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