How do machine learning models do what they do? And are they really “thinking” or “reasoning” the way we understand those things? This is a philosophical question as much as a practical one, but a new ...

This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...

There’s a curious contradiction at the heart of today’s most capable AI models that purport to “reason”: They can solve routine math problems with accuracy, yet when faced with formulating deeper ...

Artificial intelligence systems may be good at generating text, recognizing images, and even solving basic math problems—but when it comes to advanced mathematical reasoning, they are hitting a wall.

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. What looks like intelligence in AI models may just be memorization. A closer look at benchmarks ...

Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new problems. The gap between polished performance on familiar benchmarks and ...

Microsoft has introduced a new set of small language models called Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning, which are described as "marking a new era for efficient AI." These ...

Chinese artificial intelligence company DeepSeek has released a mathematical reasoning model that can identify and correct its own errors. The model beat the best human score in one of the world’s ...

DeepSeek's AI models rival top Silicon Valley offerings, excelling in some complex tasks. The models use inference-time compute, breaking queries into smaller, manageable tasks. DeepSeek's DeepThink ...

An analysis by Epoch AI, a nonprofit AI research institute, suggests the AI industry may not be able to eke massive performance gains out of reasoning AI models for much longer. As soon as within a ...