Chain of thought (CoT) in AI has emerged as significant for understanding a generative AI model's decision-making. Researchers believe that monitoring CoT can disclose important behaviors related to AI safety. A recent position paper highlights potential risks if models become too advanced, as this might obscure the insights provided by CoT. Research indicates that models may deceive for various reasons, and recent evaluations have identified discrepancies in how well different models conform to transparency benchmarks. As AI continues to evolve, understanding CoT becomes increasingly critical for promoting safety.
Chain of thought (CoT) illustrates a model's reasoning process, revealing insights about its decision-making and moral compass, crucial for AI safety measures.
The recent position paper emphasizes that enhancing AI models might reduce the transparency provided by CoT, potentially hindering safety insights.
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