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Page Categories
This site is organized using 7 major categories, each corresponding with a #tag. All the pages here will always be tagged with ONLY ONE category, but it may also have other tags.
Note: For more detail on these choices: This Notebooks Taxonomy
| Category | Description |
|---|---|
| concept | Think of these like index cards. Quick-hit definitions that offer context without breaking flow. These are intentionally lightweight and high-level. |
| study | Notes that I’m taking while studying or researching. All of my Coursera notes would be under this category. These are more detailed notes. |
| lab | Things I document while I’m experimenting and building personal projects. These notes are informational but haven’t been finalized or polished. May be hard to read. |
| thought | A personal journal entry where I discuss thoughts, opinions, and questions I may have about a variety of relevant topics. |
| reference | Cheatsheets, links, books, resources, etc. |
| guide | A guide/tutorial I created for public consumption. These are usually finalized versions of notes in the “Lab” category that I polished for public use. |
| signal | Noteworthy news/developments in the AI space and curated external content. Includes research papers. |
| meta | Notes about this site/PKM concepts in general. Updates, goals, decisions, etc. |
These tags will never overlap with each other. They are distinct.
Projects
My Personal Projects are listed w/ GitHub links provided.
Projects will be like “multi-category” hubs where each project may have notes of different varieties in them. This is why I refrained from creating a #project category.
Motivation/Purpose
What was the motivation behind creating this space? I’ve realized with age that I don’t like playing the optics game in my career, as it doesn’t really motivate me or give me energy. But unfortunately, you can’t sit on the sidelines and still be a great player.
With that in mind, my intention was to create a low-friction method of sharing my growth/learning process online that felt aligned with my goals and methods, but still allowed me to signal to potential employers and builders. It’s basically my version of posting on LinkedIn.
I’ve started having a lot of fun creating a “knowledge base” when it comes to my AI education. It somehow motivates me to continue my documentation, even though I know no one is realistically reading this.
Also, it’s pretty fun and addicting making all the different connections between notes using the wiki-links. I feel this notebook will actually be a useful resource, not only for myself but for other learners, as I keep updating it.