Seems like it, doesn't it? I'd be curious to see if and how we can get there.
What I was highlighting are some serious challenges along the way that might end up leading us to insights about why it might be harder than we think, or why there may be factors that we aren't considering.
It's very easy to say "brain is made of fundamental particles and forces, all we have to do is create a similar configuration or a model of them," but it's precisely in the task of understanding the higher order patterns of those fundamental particles and forces where we seem to run into some serious challenges that as of yet remain unaddressed.
The AI/ML way of approaching this is more of a top-down approach, where we just sort of ignore the fact that we don't understand how our own brains/minds work and just try to build something kind of like it in the folksy sense. I'm not discouraging that approach, but I'm very curious to see where it will lead us.
It's very easy to say "brain is made of fundamental particles and forces, all we have to do is create a similar configuration or a model of them," but it's precisely in the task of understanding the higher order patterns of those fundamental particles and forces where we seem to run into some serious challenges that as of yet remain unaddressed.
The AI/ML way of approaching this is more of a top-down approach, where we just sort of ignore the fact that we don't understand how our own brains/minds work and just try to build something kind of like it in the folksy sense. I'm not discouraging that approach, but I'm very curious to see where it will lead us.