Bookshelf
Reading List
Books and papers that shaped how I think about AI, engineering, and work. I try to read broadly - the best ideas often come from unexpected places.
Books
AI Safety
Psychology
Engineering
Cognitive Science
Philosophy
Science
Fiction
reading
finished
Papers
Attention Is All You Need (opens in new tab)
Vaswani et al. | 2017
the one that started it all. still re-read sections regularly.
Constitutional AI (opens in new tab)
Anthropic | 2022
what i work on every day. the idea of using AI to supervise AI is elegant.
Scaling Laws for Neural Language Models (opens in new tab)
Kaplan et al. | 2020
sparked the scaling hypothesis. foundational for understanding capabilities.
Language Models are Few-Shot Learners (opens in new tab)
Brown et al. | 2020
GPT-3 paper. showed what scale could do for generalization.
Training Compute-Optimal Large Language Models (opens in new tab)
Hoffmann et al. | 2022
chinchilla paper. changed how we think about compute allocation.