# Andrej Karpathy just shared a better way to use LLMs (and it got super viral)...
Canonical: https://social-archive.org/nbluemer/StcNFPWzwF
Original URL: https://www.linkedin.com/posts/nir-diamant-ai_andrej-karpathy-just-shared-a-better-way-share-7446309327142957056-ANv2/
Author: Nir Diamant
Platform: linkedin
## Content
Andrej Karpathy just shared a better way to use LLMs (and it got super viral). let me summarize that for you, with a simplified algorithm of what to do: He suggests to use llms as a knowledge system. The workflow is simple: - Collect raw sources Put articles, papers, repos, datasets, and images into a `raw/` folder. - Ask the LLM to read each source Extract the key facts, entities, concepts, and contradictions in short notes. - Write or update wiki pages Turn those notes into markdown pages for the source, related entities, and related concepts. - Update the index Keep `index.md` short and searchable so the LLM can quickly find the right pages. - Append the log Add a brief entry to `log.md` with what changed and why. - Run lint passes Ask the LLM to find stale claims, missing links, contradictions, and gaps. - Query the wiki Let the LLM search, read, and synthesize answers from the relevant pages. - Keep it in git Version everything so the knowledge base can evolve safely over time. repost to let others know!