The Model Era Is Already Over, Says Meta's CTO

Industry Paradigm Shift - The era of monolithic AI models has concluded, transitioning toward a multi-model ecosystem where tasks are dynamically routed to specialized models based on specific requirements [1][2] - AI infrastructure now utilizes "harnesses" (such as open code or cloud code) to intelligently shop for and select the most appropriate model for each individual task [1] Operational Strategy and Efficiency - Advanced AI systems now employ a "distillation" strategy, utilizing a highly intelligent and computationally expensive model only when necessary to optimize performance and cost [2] - Multimodal architectures, such as Gemini, demonstrate the trend of farming out specific sub-tasks (e.g., image generation) to smaller, specialized models like Nano Banana to enhance operational efficiency [2]