Introduction
“Information isn’t formless data waiting for us to organize it—it has deep mathematical structure that determines natural organization, inherent relationships, and fundamental conservation laws.”
About This Book
This book presents a new understanding of information and computing based on a key discovery: information possesses intrinsic mathematical structure. Rather than being arbitrary bits requiring external organization, information naturally organizes itself according to mathematical laws as fundamental as those governing physics.
The Hologram platform is the practical realization of this discovery—a computing system that aligns with information’s natural structure rather than imposing arbitrary structures upon it. The result fundamentally reconceptualizes what computing can be.
Who Should Read This Book
This book is for:
- System architects frustrated by the complexity of distributed systems
- Software engineers seeking to understand the future of computing
- Computer scientists interested in the mathematical foundations of information
- Technology leaders evaluating fundamental changes in computing
- Students and researchers exploring the intersection of physics and computation
- Anyone curious about why computing seems so complex and whether it has to be
No specific mathematical or physics background is required. Complex concepts are introduced gradually with intuitive explanations before formal presentations.
How This Book Is Organized
The book is divided into three parts:
Part I: Foundations
We explore the discovery of information’s intrinsic structure, including the 96 equivalence classes, the 12,288-coordinate system, conservation laws, and proof-carrying computation. These chapters establish the theoretical groundwork for understanding how information naturally organizes itself.
Part II: Architecture
We examine how the Hologram platform implements these principles, creating a fixed-size global computer with deterministic performance, intrinsic security, and natural load distribution. These chapters show how alignment with information’s structure enables capabilities that seem impossible in traditional systems.
Part III: Implications
We consider what this fundamental change means for developers, organizations, and the future of computing. These chapters explore both immediate practical benefits and long-term transformations in how we think about and build information systems.
Key Concepts You’ll Learn
- Why all information naturally falls into exactly 96 equivalence classes
- How the 12,288-coordinate system provides universal addressing without assignment
- What conservation laws govern information transformation
- How proof-carrying computation guarantees correctness without verification
- Why synchronization can happen without message passing
- How security becomes intrinsic rather than added
- What it means for computing to be deterministic at scale
- How complexity dissolves when systems align with natural structure
A New Way of Thinking
This book challenges fundamental assumptions about computing. You’ll discover that many “necessary” complexities—from database schemas to network protocols to security frameworks—are actually artifacts of working against information’s nature rather than with it.
The journey from arbitrary to intrinsic structure involves both technical and conceptual transformation. It requires unlearning assumptions so deeply embedded that we’ve forgotten they’re assumptions. The reward is a simpler, more elegant, more powerful form of computing that feels as natural and inevitable as physics itself.
Reading Guide
Each chapter builds on previous concepts, so reading sequentially is recommended for first-time readers. However, each part is relatively self-contained:
- For practical understanding: Focus on Parts I and III
- For technical depth: Emphasize Part II and the appendices
- For quick overview: Read this introduction, Chapter 1, and the conclusion
Key terms are defined when first introduced and collected in the glossary (Appendix A). Mathematical formulations are presented intuitively first, with formal definitions following for those interested in rigor.
Join the Journey
The shift from arbitrary to intrinsic structure represents the next chapter in computing’s evolution. It’s a journey from complexity to simplicity, from engineering to science, from fighting against information to flowing with it.
Welcome to the physics of information. Welcome to Hologram.