> What most models are doing now is much more efficient, practical and reliable than what I described. Though it doesn't exactly reproduce how we learn things. But that's probably not what most people would want in their models. They prefer more efficient, pratical and reliable models.

Yeah, I guess the distinction here is whether one is using an ML model as a means to an end or as an end in itself. I imagine a researcher interested in AGI would be much more likely to take this kind of approach than someone trying to sell their ML models to industry.

Edit: anyone care to discuss why you downvoted?