I think I disagree. LLMs are much better at increasing the noise than they are at getting rid of it. Worse: they are really good at making it look like they get rid of the noise.
To me, LLMs have the potential to break the Web. Instead of search engines crawling the Web and allowing people to search its content, we may have to go back to trusting people: "I read this blog because I know who writes it". The day we can prove that LLMs were used to add tens of thousands of mistakes in Wikipedia (with a political agenda), will we still be able to trust Wikipedia the way we do today?
LLMs have the potential to systematically and automatically destroy the Web.
That's the positive side of its policies. The negative side is that it often reflects the biases of its "reliable" sources meaning it often gets the same things wrong that the mainstream media and academia get wrong.
Yes most of what is on the web is not trustworthy so a Google search will not show trustable sources.
Thus I look at known trustworthy sources e.g. traditional media where their biases are known. Or places like here which get some known reputation.
Reviews long established places like Consumer Reports and Which . Reviews on sites I assume most are false - but I look at negative ones and see if there are some common problems that seem reasonable.
I assume all influencers are liars or at least advertorials.
One good rule is looking how the site/author gets paid for doing what they do. If not obvious assume that it is getting clicks.
The change is being able to see many more things, ie search engines.
You still had to be aware of the biases and note which magazines did reviews and which did advertorials.