If we want to maximize flow-through effects to AI Alignment, we might want to deliberately steer the approach adopted for aligned recommender systems to one that is also designed to scale to more difficulty problems/more advanced AI systems (like Iterated Amplification). Having an idea become standard in the world of recommender systems could significantly increase the amount of non-saftey researcher effort put towards that idea. Solving the problem a bit earlier with a less scalable approach could close off this opportunity.
If we want to maximize flow-through effects to AI Alignment, we might want to deliberately steer the approach adopted for aligned recommender systems to one that is also designed to scale to more difficulty problems/more advanced AI systems (like Iterated Amplification). Having an idea become standard in the world of recommender systems could significantly increase the amount of non-saftey researcher effort put towards that idea. Solving the problem a bit earlier with a less scalable approach could close off this opportunity.