Feed aggregator

GE-Proton 10-14 brings lots of fixes for Windows games on Linux / SteamOS  GamingOnLinux

Orphaned Linux drivers for floppy disks gets first patch of any significance in three years - cleanup effort implies floppies spared the axe for a few more years  Tom's Hardware

Orphaned Linux drivers for floppy disks gets first patch of any significance in three years - cleanup effort implies floppies spared the axe for a few more years  Tom's Hardware

Orphaned Linux drivers for floppy disks gets first patch of any significance in three years - cleanup effort implies floppies spared the axe for a few more years  Tom's Hardware

Orphaned Linux drivers for floppy disks gets first patch of any significance in three years - cleanup effort implies floppies spared the axe for a few more years  Tom's Hardware

Orphaned Linux drivers for floppy disks gets first patch of any significance in three years - cleanup effort implies floppies spared the axe for a few more years  Tom's Hardware

Linux Foundation Backs Open Source Agentgateway To Build First AI-Native Data Plane  Open Source For You

Linux Foundation Backs Open Source Agentgateway To Build First AI-Native Data Plane  Open Source For You

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.

Read more of this story at Slashdot.

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.

Read more of this story at Slashdot.

With Apple M1/M2 Graphics Driver Code Working, Alyssa Rosenzweig Stepping Away From Asahi Linux  Phoronix

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.

Read more of this story at Slashdot.

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.

Read more of this story at Slashdot.

AWS, Microsoft and Google unite behind Linux Foundation DocumentDB database to cut enterprise costs and limit vendor lock-in  VentureBeat

AWS, Microsoft and Google unite behind Linux Foundation DocumentDB database to cut enterprise costs and limit vendor lock-in  VentureBeat

AWS, Microsoft and Google unite behind Linux Foundation DocumentDB database to cut enterprise costs and limit vendor lock-in  VentureBeat

AWS, Microsoft and Google unite behind Linux Foundation DocumentDB database to cut enterprise costs and limit vendor lock-in  VentureBeat

AWS, Microsoft and Google unite behind Linux Foundation DocumentDB database to cut enterprise costs and limit vendor lock-in  VentureBeat

Dish's parent company EchoStar is selling $23 billion worth of 5G spectrum licenses to AT&T and shifting Boost Mobile onto AT&T and T-Mobile networks, effectively abandoning its bid to become the fourth major U.S. wireless carrier. The Verge reports: As part of T-Mobile's deal to acquire Sprint in 2019, the Department of Justice stipulated that another company must replace it as the fourth major wireless carrier. Dish came forward to acquire Boost Mobile from Sprint, paying $1.4 billion to purchase the budget carrier and other prepaid assets. Since then, Dish has spent billions acquiring spectrum to build out its own 5G network, which the company said was close to reaching 80 percent of the US population as of last year, in line with the Federal Communications Commission's deadline to meet certain coverage requirements. But Dish struggled to repay mounting debt, leading it to rejoin EchoStar, the company it originally spun off from in 2008. And at the same time, it came under renewed pressure from the FCC to make use of its spectrum. In April, the Elon Musk-owned SpaceX wrote a letter to the FCC saying EchoStar "barely uses" the AWS-4 (2GHz) spectrum band for satellite connectivity. Weeks later, FCC chair Brendan Carr opened an investigation into EchoStar's 5G expansion, criticizing the company's slow buildout and claiming that it had lost Boost Mobile customers since its acquisition of the carrier. Carr also questioned EchoStar's use of the AWS-4 spectrum, which isn't included in its deal with AT&T. In July, Carr said that he's not concerned with having a fourth mobile provider, saying during an open meeting that there isn't a "magic number" of carriers needed in the US to maintain competition. "We're always looking at a confluence of different factors to make sure that there's sufficient competition," he said, as reported by Fierce Network. Now, EchoStar will become a hybrid mobile network operator, which is a carrier that operates on its own network, in addition to using other companies' infrastructure. As noted in the press release, Boost Mobile will provide connectivity through AT&T towers and the T-Mobile network. "This ensures the survival of Boost Mobile," [said Roger Entner, founder and lead analyst at Recon Analytics]. "It gives them money, but at the end, they don't have much of a network left."

Read more of this story at Slashdot.

These 5 lightweight operating systems can make any slow PC fast  MakeUseOf