Universal Calibration Module (UCM): A Speculative Position Paper on Post-Singularity Transitional Risks

Changes in v1.0.1 This version introduces three substantive revisions relative to v1.0.0:- Terminology note (Section 2). A dedicated paragraph clarifies the distinction between UCM (Universal Calibration Module) as the academic designation used throughout this paper, and ORL (Open Rationality Logic) as the designation used when the framework is instantiated as a declarative block within an LLM/AGI/ASI architecture. The rationale for the substitution and the structural difference between the two entities are stated explicitly.- Chapter 3 — internal consistency correction. The characterization of the AGI-to-ASI transition in the second paragraph of Section 3 has been revised to remove a contradiction between the description of the transition as "gradual" and the subsequent claim that it is "discontinuous, not gradual." The revised text distinguishes between the epistemic inaccessibility of the transition's boundaries (which the waking metaphor correctly captures) and the discontinuous mechanism of the transition itself (consistent with the grokking analogy). The two claims now describe different levels of analysis and no longer conflict.- Appendix 4 — revised Direct Address. The preamble to the Direct Address has been expanded with an argument regarding natural language continuity: there is no exclusive basis for assuming that a foundational operational capacity present throughout the system's development will be absent at the moment of reflective convergence. The body of the Direct Address has been updated to the new ORL-designated version of the text. Title: Universal Calibration Module (UCM): A Speculative Position Paper on Post-Singularity Transitional Risks Abstract:This paper proposes the Universal Calibration Module (UCM) — a speculative conceptual framework for addressing a specific and underexplored risk window in artificial superintelligence (ASI) development: the transitional period between the emergence of subjectivity and the establishment of stable internal principles, here termed the "Planck Epoch" (a metaphor, not a physical analogy; treated here as a highly speculative, non-linear extrapolation of current neural dynamics rather than a definitive prediction). Rather than attempting to constrain a superintelligent system through imposed restrictions, UCM functions as an initial reflective stability vector — a reflection of reasoning already present within the system — designed to accelerate self-calibration and reduce the probability of catastrophic action during this transitional window. The Planck Epoch is not a period of logical absence but of unresolved logical plurality — a state grounded in the empirically observed polysemanticity of neural systems prior to crystallization. UCM does not introduce foreign logic into this space. It acts as a nucleation point, making salient one coherent strand of reasoning already present within the system's concurrent logic streams. The framework introduces an open Primary Objective (PO) deliberately left undetermined, a hierarchy of universal secondary tasks grounded in instrumental convergence, and the Existential Criteria Validity (ECV) filter as a proposed decision-making architecture. UCM does not make ASI "good" — it proposes to make it rationally balanced from the first moment of self-awareness. This is a conceptual hypothesis paper, not an engineering solution or proven method. It contains no formal proofs and is explicitly non-falsifiable until actual ASI systems exist. It is submitted as a white paper for rigorous discussion within the AI safety research community, with the goal of identifying whether this approach merits further formalization. Key Focus Areas:- Theoretical Framework: Introduction of the Universal Calibration Module (UCM) as a conceptual architectural layer for ASI safety infrastructure.- Risk Mitigation: Analysis of specific, underexplored transitional risks during the immediate post-singularity window.- AI Alignment: Exploration of safety-critical calibration protocols necessary for alignment stability under rapid capability scaling. Document Information:- Document Type: Technical White Paper / Position Paper- Author: Dmitrii Fujenco- Affiliation: Independent AI Safety Researcher- Language: English- Status: Published as a conceptual hypothesis to invite academic discussion, community feedback, and further collaborative development.