Hey, I’m Rey.

I’m an MBA student at Berkeley Haas with a background in Tech, Gaming, and a touch of Consulting. Like many people right now, I’m super intrigued by AI, but I learn best when I break things down simply, visually, and practically.

This blog is my way of doing that. It’s a journal of sorts, a live document to use corporate lingo, where I unpack what I learn about AI from a non-technical, but curious MBA lens.

It’s selfish, sure, mostly for me to study better, comprehend new topics and try to simplify complex themes … and also use Notion a bit more. But if you find something useful in it, that’s a win too.

The research carried out for this blog is of course aided by AI, and so it the writing, but know that I will try and write 90% of what you see here.

The whole purpose of this is to understand something enough that i can explain it myself in simple terms. So if you see some gramatical mistakes, or event, god forbid, a spelling mistake, just know it came from me directly.

As mentioned, its a live document where I … well document my findings and learnings.

Ok, let’s run this out.

Below is an Index of all I've written so far and what's to come. Start by the intro, then move into 101, and you know the story.

Intro

What is this, what is it for, what's AI?

101_Why_the_Boom?

Why is it that AI felt like it was suddenly everywhere?

Page Title Type
🚍 Optimus_Architect What is the Transformer Architecture?
💽 CPU_GPU_WTF? How do Chips and GPUs matter for AI_
🤑 Open_source_Means_Free? So, some things are … free?