Current LLMs struggle with formal mathematical proofs that lack existing training data. While synthetic data generation helps, the gap between pattern recognition and genuine reasoning persists. Researchers now test whether specialized architectures can solve unsolved conjectures. This battle determines if AI will move beyond imitation toward autonomous discovery in pure mathematics.