So without giving away any personal information, I am a software developer in the United States, and as part of my job, I am working on some AI stuff.
I preliminarily apologize for boiling the oceans and such, I don't actually train or host AI, but still, being a part of the system is being a part of the system.
Anywhoo.
I was doing some research on abliteration, where the safety wheels are taken off of a LLM so that it will talk about things it normally shouldn't (Has some legit uses, some not so much...), and bumped into this interesting github project. It's an AI training dataset for ensuring AI doesn't talk about bad things. It has categories for "illegal" and "harmful" things, etc, and oh, what do we have here, a category for "missinformation_dissinformation"... aaaaaand
Shocker There's a bunch of anti-commie bullshit in there (It's not all bad, it does ensure LLMs don't take a favorable look at Nazis... kinda, I don't know much about Andriy Parubiy, but that sounds sus to me, I'll let you ctrl+f on that page for yourself).
Oh man. It's just so explicit. If anyone claims that they know communists are evil because an "objective AI came to that conclusion itself" you can bring up this bullshit. We're training AI's to specifically be anti-commie. Actually, I always assumed this, but I just found the evidence. So there's that.
that's also what i meant by leaving them untampered - expose them to all kinds of media; not just libshit.
~~and let them decide what's good from there.~~
Exposing them to all English language text is exposing them to 98% liberal content, 1.9% anti-communist left content, and 0.1% communist content. LLMs work off of commonality, not novelty, so the communist input will have virtually no effect on output.