chore: sync vault to ~/cosmic-brain (Obsidian-registered path)

wiki/sources/Nate Herk LLM Wiki Transcript.md

@@ -0,0 +1,93 @@
+---
+type: source
+title: "Nate Herk LLM Wiki Transcript"
+source_type: transcript
+author: "Nate Herk"
+date_published: 2026-04-07
+url: "https://youtube.com/@nateherk"
+confidence: high
+key_claims:
+  - "LLM wiki makes knowledge compound like interest — nothing is re-derived on every query"
+  - "Hot cache (~500 words) enables cross-project context without crawling the full wiki"
+  - "One article can generate 15-25 wiki pages with full cross-references"
+  - "One user dropped token usage by 95% switching from inline context files to wiki"
+  - "Obsidian is the IDE, Claude is the programmer, the wiki is the codebase"
+  - "Index file is enough at small scale (~100 sources) — no RAG infrastructure needed"
+created: 2026-04-07
+updated: 2026-04-07
+tags:
+  - source
+  - llm-wiki
+  - obsidian
+  - karpathy
+status: mature
+related:
+  - "[[LLM Wiki Pattern]]"
+  - "[[Hot Cache]]"
+  - "[[Compounding Knowledge]]"
+  - "[[Andrej Karpathy]]"
+  - "[[index]]"
+sources:
+  - "[[.raw/nate-herk-llm-wiki-transcript.md]]"
+---
+
+# Nate Herk LLM Wiki Transcript
+
+Raw source: [[.raw/nate-herk-llm-wiki-transcript.md]]
+
+Nate Herk demonstrates the [[LLM Wiki Pattern]] in practice. He shows two live vaults: one for his YouTube transcript archive (36 videos) and one personal second brain. He breaks down Andrej Karpathy's original post and shows a 5-minute setup workflow.
+
+---
+
+## Key Takeaways
+
+**The core insight**: normal AI chats are ephemeral. The wiki makes knowledge compound. Every source ingested, every question answered, every analysis filed — all of it stays and grows richer over time.
+
+**The stack is simple**: Claude Code + Obsidian + a folder of markdown files. No vector databases, no embeddings, no infrastructure. Just files and Claude.
+
+**The hot cache**: a ~500-word file (`wiki/hot.md`) that captures recent context. In an executive assistant setup, this prevented having to crawl dozens of wiki pages at the start of each session. See [[Hot Cache]].
+
+**Cross-project referencing**: other Claude Code projects can read this vault by pointing at it in their CLAUDE.md. Nate's executive assistant reads from his herk-brain vault. Token usage dropped significantly compared to inline context files.
+
+**At scale**: the index file alone is sufficient for hundreds of pages. Vector RAG only becomes necessary at millions of documents.
+
+---
+
+## Obsidian as IDE
+
+Obsidian is just a markdown viewer with graph visualization. The graph view shows which pages are hubs (many connections) and which are orphans (none). Real-time — you can watch the wiki grow as Claude creates pages.
+
+The key Obsidian features used:
+- Graph view — visualize the knowledge structure
+- Backlinks — follow connections between pages
+- Dataview — query pages by frontmatter
+- Web Clipper — send articles directly to `.raw/` from any browser
+
+---
+
+## Workflow Demonstrated
+
+1. Install Obsidian, create a vault
+2. Paste Karpathy's LLM wiki idea into Claude Code
+3. Claude scaffolds the structure (raw/, wiki/, CLAUDE.md, index, log)
+4. Drop a source into `.raw/` using Web Clipper
+5. Tell Claude: "ingest this"
+6. Claude reads, creates 15-25 wiki pages, cross-references everything
+7. Query the wiki for insights
+
+The ingest for one article (AI 2027) took 10 minutes and created 23 pages: 1 source, 6 people, 5 organizations, 1 AI systems page, multiple concepts, plus an analysis.
+
+---
+
+## Entities Mentioned
+
+- [[Andrej Karpathy]] — originated the LLM wiki pattern
+- Nate Herk — demonstrated the pattern in this video
+
+---
+
+## Connections
+
+See [[LLM Wiki Pattern]] for the full architecture.
+See [[Compounding Knowledge]] for the core insight on why this works.
+See [[Hot Cache]] for the session context mechanism.