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

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  • EU says it will continue rolling out AI legislation on schedule

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    I just can't get over how little we hear from academics RE: AI. It shows a clear disinterest and I feel like if they did bother to say anything it would be, "Proceed with caution while we study this further." Instead it's always the giant corporations with vested interest in this technology succeeding. It's just so painfully transparent.
  • Palantir partners to develop AI software for nuclear construction

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    The grift goes nuclear. No surprise.
  • OpenAI wins $200m contract with US military for ‘warfighting’

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    gadgetboy@lemmy.mlG
    [image: 8aff8b12-7ed7-4df5-b40d-9d9d14708dbf.gif]
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    I wonder if they could develop this into a tooth coating. Preventing biofilms would go a long way to preventing cavities.
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    Niemand hat geantwortet
  • 92 Stimmen
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    This is interesting to me as I like to say the llms are basically another abstraction of search. Initially it was links with no real weight that had to be gone through and then various algorithms weighted the return, then the results started giving a small blurb so one did not have to follow every link, and now your basically getting a report which should have references to the sources. I would like to see this looking at how folks engage with an llm. Basically my guess is if one treats the llm as a helper and collaborates to create the product that they will remember more than if they treat it as a servant and just instructs them to do it and takes the output as is.
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    Clearly the author doesn't understand how capitalism works. If Apple can pick you up by the neck, turn you upside down, and shake whatever extra money it can from you then it absolutely will do so. The problem is that one indie developer doesn't have any power over Apple... so they can go fuck themselves. The developer is granted the opportunity to grovel at the feet of their betters (richers) and pray that they are allowed to keep enough of their own crop to survive the winter. If they don't survive... then some other dev will probably jump at the chance to take part in the "free market" and demonstrate their worth.
  • 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.