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matrix is cooked

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    UK Government responded to the "Repeal the Online Safety Act" Petition.

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    It wasn't a direct reference, but definitely inspired by Dr. cox.
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    Help us understand the challenges patients face opting out of voluntary uses of their data, or getting access to their records.

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    In the Sweltering Southwest, Planting Solar Panels in Farmland Can Help Both Photovoltaics and Crops - Inside Climate News

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    Still, a 2025 University of Arizona study that interviewed farmers and government officials in Pinal County, Arizona, found that a number of them questioned agrivoltaics’ compatibility with large-scale agriculture. “I think it’s a great idea, but the only thing … it wouldn’t be cost-efficient … everything now with labor and cost of everything, fuel, tractors, it almost has to be super big … to do as much with as least amount of people as possible,” one farmer stated. Many farmers are also leery of solar, worrying that agrivoltaics could take working farmland out of use, affect their current operations or deteriorate soils. Those fears have been amplified by larger utility-scale initiatives, like Ohio’s planned Oak Run Solar Project, an 800 megawatt project that will include 300 megawatts of battery storage, 4,000 acres of crops and 1,000 grazing sheep in what will be the country’s largest agrivoltaics endeavor to date. Opponents of the project worry about its visual impacts and the potential loss of farmland.
  • return2ozma@lemmy.worldR

    Actively exploited vulnerability gives extraordinary control over server fleets

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    Does anybody know of a resource that's compiled known to be affected system or motherboard models using this specific BMC? Eclypsium said the line of vulnerable AMI MegaRAC devices uses an interface known as Redfish. Server makers known to use these products include AMD, Ampere Computing, ASRock, ARM, Fujitsu, Gigabyte, Huawei, Nvidia, Supermicro, and Qualcomm. Some, but not all, of these vendors have released patches for their wares.
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    Same Sea, New Phish: Russian Government-Linked Social Engineering Targets App-Specific Passwords

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    Menstrual tracking app data is a ‘gold mine’ for advertisers that risks women’s safety

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    They can be LED I just want the aesthetic.
  • simple@lemm.eeS

    China's first 6nm GPU boots up, targets performance parity with RTX 4060

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    Their previous GPU used an old AMD GPU design if I recall correctly. I wonder if they have in-house stuff now.
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    Why doesn't Nvidia have more competition?

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    It’s funny how the article asks the question, but completely fails to answer it. About 15 years ago, Nvidia discovered there was a demand for compute in datacenters that could be met with powerful GPU’s, and they were quick to respond to it, and they had the resources to focus on it strongly, because of their huge success and high profitability in the GPU market. AMD also saw the market, and wanted to pursue it, but just over a decade ago where it began to clearly show the high potential for profitability, AMD was near bankrupt, and was very hard pressed to finance developments on GPU and compute in datacenters. AMD really tried the best they could, and was moderately successful from a technology perspective, but Nvidia already had a head start, and the proprietary development system CUDA was already an established standard that was very hard to penetrate. Intel simply fumbled the ball from start to finish. After a decade of trying to push ARM down from having the mobile crown by far, investing billions or actually the equivalent of ARM’s total revenue. They never managed to catch up to ARM despite they had the better production process at the time. This was the main focus of Intel, and Intel believed that GPU would never be more than a niche product. So when intel tried to compete on compute for datacenters, they tried to do it with X86 chips, One of their most bold efforts was to build a monstrosity of a cluster of Celeron chips, which of course performed laughably bad compared to Nvidia! Because as it turns out, the way forward at least for now, is indeed the massively parralel compute capability of a GPU, which Nvidia has refined for decades, only with (inferior) competition from AMD. But despite the lack of competition, Nvidia did not slow down, in fact with increased profits, they only grew bolder in their efforts. Making it even harder to catch up. Now AMD has had more money to compete for a while, and they do have some decent compute units, but Nvidia remains ahead and the CUDA problem is still there, so for AMD to really compete with Nvidia, they have to be better to attract customers. That’s a very tall order against Nvidia that simply seems to never stop progressing. So the only other option for AMD is to sell a bit cheaper. Which I suppose they have to. AMD and Intel were the obvious competitors, everybody else is coming from even further behind. But if I had to make a bet, it would be on Huawei. Huawei has some crazy good developers, and Trump is basically forcing them to figure it out themselves, because he is blocking Huawei and China in general from using both AMD and Nvidia AI chips. And the chips will probably be made by Chinese SMIC, because they are also prevented from using advanced production in the west, most notably TSMC. China will prevail, because it’s become a national project, of both prestige and necessity, and they have a massive talent mass and resources, so nothing can stop it now. IMO USA would clearly have been better off allowing China to use American chips. Now China will soon compete directly on both production and design too.