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This episode examines divergence in frontier model architectures as DeepSeek V three point two demonstrates ten to thirty fold cost reductions through sparse attention while context windows plateau at one million tokens. We cover the convergence of Model Context Protocol and Agent to Agent under Linux Foundation governance, hyperscaler capital expenditures projected to exceed five hundred billion in twenty twenty six, and the operational shift toward task specific model routing, open weight deployments, and AI sovereignty requirements in production environments. The briefing highlights how architectural optimization is replacing raw scale as the primary engineering lever across inference, hardware development, and multi agent coordination.