Twitter is just one example though, this problem is going to affect every single online community. If the LLM bull case is correct, the internet is going to be absolutely flooded with sophisticated misinformation.

Sophisticated being key. Quantity * quality almost indiscernible from mediocre human input.

Currently we tend to understand bad information on the stream as a function where quality is linear and quantity is exponential, and individuals or human filters can still identify reject the lower 99% as spam. Every point closer on the graph the quality comes to resemble human-made content represents an exponential degree of further confusion as to base facts. This isn't even considering whether AI develops its own will to conduct confusion ops; as a tool for bad actors it's already there, but that says nothing of the scale it could operate at eventually.

The sophistication of the misinformation is exactly the point: That's the mass multiplier, not the volume.

_Berenstein_ Bears. Don't fall for the fake news. ;)

I’d never heard of the effect, but fell for it anyway because “-stain” is so unusual.

https://en.wikipedia.org/wiki/Berenstain_Bears#Name_confusio...

To save people the search: https://www.youtube.com/watch?v=7h8jqEs_8kA