> The article discusses the author's experience and observations regarding the use of language model-based tools like ChatGPT for summarizing texts, specificall

> The article discusses the author's experience and observations regarding the use of language model-based tools like ChatGPT for summarizing texts, specifically highlighting their limitations. The author initially believed summarizing was a viable application for such models but found through practical application that these tools often fail to produce accurate summaries. Instead of summarizing, they tend to merely shorten texts, sometimes omitting crucial details or inaccurately representing the original content. This is attributed to the way language models prioritize information, often influenced more by the vast amount of data they've been trained on rather than the specific content they are summarizing. The author concludes that these tools are less reliable for producing meaningful and accurate summaries, especially when the text is complex or detailed. The experimentation with summaries on different subjects further demonstrated that these models often produce generalized content that lacks specific, actionable insights from the original texts.