Zoom's artificial intelligence system achieved a score of 48.1% in the "Humanity's Last Exam (HLE)" benchmark test, breaking the world record and surpassing Google Gemini3Pro's previous record of 45.8%. Instead of training a massive large language model, Zoom employed a "Federated AI approach" involving a Z-Scorer to evaluate responses from multiple models (OpenAI, Google, Anthropic), an Explore-Validate-Union Strategy for dialectical collaboration among AI systems, and a Traffic Controller to integrate these for optimal performance. This demonstrates how a non-core model vendor can achieve superior results by integrating existing AI capabilities rather than developing a new large model from scratch.