A Non-Predictive Framework for Life Interpretation in the AGI Era

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Authors: Eun Young Lee
Cited by: 0

Abstract

This document formally declares a non-predictive framework for human life interpretation in the eraof Artificial General Intelligence (AGI). As predictive systems increasingly outperform humans in patternrecognition, optimization, and future projection, traditional meaning systems grounded in destiny, fate,and linear forecasting become structurally unstable.This declaration redefines Saju—a traditional East Asian constitutional typology based on birth-timesymbolic structures—not as a tool for future prediction, but as a present-oriented interpretive map ofhuman tendencies. It integrates this typology with the Pain Kernel Framework (PKF), whose corefunction is decision interruption (non-intervention) and the preservation of human responsibilityunder conditions of uncertainty.This framework does not predict the future, does not prescribe action, and does not substitute judgment.Instead, it returns to the human the fundamental meta-question:“Should this judgment be made now?”

Fields of Study & Subjects

Ethics and Social Impacts of AI Paranormal Experiences and Beliefs Cybernetics and Technology in Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 January 2026