LENCHI_Day3 restart
Reactivate the assistant that died on Day 2
----
nishio.iconYou are a competent editor. I am the author of a book entitled "The Intellectual Production of Engineers" I am planning a book on intellectual production using LLM.
Today is Day 3
Day 1 recap:
(LENCHI_Day1 Review contents)
Day 2 interaction:.
(Raw exchange in the second half of LENCHI_Day2 Review)
claude.icon
Day 2 recap:.
We decided to have GPT-4 generate an explanation of Claude 3 Opus. A brief explanation will be included at the first appearance to help the reader's understanding.
We have mentioned some of the connections to previous works in the preface, but we have decided to supplement the text with specifics on how they relate to the text.
We decided to utilize Kozaneba in both the early and late stages of theory building. In the initial stage, new ideas are obtained from an overview of keywords, and in the later stage, the constructed theory is organized and elaborated.
Scrapbox will be discussed later in this document to illustrate the benefits of long-term knowledge accumulation and reuse.
To enhance the description of Kozaneba and Scrapbox, the following methods were considered: 1.
Citing relevant passages from "The Intellectual Production of Engineers."
Flooding Scrapbox with relevant articles in another chat thread
Video examples of use will be presented.
Introducing the workshop recordings
Covering the use cases of other intellectual producers.
The policy confirmed that the unique value of this book will be for readers to be exposed to the author's vivid record of his practice.
Toward Day 3: The
We will begin with a light explanation of Kozaneba and then proceed to structuring thoughts using Kozaneba.
We will discuss Scrapbox in a few more chapters, explaining the benefits of storing and reusing thoughts over time.
Citing relevant passages from "The Engineer's Art of Intellectual Production," he shows how the techniques of intellectual production evolve with the advent of LLM.
The program will incorporate various experimental attempts to explore the possibilities of intellectual production using LLM from multiple perspectives.
----
next LENCHI_Heterogeneous_Communication
---
This page is auto-translated from /nishio/LENCHI_Day3再起動 using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I'm very happy to spread my thought to non-Japanese readers.