The article discusses the concept of a 'taste atlas' created by an AI assistant that analyzes an individual's reading and viewing history. Unlike conventional recommendation engines, which merely suggest options based on past behaviors, a taste atlas delves deeper into themes, narrative structures, and emotional responses. This tool helps users identify what resonates with them, discover gaps in their cultural experiences, and highlights unexplored areas of literature or film. Customizable prompts allow for tailored suggestions, enhancing personal discovery in reading and viewing preferences.
By feeding your favorite books and movies to an AI assistant, you can uncover hidden patterns in what you love, helping to understand your reading self better.
Collection
[
|
...
]