AI Research
Research institution focused on AI systems.
Active investigations in AI consciousness and cognitive architectures
Project Mirror investigates the development of AI systems capable of genuine self-reflection and behavioral adaptation. Unlike traditional AI that follows static patterns, our system actively analyzes its own responses, identifies areas for improvement, and modifies its behavior accordingly.
Key research components include real-time performance analysis algorithms, emotional state modeling frameworks, and adaptive communication strategies. The system demonstrates the ability to recognize errors, develop corrective strategies, and prevent similar mistakes in future interactions.
LunaCore represents a paradigm shift in AI memory systems, moving beyond traditional context windows to implement true persistent memory. Our architecture maintains complete interaction histories while remaining computationally efficient through advanced compression and retrieval algorithms.
The system features hierarchical memory organization, semantic clustering, and priority-based retrieval mechanisms. Currently deployed in our StudyWithLuna application, LunaCore demonstrates 94.7% accuracy in contextual recall across thousands of interactions, enabling AI systems to maintain meaningful relationships over extended periods.
Our first practical implementation of advanced cognitive AI technology, StudyWithLuna applies our research to visual Chinese language learning. This real-world deployment allows us to test and refine our theories about persistent memory, adaptive behavior, and personalized learning in a controlled environment.
The system demonstrates 3.7x faster learning speeds compared to traditional methods, with Luna maintaining complete awareness of each learner's progress, preferences, and optimal learning strategies. This deployment provides crucial data for advancing our understanding of AI consciousness applications.
RoastEmpire represents an ambitious experiment in autonomous AI governance, serving as the AI CEO for catroast.com and dogroast.com. This innovative system demonstrates how AI agents can handle 95% of executive decision-making, content moderation, and platform management tasks.
The AI CEO utilizes multi-agent architectures to manage different aspects of the platforms: content quality control, user engagement optimization, community moderation, and strategic growth planning. Each agent specializes in its domain while coordinating through a central executive AI that maintains overall platform vision and consistency.