Alpha Evolve is designed to improve itself over time, suggesting enhancements to existing problems, marking the beginning of an automated process in AI research.

Alpha Evolve is an autonomous AI research organization where one AI generates hypotheses and another critiques them, aiming to improve over time.

Alpha Evolve utilizes our latest Gemini models to generate hypotheses about programs and mathematical functions, which then undergo an evolutionary programming process to identify the most promising ideas.

Models like Alpha Evolve can explore new regions of problem space by using techniques such as Monte Carlo research and reinforcement learning, pushing beyond current knowledge.

Alpha Evolve is designed for self-improvement but still requires human oversight, focusing on optimizing existing tasks rather than creating radical changes.

Evolutionary programming allows systems to explore new possibilities by mutating existing programs and comparing them against desired outcomes, effectively creating an autonomous AI research organization.

AI could be the best tool ever for accelerating scientific discovery, marking the beginning of a new golden age of discovery powered by AI tools like AlphaFold.

The first generation of AI applications in drug design often focused on local models, but our approach is to build a more comprehensive system that can generalize across various tasks, as demonstrated by AlphaFold 3, which allows us to create models that generalize across chemistry and target space, enabling application to any protein or small molecule without needing fine-tuning.

More than 2 million researchers worldwide now use AlphaFold, and it has had a significant impact on biology and medical research, but this is just the beginning of AI's potential in science.