Earlier quoted context omitted.
To a poet everything rhymes.
I don't know. Seems sound enough. Unless you put forward more specific criticism – and I'd be happy to hear your thoughts – I'll be a poet today.
The reality is messy. Sure, we can think in terms of feedback loops and interactive modules and it can be helpful sometimes. We just have to be aware we are imposing our puny models onto the infinitely complex beast.
The model will break down at some point. Recognizing the correct model and extrapolating from it is not useful unless we know the limit at which it breaks down.
It is also hard to be objective about our mental models, we tend to apply all kinds of favoritisms and observation biases when evaluating them. In machine learning (google maps) those biases are still present, but at least they are not our personal biases so they are easier to spot and correct for.