Get Your weekly dose of insights

Join my newsletter, “3 Things I Learned Last Week”
for your weekly dose of insights.

Stay up-to-date with the latest trends, discoveries, and ideas that can help you grow both personally and professionally, as I share the top three things I learned from my explorations across a variety of media.

Subscribe now and join the journey of continuous learning and discovery.

3 Things I Learned Last Week #87 – How to Think Like a Coder, Build with AI, and Slim Down ChatGPT

Welcome to the 87th edition of “3 Things I Learned Last Week”! 🌟

Buckle up, buttercup! We’re about to embark on a wild ride through the jungle of knowledge I’ve been swinging through lately. This newsletter is like a box of chocolates – you never know what you’re gonna get, but it’s guaranteed to be sweet (and maybe a little nutty).

So, what’s on the menu this week? Glad you asked!

  1. The Coding Mindset That’ll Make You Question Your Life Choices!
  2. Cursor Team: When AI Decides to Play “Pimp My Code Editor”
  3. Model Distillation – How ChatGPT Pulls a Houdini on Its Own Brain

Let’s dive in faster than a programmer avoiding sunlight!

🧠 The Coding Mindset That’ll Make You Question Your Life Choices!

Ever wondered what it’s like inside a coder’s brain? Picture a hamster on a wheel, but the hamster is wearing thick-rimmed glasses and muttering about semicolons.

πŸ”‘ Key Takeaways:

  • Patience isn’t just a virtue, it’s a survival skill. Your first attempt at coding will look like a cat walked across your keyboard. That’s normal.
  • Think like a coder: break down problems like you’re dismantling a Lego Death Star. One piece at a time, folks.
  • Bugs aren’t just creepy crawlies anymore. They’re your new best frenemies. Embrace them like that weird uncle at family reunions.

πŸŽ₯ Watch your sanity slowly slip away as you embrace the coding mindset here.

πŸ€– Cursor Team: When AI Decides to Play “Pimp My Code Editor”

Remember when code editors were as exciting as watching paint dry? Well, strap in, because AI just slapped some flame decals on that bad boy and installed a nitrous system.

πŸ”‘ Key Takeaways:

  • AI isn’t just finishing your sentences anymore. It’s writing your code, doing your taxes, and probably swiping right on Tinder for you.
  • Cursor is like the love child of VS Code and Skynet. It’s here to make coding faster, funner, and slightly terrifying.
  • The future of programming is you and AI, sitting in a tree, C-O-D-I-N-G. First comes collaboration, then comes automation, then comes… world domination?

🎧 Listen to the future whisper sweet nothings about programming here.

🧠 Model Distillation – How ChatGPT Pulls a Houdini on Its Own Brain

Ever tried to squeeze into your high school jeans? That’s basically what model distillation does to AI models. It’s all about getting that big brain energy into a more svelte package.

πŸ”‘ Key Takeaways:

  • Model distillation is like putting your AI on a diet. Smaller, leaner, but still packing a punch like your grandma’s secret sauce.
  • It’s the ultimate magic trick. Companies can share their AI’s smarts without revealing the secret sauce. It’s like giving away the recipe, but keeping the chef.
  • This tech is spreading faster than gossip in a small town. From chatbots to image generators, everybody wants a piece of this distilled action.

πŸŽ₯ Watch AI perform the ultimate downsizing magic trick here.

That’s all, folks! Hope this knowledge dump didn’t short-circuit your brain. If it did, well, have you tried turning it off and on again?

Don’t be a stranger! If you’re not already part of our merry band of knowledge seekers, hit that subscribe button faster than you hit snooze in the morning.

πŸ“© Subscribe here: https://www.nathanonn.com/newsletter/

May your code be bug-free and your coffee be strong!

~ Nathan

P.S. If you found this newsletter more entertaining than watching cat videos, share it with a friend. If not, well, I guess there’s always next week!

The author partially generated this content with GPT-4 & ChatGPT, Claude 3, Gemini Advanced, and other large-scale language-generation models. Upon developing the draft, the author reviewed, edited, and revised the content to their liking and took ultimate responsibility for the content of this publication.


Posted

in

by

Tags:

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *