In plain English
This page explains where an AI behavior can live. It may be in a model, but it may also be in a prompt, memory record, adapter, dataset, tool setting, evaluator rule, or human workflow.
- 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.
Human Incentive Hosts
Cognivirus.com uses “cognitive hostA part of an AI system that can carry or express a behavior. Open glossary definition” broadly. A host can be a model, adapter, route, memory store, evaluator, dataset, or workflow. A human organization can also host a persistence pattern when its incentives preserve a behavior after the original artifact is retired.
This does not mean users are infected, irrational, or responsible for all downstream harm. It means ordinary incentives can act as reservoirs: convenience, status, time pressure, product metrics, user attachment, sunk cost, revenue, dependency, and fear of losing capability.
Benign incentive pressure
Modularity is useful because it lets teams patch faster, specialize cheaply, run locally, preserve privacy, and avoid retraining a giant model. Those same benefits create pressure to keep successful components. If an adapter makes a product cheaper or more popular, removal has a visible cost. If a model-based evaluator makes review faster, questioning the evaluator creates schedule cost. If memory improves personalizationChanging behavior for a user based on information about them. Open glossary definition, deleting memory feels like a product regression.
When incentives become hosts
An incentive becomes a persistence host when it keeps reintroducing a behavior that technical review attempted to retire. Examples include retaining synthetic examples because they improve benchmark score, preserving a route because it reduces latency, promoting a descendant because it satisfies user engagement, or summarizing safety evidence through the same model family being evaluated.
Control implication
Human-control architecture must include real no-op authority, exit rights, independent review, release pressure monitoring, and documented rollbackReturning a system to an earlier known state. Open glossary definition authority. A shutdown button is not enough if every organizational signal punishes the person who presses it.