How people learn. How AI learns. What they share.
A living knowledge base — part notebook, part showcase, part dataset. Everything here is written once as plain text, rendered for you, and exposed for machines to read.
🤖 For AI: the whole corpus is one fetch away →
pedagogy.dev/llms-full.txt
How People Learn
2 notesCognitive science of human learning — memory, attention, transfer.
How AI Learns
2 notesThe mechanics of machine learning — gradients, loss, representation.
Patterns & Formulas
3 notesThe structures and equations that show up in both kinds of learning.
- The Magic Formula Aaron's thesis on what actually makes a product win — and why no single ingredient is enough on its own.
- The Forgetting Curve Ebbinghaus's exponential decay of memory over time — and the formula that describes it.
- Spaced Repetition Meets Curriculum Learning A side-by-side look at how humans and machines both benefit from the order and timing of examples.