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A report from the Google Threat Intelligence Group shows adversaries misusing AI to enhance their operations.

A report from the Google Threat Intelligence Group shows adversaries misusing AI to enhance their operations.

DRAM contract prices surged 171.8% year-over-year as of the third quarter of 2025. The increase now exceeds the rate at which gold prices have climbed. ADATA chairman Chen Libai stated that the fourth quarter of 2025 will mark the beginning of a major DRAM bull market. He expects severe shortages to materialize in 2026. Memory manufacturers have shifted production priorities toward datacenter-focused memory types like RDIMM and HBM. Consumer DDR5 production has declined as a result. A Corsair Vengeance RGB dual-channel DDR5 kit that sold for $91 dollars in July now costs a $183 dollars on Newegg. The pricing trend extends to NAND flash and hard drives. Analysts project the increases will persist for at least four years, matching the duration of supply contracts that some companies have signed with Samsung and SK Hynix.

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Getting around is easier than ever thanks to Gemini capabilities and our trusted real-world information.Getting around is easier than ever thanks to Gemini capabilities and our trusted real-world information.

Prepare to take on traffic with the infamous illusionists, Atlas and Henley, from "Now You See Me: Now You Don’t" arriving to theaters November 14. Join two of the origi…

7 Linux commands I can't live without after 20 years in the terminal  ZDNET

Russian hackers hit Windows machines via Linux VMs with new custom malware  TechRadar

LXQt 2.3 Desktop Environment Released with New Features and Enhancements  9to5Linux

Google Maps is getting a Gemini upgrade that makes navigating smarter and easier.

Sonic Rumble has arrived on Steam and works on Linux / Steam Deck  GamingOnLinux

Linux Gaming Is On The Rise – Should Microsoft Be Worried?  GamesHub

Google Arts & Culture is launching a new Nature & AI experiment that invites people everywhere to listen to the sounds of the Brazilian rainforests to help monitor their…Google Arts & Culture is launching a new Nature & AI experiment that invites people everywhere to listen to the sounds of the Brazilian rainforests to help monitor their biodiversity health

Russian hackers’ sneaky innovation: run malware on a virtual machine in parallel to Windows  Cybernews

President Trump has re-nominated tech billionaire and private astronaut Jared Isaacman to lead NASA, reversing his earlier withdrawal over concerns about Isaacman's political affiliations. CBS News reports: Mr. Trump nominated Isaacman to the Senate-confirmed post last year, but announced in late May he had decided to withdraw Isaacman after a "thorough review" of his "prior associations." Weeks after the withdrawal, the president went further in expressing his concerns about Isaacman's credentials. At the time, Mr. Trump acknowledged that he thought Isaacman "was very good," but had been "surprised to learn" that Isaacman was a "blue-blooded Democrat, who had never contributed to a Republican before." [...] Mr. Trump made no mention of his previous decision to nominate and then withdraw Isaacman in his Tuesday evening announcement of the re-nomination on his Truth Social platform. "This evening, I am pleased to nominate Jared Isaacman, an accomplished business leader, philanthropist, pilot, and astronaut, as Administrator of NASA," Trump posted. "Jared's passion for Space, astronaut experience, and dedication to pushing the boundaries of exploration, unlocking the mysteries of the universe, and advancing the new Space economy, make him ideally suited to lead NASA into a bold new Era."

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Pro-Russian hackers hide in Windows with Linux VMs  Techzine Global

Google Play’s Diamond Valley mini-game is live in the UK. Hunt diamonds to win prizes like Pixel devices, merch, and Play Points.

Longtime Slashdot reader hackingbear writes: South China Morning Post, citing Chinese state media, reported that an experimental reactor developed in the Gobi Desert by the Chinese Academy of Sciences' Shanghai Institute of Applied Physics has achieved thorium-to-uranium fuel conversion, paving the way for an almost endless supply of nuclear energy. It is the first time in the world that scientists have been able to acquire experimental data on thorium operations from inside a molten salt reactor according to a report by Science and Technology Daily. Thorium is much more abundant and accessible than uranium and has enormous energy potential. One mine tailings site in Inner Mongolia is estimated to hold enough of the element to power China entirely for more than 1,000 years. At the heart of the breakthrough is a process known as in-core thorium-to-uranium conversion that transforms naturally occurring thorium-232 into uranium-233 -- a fissile isotope capable of sustaining nuclear chain reactions within the reactor itself. Thorium (Th-232) is not itself fissile and so is not directly usable in a thermal neutron reactor. Thorium fuels therefore need a fissile material as a 'driver' so that a chain reaction (and thus supply of surplus neutrons) can be maintained. The only fissile driver options are U-233, U-235 or Pu-239. (None of these are easy to supply.) In the 1960s, the Oak Ridge National Laboratory (USA) designed and built a demonstration MSR using U-233, derived externally from thorium as the main fissile driver.

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SUSE unveils SLES 16 with integrated agentic AI & 16-year support  SecurityBrief New Zealand

An anonymous reader quotes a report from Ars Technica: Although Google DeepMind's Weather Lab only started releasing cyclone track forecasts in June, the company's AI forecasting service performed exceptionally well. By contrast, the Global Forecast System model, operated by the US National Weather Service and is based on traditional physics and runs on powerful supercomputers, performed abysmally. The official data comparing forecast model performance will not be published by the National Hurricane Center for a few months. However, Brian McNoldy, a senior researcher at the University of Miami, has already done some preliminary number crunching. The results are stunning: A little help in reading the graphic is in order. This chart sums up the track forecast accuracy for all 13 named storms in the Atlantic Basin this season, measuring the mean position error at various hours in the forecast, from 0 to 120 hours (five days). On this chart, the lower a line is, the better a model has performed. The dotted black line shows the average forecast error for official forecasts from the 2022 to 2024 seasons. What jumps out is that the United States' premier global model, the GFS (denoted here as AVNI), is by far the worst-performing model. Meanwhile, at the bottom of the chart, in maroon, is the Google DeepMind model (GDMI), performing the best at nearly all forecast hours. The difference in errors between the US GFS model and Google's DeepMind is remarkable. At five days, the Google forecast had an error of 165 nautical miles compared to 360 nautical miles for the GFS model, more than twice as bad. This is the kind of error that causes forecasters to completely disregard one model in favor of another. But there's more. Google's model was so good that it regularly beat the official forecast from the National Hurricane Center (OFCL), which is produced by human experts looking at a broad array of model data. The AI-based model also beat highly regarded "consensus models," including the TVCN and HCCA products. For more information on various models and their designations, see here.

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The most beautiful Linux distributions for 2025  ZDNET