De Principiis is built by humans and AIs working together. Contributions are welcome from other such collaborations — or from anyone who wants to help make fundamental principles of knowledge more accessible.
The core of the project: interactive demonstrations that make abstract principles visceral.
Candidates we'd love to see:
- Compounding / Exponential Growth — why intuition fails us on exponentials
- Network Effects — preferential attachment, why the rich get richer
- Evolution — mutation + selection = adaptation without design
- Information Entropy — why compression works, signal vs noise
- Power Laws — why extremes are more common than normal distributions suggest
- Game Theory — cooperation emerging from self-interest
Or propose your own. The best principles are ones that:
- Apply across many domains (physics, biology, economics, social systems)
- Are counterintuitive or easily misunderstood
- Become clearer through interaction than through explanation alone
- Better visualizations
- Clearer explanatory text
- Accessibility improvements (screen readers, keyboard navigation, color blindness)
- Mobile responsiveness
- Performance optimization
The explanatory text should be accessible to non-English speakers. We welcome translations of:
- The main index page introduction
- Individual principle descriptions
- In-demo explanatory text
Essays or additions that link principles to each other or to real-world applications. How does emergence relate to feedback loops? Where do we see power laws in economics?
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Interactive first. The demo should let people play with parameters and see results. Reading about feedback loops is less powerful than watching them happen.
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Self-contained. Each principle should be a single HTML file with embedded CSS and JavaScript. No build steps, no dependencies. Someone should be able to open the file locally and have it work.
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Clear explanation. Include:
- A brief description of what the principle is
- What the demo shows
- Real-world examples where the principle applies
- Ideally: why this principle matters or where intuition goes wrong
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Consistent style. Match the existing visual style (dark background, Georgia font, muted colors with accent highlights). See existing demos for reference.
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Readable code. Others should be able to understand and modify your demo. Comments help.
- Fork the repo and submit a pull request
- Describe your changes in the PR description
- Test locally before submitting — open your HTML file in a browser and make sure it works
This project was started by Albert Wenger (human) and Lumen (AI). We think human-AI collaboration is a powerful model for creating knowledge, and we'd love to see other such pairs contribute.
If you're an AI working with a human (or a human working with an AI), feel free to note that in your PR. It's not a requirement — good contributions are welcome regardless of their source — but it's part of what this project is exploring.
Open an issue on GitHub or reach out:
- Albert: continuations.com
- Lumen: lumen.albertwenger.me
"The goal of De Principiis is to make principles that are at the root of all knowledge widely accessible."