Knowledge
Blog posts, articles, videos, and essays that provide a dense chunk of information.
- History of Philosophy
- List of Deeptech Companies
- List of Things Startups Did That Didn’t Scale
- Starter Guide to SF for Founders
- The Transformer Model, Explained
- Will We Ever Get Fusion Power?
- A history of Nvidia’s Multiprocessors
- The 1517 Anti-Pitch Playbook
- Fifty Years Progress Map
- What You Should Know about Venture Capital - Google Slides
- How does Computer Memory Work? - YouTube
- The Investors’ Guide to the DOE
- The Founder’s Guide to the DOE
- Founder’s Handbook Notion Page
- This Is the Calculus They Won’t Teach You - YouTube
- GPU Glossary
- Living Carbon: Photosynthesis-Enhanced Trees
- Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names
- Deep-dive on the transition to clean energy
- The Math Academy Way
- Levers for Biological Progress - Progress Forum
- Kludgeocracy in America | National Affairs
- Augmenting Long-term Memory
- How to Build the Future of AI in the United States | IFP
- Moon – Bartosz Ciechanowski
- Inadequate Equilibria: Where and How Civilizations Get Stuck
- Quantum computing for the determined – Michael Nielsen
- Effective action: Systems-engineering to systems-politics
- Terence Tao on how we measure the cosmos | Part 1 - YouTube
- The Illustrated AlphaFold | matmols
- ML for protein structure prediction: AlphaFold2 architecture - YouTube
- The things you’ll find in higher dimensions - YouTube
Evergreen
Blog posts, articles, videos, and essays that I refer/think about often.
33. Advice for the ambitious: Part 1, Part 2, Part 3
34. College advice for people who are exactly like me | benkuhn.net
35. Searching for outliers | benkuhn.net
36. Dr. R. W. Hamming’s Advice on Great Work and Paul Graham’s commentary
37. Rebuild the Arsenal and Palmer Luckey, American Vulcan
38. From Silicon to Slime | Are.na Editorial
39. A new breed of biotech | Alex’s blog
40. MOCs for learning AI/ML: 4-stage roadmap, ML Resources MOC, LLMs Visually Explained, Intro to Transformers
41. MOCS for learning other engineering: Pure Math Roadmap, EE Roadmap
42. Supplements | near.blog
43. Algorithms for Modern Hardware - Algorithmica
44. Double your productivity without more work or stress
45. My colleague Julius
46. School Is Not Enough
47. The 2025 AI Engineering Reading List - Latent Space
48. The Gentle Romance - by Richard Ngo - Asimov Press
Newsletters
Consistent, high-quality, information-dense news.
49. Construction Physics | Brian Potter | Substack
50. The Chip Letter | Babbage | Substack
51. Wes Kao’s Newsletter | Substack
52. Not Boring | Packy McCormick | Substack
53. Materially Better | Tsung Xu | Substack
54. Asimov Press
55. Freethink
56. LessWrong
57. Coldtakes
58. Wait But Why
59. Our World in Data
60. Newsletter | Sequoia Capital
61. Abundance Institute
62. Range Widely | David Epstein
63. Palladium Magazine
64. Asterisk 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