There are very few groups of people I would trust to correctly choose which "absolute truths" warrant forcibly shoving down everyone's throat, and none of them I would expect to remain in power for long (if they got it in the first place). Therefore, any mechanism for implementing this can be expected in the future to be used to shove falsehoods, propaganda, and other horrible things down everyone's throat, and is a bad idea.
Maybe people with ideas like yours need to be forcefully educated of the above truth. :-P
Maybe you meant "forcefully" less literally than I interpreted it.
People generally reject the teachings of mainstream culture because they belong to a subculture that tells them too. But rationalism is itself a culture with some contrarian beliefs, so why would rationalists know how to fix the problem?
False premise. There is no “absolute truth”. I don’t want to come across as condescending but please have a look at any somewhat recent science textbook if you doubt this claim.
I would suggest reframing to: how can we establish common ground that a) all/most people can agree on and b) facilities productive inquiry.
There are actually all sorts of false science in the wild, such as "the earth is flat" and "pandemic is government-driven lies", extending their influence even though the rational community struggled to promote the rational thinking paradigm, which I believe is a strong prerequisite for the Alignment question to be solved.
So the question is:
Edit: I found "forcefully" particularly not suiting under the context, but I can't bring a more proper expression at this time. This question is mainly on the first point, not by educating/convincing but by estimating a pre-aligned value.
Second Edit: This question might not be suitable because it's some long-standing question merged together with a manipulative intention I was not intended to express. I've changed the title to a more suitable one. Thanks for replying.
*Background: I've recently been struggling to educate some fellow artists with no ML backgrounds on generative ML models, but with little luck. *