Description :-
With OpenAI's recent release of ChatGPT 5, it seems more and more evident that AI advancement is slowing down. But the reason behind that is more than just technical hurdles like hardware, algorithm, and training data. There’s a fundamental limit to how smart AI can get. In this video, we will explore the science behind this limit, and its implications for the future of AI. ** Video Chapters ** 0:00 Intro 1:09 Pareto Front 2:32 Generalist vs Specialist 3:54 Being Big vs Being Small 6:26 The Problem of Taste 9:19 Mediocre AI ** Additional Notes to the Taste Chapter ** AI can already model certain aspects of taste, like identifying what’s popular right now, or at least what was trending at the time of its training data. But predicting what will be next is far more important for decision-making. If AI only replicates existing trends at scale, it actually shortens the lifespan of those trends by oversaturating them. Developing this kind of “future taste” is vastly harder for AI, especially in smaller, niche communities where subtle shifts drive what becomes cool. This is another reason why AI would need to constantly experiment and gather real-world feedback to keep up, aka living like a human. But such systems would be far more expensive to build and train. And even then, they would likely still fall short of human intuition. ** Related Links ** - Sign up for my newsletter here: https://universalresilience.com/ - How to Balance the Trade-offs in Life and Business: https://youtu.be/aQtVOmz5Jn8 - Pareto Front: https://en.wikipedia.org/wiki/Pareto_front - No Free Lunch Theorem: https://en.wikipedia.org/wiki/No_free_lunch_theorem - Life History Theory: https://en.wikipedia.org/wiki/Life_history_theory - Modularity: https://en.wikipedia.org/wiki/Modularity - System 1 Thinking: https://en.wikipedia.org/wiki/Thinking,_Fast_and_Slow ** Disclaimer ** This talk is for educational purposes only. It’s not medical, mental health, financial, or legal advice. Please consult a licensed professional about your specific needs.