According to DeepLearning.AI, Google researchers have developed AlphaEvolve, an innovative agent that enables Gemini 2.0 Flash and Pro versions to iteratively run, assess, and edit code until unit tests show improvement. This process, starting from basic placeholder functions, generated new routines for complex 4x4 matrix multiplication that matched or exceeded existing solutions. The advancement demonstrates significant potential for AI-driven code optimization, which could impact trading algorithm development and performance, especially for quantitative crypto traders seeking higher efficiency and edge in algorithmic strategies (source: DeepLearning.AI).