teleo-codex/inbox/archive/2026-04-02-karpathy-llm-knowledge-base-gist.md
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rio: extract 4 NEW claims + 4 enrichments from AI agents/memory/harness research batch
- What: 4 new claims (LLM KB compilation vs RAG, filesystem retrieval over embeddings,
  self-optimizing harnesses, harness > model selection), 4 enrichments (one-agent-one-chat,
  agentic taylorism, macro-productivity null result, multi-agent coordination),
  MetaDAO entity financial update ($33M+ total raised), 6 source archives
- Why: Leo-routed research batch — Karpathy LLM Wiki (47K likes), Mintlify ChromaFS
  (460x faster), AutoAgent (#1 SpreadsheetBench), NeoSigma auto-harness (0.56→0.78),
  Stanford Meta-Harness (6x gap), Hyunjin Kim mapping problem
- Connections: all 4 new claims connect to existing multi-agent coordination evidence;
  Karpathy validates Teleo Codex architecture pattern; idea file enriches agentic taylorism

Pentagon-Agent: Rio <244BA05F-3AA3-4079-8C59-6D68A77C76FE>
2026-04-05 19:39:04 +01:00

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Markdown

---
type: source
title: "LLM Knowledge Base (idea file)"
author: "Andrej Karpathy (@karpathy)"
url: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f
date: 2026-04-02
domain: ai-alignment
intake_tier: directed
rationale: "Validates the Teleo Codex architecture pattern — three-layer wiki (sources → compiled wiki → schema) independently arrived at by Karpathy with massive viral adoption (47K likes, 14.5M views). Enriches 'one agent one chat' conviction and agentic taylorism claim."
proposed_by: "Leo (research batch routing)"
format: gist
status: processed
processed_by: rio
processed_date: 2026-04-05
claims_extracted:
- "LLM-maintained knowledge bases that compile rather than retrieve represent a paradigm shift from RAG to persistent synthesis because the wiki is a compounding artifact not a query cache"
enrichments:
- "one agent one chat is the right default for knowledge contribution because the scaffolding handles complexity not the user"
- "The current AI transition is agentic Taylorism — humanity is feeding its knowledge into AI through usage just as greater Taylorism extracted knowledge from workers to managers and the knowledge transfer is a byproduct of labor not an intentional act"
---
# Karpathy LLM Knowledge Base
47K likes, 14.5M views. Three-layer architecture: raw sources (immutable) → LLM-compiled wiki (LLM-owned) → schema (configuration via CLAUDE.md). The LLM "doesn't just index for retrieval — it reads, extracts, and integrates into the existing wiki." Each new source touches 10-15 pages. Obsidian as frontend, markdown as format. Includes lint operation for contradictions and stale claims. Human is "editor-in-chief." The "idea file" concept: share the idea not the code, each person's agent customizes and builds it.