Structural Knowledge Sharing Framework

Reasons why I do this framework

1. Learning itself is counter-intuitive, which means it's very tiring and naturally repulsive. Learning from the shallow end to the deep end may make it easier for people to accept and avoid the repulsion so quickly.
2. Not everyone needs to understand the deepest principles and mathematical formulas when learning a subject.
3. To maintain a certain level of innovation, you need to understand multiple fields of knowledge, but you don't need to master every detail like mathematical formulas. Therefore, you need to learn in layers, generally understanding the shallow end and delving into deeper details when needed.

Target Audience

1. Beginners who are not professionals. They lack basic industry knowledge and therefore find it difficult to understand articles in the AI ​​industry.
2. Professionals who want to continuously learn new knowledge, but due to daily work schedules, they lack the time to read every article. Furthermore, finding the right introductory articles in the vast ocean of knowledge is not easy.

Background

After spending a long time reading a tutorial or completing a course, I find that a lot of knowledge can be clearly understood in just a few sentences. Sometimes, however, I find myself missing the big picture, making it difficult to understand the origins of details. (TODO: Give some examples.) Therefore, I'd like to establish a new knowledge sharing system that starts with a macro perspective to understand what something is, what it does, and what it can be used for. This would be a better approach.

Questions

1. I'm not sure if my ability to clearly explain a concept in a few sentences is due to my basic knowledge of machine learning.
2. Can my structured knowledge network be applied to other fields besides machine learning?
3. I suspect this framework may not be suitable for very deep content.
4. To break down the content into layers, someone like me needs to understand the module to a certain depth, which is a significant amount of work. It depends on whether AI can be used.
5. It may not be suitable for very basic knowledge, so users need to have a certain level of basic knowledge.

My Framework

1. Pyramid-style, with the top being easy to understand and the content getting deeper as you go down.
2. I will use a comparative learning approach, comparing the content of this module with that of other modules.
3. I will use multimedia, images, GIFs, sound, and video.
4. I will probably incorporate 3D GIFs to represent the connections between modules, allowing users to select the content they want to learn (first on the web, then on a VR device).
5. I haven't yet decided how to represent the pyramid-style content within a single module. Should I just represent the different levels of depth as separate modules?
6. I will use AI to calc the related modules or similarities.