Looking for a way to skill-build as a student or young graduate? Consider charity trusteeship!
EAs are often good at maths/technology and less good at leadership and governance skills. This is an excellent match for (non-EA) trustee governance boards, that often have committed older people with good leadership and governance but who struggle with use of tech and maths. There are a lot of trustee vacancies around - highly absorbable - and it's an easy way to get started on tackling real issues with charities big and small!
You can help your charity act more effectively in the world using EA principles and frameworks about effective use of charitable resources, and learn experientially about practical issues than arise with those frameworks when they are implemented. Organisations like the Young Trustees Movement (UK) can mentor and support you, and the other trustees will probably have a lot of sage advice. And while trusteeship is unpaid, it also doesn't *cost* money either, so it's a fairly cheap way to do "EA as a hobby".
The EA community needs more people aged 30+ with genuine commitment and leadership skills, and should encourage people looking for principles-first EA to consider this as a life path in their 20s.
Just under a month until the Cluelessness Critiques Competition deadline. How's it going? Any hints on what people are writing about?
I think a lot of ppl studying empirical persuasion results of AI tend to overestimate the ecological validity and generalizability of those results. This isn't to say that studying empirical persuasion results is useless, just a) we should move towards better study designs in the future, and b) when looking at empirical persuasion studies you need to think carefully about not just the methodology and results but also what's reasonable to generalize and not.
I think a lot of people understand in the abstract that "ecological validity is important" but don't appreciate how difficult this is for persuasion results.
The field is already aware of some of these issues (see Appendix A), however in practice (in conversations and in the study methodology) I think many empirical researchers underestimate how big a deal these problems pose. I also think other people (eg researchers in other fields, or non-researchers) citing the studies are even less careful, and are even worse at understanding the ecological validity and generalization issues.
Appendix A (notes from Yang et. al 2026)
If there's so much EA-ish money coming, how does one "put out buckets" to collect it?
I am very concerned about relative cause prioritization among the alleged wave of philanthropy. (Personally, I expect it to me smaller than many do.) How does one shape this? For example, I really want efforts of the shape "raise the salience of AI pause as a political issue among the US public, particularly the religious mainstream." How do I influence the amount of funding that goes to that, if there's a big anticipated wave?
I’m not sure. The claim that cold outreach signals a lack of respect for boundaries is unnecessary moralising that I don’t put stock in. If your point is simply that it doesn’t work, people can find that out for themselves; I don’t think the externalities are so negative that donors need you to act as their mouthpiece on this. You’ve apologised for sounding patronising towards fundraisers; I’d be more concerned about coming across as patronising to donors, who themselves are not a homogeneous group. Some will be more receptive to thoughtful, targeted outreach than others, especially if the underlying project or work is persuasive.
I’m also uneasy with the alternative being proposed, of becoming ‘legibly excellent’ to the small set of advisers a donor already trusts. That may be good advice for organisations already close to those networks. But as a community norm - one frequently criticised as elitist - I read it as ‘don’t approach new donors directly; instead, prove yourselves to the existing gatekeepers and hope we choose to let you through.’
This post criticises people for opportunistically inserting their own projects into conversations about Anthropic wealth - while repeatedly emphasising the author’s own proximity to these donors, highlighting his own fund, and ending by recommending his own advisory. Ironically, I’m left wondering whether part of the concern about cold outreach is that, when it does work, it allows organisations to bypass the existing intermediaries. Middlemen tend not to be enthusiastic about that.
I thought the section on scaling was useful, though.
I understand where this post is coming from, but I disagree with it pretty strongly. I might write a full post to flesh out my disagreement, but here are my messy thoughts:
Note from Joe: This post was written by my colleague Mitch Howe, who lacks an EA Forum account. But I thought it worth sharing here. You can read the original at the LessWrong link above.
In my long years as a classroom teacher, it was my experience that the kid most likely to speak up during discussion was the one who did the reading.
I think it’s true for adults, too. I know that’s not exactly revelatory, but it’s one of the guiding principles behind...
Adapted from my Substack, Funding Anthropalypse.
Short version: if you want a share of the coming Anthropic and OpenAI windfall - the $37bn+ that could be in play next year - the way in is to become 'legibly excellent', so the evaluators and donors that frontier lab staff already trust point them to yo...
Very interesting that this article seems so controversial based on the comment section. From a donor side the overall point seems directionally pretty common sense to me, but this might be a reflection of my biases of course.
Perhaps one aspect that could be valuable is to provide a list of more independent advisors?
Also I guess helping Anthropic donors chat to other, similar donors might be helpful (although hard to find anyone at a relevant scale)?
Effective animal welfare campaigns target food sectors that use small animals such as chickens, fish and shrimp (cfr. cage free eggs, shrimp welfare campaigns). Those campaigns are often institutional, meaning that they aim for institutional change (cfr. corporate campaigns) instead of individual behavior change. But those most effective campaigns are welfarist (reducing the intensity of animal suffering of farmed animals), instead of reductionist (reducing the number of farmed animals used f...
Around 700 million people still live in poverty, mostly in low-income countries. Efforts to help them - by policy reform, cash transfers, or provision of health services - can be incredibly effective.
Alongside investigating this issue, we also discuss how much more effective some interventions are than others, and we introduce a simple tool for estimating important figures.
Key concepts from this session include:
A clarification/example from the 80,000 hours AI bot regarding diminishing marginal returns I found helpful:
"The key idea is that a charity's average impact per dollar isn't the same as what your next dollar achieves.
Concrete example: imagine a program distributing vitamin supplements in one region.
The charity's average looks great — because the early dollars did so much. But your donation is the last dollar in, funding the marginal (weakest remaining) activity. That's "diminishing marginal returns": each additional dollar tends to buy less than the one before, because organisations naturally do the cheapest, highest-impact things first.
So the smart question isn't "which charity has the best track record per dollar?" but "where will one more dollar do the most?" — which might be a smaller org that hasn't yet exhausted its best opportunities, rather than a famous one that has."
Hey there!
Thanks for responding, and for your honesty regarding time for engagement. If you end up writing out in greater length what you have to say, happy to see an extended version of your response. That said, it seems to me that what you did write already provides good grounds for me to engage, so here's a quick response from my side point-by-point:
1. The scenario is a story, and all narrative scenarios are. [...] The point is not to paint a full analytical picture; the point is to change minds and inspire action. So I don't think it's quite right to hold it to the standard of a rigorous analytical exercise: it's a different tool for a different job.
I think I largely agree to this, actually. That's why I tried to emphasise in my intro, and to a lesser extent throughout the post, that I see my response as complementary: narratives are a good tool to inspire action, but they require attendant analytical exercises to have positive value. Action in an ill-considered direction is worse, I would argue, than no action at all, and definitely worse than reflective action.
The scenario Europe 2031 (in contrast to other narrative projects that make more of an effort to highlight uncertainties and multiple possible futures, see e.g. AI 2040) leaves its readers with a fairly strong conclusion in the Epilogue, one that very much sends the (emotionally charged) message "we know what we need to do, and we should do it even if it is politically painful". The authors offer a more analytical, and somewhat more nuanced / uncertainty-aware, outline of their argument in the Summary, the FAQs that you also (rightly in my mind) cite, and their Compute Forecasting section. But my sense is that many readers will mainly focus on the scenario itself, not the analytical bits on the side; this post here is one attempt to shift that a little bit further in the direction of using the scenario as an entry-point to the analytical discussion, rather than as a shortcut to a seemingly clear conclusion.
You are right, I think, to ask about the actual empirical effects of Europe 2031's publication. The honest answer is (a) that I'm not in Brussels (or another EU hub), so I have a very poor sense of what is being discussed with how much of a truth-seeking intention to it; and (b) I think it's too early to tell. I do think, however, that other people have established quite well how narratives and stories can obfuscate public and policy debates[1]; and that feels enough to at least be worried about Europe 2031 having a similar effect, if we don't try explicitly to counter that obfuscating effect.
2. The scenario clearly describes itself as having a narrow focus on purpose. The scenario is exclusively about maintaining European agency, and says nothing about how to use that agency once it has been achieved or strengthened.
That's largely true, but I also think it's a good example of means and ends being hard to separate in practice. "Maintaining European agency" is a means to an end which the authors barely discuss, and I think it's fair for them not to discuss it at length (for the reasons they themselves list in the FAQ, and which you cite above). However, to the extent that their proposal for "maintaining European agency" hinges on instrument that have implications for diverse AI governance aims, I do think they have a responsibility to discuss that; or, at least, I think we should use the scenario as a starting point for discussing these implications. If the scenario's proposal for "maintaining European agency" mainly consists in "massive compute build-outs on EU territory" (and I have confirmed with one of the authors that my reading of that is broadly in line with what they themselves take the main message of the scenario to be), then that is not neutral with respects to "other [deliberately ignored] aspects of the AI transition": such a build-out might accelerate frontier AI development; might further amass power with US frontier AI companies (if, as the scenario suggests, such a build-out would happen under the auspices of these capital-rich US frontier companies); and might undermine EU regulatory standards, which could otherwise be used as a tool in AI governance efforts. It also diverts capital and attention away from other potential European responses to rapid AI developments.
I think my main sticking point here is: I agree that "maintaining European agency" is a worthwhile instrumental goal to strive for, because I too would like to the see the EU as a capable actor in future AI governance developments; but I think that we face many really difficult and politically/normatively meaningful questions when it comes to deciding which strategy to pursue in order to maintain European agency. I want our response to Europe 2031 to be that we discuss vigorously and honestly what different strategies might look like, and what their merits and costs are. I think the scenario itself may not spark these discussions (because neither the scenario nor the authors' supplementary commentary insinuate that there are open questions here at all). So I wrote this Forum post to start filling that gap.
3. On power concentration and international coordination: These are super important, but you can't do much about them without agency. Europe being "AI colonized" and losing its agency to a handful of foreign companies and states, is itself one of the forms of power concentration the scenario is trying to get Europe to defend against. Building European leverage is, in part, a hedge against exactly that concentration, as well as a way to gain the agency to combat other problems.
My response to this is largely the same as the one offered above: I think there should be controversy and open discussion around how we can prevent Europe from being "AI colonized", around what it means for Europe to build up effective leverage, and around what we are and are not willing to give up in our attempt to build up such (supposed/potential) leverage. My sense is that Europe 2031 "falls into the same trap"[2] as Anthropic itself did: assuming that a race is inevitable and that the best option is to come out on top (or near the top, in Europe's case), even if that means accepting all of the costs the race brings in the first place. I want for that assumption to be vigorously debated, not taken for granted.
Lastly, thanks for linking the post on the (potential) effectiveness of fictional accounts. I haven't read it yet, but it definitely falls within what I'm interested in and I'm glad to have the link (and also for others visiting this post to have access to the link)!
Here I would insert a reference from the study of propaganda, media studies, or a similar field if I had the time to look for it. I hope to come back to this later this week, but apologise in advance if I fail to. My only excuse is that those fields and their general takeaway - stories influence minds, and not always in an epistemically ideal way - is a sufficiently well-accepted piece of common knowledge that my claim survives without a specific reference (?).
In quotation marks, because it is only a trap given the specific worldview from which I am speaking; one that should, just like Europe 2031's worldview, be vigorously debated and contested!
https://www.socialeurope.eu/omnibus-to-nowhere-the-quiet-dismantling-of-european-governance
What do you think the important claims being made in this piece are, and what evidence do you think it is giving for them?
"where a massive European data centre build-out sacrifices regional standards "
Can you say a bit about what you have in mind here and why it's important?
Hi pmanen,
To be fair, I know a few of the authors of the scenario tangentially, and one of them more closely. Easy to engage in good faith when I feel confident that the authors actually do care about the topic, are not bought by Silicon Valley, and are not in any way as reckless as "the likes of Marc Andreessen". While I agree much more with your takes and policy position than their's, I do want to emphasise that I think they very much deserve engagement in good faith, and with an eye to exploring strategies in an uncertain world constructively rather than dogmatically.
I haven't looked in any detail at the modelling they did, so can't comment on your skepticism with regards to that. On the two more substantive points, there's not much need for me to comment, because I largely agree that the arguments the authors on these two fronts make are dubious (/underdeveloped). I would be curious to hear how proponents of massive data centre build-outs in Europe (or other "democratic middle powers") would respond? Can we get to the crux of what divides serious analysts on this topic, and is there any way to make progress on resolving that crux (or, at least, understanding which irresolvable value differences sit at the core of it)?
I appreciate the bullet points at the end that raise the political angle intertwined with the discussions I'm calling for. I didn't emphasise that angle a lot in my original post, because I hadn't thought about it a lot; reading your quick notes, I think it does merit thinking about, so that'd be worth adding to my list of "questions I’d love to see contested and discussed". Are you okay for me to take your notes as input to make an addition in the original post (would add a footnote linking to your comment as a source)?
Thanks for the recommended readings! I gave them a quick skim for now, and have added them to my own reading list as well as the still-very-incomplete-and-provisional living resource repository mentioned in the post: EU_AI_geopolitics_resources.
In memory of Fernando Avalos. His memory remains present in everything we do.
A note on AI use: AI was heavily used to edit the text of this post.
ALTER’s work continues to focus primarily on AI policy, and especially on standards, evaluations, and related governance questions. We have also continued a smaller amount of research and policy work in adjacent areas, including biosecurity, AIxBio, philosophy of AI, and public health.
ALTER is currently funded tentatively through the end of 2028, pending finalizing new grants to cover our base budget. This primarily includes support from cG and SFF Spec...
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Last updated: 2020-04-25
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I wasn't sure whether to post this as a post or a question. On one hand, I feel I've put enough effort / it's good enough that it warrants a post, which I feel would give it more visibility. On the other hand, if other people want to write answers on this question, I feel like asking a question to centralize the discussion on the topic...
This is a linkpost for Consciousness doesn’t do that by Matthias Michel, which was published in Philosophy and Phenomenological Research in January 2026. Below is a summary from Claude Opus 4.8 High. Michel said it "Looks good!". I also think the summary is accurate based on my read...
There's lots of talk about how more EA-aligned funding will attract grifters. The Robin Hanson in me wondered what expensive or hard-to-fake signals exist for (human) alignment.
The first ideas that came to mind:
I don't know whether folks should weight these highly in funding decisions. Probably they all collapse under sufficient pressure.