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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)HE
Posts
46
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3,900
Joined
2 yr. ago

  • You misunderstand. It’s actually “Just Us.”

    The basic idea of the court is to administer the concentrated power of a few elites who are completely unaccountable and above the law. It’s an absolute power system that belongs just to “Us,” our elites. Those are the people who make the rules and tell us what to do in our system of government.

    Alternatively, you can think of it as the laws apply only to us at the bottom. In this case, “us” refers to the citizens. It’s right in the name (US)A.

    Common misconception. Totally get it if you’re not from this country. In general, just remember it’s an authoritarian regime. That means that laws are an arbitrary device used to enforce and apply their power.

  • If you’re willing to donate bandwidth, I suggest I2P or a public SyncThing node. My server chews through a terabyte of bandwidth helping people securely access their files. I also run Tor’s Snowflake proxy which helps users reach the network.

    I2P is Java. SyncThing and Snowflake are written in Go which means you can’t pull off typical memory corruption attacks in these relatively safe languages, and it’s fairly easy to run them in a container.

  • BOINC is great. In its day, you could get an enormous amount of computing power on a shoestring budget thanks to volunteers. It also helped the volunteers feel like they were more a part of something, because they were! I used to have a small server farm crunching numbers for science.

    Unfortunately, the landscape has changed. Some projects are still around, but many of the big players have left. Computing power is a lot more accessible now, and the main limitation is time spent analyzing the data rather than the computation itself. Cloud computing can make just about any computation happen fast for a reasonable price without having to own all of that hardware. GPUs have exploded in computation capacity. Just, a lot of factors came together where the need isn’t as great.

    With that said, I still run it on one mini PC, but the payoff for having to write your application in a distributed fashion doesn’t have the return on investment that it used to.

  • I think the performance could be reasonable at the right price point. The Snapdragon laptops have been a flop mainly because of poor software support and over-promising that all your software would work. The reality is that a lot of software is still broken today, and the type of consumer who can have their needs met by the limited state of the system can be satisfied by a cheaper laptop.