The Scaling Era: An Oral History of AI, 2019–2025 is a 2025 book by Dwarkesh Patel with Gavin Leech, published by Stripe Press. Its first chapter, "Scaling," collects firsthand accounts from researchers and leaders at frontier AI labs about how the scaling hypothesis became the dominant paradigm in AI development.
Summary
The chapter documents how the scaling hypothesis — the idea that making neural networks bigger, with more data and compute, would yield better intelligence — moved from a minority view to the dominant paradigm in AI development. It assembles firsthand accounts from researchers and leaders at frontier AI labs covering the 2019–2025 period.
Relationships
The scaling hypothesis documented in the chapter draws its intellectual foundation from Richard Sutton's essay The Bitter Lesson. The scaling paradigm described here drove the efficiency gains measured by Epoch AI, for which AI Software Progress provides historical context. The scaling era also serves as the empirical foundation for Dario Amodei's predictions about rapid AI progress in Compressed 21st Century. The chapter covers Dario Amodei's role in establishing scaling laws at OpenAI before he founded Anthropic.
Provenance
Dwarkesh Patel with Gavin Leech, Stripe Press, 2025. PDF converted to markdown with images on 2026-04-13.