• 2 Posts
  • 396 Comments
Joined 4 years ago
cake
Cake day: January 17th, 2022

help-circle


  • Honestly… I come from iOS, using for nearly a decade. Yes that stuff is secure, yes that stuff is (or at least was) stable, yes that stuff is slick to the point of being a status symbol… but DAMN does it suck for interoperability!

    Every success of bringing the Apple ecosystem to interact with anything is just so ridiculously hard… for in the end bringing very little.

    Do yourself a favor, switch to (deGoogled) Android to enjoy KDE Connect, adb, scrcpy, etc just working out of the box, copying normal files the normal way, however you want. Try “just” Linux if you can’t but on mobile that’s not for everyone.

    Again, I celebrate this success and all ways, e.g. iSH or Homebrew, that help to tinker, manage, work with Apple hardware but honestly I suggest ignoring it entirely. Just rely on software and hardware that actually provides the bare minimum to be interoperable. Not this.

    Instead use this, and iSH, Homebrew, libimobiledevice, and the rest to transition AWAY from that locked ecosystem.


  • Hard to fall behind what? None of them is making anything interesting. Best they can do is provide some text that sound superficially plausible, is statistically correct and yet have 0 reasoning.

    Nobody is “ahead” of anybody except is managing to do so with even more data while wasting even more resources.

    Maybe more importantly of the participants in that race demonstrated that to keep on doing so will actually solve any of the problems that have been discovered along the way.







  • Tracking from WHOM and thus WHY should be the question.

    It’s different to be tracked for profit, e.g. Google or Meta, versus for political or corporate espionage purposes.

    The former is basically volunteering information through bad practices. Those companies do NOT care about “you” as an individual. In fact they arguably do not even know who you are. Avoiding their services is basically enough. It might be inconvenient but it’s easy : just do not.

    The later is a totally different beast. If somehow the FSB, because you criticized Putin, or NSO Group, for something similar or because you have engineer something strategic to a business competitor who is a client of theirs, then you will be specifically targeted. This is an entirely different situation and IMHO radically more demanding. You basically don’t have to just care about privacy good practices, which is enough for the former, but rather know the state of the art of security.

    So… assuming you “just” worry about surveillance capitalism and hopefully live in a jurisdiction benefiting from the Brussels effect with e.g GDPR related laws, either way is fine.


  • I’m new to Linux from about 3 months ago, so it’s been a bit of a learning curve on top to learning VE haha. I didn’t realize CUDA had versions

    Yeah… it’s not you. I’m a professional developer and have been using Linux for decades. It’s still hard for me to install specific environments. Sometimes it just works… but often I give up. Sometimes it’s my mistake but sometimes it’s also because the packaging is not actually reproducible. It works on the setup that the developer used, great for them, but slight variation throw you right into dependency hell.




  • There’s no getting around using AI for some of this, like subtitle generation

    Eh… yes there is, you can pay actual humans to do that. In fact if you do “subtitle generation” (whatever that might mean) without any editing you are taking a huge risk. Sure it might get 99% of the words right but it fucks up on the main topic… well good luck.

    Anyway, if you do want to go that road still you could try

    • ffmpeg with whisper.cpp (but honestly I’m not convinced hardcoding subtitles is a good practice, why not package as e.g. .mkv? Depends on context obviously)
    • Kdenlive with vosk
    • Kdenlive with whatever else via *.srt *.ass *.vtt *.sbv formats



  • Sad but unsurprising.

    I did read quite a lot on the topic, including “Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass.” (2019) and saw numerous documentaries e.g. “Invisibles - Les travailleurs du clic” (2020).

    What I find interesting here is that it seems the tasks go beyond dataset annotation. In a way it is still annotation (as in you take a data in, e.g. a photo, and your circle part of it to label i.e. e.g “cat”) but here it seems to be 2nd order, i.e. what are the blind spots in how this dataset is handled. It still doesn’t mean anything produced is more valuable or that the expected outcome is feasible with solely larger datasets and more compute yet maybe it does show a change in the quality of tasks to be done.