Before it
Language models trained on curated corpora like Wikipedia and books.
The problem
Curated text is small; raw web crawl is enormous but mostly junk.
What it introduced
Use human curation as a quality signal: scrape only pages linked from Reddit posts above a karma threshold.
Why it matters
It introduced proxy-based quality filtering, the ancestor of every data pipeline from C4 to FineWeb.
What modern models inherit
The idea that data quality filtering is a first-class part of training.
What came next
C4, the Pile, RefinedWeb and FineWeb all refined the filtering problem.