Now, in this abstract world of "matter", certain collections of abstractions (COAs for short) called "humans" have been experiencing a vast array of possible abstract interactions with other COAs called "the world". They first tried expressing the feedback of those interactions on a part of their COA called "the brain" with modulating the interactions called "sound waves", and later learned how to encode those into certain states of other COAs called "bits of information", which are not quite bits but COAs called "transistors", which store some abstract "electric charges".
Now the question is: how can capturing those bits and building an algorithm that predicts the next multidimensional array of bits based on the current one REALLY capture the essense of the original underlying interactions and feedbacks the human COAs had, and how can those algorithms experience those exact interactions and feedbacks?