Don’t be fooled—LLMs don’t reason
The article argues that current large language models lack genuine reasoning capabilities, distinguishing between intuitive pattern completion and deliberative reasoning as demonstrated by AlphaGo. The author proposes that trustworthy AI systems for high-stakes applications like medicine and science require explicit epistemic states and auditable reasoning processes, rather than relying on scaled-up pattern prediction.
Source: MIT Technology Review