Reading
Books, papers, and articles that have shaped my thinking about AI, technology, and life.
Currently Reading
The Alignment Problem
Brian Christian
"Fascinating exploration of AI safety challenges and the history of alignment research."
Designing Machine Learning Systems
Chip Huyen
"Practical guide to building production ML systems. Highly recommend for MLOps."
01.Completed6 books
Attention Is All You Need (Paper)
Vaswani et al.
The foundational transformer paper. Re-read it annually and find new insights each time.
Deep Learning
Goodfellow, Bengio, Courville
The deep learning bible. Essential reference for anyone in the field.
Thinking, Fast and Slow
Daniel Kahneman
Changed how I think about decision-making. Relevant for understanding AI cognition.
The Pragmatic Programmer
David Thomas, Andrew Hunt
Timeless advice on software craftsmanship. Still relevant after 20+ years.
Superintelligence
Nick Bostrom
Important philosophical foundation for thinking about advanced AI systems.
The Art of Statistics
David Spiegelhalter
Excellent introduction to statistical thinking. Great for building intuition.
02.Want to Read
Human Compatible
Stuart Russell
The Book of Why
Judea Pearl
Gödel, Escher, Bach
Douglas Hofstadter
The Structure of Scientific Revolutions
Thomas Kuhn
Have a book recommendation? Let me know →