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The Importance of Core Knowledge in Language Models
This chapter explores the necessity of inputting fundamental knowledge like basic physics into language models to enhance their problem-solving abilities, such as understanding arc-type questions and developing pattern recognition skills. It also discusses the debate on whether core knowledge is essential for intelligence and highlights a prize competition promoting the sharing of open-source AI models to expedite progress towards AGI.