We humans communicate through stories. Narratives are how we make sense of the world, passing down wisdom, culture, and traditions. But what about artificial intelligence? Can AI truly "get" a story, or is it just mimicking patterns? Researchers tackled this question by exploring how BERT, a large language model, processes narratives. They used another AI, ChatGPT, to create different versions of classic fables, tweaking the writing style while keeping the core message intact. Think of it like telling the same story in a formal tone, then switching to slang, and then trying a poetic rendition. These variations were fed to BERT, and the researchers peered into its "brain" to see how it reacted. Surprisingly, they found BERT doesn't process everything at once. Early on, it focuses on *how* the story is told—the writing style. Later, it delves into the *what*—the actual plot and meaning. This suggests BERT breaks down language processing into distinct steps, much like our brains might handle different aspects of communication. This research is a step toward understanding how AI "thinks" about language. It also offers a glimpse into the complex processes behind human comprehension. While we're still far from a complete understanding, this work opens exciting avenues for building more sophisticated and interpretable AI systems. The next chapter in this story is just beginning.