https://github.com/highb/learn
https://github.com/highb/learn
Last synced: 4 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/highb/learn
- Owner: highb
- Created: 2025-05-01T22:37:53.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2026-02-25T17:45:23.000Z (4 months ago)
- Last Synced: 2026-02-25T20:45:45.296Z (4 months ago)
- Language: Ruby
- Homepage: http://learn.bmh.io/
- Size: 79.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Learning Index
A public curriculum and knowledge base for technical topics I'm exploring. This is not a tutorial site or definitive reference - it's my personal learning journey made visible.
## Topics
- Formal methods & verification
- Distributed systems theory
- AI/ML (LLMs, multi-agent systems, alignment)
- Advanced systems programming
- Type theory & programming language design
- Game design & programming
- Explanatory Writing
- Infrastructure & platform engineering
- Cognitive science & learning theory
**Not a blog.** Not polished articles. These are working notes, progressively refined as I learn.
**Not comprehensive.** I'm not trying to cover everything - just what I need or what fascinates me.
**Not authoritative.** I'm learning this stuff, not teaching it. Expect errors, gaps, and evolving understanding.
## Navigation
| File | Purpose |
|------|---------|
| [index.md](index.md) | All topics, organized by domain |
| [now.md](now.md) | Current focus (1-3 active topics) |
| [learning-log.md](learning-log.md) | Chronological record of activity |
| [topics/](topics/) | Deep dives into specific areas |
| [meta/how-to-use.md](meta/how-to-use.md) | Reading guide & structure explanation |
| [meta/methodology.md](meta/methodology.md) | How I approach learning |
## Why Public?
Publishing creates accountability. If you spot errors or have suggestions, open an issue or PR.
## License
Content: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) | Code examples: MIT
## About Me
[[Brandon High]] - Staff Software Engineer with 15+ years in distributed systems, infrastructure, and DevOps. I studied neuroscience and machine learning in college, and in several online courses since then. Exploring AI/ML systems, formal methods, and multi-agent architectures.
## Inspiration
This approach was inspired by [Andrej Karpathy's conversation with Dwarkesh Patel](https://www.youtube.com/watch?v=lXUZvyajciY) about learning, AI capabilities, and the future of education.