"The constraint right now on factory farming is how far can you push the biology of these animals? But AI could remove that constraint. It could say, 'Actually, we can push them further in these ways and these ways, and they still stay alive. And we’ve modelled out every possibility and we’ve found that it works.' I think another possibility, which I don’t understand as well, is that AI could lock in current moral values. And I think in particular there’s a risk that if AI is learning from what we do as humans today, the lesson it’s going to learn is that it’s OK to tolerate mass cruelty, so long as it occurs behind closed doors. I think there’s a risk that if it learns that, then it perpetuates that value, and perhaps slows human moral progress on this issue." —Lewis Bollard

In today’s episode, host Luisa Rodriguez speaks to Lewis Bollard — director of the Farm Animal Welfare programme at Open Philanthropy — about the promising progress and future interventions to end the worst factory farming practices still around today.

Links to learn more, highlights, and full transcript.

They cover:

• The staggering scale of animal suffering in factory farms, and how it will only get worse without intervention.
• Work to improve farmed animal welfare that Open Philanthropy is excited about funding.
• The amazing recent progress made in farm animal welfare — including regulatory attention in the EU and a big win at the US Supreme Court — and the work that still needs to be done.
• The occasional tension between ending factory farming and curbing climate change
• How AI could transform factory farming for better or worse — and Lewis’s fears that the technology will just help us maximise cruelty in the name of profit.
• How Lewis has updated his opinions or grantmaking as a result of new research on the “moral weights” of different species.
• Lewis’s personal journey working on farm animal welfare, and how he copes with the emotional toll of confronting the scale of animal suffering.
• How listeners can get involved in the growing movement to end factory farming — from career and volunteer opportunities to impactful donations.
• And much more.

Chapters:

• Common objections to ending factory farming (00:13:21)
• Potential solutions (00:30:55)
• Cage-free reforms (00:34:25)
• Broiler chicken welfare (00:46:48)
• Do companies follow through on these commitments? (01:00:21)
• Fish welfare (01:05:02)
• Alternatives to animal proteins (01:16:36)
• Farm animal welfare in Asia (01:26:00)
• Farm animal welfare in Europe (01:30:45)
• Animal welfare science (01:42:09)
• Approaches Lewis is less excited about (01:52:10)
• Will we end factory farming in our lifetimes? (01:56:36)
• Effect of AI (01:57:59)
• Recent big wins for farm animals (02:07:38)
• How animal advocacy has changed since Lewis first got involved (02:15:57)
• Response to the Moral Weight Project (02:19:52)
• How to help (02:28:14)

Producer and editor: Keiran Harris
Audio engineering lead: Ben Cordell
Technical editing: Simon Monsour, Milo McGuire, and Dominic Armstrong
Additional content editing: Katy Moore and Luisa Rodriguez
Transcriptions: Katy Moore

Many of you will have heard of Zvi Mowshowitz as a superhuman information-absorbing-and-processing machine — which he definitely is. As the author of the Substack Don’t Worry About the Vase, Zvi has spent as much time as literally anyone in the world over the last two years tracking in detail how the explosion of AI has been playing out — and he has strong opinions about almost every aspect of it.

Links to learn more, summary, and full transcript.

In today’s episode, host Rob Wiblin asks Zvi for his takes on:

• US-China negotiations
• Whether AI progress has stalled
• The biggest wins and losses for alignment in 2023
• EU and White House AI regulations
• Which major AI lab has the best safety strategy
• The pros and cons of the Pause AI movement
• Recent breakthroughs in capabilities
• In what situations it’s morally acceptable to work at AI labs

Whether you agree or disagree with his views, Zvi is super informed and brimming with concrete details.

Zvi and Rob also talk about:

• The risk of AI labs fooling themselves into believing their alignment plans are working when they may not be.
• The “sleeper agent” issue uncovered in a recent Anthropic paper, and how it shows us how hard alignment actually is.
• Why Zvi disagrees with 80,000 Hours’ advice about gaining career capital to have a positive impact.
• Zvi’s project to identify the most strikingly horrible and neglected policy failures in the US, and how Zvi founded a new think tank (Balsa Research) to identify innovative solutions to overthrow the horrible status quo in areas like domestic shipping, environmental reviews, and housing supply.
• Why Zvi thinks that improving people’s prosperity and housing can make them care more about existential risks like AI.
• An idea from the online rationality community that Zvi thinks is really underrated and more people should have heard of: simulacra levels.
• And plenty more.

Chapters:

• Zvi’s AI-related worldview (00:03:41)
• Sleeper agents (00:05:55)
• Safety plans of the three major labs (00:21:47)
• Misalignment vs misuse vs structural issues (00:50:00)
• Should concerned people work at AI labs? (00:55:45)
• Pause AI campaign (01:30:16)
• Has progress on useful AI products stalled? (01:38:03)
• White House executive order and US politics (01:42:09)
• Reasons for AI policy optimism (01:56:38)
• Zvi’s day-to-day (02:09:47)
• Big wins and losses on safety and alignment in 2023 (02:12:29)
• Other unappreciated technical breakthroughs (02:17:54)
• Concrete things we can do to mitigate risks (02:31:19)
• Balsa Research and the Jones Act (02:34:40)
• The National Environmental Policy Act (02:50:36)
• Housing policy (02:59:59)
• Underrated rationalist worldviews (03:16:22)

Producer and editor: Keiran Harris
Audio Engineering Lead: Ben Cordell
Technical editing: Simon Monsour, Milo McGuire, and Dominic Armstrong
Transcriptions and additional content editing: Katy Moore

Today’s release is a reading of our career review of AI governance and policy, written and narrated by Cody Fenwick.

Advanced AI systems could have massive impacts on humanity and potentially pose global catastrophic risks, and there are opportunities in the broad field of AI governance to positively shape how society responds to and prepares for the challenges posed by the technology.

Given the high stakes, pursuing this career path could be many people’s highest-impact option. But they should be very careful not to accidentally exacerbate the threats rather than mitigate them.

If you want to check out the links, footnotes and figures in today’s article, you can find those here.

Editing and audio proofing: Ben Cordell and Simon Monsour
Narration: Cody Fenwick