Editor's Synopsis
Andrej Karpathy shares his evolving approach to using LLMs for building personal knowledge bases across various research topics. He notes that a significant portion of his recent token usage has shifted away from code manipulation and toward organizing and structuring knowledge.
This reflects a broader trend among AI researchers and engineers who are finding that large language models serve not just as coding assistants but as powerful tools for knowledge management and research synthesis. Karpathy's insight highlights how LLMs are increasingly becoming integral to intellectual workflows beyond software development.