A computer science enthusiast.

https://myxi.envs.net

  • 5 Posts
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Joined 1 year ago
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Cake day: June 30th, 2023

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  • myxi@feddit.nltoMemes@sopuli.xyz*sweating intensifies*
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    5 months ago

    The data collected from these tools are used to train models that detect cars and stuff with precise accuracy. Decades of data from millions of users each day. Once these are perfected, they will be sold to smart car users as auto-driving mode and what not. These services are likely going to be subscription based to maximize the profits.


  • myxi@feddit.nlto196@lemmy.blahaj.zonepangram rule
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    6 months ago

    There’s a "the’ in the quote.

    The quick brown fox jumps over the lazy dog.

    >>> sorted(set("The quick brown fox jumps over the lazy dog"))[2:]
    ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
    



  • I don’t care about video comments anymore; in my experience it was filled with attention-seeking content and incels trying to look cool. It’s also full of bots in the reply sections.

    Instead, I use mpv media player to watch YouTube. I pick a video off my recommendations or the subscription page then I copy the video link and then I just have to do mpv <video link> in my terminal. It’s also much faster on my low-end PC.

    It doesn’t have sponser-block support, but it does have ad-blocker. I haven’t really checked sponser-block support yet either.

    Edit: found this for sponser-block support.



  • Thanks for note. Do they currently have that backend?

    That aside, you might want to try Nim. It’s pretty cool. It can compile to C and C++, and JS. There have been browser extensions made with it. Heck, it even has an LLVM backend. And the C code it generates it pretty fast on benchmarks. It’s filled with tons of metaprogramming stuff and AST-level macros. And it has this cool thing where it can ignore name casing of identifiers like variables and functions; so isSome == is_some.




  • Hi, I spent some time trying out the dictd package. I also read this protocol’s specification. As things are right now, each host-name would require its own parser, because I couldn’t notice a very similar pattern between them. Webster, Jargon, wn, all these have their own standardization for including synonyms and examples.

    The specification doesn’t enforce any pattern on the definitions either. I don’t think it’s going to be very useful even if I do implement it because the parsers are going to be quite complicated.









  • I agree fully. I basically never download music anymore, because I can get all the music I can think of on Spotify for a few bucks a month.

    I recently started music pirating because I listen to a lot of genres and I want to shuffle them. If I use Spotify, I am limited to their shitty shuffler, but if I download my music offline, I can shuffle however I want. My favorite algorithm to shuffle my huge bunch of music is to shuffle them by genre. Now I get to listen to interesting music with full control over the algorithm used.

    Also, there are frequent power cuts in my area, so an offline library always proves useful. I also visit places where internet connections are not available.




  • The program itself isn’t really bigger, what makes the difference is that it won’t use the dependencies installed by your native package manager, it will download them, it also will download various runtimes if needed for the program, these runtimes are not really supposed to be ran if you compile the package yourself for your distribution, but if you use Flatpak, it is going to run all these runtimes for the program to work, these runtimes will use more RAM than the native build, if the runtime is not optimised, then it will also contribute to higher use of CPU and everything else in general.

    It will differ from program to program, but I’ll let you know that I have natively compiled EasyEffects (real-time audio manipulation) and also have tried the Flatpak build. The native version hardly uses more than 5% CPU, and is also lightweight in terms of RAM. But the Flatpak build took significantly more RAM usage and my CPU went 80% whenever I played music with the same preset that I tested on the native build. Flatpak also had to download 700-900 MB worth of internet (no idea how much space it took after installation) for the program to run.