With variation, some systems converge and some diverge.

If they diverge, you get a rat's nest.

If they converge, you get a boring, over-saturated middle.

LLMs converge their output.

So now the middle of the distribution of output will be over-saturated.

That will push out the differentiation to the tails.

This was already happening before LLMs, due to the zero cost of content distribution.

But LLMs turbocharge it.