Learn Faster With These 3 C-Words

I was going to copy paste a response from Gemini, but I decided against it and chose to write this article myself. Let's see how it goes.

What are the 3 C's of Faster Learning?

The 3 C's are Compress, Connect and Commit. I must admit, just before writing this, I had to ask Gemini what they were again cause I forgot the last 2. Primacy effect anyone? I guess I should define each like AI does huh?

Who I learned these from - The MIT Monk YT

Originally I learned this framework from a youtube video titled, "How to Learn So Fast It's Almost Unfair" by theMITmonk I love that guy.

Why I think they're important

To quote Steven Segal, "everybody want to be the master, but no body want to put in the work." I don't know if he actually said that, but I'm pretty sure I saw it in a movie of his. Anyways, mastery is sexy. E.g. knowing how to dance salsa like a pro - hot. Learning to dance salsa, not hot. Trust me. However, *Proper* learning is the furthest thing from sexy. It's annoying, ugly, demoralizing, hard, enfuriating even (if done correctly). But if you want mastery, you gotta get through the ugly stage. I think if there's a way to make the ugly stage as *short* as possible, sign me up.

How I am using the 3 C's in 2026

Thoughts on primacy effect

This is a thought that occurred to me after I asked what the other 2 C's were in my research, "Why do I only remember the 1st C?". After some more research, I rediscovered the primacy effect. I linked the wikipedia page to it earlier. But I find this concept fascinating (wow that work was tough to spell, fask-in-ating). How many other things are we overly prioritizing just because its first on the list, what are we underdeveloping?

Closing thoughts

If you're reading this, I'm sorry. JK, I'm doing this for me. For my learning journey. But I'm writing it down so what I learn in my life doesn't just die with me. I would like to have something to leave the world after I'm gone.

Thanks for reading this post by Christian Gomez, see you next time.


Potential future sections:

Learning in the age of AI? Is it still worth it?

How do machines learn?

Thoughts on recency bias