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Joined 1 year ago
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Cake day: June 15th, 2023

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  • Probably ~15TB through file-level syncing tools (rsync or similar; I forget exactly what I used), just copying up my internal RAID array to an external HDD. I’ve done this a few times, either for backup purposes or to prepare to reformat my array. I originally used ZFS on the array, but converted it to something with built-in kernel support a while back because it got troublesome when switching distros. Might switch it to bcachefs at some point.

    With dd specifically, maybe 1TB? I’ve used it to temporarily back up my boot drive on occasion, on the assumption that restoring my entire system that way would be simpler in case whatever I was planning blew up in my face. Fortunately never needed to restore it that way.





  • YES.

    And not just the cloud, but internet connectivity and automatic updates on local machines, too. There are basically a hundred “arbitrary code execution” mechanisms built into every production machine.

    If it doesn’t truly need to be online, it probably shouldn’t be. Figure out another way to install security patches. If it’s offline, you won’t need to worry about them half as much anyway.



  • I think it’s important to distinguish between social media in general and specific platforms like Facebook, Twitter, etc. Don’t say things like “social media is designed to <blank>” when you really mean “Facebook, Twitter, YouTube, and Reddit are designed to <blank>”.

    The first step to fixing a problem is to identify it clearly and accurately.

    The problems with social media in practice have little to do with the general concept of social media. There are ways we could regulate our way to a better internet, by heavily disincentivizing dark patterns, and still have thriving social media platforms.

    IMHO, there are a couple things to focus on:

    1. Restrict or outright ban data collection, sale, and sharing. Targeted advertising is not necessary for a healthy internet. It’s gotten completely out of control. Fuck you and your 872 closest partners.

    2. Mandate transparency in algorithms. Facebook, Google, Twitter, etc. have all manipulated their users by gaming their algorithms to maximize engagement, promote political ideas, or even outright conduct psychological experiments on unwitting users. There’s no need for a sorting algorithm to be opaque to the user. It’s feasible for it to be user-customizable to one degree or another.



  • Both.

    The good: CUDA is required for maximum performance and compatibility with machine learning (ML) frameworks and applications. It is a legitimate reason to choose Nvidia, and if you have an Nvidia card you will want to make sure you have CUDA acceleration working for any compatible ML workloads.

    The bad: Getting CUDA to actually install and run correctly is a giant pain in the ass for anything but the absolute most basic use case. You will likely need to maintain multiple framework versions, because new ones are not backwards-compatible. You’ll need to source custom versions of Python modules compiled against specific versions of CUDA, which opens a whole new circle of Dependency Hell. And you know how everyone and their dog publishes shit with Docker now? Yeah, have fun with that.

    That said, AMD’s equivalent (ROCm) is just as bad, and AMD is lagging about a full generation behind Nvidia in terms of ML performance.

    The easy way is to just use OpenCL. But that’s not going to give you the best performance, and it’s not going to be compatible with everything out there.