Example Prompts:
- "How has AI been previously used to enhance mathematical understanding or discovery?"
- "What are the current limitations in our mathematical understanding that AI, especially LLMs, might help address?"
Example Prompts:
- "Using LLMs, can we list down a variety of mathematical problems or areas that haven't been fully explored?"
- "What are some unconventional or novel mathematical questions that haven't been traditionally asked?"
Example Prompts:
- "Can LLMs help in rapidly generating mathematical hypotheses or conjectures based on existing knowledge?"
- "How can we use LLMs to quickly validate or test these hypotheses?"
Example Prompts:
- "What environments or settings can we create using LLMs to encourage innovative mathematical questions?"
- "How can LLMs be used to challenge existing mathematical beliefs or methods?"
Example Prompts:
- "Using LLMs, can we identify areas in mathematics where our current understanding is limited or potentially incorrect?"
- "How can we use LLMs to explore these unknown areas and potentially arrive at new mathematical concepts or theories?"
Example Prompts:
- "After using LLMs for mathematical exploration, what new insights or concepts have we discovered?"
- "How do these new concepts fit into the broader landscape of mathematical knowledge?"
- "What further questions or areas of exploration do these new insights lead to?"
Example Prompts:
- "Can we use LLMs to simulate mathematical discussions or debates to further refine our understanding of the new concepts?"
- "How can we integrate these new mathematical concepts into existing educational or research frameworks?"
By following these prompts and leveraging the capabilities of LLMs, individuals and institutions can potentially discover new mathematical concepts and deepen their understanding of the mathematical universe.