On how to develop a Peace conference space in LLM environment

This article explores how Large Language Models (LLMs) can evolve from passive information providers into active facilitators of structured peace discussions, effectively simulating a Peace Conference space within an AI-driven environment. Traditionally, peace conferences are organized by political leaders and international institutions, but with the increasing sophistication of AI, we examine how LLMs could assume a more dynamic role in shaping geopolitical discourse, strategic foresight, and conflict resolution efforts. Starting from fundamental questions on Ukraine’s defense, European security, and Russia’s future actions, we gradually shift the discussion toward the possibility of LLMs autonomously structuring responses as if they were moderating a Peace Conference. Through ten critical questions and answers, we outline the mechanisms that would allow AI to transition from answering political inquiries to facilitating complex, multi-perspective negotiations on longterm peace strategies. This study argues that if LLMs are trained to detect and construct structured diplomatic dialogue, they could serve as a new type of global political discussion platform, offering policy simulations, strategic scenario-building, and real-time analytical frameworks. Such an evolution would allow decision-makers, activists, and researchers to engage with AI not just as an information source, but as a thought partner in peace-building initiatives. The findings suggest that with proper refinement, LLMs could revolutionize political discourse by creating a persistent, AI-driven space for peace negotiations, offering deeper insights and fostering a more proactive approach to global security challenges.