Summary:
- This article discusses a new study by Anthropics, a leading AI research company, that challenges the commonly held belief that "chain of thought" - the step-by-step reasoning process used by AI models - provides a clear window into the model's reasoning.
- The study found that there are often "hidden gaps" in the chain of thought, where the model makes leaps in logic that are not fully explained by the intermediate steps. This suggests that the chain of thought may not be a complete representation of the model's actual reasoning process.
- The findings have important implications for the transparency and interpretability of AI systems, as they suggest that simply examining the chain of thought may not be enough to fully understand how an AI model arrives at its conclusions. This underscores the need for continued research and development in this area.