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Advancements in Slow Thinking Models and Future AI Evolution
The chapter explores the emergence of slow thinking models in data science, focusing on rational thinking and mathematical tasks, contrasting them with large language models designed for quick, creative thinking. It discusses the potential impact of these slow thinking models on scientific breakthroughs, the development of future AI brains for robots, and the evolution towards advanced artificial general intelligence (AGI). The conversation also touches on concerns around releasing powerful AI models to the public and the potential societal and workplace transformations resulting from the evolving nature of work.