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  • R

    Relo IT

    Technology technology
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    7 Aufrufe
    Niemand hat geantwortet
  • isaamoonkhgdt_6143@lemmy.zipI

    Microsoft Shifts Gears On AI Chip Design Plans

    Technology technology
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    P
    AI needs to be regulated with an energy cap. If you need more capacity, optimise your AI. Don't just throw more electricity at it.
  • D

    Trump’s tax bill seeks to prevent AI regulations. Experts fear a heavy toll on the planet

    Technology technology
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    etherphon@lemmy.worldE
    We all know how well not regulating social media has gone, why the fuck not let's just double down.
  • D

    Judge backs AI firm over use of copyrighted books

    Technology technology
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    176 Aufrufe
    artisian@lemmy.worldA
    The students read Tolkien, then invent their own settings. The judge thinks this is similar to how claude works. I, nor I suspect the judge, meant that the students were reusing world building whole cloth.
  • steamymoomilk@sh.itjust.worksS

    How to "Reformat" a Hardrive the American way

    Technology technology
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    T
    It really, really is. Like that scene from Office Space.
  • P

    Why doesn't Nvidia have more competition?

    Technology technology
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    B
    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.
  • blue_berry@lemmy.worldB

    Is it feasible and scalable to combine self-replicating automata (after von Neumann) with federated learning and the social web?

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    blue_berry@lemmy.worldB
    Cool. Well, the feedback until now was rather lukewarm. But that's fine, I'm now going more in a P2P-direction. It would be cool to have a way for everybody to participate in the training of big AI models in case HuggingFace enshittifies
  • T

    ServiceNow acquires Data.World months after snatching up Moveworks

    Technology technology
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    F
    IMO stuff like that is why a good trainer is important. IMO it's stronger evidence that proper user-centered design should be done and a usable and intuitive UX and set of APIs developed. But because the buyer of this heap of shit is some C-level, there is no incentive to actually make it usable for the unfortunate peons who are forced to interact with it. See also SFDC and every ERP solution in existence.