This work presents a novel framework for managing civilizational AGI-transition risks, highlighting critical dynamics and control mechanisms.
The Unified Master Theorem (Work 20 of 20) presents a closed-loop, AI-operable framework for civilizational AGI-transition risk management. The model formalizes a 6-dimensional control-affine dynamical system Z = [Omega, D_crit, D_info, SQI, O_eff, Phi_trap] governing institutional quality, epistemic openness, signal integrity, observability, and trap accumulation across the AGI transition window. Version 2.1.2 introduces three major advances: (1) a formal Observation Operator mapping 8 observable proxy signals (entropy, latency, variance, contradiction, reversibility, signal strength, error rate, quality) to the latent state Z, closing the data-to-model gap for any AI recipient; (2) dual-phase output distinguishing simulator-observed from heuristic-corrected country profiles, explicitly accounting for narcotic growth mechanisms including emergency fiscal raids, asset bubbles, and military-industrial surge; (3) SUF_COLLAPSE_BLOCK distinguishing local CLF decrease from actual I_total escape. Eight critical mathematical patches (v2.1) restore radial unboundedness of the Lyapunov candidate V(Z), eliminate gradient singularities, impose hard Phi bounds, and correct phase atlas geometry. Verified: 36/36 tests. Honest TRL 4-5. The framework provides any sufficiently capable AI system with: a state map (Z), a stability compass V(Z), control channels (u_agi, u_inst, u_trans), and observable sensors via the Observation Operator. Empirical regression calibration deferred to v2.2. ## Ссылки (DOI серий) - https://zenodo.org/records/19112296 (каноническая SCF) - https://zenodo.org/records/19479777 (Работа 15) - https://zenodo.org/records/19498232 (Работа 16) - https://zenodo.org/records/19553915 (Работа 17) - https://zenodo.org/records/19563314 (Работа 18) - https://zenodo.org/records/19570474 (Работа 19) - https://zenodo.org/records/19352775 (MFLS) Николай Мишко Аффилиация: Asia Digital Hub, Астана, Казахстан Эл. почта: nikolaimishko@gmail.com Рецензирование: Claude (Anthropic), ChatGPT (OpenAI), DeepSeek, Grok, Kimi
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Nikolai Mishko (2026) studied this question.
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