A new paper with Bogdan Georgiev, Javier Gomez-Serrano, and Adam Zsolt Wagner: "Mathematical exploration and discovery at scale" arxiv.org/abs/2511.02864. Further discussion is at terrytao.wordpress.com/2025/11/05/m...
AlphaEvolve finds new algorithms that outperform the best human-made solutions for data center management, chip design and more.
AlphaEvolve was developed by our wonderful team working on AI for algorithm discovery.
On BlueSky: @emidup.bsky.social @swarat.bsky.social
We’ve only scratched the surface of possible use cases of AlphaEvolve
I’m looking forward to many more applications across the sciences and computational problems
AlphaEvolve advanced over 10 open problems across Maths. But one is particularly precious to me:
It found the first improvement after 56 years to how fast we can multiply 4x4 matrices 🤯 (with complex number entries)
And it did so by discovering a sophisticated search algorithm
Announcing AlphaEvolve, our new LLM coding agent that has
- made new scientific discoveries
- discovered algorithms that are now deployed at Google (in Gemini, Transformers, TPU hardware design & data centers)
Blog: deepmind.google/discover/blo...
White paper:
storage.googleapis.com/deepmind-med...
We introduce 🌸✨ AlphaEvolve ✨🌸, an evolutionary coding agent using LLMs coupled with automatic evaluators, to tackle open scientific problems 🧑🔬 and optimize critical pieces of compute infra ⚙️
deepmind.google/discover/blo...
Also not the first time (nor the last) that DeepMind has improved a component of quantum computers! arxiv.org/abs/2402.14396
Great work, congratulations to both teams!
Despite a massive head start, BlueSky has now overtaken Threads in the US 👇
