Google Research announced a new AI framework capable of autonomously evolving and improving scientific software by rewriting code trees. The tool enhances legacy programs through self-optimization, outperforming traditional benchmarks in computational physics, biology, and climate modeling. Using reinforcement learning, the system detects inefficiencies and generates better algorithmic solutions without human input. Experts note it could revolutionize R&D by reducing research cycles and accelerating data modeling in academic and industrial labs alike.