Why AI should stop seeking truth: Applying Bridge360 Metatheory Model lens
Using Bridge360 Metatheory Model norms, Google Gemini Notebook explores how one may go about governing the tacit ontologies of Jev and Palantir, and how, for good measure, everyone may need to deploy Entropy-Driven Alruism as a norm of AI Governance at large.
"The provided sources detail the Bridge360 Metatheory Model, a philosophical and operational framework designed to govern complex systems ranging from Artificial Superintelligence (ASI) to environmental and social structures. Shifting away from traditional "truth-seeking" paradigms, the model focuses on entropy-bounded navigability to manage systemic risks and ensure stability. It introduces technical protocols like Axiom 19 for admissibility filtering and the ε-spine to keep systems within a functional corridor of order and adaptability. The texts also explore Rule of Inference Memetics (RIM) and Entropy-Driven Altruism (EDA), treating logical reasoning and cooperation as thermodynamic necessities rather than just moral choices. Furthermore, the framework is applied to modern AI research, such as Anthropic’s J-space, to demonstrate how internal machine processes can be audited and governed. Ultimately, these sources propose a scientific foundation of hope by aligning human and machine agency with the fundamental laws of thermodynamics."
Bridge360 Metatheory Model “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,” with “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 Gödel’s Incompleteness 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.” Ergo, the Handshake Protocol within the metatheory model; handshake is the invite to scientists and engineers.
Irony here. Google NotebookLM is still working within truth-seeking intelligence paradigm although it can be prompted to generate analyses using Bridge360 Metatheory Model information space. Ergo, its use of the term “true” and “reality” in its Deep Dive elaborations. Under such circumstances, the term “true” is better considered “admissible,” and the term “reality” is better considered a single entropy geometry that is founded on the presupposition taken axiomatically that demands or pressures of entropy are givens.
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