When i look at the things said by LLMs i clearly see stuff that i would call reasoning.
Its reasoning does however have certain "bugs" that a humans reasoning would never have.
My guess is that much of those bugs appear cause the reasoning that a LLM does is not itself built on a self stabilised system. In humans you get coupling between levels of self stability which acts as a constraint, stabilising the system even more. The next level being predictive coding modelling the world. There is no next level in a LLM; they are trained as refiners in teacher forcing mode, a paradigm where self stabilisation is not a driving factor.
Its reasoning does however have certain "bugs" that a humans reasoning would never have.
My guess is that much of those bugs appear cause the reasoning that a LLM does is not itself built on a self stabilised system. In humans you get coupling between levels of self stability which acts as a constraint, stabilising the system even more. The next level being predictive coding modelling the world. There is no next level in a LLM; they are trained as refiners in teacher forcing mode, a paradigm where self stabilisation is not a driving factor.