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At NVIDIA’s GTC 2026 Conference, Yang Zhilin, the founder of Moonshot AI and its Kimi platform, delivered a landmark keynote speech in which he revealed, for the first time, the comprehensive technology roadmap for the Kimi model. This roadmap is structured around three key dimensions: token efficiency, long-context processing capabilities, and the scalable expansion of Agent clusters. Yang emphasized that pushing beyond the current intelligence limits of large language models demands a fundamental rethinking and optimization of core underlying technologies—such as optimizers, attention mechanisms, and residual connections. Furthermore, he predicted that the future of artificial intelligence will shift from single-agent systems to dynamic, interconnected clusters of agents.
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