https://github.com/laion-ai/open-assistant being built in the open already. you can contribute too.
please also notice that the article you linked is about the text classifier of the frontend and not the LLM itself
but hey, those are the same people who made the dataset (laion5b) for stable diffusion. I have hope.
From the graph (above) linked by the top comment in your [2], I'm wondering whether this demonstrates more anti-conservative bias than liberal bias, or whether the alternative meanings of conventionally conservative versus conventionally liberal words dictate the frequency of a flag.
For instance, "Republican" means a variety of things around the world, but "Democrat" is far more likely to indicate the US Democrat party (which is frequently misstated as the "Democratic party"), or a national Democrat party in general. People would tend to write "I'm a democrat" to assign their membership to the party, whereas they'd say "I'm democratic" to assign their leanings toward the system. But "I'm a republican" means both.
Where are you getting this? The proper term is indeed "Democratic party", and this is almost universal outside of the conservative bubble. You might personally think it's not small-d democratic, but that doesn't make "Democrat party" correct.