Sorry about that.

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Joined 1 year ago
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Cake day: June 12th, 2023

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  • Are you saying that traditional food delivery drivers get trained specifically not to hit on people when they deliver food? I don’t have any data but I feel like that’s not really a thing. Maybe my concept of the training a food delivery driver gets is way off the mark?

    I’m also pretty sure that it’s easier to give a bad review that others will see via one of these food delivery apps than it is if you go directly to the business.

    I think we all agree that this is inappropriate and should not be happening, I just don’t see how it doesn’t apply at least equally to traditional delivery drivers.




  • I can’t say I fully understand how LLMs work (can’t anyone??) but I know a little and your comment doesn’t seem to understand how they use training data. They don’t use their training data to “memorize” sentences, they use it as an example (among billions) of how language works. It’s still just an analogy, but it really is pretty close to LLMs “learning” a language by seeing it used over and over. Keeping in mind that we’re still in an analogy, it isn’t considered “derivative” when someone learns a language from examples of that language and then goes on to write a poem in that language.

    Copyright doesn’t even apply, except perhaps on extremely fringe cases. If a journalist put their article up online for general consumption, then it doesn’t violate copyright to use that work as a way to train a LLM on what the language looks like when used properly. There is no aspect of copyright law that covers this, but I don’t see why it would be any different than the human equivalent. Would you really back up the NYT if they claimed that using their articles to learn English was in violation of their copyright? Do people need to attribute where they learned a new word or strengthened their understanding of a language if they answer a question using that word? Does that even make sense?

    Here is a link to a high level primer to help understand how LLMs work: https://www.understandingai.org/p/large-language-models-explained-with


  • My first playthrough was the same thing, but I think it’s because I picked her up so late in Act 1. I have no actual data but I think that if you don’t have a certain level of approval with her when you

    spoiler about Karlach's side quest

    have her heart tuned the first time

    you miss out on romancing her for the rest of the game. For my playthrough, I basically picked her up, and started progressing through her quest immediately, and already that the item needed to finish her act 1 storyline; I think that’s what locked me out. Again, I’m just speculating, though.



  • Check out VanillaOS. I think it’s pretty neat. Their webpage doesn’t really get into the benefits as much as I think they should, but a very quick summary is that it leverages distrobox and some custom package manager to allow you to seamlessly install and run packages from other distros. It’s also kind of an immutable OS (but not really). It lets you pick which types of apps you want during the install (snaps, fltapak, AppImage, etc)

    I am not super in the loop about why people are so against snaps, but I don’t like the centralized nature of them, and if that’s also the general concern, then flatpak should be fine, since it’s decentralized.

    I saw a couple youtube videos about VanillaOS; I could certainly find you one of them if you want to know more.