According to Jeff Dean, the latest Gemini Deep Think model successfully proved a mathematical conjecture using a novel approach distinct from what mathematician Michel van Garrel had considered. This AI advancement demonstrates the growing potential of deep learning models in solving complex theoretical problems, which could accelerate cryptographic innovation and impact trading strategies that rely on advanced mathematics and algorithmic security (source: Jeff Dean).

According to Google DeepMind, AlphaEvolve was applied to over 50 open problems in analysis, geometry, combinatorics, and number theory, including the kissing number problem. The AI rediscovered the best-known solution in 75% of cases and improved upon previous solutions in 20% of cases (source: Google DeepMind Twitter, May 14, 2025). This demonstrates rapid advancements in AI-driven mathematical problem-solving, which could accelerate cryptography and blockchain innovation, potentially impacting the security and efficiency of cryptocurrency protocols.