Actually we have reasoning AI - in inductive and deductive reasoning spaces. What we lack is abductive reasoning AI, which LLMs are actually really really close

Actually we have reasoning AI - in inductive and deductive reasoning spaces. What we lack is abductive reasoning AI, which LLMs are actually really really close to. They all lack agency, but you can approximate agency through goal based agents. By tying together a goal based agent with inductive, deductive and LLM in a feedback cycle, I think you’ll find we are pretty darn close. The reasoning behavior will be different than human, and maybe the reasoning classes need to be extended, but we have already crafted either optimal or decent approximations of human reasoning. The task as I see it is less making LLM AGI but in taking all the AI work to date and synthesizing them into an ensemble that delegates tasks to the right model based on the domain of a sub tasks in a larger task space and providing the appropriate feedback, state, integrations, as well as providing integrations to optimizers, solvers, and other computational and mechanical algorithms.