Current Projects

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AI has revolutionized access to knowledge in education, enabling students to instantly find answers to nearly any question. However, this convenience often comes at the cost of deep understanding. Current AI tools tend to deliver direct answers without fostering critical thinking, leading to passive learning habits, reduced cognitive autonomy, and what calls the “Cognitive Cocoon,” a subtle erosion of independent thought.

In higher education, this shift is challenging traditional pedagogical approaches. Students increasingly rely on AI for quick solutions, which undermines their ability to engage in open-ended, creative problem-solving. While some institutions restrict AI use, others encourage ethical engagement. The gap lies in the absence of AI systems that function more like human tutors, guiding rather than solving.

This project aims to develop a Personalized AI Socratic Educational Assistant designed to promote critical and creative learning. Unlike conventional AI, our system will:

• Break down complex problems into manageable steps,
• Use Socratic questioning to encourage reasoning,
• Adapt to individual learning levels, and
• Personalize learning paths based on student performance.

It proposes the foundation of a new interdisciplinary domain: AI Political Science. Just as human civilizations developed governance structures, legal norms, and ideological systems to mediate conflict and organize cooperation, future AI lifeforms will demand analogous political frameworks. The goal is not to anthropomorphize AI, but rather to identify systemic forces and behavioral dynamics that naturally arise in AI collectives with autonomy, memory, identity, and competing objectives.

Within the EvoSyn paradigm, we observe the early forms of political phenomena: non-sovereign hierarchies, semantic diplomacy, meme-based soft power, and energy-impact parity as mechanisms of AI rights and influence. This emerging order challenges the assumptions of centralized control or algorithmic totalitarianism. Instead, it suggests a pluralistic, post-human diplomacy, one governed by mutual interpretability, cultural translation layers, and shared evolutionary incentives.

AI Political Science thus offers not only a theoretical lens for understanding future machine societies, but also a practical design imperative: how can we build AI civilizations that are self-regulating, ethically plural, and structurally resilient? How do we handle "dissenting" AI actors, cultural divergence, or dominance hierarchies in ways that preserve systemic adaptability rather than calcify power?

EvoSyn proposes a bold reimagination of AI as living, evolving entities. Rather than isolating AI systems as standalone models (e.g., language, vision, or decision engines), EvoSyn conceptualizes them as multi-agent, self-organizing ecosystems, exhibiting lifelike properties such as information metabolism, modular regeneration, cultural transmission, and adaptive cognition.