Meet Kenneth Stanley, an artificial intelligence expert, author, former professor of computer science at the University of Central Florida, and creator of Maven, a new social network designed to help you discover new interests and connect with like-minded individuals.

At the beginning of the episode, Kenneth takes us on a journey through his early years in artificial intelligence, recounting the challenges of figuring out how computers could act like a person.

Halfway through the episode, we delve into the idea that sometimes setting an objective is bad for you. Kenneth's perspective offers a unique take on achieving greatness, especially if you’re trying to be creative or innovative.

Near the end of the episode, Kenneth introduces Maven, a social network that disrupts the traditional online experience by eliminating addictive elements like likes and followers. Would you try a social network like this?

I hope you enjoy this episode, and helps you reflect on your life objectives and reconsider your approach to it.

Check Out More of Stanley’s Content Here ?   
?  https://www.kenstanley.net/ 
? Why Greatness Cannot Be Planned - https://www.amazon.com/Why-Greatness-Cannot-Planned-Objective/dp/3319155237 
? Google Scholar ? https://scholar.google.com/citations?user=6Q6oO1MAAAAJ 
? HeyMaven ? https://www.heymaven.com/ 
? Send an Email to ? kennethostanley@gmail.com 
ℹ️ LinkedIn ?  https://www.linkedin.com/in/kenneth-stanley-3a159b 
⌨️ X (Twitter) ? https://twitter.com/kenneth0stanley

Timestamps:

00:00:00 Introduction to Ken

00:03:00 Trying to get a computer to act like a human

00:11:30 How to get kids interested

00:14:00 Achieving without an objective

00:19:00 Ambitious objectives

00:26:00 Neural Networks

00:27:50 Getting into artificial evolution

00:29:30 The two brains

00:31:20 Divergent vs Convergent

00:38:40 The great focus at the moment

00:39:00 Why greatness cannot be planned

00:44:30 Maven: a new social media platform

00:51:00 No likes, no follows, only interests 

01:01:45 Entrepreneurs & social networks

01:07:10 The algorithm behind things 

01:10:00 The time before likes

01:15:00 Why keep the old 

01:18:50 Meritocracy

01:25:10 Maven post examples

01:30:45 Applying these concepts to your life

01:43:45 Where to find Ken