Two distinguished mathematicians, Timothy Gowers and Peter Sarnak, have recently articulated their views on the capabilities of large language models (LLMs). They acknowledge that while LLMs excel in performing calculations and synthesizing existing knowledge, they fall short in generating innovative mathematical concepts. This observation highlights a critical distinction between computational proficiency and creative intuition. In this context, it is important to note that the ability to generate genuinely new ideas is a hallmark of human intellect, which LLMs currently lack. As the discourse around artificial intelligence evolves, a balanced assessment of both the opportunities and limitations presented by these models is essential. A final assessment would be premature at this point, as ongoing developments in AI may yield new insights into their potential roles in mathematical innovation.