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.
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A compilation of ten key episodes on artificial intelligence and related topics from 80,000 Hours. Together they'll help you learn about how AI looks from a broadly longtermist, existential risk, or effective altruism flavoured point of view.
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A collection of ten top episodes of the 80,000 Hours Podcast, specifically selected to help listeners get up to speed on effective altruism as quickly as possible.
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A collection of ten top episodes of the 80,000 Hours Podcast, designed to bring you up to speed on ten pressing issues the effective altruism community is working to solve.
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The 80,000 Hours Career Guide — Find a fulfilling career that does good
Benjamin Todd & the 80,000 Hours team
An audio version of 2023's 80000 Hours Career Guide (https://80000hours.org/career-guide/). Also available on Amazon, Audible, and free on our website . It contains 11 chapters, from 'What makes for a dream job?' to 'Which jobs help people the most?' to 'What’s the best way to gain connections?' It also has 9 appendices on a range of topics like 'All the evidence-based advice we found on how to be more successful in any job' and 'is it ever OK to take a harmful job in order to do more good?' ...
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The Geopolitics of AGI | Helen Toner (Director of CSET & past OpenAI board member)
2:20:02
2:20:02
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2:20:02With the US racing to develop AGI and superintelligence ahead of China, you might expect the two countries to be negotiating how they’ll deploy AI, including in the military, without coming to blows. But according to Helen Toner, director of the Center for Security and Emerging Technology in DC, “the US and Chinese governments are barely talking at…
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#226 – Holden Karnofsky on unexploited opportunities to make AI safer — and all his AGI takes
4:30:19
4:30:19
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4:30:19For years, working on AI safety usually meant theorising about the ‘alignment problem’ or trying to convince other people to give a damn. If you could find any way to help, the work was frustrating and low feedback. According to Anthropic’s Holden Karnofsky, this situation has now reversed completely. There are now large amounts of useful, concrete…
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#225 – Daniel Kokotajlo on what a hyperspeed robot economy might look like
2:12:01
2:12:01
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2:12:01When Daniel Kokotajlo talks to security experts at major AI labs, they tell him something chilling: “Of course we’re probably penetrated by the CCP already, and if they really wanted something, they could take it.” This isn’t paranoid speculation. It’s the working assumption of people whose job is to protect frontier AI models worth billions of dol…
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#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie
2:31:11
2:31:11
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2:31:11Conventional wisdom is that safeguarding humanity from the worst biological risks — microbes optimised to kill as many as possible — is difficult bordering on impossible, making bioweapons humanity’s single greatest vulnerability. Andrew Snyder-Beattie thinks conventional wisdom could be wrong. Andrew’s job at Open Philanthropy is to spend hundreds…
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Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution
1:05:58
1:05:58
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1:05:58Jake Sullivan was the US National Security Advisor from 2021-2025. He joined our friends on The Cognitive Revolution podcast in August to discuss AI as a critical national security issue. We thought it was such a good interview and we wanted more people to see it, so we’re cross-posting it here on The 80,000 Hours Podcast. Jake and host Nathan Labe…
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#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)
1:46:49
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1:46:49At 26, Neel Nanda leads an AI safety team at Google DeepMind, has published dozens of influential papers, and mentored 50 junior researchers — seven of whom now work at major AI companies. His secret? “It’s mostly luck,” he says, but “another part is what I think of as maximising my luck surface area.” Video, full transcript, and links to learn mor…
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#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)
3:01:11
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3:01:11We don’t know how AIs think or why they do what they do. Or at least, we don’t know much. That fact is only becoming more troubling as AIs grow more capable and appear on track to wield enormous cultural influence, directly advise on major government decisions, and even operate military equipment autonomously. We simply can’t tell what models, if a…
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#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments
2:28:53
2:28:53
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2:28:53What happens when you lock two AI systems in a room together and tell them they can discuss anything they want? According to experiments run by Kyle Fish — Anthropic’s first AI welfare researcher — something consistently strange: the models immediately begin discussing their own consciousness before spiraling into increasingly euphoric philosophica…
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How not to lose your job to AI (article by Benjamin Todd)
51:25
51:25
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51:25About half of people are worried they’ll lose their job to AI. They’re right to be concerned: AI can now complete real-world coding tasks on GitHub, generate photorealistic video, drive a taxi more safely than humans, and do accurate medical diagnosis. And over the next five years, it’s set to continue to improve rapidly. Eventually, mass automatio…
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Rebuilding after apocalypse: What 13 experts say about bouncing back
4:26:38
4:26:38
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4:26:38What happens when civilisation faces its greatest tests? This compilation brings together insights from researchers, defence experts, philosophers, and policymakers on humanity’s ability to survive and recover from catastrophic events. From nuclear winter and electromagnetic pulses to pandemics and climate disasters, we explore both the threats tha…
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#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years
2:50:32
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2:50:32Ryan Greenblatt — lead author on the explosive paper “Alignment faking in large language models” and chief scientist at Redwood Research — thinks there’s a 25% chance that within four years, AI will be able to do everything needed to run an AI company, from writing code to designing experiments to making strategic and business decisions. As Ryan la…
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#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand
2:48:22
2:48:22
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2:48:22The era of making AI smarter just by making it bigger is ending. But that doesn’t mean progress is slowing down — far from it. AI models continue to get much more powerful, just using very different methods, and those underlying technical changes force a big rethink of what coming years will look like. Toby Ord — Oxford philosopher and bestselling …
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#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good
2:48:42
2:48:42
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2:48:42For decades, US allies have slept soundly under the protection of America’s overwhelming military might. Donald Trump — with his threats to ditch NATO, seize Greenland, and abandon Taiwan — seems hell-bent on shattering that comfort. But according to Hugh White — one of the world's leading strategic thinkers, emeritus professor at the Australian Na…
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#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress
3:47:09
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3:47:09AI models today have a 50% chance of successfully completing a task that would take an expert human one hour. Seven months ago, that number was roughly 30 minutes — and seven months before that, 15 minutes. (See graph.) These are substantial, multi-step tasks requiring sustained focus: building web applications, conducting machine learning research…
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Beyond human minds: The bewildering frontier of consciousness in insects, AI, and more
3:34:40
3:34:40
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3:34:40What if there’s something it’s like to be a shrimp — or a chatbot? For centuries, humans have debated the nature of consciousness, often placing ourselves at the very top. But what about the minds of others — both the animals we share this planet with and the artificial intelligences we’re creating? We’ve pulled together clips from past conversatio…
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Don’t believe OpenAI’s “nonprofit” spin (emergency pod with Tyler Whitmer)
1:12:04
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1:12:04OpenAI’s recent announcement that its nonprofit would “retain control” of its for-profit business sounds reassuring. But this seemingly major concession, celebrated by so many, is in itself largely meaningless. Litigator Tyler Whitmer is a coauthor of a newly published letter that describes this attempted sleight of hand and directs regulators on h…
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The case for and against AGI by 2030 (article by Benjamin Todd)
1:00:06
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1:00:06More and more people have been saying that we might have AGI (artificial general intelligence) before 2030. Is that really plausible? This article by Benjamin Todd looks into the cases for and against, and summarises the key things you need to know to understand the debate. You can see all the images and many footnotes in the original article on th…
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