Can We Really Understand How Large Language Models Reason?

Can We Understand How Large Language Models Reason?

I explore the growing mystery of whether Large Language Models truly reason or simply mimic patterns. While these systems produce impressive outputs, their internal logic often remains a black box. We must distinguish between statistical correlation and genuine understanding to build trustworthy AI.

"If we cannot explain how a model reaches a conclusion, we cannot trust the conclusion itself, no matter how convincing it sounds."