Before it
GPT-3 was the reference point, with limited public analysis of what scale does.
The problem
Which capabilities improve with scale, and which do not?
What it introduced
A 280B model evaluated across 152 tasks, showing gains concentrated in knowledge tasks and much weaker in reasoning.
Why it matters
It supplied the careful evaluation that scaling claims lacked, and the compute budget Chinchilla reanalysed.
What modern models inherit
The habit of broad, task-by-task evaluation of scale.
What came next
Chinchilla used the same budget to show Gopher was badly undertrained.