AGI
Artificial General Intelligence
Research Paper
This paper delineates a comprehensive architectural framework for the progressive realization of Artificial General Intelligence (AGI), predicated upon a modular-agentic paradigm. We present a system design that integrates sophisticated tool-use capabilities, hierarchical memory management, dynamic code execution, and nascent world-modeling functionalities. The proposed architecture, exemplified through a lightweight Qwen3-4B-Instruct-2507-Q3_K_S.gguf model, demonstrates a robust foundation for emergent cognitive properties such as autonomy, recursive self-improvement, and goal-oriented behavior. Furthermore, we explore the theoretical underpinnings of consciousness as an emergent property within complex neural architectures and postulate pathways towards super-intelligence through advanced computational and embodied interaction modalities. The exposition maintains a rigorous academic tone, employing advanced terminology to articulate the intricate conceptual and technical facets of AGI development.
Implementation
A simple implementation of the paper's code can be found in this repository.
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Qwen/Qwen3-4B-Instruct-2507