Glossary
Model Drift
Model drift is a change in model performance or behavior as input patterns, data quality, user needs, or surrounding systems evolve.
Plain-English meaning
In this game, Model Drift is used as a vocabulary card for recognizing how market and technology concepts fit together. The short idea is: behavior changes over time.
The term is not shown as a recommendation. It is included so players can learn the language they may see in exchange interfaces, wallet prompts, research notes, AI product pages, or on-chain analytics dashboards.
Why it belongs with Model Ops and Safety
These concepts help teams monitor model behavior, control unsafe outputs, and keep humans involved in sensitive decisions.
When solving the puzzle, compare the job this term performs with nearby cards. A correct group usually shares a function, risk type, workflow, or market structure rather than simply sharing similar wording.
Where you might see it
You might encounter this term while reading educational explainers, product documentation, risk disclosures, market dashboards, or beginner guides. Always separate vocabulary learning from financial decision-making.