All of these unstop challenges are mostly copium.
I spent my entire 1st 2nd Year chasing competitions. Won some, Lost some.
At max maybe feeling reality of ram giving up at 400%. But at the end of the day not much learned.
Atp Ill just sit down and study.
I wanted to be a Game Developer.
Inference, Kernel or Performance are the only other roles I think I can be passionate about. Really like the concept of GPUs and coding them for parallel processes.
If not imma just switch to research with RL and Robotic Learning.
Close Enough.
You may not value a certificate you get, but having the knowledge even slighest of it gives you an edge over the ones who dont have it.
It just enables more.
Im not getting into the self study talk cuz that confuses my analogy.
Should you learn Math in the world of AI?
The thought I came across, yes. The calculator analogy states calculations became obsolete. But we did know its fundamental operations ie. +, ×, -, / etc.
Similarly I believe we should know the working behind LLMs and AI.
For the love of god. Ditch Obsidian.
First make notes by hand. Then do whatever with them.
Online notes are just something you will forget in 2 days, but handwritten notes last you longer with much more clarity.