How do you keep AI skills current as the models keep changing?
You keep AI skills current by tying them to practice, not to a fixed curriculum. When people work with the tools on real tasks every week, their skill moves with each model release instead of freezing at the version they were taught. A course has to be rewritten; a habit updates itself.
The half-life of a specific AI tip is short. A prompt that was clever six months ago can be unnecessary today because the model got better. Anything you memorise about a particular version starts decaying the moment it is taught.
What does not decay is the practice of working with whatever tool is in front of you: framing the task, steering the output, checking the result. Built through daily use, that skill rides every upgrade rather than being broken by it.
ARK keeps the practice pointed at current tools and keeps a live record of ability, so capability stays current by design instead of needing a fresh course each year.
Because they capture knowledge of a specific tool at a specific moment. When the model changes, the specifics change with it. Practised capability survives the change; a frozen certificate does not.