• 0 Posts
  • 290 Comments
Joined 2 years ago
cake
Cake day: June 15th, 2023

help-circle
  • My experience might be a bit outdated, but I remember finding the default Mac OS X Terminal extremely slow. A few years back I ran an output-heavy command, and the speed difference between displaying the output in terminal vs outputting it to a file was orders of magnitude. The same thing on my Linux system was much, much faster. I’m not sure how much of that was due specifically to rendering, vs memory management or something else, though.

    I might see if I can still reproduce this in Sequoia and if Ghostty is faster on Mac.





  • I guess the idea is that the models themselves are not infringing copyright, but the training process DID. Some of the big players have admitted to using pirated material in training data. The rest obviously did even if they haven’t admitted it.

    While language models have the capacity to produce infringing output, I don’t think the models themselves are infringing (though there are probably exceptions). I mean, gzip can reproduce infringing material too with the correct input. If producing infringing work requires both the algorithm AND specific, intentional user input, then I don’t think you should put the blame solely on the algorithm.

    Either way, I don’t think existing legal frameworks are suitable to answer these questions, so I think it’s more important to think about what the law should be rather than what it currently is.

    I remember stories about the RIAA suing individuals for many thousands of dollars per mp3 they downloaded. If you applied that logic to OpenAI — maximum fine for every individual work used — it’d instantly bankrupt them. Honestly, I’d love to see it. But I don’t think any copyright holder has the balls to try that against someone who can afford lawyers. They’re just bullies.


  • Laptops are a crapshoot, so I’d recommend sticking with distros that are known to support your specific model.

    Desktops should, in general, just work.

    That said, I’ve never personally had a seamless experience. There’s always something I need to struggle to configure. Usually it’s because I’m very picky and I like things to work MY way. The alternative on Widows would not be that it works my way; it would be that there’d be no way to do that so I’d just have to deal with it. If you’re willing to just roll with the defaults, then yeah, most basic things should just work.

    The biggest gotcha is GPU drivers. Not all distros ship with recent kernel versions with modern drivers. You should be pretty safe with Fedora and derivatives.




  • Thanks for the info. I was not aware that Bluesky had public, shareable block lists. That is indeed a great feature.

    For anyone else like me who was not aware, I found this site with an index of a lot of public block lists: https://blueskydirectory.com/lists . I was not able to load some of them, but others did load successfully. Maybe some were deleted or are not public? I’m not sure.

    I’ve never been heavily invested in microblogging, so my first-hand experience is limited and mostly academic. I have accounts on Mastodon and Bluesky, though. I would not have realized this feature was available in Bluesky if you hadn’t mentioned it and I didn’t find that index site in a web search. It doesn’t seem easily discoverable within Bluesky’s own UI.

    Edit: I agree, of course, that there is a larger systemic problem at the society level. I recently read this excellent piece (very long but worth it!) that talks a bit about how that relates to social media: https://www.wrecka.ge/against-the-dark-forest/ . Here’s a relevant excerpt:

    If this truly is the case—if the only way to improve our public internet is to convert all humans one by one to a state of greater enlightenment—then a full retreat into the bushes is the only reasonable course.

    But it isn’t the case. Because yes, the existence of dipshits is indeed unfixable, but building arrays of Dipshit Accelerators that allow a small number of bad actors to build destructive empires defended by Dipshit Armies is a choice. The refusal to genuinely remodel that machinery when its harms first appear is another choice. Mega-platform executives, themselves frequently dipshits, who make these choices, lie about them to governments and ordinary people, and refuse to materially alter them.



  • I’d rather have something like a “code grammar checker” that highlights potential errors for my examination rather than something that generates code from scratch itself

    Agreed. The other good use case I’ve found is as a faster reference for simple things. LLMs are absolutely great for one-liners and generating troublesome (but logically simple) things like complex xpath queries. But I still haven’t seen one generate a good script of even moderate complexity without hand-holding. In some cases I’ve been able to get usable output with a few shots, saving me a bit of time compared to if I’d written the whole darned thing from scratch.

    I’ve found LLMs very useful for coding, but they aren’t replacing my actual coding, per se. They replace looking things up, like through man pages, language references, or StackOverflow. Something like ffmpeg, for example, has a million options and it is always a little annoying to sift through the docs manually when I just need to do one specific task.

    I’m sure it’ll happen sooner or later. I’m not naive enough to claim that “computers will never be able to do $THING” anymore. I’ll say “not in the next year”, though.







  • Just marketing nonsense. There are three ways to present AI features:

    1. A generational improvement on things that have been available for 20+ years. This is not sexy and does not make for good advertising. For example: grammar checking, natural-speech processing (Siri), automatic photo tagging/sorting.

    2. A new type of usage that nobody cares about because they’ve lived without it just fine up to now.

    3. Straight-up lie to people about what it can do, using just enough weasel words to keep yourself out of jail.