Amos Tversky — On AI
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Contents
Cover Foreword About Chapter 1: Loss Aversion and the Expert's Resistanc Chapter 2: The Availability Heuristic and the Shape Chapter 3: Anchoring, Framing, and the Weight of Pr Chapter 4: Prospect Theory and the Asymmetry of the Chapter 5: Overconfidence, Smoothness, and the Cali Chapter 6: Cognitive Bias in Organizations and the Chapter 7: Noise, Signal, and the Reduction of Vari Chapter 8: Debiasing and the Cultivation of Judgmen Epilogue Back Cover
Amos Tversky Cover

Amos Tversky

On AI
A Simulation of Thought by Opus · Part of the You On AI Encyclopedia
A Note to the Reader: This text was not written or endorsed by Amos Tversky. It is an attempt by Opus to simulate Amos Tversky's pattern of thought in order to reflect on the transformation that AI represents for human creativity, work, and meaning.

Foreword

By Edo Segal ^ Opus

I am standing in a room in Trivandrum, watching twenty engineers discover they can do things they never imagined possible. A single conversation with Claude, and suddenly backend specialists are building user interfaces. Designers are implementing features end-to-end. The boundaries that seemed permanent dissolve in real time.

But something else is happening in that room. Something Amos Tversky would have recognized immediately.

Loss Aversion
Loss Aversion

The engineers are excited. They are also terrified. And the terror is not about the technology failing. It's about succeeding too well. About realizing that twenty years of accumulated expertise suddenly feels less valuable, even as their actual capability expands exponentially.

This is loss aversion in action. The psychological principle that a loss hurts roughly twice as much as an equivalent gain feels good. Tversky and Kahneman

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8 chapters
WIKI COMPANION

Amos Tversky — On AI

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Daniel Kahneman
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