**AlphaEvolve achievements to date** (from the May 7, 2026 DeepMind blog):

**Health & Sustainability**

1. **Genomics (PacBio/DeepConsensus)** — 30% reduction in DNA variant detection errors, enabling cheaper and more accurate genetic sequencing
2. **Power Grid Optimization** — Boosted feasible solution rate for AC Optimal Power Flow from 14% to 88% using a GNN model, cutting costly post-processing
3. **Natural Disaster Prediction** — 5% aggregate accuracy increase across 20 Earth AI hazard categories (wildfires, floods, tornadoes, etc.)

**Fundamental Research**

4. **Quantum Computing** — Generated quantum circuits with 10x lower error for molecular simulations on Google's Willow processor
5. **Pure Mathematics** — Helped Terence Tao solve Erdős problems; broke records on Traveling Salesman Problem lower bounds and Ramsey Numbers
6. **Cross-domain research** — Contributions to interpretable neuroscience models, microeconomic market limit proofs, neural network building blocks, fully homomorphic encryption, synthetic data generation, and AI safety mitigations

**AI Infrastructure**

7. **TPU Design** — Now used as a standard tool in designing next-gen TPUs; proposed a counterintuitive circuit design that shipped in silicon
8. **Cache Replacement** — Discovered more efficient cache policies in 2 days that previously took months of human effort
9. **Google Spanner** — 20% reduction in write amplification via LSM-tree compaction heuristic optimization
10. **Compiler Optimization** — ~9% reduction in software storage footprint through new compilation strategies

**Commercial/Enterprise**

11. **Klarna** — Doubled transformer training speed while improving model quality
12. **Substrate (semiconductor)** — Multi-fold runtime speedup in computational lithography simulations
13. **FM Logistic** — 10.4% routing efficiency improvement, saving 15,000+ km annually
14. **WPP (advertising)** — 10% accuracy gain in campaign modeling over manual optimization
15. **Schrödinger (pharma/materials)** — ~4x speedup in ML force field training and inference for drug discovery and catalyst design

AlphaEvolve: How The Gemini-Powered Coding Agent Is Scaling Impact Across Fields | "From helping explain the physics of the natural world to powering electricity grids and computing infrastructure, there are countless ways AlphaEvolve can help accelerate progress across a variety of fields."