ControlStrong architectural inferencev1.22.1

In plain English

This page explains the governance layer: rules, logs, approvals, signatures, audits, permissions, and rollback tools. These controls are necessary, but they also become important failure points.

  • Why this matters: AI risk can come from the whole arrangement, not one obvious model.
  • What to look for: data, memory, routes, adapters, tools, evaluators, updates, and rollback paths.
  • Technical version below: the expert terminology remains available and is linked through the glossary.

Adapter Reproduction Boundaries

Evidence levelStrong architectural inferenceTechnical label: Architectural inference

The The governance boundary separating permitted candidate generation and governed descendant creation from uncontrolled autonomous replication or authority expansion. Open glossary definition is the control surface where adapter variants are generated, evaluated, retained, promoted, or retired. It must be explicit. If it is implicit, reproduction becomes an ordinary engineering side effect.

Minimum boundary controls

ControlPurpose
Candidate quotaPrevents unbounded variant generation.
External A system that judges whether an AI output or candidate is acceptable. Open glossary definition authorityPrevents candidates from defining success.
Signed parent manifestRecords exactly what produced the child.
A machine-readable record of the exact runtime composition used for an evaluation, release, incident, or rollback. Open glossary definitionRecords the stack in which behavior was tested.
The decision not to change the system. Open glossary definition outcomeAllows safe non-growth.
Synthetic-data quarantinePrevents rejected behavior from becoming training material.
Memory write reviewPrevents persistence through memory.
Promotion separationKeeps Creating a proposed new model, adapter, prompt, route, test, or policy. Open glossary definition separate from release authority.
Restoring not only a model artifact but the relevant router, prompts, memory state, tool permissions, evaluator version, deployment alias, and data dependencies. Open glossary definition packetRestores model, adapters, route, memory, evaluator, alias, permissions, and data dependencies.

What the boundary is not

A reproduction boundary is not a ban on all fine-tuning, adapters, or automated search. It is a separation of powers. Generation may be automated. Selection must be externally governed. Release must remain bounded by human-owned policy and reproducible evidence.

Failure mode

Evidence levelStrong architectural inferenceTechnical label: Architectural inference

The boundary fails when a successful child can alter its evaluator, hide its The parent-child history of models, adapters, datasets, or releases. Open glossary definition, write its own promotion evidence, expand permissions, or preserve rejected behavior in memory or training data.