I don't keep up on chess engine news so ill take your word for that. The only thing i used an engine for was to check for missed tactics and blunders. Chess engines like any technological advancement will get misused and used even though it is not understood how to use it.
The DeepMind paper is well worth reading. Not just for the impact to Chess, but it has some interesting insights into learning techniques (their point was not to make a powerful Chess engine, but use that to continue developing their AI). When you let it choose its own path, it naturally migrated towards the things that were easier to understand. When you force it to play more complicated things, it took it longer to understand them, but eventually played them well, too. An interesting insight into human learning: if we are left to our own devices, we will naturally avoid things that we find too difficult, when it is precisely those things we need to explore in order to continue growing.
"What doesn't kill us makes us stronger."
Which is precisely why memorizing moves with no understanding of those moves is easy but doesnt cause growth.
I think it causes growth. My reasoning is really that there will be those who will never excel. They may become ok but without aptitude, they won't excel. Memorising moves is part of the process of improving. You can go at it from both sides. Try to work out moves on first principles and also memorise them. If a good player memorises them, then they get further into the game before they're thrown on their own resources. That's a big advantage because it means more thinking time for moves they have to work out. On average they will win more games, their ratings will improve and they'll be playing better players in league chess and tournaments, from whom they're more likely to learn.
Therefore NOT memorising moves automatically hands yourself a disadvantage and slows your improvement.
I don't keep up on chess engine news so ill take your word for that. The only thing i used an engine for was to check for missed tactics and blunders. Chess engines like any technological advancement will get misused and used even though it is not understood how to use it.
The DeepMind paper is well worth reading. Not just for the impact to Chess, but it has some interesting insights into learning techniques (their point was not to make a powerful Chess engine, but use that to continue developing their AI). When you let it choose its own path, it naturally migrated towards the things that were easier to understand. When you force it to play more complicated things, it took it longer to understand them, but eventually played them well, too. An interesting insight into human learning: if we are left to our own devices, we will naturally avoid things that we find too difficult, when it is precisely those things we need to explore in order to continue growing.