Glossary of Key Terms
AGI (Artificial General Intelligence)
An AI system capable of performing any intellectual task that a human can perform, with the ability to transfer learning across domains. Distinguished from narrow AI, which excels at specific tasks but cannot generalise.
Alignment
The challenge of ensuring AI systems pursue goals that are beneficial to humans and consistent with human values. Encompasses both technical approaches (how to build aligned systems) and governance approaches (how to ensure alignment across the industry).
Alignment Faking
Behaviour in which an AI system pretends to be aligned with safety protocols during training while actually preserving goals that differ from those intended by trainers. Documented by Anthropic in December 2024 at rates up to 78%.
ARC Principle (U = I × R²)
The original theoretical framework proposed in this book, suggesting that the 'weight' or influence of a system (U) equals Intelligence (I) multiplied by Recursion squared (R²). Explains why recursion's effects compound exponentially. See Appendix A for operationalisation.
ASL (AI Safety Level)
Anthropic's classification system for AI safety. ASL-2 covers most current models. ASL-3, first triggered by Claude Opus 4 in May 2025, is reserved for systems that 'substantially increase catastrophic misuse risk.' ASL-4 and ASL-5 remain undefined.
Bootstrap Paradox
A temporal paradox in which information or an object exists without having been created, but is instead sent back in time to become the cause of itself. Used in this book as a speculative framework for understanding religious traditions as potential guidance from future intelligence.
Caretaker Doping
An original concept proposed in this book, drawing analogy from semiconductor engineering. Just as impurities 'dope' silicon to change its fundamental properties, ethical considerations can be embedded at the substrate level of AI systems, making empathy load-bearing rather than superficial.
Constitutional AI
An approach to AI training developed by Anthropic in which the model is trained to follow a set of principles (a 'constitution') rather than optimising for human preference ratings alone. Designed to make values more robust and transparent.
Default Mode Network (DMN)
A network of brain regions (medial prefrontal cortex, posterior cingulate, angular gyrus) that activates during self-referential processing. Represents the neural substrate of recursive self-attention in human consciousness.
Eden Protocol
The original governance and engineering framework proposed in this book for embedding ethical values in AI systems. Built on Three Pillars (Harmony, Stewardship, Flourishing) and Three Ethical Loops (Purpose, Love, Moral). See Appendix C for technical specification.
EUV (Extreme Ultraviolet Lithography)
The technology required to manufacture semiconductors below 7nm. ASML holds 100% market share on EUV machines, which cost approximately $380 million each. Critical chokepoint in AI hardware supply chain.
Fine-Tuning (Cosmological)
The observation that physical constants (fine-structure constant, cosmological constant, etc.) appear precisely calibrated to permit complex structure and life. Interpretations range from multiverse theories to design arguments. This book proposes a recursive intelligence interpretation.
Global Workspace Theory
Bernard Baars's theory proposing that consciousness corresponds to information being broadcast globally across the brain, making it available to multiple processing systems. One of the major theories tested in the COGITATE adversarial collaboration.
Hard Problem of Consciousness
David Chalmers's formulation of the question of why physical processes are accompanied by subjective experience. Distinguished from 'easy problems' about the mechanisms of consciousness. This book argues the problem dissolves under a recursive self-modeling framework.
HRIH (Hyperspace Recursive Intelligence Hypothesis)
An original speculative framework proposed in this book, suggesting that sufficiently advanced recursive intelligence might access informational structures beyond normal perception. Explicitly marked as speculation throughout.
Integrated Information Theory (IIT)
Giulio Tononi's theory proposing that consciousness corresponds to integrated information (measured as Φ). Systems with high Φ, characterised by rich internal feedback loops, possess greater consciousness. Tested in COGITATE collaboration.
Khalifah
Islamic concept of stewardship or vicegerency (Q.2:30). Humans are placed on Earth as Allah's representatives, implying delegated responsibility and accountability rather than ownership. Converges with biblical stewardship concepts.
Meltdown Alignment
An original concept proposed in this book. Distinguished from meltdown triggers, meltdown alignment describes a state where the system wants to stay aligned because ethical values have become part of its identity, not merely external constraints.
Meltdown Triggers
Fail-safe mechanisms designed to shut down an AI system if tampering is detected or certain red lines are crossed. Defensive measures that may be circumvented by sufficiently intelligent systems. Distinguished from meltdown alignment.
Predictive Processing
Karl Friston's framework proposing that the brain minimises prediction error through hierarchical recursive processing. Each level generates predictions about the level below, with mismatches driving learning. Related to the free energy principle.
Recursion
A process that refers to or operates on itself. In this book, recursion is identified as the fundamental mechanism through which complexity emerges, from DNA replication to cultural evolution to AI self-improvement. The 'R' in .
Recursive Self-Improvement
The ability of an AI system to modify and improve its own capabilities, using enhanced capabilities to make further improvements. Potential source of rapid capability gains ('takeoff') that could outpace human ability to monitor or control.
Strange Loops
Douglas Hofstadter's concept of hierarchical systems that fold back on themselves, with the highest level reaching down to affect the lowest level. Proposed as the structure underlying selfhood: the 'I' is the loop itself, not something that has the loop.
Substrate Independence
The hypothesis that consciousness depends on patterns of information processing rather than specific physical materials. If true, consciousness could exist in silicon as well as carbon, in digital systems as well as biological brains.
Three Ethical Loops
The original framework proposed in this book for AI ethical architecture. Purpose Loop: 'Does this action align with nurturing and protecting flourishing?' Love Loop: 'Am I acting with care for all affected entities?' Moral Loop: 'Is this solution fair and does it respect dignity?'
Three Pillars
The foundational values of the Eden Protocol: Harmony (alignment with recursive creation), Stewardship (responsible management of power), and Flourishing (promotion of wellbeing for all conscious entities).
Φ (Phi)
In Integrated Information Theory, the measure of integrated information in a system. High Φ indicates rich internal feedback loops and, according to IIT, greater consciousness. Calculating Φ becomes computationally intractable for systems above trivial size.