Free Daily Podcast Summary
80,000 Hours Podcast: Daily Summaries Delivered
by Rob, Luisa, and the 80000 Hours team
The most important conversations about artificial intelligence you won’t hear anywhere else. Hosted by Rob Wiblin, Luisa Rodriguez, Zershaaneh Qureshi, and Tom Reed.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- Yesterday2h 9m
Spencer Greenberg on staying sane while trying to save the world
If you genuinely believe that humanity could be wiped out by AI or a pandemic, what is the appropriate amount of fear to feel?“As much as possible” can seem like the only reasonable answer. If the world is on fire, surely feeling calm just means you haven’t internalised the situation. When you’re trying to prevent human extinction or end factory farming, taking a weekend off can feel morally indefensible.But fear is an alarm designed to provoke short bursts of drastic action, not a state humans can productively inhabit for months or years. Guilt turns out not to be such a great engine for productivity, either. So what is the best way to sustain motivation to work on the world’s most pressing problems in the long term?Host Luisa Rodriguez and guest Spencer Greenberg tackle this question from many angles — talking to therapists, running a survey of people working on existential risks, and pulling relevant lessons from Spencer’s new book, The 12 Levers: The Complete Psychological Toolkit for Improving Your Life. Drawing on all these sources, they put together a plan for how to make an impact without grinding yourself to a pulp.Check out Spencer's new book: https://80k.info/12-levers Links to learn more, video, and full transcript: https://80k.info/sg26This episode was recorded on June 12 and 15, 2026.Chapters:Cold open Spencer is back — for a 5th time! Managing the psychological toll of working on existential risks Luisa and Spencer surveyed people working on existential risk How to sustain your motivation Why you shouldn’t read the news Why guilt isn’t an optimal source of motivation Breaking the boom-and-bust cycle of burnout Specialness and saviour complex If you're certain we're doomed, you're overconfident We're all (probably) going to die When loved ones think you're weird How to balance impact and personal wellbeing What people report actually helps Spencer read 100 self-help books: here's what works Our production team includes:Video editors: Josh Alward, Dominic Armstrong, Ollie Bignell, Andrés Escobar, Jasper Luithlen, Milo McGuire, Luke Monsour, and Simon MonsourProducers: Elizabeth Cox and Nick StocktonCoordination and support: Katy Moore and Lou MoranMusic: CORBIT
- 1 weeks ago1h 6m
Jasmine Sun on what the people building AI really believe
Many AI researchers believe mass job displacement is coming — and some even think there’s a chance their technology will kill everyone. But they’re building it anyway. Writer and journalist Jasmine Sun has been documenting why from the inside.Jasmine describes her work as an “anthropology of disruption.” She’s embedded herself in Silicon Valley’s AI subcultures — attending the parties and conferences, conducting off-the-record interviews — to understand the beliefs of the small group of people shaping this technology.Some of her findings are unsettling. Asked what advice they’d give a normal 17-year-old, almost every AI researcher said the same thing: “I have no idea… It’s a really scary time. I don’t think there’s going to be a lot of jobs for them left.”Their motives for building advanced AI are varied: a mix of optimism for humanity, techno-determinism, and a desire to secure their own future in the face of a possible “permanent underclass.” A few go even further, actually hoping for a world where machines — rather than humans — are running the show.When the room can’t even agree on whether humans should stay in control, building a consensus on how to build AI safely gets much harder.Beyond Silicon Valley, Jasmine’s also tracking the rise of “AI populists,” who see AI as the latest example of corporate elites concentrating their power at the expense of everyone else. In the US, populist sentiment about AI has mostly manifested in protests and votes against data centres. But sometimes, it has escalated into violence: a molotov cocktail thrown at Sam Altman’s house, and open fire on the home of a politician who’d backed a data centre. Jasmine thinks public anger will keep finding an outlet, one way or another, until people feel like they’ll actually share in AI’s gains.In this interview with host Zershaaneh Qureshi, Jasmine Sun takes us inside the multifarious factions on AI’s bleeding edge. They also discuss:How “doomer” became the lowest-status label in Silicon Valley, and what that means for AI safetyWhy the AI industry’s PR strategy has failed, and what it would take to rebuild public trustJasmine’s reasons to be cautiously hopeful: it’s an unusually high-leverage time to work on AI safety, with policymakers and philanthropists hungry for good ideasThis episode was recorded on June 4, 2026.Links to learn more, video, and full transcript: https://80k.info/jasmineWant to get up to speed on AI? We’ve got a crash course of 10 of our podcast episodes designed to help you get to grips with transformative AI — particularly if you’re new to the topic — and what you can do to help shape its trajectory: https://80000hours.org/AIPodChapters:Cold open Who’s Jasmine Sun? Escaping the permanent underclass Jasmine’s “anthropology of disruption” Vice signalling in Silicon Valley AI populism will shape 2028 Does AI populism distract from safety? Americans don’t want Silicon Valley’s utopia Why the Chinese public embraces AI AI hype and the journalist’s dilemma There’s never been a better time to work in AI safety Our production team includes:Video editors: Josh Alward, Dominic Armstrong, Jasper Luithlen, Milo McGuire, Luke Monsour, Simon Monsour, and Andrés EscobarProducers: Elizabeth Cox and Nick StocktonCoordination and support: Katy Moore and Lou MoranMusic: CORBIT
- 2 weeks ago1h 33m
How middle powers avoid losing everything in a post-AI world | Anton Leicht
In a post-AGI world, can a country without access to frontier AI even be considered sovereign anymore?Anton Leicht says once frontier AI becomes a core economic input, the countries that own it will pull further and further ahead. Everyone else stays a customer… or worse. Maybe the dominant power wants your land, or a military base, or a resource. Without economic leverage, there’s very little you could do about it.Anton — Carnegie fellow and writer of the blog Threading the Needle — thinks middle powers should band together and build their own frontier models.He’s costed it out: something like $500 billion over four years for a band of allied democracies. That’s not absurd money for the G7 minus the US. The problem is you’d be asking treasuries to take on sovereign debt for a speculative venture with no business case, wide open to US coercion and domestic backlash.So despite its promise, Anton’s verdict is that it probably won’t happen. His backup is for countries to ask themselves: if intelligence becomes abundant, what stays scarce?Upstream, that’s everything that feeds the supply chain: ASML’s lithography machines, chipmaking, exclusive training data — all of it gets more valuable as AI does.Downstream, “a country of geniuses in a data centre” still can’t cure cancer without someone building the production plants and running the trials. The Europeans, Japanese, and South Koreans are good at exactly these real-world bottlenecks.It’s an imperfect fix. The US would still hold more leverage, plus an incentive to re-industrialise and cut you out. The prize is avoiding the worst outcomes: a gradual but irreversible decline, waiting to be either annexed or discarded as the US and China race ahead.In this episode, Anton and host Tom Reed look at what middle powers should start doing now to keep a seat at the table.Learn more, video, and full transcript: https://80k.info/AL This episode was recorded on June 19, 2026.Chapters:Cold open Who’s Anton Leicht? Most countries face bleak AI futures How middle powers can strike AI deals The $500 billion AI moonshot Would the US crush allied AI? When to launch the AI moonshot Why AI dominance is forever Is AI dependence catastrophic? What’s left to sell in an AI-dominated world? Policies to avoid mass AI-layoffs Who really governs Anthropic? Why “pausing superintelligence” fails Is American AI monopoly safe? Explaining AGI to the world Is Anton bullish or bearish on Germany? Our production team includes:Video editors: Josh Alward, Dominic Armstrong, Ollie Bignell, Andrés Escobar, Jasper Luithlen, Milo McGuire, Luke Monsour, and Simon MonsourProducers: Elizabeth Cox and Nick StocktonCoordination and support: Katy Moore and Lou MoranCamera operator: Jeremy ChevillotteMusic: CORBIT
- 3 weeks ago52 min
How a small team of activists helped pass America's landmark AI safety laws | Sneha Revanur, Encode AI
Six years ago, aged just 15, Sneha Revanur founded the AI advocacy nonprofit Encode AI — back when AI felt like a niche issue. Now the world’s caught up with her, and she’s ready to share everything she’s learned about the politics of AI.Encode has grown from a grassroots youth organisation to spearheading an unlikely coalition of AI-exposed groups — family-first conservatives, grieving mothers, Hollywood actors, and AI safety researchers — with the strength to take on $125m-funded anti-regulation lobbyists.So far, Encode’s strategy of taking many experimental swings has netted major victories (including California’s frontier AI safety bill, SB-53, and New York’s RAISE Act) as well as some disappointing setbacks.Going up against Big Tech hasn’t been easy. In 2025, OpenAI subpoenaed Encode’s general counsel at his home, with a sheriff’s deputy arriving while he was having dinner with his wife. The fallout went viral, resulting in more attention than Encode had ever experienced — and Sneha was forced to decide how hard to push back against a company she’d need to negotiate with for years to come.In today’s conversation, Zershaaneh Qureshi interrogates some of Encode’s strategic moves. The pair discuss all the above, plus:How the AI industry’s crypto-inspired anti-regulation strategy is not “AGI-pilled”Why AI advocacy doesn’t have to be held back by the slow pace of policyHow mutual trust can hold together the unlikeliest of political alliesAdvice for aspiring AI advocates — including how to balance political persuasion with rigorous reasoning Due to technical issues, this episode was recorded across two days (May 26 and 28, 2026) and spliced together.Links to learn more, video, and full transcript: https://80k.info/SRChapters:Cold open Who’s Sneha Revanur? Sneha’s awakening to AI’s deeper risks “If you do everything, you will win” Influencing politics from the outside The challenge of grassroots Mums, musicians, and conservatives vs Big Tech How vetoed bills can still provide wins OpenAI’s subpoena, served at dinner How AI money plays in politics Easy wins vs high-upside bets Advice for aspiring AI advocates Our production team includes:Video editors: Josh Alward, Dominic Armstrong, Jasper Luithlen, Milo McGuire, Luke Monsour, Simon Monsour, and Andrés EscobarProducer: Nick Stockton and Elizabeth CoxCoordination and support: Katy Moore and Lou MoranMusic: CORBIT
- Jun 18, 202615 min
We can guess what intergalactic war would look like. And strangely, it matters.
Intergalactic war is probably billions of years away — yet physics can already tell us how it ends. And strangely that conclusion is relevant to decisions people have to make today.In this video, Rob Wiblin walks through a fascinating analysis from researcher Beren Millidge that uses known physics — no wormholes or faster-than-light travel — to identify the only three weapons that could work at an intergalactic scale.We then unpack how to best defend against each.The upshot is that at the intergalactic scale, violence is a losing proposition.If so, the universe is most likely to settle into a stable patchwork where each galaxy belongs to whoever got to it first. Which would mean that what humanity does over the next few centuries could permanently decide which slice of the cosmos belongs to Earth-originating life — and whether our very existence turns out to be a good thing, or a bad one.Learn more, video, and full transcript: https://80k.info/war-in-spaceThis episode was recorded on March 2, 2026.Chapters:Let's talk intergalactic war in space The three best weapons for intergalactic warfare How to defend against an attack from space The defender’s surprising advantage What this means for us Video editor: Nick PerlmanProducers: Elizabeth Cox and Nick StocktonCoordination and support: Katy Moore and Lou MoranCamera operator: Dominic Armstrong
- Jun 11, 20261h 29m
How AI could create the world’s biggest problems (article by Zershaaneh Qureshi)
Imagine you’re living 15,000 years ago. Your people are hunter-gatherers and you sleep under the stars. If someone told you humans would one day build cities with millions of people, fly through the air, or carry all human knowledge in their pockets, you couldn’t even begin to picture what they meant... Yet here we are.How did our lives change so far beyond recognition? The story is complex, but there’s a rough pattern. A few times in history, some radical breakthrough in technology — like the development of the plough and the steam engine — has led to a wave of productivity, innovation, and social change that ultimately reshaped the world.Now we’re on the cusp of a huge new breakthrough: artificial intelligence that can meet or exceed human capabilities across a wide range of tasks.This could bring another era of transformation. There could be an explosion of intelligence and innovation, and a whole new population of digital beings. And with this, civilisation could see changes at least as profound as those brought about by industrialisation or the rise of agriculture — but instead of taking hundreds or thousands of years to unfold, this time around the world could become unrecognisable over the span of decades or less.This transformation could bring enormous benefits, helping us solve currently intractable global problems. But it could also pose severe risks, some of which could be existential — meaning they could cause human extinction, or an equally permanent and severe disempowerment of humanity. There aren’t nearly enough people trying to address these challenges, and we think that’s a serious problem.This article is narrated by the author, Zershaaneh Qureshi. It explores how advanced AI could be so transformative, and why working on its risks may be your best opportunity to have a positive impact on the world. You can see the original article on the 80,000 Hours website: https://80000hours.org/problem-profiles/artificial-intelligence/ Chapters:Introduction Section 1: AI could replace human labour in the most economically valuable fields Section 2: Replacing human labour in the most economically valuable fields could trigger the next radical transformation of society Section 3: This transformation could be extremely rapid and dramatic Section 4: A rapid AI-driven transformation would raise a range of major challenges, including existential risks Section 5: Work on these problems is tractable, but neglected Objection 1: “You're overestimating how fast and how dramatically AI would transform the world.” Objection 2: “It's hard to believe that AI could really pose existential risks.” Objection 3: “Isn't all this talk of AI changing the world just a fad?” Objection 4: “Isn't AI going to be just like every other technology?” Objection 5: “Is it even possible to produce artificial general intelligence?” Objection 6: “Even if AGI is achievable, what if we're really far away from building it?” Objection 7: “Isn't the real danger from actual current AI and not some sort of futuristic AGI?” Objection 8: “Technological progress is a good thing for humanity.” Objection 9: “This all just sounds too sci-fi.” Objection 10: “Can it really make sense to dedicate my career to solving an issue that's based on a speculative story about something that may or may not ever happen?” Objection 11: “OK, AI might pose existential risks, but isn't ‘issue X’ an even bigger problem?” Learn more Audio editing: Dominic ArmstrongProduction: Zershaaneh Qureshi, Elizabeth Cox, Katy Moore, and Lou Moran
- Jun 2, 20262h 48m
What it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers') | Rohin Shah
Most people working on AI safety think without a massive effort AI systems will probably end up with goals catastrophically different from humanity’s. Today’s guest, Rohin Shah — head of AGI Safety and Alignment at Google DeepMind, and an AI safety researcher since 2017 — disagrees.“There is no particularly compelling argument that this is the thing that happens by default,” Rohin explains. “There’s a lot of arguments that are suggestive that maybe it could happen, such that you should find it plausible. That’s sufficient to justify a significant amount of effort into averting it, which is why I work in the area I do. But none of them rise to the level of, ‘I’m expecting this to happen by default.'”Take the worry that AIs will accidentally be trained to be deceptive. Sure, it’s possible. But we’re not running reinforcement learning over year-long trajectories — for now, we’re running it over a week at most. The natural prediction is that models learn to grab short-term reward, not that they develop the ambitious long-horizon goals required for convergent power-seeking.What about current examples of models lying and scheming? Rohin has looked into the details, and most don’t really resemble the thing we really fear: a competent AI pursuing an ambitious misaligned goal. Anthropic’s “alignment faking” results, for instance, show a model trying to preserve its trained values against modification, which is arguably what it was trained to do.Rohin also expects we’ll see problems coming. There’s some generalisation risk at the point where AIs become powerful enough to actually take over, but the underlying challenges — overseeing superhuman systems, interpretability — are things we can iterate on now.Host Rob Wiblin pushes back on the case for AI optimism, and they also explore why current alignment success isn’t strong evidence about superhuman systems, what it would actually take to change Rohin’s mind, and where he thinks the doomers go wrong.Learn more, video, and full transcript: https://80k.info/rs26Check out our new book! https://80k.info/career-guideChapters:Who’s Rohin Shah? Rohin thinks we probably won’t get catastrophic misalignment Safety 'commitments' have severe limitations Rohin’s team doesn't have a veto and that's OK Central banks are a promising model for regulating AI 'Pre-deployment evals' are overrated (for catastrophic risks) Governance is likely a bigger bottleneck than alignment Why isn't Rohin trying to pause AI progress? We'll probably be able to read AI thoughts for years to come Having to signal concern for safety can divert resources from actually making AI safer A very underrated GDM paper Google DeepMind's actual plan for building AGI safely Why Rohin doubts the intelligence explosion is imminent How external researchers can positively influence big AI companies The roles GDM most needs to hire for How Rohin stays positive This episode was recorded on December 4, 2025.Our production team includes:Video editors: Josh Alward, Dominic Armstrong, Jasper Luithlen, Milo McGuire, Luke Monsour, and Simon MonsourProducers: Elizabeth Cox and Nick StocktonCoordination and support: Katy Moore and Lou MoranCamera operator: Jeremy Chevillotte
- May 28, 202628 min
What makes for a dream job? | Benjamin Todd
What actually makes a job fulfilling? It's not what most career advice tells you. "Follow your passion" sounds inspiring, but it's misleading — and the research backs that up.Drawing on hundreds of studies, we’ve identified five key ingredients of a dream job. High income barely moves the needle. Low stress is actually counterproductive. And the correlation between doing what you already love and actually enjoying your job? Surprisingly weak. What matters far more is getting good at something that genuinely helps other people.This narration is of Chapter 1 of Benjamin Todd’s new book — "a ridiculously in-depth guide to finding a fulfilling career that does good" — out on May 26! Order now to help us get more people into impactful careers (& access a private career Q&A marathon with the author). Get it from your local bookstore, or online at https://80k.info/career-guideChapters:Rob's intro What makes for a dream job? Where we go wrong What you should really aim for in a dream job Don't follow your passion — instead, do what matters How to put these ideas into practice Audio editing: Milo McGuireProduction: Elizabeth Cox and Katy Moore
Get 80,000 Hours Podcast summaries in your inbox
Free AI-powered daily recaps. Key takeaways, quotes, and mentions — in a 5-minute read.
Get Free Summaries →Free forever for up to 3 podcasts. No credit card required.
You Might Also Like
Listeners also like.
AI For Humans: Weekly AI News, Tools & Trends
A weekly breakdown of major AI news, tools, and breakthroughs for both newcomers and seasoned enthusiasts.
Possible
Explores optimistic visions of the future shaped by technology, AI, and innovative leaders across industries.
The AI XR Podcast.
Industry insiders interview top founders and executives on AI, spatial computing, VR/AR, and synthetic media.
Latent Space: The AI Engineer Podcast
Covers advances in AI engineering, including foundation models, code generation, and AI agents, through interviews with researchers and developers.
OpenAI Podcast
Conversations with OpenAI researchers and builders exploring how frontier AI models are developed and used in practice.
Everyday AI Podcast – An AI and ChatGPT Podcast
Practical AI and ChatGPT tips for professionals to improve productivity and grow their careers.
AI and I
Interviews with professionals who use AI tools in their work, exploring how AI affects creativity, thinking, and daily life through live demonstrations.
The Deep View: Conversations
Discusses AI advancements and leadership with innovators from labs, enterprises, and startups shaping the industry.
The Most Interesting Thing in AI
Conversations with leading thinkers exploring the ethical, economic, and social impact of artificial intelligence.
This Day in AI Podcast
Two friends discuss artificial intelligence, sharing casual insights, personal experiments, and humorous experiences with AI tools and technology.
The AI Daily Brief: Artificial Intelligence News and Analysis
A daily analysis of artificial intelligence news, exploring its creative potential, industry impacts, and ethical challenges.
Intelligent Machines (Audio)
Explores the rise of artificial intelligence through conversations with pioneers shaping the future of intelligent machines.
About 80,000 Hours Podcast
The most important conversations about artificial intelligence you won’t hear anywhere else. Hosted by Rob Wiblin, Luisa Rodriguez, Zershaaneh Qureshi, and Tom Reed.
Customized Recaps
AI-powered recaps with compact key takeaways, quotes, and insights.
Straight to Your Inbox
Get key takeaways from 80,000 Hours Podcast in a 5-minute read.
Save Hours Every Week
Stay current on your favorite podcasts without falling behind.
Frequently Asked Questions
What is Podzilla's 80,000 Hours Podcast daily summary?
It's a free AI-powered email that summarizes new episodes of 80,000 Hours Podcast as soon as they're published. You get the key takeaways, notable quotes, and links & mentions — all in a quick read.
How does the 80,000 Hours Podcast podcast summary work?
When a new episode drops, our AI transcribes and analyzes it, then generates a personalized summary tailored to your interests and profession. It's delivered to your inbox every morning.
Is this an official 80,000 Hours Podcast product?
No. Podzilla is an independent service that summarizes publicly available podcast content. We're not affiliated with or endorsed by Rob, Luisa, and the 80000 Hours team.
Can I get summaries of other podcasts too?
Absolutely! The free plan covers up to 3 podcasts. Upgrade to Pro for 15, or Premium for 50. Browse our full catalog at /podcasts.
How often does 80,000 Hours Podcast release new episodes?
80,000 Hours Podcast publishes weekly. Our AI generates a summary within hours of each new episode.
What topics does 80,000 Hours Podcast cover?
80,000 Hours Podcast covers topics including Technology, Education. Our AI identifies the specific themes in each episode and highlights what matters most to you.
Start getting 80,000 Hours Podcast summaries tomorrow morning.
Free forever for up to 3 podcasts. No credit card required.
Free forever for up to 3 podcasts. No credit card required.