Consider the following problem: Danielle prefers bananas over apples, and apples over strawberries. Considering her parents want to send her favorite fruit in the lunchbox, should they buy bananas or ...

In the present study, we investigate and compare reasoning in large language models (LLMs) and humans, using a selection of cognitive psychology tools traditionally dedicated to the study of (bounded) ...

In September 2024, OpenAI previewed a model that behaved differently from the AI systems most people had grown accustomed to.

Asking multimodal large language models (LLMs) to reason step by step before answering improved both their accuracy and the ...

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 ...

Large language models are a class of AI algorithm that relies on a high number computational nodes and an equally large number of connections among them. They can be trained to perform a variety of ...

We now live in the era of reasoning AI models where the large language model (LLM) gives users a rundown of its thought processes while answering queries. This gives an illusion of transparency ...

Researchers have identified the key brain regions that are essential for logical thinking and problem solving. A team of researchers at UCL and UCLH have identified the key brain regions that are ...

There is a temptation, when AI systems begin to outperform human baselines on established tests, to interpret this as a sign ...