The post discusses a technique where 10,000 PDFs have been compressed into a single 1.4GB video file intended for use in large language model (LLM) memory. This innovative method could address challenges related to data storage and optimize memory usage for machine learning applications. Users noted the potential implications, suggesting that transforming static documents into a more dynamic format (like a video) may enhance how LLMs process and retrieve information. However, compressing data this way raises questions about data integrity and accessibility. Further exploration into the effectiveness of this compression in real-world LLM applications is needed.