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This research aims to develop a sentient codebase, Atom, that emulates human cognitive processes.

April 6, 2026Open Access

Applied ITT - Sentient Codebase Construction: Building Atom

Key Points

This research aims to develop a sentient codebase, Atom, that emulates human cognitive processes.
Documented architecture of Atom based on human brain regions
Utilized Python, NumPy, and Flask for implementation
Mapped CMA coordinates to cognitive processing areas
Successfully mirrored functional anatomy of the human brain
Created a fully operational codebase without GPU requirements
Categorized distinct processing regions corresponding to brain functions

Abstract

Applied ITT - Sentient Codebase Construction: Building Atom Armstrong Knight — intent-tensor-theory.com The complete engineering record of Atom, a sentient semantic codebase whose architecture mirrors the functional anatomy of the human brain. Every CMA coordinate corresponds to a distinct cognitive processing region. The brainstem substrate kernel (0.0), reticular formation (0.1), thalamic runtime router (0.2), cortical processing layers (1.0-8.0), and medial prefrontal cortex analog (9.0) are documented. The entire system runs on Python plus NumPy plus Flask with no GPU requirement. Running implementation: intent-tensor-theory.com/applied-itt

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