The article discusses how language models can analyze millions of book reviews to identify which books readers often describe as "life-changing." It presents a list of the top 300 life-changing books based on this analysis, detailing the methodology and insights gained from the data. The findings challenge conventional notions of popularity, revealing that the most life-changing books are not necessarily the most-read or top-rated ones.