notes readings

some links I liked

  • What Every Computer Scientist Should Know About Floating-Point Arithmetic
  • The Case Against Work-Life Balance
  • The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!)
  • The Future of Carbon Dioxide Direct
  • Techno-Optimistic Media
  • BRRR: An Introduction
  • The Bitter Lesson
  • Scaling Engineering Teams: Lessons from Google, Facebook and Netflix
  • A Guide to Measuring Engineering Team Performance
  • Atoms Are Cheap, Process Is Pricey
  • You Are Probably Not Dumb
  • When Tailwinds Vanish
  • A Personal Map of ML Hardware Trade-offs
  • The China Tech Canon
  • writes.html
  • Vertical Integrators
  • YC Interview Questions
  • An Opinionated Guide to ML Research
  • Intro to Linear Algebra
  • Checkpointing
  • Transformer Inference Arithmetic
  • Data Movement Is All You Need: A Case Study on Optimizing Transformers
  • Transformer FLOPs
  • FLOPs in LLM Training: The Ultimate Guide
  • Understanding FLOPs, MFU, and Computational Efficiency in LLM Training: From Dense Transformers to MoE Architectures
  • Cognitive Hygiene: Why You Need to Make Thinking Hard Again
  • RLing Qwen to Paint with Code
  • A (Long) Peek into Reinforcement Learning
  • The 37 Implementation Details of Proximal Policy Optimization
  • RL is Everything, Everywhere, All at Once
  • How the Backpropagation Algorithm Works
  • Employee Equity
  • Neural Networks
  • How Neural Networks Work
  • Pmarchive
  • Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI — Lex Fridman Podcast #333
  • Elon Musk: SpaceX, Mars, Tesla Autopilot, Self-Driving, Robotics, and AI — Lex Fridman Podcast #252
  • Yes, You Should Understand Backprop
  • How Deep Neural Networks Work
  • AI Language Models & Transformers
  • How Convolutional Neural Networks Work
  • Why You Shouldn’t Join Y Combinator
  • How to Do Great Work
  • The Architecture Behind a One-Person Tech Startup
  • Vertical Integrators, Part III
  • How to Achieve More While Studying Less — Obsidian & Conceptual Notes
  • The Boring Technology Behind a One-Person Business
  • An Intuitive Guide to Convolution
  • Default Alive or Default Dead?
  • How to Write Complex Software
  • Hitting a 7-Figure ARR Within Two Years by Focusing on Quality
  • Strategy Letter V
  • Lessons from Peter Thiel
  • Amp It Up!
  • How to Hire the Best People You’ve Ever Worked With
  • The Goldilocks Zone
  • In Defense of Strategy
  • Field Notes from Shipping Real Code with Claude
  • Lehman’s Laws of Software Evolution
  • I Will Fucking Piledrive You If You Mention AI Again
github x kaggle email
dhruv m © 2026