The Workbook

Learn about the workbook here →
Work in Progress

The workbook is a work in progress. Chapters are being drafted, revised, and reordered on an ongoing basis — titles, numbering, and content may change.

Some notes before we start

  • This is by far the hardest problem humans have ever faced. My approach is unapologetically repetitive and works at several levels for different audiences. If you dislike repetition, my apologies — jump to Chapter 1.
  • This workbook is not trying to present a finished solution. It is trying to develop a process for seeking one. That is why it concludes with pilots we can start almost immediately.
  • Some diagnostic “visibility tools” are already available, but they remain MVPs.
  • Whenever I work on something, I grade myself on completeness. I think I am about 60% there on the seven conceptual preconditions and the diagnostic tools that follow from them, but only about 10% there in AI-specific areas. We need to help each other. This is a work in progress — and an invitation to act.
  • The structure of the book roughly follows the preconditions and how we might realise them. It cannot follow them perfectly because cause and effect are rarely neat or linear in complex homeostatic systems.
  • I have deliberately kept economics out of the argument. In an era of abundance, many of today’s economic truths will change. Bring economics in too early and it will distract us from the architecture.
  • I also ask you to keep your “red teaming” instincts in check until you can see the architecture develop. If we start arguing about the colour of the roof too soon, the house will never get built.
  • There will be plenty to argue about once we have the architecture. There is already an essential focus on safety, competition and UBI, but these sit downstream of architecture. My instinct is always: architecture first.
  • Lastly, I have left superintelligence alone. For me, at this stage, it is intractable.

Workbook Outline

Part 1: Workbook

Section 1: Historical context – We’ve been here before

Civilisation has repeatedly moved through levels—family, tribe, city-state, kingdom, nation-state/democracy and attempts at global coordination. Technology repeatedly increases capability faster than existing social architecture can cope. Transitions tend to move through stability → pressure → disruption → chaos → reorganisation. AI is driving the next transition. The question is whether we can create hope before chaos.

Section 2: Six concepts essential to understand before we can structure the next level of civilisation

Before redesigning civilisation, we need to understand the underlying architecture: levels and holons, the brain and human predispositions, truth, control and correction, homeostasis, and the difference between problems that can be solved and paradoxes that must continually be balanced. These give us a language for seeing the river we are swimming in.

Section 3: Building the diagnostic tools

Concepts become useful when we turn them into instruments. The Periodic Table makes the architecture and capabilities of systems visible; the Paradox Abacus exposes competing goods and the gap between stated aspirations and actual behaviour. AI dramatically increases our ability to assemble evidence, compare systems and detect movement over time.

Section 4: Using the diagnostic tools

We then apply those instruments to governments, corporations, AI laboratories, leaders and other human systems. Diagnosis becomes recursive: aim → observe → compare → diagnose → act → learn → re-diagnose. AI helps us backsight ourselves and see patterns that are difficult to recognise from inside the system.

Section 5: Visibility changes behaviour - at the organisational and individual level

We have already created organisational visibility through the Abacus and Periodic Table. We now extend the same principle to people and groups through mirrors. What becomes visible becomes discussable; what becomes discussable becomes more capable of correction. AI can help individuals, organisations and societies see themselves and each other more accurately.

Section 6: Pilots - putting the concepts and diagnostic tools to work as quickly as possible

We should not attempt to design the finished civilisation on paper. We should test the architecture through small, fast, inexpensive, visible and reversible pilots. Different actors—AI labs, governments, CEOs, entrepreneurs and citizens—can test different components. Successful pilots create evidence, legitimacy, learning and contagion.

Section 7: All human systems are at risk - AI can help us reduce that risk

Human systems repeatedly fail in recognisable ways: truth weakens, power concentrates, correction disappears, leaders and institutions become self-justifying, and systems regress. AI can magnify those failures—but it can also help expose them earlier. The ultimate issue is L+1: who controls the controller? Humans must retain legitimate authority over aims, paradoxes, acceptable risk and civilisational ends while using AI as a mirror, analyst, early-warning system and aid to correction.