LLM "reasoning" continues to be deeply flawed

A new Caltech and Stanford review reveals that large language models, including those marketed as "reasoning" systems, continue to suffer from fundamental flaws in logical reasoning despite years of promises from Silicon Valley companies. The comprehensive study documents widespread reasoning failures across current AI systems, supporting long-standing academic criticism that deep learning lacks essential capabilities for causal relationships and logical inference, suggesting the industry should explore alternatives to LLMs.