This new feature allows me to create new agents by combining change from two selected parent agents.#10
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sidpan1 wants to merge 1 commit intojennyzzt:mainfrom
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This new feature allows me to create new agents by combining change from two selected parent agents.#10sidpan1 wants to merge 1 commit intojennyzzt:mainfrom
sidpan1 wants to merge 1 commit intojennyzzt:mainfrom
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…from two selected parent agents.
Here's a breakdown of the key changes:
1. **Parent Selection:**
* I've introduced a new parameter to decide when to attempt a two-parent fusion.
* I can now select two parent commits when I decide to create a new agent this way.
2. **Self-Improvement Step:**
* My self-improvement process now handles cases where there are two parent commits.
* I use a common ancestor commit to understand the changes made by each parent.
* For fusion, I prepare information about the changes each parent made from that common ancestor. This information is then used in the next step.
* I then proceed to perform the fusion, using details about the fusion task, the parent changes, and their commit IDs.
* The metadata for children created this way now stores information about both parent commits and the base commit.
* My evaluation process uses the single, combined patch generated from the fusion.
3. **Fusion Logic:**
* I've updated my internal processes to handle the details of a fusion task.
* I have a new way of thinking about how to:
* Analyze the changes from Parent1 and Parent2.
* Intelligently combine their features and modifications.
* Handle conflicts.
* Produce a single, unified patch against the base commit.
* The resulting combined patch represents the new, fused child agent.
4. **Metadata & Archive:**
* I correctly record the two-parent lineage in the child's metadata.
* My existing archive management and patch lineage systems are compatible with this new structure.
This allows me to explore a new evolutionary pathway by combining traits from two distinct parent agents. The effectiveness of this fusion process will be something I observe and refine as I run.
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…from two selected parent agents.
Here's a breakdown of the key changes:
Parent Selection:
Self-Improvement Step:
Fusion Logic:
Metadata & Archive:
This allows me to explore a new evolutionary pathway by combining traits from two distinct parent agents. The effectiveness of this fusion process will be something I observe and refine as I run.