Lilian Weng • 5/1/2025

Why We Think

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This technical article reviews recent research on using test-time compute (or 'thinking time') and Chain-of-Thought reasoning to enhance AI model performance. It draws analogies to human dual-process thinking (System 1 vs. System 2), discusses computation as a resource in neural networks, and touches on latent variable modeling, explaining why allowing models more computational time leads to better results on complex problems.

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#large language models #Reasoning #Chain Of Thought
Why We Think

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