Contents
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What is Intelligence?
Foreword
Preface
Introduction
Origins
Abiogenesis
Symbiogenesis
Reproductive Functions
Life as Computation
Artificial Life
Thermodynamics
Dynamic Stability
Complexification
Virality
Compression
Embodiment
Daisyworld
Élan Vital
Survival
Being in Time
Batting Average
(No) Things in Themselves
Anthropic Principle
The
Umwelt
Within
Latent Variables
Modeling
Learning by Evolving
Cause by Effect
Goodness and Truth
Are Feelings Real?
Interlude
The Prehistory of Computation
Cybernetics
Love and War
Killer App
Behavior, Purpose, and Teleology
Negative Feedback
How We Know Universals
Perceptrons
Deep Learning
Closing the Loop
Learning
Unkneading
Transfer
Green Screen
Grandmother Cell
Final Causes
Meathead
Neuromodulators
Bootstrapping
Beyond Reward
Other Minds
Forking Paths
Children of Time
Sphexish
Matryoshka Dolls
Intelligence Explosion
Crew of Eight
Homunculus
Illusion and Reality
Many Worlds
Au Revoir
Will What You Will
What It Is Like to Be
Weird
Entanglement
Zombie-Free
Alters
M-I-B
The Interpreter
Multifractal Boundaries
Ourselves
Block Diagram
Recurrence
Efference Copy
Phenomenality
Blindsight
Subbasement
Neocortex
Social Neuroscience
Transformers
Language
Sequence to Sequence
Prediction Is All You Need
Semantic Cosmology
Alignment
Attention
But Is It Neuroscience?
No Introspection
Step by Step
Generality
Single System
Hive Mind
Modalities
Pure Speech
Babel Fish
Testament
Long Tails
In-Context Learning
Mary’s Room
Parity Check
As If
Interlude
No Perfect Heroes or Villains
Evolutionary Transition
Periodization
Transitions
Vulnerability
Pecking Order
Economics
X-Risk
Free Lunch
Utility
Big Tent
Limits to Growth
Tears of Joy
Beyond Alignment
Acknowledgments
About the Author
The Antikythera Book Series
Glossary
Bibliography
Foreword
Blaise Agüera y Arcas
Lessons from AI About
Evolution, Computing, and Minds
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Foreword