Israel as a nation state has an ongoing national security issue involving Iran. For the last twenty years or so, Iran has been covertly developing nuclear weapons. Iran is a country with a very low opinion of Israel and is generally diplomatically opposed to its existence. Their supreme leader has a habit of saying things like Israel is a "cancerous tumor of a state" that "should be removed from the region". Because of these and other reasons, Israel has assessed, however accurately, that if Iran successfully develops nuclear weapons, it stands a not-insignificant chance of using them against Israel. 

Israel's response to this problem has been multi-pronged. Making defense systems that could potentially defeat Iranian nuclear weapons is an important component of their strategy. The country has developed a sophisticated array of missile interception systems like the Iron Dome. Some people even suggest that these systems would be effective against much of the incoming rain of hellfire from an Iranian nuclear state.

But Israel's current evaluation of the "nuclear defense problem" is pretty pessimistic. Defense isn't all it has done. Given the size of Israel as a landmass, it would be safe to say that it's probably not the most important component of Israel's strategy. It has also tried to delay, or pressure Iran into delaying, its nuclear efforts through other means. For example, it gets its allies to sanction Iran, sabotages its facilities, and tries to convince its nuclear researchers to defect.

In my model, an argument like "well, what's the point of all this effort, Iran is going to develop nuclear weapons eventually anyways" would not be very satisfying to Israeli military strategists. Firstly, that the Iranians will "eventually" get nuclear weapons is not guaranteed. Secondly, conditional on them doing it, it's not guaranteed it'll happen the expected lifetime of the people currently living in Israel, which is a personal win for the people in charge. Thirdly, even if it's going to happen tomorrow, every day that Iran does not possess nuclear weapons under this paradigm is a gift. Delaying a hypothetical nuclear holocaust means increasing the life expectancy of every living Israeli. 

An argument like "well, what if you actually radicalize the Iranians into hardening their stance on developing nuclear weapons through all of this discouragement" would also be unsatisfying. Disincentivizing, dissuading, and sabotaging people's progress toward things generally does what it says on the tin, and Iran is already doing nuclear weapons development. Any "intervention" you can come up with towards Iranian nuclear researchers is probably liable to make things better and not worse. Speaking more generally, there is still an instrumental motivation to get Iran to stop their nuclear weapons program, even if a diplomatic strategy would be more effective.


There are many people on this website that believe the development of AGI, by anyone in the world, would be much worse in expectation than Iran developing nuclear weapons, even from the perspective of a fiercely anti-Iranian nationalist. There are also some people on this website who additionally believe there is little to no hope for existing AI safety efforts to result in success. Since so far it doesn't seem like there are any good reasons to believe that it's harder and more genius-intense to develop nuclear weapons than it is to develop AGI, one might naively assume that these people would be open to a strategy like "get existing top AGI researchers to stop". After all, that method has had some degree of success with regard to nuclear nonproliferation, and every hour that the catastrophic AGI extinction event doesn't happen is an hour that billions of people get to continue to live. One would think that this opens up the possibility, and even suggests the strategy, of finding a way to reach and convince the people actually doing the burning of the AGI development commons. 

So imagine my surprise when I informally learn that this sort of thinking is quasi-taboo. That people who wholesale devote their entire lives to the cause of preventing an AI catastrophe do not spend much of their time developing outreach programs or supporting nonviolent resistance directed toward DeepMind researchers. That essentially, they'd rather, from their perspective, literally lay down and die without having mounted this sort of direct action.

I find this perspective limiting and self-destructive. The broader goal of alignment, the underlying core goal, is to prevent or delay a global AGI holocaust, not to come up with a complete mathematical model of agents. Neglecting strategies that affect AGI timelines is limiting yourself to the minigame. The researchers at DeepMind ought to be dissuaded or discouraged from continuing to kill everybody, in addition to and in conjuction with efforts to align AI. And the more pessimistic you are about aligning AI, the more opposed you should be to AGI development, the more you should be spending your time figuring out ways to slow it down. 

It seems weird and a little bit of a Chesterton's fence to me that I'm the first person I know of to broach the subject on LessWrong with a post. I think an important reason is that people think these sorts of strategies are infeasible or too risky, which I strongly disagree is the case. To guard against this, I would now like to give an example of such an intervention that I did myself. This way I can provide a specific scenario for people in the comments section to critique instead of whatever strawman people might associate with "direct action".


EleutherAI is a nonprofit AI capabilities research collective. Their main goal up until now has been to release large language models like the kind that OpenAI has but keeps proprietary. As a side project they occasionally publish capability research on these large language models. They are essentially a "more open" OpenAI, and while they're smaller and less capable I think most people here would agree that their strategy and behavior before 2022, as opposed to stated goals, were probably more damaging than even OpenAI from an AI alignment perspective.

Interestingly, most of the people involved in this project were not unaware of the concerns surrounding AGI research; in fact they agreed with them! When I entered their discord, I found it counterintuitive that a large portion of their conversations seemed dedicated to rationalist memes, given the modus operandi of the organization. They simply learned not to internalize themselves as doing bad things, for reasons many reading probably understand.

Some people here are nodding their heads grimly; I had not yet discovered this harrowing fact about a lot of ML researchers who are told about the alignment problem. So one day I went into the #ai-alignment (!) discord channel inside the discord server where their members coordinate and said something like:

lc: I don't think anybody here actually believes AGI is going to end the world. I find it weird that you guys seem to be fully on the LessWrong/rationalist "AGI bad" train and yet you cofounded an AI capabilities collective. Doesn't that seem really bad? Aren't you guys speeding up the death of everybody on the planet?

They gave me a standard post they use as a response. I told them I'd already read the post and that it didn't make any sense. I explained the whole game surrounding timelines and keeping the universe alive a little bit longer than it otherwise would be. I then had a very polite argument with Leo Gao and a couple other people from the team for an hour or so. By the end some members of the team had made some pretty sincere seeming admissions that the Rotary Embeddings blog-post I linked earlier was bad, and some team members personally admitted to having a maybe-unhealthy interest in publishing cool stuff, no matter how dangerous. 

I have no idea if the conversation actually helped long term, but my sense is that it did. Shortly thereafter they took a bunch of actions they alluded to in the blog post, like attempting to use these large language models for actual alignment research instead of just saying that what they were doing was OK because somebody else might after they open sourced them. I also sometimes worry whether or not the research they were doing ever consequented in faster development of AGI in the first place, but an institution could have people to assess things like that. An institution could do A/B testing on interventions like these. It can talk to people more than once. With enough resources it can even help people (who may legitimately not know what else they can work on) find alternative career paths.

With these kinds of efforts, instead of telling people who might already be working in some benign branch of ML that there's this huge problem with AGI, who can potentially defect and go into that branch because it sounds cool, you're already talking to people who, from your perspective, are doing the worst thing in the world. There's no failure mode where some psychopaths are going to go be intrigued by the "power" of turning the world into paperclips. They're already working at DeepMind or OpenAI. Personally, I think that failure mode is overblown, but this is one way you get around it. 

I don't have the gumption to create an institution like this from scratch. But if any potential AGI researchers or people-who-would-want-to-be-agi-researchers-but-aren't-smart-enough are reading this, I'm begging you to please create one so I can give my marginal time to that. Using your talents to try to develop more math sounds to a lot of people like it might be a waste of effort. I know I'm asking a lot of you, but as far as I can tell, figuring out how to do this well seems like the best thing you can do.

Not all political activism has to be waving flags around and chanting chants. Sometimes activists actually have goals and then accomplish something. I think we should try to learn from those people, as lowly as your opinion might be of them, if we don't seem to have many other options. 

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a strategy like "get existing top AGI researchers to stop"

There's a (hopefully obvious) failure mode where the AGI doomer walks up to the AI capabilities researcher and says “Screw you for hastening the apocalypse. You should join me in opposing knowledge and progress.” Then the AI capabilities researcher responds “No, screw you, and leave me alone”. Not only is this useless, but it's strongly counterproductive: that researcher will now be far more inclined to ignore and reject future outreach efforts (“Oh, pfft, I’ve already heard the argument for that, it’s stupid”), even if those future outreach efforts are better.

So the first step to good outreach is not treating AI capabilities researchers as the enemy. We need to view them as our future allies, and gently win them over to our side by the force of good arguments that meets them where they're at, in a spirit of pedagogy and truth-seeking.

(You can maybe be more direct with someone that they're doing counterproductive capabilities research when they're already sold on AGI doom. That's probably why your conversation at EleutherAI discord went OK.)

(In addition to “it would be directly super-counterproductive”, a second-order reason... (read more)

The history of cryonics' PR failure has something to teach here.

Dozens of deeply passionate and brilliant people all trying to make a case for something that in fact makes a lot of sense…

…resulted in it being seen as even more fringe and weird.

Which in turn resulted in those same pro-cryonics folk blaming "deathism" or "stupidity" or whatever.

Which reveals that they (the pro-cryonics folk) had not yet cleaned up their motivations. Being right and having a great but hopeless cause mattered more than achieving their stated goals.

I say this having been on the inside of this one for a while. I grew up in this climate.

I also say this with no sense of blame or condemnation. I'm just pointing out an error mode.

I think you're gesturing at a related one here.

This is why I put inner work as a co-requisite (and usually a prerequisite) for doing worthwhile activism. Passion is an anti-helpful replacement for inner insight.

8Eli Tyre1mo
I think this is basically correct: if people don't get right with their own intentions and motivations, it can sabotage their activism work.
7agrippa1mo
To this effect I have advocated that we should call it "Different Altruism" instead of "Effective Altruism", because by leading with the idea that a movement involves doing altruism better than status quo, we are going to trigger and alienate people part of status quo that we could have instead won over by being friendly and gentle. I often imagine a world where we had ended up with a less aggressive and impolite name attached to our arguments. I mean, think about how virality works: making every single AI researcher even slightly more resistant to engaging your movement (by priming them to be defensive) is going to have massive impact on the probability of ever reaching critical mass.
6lc1mo
Correct, and that's why I took that approach.

Agree that this is definitely a plausible strategy, and that it doesn't get anywhere near as much attention as it seemingly deserves, for reasons unknown to me. Strong upvote for the post, I want to see some serious discussion on this. Some preliminary thoughts:

  • How did we get here?
    • If I had to guess, the lack of discussion on this seems likely due to a founder effect. The people pulling the alarm in the early days of AGI safety concerns were disproportionately to the technical/philosophical side rather than to the policy/outreach/activism side. 
    • In early days, focus on the technical problem makes sense. When you are the only person in the world working on AGI, all the delay in the world won't help unless the alignment problem gets solved. But we are working at very different margins nowadays.
    • There's also an obvious trap which makes motivated reasoning really easy. Often, the first thing that occurs when thinking about slowing down AGI development is sabotage - maybe because this feels urgent and drastic? It's an obviously bad idea, and maybe that lets us to motivated stopping.
  • Maybe the "technical/policy" dichotomy is keeping us from thinking of obvious ways we could be making th
... (read more)

You should submit this to the Future Fund's ideas competition, even though it's technically closed. I'm really tempted to do it myself just to make sure it gets done, and very well might submit something in this vein once I've done a more detailed brainstorm.

Probably a good idea, though I'm less optimistic about the form being checked. I'll plan on writing something up today. If I don't end up doing that today for whatever reason, akrasia, whatever, I'll DM you.

I am confident that they would not let it being technically closed stop them from considering the proposal if someone they respected pointed at the proposal (and likely even if they didn't), and I'd be happy to do the pointing for you if necessary. If that seems necessary, DM me.

9Yitz2mo
Please DM me if you end up starting some sort of project along these lines. I have some (admittedly limited) experience working in media/public relations, and can probably help a bit.

For anyone else also interested, you should add yourself on this spreadsheet. https://docs.google.com/spreadsheets/d/1WEsiHjTub9y28DLtGVeWNUyPO6tIm_75bMF1oeqpJpA/edit?usp=sharing

It's very useful for people building such an organisation to know of interested people, and vice versa.

If you don't want to use the spreadsheet, you can also DM me and I'll keep you in the loop privately. 

If you're making such an organisation, please contact me. I'd like to work with you. 

4rhaps0dy1mo
Also, the people pulling the alarm in the early days of AGI safety concerns, are also people interested in AGI. They find it cool. I get the impression that some of them think aligned people should also try to win the AGI race, so doing capabilities research and being willing to listen to alignment concerns is good. (I disagree with this position and I don't think it's a strawman, but it might be a bit unfair.) Many of the people that got interested in AGI safety later on also find AGI cool, or have done some capabilities research (e.g. me), so thinking that what we've done is evil is counterintuitive.
2Dirichlet-to-Neumann1mo
Yeah most people in the AGI safety concern group are also technological progress enthusiasts (with good reason, technological progress is generally awesome). And the recent string of "alignement startup" fondations points toward an unhealthy mix of capacity and safety research.
So imagine my surprise when I informally learn that this sort of thinking is taboo.

It's not taboo. I've been discussing whether we should do this with various people off and on for the past five years. People take these ideas seriously. Just because people don't agree, or don't take it seriously enough, doesn't mean it's taboo!

FWIW I think it's a good idea too (even though for years I argued against it!). I think it should be done by a well-coordinated group of people who did lots of thinking and planning beforehand (and coordinating with the broader community probably) rather than by lone wolves (for unilateralist's curse reasons.)

It seems “taboo” to me. Like, when I go to think about this, I feel … inhibited in some not-very-verbal, not-very-explicit way. Kinda like how I feel if I imagine asking an inane question of a stranger without a socially sensible excuse, or when a clerk asked me why I was buying so many canned goods very early in Covid.

I think we are partly seeing the echoes of a social flinch here, somehow. It bears examining!

Open tolerance of the people involved with status quo and fear of alienating / making enemies of powerful groups is a core part of current EA culture! Steve's top comment on this post is an example of enforcing/reiterating this norm. 

It's an unwritten rule that seems very strongly enforced yet never really explicitly acknowledged, much less discussed. People were shadow blacklisted by CEA from the Covid documentary they funded for being too disrespectful in their speech re: how governments have handled covid.  That fits what I'd consider a taboo, something any socially savvy person would pick up on and internalize if they were around it.  

Maybe this norm for open tolerance is downstream of the implications of truly considering some people to be your adversaries (which you might do if you thought delaying AI development by even an hour was a considerable moral victory, as the OP seems to). Doing so does expose you to danger. I would point out that while lc's post analogizes their relationship with AI researchers to Isreal's relationship with Iran.  When I think of Israel's resistance to Iran nonviolence is not the first thing that comes to mind.

FYI, I thought this sort of idea was an obvious one, and I've been continuously surprised that it didn't have more discussion. I don't feel inhibited and am sort of surprised you are.

(I do think there's a lot of ways to do this badly, with costs on the overall coordination-commons, so, maybe I feel somewhat inhibited from actually going off to do the thing. But I don't feel inhibited from brainstorming potential ways to address the costs and thinking about how to do it)

4Raemon1mo
(kinda intrigued by the notion of there being dark-matter taboos)
9Daniel Kokotajlo1mo
OK! Well, I can't speak for everyone's experiences, only my own. I don't think this subject should be taboo and I'm glad people are talking more about it now.
5abramdemski1mo
I feel similarly.
3Brangus1mo
I also find it somewhat taboo but not so much that I haven’t wondered about it.

You're right that it's not actually taboo. Shouldn't have used that word. Just seemed so far like I got a lot of weird resistance when I brought it up.

My experience agrees with yours. I thought "taboo" was a bit strong, but I immediately got what you meant and nodded along.

Daniel, why did you argue against it and what changed your mind?

The main argument I made was: It's already very hard to get governments and industry to meaningfully limit fossil fuel emissions, even though the relevant scientists (climatologists etc.) are near-unanimous about the long-term negative consequences. Imagine how much harder it would be if there wasn't a separate field of climatology, and instead the only acknowledged experts on the long-term effects of fossil fuels were... petroleum industry engineers and executives! That's the situation with AGI risk. We could create a separate field of AI risk studies, but even better would be to convince the people in the industry to take the risk seriously. Then our position would be *better* than the situation with climate change, not worse. How do we do this? Well, we do this by *not antagonizing the industry*. So don't call for bans, at least not yet.

The two arguments that changed my mind:

(a) We are running out of time. My timelines dropped from median 2040ish to median 2030ish.

(b) I had assumed that banning or slowing down AGI research would be easier the closer we get to AGI, because people would "wake up" to the danger after seeing compelling demonstrations and warning shots etc. However I... (read more)

2johnlawrenceaspden1mo
Ah, OK, that all sounds pretty sensible. I think 'this sort of thinking' is doing a lot of work here. I agree that sponsoring mobs to picket DeepMind HQ is just silly and will probably make things harder. I think buttonholing DeepMind people and government people and trying to convince them of the dangers of what they're doing is something we should have been doing all along. I got the impression that the late Dominic Cummings was on our side just organically without anyone needing to persuade him, in fact I seem to remember Boris Johnson saying something silly about terminators just before the covid kerfuffle broke out. It may not be too hard to convince people. If at the very least we can get people to only do this sort of thing in secret government labs run by people who know perfectly well that they're messing with world-ending weapons in defiance of international treaties that's a start. Not that that will save us, but it might be slower than the current headlong rush to doom. If things go really well we might hang on long enough to experience grey goo or a deliberately engineered pandemic! Half the problem is that the people who actually do AI research seem divided as to whether there's any danger. If we can't convince our own kind, convincing politicians and the like is going to be hard indeed. All I've got is ill-formed intuitions. I read one science-fiction story about postage stamps ten years ago and became a doomer on the spot. I think maths and computer people are unusually easy to convince with clear true arguments and if we come up with some we might find getting most of the industry on side easier than everyone seems to think. Have we tried to actually express our arguments in some convincing way? I'm thinking it's not actually a very complicated argument, and most of the objections people come up with on the spot are easy enough to counter convincingly. Some sort of one-page main argument with an FAQ for frequently thought of objections might wi
4abramdemski1mo
Did he die? If so, it's not in the news. (I mean, I did a quick search and didn't find it.)
8johnlawrenceaspden1mo
Oh god, sorry, I just can't stop myself. I mean his political reputation is shredded beyond hope of repair. Loathed by the people of the UK in the same way that Tony Blair is, and seen as brilliant but disloyal in the same way that the guy in Mad Men is after he turns on the tobacco people. We may be touching on the mind-killer here. Let us speak of such things no further. Dominic Cummings lives, a prosperous gentleman. Dominic Cummings is not dead, and I should remember that my ironic flourishes are likely to be taken literally because other people on the internet don't have the shared context that I would have if I was sounding off in the pub.
2abramdemski1mo
Thanks for the clarification!
1rhaps0dy1mo
No, I think John is saying he died politically; that is, he no longer holds power. This is definitely overstated (he might get power in the future) and confusing.

One thing to consider: if we successfully dissuade deepmind researchers from working on AGI, who actually do take alignment issues a little bit seriously, does it instead get developed by meta researchers who (for the sake of argument) don't care?

More generally you're not going to successfully remove everyone from the field. So the people you'll remove will be those who are most concerned about alignment, leaving those who are least concerned to discover AGI.

It's certainly a consideration, and I don't want us to convince anybody who is genuinely working on alignment at DeepMind to leave. On the other hand, I don't think their positive affinity towards AGI alignment matters much if what they are doing is accelerating its production. This seems a little like saying "you shouldn't get those Iranian nuclear researchers to quit, because you're removing the 'checks' on the other more radical researchers". It's probably a little naive to assume they're "checking" the other members of DeepMind if their name is on this blog post: https://www.deepmind.com/blog/generally-capable-agents-emerge-from-open-ended-play.

This is also probably ignoring the maybe more plausible intermediate success of outreach, which is to get someone who doesn't already have concerns to have them, who then keeps their job because of inertia. We can still do a lot of work getting those who refuse to quit to help move organizations like OpenAI or DeepMind more toward actual alignment research, and create institutional failsafes.

2Pattern1mo
I think a case could be made that if you don't want Eleuther making X public, then it is also bad for DeepMind or OpenAI to make X.
4lc1mo
I would make that case. In this circumstance it's also definitely the far lesser evil.
4Roko Jelavić1mo
Within the pessimistic hypothesis it does not matter who develops AGI, in any case our death is almost certain.
1Not Relevant1mo
The goal here should be social consensus about individual disincentives to misaligned deployment - stopping individual research labs has a pretty modest ROI. (If they pivot their attention given social consensus, that’s up to them.)

Not that you said otherwise, but just to be clear: it is not the case that most capabilities researchers at DeepMind or OpenAI have similar beliefs as people at EleutherAI (that alignment is very important to work on). I would not expect it to go well if you said "it seems like you guys are speeding up the deaths of everyone on the planet" at DeepMind.

Obviously there are other possible strategies; I don't mean to say that nothing like this could ever work.

Completely understood here. It'd be different for OpenAI, even more different for DeepMind. We'd have to tailor outreach. But I would like to try experimentation.

3johnlawrenceaspden1mo
I've found over the years that people only ever get really angry at you for saying curious things if they think those ideas might be true. Maybe we're already half-way there at DeepMind!

Thanks a lot for doing this and posting about your experience. I definitely think that nonviolent resistance is a weirdly neglected approach. "mainstream" EA certainly seems against it. I am glad you are getting results and not even that surprised.

You may be interested in discussion here, I made a similar post after meeting yet another AI capabilities researcher at FTX's EA Fellowship (she was a guest, not a fellow): https://forum.effectivealtruism.org/posts/qjsWZJWcvj3ug5Xja/agrippa-s-shortform?commentId=SP7AQahEpy2PBr4XS
 

Are you aware of Effective Altruism's AI governance branch? I didn't look into it in detail myself, but there are definitely dozens of people already working on outreach strategies that they believe to be the most effective. FHI, CSER, AI-FAR, GovAI, and undoubtedly more groups have projects ongoing for outreach, political intervention, etc. with regards to AI Safety. If you want to spend your marginal time on stuff like this, contact them.

It does appear true that the lesswrong/rationalist community is less engaged with this strategy than might be wise, but I'm curious if those organisations would say if people currently working on technical alignment research should switch to governance/activism, and what their opinion is on activism. 80,000 hours places AI technical research above AI governance in their career impact stack, though personal fit plays a major part.

9lc2mo
I was not aware. Are these outreach strategies towards the general public with the aim of getting uninvolved people to support AI alignment efforts, or are they toward DeepMind employees to get them to stop working so hard on AGI? I know there are lots of people raising awareness in general, but that's not really the goal of the strategy that I've outlined.

Much of the outreach efforts are towards governments, and some to AI labs, not to the general public.

I think that because of the way crisis governance often works, if you're the designated expert in a position to provide options to a government when something's clearly going wrong, you can get buy in for very drastic actions (see e.g. COVID lockdowns). So the plan is partly to become the designated experts.

I can imagine (not sure if this is true) that even though an 'all of the above' strategy like you suggest seems like on paper it would be the most likely to produce success, you'd get less buy in from government decision-makers and be less trusted by them in a real emergency if you'd previously being causing trouble with grassroots advocacy. So maybe that's why it's not been explored much.

This post by David Manheim does a good job of explaining how to think about governance interventions, depending on different possibilities for how hard alignment turns out to be: https://www.lesswrong.com/posts/xxMYFKLqiBJZRNoPj/

6MMMaas1mo
In case of interest, I've been conducting AI strategy research with CSER's AI-FAR [https://www.ai-far.org/] group, amongst others a project to survey historical cases of (unilaterally decided; coordinated; or externally imposed) technological restraint/delay, and their lessons for AGI strategy (in terms of differential technological development, or 'containment'). (see longlist of candidate case studies, including a [subjective] assessment of the strength of restraint, and the transferability to the AGI case) https://airtable.com/shrVHVYqGnmAyEGsz [https://airtable.com/shrVHVYqGnmAyEGsz] This is still in-progress work, but will be developed into a paper / post within the next month or so. --- One avenue that I've recently gotten interested in, though I've only just gotten to read about it and have large uncertainties about it, is the phenomenon of 'hardware lotteries' in the historical development of machine learning -- see https://arxiv.org/abs/2009.06489 [https://arxiv.org/abs/2009.06489] -- to describe cases were the development of particular types of domain specialized compute hardware make it more costly [especially for e.g. academic researchers, probably less so for private labs] to pursue particular new research directions.
1tamgent15d
These are really interesting, thanks for sharing!

I think this post makes sense given the premises/arguments that I think many people here accept: that AG(S)I is either amazingly good or amazingly bad, and that getting the good outcome is a priori vastly improbable, and that the work needed to close the gap between that prior and a good posterior is not being done nearly fast enough.

I don't reject those premises/arguments out of hand, but I definitely don't think they're nearly as solid as I think many here do. In my opinion, the variance in goodness of reasonably-thinkable post-AGSI futures is mind-bogglingly large, but it's still probably a bell curve, with greater probability density in the "middle" than in super-heaven or ultra-hell. I also think that just making the world a better place here and now probably usually helps with alignment.

This is probably not the place for debating these premises/arguments; they're the background of this post, not its point. But I do want to say that having a different view on that background is (at least potentially) a valid reason for not buying into the "containment" strategy suggested here.

Again, I think my point here is worthwhile to mention as one part of the answer to the post's question "why don't more people think in terms of containment". I don't think that we're going to resolve whether there's space in between "friendly" and "unfriendly" right here, though.

3johnlawrenceaspden1mo
We might. High dimensional space, tiny target area for anything particularly emotionally salient. Like finding a good book in the Library of Babel. Mostly the universe gets turned into random rubbish.

Am I the only one who thinks that the world as it is is unbelievably, fantastically, super bad? The concept of an AI destroying the world would only be bad because it would prevent a very good potential future from coming into existence, that could not otherwise happen. Stopping the AI would remove all hope of it ever happening. 

I'm happy most days. 

Not speaking for Flaglandbase, but I'd argue the world right now (or rather, life on earth) is super bad because it's dominated by animal suffering. I'm also happy most days.

1rhaps0dy1mo
I agree with this, and the overall history of the world is definitely on balance extreme suffering. For farmed animals in particular, we don't need AGI to end their plight. Just regular economic growth and advocacy will do. Also, given how much time we've been suffering already, and how much is at stake; would it be so bad to delay AGI by 100 or 200 years? We can do a lot of alignment research in that time.
2Rafael Harth1mo
Yeah, if I got to decide, I would barely factor in how bad the world is right now. Delay AGI until it's outweighed by other x-risks.
5Yitz2mo
Depends how much you value suffering vs pleasure I guess. If you think it’s better to exist, and experience positive things at the cost of great suffering, then this world is pretty awesome. If you would rather not exist (or more accurately believe that most beings would rather not exist if they had the choice), then things look pretty bad…
4Rafael Harth2mo
I agree the world right now is super bad. However, "delay AGI until we really know what we're doing" doesn't seem all that much harder than "delay AGI forever", and most people do agree that alignment is solvable.[1] [#fn-f2RmDomLpuQjWJKrr-1] Right now, we still have far more people working on capability (and they've been working on it for far longer); if we could change this, alignment may even get solved relatively quickly. -------------------------------------------------------------------------------- 1. Eliezer has said this explicitly, e.g. on the sam harris podcast [https://intelligence.org/2018/02/28/sam-harris-and-eliezer-yudkowsky/] (CTRL+F "alignment is impossible") ↩︎ [#fnref-f2RmDomLpuQjWJKrr-1]

An argument like "well, what if you actually radicalize the Iranians into hardening their stance on developing nuclear weapons through all of this discouragement" would also be unsatisfying.

Bruce Bueno de Mesquita's game theoretic computer models predict that this is what happens for the sanctions in Iran. They destroy the domestic opposition to developing nuclear weapons. 

Going a bit meta, the fact that this post seems to receive majority agreement makes me question the degree to which the consensus against it is real (as supposed to a signaling equilibrium). And I also want to mention that I figured from the title that this was about AI boxing, and it's possible that others haven't clicked on it because AI boxing doesn't seem that interesting.

6lc2mo
I'm shit at titles. How do I do the title without giving away the punchline?
8johnlawrenceaspden1mo
It's a great title for what the post says! And it drew my interest immediately. If what you want is a clickbait title, "Break Glass in Case of Doom", "10 reasons why doom is not inevitable", "The Doom-Averting Secret that Big AI Alignment Doesn't Want You to Know About", etc... Although those are all old-people clickbait. Modern clickbait probably works differently: "This fashionable teenage influencer wants to use the power of TikTok to save the world?!"
2Rafael Harth2mo
I would have probably called it something like "The Case for the Social Approach to AI Safety", which would give away the punchline. Maybe "What can actually/still/[] be done do if alignment is doomed"
And the best part of this is that instead of telling people who might already be working in some benign branch of ML that there's this huge problem with AGI, who can potentially defect and go into that branch because it sounds cool, you're already talking to people who, from your perspective, are doing the worst thing in the world. There's no failure mode where some psychopaths are going to go be intrigued by the "power" of turning the world into paperclips. They're already working at DeepMind or OpenAI. Personally, I think that failure mode is overblown,
... (read more)

I’m not persuaded by this argument because developing AGI is not purely a negative. AGI could either have a massive positive result (an aligned AI) or a massive negative result (an unaligned AI). Because of winner-takes-all effects, it’s likely that whichever AI is developed first will determine the overall outcome. So one way to decrease the chance of an unfriendly AI is to stop all AI research and another way to do this is to develop a friendly AI first.

We know that multiple agencies worldwide are working on developing AI. Moreover, it’s might be that th... (read more)

The consensus among alignment researchers is that if AGI were developed right now it would be almost certainly a negative. We simply don't know how one would ensure a superintelligence was benevolent yet, even theoretically. The argument is more convincing if you agree with that assessment, because the only way to get benevolent AI becomes to either delay the creation of AGI until we do have that understanding or hope that the understanding arrives in time. 

The argument also becomes more convincing if you agree with the assessment that advancements toward AGI aren't going to be driven mostly by moore's law and is instead going to be concentrated in a few top research and development companies - DeepMind, Facebook AI labs, etc. That's my opinion and it's also one I think is quite reasonable. Moore's law is slowing down. It's impossible for someone like me to predict how exactly AGI will be developed, but when I look at the advancements in AGI-adjacent-capabilities-research in the last ten years, it seems like the big wins have been in research and willingness to spend from the big players, not increased GPU power. It's not like we know of some algorithm right now which we just need 3 OOMs more compute for, that would give us AGI. The exception to that would maybe be full brain emulation, which obviously comes with reduced risk.

7Kaj_Sotala1mo
We also don't know what an actual superintelligence would look like; it could be that the lack of alignment understanding is an inevitable consequence of our capabilities understanding not being there yet. For the nuclear analogy, you couldn't design a safe nuclear power plant before you understood what nuclear fission and radioactivity were in the first place. As an another example, InstructGPT [https://www.lesswrong.com/posts/dypAjfRCe4nyasGSs/new-gpt3-impressive-capabilities-instructgpt3-1-2] is arguably a more "aligned" version of GPT-3, but it seems unlikely that anyone could have figured out how to better align language models before language models were invented.
4Jack Ryan1mo
Could you say more about this hypothesis? To me, it feels likely that you can get crazy capabilities from a black box that you don't understand and so whose behavior/properties you can't verify to be acceptable. It's not like once we build a deceptive model we will know what deceptive computation looks like and how to disincentivize it (which is one way your nuclear analogy could translate). It's possible, also, that this is about takeoff speeds, and that you think its plausible that e.g. we can disincentivize deception by punishing the negative consequences it entails (if FOOM, can't since we'd be dead).
7Kaj_Sotala1mo
Or maybe once our understanding of intelligent computation in general improves, it will also give us the tools for better identifying deceptive computation. E.g. language models are already "deceptive" in a sense - asked something that it has no clue about, InstructGPT will happily come up with confident-sounding nonsense [https://twitter.com/xuenay/status/1509808406458216449]. When I shared that, multiple people pointed out that its answers sound like the kind of a student who's taking an exam and is asked to write an essay about a topic they know nothing about, but they try to fake their way through anyway (that is, they are trying to deceive the examiner). Thus, even if you are doing pure capabilities research and just want your AI system to deliver people accurate answers, it is already the case that you can see a system like InstructGPT "trying to deceive" people. If you are building a question-answering system, you want to build one that people can trust to give accurate answers rather than impressive-sounding bullshit, so you have the incentive to work on identifying and stopping such "deceptive" computations as a capabilities researcher already. This means that the existence of InstructGPT gives you both 1) a concrete financial incentive to do research for identifying and stopping deceptive computation 2) a real system that actually carries out something like deceptive computation, which you can experiment on and whose behavior you can make use of in trying to understand the phenomenon better. That second point is something that wouldn't have been the case before our capabilities got to this point. And it might allow us to figure out something we wouldn't have thought of before we had a system with this capability level to tinker with.
2Jack Ryan1mo
[ETA: I'm not that sure of the below argument] Thanks for the example, but it still seems to me that this sort of thing won't work for advanced AI. If you are familiar with the ELK report, you should be able to see why. [Spoiler below] Even if you manage to learn the properties of what looks like deception to humans, and instill those properties into a loss function, then it seems like you are still more likely to get a system that tells you what humans think the truth is, avoiding what humans would be able to notice as deception, rather than telling you what the truth actually seems to be (given what it knows). The reason is that, as AI develops, programs that are capable of the former thing have constant complexity, but programs that are capable of the latter thing have complexity that grows with the complexity of the AI's models of the world, and so you should expect that the former is favored by SGD. See this part [https://docs.google.com/document/d/1WwsnJQstPq91_Yh-Ch2XRL8H_EpsnjrC1dwZXR37PC8/edit#heading=h.lltpmkloasiz] of the ELK document for a more detailed description of this failure mode.
2Kaj_Sotala1mo
What sort of thing? I didn't mean to propose any particular strategy for dealing with deception, I just meant to say that now OpenAI has 1) a reason to figure out deception and 2) a concrete instance of it that they can reason about and experiment with and which might help them better understand exactly what's going on with it. More generally, the whole possibility that I was describing was that it might be impossible for us to currently figure out the right strategy since we are missing some crucial piece of understanding. If I could give you an example of some particularly plausible-sounding strategy, then that strategy wouldn't have been impossible to figure out with our current understanding, and I'd be undermining my whole argument. :-) Rather, my example was meant to demonstrate that it has already happened that * Progress in capabilities research gives us a new concrete example of how e.g. deception manifests in practice, that can be used to develop our understanding of it and develop new ideas for dealing with it. * Capabilities research reaches a point where even capabilities researchers have a natural reason to care about alignment, reducing the difference between "capabilities research" and "alignment research". * Thus, our understanding and awareness of deception is likely to improve as we get closer to AGI, and by that time we will have already learned a lot about how deception manifests in simpler systems and how to deal with it, and maybe some of that will suggest principles that generalize to more powerful systems as well (even if a lot of it won't). It's not that I'd put a particularly high probability on InstructGPT by itself leading to any important insights about either deception in particular or alignment in general. I-GPT is just an instance of something that seems likely to help us understand deception a little bit better. And given that, it seems reasonable to expect that further capabilities development will a
1Jack Ryan1mo
I mean to argue against your meta-strategy which relies on obtaining relevant understanding about deception or alignment as we get larger models and see how they work. I agree that we will obtain some understanding, but it seems like we shouldn't expect that understanding to be very close to sufficient for making AI go well (see my previous argument), and hence not a very promising meta-strategy.
2Kaj_Sotala1mo
I read your previous comment as suggesting that the improved understanding would mainly be used for pursuing a specific strategy for dealing with deception, namely "to learn the properties of what looks like deception to humans, and instill those properties into a loss function". And it seemed to me that the problem you raised was specific to that particular strategy for dealing with deception, as opposed to something else that we might come up with?
6CarlShulman2mo
This isn't true [https://www.alignmentforum.org/posts/QvwSr5LsxyDeaPK5s/existential-risk-from-ai-survey-results] . [ETA: I linked the wrong survey before.]
8Thomas Kwa2mo
I don't see anything in the linked survey about a consensus view on total existential risk probability from AGI. The survey asked researchers to compare between different existential catastrophe scenarios, not about their total x-risk probability, and surely not about the probability of x-risk if AGI were developed now without further alignment research.

Maybe Carl meant to link this one

5CarlShulman1mo
You're right, my link was wrong, that one is a fine link.
2CarlShulman1mo
You're right, I linked the wrong survey!
2Pattern1mo
I notice you didn't mention EleutherAI.
1gbear6052mo
Is that true? I thought that I had read Yudkowsky estimating that the probability of an AGI being unfriendly was 30% and that he was working to bring that 30% to 0%. If alignment researchers are convinced that this is more like 90+%, I agree that the argument becomes much more convincing. I agree that these two questions are the cruxes in our positions.

I thought that I had read Yudkowsky estimating that the probability of an AGI being unfriendly was 30% and that he was working to bring that 30% to 0%. 

That's not Yudkowsky's current position. https://www.lesswrong.com/posts/j9Q8bRmwCgXRYAgcJ/miri-announces-new-death-with-dignity-strategy describes the current view and in the comments, you see the views of other people at MIRI.

Yudkoskwy is at 99+% that AGI right now would kill humanity.

1talelore2mo
April Fools!

Also, look at his bet with Bryan Caplan. He's not joking.

And, also, Jesus, Everyone! Gradient Descent, is just, like, a deadly architecture. When I think about current architectures, they make Azathoth look smart and cuddly. There's nothing friendly in there, even if we can get cool stuff out right now.

I don't even know anymore what it is like to not see it this way. Does anyone have a good defense that current ML techniques can be stopped from having a deadly range of action?

9Rafael Harth2mo
Probably not; Eliezer addressed this in Q6 of the post, and while it's a little ambiguous, I think Eliezer's interactions with people who overwhelmingly took it seriously basically prove that it was serious; see in particular this interaction [https://www.lesswrong.com/posts/j9Q8bRmwCgXRYAgcJ/miri-announces-new-death-with-dignity-strategy?commentId=gJexjJ55RSxfkvjnw#comments] . (But can we not downvote everyone into oblivion just for drawing the obvious conclusion without checking?)
7Valentine1mo
I first heard Eliezer describe "dying with dignity" as a strategy in October 2021. I'm pretty sure he really means it.
8lc2mo
I am not sure if he's given another number explicitly, but I'm almost positive that Yudkowsky does not believe that. The probability that an AGI will be end up being aligned "by default" is epsilon. Maybe he said at one point that there was a 30% chance that AGI will be what destroys the world if it's developed, given alignment efforts, but that doesn't sound to me like him either. You should read the most recent post [https://www.lesswrong.com/posts/j9Q8bRmwCgXRYAgcJ/miri-announces-new-death-with-dignity-strategy] he made on the subject; it's extraordinarily pessimistic about our future. He mentions multiple times that he thinks the probability of success here need to be measured in log-odds. He very sarcastically uses april fools at the end as a sort of ambiguity shield, but I don't think anybody believes he isn't being serious.
1gbear6052mo
I’m not convinced that the odds mentioned in that post are meant to be taken literally, given it being an April Fools post, as opposed to just metaphorically and pointed in a direction. He does also mention in that post that in the past he thought the odds were 50%, so perhaps I’m just remembering an old post from sometime between the 50% days and the epsilon days.
3johnlawrenceaspden1mo
The most optimistic view I've heard recently is Vanessa Kosoy claiming 30% chance of pulling it off. Not sure where consensus would be, but I read MIRI as 'almost certain doom'. And I can't speak for Eliezer, but if he ever thought that there was ever any hope that AGI might be aligned 'by chance', that thought is well concealed in everything he's written for the last 15 years. What he did once think was that it might be possible, with heroic effort, to solve the alignment problem. There is no reason why my personal opinion should matter to you, but it is: "We are fucked beyond hope. There is no way out. The only question is when."
3JBlack2mo
I don't know what his earliest writing may have said, but his writing in the past few years has definitely not assigned anywhere near as high a probability as 70% to friendly AI. Even if he had, and it was true, do you think a 30% chance of killing every human in existence (and possibly all life in the future universe) is in any way a sane risk to take? Is it even sane at 1%? I personally don't think advancing a course of action that has even an estimated 1% chance of permanent extinction is sane. While I have been interested in artificial intelligence for decades and even started my PhD study in the field, I left it long ago and have quite deliberately not attempted to advance it in any way. If I could plausibly hinder further research, I would. Even alignment research seems akin to theorizing a complicated way of poking a sleeping dragon-god prophesied to eat the world, in such a manner that it will wake up friendly instead. Rather than just not poking it at all and making sure that nobody else does either, regardless of how tempting the wealth in its hoard might be. Even many of the comparatively good outcomes in which superintelligent AI faithfully serves human goals seem likely to be terrible in practice.
4gbear6052mo
It’s worth it to poke the dragon with a stick if you have only a 28% chance of making it destroy the world while the person who’s planning to poke it tomorrow has a 30% chance. If we can prevent those people in a different way then great, but I’m not convinced that we can.
2JBlack2mo
It doesn't help at all in the case where the research you're doing makes it significantly more likely that they will be equipped with stronger sticks and have greater confidence in poking the dragon tomorrow.

I have thought this exact thing for something like 2 years. I do think there are some potential backfire risks which make this an uncertain strategy. 

 

  1. slowing AI progress in the US and Europe, which is where OpenAI, DeepMind, Meta, etc. are located, does not neccesarily mean that AI progress in China slows as well. To the degree that you think US AI research will be more aligned than China's, this differential slowing of AI progress could be net negative.
  2. slowing AI progress in legible companies and labs may push AI research into more illegible pl
... (read more)

What do you think about offering an option to divest from companies developing unsafe AGI? For example, by creating something like an ESG index that would deliberately exclude AGI-developing companies (Meta, Google etc) or just excluding these companies from existing ESGs. 

The impact = making AGI research a liability (being AGI-unsafe costs money) + raising awareness in general (everyone will see AGI-safe & AGI-unsafe options in their pension investment menu + a decision itself will make a noise) + social pressure on AGI researchers (equating them... (read more)

4lc2mo
At first my reaction was something like, "the teams have been acquired by large trillion dollar technology companies and so a dollar moved away from those companies is probably a bit less than a penny moved away from AGI development. This sounds very inefficient." But as a publicly announced way to incentivize defunding DeepMind it's at least theoretically very efficient. If I controlled BlackRock I could say "I will divest x$ from Google as a whole unless you divest x/y$ from DeepMind's meta research toward legitimate AI safety" and it would be pretty strongly in Google's interest to do so. The difficulties lie in all of the details - you'd want to make the campaign extremely boring except for the people you care about , evaluate leadership of Google/Facebook/Microsoft to see how they'd react, coordinate the funds so that the shareholder activists have clear and almost auto-enforced terms, etc. The failure mode for this ironically looks something like how the U.S. does its sanctions, where we do a very poor job of dictating clear terms and goals, and increasing or decreasing pressure quickly and transparently in response to escalation and de-escalation. We also really wouldn't want these strategies to backfire by giving any fired meta researchers a reason to hate us personally and be less sympathetic. Finding some way to "cancel" AGI researchers would honestly feel really good to me but even under the best circumstances it'd be really ineffective. We don't want them disgruntled and working somewhere else on the same thing, I want them to have something else to do that doesn't lead to the collapse of the lightcone.
3Chris_Leong1mo
A suggestion from my brother: https://forum.effectivealtruism.org/posts/KigFfo4TN7jZTcqNH/the-future-fund-s-project-ideas-competition?commentId=hRJxxhKtbKj8fhDd5

Iran is an agent, with a constrained amount of critical resources like nuclear engineers, centrifuges, etc.

AI development is a robust, agent-agnostic process that has an unlimited number of researchers working in adjacent areas who could easily cross-train to fill a deficit, an unlimited number of labs which would hire researchers from DeepMind and OpenAI if they closed, and an unlimited amount of GPUs to apply to the problem. 

Probably efforts at getting the second-tier AI labs to take safety more seriously, in order to give the top tier more slack, w... (read more)

AI development is a robust, agent-agnostic process that has an unlimited number of researchers working in adjacent areas who could easily cross-train to fill a deficit...and an unlimited amount of GPUs to apply to the problem. 

  1. It's important to recognize there are not actually an unlimited amount of GPUs, labs, dollars, or talented enough people available to allocate toward AGI development. People in particular is the sticking point for me here; there's literally a highly constrained amount with the intelligence necessary to do and publish high level productive work in this kind of arena. It's this reason that the second-tier labs are already an order of magnitude less effective than DeepMind. Maybe Oppenheimer or John von Neumann were unimportant to atomic bomb development timelines because they would just be replaced by someone else in the event that they found out it was going to cause the atmosphere to light up, but I doubt it.
  2. This model treats the "product" DeepMind, Meta, and OpenAI generate in publishing research as having some static underlying driving propulsion like "market demand". I don't think there is actual market demand, in the monetary sense. From an sharehold
... (read more)
2Mitchell_Porter2mo
Google, Microsoft, and Facebook are all developing AI. So are Tencent, Sberbank, and the NSA. So are thousands of startups. The most important thing is to solve the real problem - to design AI which, even when autonomous and smarter than human, has "friendly" values. (Just to be concrete, 22:30 here [https://www.youtube.com/watch?v=2afdrE81yvg] gives an example of what such a design could look like, albeit while still at a very theoretical and schematic stage.) So you can try to speed up AI alignment research, and you can also try to slow down unaligned AI research. But there are thousands of independent research centers doing unaligned AI. OK, in the present, maybe there's just a handful which are the ones at immediate risk of creating unaligned, autonomous, smarter-than-human AI. They're mostly in huge powerful organizations, and there would be secret projects at the same level that you don't know about - but OK, maybe you can make an impact somehow, by sabotaging TPU production, or by getting the UNSC to work with NeurIPS on a global regulatory regime, or... You know, it's going to be hard to stop these organizations from reaching for ultimate power. Putin already said a few years back, the nation that controls AI, controls the world. But also, the level of computing power and software knowledge required to become an immediate risk, gets lower over time. Maybe you can achieve a temporary tactical success through these preventive interventions, but for a primarily preventive strategy to work, you would have to change the entire direction of technological culture in this multipolar world. Also, the work that we already know about, from the big organizations we know about, is already alarmingly close to the point of no return. Proliferation will keep happening, but maybe we already know the name of the organization that will be the architect of our fate, we just don't know which it shall be. On the other hand: if you can solve the problem of friendliness, the pr

If we're in a situation where it's an open secret that a certain specific research area leads to general artificial intelligence, we're doomed. If we get into a position where compute is the only limiting factor, we're doomed. There's no arguing there. The goal is to prevent us from getting into that situation.

As it stands now, certainly lots of companies are practicing machine learning. I have secondhand descriptions of a lot of the "really advanced" NSA programs and they fit that bill. Not a lot of organizations I know of however are actually pushing the clock hand forward on AGI and meta. Even fewer are doing that consistently, or getting over the massive intellectual hurdles that require a team like DeepMind's. Completing AGI will probably be the result of a marriage of increased computing power, which we can't really control, and insights pioneered and published by top labs, which I legitimately think we could to some degree by modifying their goals and talking to their members. OpenAI is a nonprofit. At the absolute bare minimum, none of these companies' publish their meta research for money. The worst things they seem to do at this stage aren't achieved when they're reaching for power so much as playing an intellectual & status game amongst themselves.

I don't doubt that it would be better for us to have AI alignment solved than to rely on these speculations about how AI will be engineered, but I do not see any good argument as to why it's a bad strategy.

2Mitchell_Porter2mo
If we were "doomed" in this way, would you agree that the thing to do - for those who could do it - is to keep trying to solve the problem of alignment? i.e. trying to identify an AI design that could be autonomous, and smarter than human, and yet still safe?

Let me articulate my intuitions in a little bit more of a refined way: "If we ever get to a point where there are few secrets left, or that it's common knowledge one can solve AGI with ~1000-10,000 million dollars, then delaying tactics probably wouldn't work, because there's nothing little left for DeepMind to publish that speeds up the timeline."

Inside those bounds, yes. I still think that people should keep working on alignment today, I just think other dumber people like me should try the delaying tactics I articulated in addition to funding alignment research.

I don't want to be provocative, but if there was political will to stop AGI research it could probably be stalled for a long time. In order to get that political will, not only in the West but in China as well, a pretty effective way to do it might be figure out a way to use a pre-AGI model to cause mayhem/harm that's bad enough to get the world's attention, while not being apocalyptic. 

As a random example, if AI is used somehow to take down the internet for a few days, the discourse and political urgency regarding AGI would change drastically.  A close analogue is how quickly the world started caring about Gain-of-function-research after Covid. 

1Self-Embedded Agent1mo
I fear you might be right. This is a dangerous road to tread - perhaps it is inevitable.
0agrippa1mo
Re: taboos in EA, I think it would be good if somebody who downvoted this comment said why.

I think the framing of "convince leading AI researchers to willingly work more closely with AI alignment researchers, and think about the problem more themselves" is the better goal. I don't think hampering them generally is particularly useful/effective, and I don't think convincing them entirely to "AGI is very scary" is likely either.

3lc1mo
This is such a weird sentiment to me. I hear it a lot, and predicated on similar beliefs about AGI I feel like it's missing a mood. If someone were missassembling a bomb inside a children's hospital, would you still say "hampering them generally isn't particularly useful/effective"? Would your objective be to get them to "think more about the problem themselves"? There's a lack of urgency in these suggestions that seems unnatural. The overarching instrumental goal is to get them to stop.
2Nathan Helm-Burger1mo
I just expect much better outcomes from the path of close collaboration. To me it seems like I am a "nuclear power plant safety engineer", and they are the "nuclear power plant core criticality engineers". Preventing the power plant from getting built would mean it wasn't built unsafely, but since I believe that would leave a void in which someone else would be strongly inclined to build their version... I just see the best likelihood of good outcome in the paths near 'we work together to build the safest version we can'.

There’s a trap here where the more you think about how to prevent bad outcomes from AGI, the more you realize you need to understand current AI capabilities and limitations, and to do that there is no substitute for developing and trying to improve current AI!

A secondary trap is that preventing unaligned AGI probably will require lots of limited aligned helper AIs which you have to figure out how to build, again pushing you in the direction of improving current AI.

The strategy of “getting top AGI researchers to stop” is a tragedy of the commons: They can ... (read more)

1sovran25d
Top researchers are not easy to replace. Without the 0.1st percentile of researchers, progress would be slowed much more than 0.1%

For anyone interested in working on this, you should add yourself on this spreadsheet. https://docs.google.com/spreadsheets/d/1WEsiHjTub9y28DLtGVeWNUyPO6tIm_75bMF1oeqpJpA/edit?usp=sharing

It's very useful for people building such an organisation to know of interested people, and vice versa.

If you don't want to use the spreadsheet, you can also DM me and I'll keep you in the loop privately. 

If you're making such an organisation, please contact me. I'd like to work with you. 

What is this supposed to look like if researchers are actually convinced? The whole raison d'etre for Deepmind is to create AGI. And while AGI may be a world-ending invention, many of the creations along the way are likely to be very economically valuable to Deepmind's parent company, Google.

Take for example this blog where Deepmind describes an application of AI to Google's datacenters that was able to reduce the cooling bill by 40%. What is the economic justification for supporting Deepmind researchers with a minimum salary of $400k if they aren't produc... (read more)

Strongly agree with this. In my opinion, a more effective intervention in this line would be to side with those who want to curtail the power of tech companies in the USA. For example, breaking up Meta and Google would greatly reduce their ability to fund AI development, and they're currently responsible for most of the boundary-pushing on AGI.

I think direct outreach to the AI labs is a great idea. (If coordinated and well thought out.) Trying to get them to stop building AGI seems unlikely to help IMO, though I'm not totally against it.

I'd be more interested to see targeted efforts aimed at improving safety outcomes from the major AI labs. Things like:

  1. Getting more value-aligned people in the AIS community onto the safety teams of DeepMind and OpenAI
  2. EA funders offering those labs money to increase headcount on their safety teams
  3. Other efforts to try and help tilt the culture of those labs mor
... (read more)
2rhaps0dy1mo
Why is this important? As far as I can tell, the safety teams of these two organisations are already almost entirely "value-aligned people in the AIS community". They need more influence within the organisation, sure, but that's not going to be solved by altering team composition.
1Evan R. Murphy1mo
rachelAF mentioned [https://www.lesswrong.com/posts/wrkEnGrTTrM2mnmGa/retracted-it-s-time-for-ea-leadership-to-pull-the-short?commentId=N8HvS7zi8EXWtRGqL] that she had the impression their safety teams were more talent-constrained than funding-constrained. So I inferred that getting more value-aligned people onto those teams wouldn't just alter the team composition, but increase the size of their safety teams. We probably need more evidence that those teams do still have open headcount though. I know DeepMind's does right now [https://twitter.com/rohinmshah/status/1513523985216155663], but I'm not sure whether that's just a temporary opening. You make a good point though. If the safety teams have little influence within those orgs, then it #3 may be a lot more impactful than #1. Interesting, how do you know this? Is there information about these teams available somewhere?

Agreeing with your post, I think it might be important to offer the people you want to reach out to a specific alternative what they should work on instead (because otherwise we are basically just telling them to quit their job, which nobody likes to hear). One such alternative would be AI alignment, but maybe that is not optimal for impatient people. I assume that researchers at OpenAI and DeepMind are in it because of the possibilities of advanced AI and that most of them are rather impatient to see them realized. Do you think it would be a good idea to ... (read more)

Taking for granted that AGI will kill everybody, and taking for granted that this is bad, it's confusing why we would want to mount costly, yet quite weak, and (poorly) symbolic measures to merely (possibly) slow down research.

Israel's efforts against Iran are a state effort and are not accountable to the law. What is proposed is a ragtag amateur effort against a state orders of magnitude more powerful than Iran. And make no mistake, AGI research is a national interest. It's hard to overstate the width of the chasm. 

Even gaining a few hours is pretty ... (read more)

It's hard to overstate the width of the chasm. 

I think you're overstating the width of the chasm. Where are you getting the impression that congress or the state department is so committed to AGI in a non-symbolic way? Most of the research towards AGI capabilities is done at the moment by private actors, staffed almost entirely by the kind of systematizing nerd most often concerned by existential risk. What exactly is the grand difficulty you expect scaling up the kind of outreach I outlined in the post to a slightly more hostile environment?

Tangential: I am not convinced that the current Israeli approach of "buying time" until a very likely eventual nuclear confrontation is a good approach. If the current leadership was serious about the state's survival, they would focus on "Iran alignment", not on Iran containment (similar to AI boxing). The difference is that the Iran alignment problem is actually solvable (e.g. by a voluntary withdrawal from West Bank, working on figuring out a two-state solution...).

AI alignment is much harder than "I alignment", and AI boxing is much harder still, so maybe "Dying with Dignity" in this case would mean delaying the inevitable and hoping for a miracle.

Concerning the first paragraph, I, the government, and most other Israelis disagree with that assessment. Iran has never given any indication that working on a two-state solution would appease them. As mentioned in the OP, Iran's projected goal is usually the complete removal of Israel, not the creation of a Palestinian state. On the other hand, containment of their nuclear capabilities is definitely possible, as repeated bombings of nuclear facilities can continue on forever, which has been our successful policy since the 1980s (before Iran, there was Iraq, which had its own nuclear program).

Iran would also like to not get nuked by the United States. Why isn't Iran sabotaging U.S. weapon systems, getting U.S. nuclear engineers to defect, and getting its allies to put sanctions on the U.S. conditional on disarmament?

Sometimes hard power just isn't the right solution, especially when you are a relatively small fish whose main chance at victory comes from a mutualistic relationship, not an antagonistic one.

-3lc2mo
The reason they don't do it is that Iran doesn't have the state capacity for these actions, nor would Iran be willing to risk an armed conflict with the world's most powerful military. Iran also doesn't believe the United States is ever going to nuke it, so it has little motivation to do this in the first place. None of this is analogous from Israel's perspective, so their actions make strategic sense. Iran severed all diplomatic ties with Israel in 1979 during the Iranian revolution and has steadily been more openly hostile towards Israel ever since. Solving the alignment problem would probably be an order of magnitude easier than developing a coherent plan to restore friendly diplomatic relations between Israel and Iran.
[+][comment deleted]1mo 0
[+][comment deleted]1mo 0