17 points | by danielmewes 8 hours ago ago
2 comments
Author here.
We originally developed our evolution-inspired tool to optimize LLM prompts. To our surprise, we found that the same method also worked well for getting better performance out of a base model on ARC-AGI tasks.
We're open-sourcing the evolver tool today. It is built to be adapted to many different optimization problems. (Some coding required) You can read more about it at https://imbue.com/research/2026-02-27-darwinian-evolver/
Happy to answer questions!
Clean breakdown. The reasoning vs scaling framing makes sense.
Author here.
We originally developed our evolution-inspired tool to optimize LLM prompts. To our surprise, we found that the same method also worked well for getting better performance out of a base model on ARC-AGI tasks.
We're open-sourcing the evolver tool today. It is built to be adapted to many different optimization problems. (Some coding required) You can read more about it at https://imbue.com/research/2026-02-27-darwinian-evolver/
Happy to answer questions!
Clean breakdown. The reasoning vs scaling framing makes sense.