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The unveiling of GPT-6 marks a definitive shift in the artificial intelligence landscape, moving the industry from the 'Reasoning' phase (Level 2) into the 'Agentic' phase (Level 3) of OpenAI’s roadmap to General Intelligence. Unlike its predecessors, which focused on next-token prediction and linear logic, GPT-6 is built on the 'Stargate' infrastructure—a $500 billion supercomputing initiative—integrating persistent long-term memory and autonomous multi-step execution. This transition follows a period of perceived 'stagnation' in Large Language Models (LLMs) during the GPT-5 era, solved by OpenAI through the mass implementation of Reinforcement Learning from Verifiable Rewards (RLVR) and inference-time scaling.This report details the technological underpinnings of GPT-6, including its controversial 'Latent Space Reasoning' which allows the model to process logic in non-human-readable notation for efficiency. We analyze the impact of the 5-gigawatt Stargate-I facility on model training and the strategic pivot toward personalization and agentic workflows. As OpenAI transitions to a for-profit structure and implements its 'Preparedness Framework,' GPT-6 emerges not merely as a chatbot, but as a proactive collaborator capable of autonomous research, scientific discovery, and complex organizational management, signaling the dawn of true AI agents.