In the world of large language models, what part of "reasoning" is hard-coded and what part, if any, is learnt? Is reasoning simply a scan/search of your vecto

In the world of large language models, what part of "reasoning" is hard-coded and what part, if any, is learnt? Is reasoning simply a scan/search of your vector space (i.e. your knowledge) according to some hard-coded algo?