Learning Objectives
- Describe current AI capability trends and their real-world impacts
- Understand arguments for acceleration versus slowdown trajectories
- Comprehend scaling drivers: compute, data, algorithmic efficiency, and inference-time scaling
Core Readings
Recommended
Further Reading
Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer ProductivityMETR · 2025
Future ML Systems Will Be Qualitatively DifferentJacob Steinhardt · 2022
Neural Scaling Laws and GPT-3Kaplan · 2020
Training Compute-Optimal Large Language ModelsHoffmann et al. (DeepMind) · 2022
Biological Anchors: A Trick That Might Or Might Not WorkScott Alexander · 2022
Explaining Neural Scaling LawsBahri et al. · 2024
The Hanson-Yudkowsky AI-Foom DebateHanson & Yudkowsky · 2008