Knowledge
Blog posts, articles, videos, and essays that provide a dense chunk of information.
3. History of Philosophy
4. List of Deeptech Companies
5. List of Things Startups Did That Didn’t Scale
6. Starter Guide to SF for Founders
7. The Transformer Model, Explained
8. Will We Ever Get Fusion Power?
9. A history of Nvidia’s Multiprocessors
10. The 1517 Anti-Pitch Playbook
12. Fifty Years Progress Map
13. What You Should Know about Venture Capital - Google Slides
15. How does Computer Memory Work? - YouTube
16. The Investors’ Guide to the DOE
17. The Founder’s Guide to the DOE
18. Founder’s Handbook Notion Page
19. This Is the Calculus They Won’t Teach You - YouTube
20. GPU Glossary
21. Living Carbon: Photosynthesis-Enhanced Trees
22. Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names
23. Deep-dive on the transition to clean energy
24. The Math Academy Way
25. Levers for Biological Progress - Progress Forum
26. Kludgeocracy in America | National Affairs
27. Augmenting Long-term Memory
28. How to Build the Future of AI in the United States | IFP
29. Moon – Bartosz Ciechanowski
Evergreen
Blog posts, articles, videos, and essays that I refer to often.
- Advice for the ambitious: Part 1, Part 2, Part 3
- College advice for people who are exactly like me | benkuhn.net
- Searching for outliers | benkuhn.net
- Dr. R. W. Hamming’s Advice on Great Work
- Rebuild the Arsenal and Palmer Luckey, American Vulcan
- From Silicon to Slime | Are.na Editorial
- A new breed of biotech | Alex’s blog
- MOCs for AI/LLMs/ML: 4-stage roadmap, ML Resources MOC, LLMs Visually Explained, Intro to Transformers
- Supplements | near.blog
- Learning Pure Math Roadmap
- Algorithms for Modern Hardware - Algorithmica
- Open-source Electrical Engineering Curriculum
- Richard Hamming: You and Your Research
- Double your productivity without more work or stress
- My colleague Julius
- School Is Not Enough
- The 2025 AI Engineering Reading List - Latent Space
Newsletters
Consistent, high-quality, information-dense news.
- Construction Physics | Brian Potter | Substack
- The Chip Letter | Babbage | Substack
- Wes Kao’s Newsletter | Substack
- Not Boring | Packy McCormick | Substack
- Materially Better | Tsung Xu | Substack
- NLP Newsletter | elvis | Substack
- Asimov Press
- Freethink
- LessWrong
- Coldtakes
- Wait But Why
- Our World in Data
- Newsletter | Sequoia Capital
- Abundance Institute
- Range Widely | David Epstein
- Palladium Magazine
Courses
Leadership
- “Are You Destined to Deal?” With Goldman Sachs MD Jim Donovan - YouTube
- Leadership Lab: Writing Training - YouTube
- Personality 101 - YouTube
Mathematics and Physics
- Matter and Energy - YouTube
- Stanford’s Introduction to Probability - YouTube
- MIT OCW Probability + MIT OCW Problem Sets
- Matrix Methods + MIT 18.065 Videos
- Napkin Mathematics
- StatQuest with Josh Starmer - YouTube
- Gilbert Strang lectures on Linear Algebra (MIT) - YouTube
- Information Theory, Pattern Recognition, and Neural Networks - YouTube
- 6.041 Probabilistic Systems Analysis and Applied Probability - YouTube
- Resources | Poker Theory and Analytics | Sloan School of Management | MIT OpenCourseWare
- The Complete Mathematics of Neural Networks and Deep Learning - YouTube
- CIS5150
Programming
- Intuitive Mathematics of Machine Learning (Paid textbook for $70)
- Stanford CS229: Machine Learning
- Alpha for Learning GPUs
- Introduction to Probability for Computing
- Understanding Deep Learning
- CS 189/289A: Introduction to Machine Learning
Misc