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How to de-radicalize my mom's youtube algorithm?
(lemmy.eco.br)
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this post was submitted on 08 Jul 2023
1438 points (97.5% liked)
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It's even worse than "a lot easier". Ever since the advances in ML went public, with things like Midjourney and ChatGPT, I've realized that the ML models are way way better at doing their thing that I've though.
Midjourney model's purpose is so receive text, and give out an picture. And it's really good at that, even though the dataset wasn't really that large. Same with ChatGPT.
Now, Meta has (EDIT: just a speculation, but I'm 95% sure they do) a model which receives all data they have about the user (which is A LOT), and returns what post to show to him and in what order, to maximize his time on Facebook. And it was trained for years on a live dataset of 3 billion people interacting daily with the site. That's a wet dream for any ML model. Imagine what it would be capable of even if it was only as good as ChatGPT at doing it's task - and it had uncomparably better dataset and learning opportunities.
I'm really worried for the future in this regard, because it's only a matter of time when someone with power decides that the model should not only keep people on the platform, but also to make them vote for X. And there is nothing you can do to defend against it, other than never interacting with anything with curated content, such as Google search, YT or anything Meta - because even if you know that there's a model trying to manipulate with you, the model knows - there's a lot of people like that. And he's already learning and trying how to manipulate even with people like that. After all, it has 3 billion people as test subjects.
That's why I'm extremely focused on privacy and about my data - not that I have something to hide, but I take a really really great issue with someone using such data to train models like that.
Just to let you know, meta has an open source model, llama, and it's basically state of the art for open source community, but it falls short of chatgpt4.
The nice thing about the llama branches (vicuna and wizardlm) is that you can run them locally with about 80% of chatgpt3.5 efficiency, so no one is tracking your searches/conversations.
I was using ChatGPT only as an example - I don't think that making a chatbot AI is their focus, so it's understandable that they are not as good at it - plus, I'd guess that making a coherent text is a lot harder than deciding what kind of video or posts to put in someones feed.
And that AI, the one that takes users data as input and outputs what to show him in his feed to keep him glued to Facebook for as much as possible, I'm almost sure is one of the best ML we have on the world right now - simply because of the user base and time it has to learn on, and the sheer amount of data Meta has about users. But that's also something that will never get public, naturally.