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You're not alone: This email from Google's Gemini team is concerning

Technology
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  • H

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

    Technology technology
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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.
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    China's Humanoid Robot Soccer League Kicks Off with AI-Only Matches

    Technology technology
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    So, China made their own copycat RoboCup competition?
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    Microsoft Says Its New AI Diagnosed Patients 4 Times More Accurately Than Human Doctors

    Technology technology
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    The AI only needs to alert the doctor that something is off and should be tested for. It does not replace doctors, but augments them. It's actually a great use for AI, it's just not what we think of as AI in a post-LLM world. The medically useful AI is pattern recognition. LLMs may also help doctors if they need a starting point into researching something weird and obscure, but ChatGPT isn't being used for diagnosing patients, nor is anything any AI says the "final verdict". It's just a tool to improve early detection of disorders, or it might point someone towards an useful article or book.
  • arunshah240@lemmy.worldA

    Hastags killed

    Technology technology
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    klu9@lemmy.caK
    £ says: "The fuck they are, mate!"
  • F

    Front Brake Lights Could Drastically Diminish Road Accident Rates

    Technology technology
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    I always say there are drivers out there who only survive by the grace of other drivers.
  • P

    Why doesn't Nvidia have more competition?

    Technology technology
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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.
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    Palantir Revisited: Who’s Us in Us vs. Them? | naked capitalism

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    Niemand hat geantwortet
  • H

    Sunsetting the Ghostery Private Browser

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    Sunsetting Dawn? Of course