Sam Clarke

Wiki Contributions


Just wanted to say this is the single most useful thing I've read for improving my understanding of alignment difficulty. Thanks for taking the time to write it!

Part of me thinks: I was trying to push on whether it has a world model or rather has just memorised loads of stuff on the internet and learned a bunch of heuristics for how to produce compelling internet-like text. For me, "world model" evokes some object that has a map-territory relationship with the world. It's not clear to me that GPT-3 has that.

Another part of me thinks: I'm confused. It seems just as reasonable to claim that it obviously has a world model that's just not very smart. I'm probably using bad concepts and should think about this more.

It looks good to me!

This is already true for GPT-3

Idk, maybe...?

Re the argument for "Why internalization might be difficult", I asked Evan Hubinger for his take on your rendition of the argument, and he thinks it's not right.

Rather, the argument that Risks from Learned Optimization makes that internalization would be difficult is that:

  • ~all models with good performance on a diverse training set probably have to have a complex world model already, which likely includes a model of the base objective,
  • so having the base objective re-encoded in a separate part of the model that represents its objective is just a waste of space/complexity.

Especially since this post is now (rightly!) cited in several introductory AI risk syllabi, it might be worth correcting this, if you agree it's an error.

Edit: or do you just mean that even though you take the same steps, the two feel different because retreating =/= going further along the wall

Yeah, this — I now see what you were getting at!

One argument for alignment difficulty is that corrigibility is "anti-natural" in a certain sense. I've tried to write out my understanding of this argument, and would be curious if anyone could add or improve anything about it.

I'd be equally interested in any attempts at succinctly stating other arguments for/against alignment difficulty.

Instead of "always go left", how about "always go along one wall"?

Yeah, maybe better, though still doesn't quite capture the "backing up" part of the algorithm. Maybe "I explore all paths through the maze, taking left hand turns first, backing up if I reach a dead end"... that's a bit verbose though.

I don't think there is a difference.


Another small nitpick: the difference, if any, between proxy alignment and corrigibility isn't explained. The concept of proxy alignment is introduced in subsection "The concept" without first defining it.

I've since been told about Tasshin Fogleman's guided metta meditations, and have found their aesethic to be much more up my alley than the others I've tried. I'd expect others who prefer a more rationalist-y aesthetic to feel similarly.

The one called 'Loving our parts' seems particularly good for self-love practice.

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