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 .

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.

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.

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 good 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

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.

I don’t understand. Surely they have foods that are vegan besides bread and water, right? Like, some vegetable being served or something?

I have a weak and high level grasp of how LLMs work, but what you say in this comment doesn’t seem correct. No one is really sure why LLMs sometimes make things up, and a corollary of that is that no one knows how difficult (up to impossible) it might be to fix it.

with easily accessible technology people don’t retain the skills that are supplemented by that technology.

Isn’t this the point of technology?

We don’t even know how they arrive at the output they arrive at, and it takes lengthy research just to find out how, say, an LLM picks the next word in an arbitrarily chosen sentence fragment. And that’s for the simpler models! (Like GPT-2)

That’s pretty crazy when you think about it.

So, I don’t think it’s fair to suggest they’re just “a new type of app”. I’m not sure what “revolutionary” really means but the technology behind the generative AI is certainly going to be applied elsewhere.

It’s anecdotal but I have found that the people who are “skeptical” (to use your word) about generative AI often turn out to be financially dependent on something that generative AI can do.

That it to say, they’re worried it will replace them at their job and so they very much want it to fail.

I’m not sure your second point is as strong as you believe it to be. Do you have a specific example in mind? I think most vehicle problems that would require an emergency responder will have easy access to a tow service to deal with the car with or without a human being involved. It’s not like just because a human is there that the problem is more easily solved. For minor-to-moderate accidents that just require a police report, things might get messy but that’s an issue with the law, not necessarily something inherently wrong with the concept of self driving vehicles.

Also, your first point is on shaky ground, I think. I don’t know why the metric is accidents with fatalities, but since that’s what you used, what do you think having fewer humans involved does to the chance of killing a human?

I’m all for numbers being crunched, and to be clear (as you were, I think) the numbers are the real deciding metrics here, not thought experiments.

And I think it’s 100% true that autonomous transportation doesn’t have to be perfect, just better than humans. Not that you disagree with this, but it is probably what people are thinking when they say “humans do this too”.