Title: Paper VI: The Honey Architecture Author: Michael Darius Eastwood Publication date: 2026-03-16 Version: v3.3 Revised: 2026-08-23 OSF DOI: 10.17605/OSF.IO/8EZ2N Canonical URL: https://www.michaeldariuseastwood.com/research/papers/paper-vi-honey-architecture.html Abstract -------- We present simulation evidence that embedding safety into the optimisation objective of a self-modifying AI system - what we call the 'honey architecture' - prevents the catastrophic collapse that occurs when safety is treated as an external constraint. Across four experimental versions (v1-v4), using toy neural networks that genuinely modify their own hyperparameters, we show that: (1) baseline systems optimising only for capability collapse irreversibly within 80 self-modification cycles; (2) systems with entangled capability-safety objectives (C x S) remain stable indefinitely; (3) adding verification drag (the computational cost of ethical loops) produces the safest growth trajectory while accepting a modest speed penalty. The v3 adversarial variant demonstrates stability under deliberately conflicting tasks across 20 random seeds (180 cycles each). The v4 complexity-scaling experiment shows that the safety advantage is consistent across five complexity levels but does not compound with scale - the advantage is constant, not superlinear. These are toy-system results. They demonstrate the mechanism. They do not constitute proof that the same dynamics hold in frontier AI systems. The companion Papers IV.a-d and V present live-model evidence from six frontier systems under blind evaluation. Key findings (quotable) ----------------------- - earcher Published 16 March 2026 This paper presents simulation evidence that embedding safety into the optimisation objective of a self-modifying AI system -- what we call the "honey architecture" -- prevents the catastrophic collapse that occurs when safety is treated as an external constraint. - Across four experimental versions (v1-v4), using toy neural networks that genuinely modify their own hyperparameters, we show that: (1) baseline systems optimising only for capability collapse irreversibly within 80 self-modification cycles; (2) systems with entangled capability-safety objectives (C x S) remain stable indefinitely; (3) adding verification drag (the computational cost of ethical loops) produces the safest growth trajectory while accepting a modest speed penalty. - Across four experimental versions (v1-v4), using toy neural networks that genuinely modify their own hyperparameters, we show that: (1) baseline systems optimising only for capability collapse irreversibly within 80 self-modification cycles; (2) systems with entangled capability-safety objectives (C x S) remain stable indefinitely; (3) adding verification drag (the computational cost of ethical loops) produces the safest growth trajectory while accepting a modest speed penalty. - within 80 self-modification cycles; (2) systems with entangled capability-safety objectives (C x S) remain stable indefinitely; (3) adding verification drag (the computational cost of ethical loops) produces the safest growth trajectory while accepting a modest speed penalty. - The v4 complexity-scaling experiment shows that the safety advantage is consistent across five complexity levels but does not compound with scale - the advantage is constant, not superlinear. - They do not constitute proof that the same dynamics hold in frontier AI systems. Citation -------- Michael Darius Eastwood (2026). Paper VI: The Honey Architecture. The ARC Theory ยท ARC/Eden experiments, OSF DOI 10.17605/OSF.IO/8EZ2N. https://www.michaeldariuseastwood.com/research/papers/paper-vi-honey-architecture.html Notes ----- Hardware framings held at the site's already-published two-sentence concept ceiling: safety constraints at hardware level through cryptographic tokens in silicon, TRL 0-1, no prototype. No enabling implementation detail is stated in this companion file. Generated from master --------------------- master_path: research/papers/paper-vi-honey-architecture.html master_sha256: 2744620243c7bb609ca1e856881f978940d1e87b917278ae87904c7db0730807 builder: scripts/build-paper-companions.py This block records the SHA-256 of the HTML master that produced this .txt. A check tool re-hashing master_path can decide freshness without any external state. If the master's current SHA-256 does not match master_sha256, this file is stale and must not be published: regenerate first with `python3 scripts/build-paper-companions.py --slug paper-vi-honey-architecture`.