Tech

I Tried to Summarize a E-book With ChatGPT, and the Plagiarism Protections Labored


On the weekends, I cozy up on the sofa with my espresso, and I go away my cellphone in one other room, hoping to succeed in my aim of studying one e-book each month. This ritual creates house that is unbound by time and to-do lists — however as my studying checklist grows, I discover myself making an attempt to get by extra pages and extra books.

I needed to see if I might use artificial intelligence to summarize the principle ideas, classes and knowledge of a e-book I may not get to for months and even years. Hold the gorgeous prose for the bodily web page, however use AI to summarize nonfiction enterprise books, for instance. 

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I picked Deep Work by Cal Newport to check run on ChatGPT. After utilizing varied AI instruments, I believed ChatGPT, one of many best-known textual content immediate chat instruments, would do the job finest. I even have the $20 a month membership, so I needed to profit from it. 

However the mission wasn’t very profitable — partly due to plagiarism protections inbuilt to the instruments (and rightly so), and partly as a result of it took a complete lot of immediate engineering and unbiased analysis to get something price utilizing.

Ponder on the parameters 

The very very first thing I realized was that ChatGPT does not have entry to full manuscripts — to avoid plagiarism and respect mental property rights — and simply summarizes from current data on-line.

If I’ve learned anything about AI, it is that the preprompt pondering is simply as vital as the primary immediate. I did not simply need an enormous abstract of the e-book. I needed to be taught Newport’s massive concepts, arguments, methods and frameworks relating to deep work, so I might apply it in my work. 

So, I began the chat with some expectation-setting. 

  • First, ask ChatGPT if it has entry to the entire e-book. 
  • Inform ChatGPT that I need deep insights, not a superficial abstract. 
  • Ask for ideas on tips on how to apply the important thing methods to my freelance enterprise. 
  • See if it could possibly pull from critiques and reader commentary for extra stunning and actionable takeaways.

Immediate 1: “Do you will have entry to Cal Newport’s e-book, Deep Work?” 

AI book summary 1

Screenshot by CNET

Not splendid, however I had an concept. I discovered a 6-hour audiobook YouTube clip, so I requested if it might use that to summarize the e-book for me. 

However no such luck. It instructed me to observe the video — one other plagiarism safety. Watch a video for six hours? That is hardly time saving.

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There are over 32,000 critiques of the e-book on Amazon, so I believed perhaps there’s sufficient commentary on the e-book to provide you with an in-depth abstract. So I began over from this angle. 

Subsequent immediate: “I have never learn Cal Newport’s e-book, Deep Work. Spotlight the important thing concepts, ideas, methods and frameworks, so I can apply to my enterprise as if I’ve learn it. I do not simply desire a abstract of the e-book.” 

ChatGPT had a tough time decoding “complete,” spitting out a ton of ideas. It additionally began to provide recommendation with out asking me about my line of labor, like “educate your workforce on the significance of deep work and supply coaching on time administration and focus methods” and “allocate devoted blocks of time for deep work in your calendar.” It additionally gave generic ideas like “deal with duties that present probably the most worth and decrease time spent on low-value actions.”

All fairly vanilla recommendation, if you happen to ask me. Time to use the stress, one query at a time.

AI book summary 2

Screenshot by CNET

I nonetheless wasn’t getting any breakthrough insights, so I saved pushing. 

AI book summary 3

Screenshot by CNET

OK, ChatGPT, off to the Swiss countryside I’m going. 

I want. 

I requested for an instance of deep work in 2024, and we began to get someplace. I appreciated one suggestion, about batching shallow work.

AI book summary 4

Screenshot by CNET

Whereas I do that instinctively, it was a useful reminder to batch duties and watch context switching. 

Getting Google concerned to maintain ChatGPT on observe

At this level, I used to be utilizing ChatGPT to ask random questions, like if there is a restrict on deep work hours. 

It mentioned 4 hours max of deep work per day. 

I bear in mind an idea I like referred to as the manager-maker schedule, which particulars the 2 essential schedule varieties. As a author, I am on the maker schedule, that means blocks of uninterrupted time are important. 

I needed to do a fast Google search of the important thing classes within the e-book in order that I knew what insights to prod ChatGPT for. Apparently “productive meditation” was an vital takeaway, so I requested for extra particulars about that. 

AI book summary 5

Screenshot by CNET

Lastly, a new idea. Deep work is not simply head down at desk time. 

This technique was the unlock — trying on Google for nuggets in summaries, then going again to ChatGPT to broaden. When directed, it was nice. 

I scanned a second abstract and located one other idea that sounded attention-grabbing: maintaining a compelling scoreboard. ChatGPT helped unpack the idea.

AI book summary 6

Screenshot by CNET

The TL;DR? 

If you wish to use ChatGPT to find out about a e-book, you will must spend a minimum of half-hour looking reader summaries your self and use probably the most attention-grabbing concepts to border your prompts. This inevitably takes a piece of your potential deep work time. You’ll be able to’t simply ask the AI instrument to do it for you. 

When you get heading in the right direction that approach, you would possibly uncover one idea that adjustments your productiveness or perspective — however ChatGPT nonetheless is not nearly as good as simply studying the e-book your self. 

You even have to contemplate that since ChatGPT does not have entry to the precise e-book, and solely summaries and critiques which might be out there on-line, you could not even be getting correct key factors. 

And whether or not utilizing an AI abstract defeats the aim of a e-book about deep work continues to be up for debate.





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