This makes a lot of sense. However, a machine learning model + data analogy feels more satisfactory (and accurate?) to me. We throw away the data but our model as well as its parameters are retained. The model as well as the parameters get refined with experience and it's possible that the model is recursively made up of multiple models and that combination is governed by parameters which are also governed by experience. Realizing this has always been fascinating to me and it makes it clear that exposing the brain to more data in pretty deliberate ways can yield profound results. The "smarter" you are the less data you need. If you are not so smart/knowledgeable you need more data. The data you need is also specifically of the question-answer form i.e. examples of what it is you are trying to learn. Anyways before i go down the rabbit hole, I think these metaphors are extremely helpful for the purpose of self analysis and improvement.