• 25 Posts
  • 421 Comments
Joined 3 年前
cake
Cake day: 2023年2月1日

help-circle

  • Xorg: runs on Tegra 3

    Wayland: doesn’t run on Tegra 3

    Conclusion: Wayland wins

    P.s.: this is just cope. I have a Tegra 3 that is stuck with xorg and won’t run labwc. The inherent better efficiency of the Wayland protocol makes sooooo much difference on super low powered devices. Something like labwc is super responsive even on stuff like old Intel Atom netbooks, while xorg is all choppy and stuttery. You definitely want Wayland on those.

    P.p.s.: people think Wayland is more demanding than xorg but it is not true, it’s just that they compare full featured wayland desktops like Gnome or Plasma with minimal desktops like xfce or i3.












  • Ideally, we wouldn’t build infinite compute, just as much as we are actually using, and using it efficiently allows you to build less. We would still need datacenters even without LLMs, but they wouldn’t need to be so gargantuan, because even the worst, inefficient, nodejs-based, intern-written server you could ever encounter, would be heaps more efficient (or at least less demanding) than any LLM. This is true even from an economical point of view, or any practical point of view, not just environmental.

    To quote Tannenbaum: “You know you have the right computer when you are always using 99% of it. If you are using 100%, you are being limited by the machine. If you are using 98% you have bought more than you need”. If datacenters were always running at 40%, we would build bigger ones.









  • Even if AIs weren’t inherently harmful, the companies that make them are. And by utilising, publicising, and integrating in your workflow their product you are pumping their value and giving them both more means and more reasons to fuck people over. And because making and selling an AI requires a giant mega corporation, there cannot be a free (as in freedom) alternative.

    On top of this, the AI is actually harmful. First of all, they are building their value by stealing other people’s work. They also use psychological tricks to try to give you dependency, that’s why AIs are always overly cheerful, always complimenting questions, and why companies try to humanise the product, they do this to convince you to integrate their AI in your workflow, and once it’s done, your business becomes dependent on them, and that makes them money. And if that wasn’t enough, everything you tell the AI is both used to improve the AI, and to profile for advertising.