These are the things that I am interested in learning.

• Nested Learning
• Jeff Dean on performance
• Non zero sum games

courses and competitions

ml

• Karpathy Zero to Hero
• RL on wordle
• RL on 2048
• nanochat
• RL in Huggingface

cuda

• leetgpu
• tensara
• [programming massively parallel processors]

cuda misc

• How to Optimize a CUDA Matmul Kernel for cuBLAS-like Performance
• Outperforming cuBLAS on H100: a Worklog
• Defeating Nondeterminism in LLM Inference:
• Making Deep Learning go Brrrr From First Principles:
• Transformer Inference Arithmetic:
• Domain specific architectures for AI inference
• A postmortem of three recent issues:
• [How To Scale Your Model:] (http://jax-ml.github.io/scaling-book/ )
• [The Ultra-Scale Playbook:] (http://huggingface.co/spaces/nanotron/ultrascale-playbook )
• The Case for Co-Designing Model Architectures with Hardware:

shaders

• The book of Shaders

others

• Forking chrome to render in the terminal
• Wordle-RK Training Language Model to play wordle
• Build your own c compiler
• Beej’s guide to networking
• [Mamba the easy way](https://jackcook.com/2024/02/23/ma mba.html)
• Build your own redis
• Distributed system from maelstorm
• Gossip glomers, fly.io
• Advanced compilers: self-guided online course (cornell)
• pintos: a simple operating system
• let’s write a browser
• write your own git
• Explained from first principles
• Programmer’s introduction to Mathematics
• How does a database work, database internals
• makefiles
• Embedded system
• Ray Tracing
• Nand2Tetris
• Stanford crypto
  • associated book
• GDPR ✅

books to read

• How to Scale Your Model
• Harry Potter and the Methods of Rationality
  • https://hpmor.com/
• Algorithms for decision making
  • https://algorithmsbook.com/files/dm.pdf
• Linux insides
  • https://0xax.gitbooks.io/linux-insides/content/
• Google SRE
  • https://sre.google/books/
• compiler books
  • https://www3.nd.edu/~dthain/compilerbook/compilerbook.pdf
• Git from the ground up
• post quantum cryptography

blogs to read

• Larry Sanger on baby reading
• How to win friends and influence people unabridged
• Understanding Apache Fluss
• Peter Thiel’s CS183
• interview with shang Yi Chiang, R&D head at TSMC
• how to do Distributed locking
• There’s no getting around you’re building a distributed system
• Getting real about distributed system reliability
• Coding for SSDs
• http crash course nobody asked for
• lessons from running codepen
• Everything you ever wanted to know about terminals
• Rqlite design
• Taxonomy of Moats
• Leverage Points
• All Markets Are Not Created Equal: 10 Factors To Consider When Evaluating Digital Marketplaces
• What is amazon
• Bill gates interview 1992 PDC 1992
• https://www.destroyallsoftware.com/talks/the-birth-and-death-of-javascript
• Adverserial collaboration - Daniel Kahneman

to build

• RL environment for agents
• LMDB rust

privacy

• Science, Privacy, and Freedom: Issues and Proposals for the 1970’s. Part I–The Current Impact of Surveillance on Privacy, Alan F. Westin Columbia Law Review, Vol. 66, No. 6 (Jun., 1966), pp. 1003-1050 (48 pages) https://www.jstor.org/stable/1120997

games:

https://flexboxfroggy.com/

projects to go through

• etcd
• cockroachDB

courses and others

dolby webcast

https://wsw.com/webcast/blair66/dlb/1747980 ✅

browsers

• https://browser.engineering/