Why Reasoning Models Are Geniuses in Math But Dumb in Everything Else

Author(s): MKWriteshere

Originally published on Towards AI.

New research reveals why specialized reasoning models excel at calculus but struggle with everyday tasks

AI models are consistently outperforming math benchmarks every week. Some even beat human experts on competitions like MATH and AIME.

The article discusses the paradox of AI models excelling in mathematics while struggling with basic conversational tasks. It highlights research from Carnegie Mellon University showing that increased proficiency in mathematical reasoning negatively affects models’ performance in non-mathematical reasoning tasks, raising questions about the training methodologies used in AI development. The findings suggest a need for a balanced training approach that preserves generalist capabilities alongside specialized expertise.

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Published via Towards AI