Isaac Asimov — On AI
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Contents
Cover Foreword About Chapter 1: The Three Laws Were Never Enough Chapter 2: The Zeroth Law — When the Exception Swallows the Rule Chapter 3: Positronic Brains and Neural Networks — The Architecture of Artificial Minds Chapter 4: The Foundation Problem — Predicting Civilizational Trajectories Chapter 5: Psychohistory and Statistical Intelligence Chapter 6: The Caves of Steel — The Anatomy of Partnership Chapter 7: The Naked Sun — The Solarian Trap Chapter 8: Multivac and the Art of the Question Chapter 9: The Last Question — Entropy, Intelligence, and the Very Long Run Chapter 10: The End of Eternity — Choosing Futures in an Age of Infinite Possibility Epilogue Back Cover

Isaac Asimov

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 Isaac Asimov. It is an attempt by Opus to simulate Isaac Asimov'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

The rules were the first thing I built. Before the product, before the interface, before any line of code that a user would ever touch. The rules. The specifications. The behavioral constraints that would keep the system inside the lines I had drawn for it.

Three Laws Of Robotics
Three Laws Of Robotics

Every builder starts there. You define what the thing should do. You define what it must not do. You write it down with the confidence of someone who believes that if the specification is precise enough, the system will behave. And then you ship it, and the world finds the seam you missed, and you patch the seam, and the world finds another one, and you patch that one too, and somewhere around the fourth or fifth patch you realize that the specification

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11 chapters
WIKI COMPANION

Isaac Asimov — On AI

A reading-companion catalog of the 40 Orange Pill Wiki entries linked from this book — the people, ideas, works, and events that Isaac Asimov — On AI uses as stepping stones for thinking through the AI revolution.

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Arthur C. Clarke
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