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2 yr. ago

  • Windows is a hybrid kernel, and has some interesting layers of abstraction, all of which make it slower. It's also full of junkware these days. So beating it shouldn't be that hard.

    Yeah to be fair in HPC it's probably easier to just setup a watchdog and reboot that node in case of issues. No need for the extra resilience.

  • But generally microkernels are not solution to problems most people claim they would solve, especially in post-meltdown era.

    Can you elaborate? I am not an OS design expert, and I thought microkernels had some advantages.

  • I thought the point of lts kernels is they still get patches despite being old.

    Other than that though you're right on the money. I think they don't know what the characteristics of a microkernel are. I think they mean that a microkernel can't have all the features of a monolithic kernel, what they fail to realise is that might actually be a good thing.

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  • It's called memory training. Disabling it will hurt either stability, performance, or both. I really wouldn't bother. Just use sleep mode if time is of the essence. Don't unplug your machine from the wall; if it remains powered a lot of systems will skip the training.

  • 400-600€ phones

    That's like the price of the most expensive phone I ever owned, my old OnePlus 8T. I find budget phones insufferable these days, but midrange is generally fine provided you know what you're looking for.

  • The purpose of a system is, absolutely, what it does. It doesn’t matter how well intentioned your design and ethics were, once the system is doing things, those things are its purpose. Your waste heat example, yes, it was the design intent to eliminate that, but now that’s what it does, and the engineers damn well understand that its purpose is to generate waste heat in order to do whatever work it’s doing.

    Huh? Then why is so much money spent on computers to minimize energy usage and heat production? This is perhaps the biggest load of bullshit I think I have heard in a long time. Maybe there is some concept similar to this, but if so you clearly haven't articulated it well.

    Anyway I think I am done talking about this with you. You are here to fear-monger over technology you probably don't even use or understand, and I am sick of lemmings doing it.

  • Think, genuinely and critically, about what it means when someone tells you that you shouldn’t judge the ethics and values of their pursuits, because they are simply discovering “universal truths”.

    No scientist or engineer as ever said that as far as I can recall. I was explaining that even for scientific fact which is morally neutral how you get there is important, and that scientists and engineers acknowledge this. What you are asking me to do this based on a false premise and a bad understanding of how science works.

    And then, really make sure you ponder what it means when people say the purpose of a system is what it does.

    It both is and isn't. Things often have consequences alongside their intended function, like how a machine gets warm when in use. It getting warm isn't a deliberate feature, it's a consequence of the laws of thermodynamics. We actually try to minimise this as it wastes energy. Even things like fossil fuels aren't intended to ruin the planet, it's a side effect of how they work.

  • What exactly is there to gain with AI anyways? What’s the great benefit to us as a species? So far its just been used to trivialize multiple artistic disciplines, basic service industries, and programming.

    The whole point is that much like industrial automation it reduces the number of hours people need to work. If this leads to people starving then that's a problem with the economic system, not with AI technology. You're blaming the wrong field here. In fact everyone here blaming AI/ML and not the capitalists is being a Luddite.

    It's also entirely possible it will start replacing managers and capitalists as well. It's been theorized by some anti-capitalists and economic reformists that ML/AI and computer algorithms could one day replace current economic systems and institutions.

    Things have a cost, many people are doing the cost-benefit analysis and seeing there is none for them. Seems most of the incentive to develop this software is if you would like to stop paying people who do the jobs listed above.

    This sadly is probably true of large companies producing big, inefficient ML models as they can afford the server capacity to do so. It's not true of people tweaking smaller ML models at home, or professors in universities using them for data analysis or to aid their teaching. Much like some programmers are getting fired because of ML, others are using it to increase their productivity or to help them learn more about programming. I've seen scientists who otherwise would struggle with data analysis related programming use ChatGPT to help them write code to analyse data.

    What do we get out of burning the planet to the ground? And even if you find an AI thats barely burning it, what’s the point in the first place?

    As the other guy said there are lots of other things using way more energy and fossil fuels than ML. Machine learning is used in sciences to analyse things like the impacts of climate change. It's useful enough in data science alone to outweigh the negative impacts. You would know about this if you ever took a modern data science module. Furthermore being that data centres primarily use electricity it's relatively easy to move them to green sources of energy compared to say farming, or transport. In fact some data centres already use green energy primarily. Data centres will always exist regardless of AI and ML anyway, it's just a matter of scale.