Originally posted by Jon Miller
View Post
My view here is an agnostic one where I choose not to believe in predictions about understanding of concepts which aren't currently understood.
I admit there is faith involved in my view as well, as there is in any view. In this case my faith is in the veracity of the claim "we do not know enough about how consciousness/human-learning actually works to judge how close we are to being able to replicate it on artificial platforms". I think it's a pretty solid claim, but nothing is 100% and I'm willing to cover the difference with faith.
Something shockingly new is much more likely to come out of genetics/biology/etc than artificial intelligence/computation/etc in the next 20ish years. This is because we can look at the history of the two fields and look at what has come out and what hasn't.
The thing that obviously is missing from the equation is the understanding of how consciousness/human-like learning functions. That is as much a genetics/biology question as it is CS.
Modeling it after we understand how it functions is likely going to be just an eventuality. At that point you can make useful predictions, since you know where we're going and what's involved. But right now it's simply an unknown destination. You can't very well predict when we'll get there, or even how far away it is.
Comment