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Imperial Library
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Index
Cover
Title Page
Copyright
Dedication
Contents
Introduction
Chapter 1: Machines Run Loops
1. Computers Excel at Repeating Themselves Through Loops.
2. Hard Machines Are Visible; Soft Machines Are Invisible.
3. Human Computers Are the Original Computing Machines.
4. Recursion Is the Most Elegant Means to Repeat Oneself.
5. Loops Are Indestructible Unless a Programmer Has Made an Error.
Chapter 2: Machines Get Large
1. Embracing Exponential Thinking Is Unnatural at First.
2. Loops Wrapped Inside Loops Open New Dimensions.
3. Be Open to Both Directions of the Powers of Ten.
4. Losing Touch with Human Scale Can Make You Toxic.
5. Computers Team Up with Each Other Way Better Than We Do.
Chapter 3: Machines Are Living
1. Discerning What’s Alive Versus What Isn’t Used to Be Simpler.
2. The Science of Lifelikeness Is Undergoing a Renaissance.
3. An Artist’s Perspective Keeps You Humanly Curious.
4. Life Is Defined by How We Live in Relation to Each Other.
5. Computers Won’t Replace Us if We Remain Audacious.
Chapter 4: Machines Are Incomplete
1. Timely Design Is More Important Than Timeless Design.
2. The Temple of Design Doesn’t Rule This Century.
3. Perfection Isn’t as Good as Understanding.
4. An Incomplete Idea Is Only a Good One if You Iterate.
5. Emotional Value Is a Need-To-Have Instead of a Nice-To-Have.
Chapter 5: Machines Can Be Instrumented
1. Telemetry Gives You a Kind of Telepathy.
2. To Know You Better Is to Serve You Better.
3. Data Science Stewards Logical Interpretations at Scale.
4. Testing Your Bets Is Safer Than Praying You’re Right.
5. Autocompletion Is Inevitable and with No One Accountable.
Chapter 6: Machines Automate Imbalance
1. The Tech Industry Has an Ongoing Tendency Toward Exclusion.
2. Big Data Conclusions Need Thick Data Connections to Real People.
3. We Should Expect Artificial Intelligence to Be Just as Dumb as We Are.
4. Open Source Is a Computational Means to Engineer Equity.
5. Mind the Humans.
Acknowledgments
Notes
Index
About the Author
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