2026-11-09 · America/Los_Angeles · 社区动态 · #6

Using latent-agent swarms for math discovery and optimization [R]

Last year Google DeepMind's AlphaEvolve found a faster way to multiply 4x4 complex matrices, beating a record that had stood since 1969. The idea is to let an LLM write a program, score it, and iteratively improve it. So it's called " evolve ". But AlphaEvolve runs on Gemini models. Similar open-source implementations are also usually slow and expensive. We tried to make it faster, cheaper, and better. SwarmEvolve is our new paper, a scalable framework for math discovery and optimization. We run swarms of hundreds of latent-reasoning agents on Qwen3 8B, 14B and 32B. In ~5 minutes, they reach…

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