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  • P

    [JS Required] Boeing’s Inadequate ‘Training, Guidance and Oversight’ Led to Mid-Exit Door Plug Blowout on Passenger Jet

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    N
    That they didn't have enough technicians trained in this to be able to ensure that one was always available during working hours, or at least when it was glaringly obvious that one was going to be needed that day, is . . . both extremely and obviously stupid, and par for the course for a corp whose sole purpose is maximizing profit for the next quarter.
  • A

    Stellar Data Recovery Professional for Windows LifeTime License Key

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    Niemand hat geantwortet
  • A

    I Convinced HP's Board to Buy Palm for $1.2B. Then I Watched Them Kill It in 49 Days

    Technology technology
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    L
    I believe that's what a write down generally reflects: The asset is now worth less than its previous book value. Resale value isn't the most accurate way to look at it, but it generally works for explaining it: If I bought a tool for 100€, I'd book it as 100€ worth of tools. If I wanted to sell it again after using it for a while, I'd get less than those 100€ back for it, so I'd write down that difference as a loss. With buying / depreciating / selling companies instead of tools, things become more complex, but the basic idea still holds: If the whole of the company's value goes down, you write down the difference too. So unless these guys bought it for five times its value, they'll have paid less for it than they originally got.
  • C

    Unionize or die - Drew DeVault

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    W
    and hopefully also elsewhere. as Drew said in the first part, tech workers will be affected by billionaire's decisions even outside of work, on multiple fronts. we must eat the rich, or they will eat us all alive.
  • bimbimboy@lemm.eeB

    OpenAI is storing deleted ChatGPT conversations as part of its NYT lawsuit

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    A
    If you are taking business advice from ChatGPT that includes purchasing a ChatGPT subscription or can’t be bothered to look up how it works beforehand then your business is probably going to fail.
  • P

    Why doesn't Nvidia have more competition?

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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.
  • P

    AI cheating surge pushes schools into chaos

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    C
    Sorry for the late reply, I had to sit and think on this one for a little bit. I think there are would be a few things going on when it comes to designing a course to teach critical thinking, nuances, and originality; and they each have their own requirements. For critical thinking: The main goal is to provide students with a toolbelt for solving various problems. Then instilling the habit of always asking "does this match the expected outcome? What was I expecting?". So usually courses will be setup so students learn about a tool, practice using the tool, then have a culminating assignment on using all the tools. Ideally, the problems students face at the end require multiple tools to solve. Nuance mainly naturally comes with exposure to the material from a professional - The way a mechanical engineer may describe building a desk will probably differ greatly compared to a fantasy author. You can also explain definitions and industry standards; but thats really dry. So I try to teach nuances via definitions by mixing in the weird nuances as much as possible with jokes. Then for originality; I've realized I dont actually look for an original idea; but something creative. In a classroom setting, you're usually learning new things about a subject so a student's knowledge of that space is usually very limited. Thus, an idea that they've never heard about may be original to them, but common for an industry expert. For teaching originality creativity, I usually provide time to be creative & think, and provide open ended questions as prompts to explore ideas. My courses that require originality usually have it as a part of the culminating assignment at the end where they can apply their knowledge. I'll also add in time where students can come to me with preliminary ideas and I can provide feedback on whether or not it passes the creative threshold. Not all ideas are original, but I sometimes give a bit of slack if its creative enough. The amount of course overhauling to get around AI really depends on the material being taught. For example, in programming - you teach critical thinking by always testing your code, even with parameters that don't make sense. For example: Try to add 123 + "skibbidy", and see what the program does.
  • P

    Mozilla is shutting down Pocket, their read-it-later and content discovery app, and Fakespot, their browser extension that analyzes the authenticity of online product reviews.

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    guydudeman@lemmy.worldG
    Yeah, I don’t know how they’re doing it. They’re using some “zero trust” system. It’s beyond me.