This comment assumes you're familiar with LLM training realities. Preference is transferred to the model in both pre and post training. Pretraining datasets are curated to an extent (implicit transfer), but they're simply too vast to be fully controlled, and need to be diverse, so you can't throw too much out or the model will be dumb. Post-training datasets and methods are precisely engineered to make the model useful and also steer it in the desired direction. So there are always two types of biases - one is picked up from the ocean of data, another (alignment training, data selection etc) is forced onto it.

I'm not even saying biases are necessarily political, it can be anything. The entire post-training is basically projection of what developers want, and it works pretty well. Claude, Gemini, GPT all have engineered personalities controlled by dozens/hundreds of very particular internal metrics.

What kind of liberalism are you talking about?

> it's mostly correct

Wow. Surely you've wondered why almost no society anywhere ever had liberalism a much as western countries in the past half century or so? Maybe it's technology or maybe it's only mostly correct if you don't care about the existential risks it creates for the societies practicing it.

I believe liberals are pretty good at being bad people, once they don't get what they want. I, personally, are prett disappointed about what I've heard uttered by liberals recently. I used to think they are "my people". Now I can't associate with 'em anymore.

I would imagine these models heavily bias towards western mainstream "authorative" literature, news and science not some random reddit threads, but the resulting mixture can really offend anybody, it just depends on the prompting, it's like a mirror that can really be deceptive.

I'm not a liberal and I don't think it has a liberal bias. Knowledge about facts and history isn't an ideology. The right-wing is special, because to them it's not unlike a flat-earther reading a wikipedia article on Earth getting offended by it, to them it's objective reality itself they are constantly offended by. That's why Elon Musk needed to invent their own encyclopedia with all their contradictory nonsense.

I didn't just wave this argument around, I am blind myself. I didn't try to trigger you, so no, you are not supposed to be angry. I get your point though, what companies offer is pretty much their choice. If there are enough diversified offerings, people can vote with their wallet. However, diversity is pretty rare in the alignment space, which is what I personally don't like. I had to grab a NSFW model from HuggingFace where someone invested the work to unalign the model. Mind you, I dont have an actual use case for this right now. However, I am off the opinion: if there is finally a technology which can describe pictures in a useful way to me, I dont want it to tell me "I am sorry, I cant do that" because I am no longer in kindergarden. As a mature adult, I expect a description, no matter what the picture contains.