The way I interpete it, is vast amounts of text are to LLMs, in some ways like vision is to us. Not seeing tokens, but seeing the "shapes" between them. Like we don't parse pixels but see the whole picture at once.

They triangulate efficiently on the meaning from all the text, instead of rolling it through a lossy feedback system.

It is why they are so good at processing ambiguity. They can combine ambiguity from any parts of the text, near equally well, even on long form text.

Just like we can instantly triangulate the meaning out of barely lit photographs, by correlating every little shadow or bit of texture, regardless of where the clues are in the image.