this post was submitted on 18 May 2025
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the goal is to have an agent that can:

  • Understand a complex problem description.
  • Generate initial algorithmic solutions.
  • Rigorously test its own code.
  • Learn from failures and successes.
  • Evolve increasingly sophisticated and efficient algorithms over time.

https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/AlphaEvolve.pdf

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[–] RedWizard@hexbear.net 6 points 3 weeks ago (1 children)

So it only functions with Gemini? Couldn't this methodology be adapted to any model?

[–] JoeByeThen@hexbear.net 7 points 3 weeks ago (1 children)

Yeah, it's just an example. In their Visions for the Future section they mention supporting other LLMs.

[–] RedWizard@hexbear.net 5 points 3 weeks ago* (last edited 3 weeks ago) (1 children)

the endpoint design of deepseeks api, i think, is cross compatible with OpenAI (or am I thinking of something else?), what about google? I haven't looked at the codebase yet but I wonder how quickly you could hack in Deepseek support.

[–] BountifulEggnog@hexbear.net 4 points 3 weeks ago* (last edited 3 weeks ago)

A lot of providers (including deepseek) offer an openai compatible api, actually very surprised this project doesn't use that.

[–] invalidusernamelol@hexbear.net 2 points 3 weeks ago* (last edited 3 weeks ago) (1 children)

I'm trying to figure out exactly what this does, seems like it's just some ABCs and a general framework for writing prompt loops with some logging glue?

All the code is placeholder in the actual agent modules.

[–] yogthos@lemmygrad.ml 2 points 3 weeks ago

If you skim the paper, Alpha Evolve is basically just a genetic algorithm which iterates on the output of the agents.