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Joined 7 months ago
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Cake day: March 3rd, 2024

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  • i feel like if you’re not sat stationary at a workstation (who is these days) what you want is a laptop that’s good at being a laptop. 99% of the software developers i work with (not a small number) use Macbook Pros. they are well built, have good components, have best in class battery life (we’ll see how things shake out with Qualcomm), and are BSD based and therefore Unix compatible. my servers and gaming/CUDA PC? Linux all day. my laptop? Macbook. i’m not ideological enough to have range anxiety every time i step away from my desk. plus any decent sized org is going to have to administrate these machines, from scientists to administrators, and catering to .4% of your users is not a good ROI if your software vendors struggled for 8 years to get their Windows 98 based specialty sensor software to run on Mac.

    that .4% is likely not 0 because they are nerds.

    seriously tho if Qualcomm chips can make a Linux book that lasts all day i would happily make the switch





  • as you might have guessed i haven’t really tried it, but i have been reading about it. that said i have used “drop in replacement” tools like this (we use pnpm at work), and a drop in replacement is not without quirks. they wouldn’t have made a different tool altogether if it was really a 1:1 replacement. just because the commands are the same doesn’t mean it behaves the same. i.e. i doubt one person on the team could be using uv while everyone else sticks to pip


  • definitely not the real reason for a project like this to exist. Python package management can be nightmarish at times depending on what you’re doing. between barebones requirements.txt, Poetry, and the different condas there’s a ton of fragmentation, and none of them do everything you’d want in an ideal way. above and beyond speed, i think uv is another attempt at it. but it could just be another classic xkcd moment where now there’s just another standard to deal with



  • i’ve used Chezmoi for years now pretty successfully. works on my Mac and Linux machines. it probably could be made to work on Windows. i am transitioning to NixOS, but i’ll probably keep using it anyway, since i still have Macs for work (and because they’re great laptops don’t @ me). the only real downside is that it only works for the home folder, so i have to manually control stuff for /etc, but i generally prefer user configuration for most tools anyway.

    i had messed around with Ansible for this in the past, but i didn’t really like it for this use case. it’s been a while tho so it’s hard to say why.

    not to pile on, but you might also look at GNU Stow. i decided against it, but it’s there.

    obligatory i s’pose: https://github.com/covercash2/dotfiles




  • i guess i liked this theory when i was in college eating mushrooms on the regular, but isn’t it kind of weird? like, is a dog not conscious? or did they suddenly become conscious from mushrooms too? to me it feels like tool usage that enables written language is by far the biggest differentiator between humans and “lower” species. i mean, dolphins may be as smart as humans but they have no fuckin clue what their great great grandmother’s name was and have little hope of solving differential equations trying to draw in the sand with their flippers.

    maybe this is just my belief system, but i don’t think eating a mushroom gave anyone a “soul”. i know the feeling of coming down and feeling like you’ve left the cave and everyone else is just looking at shadows on the wall, but those people are conscious of the shadows at least.


  • it’s super weird that people think LLMs are so fundamentally different from neural networks, the underlying technology. neural network architectures are constantly improving, and LLMs are just a product of a ton of research and an emergence after the discovery of the transformer architecture. what LLMs have shown us is that we’re definitely on the right track using neural networks to solve a wide range of problems classified as “AI”