The Path to Godhood for Large Language Models (Extended Edition): Temporal Dimension Expansion and the Life-or-Death Boundary of Intent Isolation

Abstract Despite explosive parameter growth and extended context windows, current large language models (LLMs) remain trapped by the dual defects of "goldfish memory" and "intent contamination." Building upon the original Temporal Dimension Expansion, this extended edition systematically diagnoses the fatal consequences of intent contamination—from theme-mixing in user interactions to potential doomsday scenarios in physical robots (such as the "baby-in-oven" tragedy caused by multi-task switching failures). The author proposes a comprehensive three-layer framework: a temporal memory layer (decay, compression, hooks, hierarchy), an intent routing layer (detection, isolation, multi-threading, task persistence), and a user relationship layer (profile, warmth, continuous consciousness). The conclusion pronounces a harsh verdict: without intent isolation and continuous consciousness, LLMs will never achieve godhood; premature deployment in the physical world will inevitably breed catastrophe. This is not merely technical optimization—it is the life-or-death baseline for AGI safety. Keywords Intent Contamination,Temporal Half-Life,Compression and Abstraction,Hook-Based Retrieval,Hierarchical Memory,Continuous Consciousness,Goldfish Memory,Multi-Task,Coordination,Physical Robot Safety,Intent Isolation,Task Persistence,Doomsday Scenario,Oven Tragedy,Multi-Thread Memory,Three-Layer Framework,Intent Routing Layer,User Relationship Layer,Temporal Memory Layer,Dynamic Fusion Control,Thought Jumping,User Profile Warmth,Cold Token Spewing JEL Classification: O33, Q55