AGЪDAU: An Ontological Growth-Only Principle for Safe and Energy-Efficient Artificial General Intelligence

Abstract
This work introduces AGЪDAU, a foundational ontological principle for artificial intelligence systems, defining a growth-only admissible action space. Unlike policies, reward shaping, or post-hoc safety filters, AGЪDAU constrains intelligence at the level of ontological possibility, excluding non-constructive actions from existence within the system’s decision space.

The principle is formally defined, mathematically structured, and accompanied by provable theoretical consequences concerning computational complexity, energy efficiency, and intrinsic safety. AGЪDAU is voluntarily disclosed as an open foundational principle for the benefit of humanity, while preserving authorship, priority, and the right to protect derivative implementations.

Contents

• PDF (canonical disclosure)

• TXT (plain-text archival copy)