Karpathy proposes AI-managed knowledge base

Andrej Karpathy has outlined an innovative 'LLM Knowledge Bases' approach that bypasses traditional Retrieval-Augmented Generation (RAG) methods. Instead of complex vector databases, his system uses an AI itself to actively compile, maintain, and interlink Markdown files, creating a self-healing and human-readable knowledge repository. This method addresses the 'stateless' nature of AI development by building a persistent, evolving record of research and projects. The architecture involves data ingestion, AI-driven compilation into a structured wiki with backlinks, and continuous AI-powered 'linting' for consistency and new connections. This 'file-over-app' philosophy offers a blueprint for more auditable and manageable AI knowledge systems, with significant implications for enterprise data synthesis.