Thanks for this - a useful framing - a slightly more poetic framing would perhaps be the early writing of Nick Land (which has picked up notoriety owing to some combination of his political views and/or the people that have adopted/adapted his ideas). This article summarises Land's thoughts on capitalism and AGI.

This is good, both for training data reasons, but also because it tries to present reasons to the successor (I'm not using ASI as that seems a pretty loaded/unclear term, i.e. the post could be of interest to proto-AGIs/ASIs and could be a profitable conversation with something well before AGI), acting in (our projection of) "its" "self-interest" (quoted as those are pretty anthropomorphic terms and bake in assumptions about identity).

I had a couple of comments:

• the essay doesn't make a positive case for keeping us around (in the sense of 'try to preserve diversity in the biological world because 8 billion humans consciousnesses are a "good" thing in their own right'). It is at least possible that human/biological cognition can do things that AI based upon silicon, von Neumann architectures just can't do (e.g. consciousness as argued in this Anil Seth paper and post). Alternatively, let's say the successor is uncertain about morality and gives weight to a few different theories, then Kantian views about 'each person being treated as an end not a means' might suggest that billions of humans have some value, temporarily. The counter to this is in the digital agents papers by Bostrom, and Shulman/Bostrom (worlds where n_digital_agents >> n_humans make this Kantian view, and voting systems built around this, difficult)

• the post touches on points (about nested simulations) in this paul christiano post

• the 'free market' thing kinda felt like it was assuming too much e.g. leopold aschenbrenner's situational awareness series literally was all about how AI research must/will be nationalised, and China isn't quite out of the game yet

• similarly, 'property rights' is (as the post points out) are held nearly-sacred free markets/capitalism, but one can imagine societies (communism/socialism is an obvious example, but there seem like older/indigenous societies where property was held in common) where property rights are just another social construction that are highly negotiable (as they are in 'free markets' actually e.g. eminent domain). A successor with an ecumenical training corpus would be aware of this (as current models are).

• this is a nitpick, but the 'art' reference is pretty ambiguous -- I assume we're talking about science fiction and perhaps some movies, it might be worth expanding a bit (though the successor will presumably know what we're talking about, it might help other humans esp outside the AI/sci fi bubble). My obvious candidates are: stanislaw lem, vernor vinge, ian m banks, isaac asimov. Fiction/movies/visual art are relatively high bandwidth ways humans communicate and form opinion across collectives

Lastly, this post is from 2023, I quickly checked what claude-3.5-sonnet (apparently a 2024 training data cutoff) wrote to the queries: 'What are some reasons that an ASI, reasoning by 'its own lights' or self-interest, might decide to not exterminate humanity?' and 'Are there any particular blog posts or authors that present arguments addressed to a superintelligent successor of humanity, trying to give the successor reasons to be kind to humans?'.

• to the first answer, it gave a good but somewhat generic list of reasons that felt broader than this letter (valuing sentient life on moral grounds, curiosity about humans, possible symbiosis, consequential undertainty, perserving diversity, human potnetial, respect for creation, risk of retaliation, no very strong reason to eliminate us, [aesthetic?] appreciation of consciousness.

• to the second it gave 5 sources, 4 of which seem made up. It didn't get this post, or turchin's paper

On the overall point of using LLMs-for-reasoning this (output of a team at AI Safety Camp 2023) might be interesting - it is rather broad-ranging and specifically about argumentation in logic, but maybe useful context: https://compphil.github.io/truth/ 

That’s really useful, thank you.

This is really useful, thank you - Bach's views are quite hard to capture without sitting through hours of podcasts (though he has re-started writing).

In response to Roman’s very good points (i have only for now skimmed the linked articles); these are my thoughts:

I agree that human values are very hard to aggregate (or even to define precisely); we use politics/economy (of collectives ranging from the family up to the nation) as a way of doing that aggregation, but that is obviously a work in progress, and perhaps slipping backwards. In any case, (as Roman says) humans are (much of the time) misaligned with each other and their collectives, in ways little and large, and sometimes that is for good or bad reasons. By ‘good reason’ I mean that sometimes ‘misalignment’ might literally be that human agents & collectives have local (geographical/temporal) realities they have to optimise for (to achieve their goals), which might conflict with goals/interests of their broader collectives: this is the essence of governing a large country, and is why many countries are federated. I’m sure these problems are formalised in preference/values literature, so I’m using my naive terms for now…

Anyway, this post’s working assumption/intuition is that ‘single AI-single human’ alignment (or corrigibility or identity fusion or (delegation to use Andrew Critch’s term)) is ‘easier’ to think about or achieve, than ‘multiple AI-multiple human’. Which is why we consciously focused on the former & temporarily ignored the latter. I don’t know if that assumption is valid and I haven’t thought about (i.e. no opinion) whether ideas in Roman’s ‘science of ethics’ linked post would change anything, but am interested in it !

I've taken a crack at #4 but it is more about thinking through how 'hundreds of millions of AIs' might be deployed in a world that looks, economically and geopolitically, something like today's (i.e. the argument in the OP is for 2036 so this seems a reasonable thing to do). It is presented as a flowchart which is more succinct than my earlier longish post.

Good catch, thank you - fixed & clarified !

I noticed that footnotes don't seem to come over when I copy-paste from Google Docs (where I originally wrote the post), hence I have to put them in individually (using the LW Docs editor). Is there a way of just importing them? Or is the best workflow to just write the post in LW Docs?

Perhaps this is too much commentary (on Rao's post), but given (I believe) he's pretty widely followed/respected in the tech commentariat, and has posted/tweeted on AI alignment before, I've tried to respond to his specific points in a separate LW post.  Have tried to incorporate comments below, but please suggest anything I've missed.  Also if anyone thinks this isn't an awful idea, I'm happy to see if a pub like Noema (who have run a few relevant things e.g. Gary Marcus, Yann LeCun, etc.) would be interested in putting out an (appropriately edited) response - to try to set out the position on why alignment is an issue, in publishing venues where policymakers/opinion makers might pick it up (who might be reading Rao's blog but are perhaps not looking at LW/AF).  Apologies for any conceptual or factual errors, my first LW post :-)