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I used an LLM to help draft this post and it likely contains >10% AI-generated text, but I’ve edited/rewritten it extensively and endorse it.
TL;DR
It's unclear how much the intelligence explosion will directly affect agriculture, because it's one of the least cognitive-labor-intensive industries. But the industrial explosion that may follow could make even animal agriculture susceptible to disruptive innovation (possibly the only time in history that's true). This suggests that during AI-takeoff current incumbents could be replaced by AI-native startups. Given this, advocates should weigh influencing current companies less, take AI-native ag startups (and disrupting the industry themselves) seriously, and treat "AI-pilled" alternative protein as a distinct strategy.
Disruptive Innovation
We're possibly at the early stages of an intelligence explosion, which many believe will radically change the economy. How exactly the transition will work is less clear.
There are two broad possibilities: one is that current companies (e.g. Tyson in the context of animal agriculture) will navigate the AI-transition, adopt new technologies, become AI-native in the relevant ways, and continue to dominate their respective industries in the future. The other is that a separate AI-native startup will directly compete against incumbents via disruption innovation.
Disruptive innovation, as [...]
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Outline:
(00:21) TL;DR
(01:01) Disruptive Innovation
(05:12) AI-pilled agriculture
(09:15) Practical Ramifications
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Suffering-focused ethics (SFE) is a family of moral views that gives special priority to reducing suffering. As you might know, we at the Center for Reducing Suffering find SFE deeply compelling—it is, after all, the backbone of our work. Part of our mission is to research and build a field around SFE. Unfortunately, SFE remains highly neglected in both academia and broader moral discourse. We are hoping to fill this gap.
Discussions of ethics often focus on a range of concerns and moral traditions. The questions raised are both interesting and deeply important. Yet comparatively little attention is devoted to examining the moral significance of suffering itself and asking whether it deserves some kind of special priority.
The lack of attention given to SFE and its core claims means that it remains underexamined, limiting our understanding of it. It also allows misconceptions to fester, distorting its meaning. For instance, people may equate SFE with negative utilitarianism, assume it is necessarily pessimistic or nihilistic, or believe it must have absurd implications.
We believe that SFE is too important to be neglected in this way. We think these ideas deserve serious examination, open discussion, and careful reflection. Our new Intro to [...]
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Statement: I'm far from an EA or AI expert, these are all opinions from an 19 years old EA laypeople (which may be biased or owefully wrong). Welcome to give me any critique in the comments(rather than just downvoting me).
I think compared to the abstract philosophical problems(which of course are useful), there are far not enough discussions on the EA Forum of some relaistic topics, for example:
1.Compare earn to give vs direct work
This is one of the most important topic(war) in EA, but very few try to calculate it. And a lot of people can't explain the reason well why they hold the opinion"Even for an avergae people, doing direct work is better than earn to give 50 thousand dollars-100 thousand dollars a year". Some people thinks that there are some PR 90+ talented people that are unfunded. In this case, unless you're better than these people, you should do earn to give 50 thousand dollars-100 thousand dollars, I'm not saying this claim is right, but if this holds true, this would dramtically change people strategy on career planning. Yet, very few posts compare EtG vs direct work.
2.The limitations of nationality and the importance of [...]
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I'm a freelance web designer and developer who has been concerned about AI and prioritising a transition into AI safety since late 2025. This post is a summary of my experience so far, as a possibly useful addition to the conversation around the need for generalists in AI safety. My hope is that this post can highlight some of the pain points experienced as a 'generalist' trying to work in this field.
A brief summary of why I'm in this transition at all: In late 2025, I was concerned about how AI was changing my field (web design and development). I guess that the algorithm picked up on this, and recommended me AI in Context's video about AI 2027. I was immediately gripped by the existential risks mentioned. I did some more reading around AI safety, found myself in the EA funnel, and signed up for the Intro to EA course. By the end of it, I was sure that I wanted to focus on AI safety, due to the possibility of lock-in scenarios and extreme power concentration, among other concerns.
My first action was to start volunteering with AI safety orgs - I reached out to AISafety.com and [...]
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By Abhi Kumar, Associate Program Officer in Farm Animal Welfare
Over 100 billion animals are farmed and slaughtered for food every year. At Coefficient Giving, we think one of the highest-leverage, long-term ways to reduce that number is to fund the development of meat alternatives that are good enough for people to adopt. Since 2016, we've allocated several million dollars toward the development of better and cheaper alternatives to animal products. We now see an opportunity to go deeper on a set of specific, neglected scientific problems related to taste. This Request for Proposals (RFP) is our attempt to accelerate progress, with up to $10 million available.
Why taste, and why now
Alternative proteins have the potential to reduce animal suffering at enormous scale — but only if consumers actually opt to eat them. Right now, they're not. Plant-based meat household penetration peaked at 20% in 2021 and has since fallen to 13%. One of the primary reasons is taste: 51% of first-time triers say they wouldn't buy plant-based meat again because the taste didn't resemble animal meat, and among lapsed consumers, 36% say better taste and texture would bring them back — the single most-cited factor. At [...]
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Outline:
(00:58) Why taste, and why now
(06:11) Who should apply
(07:13) How to apply
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Hi everyone!
Over the last six months or so, those of you who listen to the 80,000 Hours Podcast might occasionally have heard an unfamiliar voice asking questions to our guests. The person behind that unfamiliar voice is me, Zershaaneh!
I'm not saying I'm also Banksy, but I'm not not saying that. There are parallels.As a new host of the show, I’m eager to get thoughts about guests to interview, new formats to experiment with, and ways to improve. Feel free to message me on this forum! (But please be nice.)
I’ve only done a couple of episodes so far, but there's plenty more to come.
A bit about me:
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At Clearer Thinking, we're running a collaboration survey about the psychological challenges of various kinds related to working on high-impact problems (e.g., existential risk, AI safety, climate change, animal welfare, global health, bio/nuclear safety, and other topics), and what people find helpful in dealing with those challenges.
We are interested in hearing from you whether you currently work on impact-focused problems like these, or no longer do but have done so in the past.
We'll share what we learn with the community in the hopes that it will improve understanding and support for people doing this kind of work.
Your responses are fully anonymous. You can do the survey in about 5 minutes (if you skip optional sections) or in about 10-15 minutes (if you respond to every question).
Here's the link to participate:
https://www.guidedtrack.com/programs/d4hx9m7/run
Thanks very much!
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We're looking at livelihoods research again (contribute ideas or reach out to support the team with your expertise), sharing our new methods site, and releasing updated SADs guidance.
Looking at livelihoods and growth again
We last conducted research into livelihoods and growth in 2024, leading to the launch of great projects including Lead Research for Action, Better Futures Guide, and other upcoming projects.
We will be working on finding more ideas in this space, trying to focus on more exploratory plays with leverage to influence growth agendas in LMICs. We are especially excited to look further into energy transitions, artificial intelligence for development, remittances, migration, and infrastructure.
You can read our house view on livelihoods and growth here.
A new site
In an effort to make our work more transparent, we have uploaded our methodological guidance and live house views to a giftbook site. In there, you will [...]
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Outline:
(00:29) Looking at livelihoods and growth again
(01:25) A new site
(01:56) Suffering-adjusted Days revamp
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Crosspost.
The best charities save lives for a few thousand dollars. If you earn $100,000 per year and give away 10%, you can save about 100 people over the course of your life. I think we generally aren’t good at visualizing what's really at stake. So here is me attempting vaguely to grok 100 lives.
Ted Bundy killed around 30 people. So by saving 100 lives, you’ll save more lives than Ted Bundy killed. You’ll save more lives than if you prevented all of his killings.
100 lives is twenty-five families of four. It's four families of ten.
It's about 1% of annual U.S. gun homicides.
It's a hundred extra children who get to live to adulthood, rather than being snuffed out in childhood by a horrible disease, in agony and terror. That's several kindergarten classes. An amount of child death prevented equivalent to stopping many school shootings. Pick some kindergartener you know—imagine that you could prevent them and everyone in the two neighboring classes from dying. That is how much death you personally can prevent.
Imagine your mother, father, and brother dying. Multiply that by 33. Add one. That's 100 deaths.
100 lives is about the number [...]
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I'm leading a non-profit team building a pathogen-agnostic early-warning system. As AI systems become increasingly capable substitutes for expert human biologist expertise, the risk that someone could engineer a pathogen to spread widely before detection is going up. We've made great progress and we're now running the world's largest metagenomic biosurveillance network, but there's still a huge amount that needs doing: we're hiring!
We're processing >50B read pairs of wastewater and nasal swab data each week (more than anyone else!) and will be more than doubling this in the next year. At the same time, we need to bring our end to end time down from ~12hr to ~2hr (massively parallel problem, should be possible to get <1hr).
This means we're looking for people who know how to build and scale processing systems and infra, and don't need a bio background:
For both of these we're looking for people to work with us in-person in Kendall Sq (Cambridge [...]
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From the publisher's feed