Nonupdating

Nonupdating is an adjective used to describe something that does not update automatically or in response to new information. It characterizes objects, processes, or systems whose state remains fixed after creation or deployment unless an explicit action is taken to modify them. The term is not a formal technical term with a single standardized definition, but is used across fields to indicate a lack of automatic dynamism.

In computing and information systems, nonupdating components are typically static or read-only. Examples include static websites, read-only databases, and caches that do not refresh unless manually invalidated. Nonupdating dashboards or reports display a fixed set of data that is not revised in real time.

In machine learning and artificial intelligence, nonupdating can describe models, layers, or features that are frozen during certain phases. Weights that do not receive gradient updates during training, or inference-only models, are described as nonupdating. Precomputed features or embeddings may also be treated as nonupdating within a data pipeline.

In data governance and software deployment, nonupdating artifacts are intended to remain unchanged to preserve reproducibility and auditability. This can aid verifiability but may lead to stale information if inputs evolve.

Overall, nonupdating emphasizes stability and determinism at the expense of currentness. The choice to design or deploy a nonupdating component depends on the goals of reliability, performance, and governance.