You seem to have the assumption that they’re not. And that “helping society” is anything more than a happy accident that results from “making big profits”.

It’s not an assumption. There’s academic researchers at universities working on developing these kinds of models as we speak.

Are you asking me whether it’s a good idea to give up the concept of “Privacy” in return for an image classifier that detects how much film grain there is in a given image?

I’m not wasting time responding to straw men.

It’s a statistical model. Given a sequence of words, there’s a set of probabilities for what the next word will be.

That is a gross oversimplification. LLM’s operate on much more than just statistical probabilities. It’s true that they predict the next word based on probabilities learned from training datasets, but they also have layers of transformers to process the context provided from a prompt to eke out meaningful relationships between words and phrases.

For example: Imagine you give an LLM the prompt, “Dumbledore went to the store to get ice cream and passed his friend Sam along the way. At the store, he got chocolate ice cream.” Now, if you ask the model, “who got chocolate ice cream from the store?” it doesn’t just blindly rely on statistical likelihood. There’s no way you could argue that “Dumbledore” is a statistically likely word to follow the text “who got chocolate ice cream from the store?” Instead, it uses its understanding of the specific context to determine that “Dumbledore” is the one who got chocolate ice cream from the store.

So, it’s not just statistical probabilities; the models’ have an ability to comprehend context and generate meaningful responses based on that context.

If enforcement means big tech companies have to throw out models because they used personal information without knowledge or consent, boo fucking hoo

A) this article isn’t about a big tech company, it’s about an academic researcher. B) he had consent to use the data when he trained the model. The participants later revoked their consent to have their data used.

How is “don’t rely on content you have no right to use” litteraly impossible?

At the time they used the data, they had a right to use it. The participants later revoked their consent for their data to be used, after the model was already trained at an enormous cost.

ok i guess you don’t get to use private data in your models too bad so sad

You seem to have an assumption that all AI models are intended for the sole benefit of corporations. What about medical models that can predict disease more accurately and more quickly than human doctors? Something like that could be hugely beneficial for society as a whole. Do you think we should just not do it because someone doesn’t like that their data was used to train the model?

There’s nothing that says AI has to exist in a form created from harvesting massive user data in a way that can’t be reversed or retracted. It’s not technically impossible to do that at all, we just haven’t done it because it’s inconvenient and more work.

What if you want to create a model that predicts, say, diseases or medical conditions? You have to train that on medical data or you can’t train it at all. There’s simply no way that such a model could be created without using private data. Are you suggesting that we simply not build models like that? What if they can save lives and massively reduce medical costs? Should we scrap a massively expensive and successful medical AI model just because one person whose data was used in training wants their data removed?

You still use TP if you have a bidet though

The anecdote proves nothing because the model could potentially have known of the McGonagal character without ever being trained on the books, since that character appears in a lot of fan fiction. So their point is invalid and their anecdote proves nothing.

Honestly, I think yes, it’s inevitable. The reason why is that keeping up with constantly changing technologies requires constantly learning how to do everything over again, and again, and again. It will get tiring eventually, and people will feel that learning the ins and outs of yet another social media app just isn’t worth it when they can already get by.

I say this as as software developer who sees a new tool or framework or language come out every year that’s bigger and better than the last, and I see the writing on the wall for myself. I’ll be outdated and just some old geezer who works on legacy tech stacks in 10-20 years, just like the guys working in COBOL or whatever now.

I’m still calling it Twitter because it will piss off Elon Musk if everyone keeps calling it Twitter and I think that’s funny.

I mean, they need to ramp it way faster. It’s pretty garbage right now and there’s really no excuse. Compare it to Lemmy and it’s very obvious. Lemmy still has problems, but it’s much easier to use and has way fewer bugs and glitches. If you’re used to Reddit, then switching to Lemmy is pretty easy to do, and I can see average users making that jump. But Mastadon isn’t even close to the user experience that Twitter/X offered, and I cannot see the average Twitter user sticking around and waiting for all the issue to be fixed.

It won’t last unless Mastadon gets some serious improvements. It’s buggy, glitchy, feature-poor, and confusing to use. There’s no way in its current state it’s going to compete with the big guys for the average person’s attention.

I had a pi4 but I found it struggled with transcoding and multiple streams, ended up with too much buffering.

Well in my defense I have no idea what I’m talking about.

Not quite, I think those just stream over Wi-Fi like Chromecast?

Plex has a full media server application that your can run on a computer, and you can stream your media from it over the internet to any device that has the Plex client app.

I have a Plex server set up and running on an old laptop in my bedroom with a huge library of movies and TV shows. It acts like basically any streaming service such as Netflix, but it’s my own stuff. I can watch from anywhere on any device that has a Plex client app. I can also send invitations to friends and family so they can access it, too.

Plex is just a media server. You have to acquire content through some other means, then you can host it on a Plex server and stream it to any device that has the Plex app installed.

I have a Plex server that my entire family has logins for, and I put whatever movies or shows people are interested in. Basically you can make your own mini Netflix.

I wouldn’t say that pirating is user-friendly, only that it can be more user-friendly than logging into and searching through multiple streaming services. That of course pre-supposes that you have some knowledge of how to torrent and where to find torrent files.

Waterproofing isn’t important so I can take it swimming; it’s important in case I drop it in a puddle.

The battery on an iPhone is good for about 1000 charge cycles (will maintain at least 85% capacity), which is about 3 years of normal use. After that, it costs like $80 to have Apple replace the battery. That’s absolutely worth it to me for the improved water resistance.

The problem with removable batteries is that you sacrifice water-proofness. That’s why iPhone batteries aren’t removable: Apple found that, on average, people prefer a water-proof phone over a replaceable battery. If you make the battery to removable, you can’t use sealants anymore, you’re just relying on a gasket.

Personally, I would rather have a phone that can handle being dropped in a sink full of dishes and am happy to pay $80 every 3 years to have the battery swapped.

I pay for Hulu, Max, Disney+, Prime, and get Netflix for free. Half the time, I still can’t find the show or movie I want to watch. But 99.99% of the time I can find a torrent for it within 20 seconds of searching. Not only is pirating cheaper, but it’s more convenient and more user friendly these days.