80,000 Hours Podcast
Unusually in-depth conversations about the world's most pressing problems and what you can do to solve them.
Subscribe by searching for '80000 Hours' wherever you get podcasts.
Hosted by Rob Wiblin and Luisa Rodriguez.
Latest Episode
Why I quit everything to work on a biothreat nobody had heard of — James Smith, Mirror Biology Dialogues Fund (13.01.2026)
Previous Episodes
- #144 Classic episode – Athena Aktipis on why cancer is a fundamental universal phenomena
- #142 Classic episode – John McWhorter on why the optimal number of languages might be one, and other provocative claims about language
- 2025 Highlight-o-thon: Oops! All Bests
- #232 – Andreas Mogensen on what we owe 'philosophical Vulcans' and unconscious beings
- #231 – Paul Scharre on how AI-controlled robots will and won't change war
- AI might let a few people control everything — permanently (article by Rose Hadshar)
- #230 – Dean Ball on how AI is a huge deal — but we shouldn’t regulate it yet
- #229 – Marius Hobbhahn on the race to solve AI scheming before models go superhuman
- Rob & Luisa chat kids, the 2016 fertility crash, and how the 50s invented parenting that makes us miserable
- #228 – Eileen Yam on how we're completely out of touch with what the public thinks about AI
- OpenAI: The nonprofit refuses to be killed (with Tyler Whitmer)
- #227 – Helen Toner on the geopolitics of AGI in China and the Middle East
- #226 – Holden Karnofsky on unexploited opportunities to make AI safer — and all his AGI takes
- #225 – Daniel Kokotajlo on what a hyperspeed robot economy might look like
- #224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie
- Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution
- #223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)
- #222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)
- #221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments
- How not to lose your job to AI (article by Benjamin Todd)
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