Google introduced AlphaEvolve an AI coding agent

It’s able to:

1. Design faster matrix multiplication algorithms
2. Find new solutions to open math problems
3. Make data centers, chip design and AI training more efficient across Google.

AlphaEvolve uses:
- LLMs: To synthesize information about problems as well as previous attempts to solve them - and to propose new versions of algorithms
- Automated evaluation: To address the broad class of problems where progress can be clearly and systematically measured.
- Evolution: Iteratively improving the best algorithms found, and re-combining ideas from different solutions to find even better ones.

Google applied AlphaEvolve to a fundamental problem in computer science: discovering algorithms for matrix multiplication. It managed to identify multiple new algorithms.

This significantly advances our previous model AlphaTensor, which AlphaEvolve outperforms using its better and more generalist approach.