Why We Think
Read OriginalThis 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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