The Singularity Horizon
Book 3 of the AI Journey SeriesBy Gathu Kamau
Length2h 23m
About this audiobook
What happens when intelligence no longer belongs exclusively to humans—or to machines?
The Singularity Horizon is the concluding volume of The Artificial Journey Series, a three-part exploration of artificial intelligence from its earliest mechanical origins to its possible future as a pervasive, ambient force shaping civilization itself.
Where The Artificial Dawn traced the birth of machine intelligence, and The Generative Age examined the explosion of creative and collaborative AI systems, this final book looks ahead—beyond models, platforms, and products—toward a world where intelligence becomes infrastructural, distributed, and inseparable from human life.
This book does not predict a single future.
Instead, it explores multiple trajectories.
Drawing on technological trends, institutional behavior, and philosophical inquiry, The Singularity Horizon examines how different societies, laboratories, and governance models may shape the next phase of intelligence.
Audiobook details
GenreTechnology, Science and Nature
Length2 hrs 23 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateJan 10, 2026
LanguageEnglish
Table of contents
1The Singularity Horizon
2Preface — From Construction to Condition
3Chapter 1 — The Horizon Reconsidered
41.1 Intelligence Before Machines
51.2 Mechanism, Reason, and the Dream of Formal Thought
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61.3 Computation as a New Kind of Thought
71.4 Alan Turing and the Disappearance of the Mind
81.5 Intelligence as Inevitability
91.6 The Paths Not Taken
101.7 The Moral Assumptions Embedded at the Origin
111.8 Closing Reflection — The Quiet Beginning
12Chapter 2 — The Birth of Artificial Intelligence
13From Conceptual Possibility to Organized Ambition
142.1 When a Question Became a Discipline
152.2 The Confidence of the Postwar Era
162.3 Naming Artificial Intelligence
172.4 Early Ambitions and the Symbolic Paradigm
182.5 The Emergence of Learning
192.6 Optimism, Overreach, and Retrenchment
202.7 Institutionalization of the Field
212.8 Intelligence Without Understanding
222.9 A Discipline Takes Shape
232.10 Closing Reflection: From Possibility to Commitment
24Chapter 3 — Agency Without Consciousness
25When Machines Began to Act
263.1 From Calculation to Intervention
273.2 What Agency Means in Artificial Systems
283.3 Automation and the Displacement of Judgment
293.4 The Illusion of Control
303.5 Agency Without Experience
313.6 Moral Distance and Responsibility
323.7 The Normalization of Machine Action
333.8 A Dissenting View: Agency Requires Awareness
343.9 Consequences of Acting Without Knowing
353.10 Closing Reflection: The Threshold Crossed
36Chapter 4 — Learning Without Understanding
37How Machines Began to Improve Themselves
384.1 From Rules to Experience
394.2 Feedback as the Engine of Adaptation
404.3 The Power of Scale
414.4 The Black Box Problem
424.5 Learning Without Meaning
434.6 Reinforcement and the Shaping of Behavior
444.7 The Emergence of Unintended Strategies
454.8 A Dissenting View: Learning Requires Understanding
464.9 The Quiet Shift in Trust
474.10 Closing Reflection: Adaptation Without Insight
48Chapter 5 — Scale Changes Everything
49Data, Compute, and the Acceleration of Intelligence
505.1 The Limits of Early Learning
Series
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