Also we’re currently working with an artist to make a much upgraded background image. Happy to connect you if you’re able to collect up some funding and would like a nice professional map.
plex
Karma: 532
Nice to see this idea spreading! I bet Hamish would be happy to share the code we use for aisafety.world if that’s helpful. There’s a version on this github, but I’m not certain that’s the latest code. Drop by AED if you’d like to talk.
I don’t claim it’s impossible that nature survives an AI apocalypse which kills off humanity, but I do think it’s an extremely thin sliver of the outcome space (<0.1%). What odds would you assign to this?
Thanks! Feel free to leave comments or suggestions on the google docs which make up our backend.
Whether AI would wipe out humans entirely is a separate question (and one which has been debated extensively, to the point where I don’t think I have much to add to that conversation, even if I have opinions)
What I’m arguing for here is narrowly: Would AI which wipes out humans leave nature intact? I think the answer to that is pretty clearly no by default.
(cross posting my reply to your cross-posted comment)
I’m not arguing about p(total human extinction|superintelligence), but p(nature survives|total human extinction from superintelligence), as this conditional probability I see people getting very wrong sometimes.It’s not implausible to me that we survive due to decision theoretic reasons, this seems possible though not my default expectation (I mostly expect Decision theory does not imply we get nice things, unless we manually win a decent chunk more timelines than I expect).
My confidence is in the claim “if AI wipes out humans, it will wipe out nature”. I don’t engage with counterarguments to a separate claim, as that is beyond the scope of this post and I don’t have much to add over existing literature like the other posts you linked.
AI Safety Support has been for a long time a remarkably active in-the-trenches group patching the many otherwise gaping holes in the ecosystem (someone who’s available to talk and help people get a basic understanding of the lie of the land from a friendly face, resources to keep people informed in ways which were otherwise neglected, support around fiscal sponsorship and coaching), especially for people trying to join the effort who don’t have a close connection to the inner circles where it’s less obvious that these are needed.
I’m sad to see the supporters not having been adequately supported to keep up this part of the mission, but excited by JJ’s new project: Ashgro.
I’m also excited by AI Safety Quest stepping up as a distributed, scalable, grassroots version of several of the main duties of AI Safety Support, which are ever more keenly needed with the flood of people who want to help as awareness spreads.
running a big AI Alignment conference
Would you like the domain aisafety.global for this? It’s one of the ones I collected on ea.domains which I’m hoping someone will make use of one day.
Disagree with example. Human teenagers spend quite a few years learning object recognition and other skills necessary for driving before driving, and I’d bet at good odds that a end-to-end training run of a self-driving car network is shorter than even the driving lessons a teenager goes through to become proficient at a similar level to the car. Designing the training framework, no, but the comparator there is evolution’s millions of years so that doesn’t buy you much.
Your probabilities are not independent, your estimates mostly flow from a world model which seem to me to be flatly and clearly wrong.
The plainest examples seem to be assigning
We invent a way for AGIs to learn faster than humans 40% AGI inference costs drop below $25/hr (per human equivalent) 16% despite current models learning vastly faster than humans (training time of LLMs is not a human lifetime, and covers vastly more data) and the current nearing AGI and inference being dramatically cheaper and plummeting with algorithmic improvements. There is a general factor of progress, where progress leads to more progress, which you seem to be missing in the positive factors. For the negative, derailment that delays enough to push us out that far needs to be extreme, on the order of a full-out nuclear exchange, given more reasonable models of progress.
I’ll leave you with Yud’s preemptive reply:
Taking a bunch of number and multiplying them together causes errors to stack, especially when those errors are correlated.
Nice! Glad to see more funders entering the space, and excited to see the S-process rolled out to more grantmakers.
Added you to the map of AI existential safety:
Ops, forgot to share edit access, I sent you an invitation to the subfolder so you should be able to move it now. Can also copy if you’d prefer, but I think having one canonical version is best.
This seems super useful! Would you be willing to let Rob Miles’s aisafety.info use this as seed content? Our backend is already in Google Docs, so if you moved those files to this drive folder we could rename them to have a question-shaped title and they’d be synced in and kept up to date by our editors, or we could copy these if you’d like to have your original separate.
I’m curious about what the thing you call EigenKarma is, is it the way people with more karma have more weighty votes? Or is it something with a global eigenvector?
I have put some thought into the privacy aspect, and there are ways to make it non-trivial or even fairly difficult to extract someone’s trust graph, but nothing which actually hides it perfectly. That’s why the network would have to be opt-in, and likely would not cover negative votes.
I’d be interested to hear the unpacked version of your worries about “gatekeeping, groupthink and polarisation”.
Topically, this might be a useful part of a strategy to help the EA forum to stay focused on the most valuable things, if people had the option to sync their vote own history with the EigenKarma Network and use EKN lookup scores to influence the display and prioritization of posts on the front page. We’d be keen to collaborate with the EAF team to make this happen, if the community is excited.
Awesome! I’m glad to see these two communities connecting, I think there’s a lot of potential for cross-pollination. You might be interested in this thread, and this post. I’d love to see these ideas popularized in EA, as I think people who have flexibility and agency can achieve great things.
The tool looks great, one little suggestion is to merge the cells with the link and the ones to the right of it:
so that the link is clickable :)
My approach to addressing “AI can be technical but it’s not clear how much of that you need to know: AKA “But I don’t program”″ is running monthly Alignment Ecosystem Development Opportunity Calls, where I and others can quickly pitch lots of different technical and non-technical projects to improve the alignment ecosystem.
And for “There’s a lot of jargon and it’s not always well explained: AKA “Can you explain that again…but like I’m 5″”, aisafety.info is trying to solve this, along with upping Rob Miles’s output by bringing on board research volunteers.
Seems worthwhile and good for an extra reason: It allows us to train AIs on only data from before there was significant AI generated content, which might mitigate some safety concerns around AIs influencing future AIs training.
I vouch for Severin being highly skilled at mediating conflicts.
Also, smouldering conflicts provide more drag to cohesion execution than most people realize until it’s resolved. Try this out if you have even a slight suspicion it might help.