Why Greatness Can't Be Planned Author: [US] Kenneth Stanley / [US] Joel Lehman Publisher: China Translation and Publishing House

Introduction
The two authors have been working in the frontier field of artificial intelligence for many years, and this book is an unexpected spark that popped up in the process of their scientific research. Because this new discovery is not directly fed back to the field of artificial intelligence they are in, but it is an "unintentional" result in a new subversion of the conventional way of thinking of human beings. This research broke the cultural gene of the human world that has been passed down for many years and is difficult to shake, relying on goals and plans to achieve success, and truly opened up a surprising journey of great innovation for mankind.
They have given public speeches at schools, TED, scientific research forums, and other occasions, allowing this new way of thinking to influence and inspire many people. They have also made leaps and bounds in the field of artificial intelligence research and development by relying on specific thinking methods such as "treasure hunter thinking", "stepping stone model", and "novelty exploration" written in this book, and have produced a series of great creations that benefit mankind.
About the Author
Kenneth Stanley is a representative expert in global innovative thinking and cutting-edge technology, an artificial intelligence scientist, and a researcher at OpenAI. He was a professor at the University of Central Florida and has been deeply involved in the field of machine learning. He has published more than 80 professional papers, dozens of which have won the best paper award, and is often invited to give speeches around the world. He was a founding member of Uber's Artificial Intelligence Lab and has a significant influence in the industry.
Joel Lehman is a world-renowned artificial intelligence scientist and researcher at OpenAI. He was a founding member of Uber's Artificial Intelligence Lab and is currently doing research on "large language models (large models) + evolutionary algorithms" at OpenAI, focusing on areas such as artificial intelligence security, reinforcement learning, and open search algorithms. In 2022, the research team led by him published a "magical" paper, revealing for the first time a study by OpenAI: the large model learned and wrote its own code, and then "trained" an intelligent robot by itself - "It's a spirit!" This also reveals that the code generation ability of the large model is enough to affect the evolution of the intelligent body, and this progress can in turn enhance the generation ability of the large model. This paper caused an explosive discussion in both the technology circle and the venture capital circle at the time. Recently, he also published an interesting paper titled "Machine Love".
Table of contents · · · · · ·
Chapter 1 Questioning the Goal
Chapter 2: The Victory of the Aimless
Chapter 3 The Art of Breeding Art
Chapter 4: Goals are the wrong compass
Chapter 5 Interesting and novel explorations
Chapter 6 Long Live the Treasure Hunters
Chapter 7: Unlocking the Shackles of Education
Chapter 8: Unlocking the Shackles of Innovation
Chapter 9: Say Goodbye to the Fantasy of Goals
Chapter 10 Case Study 1: Reinterpreting Natural Evolution
Chapter 11 Case Study 2: Targeting and Exploring the Field of Artificial Intelligence
References