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Elon Musk wants to rewrite "the entire corpus of human knowledge" with Grok

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23. Juni 2025, 08:46


  • What Does Palantir Actually Do?

    Technology technology vor etwa einem Tag
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    I am very interested in the culture and psychology of these supposed “meritocratic” companies. They're social Darwinists, for the most part: their idea of meritocracy is that since they're on top, it must be because of merit.
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    Just to add — this survey is for literally anyone who's been through the project phase in college. We’re trying to figure out: What stops students from building cool stuff? What actually helps students finish a project? How mentors/teachers can support better? And whether buying/selling projects is something people genuinely do — and why. Super grateful to anyone who fills it. And if you’ve had an experience (good or bad) with your project — feel free to share it here too
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    If you had asked me during the Obama administration I would have said this a chance of becoming law. Today I give it 0.002%.
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    But do you also sometimes leave out AI for steps the AI often does for you, like the conceptualisation or the implementation? Would it be possible for you to do these steps as efficiently as before the use of AI? Would you be able to spot the mistakes the AI makes in these steps, even months or years along those lines? The main issue I have with AI being used in tasks is that it deprives you from using logic by applying it to real life scenarios, the thing we excel at. It would be better to use AI in the opposite direction you are currently use it as: develop methods to view the works critically. After all, if there is one thing a lot of people are bad at, it's thorough critical thinking. We just suck at knowing of all edge cases and how we test for them. Let the AI come up with unit tests, let it be the one that questions your work, in order to get a better perspective on it.
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    Trying to get my peers to care about their own privacy is exhausting. I wish their choices don't effect me, but like this article states.. They do in the long run. I will remain stubborn and only compromise rather than give in.
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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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    Arcing causes more fires, because over current caused all the fires until we tightened standards and dual-mode circuit breakers. Now fires are caused by loose connections arcing, and damaged wires arcing to flammable material. Breakers are specifically designed for a sustained current, but arcing is dangerous because it tends to cascade, light arcing damages contacts, leading to more arcing in a cycle. The real danger of arcing is that it can happen outside of view, and start fires that aren't caught till everything burns down.
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    That's the thing, I wish we could just switch all enterprises to Linux, but Microsoft developed a huge ecosystem that really does have good features. Unless something comparable comes up in the Linux world, I don't see Europe becoming independent of Microsoft any time soon