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Advancements in AI: From Scaling to Precision
This chapter explores the innovations brought by DeepSeek, particularly emphasizing low precision training in machine learning as a key advancement. It critiques the shift away from algorithmic innovations towards mere scaling of models, advocating for a return to experimental methods for genuine AI progress. The discussion also covers the competitive dynamics between tech giants in the AI landscape, touching on ethical considerations and the future potential of AI technology.