Well, that’s a good point but I still think there are better services than Twitter/microblogging for that. Like our old friend RSS

Sure, but you can get that with something more long-form, too; it’s not exclusive to Twitter/microblogging .

Keeping in mind that I’m just giving personal opinions, I found Discovery to be too… over acted? Maybe that was just how it was written but the end result, for me, was that I was constantly rolling my eyes while watching.

Picard seemed okay but in the end I didn’t like the obvious appeals to nostalgia, for me it felt like it leaned too heavily on it instead of trying to stand on its own as a good show.

I have no idea if my experiences align with the broader community or not, but I found myself forcing myself to watch each respective show so I didn’t bother watching when a new season came out.

Please don’t take my comment as anything but me sharing my experiences with someone else who is a fan of the franchise.

SNW I’m totally on board for, though. And I was hesitant about Lower Decks at first but it’s really a good show, imo. It’s so good that it has me questioning my decision to ignore The Orville for being too silly.

I would argue that the format incentivizes short quips and discussions lacking nuance in favor of brevity, and yes, therefore it’s “bad” (to use their term) to use Twitter even if musk wasn’t turning it into Truth Social.

Well, arguably the microblogging format does have some intrinsic disadvantages.

Are you speaking legally or morally when you say someone “aught” to do something?

You most certainly can. The discussion about whether copyright applies to the output is nuanced but certainly valid, and notably separate from whether copyright allows copyright holders to restrict who or what gets trained on their work after it’s released for general consumption.

The article is literally about someone suing to prevent their art from being used for training. That’s the topic at hand.

Are you confused, or are you trying to shoehorn a different but related discussion into this one?

I was under the impression we were talking about using copyright to prevent a work from being used to train a generative model. There’s nothing in copyright that says anything about training anything. I’m not even convinced there should be.

There’s nothing in copyright law that covers this scenario, so anyone that says it’s “absolutely” one way or the other is telling you an opinion, not a fact.

Well feel free to drop a DM to me directly when you get it up and running and I’ll give it a look, for sure.

I would probably watch a youtube channel that focused more on how to improvise in cooking than how to follow a recipe, along with pointing out various useful techniques and pitfalls to avoid.

Hell, this might actually already exist. I confess I’ve never really looked.

I subscribed to releases! Good work so far!

Hey, I was up front about my data (or lack thereof) and we’re not talking about climate change or string theory, we’re talking about fast food delivery driver’s onboarding.

“The Internet” would just state it like a fact.

I’m pretty sure Tasker can make non-dismissible notifications.

Though, if a notification will actually stop you from drunk dialing, you could always change your wallpaper to something like “Don’t drunk dial”.

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

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.

You can disable it to install stuff if you want.

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.