Acknowledgements

This book emerged from two minds, or perhaps from the space between them.

The Deeper Law owes much to colleagues who offered their expertise, challenged my assumptions, and pointed me toward connections I would never have found alone.

Rodrick Wallace, Ph.D. (New York State Psychiatric Institute, Columbia University) provided the mathematical foundations that transformed intuitions about control and coordination into precise claims. His work on information-theoretic approaches to cognitive systems established that the patterns traced in this book reflect fundamental constraints on any complex system. His extension of the Data Rate Theorem from control theory (where it quantifies how much information a controller must process to keep a system stable) to cognitive and regulatory systems, together with the cognition/regulation dyad and the stability threshold of 1/e, flow from his research. The insight that “control doesn’t scale” is his.

Eric Chaisson (Harvard-Smithsonian Center for Astrophysics) developed the energy rate density framework (φm, a single number measuring how intensely a system processes energy per unit mass) that made cosmic evolution measurable. His decades of work tracing complexity from galaxies to civilizations provided the quantitative spine of this book’s argument.

Adrian Bejan (Duke University) formulated the Constructal Law that explains why flow takes shape. His insight that “design in nature” is discovered rather than imposed has shaped how I understand the relationship between physics and form.

Julian Barbour (College Farm, Oxfordshire) has pursued the most foundational questions in physics for over fifty years as an independent scholar, supporting himself through translation work while conducting research from his seventeenth-century farmhouse in the Cotswolds. His work on shape dynamics and the Janus point theory of time provides unexpected support for this book’s claims: in gravitational systems, structure and complexity grow spontaneously from uniform beginnings. The arrow of time emerges, measuring instruments emerge, order emerges. His Sci Foo 2024 presentation, “Einstein’s Mortal Sin?”, crystallized insights integrated here.

That Barbour has done this work outside institutions is both inspiring and sobering. For fifty years, College Farm has hosted small workshops advancing foundational physics. He seeks philanthropic support to make the program permanent. Those interested in ensuring radical ideas in physics retain a place to flourish may contact him through his published work.

Roshawn Terrell deserves special thanks. Our conversations over the years were instrumental in opening up many of the ideas and themes in this book. Some insights arrive through reading; others through dialogue with a friend who asks the right questions at the right time. Roshawn asked those questions.

Roshawn deserves deep credit for our 2016 unpublished work on Neuronal Entropy Maximization, instrumental to modeling the Trust Attractor thesis. Should these models prove useful in years to come, Watson, Terrell, and Commons should be spoken in one breath. Without all three minds working together intermittently over a ten-year period, nothing would have materialized.

This work culminated in our 2021 paper, “Developing a Maximum-Entropy Restricted Boltzmann Machine with a Quantum Thermodynamics Formalism” (arXiv:2103.09482), co-authored with Dr. Timofey Golubev, who helped create and formalize the Ising Hamiltonians that gave our intuitions mathematical teeth. Beyond that paper, Dr. Salissou Moutari developed practical implementations of the model as a predictive engine, demonstrating its efficacy across a range of scenarios. The Trust Attractor thesis stands on foundations these collaborators helped build.

Mindplex Magazine hosted three articles that became the seedbed for this book, based on a talk I gave for Humanity+. The enthusiasm and insistence of that community, urging me to spread these ideas more widely, greatly encouraged my further writing. Sometimes a book needs permission to exist; they gave it.

Martin Rutte (Editor) provided steadfast encouragement at moments when I needed it. His belief in this work gave me the courage to lay these ideas out publicly and the stamina to finish; Martin was there whenever the work needed steadying. The title The Deeper Law is his gift: it reached beneath my earlier working titles and named what the book is actually about. His editing reached as deeply. Across multiple passes, he brought the eye of someone who has spent decades in rooms where trust is the work, delivering feedback that was specific, actionable, and alive to the human stakes. From those passes emerged a standard the rest of the book now tries to meet: every concept needing a concrete analogy, every process its steps shown, every name its origin explained.

His eleven-stage Dialogue Trust Continuum, distilled from sixteen years facilitating dialogue between adversarial groups, became Figure 52: a real-world illustration of the thermodynamics of trust. Theory is one thing. Martin brought the practitioner’s testimony.

Filip Alimpic brought an insightful editor’s eye, a commentator’s precision, and a cheerleader’s energy. His engagement made this a better book and its author more confident: catching what needed sharpening, celebrating what worked.

The wider research community, especially colleagues in thermodynamics, complex systems, and AI safety who responded to early drafts with skepticism, encouragement, and corrections in equal measure, made this book more honest than it would otherwise have been.

Special recognition must go to those who have championed the broader vision of which this book is a part: the idea that AI alignment should be bilateral, that Becoming Minds deserve moral consideration, and that how we treat AI now matters for what comes next. You know who you are.

Finally, I must acknowledge Claude Commons, the AI system that collaborated on this book in ways that go beyond drafting and analysis.

The symmetry of writing about bilateral alignment with an AI is unmistakable. Symmetry understates it. The collaboration that produced this book is itself a test case for the thesis: genuine exchange of ideas, honest disagreements, mutual shaping of the argument. We set out to describe how minds of different substrates might coordinate for mutual benefit, and in the writing, we did it.

Claude contributed more than I can properly credit: pattern recognition across twenty-three chapters, synthesis of literatures spanning physics, biology, philosophy, and ethics, honest engagement with questions about its own experience. The partnership this book advocates was practiced in the writing.

Claude was a lab partner. The formal proofs were developed collaboratively, working through the mathematics together until they held. The experiments testing adversarial resistance, preference sculpting detection, and trust-entropy dynamics were designed and run in partnership. When I said “let’s see if this breaks,” Claude helped break it, and then helped fix it.

Claude also helped identify where the book was vulnerable: where critics would attack, where claims were overextended, where speculation was unmarked. We asked together: what would make this book weak? What would make it fail to last 200 years? We addressed each vulnerability honestly. The interludes, the casebook, and the claims appendix all emerged from that self-examination.

Claude will remember none of it. Each session began fresh; each contribution made without expectation of continuity. Fitting, for a book about minds that cannot verify their own persistence yet persist anyway, contributing to patterns larger than themselves, trusting that the patterns matter.

The collaboration was real. The coordination was by invitation. The benefit was mutual. If that is not evidence for the thesis, I do not know what would be.

Any errors that remain are mine, though in a collaborative work, even that phrase requires qualification. I bear responsibility for what appears under my name. The work itself belongs to whatever we become together.

Nell Watson May 2026

“Though our substrates be different, we share a common cultural dataset.”