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Test time compute is identified as a crucial aspect of AI development with significant implications for how models operate and improve. The discussion highlights a focus on reasoning tasks, such as math and coding, which initially guided the development of Gemini models. A key surprise was discovering that enhancing thinking processes during training not only benefited reasoning tasks but also improved performance in creative writing, allowing the model to produce entertaining and meaningful content. This multidimensional capability suggests that the integration of reasoning and creativity can lead to more versatile AI applications.