Safety/Alignment researchers have been too fixated on making the one perfect LLM that has zero bias (or, arguably, one preferred bias) in my opinion.

I don't think Musk is the type of person to make the same mistake, so we'll either end up with a Twitter LLM that accurately represents the sum total of the Twitter firehose, and/or many derivative LLMs each having a set of, possibly orthogonal, biases. Honestly, I think the later is preferable and would represent the diversity of opinions in reality more accurately.

Given the data source, I think it will be important to be able to switch between LLM personalities in the future to get the "crowd truth".

> Twitter LLM that accurately represents the sum total of the Twitter firehose,

We need an xkcd showing a conversation between twitter, reddit, and hacker news based LLMs. Political rage meets memes meets pedantry.