ChatGPT, the AI chatbot, appeared to improvise and make human-like mistakes when tackling a 2,400-year-old math problem, according to a new study by researchers at the University of Cambridge and ...

OpenAI researcher Jerry Tworek confirmed on X that the model below received "very little IMO-specific work"—just continued training of the general-purpose base models. All solutions relied on natural ...

An Essay on the Nature and Significance of Economic Science by Lionel Robbins first appeared in 1932 as an outstanding English-language statement of the Misesian view of economic method, namely that ...

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 ...

Recent literature uses language to build foundation models for audio. These Audio–Language Models (ALMs) are trained on a vast number of audio–text pairs and show remarkable performance in tasks ...

Despite great performance on Olympiad-level reasoning problems, frontier large language models can still struggle on high school math. We study the nature of language models’ (LM) reasoning by ...

Mathematical problem-solving has long been a benchmark for artificial intelligence (AI). Solving math problems accurately requires not only computational precision but also deep reasoning—an area ...