Week 1 — Timelines & Threat Models
This week builds a grounded picture of where frontier AI capabilities are headed and how quickly they may improve. We will review evidence on scaling drivers—compute, data, algorithmic efficiency, and inference-time scaling—alongside time-horizon forecasting.
Open the Week 1 curriculum in Google Docs ↗
Core resources
Recommended resources
- What will AI look like in 2030? (Epoch AI, 2025) ↗
- When AI builds itself (Anthropic, 2026) ↗
- Inference Scaling and the Log-x Chart (Toby Ord, 2025) ↗
- From AGI to Superintelligence: the Intelligence Explosion (Leopold Aschenbrenner, 2024) ↗
- Future ML Systems will be Qualitatively Different (Steinhardt, 2022) ↗