In short, I think ADS available as a mechanism to the extent that the responses of a system can affect subsequent inputs to the system (technically this is always, but in practice the degree of effect varies enormously). This need not be a system subject to further training updates, though if it is, depending how those updates are generated, ADS behaviour may or may not be reinforced.
Gradient hacking was originally coined to mean deliberate, situationally aware influence over training updates. (ADS is one mechanism by which this could be achieved.)
The term ‘gradient hacking’ seems to also be used commonly to refer to any kind of system influence over training updates, whether situationally aware/deliberate or no. I think it’s helpful to distinguish these so I often say ‘deliberate gradient hacking’ to make sure.
In short, I think ADS available as a mechanism to the extent that the responses of a system can affect subsequent inputs to the system (technically this is always, but in practice the degree of effect varies enormously). This need not be a system subject to further training updates, though if it is, depending how those updates are generated, ADS behaviour may or may not be reinforced.
Gradient hacking was originally coined to mean deliberate, situationally aware influence over training updates. (ADS is one mechanism by which this could be achieved.)
The term ‘gradient hacking’ seems to also be used commonly to refer to any kind of system influence over training updates, whether situationally aware/deliberate or no. I think it’s helpful to distinguish these so I often say ‘deliberate gradient hacking’ to make sure.