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YouTube rolls out more unskippable ads that make viewers wait even longer to watch videos - Dexerto

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    A whole article about how terrible this is, then towards the end they got clarification from Google and, surprise surprise, it was all an overreaction and they were fear mongering. “This update is good for users: they can now use Gemini to complete daily tasks on their mobile devices like send messages, initiate phone calls, and set timers while Gemini Apps Activity is turned off. With Gemini Apps Activity turned off, their Gemini chats are not being reviewed or used to improve our AI models. It’s just giving Gemini more local assistant abilities.
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    01189998819991197253@infosec.pub0
    we're at war with eastasia. We've always been at war with eastasia. Big Brother Really has "trust me bro" energy.
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    Maybe I don't want you to stop, big boy.
  • 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.
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    The problem is the cost of each. Right now material is dirt cheap and energy prices are going up. And we are not good at long term planning.
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    I think a generic plug would be great but look at how fragmented USB specifications are. Add that to biology and it's a whole other level of difficulty. Brain implants have great potential but the abandonment issue is a problem that exists now that we have to solve for. It's also not really a tech issue but a societal one on affordability and accountability of medical research. Imagine if a company held the patents for the brain device and just closed down without selling or leasing the patent. People with that device would have no support unless a government body forced the release of the patent. This has already happened multiple times to people in clinical trials and scaling up deployment with multiple versions will make the situation worse. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2818077 I don't really have a take on your personal desires. I do think if anyone can afford one they should make sure it's not just the up front cost but also the long term costs to be considered. Like buying an expensive car, it's not if you can afford to purchase it but if you can afford to wreck it.
  • Nextcloud cries foul over Google Play Store app rejection

    Technology technology
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    Niemand hat geantwortet
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    How's that going? I just read that there are several lawsuits about these SSDs loosing all data.