The term "reasoning" is a familiar metaphor in today's artificial intelligence (AI) technology, often used to describe the verbose outputs generated by so-called reasoning AI models such as OpenAI's ...

Hallucination is fundamental to how transformer-based language models work. In fact, it's their greatest asset.

In a paper, OpenAI identifies confident errors in large language models as intentional technical weaknesses. Fixing them requires a rethink within the industry.

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 ...