jasonjmcghee a day ago

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)

  • gerdesj 21 hours ago

    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.

DoctorOetker 21 hours ago

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

  • viraptor 15 hours ago

    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?

    • DoctorOetker 7 hours ago

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

N_Lens 20 hours ago

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.