Description :-
Is "learning AI" the wrong goal? In this video, I break down why understanding AI as the next compiler is the key to navigating the future of technology, business, and even your own career. We'll move beyond the hype and dive into the fundamental truths of how to orchestrate and utilize AI effectively. I show you the practical logic behind advanced prompt engineering, how I build powerful data pipelines, and why this new layer of abstraction is revolutionizing everything from programming to business workflows. Whether you're a seasoned programmer or just starting, this video will give you the foundational axioms to stop feeling behind and start building for the future. d Links Mentioned: My Thesis on AI and Psychometric Data Pipelines: [https://drive.google.com/file/d/1dI_VMMMwy-p4IHE0FThkalWag0Wxnx18/view?usp=sharing] GitHub Repository for the Python Notebook: [https://github.com/RinDig/GPTmetrics] Beyond The Turing Test: https://substack.com/home/post/p-171728495 Timestamps: 00:00 - Introduction: Turing's Vision & The Goal 01:00 - AI is the New Compiler 01:48 - Why 95% of AI Initiatives Are Failing 02:45 - Operating on Fundamental Truths 03:30 - Who Am I? (My Background) 05:20 - Let's Talk About Prompt Engineering 06:50 - Advanced Prompt Engineering: A Real-World Example 09:25 - The "Final Prompt" Explained 10:15 - Simplifying the Concept: AI as a Smart Mad Libs Game 12:30 - Controlling AI Output with Your Own Data 13:50 - Fixed vs. Variable Parts of a Prompt 14:55 - The Compiler Analogy: From Machine Language to AI 17:10 - The Future of Programming & Abstraction Layers 18:40 - Sneak Peek: Part 2 & The 4 Core Concepts of AI Orchestration 20:55 - Conclusion & Final Thoughts