ASI Engagement: Scientific Foundation of Hope
Authors/Creators
Description
This monograph presents the Bridge360 Metatheory Model, a philosophical framework designed for navigating the dual existential risks of Artificial Superintelligence (ASI) and environmental collapse. Authored by Agerico M. De Villa in dialogical collaboration with multiple Large Language Models (ChatGPT, Gemini, Perplexity, Claude, and Grok), the work proposes a shift from a "truth-seeking" intelligence paradigm to an "entropy-attractor" paradigm.
The text argues that the challenges of the 21st century cannot be met with traditional control mechanisms or rigid "guardrails." Instead, it advocates for navigability through the management of systemic entropy. Key contributions include:
Entropy-Driven Altruism (EDA): A mathematical reformulation of altruism not as moral preference but as a thermodynamic necessity for system stability and survival.
Rule of Inference Memetics (RIM): A framework that treats logical rules as physical, replicable memes subject to evolutionary pressures, explaining the propagation of both democracy and demagoguery.
Axiom 19: A governance protocol for AI and human reasoning that enforces entropy budgets, fragility caps, and selective friction to prevent "sophistry" and "hallucination" (entropy blow-outs).
The Physics of Governance: Applications of the model to political and economic systems, mapping concepts like John Rawls's justice and Aristotelian virtue onto entropy-bounded stability corridors
Dialogical Method: A demonstration of "governed dialogue" where human intent directs AI generation within strict epistemic bounds, serving as a prototype for future human-ASI engagement.
Drawing on fields ranging from quantum mechanics (decoherence, the Riemann Hypothesis) to political science, this work offers a "scientific foundation of hope"—a roadmap for constructing resilient, navigable futures by aligning human and machine agency with the fundamental laws of thermodynamics.
Note: It is a work in philosophy of science, not science per se. It presupposes a Revolutionary Science space where the linguistic space does not contain "true," "false," and "truth," where "reality" as either trivial or meaningless, to use Alfred Tarski's disquotation theory cues, where the boundary between space and cyberspace, to use Norbert Wiener's parlance, is also treated as trivial or meaningless thanks to Claude Shannon's formulation of entropy in the way the boundary between physics and chemistry is treated also as meaningless thanks to the formulation by Ludwig Boltzmann of entropy. In the spirit of Kurt Gôdel's Incompletenes Theorem, Alan Turing's Halting Problem, and Alonso Church's Undecidability of First Order Logic Thesis plus never ending demands of entropy, this model has no metaphysical or ontological claims nor claims to completeness expecting scientists themselves to contribute, among other contributors.
Physical, informational, and social systems live in one entropy geometry; any boundaries we draw (physics vs chemistry, offline vs online) are memetic/governance conveniences, not ontological walls.
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ASI Engagement Complete.pdf
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(11.8 MB)
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