From what I understand, current models seem to have issue with planning and reasoning because they “blurt” everything out zero shot. They can’t recurrently process information.
Part of it is how we train these models, which is rapidly being experimented with and being improved.
Another part is that our brain can both consciously and unconsciously process information recurrently until we solve a problem. Especially helpful when we haven’t solved a problem before.
With LLMs, we can do that rudimentary with recurrent prompting. In a way, it can see the steps it has tried, re-evaluate and come up with a new try.
But it’s not innate yet, where models can “think” about a complex problem until it solved it.
Also- According to some theories around consciousness, this is when consciousness will really emerge (integrated information theory).
I’m pretty sure we’ll be able to solve this recurrent processing issue in the next few years.