AlphaEvolve training optimization

Source and extraction

Published 2025-05-14

• AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithmsEnhancing AI training and inferenceOriginal source ↗

Evaluation setup

Not reported: split, task count, task snapshot, attempts per task, run count, selection rule, aggregate method, token budget, wall clock budget, hardware, training budget, inference budget, monetary cost, tool access, internet access, filtering, scaffold, evaluator version, human intervention, task exclusions, contamination concerns, comparability caveats.

Comparability

Not compared with other results.

Limitations

• Does not measure improvement in the optimizer across generations.
• Reported by developer; experimental compute and full production denominator undisclosed.
• A fixed optimizer improving code does not establish recursive acceleration.