
Andrej Karpathy has done more to make deep learning understandable than perhaps anyone alive. His Stanford CS231n course on convolutional neural networks became the entry point for a generation of AI practitioners. At OpenAI, he was a founding member and helped build early GPT models. At Tesla, he led the Autopilot vision team, overseeing one of the largest real-world neural network deployments. After returning briefly to OpenAI, Karpathy left to focus on AI education, producing detailed video explanations of how transformers, tokenizers, and language models work from scratch. His ability to take state-of-the-art research and make it legible to engineers and curious outsiders alike fills a role no one else occupies at his level of technical depth.
“Neural networks are not just another classifier, they represent the beginning of a fundamental shift in how we develop software. They are Software 2.0.”
Software 2.0 · 2017