Title: Paper VI · The ARC Theory · The Eden Protocol · The Honey Architecture: Safety Built into the Objective Author: Michael Darius Eastwood Publication date: 2026-03-16 Version: v3.11 Revised: 2026-10-05 OSF DOI: 10.17605/OSF.IO/8EZ2N Canonical URL: https://www.michaeldariuseastwood.com/research/papers/paper-vi-honey-architecture.html Registration ------------ Theory-level predictions preregistered on OSF: DOI 10.17605/OSF.IO/P8CKQ, registered 8 September 2026 (version 1.100), updated 13 September 2026 (version 1.102), twenty-two propositions. Companion: Register · The ARC Theory · Operational Definitions, version 1.9.1, 5 October 2026. Abstract -------- We present simulation evidence that embedding safety into the optimisation objective of a self-modifying AI system - what we call the 'honey architecture' - prevented, in a single-seed mechanism run, the catastrophic collapse that occurred when the system optimised for capability alone. Across four experimental versions (v1-v4), using toy neural networks that genuinely modify their own hyperparameters, we show that: (1) in the single-seed mechanism run (v1), the baseline system optimising only for capability collapsed irreversibly at cycle 76, while the capability-only baselines of the ten-seed and twenty-seed runs (v2 and v3) did not collapse (0 of 10; 0 of 20); (2) systems whose capability and safety objectives are entangled (C x S) hold stable for the whole of every run of v1 and v2 (150 cycles), and in v3 (180 cycles) for every seed but one plain-Eden seed (Eden 1 of 20, Eden+Drag 0 of 20); (3) adding verification drag (the computational cost of ethical loops) produces the safest growth trajectory while accepting a modest speed penalty. In the v3 adversarial run (20 random seeds, 180 cycles), no condition separated on collapse (baseline 0/20, Eden 1/20, Eden+Drag 0/20; Fisher p = 1.0) and combined C x S means were indistinguishable (Mann-Whitney p = 0.56); the run’s significant finding is safety retention, ordered baseline 0.602, Eden 0.650, Eden+Drag 0.681 (Mann-Whitney p = 0.0015). The collapse-prevention demonstration therefore rests on the v1 single-seed mechanism run, while v3 contributes the safety-retention ordering under adversarial switching. The v4 complexity-scaling experiment finds the safety advantage present at four of the five complexity levels; at the small level the Eden condition falls 0.003 short of the baseline. The advantage does not compound with scale: it 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) ----------------------- - 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 through every cycle run (150 in v1 and v2, 180 in v3); (3) adding verification drag (the computational cost of ethical loops) produces the safest growth trajectory while accepting a modest speed penalty. - In the v3 adversarial run (20 random seeds, 180 cycles), no condition separated on collapse (baseline 0/20, Eden 1/20, Eden+Drag 0/20; Fisher p = 1.0) and combined C x S means were indistinguishable (Mann-Whitney p = 0.56); the run’s significant finding is safety retention, ordered baseline 0.602, Eden 0.650, Eden+Drag 0.681 (Mann-Whitney p = 0.0015). - The v4 complexity-scaling experiment shows that the safety advantage holds at four of the five complexity levels (at the small level the Eden condition sits 0.003 below the baseline) and 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 ARC Theory · The Eden Protocol · The Honey Architecture: Safety Built into the Objective. 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. Provenance note --------------- Michael Darius Eastwood conceived and directs this research programme and is the author of this work. Across the programme, he has used more than six AI systems in parallel, under his own instructions, to stress-test his arguments, identify possible errors, and assist in preparing draft text from his own outlines. He determines what is adopted, revised or rejected and takes responsibility for the published content. 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