On April 2, 2026, Andrej Karpathy posted something that got 14 million views in a few days. Not a model release. Not a benchmark. Just a description of how he's been organizing his research. The idea: use LLMs to build a personal knowledge base, a living, self-maintaining wiki made of markdown files. No vector databases. No complex RAG pipelines. Just a raw/ folder, an LLM, and Obsidian. It sounds simple. The implications aren't. TL;DR Most people use LLMs as answer machines. Ask a question, get a reply, close the tab. Karpathy is doing something different. He dumps raw research material (papers, articles, repos) into a folder, then has an LLM compile all of it into a structured, interlinked wiki made of markdown files. The LLM writes and maintains the entire wiki, he rarely touches it manually. Once the wiki gets big enough (his is around 100 articles and 400,000 words), he can ask the LLM complex research questions against it and get answers that synthesize across everything ...