The $100 NanoChat: Karpathy’s Lean LLM Pipeline

We dive into Andrej Karpathy’s NanoChat project—a compact, hackable end-to-end LLM pipeline built on a tight budget. From 560M-parameter pretraining to supervised fine-tuning, tool use, and a sub-$100 cloud run, we unpack the philosophy of cognitive accessibility, the lean 8,300-line codebase, and what this teaches about readability, accessibility, and scalable AI on a budget.Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.Sponsored by Embersilk LLC