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PODCAST

EA Forum Podcast (All audio)

Audio narrations from the Effective Altruism Forum, including curated posts, posts with 30 karma, and other great writing. If you"d like fewer episodes, subscribe to the "EA Forum (Curated & Popular)" podcast instead.

technology philosophy

All Episodes

5:02

“The Crisis EA Cannot Afford to Ignore” by Allegra_P

EA Forum Podcast (All audio) ·

2025/11/11

More than two years ago, Sudan descended into war. What began as a clash between the army and paramilitary quickly became one of the world's worst humanitarian crises. Millions have been displaced. Families are going hungry. Communities are cut off from medicine. Violence and disease spread in silence. And the world keeps looking away, even as the human cost grows daily. So why are you seeing more about Sudan in the news now? On October 26, the RSF captured El Fasher after an 18-month siege. What

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5:57

“Changes to the 80k podcast” by Michelle_Hutchinson

EA Forum Podcast (All audio) ·

2025/11/11

This is a brief update about what's been happening on the 80k podcast team over the last 6 months, because we’ve undergone quite a few changes. We’re also hiring (more details below). As background: The podcast has been running for 8(!) years, run and predominantly hosted by Rob Wiblin. Over that time the podcast has grown to ~127,000 subscribers across Spotify, YouTube and Apple Podcasts, the production value and knowledge of how to execute a great podcast have very much improved, and Luisa

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21:34

[Linkpost] “Introducing LEAP: The Longitudinal Expert...

EA Forum Podcast (All audio) ·

2025/11/10

This is a link post. Every month, the Forecasting Research Institute asks top computer scientists, economists, industry leaders, policy experts and superforecasters for their AI predictions. Here's what we learned from the first three months of forecasts: AI is already reshaping labor markets, culture, science, and the economy—yet experts debate its value, risks, and how fast it will integrate into everyday life. Leaders of AI companies forecast near futures in which AI cures all diseases, replaces

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45:39

“Visionary Pragmatism: A Third Way for Animal...

EA Forum Podcast (All audio) ·

2025/11/10

This work is my own, written in my spare time, and doesn’t reflect the views of my employer. Less than ~3% of the text is AI-generated. Thank you to Laila Kassam, Haven King-Nobles, Lincoln Quirk, Tom Billington and Harley McDonald-Eckersall for their feedback, which doesn’t imply their endorsement of the ideas presented.Summary Most animal advocates want sweeping change — to end factory farming at the very least, and often to go even further. But across the movement, we rarely talk in depth about

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8:14

“How and Why to Make EA Cool” by JustinPortela

EA Forum Podcast (All audio) ·

2025/11/10

EA has always had a coolness crisis. The name itself is clunky and overly precise. The logo is fine-but-not-great, and the visual branding has never excited anybody. EA orgs have spent over a decade struggling to tell exciting stories or get serious numbers of social media followers. In short: It's never been sexy; it's never been cool. Maybe you don’t think being cool matters. That's a fine opinion if you’re ok with EA being a group of 10,000 people, ~70% male and ~75% white, circularly spending

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4:19

“Problems I’ve Tried to Legibilize” by Wei Dai

EA Forum Podcast (All audio) ·

2025/11/10

Looking back, it appears that much of my intellectual output could be described as legibilizing work, or trying to make certain problems in AI risk more legible to myself and others. I've organized the relevant posts and comments into the following list, which can also serve as a partial guide to problems that may need to be further legibilized, especially beyond LW/rationalists, to AI researchers, funders, company leaders, government policymakers, their advisors (including future AI advisors), and

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8:40

“What giving people money doesn’t fix” by GiveDirectly

EA Forum Podcast (All audio) ·

2025/11/07

by Caitlin Tulloch, Senior Director of Research, Learning, and Product at GiveDirectly. Caitlin is an expert in evidence-based policy and cost-effectiveness, and formerly served as Deputy Director in USAID's Office of the Chief Economist. Summary ❌ Cash isn’t a silver bullet and it can’t replace missing or broken systems. It doesn’t pave roads, improve schools, or stock pharmacies. 💸 Yet when it comes to reducing poverty, there are no interventions with more consistent evidence for their

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10:49

“Strangers calling: the value of warm responses to...

EA Forum Podcast (All audio) ·

2025/11/07

Tl;dr: I think responding to cold outreach (Linkedin DMs, emails) is a high-leverage way to help someone pursue an impactful career. Spending 15 minutes on Zoom or 5 minutes to share resources in writing can: Introduce someone to job boards, career advising and other professional development resources (EA Anywhere Slack, EA Virtual Programs, EA Opportunities Board, Effective Thesis, High Impact Professionals, etc.) that they hadn’t previously been aware of. More people hear about EA from personal

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21:03

“A personal take on why (and why not) to work on Open...

EA Forum Podcast (All audio) ·

2025/11/07

You may have noticed that Open Philanthropy is hiring for several roles in our GCR division: senior generalists across our global catastrophic risks team, and grantmakers for our technical AI safety team. (We're also hiring for recruiting and operations roles! I know very little about either field, so I'm not going to talk about them here.) I work as a grantmaker on OP's AI governance team, and inspired by Lizka's recent excellent post giving her personal take on working at Forethought, I wanted to

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20:41

“EA Summit 2025: Paris: Report” by GV 🔸

EA Forum Podcast (All audio) ·

2025/11/06

On September 13th, 2025, we (EA France) hosted the EA Summit: Paris, in a very central location in the French capital. This event was part of the international series of EA Summits funded by the Centre for Effective Altruism. This report outlines what went well, what we could improve, and the lessons we learned, with the hope that it can serve as a resource for others planning similar events. Key facts and figures 217 participants (including volunteers) checked in, along with 20 speakers and 3

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13:03

“12 Theses on EA” by Mjreard

EA Forum Podcast (All audio) ·

2025/11/06

This is a crosspost from my Substack, where people have been liking and commenting a bunch. I'm too busy during my self-imposed version of Inkhaven to engage much – yes, pity me, I have to blog – but I don't want to leave Forum folks out of the loop! I’ve been following Effective Altruism discourse since 2014 and involved with the Effective Altruist community since 2015. My credentials are having run Harvard Law School and Harvard University (pan-grad schools) EA, donating $45,000 to EA causes

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10:30

“The Protein Problem” by LewisBollard

EA Forum Podcast (All audio) ·

2025/11/05

Note: This post was crossposted from the Open Philanthropy Farm Animal Welfare Research Newsletter by the Forum team, with the author's permission. The author may not see or respond to comments on this post. People can’t get enough protein. Fully 61% of Americans say they ate more protein last year — and 85% intended to eat more this year. Last week, dairy giant Danone said it can’t keep up with US demand for its high-protein yogurt. Other food makers are rushing to pack protein into everything

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3:41

[Linkpost] “Are we wrong to stop factory farms?” by...

EA Forum Podcast (All audio) ·

2025/11/05

This is a link post. I'm sharing an article by Rose Patterson from Animal Rising (AR), which responds to an EA criticism of AR's campaigns to block new factory farms in the UK. When we started our Communities Against Factory Farming campaign to stop every new factory farm from being built, we thought it would be a crowd-pleaser! Who in the animal movement could argue that this could actually be a bad thing? However, we’ve heard it repeatedly over the past year, particularly coming from some in the

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10:18

“AnimalHarmBench 2.0: Evaluating LLMs on reasoning...

EA Forum Podcast (All audio) ·

2025/11/05

We are pleased to introduce AnimalHarmBench (AHB) 2.0, a new standardized LLM benchmark designed to measure multi-dimensional moral reasoning towards animals, now available to use on Inspect AI. As LLM's influence over policies and behaviors of humanity grows, its biases and blind spots will grow in importance too. With the original and now-updated AnimalHarmBench, Sentient Futures aims to provide an evaluation suite to judge LLM reasoning in an area in which blind spots are especially unlikely to

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3:26

“Legible vs. Illegible AI Safety Problems” by Wei Dai

EA Forum Podcast (All audio) ·

2025/11/05

Some AI safety problems are legible (obvious or understandable) to company leaders and government policymakers, implying they are unlikely to deploy or allow deployment of an AI while those problems remain open (i.e., appear unsolved according to the information they have access to). But some problems are illegible (obscure or hard to understand, or in a common cognitive blind spot), meaning there is a high risk that leaders and policymakers will decide to deploy or allow deployment even if they

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19:21

“Scale-up: the neglected bottleneck facing...

EA Forum Podcast (All audio) ·

2025/11/04

Hi everyone! I'm Alex, Managing Director of the Good Food Institute Europe. Thanks so much for taking the time to read my post on why scale-up is so important for the future of alternative proteins. This is a topic we're really passionate about at GFI Europe, and one that's becoming increasingly important as the sector matures. I’ll be around in the comments and happy to answer any questions. We really value feedback from this community, so I look forward to the discussion! Conventional meat

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5:21

“Announcing the AIxBiosecurity Research Fellowship”...

EA Forum Podcast (All audio) ·

2025/11/04

ERA, in partnership with the Cambridge Biosecurity Hub, is launching a new 8-week, full-time AIxBiosecurity research fellowship dedicated to tackling biosecurity risks amplified by recent advances in frontier AI capabilities. This fully funded programme equips researchers to investigate ways to reduce extreme risks from engineered and natural biological threats amid rapidly advancing biotechnology and emerging AI capabilities. The deadline to apply is November 5th, 23:59 UTC —-> Apply here. If

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17:25

“Recruitment is extremely important and impactful....

EA Forum Podcast (All audio) ·

2025/11/03

Cross-post from Good Structures. Over the last few years, I helped run several dozen hiring rounds for around 15 high-impact organizations. I've also spent the last few months talking with organizations about their recruitment. I've noticed three recurring themes: Candidates generally have a terrible time Work tests are often unpleasant (and the best candidates have to complete many of them), there are hundreds or thousands of candidates for each role, and generally, people can't get the jobs

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4:50

“Will Welfareans Get to Experience the Future?” by...

EA Forum Podcast (All audio) ·

2025/11/02

Cross-posted from my website.Epistemic status: This entire essay rests on two controversial premises (linear aggregation and antispeciesism) that I believe are quite robust, but I will not be able to convince anyone that they're true, so I'm not even going to try. If welfare is important, and if the value of welfare scales something-like-linearly, and if there is nothing morally special about the human species[1], then these two things are probably also true: The best possible universe isn't

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4:47

“Humanizing Expected Value” by kuhanj

EA Forum Podcast (All audio) ·

2025/11/01

I often use the following thought experiment as an intuition pump to make the ethical case for taking expected value, risk/uncertainty-neutrality,[1] and math in general seriously in the context of doing good. There are, of course, issues with pure expected value maximization (e.g. Pascal's Mugging, St. Petersburg paradox and infinities, etc), that I won’t go into in this post. I think these considerations are often given too much weight and applied improperly (which I also won’t discuss in this

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1,816 results

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