is the orchestration based on folder structure/ICM better that creating a knowledge graph and a semantic layer to get the required context from the knowledge graph. Which will yield better results if we evaluate both. What are the pros and cons of each approach?

We just broke 40k Members, in less then 4 months... To say I am honored and blown away is an understatement. I feel like yesterday @Matthew Creamer quit his job to sleep on my floor and bust out 15 hour days to build out content, structure and anything else I thought you all would need to make this community worth it. But at the end of the day there is only one thing for me to say. THANKYOU None of this, and I mean NONE of this would be remotely worth it if it wasn't for you all. To list and tag everyone that have contributed so much valuable not just to this community but to me would be nearly impossible. Thank you to every single one of you. Thank you for commenting and helping out on posts Thank you for sharing the wins you have gotten both at home and professionally. Thank you for believing in me and what I am building septically those of you who have been around since the beginning (you know who you are). I cannot tell you how happy my heart is to get in front of you all and teach, talk, ask questions and even learn a lot myself. It is a dream come true to become someone that people can learn from; to share my thoughts and have those very thoughts change the way people live their lives and do their work. It's only the beginning too, I can't wait to see what the rest of the year has in store, and I promise to keep building, working and recording for you all. From the very very very bottom of my heart.....Thankyou! Thankyou to every single one of you reading this and for being part of such an amazing community.

Completed the Foundation Course and have now leveled up to Level 2! One of my biggest wins so far is that I’m starting to understand many of the concepts being discussed across the AI industry—for example, when the Perplexity CEO said, “Orchestration is where the value is,” it finally clicked. Looking forward to continuing the learning journey and contributing to the community!

You just ran Claude Code on your own files. Vote below, then drop what you made in the comments. What was the task? What did you get back?

Six fully animated videos I handpicked from my previous lectures. Each one takes something from computing history and uses it to explain a part of AI that most people get wrong. You will trace a single line of Python through 12,000 lines of code. You will watch a $200K AI project become worthless overnight. You will open the most-starred "AI" project on GitHub and find zero AI inside. You will learn why a word game from 1953 is the best explanation of how prompting actually works. And you will see a psychological test built to study authoritarianism after WWII now running on language models. Every video was built with the same one-person AI animation pipeline I teach here. Remotion, Claude Code, no editors, no agency.