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We Should Immediately Nationalize SpaceX and Starlink

Technology
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    Niemand hat geantwortet
  • 590 Stimmen
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    chickenandrice@sh.itjust.worksC
    Building a linux phone: do you mean from scratch, or just installing one of the Linux phone OS's that already exist? I've been following Ubuntu Touch for several years now and, while they have made a lot of progress, its main hurdles have the same thing in common: mobile hardware is incredibly locked down. For example, Ubuntu Touch uses proprietary Android drivers for many low level functions. Even then, there's some features that aren't stable across all devices, like VOLTE. It sucks, I really want to use Ubuntu Touch (or any of the Linux alternatives) but I can't make phone calls or text in the US without VOLTE support. There are a few phones that support VOLTE, but the feature is either in beta, the phone is expensive, or the phone is not sold in the US. Anyways bringing that back to Graphene: In my case, I'm using this as a stopgap until Linux phones take off (assuming they ever do). For now I guess the best thing is to just be skeptic, keep things minimal, and bloat-free.
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    S
    I admire your positivity. I do not share it though, because from what I have seen, because even if there are open weights, the one with the biggest datacenter will in the future hold the most intelligent and performance model. Very similar to how even if storage space is very cheap today, large companies are holding all the data anyway. AI will go the same way, and thus the megacorps will and in some extent already are owning not only our data, but our thoughts and the ability to modify them. I mean, sponsored prompt injection is just the first thought modifying thing, imagine Google search sponsored hits, but instead it's a hyperconvincing AI response that subtly nudges you to a certain brand or way of thinking. Absolutely terrifies me, especially with all the research Meta has done on how to manipulate people's mood and behaviour through which social media posts they are presented with
  • 53 Stimmen
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    Z
    What is the technology angle here? What does this have to do with technology?
  • Where are all the data centres and why should you care?

    Technology technology
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    A
    Ai says Virginia is home to the largest data center market in the world, with over 576 data centers, primarily located in Northern Virginia,
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    G
    A carrot perhaps... Or a very big stick.
  • 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.
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    thehatfox@lemmy.worldT
    The platform owners don’t consider engagement to me be participation in meaningful discourse. Engagement to them just means staying on the platform while seeing ads. If bots keep people doing that those platforms will keep letting them in.