Why Superintelligent AI Won't Arrive in 2027
Universal Resilience with JT Yu
@universalresilienceAbout
I make videos on how to build resilience and lasting success in all areas of our lives - business, career, mental health, relationship, community, social movement, and even entire societies and ecosystems. All through the lens of systems thinking, complexity science, control theory, chaos theory, etc, translated into practical tips that everyone can use. My name is Jingtian (JT) Yu. I'm a systems engineer, business consultant, community organizer, and author. I studied physics and biology in school, and throughout my career, I have built and maintained both tech and human systems for businesses, cooperatives, nonprofits, and governments. Outside of work, I like to play guitar, hike, camp, meditate, dance, and go to live shows with friends. Because resilience is also about joy.
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Video Description
With the release of newest version of ChatGPT, 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 might be a fundamental limit to how smart AI can get. And it might even be a limit to intelligence itself. In this video, we will explore the science behind this limit, and its implications for AGI, Superintelligence, and humanity. *Note: Many people have given me constructive rebuttals in the comments. So I have compiled my answers to the common one in a pinned comment. You might especially be interested in answer #5, where I talk about how Mixture-of-Experts techniques can push existing Pareto Front further, while introducing more meta Pareto Fronts. It includes citations of research papers too. Enjoy! And yes, I used a flathead on a Phillips screw in the video. Couldn’t find my Phillips. Decided to troll y'all instead 😅 ** You Might Also Like ** - How to Master Taste in Any Career: The One Skill AI Can't Replace: https://youtu.be/-wfnEFQjGW0 - How to Balance the Trade-offs in Life and Business: https://youtu.be/aQtVOmz5Jn8 - 4 Levels of Systems Thinking: AI Case Study: https://youtu.be/dJL4StdqcyI - Sign Up for My Newsletter Here: https://universalresilience.com/ ** 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 ** Concepts Mentioned in this Video ** - 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.
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