Break new ground in problem-solving and decision-making by learning from AI
A well-paid executive feels trapped in her very respected but unsatisfying job. A startup founder has paying customers, but knows that unless he ‘fires’ them and pivots the business, his startup won’t make it. A senior government planner is tasked with undoing the nation’s reliance on outdated infrastructure.
These are all examples of individuals stuck in a Local Maximum; we’ve reached a peak, but not the one that fulfills the highest potential. In order to move up in our pursuits, we must first move back down - a realization which can lead to frustration, decision-making paralysis and lost opportunity.
In How to Move Up When the Only Way Is Down: Lessons from Artificial Intelligence for Overcoming Your Local Maximum, Judah Taub draws from his perspective guiding early stage AI startups, his years serving in military intelligence, and various experiences leading innovation throughout his career. With his off-the-beaten path perspective, Judah shares insights into how humans can achieve better decision-making by learning how AI overcomes local maximums.
What tech engineers already know is that with the rise of AI, we’ve developed new ways of addressing these limitations. These techniques, employed to save billions of dollars for global giants like Amazon and Google, are equally applicable to each of us.
To show how, Judah shares a variety of real world examples, involving Olympic high jumpers, the transition of Ethiopian immigrants from gas station attendants to high tech engineers, the evolution of playing cards into Nintendo, the development of ChatGPT, the link between wildfires and hedge fund managers - and much more.
Explore:
- How to anticipate and identify Local Maximums
- How to overcome psychological Local Maximum blocks and biases
- How to build skills and apply strategies to succeed in complex decision-making
- How Local Maximum thinking can help overcome major global challenges
The book is equipped to benefit anyone facing complex decisions, or obstacles to their personal or professional goals. How to Move Up When the Only Way is Down is designed to transform readers’ decision-making by recognizing Local Maximums and skill building based on lessons from AI.
Table of Contents
Foreword vii
Introduction: The Local Maximum Trap: A Universal Challenge 1
Chapter 1: The Highest Mountain 7
Chapter 2: Assessing the Terrain vs. Climbing 17
Chapter 3: Training to Overcome the Valley of Death 33
Chapter 4: Agility to Navigate the Unexpected 51
Chapter 5: The Mountain Within - The Psychology of a Local Maximum 65
Chapter 6: Time: The Fourth Dimension 87
Chapter 7: Global Maximum Equilibrium vs. Self-Interest 103
Chapter 8: Dangerous Mountains 117
Chapter 9: Using Local Maximum to Your Advantage 133
Chapter 10: Local Maximum’s Effect on Global Challenges 145
Conclusion: Our Own Mountains 175
Notes 179
A Conversation with ChatGPT 185
Acknowledgments 189
About the Author 191
Index 193
