Blog

2026-09-10 The world belongs to hackers 2025-02-27 The Power of Rejection in Science 2025-02-08 Weekends 2025-01-25 Investing long term 2025-01-04 The Abundance of Open Source: a gift to humanity 2024-12-02 How To Be Successful - Sam Altman 2024-04-09 Music, Content, and Books: Choosing who you are 2023-12-28 Prompt Engineering Lessons from OpenAI 2023-07-08 Why Hardware is the King of Software 2020-11-02 Process to Greatness

Favorite Reads

• The Scaling Era: An Oral History of AI, 2019-2025 A comprehensive oral history capturing the transformative AI revolution and scaling developments
• Artificial Intelligence: A Modern Approach The definitive textbook on AI principles, algorithms, and applications by Russell and Norvig
• Deep Learning Comprehensive guide to deep learning by Goodfellow, Bengio, and Courville
• Attention is All You Need Papers and Beyond Understanding transformer architectures and their impact on modern LLMs
• Superintelligence: Paths, Dangers, Strategies Nick Bostrom's exploration of the risks and implications of artificial superintelligence
• The Alignment Problem: Machine Learning and Human Values Brian Christian's examination of AI safety and the challenge of aligning AI systems with human values
• Transformers for Natural Language Processing Practical guide to building NLP applications with transformer models

Favorite Videos

• Neural Networks: Zero to Hero Andrej Karpathy's comprehensive video series building neural networks from scratch
• Attention is All You Need Detailed explanation of the transformer architecture that powers modern LLMs
• Intro to Large Language Models Andrej Karpathy's introduction to understanding how LLMs work
• Neural Networks by 3Blue1Brown Beautiful visual explanations of neural networks and deep learning fundamentals
• CS224N: NLP with Deep Learning Stanford's advanced course on natural language processing with deep learning
• CS231N: Convolutional Neural Networks Stanford's course on CNNs for visual recognition by Fei-Fei Li and Justin Johnson
• Reinforcement Learning by Karpathy Deep dive into reinforcement learning principles and implementation
• The State of AI in 2024 Overview of recent advances and trends in artificial intelligence
• Statistical Learning Stanford's course on statistical learning methods taught by Tibshirani and Hastie