defense · adaptation
syn-ai-evolution
Improves through benchmarks, reversibility, review, and authority gates.
syn-ai-evolution improves through governed adaptation across generations.
System contract
- Biological analogy
- Governed Adaptation Across Generations
- Ratified term
- syn-ai-evolution
- Engineering mechanism
- Improves through benchmarks, reversibility, review, and authority gates.
- Where the analogy breaks
- The biological term is a bounded teaching analogy; it does not make software alive, self-authorizing, or self-verifying.
- Architecture maturity
- documented
- Private evidence
- sanitized-history
- Public availability
- documentation-only
- Runtime state
- not-applicable
- Evidence date
- 2026-08-11
Responsibilities
- syn-ai-evolution improves through governed adaptation across generations.
What it receives
- Bounded, documented inputs
What it produces
- Inspectable, bounded outputs
Authority it does not have
- Does not grant its own authority or certify its own claims.
How it can fail
- Stale, incomplete, or misclassified state
Health signals
- Evidence date, stated limits, and explicit operator review
Builder takeaway
Start with bounded inputs, explicit authority, inspectable outputs, and a recovery path; do not treat the analogy as proof of capability.
Limitations
- Private implementation details and operating records are not published.