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i haven’t personally had trouble with that since early 2023, but it depends on your dependencies
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
the semantics of C make that virtually impossible. the compiler would have to make some semantics of the language invalid, invalidating patterns that are more than likely highly utilized in existing code, thus we have Rust, which built its semantics around those safety concepts from the beginning. there’s just no way for the compiler to know the lifetime of some variables without some semantic indication
i was mostly making a joke about how this absolutely is not a common problem on any platform, not to this degree. and at least when my Arch and Nix systems go down i don’t have anyone to blame but myself. sure, systems have update issues, but a kernel level meltdown that requires a safe mode rescue? that’s literally never happened to me unless it was my fault
damn i haven’t used Windows in over a decade. are y’all ok?
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
language is intrinsically tied to culture, history, and group identity, so any concept that is expressed through a certain linguistic system is inseparable from its cultural roots
i feel like this is a big part of it. it reminds me of the Sapir Whorf Hypothesis. search results and neural networks are susceptible to bias just like a human is; “garbage in garbage out” as they say.
the quote directly after mentions that newer or more precise searches produce more coherent results across languages. that reminds me of the time i got curious and looked up Marxism on Conservapedia. as you might expect, the high level descriptions of Marxism are highly critical and include a lot of bias, but interestingly once you dig down to concepts like historical materialism etc it gets harder to spin, since popular media narratives largely ignore those details and any “spin” would likely be blatant falsehood.
the author of the article seems to really want there to be a malicious conspiratorial effort to suppress information, and, while that may be true in some cases, it just doesn’t seem feasible at scale. this is good to call out, but i don’t think these people who concern their lives with the research and advancement of language concepts are sleeping on the fact that bias exists.
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”
most Zionists i’ve met are white Protestants, and most Jews i’ve met aren’t Zionists…
lol this is like Ben Shapiro telling people in areas threatened by climate change to sell their houses. “to who? fucking Aqua Man?”
best case you’ll get $10 and whoever bought it will end up back here
Users who need to run their application in Python 2 should do so on a platform that offers support for it
damn go off
simply not true. they’re no angels or open source champions, but come on.
sure it does. it won’t tell you how to build a bomb or demonstrate explicit biases that have been fine tuned out of it. the problem is McDonald’s isn’t an AI company and probably is just using ChatGPT on the backend, and GPT doesn’t give a shit about bacon ice cream out of the box.
ah yeah. maybe less well known, but i had a dev kit from Qualcomm that came with Ubuntu
not likely. i think it requires a lot of systems working together
always? Android runs a linux kernel, and they support all kinds of embedded systems that run Linux.
pretty standard compared to OSs like Android and iOS. i think the mobile OSs, at least recently, have done better at this; they don’t ask for permission until they need it. want to import bookmarks? i need file system access for that. want to open your webcam? i need device access. doing it all upfront leads to all the problems mentioned in this thread: unclear as to why, easy to forget what access you’ve given, no ability to deny a subset of options, etc.
nushell is excellent for dealing with structured data. it’s also great as a scripting language.
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