
Sign up to save your podcasts
Or


I'm writing this on behalf of the mod team. They've reviewed and commented on this post, but mistakes are mine.
We want and value criticism on the EA Forum. EA organisations often make their decisions transparent to the Forum audience in a way which makes good criticism possible. But transparency has its challenges, one of which is that not all criticism is good.
By ‘good’ criticism, I mean criticism which is valuable to spend time engaging with. Criticism which can improve your project, or improve the case you make for your project. I also mean criticism which is good for the world but not for the criticised person or organisation. For example, perhaps an approach to solving a problem, or a the work of a particular organisation, is getting too much funding or attention relevant to its merits. Then, the recipient of the criticism may protest — but [...]
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
At the request of @Vasco Grilo🔸 in a post that I can't get out of drafts, here's the full linkpost.
Original post is below:
So this post is an argument that multi-decade timelines are reasonable, and the key cruxes that Ege Erdil has with most AI safety people who believe in short timelines are due to the following set of beliefs:
This is a pretty important crux, because if this is true, a lot more serial research agendas [...]
---
Outline:
(04:06) Trend extrapolations don't point towards short timelines
(09:21) A software singularity is unlikely
(12:44) AI agents will need a lot of compute to automate all remote work
(18:21) Conclusion
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
---
Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
I wanted to share a small but important challenge I've encountered as a student engaging with Effective Altruism from a lower-income country (Nigeria), and invite thoughts or suggestions from the community.
Recently, I tried to make a one-time donation to one of the EA-aligned charities listed on the Giving What We Can platform. However, I discovered that I could not donate an amount less than $5.
While this might seem like a minor limit for many, for someone like me — a student without a steady income or job, $5 is a significant amount.
To provide some context:
According to Numbeo, the average monthly income of a Nigerian worker is around $130–$150, and students often rely on even less — sometimes just $20–$50 per month for all expenses. For many students here, having $5 "lying around" isn't common at all; it could represent a week's worth of meals [...]
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
---
Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
The idea that we can substitute carbon-based neurons with functionally equivalent artificial neurons (made of, say, silicon) is at the heart of many discussions about consciousness. For me, this used to be a load-bearing argument for caring about digital consciousness, and I think it still is for many people, including at Anthropic. However, it doesn’t withstand closer scrutiny, so I think it's time to let go of this dearly beloved intuition.
This post was inspired by the video “Consciousness Isn't Substrate-Neutral: From Dancing Qualia & Epiphenomena to Topology & Accelerators” by Andrés Gómez-Emilsson, but it's written in my personal capacity.
Cartoon neuronsAnesthesiologist Stuart Hameroff likes to speak of “cartoon neurons”—the overly simplified abstraction of neurons as switches that take in some inputs and fire (or not) depending on some activation function.
Cartoon neuronHe calls this abstraction “an insult to neurons”:
Why are they an insult? Well, if you [...]
---
Outline:
(00:51) Cartoon neurons
(03:21) Abstracting away complexity
(06:35) Simulating the brain
(08:19) Sufficiently detailed replicas/simulations
(10:36) Takeaways
The original text contained 10 footnotes which were omitted from this narration.
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
---
Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
This is the first post in a sequence about how I think about and break down my research process. Post 2 is coming soon.
Thanks to Oli Clive-Griffin, Paul Bogdan, Shivam Raval and especially to Jemima Jones for feedback, and to my co-author Gemini 2.5 Pro - putting 200K tokens of past blog posts and a long voice memo in the context window is OP.
IntroductionResearch, especially in a young and rapidly evolving field like mechanistic interpretability (mech interp), can often feel messy, confusing, and intimidating. Where do you even start? How do you know if you're making progress? When do you double down, and when do you pivot?
These are far from settled questions, but I’ve supervised 20+ papers by now, and have developed my own mental model of the research process that I find helpful. This isn't the definitive way to do research (and I’d love [...]
---
Outline:
(00:36) Introduction
(03:28) The key stages
(03:35) Ideation (Stage 0): Choose a problem
(04:14) Exploration (Stage 1): Gain surface area
(06:55) Understanding (Stage 2): Test Hypotheses
(09:17) Distillation (Stage 3): Compress, Refine, Communicate
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
From Rachel Glennerster and Siddhartha Haria of the Center for Global Development. Glennerster is former chief economist of UK's Department for International Development, former head of JPAL, and a 10% pledger with Giving What We Can.
"Projects should do one thing on a large scale. The cost per person of implementing a project falls sharply the more people it covers because of the high fixed costs of design, setup, and oversight."
"Given the reality of smaller aid budgets, it is imperative we use them to best effect. We need to focus on a select number of simple, cost-effective, large-scale interventions. This will require reforming the review process and making better use of fewer staff, but it will make sure more of our aid gets to those who need it and make it easier for politicians and the public to understand what they are getting [...]
---
First published:
Source:
Linkpost URL:
https://www.cgdev.org/blog/radical-simplification-practical-way-get-more-out-limited-foreign-assistance-budgets
---
Narrated by TYPE III AUDIO.
Another year, another World Malaria Day.
WHO reports that an estimated 263 million cases and 597 000 malaria deaths occurred worldwide in 2023, with 95% of the deaths occuring in Africa.
What's still the case:Malaria is still one of the top five causes of death for children under 5.
The Our World In Data page on Malaria is still a fantastic resource to learn about Malaria.
What's different this year:NB- this post is far from comprehensive. I'd appreciate people adding more information about the development of insecticide resistance in mosquitoes, or the speed of the malaria vaccine roll-outs in the comments.
Malaria vaccines.We are now over a year into the launch of routine malaria vaccinations in Africa. GAVI has reported that 12 million doses of vaccines have been delivered to 17 countries. There are also very positive signs from the pilot, which ran from 2019-23 [...]
---
Outline:
(00:27) What's still the case:
(00:42) What's different this year:
(00:58) Malaria vaccines.
(01:48) Cuts to foreign aid
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
This is a crosspost for The Case for Insect Consciousness by Bob Fischer, which was originally published on Asterisk in January 2025.
[Subtitle.] The evidence that insects feel pain is mounting, however we approach the issue.
For years, I was on the fence about the possibility of insects feeling pain — sometimes, I defended the hypothesis;[1] more often, I argued against it.[2]
Then, in 2021, I started working on the puzzle of how to compare pain intensity across species. If a human and a pig are suffering as much as each one can, are they suffering the same amount? Or is the human's pain worse? When my colleagues and I looked at several species, investigating both the probability of pain and its relative intensity,[3] we found something unexpected: on both scores, insects aren’t that different from many other animals.
Around the same time, I started working with an [...]
---
Outline:
(02:20) Uncomfortable studies
(04:12) Mere nociception?
(09:14) Don't move the goalposts
(10:33) Studying sentience
(18:38) Abiding doubt, and some replies
(22:42) The path to consideration
The original text contained 9 footnotes which were omitted from this narration.
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
---
Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
A note on status: The following post is Wild Animal Initiative's first foray into thinking about the intersection of transformative AI and wild animal welfare. I’m not an AI safety expert, but I’ve been largely familiar with the main ideas since 2012. I’ve done my best to read around the issues and asked several more AI-informed folks to give feedback on this draft; however, our ideas at Wild Animal Initiative remain very early days so please take this all with a grain of salt.
We welcome additional feedback on how we should be preparing for potential societal changes due to AI. Please feel free to contact [email protected] to share suggestions or thoughts; I’ll also be engaging with comments on this post.
Executive SummaryMany in the AI safety community believe transformative AI (TAI; defined here as AI tools with cognitive capabilities surpassing highly trained humans) could arrive within [...]
---
Outline:
(00:16) Executive Summary
(02:15) Transformative AI and wild animals: An exploration.
(03:22) When will TAI get here, and what will it bring?
(03:46) When will TAI get here?
(05:36) What will TAI bring?
(07:18) How will a technological & manufacturing explosion affect wild animal welfare science?
(07:25) TAI and the strategic importance of academic fields.
(12:41) Shortened impact timelines for wild animal welfare science
(18:41) Asymmetric acceleration and research priorities
(27:27) How does TAI affect WAW directly?
(29:21) Space exploration
(31:55) Misalignment
(34:49) Abundance
(38:07) Unknown unknowns
(39:00) Summary
(39:37) Summary of takeaways for wild animal welfare science
(40:43) Summary of takeaways for the wild animal welfare community in general
(42:00) Closing thoughts
(44:25) Acknowledgments
(45:03) Appendix
(45:06) TAI and wild animal welfare science: potential effects.
(45:38) Grand challenges
(45:44) Issues of lower relevance
(48:03) Issues of uncertain sign
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
[Cross-posted from my Substack here]
If you spend time with people trying to change the world, you’ll come to an interesting conundrum: Various advocacy groups reference previous successful social movements as to why their chosen strategy is the most important one. Yet, these groups often follow wildly different strategies from each other to achieve social change. So, which one of them is right?
The answer is all of them and none of them.
This is because many people use research and historical movements to justify their pre-existing beliefs about how social change happens. Simply, you can find a case study to fit most plausible theories of how social change happens. For example, the groups might say:
The original text contained 1 footnote which was omitted from this narration.
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
---
Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
From the publisher's feed