According to Andrej Karpathy (@karpathy), leveraging large language models (LLMs) to read, summarize, and personalize content is becoming a leading use case in the AI industry. Karpathy details a structured workflow: first manually reading content, then using LLMs to explain or summarize, followed by question-and-answer sessions for deeper understanding. This iterative approach results in superior comprehension compared to traditional methods (source: Twitter/@karpathy, Nov 18, 2025). He also highlights a significant trend for content creators: the shift from writing primarily for human audiences to optimizing for LLM interpretation. Once an LLM comprehends the material, it can personalize, target, and deliver information to end users more effectively. This development opens up new business opportunities for AI-driven content platforms, personalized learning systems, and automated knowledge delivery services.