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Home»Technology
Technology

Using ChatGPT to Summarize a Book: Plagiarism Protections in Action

October 2, 2024No Comments2 Mins Read
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The author of the content shares their experience of using artificial intelligence, specifically ChatGPT, to summarize nonfiction business books, starting with “Deep Work” by Cal Newport. They hoped to use AI to extract key concepts and insights from a book they might not get to read for a while. However, they faced challenges due to plagiarism protections in the AI tools and the limitations of only having access to existing online information for summaries. The author highlights the importance of preprompt thinking and setting clear expectations to get meaningful summaries from AI tools.

The author details their interactions with ChatGPT while trying to extract the main ideas from “Deep Work.” They faced difficulties in getting thorough insights and had to push the AI tool by asking specific questions about deep work concepts and strategies. Despite initial generic advice, they eventually started getting more helpful suggestions by framing their prompts effectively. The author also describes using Google to complement the AI-generated responses, discovering concepts like productive meditation and the importance of a compelling scoreboard in the book.

Through trial and error, the author deduces that using AI tools like ChatGPT to learn about a book requires significant time investment in browsing reader summaries and framing prompts strategically. While they found valuable concepts that enhanced their productivity and perspective, they emphasize that AI summaries cannot replace the experience of reading the book firsthand. Additionally, the accuracy of key points retrieved from online summaries and reviews may be questionable, raising doubts about the effectiveness of AI in summarizing complex content like a book on deep work.

The author reflects on the potential implications of using AI to summarize books about deep work, questioning whether it defeats the purpose of delving into deep, focused reading. They discuss the challenges of balancing the convenience of AI-generated summaries with the limitations of not having access to the complete book text. Ultimately, the author suggests that while AI tools can provide some valuable insights and perspectives from books, they cannot fully replicate the depth and nuance of engaging with the physical text. The debate on the efficacy and purpose of using AI for book summaries remains open-ended.

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