Something I ponder in the context of AI alignment is how we approach agents with potentially multiple objectives. Much of the discussion seems focused on ensuring an AI pursues a single goal. Which seems to be a great idea if we are trying to simplify the problem but I'm not sure how realistic it is when considering complex intelligences.
For example human motivation often involves juggling several goals simultaneously. I might care about both my own happiness and my family's happiness. The way I navigate this isn't by picking one goal and maximizing it at the expense of the other; instead, I try to balance my efforts and find acceptable trade-offs.
I think this 'balancing act' between potentially competing objectives may be a really crucial aspect of complex agency, but I haven't seen it discussed as much in alignment circles. Maybe someone could point me to some discussions about this :)
With respect to the use of LLMs for my original comment. I think however that this is a useful use for them. It started a conversation on an article that had not comments on it and helped at least one person (me but hopefully others too) to get a better understanding of what was said (thanks to your comment). But it's not a hill I'm willing to die on, specially after already having been wrong once in this thread :)