LinuxWebLog.com

The DistroWatch news feed is brought to you by TUXEDO COMPUTERS. Network Security Toolkit (NST) is a bootable live disc based on the Fedora distribution. The toolkit was designed to provide easy access to best-of-breed open source network security applications. The project's latest release, version 40-13973, features Linux 6.8.9, the Spiderfoot utility, and Portainer is available for Docker container....

To find or check the NVIDIA driver version on Linux to troubleshoot GPU and graphics card issue, check the /sys/module/nvidia/version and /proc/driver/nvidia/version files. Apart from that, you can try other Linux commands too. Love this? sudo share_on: Twitter - Facebook - LinkedIn - Whatsapp - Reddit The post How to find NVIDIA driver version on Linux appeared first on nixCraft. 2023-04-08T04:32:49Z 2023-04-08T04:32:49Z Vivek Gite

Reddit reported its first results since going public in late March. Yahoo Finance reports: Daily active users increased 37% year over year to 82.7 million. Weekly active unique users rose 40% from the prior year. Total revenue improved 48% to $243 million, nearly doubling the growth rate from the prior quarter, due to strength in advertising. The company delivered adjusted operating profits of $10 million, versus a $50.2 million loss a year ago. [Reddit CEO Steve] Huffman declined to say when the company would be profitable on a net income basis, noting it's a focus for the management team. Other areas of focus include rolling out a new user interface this year, introducing shopping capabilities, and searching for another artificial intelligence content licensing deal like the one with Google. Bloomberg notes that already Reddit "has signed licensing agreements worth $203 million in total, with terms ranging from two to three years. The company generated about $20 million from AI content deals last quarter, and expects to bring in more than $60 million by the end of the year." And elsewhere Bloomberg writes that Reddit "plans to expand its revenue streams outside of advertising into what Huffman calls the 'user economy' — users making money from others on the platform... " In the coming months Reddit plans to launch new versions of awards, which are digital gifts users can give to each other, along with other products... Reddit also plans to continue striking data licensing deals with artificial intelligence companies, expanding into international markets and evaluating potential acquisition targets in areas such as search, he said. Meanwhile, ZDNet notes that this week a Reddit announcement "introduced a new public content policy that lays out a framework for how partners and third parties can access user-posted content on its site." The post explains that more and more companies are using unsavory means to access user data in bulk, including Reddit posts. Once a company gets this data, there's no limit to what it can do with it. Reddit will continue to block "bad actors" that use unauthorized methods to get data, the company says, but it's taking additional steps to keep users safe from the site's partners.... Reddit still supports using its data for research: It's creating a new subreddit — r/reddit4researchers — to support these initiatives, and partnering with OpenMined to help improve research. Private data is, however, going to stay private. If a company wants to use Reddit data for commercial purposes, including advertising or training AI, it will have to pay. Reddit made this clear by saying, "If you're interested in using Reddit data to power, augment, or enhance your product or service for any commercial purposes, we require a contract." To be clear, Reddit is still selling users' data — it's just making sure that unscrupulous actors have a tougher time accessing that data for free and researchers have an easier time finding what they need. And finally, there's some court action, according to the Register. Reddit "was sued by an unhappy advertiser who claims that internet giga-forum sold ads but provided no way to verify that real people were responsible for clicking on them." The complaint [PDF] was filed this week in a U.S. federal court in northern California on behalf of LevelFields, a Virginia-based investment research platform that relies on AI. It says the biz booked pay-per-click ads on the discussion site starting September 2022... That arrangement called for Reddit to use reasonable means to ensure that LevelField's ads were delivered to and clicked on by actual people rather than bots and the like. But according to the complaint, Reddit broke that contract... LevelFields argues that Reddit is in a particularly good position to track click fraud because it's serving ads on its own site, as opposed to third-party properties where it may have less visibility into network traffic... Nonetheless, LevelFields's effort to obtain IP address data to verify the ads it was billed for went unfulfilled. The social media site "provided click logs without IP addresses," the complaint says. "Reddit represented that it was not able to provide IP addresses." "The plaintiffs aspire to have their claim certified as a class action," the article adds — along with an interesting statistic. "According to Juniper Research, 22 percent of ad spending last year was lost to click fraud, amounting to $84 billion."

Read more of this story at Slashdot.

Linux 6.9 Released With Faster Intel Core Ultra Performance, Larger Console Fonts Option  Phoronix

Linux Kernel 6.9 Officially Released, This Is What’s New  9to5Linux

OpenAI CEO Sam Altman gave an hour-long interview to the "All-In" podcast (hosted by Chamath Palihapitiya, Jason Calacanis, David Sacks and David Friedberg). And speaking on technology's advance, Altman said "Phones are unbelievably good.... I personally think the iPhone is like the greatest piece of technology humanity has ever made. It's really a wonderful product." Q: What comes after it? Altman: I don't know. I mean, that was what I was saying. It's so good, that to get beyond it, I think the bar is quite high. Q: You've been working with Jony Ive on something, right? Altman: We've been discussing ideas, but I don't — like, if I knew... Altman said later he thought voice interaction "feels like a different way to use a computer." But the conversation turned to Apple in another way. It happened in a larger conversation where Altman said OpenAI has "currently made the decision not to do music, and partly because exactly these questions of where you draw the lines..." Altman: Even the world in which — if we went and, let's say we paid 10,000 musicians to create a bunch of music, just to make a great training set, where the music model could learn everything about song structure and what makes a good, catchy beat and everything else, and only trained on that — let's say we could still make a great music model, which maybe we could. I was posing that as a thought experiment to musicians, and they were like, "Well, I can't object to that on any principle basis at that point — and yet there's still something I don't like about it." Now, that's not a reason not to do it, um, necessarily, but it is — did you see that ad that Apple put out... of like squishing all of human creativity down into one really iPad...? There's something about — I'm obviously hugely positive on AI — but there is something that I think is beautiful about human creativity and human artistic expression. And, you know, for an AI that just does better science, like, "Great. Bring that on." But an AI that is going to do this deeply beautiful human creative expression? I think we should figure out — it's going to happen. It's going to be a tool that will lead us to greater creative heights. But I think we should figure out how to do it in a way that preserves the spirit of what we all care about here. What about creators whose copyrighted materials are used for training data? Altman had a ready answer — but also some predictions for the future. "On fair use, I think we have a very reasonable position under the current law. But I think AI is so different that for things like art, we'll need to think about them in different ways..." Altman:I think the conversation has been historically very caught up on training data, but it will increasingly become more about what happens at inference time, as training data becomes less valuable and what the system does accessing information in context, in real-time... what happens at inference time will become more debated, and what the new economic model is there. Altman gave the example of an AI which was never trained on any Taylor Swift songs — but could still respond to a prompt requesting a song in her style. Altman: And then the question is, should that model, even if it were never trained on any Taylor Swift song whatsoever, be allowed to do that? And if so, how should Taylor get paid? So I think there's an opt-in, opt-out in that case, first of all — and then there's an economic model. Altman also wondered if there's lessons in the history and economics of music sampling...

Read more of this story at Slashdot.

An anonymous reader shared this report from the Associated Press: A thick atmosphere has been detected around a planet that's twice as big as Earth in a nearby solar system, researchers reported Wednesday. The so-called super Earth — known as 55 Cancri e — is among the few rocky planets outside our solar system with a significant atmosphere, wrapped in a blanket of carbon dioxide and carbon monoxide. The exact amounts are unclear. Earth's atmosphere is a blend of nitrogen, oxygen, argon and other gases. "It's probably the firmest evidence yet that this planet has an atmosphere," said Ian Crossfield, an astronomer at the University of Kansas who studies exoplanets and was not involved with the research. The research was published in the journal Nature. "The boiling temperatures on this planet — which can reach as hot as 4,200 degrees Fahrenheit (2,300 degrees Celsius) — mean that it is unlikely to host life," the article points out. "Instead, scientists say the discovery is a promising sign that other such rocky planets with thick atmospheres could exist that may be more hospitable."

Read more of this story at Slashdot.

Researchers believe they've discovered a new material structure that can improve the energy storage of capacitors. The structure allows for storage while improving the efficiency of ultrafast charging and discharging. The new find needs optimization but has the potential to help power electric vehicles. * An anonymous reader shared this report from Popular Mechanics: In a study published in Science, lead author Sang-Hoon Bae, an assistant professor of mechanical engineering and materials science, demonstrates a novel heterostructure that curbs energy loss, enabling capacitors to store more energy and charge rapidly without sacrificing durability... Within capacitors, ferroelectric materials offer high maximum polarization. That's useful for ultra-fast charging and discharging, but it can limit the effectiveness of energy storage or the "relaxation time" of a conductor. "This precise control over relaxation time holds promise for a wide array of applications and has the potential to accelerate the development of highly efficient energy storage systems," the study authors write. Bae makes the change — one he unearthed while working on something completely different — by sandwiching 2D and 3D materials in atomically thin layers, using chemical and nonchemical bonds between each layer. He says a thin 3D core inserts between two outer 2D layers to produce a stack that's only 30 nanometers thick, about 1/10th that of an average virus particle... The sandwich structure isn't quite fully conductive or nonconductive. This semiconducting material, then, allows the energy storage, with a density up to 19 times higher than commercially available ferroelectric capacitors, while still achieving 90 percent efficiency — also better than what's currently available. Thanks to long-time Slashdot reader schwit1 for sharing the article.

Read more of this story at Slashdot.

An anonymous reader shared this report from PetaPixel: A photographer and content creator has set the world record for the fastest drone flight after his custom-made aircraft achieved a staggering 298.47 miles per hour (480.2 kilometers per hour). Guinness confirmed the record noting that Luke Maximo Bell and his father Mike achieved the "fastest ground speed by a battery-powered remote-controlled (RC) quadcopter." Luke, who has previously turned his GoPro into a tennis ball, describes it as the most "frustrating and difficult project" he has ever worked on after months of working on prototypes that frequently caught fire. From the very first battery tests for the drone that Luke calls Peregrine 2, there were small fires as it struggled to cope with the massive amount of current which caused it to heat up to over 266 degrees Fahrenheit (130 degrees Celsius). The motor wires also burst into flames during full load testing causing Luke and Mike to use thicker ones so they didn't fail... After 3D-printing the final model and assembling all the parts, Luke took it for a maiden flight which immediately resulted in yet another fire. This setback made Bell almost quit the project but he decided to remake all the parts and try again — which also ended in fire. This second catastrophe prompted Luke and his Dad to "completely redesign the whole drone body." It meant weeks of work as the new prototype was once again tested, 3D-printed, and bolted together.

Read more of this story at Slashdot.

15 Ways to Improve Ubuntu Without Touching the Terminal  How-To Geek

"One of the biggest mysteries in astrophysics today is that the forces in galaxies do not seem to add up," write two U.K. researchers in the Conversation: Galaxies rotate much faster than predicted by applying Newton's law of gravity to their visible matter, despite those laws working well everywhere in the Solar System. To prevent galaxies from flying apart, some additional gravity is needed. This is why the idea of an invisible substance called dark matter was first proposed. But nobody has ever seen the stuff. And there are no particles in the hugely successful Standard Model of particle physics that could be the dark matter — it must be something quite exotic. This has led to the rival idea that the galactic discrepancies are caused instead by a breakdown of Newton's laws. The most successful such idea is known as Milgromian dynamics or Mond [also known as modified Newtonian dynamics], proposed by Israeli physicist Mordehai Milgrom in 1982. But our recent research shows this theory is in trouble... Due to a quirk of Mond, the gravity from the rest of our galaxy should cause Saturn's orbit to deviate from the Newtonian expectation in a subtle way. This can be tested by timing radio pulses between Earth and Cassini. Since Cassini was orbiting Saturn, this helped to measure the Earth-Saturn distance and allowed us to precisely track Saturn's orbit. But Cassini did not find any anomaly of the kind expected in Mond. Newton still works well for Saturn... Another test is provided by wide binary stars — two stars that orbit a shared centre several thousand AU apart. Mond predicted that such stars should orbit around each other 20% faster than expected with Newton's laws. But one of us, Indranil Banik, recently led a very detailed study that rules out this prediction. The chance of Mond being right given these results is the same as a fair coin landing heads up 190 times in a row. Results from yet another team show that Mond also fails to explain small bodies in the distant outer Solar System... The standard dark matter model of cosmology isn't perfect, however. There are things it struggles to explain, from the universe's expansion rate to giant cosmic structures. So we may not yet have the perfect model. It seems dark matter is here to stay, but its nature may be different to what the Standard Model suggests. Or gravity may indeed be stronger than we think — but on very large scales only. "Ultimately though, Mond, as presently formulated, cannot be considered a viable alternative to dark matter any more," the researchers conclude. "We may not like it, but the dark side still holds sway."

Read more of this story at Slashdot.

Intel Unveils PCIe “Thermal Throttling” In Linux Driver Update, Targeted At PCIe 6.0 & PCIe 7.0 Standards  Wccftech

Intel Unveils PCIe “Thermal Throttling” In Linux Driver Update, Targeted At PCIe 6.0 & PCIe 7.0 Standards  Wccftech

Intel Unveils PCIe “Thermal Throttling” In Linux Driver Update, Targeted At PCIe 6.0 & PCIe 7.0 Standards  Wccftech

Intel Unveils PCIe “Thermal Throttling” In Linux Driver Update, Targeted At PCIe 6.0 & PCIe 7.0 Standards  Wccftech

Intel Unveils PCIe “Thermal Throttling” In Linux Driver Update, Targeted At PCIe 6.0 & PCIe 7.0 Standards  Wccftech

Intel Unveils PCIe “Thermal Throttling” In Linux Driver Update, Targeted At PCIe 6.0 & PCIe 7.0 Standards  Wccftech

Intel Unveils PCIe “Thermal Throttling” In Linux Driver Update, Targeted At PCIe 6.0 & PCIe 7.0 Standards  Wccftech

Intel Unveils PCIe “Thermal Throttling” In Linux Driver Update, Targeted At PCIe 6.0 & PCIe 7.0 Standards  Wccftech

Linux 6.10 Features Expected From The NTSYNC Driver To Performance Optimizations  Phoronix