Introducing myself and our book which was written in part by GPT3

Hi everyone,

I would like to introduce myself to this forum. I am an author and consultant specialising in customer experience design, innovation and business model development.

While I did study AI as part of my cognitive psychology degree in the early 90s, I am currently interested in the intersection between human and computational ontology.

I would also like to take this opportunity to mention our new book briefly - Deep Tech and the Amplified Organisation: How to elevate, scale and amplify your business through the New 4Ps of platforms, purpose, people and planet

We used GPT-3 to write an executive summary of each chapter, which was an extremely educative experience. This phrase was particularly interesting, given that it came from AI:

“We need a critical questioning of the societal and ecological impacts of high-tech tools. This time, let’s do disruption right. Humanity’s greatest achievements have happened when we did not wait”.

I look forward to conversing with you all over the coming months.

Warm regards


Would be nice if GPT3 was credited on the cover author line if only for the laughs.

other than that ill defs think about ordering a copy one of these days and give it a read :+1:

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Hi @sergedawg

We discuss our experience of writing with GPT-3 in the preface where we give full credits and explain the editing process (as per the Ts and Cs for the private beta trial). The preface can be read by downloading the free Kindle sample here. Our book is also free to read for those with Kindle Unlimited.

While I do have a sense of humour, and like your comment, our book has a very serious message and so we decided not to include GPT-3 as a co-author in order not to lessen the impact for readers experiencing GPT-3 for the first time.


Out of curiosity, what did you find was the most effective way to use GPT-3 to summarize large texts that go over the token limit for the “standard” query?

Hi @tanner49

Because we had written a structured business book rather than fiction, we were able to analyse each sub-chapter at a time. We created a spreadsheet with temperature levels of 0.3, 0.5 and 0.7. Having created this, each Executive Summary for each chapter used a range of these summaries in order to make them interesting to read, rather than completely dry keyword type summaries.

I am attaching a section from our spreadsheet to show you the paragraphs we produced. From these we created Executive Summaries of one page in length.

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