These are the things that I am interested in learning.

• Nested Learning — ~30–45 min -[x] Jeff Dean on performance — ~2–3 h
• Non zero sum games — ~10–15 h (whole site, ~40 short posts)

courses and competitions

ml (~85–145 h)

• Karpathy Zero to Hero — ~40–60 h coding along (~16 h watch-only)
• RL on wordle — ~1 h read; ~6–10 h to reproduce
• RL on 2048 — ~3–5 h (mostly training runs)
• nanochat — ~15–30 h (read code + run speedrun + tinker)
• RL in Huggingface — ~25–40 h (deep RL course, ~11 units)

cuda (~110–200 h)

• leetgpu — ~30–60 h (50+ problems)
• tensara — ~20–40 h (open-ended perf tuning)
• [programming massively parallel processors] — ~60–100 h (580 pp + exercises)

cuda misc (~35–55 h)

• How to Optimize a CUDA Matmul Kernel for cuBLAS-like Performance — ~2–3 h
• Outperforming cuBLAS on H100: a Worklog — ~1.5–2.5 h
• Defeating Nondeterminism in LLM Inference: — ~1–1.5 h
• Making Deep Learning go Brrrr From First Principles: — ~1–1.5 h
• Transformer Inference Arithmetic: — ~2–3 h (with the end exercises)
• Domain specific architectures for AI inference — ~1.5–2.5 h
• A postmortem of three recent issues: — ~45 min
• [How To Scale Your Model:] (http://jax-ml.github.io/scaling-book/ ) — ~7–10 h read; ~25–40 h with exercises
• [The Ultra-Scale Playbook:] (http://huggingface.co/spaces/nanotron/ultrascale-playbook ) — ~15–25 h
• The Case for Co-Designing Model Architectures with Hardware: — ~1.5–2.5 h

shaders (~16–32 h)

• The book of Shaders — ~10–20 h (with exercises)
• making software — ~6–12 h (early access, still growing)

others (~800–1,200 h)

• Forking chrome to render in the terminal — ~30–60 min (read)
• Wordle-RK Training Language Model to play wordle — see ml above
• Build your own c compiler — ~120–200 h (792 pp, full implementation)
• Beej’s guide to networking — ~8–15 h
• Mamba the easy way — ~30–60 min
• Build your own redis — ~40–60 h
• Distributed system from maelstorm — ~30–50 h
• Gossip glomers, fly.io — ~20–40 h
• Advanced compilers: self-guided online course (cornell) — ~60–100 h
• pintos: a simple operating system — ~150–250 h (full-semester course, built for teams)
• let’s write a browser — ~3–6 h
• write your own git — ~10–15 h
• Explained from first principles — ~25–40 h (3 articles, ~250k words)
• Programmer’s introduction to Mathematics — ~60–100 h (with exercises)
• How does a database work, database internals — ~10–20 h (unfinished tutorial)
• makefiles — ~2–4 h
• Embedded system — ~60–100 h (labs assume TM4C board)
• Ray Tracing — ~50–80 h (all 3 books)
• Nand2Tetris — ~100–150 h (both parts)
• Stanford crypto — ~50–80 h
  • associated book — ~70–100 h on its own (818 pp)
• GDPR ✅

books to read (~140–200 h)

• How to Scale Your Model — ~7–10 h
• Harry Potter and the Methods of Rationality — ~35–45 h (~660k words)
  • https://hpmor.com/
• Algorithms for decision making — ~40–60 h (~700 pp, dense)
  • https://algorithmsbook.com/files/dm.pdf
• Linux insides — ~22–30 h (~69 chapters)
  • https://0xax.gitbooks.io/linux-insides/content/
• Google SRE — ~25–35 h (SRE book + workbook)
  • https://sre.google/books/
• compiler books — ~8–12 h (~250 pp)
  • https://www3.nd.edu/~dthain/compilerbook/compilerbook.pdf
• Git from the ground up — ~1.5–2.5 h
• post quantum cryptography — ~3–4 h (72 pp)

blogs to read (~25–30 h)

• Larry Sanger on baby reading — ~2.5–3 h (links a 140-page essay)
• How to win friends and influence people unabridged — ~4.5–6 h (it’s the full book)
• Understanding Apache Fluss — ~45 min
• Peter Thiel’s CS183 — ~6–8 h (19 essays)
• interview with shang Yi Chiang, R&D head at TSMC — ~1 h (49 pp transcript)
• how to do Distributed locking — ~20 min
• There’s no getting around you’re building a distributed system — ~25 min
• Getting real about distributed system reliability — ~15 min
• Coding for SSDs — ~2–3 h (6 parts)
• http crash course nobody asked for — ~1.5–2.5 h
• lessons from running codepen — ~1 h (58 min podcast)
• Everything you ever wanted to know about terminals — ~35 min
• Rqlite design — ~15 min (link 404s now; docs moved to rqlite.io)
• Taxonomy of Moats — ~30 min
• Leverage Points — ~40 min
• All Markets Are Not Created Equal: 10 Factors To Consider When Evaluating Digital Marketplaces — ~15 min
• What is amazon — ~1 h (~12k words)
• Bill gates interview 1992 PDC 1992 — ~1 h (57 min video)
• https://www.destroyallsoftware.com/talks/the-birth-and-death-of-javascript — ~30 min talk
• Adverserial collaboration - Daniel Kahneman — ~25–30 min

to build (~100–200 h)

• RL environment for agents — ~40–80 h
• LMDB rust — ~60–120 h

privacy (~3–5 h)

• 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 — ~3–5 h

games: (~30–60 min)

https://flexboxfroggy.com/ — ~30–60 min (24 levels)

projects to go through (~110–200 h)

• etcd — ~30–50 h (raft/mvcc/lease/watch, architecture-level)
• cockroachDB — ~80–150 h (architecture-level only; multi-million LOC)

courses and others

dolby webcast

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

browsers (~80–120 h)

• https://browser.engineering/ — ~80–120 h (16 chapters + exercises)