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Cake day: January 12th, 2026

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  • The only substance I can see to it is when do you draw the line from a modified Debian (or Ubuntu) setup to a “new” distro?

    If you start with an Ubuntu image its technically possible to ship of Theseus it right into an Arch image, but you could argue the default config of both is best representative of the actual distro maintainers goal (even if irrelevant to power users).

    (Saying this all as a NixOS user with a system that hardly even looks like Linux sometimes so maybe I’m a bit biased on how blurry all the lines are lmao)




  • I largely agree, but I could see having a prebuild iso/img including uboot for most common boards being a lot more user friendly than doing it by hand.

    That and a binary cache could make things take a couple mins for a download vs a couple days to compile the kernel + all packages for any user with lower end hardware.

    Kinda like what armbian provides for the arm space, but with a lot harder initial curve by hand rolling their own distro.






  • Distribution throughout the vehicle would be laughibly trivial, and calling using batteries ‘generation’ is weird, but they are still like 99% efficient.

    Probably means the efficiency loss burning gas (in power plants much more efficient than cars) is counted for electric vehicles, but ignored for gas vehicles through some crazy mental gymnastics.

    Its also a US study published in 2018, so this is an expected bias.







  • klankin@piefed.catoLinux@lemmy.ml*Permanently Deleted*
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    1 month ago

    Mid-range networking equiptment common in higher end homelabs or small/medium enterprises.

    Doesnt compete with fancier Cisco gear, but has an easy to use interface that can scale fairly well.

    Though like most networking equiptment the hardware is dirt cheap, so Alpine’s lightweight base fits it well.




  • We dont yet have proof AI can “imagine” new things, just interpolates between existing. For complex relationships such as realistic fluid/particle dynamics it also requires billions of inputs before approximating reasonable outputs - so the cost to potentially nonexistent ROI timeline just doesnt add up. Its made even worse if youre already simulating billions of viable simulations, just to generate thousands.

    This is why most modern techbro AI requires massive internet piracy, without already having the training data readily available (but not efficiently simulated) the algorithms arent worth much.

    Tangentially this is why such algorithms have many applications in the medical field, they generally have access to a large dataset of human annotated diagnosis that can’t readily be created by a computer.