LLM Wiki: Karpathy's Idea for Building a Personal Knowledge Base

🧠 What if instead of searching your notes, you compiled them intelligently?

Andrej Karpathy (ex-Tesla AI Director, OpenAI co-founder) proposed in April 2026 using an LLM to build a personal wiki in real time. The idea went viral.

📚 The problem with traditional RAG:

• Processes documents at query time → starts from scratch every time
• Doesn’t accumulate knowledge between queries
• Fails to automatically connect ideas from different moments in time

🔄 The LLM Wiki solution:

• Processes documents at ingestion time, not at query time
• The LLM reads, understands and updates related pages
• Detects contradictions between sources
• Generates a navigable index of your knowledge

🛠️ 6-step workflow:

1. Gather articles, books, transcripts
2. Classify by type before ingesting
3. AI writes structured wiki pages
4. Create a central index as table of contents
5. Save your questions as query-result pages
6. Run “lint” passes to detect contradictions and orphan pages

💡 Suggested tools: Obsidian as the wiki IDE, the Dataview plugin for SQL-like queries, and the Web Clipper to capture articles.

💡 Explanation in a nutshell

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Karpathy’s LLM Wiki is a system where an LLM doesn’t answer questions with raw documents — instead it digests, integrates and converts them into permanent, interlinked wiki pages, creating a personal knowledge base that grows and improves over time.

More information at the link 👇

LLM Wiki Revolution: How Andrej Karpathy's Idea is Changing AI

A deep dive into Andrej Karpathy's LLM Wiki concept. Learn how to build a personal and self-organizing knowledge base.

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