AI's not 'reasoning' at all - how this team debunked the industry hype

The article discusses the claims made by the AI industry regarding the "reasoning" capabilities of language models. Researchers have challenged these claims by providing a more accurate understanding of how these models operate. The researchers found that language models do not truly "reason" but rather rely on statistical patterns in their training data to generate responses. They argue that the so-called "chain of thought" exhibited by these models is not a sign of genuine reasoning, but rather a reflection of the language patterns they have learned. The article highlights the importance of critically evaluating the capabilities of AI systems and not being swayed by industry hype. It emphasizes the need for a nuanced understanding of the limitations and strengths of current AI technologies, which can inform more realistic expectations and responsible development of these systems. The article cautions against overestimating the reasoning abilities of language models and calls for a more transparent and evidence-based approach to evaluating AI's capabilities and limitations.