• 5 Posts
  • 264 Comments
Joined 1 year ago
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Cake day: July 21st, 2023

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  • It is kind of interesting how open machine learning already is without much explicit advocacy for it.

    It’s the only field I can think of where the open version is just a few months behind SOTA in all of IT.

    Open training pipelines and open data are the only aspects that could still use improvements in ML, but there are plenty of projects that are near-SOTA and fully open.

    ML is extremely open compared to consumer mobile or desktop apps that are always ~10 years behind SOTA







  • I think you are looking at work horse distros, like Ubuntu, Fedora, etc… That by now are heavily used for productive work, not personal use. So they favor stability and minor quality of life improvements over shiny new updates.

    There’s plenty shiny new cutting edge distros out there that are innovating, e.g. Nix, Silverblue, VanillaOS, all the container focused ones CoreOS, Container OS, Flatcar Container Linux and probably dozens more newer ones I am not aware of .