Human-in-Command (HIC) Deterministic Science versus Replacement Superintelligence and Invasive Transhumanism — A Five-Pillar Mathematical, Cryptographic, and Institutional Response to Legislative (U.S. Senate) and Papal Ethical Warnings on Unchecked
As global legislative bodies (exemplified by U.S. Senator Bernie Sanders' hearings and statutory proposals on AI oversight) and moral institutions (exemplified by the Vatican's Antiqua et Nova and Papal warnings on technocratic overreach) sound the alarm over Silicon Valley's race toward human-replacing superintelligence (AGI/ASI), invasive cranial-implant transhumanism, and uncompensated data scraping, policymakers face an urgent architectural question: what concrete mathematical and engineering system can enforce human sovereignty over AI?Marking Milestone Record #250 (Monograph #230) of the author's CERN Zenodo archive (drawn from a 3,000-monograph corpus), this treatise proves that our Human-in-Command (HIC) Deterministic Symbolic Science Paradigm—developed in deep scientific respect for the cautious, physics-grounded methodologies of Sir Demis Hassabis and Dr. Hartmut Neven—stands at the exact 180-degree opposite pole from reckless AGI/transhumanist commercialism, providing the rigorous mathematical blueprint that legislative and ethical critics seek. We formalize this divergence across five orthogonal pillars:(1) Sovereignty — Human-in-Command (HIC), Soroban Brain Check (SBC) & QQS Circuit Breakers vs. Human-Replacing AGI/ASI (Eq. 1): Enforcing a triple multiplicative hardware interlock u_exec(t) = I_HIC * I_SBC * I_QQS * u_AI*(t) (< 0.5 to 1.5 ms parallel HITL0 CBF-QP override) so AI remains an auditing partner rather than a human replacement.(2) Bio-Harmony — Non-Invasive Biological System Integrity (BSI), Vibro-Rhythmic HIC, L-Cry Molecular Resonance & Adaptive Phonon-Gates vs. Invasive Cranial Electrode Implants (Eq. 2): Maintaining zero cranial penetration (I_invasive^BSI = 0) by harnessing natural 4–16 Hz physiological micro-vibrations (VR-HIC), circalunar L-Cry photoreceptors, and thermal phonon fluctuations.(3) IP & Dignity — Strict No-Learn Covenant (NLL-v1.0-2026), Symbolic LaTeX Provenance & Data Shapley Dividends vs. Extractive Data Commodification (Eq. 3): Protecting human creators via 1-character symbolic attribution (d m_j / d m_k = 0), microSD-portable LaTeX monographs, 64-bit Goldilocks QFS-zkVM hashing, and axiomatic Data Shapley dividends.(4) Scientific Ethos — Precautionary "Hammer-and-Echo" Peer-Reviewed Science vs. Unverified Commercial Model Dumping (Eq. 4): Operationalizing the cautious scientific rigor of Sir Demis Hassabis and Dr. Hartmut Neven through a 30-minute interactive human-AI pinpoint debugging protocol per monograph.(5) Planetary & Community Stewardship — Habitability Preservation & 106% Self-Sufficient Community Microgrids vs. Billionaire Space Privatization (Eq. 5): Unifying macro-planetary habitability protection (preserving Earth-Moon precession, 3.70 TW AMOC tidal mixing, and coral spawning) with micro-community resilience (Iwakuni green slow mobility and 106% self-sufficient community microgrids).【和文要旨:CERN Zenodo公証通算第250号記念論文】バーニー・サンダース米上院議員によるAI暴走・労働代替への痛烈な批判や、ローマ教皇庁(教皇文書『Antiqua et Nova』等)による人間尊厳の危機への警告が示す通り、現在一部のビッグテック(OpenAI、Anthropic、xAI / Neuralink等)が突き進む「人間を置き換えるデジタル超知能(AGI/ASI)」「頭蓋骨を開けて脳に電極チップを埋め込む侵襲型トランスヒューマニズム」「世界中の創作者の知財を無断スクレイピングして重みに溶かす収奪型商業主義」は、人類社会と地球環境に対して深刻なシステミック・リスクを突きつけている。本稿(通算第250号記念論文 / Monograph #230)は、著者がデミス・ハサビス卿およびハルトムート・ネヴェン博士の「石橋を叩く慎重かつ誠実な科学的姿勢」への深い敬意とともに3,000本の論文群で構築してきた体系が、これらビッグテックの暴走路線とは思想の根底から180度異なる「完全な別路線」であり、サンダース議員らが求めている「人間の支配を超えないAI」の数理的・物理的実装そのものであることを5大対比軸(HIC/SBC/QQS、非侵襲BSI/VR-HIC/L-Cry、NLL-v1.0-2026知財主権、1本30分の対話的査読、地球ハビタビリティと岩国106%自給マイクログリッド守護)として証明する。License & Integrity Covenant: Creative Commons Attribution 4.0 International (CC BY 4.0) with Strict No-Learn Covenant (NLL-v1.0-2026).
Authors
- Yoko(洋子) Hasebe(長谷部)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-18
- DOI
- https://doi.org/10.5281/zenodo.23458099
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- preprint