Feeling that something is obvious in hindsight is a bad predictor that your internal model has updated (hindsight bias). It’s true that your reflective model of the game might update—was this a good move, was this a bad one—but that’s easy because you know the AI is super-human and whatever it tells you must be true. This process is unlikely to have any effect on your future move-generation policy.
It’s like the difference between verification and construction of mathematical proofs. It’s usually trivial to verify a proof in comparison to actually constructing it. Verifying a proof isn’t any indicator you learnt the necessary skills to construct one similar in the future. Arguably Go AI is even worse here because it gives an answer without a proof, so you can trivially recognise a move without learning how to generate it.
Feeling that something is obvious in hindsight is a bad predictor that your internal model has updated (hindsight bias). It’s true that your reflective model of the game might update—was this a good move, was this a bad one—but that’s easy because you know the AI is super-human and whatever it tells you must be true. This process is unlikely to have any effect on your future move-generation policy.
It’s like the difference between verification and construction of mathematical proofs. It’s usually trivial to verify a proof in comparison to actually constructing it. Verifying a proof isn’t any indicator you learnt the necessary skills to construct one similar in the future. Arguably Go AI is even worse here because it gives an answer without a proof, so you can trivially recognise a move without learning how to generate it.