But (+> contradiction) ML is being used in the industry in tons of places [...] store product recommendation…).
By context it's rather clear which type of machine learning I'm talking about, given the OP. I'm not talking about the simple models that you're talking about and that, as you said, already found economically viable applications.
Past that "it's generative models, not machine learning" is on the same level as "it's a cat, not a mammal". One is a subset of the other, and by calling it "machine learning" my point was to highlight that it is not a "toothed and furry chicken" as the term AI implies.
All three manage to be somehow lame and badass at the same time. Stark in special - he's afraid, he said that he'd potentially run away, but he felled a fucking dragon on his own!
That said I think that it's better to create instances for languages than countries. Three reasons:
It's language that dictates availability of a piece of content for the user.
It encourages linguistic minorities to help us to grow the Fediverse. Reddit doesn't give a fuck about them because they aren't profitable merchandise=users for its customers=advertisers, but Lemmy isn't bound to that.
Some people would rather use their L2, L3 etc.
A good example of that is feddit.de - note how the instance targets German speakers, not people from Germany.
Another sloppiness that I didn't mention is that a lot of human neurons are there for things that have nothing to do with either reasoning or language; making your heart beat, transmitting pain, so goes on. However I think that the comparison is still useful in this context - it shows how big those LLMs are, even in comparison with a system created out of messy natural selection. The process behind the LLMs seems inefficient.
Easier said than done, and I'm not myself a good example of that, but:
Create and maintain communities where users can talk about popular topics. Specially OC. Mild word-of-mouth advertisement of those communities and the platform as a whole, be it in other social media platforms or even offline.
Make sure to discourage the participation of certain types of users, because they will chase away the others. I can go further on that if anyone wants, but I think that the most important ones in this context are users who target others based on race, ethnicity, native language, where you're from, or government that you pay taxes to.
Language and homeland should never be conflated, unless you want to tell linguistic minorities to fuck off (don't do this). It's fine to create a community for a specific language, or for a specific region/country/etc., but not both at the same time.
Make sure that the interface is translated to the target language. And if it isn't, consider contributing with it.
Okay... let's call wine "wine" and bread "bread": the acronym "AI" is mostly an advertisement stunt.
This is not artificial intelligence; and even if it was, "AI" is used for a bag of a thousand cats - game mob pathfinding, chess engines, swarm heuristic methods, so goes on.
What the article is talking about is far more specific, it's what the industry calls "machine learning"¹.
So the text is saying that machine learning is costly. No surprise - it's a relatively new tech, and even the state of art is still damn coarse². Over time those technologies will get further refined, under different models; cost of operation is bound to reduce over time. Microsoft and the likes aren't playing the short game, they're looking for long-term return of investment.
I'd go a step further and claim here that "model-based generation" is more accurate. But that's me.
LLMs are a good example of that; GPT-4 has ~210¹² parameters. If you equate each to a neuron (kind of a sloppy comparison, but whatever), it's more than an order of magnitude larger than the ~110¹¹ neurons in a human brain. It's basically brute force.
I never looked for potential laws against that, because... well, Latin America. But I think that it would be hard to classify it as either - it's multiple independent and uncoordinated agents, and the disturbance/harassment is not due to one of them interacting with you, but all of them.
I think that the city needs to pass some law specifically against selling and advertising stuff on public places.
It's "a thing that happens" when it's sporadic. But when it becomes frequent, annoying or obtrusive enough, it becomes a reason to avoid the space, it makes the space less fun. Same deal with the internet.
The thing in my city? It's like this, but each 5~10 minutes. Each time it's a different person advertising something else. It's frequent enough that you can't hold a decent conversation, even if your only "mistake" was to sit on a bench in a public space. If you ignore the advertiser, they'll insist and use a slightly louder tone, as if you were assumed to be deaf; and if you ask them to leave you alone [even politely] they'll babble about "trying to help you so you don't miss this amazing opportunity".
Just to give you an idea: once, my then girlfriend and me decided to count it. We sit on a bench, drinking some booze, and we got twelve advertisers bugging us in a hour and half. Including: eyeglasses stores, phone providers advertising "number portability", local popular restaurants, handcrafted accessories sellers, gold buyers, so goes on.
It's basically an offline example of the same thing that happens on the internet. Everybody and their dog wants your attention, and they'll make sure to be heard against your will. The text doesn't directly acknowledge that, but note how everything there ties it to advertisers, from "S.E.O. hackers have ruined the trick of adding “Reddit” to searches to find human-generated answers" (why? For ad views!) to Tiktok "pushes us to scroll through another dozen videos of cooking demonstrations or funny animals" (why? Ad views.)
In the early 00s, here in my city, it was fun to go to a certain pedestrians-only avenue to drink with friends. Or a date. If you do it now - yes, post-COVID lockdowns! - you can't hold a conversation for five fucking minutes without someone interrupting you with advertisement. As a result, people use that avenue nowadays strictly to commute.
I've ditched TV when I was 14. (I don't regret it.) But plenty people told me that open TV, and then cabled TV, became unbearable due to the sheer amount of advertisement.
Unless I recognise the number, I'm not bothering to pick the phone up any more. I'm probably not the only one doing it.
Are you noticing the pattern? Perhaps the internet suffers a bit more with it because people are a bit freer to do what they want here, but the problem is not exclusive to the internet, it's everywhere advertisers appear. The world has become less fun due to advertisers ("how do people DARE to have fun and ignore our «marketing opportunities»?").
More specifically: you should know how to cook at least well enough to feed yourself in a healthy and bearable way. Anything past that is bonus. (I do recommend going further though.)
Lvxferre @ lvxferre @lemmy.ml Posts 17Comments 1,115Joined 4 yr. ago
By context it's rather clear which type of machine learning I'm talking about, given the OP. I'm not talking about the simple models that you're talking about and that, as you said, already found economically viable applications.
Past that "it's generative models, not machine learning" is on the same level as "it's a cat, not a mammal". One is a subset of the other, and by calling it "machine learning" my point was to highlight that it is not a "toothed and furry chicken" as the term AI implies.
I'm aware, as footnote #1 shows.