Researchers have developed a machine learning model named Epicure that maps the complex relationships between food ingredients into a mathematical space. By leveraging these embeddings, the team has effectively compressed the vast knowledge of human cooking into a tiny two-megabyte dataset. This breakthrough reveals an emergent geometric structure to culinary recipes that could significantly advance automated food generation.