She’s almost 70, spend all day watching q-anon style of videos (but in Spanish) and every day she’s anguished about something new, last week was asking us to start digging a nuclear shelter because Russia was dropped a nuclear bomb over Ukraine. Before that she was begging us to install reinforced doors because the indigenous population were about to invade the cities and kill everyone with poisonous arrows. I have access to her YouTube account and I’m trying to unsubscribe and report the videos, but the reccomended videos keep feeding her more crazy shit.
I’m a bit disturbed how people’s beliefs are literally shaped by an algorithm. Now I’m scared to watch Youtube because I might be inadvertently watching propaganda.
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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.
Reason and critical thinking is all the more important in this day and age. It’s just no longer taught in schools. Some simple key skills like noticing fallacies or analogous reasoning, and you will find that your view on life is far more grounded and harder to shift
Just be aware that we can ALL be manipulated, the only difference is the method. Right now, most manipulation is on a large scale. This means they focus on what works best for the masses. Unfortunately, modern advances in AI mean that automating custom manipulation is getting a lot easier. That brings us back into the firing line.
I’m personally an Aspie with a scientific background. This makes me fairly immune to a lot of manipulation tactics in widespread use. My mind doesn’t react how they expect, and so it doesn’t achieve the intended result. I do know however, that my own pressure points are likely particularly vulnerable. I’ve not had the practice resisting having them pressed.
A solid grounding gives you a good reference, but no more. As individuals, it is down to us to use that reference to resist undue manipulation.
My personal opinion is that it’s one of the first large cases of misalignment in ML models. I’m 90% certain that Google and other platforms have been for years already using ML models design for user history and data they have about him as an input, and what videos should they offer to him as an ouput, with the goal to maximize the time he spends watching videos (or on Facebook, etc).
And the models eventually found out that if you radicalize someone, isolate them into a conspiracy that will make him an outsider or a nutjob, and then provide a safe space and an echo-chamber on the platform, be it both facebook or youtube, the will eventually start spending most of the time there.
I think this subject was touched-upon in the Social Dillema movie, but given what is happening in the world and how it seems that the conspiracies and desinformations are getting more and more common and people more radicalized, I’m almost certain that the algorithms are to blame.
If youtube “Algorithm” is optimizing for watchtime then the most optimal solution is to make people addicted to youtube.
The most scary thing I think is to optimize the reward is not to recommend a good video but to reprogram a human to watch as much as possible
I think that making someone addicted to youtube would be harder, than simply slowly radicalizing them into a shunned echo chamber about a conspiracy theory. Because if you try to make someone addicted to youtube, they will still have an alternative in the real world, friends and families to return to.
But if you radicalize them into something that will make them seem like a nutjob, you don’t have to compete with their surroundings - the only place where they understand them is on the youtube.
100% they’re using ML, and 100% it found a strategy they didn’t anticipate
The scariest part of it, though, is their willingness to continue using it despite the obvious consequences.
I think misalignment is not only likely to happen (for an eventual AGI), but likely to be embraced by the entities deploying them because the consequences may not impact them. Misalignment is relative
My normal YT algorithm was ok, but shorts tries to pull me to the alt-right.
I had to block many channels to get a sane shorts algorythm.
“Do not recommend channel” really helps
Using Piped/Invidious/NewPipe/insert your preferred alternative frontend or patched client here (Youtube legal threats are empty, these are still operational) helps even more to show you only the content you have opted in to.