I think "a better set of inputs" is the real world or much better simulators to train our RL agents. François Chollet (author of Keras) was saying a similar thing - focusing too much on architectures and algorithms we forget the importance of the environment, an agent can only become as smart as the hardest problem it has to solve in its environment, and depends on the richness of said environment for learning. Humans are not general intelligences either, we're just good at being human (surviving in our environment). We'd be much smarter in a richer environment, too.

https://intelligence.org/2017/12/06/chollet/

There's a parallel between something being logical and it "feeling right" without a necessary connection at the "implementation level" between the two, just like there may be a parallel between an artificial NN recognizer recognizing something unambiguously and not caught awkwardly with multiple weak or conflicting activations, and a logical system using rules to determine a contradiction, without ever needing to embed the second in the first, however deep - it's just that illogical inputs didn't get good training because they either don't happen or have no meaningful training data.

I, personally, just know I don't use logical rules very often at all. Usually I apply them retroactively as a post-hoc justification, or narrative, to explain a sense of discomfort or internal conflict or dissonance, but I have no way of knowing if my rationale is true other than how it makes me feel - I'm simply relying on the same mechanism, with an extra set of pattern recognition learned specifically to identify fallacies and incorrect logical constructs. If I didn't have that extra training, my explanations could be illogical and I'd be none the wiser.

I think humans are very bad at logical reasoning and very inefficient at it. Only a small % of the population ever does it and they usually do it incorrectly with biases, constructively to justify an already held conclusion. They're great at pattern recognition though. I don't think logical reasoning is anywhere on the critical path to human level AGI at a deep level. It could very well be a parallel system though to help train recognition if we don't figure out better ways of doing that.