Answer first
Fitness proof is the evidence layer for model breeding. It shows why a champion, specialist, challenger, no-op decision, or retirement decision is useful enough to keep, route, reuse, or release.
Fitness proof is not a fear frame. It is a confidence-building engineering practice: clear metrics, clear parentage, clear resource cost, clear lineage, and clear next action.
What fitness proof should show
A useful evidence packet should make a descendant easy to understand:
- what niche it serves;
- which parent models, adapters, or recipes produced it;
- which dataset, benchmark, or review suite evaluated it;
- how it compares with the current champion;
- what it costs in latency, memory, energy, and maintenance;
- whether it becomes a champion, specialist, challenger, reusable parent, or no-op.
Positive outcomes
A model ecology can make several constructive decisions:
| Outcome | Meaning |
|---|---|
| Champion | Best current default for a niche. |
| Specialist | Strong targeted model for a defined task. |
| Challenger | Useful diversity retained for future combinations. |
| Parent | Proven component worth reusing in later descendants. |
| No-op | The current system remains better than the proposed change. |
| Retired | A lineage is preserved as history while active routing moves on. |
Related guides
- Fitness vectors
- Evidence packets
- Release confidence
- Genome and FitnessVector schemas
- SEO/AEO/GEO implementation evidence
Source reports used for this guide
These reports are preserved verbatim in the site archive. The guide above is an editorial synthesis and may narrow, qualify, or reorganize claims from the source material.
Implementation directivesModelBreeder v2.7.0 Positive Exploration DirectiveCurrent operating directive · 35.8 KB
Theory and source alignmentArchitectural and Theoretical Analysis of ModelBreederMixed maturity · 63.4 KB
Site publication evidenceSite publication evidenceApplied implementation evidence · 1.8 KB