Today the International Committee of the Fourth International inaugurates Socialism AI, a transformative application of advanced technological development to the political education and mobilization of the international working class.
I have not read the article yet but i think this is a good topic to discuss here.
If done well, I think LLMs could be a pretty decent entry point for newbies. They don’t need 100% perfect dialectical analysis, they just need to be pointed vaguely in the right direction. As long as you can train it to emphasize the importance of reading actual theory rather than just relying it on information, it wouldn’t necessarily be a bad thing.
they just need to be pointed vaguely in the right direction.
And that’s really important.
I tried to see the feasability of using local LLMs to sift through news/propaganda to make me a personalized report, and perhaps even send alerts of important things, so I tried it with something related to what’s going on in Ukraine and wow was it bad.
Anything Russia said was immediatelly false and whatever Ukraine said was fact, no questions asked. It couldn’t even be asked to summarize things without just repeating propaganda that wasn’t even in context.
And that was a Chinese open-weight LLM as well.
So yeah, just having LLMs that don’t repeat propaganda blindly would be really helpfull, and if the LLM had a Marxist-Leninist background and gave a lot of weight to such views, perhaps through training using real and synthetic discussions from such a PoV, would make a lot of things possible.
Oh yeah, even the Chinese LLMs are pretty lib because the most of the internet (especially the English part) is dominated by liberal content, and the model makers (the Chinese ones, I mean) optimise them for coding or math performance without caring much about ideology.
There is definitely an opportunity for someone to fine-tune it with Marxist content, but the prerequisite for this is to build large enough datasets with the right information and analysis. This is why stuff like Prolewiki is so important.
Exactly, and them being interactive is a really valuable aspect. It lets people explore things in a way that makes most sense to them, and to pull on the threads they want to pull on easily.
If done well, I think LLMs could be a pretty decent entry point for newbies. They don’t need 100% perfect dialectical analysis, they just need to be pointed vaguely in the right direction. As long as you can train it to emphasize the importance of reading actual theory rather than just relying it on information, it wouldn’t necessarily be a bad thing.
And that’s really important.
I tried to see the feasability of using local LLMs to sift through news/propaganda to make me a personalized report, and perhaps even send alerts of important things, so I tried it with something related to what’s going on in Ukraine and wow was it bad.
Anything Russia said was immediatelly false and whatever Ukraine said was fact, no questions asked. It couldn’t even be asked to summarize things without just repeating propaganda that wasn’t even in context.
And that was a Chinese open-weight LLM as well.
So yeah, just having LLMs that don’t repeat propaganda blindly would be really helpfull, and if the LLM had a Marxist-Leninist background and gave a lot of weight to such views, perhaps through training using real and synthetic discussions from such a PoV, would make a lot of things possible.
Oh yeah, even the Chinese LLMs are pretty lib because the most of the internet (especially the English part) is dominated by liberal content, and the model makers (the Chinese ones, I mean) optimise them for coding or math performance without caring much about ideology.
There is definitely an opportunity for someone to fine-tune it with Marxist content, but the prerequisite for this is to build large enough datasets with the right information and analysis. This is why stuff like Prolewiki is so important.
Exactly, and them being interactive is a really valuable aspect. It lets people explore things in a way that makes most sense to them, and to pull on the threads they want to pull on easily.