Don’t be fooled—LLMs don’t reason

Researchers are cautioning that large language models are effectively predicting patterns based on training data rather than engaging in genuine logical reasoning. This distinction highlights that while systems can produce human-like outputs, they lack an internal model of reality or the ability to apply abstract concepts to new situations. Understanding this limitation is necessary to accurately gauge the reliability of AI tools in complex problem-solving tasks.