Elliot Arledge, a talented 20-year-old computer science student from Canada, shares his insights on building AI systems from scratch. He discusses his rapid learning strategies, balancing formal education with self-directed study, and the importance of sleep for productivity. The conversation highlights CUDA's role in GPU programming, its advantages over CPUs, and the evolution of language models. Elliot also addresses the implications of relying on AI in education and the necessary balance between coding skills and theoretical knowledge for future tech careers.