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Joined 5 years ago
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Cake day: January 29th, 2021

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  • I think NixOS is a superb choice if you have the time and energy to invest in it. I’m currently using Guix System (a GNU fork of Nix) and I’m very very happy with it. Previously I’ve been on openSUSE Tumbleweed because I thought the most important thing for me was btrfs with an easy snapshot system. But then, one day, when I was writing ansible playbooks to configure my OS I realized that what I care most about is declarative configurations. Now I’ve completely stopped using ansible for my laptop/desktop, and just rely upon native Guix configuration. I love it.

    I do still run MicroOS on all of my servers because it “just works” and I think transactional systems are great for servers. Recently, however, I’ve been thinking about trying out NixOS/Guix System as my server OS of choice, but we’ll see how that goes.

    If you’re willing to put in the time, I think you’ll love NixOS.

    Edit: Nix/Guix are also transactional.









  • Much of it might be freely available data, but there’s a huge difference between you accessing a website for data and an LLM doing the same thing. We’ve had bots scraping websites since the 90’s, it’s not a new thing. And since scraping bots have existed we’ve developed a standard on the web to deal with it, called “robots.txt”. A text file telling bots what they are allowed to do on websites and how they should behave.

    LLM’s are notorious for disrespecting this, leading to situations where small companies and organisations will have their websites scraped so thoroughly and frequently that they can’t even stay online anymore, as well as skyrocketing their operational costs. In the last few years we’ve had to develop ways just to protect ourselves against this. See the “Anubis” project.

    Hence, it’s much more important that LLM’s follow the rules than you and me doing so on an individual level.

    It’s the difference between you killing a couple of bees in your home versus an industry specialising in exterminating bees at scale. The efficiency is a big factor.