alt.hn

12/9/2025 at 10:54:33 PM

OpenEvolve: Teaching LLMs to Discover Algorithms Through Evolution

 https://algorithmicsuperintelligence.ai/blog/openevolve-overview/index.html

by codelion

12/9/2025 at 11:31:13 PM

It doesn't mention it in the article, but guessing this is based on / inspired by AlphaEvolve?

Though I'm not sure the public can access AlphaEvolve yet.

(https://arxiv.org/abs/2506.13131)

by jasonjmcghee

12/10/2025 at 12:31:36 AM

If AlphaEvolve is: "a quality-diversity search framework for algorithm discovery" then maybe.

At the moment I'm mildly skeptical and uncertain of whether to twist or stick.

by gerdesj

12/10/2025 at 12:38:58 AM

Very interesting that the LLM weights are co-evolved and reasoning skills improve!

by DoctorOetker

12/10/2025 at 6:28:59 AM

What do you mean by this? I can't find anything there about modifying the used LLMs and the hosted ones wouldn't be possible to change. Do I misunderstand the convolved part you mentioned?

by viraptor

12/10/2025 at 2:37:08 PM

you are correct, on re-reading they only evolved the prompts ...

by DoctorOetker

12/10/2025 at 12:57:22 AM

Some cool optimisations here: MAP elites, island models to prevent premature convergence & fast rejection of bad candidates.

What's particularly interesting is the meta level insight: The system discovered scipy.optimize.SLSQP for circle packing - a completely different algorithmic paradigm than it started with. It's genuinely discovering new approaches, not just parameter-tuning.

by N_Lens