Linux fréttir

Hybrid of GNUstep and Xfce channels classic NeXT vibes

The latest release of GhostBSD, an easy graphical FreeBSD distribution, includes a brand new macOS-like desktop environment, "Gershwin."…

Digital resurrections of deceased individuals are emerging as the next commercial frontier in AI, with the digital afterlife industry projected to reach $80 billion within a decade. Companies developing these AI avatars are exploring revenue models ranging from interstitial advertising during conversations to data collection about users' preferences. StoryFile CEO Alex Quinn confirmed his company is exploring methods to monetize interactions between users and deceased relatives' digital replicas, including probing for consumer information during conversations. The technology has already demonstrated persuasive capabilities in legal proceedings, where an AI recreation of road rage victim Chris Pelkey delivered testimony that contributed to a maximum sentence. Current implementations operate through subscription models, though no federal regulations govern commercial applications of posthumous AI representations despite state-level protections for deceased individuals' likeness rights.

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Attackers steal OAuth tokens to access third-party sales platform, then CRM data in 'widespread campaign'

Google says a recent spate of Salesforce-related breaches was caused by attackers stealing OAuth tokens from the third-party Salesloft Drift app.…

An anonymous reader quotes a report from CoinTelegraph: Paying interest on stablecoin deposits could spark a wave of bank outflows similar to the money market fund boom of the 1980s, Citi's Future of Finance head Ronit Ghose warned in a report published Monday. According to the Financial Times, Ghose compared the potential outflows caused by paying interest on stablecoins to the rise of money market funds in the late 1970s and early 1980s. Those funds ballooned from about $4 billion in 1975 to $235 billion in 1982, outpacing banks whose deposit rates were tightly regulated, Federal Reserve data showed. Withdrawals from bank accounts exceeded new deposits by $32 billion between 1981 and 1982. Sean Viergutz, banking and capital markets advisory leader at consultancy PwC, similarly suggested that a shift from consumers to higher-yielding stablecoins could spell trouble for the banking sector. "Banks may face higher funding costs by relying more on wholesale markets or raising deposit rates, which could make credit more expensive for households and businesses," he said. The GENIUS Act does not allow stablecoin issuers to offer interest to holders, but it does not extend the ban to crypto exchanges or affiliated businesses. The regulatory setup led to a significant reaction by the banking sector. Several US banking groups led by the Bank Policy Institute have urged local regulators to close what they say is a loophole that may indirectly allow stablecoin issuers to pay interest or yields on stablecoins. In a recent letter, the organization argued that the so-called loophole may disrupt the flow of credit to American businesses and families, potentially triggering $6.6 trillion in deposit outflows from the traditional banking system.

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Because the DBaaS has lately become AI-tastic, among other things

It's less than two years since MariaDB spun out SkySQL, but it's already unspinning the database-as-a-service outfit, which has since been marinated in AI sauce.…

$23B deal with AT&T shows where the money is

US telco EchoStar, valued around $14.5 billion on Wednesday morning, has sold its American spectrum allocation to AT&T for $23 billion.…

The DevOps dance has new steps, but Virtzilla thinks it can teach ops folks to tango

Private clouds are all about keeping developers happy and productive, according to Krish Prasad, senior veep and general manager of Broadcom's VMware Cloud Foundation division.…

Explosions all expected and on schedule this time

SpaceX has finally managed a test flight of Starship without anything creating an impromptu firework display.…

schwit1 shares a report from the Korea Herald: Korean Air, South Korea's flagship carrier, on Tuesday announced a sweeping $50 billion deal to purchase next-generation aircraft from Boeing and spare engines from GE Aerospace and CFM International, its largest-ever investment aimed at fueling long-term growth. The deal, signed during President Lee Jae Myung's visit to Washington, includes $36.2 billion for 103 Boeing aircraft, $690 million for 19 spare engines, and a $13 billion long-term engine maintenance contract. The fleet order spans a wide mix of models: 20 Boeing 777-9s, 25 Boeing 787-10s, 50 Boeing 737-10s, and eight Boeing 777-8F freighters. Deliveries will be phased through the end of the 2030s. Korean Air will also acquire 11 spare engines from GE Aerospace and eight from CFM International, alongside a 20-year maintenance service agreement with GE covering 28 aircraft.

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Vendor insists passkeys are the future, but getting workers on board is proving difficult

Infosec pros are losing confidence in their identity providers' ability to keep attackers out, with Cisco-owned Duo warning that the industry is facing what it calls "an identity crisis."…

Analysts warn cooling demands could outstrip supplies as heatwaves intensify

Water scarcity is rising up the agenda as one of the major concerns for datacenters in Europe following an unusually hot and dry summer, marked by intense heatwaves in southern parts of the continent.…

Quick, get some investment money before the bubble bursts

The number of companies developing AI processor chips now numbers well over a hundred, according to new research.…

Chipzilla's first datacenter part to use 18A process tech is another core-packed monster

Hot Chips The first datacenter silicon to use Intel's two-nanometer-class 18A process tech won't arrive for a while yet, but that's not stopping the struggling x86 giant from making its sales pitch early.…

alternative_right shares a report from Phys.org: You've probably heard it before in a meeting: 'Let's touch base offline to align our bandwidth on this workflow.' Corporate jargon like this is easy to laugh at -- but its negative impact in the office can be serious. According to a new study, using too much jargon in the workplace can hurt employees' ability to process messages, leading them to experience negative feelings and making them feel less confident. In turn, they're less likely to reach out and ask for or share information with their colleagues. "You need people to be willing to collaborate, share ideas and look for more information if they don't understand something at work," said Olivia Bullock, Ph.D., an assistant professor of advertising at the University of Florida and co-author of the new study. "And jargon might actually be impeding that information flow across teams." Age made a difference, though. Older workers had a harder time processing jargon, but were more likely to intend to ask for more information to clarify the message. Younger employees were less likely to seek and share information when confused by jargon. "It gives credence to the idea that younger people are more vulnerable to these workplace dynamics," Bullock said. "If you're onboarding younger employees, explain everything clearly." The findings have been published in the International Journal of Business Communication.

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Securing internet infrastructure remains a challenging endeavour

Systems Approach I’ve been working on a chapter about infrastructure security for our network security book.…

Suspects this was Beijing-backed Typhoon and/or Panda crew targeting diplomats in Asia

Google has warned customers of a suspected state-backed attack after observing a web traffic hijacking campaign.…

An anonymous reader quotes a report from ScienceAlert: A genetically modified pig lung transplanted into a brain-dead human patient functioned for nine days in a new achievement that reveals both the promise and significant challenges of xenotransplantation. Over the course of the experiment, the patient showed increasing signs of organ rejection before scientists at the First Affiliated Hospital of Guangzhou Medical University in China terminated the experiment, allowing the recipient to pass away. It's the first time a pig lung has been transplanted into a human patient, demonstrating a significant step forward, and giving scientists new problems to solve as they develop this emerging medical technique further. [...] The goal of the experiment was not to achieve a successful transplantation on the first try -- that would have been pretty incredible, but not a realistic expectation. Rather, the researchers wanted to observe how the patient's immune system responded to the transplanted organ. The patient was a 39-year-old man who was declared brain-dead by four separate clinical assessments after undergoing a brain hemorrhage. His family provided written informed consent for the experiment. The donor pig is what is known as a six-gene-edited pig, a Bama miniature pig with six CRISPR gene edits, housed in an isolated facility with rigorous disinfection protocols. These edits are all focused on minimizing the immune and inflammatory responses of the patient. In a careful surgical procedure, the pig's left lung was placed into the patient's chest cavity, and connected to their airways, arteries, and veins. The paper does not explain the fate of the pig, but donor pigs do not typically survive the removal of a major organ. The patient was also treated with a number of immunosuppressants that the researchers adjusted according to changes observed in the patient's body over time. Initially, all seemed well, with none of the immediate signs of hyperacute rejection in the critical few hours following the procedure. However, by 24 hours after the transplant had taken place, severe swelling (edema) was observed, possibly as a result of blood flow being restored to the area of the transplant. Antibody-mediated rejection damaged the tissue further on days three and six of the experiment. The result of the damage was primary graft dysfunction, a type of severe lung injury occurring within 72 hours of a transplant, and the leading cause of death in lung transplant patients. Some recovery was taking place by day nine, but the experiment had run its course. The research has been published in Nature Medicine.

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Canada's tech job market has collapsed from its pandemic-era boom, with postings down 19% from 2020 levels. Analysts say the decline was sharper than the overall job market and worsened after ChatGPT's debut in 2022 fueled AI-driven shifts in workforce demand. The Canadian Press reports: "The Canadian tech world remains stuck in a hiring freeze," said Brendon Bernard, Indeed's senior economist. "While both the tech job market and the overall job market have definitely cooled off from their 2022 peaks, the cool off has been much sharper in tech." He thinks the fall was likely caused by the market adjusting after a pandemic boom in hiring along with recent artificial intelligence advances that have reduced tech firms' interest in expanding their workforces. "We went from this really hot job market with job postings through the roof to one where job postings really crashed, falling well below their pre-pandemic levels," Bernard said. However, he sees AI's recent boom as a "watershed moment." While much of the decline in tech job postings has been in software engineer roles, Indeed found hiring for AI-related jobs was still up compared to early 2020. In fact, machine learning engineers and roles that support AI infrastructure, such as data engineers and data centre technicians, were among the job titles with postings still above early-2020 levels. At the same time, Indeed saw postings for senior and manager-level tech jobs drop sharply from their 2022 peak, but as of early 2025, they were still up five per cent from their pre-pandemic levels. Meanwhile, basic and junior tech titles were down 25 per cent. When it compared Canada's overall decline in tech job postings, Indeed found the country's decrease from pre-pandemic levels was somewhat milder than the retrenchment it has observed in the U.S., U.K., France and Germany. The U.S. fall amounted to 34 per cent, while in the U.K. it was 41 per cent. France saw a 38 per cent drop and Germany experienced a 29 per cent decrease. "All this just highlights is that this tech hiring freeze is a global tech hiring freeze," Bernard said.

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'They have to give us magnets'

world war fee The Chinese lockdown on rare-earth minerals has drawn the ire of President Trump, who is threatening crushing tariffs if the Middle Kingdom doesn't cough up more rare earths.…

Google DeepMind's new "nano banana" model (officially named Gemini 2.5 Flash Image) has taken the top spot on AI image-editing leaderboards by delivering far more consistent edits than before. It's being rolled out to the Gemini app today. Ars Technica has the details: AI image editing allows you to modify images with a prompt rather than mucking around in Photoshop. Google first provided editing capabilities in Gemini earlier this year, and the model was more than competent out of the gate. But like all generative systems, the non-deterministic nature meant that elements of the image would often change in unpredictable ways. Google says nano banana (technically Gemini 2.5 Flash Image) has unrivaled consistency across edits -- it can actually remember the details instead of rolling the dice every time you make a change. This unlocks several interesting uses for AI image editing. Google suggests uploading a photo of a person and changing their style or attire. For example, you can reimagine someone as a matador or a '90s sitcom character. Because the nano banana model can maintain consistency through edits, the results should still look like the person in the original source image. This is also the case when you make multiple edits in a row. Google says that even down the line, the results should look like the original source material. Gemini's enhanced image editing can also merge multiple images, allowing you to use them as the fodder for a new image of your choosing. Google's example below takes separate images of a woman and a dog and uses them to generate a new snapshot of the dog getting cuddles -- possibly the best use of generative AI yet. Gemini image editing can also merge things in more abstract ways and will follow your prompts to create just about anything that doesn't run afoul of the model's guard rails.

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