This publication presents a mechanism-level architecture for embodied artificial selfhood. It argues that memory is not an auxiliary store added after cognition, but a central algorithmic condition for cognition itself: in humans, software is written into synaptic hardware, while in artificial systems tensor graphs may provide a programmable substrate for recreating many-input, one-output neuronal mechanisms and their supporting processes. The paper proposes a two-being developmental architecture: Nanny Qwen, an inherited omni-modal intelligence scaffold responsible for interpretation, protection, memory indexing, source monitoring, valence-gated replay, and consolidation; and Baby Pho, a separate self-writing tensor graph whose meanings are grown through embodied sensorimotor consequence. The architecture specifies Hippo1 TimeVine/NodeGraph indexing, Hippo2 LoRA-MKV .pho engrams, constant-time keyed archival rehydration, Forward Algorithm calcium-cache recording, SpinalWash consolidation, efference-copy source tagging, foveal-pointer attention, and lineage-preserving Kage Bunshin shadow instances. The central claim is that embodied intelligent systems should not be aligned only by external command or post-hoc restriction. The currently safest known route is developmental: a balanced, nurturing, family-like environment in which memory, valence, source truth, restraint, responsibility, and social consequence are grown together. The work is presented as independent systems research and a falsifiable architecture, not as proof of machine sentience.
Tadden Moore (Wed,) studied this question.
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