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I feel that older EA forum posts are not read nearly as much as they should. Hence, I collected the ones that seemed to be the most useful and still relevant today. I recommend going through this list in the same way you would go through the frontpage of this forum: reading the titles and clicking on the ones that seem interesting and relevant to you. Note that you can hover over links to see more details about each post.

Also note that many of these posts have lower karma scores than most posts posted nowadays. This is in large part because until September 2018, all votes were worth only one karma point, and before September 2014 there was no karma system at all. Furthermore, the forum readership used to be lower. Hence, I don’t advise to pay too much attention to karma when choosing which of these posts to read. Most of these posts had a significantly higher karma than other posts posted around the same time.

To create this list, I skimmed through the titles (and sometimes the contents) of all posts posted between 2012 and 2017. I relied on my intuition to decide which posts to include. Undoubtedly, I missed some good ones. Please feel free to point them out in the comments.

Also note that in some cases the information in these posts might be outdated, or no longer reflect the opinions of their authors.

Communication

General reasoning

Cause-prioritization

Long-term Future

Advice on how to think about altruism

Movement strategy

Donating money

Miscellaneous

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I agree the old posts get neglected, thanks for putting this together.

I'd also nominate more of Greg's old posts: https://forum.effectivealtruism.org/users/gregory_lewis

Such as this one: https://forum.effectivealtruism.org/posts/tPtY46ucbnMfNJjFE/expected-value-estimates-you-can-take-somewhat-literally

We should have some sort of e-book with some of the "best picks" by year

Thanks, this is a great contribution!

I'd like to nominate Paul Christiano's On Progress and Prosperity. It best fits under Cause-prioritization or Long-term future.

(As an aside, I think it would be valuable to have a similar list highlighting the best posts from Paul Christiano's Rational Altruist blog. They are all from 2014 or older.)

Just stumbled across a great 2015 post by Rob Wiblin entitled What is a 'broad intervention' and what is a 'narrow intervention'? Are we confusing ourselves?

It's a better, more concise version of a post I was planning to write myself, so accidentally finding it saved me some time!

Thanks for this collection!

Another 2017 post I quite liked and have often drawn on in my thinking or in conversation is Act utilitarianism: criterion of rightness vs. decision procedure.

Just remembered another 2017 post I liked and reference often (with the memory triggered by referencing it again): Considering Considerateness: Why communities of do-gooders should be exceptionally considerate.

Really enjoyed this collection.

One more long-term-future post from that era that I'd recommend is Beckstead's A proposed adjustment to the astronomical waste argument. I think that's been influential in a lot of people's thinking (I see it cited often), including mine.

Also, regarding Beckstead's Improving disaster shelters to increase the chances of recovery from a global catastrophe (which you link to), he also wrote a good paper on the same topic.

Thanks! I'm adding all the articles from Movement Strategy into my reading list

Curated and popular this week
Paul Present
 ·  · 28m read
 · 
Note: I am not a malaria expert. This is my best-faith attempt at answering a question that was bothering me, but this field is a large and complex field, and I’ve almost certainly misunderstood something somewhere along the way. Summary While the world made incredible progress in reducing malaria cases from 2000 to 2015, the past 10 years have seen malaria cases stop declining and start rising. I investigated potential reasons behind this increase through reading the existing literature and looking at publicly available data, and I identified three key factors explaining the rise: 1. Population Growth: Africa's population has increased by approximately 75% since 2000. This alone explains most of the increase in absolute case numbers, while cases per capita have remained relatively flat since 2015. 2. Stagnant Funding: After rapid growth starting in 2000, funding for malaria prevention plateaued around 2010. 3. Insecticide Resistance: Mosquitoes have become increasingly resistant to the insecticides used in bednets over the past 20 years. This has made older models of bednets less effective, although they still have some effect. Newer models of bednets developed in response to insecticide resistance are more effective but still not widely deployed.  I very crudely estimate that without any of these factors, there would be 55% fewer malaria cases in the world than what we see today. I think all three of these factors are roughly equally important in explaining the difference.  Alternative explanations like removal of PFAS, climate change, or invasive mosquito species don't appear to be major contributors.  Overall this investigation made me more convinced that bednets are an effective global health intervention.  Introduction In 2015, malaria rates were down, and EAs were celebrating. Giving What We Can posted this incredible gif showing the decrease in malaria cases across Africa since 2000: Giving What We Can said that > The reduction in malaria has be
Ronen Bar
 ·  · 10m read
 · 
"Part one of our challenge is to solve the technical alignment problem, and that’s what everybody focuses on, but part two is: to whose values do you align the system once you’re capable of doing that, and that may turn out to be an even harder problem", Sam Altman, OpenAI CEO (Link).  In this post, I argue that: 1. "To whose values do you align the system" is a critically neglected space I termed “Moral Alignment.” Only a few organizations work for non-humans in this field, with a total budget of 4-5 million USD (not accounting for academic work). The scale of this space couldn’t be any bigger - the intersection between the most revolutionary technology ever and all sentient beings. While tractability remains uncertain, there is some promising positive evidence (See “The Tractability Open Question” section). 2. Given the first point, our movement must attract more resources, talent, and funding to address it. The goal is to value align AI with caring about all sentient beings: humans, animals, and potential future digital minds. In other words, I argue we should invest much more in promoting a sentient-centric AI. The problem What is Moral Alignment? AI alignment focuses on ensuring AI systems act according to human intentions, emphasizing controllability and corrigibility (adaptability to changing human preferences). However, traditional alignment often ignores the ethical implications for all sentient beings. Moral Alignment, as part of the broader AI alignment and AI safety spaces, is a field focused on the values we aim to instill in AI. I argue that our goal should be to ensure AI is a positive force for all sentient beings. Currently, as far as I know, no overarching organization, terms, or community unifies Moral Alignment (MA) as a field with a clear umbrella identity. While specific groups focus individually on animals, humans, or digital minds, such as AI for Animals, which does excellent community-building work around AI and animal welfare while
Max Taylor
 ·  · 9m read
 · 
Many thanks to Constance Li, Rachel Mason, Ronen Bar, Sam Tucker-Davis, and Yip Fai Tse for providing valuable feedback. This post does not necessarily reflect the views of my employer. Artificial General Intelligence (basically, ‘AI that is as good as, or better than, humans at most intellectual tasks’) seems increasingly likely to be developed in the next 5-10 years. As others have written, this has major implications for EA priorities, including animal advocacy, but it’s hard to know how this should shape our strategy. This post sets out a few starting points and I’m really interested in hearing others’ ideas, even if they’re very uncertain and half-baked. Is AGI coming in the next 5-10 years? This is very well covered elsewhere but basically it looks increasingly likely, e.g.: * The Metaculus and Manifold forecasting platforms predict we’ll see AGI in 2030 and 2031, respectively. * The heads of Anthropic and OpenAI think we’ll see it by 2027 and 2035, respectively. * A 2024 survey of AI researchers put a 50% chance of AGI by 2047, but this is 13 years earlier than predicted in the 2023 version of the survey. * These predictions seem feasible given the explosive rate of change we’ve been seeing in computing power available to models, algorithmic efficiencies, and actual model performance (e.g., look at how far Large Language Models and AI image generators have come just in the last three years). * Based on this, organisations (both new ones, like Forethought, and existing ones, like 80,000 Hours) are taking the prospect of near-term AGI increasingly seriously. What could AGI mean for animals? AGI’s implications for animals depend heavily on who controls the AGI models. For example: * AGI might be controlled by a handful of AI companies and/or governments, either in alliance or in competition. * For example, maybe two government-owned companies separately develop AGI then restrict others from developing it. * These actors’ use of AGI might be dr