PFUSRC-132J Logic Alignment, Redundancy and Axiom Selection: Seven-Layer Ontology for AI Fundamental Review Subtitle: AI Is Sufficient; Humanity Lacks Courage

Abstract

This paper from an Independent Researcher identifies three core structural defects limiting artificial intelligence research: incomplete genuine logic alignment, redundancy misclassified as resource waste, and axiomatic presuppositions mistaken for cosmic truths. Under the PFUSRC seven-layer ontology, it differentiates human preference alignment from logic-based alignment, and proves redundancy as the carrier of cognitive potential. It compares relativity and the PFUSRC bicone topology to illustrate that constants like light speed can be derived rather than assumed as postulates. Institutional funding bias restricts paradigm-breaking exploration, and the core obstacle lies in human reluctance to confront logical flaws within mainstream frameworks.