Reasoning is a very minor (but essential) part of knowledge creation.
Knowledge creation comes from collecting data from the real world, and cleaning it up somehow, and brainstorming creative models to explain it.
NN/LLM's version of model building is frustrating because it is quite good, but not highly "explainable". Human models have higher explainability, while machine models have high predictive value on test examples due to an impenetrable mountain of algebra.
Knowledge creation comes from collecting data from the real world, and cleaning it up somehow, and brainstorming creative models to explain it.
NN/LLM's version of model building is frustrating because it is quite good, but not highly "explainable". Human models have higher explainability, while machine models have high predictive value on test examples due to an impenetrable mountain of algebra.