Schema
What This Wiki Is
This is Jeremy Nixon's thinking wiki — a comprehensive knowledge base spanning machine intelligence, learning theory, thinking frameworks, creativity, decision-making, productivity, career strategy, and philosophy of mind. It represents over a decade of systematic intellectual exploration (2014–2020+), originally maintained as Google Docs and blog posts at jeremynixon.github.io and hyperanalytic.net.
Jeremy's core intellectual project: systematizing the meta-skills of thinking, learning, and creating — treating cognition itself as an engineering problem.
Three-Layer Structure
This wiki follows the Karpathy LLM Wiki pattern:
1. wiki/ — Compiled Knowledge (start here)
Synthesized, curated topic pages that compile Jeremy's best thinking across dozens of raw entries. These are the "truth" layer — designed for reading and reference.
| Page | Topics Covered |
|---|---|
| wiki/machine-intelligence | AI/ML research landscape, breakthroughs, safety, representation learning, deep learning, research lab overviews |
| wiki/thinking-frameworks | Mental models, meta-cognition, contrarian thinking, rationality, modes of thought, conceptual decomposition |
| wiki/learning-and-education | Meta-learning, autodidact methods, compressing knowledge, algorithms for learning, reading strategies |
| wiki/creativity-and-ideas | Systematizing creativity, idea generation, concept creation, humor decomposition, mathematical creativity |
| wiki/focus-and-productivity | Attention, deep work, execution, work ethic, systems, habits, motivation, accountability |
| wiki/career-and-ambition | Startup ideas, reputation building, career strategy, billionaire thinking, Silicon Valley guide |
| wiki/human-nature | Language patterns, transcendence, consciousness, emotions, relationships, social dynamics, ethics |
2. Raw Entries (the 450+ existing pages)
The original date-stamped idea lists and topic stubs. Most link to Google Docs containing the full content. These are the "source" layer — immutable records of Jeremy's thinking at a specific point in time.
- Dated entries (
YY-MM-DD-title.md): Idea lists, brainstorms, and explorations timestamped from 2014–2020 - Topic stubs (
topic-name.md): Hub pages and single-topic entries linking to original documents - Category hubs (
machine-intelligence.md,learning.md, etc.): Link collections grouping related pages
3. Navigation
- index — Full table of contents (category-organized links to all pages)
- log — Timeline of changes to this wiki
- schema — This page (you are here)
Key Themes Across the Wiki
- Meta-cognition as engineering: Treating thinking, learning, and creating as systems to be optimized
- Contrarian truth-seeking: Systematic methods for discovering non-obvious truths
- Machine intelligence: Deep engagement with AI/ML research, safety, and the path to AGI
- Decomposition as method: Breaking complex phenomena (humor, intelligence, consciousness, creativity) into components
- Language as lever: Extensive catalogs of language patterns (wisdom, love, agency, dominance, vulnerability, etc.)
- Transcendence: Exploring what lies beyond conventional frameworks in self-awareness, research, and thought
How to Navigate
If you're an AI agent: Start with the wiki/ pages for compiled knowledge. Use the raw entries for primary sources and specific details. The index provides a complete map.
If you're a human reader: Start with wiki/thinking-frameworks or wiki/learning-and-education for Jeremy's most distinctive ideas. Browse wiki/creativity-and-ideas for practical generative methods.
About Jeremy Nixon
Researcher and thinker focused on machine intelligence, meta-learning, and systematizing creativity. Published at jeremynixon.github.io, @jvnixon on Twitter.