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.

Do you agree that an LLM in a harness is Turing complete?

Seems so to me.

So explain then what you mean by "not possible".