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 #91 – Prompt Hacks for More Cash

Welcome to the 91st edition of “3 Things I Learned Last Week”! ๐ŸŒŸ

We’re about to embark on a wild ride through the jungle of knowledge I’ve been hacking my way through. Think of me as your personal Indiana Jones, except instead of a whip and a fedora, I’m armed with a laptop and an unhealthy caffeine addiction.

Ready to have your mind blown? Let’s dive in!

  1. ๐Ÿ’ฐ Make Money with OpenAI O1: The AI Sugar Daddy You Never Knew You Needed

  2. ๐Ÿค” Prompt Engineering = BS? (Spoiler Alert: It’s Complicated)

  3. ๐Ÿš€ Prompt Compression: Because Size Does Matter (In AI, at least)

๐Ÿ’ฐ OpenAI O1: Your Ticket to the “I Can Afford Avocado Toast” Lifestyle

Ever wished you could clone yourself to tackle all those pesky tasks? Well, OpenAI’s O1 is basically that, minus the existential crisis of meeting your doppelganger. This AI wonder can do everything from coding to designing websites, and it doesn’t even ask for bathroom breaks!

๐Ÿ”‘ Key Takeaways (or “How to Make Your Bank Account Happy”):

  • O1 is like having a team of nerdy superheroes at your fingertips. Use it on freelance platforms and watch the money roll in.
  • The AI task market is hotter than a freshly baked Pop-Tart. Get in now before it becomes as crowded as a Comic-Con bathroom line.
  • Combine O1 with other AI tools like CLAUDE. It’s like making a superhero team, but instead of saving the world, they’re saving your bank account.

๐ŸŽฅ Watch this video to learn how to make O1 your new sugar daddy.

๐Ÿค” Prompt Engineering: The Art of Talking to Robots Without Sounding Like One

Remember when we thought longer prompts were better? Well, turns out AI is like that friend who zones out during your long stories โ€“ sometimes, less is more.

๐Ÿ”‘ Key Takeaways (or “How to Speak Robot”):

  • O1 Mini is like that smart kid in class who gets it even when you explain badly. Keep it simple, stupid.
  • For GPT-4, think of it as training a puppy. Repetition and feedback are key. (No treats required, though.)
  • Divide and conquer: Use different models for thinking and doing. It’s like having a strategist and a worker bee, but they’re both made of code.

๐ŸŽฅ Watch this video to become fluent in Robot.

๐Ÿš€ Prompt Compression: Because Even AI Appreciates a Good Diet

Turns out, AI prompts are a lot like tweets โ€“ the shorter and punchier, the better. Who knew robots were into the whole minimalism trend?

๐Ÿ”‘ Key Takeaways (or “How to Put Your Prompts on a Diet”):

  • Trim the fat from your prompts. It’s like giving your AI a sleek, new makeover.
  • Focus on power words. It’s not what you say, it’s how you say it (to a robot).
  • Use custom GPTs to automatically compress prompts. Because why do the work when you can make AI do it for you?

๐ŸŽฅ Watch this video to become the Marie Kondo of prompt engineering.

That’s all, folks! Hope this knowledge dump was as fun for you as it was for me. Remember, in the grand scheme of things, we’re all just prompt engineers trying to make sense of this crazy, AI-filled world.

Stay curious, keep learning, and for the love of all that is holy, don’t forget to subscribe. Your future self will thank you (and maybe buy you that avocado toast).

๐Ÿ“ฉ Subscribe here: https://www.nathanonn.com/newsletter/

Now go forth and conquer, you brilliant, knowledge-hungry beast!

~ Nathan, your friendly neighborhood knowledge dealer

P.S. If you enjoyed this newsletter, share it with a friend. If you didn’t, share it with an enemy. Either way, spread the love (or the mild inconvenience).

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 *