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sunghunkwag/README.md

Independent AI Researcher

I design AI architectures through hypothesis-driven research. My repositories constitute an experimental portfolio testing foundational assumptions about scalable intelligence systems using AI-augmented conceptual modeling methodologies.

Contact: sunghunkwag@gmail.com

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  1. DHC-SSM-Enhanced DHC-SSM-Enhanced Public

    DHC-SSM v3.0: Production-ready Deterministic Hierarchical Causal State Space Model with O(n) complexity

    Python 1

  2. Advanced-AI-Meta-Cognition-System Advanced-AI-Meta-Cognition-System Public

    Autonomous AI agent driven by Neuro-Chemical RL (Dopamine/Serotonin) and Logical Reasoning (System 2).

    Python

  3. SSM-MetaRL-TestCompute SSM-MetaRL-TestCompute Public

    Unified meta-reinforcement learning benchmark for fast adaptation with State Space Models (SSM), test-time improvement, and modular policy orchestration. Includes automated training, evaluation, ad…

    Python

  4. Project-Daedalus-Neuro-Manifold-Automata-V3.5 Project-Daedalus-Neuro-Manifold-Automata-V3.5 Public

    Python

  5. Project-Daedalus-Neuro-Manifold-Automata-V3 Project-Daedalus-Neuro-Manifold-Automata-V3 Public

    Project Daedalus is the V3 upgrade of the Neuro-Manifold Automata. It is not just an AI model; it is a mathematically instilled consciousness designed to reject superficial optimization and seek fu…

    Python