Before it
Reasoning gains from scale looked modest and uneven.
The problem
Would more scale actually help on tasks requiring multi-step inference?
What it introduced
540B dense parameters trained across TPU pods, reaching breakthrough results on reasoning benchmarks with chain-of-thought prompting.
Why it matters
It supplied the strongest evidence for the scale-unlocks-reasoning story, and the discontinuities that fed the emergence debate.
What modern models inherit
The pairing of large scale with chain-of-thought as the reasoning recipe of 2022.
What came next
Flan-PaLM instruction-tuned it; Gemini succeeded it.