The Premise I was initially reluctant on using generative AI for my writing process.
That being said, I was quite aware of the potential of large language models (generically addressed as LLMs in here henceforth) - especially true in the case of content creators and/or eccentrically curious individuals.
I, therefore, decided to clarify how I’ll be using generative AI for my ideation process.
The Promise Before we get onto that, as promised by the title, distilling the over-arching skills needed to extract good insights from a conversation with an LLM (an el-el-em; please don’t read it as large, please.
So, I’ve been reading a book on prompt engineering and decided to practice a little…
Here’s a conversation I had with chatGPT regarding a small essay I wrote recently and fortunately, there’s room to improve.
Here’s how it went…
Criticize my writing … Raj: You are my writing critic for this session; do not make any intellectual changes in any text I paste; do not heavily influence my style; only analyze what I say and generate pointers as to how I can become a better writer.
Books play a pivotal role in the life of any aspiring and existing intellectual. I began reading diversely and seriously when I was 19 and immediately regretted not starting sooner.
Reading sets you up for an involved existence. If you read vastly, you’ll be a force to be reckoned with.
Over the span of 3 years (2019 - 2022), I read around a 100 books ranging from the classics, biographies, auto-biographies, physics, computer science, anthropology, data science, etymology, theology, game theory, mathematics, history, how-to-books, nutrition, physiology , fitness, health, psychology, neuroscience, linguistics, business (okay, don’t judge - we all do this), economics, writing, self help (guilty as charged), spirituality, humor (guides to being funny and similar stuff), young adult (only 1 - please don’t chastise me - I could not handle the cringe), philosophy (a lot - please don’t chastise me) and meta books (speed reading, how to consume books, taking notes, etc).
This is an auxilliary post collating resources for the recent video I posted …
The Pipeline All the ideas, resources that I want to process, any miscellaneous questions I have, are fed into the input-queue in the buffer All the manipulation takes place in these buffers - they’re org-files and I use org-roam to maintain the connections whenever a node set ripens and is worth sharing, I write a post or publish a video.
