascinated by the lure of truly sentient machines... If we conflate the richness of biological brains and human experience with the information-processing machinations of deepfake-boosted chatbots, or whatever the latest AI wizardry might be, we do our minds, brains and bodies a grave injustice. If we sell ourselves too cheaply to our machine creations, we overestimate them, and we underestimate ourselves... The sociologist Sherry Turkle once said that technology can make us forget what we know about life. It's about time we started to remember.

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"Astronomers are preparing to capture a movie of a supermassive black hole in action for the first time," reports the Guardian: The Event Horizon Telescope (EHT) will track the colossal black hole at the heart of the Messier 87 galaxy throughout March and April with the aim of capturing footage of the swirling disc that traces out the edge of the event horizon, the point beyond which no light or matter can escape... The EHT is a global network of 12 radio telescopes spanning locations from Antarctica to Spain and Korea, which in 2019 unveiled the first image of a black hole's shadow. During March and April, as the Earth rotates, M87's central black hole will come into view for different telescopes, allowing a complete image to be captured every three days... Measuring the black hole's spin speed matters because this could help discriminate between competing theories of how these objects reached such epic proportions. If black holes grow mostly through accretion — steadily snowballing material that strays nearby — they would be expected to end up spinning at incredibly high speeds. By contrast, if black holes expand mostly through merging with other black holes, each merger could slow things down. The observations could also help explain how black hole jets are formed, which are among the largest, most powerful structures produced by galaxies. Jets channel vast columns of gas out of galaxies, slowing down the formation of new stars and limiting galaxy growth. In turn this can create dense pockets of material that trigger bursts of star formation beyond the host galaxy... While the movie campaign will take place in the spring, the sheer volume of data produced by the telescopes means the scientists will need to wait for Antarctic summer before the hard drives can be physically shipped to Germany and the US for processing. So it is likely to be a lengthy wait before the rest of the world gets a glimpse of the black hole in action. In a correction, the Guardian apologizes for originally including an AI-generated illustration of black hole with a caption suggesting it was a photo from telescopes. They've since swapped in an actual picture of the Messier 87 galaxy black hole.

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Porsche made an announcement Friday. In Europe they sold more electrified Porsches last year than pure combustion-engined models, reports Electrek: in Europe, a majority (57.9%) of Porsche's deliveries were plug-ins, with 1/3 of its European sales being fully electric. For models that have no fully electric version but do have a PHEV (Cayenne and Panamera), the plug-in hybrid version dominated sales. Of particular note, the Macan sold better with an electric powertrain than it did with a gas one, and was the company's strongest-selling model line and the line with the largest sales growth. The Macan sold 84,328 units globally (up 2% from last year), with 45,367 (53.8%) of those being electric. That 53.8% may seem like a slim majority, but when compared to EV sales globally, it's incredibly high. About a quarter of new cars sold globally were electric in 2025, so Porsche is beating that number with the one model where direct comparisons are available. And even in the US, about a third of Macans sold were electric. That's notable given the tough year EVs had in the US, with it being the only major car-buying region that experienced a tick down in EV sales... And again, while 1/3 is a minority of Macan sales in the US, it's also well over the US' average ~10% EV sales. So it's clear the EV Macan isn't just performing like an average EV, but well beyond it. The article adds that "we're quite excited about the Cayenne EV, which will be the most powerful Porsche ever."

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U.S. college graduates "have historically found jobs more quickly than people with only a high school degree," writes Bloomberg. "But that advantage is becoming a thing of the past, according to new research from the Federal Reserve Bank of Cleveland." "Recently, the job-finding rate for young college-educated workers has declined to be roughly in line with the rate for young high-school-educated workers, indicating that a long period of relatively easier job-finding prospects for college grads has ended," Cleveland Fed researchers Alexander Cline and BarıÅY Kaymak said in a blog post published Monday. The study follows the latest monthly employment data released on Nov. 20, which showed the unemployment rate for college-educated workers continued to rise in September amid an ongoing slowdown in white-collar hiring... The unemployment rate for people between the ages of 20 to 24 was 9.2% in September, up 2.2 percentage points from a year prior. There is a caveat. "Young college graduates maintain advantages in job stability and compensation once hired..." the researchers write. "The convergence we document concerns the initial step of securing employment rather than overall labor market outcomes." Their research includes a graph showing how the "unemployment gap" first increased dramatically after 2010 between college-educated and high school-educated workers, which the researchers attribute to "the prolonged jobless recovery after 2008". But that gap has been closing ever since, with that gap now smaller than at any time since the 1970s. "Young high school workers are riding the wave of the historically tight postpandemic labor market with well-below-average unemployment compared to that of past high school graduates, while young college workers are experiencing unemployment rates rarely observed among past college cohorts barring during recessions." The labor market advantages conferred by a college degree have historically justified individual investment in higher education and expanding support for college access. If the job-finding rate of college graduates continues to decline relative to the rate for high school graduates, we may see a reversal of these trends. The convergence we document concerns the initial step of securing employment rather than overall labor market outcomes. These details suggest a nuanced shift in employment dynamics, one in which college graduates face greater difficulty finding jobs than previously but maintain advantages compared with high school graduates in job stability and compensation once hired. Two key quotes: "Declining job prospects among young college graduates may reflect the continued growth in college attainment, adding ever larger cohorts of college graduates to the ranks of job seekers, even though technology no longer favors college-educated workers." "Developments related to AI, which may be affecting job-finding prospects in some cases, cannot explain the decades-long decline in the college job-finding rate."

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U.S. college graduates "have historically found jobs more quickly than people with only a high school degree," writes Bloomberg. "But that advantage is becoming a thing of the past, according to new research from the Federal Reserve Bank of Cleveland." "Recently, the job-finding rate for young college-educated workers has declined to be roughly in line with the rate for young high-school-educated workers, indicating that a long period of relatively easier job-finding prospects for college grads has ended," Cleveland Fed researchers Alexander Cline and BarıÅY Kaymak said in a blog post published Monday. The study follows the latest monthly employment data released on Nov. 20, which showed the unemployment rate for college-educated workers continued to rise in September amid an ongoing slowdown in white-collar hiring... The unemployment rate for people between the ages of 20 to 24 was 9.2% in September, up 2.2 percentage points from a year prior. There is a caveat. "Young college graduates maintain advantages in job stability and compensation once hired..." the researchers write. "The convergence we document concerns the initial step of securing employment rather than overall labor market outcomes." Their research includes a graph showing how the "unemployment gap" first increased dramatically after 2010 between college-educated and high school-educated workers, which the researchers attribute to "the prolonged jobless recovery after 2008". But that gap has been closing ever since, with that gap now smaller than at any time since the 1970s. "Young high school workers are riding the wave of the historically tight postpandemic labor market with well-below-average unemployment compared to that of past high school graduates, while young college workers are experiencing unemployment rates rarely observed among past college cohorts barring during recessions." The labor market advantages conferred by a college degree have historically justified individual investment in higher education and expanding support for college access. If the job-finding rate of college graduates continues to decline relative to the rate for high school graduates, we may see a reversal of these trends. The convergence we document concerns the initial step of securing employment rather than overall labor market outcomes. These details suggest a nuanced shift in employment dynamics, one in which college graduates face greater difficulty finding jobs than previously but maintain advantages compared with high school graduates in job stability and compensation once hired. Two key quotes: "Declining job prospects among young college graduates may reflect the continued growth in college attainment, adding ever larger cohorts of college graduates to the ranks of job seekers, even though technology no longer favors college-educated workers. "Developments related to AI, which may be affecting job-finding prospects in some cases, cannot explain the decades-long decline in the college job-finding rate.

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Last week a University of Arizona astronomy professor "watched anxiously...as an awe-inspiring SpaceX Falcon 9 rocket carried NASA's new exoplanet telescope, Pandora, into orbit." In 2018 NASA had approached Daniel Apai to help build the telescope, which he says will "shatter a barrier — to understand and remove a source of noise in the data — that limits our ability to study small exoplanets in detail and search for life on them." Astronomers have a trick to study exoplanet atmospheres. By observing the planets as they orbit in front of their host stars, we can study starlight that filters through their atmospheres... But, starting from 2007, astronomers noted that starspots — cooler, active regions on the stars — may disturb the transit measurements. In 2018 and 2019, then-Ph.D. student Benjamin V. Rackham, astrophysicist Mark Giampapa and I published a series of studies showing how darker starspots and brighter, magnetically active stellar regions can seriously mislead exoplanets measurements. We dubbed this problem "the transit light source effect...." In our papers — published three years before the 2021 launch of the James Webb Space Telescope - we predicted that the Webb cannot reach its full potential. We sounded the alarm bell... Pandora will do what Webb cannot: It will be able to patiently observe stars to understand how their complex atmospheres change. By staring at a star for 24 hours with visible and infrared cameras, it will measure subtle changes in the star's brightness and colors. When active regions in the star rotate in and out of view, and starspots form, evolve and dissipate, Pandora will record them. While Webb very rarely returns to the same planet in the same instrument configuration and almost never monitors their host stars, Pandora will revisit its target stars 10 times over a year, spending over 200 hours on each of them. It's the first space telescope "built specifically for detailed multi-color observations of starlight filtered through the atmospheres of exoplanets," reports the Arizona Daily Star, noting the University of Arizona will serve as mission control: [T]echnicians will operate Pandora in real time and monitor its telemetry and overall health under a contract with NASA... The spacecraft will undergo about a month of commissioning before beginning science operations, which are scheduled to last for a year... Pandora was selected as part of NASA's Astrophysics Pioneers program, which was created in 2020 to foster compelling, relatively low-cost science missions using smaller, cheaper hardware and flight platforms with a price cap of no more than $20 million. By comparison, the Webb telescope — the largest and most powerful astronomical observatory ever sent into space — carries a pricetag of about $10 billion. Pandora is a joint mission NASA and California's Lawrence Livermore National Laboratory.

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The European Commission "has opened a public call for evidence on European open digital ecosystems," writes Help Net Security, part of preparations for an upcoming Communication "that will examine the role of open source in EU's digital infrastructure." The consultation runs from January 6 to February 3, 2026. Submissions will be used to shape a Commission Communication addressed to the European Parliament, the Council, and other EU bodies, which is scheduled for publication in the first quarter of 2026... The call for evidence links Europe's reliance on digital technologies developed outside the EU to concerns over long term control of infrastructure and software supply chains... Open digital ecosystems are discussed in the context of technological sovereignty and the use of technologies that can be inspected, adapted, and shared. Long-time Slashdot reader Elektroschock describes it as the European Commission "stepping up its efforts behind open-source software" Building on President von der Leyen's political guidelines, the initiative will review the Commission's 2020-2023 open-source approach and set out concrete actions to strengthen Europe's open-source ecosystem across key areas such as cloud, AI, cybersecurity and industrial technologies. The strategy will be presented alongside the upcoming Cloud and AI Development Act, forming a broader policy package aimed at reducing strategic dependencies and boosting Europe's digital resilience. And "In just a few days, over 370 submissions have already been filed, indicating that the issue is touching a nerve across the EU," writes CyberNews.com: "Europe must regain control over its software supply chain to safeguard freedom, security, and innovation," suggests an individual from Slovakia. Similar perspectives appear to be widely shared among respondents... The document doesn't mention US tech giants specifically, but rather aims to support tech sovereignty and seek "digital solutions that are valid alternatives to proprietary ones...." "This is not a legislative initiative. The strategy will take the form of a Commission communication. The initiative will set out a general approach and will propose: actions relying on further commitments and an implementation process," the EC explains. Policymakers expect the strategy to help EU member states identify the necessary steps to support national open-source companies and communities.

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The senior editor at the blog Windows Central decries two serious Windows issues "that were not spotted by Microsoft during testing, and are so severe that the company has now issued an emergency fix to address the problems." Microsoft's first update for Windows 11 in 2026 has already caused two major issues that saw users unable to fully shutdown their PCs or sign-in into a device when using Remote Desktop... Being unable to shut down your PC due to a recent OS update is a huge oversight on Microsoft's part, but this is the latest in a long list of updates over the last year to cause a major issue like this... Other issues that have cropped up in Windows 11 in the last year include a bug that caused Task Manager to fail to close when the user exited the application, causing system resources to lock up after a prolonged period of time if the user had opened and closed Task Manager multiple times in a session. Another update caused saw File Explorer flashbang users with a white screen when opening it in dark mode, which appeared in an update that was supposed to improve dark mode on Windows 11... For whatever reason, the Windows Insider Program doesn't appear to be working anymore, as severe bugs are somehow making it into shipping versions of the OS. "The out of band updates, KB5077744 and KB5077797, are available now via Windows Update and is rolling out to everybody," they write. "Once installed, your PC should go back to being able to shut down successfully, and signing-in via Remote Desktop should work again." Microsoft has also officially acknowledged a third bug which crashes Outlook Classic when using POP accounts, according to the blog Windows Latest, which adds that that bug has not yet been fixed. They've also identified other minor bugs, including "a black screen problem in Windows 11 KB5074109... either due to the update itself or some compatibility issues with GPU drivers." After you install the January 2026 Update, Windows triggers random black screens where the desktop freezes for a second or two, the display goes black, then everything comes back. I can't pinpoint any specific configuration, but I can confirm the black screen issue has been observed on a small subset of PCs with both Nvidia and AMD GPUs. After you install the January 2026 Update, Windows triggers random black screens where the desktop freezes for a second or two, the display goes black, then everything comes back.

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An anonymous reader shared this report from CNN: Particles from Earth's atmosphere have been carried into space by solar wind and have been landing on the moon for billions of years, mixing into the lunar soil, according to a new study [published in the journal Nature Communications Earth & Environment last month]. The research sheds new light on a puzzle that has endured for over half a century since the Apollo missions brought back lunar samples with traces of substances such as water, carbon dioxide, helium and nitrogen embedded in the regolith — the moon's dusty surface layer. Early studies theorized that the sun was the source of some of these substances. But in 2005 researchers at the University of Tokyo suggested that they could have also originated from the atmosphere of a young Earth before it developed a magnetic field about 3.7 billion years ago. The authors suspected that the magnetic field, once in place, would have stopped the stream by trapping the particles and making it difficult or impossible for them to escape into space. Now, the new research upends that assumption by suggesting that Earth's magnetic field might have helped, rather than blocked, the transfer of atmospheric particles to the moon — which continues to this day. "This means that the Earth has been supplying volatile gases like oxygen and nitrogen to the lunar soil over all this time," said Eric Blackman, coauthor of the new study and a professor in the department of physics and astronomy at the University of Rochester in New York. Earth's magnetic field "somewhat inflates the atmosphere of Earth" when it's hit by solar winds, according to study coauthor Eric Blackman, a physics/astronomy professor at New York's University of Rochester. He told CNN the moon passes through this region for a few days each month, with particles landing on the lunar surface and embedding in the soil (because the moon lacks an atmosphere that would block them). This also means the moon's soil could actually contain a chemical record of Earth's ancient atmosphere, according to the study — "spanning billions of years..."

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Slashdot reader BrianFagioli writes: Acer has filed three separate patent infringement lawsuits against AT&T, Verizon, and T-Mobile, taking the unusual step of hauling the nation's largest wireless carriers into federal court. The suits, filed in the Eastern District of Texas, claim the companies are using Acer-developed cellular networking technology without paying for the privilege. Acer says it tried to negotiate licenses for years but reached a dead end, arguing it was left with no option except litigation. The case centers on six U.S. patents Acer asserts are core to modern wireless networks, rather than anything tied to PCs or laptops. The company describes itself as reluctant to pursue courtroom battles, but it has been quietly building a large global patent portfolio after pouring hundreds of millions of dollars into R&D. Acer also notes that some of its patents count as standard-essential, hinting the carriers may be required to license them. All three companies are expected to push back, and the dispute could become another long-running telecom patent saga. Consumers will not notice any immediate changes, but if Acer wins or settles, it may find a new revenue stream far beyond its traditional hardware business. Further coverage from Hot Hardware

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Long-time Slashdot reader schwit1 shared this report from Futurism: China has unveiled an extremely powerful "hypergravity machine" that can generate forces almost two thousand times stronger than Earth's regular gravity. The futuristic-looking machine, called CHIEF1900, was constructed at China's Centrifugal Hypergravity and Interdisciplinary Experiment Facility (CHIEF) at Zheijang University in Eastern China, and allows researchers to study how extreme forces affect various materials, plants, cells, or other structures, as the South China Morning Post reports... [Once up and running, it will allow researchers to recreate "catastrophic events such as dam failures and earthquakes inside a laboratory, according to the university."] For instance, it can analyze the structural stability of an almost 1,000-feet-tall dam by spinning a ten-foot model at 100 Gs, meaning 100 times the Earth's regular gravity. It could also be used to study the resonance frequencies of high-speed rail tracks, or how pollutants seep into soil over thousands of years. The machine officially dethroned its predecessor, CHIEF1300, which became the world's most powerful centrifuge a mere four months ago... It can generate 1,900 g-tonnes of force, or 1,900 times the Earth's gravity. To put that into perspective, a washing machine only reaches about two g-tonnes.

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European satellite operator Eutelsat "plans to launch 440 Airbus-built LEO satellites in the coming years to replenish and expand its constellation," Reuters reported Friday. And last week America's Federal Communications Commission approved SpaceX's request to deploy another 7,500 Starlink satellites, while Starlink "projects it will eventually have a constellation of 34,000 satellites," writes Fast Company, and Amazon's Project Leo "plans to launch more than 3,200 satellites." Meanwhile "Beijing and some Chinese companies are planning two separate mega-constellations, Guowang and G60 Starlink, totaling nearly 26,000 satellites," and this week the Chinese government "applied for launch permits for 200,000 satellites." But a small Texas-based company called AST SpaceMobile "believes it can provide better service with fewer than 100 gigantic satellites in space." AST SpaceMobile has developed a direct-to-cell technology that utilizes large satellites called BlueBirds. These machines use thousands of antennas to deliver broadband coverage directly to standard mobile phones, says the company's president, Scott Wisniewski. "This approach is remarkably efficient: We can achieve global coverage with approximately 90 satellites, not thousands or even tens of thousands required by other systems," Wisniewski writes in an email... The key is its satellites' size and sophistication. AST's first generation of commercial satellite, the BlueBird 1-5, unfolds into a massive 693-square-foot array in space. Today, the company has five operational BlueBird 1-5 satellites in orbit, but its ambitions are much bigger. On December 24, 2025, AST launched the first of its next-generation satellites from India — called Block 2 — and this one broke records. The BlueBird 6 has a surface of almost 2,400 square feet, making it the largest single satellite in low Earth orbit. The company plans to launch up to 60 more by the end of 2026. "This large surface area is essential for gathering faint signals from standard, unmodified mobile phones on the ground," Wisniewski explains. It is essentially a single, extremely powerful and sensitive cell tower in the sky, capable of serving a huge geographical area... To be clear, AST SpaceMobile's approach is not without its own controversies. The sheer size of the company's satellites makes them incredibly bright in the night sky, a significant source of frustration for ground-based astronomers. McDowell confirms that when it launched in 2022, AST's prototype satellite, BlueWalker 3, became "one of the top 10 brightest objects in the night sky for a while." "It's a serious issue, and we are working directly with the astronomy community to mitigate our impact," Wisniewski says. The company is exploring solutions like anti-reflective coatings and operational adjustments to minimize the time its satellites are at maximum brightness... AST SpaceMobile has already proven its technology works, the article points out, with six working satellites now transmitting at typical 5G speeds directly to regular phones.

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This week Google "unveiled a set of tools for retailers that helps them roll out AI agents," reports the Wall Street Journal, The new retail AI agents, which help shoppers find their desired items, provide customer support and let people order food at restaurants, are part of what Alphabet-owned Google calls Gemini Enterprise for Customer Experience. Major retailers, including home improvement giant Lowe's, the grocer Kroger and pizza chain Papa Johns say they are already using Google's tools to help prepare for the incoming wave of AI-assisted shopping and ordering... Kicking off the race among tech giants to get ahead of this shift, OpenAI released its Instant Checkout feature last fall, which lets users buy stuff directly through its chatbot ChatGPT. In January, Microsoft announced a similar checkout feature for its Copilot chatbot. Soon after OpenAI's release last year, Walmart said it would partner with OpenAI to let shoppers buy its products within ChatGPT. But that's just the beginning, reports the New York Times, with hundreds of start-ups also vying for the attention of retailers: There are A.I. start-ups that offer in-store cameras that can detect a customer's age or gender, robots that manage shelves on their own and headsets that give store workers access to product information in real time... The scramble to exploit artificial intelligence is happening across the retail spectrum, from the highest echelons of luxury goods to the most pragmatic of convenience stores. 7-Eleven said it was using conversational A.I. to hire staff at its convenience stores through an agent named Rita (Recruiting Individuals Through Automation). Executives said that they no longer had to worry about whether applicants would show up to interviews and that the system had reduced hiring time, which had taken two weeks, to less than three days. The article notes that at the National Retail Federation conference, other companies showing their AI advancements included Applebee's, IHOP, the Vitamin Shoppe, Urban Outfitters, Rag & Bone, Kendra Scott, Michael Kors and Philip Morris.

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=[ "More than half of all cryptocurrencies ever launched are now defunct," reports CoinDesk, citing a new analysis by cryptocurrency data aggregator CoinGecko. And most of those failures occurred in 2025: The study looked at token listings on GeckoTerminal between mid-2021 and the end of 2025. Of the nearly 20.2 million tokens that entered the market during that period, 53.2% are no longer actively traded. A staggering 11.6 million of those failures happened in 2025 alone — accounting for 86.3% of all token deaths over the past five years. One key driver behind the surge in dead tokens was the rise of low-effort memecoins and experimental projects launched via crypto launchpads like pump.fun, CoinGecko analyst Shaun Paul Lee said. These platforms lowered the barrier to entry for token creation, leading to a wave of speculative assets with little or no development backing. Many of these tokens never made it past a handful of trades before disappearing.

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At the AI safety site Foom, science journalist Mordechai Rorvig explores a paper presented at November's Empirical Methods in Natural Language Processing conference: [R]esearchers at the Swiss Federal Institute of Technology (EPFL), the Massachusetts Institute of Technology (MIT), and Georgia Tech revisited earlier findings that showed that language models, the engines of commercial AI chatbots, show strong signal correlations with the human language network, the region of the brain responsible for processing language... The results lend clarity to the surprising picture that has been emerging from the last decade of neuroscience research: That AI programs can show strong resemblances to large-scale brain regions — performing similar functions, and doing so using highly similar signal patterns. Such resemblances have been exploited by neuroscientists to make much better models of cortical regions. Perhaps more importantly, the links between AI and cortex provide an interpretation of commercial AI technology as being profoundly brain-like, validating both its capabilities as well as the risks it might pose for society as the first synthetic braintech. "It is something we, as a community, need to think about a lot more," said Badr AlKhamissi, doctoral student in computer science at EPFL and first author of the preprint, in an interview with Foom. "These models are getting better and better every day. And their similarity to the brain [or brain regions] is also getting better — probably. We're not 100% sure about it...." There are many known limitations with seeing AI programs as models of brain regions, even those that have high signal correlations. For example, such models lack any direct implementations of biochemical signalling, which is known to be important for the functioning of nervous systems. However, if such comparisons are valid, then they would suggest, somewhat dramatically, that we are increasingly surrounded by a synthetic braintech. A technology not just as capable as the human brain, in some ways, but actually made up of similar components. Thanks to Slashdot reader Gazelle Bay for sharing the article.

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As 2026 begins, MIT Technology Review publishes "educated guesses" on emerging technologies that will define the future, advances "we think will drive progress or incite the most change — for better or worse — in the years ahead." This year's list includes next-gen nuclear, gene-editing drugs (as well as the "resurrection" of ancient genes from extinct creatures), and three AI-related developments: AI companions, AI coding tools, and "mechanistic interpretability" for revealing LLM decision-making. But also on the list is sodium-ion batteries, "a cheaper, safer alternative to lithium." Backed by major players and public investment, they're poised to power grids and affordable EVs worldwide. [Chinese battery giant CATL claims to have already started manufacturing sodium-ion batteries at scale, and BYD also plans a massive production facility for sodium-ion batteries.] The most significant impact of sodium-Âion technology may be not on our roads but on our power grids. Storing clean energy generated by solar and wind has long been a challenge. Sodium-ion batteries, with their low cost, enhanced thermal stability, and long cycle life, are an attractive alternative. Peak Energy, a startup in the US, is already deploying grid-scale sodium-ion energy storage. Sodium-ion cells' energy density is still lower than that of high-end lithium-ion ones, but it continues to improve each year — and it's already sufficient for small passenger cars and logistics vehicles. And another "breakthrough technology" on their list is commercial space stations: Vast Space from California, plans to launch its Haven-1 space station in May 2026 on a SpaceX Falcon 9 rocket. If all goes to plan, it will initially support crews of four people staying aboard the bus-size habitat for 10 days. Paying customers will be able to experience life in microgravity and conduct research such as growing plants and testing drugs. On its heels will be Axiom Space's outpost, the Axiom Station, consisting of five modules (or rooms). It's designed to look like a boutique hotel and is expected to launch in 2028. Voyager Space aims to launch its version, called Starlab, the same year, and Blue Origin's Orbital Reef space station plans to follow in 2030. Thanks to long-time Slashdot reader sandbagger for sharing the article.

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In December 2024 the Google Threat Intelligence Group published research on the code of the commercial spyware "Predator". But there's now been new research by Jamf (the company behind a mobile device management solution) showing Predator is more dangerous and sophisticated than we realized, according to SecurityWeek. Long-time Slashdot reader wiredmikey writes: The new research reveals an error taxonomy that reports exactly why deployments fail, turning black boxes into diagnostic events for threat actors. Almost exclusively marketed to and used by national governments and intelligence agencies, the spyware also detects cybersecurity tools, suppresses forensics evidence, and has built-in geographic restrictions.

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Ars Technica reports: Security firm Mandiant [part of Google Cloud] has released a database that allows any administrative password protected by Microsoft's NTLM.v1 hash algorithm to be hacked in an attempt to nudge users who continue using the deprecated function despite known weaknesses.... a precomputed table of hash values linked to their corresponding plaintext. These generic tables, which work against multiple hashing schemes, allow hackers to take over accounts by quickly mapping a stolen hash to its password counterpart... Mandiant said it had released an NTLMv1 rainbow table that will allow defenders and researchers (and, of course, malicious hackers, too) to recover passwords in under 12 hours using consumer hardware costing less than $600 USD. The table is hosted in Google Cloud. The database works against Net-NTLMv1 passwords, which are used in network authentication for accessing resources such as SMB network sharing. Despite its long- and well-known susceptibility to easy cracking, NTLMv1 remains in use in some of the world's more sensitive networks. One reason for the lack of action is that utilities and organizations in industries, including health care and industrial control, often rely on legacy apps that are incompatible with more recently released hashing algorithms. Another reason is that organizations relying on mission-critical systems can't afford the downtime required to migrate. Of course, inertia and penny-pinching are also causes. "By releasing these tables, Mandiant aims to lower the barrier for security professionals to demonstrate the insecurity of Net-NTLMv1," Mandiant said. "While tools to exploit this protocol have existed for years, they often required uploading sensitive data to third-party services or expensive hardware to brute-force keys." "Organizations that rely on Windows networking aren't the only laggards," the article points out. "Microsoft only announced plans to deprecate NTLMv1 last August." Thanks to Slashdot reader joshuark for sharing the news.

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