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Joined 11 months ago
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Cake day: December 4th, 2024

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  • I’ve been using the K380 and pebble mouse. It’s not large, so probably not for you. You can buy the pebble 2 combo now. I bought a basic leather case for the k380 which works fine.

    It got a weird issue a couple years in where it never powers down, so for travel I remove one of the AAA batteries and slide that into the case next to it. The pebble mouse has never acted up. A couple of keycaps on the k380 also fell off before I got to he case, so I would say that if you’re carrying it in a backpack I’d definitely recommend getting a case.

    Overall, though, it keeps chugging without much more issue. I also reconfigured the keycaps to reflect my Dvorak layout without any special tools.








  • In the case of steam and web browser, the containerization means I can control their access permissions via flatseal. This adds another layer of security, since they’re both web-accessing applications, and it’s easier than setting up a VM to run those applications.





  • JayDee@lemmy.sdf.orgtolinuxmemes@lemmy.worldHERE THEY COME
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    7 months ago

    Yeah, that’s the nature of mass adoption, is that people you don’t like start coming into the community.

    This always happens. A community stays intact so long as it stays niche, but once it reaches mass adoption, that community splinters into smaller communities.

    The ‘Linux community’ will eventually cease to exist and will be replaced with communities who use Linux in specific fashions.






  • That’s a view from the perspective of utility, yeah. The downvotes here are likely also from a ethics standpoint, since most LLMs currently trained are doing so by using other peoples’ work without permission, all while using large amounts of water for cooling, and energy from our mostly coal-powered grid. This is also not mentioning the physical and emotional labor that many untrained workers are required to do when sifting through the datasets of these LLMs, removing unsavory data for extremely low wages.

    A smaller, more specialized LLM could likely perform this same functionality with a much less training, on a more exclusive data set (probably only a couple of terabytes at its largest I’d wager), and would likely be small enough to run on most users’ computers after training. That’d be the more ethical version of this use case.